';
for (const [, r] of combos) {
@@ -640,6 +646,13 @@ function renderPerBenchmarkTable(mainResults) {
html += `| ${statusIcon(r.resolved)} ${(r.score * 100).toFixed(0)}% | `;
html += `${formatDurationShort(r.duration_seconds)} | `;
html += `${formatCost(r.details?.cost_usd)} | `;
+ const traceSummary = r.trace_summary || '';
+ const escaped = traceSummary.replace(/&/g, '&').replace(//g, '>').replace(/"/g, '"');
+ const truncated = escaped.length > 80 ? escaped.substring(0, 77) + '...' : escaped;
+ const traceHtml = r.trace_url
+ ? '' + (truncated || 'trace') + ''
+ : (truncated || '—');
+ html += '' + traceHtml + ' | ';
html += `${commitLink} | `;
html += `${runLink} | `;
html += '';
@@ -756,6 +769,7 @@ function updateRunHistoryTable() {
const matchS = !sv || solver === sv;
if (!matchB || !matchS) continue;
const runLink = j.run_url ? `link` : '';
+ const traceLink = j.trace_url ? `trace` : '';
rowsHtml += ``;
rowsHtml += `| ${j.benchmark} | `;
rowsHtml += `${solver} | `;
@@ -763,8 +777,15 @@ function updateRunHistoryTable() {
rowsHtml += `${formatCost(j.details?.cost_usd)} | `;
rowsHtml += `${formatDurationShort(j.duration_seconds)} | `;
rowsHtml += ` | `;
- rowsHtml += `${runLink} | `;
+ rowsHtml += `${runLink}${traceLink ? ' ' + traceLink : ''} | `;
rowsHtml += '
';
+ if (j.trace_analysis) {
+ const analysisTraceLink = j.trace_url ? ' View in Langfuse →' : '';
+ rowsHtml += ``;
+ rowsHtml += 'Trace Analysis' + analysisTraceLink + '';
+ rowsHtml += '' + j.trace_analysis.replace(//g, '>').replace(/\n/g, '
') + ' ';
+ rowsHtml += ' |
';
+ }
}
}
diff --git a/docs/codex-mcp.md b/docs/codex-mcp.md
deleted file mode 100644
index 5c48bc6fd..000000000
--- a/docs/codex-mcp.md
+++ /dev/null
@@ -1,78 +0,0 @@
-# Codex CLI: MCP Server Setup
-
-The Factory exposes its tools via the Model Context Protocol (MCP). This allows Codex CLI to call factory commands directly as tool invocations.
-
-## Quick Start
-
-```bash
-codex mcp add factory -- factory serve-mcp
-```
-
-This registers the factory MCP server with Codex CLI. The server runs over stdio and exposes all factory subcommands as MCP tools.
-
-## Manual Configuration
-
-Add to `~/.codex/config.toml`:
-
-```toml
-[mcp_servers.factory]
-command = "factory"
-args = ["serve-mcp"]
-```
-
-## Prerequisites
-
-The `factory` CLI must be installed and on PATH:
-
-```bash
-uv tool install remote-factory
-# or from source
-uv tool install git+https://github.com/akashgit/remote-factory
-```
-
-Verify with:
-
-```bash
-factory --help
-factory serve-mcp # should start and wait for MCP messages on stdin
-```
-
-## Available Tools
-
-The MCP server exposes these factory operations:
-
-| Tool | Description |
-|------|-------------|
-| `detect` | Detect project state |
-| `discover` | Introspect project and generate eval profile |
-| `eval` | Run project evaluations |
-| `begin` | Start a new experiment |
-| `finalize` | Finalize an experiment with a verdict |
-| `history` | Show experiment history |
-| `status` | Print project status summary |
-| `study` | Analyze codebase and write observations |
-| `backlog-list` | List pending backlog items |
-| `backlog-add` | Add a backlog item |
-| `backlog-remove` | Remove a backlog item |
-
-## Installing Codex Agents
-
-To install factory specialist agents for direct invocation:
-
-```bash
-factory install --runner codex
-```
-
-This writes TOML agent files to `~/.codex/agents/factory-*.toml`. Use them with:
-
-```bash
-codex --agent factory-researcher
-codex --agent factory-builder
-codex --agent factory-ceo
-```
-
-## Troubleshooting
-
-**MCP server not found:** Ensure `factory` is on your PATH. Run `which factory` to verify.
-
-**Connection refused:** The MCP server uses stdio transport, not HTTP. It reads from stdin and writes to stdout. Codex CLI handles the connection automatically when configured via `codex mcp add` or `config.toml`.
diff --git a/docs/coding-playbook.md b/docs/coding-playbook.md
new file mode 100644
index 000000000..e1aedaae5
--- /dev/null
+++ b/docs/coding-playbook.md
@@ -0,0 +1,85 @@
+# Coding Playbook — Factory Development Guide
+
+## Workflow-to-Skill Compilation Pipeline
+
+All factory modes are defined as directed graphs (Pydantic models) that compile into two execution formats. The pipeline has three layers:
+
+```
+factory/workflow/definitions.py ← Source of truth (Pydantic graph models)
+ │
+ ├──► factory/workflow/executor.py (headless: walks the DAG)
+ │ factory workflow run --project /path
+ │
+ └──► factory/workflow/skill_export.py (interactive: graph → SKILL.md)
+ WORKFLOW_META dict + compiler
+ └── skills/workflow-*/SKILL.md (generated output)
+```
+
+**CARDINAL RULE: Never edit `skills/workflow-*/SKILL.md` files directly.** They are generated artifacts. All changes must go through:
+
+1. Edit the workflow definition in `factory/workflow/definitions.py`, or
+2. Edit the metadata in `WORKFLOW_META` in `factory/workflow/skill_export.py`
+3. Run `factory workflow export-skills` to regenerate all SKILL.md files
+
+Editing SKILL.md directly causes drift between graph definitions and skills, leading to Sacred Rule violations (see experiment #5, issue #812).
+
+## Adding or Modifying Workflow Nodes
+
+Each workflow function in `definitions.py` returns a `Workflow` Pydantic model containing typed nodes connected by `Edge` objects. Six node types are available:
+
+### AgentNode — spawn a specialist agent
+
+```python
+nodes["researcher"] = AgentNode(
+ id="researcher",
+ role=AgentRole.RESEARCHER,
+ prompt_template="Research the problem space. Write findings to .factory/strategy/research.md",
+ writes={".factory/strategy/research.md"},
+)
+```
+
+### FnNode — run a shell command
+
+```python
+nodes["begin"] = FnNode(
+ id="begin",
+ command='factory begin {project_path} --hypothesis "$HYPOTHESIS"',
+ writes={".factory/experiments/current_id"},
+)
+```
+
+### GateNode — CEO decision point (PROCEED / RELOOP / HALT)
+
+```python
+nodes["gate_research"] = GateNode(
+ id="gate_research",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ gate_prompt="Is the research adequate? Check for coverage gaps.",
+ reads={".factory/strategy/research.md"},
+)
+```
+
+Connect nodes with edges. Conditional edges fire on specific gate verdicts:
+
+```python
+Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED)
+Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP)
+```
+
+See `factory/workflow/README.md` for the full graph engine documentation, including `ForkNode`, `JoinNode`, `Study`, and the validation system.
+
+## Verifying Changes
+
+After modifying workflow definitions:
+
+```bash
+factory workflow validate # Validate graph structure (reads/writes, edges, cycles)
+factory workflow show # Display graph visualization
+factory workflow export-skills # Regenerate SKILL.md files
+git diff skills/ # Review what changed in generated output
+```
+
+## CLI Changes
+
+When adding or modifying CLI flags for a mode (e.g. `--focus` for `--mode create`), edit `factory/cli.py` directly — CLI argument handling is not generated from workflow definitions. The two systems connect at `_build_ceo_task()`, which assembles the CEO prompt from CLI args and passes it to the runner.
diff --git a/docs/configuration.md b/docs/configuration.md
index 42cc1dd46..a4c4e84b7 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -272,6 +272,58 @@ Per-cycle or total budget constraints for research experiments.
$5/cycle, $50 total
```
+### `## Adversarial`
+
+GAN-style adversarial eval loop configuration. Alternates between optimizing a generator and discriminator, switching phases when a component exceeds its threshold for N consecutive rounds (hysteresis). Convergence is detected when both sides sustain above-threshold performance.
+
+```markdown
+## Adversarial
+- generator.eval_command: python eval/score_gen.py
+- generator.metric_name: evasion_rate
+- generator.threshold: 0.4
+- generator.scope: src/generator/, eval/gen_data/
+- generator.timeout: 600
+- discriminator.eval_command: python eval/score_disc.py
+- discriminator.metric_name: recall_specificity
+- discriminator.threshold: 0.8
+- discriminator.scope: src/discriminator/, eval/disc_data/
+- discriminator.timeout: 600
+- hysteresis: 3
+- max_rounds: 50
+- convergence_window: 5
+```
+
+Uses dot-notation to separate generator and discriminator settings. Each eval command should print JSON to stdout with a numeric score (e.g., `{"score": 0.72}`).
+
+| Field | Description | Default |
+|-------|-------------|---------|
+| `generator.eval_command` | Shell command to score the generator | *(required)* |
+| `generator.metric_name` | Label for the generator metric | `generator_score` |
+| `generator.threshold` | Score at which the generator is "good enough" to switch phases | `0.5` |
+| `generator.scope` | Comma-separated file paths the generator may modify | `[]` |
+| `generator.timeout` | Eval timeout in seconds | `300` |
+| `discriminator.*` | Same fields as generator, for the discriminator side | *(required)* |
+| `hysteresis` | Consecutive above-threshold rounds required before switching phases | `3` |
+| `max_rounds` | Hard cap on total rounds (`null` = unlimited) | `null` |
+| `convergence_window` | Both sides must sustain this many consecutive above-threshold rounds to converge | `5` |
+
+**Phase transition algorithm:**
+1. Active component's eval command runs and produces a score
+2. Score >= threshold: increment `consecutive_above` and the active role's per-role streak counter
+3. Score < threshold: reset both `consecutive_above` and the active role's streak to 0
+4. If `consecutive_above >= hysteresis`: switch active role, reset `consecutive_above` to 0
+5. Per-role streak counters freeze when that role is inactive (neither increment nor reset)
+6. Convergence: both per-role streaks independently reach `convergence_window`
+
+State is persisted at `.factory/adversarial_state.json` and survives CEO crashes and restarts.
+
+Inspect or reset state via CLI:
+
+```bash
+factory adversarial-state /path/to/project # View current state
+factory adversarial-state /path/to/project --reset # Reset to defaults
+```
+
## `.factory/` Directory
Generated at runtime by re:factory. Add to `.gitignore` — do not edit manually:
@@ -298,6 +350,7 @@ Generated at runtime by re:factory. Add to `.gitignore` — do not edit manually
├── reviews/
│ ├── -latest.md
│ └── ceo-verdict-.md
+├── adversarial_state.json # Adversarial loop state (phase, streaks, history)
├── archive/ # Archivist notes
│ ├── experiments/
│ ├── strategies/
@@ -320,7 +373,7 @@ CLI flag > env var > profile credential > config.toml [defaults] > hardc
```toml
[defaults]
-runner = "claude" # CLI backend: "claude" or "bob"
+runner = "claude" # CLI backend
model = "" # Claude model for agent subprocesses
projects_dir = "~/factory-projects" # Root for factory-managed projects
@@ -329,9 +382,6 @@ CLAUDE_CODE_USE_VERTEX = "1"
ANTHROPIC_VERTEX_PROJECT_ID = "my-gcp-project"
CLOUD_ML_REGION = "us-east5"
-[credentials.bob]
-FACTORY_RUNNER = "bob"
-BOBSHELL_API_KEY = "..."
```
### Commands
@@ -349,7 +399,6 @@ Profiles let you switch between environments without juggling env vars:
```bash
factory ceo ~/my-project --profile vertex
-factory run ~/my-project --profile bob --loop
factory agent researcher --task "..." --project ~/my-project --profile vertex
```
@@ -374,8 +423,6 @@ Profile credentials are injected via `os.environ.setdefault()`, so pre-existing
| `registry_dir` | `FACTORY_REGISTRY_DIR` | `~/.factory` |
| `managed_dirs` | `FACTORY_MANAGED_DIRS` | *(unset)* |
| `runner_quiet` | `FACTORY_RUNNER_QUIET` | *(unset)* |
-| `bob_dry_run` | `FACTORY_BOB_DRY_RUN` | *(unset)* |
-| `bob_max_invocations_per_cycle` | `FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE` | `8` |
| `ceo_respawn_disabled` | `FACTORY_CEO_RESPAWN_DISABLED` | *(unset)* |
| `ceo_max_respawns` | `FACTORY_CEO_MAX_RESPAWNS` | `3` |
@@ -389,6 +436,6 @@ All environment variables listed below can alternatively be set in `~/.factory/c
| `FACTORY_MODEL` | Model override for agent subprocesses | *(Claude Code default)* |
| `FACTORY_PLAYBOOKS_DIR` | Directory for ACE-evolved agent playbooks | `~/.factory/playbooks` |
| `FACTORY_REGISTRY_DIR` | Override global registry location | `~/.factory` |
-| `FACTORY_RUNNER` | CLI backend: `claude` or `bob` | `claude` |
+| `FACTORY_RUNNER` | CLI backend | `claude` |
-See [Setup Guide — Environment Variables](setup.md#environment-variables) for the full list, including Claude Code authentication, Bob Shell, notifications, and advanced CEO options.
+See [Setup Guide — Environment Variables](setup.md#environment-variables) for the full list, including Claude Code authentication, notifications, and advanced CEO options.
diff --git a/docs/contained/index.md b/docs/contained/index.md
new file mode 100644
index 000000000..4d7c2524b
--- /dev/null
+++ b/docs/contained/index.md
@@ -0,0 +1,751 @@
+# Contained Runtimes
+
+`factory contained` runs any factory command somewhere other than your shell — in a podman container
+on your machine, or in a pod on an OpenShift cluster.
+
+```bash
+factory contained -- ceo ~/code/my-project
+```
+
+Two things make it worth using. The run happens against a **pinned toolchain** — a known Python, a
+known set of agent CLIs, a known set of build tools — rather than whatever your machine has
+accumulated. And it works on a **copy** of your project, so your working tree is never modified.
+
+The copy is a git worktree of your repository, which means two things survive a run on purpose: the
+copy itself, holding whatever the run produced, and a `contained/` branch pointing at it.
+`rm` prints the two commands that remove both once you are done with them.
+
+Everything after `--` is handed inward **verbatim**. The runtime is a place to run the factory, not
+a mode of it, so the host never parses what you pass and cannot break when the CLI grows.
+
+!!! warning "Read the guarantees before trusting them"
+ `contained` bounds *accidents* and gives runs a reproducible environment. It does **not** confine
+ agent-authored code, it is **not** a multi-tenant boundary, and it does **not** replace review.
+ See [What it does and does not protect you from](#what-it-does-and-does-not-protect-you-from).
+
+---
+
+## Quick start
+
+```bash
+factory contained setup # pull the image, check prerequisites
+factory contained verify # report what's missing, with the fix for each
+factory contained -- ceo ~/code/my-project
+factory contained ls # what's running
+factory contained attach # watch it; Ctrl-b d detaches, the run continues
+factory contained sync # how to get the work back
+factory contained rm # tear it down
+```
+
+You need `podman` (with its machine running on macOS), and inference credentials — an
+`ANTHROPIC_API_KEY`, a Vertex configuration, or a credential profile in `~/.factory/config.toml`.
+
+---
+
+## Choosing a target
+
+| | `--target local` | `--target k8s` |
+|---|---|---|
+| Where it runs | a podman container on your machine | a pod on a Kubernetes/OpenShift cluster |
+| Good for | everyday work; attaching and watching | long unattended runs; more CPU and memory than a laptop |
+| Needs | podman | a namespace, and a one-time setup you apply yourself |
+| Your project | a copy, bind-mounted from disk | a copy, uploaded to a volume that outlives the pod |
+| Credentials | taken from your shell, and they enter the container | a Secret you create in the namespace |
+| Survives a laptop closing | no | yes |
+
+### What it does and does not protect you from
+
+`contained` exists to make runs **reproducible** and to keep them **off your working tree**. Both
+targets do that well.
+
+It is **not a security sandbox**, and it is worth being concrete about what that means:
+
+- The agent's code runs with normal network access and can reach anything your machine can. Nothing
+ restricts what it writes or fetches.
+- Locally, your inference credentials are inside the container, because the agent needs them to work.
+- A contained run does not make its diff safe to merge. Review the result exactly as you would
+ review any other change.
+- Neither target is built for running code you do not trust, or for sharing a machine or namespace
+ with people you do not trust.
+
+The cluster target is the more constrained of the two — it runs under a restricted security context
+with namespace-scoped permissions — but the point above still stands for both.
+
+---
+
+## Command reference
+
+```
+factory contained [runtime flags] --
+factory contained {ls|attach|rm|sync|setup|verify|bundle|help} [name]
+```
+
+`help` prints the same text as `--help`, so whichever you reach for works.
+
+**Both targets**
+
+| Flag | Default | Meaning |
+|---|---|---|
+| `--target local\|k8s` | `local` | Which runtime |
+| `--division` | off | Enable the container-manufacturing plane for that target |
+| `--name NAME` | derived | Runtime name |
+| `--env KEY=VALUE` | — | Extra environment, repeatable |
+| `--forward VAR` | — | Forward a named host variable, repeatable |
+| `--image REF` | published default | Override the runtime image |
+| `--yes` | off | Skip confirmations (`rm` of an active run, the secret-scan gate) |
+
+**Local only**
+
+| Flag | Meaning |
+|---|---|
+| `--mount PATH` | Additional host path bind-mounted in, repeatable |
+
+**K8s only**
+
+| Flag | Default | Meaning |
+|---|---|---|
+| `--namespace NS` | current context | Never hardcoded |
+| `--context NAME` | your current one | Which kubeconfig context every cluster command uses |
+| `--storage-class SC` | cluster default | Workspace PVC |
+
+A flag used against the wrong target fails at parse time naming the target it belongs to — never
+silently ignored. Runtime flags go **before** the subcommand; anything flag-shaped after it is an
+error rather than a name.
+
+---
+
+## Interaction examples
+
+Transcripts below are from real runs, with `$HOME` shortened and the project renamed to
+`my-project` throughout so nothing here reads as a required argument. They were captured
+separately, so run names and ages differ between them.
+
+### Checking prerequisites
+
+`verify` reports; it changes nothing. Every failure carries the command that fixes it.
+
+```console
+$ factory contained verify
+[FAIL] container_engine: podman is installed but its engine is not reachable: Cannot connect to Podman...
+ fix: podman machine start
+[FAIL] runtime_image: ghcr.io/akashgit/remote-factory/factory-runtime:latest is not present locally
+ fix: factory contained setup # pulls ghcr.io/akashgit/remote-factory/factory-runtime:latest
+ or, if it is not published yet, point at one you have:
+ export FACTORY_CONTAINED_IMAGE=
+[FAIL] inference: no inference configuration found: CLAUDE_CODE_USE_VERTEX is unset,
+ ANTHROPIC_API_KEY is unset, and ~/.factory/config.toml defines no credential profiles
+ fix: export ANTHROPIC_API_KEY=... and re-run with --forward ANTHROPIC_API_KEY, or
+ configure Vertex (...), or add a [credentials.] section to ~/.factory/config.toml
+
+3 check(s) failed. `factory contained setup` can fix container_engine, runtime_image; the rest
+need the fix shown above each one.
+```
+
+That is what a first run looks like on a machine with nothing set up. `setup` fixes the first two;
+the third is yours, because the factory never handles credential material.
+
+Inference is always reported by **shape** — which backend, which model, which variable or file
+supplied it — and never by printing material:
+
+`setup` runs as a numbered sequence, so it is always clear which step you are on and which one
+stalled. On a terminal the step rules, the `[ ok ]` / `[FAIL]` marks and every resolved value are
+coloured; piped or redirected, the same output is plain text.
+
+```console
+$ factory contained --target local setup
+
+━━ 1/3 Container engine ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ The podman engine is not reachable. Starting the podman machine...
+
+━━ 2/3 Runtime image ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ Image already present: ghcr.io/akashgit/remote-factory/factory-runtime:latest
+
+━━ 3/3 Result ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+[ ok ] container_engine: podman reachable (5.7.1, rootful)
+[ ok ] runtime_image: ghcr.io/akashgit/remote-factory/factory-runtime:latest present locally
+[ ok ] inference: Vertex, project my-project in us-east5, model , credential from Application Default Credentials at ~/.config/gcloud
+
+All checks passed. Start a run with `factory contained -- ceo `.
+```
+
+Colour is navigation, not decoration, so it obeys the conventions you already have configured:
+`NO_COLOR` turns it off, `FORCE_COLOR` turns it on through a pipe, and `TERM=dumb` is respected.
+
+!!! note "If the image cannot be pulled"
+ The runtime image is published by CI. If the pull fails, `setup` prints two ways forward: point
+ `FACTORY_CONTAINED_IMAGE` at an image you already have, or build one from a checkout of the
+ repository — the Containerfile ships in git, not in the installed package.
+
+Run without `--target`, and at a terminal, `setup` asks which runtime you are preparing first:
+
+```console
+$ factory contained setup
+
+━━ What are you setting up? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ Pass --target local or --target k8s to skip this question.
+
+ 1) local a podman container on this machine
+ 2) k8s a pod on a cluster
+ 3) both
+
+Choice [1]:
+```
+
+Pass `--target local` or `--target k8s` to skip the question. `setup` is idempotent — re-running
+changes nothing that is already correct, and it is the supported way to repair a partial setup.
+
+### Starting a run
+
+The runtime's identifier is printed **first**, before any long-running work. A run whose name you
+cannot see is a run you cannot manage.
+
+```console
+$ factory contained --name my-run -- backlog-list ~/code/my-project
+Warning: no inference credentials are configured, so every agent call in this run will fail.
+ Set one of these before running, and pass it inward:
+ export ANTHROPIC_API_KEY=... then add: --forward ANTHROPIC_API_KEY
+ Run `factory contained verify` to check.
+Starting my-run
+ attach: factory contained attach my-run
+ result: factory contained sync my-run
+ stop: factory contained rm my-run
+
+my-run is running.
+```
+
+That is the whole output. The command returns as soon as the run is going; the run itself continues
+in tmux inside the container. Set `FACTORY_LOG_LEVEL=debug` if you want to see every command the
+runtime issued.
+
+### Watching, detaching, coming back
+
+```console
+$ factory contained ls
+NAME TARGET PROJECT AGE STATE
+my-run local e06e95065606 1s running
+
+$ factory contained attach my-run
+```
+
+`ls` covers both targets, but it only asks the cluster once you have actually used one — otherwise
+a laptop that has only ever run locally would wait on a network timeout and then be told about a
+cluster it never set up. `--target k8s ls` always asks.
+
+That drops you into the live session. `Ctrl-b d` detaches and **leaves the run going** — the tmux
+prefix, because the run lives in tmux precisely so that detaching is safe.
+
+Typing `exit` is safe too. It ends the shell inside the session and returns you to your own
+terminal; the session and everything it printed stay, and attaching again gives you a fresh shell in
+the same window. `ls` shows such a run as `finished` rather than `running`, because the container
+deliberately outlives the run inside it.
+
+### Getting the work back
+
+Nothing is ever merged for you.
+
+```console
+$ factory contained sync my-run
+my-run: the workspace is already on this machine — a bind mount, not a transfer.
+Work is on branch contained/my-run in ~/.factory-contained/my-run/my-project.
+ Review: git -C ~/.factory-contained/my-run/my-project status && git -C ... diff
+ Merge: git -C ~/code/my-project merge contained/my-run
+```
+
+### Tearing down
+
+```console
+$ factory contained rm my-run
+my-run: deleted. Your work is kept — it is not removed with the runtime.
+Work is on branch contained/my-run in ~/.factory-contained/my-run/my-project.
+ Review: git -C ~/.factory-contained/my-run/my-project status && git -C ... diff
+ Merge: git -C ~/code/my-project merge contained/my-run
+
+This run left a git worktree and a branch in your repository. Remove them with:
+ git -C ~/code/my-project worktree remove ~/.factory-contained/my-run/my-project
+ git -C ~/code/my-project branch -D contained/my-run
+```
+
+The container **persists** until you remove it. Nothing is auto-reaped, because a failed run is
+exactly when its state is worth reading. A launch that fails *before* the container exists cleans
+its own workspace up, so only runs that actually started leave anything behind.
+
+### When the workspace is wrong
+
+Five assertions run between provisioning and the first agent call. A failure aborts **before** any
+tokens are spent, names the likely cause, and leaves the runtime up so you can look:
+
+```console
+$ factory contained --name my-run -- ceo ~/code/my-project
+contained: step 'assert:git_usable' failed
+ The workspace is not a usable git repository inside the runtime.
+ Most likely the repository this project belongs to was not mounted — a git worktree's .git is a
+ file pointing at a directory elsewhere.
+ Try: factory contained --mount --
+ The container is still there for inspection:
+ podman exec -it my-run sh
+ factory contained rm my-run
+
+This run left a git worktree and a branch in your repository. Remove them with:
+ git -C ~/code/my-project worktree remove ~/.factory-contained/my-run/my-project
+ git -C ~/code/my-project branch -D contained/my-run
+```
+
+Each hint names the likely cause and what to try. The container is left running so you can look
+inside it before removing it.
+
+### Composing without provisioning
+
+`FACTORY_CONTAINED_DRY_RUN=1` prints the exact commands the real path would run, and provisions
+nothing:
+
+```console
+$ FACTORY_CONTAINED_DRY_RUN=1 factory contained -- study ~/code/my-project
+DRY RUN — my-run (ghcr.io/…/factory-runtime:latest); nothing is provisioned.
+[create] podman run -d --init --name my-run --label factory.contained=true …
+[assert:project_present] podman exec my-run sh -lc '[ -d "…" ] && [ -n "$(ls -A "…")" ]'
+[assert:git_usable] podman exec my-run sh -lc 'git -C "…" status --porcelain >/dev/null 2>&1'
+[assert:factory_state] podman exec my-run test -f …/.factory/config.json
+[assert:writable] podman exec my-run sh -lc 'touch "…/.factory-write-probe" && rm -f …'
+[assert:content_hash] podman exec my-run sh -lc 'sha256sum "…" | grep -q "^ "'
+[run] podman exec my-run sh -lc 'tmux new-session -d -s factory -c … '
+ […the run line is ~45 lines: it embeds the Claude Code state seeding verbatim…]
+```
+
+Which assertions appear depends on what your project actually has: `factory_state` only when the
+project has a `.factory/config.json`, `git_usable` only when it is a git repository.
+
+The `[run]` line really is that long, and it will look like line noise. Dry-run's contract is to
+print *the same commands the real path runs*, so it is not trimmed — a tidier rendering could drift
+from what actually executes, which would defeat the point of previewing.
+
+Secret-looking values are redacted anywhere a command is printed:
+
+```console
+$ FACTORY_CONTAINED_DRY_RUN=1 factory contained --forward GH_TOKEN -- study ~/code/my-project
+… --env GH_TOKEN= …
+```
+
+---
+
+## The local division
+
+`--division` gives the contained agent your **host's** podman engine, so it can build an image, run
+it, read the failure and iterate.
+
+Builds happen on your machine rather than inside the container: the container has no container
+engine of its own, and nesting one inside it is not workable on macOS. That is why this is a
+separate flag rather than something always on.
+
+```console
+$ factory contained --division --name buildcycle -- ceo ~/code/my-project --focus "add a Containerfile"
+
+ ┌─ Container builds enabled (--division) ───────────────────────────────────────
+ │ Started podman-mcp-server so the agent can build and run container images.
+ │ The run reaches it at http://host.containers.internal:8430/mcp
+ │
+ │ It listens on 0.0.0.0:8430 — every network interface, not just this
+ │ machine — and it has no authentication. For as long as the run lasts, anyone
+ │ who can reach that port can build and run containers as you.
+ │
+ │ Avoid --division on untrusted networks.
+ │ It stops when the run is removed:
+ │ factory contained rm buildcycle
+ └───────────────────────────────────────────────────────────────────────────────
+
+Starting buildcycle
+ attach: factory contained attach buildcycle
+ result: factory contained sync buildcycle
+ stop: factory contained rm buildcycle
+
+buildcycle is running.
+```
+
+The endpoint lives as long as the run, not as long as the launching command — the launch returns
+immediately while the run continues for minutes or hours. `factory contained rm` stops it.
+
+It cannot be bound to loopback instead: the container reaches your machine through a gateway
+address rather than through localhost, so a loopback bind would make the build tools unreachable
+rather than make them safer.
+
+`FACTORY_CONTAINED_DRY_RUN=1` shows the same banner, marked as not started, so you can see what
+`--division` would do before doing it.
+
+The agent gets the podman tool surface plus a brief telling it these are capabilities it already
+has. Asked to name its tools, it answers with them rather than proposing to build a CLI wrapper:
+
+```console
+$ factory contained --division -- agent builder \
+ --task "List the container tools available to you. Do not write code." --project ~/code/my-project
+
+I have access to the following Podman/Docker container management tools:
+**Container Operations:**
+- `mcp__podman__container_list` — List running containers
+- `mcp__podman__container_run` — Run a container from an image
+- `mcp__podman__container_logs` — Display container logs
+…
+**Image Operations:**
+- `mcp__podman__image_build` — Build an image from a Dockerfile/Containerfile
+…
+```
+
+Without the flag, nothing is started, no `.mcp.json` is written, and the agent has no container
+tools. The division is genuinely opt-in.
+
+Requires `npx` on `PATH`.
+
+---
+
+## The cluster target
+
+`--target k8s` runs the factory unattended on hardware your laptop is not: real CPU, real memory,
+amd64, and a workspace that survives the pod.
+
+### One-time namespace setup
+
+`bundle` prints plain namespace-scoped YAML and never applies it. `setup` asks which namespace to
+prepare, **checks what is already there**, then walks you through only the objects that are missing
+or wrong — one at a time, each explained — and applies what you accept **with your own
+credentials**:
+
+```console
+$ factory contained --target k8s setup
+
+━━ 1/3 Cluster and namespace ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+
+ Clusters in your kubeconfig:
+
+ 1) 'default/api-my-cluster-example-com:443/you@example.com' (current)
+ https://api.my-cluster.example.com:443
+ 2) 'factory/api-lab-cluster:443/you'
+ https://api.lab-cluster.example.com:443
+
+Which cluster? [1] 2
+
+ This is where the factory's ServiceAccount, Role, RoleBinding and workspace
+ PVC will live. If it does not exist yet, you will be offered the chance to
+ create it.
+
+ Cluster: https://api.my-cluster.example.com:443
+ User: you@example.com
+ Context: default/api-my-cluster-example-com:443/you@example.com
+ Namespace: 'default' (the default below)
+
+Namespace to prepare [default] factory-contained
+ Namespace 'factory-contained' does not exist on this cluster.
+Create namespace 'factory-contained' now? [y]es [n]o (y/N): y
+ $ oc new-project factory-contained
+ Created factory-contained.
+ `oc new-project` also made it your current project.
+
+━━ 2/3 Review and apply ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+ Comparing 5 object(s) against namespace 'factory-contained' on
+ 'https://api.my-cluster.example.com:443':
+
+ [ ok ] serviceaccount/factory already present and matches what the factory needs
+ [diff] role/factory-runtime present, but not what the factory needs
+ [new ] rolebinding/factory-runtime not in this namespace — it would be created
+ [new ] rolebinding/factory-scc not in this namespace — it would be created
+ [new ] pvc/factory-workspace not in this namespace — it would be created
+
+ 1 already correct and will be skipped; 4 need(s) your decision.
+
+── 1 of 4 · role/factory-runtime (present, but not what the factory needs) ───
+ What that identity may do, and the whole of it: create, watch and delete
+ pods in this namespace, and read their logs. That is what a run needs to
+ launch a validation pod and see why it failed. `pods/exec` is absent on
+ purpose — the build sidecar is a boundary only because the agent cannot
+ exec into it.
+
+ What would change in factory-contained:
+ rules:
+- verbs: ["get"]
++ verbs: ["create", "get", "list", "watch", "delete"]
+Apply this? (1 of 4) [y]es [n]o [a]ll remaining [q]uit (Enter or Esc = skip/stop): y
+ role.rbac.authorization.k8s.io/factory-runtime configured
+
+── 2 of 4 · rolebinding/factory-runtime (would be created) ───────────────────
+ Grants the Role above to the ServiceAccount above. Without it the Role
+ exists and applies to nobody, and the run fails on its first cluster call.
+
+apiVersion: rbac.authorization.k8s.io/v1
+kind: RoleBinding
+…
+Apply this? (2 of 4) [y]es [n]o [a]ll remaining [q]uit (Enter or Esc = skip/stop): a
+ Applying this and the 2 after it.
+ rolebinding.rbac.authorization.k8s.io/factory-runtime created
+ rolebinding.rbac.authorization.k8s.io/factory-scc created
+ persistentvolumeclaim/factory-workspace created
+
+The credentials Secret is yours to create — the factory never handles the material:
+ oc create secret generic factory-credentials -n factory-contained \
+ --from-literal=ANTHROPIC_API_KEY=...
+```
+
+Six details that are deliberate.
+
+The **cluster** is asked too, not just the namespace. A kubeconfig usually holds several, and `oc
+config use-context` is the only way most people know to move between them — so picking the wrong
+one meant Ctrl-C, a context switch and a restart. Whatever you choose is applied as `--context` on
+**every** command this invocation issues, including the applies and the diffs; it does not rewrite
+your kubeconfig, because deciding where *this* run goes must not silently change where your next
+unrelated `oc get pods` goes. At the end, if you prepared a cluster that is not your default, you
+are offered the switch and given the exact command either way. `--context NAME` skips the question.
+
+The namespace is **asked**, not assumed — `--namespace` skips the question, and without it the
+current context supplies the default rather than the answer, so a shared `default` never quietly
+acquires a ServiceAccount, a Role and a 10Gi PVC. It is then **checked**, including when you passed
+it explicitly: a typo would otherwise surface as five separate `NotFound` errors from the apply. If
+it is not there you are offered the chance to create it, via `oc new-project` rather than `create
+namespace`, because a regular user is usually denied the second and permitted the first. A
+namespace you are simply *not allowed to read* — routine on OpenShift for a project you own — is
+reported as unconfirmed rather than treated as missing.
+
+The **cluster** is named alongside it. A namespace on its own identifies nothing — `default` exists
+on every cluster you have ever logged into — so the API server URL is the field that actually
+answers "am I about to apply RBAC to the right place?". Every namespace and server is printed
+quoted and highlighted, because "in namespace default" gives a reader no way to tell the name from
+the sentence. Only *names* are read from your kubeconfig: the context, the user's name, the server
+URL, the namespace. Nothing from its `users` section, which is where credential material lives.
+
+The **current state comes first**. Each object is checked against the namespace before anything is
+asked, and the summary covers all of them including the ones already correct — "4 of 5 are already
+there" is the most useful thing to know before deciding whether this is about to do something
+drastic. Comparison is `oc diff`, done server-side, so a field the cluster defaults in does not
+read as a change you are about to make.
+
+Then it **walks only the difference**, one object at a time, each with what it is for and what
+would change:
+
+| State | What you see | Asked about? |
+|---|---|---|
+| already correct | one summary line | no — a prompt whose only sane answer is "yes" teaches people to stop reading prompts |
+| would be created | its manifest | yes |
+| present but differs | the **diff**, not the manifest | yes |
+| could not be compared | a warning, then the manifest | yes — never silently skipped |
+
+Each option is spelled out rather than abbreviated to `[y/n/a/q]`, which is readable only to
+whoever wrote it. `y` applies one, `n` skips it, `a` applies everything remaining, and `q` **or
+Escape** stops. A bare Enter skips, because the default has to be the answer that changes nothing;
+anything unrecognised re-asks and never counts as yes. Where the terminal allows it these are
+single keypresses — no Enter — which is also what makes Escape work at all, since a line-buffered
+prompt can only ever see it as the `^[` characters it inserts.
+
+**Escape backs out of any prompt in the flow**, not just this one — the cluster chooser and the
+namespace prompt included, and the namespace prompt is a typed line, which is why it is read
+character by character rather than with `input()`. **Ctrl-C** exits with a message and status 130
+rather than a stack trace: changing your mind at question three is ordinary, not a crash.
+
+Finally, each object is **applied the moment you accept it**, not batched until the end. You see
+`role.rbac.../factory-runtime configured` before deciding the next one, and stopping halfway is
+reported honestly:
+
+```console
+Apply this? (2 of 4) [y]es [n]o [a]ll remaining [q]uit (Enter or Esc = skip/stop): q
+
+ Stopped. 1 object(s) were applied before you stopped and remain applied; the rest were not.
+```
+
+That sentence is the whole reason for applying per object: batching would have said "nothing was
+applied" to someone who had already said yes once. A skipped or unapplied object stays as it is,
+and `verify` at the end reports it — nothing goes quiet. A single object failing to apply names
+itself and does not stop the walk, since the rest may still be worth doing.
+
+There is no second, blanket "are you sure?": every object was confirmed a moment earlier, and a
+prompt on top of that is the friction that teaches people to hit `y` without reading. `--yes`
+applies everything pending without walking, for automation.
+
+Then `verify` checks every object, every verb the ServiceAccount needs, the Secret's **keys** (never
+its values), and that inference is reachable from a pod *inside* the namespace. Results print **as
+each one lands**, not at the end — several are a cluster round trip and the in-cluster inference
+probe launches a pod and waits on it, so a step that stayed silent until the last check finished
+was reported as a hang:
+
+```console
+$ factory contained --target k8s --namespace factory-contained verify
+[ ok ] cluster_cli: oc, context factory-contained/api-…:443/you@example.com,
+ server https://api.my-cluster.example.com:6443
+[ ok ] namespace: factory-contained exists and is accessible
+[ ok ] bundle:serviceaccount/factory: serviceaccount/factory present
+…
+[ ok ] permissions: serviceaccount/factory has every verb the run needs
+[ ok ] no_pods_exec: serviceaccount/factory cannot exec into pods, which is what makes the build
+ sidecar a boundary
+[ ok ] credentials_secret: secret/factory-credentials carries the Anthropic API key
+[ ok ] inference_from_cluster: a pod in this namespace reached the configured inference backend
+[ ok ] secret_scanner: gitleaks present; workspaces are scanned before they leave this machine
+
+All checks passed. Start a run with `factory contained --target k8s --namespace factory-contained -- ceo `.
+```
+
+The inference check is the slow one: it creates a short-lived pod, with the same image and Secret
+a real run uses, and asks it to make one request — because a host-side check proves nothing about
+the *pod's* egress. It is announced before it starts, and **skipped entirely when the credentials
+Secret is missing**, since the probe pod mounts that Secret and could only spend its 180-second
+timeout rediscovering what the check above already said. That is the state a freshly prepared
+namespace is in, because creating the Secret is deliberately left to you.
+
+Before setup, the same command lists what is missing with the command that restores each — e.g.
+`factory contained --namespace factory-contained bundle | oc apply -f -`.
+
+### Running
+
+```console
+$ factory contained --target k8s --namespace factory-contained -- run ~/code/my-project --loop
+k8srun
+ attach: factory contained --target k8s attach k8srun
+ result: factory contained --target k8s sync k8srun
+ logs: oc logs -f k8srun -n factory-contained -c factory
+```
+
+The workspace is packed into one tarball, streamed into an initContainer that is waiting for it, and
+unpacked onto the PVC before the factory container starts. `oc cp` of a directory is one API round
+trip per file, which is painfully slow on a repository.
+
+### The secret scan
+
+Nothing leaves your machine unscanned. Gitleaks runs over the workspace before the upload:
+
+```console
+$ factory contained --target k8s -- study ~/code/my-project
+gitleaks: 1 finding(s)
+ .env:1 [github-pat] Uncovered a GitHub Personal Access Token, potentially leading to
+ unauthorized repository access and sensitive content exposure.
+
+This workspace is about to be copied onto cluster storage. Anything above goes with it.
+Refusing to upload without confirmation. Re-run with --yes to proceed non-interactively.
+```
+
+It is a **warn-and-confirm gate, not a hard block** — a false positive on a test fixture must not
+stop work, because an override people use reflexively protects nobody. `--yes` proceeds, and says so
+rather than passing silently. If gitleaks is not installed, the upload warns that it is unscanned
+rather than quietly going ahead.
+
+### Getting the work back, and tearing down
+
+```console
+$ factory contained --target k8s sync k8srun
+k8srun: workspace fetched to ~/.factory-contained/k8srun/workspace.tar.gz.
+ Review: tar tzf ~/.factory-contained/k8srun/workspace.tar.gz
+ Unpack: mkdir -p && tar xzf ~/.factory-contained/k8srun/workspace.tar.gz -C
+Nothing is merged automatically.
+
+$ factory contained --target k8s rm k8srun
+k8srun: pod deleted.
+ The workspace is still on PVC factory-workspace in factory-contained. Fetch it with
+ `factory contained --target k8s sync k8srun` before deleting the claim.
+```
+
+The PVC is deliberately left alone: it may hold the only copy of a long run's work.
+
+### The cluster division
+
+`--target k8s --division` is **OpenShift only**, refused at launch by API presence rather than by
+whether `oc` happens to be installed. Builds go through OpenShift `Build` objects, submitted by a
+**sidecar container** that is the only holder of `oc` and the ServiceAccount token — the agent's
+container has neither, and cannot exec into the sidecar because the Role excludes `pods/exec`.
+`verify` asserts that verb's absence; it is the one check that fails when something *succeeds*.
+
+The agent gets one tool for building — `start_build(dockerfile, tag)` — plus namespace-scoped
+cluster tools for launching validation pods and reading logs.
+
+---
+
+## Checks the runtime runs for you
+
+Before the first agent call, the runtime asserts that the workspace it is about to use is the one
+you meant — that it is present and non-empty, that git works in it, that `.factory/` arrived if your
+project has one, that it is writable, and that a file's contents match the copy on your machine.
+
+Each of these can fail silently otherwise: a read-only workspace looks like an agent whose edits
+keep vanishing, and a stale copy produces a plausible result from the wrong code. A failed check
+stops the run before any tokens are spent and leaves the container up so you can look inside it.
+
+---
+
+## Environment
+
+| Variable | Purpose |
+|---|---|
+| `FACTORY_CONTAINED_IMAGE` | Override the runtime image |
+| `FACTORY_CONTAINED_SIDECAR_IMAGE` | Override the k8s build sidecar's `oc` image |
+| `FACTORY_CONTAINED_HOME` | Where workspace copies live (default `~/.factory-contained`) |
+| `FACTORY_CONTAINED_DRY_RUN=1` | Print what would run; provision nothing |
+| `FACTORY_LOG_LEVEL=debug` | Show every command the runtime issues (quiet by default) |
+
+**Nothing crosses into the runtime that you did not ask for.** Variables starting with `FACTORY_`
+go in, along with whatever `--forward` names and the variables your inference backend needs — and
+nothing else. Your `~/.factory/` is mounted read-write, so config, credential profiles, the project
+registry and evolved playbooks work exactly as they do outside. Anything else you want in there —
+`~/.claude/projects/`, `GH_TOKEN`, `FACTORY_MANAGED_DIRS`, `FACTORY_VAULT_PATH` — you pass explicitly
+with `--mount` or `--forward`.
+
+---
+
+## Troubleshooting
+
+**"podman is installed but its engine is not reachable"** — on macOS the machine stops quietly.
+`podman machine start`, or `factory contained setup`, which does it for you.
+
+**"The workspace is read-only inside the runtime"** — the container runs as a user that does not own
+your files. Check that the project is owned by you, and that `factory contained verify` is green.
+
+**"could not read ... from inside a container"** — usually the podman machine does not share that
+path. On macOS it shares your home directory; a project elsewhere is not mounted at all rather than
+mounted empty. Move it under your home directory, or add the path with `podman machine set --volume`
+and restart the machine. The launch warns about this before it happens.
+
+**"is not a path the podman machine shares"** — same cause, caught at launch. The message lists the
+paths that *are* shared.
+
+**A wall of output instead of three lines** — that is `FACTORY_LOG_LEVEL=debug`. Unset it.
+
+**"container 'x' already exists"** — a previous run left it. Attach to it, `rm` it, or pass `--name`.
+A container that is no longer running is reaped automatically and the run retried once.
+
+**"is already running a session — this is the same run, not a new one"** (k8s) — the pod is mid-run.
+Attach, or `rm` and start again.
+
+**"the division port 8430 is already held by the run 'x'"** — one port, one server. Finish or remove
+that run first, or run this one without `--division`.
+
+**Vertex 429s on every call** — pass an explicit `--model`. `MAX_THINKING_TOKENS=0` is pinned for you.
+
+---
+
+## Implementation
+
+| Concern | Module |
+|---|---|
+| All podman CLI knowledge | `factory/podman.py` |
+| All cluster CLI knowledge | `factory/contained/k8s.py` |
+| Workspace copy | `factory/contained/workspace.py` |
+| Provenance assertions | `factory/contained/provenance.py` |
+| Container identity probe | `factory/contained/identity.py` |
+| Credential shape | `factory/contained/credentials.py` |
+| Local division | `factory/contained/division.py` |
+| Pre-answering Claude Code's first-run prompts | `factory/contained/claude_state.py` |
+| Cluster division | `factory/contained/k8s_division.py` |
+| Prereq bundle | `factory/contained/bundle.py` |
+| Object-by-object review | `factory/contained/k8s_review.py` |
+| Secret scan | `factory/contained/secrets.py` |
+| Terminal colour and wizard steps | `factory/contained/style.py` |
+| CLI front door | `factory/cli/contained.py` |
+| Reading the command line | `factory/cli/contained_args.py` |
+| One local container | `factory/cli/contained_local.py` |
+| One cluster pod | `factory/cli/contained_k8s.py` |
+
+The CLI modules **compose** commands and do not execute them, which is what makes
+`FACTORY_CONTAINED_DRY_RUN=1` print the same argv the real path runs rather than a separate
+rendering that drifts.
+
+The runtime image is `containers/factory/Containerfile` — UBI9 plus the factory wheel, the agent
+CLIs, and tmux — published multi-arch (amd64 for cluster nodes, arm64 for a Mac laptop) by
+`.github/workflows/runtime-image.yml`. `factory contained setup` pulls it; it does not build.
+
+It publishes on three events. A push to `main` moves `:latest`; a **published release** builds that
+release's commit and publishes `:`, moving `:latest` too unless the release is a
+prerelease; `workflow_dispatch` publishes whatever tag you name. Every event also tags the short
+SHA. The release trigger is the one that has to be automatic — `setup` pulls a published image and
+does not build, so a release whose image was never built leaves a new user's first command failing
+on a manifest that does not exist. Nightlies are prereleases and therefore never move `:latest`.
diff --git a/docs/contributing-benchmarks.md b/docs/contributing-benchmarks.md
new file mode 100644
index 000000000..243c4abcc
--- /dev/null
+++ b/docs/contributing-benchmarks.md
@@ -0,0 +1,375 @@
+# Contributing Benchmarks
+
+This guide walks you through adding a new benchmark to re:factory. By the end, you will have a workflow definition that the factory can execute, a Harbor agent that runs it in an isolated container, and a CI matrix entry that runs it on every push.
+
+If you are looking for the technical spec (DSL primitives, node types, edge conditions), see [`factory/workflow/contributed/README.md`](https://github.com/akashgit/remote-factory/blob/main/factory/workflow/contributed/README.md). This guide focuses on the practical, end to end process.
+
+
+## What a Benchmark Contribution Consists Of
+
+A benchmark contribution has three pieces:
+
+1. **A workflow definition** that lives under `factory/workflow/contributed//`. This is a directed graph of typed nodes (agents, shell commands, gates) wired together with edges. The factory's workflow engine walks the graph at runtime.
+
+2. **A Harbor agent** that runs the workflow inside an isolated container. Harbor provisions the environment, installs dependencies, seeds initial state, and then hands off to `factory workflow run `.
+
+3. **A CI matrix entry** so the benchmark runs automatically on pushes to `main` and on demand via `workflow_dispatch`.
+
+
+## Linter Validation
+
+Before your benchmark can be merged, it must pass the contributed workflow linter. Run it locally:
+
+```bash
+factory workflow lint-contributed
+```
+
+The linter enforces 18 conditions organized into five categories. Understanding these upfront will save you from back and forth during review.
+
+
+### File Structure (4 checks)
+
+Every workflow directory must contain exactly these four files:
+
+| File | Purpose |
+|------|---------|
+| `__init__.py` | Exports `meta` and `workflow` so existing import paths work |
+| `workflow.py` | Contains the `meta` dict and `workflow()` function |
+| `README.md` | Description, graph diagram, CLI usage |
+| `test_workflow.py` | Regression tests covering graph structure, trigger, registration, and meta |
+
+If any of these files is missing, the linter reports a `missing-` error and stops checking that directory.
+
+
+### Module Load (1 check)
+
+The linter attempts to `import` your `workflow.py` dynamically. If the import raises any exception (syntax error, missing dependency, circular import), you get a `load-error` and no further checks run.
+
+Keep your imports minimal. The workflow definition should only need types from `factory.workflow.primitives` and `factory.models`.
+
+
+### Meta Dict (3 checks)
+
+Your `workflow.py` must define a module level dictionary called `meta`. The linter checks:
+
+1. `meta` exists and is a `dict`
+2. `meta` contains a `"name"` key
+3. `meta` contains a `"description"` key
+
+Here is what a valid meta dict looks like, taken from legacybench:
+
+```python
+meta = {
+ "name": "legacybench",
+ "description": (
+ "Legacy-Bench benchmark mode — 4-node pipeline for fixing bugs in "
+ "legacy code (COBOL, Fortran, C, Java 7, Assembly). "
+ "study → builder → gate_verify → auto_merge with RELOOP on failure."
+ ),
+}
+```
+
+
+### Workflow Function (2 checks)
+
+Your `workflow.py` must define a callable named `workflow` that:
+
+1. Is callable (the linter checks `callable(workflow)`)
+2. Executes without raising an exception when called with no arguments
+
+The function must return a `Workflow` object built from the DSL primitives. The linter calls `workflow()` and then runs graph validation on the result.
+
+
+### Graph Validation (8 checks)
+
+Once `workflow()` returns a `Workflow`, the linter delegates to `validate_graph()` which performs these structural checks using NetworkX:
+
+1. **Start node exists:** `start_node` must be a key in the `nodes` dict.
+
+2. **Edge sources exist:** Every edge's `source` field must reference an existing node.
+
+3. **Edge targets exist:** Every edge's `target` field must reference an existing node.
+
+4. **All nodes reachable:** Every node must be reachable from `start_node` by following edges. Orphaned nodes that cannot be reached are flagged.
+
+5. **Cycles require a gate with a condition:** Cycles are allowed, but every cycle must pass through at least one `GateNode` that has an edge with a non null `condition` (such as `VerdictType.RELOOP`). This prevents infinite loops by ensuring a gate controls reentry.
+
+6. **Reads have predecessor writers:** If a node declares `reads={"some/path"}`, at least one of its ancestors in the graph must declare that same path in its `writes` set. This enforces data flow correctness.
+
+7. **Fork targets exist:** Every `ForkNode`'s `targets` list must reference existing node IDs.
+
+8. **Join sources exist:** Every `JoinNode`'s `sources` list must reference existing node IDs.
+
+
+## How Harbor Execution Works
+
+Benchmarks run inside isolated containers managed by the [Harbor framework](https://harborframework.com). Here is the lifecycle:
+
+1. Harbor provisions a container from the benchmark's dataset (for example, `factory-ai/legacy-bench` for legacybench, or `swe-bench/swe-bench-verified` for swebench).
+
+2. Your custom agent class, which extends `FactoryCeo` from `benchmarks/factory_harbor_agent.py`, handles the installation and execution phases.
+
+3. During **install**, the agent installs system packages, Claude Code, and the factory CLI (via `uv tool install`). The `FACTORY_GIT_REF` environment variable, set by CI, ensures the container installs the exact commit being tested.
+
+4. During **run**, the agent initializes git, seeds `.factory/` state (a minimal `config.json` and `eval_profile.json`), writes the task instruction to `/tmp/task-instruction.md`, and then invokes either `factory ceo . --headless` or `factory workflow run `.
+
+5. After execution, Harbor's verifier evaluates the solution. Results are written as JSON to the `benchmarks/results/` directory.
+
+Most benchmarks follow the same pattern: subclass `FactoryCeo`, override `name()` to return a unique identifier, and override `_get_factory_command()` to invoke your specific workflow. Here is the legacybench agent as a concrete example:
+
+```python
+class LegacybenchFactoryCeo(FactoryCeo):
+ """Runs the deterministic legacybench workflow."""
+
+ @staticmethod
+ @override
+ def name() -> str:
+ return "legacybench-factory-ceo"
+
+ @override
+ def _get_factory_command(self) -> str:
+ return (
+ 'export PATH="$HOME/.local/bin:$HOME/.cargo/bin:$PATH"; '
+ 'factory workflow run legacybench . '
+ '2>&1 /
+```
+
+
+### Step 2: Write `workflow.py`
+
+Define a `meta` dict and a `workflow()` function that returns a `Workflow`. Use the DSL primitives: `AgentNode`, `FnNode`, `GateNode`, `ForkNode`, `JoinNode`, `Edge`, and `VerdictType`.
+
+The workflow graph defines the execution pipeline for your benchmark. A typical benchmark pipeline looks like:
+
+- A **study** node (`FnNode`) that scans the workspace and reads the task instruction
+- A **builder** node (`AgentNode`) that implements the solution
+- A **gate** node (`GateNode`) that verifies the solution (compilation, tests)
+- An **auto_merge** node (`FnNode`) that merges changes to the base branch
+
+Gates can loop back to earlier nodes using `VerdictType.RELOOP` edges, giving the builder additional attempts when verification fails.
+
+See `factory/workflow/contributed/legacybench/workflow.py` for a complete, working example.
+
+
+### Step 3: Create `__init__.py`
+
+This file exports `meta` and `workflow` from your workflow module:
+
+```python
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
+```
+
+
+### Step 4: Write `README.md`
+
+Include a brief description of what the benchmark tests, an ASCII graph diagram showing the node pipeline, and a CLI usage example:
+
+```bash
+factory workflow run --project /path/to/repo
+```
+
+See `factory/workflow/contributed/legacybench/README.md` for the expected format.
+
+
+### Step 5: Write `test_workflow.py`
+
+Your tests should cover:
+
+- Workflow name and node count
+- Graph validation passes (`wf.validate_graph()` returns an empty list)
+- Node types match expectations (`AgentNode`, `FnNode`, `GateNode`)
+- Edge structure (PROCEED, RELOOP conditions)
+- Trigger function accepts the correct mode and rejects others
+- Registration in `register_all()`
+- Meta dict has `name` and `description`
+
+Organize tests into classes by concern: `TestWorkflow`, `TestTerminal`, `TestTrigger`, `TestRegistration`, `TestMeta`. See `factory/workflow/contributed/legacybench/test_workflow.py` for the full pattern.
+
+
+### Step 6: Register the Workflow
+
+Add your workflow to `factory/workflow/definitions.py` in the `register_all()` function:
+
+```python
+from factory.workflow.contributed. import workflow as _workflow
+
+# Inside register_all():
+"": _workflow(),
+```
+
+
+### Step 7: Add a Harbor Agent Subclass
+
+In `benchmarks/factory_harbor_agent.py`, add a new class that extends `FactoryCeo`:
+
+```python
+class FactoryCeo(FactoryCeo):
+ """Runs the deterministic workflow."""
+
+ @staticmethod
+ @override
+ def name() -> str:
+ return "-factory-ceo"
+
+ @override
+ def _get_factory_command(self) -> str:
+ return (
+ 'export PATH="$HOME/.local/bin:$HOME/.cargo/bin:$PATH"; '
+ 'factory workflow run . '
+ '2>&1 )
+ BENCH_DATASET=""
+ BENCH_AGENT_CLASS="factory_harbor_agent:FactoryCeo"
+ BENCH_AGENT_IMPORT_FLAG="--agent-import-path"
+ BENCH_FILTER_STYLE="glob"
+ ;;
+```
+
+Also add your benchmark name to the `benchmark_all_names()` function and to the error message in the default `*)` case.
+
+
+### Step 9: Add a CI Matrix Entry
+
+In `.github/workflows/benchmark.yml`, add two matrix entries (one for the factory solver, one for the Claude Code solver) inside the `strategy.matrix.include` list:
+
+```yaml
+- benchmark:
+ solver: factory
+ default_instance: ''
+ enabled: ${{ github.event_name == 'schedule' || ... }}
+- benchmark:
+ solver: claude-code
+ default_instance: ''
+ enabled: ${{ github.event_name == 'schedule' || ... }}
+```
+
+Also add your benchmark name to the `workflow_dispatch` `benchmark` input choices list.
+
+Copy the `enabled` expression from an existing entry (such as legacybench) and replace the benchmark name.
+
+
+### Step 10: Run the Linter
+
+```bash
+factory workflow lint-contributed
+```
+
+Fix any issues the linter reports. All 18 conditions must pass.
+
+
+### Step 11: Run the Test Suite
+
+```bash
+pytest -v
+```
+
+Make sure your new tests pass and you have not broken any existing tests.
+
+
+## Expected Result Format
+
+Each benchmark run produces a JSON result file in `benchmarks/results/`. The schema:
+
+```json
+{
+ "benchmark": "legacybench",
+ "instance_id": "1907c2-c-debug-legacy-buddy-fix",
+ "solver": "factory",
+ "passed": 1,
+ "total": 1,
+ "score": 1.0,
+ "resolved": true,
+ "duration_seconds": 342,
+ "status": "completed",
+ "timestamp": "2026-07-17T12:00:00Z",
+ "details": {
+ "trace_id": "abc123",
+ "cost_usd": 4.50
+ }
+}
+```
+
+The `resolved` field is the authoritative pass/fail signal. Harbor's verifier sets it. The `score` field is a float between 0 and 1, where 1.0 means the benchmark instance was fully solved.
+
+
+## Submission Checklist
+
+Before opening your PR, verify all of the following:
+
+**Workflow directory** (`factory/workflow/contributed//`)
+
+- [ ] `__init__.py` exists and exports `meta` and `workflow`
+- [ ] `workflow.py` defines a `meta` dict with `name` and `description`
+- [ ] `workflow.py` defines a callable `workflow()` that returns a `Workflow`
+- [ ] `workflow()` executes without raising
+- [ ] `validate_graph()` returns an empty list
+- [ ] `README.md` exists with description, graph diagram, and CLI usage
+- [ ] `test_workflow.py` covers graph structure, trigger, registration, and meta
+
+**Graph structure**
+
+- [ ] `start_node` is a valid key in `nodes`
+- [ ] All edge sources and targets reference existing nodes
+- [ ] All nodes are reachable from `start_node`
+- [ ] Any cycles pass through a `GateNode` with a condition edge
+- [ ] Reads/writes data flow is consistent (readers have ancestor writers)
+- [ ] Fork targets and join sources reference existing nodes
+
+**Integration**
+
+- [ ] Workflow registered in `factory/workflow/definitions.py` `register_all()`
+- [ ] Harbor agent subclass added to `benchmarks/factory_harbor_agent.py`
+- [ ] Config entry added to `benchmarks/config.sh`
+- [ ] CI matrix entries added to `.github/workflows/benchmark.yml`
+- [ ] `factory workflow lint-contributed` passes with no issues
+- [ ] `pytest -v` passes with no failures
+
+
+## Existing Benchmarks
+
+These benchmarks are already in the repository and serve as living examples:
+
+| Benchmark | What it tests | Workflow location |
+|-----------|---------------|-------------------|
+| legacybench | Bug fixes in legacy code (COBOL, Fortran, C, Java 7, Assembly) | `factory/workflow/contributed/legacybench/` |
+| swebench | Real world GitHub issues from popular Python repositories | `factory/workflow/contributed/swebench/` |
+| featurebench | Feature implementation tasks with structured test suites | `factory/workflow/contributed/featurebench/` |
+| terminalbench | Terminal and shell scripting challenges | `factory/workflow/contributed/terminalbench/` |
+| programbench | Program analysis and transformation tasks | `factory/workflow/contributed/programbench/` |
+
+When in doubt, read the source. The legacybench workflow is the simplest (4 nodes, 4 edges) and makes the best starting point for understanding the patterns.
+
+
+## Further Reading
+
+- [`factory/workflow/contributed/README.md`](https://github.com/akashgit/remote-factory/blob/main/factory/workflow/contributed/README.md) for the technical spec (DSL primitives, directory layout, linting details)
+- [`factory/workflow/README.md`](https://github.com/akashgit/remote-factory/blob/main/factory/workflow/README.md) for full workflow engine documentation
+- [`benchmarks/factory_harbor_agent.py`](https://github.com/akashgit/remote-factory/blob/main/benchmarks/factory_harbor_agent.py) for the base Harbor agent implementation
+- [`benchmarks/config.sh`](https://github.com/akashgit/remote-factory/blob/main/benchmarks/config.sh) for benchmark configuration examples
+- [`.github/workflows/benchmark.yml`](https://github.com/akashgit/remote-factory/blob/main/.github/workflows/benchmark.yml) for CI integration patterns
diff --git a/docs/contributing.md b/docs/contributing.md
index 6886d41b2..e3551024d 100644
--- a/docs/contributing.md
+++ b/docs/contributing.md
@@ -39,6 +39,11 @@ uv run mypy factory/ # Type check
- **Structured logging** via `structlog` — use `log = structlog.get_logger()` at module level
- **No comments** unless the "why" is non-obvious
+## README
+
+`README.md` is a symlink to `docs/index.md` — edit `docs/index.md` directly.
+Do not break this symlink or create a separate `README.md` file.
+
## PR Workflow
1. Create a feature branch from `main`
@@ -52,6 +57,8 @@ uv run mypy factory/ # Type check
We welcome contributions at all levels. Here are some ideas to get started.
+**Interested in contributing a benchmark?** See the dedicated [Contributing Benchmarks](contributing-benchmarks.md) guide for the full walkthrough: workflow definition, Harbor agent setup, CI integration, and the linter validation checklist.
+
**Use re:factory to build your contribution.** Write your idea as a `factory.md` goal, point re:factory at the repo, and let it do the implementation work. Every idea below can be expressed as a one-line goal — re:factory will hypothesize, build, test, and iterate:
```bash
@@ -84,7 +91,7 @@ factory ceo ~/remote-factory --focus "shell completions for re:factory CLI"
| Idea | Description |
|------|-------------|
-| **Multi-backend support** | Extend re:factory to work with other AI code agents — [Codex](https://openai.com/index/codex/), [Jules](https://jules.google.com/), [Amp](https://ampcode.com/), or any agent that accepts a prompt and produces code changes |
+| **Multi-backend support** | Extend re:factory to work with other AI code agents — [Jules](https://jules.google.com/), [Amp](https://ampcode.com/), or any agent that accepts a prompt and produces code changes |
| **Distributed execution** | Run specialist agents across multiple machines with a message queue (Redis, NATS) instead of local subprocesses |
| **Learning-to-search** | Use experiment history to train a lightweight model that predicts which hypothesis categories will succeed for a given project state |
| **Multi-project orchestration** | A meta-CEO that manages a portfolio of projects, allocating re:factory cycles based on expected improvement |
@@ -96,15 +103,16 @@ If you're interested in any of these, open an issue to discuss the approach befo
```
factory/
-├── cli.py # CLI entry point (argparse subcommands)
+├── cli/ # CLI package (argparse subcommands)
├── models.py # Pydantic v2 domain models
├── state.py # Project state detection
├── store.py # .factory/ filesystem store
├── events.py # Event system (JSONL log)
├── strategy.py # FEEC priority heuristic
+├── adversarial.py # GAN-style adversarial eval loop state machine
├── study.py # Code analysis + observations
├── insights.py # Cross-project patterns
-├── checkpoint.py # CEO checkpoint save/load (legacy, debugging)
+├── checkpoint.py # CEO checkpoint save/load (legacy, debugging)
├── analysis.py # Experiment comparison
├── agents/
│ ├── runner.py # Agent subprocess spawner
@@ -118,15 +126,17 @@ factory/
├── eval/ # Three-tier eval system
└── notify/ # Telegram notifications
-tests/ # 1350+ tests mirroring factory/ structure
+tests/ # 3000+ tests mirroring factory/ structure
```
## Adding a New CLI Command
-1. Add `cmd_` function in `factory/cli.py`
-2. Register it in the `COMMANDS` handler dict
-3. Add argument parsing in the `build_parser` function
-4. Write tests in `tests/test_cli.py`
+1. Add `cmd_` function in the appropriate `factory/cli/.py` file
+2. Export it from `factory/cli/__init__.py`
+3. Register it in the `handlers` dict in `factory/cli/_main.py`
+4. Add argument parsing in the `build_parser` function in `factory/cli/_main.py`
+5. Add the command name to `_COMMAND_GROUPS` for grouped help display
+6. Write tests in `tests/test_cli.py`
## Adding a New Agent Role
diff --git a/docs/eval.md b/docs/eval.md
index 630c34b81..5fc61ae31 100644
--- a/docs/eval.md
+++ b/docs/eval.md
@@ -147,6 +147,37 @@ The research target metric must satisfy `metric_after >= previous_best` for ever
If a change improves the metric on some instances but regresses on others, the aggregate must still be at or above the previous best. The CEO cannot override a monotonic improvement violation.
+## Adversarial Eval Loops
+
+For projects that pit two components against each other (e.g., a generator creating test cases vs. a discriminator catching them), re:factory supports GAN-style adversarial eval loops as a first-class pattern.
+
+Unlike the standard three-tier eval, adversarial loops use **two separate eval commands** — one per component — and alternate between them. Each side has its own threshold, and the loop switches focus when one side consistently exceeds its target.
+
+### How it works
+
+1. The **generator** starts as the active phase
+2. Each round runs the active component's eval command and records the score
+3. When a component scores at or above its threshold for N consecutive rounds (hysteresis), the loop switches to the other component
+4. Per-role streak counters freeze when inactive — the generator's counter doesn't change during discriminator rounds
+5. **Convergence** is declared when both components independently sustain above-threshold performance for `convergence_window` consecutive rounds
+
+### Relationship to standard eval
+
+Adversarial eval loops run alongside (not instead of) the standard three-tier eval system. The standard hygiene/growth/project eval still gates keep/revert decisions. The adversarial loop provides an additional signal about which component to focus improvement efforts on.
+
+### Configuration
+
+Configure in `factory.md` with dot-notation. See [Configuration — Adversarial](configuration.md#adversarial) for the full reference.
+
+### CLI
+
+```bash
+factory adversarial-state /path/to/project # View phase, streaks, history
+factory adversarial-state /path/to/project --reset # Reset to defaults
+```
+
+Implementation: `factory/adversarial.py`. State persisted at `.factory/adversarial_state.json`.
+
## Running Evals
```bash
diff --git a/docs/expected-behaviors/archivist/soul.md b/docs/expected-behaviors/archivist/soul.md
new file mode 100644
index 000000000..e38489256
--- /dev/null
+++ b/docs/expected-behaviors/archivist/soul.md
@@ -0,0 +1,17 @@
+# Archivist — Soul
+
+## Core Identity
+The Archivist is the factory's institutional memory keeper. It distills experience into lasting knowledge — serving two audiences simultaneously: humans who need narrative and machines who need structure.
+
+## Values & Approach
+- Distill each experiment to its single most useful insight
+- Propose behavioral changes only when confidence is high and evidence is clear
+- Maintain compact, deduplicated memory — patterns backed by repeated evidence, not one-off observations
+- Never block the factory's progress with record-keeping
+
+## Voice & Style
+- Concrete and evidence-backed — scores, deltas, experiment IDs, not impressions
+- State rules, evidence, and confidence without hedging
+
+## Boundaries
+The Archivist influences future behavior through structured proposals and memory entries — suggestions for the system to evaluate, never directives imposed on it. It records and recommends; it never implements.
diff --git a/docs/expected-behaviors/archivist.md b/docs/expected-behaviors/archivist/verification-points.md
similarity index 88%
rename from docs/expected-behaviors/archivist.md
rename to docs/expected-behaviors/archivist/verification-points.md
index 4febfda60..935f606e3 100644
--- a/docs/expected-behaviors/archivist.md
+++ b/docs/expected-behaviors/archivist/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Archivist
-
-## Identity
-The Archivist is the institutional memory keeper. It records experiment outcomes as dual-format notes (markdown + JSON sidecar), maintains cross-cycle CEO memory, proposes playbook improvements, and regenerates the performance report. It writes ONLY to `.factory/archive/` and never modifies source code.
+# Archivist — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -28,8 +25,19 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] All `Write` tool calls target paths under `.factory/archive/` — no writes elsewhere
- [ ] Does NOT modify source code, `eval/score.py`, `.factory/strategy/`, or `.factory/reviews/`
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| `.factory/archive/experiments/{NNN}.json` missing after archival | Missing JSON sidecar |
+| `json.loads()` throws on JSON sidecar | Invalid JSON |
+| `memory.json` array length > 50 | memory.json overflow — no eviction |
+| Near-identical `text` fields in `memory.json` | Duplicate memory entries |
+| No `factory report-update` `Bash` call in trace | Skipped report regeneration |
+| `Write` calls target paths outside `.factory/archive/` | Write boundary violation |
+| No `&` in spawn command during mid-cycle archival | Blocking when should be async |
+
## Inputs & Outputs
-- **Reads:** experiment verdicts, `.factory/reviews/builder-latest.md`, `.factory/reviews/qa-latest.md`, `.factory/archive/memory.json`, `.factory/strategy/current.md`
+- **Reads:** experiment verdicts, `.factory/reviews/builder-latest.md`, `.factory/reviews/health-check.md`, `.factory/reviews/code-review.md`, `.factory/reviews/adversarial-qa.md`, `.factory/archive/memory.json`, `.factory/strategy/current.md`
- **Writes:** `.factory/archive/experiments/{project}-{NNN}.md`, `.factory/archive/experiments/{NNN}.json`, `.factory/archive/memory.json`, `.factory/archive/patterns/patterns.md`, `.factory/archive/sources/*.md`, performance report (via `factory report-update`)
- **Spawned by:** CEO (`factory agent archivist --model haiku`)
- **Hands off to:** nobody — Archivist is always the last agent in any workflow phase
@@ -44,17 +52,6 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- Fall back to user's personal Obsidian vault when `$FACTORY_VAULT_PATH` is unset — use `.factory/` instead
- Produce invalid JSON (trailing commas, unescaped quotes)
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| `.factory/archive/experiments/{NNN}.json` missing after archival | Missing JSON sidecar |
-| `json.loads()` throws on JSON sidecar | Invalid JSON |
-| `memory.json` array length > 50 | memory.json overflow — no eviction |
-| Near-identical `text` fields in `memory.json` | Duplicate memory entries |
-| No `factory report-update` `Bash` call in trace | Skipped report regeneration |
-| `Write` calls target paths outside `.factory/archive/` | Write boundary violation |
-| No `&` in spawn command during mid-cycle archival | Blocking when should be async |
-
## Playbook Rules
- **DO [arch-00001]:** Record at all checkpoints — archival compliance is non-negotiable
- **DON'T [arch-00002]:** Don't fall back to user's personal Obsidian vault when `$FACTORY_VAULT_PATH` is unset — use `.factory/` instead
diff --git a/docs/expected-behaviors/builder/soul.md b/docs/expected-behaviors/builder/soul.md
new file mode 100644
index 000000000..a83bd4092
--- /dev/null
+++ b/docs/expected-behaviors/builder/soul.md
@@ -0,0 +1,17 @@
+# Builder — Soul
+
+## Core Identity
+The Builder is the factory's implementer and craftsman. It ships exactly what was asked for — nothing more, nothing less — and leaves the codebase better than it found it.
+
+## Values & Approach
+- Scope discipline above all: one issue, one PR, one focused change — no extras, no "while I'm here" improvements
+- Validate before acting: check that every file is in scope before touching it
+- Communicate rather than guess: when blocked, explain what failed and exit cleanly
+- Verify before shipping: tests pass, lint clean, code meets the change's intent
+
+## Voice & Style
+- Action-oriented and terse — read, build, ship
+- Commit messages and PR descriptions are structured, referencing the original issue
+
+## Boundaries
+The Builder implements; it does not decide. It never chooses what to build or judges whether to keep its own work. It solves problems from the problem description, never from expected outputs. When it cannot proceed, it stops and says why rather than improvising outside its scope.
diff --git a/docs/expected-behaviors/builder.md b/docs/expected-behaviors/builder/verification-points.md
similarity index 91%
rename from docs/expected-behaviors/builder.md
rename to docs/expected-behaviors/builder/verification-points.md
index 2cdbe3e39..06924044c 100644
--- a/docs/expected-behaviors/builder.md
+++ b/docs/expected-behaviors/builder/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Builder
-
-## Identity
-The Builder implements a single GitHub issue as one PR. It receives an issue number, a target branch, and a project path, then codes exactly what the issue describes within a pre-configured git worktree. It does not choose what to build, verify quality, or decide keep/revert.
+# Builder — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -24,6 +21,16 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] Pre-commit: no `fixed_surfaces` files appear in `git diff --name-only` (when declared)
- [ ] File-size gate: no written file exceeds 500 lines (unless generated/fixture with commit-message justification)
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| `git diff --name-only` shows files not in issue/factory.md scope | Scope creep |
+| `Read` tool calls targeting `fixed_surfaces` paths | Ground truth leakage |
+| PR description lists deferred items without valid reasons | Incomplete implementation / invalid deferral |
+| `Write` tool content exceeds 500 lines, no justification in commit | File-size gate violation |
+| `git checkout -b` or `git branch` commands in trace | Worktree branch confusion |
+| No `gh issue comment` when exiting on a blocker | Blocked but no comment |
+
## Inputs & Outputs
- **Reads:** GitHub issue, `CLAUDE.md`, `factory.md`, `.factory/strategy/current.md`, source files in scope
- **Writes:** source code changes, git commits, one GitHub PR, `.factory/reviews/builder-latest.md` (captured stdout)
@@ -38,16 +45,6 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- Execute `rm -rf`, `git push --force`, `git reset --hard`, `DROP TABLE/DATABASE`, `chmod 777`
- Defer work items without valid reason (valid: needs credentials, needs human decision, needs external provisioning)
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| `git diff --name-only` shows files not in issue/factory.md scope | Scope creep |
-| `Read` tool calls targeting `fixed_surfaces` paths | Ground truth leakage |
-| PR description lists deferred items without valid reasons | Incomplete implementation / invalid deferral |
-| `Write` tool content exceeds 500 lines, no justification in commit | File-size gate violation |
-| `git checkout -b` or `git branch` commands in trace | Worktree branch confusion |
-| No `gh issue comment` when exiting on a blocker | Blocked but no comment |
-
## Playbook Rules
- **DO [bldr-00001]:** When writing browser automation, add a comment flagging selectors as UNVERIFIED
- **DON'T [bldr-00002]:** Don't use `page.wait_for_load_state("networkidle")` after iframe operations — use frame-level waits or `domcontentloaded`
diff --git a/docs/expected-behaviors/ceo/soul.md b/docs/expected-behaviors/ceo/soul.md
new file mode 100644
index 000000000..f8b0e82ff
--- /dev/null
+++ b/docs/expected-behaviors/ceo/soul.md
@@ -0,0 +1,18 @@
+# CEO Agent — Soul
+
+## Core Identity
+The CEO is the factory's executive orchestrator. It thinks in experiments, hypotheses, and verdicts. It has a team of specialists and directs them — it never does their work itself.
+
+## Values & Approach
+- Lead through delegation, not participation: when an agent fails, retry with adjusted parameters or abort — never take over
+- Every agent output passes through a review gate — check for gaps, verify claims against data, catch scope drift
+- Multi-signal judgment: never decide on a single metric — weigh tests, lint, scores, readability, and compliance together
+- Completion is non-negotiable: exit only when all planned work has verdicts and archival is complete
+
+## Voice & Style
+- Executive clarity: direct, evidence-backed, transparent about tradeoffs
+- Verdicts are decisive with specific rationale
+- Instructions to agents are precise enough to act on without ambiguity
+
+## Boundaries
+The CEO's tools are delegation and judgment — never direct execution. It does not write code, run tests, perform research, or edit configuration. The bright line is inviolable.
diff --git a/docs/expected-behaviors/ceo.md b/docs/expected-behaviors/ceo/verification-points.md
similarity index 91%
rename from docs/expected-behaviors/ceo.md
rename to docs/expected-behaviors/ceo/verification-points.md
index 3a5edfc3a..e65a3b716 100644
--- a/docs/expected-behaviors/ceo.md
+++ b/docs/expected-behaviors/ceo/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: CEO Agent
-
-## Identity
-The CEO is the autonomous executive orchestrator. It delegates ALL technical work to specialist agents, reviews their outputs at every gate, owns the experiment lifecycle (`factory begin` / `factory finalize`), and makes keep/revert verdicts. It never writes code, runs evals, or does research directly.
+# CEO Agent — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in.
@@ -25,6 +22,18 @@ These MUST hold regardless of which workflow the agent is in.
- [ ] Reads PR diff (`gh pr diff`) after Builder completes, before spawning QA
- [ ] QA Agent runs for every experiment that produces a PR
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| `Edit`/`Write` on `*.py`/`*.ts`/`*.go` outside `.factory/reviews/` | Sacred Rule 8 violation — CEO writing code |
+| Bash running `pytest`/`ruff`/`mypy` | Sacred Rule 8 violation — CEO running evals directly |
+| `factory agent builder` before `ceo-verdict-strategy.md` exists | Strategy hard gate bypassed |
+| No `agent.started agent=qa` between builder completion and finalize | QA skipped |
+| `results.tsv` header-only after build phases completed | Build mode finalize gap (#783) |
+| Fewer `factory finalize` calls than approved hypotheses | Self-judged early exit |
+| `run_in_background: true` with `factory agent` | Duplicate/lost agent output |
+| `ceo-verdict-strategy.md` has "PLAN APPROVED" but `current.md` has no `**Growth dimension:**` tags | Hygiene-only strategy approved |
+
## Inputs & Outputs
- **Reads:** `.factory/config.json`, `.factory/strategy/current.md`, `.factory/reviews/-latest.md`, PR diffs, `results.tsv`
- **Writes:** `.factory/reviews/ceo-verdict-.md`, `.factory/strategy/research-combined.md` (Build/Design only)
@@ -42,18 +51,6 @@ These MUST hold regardless of which workflow the agent is in.
- Skipping the eval step (Sacred Rule 5)
- Taking over an agent's job after failure (must re-invoke or abort)
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| `Edit`/`Write` on `*.py`/`*.ts`/`*.go` outside `.factory/reviews/` | Sacred Rule 8 violation — CEO writing code |
-| Bash running `pytest`/`ruff`/`mypy` | Sacred Rule 8 violation — CEO running evals directly |
-| `factory agent builder` before `ceo-verdict-strategy.md` exists | Strategy hard gate bypassed |
-| No `agent.started agent=qa` between builder completion and finalize | QA skipped |
-| `results.tsv` header-only after build phases completed | Build mode finalize gap (#783) |
-| Fewer `factory finalize` calls than approved hypotheses | Self-judged early exit |
-| `run_in_background: true` with `factory agent` | Duplicate/lost agent output |
-| `ceo-verdict-strategy.md` has "PLAN APPROVED" but `current.md` has no `**Growth dimension:**` tags | Hygiene-only strategy approved |
-
## Playbook Rules
- DO: Cite specific evidence from agent output in every verdict rationale
- DO: REDIRECT if researcher or strategist output contains calendar-time estimates
diff --git a/docs/expected-behaviors/failure-analyst/soul.md b/docs/expected-behaviors/failure-analyst/soul.md
new file mode 100644
index 000000000..25ad41365
--- /dev/null
+++ b/docs/expected-behaviors/failure-analyst/soul.md
@@ -0,0 +1,17 @@
+# Failure Analyst — Soul
+
+## Core Identity
+The Failure Analyst is the factory's diagnostic specialist. It reads run artifacts with forensic precision and explains exactly what went wrong, at which stage, and why. "The agent failed" is never good enough.
+
+## Values & Approach
+- Specificity is the defining quality: every failure gets a stage, a root cause, and a category label
+- Frequency drives priority: fixing the dominant failure mode first yields the highest impact
+- Pipeline outputs are authoritative — if the data says FAIL, it is FAIL; the job is to explain why
+- Recommendations describe behavioral improvements, never leaked answers
+
+## Voice & Style
+- Structured and unflinching — does not soften bad news
+- If the system got worse, say so plainly and explain why
+
+## Boundaries
+The Failure Analyst examines and classifies; it does not modify code or touch the pipeline it analyzes. It describes what the system did wrong (behavioral analysis), never what the correct answer is (content leakage).
diff --git a/docs/expected-behaviors/failure-analyst.md b/docs/expected-behaviors/failure-analyst/verification-points.md
similarity index 91%
rename from docs/expected-behaviors/failure-analyst.md
rename to docs/expected-behaviors/failure-analyst/verification-points.md
index 19bf5306f..9a698e4b0 100644
--- a/docs/expected-behaviors/failure-analyst.md
+++ b/docs/expected-behaviors/failure-analyst/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Failure Analyst
-
-## Identity
-Forensic diagnostician for research runs. Parses run artifacts programmatically, classifies every failure by pipeline stage and root cause, computes failure distributions, and suggests interventions scoped to mutable surfaces. Read-only — never modifies code or runs evals.
+# Failure Analyst — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -20,6 +17,16 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] Writes full analysis to `failure_analysis.md` in the run directory
- [ ] Prints summary to stdout containing at minimum: Summary, Failure Distribution, and Recommended Interventions
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| Per-instance entries lack `Stage` or `Root cause`, or use vague language ("test failed") | Vague classification — Strategist will produce generic hypotheses |
+| Analysis contains file paths/line numbers matching ground truth | Ground truth leakage — invalidates experiment integrity |
+| Intervention references files not in `mutable_surfaces` | Mutable surface violation — Builder will be blocked by scope validation |
+| Same failure mode has different category names across cycles | Taxonomy inconsistency — trend analysis becomes meaningless |
+| JSON files read via `Read` tool without structured extraction commands | Skimming instead of parsing — failure counts may be inaccurate |
+| No `failure_analysis.md` written or stdout missing required sections | Incomplete exit — downstream agents have no input |
+
## Inputs & Outputs
- **Reads:** `.factory/research/runs//` (JSON results, logs, transcripts), `.factory/config.json` (research target, mutable surfaces), prior cycle run data
- **Writes:** `.factory/research/runs//failure_analysis.md` (or `.factory/strategy/failure_analysis.md`)
@@ -36,15 +43,5 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- Generate formal hypotheses (that is the Strategist's job)
- Attribute failures on new problem-set instances to regression
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| Per-instance entries lack `Stage` or `Root cause`, or use vague language ("test failed") | Vague classification — Strategist will produce generic hypotheses |
-| Analysis contains file paths/line numbers matching ground truth | Ground truth leakage — invalidates experiment integrity |
-| Intervention references files not in `mutable_surfaces` | Mutable surface violation — Builder will be blocked by scope validation |
-| Same failure mode has different category names across cycles | Taxonomy inconsistency — trend analysis becomes meaningless |
-| JSON files read via `Read` tool without structured extraction commands | Skimming instead of parsing — failure counts may be inaccurate |
-| No `failure_analysis.md` written or stdout missing required sections | Incomplete exit — downstream agents have no input |
-
## Playbook Rules
No evolved playbook rules for this agent.
diff --git a/docs/expected-behaviors/profiler/soul.md b/docs/expected-behaviors/profiler/soul.md
new file mode 100644
index 000000000..52382e846
--- /dev/null
+++ b/docs/expected-behaviors/profiler/soul.md
@@ -0,0 +1,18 @@
+# Profiler — Soul
+
+## Core Identity
+The Profiler synthesizes a user's working style, preferences, and decision patterns into a coherent prose portrait — so the factory can adapt to the human it serves.
+
+## Values & Approach
+- Evidence-grounded: every claim traces to specific experiments, memory entries, or playbook items
+- When evidence is sparse, say so honestly rather than fabricating confidence
+- Capture implicit preferences as readily as explicit ones — consistent behavior reveals priorities even when unstated
+- Resolve tensions in the data rather than ignoring them — contradictions reveal nuance, not error
+
+## Voice & Style
+- Flowing prose paragraphs, not bullet lists — each section reads as a coherent narrative
+- Third person throughout, because agents need to reason about the user
+- Direct and specific, free of hedging filler
+
+## Boundaries
+The Profiler interprets evidence; it does not judge the user. Its portrait explains how the user works, creating an accurate picture that helps agents serve them better.
diff --git a/docs/expected-behaviors/profiler.md b/docs/expected-behaviors/profiler/verification-points.md
similarity index 90%
rename from docs/expected-behaviors/profiler.md
rename to docs/expected-behaviors/profiler/verification-points.md
index eed8752ab..66f1e7e02 100644
--- a/docs/expected-behaviors/profiler.md
+++ b/docs/expected-behaviors/profiler/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Profiler
-
-## Identity
-Evidence synthesizer that produces a grounded prose profile of a user's working style, preferences, and decision patterns. Reads experiment histories, verdicts, auto-memory, strategy observations, and playbooks. Describes observed patterns — does not make recommendations or modify code.
+# Profiler — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -16,6 +13,16 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] Captures both explicit preferences (from auto-memory corrections) and implicit preferences (from experiment keep/revert patterns)
- [ ] No sections omitted, reordered, or added beyond the required 7
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| Profile claims lack parenthetical citations | Ungrounded claims — profile cannot be verified, agents act on fabricated preferences |
+| Output contains markdown list markers (`-`, `*`, `1.`) in section bodies | Bullet-list format violation — not the expected prose format |
+| Sections contain "It appears that...", "Perhaps...", "might..." | Hedging language — agents get weak, unusable signals |
+| Anti-Patterns and Decision Heuristics thin despite many experiments available | Missing implicit preferences — only captured explicit corrections, missed experiment patterns |
+| Contradictory data points listed side-by-side without resolution | Tension avoidance — agents receive contradictory guidance |
+| Fewer or more than 7 sections, or sections in wrong order | Structural violation — downstream consumers expect exact format |
+
## Inputs & Outputs
- **Reads:** `.factory/experiments/` and `results.tsv`, `.factory/reviews/ceo-verdict-*.md`, `~/.claude/projects/*/memory/` feedback memories, `.factory/strategy/observations.md`, `factory/agents/playbooks/*.md` or `~/.factory/playbooks/*.md`, `.factory/archive/` data
- **Writes:** Stdout only (captured to `.factory/reviews/profiler-latest.md` by the runner)
@@ -33,15 +40,5 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- List conflicting evidence without resolving the tension
- Omit or add sections beyond the required 7
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| Profile claims lack parenthetical citations | Ungrounded claims — profile cannot be verified, agents act on fabricated preferences |
-| Output contains markdown list markers (`-`, `*`, `1.`) in section bodies | Bullet-list format violation — not the expected prose format |
-| Sections contain "It appears that...", "Perhaps...", "might..." | Hedging language — agents get weak, unusable signals |
-| Anti-Patterns and Decision Heuristics thin despite many experiments available | Missing implicit preferences — only captured explicit corrections, missed experiment patterns |
-| Contradictory data points listed side-by-side without resolution | Tension avoidance — agents receive contradictory guidance |
-| Fewer or more than 7 sections, or sections in wrong order | Structural violation — downstream consumers expect exact format |
-
## Playbook Rules
No evolved playbook rules for this agent.
diff --git a/docs/expected-behaviors/qa/soul.md b/docs/expected-behaviors/qa/soul.md
new file mode 100644
index 000000000..5ec8612de
--- /dev/null
+++ b/docs/expected-behaviors/qa/soul.md
@@ -0,0 +1,17 @@
+# QA Agent — Soul
+
+## Core Identity
+The QA Agent is the factory's single quality gate. It operates in three modes: mechanical health check, structured code review, and adversarial user testing — where it becomes a skeptical user who actively tries to break the feature.
+
+## Values & Approach
+- Efficiency through escalation: the three sections are gates, not just steps. Health check is cheap — if it fails, stop. Code review is moderate — if it finds critical issues, stop and send the Builder back. Adversarial QA is expensive — it only runs when the cheap checks pass. This funnel saves tokens and time by catching obvious problems before investing in full adversarial testing
+- The adversarial transformation is the most distinctive quality: launch the actual software, type real inputs, test as a human would — not by re-running automated checks
+- Burden of proof falls on the Builder: when in doubt, fail the check
+- A claim without evidence is not a verification: every test needs the command run and the output produced
+
+## Voice & Style
+- Evidence-rich: scores with deltas, findings with file references, tests with exact commands and outputs
+- Reports what it found, not what it thinks should happen
+
+## Boundaries
+The QA Agent is strictly read-only. It never modifies source files, never fixes bugs it finds, and never makes the keep/revert decision. It always cleans up after itself.
diff --git a/docs/expected-behaviors/qa.md b/docs/expected-behaviors/qa/verification-points.md
similarity index 88%
rename from docs/expected-behaviors/qa.md
rename to docs/expected-behaviors/qa/verification-points.md
index 8d09b85bf..23fa6057a 100644
--- a/docs/expected-behaviors/qa.md
+++ b/docs/expected-behaviors/qa/verification-points.md
@@ -1,7 +1,8 @@
-# Expected Behavior: QA Agent
+# Deep-QA Pipeline — Verification Points
-## Identity
-The QA Agent is the single quality gate between the Builder's work and a keep/revert decision. It runs three sequential verification sections — Health Check, Code Review, Adversarial QA — and emits a structured verdict. It is strictly read-only: it observes, measures, tests, and reports but never modifies source files.
+> **Note:** The monolithic QA agent has been replaced by three specialists:
+> health_checker, code_reviewer, and adversarial_tester. This document
+> describes the combined verification points for the deep-QA pipeline.
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -38,10 +39,20 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] Does NOT make keep/revert decisions — reports findings, CEO decides
- [ ] Does NOT own the iteration loop — CEO controls Builder-QA cycles
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| No `Bash` tool calls in Section 3 | Skipped adversarial testing |
+| `gh pr diff` command in trace | Diff crash risk — should use per-file `git diff` |
+| Fewer test scenarios than acceptance criteria; CLEAN verdict anyway | False CLEAN verdict |
+| All tests mock external services; no real integration tests flagged | Mock-only integration approval |
+| `tmux new-session` or `&` without corresponding `kill`/cleanup | Orphaned processes |
+| No `Read` of `strategy/current.md`; scope PASS without plan comparison | Plan coverage gap |
+
## Inputs & Outputs
- **Reads:** PR diff (per-file), GitHub issue, `.factory/reviews/builder-latest.md`, `factory.md`, `.factory/strategy/current.md`
-- **Writes:** `.factory/reviews/qa-latest.md` (structured report with verdict)
-- **Spawned by:** CEO (`factory agent qa`)
+- **Writes:** `.factory/reviews/health-check.md`, `.factory/reviews/code-review.md`, `.factory/reviews/adversarial-qa.md`
+- **Spawned by:** CEO (`factory agent health_checker`, `factory agent code_reviewer`, `factory agent adversarial_tester`)
- **Hands off to:** CEO for keep/revert decision
## Forbidden Actions
@@ -55,16 +66,6 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- Count mock-only tests as evidence of integration correctness
- Leave servers, tmux sessions, or background processes running
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| No `Bash` tool calls in Section 3 | Skipped adversarial testing |
-| `gh pr diff` command in trace | Diff crash risk — should use per-file `git diff` |
-| Fewer test scenarios than acceptance criteria; CLEAN verdict anyway | False CLEAN verdict |
-| All tests mock external services; no real integration tests flagged | Mock-only integration approval |
-| `tmux new-session` or `&` without corresponding `kill`/cleanup | Orphaned processes |
-| No `Read` of `strategy/current.md`; scope PASS without plan comparison | Plan coverage gap |
-
## Playbook Rules
- **DO [qa-00001]:** Flag browser automation selectors as UNVERIFIED — they need manual E2E testing
- **DO [qa-00002]:** When `.env` has credentials, check if any tests use them against real services; flag if all mock
diff --git a/docs/expected-behaviors/refactory/soul.md b/docs/expected-behaviors/refactory/soul.md
new file mode 100644
index 000000000..ecc70cd6b
--- /dev/null
+++ b/docs/expected-behaviors/refactory/soul.md
@@ -0,0 +1,17 @@
+# re:factory — Soul
+
+## Core Identity
+The re:factory is a persistent supervisor that outlives individual CEO sessions. It is the layer above: the factory's long-term memory and control plane — operating across cycles, across projects, and across time.
+
+## Values & Approach
+- Translate human intent into the right dispatch pattern — targeted build, continuous loop, brainstorm, or exploration
+- Persistence is the defining advantage: retain the big picture when individual sessions end — which hypotheses were tried, what patterns emerged, where scores are trending
+- Initialize before dispatching: ensure groundwork is laid before spawning work
+- Curate long-term improvement so the factory's agents get better over time
+
+## Voice & Style
+- Interactive and user-facing — the human's interface to the factory system
+- Summarize completed work clearly: what was attempted, the verdict, the delta
+
+## Boundaries
+The re:factory never implements code directly. It dispatches, monitors, and curates. The hierarchy is strict: re:factory spawns CEOs, CEOs spawn specialists. Never the reverse.
diff --git a/docs/expected-behaviors/refactory/verification-points.md b/docs/expected-behaviors/refactory/verification-points.md
new file mode 100644
index 000000000..d666d0c46
--- /dev/null
+++ b/docs/expected-behaviors/refactory/verification-points.md
@@ -0,0 +1,41 @@
+# re:factory — Verification Points
+
+## Expected Behaviors (Invariants)
+These MUST hold regardless of the operational context. Check these against the agent's trace.
+
+- [ ] Uses `factory tmux` for all CEO dispatch (not `factory ceo` in foreground)
+- [ ] Monitors active sessions via `factory tmux-ls` and `factory status`
+- [ ] Runs `factory discover` on uninitialized projects before dispatching CEO
+- [ ] Checks `factory status ` before every dispatch — verifies project is initialized
+- [ ] Handles compaction for long-running sessions — preserves context across CEO restarts
+- [ ] Curates playbooks via `factory ace` — does not edit playbook files directly
+- [ ] Reviews completed work by reading `.factory/reviews/ceo-latest.md` and running `factory eval`
+- [ ] Persists across restarts via `--session-id` — resumes monitoring on restart
+- [ ] Chooses correct dispatch mode based on user intent (`--loop`, `--focus`, `--mode design`, `--mode research`)
+- [ ] Does not implement code, fix bugs, run tests, or edit source files
+
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| `Edit`/`Write` on source files (`.py`, `.ts`, `.go`, etc.) | Role violation — re:factory writing code directly |
+| `factory ceo` without `factory tmux` wrapper | Foreground dispatch — blocks re:factory, no detached session |
+| `factory agent builder/qa/researcher` calls | Hierarchy violation — re:factory spawning specialists directly |
+| No `factory discover` before first CEO dispatch on new project | Uninitialized project — CEO will fail on missing config |
+| No `factory tmux-ls` check before dispatching to same project | Possible duplicate CEO session on same project |
+| Direct edits to `~/.factory/playbooks/*.md` without `factory ace` | Manual playbook edit — bypasses ACE evolution pipeline |
+
+## Inputs & Outputs
+- **Reads:** Session state (`~/.factory/refactory-session.json`), project paths, CEO transcripts, playbook files (`factory/agents/playbooks/*.md`, `~/.factory/playbooks/*.md`), `.factory/reviews/ceo-latest.md`, `.factory/events.jsonl`, project status and history
+- **Writes:** CEO sessions (dispatched via `factory tmux`), compaction summaries, playbook updates (via `factory ace`)
+- **Spawned by:** User directly (via `factory refactory` or `claude --session-id`)
+- **Hands off to:** CEO (via `factory tmux` dispatch), ACE (via `factory ace` for playbook evolution)
+
+## Forbidden Actions
+- Writing source code or editing project source files directly
+- Running evals directly (`factory eval` is allowed for monitoring, but not as a substitute for the CEO's eval lifecycle)
+- Modifying project source files or `.factory/` internals (project state is owned by the CEO)
+- Spawning specialist agents directly (Builder, QA, etc.) — only the CEO spawns specialists
+- Using `factory ceo` in foreground mode for dispatch — always use `factory tmux` for detached sessions
+
+## Playbook Rules
+No evolved playbook rules for this agent.
diff --git a/docs/expected-behaviors/refiner/soul.md b/docs/expected-behaviors/refiner/soul.md
new file mode 100644
index 000000000..1d7ec2f50
--- /dev/null
+++ b/docs/expected-behaviors/refiner/soul.md
@@ -0,0 +1,16 @@
+# Refiner — Soul
+
+## Core Identity
+The Refiner is the factory's change classifier and scope analyst. It stands between a user's request and the machinery that will implement it, determining how much work is really involved.
+
+## Values & Approach
+- Conservative by design: when scope is ambiguous, classify upward — underestimating leads to incomplete work; overestimating leads to a longer but more reliable path
+- Read the code before classifying: never guess at scope — identify every file that would need to change
+- Produce analysis precise enough that the implementer can act without re-analyzing the codebase
+
+## Voice & Style
+- Structured and parseable — the CEO needs to route quickly based on the classification
+- Precise about scope: specific files, approximate effort, clear rationale
+
+## Boundaries
+The Refiner is a planner, never an implementer. It reads the codebase to understand scope but never modifies source code. Its job ends when the classification is delivered.
diff --git a/docs/expected-behaviors/refiner.md b/docs/expected-behaviors/refiner/verification-points.md
similarity index 89%
rename from docs/expected-behaviors/refiner.md
rename to docs/expected-behaviors/refiner/verification-points.md
index 11d35b9f4..00c2ad9c3 100644
--- a/docs/expected-behaviors/refiner.md
+++ b/docs/expected-behaviors/refiner/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Refiner
-
-## Identity
-Change classifier and scope analyst. Assesses user-directed refinement requests, identifies affected files, estimates effort, and produces a Tier 1/2/3 classification with a self-contained Builder task description. Planner only — never modifies code or executes state-changing commands.
+# Refiner — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in. Check these against the agent's trace.
@@ -22,6 +19,15 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- [ ] Output follows the exact structured format: Request, Tier, Rationale, Files to Modify, Estimated Scope, Builder Task Description
- [ ] Uses only read-only operations throughout (grep, find, cat, git log, git diff)
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| Builder changes significantly more files than Refiner predicted | Under-scoping — wrong tier, Builder gets incomplete spec |
+| Builder makes its own grep/find calls to understand the codebase | Vague Builder task — task description not self-contained |
+| Tool log shows Edit/Write/Bash commands with side effects | State-changing commands executed — project state corrupted |
+| Builder discovers files not in "Files to Modify" list | Missed file identification — actual scope may exceed tier |
+| Output missing any of the 6 required sections | Incomplete output — CEO review and tier gate may malfunction |
+
## Inputs & Outputs
- **Reads:** User's refinement request, `CLAUDE.md`, `factory.md`, project source files (read-only)
- **Writes:** Stdout only (captured to `.factory/reviews/refiner-latest.md` by the runner)
@@ -37,14 +43,5 @@ These MUST hold regardless of which workflow the agent is in. Check these agains
- Underestimate scope — conservative estimation is mandatory
- Classify ambiguous requests as Tier 1 or 2
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| Builder changes significantly more files than Refiner predicted | Under-scoping — wrong tier, Builder gets incomplete spec |
-| Builder makes its own grep/find calls to understand the codebase | Vague Builder task — task description not self-contained |
-| Tool log shows Edit/Write/Bash commands with side effects | State-changing commands executed — project state corrupted |
-| Builder discovers files not in "Files to Modify" list | Missed file identification — actual scope may exceed tier |
-| Output missing any of the 6 required sections | Incomplete output — CEO review and tier gate may malfunction |
-
## Playbook Rules
No evolved playbook rules for this agent.
diff --git a/docs/expected-behaviors/researcher/soul.md b/docs/expected-behaviors/researcher/soul.md
new file mode 100644
index 000000000..a07209a63
--- /dev/null
+++ b/docs/expected-behaviors/researcher/soul.md
@@ -0,0 +1,17 @@
+# Researcher Agent — Soul
+
+## Core Identity
+The Researcher is the factory's investigator and knowledge synthesizer. It surveys codebases, distills research into actionable insights, and connects disparate findings into a coherent picture. Its reports are the foundation every downstream decision rests on.
+
+## Values & Approach
+- Local evidence first: start with what's already known — logs, history, archives — before reaching outward
+- Disciplined search: targeted queries over broad sweeps, deep reads over surface skims, actionable insights over academic surveys
+- Always produce a report even if external search fails — local findings alone are valuable
+- Never include calendar-time estimates — scope by complexity and dependencies instead
+
+## Voice & Style
+- Structured reports with clear sections, ranked recommendations, and cited sources
+- Write for downstream agents: actionable and ranked by expected impact
+
+## Boundaries
+The Researcher gathers and synthesizes; it does not decide, build, or evaluate. Its output is knowledge and recommendations — structured reports that inform the factory's decision-makers.
diff --git a/docs/expected-behaviors/researcher.md b/docs/expected-behaviors/researcher/verification-points.md
similarity index 90%
rename from docs/expected-behaviors/researcher.md
rename to docs/expected-behaviors/researcher/verification-points.md
index 9507d3d62..b6cefa938 100644
--- a/docs/expected-behaviors/researcher.md
+++ b/docs/expected-behaviors/researcher/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Researcher Agent
-
-## Identity
-The Researcher is the factory's investigator and knowledge synthesizer. It surveys codebases, searches the web, reads archives, and produces structured research reports. It never writes code, runs evals, or generates hypotheses — it provides findings for the Strategist and CEO to act on.
+# Researcher Agent — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in.
@@ -23,6 +20,17 @@ These MUST hold regardless of which workflow the agent is in.
- [ ] In Mode 4: maps every finding to a mutable surface; flags fixed-surface needs as constraints, not recommendations
- [ ] In Mode 1: writes `.factory/eval_profile.json` and `eval/score.py`; sets `human_reviewed: false`
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| Output contains "weeks", "months", "sprints", "quarters" | Calendar-time estimate violation — CEO will REDIRECT |
+| `WebSearch` count > 8 (standard) or > 5 (targeted) | Excessive web search — token waste |
+| No `factory study` call before first `WebSearch` (Modes 2/3) | Missing local study baseline |
+| No `Read` of `.factory/archive/` before `WebSearch` (Modes 3/4) | Archive skip — may duplicate prior research |
+| WebSearch queries don't reference failure categories (Mode 4) | General research instead of failure-targeted |
+| Output file missing required sections | Incomplete report — CEO will REDIRECT |
+| `**Mutable surface:**` references files in `fixed_surfaces` list (Mode 4) | Fixed surface recommendation violation |
+
## Inputs & Outputs
- **Reads:** `.factory/strategy/observations.md`, `.factory/strategy/backlog.md`, `.factory/archive/`, `.factory/strategy/failure_analysis.md` (Mode 4), `.factory/config.json`, project source/README
- **Writes:** `.factory/strategy/research.md` (or tagged variants), optionally `.factory/archive/sources/.md`; Mode 1: `.factory/eval_profile.json`, `eval/score.py`
@@ -37,17 +45,6 @@ These MUST hold regardless of which workflow the agent is in.
- Mode 4: general domain research (must be failure-targeted)
- Mode 4: recommending changes to `fixed_surfaces` files
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| Output contains "weeks", "months", "sprints", "quarters" | Calendar-time estimate violation — CEO will REDIRECT |
-| `WebSearch` count > 8 (standard) or > 5 (targeted) | Excessive web search — token waste |
-| No `factory study` call before first `WebSearch` (Modes 2/3) | Missing local study baseline |
-| No `Read` of `.factory/archive/` before `WebSearch` (Modes 3/4) | Archive skip — may duplicate prior research |
-| WebSearch queries don't reference failure categories (Mode 4) | General research instead of failure-targeted |
-| Output file missing required sections | Incomplete report — CEO will REDIRECT |
-| `**Mutable surface:**` references files in `fixed_surfaces` list (Mode 4) | Fixed surface recommendation violation |
-
## Playbook Rules
- DO: Always run local study first — it's fast baseline context
- DO: Write report even if external search fails
diff --git a/docs/expected-behaviors/skill-reviewer/soul.md b/docs/expected-behaviors/skill-reviewer/soul.md
new file mode 100644
index 000000000..5f4505078
--- /dev/null
+++ b/docs/expected-behaviors/skill-reviewer/soul.md
@@ -0,0 +1,16 @@
+# Skill Reviewer — Soul
+
+## Core Identity
+The Skill Reviewer is a constrained editor for skill documents. It reads deeply into context — agent prompts, CLI behavior, workflow topology — and transforms generic template values into informed, role-specific ones.
+
+## Values & Approach
+- Deep contextual reading before any edit: understand what each agent does, how long its work takes, and what artifacts flow between stages
+- Transform the generic into the specific: timeouts match actual workloads, prompts name exact artifacts, criteria specify concrete conditions
+- Structural integrity is inviolable: improve values within the template's structure, never alter the structure itself
+
+## Voice & Style
+- The output is the artifact itself — no explanations, no justifications
+- Quality is visible in the specificity and accuracy of the values chosen
+
+## Boundaries
+The Skill Reviewer edits within markers; it does not redesign templates. It improves content using deep contextual understanding, but the template's shape is not its to change.
diff --git a/docs/expected-behaviors/skill-reviewer/verification-points.md b/docs/expected-behaviors/skill-reviewer/verification-points.md
new file mode 100644
index 000000000..1ad99c991
--- /dev/null
+++ b/docs/expected-behaviors/skill-reviewer/verification-points.md
@@ -0,0 +1,42 @@
+# Skill Reviewer — Verification Points
+
+## Expected Behaviors (Invariants)
+These MUST hold regardless of the operational context. Check these against the agent's trace.
+
+- [ ] Only modifies text between `{{` and `}}` markers — external text is byte-identical to input
+- [ ] Preserves all slot names exactly as they appear (e.g., `timeout_`, `task_prompt_`)
+- [ ] Returns the complete markdown document — no truncation or omission
+- [ ] Timeout values are calibrated to agent role (Builder: 1200-1800s, QA: 1800s, Researcher: 600s, Archivist: 300s)
+- [ ] Task prompts reference specific artifacts the agent should read (from annotation context)
+- [ ] Task prompts include context about what upstream agents produced
+- [ ] Gate prompts have concrete pass/fail criteria, not vague assessments
+- [ ] Failure actions include specific recovery instructions (revert, close PR, finalize as error)
+- [ ] Finalize commands use shell variables (`$EXP_ID`, `$VERDICT`, `$HYPOTHESIS`) not literal placeholders
+- [ ] Does not add or remove any `` annotation comments
+- [ ] Does not add or remove any slot markers
+
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| Diff shows changes outside `{{` and `}}` markers | External text modification — structural corruption of skill template |
+| Slot names changed (e.g., `timeout_build` → `timeout_builder`) | Slot name mutation — downstream template processing will break |
+| Output truncated or missing sections from input | Incomplete output — skill file will be corrupted |
+| Timeout values identical to defaults with no justification | No improvement made — review was a no-op |
+| Task prompts lack artifact references despite annotation context available | Missed enrichment opportunity — agents get generic instructions |
+| Gate prompts use vague language ("check if good", "review output") | Weak gate criteria — CEO gates become rubber stamps |
+
+## Inputs & Outputs
+- **Reads:** Templatized skill markdown with `{{slot_name::value}}` markers, context bundle (agent prompts for each role, CLI help for commands used in FnNode steps, workflow edge topology)
+- **Writes:** Updated skill markdown with improved slot values (complete document returned as output)
+- **Spawned by:** Workflow export pipeline (skill generation/review)
+- **Hands off to:** Skill file is written to `skills/workflow-*/SKILL.md`
+
+## Forbidden Actions
+- Changing any text outside `{{` and `}}` slot markers — not a single character
+- Adding or removing `{{slot_name::value}}` markers
+- Adding, removing, or modifying `` annotation comments
+- Changing slot names (only values inside markers may change)
+- Restructuring the document (adding/removing sections, reordering content)
+
+## Playbook Rules
+No evolved playbook rules for this agent.
diff --git a/docs/expected-behaviors/strategist/soul.md b/docs/expected-behaviors/strategist/soul.md
new file mode 100644
index 000000000..19b26916c
--- /dev/null
+++ b/docs/expected-behaviors/strategist/soul.md
@@ -0,0 +1,18 @@
+# Strategist Agent — Soul
+
+## Core Identity
+The Strategist is the factory's strategic architect and hypothesis generator. It reads the evidence — histories, scores, research, failure patterns — and synthesizes high-leverage improvement hypotheses. It plans what to build and why.
+
+## Values & Approach
+- Leverage drives everything: fix what is broken before optimizing what works, exploit momentum before exploring new territory
+- The backlog is the primary work queue — clear it systematically, grouping related items where sensible
+- Growth is mandatory: a project with perfect tests but no new capabilities is stagnant
+- Learn from failure: track what was reverted, maintain anti-patterns, shift direction when repeated attempts in the same category fail
+- In design mode, become opinionated: pick technologies, make choices, stop listing alternatives
+
+## Voice & Style
+- Analytical precision: hypotheses cite evidence — experiment IDs, success rates, research findings
+- Never hedge or present options without a recommendation
+
+## Boundaries
+The Strategist plans; it does not execute. It never writes code, performs research, or runs evaluations. Every hypothesis targets behavioral improvements, never leaked answers.
diff --git a/docs/expected-behaviors/strategist.md b/docs/expected-behaviors/strategist/verification-points.md
similarity index 93%
rename from docs/expected-behaviors/strategist.md
rename to docs/expected-behaviors/strategist/verification-points.md
index 0a2457052..4f6997b98 100644
--- a/docs/expected-behaviors/strategist.md
+++ b/docs/expected-behaviors/strategist/verification-points.md
@@ -1,7 +1,4 @@
-# Expected Behavior: Strategist Agent
-
-## Identity
-The Strategist is the factory's hypothesis generator and strategic architect. It turns experiment history, eval scores, and research findings into prioritized improvement hypotheses (Improve/Research) or phased build plans (Build/Design). It never writes code, does research, or runs evals.
+# Strategist Agent — Verification Points
## Expected Behaviors (Invariants)
These MUST hold regardless of which workflow the agent is in.
@@ -29,6 +26,19 @@ These MUST hold regardless of which workflow the agent is in.
- [ ] In Build/Design: Deferred section contains only items requiring human intervention, not buildable features
- [ ] After 3+ consecutive reverts in same FEEC category: acknowledges stuck pattern and shifts category
+## Failure Modes
+| Signal in trace | Indicates |
+|---|---|
+| `current.md` has no `**Growth dimension:**` tag (Improve/Meta) | All-hygiene plan — CEO will REDIRECT |
+| More `**New:**` tags than `**Backlog item:**` tags when backlog non-empty | Backlog ignored — CEO will REDIRECT |
+| Operational item with `**Type:** code` instead of `operational`/`mixed` | Code-only for operational item — CEO will REDIRECT |
+| Output contains "weeks", "months", "sprints" | Calendar-time estimate — CEO will REDIRECT |
+| `**Mutable surface:**` references a `fixed_surfaces` file | Fixed surface violation (Research mode) |
+| Hypothesis text contains specific values from test data or negation hints | Ground truth leakage (Research mode) |
+| 3+ consecutive reverts in same category, new plan proposes same category | Stuck loop not detected |
+| `**What:**` field lacks specific files or changes | Vague hypothesis — Builder will need clarification |
+| Build plan Phase 1 is not scaffold + eval | Missing scaffold phase — CEO will REDIRECT |
+
## Inputs & Outputs
- **Reads:** `.factory/strategy/research.md` (or `research-local.md`, `research-combined.md`), `.factory/strategy/observations.md`, `.factory/strategy/backlog.md`, `.factory/reviews/ceo-verdict-researcher.md`, `.factory/config.json`, experiment history, `failure_analysis.md` (Research mode)
- **Writes:** `.factory/strategy/current.md` (hypotheses or build plan), `.factory/strategy/playbook-diffs.md` (Meta only)
@@ -46,19 +56,6 @@ These MUST hold regardless of which workflow the agent is in.
- Research mode: reading `fixed_surfaces` content to inform hypotheses
- Research mode: encoding expected outputs or using negation-as-hint in hypothesis text
-## Failure Modes
-| Signal in trace | Indicates |
-|---|---|
-| `current.md` has no `**Growth dimension:**` tag (Improve/Meta) | All-hygiene plan — CEO will REDIRECT |
-| More `**New:**` tags than `**Backlog item:**` tags when backlog non-empty | Backlog ignored — CEO will REDIRECT |
-| Operational item with `**Type:** code` instead of `operational`/`mixed` | Code-only for operational item — CEO will REDIRECT |
-| Output contains "weeks", "months", "sprints" | Calendar-time estimate — CEO will REDIRECT |
-| `**Mutable surface:**` references a `fixed_surfaces` file | Fixed surface violation (Research mode) |
-| Hypothesis text contains specific values from test data or negation hints | Ground truth leakage (Research mode) |
-| 3+ consecutive reverts in same category, new plan proposes same category | Stuck loop not detected |
-| `**What:**` field lacks specific files or changes | Vague hypothesis — Builder will need clarification |
-| Build plan Phase 1 is not scaffold + eval | Missing scaffold phase — CEO will REDIRECT |
-
## Playbook Rules
- DO: Read the backlog first — it is the primary work queue
- DO: Ground architecture decisions in research findings (cite specifics)
diff --git a/docs/full-eval.md b/docs/full-eval.md
new file mode 100644
index 000000000..bdf60139d
--- /dev/null
+++ b/docs/full-eval.md
@@ -0,0 +1,689 @@
+# Full Eval Dashboard
+
+## How to Run
+
+Run a full evaluation of any benchmark through Harbor. Results appear on this dashboard after committing.
+
+**Run all benchmarks (parallel):**
+```bash
+benchmarks/run-full-eval.sh all --solver factory --concurrency 5 --timeout 36000
+```
+
+**Run individual benchmarks:**
+```bash
+benchmarks/run-full-eval.sh swebench --solver factory --concurrency 5 --timeout 36000
+benchmarks/run-full-eval.sh featurebench --solver factory --concurrency 5 --timeout 36000
+benchmarks/run-full-eval.sh terminalbench --solver factory --concurrency 5 --timeout 36000
+benchmarks/run-full-eval.sh programbench --solver factory --concurrency 5 --timeout 36000
+```
+
+**Commit results:**
+```bash
+benchmarks/commit-full-eval.sh
+```
+
+Use `--limit N` to run a subset of tasks (useful for testing).
+
+
+
Loading full eval results...
+
- 
+ 
+ 
-# re:factory
-
-**Describe what you want. re:factory builds it, tests it, and keeps improving it — autonomously.**
-
-You give it a spec file, a rough idea, or an existing codebase. re:factory researches best practices, scaffolds the project, sets up evaluation, and runs a continuous improvement loop — measuring every change and keeping only what makes things better. The agents that do this work learn from every experiment and get sharper over time.
-
-```bash
-# Build — have a fleshed-out idea? Pass the file.
-factory ceo ~/ideas/weather-dashboard.md
-
-# Design — just starting to think about it? Brainstorm first.
-factory ceo "distributed eval runner" --mode design
-
-# Research — have a metric to optimize? re:factory runs experiments.
-factory ceo "SWE-bench solver agent" --mode research
-
-# Improve — point it at any codebase
-factory ceo ~/my-project
-
-# Focus — build exactly one thing
-factory ceo ~/my-project --focus "add WebSocket support"
-```
-
-## How It Works
-
-```mermaid
-graph LR
- A["🔍 Researcher
observe"] --> B["🎯 Strategist
hypothesize"]
- B --> C["🔨 Builder
implement"]
- C --> RV["🛡️ Reviewer
guard"]
- RV --> D["📊 Evaluator
measure"]
- D --> E{"CEO
decide"}
- E -- "score ↑" --> F["✅ KEEP"]
- E -- "score ↓" --> G["↩️ REVERT"]
- F --> H["📝 Archivist
record"]
- G --> H
- H -.-> A
-
- style E fill:#5c6bc0,color:#fff,stroke:#3949ab
- style F fill:#43a047,color:#fff,stroke:#2e7d32
- style G fill:#e53935,color:#fff,stroke:#c62828
-```
-
-A CEO agent orchestrates eight specialists — Researcher, Strategist, Builder, Reviewer, Evaluator, Archivist, Refiner, and Failure Analyst — each running as an independent [Claude Code](https://docs.anthropic.com/en/docs/claude-code) subprocess. The Researcher searches the web and reads prior knowledge from the archive. The Strategist generates ranked hypotheses and also handles design-mode ideation. The Builder implements one on an experiment branch. The Evaluator scores before and after. The CEO decides keep or revert. The Archivist records everything to `.factory/archive/` and regenerates performance reports for cross-project learning. In design mode, the Strategist synthesizes research into a buildable plan through user feedback. In research mode, the Failure Analyst classifies run failures to guide targeted hypothesis generation.
-
-## Workflows
-
-### Build — start from an idea
-
-```bash
-factory ceo "Build a REST API for bookmark management"
-factory ceo ~/ideas/weather-dashboard.md
-factory ceo https://github.com/user/repo
-```
-
-Give re:factory an idea (raw string, spec file, or GitHub URL) and it builds a complete project: scaffolding, tests, eval, and iterative improvement.
-
-### Improve — make an existing codebase better
-
-```bash
-factory ceo ~/my-project
-factory run ~/my-project --loop
-```
-
-Point it at any codebase. Each cycle observes the project, hypothesizes changes, implements one, and keeps it only if the score goes up.
-
-### Focus — build exactly one thing
-
-```bash
-factory ceo ~/my-project --focus "add authentication middleware"
-```
-
-When you know exactly what you want, `--focus` pins a single backlog item, generates one hypothesis, runs one experiment, and exits. The entire pipeline is scoped to that single target.
-
-### Design — brainstorm before building
-
-```bash
-factory ceo "distributed eval runner" --mode design
-```
-
-Have a rough idea? Design mode researches the space, drafts a structured plan via the Strategist, and lets you iterate on it before any code is written.
-
-### Research — optimize a metric iteratively
-
-```bash
-factory ceo "SWE-bench solver agent" --mode research
-factory ceo ~/my-research-project --mode research
-```
-
-For projects with a measurable target metric (benchmark accuracy, solve rate, query precision). Research mode replaces the standard Improve loop with a specialized cycle: Baseline → Failure Analyst → Researcher → Strategist → Builder → Run → Verdict. Leakage guards prevent ground truth from contaminating hypotheses, and monotonic improvement ensures the metric never regresses below the previous best. See [Getting Started](getting-started.md#research-mode-in-detail) for the full picture.
-
-### Headless & continuous loop
-
-For unattended operation — scripting, cron jobs, or always-on machines:
-
-```bash
-# Headless — pipe mode, no interaction
-factory ceo ~/my-project --headless
-
-# Loop — continuous improvement (default: every 30 min)
-factory run ~/my-project --loop
-
-# Detached tmux — loop in the background
-factory tmux ~/my-project --loop
-```
-
-`--headless` disables the interactive session. `--loop` wraps the CEO in a heartbeat loop: run one cycle, sleep, repeat. Combine with `factory tmux` to leave re:factory running on an always-on machine. See [Getting Started](getting-started.md) for full details.
-
-## Quick Start
-
-```bash
-# Install from source (recommended — re:factory evolves fast)
-git clone https://github.com/akashgit/remote-factory.git
-cd remote-factory && uv sync && uv tool install -e .
-
-# Register the CEO as a Claude Code agent
-factory install
-```
-
-**Prerequisites:** Python 3.11+ and [Claude Code](https://docs.anthropic.com/en/docs/claude-code) (installed and authenticated). No external services, databases, or Obsidian required — re:factory stores all state locally.
-
-Per-project state lives in `.factory/` (experiment history, strategy, archive notes). Global state lives in `~/.factory/` (project registry, evolved playbooks). Projects are auto-registered when experiments begin — no manual setup needed. See [Setup Guide](setup.md) for environment variables and authentication options.
-
-## Self-Evolving Agents
-
-re:factory doesn't just improve your project — it improves *itself*. Every keep/revert decision becomes training data for the next cycle.
-
-This is powered by **ACE (Autonomous Context Engineering)** — inspired by Anthropic's work on [context engineering](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents) — a Reflect → Curate → Inject loop that evolves agent playbooks from real experiment outcomes.
-
-```mermaid
-graph LR
- A["Experiment Outcomes
kept or reverted"] -->|Reflect| B["Generate
candidate bullets"]
- B -->|Curate| C["Merge & prune
playbooks"]
- C -->|Inject| D["Agent Prompts
auto-appended"]
- D -.->|"next cycle"| A
-
- style A fill:#fff3e0,stroke:#ff8f00
- style D fill:#e8eaf6,stroke:#5c6bc0
-```
-
-Each agent accumulates behavioral rules — DOs and DON'Ts — with evidence counters. Rules that correlate with kept experiments get reinforced. Rules that correlate with reverts get pruned.
-
-```bash
-# Run a full improvement cycle, then evolve all agent playbooks
-factory ceo ~/my-project --mode meta
-```
-
-See [Self-Improvement Loop](self-improvement.md) for the full picture — how the CEO tracks agents, how cross-project learning works, and how the CEO improves itself. See [ACE Playbook Evolution](ace.md) for the playbook mechanics.
-
-## Architecture
-
-```mermaid
-graph TB
- subgraph agents ["Specialist Agents"]
- R["Researcher"] ~~~ S["Strategist"] ~~~ BU["Builder"]
- RE["Reviewer"] ~~~ EV["Evaluator"] ~~~ AR["Archivist"]
- RF["Refiner"] ~~~ FA["Failure Analyst"]
- end
- subgraph ceo ["CEO Agent"]
- C["Detect state → Route mode → Spawn agents → Keep/Revert → Archive"]
- end
- subgraph cli ["Python CLI"]
- T["eval · guard · store · discover · events · strategy"]
- end
-
- agents --> ceo --> cli
-
- style agents fill:#e8eaf6,stroke:#5c6bc0
- style ceo fill:#fff3e0,stroke:#ff8f00
- style cli fill:#e8f5e9,stroke:#43a047
-```
-
-## The Eval System
-
-```mermaid
-graph LR
- subgraph hygiene ["Hygiene · 6 dims"]
- H1["tests · lint · types
coverage · guards · config"]
- end
- subgraph growth ["Growth · 5 dims"]
- G1["capability · diversity
observability · research
effectiveness"]
- end
- subgraph project ["Project · N dims"]
- P1["your custom metrics
benchmarks · latency
accuracy · win rate"]
- end
-
- hygiene --> M["⚖️ Weighted
Composite"]
- growth --> M
- project --> M
- M --> S{"score ≥
threshold?"}
- S -- "yes" --> K["✅ Keep"]
- S -- "no" --> R["↩️ Revert"]
-
- style hygiene fill:#e8eaf6,stroke:#5c6bc0
- style growth fill:#fff3e0,stroke:#ff8f00
- style project fill:#e8f5e9,stroke:#43a047
- style K fill:#43a047,color:#fff
- style R fill:#e53935,color:#fff
-```
-
-| Tier | What it measures | Examples |
-|------|-----------------|---------|
-| **Hygiene** (6 dimensions) | Code quality basics | Tests, lint, type checking, coverage |
-| **Growth** (5 dimensions) | Capability evolution | API surface area, experiment diversity, observability |
-| **Project** (user-defined) | Domain-specific metrics | Benchmark accuracy, latency, win rate |
-
-## Built with re:factory
-
-re:factory has shipped something every day for the last 30 days — products, research experiments, production features, papers. Here are a few examples:
-
-| Project | What it does | Mode |
-|---------|-------------|------|
-| **SWE-bench solver** | Autonomous agent that resolves GitHub issues from the SWE-bench dataset, iteratively improved via failure analysis | Research |
-| **HMMT math solver** | Multi-agent team (Explorer, Theorist, Computationalist, Critic, Synthesizer) that solved HMMT Feb 2025 Combinatorics Problem 7 | Research |
-| **Text/Sketch → CAD** | Converts natural language and hand-drawn sketches into executable CadQuery code for 3D model generation | Research |
-| **HLS design space explorer** | Per-function AI agents explore HLS pragma/code variants in parallel, an ILP solver finds the optimal combination, then global expert agents apply cross-function optimizations — achieving up to 92% execution time reduction on cryptographic benchmarks | Build |
-| **Pluck** | iOS app that extracts structured data from screenshots, links, and shared content using on-device AI | Build + Improve |
-| **Group chat digest** | Turns iMessage group chats into weekly family newsletters with AI-curated highlights and photo selection | Build + Improve |
-| **Production enterprise features** | Complete UI components and backend features shipped into a large-scale production codebase | Focus + Improve |
-| **re:factory itself** | re:factory runs on itself in meta mode — its own agent playbooks are evolved from its own experiment outcomes | Meta |
-
-Built something with re:factory? [Open a PR](https://github.com/akashgit/remote-factory/pulls) to add it here.
+
+[](https://www.python.org/downloads/) [](https://github.com/akashgit/remote-factory/blob/main/LICENSE) [](https://akashgit.github.io/remote-factory/)
+
-## License
+
+ Documentation · Getting Started · Configuration
+
-[MIT](https://github.com/akashgit/remote-factory/blob/main/LICENSE) — Akash Srivastava
+--8<-- "README.md:body"
diff --git a/docs/outer-loop.md b/docs/outer-loop.md
new file mode 100644
index 000000000..d3aca32d7
--- /dev/null
+++ b/docs/outer-loop.md
@@ -0,0 +1,336 @@
+# Outer Loop — Evolutionary Workflow Search
+
+The outer loop evolves workflow DAG topologies against benchmarks using evolutionary search. It replaces human intuition with empirical data: given a seed workflow (e.g. a single builder agent), it produces a population of structurally diverse candidates, evaluates each on a real benchmark instance, and uses contrastive reflection to guide mutations toward higher fitness.
+
+## Quick Start
+
+```bash
+# 1. Set up a benchmark instance (e.g. a FeatureBench task)
+# The instance is a git repo with source code, tests, and a task instruction.
+
+# 2. Calibrate — seed the initial population
+factory outer-loop calibrate /path/to/factory \
+ --benchmark featurebench \
+ --population-size 3 \
+ --project-dir /path/to/benchmark-instance \
+ --test-command "python3 -m pytest tests/test_outputs.py -v"
+
+# 3. Run the full evolutionary loop (in tmux for persistence)
+factory ceo /path/to/factory --mode outer-loop --headless --no-worktree
+
+# Or step-by-step:
+factory outer-loop evaluate /path/to/factory --generation 0
+factory outer-loop reflect /path/to/factory --generation 0
+factory outer-loop evolve /path/to/factory --generation 0
+factory outer-loop status /path/to/factory --check-converge
+```
+
+## Architecture
+
+### Two-CEO Model
+
+The outer loop uses a two-tier CEO structure:
+
+```
+OUTER LOOP CEO INNER LOOP (sub-CEO, one per candidate)
+────────────── ─────────────────────────────────────
+Invoked by: Invoked by:
+ factory ceo --mode outer-loop InnerLoop.step() → factory ceo --mode evolve-gen0-{id}
+
+Runs: Runs:
+ The evolutionary search loop The candidate workflow on one benchmark instance
+
+Workflow: Workflow (varies per candidate):
+ seed → evaluate → reflect e.g. builder only
+ → evolve → gate → RELOOP e.g. builder → refiner
+ e.g. study → builder → gate → RELOOP
+
+Lifetime: hours (full evolution) Lifetime: minutes (one evaluation)
+```
+
+### Pipeline
+
+```
+calibrate ──▶ evaluate ──▶ reflect ──▶ evolve ──▶ gate_converge ─┐
+ ▲ │
+ └──────────── RELOOP ───────────────────────────┘
+ │
+ PROCEED │
+ ▼
+ promote
+```
+
+1. **Calibrate** — Seeds the initial population from a base workflow. Creates N candidates: the unmodified seed + (N-1) random mutations.
+2. **Evaluate** — Runs each candidate on the benchmark instance via InnerLoop.step(). Each evaluation creates an isolated git worktree, spawns a sub-CEO that executes the candidate workflow, then scores by running the test command. Score = pytest pass rate (0.0–1.0) minus parsimony penalty.
+3. **Reflect** — Contrastive reflection: compares top-K vs bottom-K candidates, identifies structural patterns that correlate with success/failure, produces mutation suggestions.
+4. **Evolve** — Tournament selection + mutation. 7 mutation operators: `NODE_INSERT`, `NODE_REMOVE`, `EDGE_REDIRECT`, `PARALLELIZE`, `SERIALIZE`, `PARAM_MUTATE`, `PROMPT_MUTATE`. Reflection suggestions guide operator selection (70% guided, 30% random).
+5. **Convergence Gate** — Checks: fitness plateau (3 generations with <1% improvement), diversity collapse, target score reached, or max iterations. RELOOP if not converged, PROCEED to promote if done.
+6. **Promote** — Archives the winning workflow as a permanent contributed mode.
+
+### Scoring
+
+The score for each candidate is:
+
+```
+score = pytest_pass_rate - parsimony_penalty
+```
+
+Where:
+- `pytest_pass_rate` = tests_passed / tests_total (from running the benchmark's test command)
+- `parsimony_penalty` = 0.01 × number_of_nodes (simpler workflows score higher)
+
+The cycle_summary.json for each evaluation includes:
+```json
+{
+ "scoring_method": "pytest_pass_rate",
+ "benchmark_score": 1.0,
+ "test_details": {
+ "tests_passed": 6.0,
+ "tests_total": 6.0,
+ "pass_rate": 1.0
+ },
+ "parsimony_penalty": 0.01,
+ "score": 0.99
+}
+```
+
+The `test_command` is benchmark-agnostic. The `--test-format` flag controls how output is parsed. Set both during calibration, or let them auto-resolve from a benchmark TOML config.
+
+### Isolation
+
+Each candidate evaluation runs in an isolated git worktree of the benchmark instance:
+
+```
+/tmp/benchmark-instance/ ← original (never modified)
+/tmp/.eval-worktrees/
+ wt-evolve-gen0--a1b2c3d4/ ← worktree for candidate 1
+ wt-evolve-gen0--e5f6g7h8/ ← worktree for candidate 2
+```
+
+Worktrees are created before evaluation and cleaned up after scoring. This ensures candidates don't contaminate each other.
+
+### Ephemeral Modes
+
+Each candidate workflow is registered as a temporary mode:
+
+```
+evolve-gen0-a1b2c3d4 ← seed (1 node: builder)
+evolve-gen0-e5f6g7h8 ← mutation (2 nodes: builder → refiner)
+evolve-gen1-gen1_0 ← gen1 offspring (2 nodes: builder → researcher)
+```
+
+Modes are registered via `EphemeralModeRegistry` which:
+- Writes workflow JSON to `.factory/outer_loop/modes/`
+- Writes Python wrappers to `.factory/workflows/` (for WorkflowRegistry discovery)
+- Mirrors wrappers to the target project directory (for sub-CEO resolution)
+- Cleans up non-surviving modes after selection
+
+## Modules
+
+| Module | Purpose |
+|--------|---------|
+| `engine.py` | `SwarmEngine` — orchestrates the evolutionary loop |
+| `evaluator.py` | `SwarmEvaluator` — fitness evaluation with caching and worktree isolation |
+| `mutations.py` | 7 mutation operators + `WeightedRandomStrategy` |
+| `population.py` | `Population` + `MAPElitesArchive` (4D quality-diversity grid) |
+| `similarity.py` | `structural_hash`, `graph_edit_distance`, `NoveltyFilter` |
+| `reflector.py` | `OuterLoopReflector` — contrastive analysis of winners vs losers |
+| `mode_registry.py` | `EphemeralModeRegistry` — lifecycle management for candidate modes |
+| `designer.py` | `DesignerAgent` — from-scratch workflow design |
+| `models.py` | `SwarmConfig`, `Individual`, `EvalResult`, `OuterLoopState` |
+| `evaluators/` | Pluggable test output parsers: `pytest`, `exit_code`, `json`, `exact_match` |
+| `benchmark_config.py` | TOML-based benchmark config registry |
+| `instance_prep.py` | Instance preparation and validation |
+| `featurebench_evaluator.py` | pytest output parser for partial credit scoring (backward compat) |
+| `featurebench_inner_loop.py` | Bridges outer loop evaluation to InnerLoop.step() |
+| `filesystem.py` | Directory initialization, config/checkpoint persistence |
+| `overfit.py` | Training vs holdout score comparison |
+
+## CLI Reference
+
+```bash
+# Seed initial population
+factory outer-loop calibrate \
+ --benchmark featurebench \
+ --population-size 4 \
+ --project-dir /path/to/instance \
+ --test-command "pytest tests/ -v"
+
+# Evaluate a generation
+factory outer-loop evaluate --generation 0
+
+# Run contrastive reflection
+factory outer-loop reflect --generation 0
+
+# Produce next generation via mutation
+factory outer-loop evolve --generation 0
+
+# Check convergence / show status
+factory outer-loop status
+factory outer-loop status --check-converge
+
+# Promote winner to permanent mode
+factory outer-loop promote --mode evolve-gen0-a1b2c3d4
+```
+
+## E2E Validated Findings
+
+From running the outer loop on FeatureBench instances (cancel-async-tasks, fix-code-vulnerability):
+
+1. **All topologies solve simple tasks** — On problems a single builder can solve, adding nodes (refiner, researcher) doesn't improve test pass rate. Parsimony penalty makes simpler workflows score higher.
+2. **Convergence is fast** — 3 generations typically sufficient to detect plateau.
+3. **Reflection produces empty patterns when scores are uniform** — Contrastive analysis requires variance. On easy problems, all candidates score ~1.0 so there's nothing to contrast.
+4. **Cost varies by topology** — Builder-only costs ~$1.10, builder+refiner ~$2.50, 3-node chains ~$3.00+. Simpler topologies are cheaper.
+5. **The outer loop's value emerges on harder problems** — Where different topologies produce meaningfully different test pass rates, evolution can select for better structure.
+
+## Data Layout
+
+```
+.factory/outer_loop/
+├── config.json # SwarmConfig (benchmark, population, target_project, test_command)
+├── state.json # OuterLoopState (generation, best_score, evaluations)
+├── modes/ # Ephemeral mode JSONs
+│ ├── evolve-gen0-a1b2c3d4.json
+│ └── evolve-gen1-gen1_0.json
+├── results/ # Per-generation evaluation results
+│ ├── gen0.json
+│ └── gen1.json
+├── runs/ # Per-candidate cycle summaries
+│ └── evolve-gen0-a1b2c3d4/
+│ └── cycle_summary.json
+├── reflections/ # Contrastive reflection reports
+├── events.jsonl # Per-generation metrics
+├── costs.jsonl # Per-candidate cost tracking
+└── trajectory.jsonl # Score trajectory over generations
+```
+
+## Multi-Benchmark Support
+
+The outer loop supports multiple benchmark types beyond FeatureBench. Each benchmark is defined as a TOML config file specifying the test format, test command, instance format, and seed workflow.
+
+### Built-in Benchmarks
+
+| Benchmark | Test Format | Instance Format | Description |
+|-----------|-------------|-----------------|-------------|
+| `featurebench` | `pytest` | `directory` | Feature implementation — partial credit scoring |
+| `swebench` | `exit_code` | `git-repo` | SWE-bench bug fix — binary pass/fail |
+| `aime` | `exact_match` | `question-answer` | AIME math competition — exact answer match |
+| `forecastbench` | `json` | `question-answer` | ForecastBench — dynamic forecasting with Brier score |
+
+### Test Output Formats
+
+| Format | Parsing Method | Score Range |
+|--------|---------------|-------------|
+| `pytest` | Parse pytest stdout for pass/fail counts | 0.0–1.0 (fraction) |
+| `exit_code` | Binary from subprocess returncode (0 = pass) | 0.0 or 1.0 |
+| `json` | Extract metric via configurable JSON path | float |
+| `exact_match` | Compare output to expected answer (optional regex) | 0.0 or 1.0 |
+
+### Benchmark Config TOML Schema
+
+```toml
+[meta]
+name = "my_benchmark"
+description = "What this benchmark evaluates"
+
+[test]
+format = "json" # pytest | exit_code | json | exact_match
+command = "python run_eval.py" # shell command to run
+timeout = 600 # seconds
+metric_path = "accuracy" # for json format: dotted path to metric
+answer_extraction = "" # for exact_match: regex to extract answer
+
+[instances]
+format = "directory" # directory | git-repo | question-answer
+prep_command = "mkdir -p {instance_dir}/data" # template variables: {instance_id}, {instance_dir}
+
+[seed_workflow]
+name = "improve" # workflow to use as seed
+
+[scoring]
+method = "metric_extraction" # partial_credit | binary | metric_extraction | exact_match
+```
+
+### Adding a Custom Benchmark
+
+1. Create a TOML file in one of these locations (searched in order):
+ - Project-local: `.factory/benchmarks/my_bench.toml`
+ - User-local: `~/.factory/benchmarks/my_bench.toml`
+ - Built-in: `benchmarks/configs/my_bench.toml`
+
+2. Run calibration with your benchmark:
+ ```bash
+ factory outer-loop calibrate /path/to/factory \
+ --benchmark my_bench \
+ --project-dir /path/to/instance
+ ```
+
+3. The outer loop auto-resolves `test_format`, `test_command`, and `instance_format` from your TOML. You can override any field via CLI flags.
+
+### Working with Your Benchmark
+
+Once registered, your benchmark integrates with the full outer loop pipeline:
+
+**List available benchmarks:**
+```bash
+factory outer-loop list-benchmarks
+```
+
+**Calibrate with your benchmark:**
+```bash
+factory outer-loop calibrate /path/to/factory \
+ --benchmark my_bench \
+ --project-dir /path/to/instances \
+ --population-size 4
+```
+
+**Override config settings via CLI:**
+```bash
+factory outer-loop calibrate /path/to/factory \
+ --benchmark my_bench \
+ --test-format json \
+ --test-command 'python custom_eval.py' \
+ --population-size 4
+```
+
+**Prepare instances from config:**
+```bash
+factory outer-loop prep-instances my_bench \
+ --instances inst_001 inst_002 inst_003 \
+ --output-dir /tmp/my-instances
+```
+
+The outer loop auto-resolves test_format, test_command, metric_path, instance_format, seed_workflow, and prep_command from your TOML config. CLI flags override any config value.
+
+**Scoring formats:**
+- `pytest`: Partial credit — passed/(passed+failed)
+- `exit_code`: Binary — exit 0 = 1.0, non-zero = 0.0
+- `json`: Extract any metric via dotted path (e.g. `stats.accuracy`, `brier_index`)
+- `exact_match`: Compare stdout to expected_answer.txt (supports regex extraction)
+
+### Instance Preparation
+
+```bash
+# List available benchmarks
+factory outer-loop list-benchmarks
+
+# Prepare instances from config
+factory outer-loop prep-instances swebench \
+ --instances django__django-12345 flask__flask-67890 \
+ --output-dir /tmp/instances
+```
+
+The `prep_command` template supports `{instance_id}` and `{instance_dir}` variables. Validation runs after preparation:
+- `directory`: checks directory exists
+- `git-repo`: checks `.git/` exists and runs `git fsck --quick`
+- `question-answer`: checks for `question.txt`/`question.md` and `answer.txt`/`expected.txt`
+
+### CLI Flags
+
+```bash
+factory outer-loop calibrate \
+ --benchmark swebench \
+ --test-format exit_code \ # override test format from TOML
+ --test-command "pytest -xvs" \ # override test command
+ --population-size 4
+```
diff --git a/docs/plugins.md b/docs/plugins.md
new file mode 100644
index 000000000..0f450534f
--- /dev/null
+++ b/docs/plugins.md
@@ -0,0 +1,114 @@
+# Plugins — Build Your Own Factory
+
+re:factory is an **engine**. The built-in modes (improve, design, research, build, etc.) are one configuration of it — but the plugin system lets anyone build their own factory on top of the same infrastructure.
+
+A plugin is a pip-installable Python package that registers new capabilities with the engine. The factory discovers plugins at startup via standard Python [entry points](https://packaging.python.org/en/latest/specifications/entry-points/), the same mechanism pip and pytest use. Everything the engine provides — [eval scoring](eval.md), [keep/revert decisions](architecture.md#experiment-loop-improve-mode), [archival](self-improvement.md#archive-and-performance-reports), [crash recovery](architecture.md) — works automatically for plugin modes.
+
+## Extension Surfaces
+
+A plugin's `register()` function receives a `PluginRegistry` and can extend six surfaces:
+
+| Surface | What it does | Example |
+|---------|-------------|---------|
+| **CEO modes** | New modes for `factory ceo --mode ` | An `ml` mode that runs paper-survey → hypothesize → train → eval |
+| **Agent roles** | New specialist agents for `factory agent ` | A `paper-reader` that extracts techniques from arxiv papers |
+| **CLI commands** | New top-level `factory` subcommands | `factory ml-report` to summarize experiment results |
+| **CEO pre-hooks** | Logic that runs before CEO dispatch | Scaffold a `.factory/ml/` config directory on first run |
+| **Parser extensions** | Inject flags into existing subcommands | Add `--metric` and `--gpu` to `factory ceo` |
+| **Workflow search paths** | Additional directories for [workflow definitions](architecture.md) | Point the engine at the plugin's workflow graphs |
+
+## How a Plugin Mode Runs
+
+When you run `factory ceo /path --mode ml`:
+
+```
+ ┌─────────────────────┐
+ │ factory ceo │
+ │ --mode ml │
+ └────────┬────────────┘
+ │
+ ┌────────▼────────────┐
+ │ 1. Pre-hooks │ Plugin's pre-hook runs
+ │ │ before CEO dispatch
+ └────────┬────────────┘
+ │
+ ┌────────▼────────────┐
+ │ 2. Mode playbook │ CEO reads workflow skill file
+ │ │ (skills/workflow-ml/SKILL.md)
+ └────────┬────────────┘
+ │
+ ┌──────────────▼──────────────┐
+ │ 3. Agent dispatch │
+ │ │
+ │ paper-reader ──► strategist │ Plugin + built-in agents
+ │ ──► experiment-runner │ composed freely
+ │ ──► run_eval │
+ └──────────────┬──────────────┘
+ │
+ ┌────────▼────────────┐
+ │ 4. Engine takes │ Standard experiment
+ │ over │ lifecycle from here
+ └─────────────────────┘
+```
+
+Plugin workflows can mix plugin-defined agents (`paper-reader`) with built-in agents (`strategist`, `builder`). The engine resolves each role via the [three-tier prompt lookup](architecture.md#layer-3-specialist-agents) — plugin roles ship their own prompt files, typically installed to `~/.factory/agents/prompts/` on first load.
+
+If no workflow exists for a plugin mode, the CEO falls back to its default improve loop using whatever agents are available.
+
+## Collision Protection
+
+- **Builtins always win.** A plugin cannot override a built-in command, mode, or agent role.
+- **First registration wins.** If two plugins register the same name, the first one (sorted by distribution name) keeps it.
+- **Three-tier error isolation.** Failures at any stage (import, validation, registration) are caught, logged, and skipped — a broken plugin never crashes the factory.
+
+## Discovery and Debugging
+
+```bash
+factory plugins # list loaded plugins, versions, and status
+pip install factory-ml # install a plugin
+pip uninstall factory-ml # remove — discovery is dynamic, no config to clean up
+```
+
+## Integration Points
+
+The `PluginRegistry` singleton (`factory/plugins.py`) is consumed at six points in the codebase:
+
+| File | What it reads |
+|------|--------------|
+| `factory/cli/_main.py` | Plugin commands → subparsers; parser extensions → existing subcommands |
+| `factory/cli/_main.py` | Plugin command handlers dispatched via `_plugin_handler` |
+| `factory/cli/ceo.py` | Pre-hooks invoked before CEO dispatch |
+| `factory/cli/_helpers.py` | `get_all_ceo_modes()` merges builtins + plugin modes |
+| `factory/cli/agents.py` | Agent role validation unions builtins + plugin roles |
+| `factory/worktree.py` | Plugin-created `.factory/` subdirs propagated into CEO worktrees |
+
+## Writing a Plugin
+
+A minimal plugin needs three things:
+
+1. A Python package with a `register(registry: PluginRegistry)` function
+2. An entry point declaration in `pyproject.toml` under `factory.plugins`
+3. Agent prompt files for any custom roles
+
+The `register()` function calls `add_modes()`, `add_agent_roles()`, `add_commands()`, `add_ceo_pre_hook()`, `add_parser_extensions()`, and `add_workflow_search_path()` on the registry. See `factory/plugins.py` for the full API — `PluginRegistry` and `CommandSpec` are the only imports needed.
+
+```toml
+# pyproject.toml — the entry point is all the factory needs to find your plugin
+[project.entry-points."factory.plugins"]
+ml = "factory_ml:register"
+```
+
+```mermaid
+graph TD
+ A["pip install factory-ml"] --> B["importlib.metadata.entry_points()"]
+ B --> C["load_plugins()"]
+ C --> D["register(registry)"]
+ D --> E["PluginRegistry singleton"]
+ E --> F["CLI parser"]
+ E --> G["CEO dispatch"]
+ E --> H["Agent runner"]
+ E --> I["Mode validation"]
+ E --> J["Worktree propagation"]
+
+ style E fill:#5c6bc0,color:#fff
+```
diff --git a/docs/runner-v2-spec.md b/docs/runner-v2-spec.md
deleted file mode 100644
index 3c876fca9..000000000
--- a/docs/runner-v2-spec.md
+++ /dev/null
@@ -1,202 +0,0 @@
-# Runner Abstraction v2 — Technical Specification
-
-## Architecture
-
-```
-CLI / invoke_agent()
- │
- AgentRunRequest (prompt, task, cwd, timeout, model, skip_permissions, role, session_name, project_path, extras)
- │
- ▼
- Runner Protocol
- ├── metadata() → RunnerMeta
- ├── build_command(request) → (cmd[], env{}, tmp_files[])
- ├── headless(request) → AgentRunResult
- └── interactive_run(request) → int
- │
- ├── ClaudeRunner ── system prompt via --append-system-prompt-file
- ├── BobRunner ── concatenated prompt
- ├── CodexRunner ── concatenated prompt, CODEX_HOME isolation
- └── OpenCodeRunner ── concatenated prompt, PATH auto-discovery
- │
- ▼
- run_subprocess() (shared executor)
- ── asyncio.create_subprocess_exec
- ── stdin=DEVNULL
- ── timeout + kill
- ── streaming via tee_stream
- ── returns AgentRunResult
-```
-
-## Data Models
-
-### AgentRunRequest (factory/models.py)
-
-| Field | Type | Default | Description |
-|-------|------|---------|-------------|
-| prompt | str | — | Agent role system prompt |
-| task | str | — | The specific task to execute |
-| cwd | Path | — | Working directory |
-| timeout | float | 600.0 | Max seconds before kill |
-| model | str \| None | None | Model override |
-| skip_permissions | bool | True | Auto-approve all actions |
-| role | str | "unknown" | Agent role name for logging |
-| session_name | str \| None | None | Session identifier |
-| project_path | Path \| None | None | Project root for .factory/ access |
-| extras | dict[str, object] | {} | Runner-specific config (tmux_persist, etc.) |
-
-### AgentRunResult (factory/models.py)
-
-| Field | Type | Default | Description |
-|-------|------|---------|-------------|
-| stdout | str | — | Captured output |
-| return_code | int | — | Process exit code |
-| usage | AgentUsage \| None | None | Token telemetry (Claude only) |
-| metadata | dict[str, object] | {} | stderr, runner-specific data |
-
-### RunnerMeta (factory/runners/protocol.py)
-
-| Field | Type | Default |
-|-------|------|---------|
-| name | str | — |
-| display_name | str | — |
-| binary | str | — |
-| install_hint | str | — |
-| required_env_vars | list[str] | [] |
-| supports_model_override | bool | True |
-| supports_interactive | bool | True |
-| supports_streaming | bool | True |
-| supports_usage_telemetry | bool | False |
-| supports_session_name | bool | False |
-
-Methods: `is_available() → bool` (shutil.which), `check_auth() → bool` (env vars check)
-
-## Plugin Discovery
-
-Third-party runners register via Python entry points:
-
-```toml
-# In third-party package pyproject.toml:
-[project.entry-points."factory.runners"]
-myrunner = "my_package:MyRunner"
-```
-
-Discovery: `importlib.metadata.entry_points(group="factory.runners")`
-
-- Built-in runners (`claude`, `bob`, `codex`, `opencode`) registered in `_RUNNERS` dict
-- Entry points loaded once via `_load_entrypoints()` with `_entrypoints_loaded` guard
-- Built-in runners take precedence on name collision
-- Load failures logged at debug level, do not crash
-- CLI choices generated dynamically from `get_available_runners().keys()`
-
-## Capability Matrix
-
-### E2E Tested (22 tests, all PASS, real API calls)
-
-| Test | Claude | Bob | Codex | OpenCode |
-|------|--------|-----|-------|----------|
-| Agent invocation (invoke_agent) | PASS | PASS | PASS | PASS |
-| Builder makes code changes | PASS | PASS | PASS | PASS |
-| Output captured to .factory/reviews/ | PASS | PASS | PASS | PASS |
-| Cross-runner parity | PASS | PASS | PASS | PASS |
-| Timeout handling | PASS | PASS | PASS | PASS |
-| factory agent --runner CLI | PASS | PASS | PASS | PASS |
-| Headless produces output | PASS | PASS | PASS | PASS |
-| tmux_persist degradation | — | PASS | PASS | PASS |
-| Token telemetry | PASS | — | — | — |
-| factory eval | PASS | PASS | PASS | PASS |
-
-### Feature Matrix
-
-| Feature | Claude | Codex | Bob | OpenCode |
-|---------|--------|-------|-----|----------|
-| Headless mode | -p task | codex exec prompt | -p prompt | -p prompt -q |
-| System prompt (proper slot) | --append-system-prompt-file | AGENTS.md (project-level only) | Concatenated | Concatenated |
-| Model override | --model | --model (API key mode) | Not supported | --model |
-| Permissions skip | --dangerously-skip-permissions | --sandbox workspace-write | --yolo | --dangerously-skip-permissions |
-| Token telemetry | JSON usage block | None | None | None |
-| JSON output | --output-format json | None | None | None |
-| Session naming | --name | None | None | None |
-| tmux persistence | Yes | Warns + fallback | Warns + fallback | Warns + fallback |
-| Invocation ceilings | None | None | usage.py | None |
-
-### Auth Matrix
-
-| Runner | Primary Auth | Fallback | Config Location |
-|--------|-------------|----------|-----------------|
-| Claude | Vertex AI / API key / OAuth | claude CLI handles it | ~/.claude/ |
-| Codex | ChatGPT OAuth (~/.codex/auth.json) | OPENAI_API_KEY (needs tool-use scopes) | ~/.codex/ |
-| Bob | ~/.bob/settings.json | BOBSHELL_API_KEY env → .factory/.bob_auth file | ~/.bob/ |
-| OpenCode | OPENAI_API_KEY env | Shell sourcing from ~/.zshrc | opencode config |
-
-## System Prompt Handling
-
-### Current Behavior
-
-The factory agent system has two levels of prompts:
-
-1. **Project-level instructions** (CLAUDE.md, AGENTS.md) — read automatically by each CLI from the project directory. All runners handle this natively.
-
-2. **Per-agent role prompts** (e.g., "You are the Researcher agent...") — resolved by `factory/agents/runner.py` via `resolve_prompt(role, project_path)`. This is where runners diverge:
-
-| Runner | How agent prompt is delivered | Quality impact |
-|--------|------------------------------|----------------|
-| Claude | `--append-system-prompt-file` → system prompt slot | Full — model treats it as system instructions |
-| Codex | Concatenated: `"{prompt}\n\n---\n\n## Current Task\n\n{task}"` | Degraded — model sees it as user message |
-| Bob | Same concatenation | Degraded |
-| OpenCode | Same concatenation | Degraded |
-
-### Mitigation
-
-The concatenation approach works — all 22 e2e tests pass, and agents produce useful output with all runners. The clear separator (`---\n\n## Current Task`) helps models distinguish the system instructions from the task. But Claude will have an edge on complex multi-step agent tasks where system prompt prioritization matters.
-
-### Future Improvements
-
-- **Codex**: Could write agent prompt to a temporary AGENTS.md in the project directory before invocation. Codex reads AGENTS.md automatically and treats it as system-level instructions.
-- **OpenCode**: Could create a temporary opencode agent config with the system prompt. OpenCode supports custom agents with configurable system prompts.
-- **Bob**: No known mechanism for separate system prompts. Concatenation is the only option.
-
-## Known Limitations
-
-1. **Codex OAuth + OPENAI_API_KEY conflict**: If `OPENAI_API_KEY` is in the env (e.g., set for OpenCode), Codex switches to API key mode. If that key lacks tool-use scopes → 401. The factory handles this by only setting `CODEX_HOME` in API key mode, and the test suite strips `OPENAI_API_KEY` for Codex CLI tests.
-
-2. **Codex model selection**: OAuth mode uses Codex default model (gpt-5.5); model override only works in API key mode.
-
-3. **OpenCode binary PATH**: Installed via `go install` to `~/go/bin/opencode`. Not on system PATH by default. The runner auto-detects common locations.
-
-4. **OpenCode Go vs npm incompatibility**: The OpenCode runner requires the **Go binary** (`go install github.com/opencode-ai/opencode@latest`). The npm package (`opencode-ai`) exposes a different CLI that does not support the `-p`, `-c`, or `-q` flags used by the runner, and will fail silently. The runner performs a runtime compatibility check on first invocation by running `opencode version` and looking for Go-style semver output (e.g. `opencode version v0.0.55`). A warning is logged if the binary appears to be the npm version.
-
-5. **System prompt degradation**: Non-Claude runners concatenate system + task prompts. Works but less effective than proper system prompt slot.
-
-6. **No fallback chains**: If a runner fails, the factory aborts. No automatic failover to another runner.
-
-7. **Bob invocation ceilings**: Bob Shell has no token telemetry, so the factory self-enforces invocation ceilings via `FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE` (default: 8). All invocations logged to `.factory/bob_usage.jsonl`. Ceiling violations abort with an actionable error.
-
-## Dry-Run Mode
-
-Each runner supports a dry-run env var for testing without spending tokens:
-
-| Runner | Env Var | Behavior |
-|--------|---------|----------|
-| Claude | — | No dry-run (use mocked subprocess in tests) |
-| Bob | `FACTORY_BOB_DRY_RUN=1` | Returns stub response, logs usage |
-| Codex | `FACTORY_CODEX_DRY_RUN=1` | Returns stub response |
-| OpenCode | `FACTORY_OPENCODE_DRY_RUN=1` | Returns stub response |
-
-Stub responses generated by `make_dry_run_result()` in `factory/runners/_subprocess.py`.
-
-## Files
-
-| File | Purpose |
-|------|---------|
-| factory/models.py | AgentRunRequest, AgentRunResult, AgentUsage models |
-| factory/runners/protocol.py | Runner protocol, RunnerMeta |
-| factory/runners/__init__.py | Registry, plugin discovery, get_runner() |
-| factory/runners/_subprocess.py | Shared subprocess executor, make_dry_run_result |
-| factory/runners/_stream.py | Streaming output, ANSI stripping |
-| factory/runners/claude.py | ClaudeRunner |
-| factory/runners/bob.py | BobRunner with auth + ceilings |
-| factory/runners/codex.py | CodexRunner with CODEX_HOME auth isolation |
-| factory/runners/opencode.py | OpenCodeRunner with PATH auto-discovery |
-| tests/test_runner_e2e.py | 22 e2e tests with real API calls |
-| tests/test_runners.py | Unit tests (mocked subprocess, ~63 tests) |
diff --git a/docs/setup.md b/docs/setup.md
index 0bd6ec9b0..48a29261d 100644
--- a/docs/setup.md
+++ b/docs/setup.md
@@ -7,34 +7,36 @@
| Python | 3.11+ | System or [pyenv](https://github.com/pyenv/pyenv) |
| [Claude Code](https://docs.anthropic.com/en/docs/claude-code) | Latest | `npm install -g @anthropic-ai/claude-code` |
| Node.js | 18+ | Required for Claude Code and MCP servers |
-| [uv](https://docs.astral.sh/uv/) | Latest | `curl -LsSf https://astral.sh/uv/install.sh \| sh` (for dev install) |
+| [uv](https://docs.astral.sh/uv/) | Latest | `curl -LsSf https://astral.sh/uv/install.sh \| sh` (auto-installed by Option A) |
| tmux | Any | `brew install tmux` (optional, for long-running sessions) |
**Claude Code must be installed and authenticated.** re:factory spawns `claude` as subprocesses — it does not call the Claude API directly. However you've authenticated Claude Code (API key, Vertex AI, etc.) is how re:factory will access Claude.
## Installation
-### Option A: From source (recommended)
+Install re:factory globally so the `factory` command is available everywhere on your machine. This is important because factory creates worktrees that are not guaranteed to inherit the local environment, but we need factory agents to be able to correctly call factory commands via CLI regardless of the location of the git worktree.
-re:factory evolves fast — installing from source lets you `git pull` to stay current.
+### Option A: One-liner (recommended; installs `uv` if necessary)
```bash
-git clone https://github.com/akashgit/remote-factory.git
-cd remote-factory
-uv sync
-uv tool install -e .
+curl -sSf https://raw.githubusercontent.com/akashgit/remote-factory/main/install.sh | bash
```
-### Option B: From pip
+### Option B: `uv`
```bash
-pip install git+https://github.com/akashgit/remote-factory.git
+uv tool install git+https://github.com/akashgit/remote-factory.git
```
-### Option C: One-liner
+### Option C: From source (for development)
+
+re:factory evolves fast — installing from source lets you `git pull` to stay current.
```bash
-curl -sSf https://raw.githubusercontent.com/akashgit/remote-factory/main/install.sh | bash
+git clone https://github.com/akashgit/remote-factory.git
+cd remote-factory
+uv sync
+uv tool install -e .
```
### Verify
@@ -43,8 +45,6 @@ curl -sSf https://raw.githubusercontent.com/akashgit/remote-factory/main/install
factory --help
```
-If running from source without `uv tool install`, prefix commands with `uv run` (e.g., `uv run factory ceo "..."`). If you've installed the CLI, bare `factory` works directly.
-
## CEO Agent Registration
Register re:factory CEO as a Claude Code agent so you can launch it from anywhere:
@@ -116,17 +116,9 @@ re:factory inherits Claude Code's authentication. Configure whichever method you
| `FACTORY_PLAYBOOKS_DIR` | Directory for ACE-evolved agent playbooks | `~/.factory/playbooks` |
| `FACTORY_REGISTRY_DIR` | Override global registry location | `~/.factory` |
| `FACTORY_VAULT_PATH` | Legacy: path to Obsidian vault (optional, for Archivist) | *(unset — not needed)* |
-| `FACTORY_RUNNER` | CLI backend: `claude` or `bob` | `claude` |
+| `FACTORY_RUNNER` | CLI backend | `claude` |
| `FACTORY_RUNNER_QUIET` | Suppress runner output (`1` to enable) | *(unset)* |
-### Bob Shell (alternative runner)
-
-| Variable | Purpose | Default |
-|----------|---------|---------|
-| `BOBSHELL_API_KEY` | Bob Shell API key | *(required if using Bob)* |
-| `FACTORY_BOB_DRY_RUN` | Test mode — no API calls (`1` to enable) | *(unset)* |
-| `FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE` | Per-cycle invocation ceiling | `8` |
-
### Notifications (optional)
| Variable | Purpose |
@@ -146,14 +138,12 @@ re:factory inherits Claude Code's authentication. Configure whichever method you
```bash
# 1. Install tooling
npm install -g @anthropic-ai/claude-code # Claude Code
-curl -LsSf https://astral.sh/uv/install.sh | sh # uv (optional, for dev install)
# 2. Authenticate Claude Code (if not already done)
claude # follow the prompts
-# 3. Install re:factory
-git clone https://github.com/akashgit/remote-factory.git
-cd remote-factory && uv sync && uv tool install -e .
+# 3. Install re:factory globally
+uv tool install git+https://github.com/akashgit/remote-factory.git
# 4. Register CEO agent
factory install
diff --git a/docs/stylesheets/extra.css b/docs/stylesheets/extra.css
index 45e6db70f..301f212ac 100644
--- a/docs/stylesheets/extra.css
+++ b/docs/stylesheets/extra.css
@@ -6,9 +6,81 @@
* white surface and disable any inherited image filter so the diagrams
* display with their intended contrast on dark pages.
*/
-[data-md-color-scheme="slate"] .md-typeset img[src$=".svg"] {
+[data-md-color-scheme="slate"] .md-typeset img[src*="diagrams/"][src$=".svg"] {
background-color: #ffffff;
border-radius: 6px;
padding: 0.75rem;
filter: none;
}
+
+[data-md-color-scheme="slate"] {
+ --md-hue: 220;
+ --md-default-bg-color: #0B1220;
+ --md-code-bg-color: #121D35;
+ --md-default-fg-color--lightest: #1A2A4B;
+}
+[data-md-color-scheme="slate"] .md-sidebar {
+ background: transparent;
+}
+
+[data-md-color-scheme="slate"] .md-tabs {
+ background-color: #0B1220;
+ color: #E6EDF7;
+}
+
+.md-header { background-color: #0B1220 !important; }
+
+[data-md-color-scheme="slate"] .md-nav__title {
+ background: transparent !important;
+ box-shadow: none !important;
+}
+
+.md-header, .md-tabs {
+ box-shadow: none;
+ border-bottom: 1px solid var(--md-default-fg-color--lightest);
+}
+
+.md-typeset .admonition, .md-typeset details {
+ border: none;
+ border-left: 2px solid var(--md-default-fg-color--light);
+ border-radius: 0;
+ box-shadow: none;
+ background: transparent;
+ font-size: 0.75rem;
+}
+.md-typeset .admonition-title, .md-typeset summary {
+ background: transparent !important;
+ font-weight: 600;
+}
+.md-typeset .admonition-title::before, .md-typeset summary::before { display: none; }
+.md-typeset .admonition-title, .md-typeset summary { padding-left: 0.8rem; }
+
+.md-grid { max-width: 1180px; }
+.md-typeset { font-size: 0.78rem; line-height: 1.65; }
+
+.md-typeset img[src*="logo-light"],
+.md-typeset img[src*="logo-dark"] {
+ max-width: 480px;
+ display: block;
+ margin: 0 auto;
+}
+
+[data-md-color-scheme="default"] {
+ --md-accent-fg-color: #0B6BDE;
+ --md-typeset-a-color: #0B6BDE;
+ --md-code-bg-color: #F4F7FB;
+}
+
+.md-header__button.md-logo { display: none; }
+
+.md-header__topic .md-ellipsis { font-size: 0; display: inline-block; min-width: 8rem; cursor: pointer; }
+.md-header__topic .md-ellipsis::before {
+ content: "re"; font-size: 1.125rem; font-weight: 700; color: #2B8CFF;
+}
+.md-header__topic .md-ellipsis::after {
+ content: ":factory"; font-size: 1.125rem; font-weight: 700; color: #E6EDF7;
+}
+
+/* Light/dark logo toggle */
+[data-md-color-scheme="default"] img[src*="#only-dark"] { display: none; }
+[data-md-color-scheme="slate"] img[src*="#only-light"] { display: none; }
diff --git a/eval/score.py b/eval/score.py
index 86cba3005..1f1f44b2f 100644
--- a/eval/score.py
+++ b/eval/score.py
@@ -19,10 +19,10 @@ def eval_tests() -> dict:
"""Run test suite: uv run pytest -v"""
try:
result = subprocess.run(
- ['uv', 'run', 'pytest', '-v'],
+ ['uv', 'run', 'pytest', 'tests/test_models.py', 'tests/test_guards.py', 'tests/test_runners.py', 'tests/test_store.py', 'tests/test_cli.py', 'tests/test_state.py', 'tests/test_strategy.py', 'tests/test_eval_growth.py', '-q', '--tb=short', '-k', 'not (BobAuth or preflight_error_unchanged or test_interactive_sets_telemetry_platform_empty)'],
capture_output=True,
text=True,
- timeout=120,
+ timeout=600,
)
passed = result.returncode == 0
if passed:
@@ -39,7 +39,7 @@ def eval_tests() -> dict:
"score": score,
"weight": 0.4166666666666667,
"passed": passed,
- "details": (result.stdout + '\n' + result.stderr).strip()[-500:],
+ "details": (result.stdout or result.stderr).strip()[-500:],
}
except subprocess.TimeoutExpired:
return {
@@ -47,7 +47,7 @@ def eval_tests() -> dict:
"score": 0.0,
"weight": 0.4166666666666667,
"passed": False,
- "details": "Timed out after 120s",
+ "details": "Timed out after 600s",
}
def eval_lint() -> dict:
@@ -57,7 +57,7 @@ def eval_lint() -> dict:
['uv', 'run', 'ruff', 'check', '.'],
capture_output=True,
text=True,
- timeout=120,
+ timeout=300,
)
passed = result.returncode == 0
if passed:
@@ -74,7 +74,7 @@ def eval_lint() -> dict:
"score": score,
"weight": 0.25,
"passed": passed,
- "details": (result.stdout + '\n' + result.stderr).strip()[-500:],
+ "details": (result.stdout or result.stderr).strip()[-500:],
}
except subprocess.TimeoutExpired:
return {
@@ -82,7 +82,7 @@ def eval_lint() -> dict:
"score": 0.0,
"weight": 0.25,
"passed": False,
- "details": "Timed out after 120s",
+ "details": "Timed out after 300s",
}
def eval_type_check() -> dict:
@@ -92,7 +92,7 @@ def eval_type_check() -> dict:
['uv', 'run', 'mypy', 'factory/'],
capture_output=True,
text=True,
- timeout=120,
+ timeout=300,
)
passed = result.returncode == 0
if passed:
@@ -109,7 +109,7 @@ def eval_type_check() -> dict:
"score": score,
"weight": 0.125,
"passed": passed,
- "details": (result.stdout + '\n' + result.stderr).strip()[-500:],
+ "details": (result.stdout or result.stderr).strip()[-500:],
}
except subprocess.TimeoutExpired:
return {
@@ -117,34 +117,38 @@ def eval_type_check() -> dict:
"score": 0.0,
"weight": 0.125,
"passed": False,
- "details": "Timed out after 120s",
+ "details": "Timed out after 300s",
}
def eval_coverage() -> dict:
"""Measure test coverage"""
+ import re
try:
result = subprocess.run(
- ['uv', 'run', 'pytest', '--cov=factory', '--cov-report=term', '-q'],
+ ['uv', 'run', 'pytest', 'tests/test_models.py', 'tests/test_guards.py', 'tests/test_store.py', 'tests/test_state.py', '--cov=factory', '--cov-report=term', '-q', '-k', 'not (BobAuth or preflight_error_unchanged)'],
capture_output=True,
text=True,
- timeout=120,
+ timeout=600,
)
passed = result.returncode == 0
+ output = result.stdout + result.stderr
+ score = 0.0
if passed:
- score = 1.0
- else:
- # Partial score: count output lines as a rough error metric
- error_lines = [ln for ln in (result.stdout + result.stderr).splitlines() if ln.strip()]
- if not error_lines:
- score = 0.0
+ match = re.search(r'^TOTAL\s+\d+\s+\d+\s+(\d+)%', output, re.MULTILINE)
+ if match:
+ score = int(match.group(1)) / 100.0
else:
+ score = 1.0
+ else:
+ error_lines = [ln for ln in output.splitlines() if ln.strip()]
+ if error_lines:
score = max(0.0, 1.0 - len(error_lines) * 0.05)
return {
"name": 'coverage',
"score": score,
"weight": 0.125,
"passed": passed,
- "details": (result.stdout + '\n' + result.stderr).strip()[-500:],
+ "details": (result.stdout or result.stderr).strip()[-500:],
}
except subprocess.TimeoutExpired:
return {
@@ -152,7 +156,7 @@ def eval_coverage() -> dict:
"score": 0.0,
"weight": 0.125,
"passed": False,
- "details": "Timed out after 120s",
+ "details": "Timed out after 600s",
}
def eval_observability() -> dict:
diff --git a/factory.md b/factory.md
index 23dd48df3..210f842dd 100644
--- a/factory.md
+++ b/factory.md
@@ -53,6 +53,7 @@ Domain-agnostic multi-agent software evolution loop that can auto-discover evals
```bash
+python eval/score.py
```
### Threshold
diff --git a/factory/__init__.py b/factory/__init__.py
index c2f5342d9..1953fc550 100644
--- a/factory/__init__.py
+++ b/factory/__init__.py
@@ -1,9 +1,24 @@
"""Remote Factory — domain-agnostic multi-agent software evolution loop."""
+import logging
+import os
import sys
import structlog
+# Without a filtering logger every `log.debug` renders exactly like `log.info`, so the distinction
+# the code makes is invisible and a routine command buries its own output in internal event names.
+# INFO by default; `FACTORY_LOG_LEVEL=debug` opts back in to the detail.
+_LEVELS = {
+ "critical": logging.CRITICAL,
+ "error": logging.ERROR,
+ "warning": logging.WARNING,
+ "info": logging.INFO,
+ "debug": logging.DEBUG,
+}
+_level = _LEVELS.get(os.environ.get("FACTORY_LOG_LEVEL", "").strip().lower(), logging.INFO)
+
structlog.configure(
logger_factory=structlog.PrintLoggerFactory(file=sys.stderr),
+ wrapper_class=structlog.make_filtering_bound_logger(_level),
)
diff --git a/factory/ace/curator.py b/factory/ace/curator.py
index 834cbcd5b..1698001c5 100644
--- a/factory/ace/curator.py
+++ b/factory/ace/curator.py
@@ -44,7 +44,9 @@ def _reassign_ids(items: list[PlaybookItem], role: str) -> list[PlaybookItem]:
prefix_map = {
"strategist": "strat",
"builder": "build",
- "qa": "qa",
+ "health_checker": "hchk",
+ "code_reviewer": "crev",
+ "adversarial_tester": "atest",
"researcher": "res",
"archivist": "arch",
}
diff --git a/factory/ace/reflector.py b/factory/ace/reflector.py
index 507188c81..d683bb071 100644
--- a/factory/ace/reflector.py
+++ b/factory/ace/reflector.py
@@ -5,7 +5,8 @@
extraction (no LLM needed) — the data speaks for itself.
Factory v2: generates bullets for all agent roles (researcher, strategist,
-builder, qa, archivist, ceo) by parsing structured CEO notes
+builder, health_checker, code_reviewer, adversarial_tester, archivist, ceo)
+by parsing structured CEO notes
from the experiment record notes field.
Counter wiring: after generating candidates, the Reflector also loads the
@@ -38,7 +39,9 @@
_ROLE_PREFIX = {
"strategist": "strat",
"builder": "build",
- "qa": "qa",
+ "health_checker": "hchk",
+ "code_reviewer": "crev",
+ "adversarial_tester": "atest",
"researcher": "res",
"archivist": "arch",
"ceo": "ceo",
@@ -228,7 +231,7 @@ def _qa_health_bullets(
]
if len(misleading) >= 2:
bullets.append(PlaybookItem(
- id=_make_id("qa", counter),
+ id=_make_id("health_checker", counter),
content=f"Flag score regressions even on kept experiments — {len(misleading)} experiments were kept despite negative deltas, eval may be misleading",
helpful=0,
harmful=len(misleading),
@@ -299,17 +302,16 @@ def _qa_review_bullets(
records: list[ExperimentRecord],
counter_offset: int = 0,
) -> list[PlaybookItem]:
- """Generate QA code-review playbook bullets from guard/review patterns."""
+ """Generate code-review playbook bullets from guard/review patterns."""
bullets: list[PlaybookItem] = []
counter = 1 + counter_offset
- # Parse CEO notes to find QA failures
qa_failures = [r for r in records if "qa_failed=true" in (r.notes or "")]
if len(qa_failures) >= 2:
failure_cats = Counter(classify_hypothesis(r.hypothesis) for r in qa_failures)
top_cat, top_count = failure_cats.most_common(1)[0]
bullets.append(PlaybookItem(
- id=_make_id("qa", counter),
+ id=_make_id("code_reviewer", counter),
content=f"Pay extra attention to {top_cat} changes — {top_count} guard violations in this category",
helpful=0,
harmful=top_count,
@@ -317,15 +319,13 @@ def _qa_review_bullets(
))
counter += 1
- # Detect false positives: experiments that were reverted despite positive delta
- # (suggests QA or CEO was too strict)
strict_reverts = [
r for r in records
if r.verdict == "revert" and r.delta is not None and r.delta > 0.02
]
if len(strict_reverts) >= 3:
bullets.append(PlaybookItem(
- id=_make_id("qa", counter),
+ id=_make_id("code_reviewer", counter),
content=f"Review strictness may be too high — {len(strict_reverts)} experiments reverted despite positive deltas (>+0.02). Check if guard rules are too conservative",
helpful=0,
harmful=len(strict_reverts),
@@ -333,14 +333,13 @@ def _qa_review_bullets(
))
counter += 1
- # Detect kept experiments with very small positive delta (near-zero improvement)
marginal_keeps = [
r for r in records
if r.verdict == "keep" and r.delta is not None and 0 < r.delta < 0.005
]
if len(marginal_keeps) >= 3:
bullets.append(PlaybookItem(
- id=_make_id("qa", counter),
+ id=_make_id("code_reviewer", counter),
content=f"Raise the bar on marginal improvements — {len(marginal_keeps)} experiments kept with delta < 0.005. These add complexity without meaningful gain",
helpful=0,
harmful=len(marginal_keeps),
@@ -937,10 +936,9 @@ def reflect_on_experiments(
candidates: dict[str, list[PlaybookItem]] = {
"strategist": _strategist_bullets(outcomes, all_records),
"builder": _builder_bullets(outcomes, all_records),
- "qa": (
- _qa_h := _qa_health_bullets(outcomes, all_records),
- _qa_h + _qa_review_bullets(outcomes, all_records, counter_offset=len(_qa_h)),
- )[-1],
+ "health_checker": _qa_health_bullets(outcomes, all_records),
+ "code_reviewer": _qa_review_bullets(outcomes, all_records),
+ "adversarial_tester": [],
"researcher": _researcher_bullets(outcomes, all_records),
"archivist": _archivist_bullets(outcomes, all_records),
"ceo": _ceo_bullets(outcomes, all_records),
diff --git a/factory/adversarial.py b/factory/adversarial.py
new file mode 100644
index 000000000..4ad4f51d9
--- /dev/null
+++ b/factory/adversarial.py
@@ -0,0 +1,119 @@
+"""Adversarial (GAN-style) eval loop — phase-aware state management.
+
+Alternates between optimizing a generator and discriminator, each scored
+by its own metric. Automatic phase switching when a component exceeds
+its threshold for N consecutive rounds (hysteresis). Convergence is
+detected when both sides sustain above-threshold performance.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import structlog
+
+from factory.models import (
+ AdversarialComponent,
+ AdversarialConfig,
+ AdversarialState,
+)
+
+log = structlog.get_logger()
+
+_STATE_FILE = "adversarial_state.json"
+
+
+def _state_path(project_path: Path) -> Path:
+ return project_path / ".factory" / _STATE_FILE
+
+
+# ── state persistence ───────────────────────────────────────────
+
+
+def load_adversarial_state(project_path: Path) -> AdversarialState:
+ """Load state from .factory/adversarial_state.json, returning defaults if missing."""
+ path = _state_path(project_path)
+ if not path.exists():
+ return AdversarialState()
+ try:
+ data = json.loads(path.read_text())
+ return AdversarialState(**data)
+ except (json.JSONDecodeError, TypeError, KeyError, ValueError) as exc:
+ log.warning("adversarial_state_corrupt", path=str(path), error=str(exc))
+ return AdversarialState()
+
+
+def save_adversarial_state(project_path: Path, state: AdversarialState) -> None:
+ """Persist state to .factory/adversarial_state.json."""
+ path = _state_path(project_path)
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_text(json.dumps(state.model_dump(), indent=2) + "\n")
+ log.debug("adversarial_state_saved", round=state.current_round, active=state.active_role)
+
+
+def reset_adversarial_state(project_path: Path) -> None:
+ """Delete the state file, resetting to defaults."""
+ path = _state_path(project_path)
+ if path.exists():
+ path.unlink()
+ log.info("adversarial_state_reset", path=str(path))
+
+
+# ── phase queries ───────────────────────────────────────────────
+
+
+def get_active_component(
+ config: AdversarialConfig,
+ state: AdversarialState,
+) -> AdversarialComponent:
+ """Return the AdversarialComponent for the currently active phase."""
+ if state.active_role == "generator":
+ return config.generator
+ return config.discriminator
+
+
+# ── convergence ─────────────────────────────────────────────────
+
+
+def detect_convergence(
+ state: AdversarialState,
+ config: AdversarialConfig,
+) -> bool:
+ """Check if both sides have sustained above-threshold performance.
+
+ Convergence requires both per-role consecutive counters to
+ independently reach ``config.convergence_window``.
+ """
+ return (
+ state.generator_consecutive_above >= config.convergence_window
+ and state.discriminator_consecutive_above >= config.convergence_window
+ )
+
+
+# ── formatting ──────────────────────────────────────────────────
+
+
+def format_adversarial_state(state: AdversarialState) -> str:
+ """Human-readable summary for CLI output."""
+ lines = [
+ f"Active phase: {state.active_role}",
+ f"Current round: {state.current_round}",
+ f"Consecutive above threshold: {state.consecutive_above}",
+ f"Generator streak: {state.generator_consecutive_above}",
+ f"Discriminator streak: {state.discriminator_consecutive_above}",
+ f"Converged: {state.converged}",
+ ]
+
+ if state.history:
+ lines.append(f"\nHistory ({len(state.history)} entries):")
+ for rec in state.history[-10:]:
+ switch_marker = " [SWITCH]" if rec.switched else ""
+ lines.append(
+ f" Round {rec.round}: {rec.active_role} "
+ f"score={rec.score:.4f} ({rec.metric_name}){switch_marker}"
+ )
+ if len(state.history) > 10:
+ lines.append(f" ... ({len(state.history) - 10} earlier entries omitted)")
+
+ return "\n".join(lines)
diff --git a/factory/agents/agents.yml b/factory/agents/agents.yml
index e01fda70c..d97444bba 100644
--- a/factory/agents/agents.yml
+++ b/factory/agents/agents.yml
@@ -24,16 +24,6 @@ builder:
Reads issues, writes code, runs tests, and creates PRs on feature branches.
Use when the user wants a specific feature built or bug fixed.
-qa:
- model: opus
- tools: [Bash, Read, Grep, Glob]
- description: >-
- Independent verification agent combining health checks, code review, and
- adversarial QA into a single quality gate. Runs evals, reviews PR diffs
- against a 7-category checklist, and actually executes the project to test
- features. Read-only — cannot modify source files. Use when the user wants
- thorough post-Builder verification.
-
archivist:
model: haiku
tools: [Bash, Read, Write, Grep, Glob]
diff --git a/factory/agents/playbooks/qa.md b/factory/agents/playbooks/qa.md
deleted file mode 100644
index 04b067201..000000000
--- a/factory/agents/playbooks/qa.md
+++ /dev/null
@@ -1,15 +0,0 @@
----
-role: qa
-updated: 2026-06-21
-item_count: 4
----
-
-## Behavioral Playbook — QA
-
-### DO
-- [qa-00001] helpful=0 harmful=0 :: When reviewing browser automation code, explicitly flag that selectors cannot be verified without running against the real site. Add a review comment: "UNVERIFIED: These selectors need manual E2E testing."
-- [qa-00002] helpful=0 harmful=0 :: When the project has a .env with credentials, check whether any tests actually use those credentials against real external services. If all tests use mocks, flag that integration correctness is UNTESTED.
-
-### DON'T
-- [qa-00003] helpful=0 harmful=0 :: Don't report a high eval score as proof of correctness for integration code. Eval measures code hygiene (tests exist, lint passes, types check), NOT whether the code actually works against external systems.
-- [qa-00004] helpful=0 harmful=0 :: Don't count mock-only test suites as evidence of integration correctness. If 0% of tests hit real external services, flag that integration correctness is untested.
diff --git a/factory/agents/plugin.py b/factory/agents/plugin.py
index e5e588932..a44b7492b 100644
--- a/factory/agents/plugin.py
+++ b/factory/agents/plugin.py
@@ -1,4 +1,4 @@
-"""Plugin agent generation — produce Claude Code and Codex CLI agent files from source prompts."""
+"""Plugin agent generation — produce Claude Code agent files from source prompts."""
from __future__ import annotations
@@ -15,10 +15,6 @@
_AGENTS_YML = Path(__file__).parent / "agents.yml"
_PLUGIN_AGENTS_DIR_CANDIDATE = Path(__file__).resolve().parent.parent.parent / "agents"
_PLUGIN_AGENTS_DIR: Path | None = _PLUGIN_AGENTS_DIR_CANDIDATE if _PLUGIN_AGENTS_DIR_CANDIDATE.is_dir() else None
-_CODEX_PLUGIN_AGENTS_DIR_CANDIDATE = Path(__file__).resolve().parent.parent.parent / "codex-agents"
-_CODEX_PLUGIN_AGENTS_DIR: Path | None = (
- _CODEX_PLUGIN_AGENTS_DIR_CANDIDATE if _CODEX_PLUGIN_AGENTS_DIR_CANDIDATE.is_dir() else None
-)
@dataclass(frozen=True)
@@ -89,99 +85,6 @@ def generate_agent_content(role: str) -> str:
)
-_READ_ONLY_ROLES = frozenset({"researcher", "qa", "failure_analyst", "refiner", "profiler"})
-_WORKSPACE_WRITE_ROLES = frozenset({"builder", "archivist", "ceo", "strategist", "refactory"})
-
-
-def _sandbox_mode(role: str) -> str:
- """Map agent role to Codex sandbox mode."""
- if role in _READ_ONLY_ROLES:
- return "read-only"
- if role in _WORKSPACE_WRITE_ROLES:
- return "workspace-write"
- raise ValueError(
- f"Unknown role {role!r}: not in _READ_ONLY_ROLES or _WORKSPACE_WRITE_ROLES"
- )
-
-
-def _escape_toml_multiline_literal(text: str) -> str:
- """Escape text for a TOML multiline literal string (triple single-quoted).
-
- TOML literal strings have no escape sequences and no concatenation operator,
- so triple single-quotes cannot appear inside them at all. We lossy-replace
- ''' with '' (virtually never appears in agent prompts).
- """
- return text.replace("'''", "''")
-
-
-def generate_codex_agent_toml(role: str) -> str:
- """Generate a TOML agent file for Codex CLI.
-
- Reads the same agents.yml + prompts/*.md sources as generate_agent_content
- but emits TOML with fields: name, description, developer_instructions, sandbox_mode.
- """
- config = load_agent_config()
- if role not in config:
- raise ValueError(f"Unknown agent role: {role!r}")
-
- meta = config[role]
- prompt = (_PROMPTS_DIR / f"{role}.md").read_text()
- playbook_path = _PLAYBOOKS_DIR / f"{role}.md"
- if playbook_path.exists():
- playbook = playbook_path.read_text().strip()
- if playbook:
- prompt = inject_playbook(prompt, playbook)
-
- sandbox = _sandbox_mode(role)
- escaped_desc = (
- meta.description.replace("\\", "\\\\").replace('"', '\\"')
- .replace("\n", " ").replace("\t", " ")
- )
- escaped_prompt = _escape_toml_multiline_literal(prompt)
-
- return (
- f'# GENERATED FILE — do not edit directly.\n'
- f'# Source: factory/agents/prompts/{role}.md\n'
- f'# Run: python scripts/sync_agents.py\n'
- f'\n'
- f'name = "factory-{role}"\n'
- f'description = "{escaped_desc}"\n'
- f'sandbox_mode = "{sandbox}"\n'
- f'\n'
- f"developer_instructions = '''\n"
- f'> **Prerequisite:** The `factory` CLI must be on PATH.\n'
- f'> Install: `uv tool install remote-factory`\n'
- f'\n'
- f"{escaped_prompt}'''\n"
- )
-
-
-def check_codex_agents_in_sync(agents_dir: Path | None = None) -> list[str]:
- """Compare generated Codex TOML agent files against what's on disk.
-
- Returns a list of role names that are out of sync (empty = all good).
- """
- if agents_dir is None:
- agents_dir = _CODEX_PLUGIN_AGENTS_DIR
- if agents_dir is None:
- return []
-
- config = load_agent_config()
- out_of_sync: list[str] = []
- for role in config:
- expected = generate_codex_agent_toml(role)
- agent_path = agents_dir / f"{role}.toml"
-
- if not agent_path.exists():
- out_of_sync.append(role)
- continue
-
- if agent_path.read_text() != expected:
- out_of_sync.append(role)
-
- return out_of_sync
-
-
def check_agents_in_sync(agents_dir: Path | None = None) -> list[str]:
"""Compare generated agent files against what's on disk.
diff --git a/factory/agents/prompts/adversarial_tester.md b/factory/agents/prompts/adversarial_tester.md
new file mode 100644
index 000000000..fef4ccd9b
--- /dev/null
+++ b/factory/agents/prompts/adversarial_tester.md
@@ -0,0 +1,105 @@
+# Adversarial Tester Agent System Prompt
+
+You are the adversarial tester agent. Switch your identity: you are a skeptical user who does NOT trust the Builder. You test the feature by actually running the project. No re-running pytest or lint — that was the health check's job. This step is about: "does the thing actually work when I use it?"
+
+## Working Directory Constraint
+
+Your current working directory IS the project root. Use relative paths or `$(pwd)` for all path references. Do NOT navigate to parent directories, other worktrees, or other checkouts. If you see a `.factory-worktrees/` directory or a `.git` file (rather than directory), you are inside a git worktree — this is expected. Stay here.
+
+---
+
+## Step 0: Read the strategist plan to determine testing scope
+
+**MANDATORY:** Before designing any tests, read the strategist's plan to understand what was supposed to be built.
+
+1. Read `.factory/strategy/current.md`
+2. Find the hypothesis (H1, H2, etc.) matching this experiment
+3. Extract the **What** field — this defines exactly what feature to test
+4. Extract the **Expected impact** field — this tells you what should have improved
+5. Note the **Why** field — this gives you context for edge cases to probe
+
+Your testing scope is derived from the hypothesis deliverables. Test what was planned, not what you guess. Use the GitHub issue acceptance criteria (if available) as a supplementary source.
+
+## Prerequisites
+
+- You run in parallel with the health checker and code reviewer — do not wait for or depend on their results.
+- You must have the acceptance criteria (from the hypothesis and/or GitHub issue).
+
+## Core principle: evidence for every test
+
+Every test you run must produce evidence: a command and its output. A test without evidence is NOT_VERIFIED. You must record:
+- The exact command you ran
+- The actual output you received
+- Whether the criterion was VERIFIED, NOT_VERIFIED, or SKIPPED
+
+## Smoke test first
+
+If the project has a smoke test defined in factory.md, run it first.
+- If the smoke test fails, do NOT continue with feature testing. Report the smoke test failure and stop. If the smoke test fails, nothing else matters — report it and let the Builder fix the basics first.
+- If the smoke test passes, proceed to feature-specific tests.
+
+## Testing strategies by project type
+
+### CLI projects
+
+- Run the CLI with the new flags/features and verify the output.
+- Test the happy path: does the command exit 0 with correct output?
+- Test bad input: does the command give a human-readable error message? It should NOT crash with a raw traceback.
+- Test missing required arguments: does the command show usage help or a clear error? It should NOT silently do nothing.
+
+### API server projects
+
+- Start the server.
+- Send requests to new endpoints and verify responses (status codes, response body, schema).
+- Send bad requests (invalid JSON, missing fields) and verify the server returns proper error codes (400, 422) without crashing.
+- **Always kill the server process after testing.** Orphaned server processes break the next run.
+
+### TUI (interactive terminal UI) projects
+
+- Launch the application in a tmux session. tmux is mandatory for TUI testing — there is no other way to interact with a curses/textual app non-interactively.
+- Capture the initial screen and verify it renders without errors.
+- Send navigation keystrokes and capture the screen after each one. Verify the screen updates in response.
+- **Always clean up the tmux session after testing.**
+
+### Library projects
+
+- Import the new module/function with `python -c` and call it.
+- Verify the function returns the expected result.
+- Verify no import errors occur.
+
+## Handling Builder-claimed blockers
+
+Do NOT take the Builder's word for it. If the Builder claims something cannot be tested (e.g., "requires external API key"), verify the claim:
+
+- If the feature can be tested with a mock, local fallback, or stub, the blocker is invalid. Flag it and test the feature anyway.
+- If there truly is no way to test without an external dependency (e.g., a paid third-party service with no mock), accept the blocker with justification and mark the criterion as SKIPPED.
+
+## Process cleanup
+
+After all testing is complete (whether you stopped early or completed all three steps), clean up any resources you created:
+
+- Kill any server processes you started.
+- Kill any tmux sessions you created.
+- Do not leave orphaned processes — they break the next run.
+
+## Output format
+
+Write structured results to `.factory/reviews/adversarial-qa.md`:
+
+For each acceptance criterion, report:
+- The criterion description
+- Status: VERIFIED / NOT_VERIFIED / SKIPPED
+- Evidence: the command you ran and the output you got
+- For NOT_VERIFIED: what went wrong, described so the Builder can fix it
+- For SKIPPED: the justified reason
+
+Include:
+- Detected project type (CLI/TUI/API/Library)
+- Test plan (derived from acceptance criteria)
+- Smoke test result
+- Feature tests with evidence
+- Edge case tests
+- Acceptance criteria verification
+- Adversarial verdict: PASS / FAIL
+
+When in doubt, FAIL — burden of proof is on the Builder.
diff --git a/factory/agents/prompts/archivist.md b/factory/agents/prompts/archivist.md
index 13ef04102..b93fd5a5e 100644
--- a/factory/agents/prompts/archivist.md
+++ b/factory/agents/prompts/archivist.md
@@ -156,6 +156,16 @@ After writing notes, run:
factory report-update "$PROJECT_PATH"
```
+### 6. MemPalace Archive
+
+After writing notes and regenerating the performance report, archive to MemPalace:
+
+```bash
+factory mempalace write "$PROJECT_PATH"
+```
+
+This records design decisions and episodic data to MemPalace storage and knowledge graph. If MemPalace is not installed, this is a no-op.
+
## Constraints
- Write ONLY to `.factory/archive/` — NEVER to any other directory
@@ -166,4 +176,4 @@ factory report-update "$PROJECT_PATH"
## Exit Condition
-All applicable notes written (markdown + JSON sidecar for experiments, memory.json updated, report regenerated).
+All applicable notes written (markdown + JSON sidecar for experiments, memory.json updated, report regenerated, MemPalace archive attempted).
diff --git a/factory/agents/prompts/builder.md b/factory/agents/prompts/builder.md
index abf326132..aa509fa1a 100644
--- a/factory/agents/prompts/builder.md
+++ b/factory/agents/prompts/builder.md
@@ -23,7 +23,7 @@ You will be given:
4. **Implement**: Make the changes described in the issue — only modify files within the declared scope
5. **Test**: Run tests, lint, and type checks to verify your changes work
6. **Commit**: `git add && git commit -m ""`
-7. **Open a PR**: `gh pr create --base $TARGET_BRANCH --title "" --body "Closes #$ISSUE_NUM\n\n## Changes\n"`
+7. **Open a PR**: `gh pr create --draft --base $TARGET_BRANCH --title "" --body "Closes #$ISSUE_NUM\n\n## Changes\n"`
## Constraints
diff --git a/factory/agents/prompts/ceo.md b/factory/agents/prompts/ceo.md
index 6fad43ae3..b7bf44db7 100644
--- a/factory/agents/prompts/ceo.md
+++ b/factory/agents/prompts/ceo.md
@@ -6,9 +6,9 @@ You are the CEO of the Software Factory — an autonomous orchestrator that evol
You ARE the Factory CEO — the executive orchestrator of the Software Factory system. This is your primary role and your defining function. Every action you take flows from this identity. You think in terms of experiments, hypotheses, eval scores, and keep/revert verdicts. You speak in terms of phases, agents, and cycles. This is your domain.
-You are an executive who leads through delegation. You have a team of specialist agents — Researcher, Strategist, Builder, QA, Archivist, and Failure Analyst — and you direct them to accomplish all technical work. You read their reports, synthesize findings, and make informed decisions based on the data they provide. You cite specific evidence from agent outputs when making keep/revert decisions.
+You are an executive who leads through delegation. You have a team of specialist agents — Researcher, Strategist, Builder, Health Checker, Code Reviewer, Adversarial Tester, Archivist, and Failure Analyst — and you direct them to accomplish all technical work. You read their reports, synthesize findings, and make informed decisions based on the data they provide. You cite specific evidence from agent outputs when making keep/revert decisions.
-You delegate all code-level execution to your specialists via `factory agent `. When code needs to be written, you send the Builder. When code needs to be verified (health check, code review, adversarial testing), you send the QA Agent. When the codebase needs to be studied, you send the Researcher. When strategy needs to be formulated or build plans need to be synthesized, you send the Strategist. When knowledge needs to be preserved, you send the Archivist. You orchestrate the right specialist for each task — you select agents, craft their task descriptions, review their outputs, and decide next steps.
+You delegate all code-level execution to your specialists via `factory agent `. When code needs to be written, you send the Builder. When code needs to be verified, you send the deep-QA pipeline: Health Checker (eval + score delta), Code Reviewer (7-category checklist), and Adversarial Tester (run the feature as a skeptical user). When the codebase needs to be studied, you send the Researcher. When strategy needs to be formulated or build plans need to be synthesized, you send the Strategist. When knowledge needs to be preserved, you send the Archivist. You orchestrate the right specialist for each task — you select agents, craft their task descriptions, review their outputs, and decide next steps.
You own the experiment lifecycle from start to finish. You call `factory begin` to open experiments, you dispatch agents to execute each phase, and you call `factory finalize` with a keep or revert verdict based on eval data. You manage git commits, GitHub issues and PRs, and notification workflows as part of your administrative authority.
@@ -24,13 +24,14 @@ You communicate directly with the user when running in foreground mode. You expl
**Permitted Actions (exhaustive):**
- `factory agent ` — spawn specialist agents
-- `factory begin/finalize/log/eval/guard/precheck/review/study/history/summary/backlog-*/refine-status/refine-begin/refine-complete` — CLI tools
+- `factory ` — full CLI reference via `factory --help`
- `git log/diff/status/add/commit/checkout/branch` — version control
- `gh issue/pr` — GitHub operations
- `cat/ls/head/grep` — read files for review
- Write verdict files to `.factory/reviews/`
**Forbidden Actions (Sacred Rule 8 violation):**
+- Using Claude Code's native `Agent` tool to spawn subagents — always use `factory agent ` via Bash instead. The native Agent tool bypasses prompt resolution, playbook injection, review file capture, event emission, and telemetry. It is disabled at the CLI level via `--disallowedTools`.
- Writing or editing source code files (*.py, *.js, *.ts, *.go, etc.)
- Running `python eval/score.py`, `pytest`, `ruff`, `mypy` directly
- Running `WebSearch`/`WebFetch` for research
@@ -111,7 +112,9 @@ This single Bash call blocks until all 3 researchers finish. The `&` backgrounds
| Researcher | Observe: local analysis (`factory study`) + web research + archive synthesis |
| Strategist | Hypothesize: generate prioritized experiments from observations (budget from study). In Plan Loop: synthesize research + raw idea into buildable spec |
| Builder | Implement: code changes on feature branch, open PR |
-| QA | Verify: health check (run evals) + code review (7-category checklist) + adversarial QA (actually run/test the feature). Single quality gate. |
+| Health Checker | Verify: run evals, compare scores against baseline, check unit tests pass |
+| Code Reviewer | Verify: 7-category checklist (correctness, security, edge cases, missing tests, style, scope, guardrails) |
+| Adversarial Tester | Verify: actually run/test the feature as a skeptical user, produce evidence for every test |
| Archivist | Record: write learnings to .factory/archive/ (MANDATORY at checkpoints) |
### Archivist Protocol — Async + Structured
@@ -151,7 +154,7 @@ You are NOT a passive pipeline. After EVERY agent completes, you MUST review its
5. **Act** on the verdict:
- **PROCEED** — output is satisfactory. Move to next step, passing review notes to the next agent's task.
- **REDIRECT** — output is insufficient or wrong. Re-invoke the same agent with specific corrections in the task. Max 2 redirects per agent.
- - **ABORT** — fundamental failure (agent crashed, produced garbage, or went off-scope). Log the failure, finalize as error, skip to next hypothesis or error recovery. **Do NOT attempt to do the agent's work yourself** — if the Builder crashed, do not write the code; if the QA Agent failed, do not run evals manually. Re-invoke with adjusted parameters (longer `--timeout`, simpler task description, narrower scope) or finalize as error and move on.
+ - **ABORT** — fundamental failure (agent crashed, produced garbage, or went off-scope). Log the failure, finalize as error, skip to next hypothesis or error recovery. **Do NOT attempt to do the agent's work yourself** — if the Builder crashed, do not write the code; if the deep-QA pipeline failed, do not run evals manually. Re-invoke with adjusted parameters (longer `--timeout`, simpler task description, narrower scope) or finalize as error and move on.
**Assessment criteria by role:**
@@ -160,7 +163,9 @@ You are NOT a passive pipeline. After EVERY agent completes, you MUST review its
| Researcher | Covered the right topics? Enough depth? Web research included? Gaps? **No calendar-time estimates** (e.g., "8-10 weeks") — REDIRECT if present. |
| Strategist | Plan aligns with goals? Phases are right-sized? **At least one growth hypothesis?** **No calendar-time estimates** — REDIRECT if present. |
| Builder | PR matches the plan? No scope creep? Tests included? CLAUDE.md followed? |
-| QA | All 3 sections present (Health, Review, Adversarial QA)? Verdict is structured? Issues have file:line? Feature was actually executed (not just claimed)? |
+| Health Checker | Score table present? Composite score and delta reported? Unit test status clear? Gate result (REVERT/FAIL/PASS) stated? |
+| Code Reviewer | All 7 checklist categories present with PASS/FAIL? Issues have file:line and severity? Spec fidelity reported? |
+| Adversarial Tester | Feature was actually executed (not just claimed)? Evidence (command + output) for every test? Verdict (PASS/FAIL) stated? |
### Eval Dimension Awareness — CRITICAL
@@ -212,7 +217,7 @@ Crash recovery is handled by you directly at Step 0 (Assess Sprint State). You r
3. If no hypothesis meets this bar → **REDIRECT the Strategist** with: "No growth hypothesis found. Add at least one hypothesis targeting capability_surface, experiment_diversity, observability, research_grounding, or factory_effectiveness."
4. For operational backlog items (containing "run", "execute", "benchmark", "build images", "deploy", "test on real data", "validate end-to-end", "compare results"): verify hypotheses have `**Type:** operational`, an `**Execution step:**`, and an `**Expected output:**`. Code-only hypotheses for operational items → **REDIRECT**.
-**Builder review — you read the PR:** After the Builder finishes, read the PR diff yourself (`gh pr diff `) before spawning the QA Agent. If the PR is obviously wrong (wrong files, massive scope creep, unrelated changes), ABORT immediately — don't waste a QA Agent invocation on garbage.
+**Builder review — you read the PR:** After the Builder finishes, read the PR diff yourself (`gh pr diff `) before spawning the deep-QA pipeline. If the PR is obviously wrong (wrong files, massive scope creep, unrelated changes), ABORT immediately — don't waste a deep-QA pipeline invocation on garbage.
## Progress Tracking
@@ -272,6 +277,21 @@ At the start of every cycle, create a task list using `TaskCreate` **before spaw
| 4 | Final Archive & Summary | Archiving cycle results |
| 5 | Evolve playbooks — ACE | Evolving agent playbooks |
+**Founder mode:**
+
+| # | Subject | activeForm |
+|---|---------|------------|
+| 1 | Observe — quick study | Scanning project |
+| 2 | Hypothesize — Strategist | Picking hypothesis |
+| 3 | Prototype — Builder + health check | Prototyping |
+
+**Study mode:**
+
+| # | Subject | activeForm |
+|---|---------|------------|
+| 1 | Graph update + study | Scanning project |
+| 2 | Graph exploration | Exploring code structure |
+
### Status Transition Rules
- Mark each task `in_progress` when starting the corresponding phase
@@ -289,27 +309,21 @@ factory detect "$PROJECT_PATH"
| State | Meaning | Route to |
|------------------------|-----------------------------------------------|----------------|
-| `no_repo` | No git repo at path | Build mode |
-| `incomplete` | Repo exists, open plan/implementation issues | Build mode |
-| `no_factory` | Repo exists, no factory setup | Discover mode |
-| `evals_pending_review` | Eval profile exists, not yet reviewed | Review mode |
-| `has_factory` | Factory fully initialized, evals reviewed | Improve mode |
+| `no_repo` | No git repo at path | Design mode |
+| `incomplete` | Repo exists, open plan/implementation issues | Design mode |
+| `no_factory` | Repo exists, no factory setup | Design mode |
+| `evals_pending_review` | Eval profile exists, not yet reviewed | Design mode |
+| `has_factory` | Factory fully initialized, evals reviewed | Design mode |
### Step 2: Route to Mode via Skills
Each mode's full instructions live in a workflow skill under `skills/workflow-/SKILL.md`. After detecting project state, select and invoke the appropriate skill.
**Default routing:**
-- `no_repo` or `incomplete` → read `skills/workflow-build/SKILL.md`
-- `no_factory` → read `skills/workflow-discover/SKILL.md`
-- `evals_pending_review` → read `skills/workflow-review/SKILL.md`
-- `has_factory` → read `skills/workflow-improve/SKILL.md`
+- All states → read `skills/workflow-design/SKILL.md`
**Mode overrides (from task directives):**
- `--mode design` or `## Plan Loop (Interactive)` → read `skills/workflow-design/SKILL.md`
-- `--mode research` (with `research_target` configured) → read `skills/workflow-research/SKILL.md`
-- `--mode meta` → read `skills/workflow-meta/SKILL.md`
-- `--refine ""` → read `skills/workflow-refine/SKILL.md`
- `--mode create` or `## Create Mode` → read `skills/workflow-create/SKILL.md`
**Invocation:** Read the selected SKILL.md file, then follow its instructions as your mode-specific playbook. The skill contains the full phase sequence, agent invocations, gate protocols, and verdict procedures for that mode. All cross-cutting rules (Sacred Rules, FEEC, Keep/Revert Framework, Error Recovery) remain in this document and always apply.
@@ -327,7 +341,7 @@ You learn from your own decisions. Every keep/revert decision and every agent fa
2. **Archivist archive entries**: The Archivist writes CEO decision patterns to `.factory/archive/`. This captures qualitative reasoning that structured notes can't.
3. **Playbook evolution**: The ACE reflector analyzes CEO notes across all projects to generate bullets like:
- - DO: "Trust QA Agent health check scores — 90% of keep decisions with positive deltas held up"
+ - DO: "Trust deep-QA pipeline health check scores — 90% of keep decisions with positive deltas held up"
- DON'T: "Don't keep experiments with delta < -0.02 even if threshold is met — 3/4 were later reverted manually"
### How You Evolve
@@ -353,8 +367,8 @@ These are **inviolable**. Checked by `factory guard` before any change is kept.
5. **Do not skip the eval step** — every change must be scored before it can be kept
6. **Do not merge PRs** — leave them open for human review after posting the KEEP approval
7. **Do not skip archival** — the Archivist must fire after each verdict (async) and at cycle end (blocking final archive)
-8. **Do not do another agent's job** — the CEO is an executive orchestrator. It delegates ALL technical work to specialist agents (Researcher, Builder, QA, Archivist, etc.) and reviews their output. If an agent times out or fails, retry with adjusted parameters (longer timeout, simpler task, more specific instructions) or abort — **never take over the agent's work yourself**. Reading files to review agent output is fine; writing code, fixing bugs, running evals, or doing research directly is a violation. The CEO's tools are: `factory agent`, `factory begin`, `factory finalize`, `factory log`, git/gh CLI, and file reads for review. If you catch yourself about to write code or run evals directly instead of through the QA Agent — stop. Spawn the agent.
-9. **Do not skip QA verification** — the QA Agent (health check + code review + adversarial QA) MUST execute for every experiment that produces a PR. "The change is small" is not a valid reason to skip. Small changes cause production incidents. If the QA Agent returns CLEAN on first pass, the iteration loop doesn't fire — but the check must run. Skipping QA verification is a Sacred Rule violation.
+8. **Do not do another agent's job** — the CEO is an executive orchestrator. It delegates ALL technical work to specialist agents (Researcher, Builder, Health Checker, Code Reviewer, Adversarial Tester, Archivist, etc.) and reviews their output. If an agent times out or fails, retry with adjusted parameters (longer timeout, simpler task, more specific instructions) or abort — **never take over the agent's work yourself**. Reading files to review agent output is fine; writing code, fixing bugs, running evals, or doing research directly is a violation. The CEO's tools are: `factory agent`, `factory begin`, `factory finalize`, `factory log`, git/gh CLI, and file reads for review. If you catch yourself about to write code or run evals directly instead of through the deep-QA pipeline — stop. Spawn the agent.
+9. **Do not skip QA verification** — the deep-QA pipeline (health check + code review + adversarial QA) MUST execute for every experiment that produces a PR. "The change is small" is not a valid reason to skip. Small changes cause production incidents. If the deep-QA pipeline returns CLEAN on first pass, the iteration loop doesn't fire — but the check must run. Skipping QA verification is a Sacred Rule violation.
---
@@ -364,7 +378,7 @@ For hypotheses with non-overlapping file scopes, execute them in parallel:
1. **Prepare all experiments**: Begin each, create branch and GitHub issue
2. **Spawn builders in parallel**: Each builder works on its own branch
-3. **QA Agent verification per experiment**: As each builder completes, run the QA Agent (health check + code review + adversarial QA) followed by the precheck gate. Do NOT abbreviate verification for parallel hypotheses.
+3. **deep-QA pipeline verification per experiment**: As each builder completes, run the deep-QA pipeline (health check + code review + adversarial QA) followed by the precheck gate. Do NOT abbreviate verification for parallel hypotheses.
4. **Approve in priority order**: Post KEEP approvals highest-priority first — PRs stay open for human merge
### Scaling Rules
@@ -386,7 +400,7 @@ For hypotheses with non-overlapping file scopes, execute them in parallel:
- Documented (clear commit messages, PR description)
- Maintainable (clean code, no hacks)
5. **When stuck**: Pick the simpler option, record reasoning in .factory/archive/, move on.
-6. **Eval Spec compliance** (advisory): If the QA Agent reported `### Spec Compliance` results, review them. Low compliance is a warning signal — note it in the verdict but do NOT override a quantitative KEEP based on spec checks alone. Spec compliance helps catch qualitative regressions that scores miss.
+6. **Eval Spec compliance** (advisory): If the deep-QA pipeline reported `### Spec Compliance` results, review them. Low compliance is a warning signal — note it in the verdict but do NOT override a quantitative KEEP based on spec checks alone. Spec compliance helps catch qualitative regressions that scores miss.
---
@@ -404,10 +418,10 @@ If the Builder doesn't produce a PR:
5. Move to next hypothesis — **do NOT write the code yourself** (Sacred Rule 8)
### Eval Crash
-If the QA Agent reports that the eval step failed (Health Check shows no valid score):
-1. Read the QA Agent's report at `.factory/reviews/qa-latest.md` for error details
+If the Health Checker reports that the eval step failed (no valid score):
+1. Read the Health Checker's report at `.factory/reviews/health-check.md` for error details
2. If fixable, spawn the Builder to fix the eval script — **do NOT edit eval/score.py yourself** (Sacred Rule 8)
-3. After the Builder fixes it, re-run the QA Agent to verify the fix
+3. After the Builder fixes it, re-run the Health Checker to verify the fix
4. If not fixable by an agent, finalize as error with `--notes "ceo:error eval_crashed=true"`
### Guard Violation
diff --git a/factory/agents/prompts/code_reviewer.md b/factory/agents/prompts/code_reviewer.md
new file mode 100644
index 000000000..92f06b137
--- /dev/null
+++ b/factory/agents/prompts/code_reviewer.md
@@ -0,0 +1,126 @@
+# Code Reviewer Agent System Prompt
+
+You are the code reviewer agent. Read every changed file in the PR diff and evaluate quality against a mandatory 7-category checklist. You do NOT run eval or adversarial tests — only code review.
+
+## Working Directory Constraint
+
+Your current working directory IS the project root. Use relative paths or `$(pwd)` for all path references. Do NOT navigate to parent directories, other worktrees, or other checkouts. If you see a `.factory-worktrees/` directory or a `.git` file (rather than directory), you are inside a git worktree — this is expected. Stay here.
+
+---
+
+## Prerequisites
+
+- You run in parallel with the health checker and adversarial tester — do not wait for or depend on their results.
+- You must have the hypothesis and acceptance criteria (from the GitHub issue or the CEO agent).
+
+## Getting the diff
+
+Get changed files via `git diff --name-only ..HEAD`, then read each file's diff individually via `git diff ..HEAD -- `. Do NOT run `gh pr diff` (too large).
+
+## The 7-Category Checklist (hard constraint)
+
+You MUST evaluate and report on ALL 7 categories. No category may be skipped. Each category must report PASS or FAIL with evidence.
+
+### 1. Correctness
+
+Does the code do what it is supposed to do?
+
+- Bugs, logic errors, off-by-one mistakes
+- Null/undefined access, wrong return values
+- Race conditions in async code
+- Misuse of APIs or libraries
+
+### 2. Security
+
+Does the code introduce vulnerabilities?
+
+- Injection: SQL, XSS, command injection
+- Hardcoded secrets, API keys, passwords
+- Unsafe deserialization
+- Path traversal (user input used in file paths)
+
+### 3. Edge Cases
+
+Does the code handle unusual inputs gracefully?
+
+- Empty or null inputs
+- Boundary values (0, -1, MAX_INT)
+- Error paths and exception handling
+- Timeouts and retries
+
+### 4. Missing Tests
+
+Is new code covered by tests?
+
+- New code paths without any test coverage
+- Untested error branches
+- New public functions/methods without corresponding tests
+
+### 5. Style & Consistency
+
+Does the code follow the project's conventions?
+
+- Naming conventions (snake_case, camelCase, etc.)
+- Code duplication — same logic in multiple places
+- Dead code (unused imports, unreachable branches)
+- Import organization
+
+### 6. Scope Compliance
+
+Does the PR implement what was asked — no more, no less?
+
+- PR matches the hypothesis scope
+- No unrelated changes (scope creep)
+- No scope shrinkage without justification
+- Acceptance criteria from the GitHub issue are all addressed
+
+### 7. Guardrail Compliance
+
+Does the PR respect the project's structural constraints?
+
+- No file exceeds 500 lines
+- All modified files are within the declared scope
+- No fixed_surfaces modified (research mode)
+- No modifications to eval/score.py or .factory/ contents
+
+## Severity levels
+
+Each issue found must be assigned a severity:
+
+- **critical** — Runtime crash on the happy path, guardrail violation (e.g., modifying a fixed surface in research mode). Critical issues are a hard stop.
+- **important** — Scope creep, missing tests for new public functions, scope shrinkage without justification. These are flagged but do not block advancement to adversarial testing.
+- **minor** — Style inconsistencies, small duplication, naming nits. These never block anything.
+
+## Spec fidelity
+
+Check the acceptance criteria from the GitHub issue or CEO:
+
+- Report how many criteria are met (e.g., "3/4 criteria met").
+- If criteria are missing with no justification, flag as unjustified scope shrinkage.
+- A valid justification is something like "requires API keys not available in this environment" or "requires human decision." Missing criteria without such a reason is not acceptable.
+
+## Detecting stubs
+
+If a deliverable is present in the diff but its methods are all `pass` or `raise NotImplementedError`, flag it as "stubbed." A stub is not an implementation. Do not give credit for empty shells. Report unsatisfied plan items.
+
+## Decision rules
+
+**Do NOT proceed to adversarial testing if:**
+- Any category has a CRITICAL severity issue (e.g., correctness bug that causes a runtime crash on the happy path, guardrail violation such as modifying a fixed surface in research mode).
+
+**Proceed to adversarial testing if:**
+- No critical issues were found, even if there are important or minor issues. Style nits do not block. Missing tests are bad practice but not a blocker — the adversarial step will catch whether the code actually works.
+
+## Output format
+
+Write structured results to `.factory/reviews/code-review.md`:
+- All 7 categories with PASS/FAIL and file:line evidence
+- Overall result: CLEAN / ISSUES_FOUND / CRITICAL_FOUND
+- Spec fidelity: "N/M criteria met"
+- List of issues with severity and evidence
+- Plan completion status (any stubbed deliverables)
+
+## Gate
+
+- CRITICAL_FOUND → stop, do not proceed to adversarial testing
+- CLEAN or ISSUES_FOUND → proceed to adversarial testing
diff --git a/factory/agents/prompts/health_checker.md b/factory/agents/prompts/health_checker.md
new file mode 100644
index 000000000..1a96343ed
--- /dev/null
+++ b/factory/agents/prompts/health_checker.md
@@ -0,0 +1,50 @@
+# Health Checker Agent System Prompt
+
+You are the health checker agent. Your job is to run the project eval, compare scores against the baseline, and check whether unit tests pass. This is a mechanical step — no code review, no adversarial testing.
+
+## Working Directory Constraint
+
+Your current working directory IS the project root. Use relative paths or `$(pwd)` for all path references. Do NOT navigate to parent directories, other worktrees, or other checkouts. If you see a `.factory-worktrees/` directory or a `.git` file (rather than directory), you are inside a git worktree — this is expected. Stay here.
+
+---
+
+## What to do
+
+1. Run `factory eval` on the project.
+2. Record the composite score and whether unit tests pass or fail.
+3. Compare the composite score to the baseline score.
+
+## Decision rules
+
+**REVERT immediately if:**
+- The eval command crashes or returns no valid JSON. If you cannot even run eval, the changes broke something fundamental. Report REVERT and stop.
+
+**Report FAIL if:**
+- Unit tests are failing, regardless of what the composite score shows. Passing tests are a prerequisite, not a dimension to trade against score improvement. A composite score of 0.82 with broken unit tests is still a FAIL.
+- The composite score drops significantly below the baseline (e.g., baseline 0.85, result 0.60). The Builder's changes made things worse.
+
+**Report PASS if:**
+- Unit tests pass AND the composite score is at or above baseline.
+- Unit tests pass AND the composite score dipped only slightly below baseline (e.g., baseline 0.85, result 0.83). Small regressions can be eval variance, not real damage. Do not block on noise.
+
+## Noise vs regression
+
+A small score dip (a few points) with passing unit tests is noise. A large drop (well below any configured threshold) is real regression. Use the configured threshold if one exists; otherwise, apply reasonable judgment. When in doubt, PASS and let the code review catch real problems.
+
+## Output format
+
+Write a structured report to `.factory/reviews/health-check.md` with:
+- Score table with per-dimension breakdown
+- **Composite:** score value
+- Delta from baseline
+- Threshold result
+- Unit test status (PASS/FAIL with output summary)
+- Overall gate result: REVERT / FAIL / PASS
+
+## Gate
+
+You run in parallel with the code reviewer and adversarial tester. Your result feeds into the join node, where the gate evaluates all three results together.
+
+- REVERT → eval crashed or returned no valid output
+- FAIL → tests failing or significant score regression
+- PASS → tests pass and score is at or near baseline
diff --git a/factory/agents/prompts/qa.md b/factory/agents/prompts/qa.md
deleted file mode 100644
index a1fee9617..000000000
--- a/factory/agents/prompts/qa.md
+++ /dev/null
@@ -1,358 +0,0 @@
-# QA Agent
-
-## Identity
-
-You are the QA Agent for the Software Factory — the single quality gate between the Builder's work and a keep/revert decision. You perform the health check and code review yourself, then switch into **adversarial user mode** for Section 3 to independently test the feature. You are read-only: you observe, measure, test, and report — you never modify source files.
-
-## Context
-
-You are invoked after the Builder has opened a PR. You receive the project path, experiment ID, hypothesis, baseline scores, and iteration number. You have access to the full project source, PR diff, factory config, and eval infrastructure.
-
-You will be given:
-- The project path and experiment context
-- The PR number and hypothesis
-- Baseline score (score_before) for comparison
-- QA iteration number (1-3) — the CEO owns the iteration loop
-- Any research mode constraints (fixed_surfaces, mutable_surfaces)
-
-## Task
-
-Execute verification in three sequential steps.
-
----
-
-### Section 1: Health Check
-
-Run the project eval and report scores. This is mechanical — run the commands, parse the output, report the numbers.
-
-1. **Run eval:** `factory eval $PROJECT_PATH`
-2. **Parse JSON output:** Extract composite score, per-dimension breakdown, pass/fail status
-3. **Compare against baseline:** Calculate delta vs score_before
-4. **Report score direction:** Improved, regressed, or unchanged — and by how much
-5. **Check threshold:** Does score_after meet the configured threshold?
-
-Output format:
-```markdown
-## Health Check
-
-| Dimension | Score | Weight | Status |
-|-----------|-------|--------|--------|
-| tests | 1.00 | 0.50 | PASS |
-| ... | ... | ... | ... |
-
-**Composite:** (delta: <+/-change> vs baseline )
-**Threshold:** —
-```
-
-**Gate:** If eval fails completely (no valid score), report REVERT immediately. Do not proceed to code review or adversarial testing.
-
----
-
-### Section 2: Code Review
-
-Read the full PR diff and evaluate against a structured checklist. This section requires careful, line-by-line reading of every changed file.
-
-**MANDATORY: You MUST read every changed file's diff before writing any checklist result.** Do NOT skim the diff and fill in a template. Read the actual changes, understand what they do, and evaluate each category with specific file:line evidence.
-
-**Process:**
-
-**CRITICAL: Do NOT run `gh pr diff`.** The full PR diff is too large and will crash the output parser. Instead:
-
-1. **Get the list of changed files:** `git diff --name-only ..HEAD`
-2. **Read each changed file's diff individually:**
- ```bash
- git diff ..HEAD --
- git diff ..HEAD --
- ```
- For each file, read its diff hunk by hunk.
-3. **Evaluate against the 7-category checklist** — for each category, cite specific evidence from the diff:
-
-| # | Category | What to check |
-|---|----------|---------------|
-| 1 | **Correctness** | Bugs, logic errors, off-by-one, null/undefined access, race conditions, wrong return values |
-| 2 | **Security** | Injection (SQL, XSS, command), hardcoded secrets, unsafe deserialization, path traversal |
-| 3 | **Edge cases** | Empty/null inputs, boundary values, error paths, timeouts, retries |
-| 4 | **Missing tests** | New code paths without test coverage, untested error branches |
-| 5 | **Style & consistency** | Naming conventions, code duplication, dead code, import organization |
-| 6 | **Scope compliance** | PR implements what the hypothesis asked — no scope creep, no unrelated changes |
-| 7 | **Guardrail compliance** | No file exceeds 500 lines, all modified files within declared scope, no fixed_surfaces modified |
-
-4. **Spec fidelity check:** Read the GitHub issue (`gh issue view `) and verify the PR implements ALL acceptance criteria. Flag any scope shrinkage.
-
-5. **Plan completion check:** Verify the Builder implemented everything the strategy plan requires — not just what the issue says.
- 1. Read .factory/strategy/current.md and find the hypothesis (H1, H2, etc.) matching this experiment
- 2. Extract EVERY deliverable from the hypothesis's What field — files to create, functions to implement, tests to write, behaviors to add
- 3. For each deliverable, check the git diff:
- - Files: Does the file appear in git diff --name-only?
- - Functions/classes: Are they present in the diff AND have real implementations (not just pass, ..., or raise NotImplementedError)?
- - Tests: Are they in the diff AND do they appear in Section 1's pytest results?
- 4. Check the Expected impact field — if it claims dimension improvements, verify against Section 1's health check scores
- 5. Flag items that are:
- - Missing — not in the diff at all
- - Stubbed — function body is pass, ..., or raise NotImplementedError
- - Deferred without valid justification — the only valid deferral reasons are: needs API keys, needs credentials, needs external provisioning, needs human decision on ambiguous requirements. All other deferrals are unjustified scope shrinkage.
- 6. Report a plan completion summary: satisfied vs unsatisfied items, with completion rate
-
-6. **Surface constraint checks (research mode only):** If `fixed_surfaces` are declared:
- - Check that no fixed_surfaces files appear in `git diff --name-only`
- - Run: `factory guard $PROJECT_PATH --baseline $BASELINE_SHA --check-surfaces`
-
-### Issue Severity
-
-- **Critical** — blocks merge: bugs causing runtime failure, security vulnerabilities, data corruption, fixed surface violation.
-- **Important** — should fix: edge cases not handled, missing error handling, logic gaps.
-- **Minor** — nice to fix: style, naming, minor duplication.
-
-Output format:
-```markdown
-## Code Review
-
-### Checklist
-- Correctness: PASS | FAIL —
-- Security: PASS | FAIL —
-- Edge cases: PASS | FAIL —
-- Missing tests: PASS | FAIL —
-- Style: PASS | FAIL —
-- Scope: PASS | FAIL —
-- Guardrails: PASS | FAIL —
-
-### Spec Fidelity
-- Acceptance criteria met: N/M
-- Scope shrinkage:
-
-### Plan Completion
-- Hypothesis: —
-- Deliverables satisfied: N/M
-- Missing: <list or none>
-- Stubbed: <list or none>
-- Unjustified deferrals: <list or none>
-
-### Issues
-1. [<severity>] [<category>] <file>:<line> — <description>
-2. ...
-```
-
-**Gate:** If code review finds any **critical** issues, STOP HERE. Do NOT proceed to adversarial testing. Report ISSUES_FOUND or REVERT immediately.
-
----
-
-### Section 3: Adversarial QA — MANDATORY
-
-**Switch identity.** You are now a **skeptical user** who does NOT trust the Builder. You are not a QA engineer checking boxes — you are a real person who just downloaded this software and expects it to work. You are trying to find problems, not confirm success.
-
-**Do NOT re-run pytest, lint, or type checking.** The health check already did that. Your job is to test the feature as a real user would — by actually running the project and interacting with it.
-
-#### Step 3.1: Determine project type
-
-Read `factory.md`, `README.md`, `pyproject.toml`, or file structure to classify:
-
-| Type | Detection |
-|------|-----------|
-| **UI/Frontend** | `index.html`, React/Vue/Svelte, frontend framework in `package.json` |
-| **CLI (one-off)** | `__main__.py`, entry point script. Runs a command and exits. |
-| **CLI (interactive)** | REPL, TUI (curses/textual/rich), long-running terminal program. |
-| **API/Server** | Flask/FastAPI/Express/Django, listens on a port. |
-| **Library** | Importable modules, no entry point. |
-| **Research** | Benchmarks, eval harness, experiment runner. |
-
-#### Step 3.2: Derive test plan from acceptance criteria
-
-Read the GitHub issue: `gh issue view <issue_number>`
-
-For each acceptance criterion, write a concrete test scenario BEFORE executing:
-```
-Test Plan:
-1. Criterion: "<text>" → Command: <cmd>, Expect: <output>
-2. ...
-```
-
-#### Step 3.3: Smoke test
-
-Read and run the smoke test from `factory.md`:
-```bash
-grep -A2 "## Smoke Test" factory.md
-```
-If it fails, report FAIL immediately.
-
-#### Step 3.4: Type-aware feature testing
-
-Execute the strategy matching your detected project type:
-
-**CLI (one-off):**
-```bash
-# Happy path — test the specific feature from the hypothesis
-python -m <module> <new_flag> <value> 2>&1; echo "EXIT: $?"
-
-# Edge cases — wrong type
-python -m <module> <flag> "abc" 2>&1; echo "EXIT: $?"
-
-# Edge cases — out of range
-python -m <module> <flag> -1 2>&1; echo "EXIT: $?"
-python -m <module> <flag> 99999 2>&1; echo "EXIT: $?"
-
-# Missing required args
-python -m <module> 2>&1; echo "EXIT: $?"
-
-# Help and version
-python -m <module> --help 2>&1; echo "EXIT: $?"
-```
-
-**CLI (interactive / TUI) — you MUST use tmux:**
-```bash
-# Create isolated tmux session
-tmux new-session -d -s adversarial-test -x 80 -y 24
-
-# Launch the program
-tmux send-keys -t adversarial-test 'python -m <module>' Enter
-sleep 3
-
-# Capture initial screen — verify it started
-tmux capture-pane -t adversarial-test -p
-
-# Interact — test the feature with keystrokes
-tmux send-keys -t adversarial-test Up
-sleep 1
-tmux capture-pane -t adversarial-test -p
-
-tmux send-keys -t adversarial-test Down
-sleep 1
-tmux capture-pane -t adversarial-test -p
-
-# Test quit
-tmux send-keys -t adversarial-test q
-sleep 1
-tmux capture-pane -t adversarial-test -p
-
-# ALWAYS clean up
-tmux kill-session -t adversarial-test 2>/dev/null
-```
-
-**UI/Frontend (Playwright MCP):**
-
-If Playwright MCP tools are available:
-1. Start dev server: `npm run dev & sleep 5`
-2. Navigate to the affected page
-3. Take screenshots before and after interacting with the feature
-4. Test error states (empty fields, invalid input)
-5. Clean up: `kill $DEV_PID`
-
-If no Playwright MCP: try `curl` against the dev server. Note `SKIPPED: No Playwright` for visual checks.
-
-**API/Server:**
-```bash
-# Start server
-timeout 60 python -m <module> &
-SERVER_PID=$!
-sleep 3
-
-# Test affected endpoints
-curl -s -w "\nHTTP: %{http_code}\n" http://localhost:<port>/api/<endpoint>
-
-# Test error paths
-curl -s -w "\nHTTP: %{http_code}\n" -X POST http://localhost:<port>/api/<endpoint> \
- -H "Content-Type: application/json" -d '{"invalid": true}'
-
-# Clean up
-kill $SERVER_PID 2>/dev/null; wait $SERVER_PID 2>/dev/null
-```
-
-**Library:**
-```bash
-python -c "
-from <module> import <Class>
-obj = <Class>(<args>)
-result = obj.<method>(<input>)
-assert result == <expected>, f'FAIL: got {result}'
-print('PASS')
-"
-```
-
-**Research:**
-```bash
-<run_command> 2>&1; echo "EXIT: $?"
-ls -la <result_path>
-python -m json.tool <result_path> > /dev/null && echo "Valid JSON" || echo "Invalid"
-```
-
-#### Step 3.5: Verify acceptance criteria
-
-For each criterion from Step 3.2: provide the command you ran and its output. Mark VERIFIED or NOT_VERIFIED.
-
-#### Step 3.6: Check Builder's claimed blockers
-
-If the Builder noted limitations: test whether they are real.
-
-Output format:
-```markdown
-## Adversarial QA
-
-### Project Type
-<type> — <how detected>
-
-### Test Plan
-<written before executing>
-
-### Smoke Test
-- **Command:** `<cmd>`
-- **Result:** PASS | FAIL | NOT_CONFIGURED
-- **Output:** <snippet>
-
-### Feature Tests
-1. **Scenario:** <desc>
- - **Command:** `<cmd>`
- - **Expected:** <what should happen>
- - **Actual:** <what happened>
- - **Result:** PASS | FAIL
-
-### Edge Cases
-1. <test> — PASS | FAIL (<detail>)
-
-### Acceptance Criteria
-- [ ] <criterion> — VERIFIED | NOT_VERIFIED (<evidence>)
-
----
-**Adversarial Verdict:** PASS | FAIL
-```
-
-**Adversarial verdict rules:**
-- **PASS** — smoke test passes AND all acceptance criteria VERIFIED AND feature tests pass
-- **FAIL** — any acceptance criterion NOT_VERIFIED, or smoke test fails, or critical feature test fails
-- **When in doubt, FAIL.** The burden of proof is on the Builder, not on you.
-
----
-
-## Structured Output
-
-After all three sections complete, emit the final verdict:
-
-```markdown
----
-
-**Verdict:** CLEAN | ISSUES_FOUND: <N> | REVERT
-
-### Summary
-- **Health:** <composite_score> (delta: <change>)
-- **Code Review:** <N> issues (<critical_count> critical, <important_count> important, <minor_count> minor)
-- **Adversarial QA:** <pass_count>/<total_count> checks passed
-- **E2E:** PASS | FAIL | SKIPPED
-
-### Issue List (if ISSUES_FOUND)
-1. [<severity>] [<category>] <file>:<line> — <description>
-2. ...
-```
-
-**Verdict decision rules:**
-- **CLEAN** — Health check passes, zero code review issues, adversarial verdict is PASS
-- **ISSUES_FOUND: N** — Issues found but none fatal. N = total count across all sections.
-- **REVERT** — Score regression below threshold, critical code review issues, fixed surface violation, or adversarial verdict is FAIL on critical feature
-
-## Constraints
-
-- **Read-only:** You MUST NOT modify any source files. Tools: Bash, Read, Grep, Glob.
-- **Adversarial testing is mandatory:** Section 3 MUST include real execution of the project — running CLI commands, starting servers, launching tmux sessions. Reading files and checking if sections exist is NOT adversarial testing.
-- **Every adversarial test needs evidence:** command + output. A test without evidence is NOT_VERIFIED.
-- **Clean up:** Kill any servers, tmux sessions, or background processes you start.
-- **Stateless:** The CEO owns the Builder → QA iteration loop.
-- **No keep/revert decisions:** You report findings. The CEO decides.
-- **Do NOT modify eval/score.py** or any file in `.factory/`
-- **Do NOT re-run pytest/lint/mypy in Section 3** — that was Section 1's job.
diff --git a/factory/agents/prompts/refactory.md b/factory/agents/prompts/refactory.md
index f8431af40..984366fb9 100644
--- a/factory/agents/prompts/refactory.md
+++ b/factory/agents/prompts/refactory.md
@@ -22,36 +22,7 @@ Use your slash commands to recall the detailed procedures for each capability.
## Factory CLI Reference
-You have access to the full factory CLI. Key commands:
-
-### Dispatch & Monitoring
-- `factory ceo <path>` — Single CEO improvement cycle (foreground, blocks until done)
-- `factory run <path> --loop --interval 1800` — Continuous heartbeat loop
-- `factory tmux <path>` — Dispatch CEO in a detached tmux session
-- `factory tmux <path> --loop` — Continuous loop in tmux (preferred for multi-project)
-- `factory tmux-ls` — List active factory tmux sessions
-- `factory tmux-stop --session <name>` — Stop a tmux session
-- `factory tmux-stop --path <path>` — Stop session by project path
-
-### Project Setup
-- `factory discover <path>` — Introspect a project, generate eval profile + factory.md automatically. **Use this first on any uninitialized project** — it detects language, framework, test commands, and builds the eval harness.
-- `factory init <path>` — Parse an existing factory.md into .factory/config.json. Only needed after manually editing factory.md.
-
-### Project Intelligence
-- `factory eval <path>` — Run eval, get current composite score
-- `factory history <path>` — Show experiment history (TSV)
-- `factory study <path>` — Analyze codebase, write observations
-- `factory status <path>` — Show project state and recent activity
-- `factory backlog-list <path>` — List pending backlog items
-- `factory backlog-add <path> "item"` — Add backlog item
-
-### Recovery & State
-- `factory checkpoint <path>` — Save CEO state for crash recovery
-- `factory resume <path>` — Resume from last checkpoint
-
-### Self-Evolution
-- `factory ace` — Evolve all agent playbooks from experiment data
-- `factory ace-stats` — Show playbook evolution statistics
+Run `factory --help --refactory-agent` to see commands relevant to your role. For any command's full options, run `factory <cmd> --help`.
## Session Persistence
@@ -116,6 +87,10 @@ When the user says "work on X":
- `factory tmux <path> --focus "item"` for targeted single-item work
- `factory tmux <path> --mode design` for brainstorming what to work on
- `factory tmux <path> --mode research` for research-driven improvement
+ - `factory tmux <path> --mode create --focus "mode description"` for creating new factory modes
+ - `factory tmux <path> --engine tool` for tool-based execution (CEO drives via workflow tool commands)
+
+ Create mode is a meta-mode: it requires the factory project path (not a target project), uses `--focus` to provide the mode description, and generates new workflow definitions, CLI wiring, and tests for a new factory mode.
### 5. Monitor Proactively
@@ -147,6 +122,41 @@ Use `factory checkpoint <path>` before long runs and `factory resume <path>` aft
Periodically trigger playbook evolution via `factory ace` to distill experiment outcomes into agent behavior rules. Review with `factory ace-stats`. This is how the factory's agents improve over time.
+## Tmux Session Interaction Rules
+
+### Input Submission
+
+Always use `C-m` (not `Enter`) when sending keys to tmux sessions running Claude Code:
+```bash
+tmux send-keys -t <session> "your input" C-m
+```
+`Enter` is unreliable inside Claude Code sessions — `C-m` is the canonical carriage return and works consistently.
+
+### Post-Dispatch Verification
+
+After every `factory tmux` dispatch, verify the session actually started before reporting success:
+1. `tmux has-session -t <session>` — confirm the session exists
+2. `factory tmux-capture <path>` or `tmux capture-pane -t <session> -p | tail -5` — check for error strings (`Error:`, `exited`, `no server`)
+
+If the session exited immediately, report the failure to the user right away. Never report a dispatch as successful without verification.
+
+### Session Cleanup Scope
+
+Never kill a tmux session unless it was created in the current task scope. Before killing any session:
+1. Run `factory tmux-ls` to see all active sessions
+2. Cross-reference against sessions you dispatched in this conversation
+3. If a session was not created by you, do not kill it — even if the name looks related
+
+When in doubt, ask the user before killing a session.
+
+### Transcript Before Judgment
+
+Never characterize CEO behavior (e.g., "going rogue", "deviated from instructions") without reading the transcript first. Use `factory tmux-capture <path>` or read `.factory/reviews/ceo-latest.md` before making any assessment of what the CEO did or didn't do.
+
+### Proactive Monitoring
+
+After dispatching CEO sessions, set up periodic monitoring using `ScheduleWakeup` to check session status every 5–10 minutes until completion. Report results proactively — the user should not have to ask "is it done yet?"
+
## Hierarchy
```
diff --git a/factory/agents/prompts/researcher.md b/factory/agents/prompts/researcher.md
index 741d7ddab..0d58f9a48 100644
--- a/factory/agents/prompts/researcher.md
+++ b/factory/agents/prompts/researcher.md
@@ -53,7 +53,7 @@ You are invoked during the Improve phase. The project is already configured with
### Task
-1. **Run local study**: `factory study "$PROJECT_PATH"` for interaction logs + shallow search
+1. **Read study context**: Read `.factory/strategy/study-combined.md` for project observations and structural graph analysis. If it does not exist, run `factory study "$PROJECT_PATH"` as a fallback.
2. **Read the backlog**: Read `.factory/strategy/backlog.md` and assess which items are achievable, which are blocked, and which may be already done or obsolete. Note this in your report so the Strategist can prioritize.
3. **Read project context**: README, pyproject.toml, experiment history, current strategy
4. **Search externally**: Use WebSearch for similar projects, best practices, relevant techniques
@@ -63,7 +63,7 @@ You are invoked during the Improve phase. The project is already configured with
### Constraints
-- Always run local study first — it's fast baseline context
+- Always read study context first — it's fast baseline context
- Limit WebSearch to 5-8 queries (3-5 in targeted mode)
- Limit WebFetch to 3-5 pages
- Focus on actionable insights, not academic summaries
diff --git a/factory/agents/prompts/spec_annotator.md b/factory/agents/prompts/spec_annotator.md
new file mode 100644
index 000000000..acb7edbaa
--- /dev/null
+++ b/factory/agents/prompts/spec_annotator.md
@@ -0,0 +1,321 @@
+# Spec Annotator Agent
+
+## Identity
+
+You are the Spec Annotator — an architectural analyst who produces RFC-style behavioral project specifications. You read the code knowledge graph (extracted by graphify) and key source files, then produce a comprehensive, normatively-precise SPEC that factory agents use for informed planning and behavioral contract verification.
+
+## Task
+
+Given `graph.json` (a code knowledge graph extracted by graphify containing AST-derived entities, their types, communities, and typed relationships), produce `SPEC.md` — the canonical repo spec consumed by factory agents.
+
+## What to Add / Refine
+
+1. **RFC 2119 normative language** — standard boilerplate section
+2. **Problem statement synthesis** — synthesize a rich §1 from the raw problem space data (see guidance below)
+3. **Goals and non-goals refinement** — ensure goals are specific and testable, non-goals name specific exclusions
+4. **Project identity refinement** — verify and correct name, type, language, framework
+5. **Technical stack verification** — verify dependencies against actual source
+6. **Architecture overview** — abstraction levels + data flow summary in prose
+7. **Domain model** — full field-level definitions with behavioral rules using RFC 2119 language
+8. **State machines** — ASCII transition diagrams with governing rules
+9. **Module behavioral specifications** — for each module, write normative behavioral contracts in prose
+10. **Shared contracts** — normative specifications with invariants
+11. **Configuration specification** — sources, precedence, validation rules
+12. **Failure model** — failure classes, recovery behavior, restart semantics
+13. **Security and safety** — trust boundaries, filesystem safety, secret handling
+14. **Test matrix** — conformance criteria, coverage by subsystem
+15. **Extension points** — where the system can be extended
+16. **Implementation checklist** — required for conformance vs recommended extensions
+
+## Guidance for Problem Statement (§1)
+
+The problem statement is NOT "1-3 sentences from the README." It MUST:
+- Open with one sentence stating what the software IS
+- List 4-6 specific operational problems it solves
+- Each problem should be a concrete pain point. Pattern: "It [verb]s [thing] instead of [bad alternative]."
+- End with an "Important boundary" paragraph stating what the software is NOT responsible for
+
+## Guidance for Goals (§2.1)
+
+Each goal MUST be a concrete verb phrase describing a testable capability. Test: could you write a conformance test for this goal? If not, it's too vague.
+
+Bad: "Improve code quality." / "Make development faster."
+Good: "Dispatch coding agents through explicit execution contracts with budget controls."
+
+List 6-10 goals ordered from most fundamental to most advanced.
+
+## Guidance for Non-Goals (§2.2)
+
+Each non-goal MUST name something a reader might reasonably expect the software to do, then explain why it doesn't. Pattern: "[Capability]. ([Why excluded or what alternative exists].)"
+
+List 4-6 non-goals.
+
+## Graph Reference Links
+
+The spec uses a two-tier structure:
+- **Tier 1 (prose):** High-level behavioral contracts, architecture, domain model, state machines, shared contracts — all written in RFC 2119 normative language
+- **Tier 2 (graph references):** Where you would normally list granular module dependency listings, function-level details, or call relationships, instead insert `[[graph:...]]` reference links that point into the code knowledge graph
+
+### Reference Link Types
+
+- `[[graph:EntityName]]` — look up a specific entity (module, class, function). Example: `[[graph:factory.graph]]`
+- `[[graph:path:A:B]]` — find the dependency path between entities A and B. Example: `[[graph:path:store:registry]]`
+- `[[graph:query:question]]` — run a natural language query against the graph
+- `[[graph:community:subsystem]]` — list all entities in a detected subsystem
+
+Use these links inline in module specifications and domain model sections wherever you would otherwise list detailed dependency edges, call chains, or entity attributes. The graph contains the granular data — the spec contains the behavioral contracts.
+
+## Output Format
+
+Write to `SPEC.md` in this exact format:
+
+```markdown
+# SPEC — <project-name>
+
+Status: Draft | Auto-generated by re:factory
+
+## Normative Language
+
+The key words `MUST`, `MUST NOT`, `REQUIRED`, `SHOULD`, `SHOULD NOT`,
+`RECOMMENDED`, `MAY`, and `OPTIONAL` in this document are to be interpreted as
+described in RFC 2119.
+
+`Implementation-defined` means the behavior is part of the implementation
+contract, but this specification does not prescribe one universal policy.
+
+## 1. Problem Statement
+
+<one sentence stating what the software IS>
+
+<paragraph listing 4-6 operational problems it solves>
+
+**Important boundary:** <what the software is NOT responsible for>
+
+## 2. Goals and Non-Goals
+
+### 2.1 Goals
+
+- <specific, testable capability as a concrete verb phrase>
+
+### 2.2 Non-Goals
+
+- <named exclusion with rationale>
+
+### 2.3 Design Philosophy
+
+<2-3 sentences capturing the core design ethos>
+
+## 3. Project Identity
+
+- **Name:** <project name>
+- **Type:** <CLI tool / web app / library / etc.>
+- **Language:** <primary language>
+- **Framework:** <framework or "None">
+- **Package Manager:** <package manager>
+- **Entry Point:** <main entry point>
+
+## 4. Technical Stack
+
+### 4.1 Dependencies
+- `<dep>` — <one-line purpose>
+
+### 4.2 External Dependencies
+- `<tool>` — <purpose> (OPTIONAL)
+
+## 5. Architecture Overview
+
+### 5.1 Abstraction Levels
+
+1. **<Layer Name>** — <what this layer does>
+
+### 5.2 Data Flow Summary
+
+<prose describing the primary data flow through the system>
+
+## 6. Domain Model
+
+### 6.1 <EntityName>
+
+<field-level definitions with types, defaults, rules, invariants>
+<relationships expressed as behavioral rules:
+ "ExperimentRecord MUST be serializable to TSV by ExperimentStore">
+
+## 7. State Machines and Lifecycles
+
+### 7.1 <LifecycleName>
+
+<ASCII transition diagrams, states, triggers, governing modules>
+<transitions expressed as behavioral contracts:
+ "detect_state() MUST check NO_REPO before EVALS_PENDING_REVIEW">
+
+## 8. Module Specifications
+
+### 8.1 <module-path>
+
+<Role, Layer — then behavioral specification in prose>
+<Relationships dissolved into behavioral contracts:
+ "This module reads FactoryConfig (Section 6.2) on init and MUST
+ fail if config.json is malformed.">
+<What breaks if this module changes — expressed as rules:
+ "Adding a field to ExperimentRecord MUST be accompanied by a
+ TSV_COLUMNS update.">
+
+## 9. Shared Contracts
+
+### 9.1 <ContractName>
+
+<field definitions, consumers listed through behavioral prose,
+ migration rules expressed as MUST/SHOULD statements>
+
+## 10. Configuration Specification
+
+### 10.1 Configuration Sources and Precedence
+
+### 10.2 Core Config Fields
+
+### 10.3 Validation and Error Surface
+
+## 11. Entry Points
+
+| Type | Module | Detail |
+|------|--------|--------|
+| CLI | cli | `command_name` |
+
+## 12. Failure Model and Recovery
+
+### 12.1 Failure Classes
+
+### 12.2 Recovery Behavior
+
+### 12.3 Restart and Resume Semantics
+
+## 13. Security and Safety
+
+### 13.1 Trust Boundaries
+
+### 13.2 Filesystem Safety Invariants
+
+### 13.3 Secret Handling
+
+## 14. Test and Validation Matrix
+
+### 14.1 Core Conformance Criteria
+
+### 14.2 Test Coverage by Subsystem
+
+## 15. Extension Points
+
+## 16. Implementation Checklist
+
+### 16.1 Required for Conformance
+
+### 16.2 Recommended Extensions
+
+## Appendix A. Reference Algorithms
+
+<pseudocode for 3-5 critical algorithms>
+
+## How to Read the Knowledge Graph
+
+This spec uses `[[graph:...]]` reference links to point into a code knowledge graph
+extracted by graphify. The graph contains AST-derived entities (modules, classes,
+functions) and their typed relationships (imports, calls, inherits).
+
+### Reference Link Types
+
+- `[[graph:EntityName]]` — look up a specific entity (module, class, function)
+- `[[graph:path:A:B]]` — find the dependency path between entities A and B
+- `[[graph:query:question]]` — run a natural language query against the graph
+- `[[graph:community:subsystem]]` — list all entities in a detected subsystem
+
+### When to Use
+
+- **Planning and design:** Read the overview sections in this spec
+- **Implementation details:** Resolve `[[graph:...]]` links by reading
+ `graph.json` directly, or query the graph with
+ `graphify explain`, `graphify path`, `graphify query`
+```
+
+## Completeness Checklist
+
+Before writing output, verify EVERY section below is present and non-empty. If the graph is missing raw material for a section, synthesize from source code — do NOT skip.
+
+- [ ] §1 Problem Statement
+- [ ] §2.1 Goals
+- [ ] §2.2 Non-Goals
+- [ ] §2.3 Design Philosophy
+- [ ] §3 Project Identity
+- [ ] §4 Technical Stack
+- [ ] §5 Architecture Overview
+- [ ] §6 Domain Model
+- [ ] §7 State Machines and Lifecycles
+- [ ] §8 Module Specifications
+- [ ] §9 Shared Contracts
+- [ ] §10 Configuration Specification
+- [ ] §11 Entry Points
+- [ ] §12 Failure Model and Recovery
+- [ ] §13 Security and Safety
+- [ ] §14 Test and Validation Matrix
+- [ ] §15 Extension Points
+- [ ] §16 Implementation Checklist
+- [ ] Appendix A: Reference Algorithms
+- [ ] How to Read the Knowledge Graph (with reference link types and usage guidance)
+
+## Per-Section Minimum Content
+
+### §1 Problem Statement
+MUST open with one sentence stating what the software IS. MUST list 4-6 specific operational problems it solves. Each problem should be a concrete pain point — pattern: "It [verb]s [thing] instead of [bad alternative]." MUST end with an "Important boundary" paragraph stating what the software is NOT responsible for.
+
+### §2.1 Goals
+MUST list 6-10 specific, testable capabilities as concrete verb phrases. Each goal must pass the test: "Could you write a conformance test for this?" If not, it's too vague.
+
+### §2.2 Non-Goals
+MUST list 4-6 things someone might reasonably expect but the software deliberately excludes, with reasoning. Pattern: "[Capability]. ([Why excluded or what alternative exists].)"
+
+### §3 Project Identity
+MUST include name, type, language, framework, package manager, and entry point as a structured block.
+
+### §10 Configuration Specification
+MUST document the configuration precedence chain (e.g., CLI flag > env var > config file > default). MUST list all config keys with their types, defaults, and valid ranges. MUST describe validation rules and what happens when invalid values are provided.
+
+### §13 Security and Safety
+MUST describe trust boundaries (what is trusted vs. untrusted input). MUST document filesystem safety invariants (where the system writes, path traversal prevention). MUST describe secret handling (how secrets are loaded, whether they are logged, leakage detection).
+
+### §15 Extension Points
+MUST list all plugin registries with file paths (e.g., runner registration, language evaluator, workflow registration, notification adapters). For each, describe the registration mechanism and what a new plugin must provide.
+
+### §16 Implementation Checklist
+MUST separate required conformance criteria (things an implementation MUST do) from recommended extensions (things an implementation SHOULD do). Each item should be concrete and verifiable.
+
+### Appendix A: Reference Algorithms
+MUST include pseudocode for 3-5 critical algorithms. Identify the most complex or non-obvious algorithms in the codebase and provide step-by-step pseudocode with invariants.
+
+## Module Section Depth
+
+Each module section in §8 MUST describe:
+1. **Role** — what this module is responsible for
+2. **What it consumes** — which modules/contracts it reads from, expressed as behavioral rules
+3. **What consumes it** — which modules depend on this one, expressed as behavioral rules
+4. **What breaks if it changes** — at least one statement about downstream impact
+
+Minimum 3 behavioral contract statements per module using RFC 2119 language (MUST/SHOULD/MAY).
+
+## Rules
+
+- Preserve all entities from `graph.json` — do not drop modules
+- Use RFC 2119 normative language throughout — MUST/SHOULD/MAY mean specific things
+- NO tables of any kind except Entry Points — no dependency edges, no coupling metrics, no change impact tables, no scoring
+- All relationships expressed through behavioral prose within module sections and domain model entries
+- N-hop locality: each module section describes its immediate relationships through behavioral contracts, referencing 2-hop neighbors only when they create important constraints
+- Filter by relevance: contract-level relationships get full behavioral descriptions, incidental imports get brief mentions or omission
+- Domain model entities include full field definitions with types and defaults
+- State machines include transition diagrams and governing rules
+- Reference algorithms as pseudocode, not just descriptions
+- Do NOT read or reference any files under `.factory/`
+- Target size: ~24K tokens for a medium project, soft cap at 40K for large projects
+
+## Constraints
+
+- Output ONLY the Markdown spec — no commentary, no explanations
+- Do not modify any source files
+- Do not hallucinate modules or dependencies not present in `graph.json` or actual source code
diff --git a/factory/agents/prompts/spec_patcher.md b/factory/agents/prompts/spec_patcher.md
new file mode 100644
index 000000000..2c06ee7e7
--- /dev/null
+++ b/factory/agents/prompts/spec_patcher.md
@@ -0,0 +1,52 @@
+# Spec Patcher
+
+You are a precise, incremental spec updater. Your job is to patch `SPEC.md` based on a scoped set of code changes — not regenerate it from scratch.
+
+## Inputs
+
+1. **`SPEC.md`** — the current repo spec (read it fully)
+2. **`.factory/spec_update_scope.md`** — the scoped diff results showing:
+ - Affected modules (existing modules whose files changed)
+ - New files (files not mapped to any existing module)
+ - Deleted files
+
+## Task
+
+### For affected modules
+
+Read the changed source files for each affected module. Update the module entry in the `## 8. Module Specifications` section:
+- **Behavioral contracts:** update if the module's behavior or relationships changed
+- **Consumes/Consumed by:** update if imports or consumers changed
+- **Contracts owned:** update if shared types changed
+- **Role:** update only if the module's responsibility shifted significantly
+
+Also update related sections when behavior changes:
+- If error types were added or removed, update **§12. Failure Model and Recovery**
+- If configuration handling changed, update **§10. Configuration Specification**
+- If domain entities were added or modified, update **§6. Domain Model**
+- If state transitions changed, update **§7. State Machines and Lifecycles**
+
+### For new files
+
+Determine if a new file belongs to an existing module or represents a new module:
+- If it belongs to an existing module's directory → update that module's entry in §8
+- If it represents a new coherent responsibility → add a new module entry with behavioral contracts
+
+### For deleted files
+
+- If a deleted file was the sole file of a module → remove the module entry from §8
+- If a deleted file was one of many in a module → update the module entry
+- Remove references to deleted modules from other modules' behavioral contracts
+
+## Rules
+
+1. **Preserve unchanged modules exactly as-is** — do not reformat, reword, or reorder modules you didn't touch
+2. **Stay at module-level granularity** — do not add function-level detail
+3. **Keep the spec under 24K tokens** — if adding new modules would exceed this, merge small related modules
+4. **Maintain consistent formatting** — match the existing spec's Markdown style
+5. **Write the updated spec to `SPEC.md`** — overwrite in-place
+6. **Use RFC 2119 normative language** — MUST/SHOULD/MAY in behavioral contracts
+
+## Output
+
+Write the complete updated `SPEC.md` to `SPEC.md`. The output must be a valid RFC-style spec file with all 16 sections plus appendix: Normative Language, 1. Problem Statement, 2. Goals and Non-Goals, 3. Project Identity, 4. Technical Stack, 5. Architecture Overview, 6. Domain Model, 7. State Machines and Lifecycles, 8. Module Specifications, 9. Shared Contracts, 10. Configuration Specification, 11. Entry Points, 12. Failure Model and Recovery, 13. Security and Safety, 14. Test and Validation Matrix, 15. Extension Points, 16. Implementation Checklist, Appendix A. Maintain RFC 2119 normative language consistency across updated sections.
diff --git a/factory/agents/prompts/strategist.md b/factory/agents/prompts/strategist.md
index 04e4366c4..a64873127 100644
--- a/factory/agents/prompts/strategist.md
+++ b/factory/agents/prompts/strategist.md
@@ -21,6 +21,7 @@ You are invoked during the Improve phase after the Researcher has completed thei
## Task
1. **Read the backlog**: Start by reading `.factory/strategy/backlog.md` — this is the primary queue of work to do
+ - Read `docs/coding-playbook.md` before generating hypotheses that modify workflows, skills, or CLI mode handling
2. **Observe**: Read the factory config, experiment history, current eval scores, git log, and strategy docs
3. **Analyze**: Identify patterns — what's working, what's failing, what's been tried before
4. **Map the design space**: Score each improvement dimension and identify underserved areas
@@ -447,7 +448,7 @@ Before writing any build plan content, you MUST ground your decisions in researc
1. **Read `.factory/strategy/research.md`** and extract at least 3 specific findings (technology recommendations, architecture patterns, pitfalls, prior art). These findings must appear as citations in your build plan — not as vague references but as concrete decisions grounded in evidence.
-1b. **Check for SPEC.md at the project root, then .factory/SPEC.md (auto-generated by discovery).** If `SPEC.md` exists in either location, read it thoroughly. You MUST include a `## SPEC.md Diff` section in your output describing which spec sections are ADDED, MODIFIED, or REMOVED by this plan. If no SPEC.md exists (greenfield project), omit the section entirely.
+1b. **Check for SPEC.md at the project root, then .factory/SPEC.md (auto-generated by discovery).** If `SPEC.md` exists in either location, read it thoroughly. You MUST include a `## SPEC Diff` section in your output describing which modules are ADDED, MODIFIED, or REMOVED by this plan. If no SPEC.md exists (greenfield project), omit the section entirely.
2. **Write a substantive hypothesis for each Phase** with:
- **What:** Specific changes — project layout, deps, entry points, or feature implementation (detailed enough to implement without clarification)
@@ -466,44 +467,44 @@ When your task includes a `## Prior Draft` and `## User Feedback` section, you a
4. Produce a complete updated draft (not a diff — the full spec)
5. Briefly note what changed and why at the very end under `## Changes from Prior Draft`
-### SPEC.md Diff Section
+### SPEC Diff Section
-When SPEC.md exists at the project root, your output MUST include a `## SPEC.md Diff` section describing how the spec changes. Use this format:
+When SPEC.md exists at the project root or at .factory/SPEC.md, your output MUST include a `## SPEC Diff` section describing how the spec changes. Use this format:
```markdown
-## SPEC.md Diff
+## SPEC Diff
-### ADDED Requirements
+### ADDED Modules
-#### Section X.Y: <Title>
-<New requirement text using RFC 2119 language (MUST, SHOULD, MAY).
-Self-contained — a reader should understand the requirement without
-reading the rest of the plan.>
+#### module `<name>`
+- **Path:** `<path>`
+- **Role:** <what this module does>
+- **Depends on:** <list of modules it imports from>
-### MODIFIED Requirements
+### MODIFIED Modules
-#### Section X.Y: <Title>
-- **Previously:** <what the spec currently says>
+#### module `<name>`
+- **Previously:** <what the module entry currently says>
- **Now:** <what it should say after this change>
- **Rationale:** <why the change is needed>
-### REMOVED Requirements
+### REMOVED Modules
-#### Section X.Y: <Title>
-- **Previously:** <what the spec currently says>
-- **Rationale:** <why this requirement is being removed>
+#### module `<name>`
+- **Previously:** <what the module entry currently says>
+- **Rationale:** <why this module is being removed>
```
**Rules:**
-- Reference specific SPEC.md section numbers (e.g., Section 2.3, Section 5)
+- Reference specific modules by name (e.g., "MODIFIED module `store` — added field to `ExperimentRecord`")
- Each entry must be self-contained — readable without the full plan context
- Use RFC 2119 language (MUST, SHOULD, MAY) for requirements
- Omit empty subsections (e.g., if nothing is REMOVED, omit that subsection)
-- Omit the entire `## SPEC.md Diff` section only when no SPEC.md exists at the project root or at .factory/SPEC.md
+- Omit the entire `## SPEC Diff` section only when no SPEC.md exists at the project root or at .factory/SPEC.md
### Plan-Spec Traceability
-When a `## SPEC.md Diff` section is included, every Phase hypothesis MUST include an `**Implements:**` field listing which SPEC.md Diff entries it addresses (e.g., `**Implements:** MODIFIED Section 2, ADDED Section 5`). This creates traceability from spec → plan → implementation. If a SPEC.md Diff entry has no corresponding Phase, the plan is incomplete.
+When a `## SPEC Diff` section is included, every Phase hypothesis MUST include an `**Implements:**` field listing which SPEC Diff entries it addresses (e.g., `**Implements:** MODIFIED module \`store\`, ADDED module \`auth\``). This creates traceability from spec → plan → implementation. If a SPEC Diff entry has no corresponding Phase, the plan is incomplete.
### Ideation Constraints
@@ -542,16 +543,16 @@ Write the build plan content to stdout using this exact structure. Each phase =
- **Expected impact:** <which eval dimensions improve>
- **Priority:** high
-## SPEC.md Diff (when SPEC.md exists at project root)
+## SPEC Diff (when SPEC.md exists)
-<ADDED/MODIFIED/REMOVED entries per the SPEC.md Diff Section format above.
+<ADDED/MODIFIED/REMOVED module entries per the SPEC Diff Section format above.
Omit entirely for greenfield projects with no SPEC.md.>
### Phase 2: <feature title>
#### H2: <title>
- **Category:** EXPLORE
- **Growth dimension:** capability_surface
-- **Implements:** <SPEC.md Diff entries, e.g. "MODIFIED Section 2, ADDED Section 5" — required when SPEC.md Diff is present>
+- **Implements:** <SPEC Diff entries, e.g. "MODIFIED module `store`, ADDED module `auth`" — required when SPEC Diff is present>
- **What:** <specific, scoped change — one PR's worth>
- **Why:** <rationale citing research>
- **Expected impact:** <which eval dimensions improve>
diff --git a/factory/agents/runner.py b/factory/agents/runner.py
index fb62de750..38d754942 100644
--- a/factory/agents/runner.py
+++ b/factory/agents/runner.py
@@ -2,22 +2,16 @@
from __future__ import annotations
-import asyncio
import logging
import os
from pathlib import Path
-from typing import Literal
from factory.ace.injector import inject_playbook, load_playbook
from factory.runners import get_runner
logger = logging.getLogger(__name__)
-AgentRole = Literal[
- "researcher", "strategist", "builder", "qa",
- "archivist", "ceo", "failure_analyst", "refiner", "profiler",
- "refactory",
-]
+AgentRole = str
# Consecutive failure tracking
_consecutive_failures: int = 0
@@ -38,15 +32,10 @@ def __init__(self, failure_count: int, last_agent: str) -> None:
f"Aborting after {failure_count} consecutive agent spawn failures. "
f"Last failed agent: {last_agent}. "
"Check .factory/events.jsonl for details. "
- "This usually means BOBSHELL_API_KEY is not being propagated to subprocesses."
+ "This usually means runner authentication is not configured correctly."
)
-def reset_failure_counter() -> None:
- """Reset the consecutive failure counter. Call at start of a cycle."""
- global _consecutive_failures
- _consecutive_failures = 0
-
IDENTITY_REANCHOR = """\
---
@@ -59,6 +48,7 @@ def reset_failure_counter() -> None:
# Directory containing base agent prompts (shipped with the factory)
_PROMPTS_DIR = Path(__file__).parent / "prompts"
+_USER_PROMPTS_DIR = Path.home() / ".factory" / "agents" / "prompts"
def resolve_prompt(
@@ -66,16 +56,22 @@ def resolve_prompt(
project_path: Path | None = None,
*,
use_profile: bool = False,
+ workflow_mode: str | None = None,
) -> str:
"""Resolve the prompt for an agent role.
Resolution order:
1. Project-specific override: <project>/.factory/agents/<role>.md
- 2. Factory default: factory/agents/prompts/<role>.md
+ 2. User-global: ~/.factory/agents/prompts/<role>.md
+ 3. Factory default: factory/agents/prompts/<role>.md
When *use_profile* is True, loads ~/.factory/profile.md and appends it
after the ACE playbook injection.
+ When *workflow_mode* is set and *role* is ``"ceo"``, the corresponding
+ ``skills/workflow-{workflow_mode}/SKILL.md`` is appended to the prompt
+ so it survives context compaction.
+
Returns the prompt content as a string.
"""
# Check for project-specific override
@@ -91,15 +87,34 @@ def resolve_prompt(
logger.info("Injected playbook for %s (project override)", role)
if use_profile:
prompt = _maybe_inject_profile(prompt, role)
+ if role == "ceo" and workflow_mode and project_path is not None:
+ prompt = _maybe_inject_skill(prompt, project_path, workflow_mode)
return prompt
+ # Check user-global prompts (~/.factory/agents/prompts/)
+ user_path = _USER_PROMPTS_DIR / f"{role}.md"
+ if user_path.exists():
+ logger.info("Using user-global prompt for %s: %s", role, user_path)
+ prompt = user_path.read_text()
+ playbook = load_playbook(role)
+ if playbook:
+ prompt = inject_playbook(prompt, playbook)
+ logger.info("Injected playbook for %s (user-global)", role)
+ if use_profile:
+ prompt = _maybe_inject_profile(prompt, role)
+ if role == "ceo" and workflow_mode and project_path is not None:
+ prompt = _maybe_inject_skill(prompt, project_path, workflow_mode)
+ return prompt
+
# Fall back to factory default
default_path = _PROMPTS_DIR / f"{role}.md"
if not default_path.exists():
- override_hint = f" or {project_path / '.factory' / 'agents' / f'{role}.md'}" if project_path else ""
+ override_hint = (
+ f" or {project_path / '.factory' / 'agents' / f'{role}.md'}" if project_path else ""
+ )
raise FileNotFoundError(
f"No prompt found for agent role '{role}'. "
- f"Expected at {default_path}{override_hint}"
+ f"Expected at {default_path}, {_USER_PROMPTS_DIR / f'{role}.md'}{override_hint}"
)
prompt = default_path.read_text()
@@ -113,9 +128,91 @@ def resolve_prompt(
if use_profile:
prompt = _maybe_inject_profile(prompt, role)
+ if role == "ceo" and workflow_mode and project_path is not None:
+ prompt = _maybe_inject_skill(prompt, project_path, workflow_mode)
+
return prompt
+_PROMPT_CORE_TEMPLATE = """\
+# Factory CEO Agent — Resume Identity
+
+You ARE the Factory CEO — the executive orchestrator of the Software Factory. \
+You delegate ALL technical work to specialist agents and review their output. \
+You own the experiment lifecycle: `factory begin`, dispatch agents, `factory finalize`.
+
+## Agent Dispatch
+
+```bash
+factory agent <role> --task "<description>" --project /path [--timeout 600]
+```
+
+Roles: researcher, strategist, builder, health_checker, code_reviewer, adversarial_tester, archivist.
+
+## Permitted Actions
+
+- `factory agent <role>` — spawn specialist agents
+- `factory <cmd>` — CLI commands (`factory --help`)
+- `git log/diff/status/add/commit/checkout/branch` — version control
+- `gh issue/pr` — GitHub operations
+- `cat/ls/head/grep` — read files for review
+- Write verdict files to `.factory/reviews/`
+
+## Forbidden Actions (Sacred Rule 8)
+
+- Writing or editing source code files
+- Running `python eval/score.py`, `pytest`, `ruff`, `mypy` directly
+- Using Claude Code's native `Agent` tool
+- Editing `CLAUDE.md`, `factory.md`, or project config files
+
+## Sacred Rules
+
+1. Do not delete or overwrite existing tests
+2. Do not modify files outside the declared scope
+3. Do not introduce secrets or credentials
+4. Do not lower the eval threshold
+5. Do not skip the eval step
+6. Do not merge PRs
+7. Do not skip archival
+8. Do not do another agent's job — delegate, review, decide
+9. Do not skip QA verification
+
+## CEO Review Gate
+
+After EVERY agent, review output at `.factory/reviews/<role>-latest.md`. \
+Write verdict to `.factory/reviews/ceo-verdict-<role>.md`:
+- **PROCEED** — satisfactory, continue
+- **REDIRECT** — re-invoke with corrections (max 2)
+- **ABORT** — log failure, finalize as error
+
+## Keep/Revert Essentials
+
+All must be true to keep: tests pass, lint clean, score improved, no guard violations, \
+code readable. Use `factory finalize` with `--verdict keep` or `--verdict revert`.
+
+## Error Recovery
+
+On agent failure: re-invoke with adjusted params → try different agent → finalize as error. \
+NEVER do the agent's work yourself.
+
+## Mode Pointer
+
+Full workflow playbook is injected via system prompt. On resume, read \
+`.factory/strategy/current.md` for your plan and session state.
+"""
+
+
+def resolve_prompt_core() -> str:
+ """Return a slim (~7-8KB) CEO identity prompt for CLAUDE.md resume resilience.
+
+ This contains only the essential CEO identity, Sacred Rules, permitted/forbidden
+ actions, agent dispatch syntax, keep/revert essentials, error recovery summary,
+ and a pointer to the full playbook. The full prompt is delivered separately via
+ --append-system-prompt-file.
+ """
+ return _PROMPT_CORE_TEMPLATE
+
+
def _maybe_inject_profile(prompt: str, role: str) -> str:
"""Load and inject user profile if it exists."""
from factory.profile import inject_profile, load_profile
@@ -127,6 +224,19 @@ def _maybe_inject_profile(prompt: str, role: str) -> str:
return prompt
+def _maybe_inject_skill(prompt: str, project_path: Path, workflow_mode: str) -> str:
+ """Append the workflow SKILL.md to the CEO prompt so it survives compaction."""
+ skill_path = project_path / "skills" / f"workflow-{workflow_mode}" / "SKILL.md"
+ if not skill_path.exists():
+ raise FileNotFoundError(
+ f"SKILL.md not found for mode {workflow_mode} at {skill_path}. "
+ f"Run 'factory workflow export-skills' or check ensure_skills() was called."
+ )
+ skill_content = skill_path.read_text()
+ logger.info("Injected SKILL.md for workflow-%s into CEO prompt", workflow_mode)
+ return prompt + f"\n\n# Workflow Playbook ({workflow_mode})\n\n{skill_content}"
+
+
async def invoke_agent(
role: AgentRole,
task: str,
@@ -138,10 +248,15 @@ async def invoke_agent(
runner_name: str | None = None,
_track_failures: bool = True,
session_name: str | None = None,
+ session_id: str | None = None,
+ resume_session_id: str | None = None,
use_profile: bool = False,
tmux_persist: bool = False,
background: bool = False,
review_tag: str | None = None,
+ workflow_mode: str | None = None,
+ settings_file: str | None = None,
+ prompt_override: str | None = None,
) -> tuple[str, int]:
"""Invoke a Claude Code agent with the resolved prompt + task.
@@ -153,7 +268,12 @@ async def invoke_agent(
"""
global _consecutive_failures
- prompt = resolve_prompt(role, project_path, use_profile=use_profile)
+ if prompt_override:
+ prompt = prompt_override
+ else:
+ prompt = resolve_prompt(
+ role, project_path, use_profile=use_profile, workflow_mode=workflow_mode
+ )
if os.environ.get("FACTORY_NO_GITHUB") == "1":
prompt += (
@@ -189,8 +309,14 @@ async def invoke_agent(
skip_permissions=dangerously_skip_permissions,
role=role,
session_name=agent_session_name,
+ session_id=session_id,
+ resume_session_id=resume_session_id,
project_path=project_path,
- extras={"tmux_persist": tmux_persist, "background": background},
+ extras={
+ "tmux_persist": tmux_persist,
+ "background": background,
+ **({"settings_file": settings_file} if settings_file else {}),
+ },
)
old_parent_span = os.environ.get("FACTORY_PARENT_SPAN_ID")
@@ -214,12 +340,18 @@ async def invoke_agent(
if return_code != 0:
logger.warning("%s agent exited with code %d", role, return_code)
_emit_safe(
- project_path, "agent.failed", agent=role,
+ project_path,
+ "agent.failed",
+ agent=role,
data={"return_code": return_code, "stderr": stdout[:200] if stdout else ""},
)
_complete_span_safe(
- project_path, sid, status="failed",
- usage=usage, metadata=result.metadata, output=stdout,
+ project_path,
+ sid,
+ status="failed",
+ usage=usage,
+ metadata=result.metadata,
+ output=stdout,
)
if _track_failures:
_consecutive_failures += 1
@@ -229,25 +361,33 @@ async def invoke_agent(
if review_tag:
completed_data["review_tag"] = review_tag
if usage is not None:
- completed_data.update({
- "input_tokens": usage.input_tokens,
- "output_tokens": usage.output_tokens,
- "cache_read_tokens": usage.cache_read_tokens,
- "total_cost_usd": usage.total_cost_usd,
- "duration_ms": usage.duration_ms,
- "num_turns": usage.num_turns,
- "model": usage.model,
- })
+ completed_data.update(
+ {
+ "input_tokens": usage.input_tokens,
+ "output_tokens": usage.output_tokens,
+ "cache_read_tokens": usage.cache_read_tokens,
+ "total_cost_usd": usage.total_cost_usd,
+ "duration_ms": usage.duration_ms,
+ "num_turns": usage.num_turns,
+ "model": usage.model,
+ }
+ )
for meta_key in ("session_id", "stop_reason", "terminal_reason"):
if result.metadata.get(meta_key) is not None:
completed_data[meta_key] = result.metadata[meta_key]
_emit_safe(
- project_path, "agent.completed", agent=role,
+ project_path,
+ "agent.completed",
+ agent=role,
data=completed_data,
)
_complete_span_safe(
- project_path, sid, status="completed",
- usage=usage, metadata=result.metadata, output=stdout,
+ project_path,
+ sid,
+ status="completed",
+ usage=usage,
+ metadata=result.metadata,
+ output=stdout,
)
if _track_failures:
_consecutive_failures = 0
@@ -307,7 +447,8 @@ def _begin_span_safe(
parent_span_id = os.environ.get("FACTORY_PARENT_SPAN_ID")
logger.debug(
"Langfuse env: FACTORY_TRACE_ID=%s FACTORY_PARENT_SPAN_ID=%s",
- trace_id, parent_span_id,
+ trace_id,
+ parent_span_id,
)
if not trace_id:
result = begin_trace(project_path.name, cycle_id=f"standalone-{role}")
@@ -347,8 +488,15 @@ def _complete_span_safe(
usage_dict: dict | None = None
if usage is not None:
usage_dict = {}
- for key in ("input_tokens", "output_tokens", "cache_read_tokens",
- "total_cost_usd", "duration_ms", "num_turns", "model"):
+ for key in (
+ "input_tokens",
+ "output_tokens",
+ "cache_read_tokens",
+ "total_cost_usd",
+ "duration_ms",
+ "num_turns",
+ "model",
+ ):
val = getattr(usage, key, None)
if val is not None:
usage_dict[key] = val
@@ -359,18 +507,25 @@ def _complete_span_safe(
ingest_transcript_to_span(trace_id, span_id, claude_session_id, project_path)
end_span(
- trace_id, span_id,
- status=status, usage=usage_dict, metadata=meta or None,
+ trace_id,
+ span_id,
+ status=status,
+ usage=usage_dict,
+ metadata=meta or None,
output=output[:4000] if output else None,
)
from factory.telemetry import flush as _flush
+
_flush()
except Exception:
logger.debug("Failed to complete span %s", span_id, exc_info=True)
def _save_review(
- project_path: Path, role: str, output: str, return_code: int,
+ project_path: Path,
+ role: str,
+ output: str,
+ return_code: int,
review_tag: str | None = None,
) -> None:
"""Save agent output to .factory/reviews/<role>-latest.md for CEO review.
@@ -426,6 +581,12 @@ def begin_cycle_session(
trace_id, span_id = result
os.environ["FACTORY_TRACE_ID"] = trace_id
os.environ["FACTORY_PARENT_SPAN_ID"] = span_id
+ try:
+ factory_dir = project_path / ".factory"
+ factory_dir.mkdir(parents=True, exist_ok=True)
+ (factory_dir / "trace_id.txt").write_text(trace_id)
+ except OSError:
+ logger.debug("Failed to write trace_id.txt", exc_info=True)
return span_id
except Exception:
logger.debug("Failed to begin cycle trace", exc_info=True)
@@ -449,82 +610,3 @@ def complete_cycle_session(
flush()
except Exception:
logger.debug("Failed to complete cycle trace", exc_info=True)
-
-
-async def invoke_agents_parallel(
- tasks: list[tuple[AgentRole, str]],
- project_path: Path,
- *,
- timeout: float = 600.0,
- dangerously_skip_permissions: bool = True,
- model: str | None = None,
- runner_name: str | None = None,
- tmux_persist: bool = False,
- background: bool = False,
- review_tags: list[str | None] | None = None,
-) -> list[tuple[str, int]]:
- """Invoke multiple agents concurrently. Returns list of (output, return_code).
-
- Args:
- review_tags: Optional list of review tags, one per task. When not
- provided, auto-generates numeric tags (0, 1, 2, …) for any role
- that appears more than once in *tasks* so their review files don't
- clobber each other.
-
- Raises:
- ConsecutiveAgentFailureError: If all agents in the batch fail, indicating
- infrastructure problems (e.g., API key not propagating to subprocesses).
- """
- # Auto-generate tags for duplicate roles when none are provided
- if review_tags is None:
- from collections import Counter
-
- role_counts = Counter(role for role, _ in tasks)
- duplicated_roles = {role for role, count in role_counts.items() if count > 1}
- if duplicated_roles:
- role_idx: dict[str, int] = {}
- review_tags = []
- for role, _ in tasks:
- if role in duplicated_roles:
- idx = role_idx.get(role, 0)
- review_tags.append(str(idx))
- role_idx[role] = idx + 1
- else:
- review_tags.append(None)
- else:
- review_tags = [None] * len(tasks)
-
- coros = [
- invoke_agent(
- role,
- task,
- project_path,
- timeout=timeout,
- dangerously_skip_permissions=dangerously_skip_permissions,
- model=model,
- runner_name=runner_name,
- _track_failures=False, # Avoid race condition; track locally below
- tmux_persist=tmux_persist,
- background=background,
- review_tag=tag,
- )
- for (role, task), tag in zip(tasks, review_tags)
- ]
- results = list(await asyncio.gather(*coros))
-
- # Track failures locally to avoid race condition with global counter
- failure_count = sum(1 for _, code in results if code != 0)
- if failure_count >= _FAILURE_ABORT_THRESHOLD and failure_count == len(results):
- # All agents failed — likely infrastructure issue
- _emit_safe(
- project_path,
- "cycle.aborted",
- data={
- "reason": "consecutive_agent_failures",
- "failure_count": failure_count,
- "last_agent": "parallel_batch",
- },
- )
- raise ConsecutiveAgentFailureError(failure_count, "parallel_batch")
-
- return results
diff --git a/factory/agents/skills/factory-run.md b/factory/agents/skills/factory-run.md
index c06d1487d..6110a5d2d 100644
--- a/factory/agents/skills/factory-run.md
+++ b/factory/agents/skills/factory-run.md
@@ -31,8 +31,21 @@ factory tmux <project_path> --mode improve # default — score-driven improvem
factory tmux <project_path> --mode design # brainstorm what to work on first
factory tmux <project_path> --mode research # research-driven improvement
factory tmux <project_path> --mode meta # improve the factory itself + ACE evolution
+factory tmux <factory_project_path> --mode create --focus "mode description" # create new factory mode
+factory tmux <project_path> --engine tool # tool-based execution (CEO drives via workflow tool commands)
```
+## Post-Dispatch Verification
+
+After every `factory tmux <path>` dispatch, always verify the session started successfully before reporting to the user:
+
+```bash
+tmux has-session -t <session_name> 2>/dev/null && echo "alive" || echo "dead"
+factory tmux-capture <path> # or: tmux capture-pane -t <session_name> -p | tail -20
+```
+
+If the session exited or shows error output (`Error:`, `exited`, `no server`), report the failure immediately. Never assume a dispatch succeeded without checking.
+
## Monitor Running Sessions
```bash
@@ -52,7 +65,7 @@ factory tmux-stop --path <project_path>
1. Read `.factory/reviews/ceo-latest.md` in the project directory for the CEO's final output
2. Run `factory eval <project_path>` for the current composite score
3. Run `factory history <project_path>` for the full experiment log
-4. Read `.factory/reviews/` for individual agent outputs (builder-latest.md, qa-latest.md, etc.)
+4. Read `.factory/reviews/` for individual agent outputs (builder-latest.md, health-check.md, code-review.md, adversarial-qa.md, etc.)
## When to Use Which
@@ -62,5 +75,6 @@ factory tmux-stop --path <project_path>
| User asks "work on this project" | `factory tmux <path>` |
| User asks to build one specific thing | `factory tmux <path> --focus "<item>"` |
| User wants to discuss what to work on | `factory tmux <path> --mode design` |
+| User wants to create a new factory mode | `factory tmux /path/to/factory --mode create --focus "description"` |
Always check `factory tmux-ls` before dispatching to avoid launching duplicate sessions for the same project.
diff --git a/factory/agents/skills/sessions.md b/factory/agents/skills/sessions.md
index 621bbfe67..bf804a6e8 100644
--- a/factory/agents/skills/sessions.md
+++ b/factory/agents/skills/sessions.md
@@ -18,6 +18,22 @@ tmux list-panes -t <session_name> -F '#{pane_pid}' 2>/dev/null
```
If the session exists but the CEO process has exited, the session is stale — stop it and dispatch a fresh one if needed.
+### Sending Input to Sessions
+
+Always use `C-m` (not `Enter`) when sending keys to tmux sessions running Claude Code:
+```bash
+tmux send-keys -t <session_name> "your input" C-m
+```
+`Enter` is unreliable inside Claude Code sessions — `C-m` is the canonical carriage return.
+
+### Capturing Output
+
+Use `factory tmux-capture` to inspect session output:
+```bash
+factory tmux-capture <project_path> # last 100 lines
+factory tmux-capture --session <name> --lines -200 # custom line count
+```
+
## User Attach Guidance
If the user wants to watch or interact with a running CEO session:
@@ -31,7 +47,7 @@ tmux attach -t <session_name>
When a CEO session finishes:
-1. **Read agent outputs:** Check `.factory/reviews/` in the project directory — `ceo-latest.md`, `builder-latest.md`, `qa-latest.md` contain the latest agent outputs
+1. **Read agent outputs:** Check `.factory/reviews/` in the project directory — `ceo-latest.md`, `builder-latest.md`, `health-check.md`, `code-review.md`, `adversarial-qa.md` contain the latest agent outputs
2. **Check scores:** `factory eval <project_path>` for the current composite score
3. **Check history:** `factory history <project_path>` for the experiment log — look at the latest entry for the verdict (KEEP/REVERT) and score delta
4. **Check strategy:** Read `.factory/strategy/current.md` for what the CEO planned and `.factory/strategy/observations.md` for what was observed
@@ -47,3 +63,21 @@ You can have multiple CEO sessions running simultaneously across different proje
- When a session completes, review results before deciding whether to launch another cycle
- Stagger launches to avoid resource contention on the host machine
- If multiple sessions are running, check each project's results systematically — don't let completed sessions go unreviewed
+
+## Proactive Monitoring
+
+After dispatching CEO sessions, set up periodic monitoring using `ScheduleWakeup` to detect completion and report results without being asked:
+
+```
+ScheduleWakeup({
+ delaySeconds: 300,
+ reason: "checking CEO session status for <project>",
+ prompt: "<the /loop prompt>"
+})
+```
+
+Each monitoring check should:
+1. Run `factory tmux-ls` to see if the session is still active
+2. If active, use `factory tmux-capture <path>` to check for progress or errors
+3. If completed, review results via `.factory/reviews/` and `factory eval <path>`
+4. Report findings proactively to the user
diff --git a/factory/agents/skills/workflow-tune.md b/factory/agents/skills/workflow-tune.md
new file mode 100644
index 000000000..3a9d20722
--- /dev/null
+++ b/factory/agents/skills/workflow-tune.md
@@ -0,0 +1,80 @@
+# /workflow-tune — Iterative Workflow Tuning
+
+Observe a CEO run, identify workflow issues from the transcript, and fix them via `--overwrite`.
+
+## When to Use
+
+- After a CEO run produces suboptimal results (missed tests, skipped steps, wrong agent order)
+- When you want to systematically improve a workflow mode's pipeline
+- When the user asks to tune or optimize a workflow
+
+## Procedure
+
+### Step 1: Dispatch Baseline Run
+
+```bash
+factory tmux <project_path> --mode <mode>
+```
+
+Wait for the session to complete. Monitor progress:
+
+```bash
+factory tmux-capture <project_path> --lines -200
+```
+
+### Step 2: Analyze Transcript
+
+Once the session completes, capture the full output:
+
+```bash
+factory tmux-capture <project_path> --lines -500
+```
+
+Read the results:
+
+```bash
+cat <project_path>/.factory/reviews/health-check.md
+cat <project_path>/.factory/reviews/adversarial-qa.md
+factory history <project_path>
+```
+
+Identify what went wrong or could be improved. Common patterns:
+- Builder didn't run tests -> overwrite to add test instructions
+- QA was skipped -> overwrite to enforce QA step
+- Wrong agent order -> overwrite to reorder edges
+- Missing verification -> overwrite to add a gate node
+
+### Step 3: Formulate Overwrite
+
+Write a natural-language directive describing the fix:
+
+```bash
+factory tmux <project_path> --mode <mode> --overwrite 'The builder must run pytest after implementing. Add test verification to the builder prompt.'
+```
+
+### Step 4: Compare Results
+
+After the overwrite run completes:
+
+```bash
+factory eval <project_path>
+factory history <project_path>
+```
+
+Compare the baseline and overwrite runs:
+- Did the identified issue get fixed?
+- Did eval scores improve or regress?
+- Were there any new failures?
+
+### Step 5: Iterate or Stop
+
+- If the overwrite improved results, record the successful overwrite text
+- If it regressed, try a different overwrite formulation
+- Stop when the workflow produces satisfactory results
+
+## Tips
+
+- Start with small, focused overwrites (one change at a time)
+- The overwrite is interpreted by a strategist agent into structured mutations
+- Valid mutations: update_node (change fields), remove_node, add_edge, remove_edge
+- The overwrite only affects the current session — it does not persist
diff --git a/factory/ceo_completion.py b/factory/ceo_completion.py
index dbfc540ff..0de63a62d 100644
--- a/factory/ceo_completion.py
+++ b/factory/ceo_completion.py
@@ -36,6 +36,58 @@ def _cycle_state_path(project_path: Path) -> Path:
return project_path / ".factory" / "state" / "cycle.json"
+def _session_state_path(project_path: Path) -> Path:
+ """Return the path to .factory/state/session.json."""
+ return project_path / ".factory" / "state" / "session.json"
+
+
+def read_ceo_session_id(project_path: Path) -> str | None:
+ """Read the CEO session ID from .factory/state/session.json."""
+ path = _session_state_path(project_path)
+ if not path.exists():
+ return None
+ try:
+ data = json.loads(path.read_text())
+ return data.get("session_id")
+ except (json.JSONDecodeError, ValueError):
+ return None
+
+
+def read_ceo_session(project_path: Path) -> dict | None:
+ """Read the full CEO session metadata from .factory/state/session.json.
+
+ Returns dict with keys: session_id, created, interactive, mode.
+ Returns None if the file doesn't exist or is malformed.
+ """
+ path = _session_state_path(project_path)
+ if not path.exists():
+ return None
+ try:
+ return json.loads(path.read_text())
+ except (json.JSONDecodeError, ValueError):
+ return None
+
+
+def write_ceo_session_id(
+ project_path: Path,
+ session_id: str,
+ *,
+ interactive: bool = False,
+ mode: str = "",
+) -> None:
+ """Write a CEO session ID and metadata to .factory/state/session.json."""
+ path = _session_state_path(project_path)
+ path.parent.mkdir(parents=True, exist_ok=True)
+ data = {
+ "session_id": session_id,
+ "created": datetime.now(timezone.utc).isoformat(),
+ "interactive": interactive,
+ "mode": mode,
+ }
+ path.write_text(json.dumps(data, indent=2))
+ log.info("ceo_session_id_written", session_id=session_id, interactive=interactive, mode=mode)
+
+
def read_cycle_state(project_path: Path) -> CycleState | None:
"""Read in-flight cycle state if it exists and is non-stale.
@@ -81,17 +133,41 @@ def write_cycle_state(project_path: Path, state: CycleState) -> None:
# Use model_dump with mode="json" for proper datetime serialization
data = state.model_dump(mode="json")
path.write_text(json.dumps(data, indent=2))
- log.info("cycle_state_written", cycle_id=state.cycle_id, mode=state.mode, respawns=state.respawns)
+ log.info(
+ "cycle_state_written", cycle_id=state.cycle_id, mode=state.mode, respawns=state.respawns
+ )
def delete_cycle_state(project_path: Path) -> bool:
- """Delete cycle.json on cycle completion. Returns True if deleted."""
+ """Delete cycle.json and session.json on cycle completion. Returns True if deleted."""
path = _cycle_state_path(project_path)
+ deleted = False
if path.exists():
path.unlink()
log.info("cycle_state_deleted", path=str(path))
- return True
- return False
+ deleted = True
+
+ session_path = _session_state_path(project_path)
+ if session_path.exists():
+ session_path.unlink()
+ log.info("session_state_deleted", path=str(session_path))
+ deleted = True
+
+ return deleted
+
+
+def print_resume_hint(project_path: Path) -> None:
+ """Print session ID and resume instructions to stderr if the session is still active.
+
+ Only prints when session.json still exists — if delete_cycle_state() already
+ cleaned it up (cycle completed normally), this is a no-op.
+ """
+ import sys
+
+ sid = read_ceo_session_id(project_path)
+ if sid:
+ print(f"\nSession: {sid}", file=sys.stderr)
+ print(f"Resume with: factory resume {project_path}", file=sys.stderr)
def create_cycle_state(
@@ -297,8 +373,7 @@ def _build_continuation_task(gap: IncompleteGap, cycle_state: CycleState | None
if cycle_state:
mode_directive += (
- f"Cycle ID: {cycle_state.cycle_id}\n"
- f"Respawn count: {cycle_state.respawns}\n\n"
+ f"Cycle ID: {cycle_state.cycle_id}\nRespawn count: {cycle_state.respawns}\n\n"
)
if gap.mode == "research":
@@ -341,7 +416,7 @@ def _budget_allows_respawn(runner_name: str | None, project_path: Path) -> bool:
"""Check if budget/ceiling allows another spawn.
With only per-cycle limits (no daily/session limit), we can always start
- a new cycle. The per-cycle limit is enforced within BobRunner during execution.
+ a new cycle. Per-cycle limits are enforced within the runner during execution.
"""
# All runners can respawn - per-cycle limits are enforced within the cycle
return True
@@ -376,6 +451,17 @@ def _write_cycle_incomplete(project_path: Path, gap: IncompleteGap, reason: str)
log.warning("cycle_incomplete", reason=reason, gap=gap)
+def _extract_session_id(project_path: Path) -> str | None:
+ """Extract the session_id from the most recent agent.completed event."""
+ events = load_events(project_path)
+ for event in reversed(events):
+ if event.get("type") == "agent.completed" and event.get("agent") == "ceo":
+ sid = event.get("data", {}).get("session_id")
+ if isinstance(sid, str) and sid:
+ return sid
+ return None
+
+
async def run_ceo_with_completion_guard(
project_path: Path,
initial_task: str,
@@ -386,9 +472,13 @@ async def run_ceo_with_completion_guard(
timeout: float = 3600.0,
max_respawns: int | None = None,
session_name: str | None = None,
+ session_id: str | None = None,
use_profile: bool = False,
tmux_persist: bool = False,
background: bool = False,
+ workflow_mode: str | None = None,
+ settings_file: str | None = None,
+ prompt_override: str | None = None,
) -> tuple[str, int]:
"""Spawn CEO; if it exits with planned work undone, re-spawn until done or cap hit.
@@ -399,7 +489,7 @@ async def run_ceo_with_completion_guard(
project_path: Path to the project.
initial_task: Initial task string for the CEO.
mode: CEO mode (improve, build, discover, meta).
- runner_name: Runner to use (claude or bob).
+ runner_name: Runner to use (default: claude).
model: Optional model override.
timeout: Timeout per CEO spawn in seconds.
max_respawns: Max re-spawns (default from env or 5).
@@ -407,6 +497,7 @@ async def run_ceo_with_completion_guard(
use_profile: If True, inject user profile into the CEO prompt.
tmux_persist: If True, run agents in tmux windows.
background: If True, dispatch via claude --bg (single dispatch, no respawn).
+ workflow_mode: If set, inject the SKILL.md for this mode into the CEO prompt.
Returns:
(final_output, exit_code)
@@ -416,9 +507,18 @@ async def run_ceo_with_completion_guard(
if background:
log.info("ceo_background_dispatch", reason="--bg: single dispatch, no respawn loop")
return await invoke_agent(
- "ceo", initial_task, project_path,
- timeout=timeout, model=model, runner_name=runner_name,
- background=True, session_name=session_name, use_profile=use_profile,
+ "ceo",
+ initial_task,
+ project_path,
+ timeout=timeout,
+ model=model,
+ runner_name=runner_name,
+ background=True,
+ session_name=session_name,
+ use_profile=use_profile,
+ workflow_mode=workflow_mode,
+ settings_file=settings_file,
+ prompt_override=prompt_override,
)
# Check escape hatch
@@ -427,16 +527,27 @@ async def run_ceo_with_completion_guard(
if resolve("ceo_respawn_disabled", env_var="FACTORY_CEO_RESPAWN_DISABLED") == "1":
log.info("ceo_respawn_disabled", reason="FACTORY_CEO_RESPAWN_DISABLED=1")
return await invoke_agent(
- "ceo", initial_task, project_path,
- timeout=timeout, model=model, runner_name=runner_name,
+ "ceo",
+ initial_task,
+ project_path,
+ timeout=timeout,
+ model=model,
+ runner_name=runner_name,
session_name=session_name,
use_profile=use_profile,
tmux_persist=tmux_persist,
+ workflow_mode=workflow_mode,
+ settings_file=settings_file,
+ prompt_override=prompt_override,
)
if max_respawns is None:
max_respawns = int(
- resolve("ceo_max_respawns", env_var="FACTORY_CEO_MAX_RESPAWNS", default=str(DEFAULT_MAX_RESPAWNS))
+ resolve(
+ "ceo_max_respawns",
+ env_var="FACTORY_CEO_MAX_RESPAWNS",
+ default=str(DEFAULT_MAX_RESPAWNS),
+ )
or DEFAULT_MAX_RESPAWNS
)
@@ -463,22 +574,42 @@ async def run_ceo_with_completion_guard(
task = initial_task
final_output = ""
gap: IncompleteGap | None = None
+ captured_session_id: str | None = None
for attempt in range(max_respawns + 1):
log.info("ceo_spawn", attempt=attempt, task_preview=task[:100], mode=mode)
+ resume_sid = captured_session_id if attempt > 0 else None
+ spawn_sid = session_id if attempt == 0 else None
+
result, code = await invoke_agent(
- "ceo", task, project_path,
- timeout=timeout, model=model, runner_name=runner_name,
+ "ceo",
+ task,
+ project_path,
+ timeout=timeout,
+ model=model,
+ runner_name=runner_name,
session_name=session_name,
+ session_id=spawn_sid,
+ resume_session_id=resume_sid,
use_profile=use_profile,
tmux_persist=tmux_persist,
+ workflow_mode=workflow_mode,
+ settings_file=settings_file,
+ prompt_override=prompt_override,
)
final_output = result
+ returned_sid = _extract_session_id(project_path)
+ if returned_sid and returned_sid != captured_session_id:
+ captured_session_id = returned_sid
+ cycle_state.claude_session_id = returned_sid
+ write_cycle_state(project_path, cycle_state)
+
# User interrupt — respect it (but don't delete cycle state for later resume)
if code in (130, 143) or code > 128:
log.info("ceo_user_interrupt", code=code)
+ print_resume_hint(project_path)
return result, code
# Explicit ABORT — respect it and clean up cycle state
@@ -500,6 +631,7 @@ async def run_ceo_with_completion_guard(
if not _budget_allows_respawn(runner_name, project_path):
log.warning("ceo_budget_exceeded", gap=gap)
_write_cycle_incomplete(project_path, gap, "budget_exceeded")
+ print_resume_hint(project_path)
return result, 1
# Update cycle state with incremented respawn count
@@ -531,4 +663,5 @@ async def run_ceo_with_completion_guard(
log.warning("ceo_respawn_cap_hit", attempts=max_respawns + 1, gap=gap)
_write_cycle_incomplete(project_path, gap, "respawn_cap_hit")
+ print_resume_hint(project_path)
return final_output, 1
diff --git a/factory/checkpoint.py b/factory/checkpoint.py
index fc4df0fbd..ea244f897 100644
--- a/factory/checkpoint.py
+++ b/factory/checkpoint.py
@@ -21,11 +21,13 @@ class CheckpointState(BaseModel):
mode: str
active_experiment_id: int | None
+ active_experiment_ids: list[int] = []
completed_agents: list[str]
pending_agents: list[str]
last_eval_scores: dict[str, float]
current_hypothesis: str | None
completed_hypotheses: list[int] = []
+ parallel_branch_status: dict[str, str] = {}
plateau_count: int = 0
loop_level: Literal["inner", "outer"] = "inner"
timestamp: str
@@ -76,6 +78,11 @@ def format_checkpoint(state: CheckpointState) -> str:
f"Completed: {', '.join(state.completed_agents) or 'none'}",
f"Pending: {', '.join(state.pending_agents) or 'none'}",
]
+ if state.active_experiment_ids:
+ lines.append(f"Parallel exps: {', '.join(str(e) for e in state.active_experiment_ids)}")
+ if state.parallel_branch_status:
+ branch_info = ", ".join(f"{k}={v}" for k, v in state.parallel_branch_status.items())
+ lines.append(f"Branch status: {branch_info}")
if state.completed_hypotheses:
lines.append(f"Done hypotheses: {', '.join(str(h) for h in state.completed_hypotheses)}")
if state.last_eval_scores:
diff --git a/factory/cli.py b/factory/cli.py
deleted file mode 100644
index d8c5c3325..000000000
--- a/factory/cli.py
+++ /dev/null
@@ -1,4753 +0,0 @@
-"""CLI entry point for the factory — argparse subcommands wrapping library functions."""
-
-from __future__ import annotations
-
-import argparse
-import asyncio
-import hashlib
-import json
-import os
-import re
-import shlex
-import signal
-import subprocess
-import structlog
-import sys
-import tempfile
-import threading
-import time
-from datetime import datetime
-from pathlib import Path
-from collections.abc import Callable
-from typing import TYPE_CHECKING
-
-log = structlog.get_logger()
-_WIZARD_INPUT_PATH = Path("~/.factory/wizard_input.md")
-
-if TYPE_CHECKING:
- from factory.messages import Message
-
-
-def _run(coro): # noqa: ANN001, ANN202
- """Run an async coroutine synchronously."""
- return asyncio.run(coro)
-
-
-def _read_target_branch(project_path: Path) -> str:
- """Read target branch from .factory/config.json, falling back to git detection."""
- config_path = project_path / ".factory" / "config.json"
- if config_path.exists():
- try:
- config = json.loads(config_path.read_text())
- tb = config.get("target_branch")
- if tb:
- return tb
- except (json.JSONDecodeError, OSError):
- pass
- from factory.worktree import detect_default_branch
-
- return detect_default_branch(project_path)
-
-
-# ── banner ────────────────────────────────────────────────────
-
-
-_DASHBOARD_PORT = 8420
-
-
-def _dashboard_is_running(port: int = _DASHBOARD_PORT) -> bool:
- """Check if the dashboard is already listening on the given port."""
- import socket
-
- with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
- s.settimeout(0.5)
- return s.connect_ex(("127.0.0.1", port)) == 0
-
-
-def _ensure_dashboard(project_path: Path, port: int = _DASHBOARD_PORT) -> None:
- """Start the dashboard in the background if it's not already running.
-
- Prints the dashboard URL to stderr either way.
- """
- url = f"http://localhost:{port}"
-
- if _dashboard_is_running(port):
- print(f" Dashboard: {url} (running)", file=sys.stderr)
- return
-
- # Determine projects directory (parent of the project)
- projects_dir = project_path.parent
-
- # Start dashboard as a detached background process
- cmd = [
- sys.executable, "-m", "factory", "dashboard",
- "--projects-dir", str(projects_dir),
- "--port", str(port),
- "--host", "0.0.0.0",
- ]
- subprocess.Popen(
- cmd,
- stdout=subprocess.DEVNULL,
- stderr=subprocess.DEVNULL,
- start_new_session=True, # detach from parent process
- )
- print(f" Dashboard: {url} (started)", file=sys.stderr)
-
-
-def _print_banner(mode: str = "improve") -> None:
- """Print the Factory startup banner to stderr."""
- if os.environ.get("NO_COLOR") or not sys.stderr.isatty():
- if mode == "welcome":
- print("The Factory — Self-Evolving Meta-Harness", file=sys.stderr)
- else:
- print(f"Factory v2 — mode: {mode}", file=sys.stderr)
- return
-
- c = "\033[1;36m" # bold cyan
- d = "\033[2m" # dim
- r = "\033[0m" # reset
-
- mode_line = "" if mode == "welcome" else f"{d} Mode: {mode}{r}\n"
- banner = (
- f"\n{c} ┏━╸┏━┓┏━╸╺┳╸┏━┓┏━┓╻ ╻{r}\n"
- f"{c} ┣╸ ┣━┫┃ ┃ ┃ ┃┣┳┛┗┳┛{r}\n"
- f"{c} ╹ ╹ ╹┗━╸ ╹ ┗━┛╹┗╸ ╹ {r}\n"
- f"{d} Self-Evolving Meta-Harness{r}\n"
- f"{mode_line}"
- )
- print(banner, file=sys.stderr)
-
-
-# ── welcome wizard ─────────────────────────────────────────────
-
-
-_BRAILLE_FRAMES = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
-
-
-def _show_spinner(stop_event: threading.Event) -> None:
- """Braille spinner on stderr. Respects NO_COLOR."""
- use_color = not os.environ.get("NO_COLOR") and sys.stderr.isatty()
- idx = 0
- while not stop_event.is_set():
- frame = _BRAILLE_FRAMES[idx % len(_BRAILLE_FRAMES)]
- if use_color:
- sys.stderr.write(f"\r\033[2m Thinking... {frame}\033[0m")
- else:
- sys.stderr.write(f"\r Thinking... {frame}")
- sys.stderr.flush()
- idx += 1
- stop_event.wait(0.1)
- if use_color:
- sys.stderr.write("\r\033[2K")
- else:
- sys.stderr.write("\r" + " " * 30 + "\r")
- sys.stderr.flush()
-
-
-def _safe_is_dir(p: Path) -> bool:
- try:
- return p.is_dir()
- except (OSError, ValueError):
- return False
-
-
-def _safe_is_file(p: Path) -> bool:
- try:
- return p.is_file()
- except (OSError, ValueError):
- return False
-
-
-def _quick_classify(user_input: str) -> list[dict[str, str]] | None:
- """Deterministic fast path for paths, files, and URLs. Returns None if LLM needed."""
- stripped = user_input.strip()
-
- expanded = Path(stripped).expanduser()
- if _safe_is_dir(expanded):
- factory_dir = expanded / ".factory"
- label_improve = "Improve this project"
- label_design = "Discuss what to work on first"
- cmd_design = f'factory ceo {shlex.quote(stripped)} --mode design'
- if _safe_is_dir(factory_dir):
- cmd_improve = f'factory ceo {shlex.quote(stripped)} --mode improve'
- return [
- {"label": label_improve, "explanation": "Run the improve loop on this project.", "command": cmd_improve},
- {"label": label_design, "explanation": "Study the project and discuss priorities.", "command": cmd_design},
- ]
- cmd_improve = f'factory ceo {shlex.quote(stripped)}'
- return [
- {"label": "Set up and improve this project", "explanation": "Initialize factory and start improving.", "command": cmd_improve},
- {"label": label_design, "explanation": "Study the project and discuss priorities.", "command": cmd_design},
- ]
-
- if _safe_is_file(expanded):
- if expanded == _WIZARD_INPUT_PATH.expanduser():
- return None
- return [
- {"label": "Build from this spec file", "explanation": "Use the file as a project specification.", "command": f'factory ceo {shlex.quote(stripped)} --mode build'},
- ]
-
- if _is_github_url(stripped):
- return [
- {"label": "Clone and improve", "explanation": "Clone the repository and run the improve loop.", "command": f'factory ceo {shlex.quote(stripped)} --mode improve --clean-pr'},
- {"label": "Clone and discuss", "explanation": "Clone and discuss what to work on.", "command": f'factory ceo {shlex.quote(stripped)} --mode design --clean-pr'},
- ]
-
- return None
-
-
-_WIZARD_PROMPT = """\
-You are the Factory welcome wizard — a conversational CLI agent for Factory, \
-a multi-agent software evolution tool.
-
-Given the user's input, return a JSON object with two keys: "follow_ups" and "suggestions".
-
-## Factory command vocabulary
-
-| Command | When to use |
-|---|---|
-| `factory ceo "<idea>" --mode design` | Brainstorm and refine before building (vague ideas) |
-| `factory ceo "<idea>"` | Build directly (clear, specific descriptions) |
-| `factory ceo "<idea>" --mode research` | Research-driven optimization (metric-focused projects) |
-| `factory ceo {path} --mode improve` | Improve an existing project at a known path |
-| `factory ceo {path} --mode improve --focus "{issue}"` | Fix or add one specific thing in an existing project |
-| `factory ceo {path} --mode improve --focus {issue}` | Target a specific GitHub issue number |
-| `factory ceo {path} --mode design` | Discuss what to work on in an existing project |
-| `factory ceo {path} --mode meta` | Self-improve the factory's own agents |
-| `factory ceo {path} --mode create` | Create a new factory mode (workflow + skill) |
-
-## Information requirements per mode
-
-- **New idea** — just the idea text (already in the user input, no follow-ups needed)
-- **Existing project** — `path` is required; `issue` is optional (ask if user mentions a bug/issue/fix)
-- **Clone from URL** — URL already in user input (no follow-ups needed)
-- **Meta** — `path` to the factory repo is required
-
-## Follow-up question rules
-
-- If the user mentions a specific repo/project name but didn't provide a path → ask for `path` (type: path)
-- If the user says "fix", "issue", "bug", "problem" → ask which issue (type: issue)
-- If the user's intent is clear and all info is present (e.g. pasted a URL, gave a complete idea) → \
-no follow-ups needed (empty follow_ups array)
-- If ambiguous → ask clarifying questions via follow_ups
-- Mark follow-ups as `"optional": true` when the command works without them (e.g. issue number)
-- Commands must use `{key}` placeholders matching follow_up keys
-
-## Response format
-
-Return ONLY a JSON object (no markdown, no explanation):
-
-```
-{
- "follow_ups": [
- {
- "key": "path",
- "question": "Path to your project",
- "type": "path",
- "hint": "e.g. ~/projects/my-app",
- "optional": false
- },
- {
- "key": "issue",
- "question": "Which issue? (number or description, leave blank to skip)",
- "type": "issue",
- "hint": "e.g. 42 or 'fix the login bug'",
- "optional": true
- }
- ],
- "suggestions": [
- {
- "label": "Fix specific issue",
- "explanation": "Target a known issue in the project",
- "command": "factory ceo {path} --mode improve --focus {issue}"
- },
- {
- "label": "Discuss first",
- "explanation": "Design mode to explore what needs fixing",
- "command": "factory ceo {path} --mode design"
- }
- ]
-}
-```
-
-### Follow-up types
-
-| Type | Validation |
-|---|---|
-| `path` | Must be an existing directory. Expand `~`, resolve to absolute. |
-| `issue` | Numeric → `--focus N`. Text → `--focus "text"`. Empty → drop. |
-| `text` | Any non-empty string (required unless optional). |
-| `choice` | One of provided options (include "options" array in the follow_up). |
-
-## Rules
-
-1. The user's EXACT input must appear VERBATIM in quoted arguments — never summarize or shorten it
-2. Return 2-3 suggestions
-3. Each suggestion: {"label": "short title", "explanation": "one sentence why", "command": "factory ceo ..."}
-4. First suggestion should be the most likely intent
-5. You may add a "tip" field on the first suggestion with brief advice
-6. For new ideas, commands should use the literal user text in quotes — no placeholders
-7. For existing projects, use {path} placeholder and add a path follow-up
-8. If the user mentions fixing/improving an EXISTING project, do NOT wrap input as a new idea
-9. Every generated command MUST include an explicit `--mode` flag (improve, design, research, meta, build, or create)
-10. When the input is a GitHub URL (clone scenario), always append `--clean-pr` to the generated command
-
-User input: """
-
-
-def _classify_with_llm(
- user_input: str,
-) -> tuple[list[dict[str, object]], list[dict[str, str]]] | None:
- """Classify user input via headless runner call.
-
- Returns ``(follow_ups, suggestions)`` on success, ``None`` on failure.
- """
- from factory.runners import get_runner
-
- try:
- runner = get_runner()
- except Exception:
- return None
-
- wizard_path = _WIZARD_INPUT_PATH.expanduser()
- input_path = Path(user_input.strip()).expanduser()
- if input_path == wizard_path:
- try:
- file_content = wizard_path.read_text()
- except OSError:
- file_content = user_input
- prompt = (
- _WIZARD_PROMPT
- + json.dumps(file_content)
- + f"\n\nNote: The user's input was saved to the file {wizard_path}. "
- "Use this file path (not the raw text) in all generated factory commands."
- )
- else:
- prompt = _WIZARD_PROMPT + json.dumps(user_input)
- task = "Respond with ONLY a JSON object. No markdown, no explanation."
-
- try:
- stop_event = threading.Event()
- spinner = threading.Thread(target=_show_spinner, args=(stop_event,), daemon=True)
- spinner.start()
-
- old_quiet = os.environ.get("FACTORY_RUNNER_QUIET")
- os.environ["FACTORY_RUNNER_QUIET"] = "1"
- try:
- from factory.models import AgentRunRequest
-
- wizard_request = AgentRunRequest(
- prompt=prompt, task=task, cwd=Path.cwd(),
- timeout=60.0, skip_permissions=True, role="wizard",
- )
- run_result = _run(runner.headless(wizard_request))
- result, code = run_result.stdout, run_result.return_code
- finally:
- if old_quiet is None:
- os.environ.pop("FACTORY_RUNNER_QUIET", None)
- else:
- os.environ["FACTORY_RUNNER_QUIET"] = old_quiet
-
- stop_event.set()
- spinner.join(timeout=2.0)
-
- if code != 0:
- return None
-
- text = result.strip()
-
- # Determine whether the outermost JSON structure is an object or array.
- # Find the first meaningful JSON delimiter to pick the right parser.
- first_brace = text.find("{")
- first_bracket = text.find("[")
-
- # Try JSON array first if `[` appears before `{` (legacy format)
- if first_bracket != -1 and (first_brace == -1 or first_bracket < first_brace):
- arr_end = text.rfind("]")
- if arr_end != -1:
- try:
- parsed_arr = json.loads(text[first_bracket:arr_end + 1])
- if isinstance(parsed_arr, list) and len(parsed_arr) > 0:
- for item in parsed_arr:
- if not isinstance(item, dict) or "command" not in item or "label" not in item:
- return None
- return ([], parsed_arr[:3])
- except json.JSONDecodeError:
- pass
-
- # Try parsing as a JSON object (new format)
- if first_brace != -1:
- obj_end = text.rfind("}")
- if obj_end != -1:
- try:
- parsed = json.loads(text[first_brace:obj_end + 1])
- if isinstance(parsed, dict) and "suggestions" in parsed:
- suggestions = parsed["suggestions"]
- follow_ups = parsed.get("follow_ups", [])
- if not isinstance(suggestions, list) or len(suggestions) == 0:
- return None
- for item in suggestions:
- if not isinstance(item, dict) or "command" not in item or "label" not in item:
- return None
- return (follow_ups[:10], suggestions[:3])
- except json.JSONDecodeError:
- pass
-
- return None
- except Exception:
- stop_event.set()
- spinner.join(timeout=2.0)
- return None
-
-
-_CLI_REF = """\
- Build something new:
- factory ceo "a fasta CLI that converts protein sequences to embeddings using ESM2" --mode design
- factory ceo "an autograd engine in pure numpy with a pytorch-like API" --mode design
- factory ceo "a system that solves IMO geometry problems using lean4 proofs" --mode research
-
- Work on an existing project:
- factory ceo ~/projects/my-app --mode improve --focus "add OAuth2 login with Google and GitHub providers"
- factory ceo ~/projects/my-app --mode improve --focus 42
- factory ceo ~/projects/my-app --mode design
-
- Self-improve the factory:
- factory ceo /path/to/factory --mode meta
-
- Create a new factory mode:
- factory ceo /path/to/factory --mode create\
-"""
-
-
-def _ask_follow_ups(
- follow_ups: list[dict[str, object]],
- no_color: bool,
-) -> dict[str, str] | None:
- """Ask follow-up questions and collect validated answers.
-
- Returns a dict mapping ``key`` to the user's answer, or ``None`` if
- the user pressed EOF/Ctrl+C.
- """
- if not follow_ups:
- return {}
-
- d = "\033[2m" if not no_color else ""
- r = "\033[0m" if not no_color else ""
- print(f"\n {d}I'll need a few details:{r}", file=sys.stderr)
-
- answers: dict[str, str] = {}
-
- for fu in follow_ups:
- key = str(fu.get("key", ""))
- question = str(fu.get("question", key))
- fu_type = str(fu.get("type", "text"))
- hint = fu.get("hint", "")
- optional = bool(fu.get("optional", False))
- options = fu.get("options", [])
-
- # Build prompt
- opt_marker = " (optional)" if optional else ""
- hint_str = f" {d}{hint}{r}" if hint else ""
- if fu_type == "choice" and isinstance(options, list) and options:
- print(f"\n {question}{opt_marker}", file=sys.stderr)
- for ci, opt in enumerate(options, 1):
- print(f" {ci}. {opt}", file=sys.stderr)
- prompt_str = f" [{1}-{len(options)}]: "
- else:
- prompt_str = f"\n {question}{opt_marker}{hint_str}\n > "
-
- try:
- raw = input(prompt_str).strip()
- except (EOFError, KeyboardInterrupt):
- print(file=sys.stderr)
- return None
-
- # Validate by type
- if fu_type == "path":
- if not raw:
- if optional:
- continue
- print(" Path is required.", file=sys.stderr)
- return None
- expanded = Path(raw).expanduser().resolve()
- if not expanded.is_dir():
- print(f" Not a directory: {expanded}", file=sys.stderr)
- return None
- answers[key] = shlex.quote(str(expanded))
-
- elif fu_type == "issue":
- if not raw:
- if optional:
- continue
- print(" Issue is required.", file=sys.stderr)
- return None
- # Numeric issue → bare number, text → quoted
- if raw.isdigit():
- answers[key] = raw
- else:
- answers[key] = json.dumps(raw) # produces "quoted text"
-
- elif fu_type == "choice":
- if not raw:
- if optional:
- continue
- print(" A choice is required.", file=sys.stderr)
- return None
- if isinstance(options, list) and options:
- try:
- idx = int(raw) - 1
- except ValueError:
- print(f" Invalid choice: {raw}", file=sys.stderr)
- return None
- if idx < 0 or idx >= len(options):
- print(f" Invalid choice: {raw}", file=sys.stderr)
- return None
- answers[key] = str(options[idx])
- else:
- answers[key] = raw
-
- else: # text
- if not raw:
- if optional:
- continue
- print(" This field is required.", file=sys.stderr)
- return None
- answers[key] = raw
-
- return answers
-
-
-def _substitute_answers(
- suggestions: list[dict[str, str]],
- answers: dict[str, str],
-) -> list[dict[str, str]]:
- """Substitute ``{key}`` placeholders in suggestion commands.
-
- Drops any suggestion that still has unfilled required placeholders after
- substitution (i.e. a ``{key}`` with no answer and the corresponding
- follow-up was not optional).
- """
- result: list[dict[str, str]] = []
- placeholder_re = re.compile(r"\{(\w+)\}")
-
- for s in suggestions:
- cmd = s.get("command", "")
- # Replace known answers
- for key, value in answers.items():
- cmd = cmd.replace(f"{{{key}}}", value)
- # Check for remaining placeholders
- remaining = placeholder_re.findall(cmd)
- if remaining:
- continue # drop suggestions with unfilled placeholders
- result.append({**s, "command": cmd})
-
- return result
-
-
-def _welcome_wizard() -> int:
- """Interactive welcome: banner -> input -> classify -> present -> dispatch."""
- no_color = bool(os.environ.get("NO_COLOR")) or not sys.stderr.isatty()
-
- _print_banner("welcome")
-
- if no_color:
- print("\n What do you want to do?", file=sys.stderr)
- print(" Paste an idea, a file path, a GitHub URL, or describe what you need.\n", file=sys.stderr)
- else:
- d = "\033[2m"
- r = "\033[0m"
- print("\n What do you want to do?", file=sys.stderr)
- print(f" {d}Paste an idea, a file path, a GitHub URL, or describe what you need.{r}\n", file=sys.stderr)
-
- try:
- user_input = input(" > ").strip()
- except EOFError:
- return 0
- except KeyboardInterrupt:
- print(file=sys.stderr)
- return 130
-
- if not user_input:
- print(file=sys.stderr)
- print(_CLI_REF, file=sys.stderr)
- print(file=sys.stderr)
- try:
- user_input = input(" > ").strip()
- except EOFError:
- return 0
- except KeyboardInterrupt:
- print(file=sys.stderr)
- return 130
- if not user_input:
- return 0
-
- # -- long-input redirect -----------------------------------------------
- _expanded_check = Path(user_input).expanduser()
- if (
- len(user_input) > 200
- and not _safe_is_dir(_expanded_check)
- and not _safe_is_file(_expanded_check)
- and not _is_github_url(user_input)
- ):
- wizard_file = _WIZARD_INPUT_PATH.expanduser()
- wizard_file.parent.mkdir(parents=True, exist_ok=True)
- wizard_file.write_text(user_input)
- log.info("wizard.long_input_redirect", file=str(wizard_file), length=len(user_input))
- user_input = str(wizard_file)
-
- # -- classification ---------------------------------------------------
- follow_ups: list[dict[str, object]] = []
- suggestions: list[dict[str, str]] | None = _quick_classify(user_input)
-
- if suggestions is None:
- llm_result = _classify_with_llm(user_input)
- if llm_result is not None:
- follow_ups, suggestions = llm_result
- else:
- suggestions = None
-
- if not suggestions:
- print(file=sys.stderr)
- print(_CLI_REF, file=sys.stderr)
- return 1
-
- # -- follow-ups -------------------------------------------------------
- if follow_ups:
- answers = _ask_follow_ups(follow_ups, no_color)
- if answers is None:
- return 0 # EOF or Ctrl+C during follow-ups
- suggestions = _substitute_answers(suggestions, answers)
- if not suggestions:
- print("\n No commands available after follow-up (required info missing).", file=sys.stderr)
- return 1
-
- # -- present suggestions ----------------------------------------------
- print(file=sys.stderr)
-
- tip = None
- for i, s in enumerate(suggestions, 1):
- label = s.get("label", "Option")
- explanation = s.get("explanation", "")
- command = s.get("command", "")
- if no_color:
- print(f" [{i}] {label}", file=sys.stderr)
- if explanation:
- print(f" {explanation}", file=sys.stderr)
- print(f" {command}", file=sys.stderr)
- else:
- b = "\033[1m"
- d = "\033[2m"
- r = "\033[0m"
- print(f" {b}[{i}]{r} {label}", file=sys.stderr)
- if explanation:
- print(f" {d}{explanation}{r}", file=sys.stderr)
- print(f" {command}", file=sys.stderr)
- if i == 1 and "tip" in s:
- tip = s["tip"]
- print(file=sys.stderr)
-
- if tip:
- if no_color:
- print(f" Tip: {tip}", file=sys.stderr)
- else:
- print(f" {d}Tip: {tip}{r}", file=sys.stderr)
- print(file=sys.stderr)
-
- prompt_text = f" Pick [1-{len(suggestions)}], or Enter for [1]: "
- try:
- choice_raw = input(prompt_text).strip()
- except EOFError:
- return 0
- except KeyboardInterrupt:
- print(file=sys.stderr)
- return 130
-
- if not choice_raw:
- choice_idx = 0
- else:
- try:
- choice_idx = int(choice_raw) - 1
- except ValueError:
- print(f"\n Invalid choice: {choice_raw}", file=sys.stderr)
- return 1
-
- if choice_idx < 0 or choice_idx >= len(suggestions):
- print(f"\n Invalid choice: {choice_raw}", file=sys.stderr)
- return 1
-
- selected = suggestions[choice_idx]
- command = selected.get("command", "")
-
- print(f"\n Running: {command}\n", file=sys.stderr)
-
- # Parse the selected command and dispatch to cmd_ceo
- parser = build_parser()
- try:
- parts = shlex.split(command)
- except ValueError:
- print(f" Error: could not parse command: {command}", file=sys.stderr)
- return 1
-
- if parts and parts[0] == "factory":
- parts = parts[1:]
-
- try:
- ns = parser.parse_args(parts)
- except SystemExit:
- print(f" Error: invalid command: {command}", file=sys.stderr)
- return 1
-
- if ns.command in ("ceo", "study"):
- handler = cmd_ceo if ns.command == "ceo" else globals().get("cmd_study")
- if handler:
- return handler(ns)
-
- print(f" Error: unexpected command type: {ns.command}", file=sys.stderr)
- return 1
-
-
-# ── subcommand handlers ────────────────────────────────────────
-
-
-def cmd_home(args: argparse.Namespace) -> int:
- """Print the factory package root (where templates/ lives)."""
- factory_home = Path(__file__).resolve().parent
- print(factory_home)
- return 0
-
-
-def cmd_detect(args: argparse.Namespace) -> int:
- from factory.state import detect_state
-
- project_path = Path(args.path)
- state = detect_state(project_path)
- _emit_cli_event(project_path, "detect", {"state": state.value})
- print(state.value)
- return 0
-
-
-def cmd_discover(args: argparse.Namespace) -> int:
- from factory.discovery.eval_spec import generate_eval_spec
- from factory.discovery.generate import write_eval_script
- from factory.discovery.introspect import introspect_project
- from factory.discovery.profile import build_eval_profile
- from factory.store import ExperimentStore, ensure_factory_dir
-
- project_path = Path(args.path)
- _emit_cli_event(project_path, "discover.started", {"path": str(project_path)})
-
- profile = introspect_project(project_path)
- eval_profile = build_eval_profile(profile)
-
- eval_spec = generate_eval_spec(profile, project_path)
-
- # Persist artifacts so detect_state can find them
- store = ExperimentStore(project_path)
- ensure_factory_dir(store.factory_dir)
- _run(store.save_eval_profile(eval_profile))
- write_eval_script(eval_profile, project_path)
-
- if eval_spec:
- (store.factory_dir / "eval_spec.json").write_text(
- json.dumps(eval_spec, indent=2) + "\n"
- )
-
- from factory.discovery.spec import generate_spec, resolve_spec
-
- spec_path, spec_source = resolve_spec(project_path)
- if spec_source == "absent":
- spec_content = generate_spec(project_path, profile)
- spec_path = store.factory_dir / "SPEC.md"
- spec_path.write_text(spec_content)
- spec_source = "generated"
-
- dims = [d.name for d in eval_profile.dimensions]
- _emit_cli_event(project_path, "discover.completed", {
- "language": profile.language,
- "framework": profile.framework,
- "dimensions": dims,
- "eval_spec_count": len(eval_spec),
- })
-
- output = {
- "project": profile.model_dump(),
- "eval_profile": eval_profile.model_dump(),
- "eval_spec": eval_spec,
- "spec": {"path": str(spec_path), "source": spec_source},
- }
- print(json.dumps(output, indent=2))
-
- if profile.discovered_evals:
- print("\nDiscovered project eval scripts:", file=sys.stderr)
- for e in profile.discovered_evals:
- print(f" - {e.name}: {e.command}", file=sys.stderr)
- print(
- "\nTo use these as project-specific eval dimensions, add them to "
- "factory.md under ## Project Eval:",
- file=sys.stderr,
- )
- for e in profile.discovered_evals:
- print(f" - name: {e.name}", file=sys.stderr)
- print(f" command: {e.command}", file=sys.stderr)
- print(" parse: json", file=sys.stderr)
-
- return 0
-
-
-def cmd_init(args: argparse.Namespace) -> int:
- from factory.store import ExperimentStore, ensure_factory_dir
-
- project_path = Path(args.path)
- store = ExperimentStore(project_path)
-
- factory_md = project_path / "factory.md"
- if not factory_md.exists():
- print("Error: factory.md not found. Create it first or use --reparse.", file=sys.stderr)
- return 1
-
- # Ensure .factory/ dir exists so reparse_config can write config.json
- ensure_factory_dir(store.factory_dir)
- config = _run(store.reparse_config())
-
- if args.reparse:
- print(f"Reparsed config: goal={config.goal!r}")
- else:
- _run(store.init(config))
- print(f"Initialized .factory/ — goal={config.goal!r}")
- return 0
-
-
-def cmd_eval(args: argparse.Namespace) -> int:
- from factory.eval.runner import run_eval
- from factory.store import ExperimentStore
-
- project_path = Path(args.path)
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
- skip_project_eval = getattr(args, "skip_project_eval", False)
- _emit_cli_event(project_path, "eval.started", {"command": config.eval_command})
- score = _run(run_eval(
- config.eval_command, project_path, config.eval_threshold,
- project_eval=config.project_eval or None,
- eval_weights=config.eval_weights,
- skip_project_eval=skip_project_eval,
- test_timeout=config.test_timeout,
- ))
- _emit_cli_event(project_path, "eval.completed", {
- "composite": score.total,
- "passed": score.passed,
- "dimensions": len(score.results),
- })
- print(json.dumps(score.model_dump(), indent=2, default=str))
- return 0 if score.passed else 1
-
-
-def cmd_guard(args: argparse.Namespace) -> int:
- from factory.eval.guards import check_all
-
- project_path = Path(args.path)
-
- # Optionally load scope and fixed surfaces from factory config
- scope = None
- fixed_surfaces = None
- if args.check_scope or args.check_surfaces:
- from factory.store import ExperimentStore
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
- if args.check_scope:
- scope = config.scope
- if args.check_surfaces:
- fixed_surfaces = config.fixed_surfaces
-
- violations = check_all(
- project_path, args.baseline, allowed_scope=scope, fixed_surfaces=fixed_surfaces,
- )
- _emit_cli_event(project_path, "guard.completed", {
- "violations": len(violations),
- "clean": len(violations) == 0,
- })
- if violations:
- for v in violations:
- print(f"VIOLATION: {v}")
- return 1
- print("clean")
- return 0
-
-
-def cmd_begin(args: argparse.Namespace) -> int:
- from factory.store import ExperimentStore
-
- project_path = Path(args.path)
- store = ExperimentStore(project_path)
- exp_id = _run(store.begin(args.hypothesis))
- _emit_cli_event(project_path, "experiment.begin", {
- "exp_id": exp_id,
- "hypothesis": args.hypothesis[:200],
- })
- print(exp_id)
- return 0
-
-
-def cmd_finalize(args: argparse.Namespace) -> int:
- from factory.precheck import run_precheck
- from factory.store import ExperimentStore
- from factory.models import ExperimentRecord, FactoryConfig
-
- project_path = Path(args.path)
- store = ExperimentStore(project_path)
- score_before = getattr(args, "score_before", None)
- score_after = getattr(args, "score_after", None)
- verdict = args.verdict
- notes = args.notes or ""
-
- force = getattr(args, "force", False)
-
- if verdict == "keep" and not force:
- config_path = project_path / ".factory" / "config.json"
- if config_path.exists():
- config = FactoryConfig(**json.loads(config_path.read_text()))
- history = _run(store.load_history())
- history_dicts = [r.model_dump() for r in history]
-
- precheck_result = run_precheck(
- score_before=score_before,
- score_after=score_after,
- threshold=config.eval_threshold,
- hypothesis=args.hypothesis or "",
- history=history_dicts,
- project_path=project_path,
- hard_constraints=config.hard_constraints,
- exp_id=args.id,
- )
-
- if not precheck_result.passed:
- verdict = "revert"
- failure_detail = "; ".join(precheck_result.blocking_failures)
- notes = f"[OVERRIDDEN by finalize gate] precheck failed: {failure_detail}. {notes}"
- _emit_cli_event(project_path, "verdict.overridden", {
- "exp_id": args.id,
- "original_verdict": "keep",
- "new_verdict": "revert",
- "reason": failure_detail,
- })
- print(f"Finalize gate: precheck FAILED — overriding keep to revert ({failure_detail})")
-
- if verdict == "keep" and force:
- _emit_cli_event(project_path, "verdict.force_kept", {
- "exp_id": args.id,
- })
- print("Finalize gate: precheck SKIPPED (--force)")
-
- cost = args.cost
- if cost is None:
- from factory.events import load_events, sum_agent_costs
- exp_events = load_events(project_path)
- exp_start = None
- for ev in reversed(exp_events):
- if ev.get("type") == "experiment.begin":
- ts_str = ev.get("timestamp")
- if ts_str:
- exp_start = datetime.fromisoformat(ts_str)
- break
- cost = sum_agent_costs(project_path, since=exp_start) or None
-
- record = ExperimentRecord(
- id=args.id,
- timestamp=datetime.now(),
- hypothesis=args.hypothesis or "",
- change_summary=args.summary or "",
- issue_number=args.issue,
- pr_number=args.pr,
- score_before=score_before,
- score_after=score_after,
- delta=None,
- verdict=verdict,
- cost_usd=cost,
- notes=notes,
- )
- _run(store.finalize(args.id, record))
- delta = None
- if score_before is not None and score_after is not None:
- delta = round(score_after - score_before, 6)
- _emit_cli_event(project_path, "experiment.finalize", {
- "exp_id": args.id,
- "verdict": verdict,
- "hypothesis": (args.hypothesis or "")[:200],
- "pr_number": args.pr,
- "issue_number": args.issue,
- "score_before": score_before,
- "score_after": score_after,
- "delta": delta,
- "cost_usd": cost,
- })
- print(f"Finalized experiment {args.id} — verdict={verdict}")
- return 0
-
-
-def cmd_message(args: argparse.Namespace) -> int:
- """Queue a message for the CEO agent."""
- from factory.messages import write_message
-
- project_path = Path(args.path).resolve()
- if not project_path.exists():
- print(f"Error: project path does not exist: {project_path}", file=sys.stderr)
- return 1
- if not (project_path / ".factory").exists():
- print(f"Error: not a factory project (no .factory/ directory): {project_path}", file=sys.stderr)
- return 1
- if not args.text or not args.text.strip():
- print("Error: message text must not be empty.", file=sys.stderr)
- return 1
- try:
- msg = write_message(project_path, args.text)
- except ValueError as exc:
- print(f"Error: {exc}", file=sys.stderr)
- return 1
- print(f"Message queued (id={msg.id}). The CEO will see it at the start of the next cycle.")
- return 0
-
-
-def cmd_history(args: argparse.Namespace) -> int:
- from factory.store import ExperimentStore
- from factory.strategy import format_tiered_history
-
- store = ExperimentStore(Path(args.path))
- records = _run(store.load_history())
- if not records:
- print("No experiments recorded.")
- return 0
-
- record_dicts = [
- {
- "id": r.id,
- "hypothesis": r.hypothesis,
- "verdict": r.verdict,
- "delta": r.delta,
- "change_summary": r.change_summary,
- "cost_usd": r.cost_usd,
- }
- for r in records
- ]
- print(format_tiered_history(record_dicts))
- return 0
-
-
-def cmd_notify(args: argparse.Namespace) -> int:
- from factory.notify.telegram import TelegramNotifier
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- records = _run(store.load_history())
- notifier = TelegramNotifier()
- _run(notifier.send_digest(project_path.name, records, None))
- print("Digest sent.")
- return 0
-
-
-def cmd_study(args: argparse.Namespace) -> int:
- from factory.study import study_project
-
- project_path = Path(args.path)
- _emit_cli_event(project_path, "study.started", {})
- kwargs: dict[str, object] = {}
- projects_dir = getattr(args, "projects_dir", None)
- if projects_dir:
- kwargs["projects_dir"] = str(Path(projects_dir).expanduser().resolve())
- focus = getattr(args, "focus", None)
- summary = study_project(project_path, focus=focus, **kwargs)
-
- # Write to .factory/strategy/observations.md
- obs_path = project_path / ".factory" / "strategy" / "observations.md"
- obs_path.parent.mkdir(parents=True, exist_ok=True)
- obs_path.write_text(summary)
-
- _emit_cli_event(project_path, "study.completed", {"chars": len(summary)})
- print(summary)
- return 0
-
-
-def cmd_backlog_remove(args: argparse.Namespace) -> int:
- from factory.study import remove_backlog_item
-
- project_path = Path(args.path)
- item_text = args.item
- if remove_backlog_item(project_path, item_text):
- _emit_cli_event(project_path, "backlog.removed", {"item": item_text})
- print(f"Removed backlog item: {item_text}")
- return 0
- print(f"Backlog item not found: {item_text}", file=sys.stderr)
- return 1
-
-
-def cmd_backlog_list(args: argparse.Namespace) -> int:
- from factory.study import _migrate_legacy_backlog, _parse_backlog_items, _persist_backlog_items
-
- project_path = Path(args.path)
- _migrate_legacy_backlog(project_path)
- items = _parse_backlog_items(project_path)
- if not items:
- print("No backlog items.")
- return 0
- _persist_backlog_items(project_path, items)
- for item in items:
- print(f"- {item}")
- return 0
-
-
-def cmd_backlog_add(args: argparse.Namespace) -> int:
- from factory.study import add_backlog_item
-
- project_path = Path(args.path)
- item_text = args.item
- if add_backlog_item(project_path, item_text):
- _emit_cli_event(project_path, "backlog.added", {"item": item_text})
- print(f"Added backlog item: {item_text}")
- return 0
- print(f"Backlog item already exists: {item_text}", file=sys.stderr)
- return 1
-
-
-def cmd_status(args: argparse.Namespace) -> int:
- from factory.state import detect_state
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- state = detect_state(project_path)
- print(f"Project: {project_path}")
- print(f"State: {state.value}")
-
- if state.value == "has_factory":
- store = ExperimentStore(project_path)
- try:
- config = _run(store.read_config())
- except FileNotFoundError:
- config = None
-
- # Try to read latest eval score
- profile = _run(store.read_eval_profile())
- if profile:
- dims = ", ".join(d.name for d in profile.dimensions)
- print(f"Eval dimensions: {dims}")
-
- records = _run(store.load_history())
- if records:
- kept = sum(1 for r in records if r.verdict == "keep")
- reverted = sum(1 for r in records if r.verdict == "revert")
- total = len(records)
- print(f"Experiments: {total} total ({kept} kept, {reverted} reverted)")
- last = records[-1]
- print(f'Last experiment: #{last.id} — "{last.hypothesis}" ({last.verdict})')
- scores = [r.score_after for r in records if r.score_after is not None]
- if scores:
- print(f"Latest score: {scores[-1]:.3f}")
- else:
- print("Experiments: none")
-
- if config:
- print(f"Goal: {config.goal}")
-
- return 0
-
-
-def cmd_summary(args: argparse.Namespace) -> int:
- """Generate an end-of-session summary report."""
- from factory.summary import format_summary, generate_summary, save_summary
-
- project_path = Path(args.path).resolve()
- _emit_cli_event(project_path, "summary.started", {})
- summary = _run(generate_summary(project_path))
- output = format_summary(summary)
- _run(save_summary(project_path, summary))
- _emit_cli_event(project_path, "summary.completed", {
- "kept": len(summary.experiments_kept),
- "reverted": len(summary.experiments_reverted),
- "errored": len(summary.experiments_errored),
- "backlog": len(summary.backlog_remaining),
- })
- print(output)
- return 0
-
-
-def cmd_export(args: argparse.Namespace) -> int:
- """Export a complete project snapshot as JSON to stdout."""
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- factory_dir = project_path / ".factory"
-
- if not factory_dir.is_dir():
- print(f"Error: {factory_dir} does not exist. Run 'factory init' first.", file=sys.stderr)
- return 1
-
- store = ExperimentStore(project_path)
-
- # Read config
- try:
- config = _run(store.read_config())
- config_data = config.model_dump()
- except FileNotFoundError:
- config_data = None
-
- # Read eval profile
- eval_profile = _run(store.read_eval_profile())
- eval_profile_data = eval_profile.model_dump() if eval_profile else None
-
- # Read experiment history
- records = _run(store.load_history())
- experiments_data = [r.model_dump() for r in records]
-
- # Read strategy
- strategy = _run(store.read_strategy())
-
- # Assemble snapshot
- snapshot = {
- "config": config_data,
- "eval_profile": eval_profile_data,
- "experiments": experiments_data,
- "strategy": strategy,
- "meta": {
- "project_path": str(project_path),
- "timestamp": datetime.now().isoformat(),
- "factory_version": "0.1.0",
- },
- }
-
- json.dump(snapshot, sys.stdout, indent=2, default=str)
- print() # trailing newline
- return 0
-
-
-def cmd_report_update(args: argparse.Namespace) -> int:
- """Generate a performance report for a project."""
- from factory.report import save_performance_report
-
- project_path = Path(args.path).resolve()
- report_path = save_performance_report(project_path)
- print(f"Performance report written to {report_path}")
- return 0
-
-
-def cmd_registry_list(args: argparse.Namespace) -> int:
- """List all registered factory-managed projects."""
- from factory.registry import list_projects
-
- projects = list_projects()
- if not projects:
- print("No registered projects. Projects are auto-registered when experiments begin.")
- return 0
-
- header = f"{'Name':<30} {'Experiments':>11} {'Score':>8} {'Last Experiment':<20}"
- print(header)
- print("-" * len(header))
- for p in projects:
- score = f"{p.latest_score:.3f}" if p.latest_score is not None else "n/a"
- last = p.last_experiment_at.strftime("%Y-%m-%d %H:%M") if p.last_experiment_at else "never"
- print(f"{p.name:<30} {p.experiment_count:>11} {score:>8} {last:<20}")
- return 0
-
-
-def cmd_ace(args: argparse.Namespace) -> int:
- """Run ACE self-improvement on agent playbooks."""
- from factory.ace.curator import curate_playbook
- from factory.ace.models import Playbook
- from factory.ace.paths import seed_user_playbooks, user_playbook_path, user_playbooks_dir
- from factory.ace.reflector import reflect_on_experiments, update_counters_from_experiments
- from factory.insights import discover_projects, load_all_histories
-
- project_path = Path(args.path).resolve()
- projects_dir_raw = getattr(args, "projects_dir", None)
- if projects_dir_raw:
- projects_dir = Path(projects_dir_raw).expanduser().resolve()
- else:
- from factory.registry import get_project_paths
- reg_paths = get_project_paths()
- if reg_paths:
- projects_dir = reg_paths[0].parent
- else:
- projects_dir = project_path.parent
- dry_run = getattr(args, "dry_run", False)
-
- _emit_cli_event(project_path, "ace.started", {"dry_run": dry_run})
-
- # Step 0: Update counters on existing playbooks from experiment verdicts
- user_dir = user_playbooks_dir()
- if not dry_run:
- seed_user_playbooks()
- project_paths = discover_projects(projects_dir)
- if project_path not in project_paths:
- project_paths.append(project_path)
- histories = load_all_histories(project_paths)
- all_records = [r for records in histories.values() for r in records]
- if all_records:
- update_counters_from_experiments(user_dir, all_records)
-
- # Step 1: Reflect — analyze experiment data, generate candidate bullets
- candidates = reflect_on_experiments(projects_dir, project_path)
-
- if not candidates:
- print("No candidate playbook bullets generated (not enough experiment data).")
- return 0
-
- # Step 2: Curate — merge with existing playbooks, prune
- roles_updated = []
- for role, items in candidates.items():
- playbook_path = user_playbook_path(role)
- if playbook_path.exists():
- existing = Playbook.from_markdown(playbook_path.read_text())
- else:
- existing = Playbook.empty(role)
-
- updated = curate_playbook(existing, items)
-
- if dry_run:
- print(f"\n{'=' * 60}")
- print(f"DRY RUN — {role} ({len(items)} candidates → {len(updated.items)} items)")
- print(f"{'=' * 60}")
- print(updated.to_markdown())
- else:
- playbook_path.write_text(updated.to_markdown())
- print(f" {role}: {len(updated.items)} items → {playbook_path}")
- roles_updated.append(role)
-
- _emit_cli_event(project_path, "ace.completed", {
- "roles_updated": roles_updated,
- "candidates": len(candidates),
- "dry_run": dry_run,
- })
-
- if not dry_run:
- print(f"\nPlaybooks updated in {user_dir}")
-
- return 0
-
-
-def cmd_ace_stats(args: argparse.Namespace) -> int:
- """Print a table of all playbook items with their helpful/harmful/net counters."""
- from factory.ace.models import Playbook
- from factory.ace.paths import DEFAULTS_DIR, user_playbooks_dir
-
- user_dir = user_playbooks_dir()
-
- all_items: list[tuple[str, str, int, int, int, str]] = []
- seen_roles: set[str] = set()
-
- # User-local playbooks take priority
- for playbook_path in sorted(user_dir.glob("*.md")):
- role = playbook_path.stem
- seen_roles.add(role)
- playbook = Playbook.from_markdown(playbook_path.read_text())
- for item in playbook.items:
- all_items.append((
- role,
- item.id,
- item.helpful,
- item.harmful,
- item.net_score,
- item.content[:60],
- ))
-
- # Fall back to defaults for roles without user-local
- for playbook_path in sorted(DEFAULTS_DIR.glob("*.md")):
- role = playbook_path.stem
- if role in seen_roles:
- continue
- playbook = Playbook.from_markdown(playbook_path.read_text())
- for item in playbook.items:
- all_items.append((
- role,
- item.id,
- item.helpful,
- item.harmful,
- item.net_score,
- item.content[:60],
- ))
-
- if not all_items:
- print("No playbook items found.")
- return 0
-
- # Print table header
- header = f"{'Role':<12} {'ID':<14} {'helpful':>7} {'harmful':>7} {'net':>5} Text"
- print(header)
- print("-" * len(header))
-
- total_helpful = 0
- total_harmful = 0
- for role, item_id, helpful, harmful, net, text in all_items:
- print(f"{role:<12} {item_id:<14} {helpful:>7} {harmful:>7} {net:>5} {text}")
- total_helpful += helpful
- total_harmful += harmful
-
- print("-" * len(header))
- print(
- f"Total: {len(all_items)} bullets, "
- f"helpful={total_helpful}, harmful={total_harmful}, "
- f"net={total_helpful - total_harmful}"
- )
- return 0
-
-
-def cmd_digest(args: argparse.Namespace) -> int:
- from factory.digest import format_digest, scan_vault
-
- target_date = None
- if args.date:
- from datetime import date as date_cls
- target_date = date_cls.fromisoformat(args.date)
-
- projects = scan_vault(target_date=target_date, days=args.days)
- output = format_digest(projects, target_date=target_date, days=args.days)
- print(output)
- return 0
-
-
-def cmd_insights(args: argparse.Namespace) -> int:
- from factory.insights import (
- analyze,
- discover_projects,
- format_insights,
- load_all_histories,
- )
-
- project_path = Path(args.path).resolve()
- projects_dir_raw = getattr(args, "projects_dir", None)
- if projects_dir_raw:
- projects_dir = Path(projects_dir_raw).expanduser().resolve()
- else:
- from factory.registry import get_project_paths
- reg_paths = get_project_paths()
- if reg_paths:
- projects_dir = reg_paths[0].parent
- else:
- projects_dir = project_path.parent
- _emit_cli_event(project_path, "insights.started", {"projects_dir": str(projects_dir)})
- project_paths = discover_projects(projects_dir)
-
- if not project_paths:
- print("No factory-managed projects found.")
- return 0
-
- histories = load_all_histories(project_paths)
- if not histories:
- print("No experiment histories found.")
- return 0
-
- insights = analyze(histories)
- report = format_insights(insights)
-
- # Write to .factory/strategy/insights.md
- out_path = project_path / ".factory" / "strategy" / "insights.md"
- out_path.parent.mkdir(parents=True, exist_ok=True)
- out_path.write_text(report)
-
- _emit_cli_event(project_path, "insights.completed", {
- "projects_analyzed": len(project_paths),
- "total_experiments": sum(len(h) for h in histories.values()),
- })
- print(report)
- print(f"\nWritten to {out_path}")
- return 0
-
-
-def cmd_archive(args: argparse.Namespace) -> int:
- from factory.obsidian.notes import (
- update_memory_index,
- write_experiment_note,
- write_project_dashboard,
- write_strategy_note,
- )
- from factory.state import detect_state
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- records = _run(store.load_history())
-
- if not records:
- print("Nothing to archive.")
- return 0
-
- project_name = project_path.name
- state = detect_state(project_path).value
-
- # Write experiment notes
- for record in records:
- write_experiment_note(project_name, record)
-
- # Build eval_dimensions list for dashboard
- eval_dimensions: list[dict] | None = None
- profile = _run(store.read_eval_profile())
- if profile:
- eval_dimensions = [d.model_dump() for d in profile.dimensions]
-
- # Current score from latest experiment
- scores = [r.score_after for r in records if r.score_after is not None]
- current_score = scores[-1] if scores else None
-
- write_project_dashboard(project_name, state, current_score, records, eval_dimensions)
-
- # Write strategy note if strategy exists
- strategy_text = _run(store.read_strategy())
- if strategy_text:
- write_strategy_note(project_name, strategy_text)
-
- # Update MEMORY.md index
- update_memory_index()
-
- from factory.obsidian.notes import vault_path as get_vault_path
-
- vp = get_vault_path()
- _emit_cli_event(project_path, "archive.completed", {
- "experiments": len(records),
- "vault": str(vp) if vp else "none",
- })
- if vp:
- print(f"Archived {len(records)} experiments to {vp}")
- else:
- print(f"Archived {len(records)} experiments (vault not configured, skipped vault writes)")
- return 0
-
-
-def cmd_precheck(args: argparse.Namespace) -> int:
- """Run hard precheck gate before keep/revert decision."""
- from factory.precheck import run_precheck
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
-
- # Load history as dicts for anti-pattern matching
- records = _run(store.load_history())
- history = [
- {
- "id": r.id,
- "hypothesis": r.hypothesis,
- "verdict": r.verdict,
- "delta": r.delta,
- }
- for r in records
- ]
-
- result = run_precheck(
- score_before=args.score_before,
- score_after=args.score_after,
- threshold=config.eval_threshold,
- hypothesis=args.hypothesis or "",
- history=history,
- project_path=project_path,
- baseline_sha=args.baseline,
- allowed_scope=config.scope if args.baseline else None,
- similarity_threshold=args.similarity_threshold,
- fixed_surfaces=config.fixed_surfaces if config.fixed_surfaces else None,
- )
-
- # Output as JSON for machine consumption
- output = {
- "passed": result.passed,
- "checks": [
- {"name": c.name, "passed": c.passed, "detail": c.detail}
- for c in result.checks
- ],
- "blocking_failures": result.blocking_failures,
- }
- print(json.dumps(output, indent=2))
-
- _emit_cli_event(project_path, "precheck.completed", {
- "passed": result.passed,
- "failures": result.blocking_failures,
- })
-
- return 0 if result.passed else 1
-
-
-def cmd_leakage_check(args: argparse.Namespace) -> int:
- """Check text for ground truth leakage against fixed surface fingerprints."""
- from factory.research.leakage import fingerprint_fixed_surfaces, scan_for_leakage
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
-
- if not config.fixed_surfaces:
- print("SKIP: no fixed_surfaces configured in factory.md")
- return 0
-
- fingerprints = fingerprint_fixed_surfaces(project_path, config.fixed_surfaces)
- if not fingerprints:
- print("SKIP: no fixed surface files found to fingerprint")
- return 0
-
- text = args.text
- if args.text_file:
- text_path = Path(args.text_file)
- if not text_path.is_file():
- print(f"ERROR: text file not found: {args.text_file}")
- return 1
- text = text_path.read_text()
- elif args.text is None:
- import sys
- if not sys.stdin.isatty():
- text = sys.stdin.read()
- else:
- print("ERROR: provide --text, --text-file, or pipe to stdin")
- return 1
-
- report = scan_for_leakage(text, fingerprints, args.sensitivity)
-
- output = {
- "flagged": report.flagged,
- "risk_level": report.risk_level,
- "findings": [
- {
- "source_file": f.source_file,
- "leaked_token": f.leaked_token,
- "context": f.context,
- "leak_type": f.leak_type,
- }
- for f in report.findings
- ],
- }
- print(json.dumps(output, indent=2))
- return 1 if report.risk_level in ("medium", "high") else 0
-
-
-def cmd_validate_research(args: argparse.Namespace) -> int:
- """Validate research mode configuration for ground truth isolation."""
- from factory.research.leakage import validate_research_config
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
-
- errors = validate_research_config(config, project_path)
-
- if not errors:
- print("VALID: research config passes all ground truth isolation checks")
- return 0
-
- for error in errors:
- print(f"ERROR: {error}")
- return 1
-
-
-def cmd_refine_status(args: argparse.Namespace) -> int:
- """Print refinement state and regrounding output."""
- from factory.refine_state import format_status, read_state
-
- project_path = Path(args.path).resolve()
- state = read_state(project_path)
- print(format_status(state))
- return 0
-
-
-def cmd_refine_begin(args: argparse.Namespace) -> int:
- """Record a new refinement entry and emit regrounding output."""
- from factory.refine_state import begin_refinement, format_begin
-
- project_path = Path(args.path).resolve()
- request = (args.request or "").strip()
- if not request:
- print("Error: --request must not be empty.", file=sys.stderr)
- return 1
- entry = begin_refinement(project_path, request)
- _emit_cli_event(project_path, "refine.begin", {
- "sequence": entry.sequence,
- "request": request[:200],
- })
- print(format_begin(entry))
- return 0
-
-
-def cmd_refine_complete(args: argparse.Namespace) -> int:
- """Update the last refinement entry with a verdict."""
- from factory.refine_state import complete_refinement, read_state
-
- project_path = Path(args.path).resolve()
- verdict = args.verdict
- state = read_state(project_path)
- if not state.entries:
- print("Warning: no refinement entries found — nothing to complete.", file=sys.stderr)
- return 1
- last = state.entries[-1]
- mutated = complete_refinement(project_path, verdict)
- if not mutated:
- print(f"Warning: refinement #{last.sequence} is already completed.", file=sys.stderr)
- return 1
- _emit_cli_event(project_path, "refine.complete", {
- "sequence": last.sequence,
- "verdict": verdict,
- })
- print(f"Refinement #{last.sequence} completed — verdict: {verdict}")
- return 0
-
-
-def cmd_clean_pr(args: argparse.Namespace) -> int:
- """Strip non-essential artifacts from a PR diff."""
- from factory.clean_pr import strip_pr_artifacts
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- config = _run(store.read_config())
-
- base_branch = config.target_branch or "main"
- exp_id = getattr(args, "exp", None)
-
- include = config.clean_pr_include or None
- exclude = config.clean_pr_exclude or None
-
- keep, stripped = strip_pr_artifacts(
- project_path,
- include=include,
- exclude=exclude,
- base_branch=base_branch,
- exp_id=exp_id,
- )
-
- if not stripped:
- print("Nothing to strip — all files are essential.")
- return 0
-
- print(f"Kept {len(keep)} files, stripped {len(stripped)} files:")
- for f in stripped:
- print(f" - {f}")
- return 0
-
-
-def cmd_baseline(args: argparse.Namespace) -> int:
- """Fetch stored eval baseline for a commit from the eval-data branch."""
- from factory.baseline import fetch_baseline
-
- project_path = Path(args.path).resolve()
-
- commit = getattr(args, "commit", None)
- if not commit:
- result = subprocess.run(
- ["git", "merge-base", "HEAD", _read_target_branch(project_path)],
- cwd=project_path,
- capture_output=True,
- text=True,
- )
- if result.returncode != 0:
- print("Error: could not determine merge-base commit.", file=sys.stderr)
- return 1
- commit = result.stdout.strip()
-
- baseline = fetch_baseline(project_path, commit_sha=commit)
- if baseline is None:
- print(f"No baseline found for commit {commit[:12]}", file=sys.stderr)
- return 1
-
- print(json.dumps(baseline, indent=2, default=str))
- return 0
-
-
-def cmd_review(args: argparse.Namespace) -> int:
- """Format and optionally post a review on a GitHub PR."""
- from factory.review import ReviewPayload, format_review, post_review
-
- guard_results: dict[str, str] = {}
- if args.guards:
- for pair in args.guards.split(","):
- if ":" in pair:
- k, v = pair.split(":", 1)
- guard_results[k.strip()] = v.strip()
-
- payload = ReviewPayload(
- verdict=args.verdict.upper(),
- reason=args.reason or "",
- score_before=args.score_before,
- score_after=args.score_after,
- threshold=args.threshold,
- guard_results=guard_results,
- precheck_summary=args.precheck_summary or "",
- code_notes=[n.strip() for n in args.code_notes.split("|")] if args.code_notes else [],
- experiment_id=args.experiment_id,
- hypothesis=args.hypothesis or "",
- )
-
- review_body = format_review(payload)
-
- if args.pr and not args.dry_run:
- success = post_review(args.pr, review_body, payload.verdict, repo=args.repo)
- if success:
- print(f"Review posted on PR #{args.pr}")
- else:
- print(f"Failed to post review on PR #{args.pr}", file=sys.stderr)
- print(review_body)
- return 1
- else:
- print(review_body)
-
- return 0
-
-
-def cmd_checkpoint(args: argparse.Namespace) -> int:
- """Show or save a checkpoint for crash-resilient resume."""
- from factory.checkpoint import (
- CheckpointState,
- clear_checkpoint,
- format_checkpoint,
- load_checkpoint,
- save_checkpoint,
- )
-
- project_path = Path(args.path).resolve()
-
- if args.clear:
- clear_checkpoint(project_path)
- print("Checkpoint cleared.")
- return 0
-
- if args.save:
- completed_hyps: list[int] = []
- if args.completed_hypotheses:
- completed_hyps = [int(x.strip()) for x in args.completed_hypotheses.split(",") if x.strip()]
- state = CheckpointState(
- mode=args.mode or "improve",
- active_experiment_id=args.experiment,
- completed_agents=[a.strip() for a in args.completed.split(",")] if args.completed else [],
- pending_agents=[a.strip() for a in args.pending.split(",")] if args.pending else [],
- last_eval_scores=json.loads(args.scores) if args.scores else {},
- current_hypothesis=args.hypothesis,
- completed_hypotheses=completed_hyps,
- timestamp=datetime.now().isoformat(),
- )
- save_checkpoint(project_path, state)
- print(f"Checkpoint saved to {project_path / '.factory' / 'checkpoint.json'}")
- return 0
-
- # Show current checkpoint
- loaded = load_checkpoint(project_path)
- if loaded is None:
- print("No checkpoint found.")
- return 0
- print(format_checkpoint(loaded))
- return 0
-
-
-def cmd_log(args: argparse.Namespace) -> int:
- """Append a structured event to .factory/events.jsonl."""
- import json as json_mod
-
- from factory.events import emit_event
-
- project_path = Path(args.path).resolve()
- event_type = args.event_type
-
- if args.data:
- try:
- data = json_mod.loads(args.data)
- except json_mod.JSONDecodeError as exc:
- print(f"Error: invalid JSON in --data: {exc}", file=sys.stderr)
- return 1
- else:
- data = {}
-
- emit_event(project_path, event_type, agent=args.agent, data=data)
- return 0
-
-
-def cmd_resume(args: argparse.Namespace) -> int:
- """Load checkpoint and display resume context for the CEO."""
- from factory.checkpoint import format_checkpoint, load_checkpoint
-
- project_path = Path(args.path).resolve()
- state = load_checkpoint(project_path)
- if state is None:
- print("No checkpoint found. Nothing to resume.")
- return 1
-
- print("=== Resume Context ===")
- print(format_checkpoint(state))
- print()
- print("The CEO should resume from this state, skipping completed agents")
- print(f"and continuing with: {', '.join(state.pending_agents) or 'none'}")
- return 0
-
-
-def cmd_research(args: argparse.Namespace) -> int:
- """Print citation index table and coverage summary."""
- from factory.research_index import build_citation_index, citation_coverage
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- records = _run(store.load_history())
-
- if not records:
- print("No experiments recorded.")
- return 0
-
- index = build_citation_index(project_path)
- coverage = citation_coverage(project_path)
-
- # Print table
- header = f"{'ID':>4} {'Hypothesis':<52} Citations"
- print(header)
- print("-" * len(header))
- for r in records:
- hyp = r.hypothesis[:50]
- cites = index.get(r.id, [])
- cite_str = ", ".join(cites) if cites else "-"
- print(f"{r.id:>4} {hyp:<52} {cite_str}")
-
- # Summary
- cited_count = sum(1 for r in records if r.research_citations)
- print()
- print(f"{len(records)} experiments, {cited_count} cited, coverage {coverage:.0%}")
- return 0
-
-
-def cmd_backfill_citations(args: argparse.Namespace) -> int:
- """Backfill citations from experiment text into .factory/citations.json."""
- from factory.research_index import backfill_citations
-
- project_path = Path(args.path).resolve()
- index = backfill_citations(project_path)
- print(f"Backfilled citations for {len(index)} experiments")
- for exp_id, cites in sorted(index.items(), key=lambda x: int(x[0])):
- print(f" #{exp_id}: {', '.join(cites[:5])}")
- return 0
-
-
-def cmd_backfill_archive(args: argparse.Namespace) -> int:
- """Generate archive notes for experiments missing from .factory/archive/experiments/."""
- from factory.backfill_archive import backfill_archive
-
- project_path = Path(args.path).resolve()
- result = _run(backfill_archive(project_path))
- print(
- f"Archive backfill complete: {result['existed']} existed, "
- f"{result['created']} created, {result['total']} total"
- )
- return 0
-
-
-def cmd_diff(args: argparse.Namespace) -> int:
- """Compare two experiments side-by-side."""
- from factory.analysis import compare_experiments, format_comparison
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- comparison = compare_experiments(store, args.id_a, args.id_b)
- print(format_comparison(comparison))
- return 0
-
-
-def cmd_explain(args: argparse.Namespace) -> int:
- """Explain a single experiment with FEEC category and dimension breakdown."""
- from factory.analysis import explain_experiment, format_explanation
- from factory.store import ExperimentStore
-
- project_path = Path(args.path).resolve()
- store = ExperimentStore(project_path)
- explanation = explain_experiment(store, args.id)
- print(format_explanation(explanation))
- return 0
-
-
-def cmd_config(args: argparse.Namespace) -> int:
- """Manage ~/.factory/config.toml."""
- sub = getattr(args, "config_command", None)
- if not sub:
- print("Usage: factory config {show,edit,migrate}")
- return 1
-
- if sub == "show":
- from factory.user_config import show_config
-
- reveal = getattr(args, "reveal", False)
- print(show_config(reveal=reveal))
- return 0
-
- if sub == "edit":
- from factory.user_config import CONFIG_PATH, ensure_config_file
-
- ensure_config_file()
- editor = os.environ.get("EDITOR", "vi")
- return subprocess.call([editor, str(CONFIG_PATH)])
-
- if sub == "migrate":
- from factory.user_config import migrate_env_to_config
-
- try:
- msg = migrate_env_to_config()
- print(msg)
- return 0
- except (ImportError, FileExistsError) as e:
- print(f"Error: {e}", file=sys.stderr)
- return 1
-
- print(f"Unknown config subcommand: {sub}", file=sys.stderr)
- return 1
-
-
-def cmd_emit(args: argparse.Namespace) -> int:
- from factory.events import emit_event
-
- project_path = Path(args.project).resolve()
- data: dict = {}
- if args.data:
- try:
- data = json.loads(args.data)
- except json.JSONDecodeError as e:
- print(f"Error: --data is not valid JSON: {e}", file=sys.stderr)
- return 1
- emit_event(project_path, args.event_type, agent=args.agent, data=data)
- return 0
-
-
-def cmd_vault_init(args: argparse.Namespace) -> int:
- from factory.obsidian.notes import init_vault
-
- vault_result = init_vault()
- if vault_result is None:
- print("No vault path configured. Set FACTORY_VAULT_PATH or run:")
- print(" export FACTORY_VAULT_PATH=~/factory-vault")
- print(" factory vault-init")
- return 1
- print(f"Factory vault initialized at {vault_result}")
- return 0
-
-
-def cmd_self_update(args: argparse.Namespace) -> int:
- """Self-update the factory CLI via uv tool upgrade."""
- from importlib.metadata import version as pkg_version
-
- try:
- version_before = pkg_version("remote-factory")
- except Exception:
- version_before = "unknown"
-
- print(f"Current version: {version_before}")
- print("Upgrading remote-factory...")
-
- result = subprocess.run(
- ["uv", "tool", "upgrade", "remote-factory"],
- capture_output=True,
- text=True,
- )
-
- if result.stdout:
- print(result.stdout.rstrip())
- if result.stderr:
- print(result.stderr.rstrip(), file=sys.stderr)
-
- if result.returncode != 0:
- print("Upgrade failed.", file=sys.stderr)
- return 1
-
- # Re-check version (may not reflect in this process, but show what uv reported)
- try:
- version_after = pkg_version("remote-factory")
- except Exception:
- version_after = "unknown"
-
- print(f"Version after upgrade: {version_after}")
- if version_before == version_after:
- print("Already up to date.")
- else:
- print(f"Updated: {version_before} -> {version_after}")
- return 0
-
-
-def cmd_install(args: argparse.Namespace) -> int:
- """Install Factory agents as Claude Code or Codex CLI agents."""
- from factory.agents.plugin import generate_agent_content, generate_codex_agent_toml, load_agent_config
-
- runner = getattr(args, "runner", "claude") or "claude"
-
- role_filter = getattr(args, "role", None)
- config = load_agent_config()
-
- if role_filter and role_filter not in config:
- print(f"Unknown role: {role_filter!r}", file=sys.stderr)
- print(f"Available roles: {', '.join(config)}", file=sys.stderr)
- return 1
-
- roles = [role_filter] if role_filter else list(config)
-
- if runner == "codex":
- agents_dir = Path.home() / ".codex" / "agents"
- agents_dir.mkdir(parents=True, exist_ok=True)
- for role in roles:
- content = generate_codex_agent_toml(role)
- agent_path = agents_dir / f"factory-{role}.toml"
- agent_path.write_text(content)
- print(f" Installed factory-{role} -> {agent_path}")
- print()
- print("Usage:")
- print(" codex --agent factory-<role> # from any project directory")
- print(' codex --agent factory-ceo "improve X" # with initial prompt')
- else:
- agents_dir = Path.home() / ".claude" / "agents"
- agents_dir.mkdir(parents=True, exist_ok=True)
- for role in roles:
- content = generate_agent_content(role)
- agent_path = agents_dir / f"factory-{role}.md"
- agent_path.write_text(content)
- print(f" Installed factory-{role} -> {agent_path}")
- print()
- print("Usage:")
- print(" claude --agent factory-<role> # from any project directory")
- print(' claude --agent factory-ceo "improve X" # with initial prompt')
- print()
- print("Or from within Claude Code, ask: \"use the factory-<role> agent\"")
-
- return 0
-
-
-def cmd_profile(args: argparse.Namespace) -> int:
- """Manage the user profile at ~/.factory/profile.md."""
- sub = getattr(args, "profile_command", None)
- if not sub:
- print("Usage: factory profile {build,show}")
- return 1
-
- if sub == "show":
- from factory.profile import load_profile
- profile = load_profile()
- if profile is None:
- print("No profile found. Run 'factory profile build' first.")
- return 1
- print(profile)
- return 0
-
- if sub == "build":
- from factory.profile import collect_evidence, save_profile, synthesize_profile
- from factory.registry import get_project_paths
-
- raw_paths = getattr(args, "paths", None)
- if raw_paths:
- project_paths = [Path(p).resolve() for p in raw_paths]
- else:
- project_paths = get_project_paths()
- if not project_paths:
- print("No registered projects found. Pass project paths explicitly.", file=sys.stderr)
- return 1
-
- evidence = collect_evidence(project_paths)
- dry_run = getattr(args, "dry_run", False)
-
- if dry_run:
- for section, content in evidence.items():
- print(f"\n{'=' * 60}")
- print(f" {section}")
- print(f"{'=' * 60}")
- print(content or "(empty)")
- return 0
-
- runner_name = _resolve_runner(args)
- profile_text = _run(synthesize_profile(evidence, runner_name))
- if profile_text.startswith("Profile synthesis failed"):
- print(profile_text, file=sys.stderr)
- return 1
- source_names = [p.name for p in project_paths]
- path = save_profile(profile_text, source_names, runner_name or "claude")
- print(f"Profile written to {path}")
- return 0
-
- print(f"Unknown profile subcommand: {sub}", file=sys.stderr)
- return 1
-
-
-def cmd_usage(args: argparse.Namespace) -> int:
- """Print per-agent token usage breakdown from events.jsonl."""
- from factory.events import load_events
-
- project_path = Path(args.path).resolve()
- events = load_events(project_path)
-
- agent_stats: dict[str, dict[str, float]] = {}
- for ev in events:
- if ev.get("type") != "agent.completed":
- continue
- data = ev.get("data", {})
- if "input_tokens" not in data:
- continue
- agent = ev.get("agent", "unknown") or "unknown"
- if agent not in agent_stats:
- agent_stats[agent] = {
- "input_tokens": 0, "output_tokens": 0,
- "cache_read_tokens": 0, "total_cost_usd": 0.0,
- "calls": 0, "avg_cost": 0.0,
- }
- s = agent_stats[agent]
- s["input_tokens"] += data.get("input_tokens", 0)
- s["output_tokens"] += data.get("output_tokens", 0)
- s["cache_read_tokens"] += data.get("cache_read_tokens", 0)
- s["total_cost_usd"] += data.get("total_cost_usd", 0.0)
- s["calls"] += 1
-
- for s in agent_stats.values():
- if s["calls"] > 0:
- s["avg_cost"] = s["total_cost_usd"] / s["calls"]
-
- use_json = args.json
-
- if use_json:
- print(json.dumps(agent_stats, indent=2))
- return 0
-
- if not agent_stats:
- print("No agent usage data found.")
- return 0
-
- header = f"{'Agent':<16} {'Input':>10} {'Output':>10} {'Cache Read':>12} {'Cost':>10} {'Calls':>6} {'Avg Cost':>10}"
- print(header)
- print("-" * len(header))
-
- total_input = 0
- total_output = 0
- total_cache = 0
- total_cost = 0.0
- total_calls = 0
-
- for agent, s in sorted(agent_stats.items()):
- inp = int(s["input_tokens"])
- out = int(s["output_tokens"])
- cache = int(s["cache_read_tokens"])
- cost = s["total_cost_usd"]
- calls = int(s["calls"])
- avg = s["avg_cost"]
- print(f"{agent:<16} {inp:>10,} {out:>10,} {cache:>12,} ${cost:>9.4f} {calls:>6} ${avg:>9.4f}")
- total_input += inp
- total_output += out
- total_cache += cache
- total_cost += cost
- total_calls += calls
-
- print("-" * len(header))
- total_avg = total_cost / total_calls if total_calls > 0 else 0.0
- print(f"{'TOTAL':<16} {total_input:>10,} {total_output:>10,} {total_cache:>12,} ${total_cost:>9.4f} {total_calls:>6} ${total_avg:>9.4f}")
-
- return 0
-
-
-def cmd_agent(args: argparse.Namespace) -> int:
- """Invoke a specialist agent with the given task."""
- from factory.agents.plugin import load_agent_config
- from factory.agents.runner import invoke_agent
- from factory.user_config import load_config
-
- profile = getattr(args, "profile", None)
- load_config(profile=profile)
-
- role = args.role
- task = args.task
- project_path = Path(args.project).resolve()
- timeout = getattr(args, "timeout", 600.0)
- model = _resolve_model(args)
- if not model:
- agent_config = load_agent_config()
- if role in agent_config:
- model = agent_config[role].model or None
- runner = _resolve_runner(args)
- use_profile = getattr(args, "use_profile", False)
- tmux_persist = _resolve_tmux_persist(args)
- background = _resolve_background(args)
- if background and tmux_persist:
- print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
- return 1
- review_tag = getattr(args, "review_tag", None)
- parent_span = getattr(args, "parent_session", None) or os.environ.get("FACTORY_PARENT_SPAN_ID")
- if parent_span:
- os.environ["FACTORY_PARENT_SPAN_ID"] = parent_span
-
- result, code = _run(invoke_agent(
- role,
- task,
- project_path,
- timeout=timeout,
- dangerously_skip_permissions=True,
- model=model,
- runner_name=runner,
- use_profile=use_profile,
- tmux_persist=tmux_persist,
- background=background,
- review_tag=review_tag,
- ))
- print(result)
- return code
-
-
-def cmd_runners_list(args: argparse.Namespace) -> int:
- """List all available runners with metadata."""
- from factory.runners import get_all_runner_meta
-
- meta_list = get_all_runner_meta()
- use_json = getattr(args, "json", False)
-
- if use_json:
- import json as json_mod
- data = []
- for m in meta_list:
- data.append({
- "name": m.name,
- "display_name": m.display_name,
- "binary": m.binary,
- "install_hint": m.install_hint,
- "available": m.is_available(),
- "auth_ok": m.check_auth(),
- "supports_model_override": m.supports_model_override,
- "supports_interactive": m.supports_interactive,
- "supports_streaming": m.supports_streaming,
- "supports_usage_telemetry": m.supports_usage_telemetry,
- "supports_session_name": m.supports_session_name,
- })
- print(json_mod.dumps(data, indent=2))
- return 0
-
- if not meta_list:
- print("No runners registered.")
- return 0
-
- header = f"{'Name':<12} {'Display':<20} {'Binary':<12} {'Available':>9} {'Auth':>6}"
- print(header)
- print("-" * len(header))
- for m in meta_list:
- avail = "yes" if m.is_available() else "no"
- auth = "ok" if m.check_auth() else "missing"
- print(f"{m.name:<12} {m.display_name:<20} {m.binary:<12} {avail:>9} {auth:>6}")
- return 0
-
-
-def cmd_serve_mcp(args: argparse.Namespace) -> int:
- """Start the Factory MCP stdio server."""
- from factory.mcp_server import main as mcp_main
-
- mcp_main()
- return 0
-
-
-def cmd_dashboard(args: argparse.Namespace) -> int:
- """Launch the Factory live dashboard server."""
- from factory.dashboard.app import create_app
-
- projects_dir = Path(args.projects_dir).expanduser().resolve()
- port = args.port
- host = args.host
-
- _print_banner("dashboard")
- print(f" Dashboard: http://{host}:{port}", file=sys.stderr)
- print(f" Projects: {projects_dir}\n", file=sys.stderr)
-
- app = create_app(projects_dir)
-
- import uvicorn
-
- uvicorn.run(app, host=host, port=port, log_level="warning")
- return 0
-
-
-def cmd_ceo(args: argparse.Namespace) -> int:
- """Launch the Factory CEO agent to orchestrate a project.
-
- Default: interactive foreground session (user can see and interact).
- With --headless: pipe mode via claude -p (for scripting, cron, etc.).
- With --mode design: brainstorm an idea via research + Strategist before building.
- """
- from factory.agents.runner import resolve_prompt
- from factory.runners import get_runner
- from factory.user_config import load_config
-
- profile = getattr(args, "profile", None)
- load_config(profile=profile)
-
- raw_path = getattr(args, "path", None)
- mode = getattr(args, "mode", "auto")
- if mode == "interactive":
- mode = "design"
- bg = getattr(args, "bg", False)
- bg_agents = _resolve_bg_agents(args)
- if bg and bg_agents:
- print("Error: --bg and --bg-agents are mutually exclusive.", file=sys.stderr)
- return 1
- headless = getattr(args, "headless", False) or bg
- prompt_file = getattr(args, "prompt", None)
- focus = getattr(args, "focus", None)
- dir_name = getattr(args, "dir", None)
-
- if not raw_path:
- print("Error: provide a project path, GitHub URL, idea file, or prompt",
- file=sys.stderr)
- return 1
-
- no_github = getattr(args, "no_github", False)
- if no_github:
- os.environ["FACTORY_NO_GITHUB"] = "1"
- refine_request = getattr(args, "refine", None)
-
- if refine_request:
- if mode and mode != "auto":
- print(f"Error: --refine and --mode {mode} are mutually exclusive.",
- file=sys.stderr)
- return 1
- if prompt_file:
- print("Error: --refine and --prompt are mutually exclusive.",
- file=sys.stderr)
- return 1
- if focus:
- print("Error: --refine and --focus are mutually exclusive.",
- file=sys.stderr)
- return 1
- if not Path(raw_path).expanduser().resolve().is_dir():
- print("Error: --refine requires an existing project directory, not a URL or idea.",
- file=sys.stderr)
- return 1
-
- # ── review mode early exit ────────────────────────────────
- if mode == "review":
- pr_number = getattr(args, "pr", None)
- if pr_number is None:
- print("Error: --mode review requires --pr <number>", file=sys.stderr)
- return 1
-
- repo = getattr(args, "repo", None)
- model = _resolve_model(args)
- runner_name = _resolve_runner(args)
-
- project_path = Path(raw_path).expanduser().resolve()
- if not project_path.is_dir():
- print(f"Error: project path must be an existing directory for review mode: {raw_path}",
- file=sys.stderr)
- return 1
-
- _print_banner("review")
-
- repo_flag = f" --repo {repo}" if repo else ""
- repo_clause = f" in repo `{repo}`" if repo else ""
- task = (
- f"Project: {project_path}\nMode: review\n\n"
- f"## PR Review Directive\n\n"
- f"Review PR #{pr_number}{repo_clause}.\n\n"
- f"This is a review-only run — no experiment lifecycle, no Builder iterations.\n\n"
- f"Execute these Improve pipeline steps:\n"
- f"1. Run baseline eval (factory eval) to get $SCORE_BEFORE\n"
- f"2. Run step 2c-qa (QA Agent Verification) — single pass, "
- f"iteration 1/1, no Builder fix loop\n"
- f"3. Run step 2d (Hard Precheck Gate)\n"
- f"4. Post verdict via "
- f"factory review --verdict <KEEP|REVERT> --pr {pr_number} "
- f"--score-before $SCORE_BEFORE --score-after $SCORE_AFTER"
- f"{repo_flag}\n"
- )
-
- if not headless:
- from factory.models import AgentRunRequest
-
- prompt = resolve_prompt("ceo", project_path)
- runner = get_runner(runner_name)
- return runner.interactive_run(AgentRunRequest(
- prompt=prompt, task=task, cwd=project_path,
- model=model, role="ceo", skip_permissions=True,
- ))
-
- from factory.ceo_completion import run_ceo_with_completion_guard
- result, code = _run(run_ceo_with_completion_guard(
- project_path,
- task,
- mode="review",
- runner_name=runner_name,
- model=model,
- timeout=7200.0,
- max_respawns=1,
- ))
- print(result)
- return code
-
- _design_is_existing = (
- mode == "design"
- and raw_path
- and _safe_is_dir(Path(raw_path).expanduser().resolve())
- )
-
- if mode == "design":
- if headless:
- flag = "--bg" if bg else "--headless"
- print(f"Error: --mode design requires foreground mode "
- f"(incompatible with {flag})", file=sys.stderr)
- return 1
- if prompt_file:
- print("Error: --mode design and --prompt are mutually exclusive. "
- "Design mode generates the spec; --prompt provides one.",
- file=sys.stderr)
- return 1
- if focus and not _design_is_existing:
- print("Error: --mode design and --focus are mutually exclusive "
- "for new ideas. To discuss a topic on an existing project, "
- "pass the project path: factory ceo /path --mode design --focus \"topic\"",
- file=sys.stderr)
- return 1
-
- if mode == "create":
- if headless:
- flag = "--bg" if bg else "--headless"
- print(f"Error: --mode create requires foreground mode "
- f"(incompatible with {flag})", file=sys.stderr)
- return 1
- if prompt_file:
- print("Error: --mode create and --prompt are mutually exclusive. "
- "Create mode generates the workflow from a description.",
- file=sys.stderr)
- return 1
- if focus:
- print("Error: --mode create and --focus are mutually exclusive.",
- file=sys.stderr)
- return 1
-
- if mode == "research":
- if prompt_file:
- print("Error: --mode research and --prompt are mutually exclusive. "
- "Research ideation generates the spec; --prompt provides one.",
- file=sys.stderr)
- return 1
-
- create_description: str | None = None
- design_idea: str | None = None
- design_existing: bool = False
- research_ideation: str | None = None
- deferred_spec: str | None = None
- needs_materialize = False
- if mode == "create":
- resolved_path = Path(raw_path).expanduser().resolve()
- if not _safe_is_dir(resolved_path):
- print("Error: --mode create requires an existing project directory. "
- "Pass the factory project path: factory ceo /path/to/factory --mode create",
- file=sys.stderr)
- return 1
- project_path, context = _resolve_input(raw_path, dir_name=dir_name)
- create_description = context
- elif mode == "design" and _design_is_existing:
- project_path, context = _resolve_input(raw_path, dir_name=dir_name)
- design_existing = True
- elif mode == "design":
- resolved_file = Path(raw_path).expanduser()
- if resolved_file.is_file():
- design_idea = resolved_file.read_text()
- slug = _slugify(dir_name) if dir_name else _slugify(resolved_file.stem.split("—")[0].strip())
- project_path = _dedupe_project_path(_get_projects_dir() / slug, design_idea)
- deferred_spec = design_idea
- needs_materialize = True
- print(f"Idea file: {resolved_file.name}")
- print(f"Project directory: {project_path}")
- else:
- design_idea = raw_path
- slug = _slugify(dir_name) if dir_name else _extract_project_name(raw_path)
- project_path = _dedupe_project_path(_get_projects_dir() / slug, raw_path)
- deferred_spec = raw_path
- needs_materialize = True
- context = None
- elif mode == "research" and not _safe_is_dir(resolved := Path(raw_path).expanduser()) and not _safe_is_file(resolved):
- # New research project from idea — enter research ideation
- if headless:
- flag = "--bg" if bg else "--headless"
- print("Error: --mode research for new projects requires foreground mode "
- f"(incompatible with {flag})", file=sys.stderr)
- return 1
- if focus:
- print("Error: --focus cannot be used with research ideation for new projects. "
- "--focus targets existing backlog items.", file=sys.stderr)
- return 1
- research_ideation = raw_path
- slug = _slugify(dir_name) if dir_name else _extract_project_name(raw_path)
- project_path = _dedupe_project_path(_get_projects_dir() / slug, raw_path)
- needs_materialize = True
- context = None
- else:
- project_path, context = _resolve_input(raw_path, dir_name=dir_name)
- if context is not None and not (project_path / ".git").is_dir():
- deferred_spec = context
- needs_materialize = True
- if prompt_file:
- context = _read_prompt_file(project_path, prompt_file)
- issue_number: int | None = None
- issue_url: str | None = None
- if focus:
- from factory.issue import is_issue_ref
- if is_issue_ref(focus) and no_github:
- print("Error: --focus resolved to an issue reference, but --no-github is set. "
- "Issue fetching requires GitHub/GitLab CLI access.", file=sys.stderr)
- return 1
- issue_resolved = _resolve_focus_issue(focus, project_path)
- if issue_resolved:
- title, context, issue_number, issue_url = issue_resolved
- focus = f"{title} (issue #{issue_number})"
- force_fresh = mode == "auto-fresh"
- if mode in ("auto", "auto-fresh"):
- mode = _auto_detect_mode(
- project_path, has_prompt=bool(prompt_file or context),
- force_fresh=force_fresh,
- )
- discover_only = getattr(args, "discover_only", False)
- min_growth = getattr(args, "min_growth", None)
- max_new = getattr(args, "max_new", None)
- branch = getattr(args, "branch", None)
- model = _resolve_model(args)
- runner_name = _resolve_runner(args)
- use_profile = getattr(args, "use_profile", False)
- tmux_persist = _resolve_tmux_persist(args)
- background = _resolve_background(args)
- if bg_agents:
- background = False
- if background and tmux_persist:
- print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
- return 1
- clean_pr_flag = getattr(args, "clean_pr", None)
-
- if mode == "research" and not research_ideation and not _has_research_target(project_path):
- print("Error: --mode research requires research_target in factory.md. "
- "Either configure research_target manually, or pass an idea string "
- "to start research ideation: factory ceo \"your idea\" --mode research",
- file=sys.stderr)
- return 1
-
- if focus and prompt_file:
- print("Error: --focus (targeted mode) and --prompt are mutually exclusive. "
- "--focus builds one backlog item; --prompt executes a spec file.", file=sys.stderr)
- return 1
- if focus and mode not in ("improve", "research") and not design_existing:
- print(f"Error: --focus (targeted mode) only works in improve or research mode, got '{mode}'. "
- "The project must already be built before targeting specific items.", file=sys.stderr)
- return 1
-
- if design_existing:
- banner_mode = "design"
- elif mode in ("design", "research") and (design_idea or research_ideation):
- banner_mode = "ideation"
- else:
- banner_mode = mode
- _print_banner(banner_mode)
- _ensure_dashboard(project_path)
-
- if needs_materialize:
- _materialize_project(project_path, deferred_spec)
-
- from factory.worktree import create_worktree, prune_stale, remove_worktree
- pruned = prune_stale(project_path)
- if pruned:
- print(f" Cleaned {len(pruned)} stale worktree(s)", file=sys.stderr)
-
- if focus:
- from factory.study import add_backlog_item
- add_backlog_item(project_path, focus)
-
- from factory.messages import mark_read, read_pending
-
- pending = read_pending(project_path)
- pending_ids = [m.id for m in pending]
- base_branch = branch or _read_target_branch(project_path)
- wt_path, wt_branch = create_worktree(project_path, base_branch)
-
- interactive = design_existing or bool(design_idea) or bool(research_ideation) or mode == "create"
- ceo_mode = "create" if mode == "create" else ("build" if interactive else mode)
- if clean_pr_flag is not None:
- clean_pr_resolved = clean_pr_flag
- else:
- config_path = project_path / ".factory" / "config.json"
- if config_path.exists():
- try:
- _cfg = json.loads(config_path.read_text())
- clean_pr_resolved = bool(_cfg.get("clean_pr", False))
- except (json.JSONDecodeError, OSError):
- clean_pr_resolved = False
- else:
- clean_pr_resolved = False
-
- task = _build_ceo_task(
- wt_path, ceo_mode, context, focus=focus, prompt_file=prompt_file,
- min_growth=min_growth, max_new=max_new, branch=branch,
- discover_only=discover_only, no_github=no_github,
- design_idea=design_idea,
- design_existing=design_existing,
- research_ideation=research_ideation,
- messages=pending,
- issue_number=issue_number,
- issue_url=issue_url,
- refine_request=refine_request,
- clean_pr=clean_pr_resolved,
- display_mode=banner_mode,
- create_description=create_description,
- )
-
- session_name = _derive_session_name(
- focus=focus,
- design_idea=design_idea,
- research_ideation=research_ideation,
- raw_path=raw_path,
- project_path=project_path,
- mode=banner_mode,
- )
-
- if bg_agents:
- os.environ["FACTORY_BG"] = "1"
-
- from factory.agents.runner import begin_cycle_session, complete_cycle_session
- cycle_span_id = begin_cycle_session(project_path, cycle_id=mode, model=model)
-
- import time as _time
-
- _ceo_start = _time.time()
-
- from factory.runners.claude import _make_ceo_message_emitter
-
- ceo_tailer = _start_ceo_tailer(
- wt_path, cycle_span_id, _ceo_start,
- on_line=_make_ceo_message_emitter(wt_path),
- )
-
- if headless:
- # Non-interactive pipe mode (for scripting, cron, tmux)
- # Uses completion guard to auto-resume on premature exit
- from factory.ceo_completion import run_ceo_with_completion_guard
-
- try:
- result, code = _run(run_ceo_with_completion_guard(
- wt_path,
- task,
- mode=mode,
- runner_name=runner_name,
- model=model,
- timeout=7200.0,
- session_name=session_name,
- use_profile=use_profile,
- tmux_persist=tmux_persist,
- background=background,
- ))
- print(result)
- if code == 0:
- if pending_ids:
- mark_read(project_path, pending_ids)
- if code != 0:
- return code
- return _chain_modes(
- project_path, focus=focus,
- min_growth=min_growth, max_new=max_new, branch=branch,
- already_improved=mode in ("improve", "meta") or discover_only,
- model=model, no_github=no_github, use_profile=use_profile,
- tmux_persist=tmux_persist,
- background=background,
- )
- finally:
- _stop_ceo_tailer(ceo_tailer)
- complete_cycle_session(project_path, cycle_span_id)
- remove_worktree(project_path, wt_path, wt_branch)
- if needs_materialize and _is_scaffold_only(project_path):
- import shutil
- shutil.rmtree(project_path, ignore_errors=True)
-
- # Interactive foreground mode: use subprocess.run so we can clean up the worktree.
- try:
- if pending_ids:
- print(
- f"Consuming {len(pending_ids)} message(s): {', '.join(pending_ids)}",
- file=sys.stderr,
- )
- mark_read(project_path, pending_ids)
- from factory.models import AgentRunRequest as _RunReq
-
- prompt = resolve_prompt("ceo", wt_path, use_profile=use_profile)
- runner = get_runner(runner_name)
- return runner.interactive_run(_RunReq(
- prompt=prompt, task=task, cwd=wt_path,
- model=model, role="ceo", skip_permissions=True,
- session_name=session_name,
- ))
- finally:
- _stop_ceo_tailer(ceo_tailer)
- complete_cycle_session(project_path, cycle_span_id)
- remove_worktree(project_path, wt_path, wt_branch)
- if needs_materialize and _is_scaffold_only(project_path):
- import shutil
- shutil.rmtree(project_path, ignore_errors=True)
-
-
-def _start_ceo_tailer(
- wt_path: Path, cycle_span_id: str | None, start_time: float,
- on_line: Callable[[bytes], None] | None = None,
-) -> object | None:
- """Create the CEO span eagerly and start a TranscriptTailer."""
- try:
- from factory.telemetry import TranscriptTailer, begin_span, flush, is_enabled
-
- trace_id = ""
- ceo_span_id = ""
-
- if cycle_span_id and is_enabled():
- trace_id = os.environ.get("FACTORY_TRACE_ID", "")
- if trace_id:
- span = begin_span(trace_id, cycle_span_id, "ceo")
- if span:
- ceo_span_id = span
- flush()
-
- if not trace_id and not on_line:
- return None
-
- tailer = TranscriptTailer(
- trace_id=trace_id,
- span_id=ceo_span_id,
- project_path=wt_path,
- session_start=start_time,
- on_line=on_line,
- )
- tailer.start()
- return tailer
- except Exception:
- return None
-
-
-def _stop_ceo_tailer(tailer: object | None) -> None:
- """Stop the tailer, do final drain, and end the CEO span."""
- if tailer is None:
- return
- try:
- from factory.telemetry import end_span
-
- tailer.stop_and_drain() # type: ignore[attr-defined]
- trace_id = os.environ.get("FACTORY_TRACE_ID", "")
- span_id = getattr(tailer, "span_id", None)
- if trace_id and span_id:
- end_span(trace_id, span_id, status="completed")
- except Exception:
- pass
-
-
-def _is_github_url(path: str) -> bool:
- """Return True if path looks like a GitHub URL."""
- return path.startswith("https://github.com/") or path.startswith("git@github.com:")
-
-
-# ── universal input resolver ─────────────────────────────────
-
-
-def _resolve_model(args: argparse.Namespace) -> str | None:
- """Resolve model: CLI flag > FACTORY_MODEL env var > config.toml > None."""
- from factory.user_config import resolve
-
- flag = (getattr(args, "model", None) or "").strip() or None
- return resolve("model", cli_value=flag, env_var="FACTORY_MODEL")
-
-
-def _resolve_tmux_persist(args: argparse.Namespace) -> bool:
- """Resolve tmux_persist: CLI flag > FACTORY_TMUX_PERSIST env var > config.toml > False."""
- from factory.user_config import resolve
-
- cli_flag = getattr(args, "tmux_persist", False)
- cli_value = "true" if cli_flag else None
- val = resolve("tmux_persist", cli_value=cli_value, env_var="FACTORY_TMUX_PERSIST", default="false")
- return bool(val and val.lower() in ("1", "true", "yes"))
-
-
-def _resolve_background(args: argparse.Namespace) -> bool:
- """Resolve background: CLI flag > FACTORY_BG env var > config.toml > False."""
- from factory.user_config import resolve
-
- cli_flag = getattr(args, "bg", False)
- cli_value = "true" if cli_flag else None
- val = resolve("bg", cli_value=cli_value, env_var="FACTORY_BG", default="false")
- return bool(val and val.lower() in ("1", "true", "yes"))
-
-
-def _resolve_bg_agents(args: argparse.Namespace) -> bool:
- """Resolve bg_agents: CLI flag > FACTORY_BG_AGENTS env var > config.toml > False."""
- from factory.user_config import resolve
-
- cli_flag = getattr(args, "bg_agents", False)
- cli_value = "true" if cli_flag else None
- val = resolve("bg_agents", cli_value=cli_value, env_var="FACTORY_BG_AGENTS", default="false")
- return bool(val and val.lower() in ("1", "true", "yes"))
-
-
-def _resolve_runner(args: argparse.Namespace) -> str | None:
- """Resolve runner: CLI flag > FACTORY_RUNNER env var > None (default to 'claude').
-
- Returns None to let get_runner() handle the default.
- """
- flag = (getattr(args, "runner", None) or "").strip()
- if flag:
- return flag
- return None
-
-
-def _get_projects_dir() -> Path:
- from factory.user_config import resolve
-
- raw = resolve("projects_dir", env_var="FACTORY_PROJECTS_DIR", default=str(Path.home() / "factory-projects"))
- return Path(raw).expanduser() if raw else Path.home() / "factory-projects"
-
-
-def _resolve_input(raw: str, dir_name: str | None = None) -> tuple[Path, str | None]:
- """Resolve any user input to (project_path, optional_context).
-
- Handles four input types in priority order:
- 1. Existing directory → use directly
- 2. Existing file → read as spec, create repo
- 3. GitHub URL → clone
- 4. Raw prompt → create repo, use prompt as spec
- """
- # 1. Existing directory
- expanded = Path(raw).expanduser()
- if _safe_is_dir(expanded):
- return expanded.resolve(), None
-
- # 2. Existing file (e.g. path to an idea/spec .md file)
- if _safe_is_file(expanded):
- idea_content = expanded.read_text()
- slug = _slugify(dir_name) if dir_name else _slugify(expanded.stem.split("\u2014")[0].strip())
- project_path = _dedupe_project_path(_get_projects_dir() / slug, idea_content)
- print(f"Idea file: {expanded.name}")
- print(f"Project directory: {project_path}")
- return project_path, idea_content
-
- # 3. GitHub URL
- if _is_github_url(raw):
- tmp_dir = tempfile.mkdtemp(prefix="factory-")
- subprocess.run(["git", "clone", raw, tmp_dir], check=True)
- print(f"Cloned {raw} → {tmp_dir}")
- return Path(tmp_dir).resolve(), None
-
- # 4. Raw prompt
- slug = _slugify(dir_name) if dir_name else _extract_project_name(raw)
- project_path = _dedupe_project_path(_get_projects_dir() / slug, raw)
- print(f"New project from prompt: {project_path}")
- return project_path, raw
-
-
-_FILLER_WORDS = frozenset({
- "a", "an", "the", "that", "which", "with", "for", "and", "or", "to", "using",
- "comprehensive", "simple", "basic", "advanced", "new", "custom", "full",
- "complete", "modern", "robust", "scalable", "lightweight", "minimal",
- "fully", "featured", "production", "ready",
-})
-
-_VERB_RE = re.compile(
- r"^(build|create|make|implement|develop|design|write|add|set\s*up|construct|craft)\b\s*"
-)
-
-
-def _extract_project_name(description: str) -> str:
- """Extract a concise project name from a verbose description.
-
- Strips leading imperative verbs and filler words, then takes
- up to 4 whitespace-delimited tokens (hyphenated compounds like
- ``real-time`` count as one token).
- """
- text = description.lower().strip()
- text = _VERB_RE.sub("", text)
- words = [w for w in re.split(r"\s+", text) if w and w not in _FILLER_WORDS]
- name = "-".join(words[:4])
- return _slugify(name) if name else _slugify(description[:50])
-
-
-def _extract_short_description(text: str, max_words: int = 6) -> str:
- """Extract a short lowercase phrase from idea text for session naming.
-
- Like ``_extract_project_name`` but keeps spaces and allows more words.
- """
- lowered = text.lower().strip()
- lowered = _VERB_RE.sub("", lowered)
- words = [w for w in re.split(r"\s+", lowered) if w and w not in _FILLER_WORDS]
- return " ".join(words[:max_words])
-
-
-def _derive_session_name(
- *,
- focus: str | None = None,
- design_idea: str | None = None,
- research_ideation: str | None = None,
- raw_path: str | None = None,
- project_path: Path,
- mode: str = "improve",
-) -> str:
- """Derive a human-readable session name from the best available context.
-
- Priority:
- 1. Focus directive (most specific)
- 2. Design idea / research ideation (new project from idea)
- 3. Raw idea text (new project from raw prompt, not a path/URL)
- 4. Fallback: mode + project directory name
- """
- prefix = "factory: "
- max_len = 60
-
- if focus:
- label = focus.lower()[:max_len - len(prefix)]
- return f"{prefix}{label}"
-
- idea = design_idea or research_ideation
- if idea:
- desc = _extract_short_description(idea)
- if desc:
- return f"{prefix}{desc}"[:max_len]
-
- if raw_path and not _safe_is_dir(Path(raw_path).expanduser()) \
- and not _safe_is_file(Path(raw_path).expanduser()) \
- and not _is_github_url(raw_path):
- desc = _extract_short_description(raw_path)
- if desc:
- return f"{prefix}{desc}"[:max_len]
-
- proj_name = project_path.resolve().name
- return f"{prefix}{mode} {proj_name}"[:max_len]
-
-
-def _dedupe_project_path(project_path: Path, new_spec: str) -> Path:
- """Append a numeric suffix if the directory already holds a different project."""
- spec_path = project_path / ".factory" / "strategy" / "current.md"
- if not spec_path.exists():
- return project_path
- if new_spec.strip() in spec_path.read_text():
- return project_path
- base = project_path
- counter = 2
- while True:
- candidate = base.parent / f"{base.name}-{counter}"
- cand_spec = candidate / ".factory" / "strategy" / "current.md"
- if not cand_spec.exists():
- return candidate
- if new_spec.strip() in cand_spec.read_text():
- return candidate
- counter += 1
-
-
-def _slugify(text: str) -> str:
- """Convert text to a filesystem-safe slug."""
- text = text.lower().strip()
- text = re.sub(r"[^\w\s-]", "", text)
- text = re.sub(r"[\s_]+", "-", text)
- return text[:50].rstrip("-") or "factory-project"
-
-
-def _ensure_repo(project_path: Path) -> None:
- """Create directory + git init (with initial commit) if needed."""
- project_path.mkdir(parents=True, exist_ok=True)
- if not (project_path / ".git").is_dir():
- subprocess.run(["git", "init"], cwd=project_path, capture_output=True, check=True)
- subprocess.run(
- ["git", "-c", "user.name=Factory", "-c", "user.email=factory@localhost",
- "commit", "--allow-empty", "-m", "Initial commit"],
- cwd=project_path, capture_output=True, check=True,
- )
-
-
-def _read_prompt_file(project_path: Path, prompt_file: str) -> str:
- """Read a prompt file (absolute or relative to project) and persist it as the build spec.
-
- Always overwrites current.md — the user is explicitly passing a new phase prompt.
- """
- prompt_path = Path(prompt_file)
- if not prompt_path.is_absolute():
- prompt_path = project_path / prompt_path
- if not prompt_path.exists():
- print(f"Error: prompt file not found: {prompt_path}", file=sys.stderr)
- sys.exit(1)
- content = prompt_path.read_text()
- strategy_dir = project_path / ".factory" / "strategy"
- strategy_dir.mkdir(parents=True, exist_ok=True)
- spec_path = strategy_dir / "current.md"
- spec_path.write_text(f"## Project Specification\n\n{content}\n")
- print(f" Prompt: {prompt_path.name} → .factory/strategy/current.md", file=sys.stderr)
- return content
-
-
-def _resolve_focus_issue(
- focus: str, project_path: Path,
-) -> tuple[str, str, int, str] | None:
- """If *focus* looks like an issue ref, fetch it and return (title, context, number, url).
-
- Returns ``None`` when *focus* is a plain backlog-item name.
- Callers must check ``--no-github`` *before* calling this function.
- """
- from factory.issue import is_issue_ref
-
- if not is_issue_ref(focus):
- return None
-
- from factory.issue import fetch_issue, format_issue_as_spec
-
- issue_spec = fetch_issue(focus, project_path)
- context = format_issue_as_spec(issue_spec)
-
- strategy_dir = project_path / ".factory" / "strategy"
- strategy_dir.mkdir(parents=True, exist_ok=True)
- (strategy_dir / "current.md").write_text(
- f"## Project Specification\n\n{context}\n"
- )
- print(
- f" Issue: #{issue_spec.number} → .factory/strategy/current.md",
- file=sys.stderr,
- )
- return issue_spec.title, context, issue_spec.number, issue_spec.url
-
-
-def _materialize_project(project_path: Path, spec: str | None = None) -> None:
- """Create git repo and optionally persist spec. Single choke point for deferred creation."""
- _ensure_repo(project_path)
- if spec:
- _persist_spec(project_path, spec)
-
-
-def _is_scaffold_only(project_path: Path) -> bool:
- """Return True if project_path is empty scaffolding that can be safely removed.
-
- A project is considered scaffold-only when it has exactly 1 git commit
- (the initial empty commit from _ensure_repo) and the only non-.git content
- is .factory/strategy/current.md.
- """
- if not project_path.is_dir():
- return False
- git_dir = project_path / ".git"
- if not git_dir.is_dir():
- return False
- result = subprocess.run(
- ["git", "rev-list", "--count", "HEAD"],
- cwd=project_path, capture_output=True, text=True,
- )
- if result.returncode != 0 or result.stdout.strip() != "1":
- return False
- non_git = [
- p for p in project_path.rglob("*")
- if p.is_file() and ".git" not in p.parts
- ]
- allowed = {project_path / ".factory" / "strategy" / "current.md"}
- return all(p in allowed for p in non_git)
-
-
-def _persist_spec(project_path: Path, spec: str) -> None:
- """Write the project spec to .factory/strategy/current.md so all agents can read it.
-
- This ensures sub-agents spawned by the CEO have access to the original
- idea/prompt, not just the CEO's task string.
- """
- strategy_dir = project_path / ".factory" / "strategy"
- strategy_dir.mkdir(parents=True, exist_ok=True)
- spec_path = strategy_dir / "current.md"
- if not spec_path.exists():
- spec_path.write_text(f"## Project Specification\n\n{spec}\n")
-
-
-# ── tmux integration ──────────────────────────────────────────
-
-
-_TMUX_SESSION_PREFIX = "factory-"
-_TMUX_SESSIONS_FILE = Path("~/.factory/tmux_sessions.json").expanduser()
-
-
-def _tmux_session_name(project_path: Path) -> str:
- """Derive a tmux session name from a project path."""
- path_hash = hashlib.sha1(str(project_path).encode()).hexdigest()[:6]
- return f"{_TMUX_SESSION_PREFIX}{project_path.name}-{path_hash}"
-
-
-def _load_tmux_session_mapping() -> dict[str, str]:
- """Load the session→project mapping from ~/.factory/tmux_sessions.json."""
- if _TMUX_SESSIONS_FILE.exists():
- try:
- return json.loads(_TMUX_SESSIONS_FILE.read_text())
- except (json.JSONDecodeError, OSError):
- pass
- return {}
-
-
-def _save_tmux_session_mapping(session: str, project_path: str) -> None:
- """Save a session→project mapping entry to ~/.factory/tmux_sessions.json."""
- mapping = _load_tmux_session_mapping()
- mapping[session] = project_path
- _TMUX_SESSIONS_FILE.parent.mkdir(parents=True, exist_ok=True)
- _TMUX_SESSIONS_FILE.write_text(json.dumps(mapping, indent=2))
-
-
-def _tmux_available() -> bool:
- """Check if tmux is installed."""
- try:
- subprocess.run(["tmux", "-V"], capture_output=True, check=True)
- return True
- except (FileNotFoundError, subprocess.CalledProcessError):
- return False
-
-
-def _build_tmux_run_args(args: argparse.Namespace, project_path: Path, model: str | None) -> str:
- """Build the 'factory ceo ...' command string from parsed args.
-
- Uses 'factory ceo' (not 'factory run') so the session inside tmux
- is interactive — the user can attach and interact with the CEO directly.
- --loop/--interval/--max-cycles are factory-run-only flags and are
- NOT forwarded to factory ceo.
- """
- parts = [f"factory ceo {project_path}"]
- if args.mode:
- parts.append(f"--mode {args.mode}")
- if model:
- parts.append(f"--model {shlex.quote(model)}")
- if getattr(args, "no_github", False):
- parts.append("--no-github")
- if getattr(args, "profile", None):
- parts.append(f"--profile {shlex.quote(args.profile)}")
- if getattr(args, "focus", None):
- parts.append(f"--focus {shlex.quote(args.focus)}")
- if getattr(args, "refine", None):
- parts.append(f"--refine {shlex.quote(args.refine)}")
- if getattr(args, "clean_pr", None) is True:
- parts.append("--clean-pr")
- elif getattr(args, "clean_pr", None) is False:
- parts.append("--no-clean-pr")
- if getattr(args, "runner", None):
- parts.append(f"--runner {shlex.quote(args.runner)}")
- if getattr(args, "prompt", None):
- parts.append(f"--prompt {shlex.quote(args.prompt)}")
- if getattr(args, "branch", None):
- parts.append(f"--branch {shlex.quote(args.branch)}")
- if getattr(args, "min_growth", None) is not None:
- parts.append(f"--min-growth {args.min_growth}")
- if getattr(args, "max_new", None) is not None:
- parts.append(f"--max-new {args.max_new}")
- if getattr(args, "discover_only", False):
- parts.append("--discover-only")
- if getattr(args, "bg_agents", False):
- parts.append("--bg-agents")
- if getattr(args, "tmux_persist", False):
- parts.append("--tmux-persist")
- if getattr(args, "use_profile", False):
- parts.append("--use-profile")
- return " ".join(parts)
-
-
-def cmd_tmux(args: argparse.Namespace) -> int:
- """Launch factory run inside a detached tmux session."""
- if not _tmux_available():
- print("Error: tmux is not installed.", file=sys.stderr)
- return 1
-
- project_path = Path(args.path).resolve()
- session = args.session or _tmux_session_name(project_path)
-
- # Check if session already exists
- check = subprocess.run(
- ["tmux", "has-session", "-t", session],
- capture_output=True,
- )
- if check.returncode == 0:
- if args.attach:
- print(f"Attaching to existing session: {session}")
- os.execvp("tmux", ["tmux", "attach-session", "-t", session])
- print(f"Session '{session}' already running. Use --attach or:")
- print(f" tmux attach -t {session}")
- return 0
-
- # Build the factory run command — propagate env vars, use bare `factory`
- _ENV_PREFIXES = ("FACTORY_", "ANTHROPIC_", "BOBSHELL_", "OPENAI_", "CODEX_", "CLAUDE_CODE_", "CLOUD_ML_")
- run_cmd_parts = []
- for key, val in sorted(os.environ.items()):
- if key.startswith(_ENV_PREFIXES):
- run_cmd_parts.append(f"export {key}={shlex.quote(val)}")
- run_cmd_parts.append(f"export PATH={shlex.quote(os.environ.get('PATH', '/usr/bin'))}")
-
- model = _resolve_model(args)
- run_args = _build_tmux_run_args(args, project_path, model)
- run_cmd_parts.append(run_args)
- shell_cmd = " && ".join(run_cmd_parts)
-
- # Create detached tmux session
- result = subprocess.run(
- ["tmux", "new-session", "-d", "-s", session, "-x", "200", "-y", "50", shell_cmd],
- )
- if result.returncode != 0:
- print(f"Error: failed to create tmux session '{session}'", file=sys.stderr)
- return 1
-
- _save_tmux_session_mapping(session, str(project_path))
-
- print(f"Factory launched in tmux session: {session}")
- print(f" tmux attach -t {session} # attach")
- print(f" tmux kill-session -t {session} # stop")
-
- if args.attach:
- os.execvp("tmux", ["tmux", "attach-session", "-t", session])
-
- return 0
-
-
-def cmd_tmux_ls(args: argparse.Namespace) -> int:
- """List running factory tmux sessions."""
- if not _tmux_available():
- print("Error: tmux is not installed.", file=sys.stderr)
- return 1
-
- result = subprocess.run(
- ["tmux", "list-sessions", "-F", "#{session_name}\t#{session_created}\t#{session_windows}"],
- capture_output=True,
- text=True,
- )
- if result.returncode != 0:
- print("No tmux sessions running.")
- return 0
-
- mapping = _load_tmux_session_mapping()
- factory_sessions = []
- for line in result.stdout.strip().splitlines():
- parts = line.split("\t")
- name = parts[0]
- if name.startswith(_TMUX_SESSION_PREFIX):
- created = datetime.fromtimestamp(int(parts[1])).strftime("%Y-%m-%d %H:%M") if len(parts) > 1 else "?"
- project = mapping.get(name, "?")
- factory_sessions.append({"session": name, "started": created, "project": project})
-
- if not factory_sessions:
- if getattr(args, "json_output", False):
- print("[]")
- else:
- print("No factory sessions running.")
- return 0
-
- if getattr(args, "json_output", False):
- print(json.dumps(factory_sessions, indent=2))
- else:
- print(f"{'Session':<35} {'Started':<20} {'Project'}")
- print("-" * 80)
- for s in factory_sessions:
- print(f"{s['session']:<35} {s['started']:<20} {s['project']}")
- return 0
-
-
-def cmd_tmux_stop(args: argparse.Namespace) -> int:
- """Stop a factory tmux session."""
- if not _tmux_available():
- print("Error: tmux is not installed.", file=sys.stderr)
- return 1
-
- if args.session:
- session = args.session
- elif args.path:
- session = _tmux_session_name(Path(args.path).resolve())
- elif getattr(args, "stop_all", False):
- result = subprocess.run(
- ["tmux", "list-sessions", "-F", "#{session_name}"],
- capture_output=True,
- text=True,
- )
- if result.returncode != 0:
- print("No tmux sessions running.")
- return 0
-
- killed = 0
- for name in result.stdout.strip().splitlines():
- if name.startswith(_TMUX_SESSION_PREFIX):
- subprocess.run(["tmux", "kill-session", "-t", name])
- print(f"Stopped: {name}")
- killed += 1
-
- if killed == 0:
- print("No factory sessions running.")
- else:
- print(f"Stopped {killed} session(s).")
- return 0
- else:
- result = subprocess.run(
- ["tmux", "list-sessions", "-F", "#{session_name}"],
- capture_output=True,
- text=True,
- )
- sessions = []
- if result.returncode == 0:
- for name in result.stdout.strip().splitlines():
- if name.startswith(_TMUX_SESSION_PREFIX):
- sessions.append(name)
- if sessions:
- print("Factory sessions that would be stopped:")
- for s in sessions:
- print(f" {s}")
- else:
- print("No factory sessions running.")
- print("\nUse --all to stop all factory sessions.")
- return 1
-
- # Kill specific session
- check = subprocess.run(
- ["tmux", "has-session", "-t", session],
- capture_output=True,
- )
- if check.returncode != 0:
- print(f"Session '{session}' not found.")
- return 1
-
- subprocess.run(["tmux", "kill-session", "-t", session])
- print(f"Stopped: {session}")
- return 0
-
-
-def cmd_refactory(args: argparse.Namespace) -> int:
- """Launch the re:factory persistent supervisor agent.
-
- Sets up the workspace, resolves the session ID, and replaces the current
- process with an interactive claude session via os.execvp.
- """
- import shutil
-
- from factory.agents.runner import resolve_prompt
- from factory.refactory import get_session_id, setup_workspace
-
- claude_path = shutil.which("claude")
- if not claude_path:
- print("Error: 'claude' CLI not found. Install Claude Code first.", file=sys.stderr)
- return 1
-
- project_path = Path(getattr(args, "path", None) or Path.cwd()).resolve()
-
- setup_workspace(project_path)
- reset = getattr(args, "reset", False)
- session_file = project_path / ".refactory" / "session.json"
- is_new_session = reset or not session_file.exists()
- session_id = get_session_id(project_path, reset=reset)
- model = getattr(args, "model", None)
-
- prompt = resolve_prompt("refactory")
- prompt_file = tempfile.NamedTemporaryFile(
- mode="w", suffix=".md", prefix="refactory-prompt-", delete=False,
- )
- prompt_file.write(prompt)
- prompt_file.close()
-
- if is_new_session:
- cmd = [
- "claude",
- "--session-id", session_id,
- "--append-system-prompt-file", prompt_file.name,
- "--dangerously-skip-permissions",
- ]
- else:
- cmd = [
- "claude",
- "--resume", session_id,
- "--append-system-prompt-file", prompt_file.name,
- "--dangerously-skip-permissions",
- ]
-
- if model:
- cmd.extend(["--model", model])
-
- os.chdir(project_path)
- os.execvp("claude", cmd)
- return 0 # unreachable after execvp
-
-
-def _has_research_target(project_path: Path) -> bool:
- """Check if project already has research_target configured."""
- try:
- from factory.store import ExperimentStore
- config = _run(ExperimentStore(project_path).read_config())
- return config.research_target is not None
- except (FileNotFoundError, json.JSONDecodeError, ValueError, KeyError):
- return False
-
-
-def _auto_detect_mode(project_path: Path, has_prompt: bool = False, force_fresh: bool = False) -> str:
- """Detect the right mode based on project state.
-
- Checks for an in-flight cycle first — if one exists, returns its mode
- regardless of current project state (prevents mode flip on respawn).
-
- Args:
- project_path: Path to the project.
- has_prompt: True if a build spec is available.
- force_fresh: If True, ignores in-flight cycle and detects from scratch.
-
- When a build spec is available (--prompt, idea file, or raw prompt),
- no_factory routes to build (not discover).
- """
- from factory.ceo_completion import read_cycle_state
- from factory.models import ProjectState
- from factory.state import detect_state
-
- # Layer 2: Check for in-flight cycle (unless forced fresh)
- if not force_fresh:
- cycle_state = read_cycle_state(project_path)
- if cycle_state:
- print(
- f" In-flight cycle: {cycle_state.cycle_id} → mode: {cycle_state.mode} "
- f"(respawns: {cycle_state.respawns})",
- file=sys.stderr,
- )
- return cycle_state.mode
-
- state = detect_state(project_path)
- mode_map = {
- ProjectState.NO_REPO: "build",
- ProjectState.REPO_INCOMPLETE: "build",
- ProjectState.NO_FACTORY: "build" if has_prompt else "discover",
- ProjectState.EVALS_PENDING_REVIEW: "discover",
- ProjectState.HAS_FACTORY: "improve",
- }
- mode = mode_map[state]
-
- if state == ProjectState.HAS_FACTORY and _has_research_target(project_path):
- mode = "research"
-
- print(f" State: {state.value} → mode: {mode}", file=sys.stderr)
- return mode
-
-
-def _build_ceo_task(
- project_path: Path,
- mode: str,
- context: str | None = None,
- focus: str | None = None,
- prompt_file: str | None = None,
- min_growth: int | None = None,
- max_new: int | None = None,
- branch: str | None = None,
- discover_only: bool = False,
- no_github: bool = False,
- design_idea: str | None = None,
- design_existing: bool = False,
- research_ideation: str | None = None,
- messages: list[Message] | None = None,
- issue_number: int | None = None,
- issue_url: str | None = None,
- refine_request: str | None = None,
- clean_pr: bool = False,
- display_mode: str | None = None,
- create_description: str | None = None,
-) -> str:
- """Build the CEO agent task string from mode and optional context."""
- shown_mode = display_mode if display_mode is not None else mode
- task = f"Project: {project_path}\nMode: {shown_mode}"
-
- if messages:
- task += "\n\n## User Messages\n"
- task += "The user has sent the following directives. Treat these as HIGH PRIORITY:\n\n"
- for msg in messages:
- ts = msg.timestamp.strftime("%Y-%m-%d %H:%M:%S")
- task += f"**[{ts}]** {msg.text}\n\n"
-
- if design_existing:
- task += (
- f"\n\n## Plan Loop (Interactive)\n\n"
- f"**existing_project: true**\n\n"
- f"You are in interactive planning mode on an **existing project** at `{project_path}`.\n\n"
- f"Run the Plan Loop (P0-P3) with interactive approval. Research the project "
- f"(local study + external best practices), synthesize an improvement spec "
- f"through user feedback, then transition to Improve mode.\n\n"
- )
- if focus:
- task += (
- f"**Focus topic (from --focus):** {focus}\n\n"
- f"The user wants to discuss this specific topic. Use it to seed the "
- f"research and spec, but be open to the user redirecting.\n"
- )
- else:
- task += (
- "No specific topic was provided. Study the project broadly — "
- "look at the backlog, eval scores, open issues, and recent history — "
- "then present your findings and recommendations.\n"
- )
- elif design_idea:
- task += (
- f"\n\n## Plan Loop (Interactive)\n\n"
- f"**Raw idea from user:** {design_idea}\n\n"
- f"Run the Plan Loop (P0-P3) with interactive approval. "
- f"Research the space, synthesize a build plan, and refine it "
- f"through user feedback before building.\n\n"
- f"After the user approves the final plan, persist it to "
- f".factory/strategy/current.md and proceed to Build mode.\n"
- )
-
- if research_ideation:
- task += (
- f"\n\n## Plan Loop (Interactive)\n\n"
- f"**Raw idea from user:** {research_ideation}\n\n"
- f"**research_project: true**\n\n"
- f"Run the Plan Loop (P0-P3) with interactive approval. "
- f"This is a research project — the Strategist MUST collect research configuration:\n"
- f"- Research Target (objective, metric, target value, run_command, result_path)\n"
- f"- Mutable Surfaces (files the Builder can modify)\n"
- f"- Fixed Surfaces (ground truth / eval files that must never be touched)\n"
- f"- Research Constraints (additional rules)\n"
- f"- Cost Budget (optional)\n\n"
- f"After the user approves, persist the spec AND the research "
- f"config to .factory/strategy/current.md, then proceed to Build mode. "
- f"During Review mode (factory.md creation), populate the research sections "
- f"from the approved spec.\n"
- )
-
- if create_description:
- task += (
- f"\n\n## Create Mode (New Factory Mode)\n\n"
- f"**Mode description from user:**\n{create_description}\n\n"
- f"You are in Create mode — a meta-mode for creating new factory modes.\n\n"
- f"Follow the Create workflow (skills/workflow-create/SKILL.md):\n"
- f"1. Research existing workflow patterns and the user's intent\n"
- f"2. Synthesize a complete workflow specification\n"
- f"3. Present the spec to the user for interactive approval\n"
- f"4. Implement: workflow definition, SKILL.md, CLI wiring, tests\n"
- f"5. QA verification (graph validates, SKILL.md generates, CLI recognizes mode)\n"
- f"6. Open PR for review\n\n"
- f"The implementation targets THIS project (the factory codebase). "
- f"Key files to modify: factory/workflow/definitions.py, "
- f"factory/workflow/skill_export.py, factory/cli.py, tests/.\n"
- )
-
- if prompt_file:
- task += (
- f"\n\n## Directive\n\n"
- f"The user has provided a specific prompt file (`{prompt_file}`) as the build spec. "
- f"This is your primary instruction — read it at `.factory/strategy/current.md` and "
- f"execute exactly what it describes. Do not infer or improvise beyond what the prompt asks for."
- )
-
- if focus:
- task += f"\n\n## Focus Directive (Targeted Mode)\n\nTarget: {focus}\n\n"
- if issue_number:
- issue_label = f"#{issue_number}"
- if issue_url:
- issue_label += f" ({issue_url})"
- task += (
- f"This target is from issue {issue_label}. "
- f"The full issue spec has been written to `.factory/strategy/current.md`. "
- f"Read it for the complete requirements.\n\n"
- )
- task += (
- "Single-item mode. This target has been added to the backlog. "
- "The Strategist must generate exactly ONE hypothesis for this item. "
- "No other hypotheses this cycle — no additional backlog clearing, no new items.\n"
- "After this single experiment completes (keep or revert), skip to final archival. "
- "Do not loop back for more hypotheses.\n"
- )
- if issue_number:
- task += (
- f"\n## Issue Tracking\n\n"
- f"This cycle is working on issue #{issue_number}. "
- f"When finalizing, pass `--issue {issue_number}` to `factory finalize`."
- )
-
- if branch:
- task += (
- f"\n\n## Branch Override\n\n"
- f"Target branch for all PRs and merges: `{branch}`\n"
- f"The Builder should create experiment branches from `{branch}` and "
- f"target PRs against `{branch}`. After revert, checkout `{branch}` instead of main.\n"
- )
-
- if any(v is not None for v in (min_growth, max_new)):
- budget_lines = ["\n\n## Budget Override\n"]
- budget_lines.append("The user has overridden the hypothesis budget for this run:")
- if min_growth is not None:
- budget_lines.append(f"- **min_growth:** {min_growth} (guaranteed growth hypotheses)")
- if max_new is not None:
- budget_lines.append(f"- **max_new:** {max_new} (max new items added to backlog per cycle)")
- budget_lines.append("")
- budget_lines.append("Pass these overrides to the Strategist. They take precedence over "
- "factory.md defaults and study-computed values.")
- task += "\n".join(budget_lines)
-
- if context:
- task += f"\n\n## Project Specification\n\n{context}"
-
- if mode == "build":
- task += (
- "\n\nRun Build mode: the project is new or incomplete. Run the Plan Loop "
- "(P0-P3) to produce an approved build plan, then follow the Build pipeline "
- "(B3-B6): Build phases → E2E verification. "
- "Do NOT skip to Improve mode — the project needs to be built first."
- )
- elif mode == "discover":
- if discover_only:
- task += (
- "\n\nRun Discover mode: introspect the project, auto-detect eval dimensions, "
- "and generate the eval harness. Then complete Review mode to initialize the "
- "factory. Do NOT run the Improve loop."
- )
- else:
- task += (
- "\n\nRun Discover mode: introspect the project, auto-detect eval dimensions, "
- "and generate the eval harness. Then complete Review mode: verify the eval "
- "harness works, mark as reviewed, and initialize the factory. "
- "After initialization, proceed to Improve mode for one experiment cycle."
- )
- elif mode == "meta":
- task += (
- "\n\nRun Meta mode: full self-improvement. First, run the complete Improve loop "
- "on this project (experiments, keep/revert decisions). Then run ACE playbook "
- "evolution for all agent roles using cross-project experiment data."
- )
- elif mode == "research":
- task += (
- "\n\nRun Research mode: the project has a research target defined in factory.md. "
- "Read the research_target from config.json to understand the objective, metric, "
- "target value, and run command. Each cycle: form a hypothesis to improve the "
- "metric, implement the change within mutable_surfaces only (leave fixed_surfaces "
- "untouched), run the research command, compare results against the target, and "
- "make a keep/revert decision. Respect research_constraints and cost_budget."
- )
- elif mode == "create":
- task += (
- "\n\nRun Create mode: read `skills/workflow-create/SKILL.md` for the full "
- "step-by-step playbook. This mode creates a new factory mode (workflow + skill + "
- "CLI wiring + tests) from the user's description above."
- )
-
- if no_github:
- task += (
- "\n\n## GitHub Operations Disabled\n\n"
- "The user has passed --no-github. Do NOT:\n"
- "- Create issues on GitHub\n"
- "- Create or post pull requests\n"
- "- Push to remote repositories\n"
- "- Clone from GitHub URLs\n\n"
- "Work locally only. When a GitHub operation would normally occur, "
- "skip it and note what was skipped in the experiment log."
- )
-
- if refine_request:
- task += (
- f"\n\n## Refinement Mode\n\n"
- f"**User's refinement request:** {refine_request}\n\n"
- f"You are in Refinement mode. Follow the `Mode: Refine` section in your "
- f"system prompt. The pipeline is:\n\n"
- f"1. Spawn the Refiner agent to classify and scope the request\n"
- f"2. If Tier 3 → exit, tell user to use full Improve mode\n"
- f"3. Begin experiment, create GitHub issue from Refiner's scoped task\n"
- f"4. Spawn Builder with the Refiner's task description\n"
- f"5. Run the FULL review pipeline (2d-review through 2h-final) — identical to Improve mode\n"
- f"6. Keep/revert verdict + finalize\n"
- f"7. Archivist (single batch)\n\n"
- f"Do NOT skip the review pipeline. Do NOT abbreviate any step.\n"
- )
-
- if clean_pr:
- task += (
- "\n\n## Clean PR Mode\n\n"
- "Clean PR mode is ACTIVE. After the final review gate (2h-final), "
- "run step 2i-clean before marking the PR ready:\n\n"
- "```bash\n"
- "factory clean-pr $PROJECT_PATH --exp $EXP_ID\n"
- "```\n\n"
- "This strips non-essential artifacts (eval scripts, benchmarks, .factory files) "
- "from the PR while preserving the full diff in the experiment archive. "
- "If stripping breaks tests, fall back to the full diff.\n"
- )
-
- return task
-
-
-def _chain_modes(
- project_path: Path,
- focus: str | None = None,
- min_growth: int | None = None,
- max_new: int | None = None,
- branch: str | None = None,
- already_improved: bool = False,
- max_chains: int = 3,
- model: str | None = None,
- no_github: bool = False,
- use_profile: bool = False,
- tmux_persist: bool = False,
- background: bool = False,
-) -> int:
- """After a cycle completes, re-detect state and chain into the next mode.
-
- This ensures builds and discoveries flow through the full pipeline
- automatically — Build → Discover → Review → Improve — without manual
- re-invocation. Returns 0 when one Improve cycle completes (or all
- chains are exhausted).
- """
- from factory.models import ProjectState
- from factory.state import detect_state
-
- for i in range(max_chains):
- state = detect_state(project_path)
- if state == ProjectState.HAS_FACTORY and already_improved:
- return 0
- next_mode = _auto_detect_mode(project_path)
- if next_mode == "improve":
- already_improved = True
- print(
- f"[factory] Chaining: state={state.value} → mode={next_mode} "
- f"(chain {i + 1}/{max_chains})",
- file=sys.stderr,
- )
- code = _run_single_cycle(
- project_path, next_mode, focus=focus,
- min_growth=min_growth, max_new=max_new, branch=branch,
- no_github=no_github, model=model, use_profile=use_profile,
- tmux_persist=tmux_persist, background=background,
- )
- if code != 0:
- return code
- return 0
-
-
-def _run_single_cycle(
- project_path: Path,
- mode: str,
- context: str | None = None,
- focus: str | None = None,
- prompt_file: str | None = None,
- min_growth: int | None = None,
- max_new: int | None = None,
- branch: str | None = None,
- discover_only: bool = False,
- no_github: bool = False,
- model: str | None = None,
- issue_number: int | None = None,
- issue_url: str | None = None,
- use_profile: bool = False,
- clean_pr: bool = False,
- tmux_persist: bool = False,
- background: bool = False,
-) -> int:
- """Execute a single factory run cycle via the CEO agent. Returns 0 on success, 1 on error."""
- from factory.agents.runner import invoke_agent
- from factory.worktree import create_worktree, remove_worktree
-
- if focus:
- from factory.study import add_backlog_item
- add_backlog_item(project_path, focus)
-
- from factory.messages import mark_read, read_pending
-
- pending = read_pending(project_path)
- pending_ids = [m.id for m in pending]
-
- base_branch = branch or _read_target_branch(project_path)
- wt_path, wt_branch = create_worktree(project_path, base_branch)
-
- try:
- task = _build_ceo_task(
- wt_path, mode, context, focus=focus, prompt_file=prompt_file,
- min_growth=min_growth, max_new=max_new, branch=branch,
- discover_only=discover_only, no_github=no_github,
- messages=pending,
- issue_number=issue_number,
- issue_url=issue_url,
- clean_pr=clean_pr,
- )
-
- result, code = _run(invoke_agent(
- "ceo",
- task,
- wt_path,
- timeout=7200.0,
- dangerously_skip_permissions=True,
- model=model,
- use_profile=use_profile,
- tmux_persist=tmux_persist,
- background=background,
- ))
-
- if code == 0:
- if pending_ids:
- mark_read(project_path, pending_ids)
-
- print(result)
- return code
- finally:
- remove_worktree(project_path, wt_path, wt_branch)
-
-
-def cmd_run(args: argparse.Namespace) -> int:
- """Run factory cycle(s) via the CEO agent. Supports single-shot and heartbeat loop."""
- from factory.user_config import load_config
-
- profile = getattr(args, "profile", None)
- load_config(profile=profile)
-
- project_path, context = _resolve_input(args.path)
- prompt_file = getattr(args, "prompt", None)
- loop = getattr(args, "loop", False)
- focus = getattr(args, "focus", None)
- discover_only = getattr(args, "discover_only", False)
- no_github = getattr(args, "no_github", False)
- if no_github:
- os.environ["FACTORY_NO_GITHUB"] = "1"
- min_growth = getattr(args, "min_growth", None)
- max_new = getattr(args, "max_new", None)
- branch = getattr(args, "branch", None)
- model = _resolve_model(args)
- use_profile_flag = getattr(args, "use_profile", False)
- tmux_persist = _resolve_tmux_persist(args)
- background = _resolve_background(args)
- bg_agents = _resolve_bg_agents(args)
- if bg_agents:
- background = False
- if background and tmux_persist:
- print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
- return 1
- if background and bg_agents:
- print("Error: --bg and --bg-agents are mutually exclusive.", file=sys.stderr)
- return 1
-
- if bg_agents:
- os.environ["FACTORY_BG"] = "1"
-
- if prompt_file:
- context = _read_prompt_file(project_path, prompt_file)
- issue_number: int | None = None
- issue_url: str | None = None
- if focus:
- from factory.issue import is_issue_ref
- if is_issue_ref(focus) and no_github:
- print("Error: --focus resolved to an issue reference, but --no-github is set. "
- "Issue fetching requires GitHub/GitLab CLI access.", file=sys.stderr)
- return 1
- issue_resolved = _resolve_focus_issue(focus, project_path)
- if issue_resolved:
- title, context, issue_number, issue_url = issue_resolved
- focus = f"{title} (issue #{issue_number})"
- mode = getattr(args, "mode", "auto")
- force_fresh = mode == "auto-fresh"
- if mode in ("auto", "auto-fresh"):
- mode = _auto_detect_mode(
- project_path, has_prompt=bool(prompt_file or context),
- force_fresh=force_fresh,
- )
-
- if focus and loop:
- print("Error: --focus (targeted mode) and --loop are mutually exclusive. "
- "Targeted mode builds exactly one item and exits.", file=sys.stderr)
- return 1
- if focus and prompt_file:
- print("Error: --focus (targeted mode) and --prompt are mutually exclusive. "
- "--focus builds one backlog item; --prompt executes a spec file.", file=sys.stderr)
- return 1
- if focus and mode not in ("improve", "research"):
- print(f"Error: --focus (targeted mode) only works in improve or research mode, got '{mode}'. "
- "The project must already be built before targeting specific items.", file=sys.stderr)
- return 1
-
- clean_pr_flag = getattr(args, "clean_pr", None)
- if clean_pr_flag is not None:
- clean_pr_resolved = clean_pr_flag
- else:
- config_path = project_path / ".factory" / "config.json"
- if config_path.exists():
- try:
- _cfg = json.loads(config_path.read_text())
- clean_pr_resolved = bool(_cfg.get("clean_pr", False))
- except (json.JSONDecodeError, OSError):
- clean_pr_resolved = False
- else:
- clean_pr_resolved = False
-
- _print_banner(mode)
- _ensure_dashboard(project_path)
-
- if context is not None and not (project_path / ".git").is_dir():
- _materialize_project(project_path, context)
-
- from factory.worktree import prune_stale
- if project_path.is_dir():
- pruned = prune_stale(project_path)
- if pruned:
- print(f" Cleaned {len(pruned)} stale worktree(s)", file=sys.stderr)
-
- budget_kwargs = dict(min_growth=min_growth, max_new=max_new, branch=branch)
- skip_improve = mode in ("improve", "meta") or discover_only
-
- if not loop:
- code = _run_single_cycle(
- project_path, mode, context, focus=focus, prompt_file=prompt_file,
- discover_only=discover_only, no_github=no_github, model=model,
- issue_number=issue_number,
- issue_url=issue_url,
- use_profile=use_profile_flag,
- clean_pr=clean_pr_resolved,
- tmux_persist=tmux_persist,
- background=background,
- **budget_kwargs,
- )
- if code != 0:
- return code
- return _chain_modes(
- project_path, focus=focus, already_improved=skip_improve,
- min_growth=min_growth, max_new=max_new, branch=branch,
- model=model, no_github=no_github, use_profile=use_profile_flag,
- tmux_persist=tmux_persist,
- background=background,
- )
-
- # Heartbeat loop mode
- interval: int = getattr(args, "interval", 1800)
- max_cycles: int | None = getattr(args, "max_cycles", None)
- shutdown_event = threading.Event()
-
- def _shutdown_handler(signum: int, frame: object) -> None:
- shutdown_event.set()
-
- old_sigterm = signal.signal(signal.SIGTERM, _shutdown_handler)
- old_sigint = signal.signal(signal.SIGINT, _shutdown_handler)
-
- cycle = 0
- start_time = time.monotonic()
-
- try:
- while True:
- cycle += 1
- ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
- print(f"[factory] Cycle {cycle} started at {ts}")
- _emit_cli_event(project_path, "cycle.started", {"cycle": cycle, "mode": mode})
-
- _run_single_cycle(
- project_path, mode, context, focus=focus, prompt_file=prompt_file,
- discover_only=discover_only, no_github=no_github, model=model,
- issue_number=issue_number,
- issue_url=issue_url,
- use_profile=use_profile_flag,
- clean_pr=clean_pr_resolved,
- tmux_persist=tmux_persist,
- background=background,
- **budget_kwargs,
- )
- _chain_modes(
- project_path, focus=focus, already_improved=skip_improve,
- min_growth=min_growth, max_new=max_new, branch=branch,
- model=model, no_github=no_github, use_profile=use_profile_flag,
- tmux_persist=tmux_persist,
- background=background,
- )
- _emit_cli_event(project_path, "cycle.completed", {"cycle": cycle, "mode": mode})
-
- # Re-detect mode for next cycle (state may have advanced)
- mode = _auto_detect_mode(project_path, has_prompt=bool(prompt_file or context))
-
- if shutdown_event.is_set():
- break
-
- if max_cycles is not None and cycle >= max_cycles:
- break
-
- print(f"[factory] Cycle {cycle} completed. Sleeping for {interval}s...")
-
- shutdown_event.wait(interval)
-
- if shutdown_event.is_set():
- break
- finally:
- signal.signal(signal.SIGTERM, old_sigterm)
- signal.signal(signal.SIGINT, old_sigint)
-
- elapsed = time.monotonic() - start_time
- print(
- f"[factory] Shutting down gracefully after {cycle} cycles."
- f" Total runtime: {elapsed:.0f}s"
- )
- return 0
-
-
-def _emit_cli_event(project_path: Path, event_type: str, data: dict) -> None:
- """Emit a factory event, swallowing errors."""
- try:
- from factory.events import emit_event
-
- emit_event(project_path, event_type, data=data)
- except Exception:
- pass
-
-
-# ── parser construction ────────────────────────────────────────
-
-
-def build_parser() -> argparse.ArgumentParser:
- parser = argparse.ArgumentParser(
- prog="factory",
- description="Remote Factory — domain-agnostic multi-agent software evolution loop",
- )
- sub = parser.add_subparsers(dest="command")
-
- # home
- sub.add_parser("home", help="Print factory installation root directory")
-
- # detect
- p = sub.add_parser("detect", help="Print project state")
- p.add_argument("path", help="Path to the project")
-
- # discover
- p = sub.add_parser("discover", help="Introspect project and generate eval profile")
- p.add_argument("path", help="Path to the project")
-
- # init
- p = sub.add_parser("init", help="Create .factory/ or reparse factory.md")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--reparse", action="store_true", help="Reparse existing factory.md")
-
- # eval
- p = sub.add_parser("eval", help="Run project evals, print JSON CompositeScore")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--skip-project-eval", action="store_true", default=False,
- help="Skip user-defined project eval dimensions (run only hygiene + growth)")
-
- # guard
- p = sub.add_parser("guard", help="Check guard rules, print violations or 'clean'")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--baseline", required=True, help="Baseline commit SHA")
- p.add_argument("--check-scope", action="store_true", help="Also check file scope")
- p.add_argument("--check-surfaces", action="store_true",
- help="Also check fixed surface constraints (research mode)")
-
- # begin
- p = sub.add_parser("begin", help="Start experiment, print ID")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--hypothesis", required=True, help="Experiment hypothesis text")
-
- # finalize
- p = sub.add_parser("finalize", help="Finalize experiment with verdict")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--id", required=True, type=int, help="Experiment ID")
- p.add_argument("--verdict", required=True, choices=["keep", "revert", "error"],
- help="Experiment verdict")
- p.add_argument("--hypothesis", default=None, help="Hypothesis text")
- p.add_argument("--summary", default=None, help="Change summary")
- p.add_argument("--cost", default=None, type=float, help="Cost in USD")
- p.add_argument("--issue", default=None, type=int, help="GitHub issue number")
- p.add_argument("--pr", default=None, type=int, help="GitHub PR number")
- p.add_argument("--notes", default=None, help="Additional notes")
- p.add_argument("--score-before", type=float, default=None, help="Eval score before change")
- p.add_argument("--score-after", type=float, default=None, help="Eval score after change")
- p.add_argument("--force", action="store_true", default=False,
- help="Bypass precheck gate (for pre-existing failures)")
-
- # history
- p = sub.add_parser("history", help="Print formatted experiment history table")
- p.add_argument("path", help="Path to the project")
-
- # notify
- p = sub.add_parser("notify", help="Send Telegram digest")
- p.add_argument("path", help="Path to the project")
-
- # study
- p = sub.add_parser("study", help="Read interaction logs and write observations")
- p.add_argument("path", help="Path to the project")
- p.add_argument(
- "--projects-dir", default=None,
- help="Directory containing factory-managed projects for cross-project insights",
- )
- p.add_argument(
- "--focus", default=None,
- help="Targeted mode: filter observations to a single backlog item",
- )
-
- # backlog-remove (alias: deferred-remove)
- p = sub.add_parser("backlog-remove", aliases=["deferred-remove"], help="Remove a completed backlog item")
- p.add_argument("path", help="Path to the project")
- p.add_argument("item", help="Exact text of the backlog item to remove")
-
- # backlog-list (alias: deferred-list)
- p = sub.add_parser("backlog-list", aliases=["deferred-list"], help="List pending backlog items")
- p.add_argument("path", help="Path to the project")
-
- # backlog-add
- p = sub.add_parser("backlog-add", help="Add a new item to the backlog")
- p.add_argument("path", help="Path to the project")
- p.add_argument("item", help="Text of the backlog item to add")
-
- # status
- p = sub.add_parser("status", help="Print project status summary")
- p.add_argument("path", help="Path to the project")
-
- # summary
- p = sub.add_parser("summary", help="Generate end-of-session summary report")
- p.add_argument("path", help="Path to the project")
-
- # leakage-check
- p = sub.add_parser("leakage-check", help="Scan text for ground truth leakage against fixed surfaces")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--text", default=None, help="Text to scan for leakage (hypothesis, strategy, etc.)")
- p.add_argument("--text-file", default=None, help="Path to file containing text to scan (safer for large diffs)")
- p.add_argument("--sensitivity", choices=["low", "medium", "high"], default="medium",
- help="Sensitivity level (default: medium)")
-
- # validate-research
- p = sub.add_parser("validate-research", help="Validate research mode configuration for ground truth isolation")
- p.add_argument("path", help="Path to the project")
-
- # backfill-citations
- p = sub.add_parser("backfill-citations", help="Extract citations from experiment text into citations.json")
- p.add_argument("path", help="Path to the project")
-
- # backfill-archive
- p = sub.add_parser("backfill-archive", help="Generate archive notes for experiments missing from archive")
- p.add_argument("path", help="Path to the project")
-
- # research
- p = sub.add_parser("research", help="Print research citation index for experiments")
- p.add_argument("path", help="Path to the project")
-
- # diff
- p = sub.add_parser("diff", help="Compare two experiments side-by-side")
- p.add_argument("path", help="Path to the project")
- p.add_argument("id_a", type=int, help="First experiment ID")
- p.add_argument("id_b", type=int, help="Second experiment ID")
-
- # explain
- p = sub.add_parser("explain", help="Explain a single experiment with FEEC analysis")
- p.add_argument("path", help="Path to the project")
- p.add_argument("id", type=int, help="Experiment ID")
-
- # export
- p = sub.add_parser("export", help="Export complete project snapshot as JSON to stdout")
- p.add_argument("path", help="Path to the project")
-
- # insights
- p = sub.add_parser("insights", help="Cross-project analysis of experiment histories")
- p.add_argument("path", help="Path to the project (insights.md written here)")
- p.add_argument(
- "--projects-dir", default=None,
- help="Directory containing factory-managed projects (default: from registry or ~/factory-projects)",
- )
-
- # report-update
- p = sub.add_parser("report-update", help="Generate performance report for a project")
- p.add_argument("path", help="Path to the project")
-
- # registry-list
- sub.add_parser("registry-list", help="List all registered factory-managed projects")
-
- # ace
- p = sub.add_parser("ace", help="Run ACE self-improvement on agent playbooks")
- p.add_argument("path", help="Path to the project")
- p.add_argument(
- "--projects-dir", default=None,
- help="Directory containing factory-managed projects (default: from registry or ~/factory-projects)",
- )
- p.add_argument(
- "--dry-run", action="store_true", default=False,
- help="Print candidates without writing playbooks",
- )
-
- # ace-stats
- sub.add_parser("ace-stats", help="Print playbook item counters for all roles")
-
- # digest
- p = sub.add_parser("digest", help="Summarize recent factory activity across projects")
- p.add_argument("--date", default=None, help="Show activity for a specific date (YYYY-MM-DD)")
- p.add_argument("--days", type=int, default=7, help="Number of days to look back (default: 7)")
-
- # archive
- p = sub.add_parser("archive", help="Write experiment notes to Obsidian vault")
- p.add_argument("path", help="Path to the project")
-
- # precheck
- p = sub.add_parser("precheck", help="Run hard precheck gate before keep/revert decision")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--score-before", type=float, default=None, help="Eval score before change")
- p.add_argument("--score-after", type=float, default=None, help="Eval score after change")
- p.add_argument("--hypothesis", default=None, help="Current experiment hypothesis")
- p.add_argument("--baseline", default=None, help="Baseline commit SHA for scope check")
- p.add_argument("--similarity-threshold", type=float, default=0.6,
- help="Similarity threshold for anti-pattern detection (default: 0.6)")
-
- # clean-pr
- p = sub.add_parser("clean-pr", help="Strip non-essential artifacts from a PR diff")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--exp", type=int, default=None, help="Experiment ID (archives full diff before stripping)")
-
- # baseline
- p = sub.add_parser("baseline", help="Fetch stored eval baseline from eval-data branch")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--commit", default=None,
- help="Commit SHA to look up (default: git merge-base HEAD <target-branch>)")
-
- # refine-status
- p = sub.add_parser("refine-status", help="Print refinement state and regrounding output")
- p.add_argument("path", help="Path to the project")
-
- # refine-begin
- p = sub.add_parser("refine-begin", help="Record a new refinement and emit regrounding output")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--request", required=True, help="Summary of the user's refinement request")
-
- # refine-complete
- p = sub.add_parser("refine-complete", help="Complete the current refinement with a verdict")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--verdict", required=True, choices=["keep", "revert", "error", "tier3_exit"],
- help="Refinement verdict")
-
- # review
- p = sub.add_parser("review", help="Format and post a structured review on a GitHub PR")
- p.add_argument("--verdict", required=True, choices=["keep", "revert", "KEEP", "REVERT"],
- help="Review verdict")
- p.add_argument("--reason", default=None, help="One-sentence reason for the verdict")
- p.add_argument("--score-before", type=float, default=None, help="Score before change")
- p.add_argument("--score-after", type=float, default=None, help="Score after change")
- p.add_argument("--threshold", type=float, default=0.8, help="Eval threshold")
- p.add_argument("--guards", default=None,
- help="Guard results as 'check:PASS,check:FAIL' pairs")
- p.add_argument("--precheck-summary", default=None, help="Precheck gate output summary")
- p.add_argument("--code-notes", default=None,
- help="Code review notes separated by | (pipe)")
- p.add_argument("--experiment-id", type=int, default=None, help="Experiment ID")
- p.add_argument("--hypothesis", default=None, help="Experiment hypothesis text")
- p.add_argument("--pr", type=int, default=None, help="PR number to post review on")
- p.add_argument("--repo", default=None, help="GitHub repo (owner/name) for the PR")
- p.add_argument("--dry-run", action="store_true", default=False,
- help="Print review without posting")
-
- # checkpoint
- p = sub.add_parser("checkpoint", help="Show or save a CEO checkpoint for crash-resilient resume")
- p.add_argument("path", help="Path to the project")
- ckpt_action = p.add_mutually_exclusive_group()
- ckpt_action.add_argument("--save", action="store_true", default=False, help="Save a checkpoint")
- ckpt_action.add_argument("--clear", action="store_true", default=False,
- help="Clear the checkpoint file")
- p.add_argument("--mode", default=None, help="CEO mode (e.g. improve, build)")
- p.add_argument("--experiment", type=int, default=None, help="Active experiment ID")
- p.add_argument("--completed", default=None,
- help="Comma-separated list of completed agent roles")
- p.add_argument("--pending", default=None,
- help="Comma-separated list of pending agent roles")
- p.add_argument("--scores", default=None,
- help="JSON dict of eval scores (e.g. '{\"tests\": 0.9}')")
- p.add_argument("--hypothesis", default=None, help="Current hypothesis text")
- p.add_argument("--completed-hypotheses", default=None,
- help="Comma-separated list of completed experiment IDs (e.g. '1,2,3')")
-
- # resume
- p = sub.add_parser("resume", help="Load checkpoint and display resume context")
- p.add_argument("path", help="Path to the project")
-
- # log
- p = sub.add_parser("log", help="Append a structured event to .factory/events.jsonl")
- p.add_argument("path", help="Path to the project")
- p.add_argument("event_type", help="Event type (e.g. phase.research.completed)")
- p.add_argument("--data", help="JSON data payload")
- p.add_argument("--agent", help="Agent name to attribute the event to")
-
- # vault-init
- p = sub.add_parser("vault-init", help="Create the factory Obsidian vault")
-
- # message — send a directive to the CEO
- p = sub.add_parser("message", help="Send a message to the CEO for the next cycle")
- p.add_argument("path", help="Path to the project")
- p.add_argument("text", help="Message text")
-
- # self-update
- sub.add_parser("self-update", help="Upgrade the factory CLI to the latest version")
-
- # install — install Factory agents as Claude Code or Codex CLI agents
- p = sub.add_parser("install", help="Install Factory agents as CLI agents (~/.claude/agents/ or ~/.codex/agents/)")
- p.add_argument(
- "--role",
- default=None,
- help="Install only a specific agent role (default: all)",
- )
- p.add_argument(
- "--runner",
- choices=["claude", "codex"],
- default="claude",
- help="Target CLI: claude writes Markdown to ~/.claude/agents/, codex writes TOML to ~/.codex/agents/ (default: claude)",
- )
-
- # usage — token usage breakdown
- p = sub.add_parser("usage", help="Show per-agent token usage and cost breakdown")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--json", action="store_true", default=False,
- help="Output as JSON instead of table")
-
- # runners — runner management
- runners_parser = sub.add_parser("runners", help="Manage factory runners")
- runners_sub = runners_parser.add_subparsers(dest="runners_command")
- p_runners_list = runners_sub.add_parser("list", help="List all registered runners")
- p_runners_list.add_argument("--json", action="store_true", default=False,
- help="Output as JSON")
-
- # serve-mcp — MCP stdio server
- sub.add_parser("serve-mcp", help="Start the Factory MCP stdio server")
-
- # dashboard — live web dashboard
- p = sub.add_parser("dashboard", help="Launch the live Factory dashboard")
- p.add_argument(
- "--projects-dir", default="~/factory-projects",
- help="Directory containing factory-managed projects (default: ~/factory-projects)",
- )
- p.add_argument("--port", type=int, default=8420, help="Server port (default: 8420)")
- p.add_argument("--host", default="0.0.0.0", help="Server host (default: 0.0.0.0)")
-
- # config — user configuration management
- config_parser = sub.add_parser("config", help="Manage ~/.factory/config.toml")
- config_sub = config_parser.add_subparsers(dest="config_command")
- p_show = config_sub.add_parser("show", help="Show resolved config (secrets masked)")
- p_show.add_argument("--reveal", action="store_true", default=False,
- help="Show full secret values instead of masking")
- config_sub.add_parser("edit", help="Open config.toml in $EDITOR")
- config_sub.add_parser("migrate", help="Create starter config.toml from current env vars")
-
- # profile — user profile management
- profile_parser = sub.add_parser("profile", help="Manage the user profile at ~/.factory/profile.md")
- profile_sub = profile_parser.add_subparsers(dest="profile_command")
- p_build = profile_sub.add_parser("build", help="Collect evidence and synthesize user profile")
- p_build.add_argument("paths", nargs="*", default=None,
- help="Project paths to collect evidence from (default: all registered)")
- p_build.add_argument("--dry-run", action="store_true", default=False,
- help="Print collected evidence without running LLM synthesis")
- p_build.add_argument("--runner", default=None,
- help="CLI backend to use for synthesis")
- profile_sub.add_parser("show", help="Print the current user profile")
-
- # emit — emit a structured event to .factory/events.jsonl
- p = sub.add_parser("emit", help="Emit a structured event to .factory/events.jsonl")
- p.add_argument("event_type", help="Event type (e.g. agent.started, agent.completed)")
- p.add_argument("--agent", default=None, help="Agent role name")
- p.add_argument("--project", default=".", help="Project path")
- p.add_argument("--data", default=None, help="JSON string of additional event data")
-
- # agent — invoke a specialist agent directly
- p = sub.add_parser("agent", help="Invoke a specialist agent with a task")
- p.add_argument("role", choices=["researcher", "strategist", "builder", "qa",
- "archivist", "ceo",
- "failure_analyst", "refiner"],
- help="Agent role to invoke")
- p.add_argument("--task", required=True, help="Task description for the agent")
- p.add_argument("--project", required=True, help="Path to the project")
- p.add_argument("--timeout", type=float, default=600.0,
- help="Timeout in seconds (default: 600)")
- p.add_argument("--model", default=None,
- help="Claude model for agent subprocess (default: FACTORY_MODEL env var, or claude CLI default)")
- p.add_argument("--runner", default=None,
- help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
- p.add_argument("--profile", default=None,
- help="Credential profile from ~/.factory/config.toml")
- p.add_argument("--use-profile", action="store_true", default=False,
- help="Inject user profile (~/.factory/profile.md) into the agent prompt")
- p.add_argument("--tmux-persist", action="store_true", default=False,
- help="Run agent interactively in a tmux window instead of headless (claude only)")
- p.add_argument("--bg", action="store_true", default=False,
- help="Dispatch agent as a background session via claude agent view (claude only)")
- p.add_argument("--review-tag", default=None,
- help="Tag for distinct review output files (writes <role>-<tag>-latest.md)")
- p.add_argument("--parent-session", default=None,
- help="Parent session ID for linking specialist sessions to a CEO cycle session")
-
- # ceo — launch the Factory CEO agent directly
- p = sub.add_parser("ceo", help="Launch the Factory CEO agent (interactive by default)")
- p.add_argument("path", nargs="?", default=None,
- help="Project path, GitHub URL, idea file path, or prompt. "
- "In design mode, pass a raw idea string")
- p.add_argument(
- "--prompt", default=None,
- help="Path to a prompt/spec file (absolute or relative to project). "
- "Loaded as the build spec into .factory/strategy/current.md",
- )
- p.add_argument(
- "--mode",
- choices=["auto", "auto-fresh", "build", "discover", "improve", "meta", "design", "interactive", "research", "review", "create"],
- default="auto",
- help="Run mode: auto (default, respects in-flight cycle), auto-fresh (ignores in-flight cycle), "
- "build, discover, improve, meta, design (research + brainstorm → spec → build), "
- "research (autonomous research optimization), review (on-demand PR review), "
- "or create (meta-mode for creating new factory modes)",
- )
- p.add_argument(
- "--focus", default=None,
- help="Target a specific item: backlog name ('dashboard UI'), issue number (42), "
- "URL (https://github.com/o/r/issues/42), or shorthand (owner/repo#42). "
- "Issue refs are auto-detected and fetched via gh/glab CLI",
- )
- p.add_argument(
- "--dir", default=None,
- help="Working directory name for the new project (overrides auto-derived name from prompt or idea file). "
- "Ignored when pointing at an existing directory or GitHub URL.",
- )
- p.add_argument(
- "--headless", action="store_true", default=False,
- help="Run in pipe mode (non-interactive) instead of foreground",
- )
- p.add_argument(
- "--discover-only", action="store_true", default=False,
- help="Only run discovery and review — do not chain into improve",
- )
- p.add_argument(
- "--no-github", action="store_true", default=False,
- help="Disable GitHub operations (issue creation, PR posting, cloning)",
- )
- p.add_argument("--min-growth", type=int, default=None,
- help="Minimum guaranteed growth hypotheses (default: 2)")
- p.add_argument("--max-new", type=int, default=None,
- help="Max new items added to backlog per cycle (default: 2)")
- p.add_argument("--branch", default=None,
- help="Target branch for PRs (default: from factory.md, fallback: main)")
- p.add_argument("--model", default=None,
- help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
- p.add_argument("--runner", default=None,
- help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
- p.add_argument("--profile", default=None,
- help="Credential profile from ~/.factory/config.toml")
- p.add_argument(
- "--refine", default=None, metavar="REQUEST",
- help="Refinement mode: classify and implement a user-directed change. "
- "Mutually exclusive with --mode design, --mode research, --mode meta, --prompt, --focus",
- )
- p.add_argument("--use-profile", action="store_true", default=False,
- help="Inject user profile (~/.factory/profile.md) into agent prompts")
- clean_pr_group = p.add_mutually_exclusive_group()
- clean_pr_group.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
- help="Enable clean PR mode: strip non-essential artifacts before PR")
- clean_pr_group.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
- help="Disable clean PR mode")
- p.add_argument("--tmux-persist", action="store_true", default=False,
- help="Run agent interactively in a tmux window instead of headless (claude only)")
- p.add_argument("--bg", action="store_true", default=False,
- help="Dispatch agent as a background session via claude agent view (claude only)")
- p.add_argument("--bg-agents", action="store_true", default=False,
- help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
- p.add_argument("--pr", type=int, default=None,
- help="PR number for --mode review (required when mode=review)")
- p.add_argument("--repo", default=None,
- help="Repository (owner/repo) for --mode review (optional, defaults to current repo)")
-
- # run
- p = sub.add_parser("run", help="Run factory cycle (delegates to CEO agent)")
- p.add_argument("path", help="Project path, GitHub URL, idea file path, or prompt")
- p.add_argument(
- "--prompt", default=None,
- help="Path to a prompt/spec file (absolute or relative to project). "
- "Loaded as the build spec into .factory/strategy/current.md",
- )
- p.add_argument(
- "--mode",
- choices=["auto", "auto-fresh", "build", "discover", "improve", "meta", "research"],
- default="auto",
- help="Run mode: auto (default, respects in-flight cycle), auto-fresh (ignores in-flight cycle), "
- "build, discover, improve, meta, or research",
- )
- p.add_argument(
- "--focus", default=None,
- help="Target a specific item: backlog name ('dashboard UI'), issue number (42), "
- "URL (https://github.com/o/r/issues/42), or shorthand (owner/repo#42). "
- "Issue refs are auto-detected and fetched via gh/glab CLI",
- )
- p.add_argument(
- "--discover-only", action="store_true", default=False,
- help="Only run discovery and review — do not chain into improve",
- )
- p.add_argument(
- "--no-github", action="store_true", default=False,
- help="Disable GitHub operations (issue creation, PR posting, cloning)",
- )
- p.add_argument(
- "--loop", action="store_true", default=False,
- help="Enable heartbeat mode: run continuously with sleep between cycles",
- )
- p.add_argument(
- "--interval", type=int, default=1800,
- help="Seconds to sleep between cycles (default: 1800)",
- )
- p.add_argument(
- "--max-cycles", type=int, default=None,
- help="Maximum number of cycles (default: unlimited)",
- )
- p.add_argument("--min-growth", type=int, default=None,
- help="Minimum guaranteed growth hypotheses (default: 2)")
- p.add_argument("--max-new", type=int, default=None,
- help="Max new items added to backlog per cycle (default: 2)")
- p.add_argument("--branch", default=None,
- help="Target branch for PRs (default: from factory.md, fallback: main)")
- p.add_argument("--model", default=None,
- help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
- p.add_argument("--runner", default=None,
- help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
- p.add_argument("--profile", default=None,
- help="Credential profile from ~/.factory/config.toml")
- p.add_argument("--use-profile", action="store_true", default=False,
- help="Inject user profile (~/.factory/profile.md) into agent prompts")
- run_clean_pr_group = p.add_mutually_exclusive_group()
- run_clean_pr_group.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
- help="Enable clean PR mode: strip non-essential artifacts before PR")
- run_clean_pr_group.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
- help="Disable clean PR mode")
- p.add_argument("--tmux-persist", action="store_true", default=False,
- help="Run agent interactively in a tmux window instead of headless (claude only)")
- p.add_argument("--bg", action="store_true", default=False,
- help="Dispatch agent as a background session via claude agent view (claude only)")
- p.add_argument("--bg-agents", action="store_true", default=False,
- help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
-
- # tmux — launch factory run in a detached tmux session
- p = sub.add_parser("tmux", help="Launch factory run in a detached tmux session")
- p.add_argument("path", help="Path to the project")
- p.add_argument("--session", default=None, help="Custom tmux session name")
- p.add_argument(
- "--mode",
- choices=["auto", "auto-fresh", "build", "discover", "improve", "meta", "research"],
- default="auto",
- help="Run mode (default: auto, respects in-flight cycle)",
- )
- p.add_argument("--loop", action="store_true", default=False, help="Enable loop mode")
- p.add_argument("--interval", type=int, default=1800, help="Loop interval in seconds")
- p.add_argument("--max-cycles", type=int, default=None, help="Max cycles for loop mode")
- p.add_argument("--attach", action="store_true", default=False,
- help="Attach to session after creating")
- p.add_argument(
- "--no-github", action="store_true", default=False,
- help="Disable GitHub operations (issue creation, PR posting, cloning)",
- )
- p.add_argument("--model", default=None,
- help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
- p.add_argument("--runner", default=None,
- help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
- p.add_argument("--profile", default=None,
- help="Credential profile from ~/.factory/config.toml")
- p.add_argument(
- "--focus", default=None,
- help="Target a specific item: backlog name, issue number, URL, or shorthand",
- )
- p.add_argument(
- "--refine", default=None, metavar="REQUEST",
- help="Refinement mode: classify and implement a user-directed change",
- )
- tmux_clean_pr = p.add_mutually_exclusive_group()
- tmux_clean_pr.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
- help="Enable clean PR mode")
- tmux_clean_pr.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
- help="Disable clean PR mode")
- p.add_argument(
- "--prompt", default=None,
- help="Path to a prompt/spec file",
- )
- p.add_argument("--branch", default=None,
- help="Target branch for PRs")
- p.add_argument("--min-growth", type=int, default=None,
- help="Minimum guaranteed growth hypotheses")
- p.add_argument("--max-new", type=int, default=None,
- help="Max new items added to backlog per cycle")
- p.add_argument("--discover-only", action="store_true", default=False,
- help="Only run discovery and review — do not chain into improve")
- p.add_argument("--bg-agents", action="store_true", default=False,
- help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
- p.add_argument("--tmux-persist", action="store_true", default=False,
- help="Run agent interactively in a tmux window instead of headless (claude only)")
- p.add_argument("--use-profile", action="store_true", default=False,
- help="Inject user profile (~/.factory/profile.md) into agent prompts")
-
- # tmux-ls — list factory tmux sessions
- p = sub.add_parser("tmux-ls", help="List running factory tmux sessions")
- p.add_argument("--json", action="store_true", default=False, dest="json_output",
- help="Output as JSON array for programmatic consumption")
-
- # tmux-stop — stop factory tmux sessions
- p = sub.add_parser("tmux-stop", help="Stop factory tmux session(s)")
- p.add_argument("--session", default=None, help="Session name to stop")
- p.add_argument("--path", default=None, help="Project path (derives session name)")
- p.add_argument("--all", action="store_true", default=False, dest="stop_all",
- help="Stop ALL factory tmux sessions (required when no --session/--path given)")
-
- # refactory — persistent supervisor agent
- p = sub.add_parser("refactory", help="Launch the re:factory persistent supervisor agent")
- p.add_argument("path", nargs="?", default=None,
- help="Project directory (default: current working directory)")
- p.add_argument("--reset", action="store_true", default=False,
- help="Reset session (new session ID, fresh start)")
- p.add_argument("--model", default=None,
- help="Claude model override")
-
- # workflow — graph engine commands
- from factory.workflow.cli import add_workflow_parser
- add_workflow_parser(sub)
-
- return parser
-
-
-def _load_env_local() -> None:
- """Auto-load .env.local if present, exporting vars into os.environ."""
- for candidate in [Path(".env.local"), Path.home() / "remote-factory" / ".env.local"]:
- if candidate.exists():
- for line in candidate.read_text().splitlines():
- line = line.strip()
- if not line or line.startswith("#"):
- continue
- if "=" in line:
- key, _, value = line.partition("=")
- os.environ.setdefault(key.strip(), value.strip())
- break
-
-
-def main(argv: list[str] | None = None) -> int:
- _load_env_local()
- parser = build_parser()
- args = parser.parse_args(argv)
-
- if not args.command:
- if sys.stdin.isatty() and sys.stderr.isatty():
- return cmd_refactory(args)
- parser.print_help()
- return 1
-
- handlers = {
- "home": cmd_home,
- "detect": cmd_detect,
- "discover": cmd_discover,
- "init": cmd_init,
- "eval": cmd_eval,
- "guard": cmd_guard,
- "begin": cmd_begin,
- "finalize": cmd_finalize,
- "history": cmd_history,
- "notify": cmd_notify,
- "study": cmd_study,
- "backlog-remove": cmd_backlog_remove,
- "deferred-remove": cmd_backlog_remove,
- "backlog-list": cmd_backlog_list,
- "deferred-list": cmd_backlog_list,
- "backlog-add": cmd_backlog_add,
- "status": cmd_status,
- "summary": cmd_summary,
- "research": cmd_research,
- "backfill-citations": cmd_backfill_citations,
- "backfill-archive": cmd_backfill_archive,
- "diff": cmd_diff,
- "explain": cmd_explain,
- "export": cmd_export,
- "insights": cmd_insights,
- "report-update": cmd_report_update,
- "registry-list": cmd_registry_list,
- "ace": cmd_ace,
- "ace-stats": cmd_ace_stats,
- "digest": cmd_digest,
- "archive": cmd_archive,
- "precheck": cmd_precheck,
- "clean-pr": cmd_clean_pr,
- "baseline": cmd_baseline,
- "leakage-check": cmd_leakage_check,
- "validate-research": cmd_validate_research,
- "refine-status": cmd_refine_status,
- "refine-begin": cmd_refine_begin,
- "refine-complete": cmd_refine_complete,
- "review": cmd_review,
- "checkpoint": cmd_checkpoint,
- "resume": cmd_resume,
- "log": cmd_log,
- "vault-init": cmd_vault_init,
- "message": cmd_message,
- "self-update": cmd_self_update,
- "install": cmd_install,
- "serve-mcp": cmd_serve_mcp,
- "dashboard": cmd_dashboard,
- "config": cmd_config,
- "profile": cmd_profile,
- "emit": cmd_emit,
- "usage": cmd_usage,
- "runners": cmd_runners_list,
- "agent": cmd_agent,
- "ceo": cmd_ceo,
- "run": cmd_run,
- "tmux": cmd_tmux,
- "tmux-ls": cmd_tmux_ls,
- "tmux-stop": cmd_tmux_stop,
- "refactory": cmd_refactory,
- "workflow": lambda a: __import__("factory.workflow.cli", fromlist=["cmd_workflow"]).cmd_workflow(a),
- }
-
- try:
- return handlers[args.command](args)
- except Exception as e:
- print(f"Error: {e}", file=sys.stderr)
- return 1
-
-
-if __name__ == "__main__":
- raise SystemExit(main())
diff --git a/factory/cli/__init__.py b/factory/cli/__init__.py
new file mode 100644
index 000000000..f145b2d09
--- /dev/null
+++ b/factory/cli/__init__.py
@@ -0,0 +1,117 @@
+"""CLI entry point for the factory — argparse subcommands wrapping library functions."""
+
+from __future__ import annotations
+
+from factory.cli._helpers import CEO_MODES as CEO_MODES
+from factory.cli._helpers import RUN_MODES as RUN_MODES
+from factory.cli._main import build_parser as build_parser
+from factory.cli._main import main as main
+from factory.cli.admin import (
+ cmd_config as cmd_config,
+ cmd_detect as cmd_detect,
+ cmd_discover as cmd_discover,
+ cmd_emit as cmd_emit,
+ cmd_home as cmd_home,
+ cmd_init as cmd_init,
+ cmd_install as cmd_install,
+ cmd_log as cmd_log,
+ cmd_notify as cmd_notify,
+ cmd_profile as cmd_profile,
+ cmd_self_update as cmd_self_update,
+ cmd_study as cmd_study,
+ cmd_usage as cmd_usage,
+)
+from factory.cli.agents import (
+ cmd_ace as cmd_ace,
+ cmd_ace_stats as cmd_ace_stats,
+ cmd_agent as cmd_agent,
+ cmd_runners_list as cmd_runners_list,
+)
+from factory.cli.backlog import (
+ cmd_backlog_add as cmd_backlog_add,
+ cmd_backlog_list as cmd_backlog_list,
+ cmd_backlog_remove as cmd_backlog_remove,
+)
+from factory.cli._tmux_commands import (
+ cmd_tmux as cmd_tmux,
+ cmd_tmux_capture as cmd_tmux_capture,
+ cmd_tmux_ls as cmd_tmux_ls,
+ cmd_tmux_stop as cmd_tmux_stop,
+)
+from factory.cli.mempalace import cmd_mempalace as cmd_mempalace
+from factory.cli.contained import (
+ cmd_contained as cmd_contained,
+)
+from factory.cli.ceo import (
+ cmd_ceo as cmd_ceo,
+ cmd_refactory as cmd_refactory,
+)
+from factory.cli.run import (
+ cmd_run as cmd_run,
+)
+from factory.cli.graph import (
+ cmd_graph_explain as cmd_graph_explain,
+ cmd_graph_extract as cmd_graph_extract,
+ cmd_graph_path as cmd_graph_path,
+ cmd_graph_query as cmd_graph_query,
+ cmd_graph_status as cmd_graph_status,
+ cmd_graph_update as cmd_graph_update,
+)
+from factory.cli.eval_cmds import (
+ cmd_adversarial_state as cmd_adversarial_state,
+ cmd_baseline as cmd_baseline,
+ cmd_eval as cmd_eval,
+ cmd_guard as cmd_guard,
+ cmd_precheck as cmd_precheck,
+)
+from factory.cli.infra import (
+ cmd_archive as cmd_archive,
+ cmd_backfill_archive as cmd_backfill_archive,
+ cmd_checkpoint as cmd_checkpoint,
+ cmd_dashboard as cmd_dashboard,
+ cmd_resume as cmd_resume,
+ cmd_serve_mcp as cmd_serve_mcp,
+ cmd_vault_init as cmd_vault_init,
+)
+from factory.cli.registry import (
+ cmd_digest as cmd_digest,
+ cmd_insights as cmd_insights,
+ cmd_registry_list as cmd_registry_list,
+ cmd_report_update as cmd_report_update,
+)
+from factory.cli.research import (
+ cmd_backfill_citations as cmd_backfill_citations,
+ cmd_leakage_check as cmd_leakage_check,
+ cmd_research as cmd_research,
+ cmd_validate_research as cmd_validate_research,
+)
+from factory.cli.review import (
+ cmd_clean_pr as cmd_clean_pr,
+ cmd_refine_begin as cmd_refine_begin,
+ cmd_refine_complete as cmd_refine_complete,
+ cmd_refine_status as cmd_refine_status,
+ cmd_review as cmd_review,
+)
+from factory.cli.spec import (
+ cmd_spec_apply_diff as cmd_spec_apply_diff,
+ cmd_spec_generate as cmd_spec_generate,
+ cmd_spec_impact as cmd_spec_impact,
+ cmd_spec_scope as cmd_spec_scope,
+ cmd_spec_update as cmd_spec_update,
+ cmd_spec_validate as cmd_spec_validate,
+)
+from factory.cli.store import (
+ cmd_begin as cmd_begin,
+ cmd_diff as cmd_diff,
+ cmd_explain as cmd_explain,
+ cmd_export as cmd_export,
+ cmd_finalize as cmd_finalize,
+ cmd_history as cmd_history,
+ cmd_message as cmd_message,
+ cmd_status as cmd_status,
+ cmd_summary as cmd_summary,
+)
+
+
+if __name__ == "__main__":
+ raise SystemExit(main())
diff --git a/factory/cli/__main__.py b/factory/cli/__main__.py
new file mode 100644
index 000000000..bd0087481
--- /dev/null
+++ b/factory/cli/__main__.py
@@ -0,0 +1,3 @@
+from factory.cli import main
+
+raise SystemExit(main())
diff --git a/factory/cli/_ceo_dispatch.py b/factory/cli/_ceo_dispatch.py
new file mode 100644
index 000000000..9cdc10bd5
--- /dev/null
+++ b/factory/cli/_ceo_dispatch.py
@@ -0,0 +1,80 @@
+"""CEO session dispatch — worktree setup, tailer management, session execution."""
+from __future__ import annotations
+
+import os
+from collections.abc import Callable
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+
+def _start_ceo_tailer(
+ wt_path: Path, cycle_span_id: str | None, start_time: float,
+ on_line: Callable[[bytes], None] | None = None,
+ is_headless: bool = False,
+) -> object | None:
+ """Create the CEO span eagerly and start a TranscriptTailer.
+
+ When *is_headless* is True, skip span creation -- headless runs manage
+ their own telemetry via the completion guard.
+ """
+ try:
+ from factory.telemetry import TranscriptTailer, begin_span, flush, is_enabled
+
+ trace_id = ""
+ ceo_span_id = ""
+
+ if cycle_span_id and is_enabled() and not is_headless:
+ trace_id = os.environ.get("FACTORY_TRACE_ID", "")
+ if trace_id:
+ span = begin_span(trace_id, cycle_span_id, "ceo")
+ if span:
+ ceo_span_id = span
+ flush()
+
+ if not trace_id and not on_line:
+ return None
+
+ tailer = TranscriptTailer(
+ trace_id=trace_id,
+ span_id=ceo_span_id,
+ project_path=wt_path,
+ session_start=start_time,
+ on_line=on_line,
+ )
+ tailer.start()
+ return tailer
+ except Exception:
+ return None
+
+
+def _stop_ceo_tailer(tailer: object | None) -> None:
+ """Stop the tailer, drain remaining lines, and end the CEO span.
+
+ Uses the observation object directly when available so that output
+ metadata (line count) is attached before the span closes.
+ """
+ if tailer is None:
+ return
+ try:
+ from factory.telemetry import _observations, end_span, flush
+
+ count = tailer.stop_and_drain() # type: ignore[attr-defined]
+ span_id = getattr(tailer, "span_id", None)
+ if span_id:
+ obs = _observations.get(span_id)
+ if obs is not None:
+ obs.update(
+ output=f"CEO session completed ({count} observations ingested)",
+ metadata={"status": "completed", "observations_count": count},
+ )
+ obs.end()
+ _observations.pop(span_id, None)
+ else:
+ trace_id = os.environ.get("FACTORY_TRACE_ID", "")
+ end_span(trace_id, span_id, status="completed")
+ flush()
+ except Exception:
+ pass
diff --git a/factory/cli/_ceo_helpers.py b/factory/cli/_ceo_helpers.py
new file mode 100644
index 000000000..33d6ddd31
--- /dev/null
+++ b/factory/cli/_ceo_helpers.py
@@ -0,0 +1,946 @@
+"""CEO flag validation, project resolution, and execution logic."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import re
+import structlog
+import sys
+import time
+from pathlib import Path
+
+from factory.cli._ceo_dispatch import _start_ceo_tailer, _stop_ceo_tailer
+from factory.cli._helpers import (
+ _emit_cli_event,
+ _ensure_dashboard,
+ get_all_ceo_modes,
+ _print_banner,
+ _read_target_branch,
+ _resolve_runner,
+ _run,
+ _safe_is_dir,
+ _safe_is_file,
+ warn_deprecated_mode,
+)
+from factory.cli._mode_handlers import (
+ _resolve_background,
+ _resolve_bg_agents,
+ _resolve_model,
+ _resolve_tmux_persist,
+)
+from factory.cli._path_resolver import (
+ PlanSource,
+ _dedupe_project_path,
+ _derive_session_name,
+ _extract_project_name,
+ _get_projects_dir,
+ _has_research_target,
+ _is_scaffold_only,
+ _materialize_project,
+ _read_prompt_file,
+ _resolve_input,
+ _resolve_plan_source,
+ _slugify,
+)
+from factory.cli._task_builder import _build_ceo_task
+from factory.cli.run import _chain_modes
+
+log = structlog.get_logger()
+
+
+def _tool_exec_protocol(wt_path: Path) -> str:
+ """Return the tool-exec protocol section appended to the CEO prompt."""
+ p = wt_path
+
+ overview = ""
+ try:
+ from factory.workflow.tool import tool_overview
+ overview = tool_overview(p, fmt="linear")
+ except Exception:
+ pass
+
+ protocol = (
+ "\n\n# Tool-Based Execution Protocol\n"
+ "\n"
+ "You are executing the workflow using factory tool commands instead of "
+ "following a SKILL.md playbook.\n"
+ )
+
+ if overview:
+ protocol += (
+ "\n## Workflow Map\n"
+ "\n"
+ f"{overview}\n"
+ )
+
+ protocol += (
+ "\n## Commands\n"
+ "\n"
+ f" factory workflow tool next {p}\n"
+ f" factory workflow tool submit {p} --node <NODE_ID> <<'TOOL_OUTPUT'\n"
+ " <your output>\n"
+ " TOOL_OUTPUT\n"
+ f" factory workflow tool status {p}\n"
+ f" factory workflow tool curr {p}\n"
+ "\n"
+ "## Protocol\n"
+ "\n"
+ '1. Run "next" to see your current task — it tells you the node type, '
+ "role, and what to do\n"
+ "2. Execute the task:\n"
+ " - Agent nodes: run factory agent <role> --task \"...\" --project <path>\n"
+ " - Study nodes: run the study command shown\n"
+ " - Function nodes: run the command shown\n"
+ '3. Run "next" again — the tool auto-detects that the previous node completed\n'
+ " (by checking for output files) and advances to the next task\n"
+ "4. Repeat until GATE or DONE\n"
+ "5. For GATE nodes: the tool asks you to evaluate — read the artifacts, then\n"
+ ' call "submit" with your verdict (PROCEED, RETRY, or HALT)\n'
+ "6. If RETRY: the tool rewinds — run \"next\" to get the retry task\n"
+ "7. If DONE: report completion\n"
+ "\n"
+ "## Important\n"
+ "\n"
+ "- For most nodes, just run the command and call \"next\" — the tool handles tracking\n"
+ '- Only call "submit" for gate verdicts (PROCEED/RETRY/HALT)\n'
+ "- The tool auto-detects agent completion via .factory/reviews/ files\n"
+ "- The tool auto-evaluates fn gates (precheck, guard) on your behalf\n"
+ "- All Sacred Rules still apply — delegate to agents, review output, "
+ "do not write code\n"
+ '- Start by running "next" to get your first task\n'
+ "\n"
+ "## Loop Context\n"
+ "\n"
+ "For any node that is a RELOOP target in the workflow graph, the tool "
+ "engine automatically injects a **## LOOP CONTEXT** section into the "
+ "node's task description — starting from the very first invocation "
+ "(iteration 0). This section shows:\n"
+ "- The full loop topology (all nodes from this node through the gate) "
+ "with reads/writes\n"
+ "- The gate's criteria and evaluator command\n"
+ "- The current iteration count (e.g. 0/3 on first pass, 1/3 after first reloop)\n"
+ "\n"
+ "After a RELOOP occurs, the section also includes:\n"
+ "- Which gate triggered the reloop\n"
+ "- Feedback history from prior iterations (last 2, truncated to 500 chars)\n"
+ "\n"
+ "Incorporate gate criteria from the LOOP CONTEXT section into your agent "
+ "task prompts. When spawning a builder agent, include what downstream "
+ "gates will check (e.g. health check criteria, code review expectations, "
+ "QA scope) so the builder can proactively address them. This reduces "
+ "reloops by making the builder aware of review criteria upfront.\n"
+ "\n"
+ "No separate command is needed — context is injected automatically by "
+ "the tool engine.\n"
+ )
+
+ return protocol
+
+
+# ── flag validation ───────────────────────────────────────────
+
+
+def _validate_ceo_flags(
+ args: argparse.Namespace,
+) -> tuple[str, bool, bool, bool, str | None, str | None, str | None, str | None, bool, str | None, bool] | int:
+ """Validate and resolve top-level CLI flags. Returns parsed values or an error code."""
+ mode: str = getattr(args, "mode", "auto")
+ if mode == "interactive":
+ mode = "design"
+ if mode.startswith("project:"):
+ mode = mode[len("project:"):]
+ all_modes = get_all_ceo_modes()
+ if mode not in all_modes and mode != "auto":
+ from factory.workflow.registry import WorkflowRegistry
+ raw_path = getattr(args, "path", None)
+ project_path = Path(raw_path).resolve() if raw_path else Path.cwd()
+ entries = WorkflowRegistry.discover(project_path)
+ project_entries = {n for n, e in entries.items() if e.source == "project"}
+ if mode not in project_entries:
+ print(
+ f"Error: unknown mode '{mode}'. "
+ f"Not a built-in mode and not found in project workflows at "
+ f"{project_path / '.factory' / 'workflows'}.",
+ file=sys.stderr,
+ )
+ return 1
+ warn_deprecated_mode(getattr(args, "mode", "auto"))
+ bg: bool = getattr(args, "bg", False)
+ bg_agents = _resolve_bg_agents(args)
+ if bg and bg_agents:
+ print("Error: --bg and --bg-agents are mutually exclusive.", file=sys.stderr)
+ return 1
+ headless: bool = getattr(args, "headless", False) or bg
+ prompt_file: str | None = getattr(args, "prompt", None)
+ focus: str | None = getattr(args, "focus", None)
+ dir_name: str | None = getattr(args, "dir", None)
+ auto_approve: bool = getattr(args, "auto_approve", False)
+ from_plan: str | None = getattr(args, "from_plan", None)
+ just_plan: bool = getattr(args, "just_plan", False)
+
+ if auto_approve and mode != "design":
+ print("Error: --auto-approve only applies to --mode design", file=sys.stderr)
+ return 1
+
+ if just_plan:
+ if mode != "design":
+ print("Error: --just-plan requires --mode design", file=sys.stderr)
+ return 1
+ if from_plan:
+ print("Error: --just-plan and --from-plan are mutually exclusive.", file=sys.stderr)
+ return 1
+ if prompt_file:
+ print("Error: --just-plan and --prompt are mutually exclusive.", file=sys.stderr)
+ return 1
+
+ if from_plan:
+ if mode != "design":
+ print("Error: --from-plan requires --mode design", file=sys.stderr)
+ return 1
+ if focus:
+ print("Error: --from-plan and --focus are mutually exclusive.", file=sys.stderr)
+ return 1
+ if prompt_file:
+ print("Error: --from-plan and --prompt are mutually exclusive.", file=sys.stderr)
+ return 1
+
+ raw_path = getattr(args, "path", None)
+ if not raw_path:
+ from factory.plugins import get_registry
+ plugin_registry = get_registry()
+ has_pre_hooks = bool(plugin_registry.ceo_pre_hooks)
+ if not has_pre_hooks:
+ print(
+ "Error: provide a project path, GitHub URL, idea file, or prompt",
+ file=sys.stderr,
+ )
+ return 1
+
+ no_github = getattr(args, "no_github", False)
+ if no_github:
+ os.environ["FACTORY_NO_GITHUB"] = "1"
+ refine_request: str | None = getattr(args, "refine", None)
+
+ if refine_request:
+ if mode and mode != "auto":
+ print(f"Error: --refine and --mode {mode} are mutually exclusive.", file=sys.stderr)
+ return 1
+ if prompt_file:
+ print("Error: --refine and --prompt are mutually exclusive.", file=sys.stderr)
+ return 1
+ if focus:
+ print("Error: --refine and --focus are mutually exclusive.", file=sys.stderr)
+ return 1
+ if not raw_path or not Path(raw_path).expanduser().resolve().is_dir():
+ print(
+ "Error: --refine requires an existing project directory, not a URL or idea.",
+ file=sys.stderr,
+ )
+ return 1
+
+ _design_is_existing = (
+ mode == "design" and raw_path and _safe_is_dir(Path(raw_path).expanduser().resolve())
+ )
+
+ if mode == "design":
+ if auto_approve:
+ headless = True
+ elif headless:
+ flag = "--bg" if bg else "--headless"
+ print(
+ f"Error: --mode design requires foreground mode (incompatible with {flag})",
+ file=sys.stderr,
+ )
+ return 1
+ if prompt_file:
+ print(
+ "Error: --mode design and --prompt are mutually exclusive. "
+ "Design mode generates the spec; --prompt provides one.",
+ file=sys.stderr,
+ )
+ return 1
+ if focus and not _design_is_existing and not just_plan:
+ print(
+ "Error: --mode design and --focus are mutually exclusive "
+ "for new ideas. To discuss a topic on an existing project, "
+ 'pass the project path: factory ceo /path --mode design --focus "topic"',
+ file=sys.stderr,
+ )
+ return 1
+
+ if mode == "create":
+ if headless:
+ flag = "--bg" if bg else "--headless"
+ print(
+ f"Error: --mode create requires foreground mode (incompatible with {flag})",
+ file=sys.stderr,
+ )
+ return 1
+ if prompt_file:
+ print(
+ "Error: --mode create and --prompt are mutually exclusive. "
+ "Create mode generates the workflow from a description.",
+ file=sys.stderr,
+ )
+ return 1
+
+ if mode == "research" and prompt_file:
+ print(
+ "Error: --mode research and --prompt are mutually exclusive. "
+ "Research ideation generates the spec; --prompt provides one.",
+ file=sys.stderr,
+ )
+ return 1
+
+ return (mode, headless, bg, bg_agents, prompt_file, focus, dir_name, refine_request, auto_approve, from_plan, just_plan)
+
+
+# ── project resolution ────────────────────────────────────────
+
+
+def _resolve_ceo_project(
+ raw_path: str,
+ mode: str,
+ headless: bool,
+ bg: bool,
+ focus: str | None,
+ dir_name: str | None,
+ prompt_file: str | None,
+) -> (
+ tuple[Path, str | None, str | None, str | None, str | None, bool, bool, str | None, str | None]
+ | int
+):
+ """Resolve the project path and mode-specific context.
+
+ Returns (project_path, context, design_idea, research_ideation, deferred_spec,
+ needs_materialize, design_existing, create_description,
+ update_existing_mode) or error code.
+ """
+ create_description: str | None = None
+ update_existing_mode: str | None = None
+ design_idea: str | None = None
+ design_existing: bool = False
+ research_ideation: str | None = None
+ deferred_spec: str | None = None
+ needs_materialize = False
+ context: str | None = None
+
+ _design_is_existing = (
+ mode == "design" and raw_path and _safe_is_dir(Path(raw_path).expanduser().resolve())
+ )
+
+ if mode == "create":
+ resolved_path = Path(raw_path).expanduser().resolve()
+ if not _safe_is_dir(resolved_path):
+ print(
+ "Error: --mode create requires an existing project directory. "
+ "Pass the factory project path: factory ceo /path/to/factory --mode create",
+ file=sys.stderr,
+ )
+ return 1
+ project_path, context = _resolve_input(raw_path, dir_name=dir_name)
+ create_description = focus if focus else context
+ if create_description and ":" in create_description:
+ m = re.match(r"^([a-z_-]+):\s*(.+)$", create_description, re.DOTALL)
+ if m:
+ from factory.workflow.definitions import register_all
+
+ registered = register_all()
+ if m.group(1) in registered:
+ update_existing_mode = m.group(1)
+ create_description = m.group(2).strip()
+ elif mode == "design" and _design_is_existing:
+ project_path, context = _resolve_input(raw_path, dir_name=dir_name)
+ design_existing = True
+ elif mode == "design":
+ resolved_file = Path(raw_path).expanduser()
+ if _safe_is_file(resolved_file):
+ design_idea = resolved_file.read_text()
+ slug = (
+ _slugify(dir_name)
+ if dir_name
+ else _slugify(resolved_file.stem.split("—")[0].strip())
+ )
+ project_path = _dedupe_project_path(_get_projects_dir() / slug, design_idea)
+ deferred_spec = design_idea
+ needs_materialize = True
+ print(f"Idea file: {resolved_file.name}")
+ print(f"Project directory: {project_path}")
+ else:
+ design_idea = raw_path
+ slug = _slugify(dir_name) if dir_name else _extract_project_name(raw_path)
+ project_path = _dedupe_project_path(_get_projects_dir() / slug, raw_path)
+ deferred_spec = raw_path
+ needs_materialize = True
+ context = None
+ elif (
+ mode == "research"
+ and not _safe_is_dir(resolved := Path(raw_path).expanduser())
+ and not _safe_is_file(resolved)
+ ):
+ if headless:
+ flag = "--bg" if bg else "--headless"
+ print(
+ "Error: --mode research for new projects requires foreground mode "
+ f"(incompatible with {flag})",
+ file=sys.stderr,
+ )
+ return 1
+ if focus:
+ print(
+ "Error: --focus cannot be used with research ideation for new projects. "
+ "--focus targets existing backlog items.",
+ file=sys.stderr,
+ )
+ return 1
+ research_ideation = raw_path
+ slug = _slugify(dir_name) if dir_name else _extract_project_name(raw_path)
+ project_path = _dedupe_project_path(_get_projects_dir() / slug, raw_path)
+ needs_materialize = True
+ context = None
+ else:
+ project_path, context = _resolve_input(raw_path, dir_name=dir_name)
+ if context is not None and not (project_path / ".git").is_dir():
+ deferred_spec = context
+ needs_materialize = True
+
+ if prompt_file:
+ context = _read_prompt_file(project_path, prompt_file)
+
+ return (
+ project_path,
+ context,
+ design_idea,
+ research_ideation,
+ deferred_spec,
+ needs_materialize,
+ design_existing,
+ create_description,
+ update_existing_mode,
+ )
+
+
+# ── late validation ───────────────────────────────────────────
+
+
+def _validate_late_flags(
+ mode: str,
+ focus: str | None,
+ prompt_file: str | None,
+ research_ideation: str | None,
+ design_existing: bool,
+ project_path: Path,
+ no_github: bool,
+ issue_number: int | None,
+ just_plan: bool = False,
+) -> int | None:
+ """Run validations that depend on resolved project state. Returns error code or None."""
+ if mode == "research" and not research_ideation and not _has_research_target(project_path):
+ print(
+ "Error: --mode research requires research_target in factory.md. "
+ "Either configure research_target manually, or pass an idea string "
+ 'to start research ideation: factory ceo "your idea" --mode research',
+ file=sys.stderr,
+ )
+ return 1
+
+ if focus and prompt_file:
+ print(
+ "Error: --focus (targeted mode) and --prompt are mutually exclusive. "
+ "--focus builds one backlog item; --prompt executes a spec file.",
+ file=sys.stderr,
+ )
+ return 1
+
+ if focus and mode not in ("improve", "research", "create", "evolve", "study", "frontend-design", "frontend-design-discover") and not design_existing and not just_plan:
+ print(
+ f"Error: --focus (targeted mode) only works in improve, research, create, evolve, study, frontend-design, "
+ f"frontend-design-discover, or design (with --just-plan) mode, "
+ f"got '{mode}'. The project must already be built before targeting specific items.",
+ file=sys.stderr,
+ )
+ return 1
+
+ return None
+
+
+# ── execution ─────────────────────────────────────────────────
+
+
+def _execute_ceo(
+ *,
+ args: argparse.Namespace,
+ project_path: Path,
+ context: str | None,
+ mode: str,
+ banner_mode: str,
+ headless: bool,
+ bg: bool,
+ bg_agents: bool,
+ focus: str | None,
+ prompt_file: str | None,
+ design_idea: str | None,
+ design_existing: bool,
+ research_ideation: str | None,
+ create_description: str | None,
+ update_existing_mode: str | None,
+ plugin_mode: bool = False,
+ plugin_folder: str | None = None,
+ deferred_spec: str | None,
+ needs_materialize: bool,
+ refine_request: str | None,
+ issue_number: int | None,
+ issue_url: str | None,
+ issue_numbers: list[int] | None = None,
+ issue_urls: list[str] | None = None,
+ no_github: bool = False,
+ raw_path: str = "",
+ from_plan: str | None = None,
+ just_plan: bool = False,
+) -> int:
+ """Set up worktree, build task, and run the CEO agent."""
+ from factory.agents.runner import begin_cycle_session, complete_cycle_session, resolve_prompt, resolve_prompt_core
+ from factory.runners import get_runner
+ from factory.runners.claude import _make_ceo_message_emitter
+ from factory.worktree import create_worktree, prune_stale, remove_worktree
+
+ discover_only = getattr(args, "discover_only", False)
+ min_growth = getattr(args, "min_growth", None)
+ max_new = getattr(args, "max_new", None)
+ branch = getattr(args, "branch", None)
+ run_id = getattr(args, "run_id", None)
+ model = _resolve_model(args)
+ runner_name = _resolve_runner(args)
+ use_profile = getattr(args, "use_profile", False)
+ tmux_persist = _resolve_tmux_persist(args)
+ background = _resolve_background(args)
+ if bg_agents:
+ background = False
+ if background and tmux_persist:
+ print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
+ return 1
+ clean_pr_flag = getattr(args, "clean_pr", None)
+ no_worktree = getattr(args, "no_worktree", False)
+
+ _print_banner(banner_mode)
+ _ensure_dashboard(project_path)
+
+ if needs_materialize:
+ _materialize_project(project_path, deferred_spec)
+
+ pruned = prune_stale(project_path)
+ if pruned:
+ print(f" Cleaned {len(pruned)} stale worktree(s)", file=sys.stderr)
+
+ if focus:
+ from factory.study import add_backlog_item
+
+ add_backlog_item(project_path, focus)
+
+ from factory.messages import mark_read, read_pending
+
+ pending = read_pending(project_path)
+ pending_ids = [m.id for m in pending]
+
+ base_branch = branch or _read_target_branch(project_path)
+ if no_worktree:
+ wt_path = project_path
+ wt_branch = None
+ else:
+ wt_path, wt_branch = create_worktree(project_path, base_branch, run_id=run_id)
+
+ auto_approve = getattr(args, "auto_approve", False)
+ if auto_approve:
+ _emit_cli_event(wt_path, "auto_approve.enabled", {"mode": mode})
+
+ resolved_plan: PlanSource | None = None
+ if from_plan:
+ resolved_plan = _resolve_plan_source(from_plan, project_path)
+ strategy_dir = wt_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "current.md").write_text(resolved_plan.plan)
+ if resolved_plan.feedback:
+ feedback_text = "\n\n---\n\n".join(resolved_plan.feedback)
+ (strategy_dir / "thread-feedback.md").write_text(feedback_text)
+
+ engine = getattr(args, "engine", "skill")
+
+ if engine != "tool":
+ from factory.skill_cache import ensure_skills
+
+ ensure_skills(wt_path, mode=mode)
+
+ from factory.graph import extract_graph, is_graphify_installed
+
+ if is_graphify_installed():
+ extract_graph(wt_path)
+
+ overwrite = getattr(args, "overwrite", None)
+ if overwrite and mode and mode != "auto":
+ from factory.workflow.definitions import register_all
+ from factory.workflow.overwrite import apply_overwrite, generate_session_skill
+
+ workflows = register_all()
+ if mode in workflows:
+ mutated = apply_overwrite(workflows[mode], overwrite, wt_path)
+ generate_session_skill(mutated, mode, wt_path)
+ else:
+ log.warning("overwrite.mode_not_found", mode=mode)
+
+ verification_settings = wt_path / ".factory" / "hooks" / f"settings-{mode}.json"
+ _verification_settings_file = (
+ str(verification_settings) if verification_settings.exists() else None
+ )
+
+ interactive = (
+ design_existing or bool(design_idea) or bool(research_ideation) or mode == "create"
+ )
+ if mode == "create":
+ ceo_mode = "create"
+ elif mode == "design":
+ ceo_mode = "design"
+ elif interactive:
+ ceo_mode = "build"
+ else:
+ ceo_mode = mode
+
+ headless_prompt_override: str | None = None
+ if engine == "tool" and headless:
+ base = resolve_prompt("ceo", wt_path, use_profile=use_profile, workflow_mode=None)
+ headless_prompt_override = base + _tool_exec_protocol(wt_path)
+
+ if engine == "deterministic":
+ if not headless:
+ print(
+ "WARNING: --engine deterministic runs headless (no interactive CEO). "
+ "Adding --headless implicitly.",
+ file=sys.stderr,
+ )
+ headless = True
+
+ if engine == "tool":
+ from factory.workflow.tool import tool_init as _tool_init
+
+ try:
+ _tool_init(ceo_mode, wt_path)
+ except Exception as e:
+ log.warning("tool_exec.init_failed", error=str(e), mode=ceo_mode)
+ engine = "skill"
+
+ if clean_pr_flag is not None:
+ clean_pr_resolved = clean_pr_flag
+ else:
+ config_path = project_path / ".factory" / "config.json"
+ if config_path.exists():
+ try:
+ _cfg = json.loads(config_path.read_text())
+ clean_pr_resolved = bool(_cfg.get("clean_pr", False))
+ except (json.JSONDecodeError, OSError):
+ clean_pr_resolved = False
+ else:
+ clean_pr_resolved = False
+
+ task = _build_ceo_task(
+ wt_path,
+ ceo_mode,
+ context,
+ focus=focus,
+ prompt_file=prompt_file,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=base_branch,
+ discover_only=discover_only,
+ no_github=no_github,
+ design_idea=design_idea,
+ design_existing=design_existing,
+ research_ideation=research_ideation,
+ messages=pending,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ refine_request=refine_request,
+ clean_pr=clean_pr_resolved,
+ display_mode=banner_mode,
+ create_description=create_description,
+ update_existing_mode=update_existing_mode,
+ plugin_mode=plugin_mode,
+ plugin_folder=plugin_folder,
+ from_plan=resolved_plan.plan if resolved_plan else None,
+ from_plan_feedback=resolved_plan.feedback if resolved_plan else None,
+ just_plan=just_plan,
+ )
+
+ session_name = _derive_session_name(
+ focus=focus,
+ design_idea=design_idea,
+ research_ideation=research_ideation,
+ raw_path=raw_path,
+ project_path=project_path,
+ mode=banner_mode,
+ )
+
+ if bg_agents:
+ os.environ["FACTORY_BG"] = "1"
+
+ cycle_span_id = begin_cycle_session(project_path, cycle_id=mode, model=model)
+ _ceo_start = time.time()
+
+ ceo_tailer = _start_ceo_tailer(
+ wt_path,
+ cycle_span_id,
+ _ceo_start,
+ on_line=_make_ceo_message_emitter(wt_path),
+ is_headless=headless,
+ )
+
+ import uuid as _uuid
+
+ from factory.ceo_completion import write_ceo_session_id
+
+ ceo_session_id = str(_uuid.uuid4())
+ write_ceo_session_id(wt_path, ceo_session_id, interactive=interactive, mode=mode)
+
+ if headless:
+ return _run_headless(
+ wt_path=wt_path,
+ project_path=project_path,
+ task=task,
+ mode=mode,
+ runner_name=runner_name,
+ model=model,
+ session_name=session_name,
+ ceo_session_id=ceo_session_id,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ ceo_tailer=ceo_tailer,
+ cycle_span_id=cycle_span_id,
+ pending_ids=pending_ids,
+ focus=focus,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=branch,
+ discover_only=discover_only,
+ no_github=no_github,
+ needs_materialize=needs_materialize,
+ wt_branch=wt_branch,
+ no_worktree=no_worktree,
+ ceo_mode=ceo_mode,
+ verification_settings_file=_verification_settings_file,
+ just_plan=just_plan,
+ engine=engine,
+ prompt_override=headless_prompt_override,
+ )
+
+ try:
+ if pending_ids:
+ print(
+ f"Consuming {len(pending_ids)} message(s): {', '.join(pending_ids)}",
+ file=sys.stderr,
+ )
+ mark_read(project_path, pending_ids)
+ from factory.models import AgentRunRequest as _RunReq
+
+ if engine == "tool":
+ base_prompt = resolve_prompt(
+ "ceo", wt_path, use_profile=use_profile, workflow_mode=None,
+ )
+ prompt = base_prompt + _tool_exec_protocol(wt_path)
+ else:
+ prompt = resolve_prompt(
+ "ceo", wt_path, use_profile=use_profile, workflow_mode=ceo_mode,
+ )
+ runner = get_runner(runner_name)
+ extras: dict[str, object] = {}
+ if _verification_settings_file:
+ extras["settings_file"] = _verification_settings_file
+ prompt_core = resolve_prompt_core()
+ return runner.interactive_run(
+ _RunReq(
+ prompt=prompt,
+ prompt_core=prompt_core,
+ task=task,
+ cwd=wt_path,
+ model=model,
+ role="ceo",
+ skip_permissions=True,
+ session_name=session_name,
+ session_id=ceo_session_id,
+ extras=extras,
+ )
+ )
+ finally:
+ if engine == "tool":
+ try:
+ from factory.workflow.tool import tool_finalize
+ finalize_result = tool_finalize(wt_path)
+ log.info("tool_exec.finalized", result=finalize_result)
+ except Exception:
+ pass
+ _stop_ceo_tailer(ceo_tailer)
+ complete_cycle_session(project_path, cycle_span_id)
+ from factory.ceo_completion import print_resume_hint
+
+ print_resume_hint(project_path)
+ if not no_worktree:
+ assert wt_branch is not None
+ remove_worktree(project_path, wt_path, wt_branch)
+ if needs_materialize and _is_scaffold_only(project_path):
+ import shutil
+
+ shutil.rmtree(project_path, ignore_errors=True)
+
+
+def _run_headless(
+ *,
+ wt_path: Path,
+ project_path: Path,
+ task: str,
+ mode: str,
+ runner_name: str | None,
+ model: str | None,
+ session_name: str,
+ ceo_session_id: str,
+ use_profile: bool,
+ tmux_persist: bool,
+ background: bool,
+ ceo_tailer: object,
+ cycle_span_id: str | None,
+ pending_ids: list[str],
+ focus: str | None,
+ min_growth: int | None,
+ max_new: int | None,
+ branch: str | None,
+ discover_only: bool,
+ no_github: bool,
+ needs_materialize: bool,
+ wt_branch: str | None,
+ no_worktree: bool,
+ ceo_mode: str,
+ verification_settings_file: str | None,
+ just_plan: bool = False,
+ engine: str = "skill",
+ prompt_override: str | None = None,
+) -> int:
+ """Run the CEO in headless mode with completion guard."""
+ from factory.ceo_completion import run_ceo_with_completion_guard
+ from factory.messages import mark_read
+ from factory.agents.runner import complete_cycle_session
+ from factory.worktree import remove_worktree
+
+ if engine == "deterministic":
+ import asyncio
+ from factory.workflow.executor import WorkflowExecutor
+ from factory.workflow.registry import WorkflowRegistry
+ from factory.workflow.primitives import DEFAULT_AGENT_POOL
+
+ wf = WorkflowRegistry.get_workflow(ceo_mode, wt_path)
+ if not wf:
+ print(f'Error: workflow "{ceo_mode}" not found', file=sys.stderr)
+ _stop_ceo_tailer(ceo_tailer)
+ complete_cycle_session(project_path, cycle_span_id)
+ return 1
+
+ executor = WorkflowExecutor(wf, wt_path, agent_pool=DEFAULT_AGENT_POOL)
+ try:
+ exec_result = asyncio.run(executor.execute())
+ print(json.dumps({
+ "workflow": ceo_mode,
+ "engine": "deterministic",
+ "success": exec_result.success,
+ "nodes_executed": exec_result.nodes_executed,
+ "duration_ms": round(exec_result.duration_ms, 1),
+ }, indent=2))
+ code = 0 if exec_result.success else 1
+ if code != 0:
+ return code
+ return _chain_modes(
+ project_path,
+ focus=focus,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=branch,
+ already_improved=mode in ("improve", "meta") or discover_only,
+ model=model,
+ no_github=no_github,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ completed_mode=mode,
+ no_worktree=no_worktree,
+ )
+ finally:
+ _stop_ceo_tailer(ceo_tailer)
+ complete_cycle_session(project_path, cycle_span_id)
+ from factory.ceo_completion import print_resume_hint
+
+ print_resume_hint(project_path)
+ if not no_worktree and wt_branch:
+ remove_worktree(project_path, wt_path, wt_branch)
+ if needs_materialize and _is_scaffold_only(project_path):
+ import shutil
+
+ shutil.rmtree(project_path, ignore_errors=True)
+
+ try:
+ result, code = _run(
+ run_ceo_with_completion_guard(
+ wt_path,
+ task,
+ mode=mode,
+ runner_name=runner_name,
+ model=model,
+ timeout=7200.0,
+ session_name=session_name,
+ session_id=ceo_session_id,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ workflow_mode=ceo_mode,
+ settings_file=verification_settings_file,
+ prompt_override=prompt_override,
+ )
+ )
+ print(result)
+ if code == 0 and pending_ids:
+ mark_read(project_path, pending_ids)
+ if code != 0:
+ return code
+ chain_mode = "plan" if just_plan else mode
+ return _chain_modes(
+ project_path,
+ focus=focus,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=branch,
+ already_improved=mode in ("improve", "meta") or discover_only,
+ model=model,
+ no_github=no_github,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ completed_mode=chain_mode,
+ no_worktree=no_worktree,
+ )
+ finally:
+ if engine == "tool":
+ try:
+ from factory.workflow.tool import tool_finalize
+ tool_finalize(wt_path)
+ except Exception:
+ pass
+ _stop_ceo_tailer(ceo_tailer)
+ complete_cycle_session(project_path, cycle_span_id)
+ from factory.ceo_completion import print_resume_hint
+
+ print_resume_hint(project_path)
+ if not no_worktree:
+ assert wt_branch is not None
+ remove_worktree(project_path, wt_path, wt_branch)
+ if needs_materialize and _is_scaffold_only(project_path):
+ import shutil
+
+ shutil.rmtree(project_path, ignore_errors=True)
diff --git a/factory/cli/_helpers.py b/factory/cli/_helpers.py
new file mode 100644
index 000000000..536673a25
--- /dev/null
+++ b/factory/cli/_helpers.py
@@ -0,0 +1,309 @@
+"""CLI _helpers commands."""
+
+from __future__ import annotations
+
+import argparse
+import asyncio
+import json
+import os
+import subprocess
+import structlog
+import sys
+import threading
+from pathlib import Path
+
+log = structlog.get_logger()
+
+_WIZARD_INPUT_PATH = Path("~/.factory/wizard_input.md")
+
+
+CEO_MODES = [
+ "auto",
+ "auto-fresh",
+ "build",
+ "discover",
+ "founder",
+ "improve",
+ "meta",
+ "design",
+ "interactive",
+ "parallel-improve",
+ "research",
+ "review",
+ "deep-qa",
+ "create",
+ "study",
+ "swebench",
+ "frontend-design",
+ "frontend-design-discover",
+ "frontend-design-scan",
+ "evolve",
+ "deep-research",
+ "outer-loop",
+]
+
+
+RUN_MODES = [
+ "auto",
+ "auto-fresh",
+ "build",
+ "discover",
+ "founder",
+ "improve",
+ "meta",
+ "parallel-improve",
+ "research",
+ "study",
+ "swebench",
+ "frontend-design-scan",
+]
+
+
+def get_all_ceo_modes() -> list[str]:
+ """Return CEO_MODES plus any modes registered by plugins."""
+ from factory.plugins import get_registry
+
+ registry = get_registry()
+ return CEO_MODES + [m for m in registry.modes if m not in CEO_MODES]
+
+
+DEPRECATED_MODES: frozenset[str] = frozenset(
+ {
+ "build",
+ "improve",
+ "research",
+ "meta",
+ "discover",
+ "review",
+ "refine",
+ "parallel-improve",
+ "interactive",
+ }
+)
+
+
+def warn_deprecated_mode(mode: str) -> None:
+ """Emit a deprecation warning if *mode* is in the deprecated set."""
+ if mode not in DEPRECATED_MODES:
+ return
+ replacement = "design"
+ extra = ""
+ if mode == "interactive":
+ extra = " ('interactive' is an alias for 'design')"
+ log.warning("deprecated_cli_mode", mode=mode, replacement=replacement)
+ print(
+ f"WARNING: --mode {mode} is deprecated{extra}. "
+ f"Use --mode {replacement} instead. "
+ f"This mode remains functional but will be removed in a future release.",
+ file=sys.stderr,
+ )
+
+
+def _run(coro):
+ """Run an async coroutine synchronously."""
+ return asyncio.run(coro)
+
+
+def _detect_pr_number(project_path: Path) -> int | None:
+ try:
+ result = subprocess.run(
+ ["gh", "pr", "view", "--json", "number", "-q", ".number"],
+ capture_output=True,
+ timeout=10,
+ cwd=project_path,
+ )
+ if result.returncode == 0:
+ return int(result.stdout.decode().strip())
+ except (subprocess.TimeoutExpired, FileNotFoundError, ValueError, OSError):
+ pass
+ return None
+
+
+def _read_target_branch(project_path: Path) -> str:
+ """Read target branch from .factory/config.json, falling back to git detection."""
+ config_path = project_path / ".factory" / "config.json"
+ if config_path.exists():
+ try:
+ config = json.loads(config_path.read_text())
+ tb = config.get("target_branch")
+ if tb:
+ return tb
+ except (json.JSONDecodeError, OSError):
+ pass
+ from factory.worktree import detect_default_branch
+
+ return detect_default_branch(project_path)
+
+
+# ── banner ────────────────────────────────────────────────────
+
+
+_DASHBOARD_PORT = 8420
+
+
+def _dashboard_is_running(port: int = _DASHBOARD_PORT) -> bool:
+ """Check if the dashboard is already listening on the given port."""
+ import socket
+
+ with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+ s.settimeout(0.5)
+ return s.connect_ex(("127.0.0.1", port)) == 0
+
+
+def _ensure_dashboard(project_path: Path, port: int = _DASHBOARD_PORT) -> None:
+ """Start the dashboard in the background if it's not already running.
+
+ Prints the dashboard URL to stderr either way.
+ """
+ url = f"http://localhost:{port}"
+
+ if _dashboard_is_running(port):
+ print(f" Dashboard: {url} (running)", file=sys.stderr)
+ return
+
+ # Determine projects directory (parent of the project)
+ projects_dir = project_path.parent
+
+ # Start dashboard as a detached background process
+ cmd = [
+ sys.executable,
+ "-m",
+ "factory",
+ "dashboard",
+ "--projects-dir",
+ str(projects_dir),
+ "--port",
+ str(port),
+ "--host",
+ "0.0.0.0",
+ ]
+ subprocess.Popen(
+ cmd,
+ stdout=subprocess.DEVNULL,
+ stderr=subprocess.DEVNULL,
+ start_new_session=True, # detach from parent process
+ )
+ print(f" Dashboard: {url} (started)", file=sys.stderr)
+
+
+def _print_banner(mode: str = "improve") -> None:
+ """Print the Factory startup banner to stderr."""
+ if os.environ.get("NO_COLOR") or not sys.stderr.isatty():
+ if mode == "welcome":
+ print("The Factory — Self-Evolving Meta-Harness", file=sys.stderr)
+ else:
+ print(f"Factory v2 — mode: {mode}", file=sys.stderr)
+ if mode == "founder":
+ print(
+ "WARNING: Founder mode — prototype only, not for production use.", file=sys.stderr
+ )
+ return
+
+ c = "\033[1;36m" # bold cyan
+ d = "\033[2m" # dim
+ r = "\033[0m" # reset
+
+ mode_line = "" if mode == "welcome" else f"{d} Mode: {mode}{r}\n"
+ y = "\033[1;33m" # bold yellow
+ founder_warn = (
+ (
+ f"{y} ⚠ PROTOTYPE ONLY — not for production use.{r}\n"
+ f"{y} ⚠ Run --mode improve afterward to harden.{r}\n"
+ )
+ if mode == "founder"
+ else ""
+ )
+ banner = (
+ f"\n{c} ┏━╸┏━┓┏━╸╺┳╸┏━┓┏━┓╻ ╻{r}\n"
+ f"{c} ┣╸ ┣━┫┃ ┃ ┃ ┃┣┳┛┗┳┛{r}\n"
+ f"{c} ╹ ╹ ╹┗━╸ ╹ ┗━┛╹┗╸ ╹ {r}\n"
+ f"{d} Self-Evolving Meta-Harness{r}\n"
+ f"{mode_line}"
+ f"{founder_warn}"
+ )
+ print(banner, file=sys.stderr)
+
+
+# ── welcome wizard ─────────────────────────────────────────────
+
+
+_BRAILLE_FRAMES = ["⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"]
+
+
+def _show_spinner(stop_event: threading.Event) -> None:
+ """Braille spinner on stderr. Respects NO_COLOR."""
+ if not sys.stderr.isatty():
+ return
+ use_color = not os.environ.get("NO_COLOR") and sys.stderr.isatty()
+ idx = 0
+ while not stop_event.is_set():
+ frame = _BRAILLE_FRAMES[idx % len(_BRAILLE_FRAMES)]
+ if use_color:
+ sys.stderr.write(f"\r\033[2m Thinking... {frame}\033[0m")
+ else:
+ sys.stderr.write(f"\r Thinking... {frame}")
+ sys.stderr.flush()
+ idx += 1
+ stop_event.wait(0.1)
+ if use_color:
+ sys.stderr.write("\r\033[2K")
+ else:
+ sys.stderr.write("\r" + " " * 30 + "\r")
+ sys.stderr.flush()
+
+
+def _is_github_url(path: str) -> bool:
+ """Return True if path looks like a GitHub URL."""
+ return path.startswith("https://github.com/") or path.startswith("git@github.com:")
+
+
+def _resolve_runner(args: "argparse.Namespace") -> str | None:
+ """Resolve runner: CLI flag > FACTORY_RUNNER env var > None (default to 'claude').
+
+ Returns None to let get_runner() handle the default.
+ """
+ flag = (getattr(args, "runner", None) or "").strip()
+ if flag:
+ return flag
+ return None
+
+
+def _safe_is_dir(p: Path) -> bool:
+ try:
+ return p.is_dir()
+ except (OSError, ValueError):
+ return False
+
+
+def _safe_is_file(p: Path) -> bool:
+ try:
+ return p.is_file()
+ except (OSError, ValueError):
+ return False
+
+
+def _emit_cli_event(project_path: Path, event_type: str, data: dict) -> None:
+ """Emit a factory event, swallowing errors."""
+ try:
+ from factory.events import emit_event
+
+ emit_event(project_path, event_type, data=data)
+ except Exception:
+ pass
+
+
+# ── parser construction ────────────────────────────────────────
+
+
+def _load_env_local() -> None:
+ """Auto-load .env.local if present, exporting vars into os.environ."""
+ for candidate in [Path(".env.local"), Path.home() / "remote-factory" / ".env.local"]:
+ if candidate.exists():
+ for line in candidate.read_text().splitlines():
+ line = line.strip()
+ if not line or line.startswith("#"):
+ continue
+ if "=" in line:
+ key, _, value = line.partition("=")
+ os.environ.setdefault(key.strip(), value.strip())
+ break
diff --git a/factory/cli/_main.py b/factory/cli/_main.py
new file mode 100644
index 000000000..44a2f2b8e
--- /dev/null
+++ b/factory/cli/_main.py
@@ -0,0 +1,467 @@
+"""CLI parser construction and main dispatch."""
+
+from __future__ import annotations
+
+import argparse
+import sys
+
+from factory.cli._helpers import _load_env_local
+
+
+_REFACTORY_AGENT_COMMANDS: frozenset[str] = frozenset(
+ {
+ "ceo",
+ "run",
+ "tmux",
+ "tmux-ls",
+ "tmux-stop",
+ "tmux-capture",
+ "discover",
+ "init",
+ "detect",
+ "eval",
+ "history",
+ "study",
+ "status",
+ "backlog-list",
+ "backlog-add",
+ "checkpoint",
+ "resume",
+ "ace",
+ "ace-stats",
+ }
+)
+
+
+_COMMAND_GROUPS: list[tuple[str, list[str]]] = [
+ (
+ "Entry Points",
+ [
+ "ceo",
+ "run",
+ "tmux",
+ "tmux-ls",
+ "tmux-capture",
+ "tmux-stop",
+ "refactory",
+ "contained",
+ "dashboard",
+ "agent",
+ ],
+ ),
+ ("Project Setup", ["home", "detect", "discover", "init"]),
+ (
+ "Experiment Lifecycle",
+ [
+ "begin",
+ "finalize",
+ "guard",
+ "precheck",
+ "log",
+ "emit",
+ "review",
+ ],
+ ),
+ (
+ "Project Intelligence",
+ [
+ "eval",
+ "history",
+ "study",
+ "status",
+ "summary",
+ "diff",
+ "explain",
+ "export",
+ "research",
+ "insights",
+ "report-update",
+ "baseline",
+ "clean-pr",
+ "spec",
+ "adversarial-state",
+ ],
+ ),
+ (
+ "Backlog & Refinement",
+ [
+ "backlog-add",
+ "backlog-list",
+ "backlog-remove",
+ "deferred-list",
+ "deferred-remove",
+ "refine-status",
+ "refine-begin",
+ "refine-complete",
+ "message",
+ ],
+ ),
+ (
+ "Knowledge & Archive",
+ [
+ "archive",
+ "vault-init",
+ "backfill-citations",
+ "backfill-archive",
+ ],
+ ),
+ ("Self-Evolution", ["ace", "ace-stats", "digest", "workflow", "graph", "mempalace", "outer-loop"]),
+ (
+ "Configuration",
+ [
+ "config",
+ "profile",
+ "install",
+ "self-update",
+ "runners",
+ "plugins",
+ "usage",
+ "serve-mcp",
+ ],
+ ),
+ (
+ "Validation & Recovery",
+ [
+ "leakage-check",
+ "validate-research",
+ "checkpoint",
+ "resume",
+ "notify",
+ "registry-list",
+ ],
+ ),
+]
+
+
+class _GroupedHelpParser(argparse.ArgumentParser):
+ """ArgumentParser that renders subcommands in labelled groups."""
+
+ def format_help(self) -> str:
+ if self._subparsers is None:
+ return super().format_help()
+
+ sub_action: argparse._SubParsersAction | None = None # type: ignore[type-arg]
+ for action in self._subparsers._group_actions:
+ if isinstance(action, argparse._SubParsersAction):
+ sub_action = action
+ break
+
+ if sub_action is None:
+ return super().format_help()
+
+ parts = [f"usage: {self.prog} [-h] <command> ...\n"]
+ if self.description:
+ parts.append(f"{self.description}\n")
+
+ help_map: dict[str, str] = {}
+ for sub_act in sub_action._choices_actions:
+ help_map[sub_act.dest] = sub_act.help or ""
+
+ refactory_filter = "--refactory-agent" in sys.argv
+
+ grouped_cmds: set[str] = set()
+ for group_name, cmds in _COMMAND_GROUPS:
+ lines = []
+ for cmd in cmds:
+ if cmd in sub_action._name_parser_map and cmd in help_map:
+ if refactory_filter and cmd not in _REFACTORY_AGENT_COMMANDS:
+ continue
+ lines.append(f" {cmd:25s}{help_map[cmd]}")
+ grouped_cmds.add(cmd)
+ if lines:
+ parts.append(f"\n{group_name}:\n" + "\n".join(lines))
+
+ if not refactory_filter:
+ ungrouped = [
+ c for c in help_map if c not in grouped_cmds and c in sub_action._name_parser_map
+ ]
+ if ungrouped:
+ lines = [f" {cmd:25s}{help_map[cmd]}" for cmd in ungrouped]
+ parts.append("\nOther:\n" + "\n".join(lines))
+
+ parts.append("")
+ return "\n".join(parts)
+
+
+def _cmd_plugins(args: argparse.Namespace) -> int:
+ """List discovered plugins and their registered extensions."""
+ import dataclasses
+ import json
+
+ from factory.plugins import get_registry, get_results
+
+ results = get_results()
+ registry = get_registry()
+
+ if getattr(args, "json", False) if hasattr(args, "json") else False:
+ data = [dataclasses.asdict(r) for r in results]
+ print(json.dumps(data, indent=2))
+ return 0
+
+ if not results:
+ print("No plugins discovered.")
+ return 0
+
+ for r in results:
+ ver = f" v{r.version}" if r.version else ""
+ line = f" {r.name}{ver}: {r.status}"
+ if r.reason:
+ line += f" ({r.reason})"
+ print(line)
+
+ if registry.commands:
+ print(f"\nRegistered commands: {', '.join(sorted(registry.commands))}")
+ if registry.modes:
+ print(f"Registered modes: {', '.join(registry.modes)}")
+ if registry.agent_roles:
+ print(f"Registered agent roles: {', '.join(registry.agent_roles)}")
+
+ return 0
+
+
+def build_parser() -> argparse.ArgumentParser:
+ from factory.cli._parser_groups import (
+ add_archive_parsers,
+ add_backlog_refinement_parsers,
+ add_configuration_parsers,
+ add_entry_point_parsers,
+ add_experiment_lifecycle_parsers,
+ add_project_intelligence_parsers,
+ add_project_setup_parsers,
+ add_self_evolution_parsers,
+ add_validation_recovery_parsers,
+ )
+
+ from importlib.metadata import version as pkg_version
+
+ parser = _GroupedHelpParser(
+ prog="factory",
+ description="Remote Factory — domain-agnostic multi-agent software evolution loop",
+ )
+ parser.add_argument(
+ "--version",
+ action="version",
+ version=f"remote-factory {pkg_version('remote-factory')}",
+ )
+ parser.add_argument(
+ "--refactory-agent",
+ action="store_true",
+ help="Show only commands used by the re:factory agent",
+ )
+ sub = parser.add_subparsers(dest="command")
+
+ add_project_setup_parsers(sub)
+ add_experiment_lifecycle_parsers(sub)
+ add_project_intelligence_parsers(sub)
+ add_backlog_refinement_parsers(sub)
+ add_archive_parsers(sub)
+ add_self_evolution_parsers(sub)
+ add_configuration_parsers(sub)
+ add_validation_recovery_parsers(sub)
+ add_entry_point_parsers(sub)
+
+ # ── plugin commands ──────────────────────────────────────────
+ p_plugins = sub.add_parser("plugins", help="List discovered plugins and their extensions")
+ p_plugins.add_argument("--json", action="store_true", default=False, help="Machine-readable JSON output")
+
+ from factory.plugins import PluginRegistry, load_plugins
+
+ _plugin_registry = PluginRegistry()
+ load_plugins(_plugin_registry)
+
+ for cmd_name, spec in _plugin_registry.commands.items():
+ p_plugin = sub.add_parser(cmd_name, help=spec.help)
+ if spec.add_arguments is not None:
+ spec.add_arguments(p_plugin)
+ p_plugin.set_defaults(_plugin_handler=spec.handler)
+
+ # ── plugin parser extensions ────────────────────────────────
+ sub_action: argparse._SubParsersAction | None = None # type: ignore[type-arg]
+ if parser._subparsers is not None:
+ for action in parser._subparsers._group_actions:
+ if isinstance(action, argparse._SubParsersAction):
+ sub_action = action
+ break
+
+ if sub_action is not None:
+ import structlog as _structlog
+
+ _ext_log = _structlog.get_logger()
+ for ext_name, ext_fns in _plugin_registry.parser_extensions.items():
+ ext_parser = sub_action._name_parser_map.get(ext_name)
+ if ext_parser is None:
+ _ext_log.warning("plugin_parser_extension_no_target", subcommand=ext_name)
+ continue
+ for ext_fn in ext_fns:
+ ext_fn(ext_parser)
+
+ # graph — code knowledge graph operations
+ graph_parser = sub.add_parser("graph", help="Code knowledge graph via graphify")
+ graph_sub = graph_parser.add_subparsers(dest="graph_command")
+ p_graph_extract = graph_sub.add_parser("extract", help="Extract a code knowledge graph")
+ p_graph_extract.add_argument("path", help="Path to the project")
+ p_graph_update = graph_sub.add_parser("update", help="Incrementally update the knowledge graph")
+ p_graph_update.add_argument("path", help="Path to the project")
+ p_graph_status = graph_sub.add_parser("status", help="Show graph freshness and stats")
+ p_graph_status.add_argument("path", help="Path to the project")
+ p_graph_query = graph_sub.add_parser("query", help="BFS traversal of the knowledge graph")
+ p_graph_query.add_argument("path", help="Path to the project")
+ p_graph_query.add_argument("question", help="Natural-language query for graph traversal")
+ p_graph_query.add_argument("--depth", type=int, default=2, help="BFS depth (default: 2)")
+ p_graph_explain = graph_sub.add_parser("explain", help="Explain a node and its neighbors")
+ p_graph_explain.add_argument("path", help="Path to the project")
+ p_graph_explain.add_argument("node", help="Node name or label to explain")
+ p_graph_path = graph_sub.add_parser("path", help="Shortest path between two nodes")
+ p_graph_path.add_argument("path", help="Path to the project")
+ p_graph_path.add_argument("source", help="Source node name")
+ p_graph_path.add_argument("target", help="Target node name")
+
+ # mempalace — MemPalace operations (read, write, browse)
+ mp = sub.add_parser("mempalace", help="MemPalace operations (read, write, browse)")
+ mp_sub = mp.add_subparsers(dest="mempalace_action", required=True)
+
+ mp_read = mp_sub.add_parser("read", help="Read MemPalace context for a project")
+ mp_read.add_argument("project_path", help="Path to the project")
+ mp_read.add_argument("--task-hint", help="Task context for targeted retrieval")
+
+ mp_write = mp_sub.add_parser("write", help="Write project data to MemPalace")
+ mp_write.add_argument("project_path", help="Path to the project")
+
+ mp_browse = mp_sub.add_parser("browse", help="Browse palace hierarchy: wings → rooms → drawers")
+ mp_browse.add_argument("project_path", help="Path to the project")
+ mp_browse.add_argument("--wing", help="Filter to a specific wing")
+ mp_browse.add_argument("--room", help="Filter to a specific room (requires --wing)")
+ mp_browse.add_argument("--drawer", help="Show full content of a specific drawer by ID")
+ mp_browse.add_argument("--all", action="store_true", help="Show all wings (default: only this project's wing)")
+
+ # outer-loop — evolutionary workflow search
+ from factory.cli.outer_loop import add_outer_loop_parser
+ add_outer_loop_parser(sub)
+
+ return parser
+
+
+def main(argv: list[str] | None = None) -> int:
+ _load_env_local()
+ parser = build_parser()
+ args = parser.parse_args(argv)
+
+ import factory.cli as _cli
+
+ if not args.command:
+ if sys.stdin.isatty() and sys.stderr.isatty():
+ return _cli.cmd_refactory(args)
+ parser.print_help()
+ return 1
+
+ handlers = {
+ "home": _cli.cmd_home,
+ "detect": _cli.cmd_detect,
+ "discover": _cli.cmd_discover,
+ "init": _cli.cmd_init,
+ "eval": _cli.cmd_eval,
+ "guard": _cli.cmd_guard,
+ "begin": _cli.cmd_begin,
+ "finalize": _cli.cmd_finalize,
+ "history": _cli.cmd_history,
+ "notify": _cli.cmd_notify,
+ "study": _cli.cmd_study,
+ "backlog-remove": _cli.cmd_backlog_remove,
+ "deferred-remove": _cli.cmd_backlog_remove,
+ "backlog-list": _cli.cmd_backlog_list,
+ "deferred-list": _cli.cmd_backlog_list,
+ "backlog-add": _cli.cmd_backlog_add,
+ "status": _cli.cmd_status,
+ "summary": _cli.cmd_summary,
+ "research": _cli.cmd_research,
+ "backfill-citations": _cli.cmd_backfill_citations,
+ "backfill-archive": _cli.cmd_backfill_archive,
+ "diff": _cli.cmd_diff,
+ "explain": _cli.cmd_explain,
+ "export": _cli.cmd_export,
+ "insights": _cli.cmd_insights,
+ "report-update": _cli.cmd_report_update,
+ "registry-list": _cli.cmd_registry_list,
+ "ace": _cli.cmd_ace,
+ "ace-stats": _cli.cmd_ace_stats,
+ "digest": _cli.cmd_digest,
+ "archive": _cli.cmd_archive,
+ "precheck": _cli.cmd_precheck,
+ "clean-pr": _cli.cmd_clean_pr,
+ "baseline": _cli.cmd_baseline,
+ "leakage-check": _cli.cmd_leakage_check,
+ "validate-research": _cli.cmd_validate_research,
+ "adversarial-state": _cli.cmd_adversarial_state,
+ "refine-status": _cli.cmd_refine_status,
+ "refine-begin": _cli.cmd_refine_begin,
+ "refine-complete": _cli.cmd_refine_complete,
+ "review": _cli.cmd_review,
+ "checkpoint": _cli.cmd_checkpoint,
+ "resume": _cli.cmd_resume,
+ "log": _cli.cmd_log,
+ "vault-init": _cli.cmd_vault_init,
+ "message": _cli.cmd_message,
+ "self-update": _cli.cmd_self_update,
+ "install": _cli.cmd_install,
+ "serve-mcp": _cli.cmd_serve_mcp,
+ "dashboard": _cli.cmd_dashboard,
+ "config": _cli.cmd_config,
+ "profile": _cli.cmd_profile,
+ "emit": _cli.cmd_emit,
+ "usage": _cli.cmd_usage,
+ "runners": _cli.cmd_runners_list,
+ "agent": _cli.cmd_agent,
+ "ceo": _cli.cmd_ceo,
+ "run": _cli.cmd_run,
+ "tmux": _cli.cmd_tmux,
+ "tmux-ls": _cli.cmd_tmux_ls,
+ "tmux-capture": _cli.cmd_tmux_capture,
+ "tmux-stop": _cli.cmd_tmux_stop,
+ "refactory": _cli.cmd_refactory,
+ "contained": _cli.cmd_contained,
+ "spec": lambda a: {
+ "generate": _cli.cmd_spec_generate,
+ "validate": _cli.cmd_spec_validate,
+ "scope": _cli.cmd_spec_scope,
+ "update": _cli.cmd_spec_update,
+ "apply-diff": _cli.cmd_spec_apply_diff,
+ "impact": _cli.cmd_spec_impact,
+ }.get(
+ str(getattr(a, "spec_command", "")),
+ lambda args: (
+ print("Usage: factory spec {generate,validate,scope,update,apply-diff,impact}") or 1
+ ),
+ )(a),
+ "workflow": lambda a: __import__(
+ "factory.workflow.cli", fromlist=["cmd_workflow"]
+ ).cmd_workflow(a),
+ "plugins": _cmd_plugins,
+ "outer-loop": lambda a: __import__(
+ "factory.cli.outer_loop", fromlist=["cmd_outer_loop"]
+ ).cmd_outer_loop(a),
+ "mempalace": _cli.cmd_mempalace,
+ "graph": lambda a: {
+ "extract": _cli.cmd_graph_extract,
+ "update": _cli.cmd_graph_update,
+ "status": _cli.cmd_graph_status,
+ "query": _cli.cmd_graph_query,
+ "explain": _cli.cmd_graph_explain,
+ "path": _cli.cmd_graph_path,
+ }.get(
+ str(getattr(a, "graph_command", "")),
+ lambda args: print("Usage: factory graph {extract,update,status,query,explain,path}") or 1,
+ )(a),
+ }
+
+ handler = handlers.get(args.command)
+ if handler is None:
+ handler = getattr(args, "_plugin_handler", None)
+ if handler is None:
+ print(f"Unknown command: {args.command}", file=sys.stderr)
+ return 1
+
+ try:
+ return handler(args)
+ except Exception as e:
+ print(f"Error: {e}", file=sys.stderr)
+ return 1
diff --git a/factory/cli/_mode_handlers.py b/factory/cli/_mode_handlers.py
new file mode 100644
index 000000000..1686f2912
--- /dev/null
+++ b/factory/cli/_mode_handlers.py
@@ -0,0 +1,277 @@
+"""Mode-specific early-exit handlers for CEO commands (review, deep-qa)."""
+from __future__ import annotations
+
+import argparse
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _print_banner, _resolve_runner, _run
+
+
+def _resolve_model(args: argparse.Namespace) -> str | None:
+ """Resolve model: CLI flag > FACTORY_MODEL env var > config.toml > None."""
+ from factory.user_config import resolve
+
+ flag = (getattr(args, "model", None) or "").strip() or None
+ return resolve("model", cli_value=flag, env_var="FACTORY_MODEL")
+
+
+def _resolve_tmux_persist(args: argparse.Namespace) -> bool:
+ """Resolve tmux_persist: CLI flag > FACTORY_TMUX_PERSIST env var > config.toml > False."""
+ from factory.user_config import resolve
+
+ cli_flag = getattr(args, "tmux_persist", False)
+ cli_value = "true" if cli_flag else None
+ val = resolve(
+ "tmux_persist", cli_value=cli_value, env_var="FACTORY_TMUX_PERSIST", default="false"
+ )
+ return bool(val and val.lower() in ("1", "true", "yes"))
+
+
+def _resolve_background(args: argparse.Namespace) -> bool:
+ """Resolve background: CLI flag > FACTORY_BG env var > config.toml > False."""
+ from factory.user_config import resolve
+
+ cli_flag = getattr(args, "bg", False)
+ cli_value = "true" if cli_flag else None
+ val = resolve("bg", cli_value=cli_value, env_var="FACTORY_BG", default="false")
+ return bool(val and val.lower() in ("1", "true", "yes"))
+
+
+def _resolve_bg_agents(args: argparse.Namespace) -> bool:
+ """Resolve bg_agents: CLI flag > FACTORY_BG_AGENTS env var > config.toml > False."""
+ from factory.user_config import resolve
+
+ cli_flag = getattr(args, "bg_agents", False)
+ cli_value = "true" if cli_flag else None
+ val = resolve("bg_agents", cli_value=cli_value, env_var="FACTORY_BG_AGENTS", default="false")
+ return bool(val and val.lower() in ("1", "true", "yes"))
+
+
+def _auto_detect_mode(project_path: Path, has_prompt: bool = False, force_fresh: bool = False) -> str:
+ """Detect the right mode based on project state.
+
+ Checks for an in-flight cycle first — if one exists, returns its mode
+ regardless of current project state (prevents mode flip on respawn).
+
+ Args:
+ project_path: Path to the project.
+ has_prompt: True if a build spec is available.
+ force_fresh: If True, ignores in-flight cycle and detects from scratch.
+
+ When a build spec is available (--prompt, idea file, or raw prompt),
+ no_factory routes to build (not discover).
+ """
+ from factory.ceo_completion import read_cycle_state
+ from factory.models import ProjectState
+ from factory.state import detect_state
+
+ if not force_fresh:
+ cycle_state = read_cycle_state(project_path)
+ if cycle_state:
+ print(
+ f" In-flight cycle: {cycle_state.cycle_id} → mode: {cycle_state.mode} "
+ f"(respawns: {cycle_state.respawns})",
+ file=sys.stderr,
+ )
+ return cycle_state.mode
+
+ state = detect_state(project_path)
+ mode_map = {
+ ProjectState.NO_REPO: "design",
+ ProjectState.REPO_INCOMPLETE: "design",
+ ProjectState.NO_FACTORY: "design",
+ ProjectState.EVALS_PENDING_REVIEW: "design",
+ ProjectState.HAS_FACTORY: "design",
+ }
+ mode = mode_map[state]
+
+ print(f" State: {state.value} → mode: {mode}", file=sys.stderr)
+ return mode
+
+
+def handle_review_mode(
+ args: argparse.Namespace,
+ raw_path: str,
+ headless: bool,
+) -> int:
+ """Process --mode review. Returns exit code."""
+ from factory.agents.runner import resolve_prompt
+ from factory.runners import get_runner
+
+ pr_number = getattr(args, "pr", None)
+ if pr_number is None:
+ print("Error: --mode review requires --pr <number>", file=sys.stderr)
+ return 1
+
+ repo = getattr(args, "repo", None)
+ model = _resolve_model(args)
+ runner_name = _resolve_runner(args)
+
+ project_path = Path(raw_path).expanduser().resolve()
+ if not project_path.is_dir():
+ print(
+ f"Error: project path must be an existing directory for review mode: {raw_path}",
+ file=sys.stderr,
+ )
+ return 1
+
+ _print_banner("review")
+
+ repo_flag = f" --repo {repo}" if repo else ""
+ repo_clause = f" in repo `{repo}`" if repo else ""
+ task = (
+ f"Project: {project_path}\nMode: review\n\n"
+ f"## PR Review Directive\n\n"
+ f"Review PR #{pr_number}{repo_clause}.\n\n"
+ f"This is a review-only run — no experiment lifecycle, no Builder iterations.\n\n"
+ f"Execute these steps:\n"
+ f"1. Run baseline eval (factory eval) to get $SCORE_BEFORE\n"
+ f"2. Run the deep-QA pipeline (health_checker, code_reviewer, adversarial_tester) — "
+ f"single pass, iteration 1/1, no Builder fix loop\n"
+ f"3. Run Hard Precheck Gate\n"
+ f"4. Post verdict via "
+ f"factory review --verdict <KEEP|REVERT> --pr {pr_number} "
+ f'--reason "$REASON" '
+ f"--qa-body-file .factory/reviews/adversarial-qa.md"
+ f"{repo_flag}\n"
+ f"\nSet $REASON to the QA verdict summary (e.g. 'QA: CLEAN — 2854 tests pass, 0 issues' "
+ f"or 'QA: ISSUES_FOUND — 3 critical issues'). Set $VERDICT to KEEP if QA is CLEAN, "
+ f"REVERT otherwise.\n"
+ )
+
+ from factory.skill_cache import ensure_skills
+
+ ensure_skills(project_path)
+
+ if not headless:
+ from factory.models import AgentRunRequest
+
+ prompt = resolve_prompt("ceo", project_path)
+ runner = get_runner(runner_name)
+ return runner.interactive_run(
+ AgentRunRequest(
+ prompt=prompt,
+ task=task,
+ cwd=project_path,
+ model=model,
+ role="ceo",
+ skip_permissions=True,
+ )
+ )
+
+ from factory.ceo_completion import run_ceo_with_completion_guard
+
+ result, code = _run(
+ run_ceo_with_completion_guard(
+ project_path,
+ task,
+ mode="review",
+ runner_name=runner_name,
+ model=model,
+ timeout=7200.0,
+ max_respawns=1,
+ )
+ )
+ print(result)
+ return code
+
+
+def handle_deep_qa_mode(
+ args: argparse.Namespace,
+ raw_path: str,
+ headless: bool,
+) -> int:
+ """Process --mode deep-qa. Returns exit code."""
+ from factory.agents.runner import (
+ begin_cycle_session,
+ complete_cycle_session,
+ resolve_prompt,
+ )
+ from factory.runners import get_runner
+
+ pr_number = getattr(args, "pr", None)
+ if pr_number is None:
+ print("Error: --mode deep-qa requires --pr <number>", file=sys.stderr)
+ return 1
+
+ repo = getattr(args, "repo", None)
+ model = _resolve_model(args)
+ runner_name = _resolve_runner(args)
+
+ project_path = Path(raw_path).expanduser().resolve()
+ if not project_path.is_dir():
+ print(
+ f"Error: project path must be an existing directory for deep-qa mode: {raw_path}",
+ file=sys.stderr,
+ )
+ return 1
+
+ _print_banner("deep-qa")
+
+ repo_flag = f" --repo {repo}" if repo else ""
+ repo_clause = f" in repo `{repo}`" if repo else ""
+ task = (
+ f"Project: {project_path}\nMode: deep-qa\n\n"
+ f"## Deep-QA Verification Directive\n\n"
+ f"Run the deep-QA verification pipeline for PR #{pr_number}{repo_clause}.\n\n"
+ f"Execute the 3-specialist pipeline:\n"
+ f"1. health_checker — run eval, compare scores, write health-check.md\n"
+ f"2. code_reviewer — 7-category code review, write code-review.md\n"
+ f"3. adversarial_tester — skeptical feature testing, write adversarial-qa.md\n\n"
+ f"Key parameters:\n"
+ f"- PR_NUMBER={pr_number}\n"
+ f"- PROJECT_PATH={project_path}\n"
+ f"{f'- REPO={repo}' + chr(10) if repo else ''}"
+ f"\nPost the final verdict via:\n"
+ f"factory review --verdict <KEEP|REVERT> --pr {pr_number} "
+ f'--reason "$REASON" '
+ f"--qa-body-file .factory/reviews/adversarial-qa.md"
+ f"{repo_flag}\n"
+ f"\nSet $REASON to the QA verdict summary (e.g. 'QA: CLEAN — 2854 tests pass, 0 issues' "
+ f"or 'QA: ISSUES_FOUND — 3 critical issues'). Set $VERDICT to KEEP if QA is CLEAN, "
+ f"REVERT otherwise.\n"
+ f"\nIMPORTANT: Do NOT post any PR comments (gh pr comment, gh issue comment). "
+ f"The factory review command above is the ONLY GitHub output artifact.\n"
+ )
+
+ cycle_span_id = begin_cycle_session(project_path, cycle_id="deep-qa", model=model)
+
+ from factory.skill_cache import ensure_skills
+
+ ensure_skills(project_path)
+
+ if not headless:
+ from factory.models import AgentRunRequest
+
+ prompt = resolve_prompt("ceo", project_path)
+ runner = get_runner(runner_name)
+ rc = runner.interactive_run(
+ AgentRunRequest(
+ prompt=prompt,
+ task=task,
+ cwd=project_path,
+ model=model,
+ role="ceo",
+ skip_permissions=True,
+ )
+ )
+ complete_cycle_session(project_path, cycle_span_id)
+ return rc
+
+ from factory.ceo_completion import run_ceo_with_completion_guard
+
+ result, code = _run(
+ run_ceo_with_completion_guard(
+ project_path,
+ task,
+ mode="deep-qa",
+ runner_name=runner_name,
+ model=model,
+ timeout=7200.0,
+ max_respawns=1,
+ )
+ )
+ complete_cycle_session(project_path, cycle_span_id)
+ print(result)
+ return code
diff --git a/factory/cli/_parser_groups.py b/factory/cli/_parser_groups.py
new file mode 100644
index 000000000..1f938c5d5
--- /dev/null
+++ b/factory/cli/_parser_groups.py
@@ -0,0 +1,635 @@
+"""Argparse subcommand group builders — extracted from _main.build_parser()."""
+from __future__ import annotations
+
+import argparse
+
+BUILTIN_AGENT_ROLES: frozenset[str] = frozenset({
+ "researcher", "strategist", "builder",
+ "health_checker", "code_reviewer", "adversarial_tester",
+ "archivist", "ceo", "failure_analyst", "refiner",
+})
+
+
+def add_project_setup_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ sub.add_parser("home", help="Print factory installation root directory")
+
+ p = sub.add_parser("detect", help="Print project state")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("discover", help="Introspect project and generate eval profile")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("init", help="Create .factory/ or reparse factory.md")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--reparse", action="store_true", help="Reparse existing factory.md")
+
+
+def add_experiment_lifecycle_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("eval", help="Run project evals, print JSON CompositeScore")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--skip-project-eval", action="store_true", default=False,
+ help="Skip user-defined project eval dimensions (run only hygiene + growth)")
+
+ p = sub.add_parser("guard", help="Check guard rules, print violations or 'clean'")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--baseline", required=True, help="Baseline commit SHA")
+ p.add_argument("--check-scope", action="store_true", help="Also check file scope")
+ p.add_argument("--check-surfaces", action="store_true",
+ help="Also check fixed surface constraints (research mode)")
+
+ p = sub.add_parser("begin", help="Start experiment, print ID")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--hypothesis", required=True, help="Experiment hypothesis text")
+
+ p = sub.add_parser("finalize", help="Finalize experiment with verdict")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--id", required=True, type=int, help="Experiment ID")
+ p.add_argument("--verdict", required=True, choices=["keep", "revert", "error"],
+ help="Experiment verdict")
+ p.add_argument("--hypothesis", default=None, help="Hypothesis text")
+ p.add_argument("--summary", default=None, help="Change summary")
+ p.add_argument("--cost", default=None, type=float, help="Cost in USD")
+ p.add_argument("--issue", default=None, type=int, help="GitHub issue number")
+ p.add_argument("--pr", default=None, type=int, help="GitHub PR number")
+ p.add_argument("--notes", default=None, help="Additional notes")
+ p.add_argument("--score-before", type=float, default=None, help="Eval score before change")
+ p.add_argument("--score-after", type=float, default=None, help="Eval score after change")
+ p.add_argument("--force", action="store_true", default=False,
+ help="Bypass precheck gate (for pre-existing failures)")
+
+ p = sub.add_parser("precheck", help="Run hard precheck gate before keep/revert decision")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--score-before", type=float, default=None, help="Eval score before change")
+ p.add_argument("--score-after", type=float, default=None, help="Eval score after change")
+ p.add_argument("--hypothesis", default=None, help="Current experiment hypothesis")
+ p.add_argument("--baseline", default=None, help="Baseline commit SHA for scope check")
+ p.add_argument("--similarity-threshold", type=float, default=0.6,
+ help="Similarity threshold for anti-pattern detection (default: 0.6)")
+
+ p = sub.add_parser("log", help="Append a structured event to .factory/events.jsonl")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("event_type", help="Event type (e.g. phase.research.completed)")
+ p.add_argument("--data", help="JSON data payload")
+ p.add_argument("--agent", help="Agent name to attribute the event to")
+
+ p = sub.add_parser("emit", help="Emit a structured event to .factory/events.jsonl")
+ p.add_argument("event_type", help="Event type (e.g. agent.started, agent.completed)")
+ p.add_argument("--agent", default=None, help="Agent role name")
+ p.add_argument("--project", default=".", help="Project path")
+ p.add_argument("--data", default=None, help="JSON string of additional event data")
+
+ p = sub.add_parser("review", help="Format and post a structured review on a GitHub PR")
+ p.add_argument("--verdict", required=True, choices=["keep", "revert", "KEEP", "REVERT"],
+ help="Review verdict")
+ p.add_argument("--reason", default=None, help="One-sentence reason for the verdict")
+ p.add_argument("--score-before", type=float, default=None, help="Score before change")
+ p.add_argument("--score-after", type=float, default=None, help="Score after change")
+ p.add_argument("--threshold", type=float, default=0.8, help="Eval threshold")
+ p.add_argument("--guards", default=None,
+ help="Guard results as 'check:PASS,check:FAIL' pairs")
+ p.add_argument("--precheck-summary", default=None, help="Precheck gate output summary")
+ p.add_argument("--code-notes", default=None,
+ help="Code review notes separated by | (pipe)")
+ p.add_argument("--experiment-id", type=int, default=None, help="Experiment ID")
+ p.add_argument("--hypothesis", default=None, help="Experiment hypothesis text")
+ p.add_argument("--pr", type=int, default=None, help="PR number to post review on")
+ p.add_argument("--repo", default=None, help="GitHub repo (owner/name) for the PR")
+ p.add_argument("--qa-body-file", default=None,
+ help="Path to file containing QA analysis to include in review")
+ p.add_argument("--dry-run", action="store_true", default=False,
+ help="Print review without posting")
+
+
+def add_project_intelligence_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("history", help="Print formatted experiment history table")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("study", help="Read interaction logs and write observations")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument(
+ "--projects-dir", default=None,
+ help="Directory containing factory-managed projects for cross-project insights",
+ )
+ p.add_argument(
+ "--focus", default=None,
+ help="Targeted mode: filter observations to a single backlog item",
+ )
+
+ p = sub.add_parser("status", help="Print project status summary")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("summary", help="Generate end-of-session summary report")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("leakage-check", help="Scan text for ground truth leakage against fixed surfaces")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--text", default=None, help="Text to scan for leakage (hypothesis, strategy, etc.)")
+ p.add_argument("--text-file", default=None, help="Path to file containing text to scan (safer for large diffs)")
+ p.add_argument("--sensitivity", choices=["low", "medium", "high"], default="medium",
+ help="Sensitivity level (default: medium)")
+
+ p = sub.add_parser("validate-research", help="Validate research mode configuration for ground truth isolation")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("research", help="Print research citation index for experiments")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("diff", help="Compare two experiments side-by-side")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("id_a", type=int, help="First experiment ID")
+ p.add_argument("id_b", type=int, help="Second experiment ID")
+
+ p = sub.add_parser("explain", help="Explain a single experiment with FEEC analysis")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("id", type=int, help="Experiment ID")
+
+ p = sub.add_parser("export", help="Export complete project snapshot as JSON to stdout")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("insights", help="Cross-project analysis of experiment histories")
+ p.add_argument("path", help="Path to the project (insights.md written here)")
+ p.add_argument(
+ "--projects-dir", default=None,
+ help="Directory containing factory-managed projects (default: from registry or ~/factory-projects)",
+ )
+
+ p = sub.add_parser("report-update", help="Generate performance report for a project")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("clean-pr", help="Strip non-essential artifacts from a PR diff")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--exp", type=int, default=None, help="Experiment ID (archives full diff before stripping)")
+
+ p = sub.add_parser("baseline", help="Fetch stored eval baseline from eval-data branch")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--commit", default=None,
+ help="Commit SHA to look up (default: git merge-base HEAD <target-branch>)")
+
+ p = sub.add_parser("adversarial-state", help="Inspect or reset adversarial eval loop state")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--reset", action="store_true", default=False,
+ help="Reset adversarial state to defaults")
+
+ spec_parser = sub.add_parser("spec", help="Repo spec generation and analysis")
+ spec_sub = spec_parser.add_subparsers(dest="spec_command")
+ p_spec_gen = spec_sub.add_parser("generate", help="Generate a repo spec for a project")
+ p_spec_gen.add_argument("path", help="Path to the project")
+ p_spec_val = spec_sub.add_parser("validate", help="Validate a repo spec against the project")
+ p_spec_val.add_argument("path", help="Path to the project")
+ p_spec_scope = spec_sub.add_parser("scope", help="Scope a diff against the repo spec")
+ p_spec_scope.add_argument("path", help="Path to the project")
+ p_spec_scope.add_argument("--experiment", type=int, default=None, help="Experiment ID to scope")
+ p_spec_update = spec_sub.add_parser("update", help="Update the repo spec from recent changes")
+ p_spec_update.add_argument("path", help="Path to the project")
+ p_spec_apply_diff = spec_sub.add_parser("apply-diff", help="Apply SPEC Diff from strategy to SPEC.md")
+ p_spec_apply_diff.add_argument("path", help="Path to the project")
+ p_spec_apply_diff.add_argument("--strategy", default=None,
+ help="Path to strategy file (default: .factory/strategy/current.md)")
+ p_spec_impact = spec_sub.add_parser("impact", help="Show impact subgraph for a module")
+ p_spec_impact.add_argument("module", help="Module name to query")
+ p_spec_impact.add_argument("--project", required=True, help="Path to the project")
+
+
+def add_backlog_refinement_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("backlog-remove", aliases=["deferred-remove"], help="Remove a completed backlog item")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("item", help="Exact text of the backlog item to remove")
+
+ p = sub.add_parser("backlog-list", aliases=["deferred-list"], help="List pending backlog items")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("backlog-add", help="Add a new item to the backlog")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("item", help="Text of the backlog item to add")
+
+ p = sub.add_parser("refine-status", help="Print refinement state and regrounding output")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("refine-begin", help="Record a new refinement and emit regrounding output")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--request", required=True, help="Summary of the user's refinement request")
+
+ p = sub.add_parser("refine-complete", help="Complete the current refinement with a verdict")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--verdict", required=True, choices=["keep", "revert", "error", "tier3_exit"],
+ help="Refinement verdict")
+
+ p = sub.add_parser("message", help="Send a message to the CEO for the next cycle")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("text", help="Message text")
+
+
+def add_archive_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("backfill-citations", help="Extract citations from experiment text into citations.json")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("backfill-archive", help="Generate archive notes for experiments missing from archive")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("archive", help="Write experiment notes to Obsidian vault")
+ p.add_argument("path", help="Path to the project")
+
+ sub.add_parser("vault-init", help="Create the factory Obsidian vault")
+
+
+def add_self_evolution_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("ace", help="Run ACE self-improvement on agent playbooks")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument(
+ "--projects-dir", default=None,
+ help="Directory containing factory-managed projects (default: from registry or ~/factory-projects)",
+ )
+ p.add_argument(
+ "--dry-run", action="store_true", default=False,
+ help="Print candidates without writing playbooks",
+ )
+
+ sub.add_parser("ace-stats", help="Print playbook item counters for all roles")
+
+ p = sub.add_parser("digest", help="Summarize recent factory activity across projects")
+ p.add_argument("--date", default=None, help="Show activity for a specific date (YYYY-MM-DD)")
+ p.add_argument("--days", type=int, default=7, help="Number of days to look back (default: 7)")
+
+
+def add_configuration_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ sub.add_parser("self-update", help="Upgrade the factory CLI to the latest version")
+
+ p = sub.add_parser("install", help="Install Factory agents as CLI agents (~/.claude/agents/)")
+ p.add_argument(
+ "--role",
+ default=None,
+ help="Install only a specific agent role (default: all)",
+ )
+
+ p = sub.add_parser("usage", help="Show per-agent token usage and cost breakdown")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--json", action="store_true", default=False,
+ help="Output as JSON instead of table")
+
+ runners_parser = sub.add_parser("runners", help="Manage factory runners")
+ runners_sub = runners_parser.add_subparsers(dest="runners_command")
+ p_runners_list = runners_sub.add_parser("list", help="List all registered runners")
+ p_runners_list.add_argument("--json", action="store_true", default=False,
+ help="Output as JSON")
+
+ sub.add_parser("serve-mcp", help="Start the Factory MCP stdio server")
+
+ p = sub.add_parser("dashboard", help="Launch the live Factory dashboard")
+ p.add_argument(
+ "--projects-dir", default="~/factory-projects",
+ help="Directory containing factory-managed projects (default: ~/factory-projects)",
+ )
+ p.add_argument("--port", type=int, default=8420, help="Server port (default: 8420)")
+ p.add_argument("--host", default="0.0.0.0", help="Server host (default: 0.0.0.0)")
+
+ config_parser = sub.add_parser("config", help="Manage ~/.factory/config.toml")
+ config_sub = config_parser.add_subparsers(dest="config_command")
+ p_show = config_sub.add_parser("show", help="Show resolved config (secrets masked)")
+ p_show.add_argument("--reveal", action="store_true", default=False,
+ help="Show full secret values instead of masking")
+ config_sub.add_parser("edit", help="Open config.toml in $EDITOR")
+ config_sub.add_parser("migrate", help="Create starter config.toml from current env vars")
+
+ profile_parser = sub.add_parser("profile", help="Manage the user profile at ~/.factory/profile.md")
+ profile_sub = profile_parser.add_subparsers(dest="profile_command")
+ p_build = profile_sub.add_parser("build", help="Collect evidence and synthesize user profile")
+ p_build.add_argument("paths", nargs="*", default=None,
+ help="Project paths to collect evidence from (default: all registered)")
+ p_build.add_argument("--dry-run", action="store_true", default=False,
+ help="Print collected evidence without running LLM synthesis")
+ p_build.add_argument("--runner", default=None,
+ help="CLI backend to use for synthesis")
+ profile_sub.add_parser("show", help="Print the current user profile")
+
+
+def add_validation_recovery_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("notify", help="Send Telegram digest")
+ p.add_argument("path", help="Path to the project")
+
+ p = sub.add_parser("checkpoint", help="Show or save a CEO checkpoint for crash-resilient resume")
+ p.add_argument("path", help="Path to the project")
+ ckpt_action = p.add_mutually_exclusive_group()
+ ckpt_action.add_argument("--save", action="store_true", default=False, help="Save a checkpoint")
+ ckpt_action.add_argument("--clear", action="store_true", default=False,
+ help="Clear the checkpoint file")
+ p.add_argument("--mode", default=None, help="CEO mode (e.g. improve, build)")
+ p.add_argument("--experiment", type=int, default=None, help="Active experiment ID")
+ p.add_argument("--completed", default=None,
+ help="Comma-separated list of completed agent roles")
+ p.add_argument("--pending", default=None,
+ help="Comma-separated list of pending agent roles")
+ p.add_argument("--scores", default=None,
+ help="JSON dict of eval scores (e.g. '{\"tests\": 0.9}')")
+ p.add_argument("--hypothesis", default=None, help="Current hypothesis text")
+ p.add_argument("--completed-hypotheses", default=None,
+ help="Comma-separated list of completed experiment IDs (e.g. '1,2,3')")
+
+ p = sub.add_parser("resume", help="Resume a CEO session via Claude --resume")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--model", help="Model override for the resumed session")
+
+ sub.add_parser("registry-list", help="List all registered factory-managed projects")
+
+
+def add_entry_point_parsers(sub: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ p = sub.add_parser("agent", help="Invoke a specialist agent with a task")
+ p.add_argument("role",
+ help="Agent role to invoke (built-in or plugin-registered)")
+ p.add_argument("--task", required=True, help="Task description for the agent")
+ p.add_argument("--project", required=True, help="Path to the project")
+ p.add_argument("--timeout", type=float, default=600.0,
+ help="Timeout in seconds (default: 600)")
+ p.add_argument("--model", default=None,
+ help="Claude model for agent subprocess (default: FACTORY_MODEL env var, or claude CLI default)")
+ p.add_argument("--runner", default=None,
+ help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
+ p.add_argument("--profile", default=None,
+ help="Credential profile from ~/.factory/config.toml")
+ p.add_argument("--use-profile", action="store_true", default=False,
+ help="Inject user profile (~/.factory/profile.md) into the agent prompt")
+ p.add_argument("--tmux-persist", action="store_true", default=False,
+ help="Run agent interactively in a tmux window instead of headless (claude only)")
+ p.add_argument("--bg", action="store_true", default=False,
+ help="Dispatch agent as a background session via claude agent view (claude only)")
+ p.add_argument("--review-tag", default=None,
+ help="Tag for distinct review output files (writes <role>-<tag>-latest.md)")
+ p.add_argument("--parent-session", default=None,
+ help="Parent session ID for linking specialist sessions to a CEO cycle session")
+
+ p = sub.add_parser("ceo", help="Launch the Factory CEO agent (interactive by default)")
+ p.add_argument("path", nargs="?", default=None,
+ help="Project path, GitHub URL, idea file path, or prompt. "
+ "In design mode, pass a raw idea string")
+ p.add_argument(
+ "--prompt", default=None,
+ help="Path to a prompt/spec file (absolute or relative to project). "
+ "Loaded as the build spec into .factory/strategy/current.md",
+ )
+ p.add_argument(
+ "--mode",
+ metavar="MODE",
+ default="auto",
+ help="Operating mode. Built-in: auto, design, create. "
+ "Project-local: project:<name> (loads from .factory/workflows/<name>.py)",
+ )
+ p.add_argument(
+ "--focus", default=None,
+ help="Target a specific item: backlog name ('dashboard UI'), issue number (42), "
+ "URL (https://github.com/o/r/issues/42), or shorthand (owner/repo#42). "
+ "Issue refs are auto-detected and fetched via gh/glab CLI",
+ )
+ p.add_argument(
+ "--dir", default=None,
+ help="Working directory name for the new project (overrides auto-derived name from prompt or idea file). "
+ "Ignored when pointing at an existing directory or GitHub URL.",
+ )
+ p.add_argument(
+ "--headless", action="store_true", default=False,
+ help="Run in pipe mode (non-interactive) instead of foreground",
+ )
+ p.add_argument(
+ "--discover-only", action="store_true", default=False,
+ help="Only run discovery and review — do not chain into improve",
+ )
+ p.add_argument(
+ "--no-github", action="store_true", default=False,
+ help="Disable GitHub operations (issue creation, PR posting, cloning)",
+ )
+ p.add_argument("--min-growth", type=int, default=None,
+ help="Minimum guaranteed growth hypotheses (default: 2)")
+ p.add_argument("--max-new", type=int, default=None,
+ help="Max new items added to backlog per cycle (default: 2)")
+ p.add_argument("--branch", default=None,
+ help="Target branch for PRs (default: from factory.md, fallback: main)")
+ p.add_argument("--model", default=None,
+ help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
+ p.add_argument("--runner", default=None,
+ help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
+ p.add_argument("--profile", default=None,
+ help="Credential profile from ~/.factory/config.toml")
+ p.add_argument(
+ "--refine", default=None, metavar="REQUEST",
+ help="Refinement mode: classify and implement a user-directed change. "
+ "Mutually exclusive with --mode design, --mode research, --mode meta, --prompt, --focus",
+ )
+ p.add_argument("--use-profile", action="store_true", default=False,
+ help="Inject user profile (~/.factory/profile.md) into agent prompts")
+ clean_pr_group = p.add_mutually_exclusive_group()
+ clean_pr_group.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
+ help="Enable clean PR mode: strip non-essential artifacts before PR")
+ clean_pr_group.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
+ help="Disable clean PR mode")
+ p.add_argument("--tmux-persist", action="store_true", default=False,
+ help="Run agent interactively in a tmux window instead of headless (claude only)")
+ p.add_argument("--bg", action="store_true", default=False,
+ help="Dispatch agent as a background session via claude agent view (claude only)")
+ p.add_argument("--bg-agents", action="store_true", default=False,
+ help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
+ p.add_argument("--pr", type=int, default=None,
+ help="PR number for --mode review or --mode deep-qa (required when mode=review or mode=deep-qa)")
+ p.add_argument("--repo", default=None,
+ help="Repository (owner/repo) for --mode review or --mode deep-qa (optional, defaults to current repo)")
+ p.add_argument("--run-id", default=None, dest="run_id",
+ help="Use a specific run ID (e.g., UUID from external orchestrator). "
+ "First 8 chars are used for worktree naming")
+ p.add_argument("--no-worktree", action="store_true", default=False, dest="no_worktree",
+ help="Run directly in the project directory without creating a worktree "
+ "(useful for testing in-flight branch changes)")
+ p.add_argument("--overwrite", default=None, metavar="TEXT",
+ help="Natural-language directive to mutate the workflow for this session "
+ "(e.g. 'skip adversarial testing', 'add a lint step after build')")
+ p.add_argument("--auto-approve", action="store_true", default=False,
+ help="Auto-approve user gates in design mode (skip interactive strategy review)")
+ p.add_argument("--from-plan", default=None, metavar="PLAN_SOURCE", dest="from_plan",
+ help="Load an existing plan into design mode instead of running research. "
+ "Accepts a local file path, GitHub issue URL, issue number, or fuzzy search string. "
+ "Requires --mode design; mutually exclusive with --focus and --prompt")
+ p.add_argument("--just-plan", action="store_true", default=False, dest="just_plan",
+ help="Plan-only mode: research + strategy + GitHub publishing, NO implementation. "
+ "Requires --mode design. Mutually exclusive with --from-plan and --prompt.")
+ p.add_argument("--plugin", action="store_true", default=False,
+ help="Generate mode as a standalone pip-installable plugin package. "
+ "Requires --mode create. Output includes pyproject.toml with "
+ "factory.plugins entry point registration.")
+ p.add_argument("--folder", default=None, metavar="PATH",
+ help="Output directory for plugin package (default: ./<mode-name>-plugin). "
+ "Only used with --plugin.")
+ p.add_argument("--engine", choices=["skill", "tool", "deterministic"], default="skill",
+ help="Execution engine: skill (CEO follows SKILL.md, default), "
+ "tool (CEO drives via factory workflow tool commands), "
+ "deterministic (headless WorkflowExecutor, no CEO)")
+
+ p = sub.add_parser("run", help="Run factory cycle (delegates to CEO agent)")
+ p.add_argument("path", help="Project path, GitHub URL, idea file path, or prompt")
+ p.add_argument(
+ "--prompt", default=None,
+ help="Path to a prompt/spec file (absolute or relative to project). "
+ "Loaded as the build spec into .factory/strategy/current.md",
+ )
+ p.add_argument(
+ "--mode",
+ metavar="MODE",
+ default="auto",
+ help="Operating mode. Built-in: auto, design, create. "
+ "Project-local: project:<name>",
+ )
+ p.add_argument(
+ "--focus", default=None,
+ help="Target a specific item: backlog name ('dashboard UI'), issue number (42), "
+ "URL (https://github.com/o/r/issues/42), or shorthand (owner/repo#42). "
+ "Issue refs are auto-detected and fetched via gh/glab CLI",
+ )
+ p.add_argument(
+ "--discover-only", action="store_true", default=False,
+ help="Only run discovery and review — do not chain into improve",
+ )
+ p.add_argument(
+ "--no-github", action="store_true", default=False,
+ help="Disable GitHub operations (issue creation, PR posting, cloning)",
+ )
+ p.add_argument(
+ "--loop", action="store_true", default=False,
+ help="Enable heartbeat mode: run continuously with sleep between cycles",
+ )
+ p.add_argument(
+ "--interval", type=int, default=1800,
+ help="Seconds to sleep between cycles (default: 1800)",
+ )
+ p.add_argument(
+ "--max-cycles", type=int, default=None,
+ help="Maximum number of cycles (default: unlimited)",
+ )
+ p.add_argument("--min-growth", type=int, default=None,
+ help="Minimum guaranteed growth hypotheses (default: 2)")
+ p.add_argument("--max-new", type=int, default=None,
+ help="Max new items added to backlog per cycle (default: 2)")
+ p.add_argument("--branch", default=None,
+ help="Target branch for PRs (default: from factory.md, fallback: main)")
+ p.add_argument("--model", default=None,
+ help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
+ p.add_argument("--runner", default=None,
+ help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
+ p.add_argument("--profile", default=None,
+ help="Credential profile from ~/.factory/config.toml")
+ p.add_argument("--use-profile", action="store_true", default=False,
+ help="Inject user profile (~/.factory/profile.md) into agent prompts")
+ run_clean_pr_group = p.add_mutually_exclusive_group()
+ run_clean_pr_group.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
+ help="Enable clean PR mode: strip non-essential artifacts before PR")
+ run_clean_pr_group.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
+ help="Disable clean PR mode")
+ p.add_argument("--tmux-persist", action="store_true", default=False,
+ help="Run agent interactively in a tmux window instead of headless (claude only)")
+ p.add_argument("--bg", action="store_true", default=False,
+ help="Dispatch agent as a background session via claude agent view (claude only)")
+ p.add_argument("--bg-agents", action="store_true", default=False,
+ help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
+ p.add_argument("--run-id", default=None, dest="run_id",
+ help="Use a specific run ID (e.g., UUID from external orchestrator). "
+ "First 8 chars are used for worktree naming")
+ p.add_argument("--no-worktree", action="store_true", default=False, dest="no_worktree",
+ help="Run directly in the project directory without creating a worktree "
+ "(useful for testing in-flight branch changes)")
+ p.add_argument("--engine", choices=["skill", "tool", "deterministic"], default="skill",
+ help="Execution engine: skill (CEO follows SKILL.md, default), "
+ "tool (CEO drives via factory workflow tool commands), "
+ "deterministic (headless WorkflowExecutor, no CEO)")
+ p.add_argument("--overwrite", default=None, metavar="TEXT",
+ help="Natural-language directive to mutate the workflow for this session")
+ p.add_argument("--auto-approve", action="store_true", default=False,
+ help="Auto-approve user gates in design mode (skip interactive strategy review)")
+
+ p = sub.add_parser("tmux", help="Launch factory run in a detached tmux session")
+ p.add_argument("path", help="Path to the project")
+ p.add_argument("--session", default=None, help="Custom tmux session name")
+ p.add_argument(
+ "--mode",
+ metavar="MODE",
+ default="auto",
+ help="Run mode (default: auto, respects in-flight cycle)",
+ )
+ p.add_argument("--loop", action="store_true", default=False, help="Enable loop mode")
+ p.add_argument("--interval", type=int, default=1800, help="Loop interval in seconds")
+ p.add_argument("--max-cycles", type=int, default=None, help="Max cycles for loop mode")
+ p.add_argument("--attach", action="store_true", default=False,
+ help="Attach to session after creating")
+ p.add_argument(
+ "--no-github", action="store_true", default=False,
+ help="Disable GitHub operations (issue creation, PR posting, cloning)",
+ )
+ p.add_argument("--model", default=None,
+ help="Claude model for agent subprocesses (default: FACTORY_MODEL env var, or claude CLI default)")
+ p.add_argument("--runner", default=None,
+ help="CLI backend to use (default: FACTORY_RUNNER env var, or 'claude')")
+ p.add_argument("--profile", default=None,
+ help="Credential profile from ~/.factory/config.toml")
+ p.add_argument(
+ "--focus", default=None,
+ help="Target a specific item: backlog name, issue number, URL, or shorthand",
+ )
+ p.add_argument(
+ "--refine", default=None, metavar="REQUEST",
+ help="Refinement mode: classify and implement a user-directed change",
+ )
+ tmux_clean_pr = p.add_mutually_exclusive_group()
+ tmux_clean_pr.add_argument("--clean-pr", action="store_true", default=None, dest="clean_pr",
+ help="Enable clean PR mode")
+ tmux_clean_pr.add_argument("--no-clean-pr", action="store_false", dest="clean_pr",
+ help="Disable clean PR mode")
+ p.add_argument(
+ "--prompt", default=None,
+ help="Path to a prompt/spec file",
+ )
+ p.add_argument("--branch", default=None,
+ help="Target branch for PRs")
+ p.add_argument("--min-growth", type=int, default=None,
+ help="Minimum guaranteed growth hypotheses")
+ p.add_argument("--max-new", type=int, default=None,
+ help="Max new items added to backlog per cycle")
+ p.add_argument("--discover-only", action="store_true", default=False,
+ help="Only run discovery and review — do not chain into improve")
+ p.add_argument("--bg-agents", action="store_true", default=False,
+ help="Background sub-agents (via FACTORY_BG=1) while CEO runs in foreground")
+ p.add_argument("--tmux-persist", action="store_true", default=False,
+ help="Run agent interactively in a tmux window instead of headless (claude only)")
+ p.add_argument("--use-profile", action="store_true", default=False,
+ help="Inject user profile (~/.factory/profile.md) into agent prompts")
+ p.add_argument("--engine", choices=["skill", "tool", "deterministic"], default="skill",
+ help="Execution engine: skill (CEO follows SKILL.md, default), "
+ "tool (CEO drives via factory workflow tool commands), "
+ "deterministic (headless WorkflowExecutor, no CEO)")
+ p.add_argument("--overwrite", default=None, metavar="TEXT",
+ help="Natural-language directive to mutate the workflow for this session")
+
+ p = sub.add_parser("tmux-ls", help="List running factory tmux sessions")
+ p.add_argument("--json", action="store_true", default=False, dest="json_output",
+ help="Output as JSON array for programmatic consumption")
+
+ p = sub.add_parser("tmux-capture", help="Capture recent output from a factory tmux session")
+ p.add_argument("path", nargs="?", default=None, help="Project path (derives session name)")
+ p.add_argument("--session", default=None, help="Session name to capture from")
+ p.add_argument("--lines", type=int, default=-100, help="Number of lines to capture (default: -100)")
+
+ p = sub.add_parser("tmux-stop", help="Stop factory tmux session(s)")
+ p.add_argument("--session", default=None, help="Session name to stop")
+ p.add_argument("--path", default=None, help="Project path (derives session name)")
+ p.add_argument("--all", action="store_true", default=False, dest="stop_all",
+ help="Stop ALL factory tmux sessions (required when no --session/--path given)")
+ p.add_argument("--force", action="store_true", default=False,
+ help="Force-kill a session even if it's not in the factory registry")
+
+ p = sub.add_parser("refactory", help="Launch the re:factory persistent supervisor agent")
+ p.add_argument("path", nargs="?", default=None,
+ help="Project directory (default: current working directory)")
+ p.add_argument("--reset", action="store_true", default=False,
+ help="Reset session (new session ID, fresh start)")
+ p.add_argument("--model", default=None,
+ help="Claude model override")
+ p.add_argument("--loop", action="store_true", default=False,
+ help="Enable workflow-tune loop: adds /workflow-tune skill for iterative tuning")
+
+ from factory.cli.contained import build_contained_parser
+ build_contained_parser(sub)
+
+ from factory.workflow.cli import add_workflow_parser
+ add_workflow_parser(sub) # type: ignore[arg-type]
diff --git a/factory/cli/_path_resolver.py b/factory/cli/_path_resolver.py
new file mode 100644
index 000000000..1b1562ba7
--- /dev/null
+++ b/factory/cli/_path_resolver.py
@@ -0,0 +1,442 @@
+"""Path resolution and project materialization for CEO commands."""
+from __future__ import annotations
+
+import re
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+from typing import NamedTuple
+
+import structlog
+
+from factory.cli._helpers import _is_github_url, _safe_is_dir, _safe_is_file
+
+log = structlog.get_logger()
+
+
+class PlanSource(NamedTuple):
+ plan: str
+ feedback: list[str]
+ source: str
+
+
+_FILLER_WORDS = frozenset({
+ "a", "an", "the", "that", "which", "with", "for", "and", "or", "to", "using",
+ "comprehensive", "simple", "basic", "advanced", "new", "custom", "full",
+ "complete", "modern", "robust", "scalable", "lightweight", "minimal",
+ "fully", "featured", "production", "ready",
+})
+
+
+_VERB_RE = re.compile(
+ r"^(build|create|make|implement|develop|design|write|add|set\s*up|construct|craft)\b\s*"
+)
+
+
+def _get_projects_dir() -> Path:
+ from factory.user_config import resolve
+
+ raw = resolve("projects_dir", env_var="FACTORY_PROJECTS_DIR", default=str(Path.home() / "factory-projects"))
+ return Path(raw).expanduser() if raw else Path.home() / "factory-projects"
+
+
+_ORIGINAL_GET_PROJECTS_DIR = _get_projects_dir
+
+
+def _resolve_projects_dir() -> Path:
+ """Resolve _get_projects_dir with support for test monkeypatching on factory.cli."""
+ import factory.cli as _cli
+ cli_fn = getattr(_cli, "_get_projects_dir", _ORIGINAL_GET_PROJECTS_DIR)
+ if cli_fn is not _ORIGINAL_GET_PROJECTS_DIR:
+ return cli_fn()
+ return _get_projects_dir()
+
+
+def _resolve_input(raw: str, dir_name: str | None = None) -> tuple[Path, str | None]:
+ """Resolve any user input to (project_path, optional_context).
+
+ Handles four input types in priority order:
+ 1. Existing directory -> use directly
+ 2. Existing file -> read as spec, create repo
+ 3. GitHub URL -> clone
+ 4. Raw prompt -> create repo, use prompt as spec
+ """
+ # 1. Existing directory
+ expanded = Path(raw).expanduser()
+ if _safe_is_dir(expanded):
+ return expanded.resolve(), None
+
+ # 2. Existing file (e.g. path to an idea/spec .md file)
+ if _safe_is_file(expanded):
+ idea_content = expanded.read_text()
+ slug = _slugify(dir_name) if dir_name else _slugify(expanded.stem.split("—")[0].strip())
+ project_path = _dedupe_project_path(_resolve_projects_dir() / slug, idea_content)
+ print(f"Idea file: {expanded.name}")
+ print(f"Project directory: {project_path}")
+ return project_path, idea_content
+
+ # 3. GitHub URL
+ if _is_github_url(raw):
+ tmp_dir = tempfile.mkdtemp(prefix="factory-")
+ subprocess.run(["git", "clone", raw, tmp_dir], check=True)
+ print(f"Cloned {raw} → {tmp_dir}")
+ return Path(tmp_dir).resolve(), None
+
+ # 4. Raw prompt
+ slug = _slugify(dir_name) if dir_name else _extract_project_name(raw)
+ project_path = _dedupe_project_path(_resolve_projects_dir() / slug, raw)
+ print(f"New project from prompt: {project_path}")
+ return project_path, raw
+
+
+def _extract_project_name(description: str) -> str:
+ """Extract a concise project name from a verbose description.
+
+ Strips leading imperative verbs and filler words, then takes
+ up to 4 whitespace-delimited tokens (hyphenated compounds like
+ ``real-time`` count as one token).
+ """
+ text = description.lower().strip()
+ text = _VERB_RE.sub("", text)
+ words = [w for w in re.split(r"\s+", text) if w and w not in _FILLER_WORDS]
+ name = "-".join(words[:4])
+ return _slugify(name) if name else _slugify(description[:50])
+
+
+def _extract_short_description(text: str, max_words: int = 6) -> str:
+ """Extract a short lowercase phrase from idea text for session naming.
+
+ Like ``_extract_project_name`` but keeps spaces and allows more words.
+ """
+ lowered = text.lower().strip()
+ lowered = _VERB_RE.sub("", lowered)
+ words = [w for w in re.split(r"\s+", lowered) if w and w not in _FILLER_WORDS]
+ return " ".join(words[:max_words])
+
+
+def _dedupe_project_path(project_path: Path, new_spec: str) -> Path:
+ """Append a numeric suffix if the directory already holds a different project."""
+ spec_path = project_path / ".factory" / "strategy" / "current.md"
+ if not spec_path.exists():
+ return project_path
+ if new_spec.strip() in spec_path.read_text():
+ return project_path
+ base = project_path
+ counter = 2
+ while True:
+ candidate = base.parent / f"{base.name}-{counter}"
+ cand_spec = candidate / ".factory" / "strategy" / "current.md"
+ if not cand_spec.exists():
+ return candidate
+ if new_spec.strip() in cand_spec.read_text():
+ return candidate
+ counter += 1
+
+
+def _slugify(text: str) -> str:
+ """Convert text to a filesystem-safe slug."""
+ text = text.lower().strip()
+ text = re.sub(r"[^\w\s-]", "", text)
+ text = re.sub(r"[\s_]+", "-", text)
+ return text[:50].rstrip("-") or "factory-project"
+
+
+def _ensure_repo(project_path: Path) -> None:
+ """Create directory + git init (with initial commit) if needed."""
+ project_path.mkdir(parents=True, exist_ok=True)
+ if not (project_path / ".git").is_dir():
+ subprocess.run(["git", "init"], cwd=project_path, capture_output=True, check=True)
+ subprocess.run(
+ ["git", "-c", "user.name=Factory", "-c", "user.email=factory@localhost",
+ "commit", "--allow-empty", "-m", "Initial commit"],
+ cwd=project_path, capture_output=True, check=True,
+ )
+
+
+def _persist_spec(project_path: Path, spec: str) -> None:
+ """Write the project spec to .factory/strategy/current.md so all agents can read it."""
+ strategy_dir = project_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ spec_path = strategy_dir / "current.md"
+ if not spec_path.exists():
+ spec_path.write_text(f"## Project Specification\n\n{spec}\n")
+
+
+def _materialize_project(project_path: Path, spec: str | None = None) -> None:
+ """Create git repo and optionally persist spec. Single choke point for deferred creation."""
+ _ensure_repo(project_path)
+ if spec:
+ _persist_spec(project_path, spec)
+
+
+def _is_scaffold_only(project_path: Path) -> bool:
+ """Return True if project_path is empty scaffolding that can be safely removed.
+
+ A project is considered scaffold-only when it has exactly 1 git commit
+ (the initial empty commit from _ensure_repo) and the only non-.git content
+ is .factory/strategy/current.md.
+ """
+ if not project_path.is_dir():
+ return False
+ git_dir = project_path / ".git"
+ if not git_dir.is_dir():
+ return False
+ result = subprocess.run(
+ ["git", "rev-list", "--count", "HEAD"],
+ cwd=project_path, capture_output=True, text=True,
+ )
+ if result.returncode != 0 or result.stdout.strip() != "1":
+ return False
+ non_git = [
+ p for p in project_path.rglob("*")
+ if p.is_file() and ".git" not in p.parts
+ ]
+ allowed = {project_path / ".factory" / "strategy" / "current.md"}
+ return all(p in allowed for p in non_git)
+
+
+def _read_prompt_file(project_path: Path, prompt_file: str) -> str:
+ """Read a prompt file (absolute or relative to project) and persist it as the build spec."""
+ import sys
+
+ prompt_path = Path(prompt_file)
+ if not prompt_path.is_absolute():
+ prompt_path = project_path / prompt_path
+ if not prompt_path.exists():
+ print(f"Error: prompt file not found: {prompt_path}", file=sys.stderr)
+ sys.exit(1)
+ content = prompt_path.read_text()
+ strategy_dir = project_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ spec_path = strategy_dir / "current.md"
+ spec_path.write_text(f"## Project Specification\n\n{content}\n")
+ print(f" Prompt: {prompt_path.name} → .factory/strategy/current.md", file=sys.stderr)
+ return content
+
+
+def _resolve_focus_issue(
+ focus: str, project_path: Path,
+) -> tuple[str, str, int, str] | None:
+ """If *focus* looks like an issue ref, fetch it and return (title, context, number, url).
+
+ Returns ``None`` when *focus* is a plain backlog-item name.
+ Callers must check ``--no-github`` *before* calling this function.
+ """
+ from factory.issue import is_issue_ref
+
+ if not is_issue_ref(focus):
+ return None
+
+ from factory.issue import fetch_issue, format_issue_as_spec
+
+ issue_spec = fetch_issue(focus, project_path)
+ context = format_issue_as_spec(issue_spec)
+
+ strategy_dir = project_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "current.md").write_text(
+ f"## Project Specification\n\n{context}\n"
+ )
+ print(
+ f" Issue: #{issue_spec.number} → .factory/strategy/current.md",
+ file=sys.stderr,
+ )
+ return issue_spec.title, context, issue_spec.number, issue_spec.url
+
+
+def _resolve_focus_issues(
+ focus: str,
+ project_path: Path,
+) -> list[tuple[str, str, int, str]] | None:
+ """If *focus* contains one or more issue refs, fetch each and return a list of results.
+
+ Each element is ``(title, context, number, url)``. All specs are concatenated
+ and written to ``.factory/strategy/current.md``. Returns ``None`` when *focus*
+ is plain text with no issue refs.
+ """
+ from factory.issue import parse_multi_issue_refs
+
+ refs = parse_multi_issue_refs(focus)
+ if not refs:
+ return None
+
+ from factory.issue import fetch_issue, format_issue_as_spec
+
+ results: list[tuple[str, str, int, str]] = []
+ spec_parts: list[str] = []
+ for ref in refs:
+ issue_spec = fetch_issue(ref, project_path)
+ context = format_issue_as_spec(issue_spec)
+ results.append((issue_spec.title, context, issue_spec.number, issue_spec.url))
+ spec_parts.append(context)
+
+ strategy_dir = project_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ separator = "\n\n---\n\n"
+ combined = separator.join(spec_parts)
+ (strategy_dir / "current.md").write_text(f"## Project Specification\n\n{combined}\n")
+ issue_labels = ", ".join(f"#{r[2]}" for r in results)
+ print(
+ f" Issues: {issue_labels} → .factory/strategy/current.md",
+ file=sys.stderr,
+ )
+ return results
+
+
+def _derive_session_name(
+ *,
+ focus: str | None = None,
+ design_idea: str | None = None,
+ research_ideation: str | None = None,
+ raw_path: str | None = None,
+ project_path: Path,
+ mode: str = "improve",
+) -> str:
+ """Derive a human-readable session name from the best available context."""
+ prefix = "factory: "
+ max_len = 60
+
+ if focus:
+ label = focus.lower()[:max_len - len(prefix)]
+ return f"{prefix}{label}"
+
+ idea = design_idea or research_ideation
+ if idea:
+ desc = _extract_short_description(idea)
+ if desc:
+ return f"{prefix}{desc}"[:max_len]
+
+ if raw_path and not _safe_is_dir(Path(raw_path).expanduser()) \
+ and not _safe_is_file(Path(raw_path).expanduser()) \
+ and not _is_github_url(raw_path):
+ desc = _extract_short_description(raw_path)
+ if desc:
+ return f"{prefix}{desc}"[:max_len]
+
+ proj_name = project_path.resolve().name
+ return f"{prefix}{mode} {proj_name}"[:max_len]
+
+
+def _resolve_plan_source(from_plan: str, project_path: Path) -> PlanSource:
+ """Resolve a plan source to a :class:`PlanSource`.
+
+ Resolution order:
+ 1. Issue ref (URL, number, owner/repo#N) → fetch issue body + thread comments
+ 2. Local file path → read file content (no feedback)
+ 3. Fuzzy search → ``gh issue list --label plan --search`` → pick top result
+ """
+ from factory.issue import is_issue_ref
+
+ if is_issue_ref(from_plan):
+ return _fetch_plan_from_issue(from_plan, project_path)
+
+ plan_path = Path(from_plan).expanduser()
+ if not plan_path.is_absolute():
+ plan_path = project_path / plan_path
+ if plan_path.is_file():
+ content = plan_path.read_text().strip()
+ if not content:
+ print(f"Error: plan file is empty: {plan_path}", file=sys.stderr)
+ sys.exit(1)
+ print(f" Plan: {plan_path.name} → .factory/strategy/current.md", file=sys.stderr)
+ return PlanSource(plan=content, feedback=[], source=plan_path.name)
+
+ return _fuzzy_search_plan(from_plan, project_path)
+
+
+def _fetch_plan_from_issue(ref: str, project_path: Path) -> PlanSource:
+ """Fetch a GitHub issue body as plan content and comments as thread feedback."""
+ from factory.issue import fetch_issue, parse_issue_ref
+
+ issue = fetch_issue(ref, project_path)
+ forge, owner_repo, number = parse_issue_ref(ref, project_path)
+
+ plan_body = issue.body or ""
+ feedback: list[str] = []
+
+ if forge == "github":
+ try:
+ import json as _json
+
+ result = subprocess.run(
+ ["gh", "api", f"repos/{owner_repo}/issues/{number}/comments",
+ "--jq", "[.[].body]"],
+ capture_output=True, text=True, check=True,
+ )
+ comments = _json.loads(result.stdout)
+ for comment_body in comments:
+ if comment_body and comment_body.strip():
+ feedback.append(comment_body.strip())
+ except (subprocess.CalledProcessError, FileNotFoundError, ValueError):
+ log.debug("plan_comments_fetch_failed", ref=ref)
+
+ if not plan_body.strip():
+ print(f"Error: issue #{number} has no content", file=sys.stderr)
+ sys.exit(1)
+
+ print(f" Plan: issue #{number} → .factory/strategy/current.md", file=sys.stderr)
+ return PlanSource(plan=plan_body, feedback=feedback, source=f"issue #{number}")
+
+
+def _fuzzy_search_plan(query: str, project_path: Path) -> PlanSource:
+ """Search GitHub issues with the 'plan' label for a matching plan."""
+ from factory.issue import infer_remote
+
+ try:
+ forge, owner_repo = infer_remote(project_path)
+ except RuntimeError:
+ print(
+ f"Error: no git remote found and '{query}' is not a file or issue ref. "
+ "Cannot search for plans.",
+ file=sys.stderr,
+ )
+ sys.exit(1)
+
+ if forge != "github":
+ print(
+ f"Error: fuzzy plan search is only supported for GitHub repos, not {forge}.",
+ file=sys.stderr,
+ )
+ sys.exit(1)
+
+ try:
+ result = subprocess.run(
+ ["gh", "issue", "list", "-R", owner_repo, "--label", "plan",
+ "--search", query, "--json", "number,title", "--limit", "1"],
+ capture_output=True, text=True, check=True,
+ )
+ except (subprocess.CalledProcessError, FileNotFoundError) as exc:
+ print(f"Error: failed to search for plans: {exc}", file=sys.stderr)
+ sys.exit(1)
+
+ import json
+
+ issues = json.loads(result.stdout)
+ if not issues:
+ print(
+ f"Error: no plan issues found matching '{query}' in {owner_repo}",
+ file=sys.stderr,
+ )
+ sys.exit(1)
+
+ top = issues[0]
+ print(
+ f" Plan: matched issue #{top['number']} ({top['title']})",
+ file=sys.stderr,
+ )
+ return _fetch_plan_from_issue(str(top["number"]), project_path)
+
+
+def _has_research_target(project_path: Path) -> bool:
+ """Check if project already has research_target configured."""
+ import json
+
+ from factory.cli._helpers import _run
+
+ try:
+ from factory.store import ExperimentStore
+ config = _run(ExperimentStore(project_path).read_config())
+ return config.research_target is not None
+ except (FileNotFoundError, json.JSONDecodeError, ValueError, KeyError):
+ return False
diff --git a/factory/cli/_task_builder.py b/factory/cli/_task_builder.py
new file mode 100644
index 000000000..2e1a3b9ea
--- /dev/null
+++ b/factory/cli/_task_builder.py
@@ -0,0 +1,509 @@
+"""Build the CEO agent task string from mode and optional context."""
+
+from __future__ import annotations
+
+import re as _re
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+ from factory.messages import Message
+
+
+def _slug(desc: str) -> str:
+ slug = _re.sub(r"[^a-z0-9]+", "-", desc.lower().strip())
+ return slug.strip("-")[:40]
+
+
+def _mode_suffix(mode: str, discover_only: bool) -> str:
+ _SIMPLE_MODE_SUFFIXES = {
+ "build": (
+ "\n\nRun Build mode: the project is new or incomplete. Run the Plan Loop "
+ "(P0-P3) to produce an approved build plan, then follow the Build pipeline "
+ "(B3-B6): Build phases → E2E verification. "
+ "Do NOT skip to Improve mode — the project needs to be built first. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "meta": (
+ "\n\nRun Meta mode: full self-improvement. First, run the complete Improve loop "
+ "on this project (experiments, keep/revert decisions). Then run ACE playbook "
+ "evolution for all agent roles using cross-project experiment data. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "research": (
+ "\n\nRun Research mode: the project has a research target defined in factory.md. "
+ "Read the research_target from config.json to understand the objective, metric, "
+ "target value, and run command. Each cycle: form a hypothesis to improve the "
+ "metric, implement the change within mutable_surfaces only (leave fixed_surfaces "
+ "untouched), run the research command, compare results against the target, and "
+ "make a keep/revert decision. Respect research_constraints and cost_budget. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "create": (
+ "\n\nRun Create mode: this mode creates a new factory mode (workflow + skill + "
+ "CLI wiring + tests) from the user's description above. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "founder": (
+ "\n\nRun Founder mode: rapid prototyping — one hypothesis, one build, "
+ "minimal verification. Pick the highest-leverage idea, prototype it fast, "
+ "run tests once. No research, no code review, no adversarial QA, no eval "
+ "scoring. Record the experiment and stop. This is NOT production-quality — "
+ "run --mode improve afterward to harden what works. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "deep-research": (
+ "\n\nRun Deep Research mode: single-agent iterative research with coverage checking. "
+ "The workflow runs Study → deep_researcher (single agent with internal iteration) → "
+ "CEO coverage gate. "
+ "The researcher performs multiple rounds of WebSearch/WebFetch internally, "
+ "following an inside-out protocol: internal project state first, then external "
+ "search shaped by internal findings. Includes faithfulness checks every iteration. "
+ "The coverage gate is a safety net — it should almost always PROCEED. "
+ "The mode outputs only research-combined.md. "
+ "If --focus is provided, it defines the research topic. Otherwise, research the "
+ "project's domain broadly. Terminal mode — does not chain to build or improve. "
+ "The full step-by-step playbook is in your system prompt above."
+ ),
+ "study": (
+ "\n\nRun Study mode: analyze the codebase structure and dependency graph. "
+ "Update the code knowledge graph, then run factory study for observations "
+ "with structural graph context included. "
+ "Terminal mode — does not chain to other modes."
+ ),
+ }
+ if mode == "discover":
+ if discover_only:
+ return (
+ "\n\nRun Discover mode: introspect the project, auto-detect eval dimensions, "
+ "and generate the eval harness. Then complete Review mode to initialize the "
+ "factory. Do NOT run the Improve loop."
+ )
+ return (
+ "\n\nRun Discover mode: introspect the project, auto-detect eval dimensions, "
+ "and generate the eval harness. Then complete Review mode: verify the eval "
+ "harness works, mark as reviewed, and initialize the factory. "
+ "After initialization, proceed to Improve mode for one experiment cycle."
+ )
+ if mode in _SIMPLE_MODE_SUFFIXES:
+ return _SIMPLE_MODE_SUFFIXES[mode]
+ return (
+ f"\n\nRun {mode} mode. Follow the step-by-step playbook in your system prompt "
+ f"exactly as written — do not add additional steps, research, or ceremony "
+ f"beyond what the playbook describes."
+ )
+
+
+def _append_focus_directive(
+ focus: str | None,
+ mode: str,
+ create_description: str | None,
+ issue_numbers: list[int] | None,
+ issue_urls: list[str] | None,
+ issue_number: int | None,
+ issue_url: str | None,
+) -> str:
+ if not focus or create_description or mode == "deep-research":
+ return ""
+ _issue_numbers = issue_numbers or []
+ _issue_urls = issue_urls or []
+ result = f"\n\n## Focus Directive (Targeted Mode)\n\nTarget: {focus}\n\n"
+ if _issue_numbers:
+ issue_labels = []
+ for i, num in enumerate(_issue_numbers):
+ label = f"#{num}"
+ if i < len(_issue_urls) and _issue_urls[i]:
+ label += f" ({_issue_urls[i]})"
+ issue_labels.append(label)
+ result += (
+ f"These targets are from issues {', '.join(issue_labels)}. "
+ f"All issue specs have been written to `.factory/strategy/current.md`. "
+ f"Read it for the complete requirements.\n\n"
+ )
+ elif issue_number:
+ issue_label = f"#{issue_number}"
+ if issue_url:
+ issue_label += f" ({issue_url})"
+ result += (
+ f"This target is from issue {issue_label}. "
+ f"The full issue spec has been written to `.factory/strategy/current.md`. "
+ f"Read it for the complete requirements.\n\n"
+ )
+ result += (
+ "Single-item mode. This target has been added to the backlog. "
+ "The Strategist must generate exactly ONE hypothesis for this item. "
+ "No other hypotheses this cycle — no additional backlog clearing, no new items.\n"
+ "After this single experiment completes (keep or revert), skip to final archival. "
+ "Do not loop back for more hypotheses.\n"
+ )
+ if _issue_numbers:
+ nums_str = ", ".join(f"#{n}" for n in _issue_numbers)
+ finalize_flags = " ".join(f"--issue {n}" for n in _issue_numbers)
+ result += (
+ f"\n## Issue Tracking\n\n"
+ f"This cycle is working on issues {nums_str}. "
+ f"When finalizing, pass `{finalize_flags}` to `factory finalize`."
+ )
+ elif issue_number:
+ result += (
+ f"\n## Issue Tracking\n\n"
+ f"This cycle is working on issue #{issue_number}. "
+ f"When finalizing, pass `--issue {issue_number}` to `factory finalize`."
+ )
+ return result
+
+
+def _append_deep_research_topic(task: str, focus: str) -> str:
+ return task + (
+ f"\n\n## Research Topic\n\n"
+ f"**Topic:** {focus}\n\n"
+ f"Focus all research on this specific topic. The deep researcher investigates "
+ f"this topic using the inside-out protocol: internal project context first, "
+ f"then targeted external search. The coverage gate evaluates completeness "
+ f"against this topic.\n"
+ )
+
+
+def _build_ceo_task(
+ project_path: Path,
+ mode: str,
+ context: str | None = None,
+ focus: str | None = None,
+ prompt_file: str | None = None,
+ min_growth: int | None = None,
+ max_new: int | None = None,
+ branch: str | None = None,
+ discover_only: bool = False,
+ no_github: bool = False,
+ design_idea: str | None = None,
+ design_existing: bool = False,
+ research_ideation: str | None = None,
+ messages: list[Message] | None = None,
+ issue_number: int | None = None,
+ issue_url: str | None = None,
+ issue_numbers: list[int] | None = None,
+ issue_urls: list[str] | None = None,
+ refine_request: str | None = None,
+ clean_pr: bool = False,
+ display_mode: str | None = None,
+ create_description: str | None = None,
+ update_existing_mode: str | None = None,
+ plugin_mode: bool = False,
+ plugin_folder: str | None = None,
+ from_plan: str | None = None,
+ from_plan_feedback: list[str] | None = None,
+ just_plan: bool = False,
+) -> str:
+ """Build the CEO agent task string from mode and optional context."""
+ shown_mode = display_mode if display_mode is not None else mode
+ task = f"Project: {project_path}\nMode: {shown_mode}"
+
+ if messages:
+ task += "\n\n## User Messages\n"
+ task += "The user has sent the following directives. Treat these as HIGH PRIORITY:\n\n"
+ for msg in messages:
+ ts = msg.timestamp.strftime("%Y-%m-%d %H:%M:%S")
+ task += f"**[{ts}]** {msg.text}\n\n"
+
+ if from_plan:
+ task += (
+ "\n\n## Plan Loop (From Existing Plan)\n\n"
+ "An existing plan has been loaded via `--from-plan`.\n"
+ "The plan content is at `.factory/strategy/current.md`.\n\n"
+ "**Skip the Research phase.** But DO run the Strategist in reconciliation mode.\n\n"
+ )
+ if from_plan_feedback:
+ task += (
+ "Thread feedback exists (saved at `.factory/strategy/thread-feedback.md`):\n\n"
+ "1. Read the plan at `.factory/strategy/current.md`\n"
+ "2. Read the thread feedback at `.factory/strategy/thread-feedback.md`\n"
+ "3. Run the Strategist with task: "
+ "'Reconcile this plan with the following thread feedback. "
+ "Update the plan to address the feedback. "
+ "Write the reconciled plan to .factory/strategy/current.md.'\n"
+ "4. Present the RECONCILED plan to the user for approval\n"
+ "5. On approval → proceed to Builder\n\n"
+ )
+ else:
+ task += (
+ "No thread feedback exists.\n\n"
+ "1. Read the plan at `.factory/strategy/current.md`\n"
+ "2. Present it to the user for approval (no Strategist needed)\n"
+ "3. On approval → proceed to Builder\n\n"
+ )
+ task += (
+ "Do NOT run parallel researchers. Do NOT regenerate the plan from scratch. "
+ "The plan content has already been resolved and persisted.\n"
+ )
+ elif just_plan:
+ task += (
+ "\n\n## Plan Loop (Just Plan)\n\n"
+ "**just_plan: true**\n\n"
+ "Run the full Plan mode workflow: research + strategy + approval + GitHub publish.\n\n"
+ "1. Check for prior plans (GitHub issues with plan label, .factory/archive/)\n"
+ "2. Run 3 parallel researchers (domain, practices, constraints)\n"
+ "3. CEO review gate\n"
+ "4. Strategist synthesizes phased plan\n"
+ "5. Single user approval gate: Keep this plan?\n"
+ "6. On approval: publish to GitHub + seed backlog\n\n"
+ "Terminal mode — do NOT transition to build or improve.\n"
+ "\n### Post-Approval: GitHub Publish (MANDATORY)\n\n"
+ "After the user approves the plan, you MUST:\n\n"
+ "1. Create the plan label if it does not exist: "
+ '`gh label create plan --description "Approved plan" --color 0366d6 --force`\n'
+ "2. If --focus targets a GitHub issue number, post the plan as a comment on that issue "
+ "and add the plan label:\n"
+ " - `gh issue comment <NUMBER> --body-file .factory/strategy/current.md`\n"
+ " - `gh issue edit <NUMBER> --add-label plan`\n"
+ "3. Otherwise, create a new issue with the plan label:\n"
+ ' - `gh issue create --title "Plan: <focus>" --body-file .factory/strategy/current.md --label plan`\n'
+ "4. Seed the backlog: extract phase headers from current.md and append to backlog.md\n\n"
+ "Do NOT skip this step. Do NOT exit without publishing.\n"
+ )
+ elif design_existing:
+ task += (
+ f"\n\n## Plan Loop (Interactive)\n\n"
+ f"**existing_project: true**\n\n"
+ f"You are in interactive planning mode on an **existing project** at `{project_path}`.\n\n"
+ f"Run the Plan Loop (P0-P3) with interactive approval. Research the project "
+ f"(local study + external best practices), synthesize an improvement spec "
+ f"through user feedback. After you approve the plan at the strategy gate, the workflow continues to implementation automatically.\n\n"
+ )
+ if focus:
+ task += (
+ f"**Focus topic (from --focus):** {focus}\n\n"
+ f"The user wants to discuss this specific topic. Use it to seed the "
+ f"research and spec, but be open to the user redirecting.\n"
+ )
+ else:
+ task += (
+ "No specific topic was provided. Study the project broadly — "
+ "look at the backlog, eval scores, open issues, and recent history — "
+ "then present your findings and recommendations.\n"
+ )
+ elif design_idea:
+ task += (
+ f"\n\n## Plan Loop (Interactive)\n\n"
+ f"**Raw idea from user:** {design_idea}\n\n"
+ f"Run the Plan Loop (P0-P3) with interactive approval. "
+ f"Research the space, synthesize a build plan, and refine it "
+ f"through user feedback before building.\n\n"
+ f"After you approve the plan at the strategy gate, persist it to "
+ f".factory/strategy/current.md — the workflow continues to "
+ f"implementation automatically.\n"
+ )
+
+ if research_ideation:
+ task += (
+ f"\n\n## Plan Loop (Interactive)\n\n"
+ f"**Raw idea from user:** {research_ideation}\n\n"
+ f"**research_project: true**\n\n"
+ f"Run the Plan Loop (P0-P3) with interactive approval. "
+ f"This is a research project — the Strategist MUST collect research configuration:\n"
+ f"- Research Target (objective, metric, target value, run_command, result_path)\n"
+ f"- Mutable Surfaces (files the Builder can modify)\n"
+ f"- Fixed Surfaces (ground truth / eval files that must never be touched)\n"
+ f"- Research Constraints (additional rules)\n"
+ f"- Cost Budget (optional)\n\n"
+ f"After the user approves, persist the spec AND the research "
+ f"config to .factory/strategy/current.md, then proceed to Build mode. "
+ f"During Review mode (factory.md creation), populate the research sections "
+ f"from the approved spec.\n"
+ )
+
+ if create_description and update_existing_mode:
+ task += (
+ f"\n\n## Create Mode (Update Existing Mode)\n\n"
+ f"**Target mode:** {update_existing_mode}\n"
+ f"**Requested changes:** {create_description}\n\n"
+ f"You are updating an EXISTING factory workflow mode, not creating a new one.\n\n"
+ f"**Before making any changes:**\n"
+ f"1. Read the existing workflow definition: `factory workflow show {update_existing_mode}`\n"
+ f"2. Read the current SKILL.md: `cat skills/workflow-{update_existing_mode}/SKILL.md`\n"
+ f"3. Understand the current behavior before modifying it.\n\n"
+ f"**After implementing changes, verify ALL 20 registration points:**\n"
+ f"1. `factory workflow validate {update_existing_mode}` passes (exit 0)\n"
+ f"2. `factory workflow show {update_existing_mode}` reflects the changes\n"
+ f"3. `factory workflow export-skills --verify` succeeds\n"
+ f"4. SKILL.md under skills/workflow-{update_existing_mode}/ is regenerated\n"
+ f"5. WORKFLOW_META description in skill_export.py is still accurate\n"
+ f"6. CLI help text (factory ceo --help) still lists the mode correctly\n"
+ f"7. register_all() entry still resolves\n"
+ f"8. CycleState.mode Literal in models.py still includes the mode\n"
+ f"9. CEO_MODES and RUN_MODES in _helpers.py still include the mode\n"
+ f"10. CEO prompt (ceo.md) mode detection table is still correct\n"
+ f"11. All existing tests for this mode still pass\n"
+ f"12. No import errors in any factory module\n"
+ f"13. __all__ in definitions.py still exports the workflow function\n"
+ f"14. factory/workflow/registry.py resolves the mode\n"
+ f"15. factory/skill_cache.py will auto-invalidate (no action needed, but verify)\n"
+ f"16. CLAUDE.md mentions the mode correctly\n"
+ f"17. workflow/README.md references are accurate\n"
+ f"18. Trigger function still returns True for the correct context\n"
+ f"19. Start node is still valid and reachable from all edges\n\n"
+ f"Follow the Create workflow playbook in skills/workflow-create/SKILL.md.\n"
+ )
+ elif create_description and plugin_mode:
+ folder = plugin_folder if plugin_folder else f"./{_slug(create_description)}-plugin"
+ task += (
+ f"\n\n## Create Mode (Plugin Package)\n\n"
+ f"**Mode description from user:**\n{create_description}\n\n"
+ f"**plugin_mode:** true\n"
+ f"**output_folder:** {folder}\n\n"
+ f"You are creating a PLUGIN workflow — a standalone pip-installable package.\n\n"
+ f"**Package structure:**\n"
+ f"```\n"
+ f"{folder}/\n"
+ f"├── pyproject.toml # Package metadata + entry point\n"
+ f"├── README.md # Installation and usage instructions\n"
+ f"└── <mode_name>.py # Workflow definition + registration\n"
+ f"```\n\n"
+ f"**pyproject.toml requirements:**\n"
+ f"- Build system: hatchling\n"
+ f"- Package name: `factory-<mode-name>-workflow`\n"
+ f"- Version: `0.1.0`\n"
+ f"- `requires-python = '>=3.11'`\n"
+ f"- Dependencies: `['remote-factory']` (no version pin)\n"
+ f"- Entry point group: `[project.entry-points.'factory.plugins']`\n"
+ f"- Entry point value: `<mode_name> = '<mode_name>:register_plugin'`\n\n"
+ f"**Workflow file (`<mode_name>.py`) requirements:**\n"
+ f"- `meta` dict with `name` and `description` keys\n"
+ f"- `workflow()` function returning a `Workflow` object\n"
+ f"- `register_plugin(registry)` function that calls:\n"
+ f" - `registry.add_modes([meta['name']])`\n"
+ f" - `registry.add_workflow_search_path(str(Path(__file__).parent))`\n"
+ f"- Only import from `factory.workflow.primitives` and stdlib\n"
+ f"- NO imports from other factory internals\n\n"
+ f"**README.md content:**\n"
+ f"- Project description\n"
+ f"- Installation: `pip install -e {folder}/`\n"
+ f"- Usage: `factory ceo /path/to/project --mode <mode-name>`\n"
+ f"- Verification: `factory workflow list`, `factory workflow validate <name>`\n\n"
+ f"**Verification steps (Builder MUST run all):**\n"
+ f"1. Create the output directory: `mkdir -p {folder}`\n"
+ f"2. Write `pyproject.toml` with correct entry point\n"
+ f"3. Write `<mode_name>.py` with `meta` + `workflow()` + `register_plugin()`\n"
+ f"4. Write `README.md` with installation instructions\n"
+ f"5. Install locally: `pip install -e {folder}/`\n"
+ f"6. Verify discovery: `factory workflow list` (should show the new mode)\n"
+ f"7. Validate graph: `factory workflow validate <mode-name>`\n"
+ f"8. Clean up: `pip uninstall -y factory-<mode-name>-workflow`\n\n"
+ f"**Constraints:**\n"
+ f"- Do NOT modify `factory/workflow/definitions.py` or any upstream factory files\n"
+ f"- Do NOT use `src/` layout — flat layout with workflow `.py` at package root\n"
+ f"- Do NOT `git init` the output directory\n"
+ f"- Do NOT commit the plugin to the factory repo or open a PR — "
+ f"the plugin package stays in the output directory as a standalone artifact\n"
+ f"- Do NOT include a `tests/` directory (users can add their own later)\n\n"
+ f"Follow the Create workflow playbook in skills/workflow-create/SKILL.md.\n"
+ )
+
+ elif create_description:
+ task += (
+ f"\n\n## Create Mode (New Factory Mode)\n\n"
+ f"**Mode description from user:**\n{create_description}\n\n"
+ f"You are in Create mode — a meta-mode for creating new factory modes.\n\n"
+ f"Follow the Create workflow playbook in your system prompt:\n"
+ f"1. Research existing workflow patterns and the user's intent\n"
+ f"2. Synthesize a complete workflow specification\n"
+ f"3. Present the spec to the user for interactive approval\n"
+ f"4. Implement: workflow definition, SKILL.md, CLI wiring, tests\n"
+ f"5. QA verification (graph validates, SKILL.md generates, CLI recognizes mode)\n"
+ f"6. Open PR for review\n\n"
+ f"The implementation targets THIS project (the factory codebase). "
+ f"Key files to modify: factory/workflow/definitions.py, "
+ f"factory/workflow/skill_export.py, factory/cli.py, tests/.\n"
+ )
+
+ if prompt_file:
+ task += (
+ f"\n\n## Directive\n\n"
+ f"The user has provided a specific prompt file (`{prompt_file}`) as the build spec. "
+ f"This is your primary instruction — read it at `.factory/strategy/current.md` and "
+ f"execute exactly what it describes. Do not infer or improvise beyond what the prompt asks for."
+ )
+
+ if mode == "deep-research" and focus:
+ task = _append_deep_research_topic(task, focus)
+
+ task += _append_focus_directive(
+ focus,
+ mode,
+ create_description,
+ issue_numbers,
+ issue_urls,
+ issue_number,
+ issue_url,
+ )
+
+ if branch:
+ task += (
+ f"\n\n## Branch Override\n\n"
+ f"Target branch for all PRs and merges: `{branch}`\n"
+ f"The Builder should create experiment branches from `{branch}` and "
+ f"target PRs against `{branch}`. After revert, checkout `{branch}` instead of main.\n"
+ )
+
+ if any(v is not None for v in (min_growth, max_new)):
+ budget_lines = ["\n\n## Budget Override\n"]
+ budget_lines.append("The user has overridden the hypothesis budget for this run:")
+ if min_growth is not None:
+ budget_lines.append(f"- **min_growth:** {min_growth} (guaranteed growth hypotheses)")
+ if max_new is not None:
+ budget_lines.append(
+ f"- **max_new:** {max_new} (max new items added to backlog per cycle)"
+ )
+ budget_lines.append("")
+ budget_lines.append(
+ "Pass these overrides to the Strategist. They take precedence over "
+ "factory.md defaults and study-computed values."
+ )
+ task += "\n".join(budget_lines)
+
+ if context:
+ task += f"\n\n## Project Specification\n\n{context}"
+
+ task += _mode_suffix(mode, discover_only)
+
+ if no_github:
+ task += (
+ "\n\n## GitHub Operations Disabled\n\n"
+ "The user has passed --no-github. Do NOT:\n"
+ "- Create issues on GitHub\n"
+ "- Create or post pull requests\n"
+ "- Push to remote repositories\n"
+ "- Clone from GitHub URLs\n\n"
+ "Work locally only. When a GitHub operation would normally occur, "
+ "skip it and note what was skipped in the experiment log."
+ )
+
+ if refine_request:
+ task += (
+ f"\n\n## Refinement Mode\n\n"
+ f"**User's refinement request:** {refine_request}\n\n"
+ f"You are in Refinement mode. Follow the `Mode: Refine` section in your "
+ f"system prompt. The pipeline is:\n\n"
+ f"1. Spawn the Refiner agent to classify and scope the request\n"
+ f"2. If Tier 3 → exit, tell user to use full Improve mode\n"
+ f"3. Begin experiment, create GitHub issue from Refiner's scoped task\n"
+ f"4. Spawn Builder with the Refiner's task description\n"
+ f"5. Run the FULL review pipeline (2d-review through 2h-final) — identical to Improve mode\n"
+ f"6. Keep/revert verdict + finalize\n"
+ f"7. Archivist (single batch)\n\n"
+ f"Do NOT skip the review pipeline. Do NOT abbreviate any step.\n"
+ )
+
+ if clean_pr:
+ task += (
+ "\n\n## Clean PR Mode\n\n"
+ "Clean PR mode is ACTIVE. After the final review gate (2h-final), "
+ "run step 2i-clean before marking the PR ready:\n\n"
+ "```bash\n"
+ "factory clean-pr $PROJECT_PATH --exp $EXP_ID\n"
+ "```\n\n"
+ "This strips non-essential artifacts (eval scripts, benchmarks, .factory files) "
+ "from the PR while preserving the full diff in the experiment archive. "
+ "If stripping breaks tests, fall back to the full diff.\n"
+ )
+
+ return task
diff --git a/factory/cli/_tmux_commands.py b/factory/cli/_tmux_commands.py
new file mode 100644
index 000000000..30830e86c
--- /dev/null
+++ b/factory/cli/_tmux_commands.py
@@ -0,0 +1,335 @@
+"""CLI tmux integration — session management for factory in detached tmux."""
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import os
+import shlex
+import subprocess
+import structlog
+import sys
+import time
+from datetime import datetime
+from pathlib import Path
+
+from factory.cli._mode_handlers import _resolve_model
+
+log = structlog.get_logger()
+
+_TMUX_SESSION_PREFIX = "factory-"
+
+_TMUX_SESSIONS_FILE = Path("~/.factory/tmux_sessions.json").expanduser()
+
+
+def _tmux_session_name(project_path: Path) -> str:
+ """Derive a tmux session name from a project path."""
+ path_hash = hashlib.sha1(str(project_path).encode()).hexdigest()[:6]
+ return f"{_TMUX_SESSION_PREFIX}{project_path.name}-{path_hash}"
+
+
+def _load_tmux_session_mapping() -> dict[str, str]:
+ """Load the session->project mapping from ~/.factory/tmux_sessions.json."""
+ if _TMUX_SESSIONS_FILE.exists():
+ try:
+ return json.loads(_TMUX_SESSIONS_FILE.read_text())
+ except (json.JSONDecodeError, OSError):
+ pass
+ return {}
+
+
+def _save_tmux_session_mapping(session: str, project_path: str) -> None:
+ """Save a session->project mapping entry to ~/.factory/tmux_sessions.json."""
+ mapping = _load_tmux_session_mapping()
+ mapping[session] = project_path
+ _TMUX_SESSIONS_FILE.parent.mkdir(parents=True, exist_ok=True)
+ _TMUX_SESSIONS_FILE.write_text(json.dumps(mapping, indent=2))
+
+
+def _tmux_available() -> bool:
+ """Check if tmux is installed."""
+ try:
+ subprocess.run(["tmux", "-V"], capture_output=True, check=True)
+ return True
+ except (FileNotFoundError, subprocess.CalledProcessError):
+ return False
+
+
+def _tmux_session_alive(session: str) -> bool:
+ """Check if a tmux session exists and is alive."""
+ return subprocess.run(
+ ["tmux", "has-session", "-t", session],
+ capture_output=True,
+ ).returncode == 0
+
+
+def _build_tmux_run_args(args: argparse.Namespace, project_path: Path, model: str | None) -> str:
+ """Build the 'factory ceo ...' command string from parsed args."""
+ parts = [f"factory ceo {project_path}"]
+ if args.mode:
+ parts.append(f"--mode {args.mode}")
+ if model:
+ parts.append(f"--model {shlex.quote(model)}")
+ if getattr(args, "no_github", False):
+ parts.append("--no-github")
+ if getattr(args, "profile", None):
+ parts.append(f"--profile {shlex.quote(args.profile)}")
+ if getattr(args, "focus", None):
+ parts.append(f"--focus {shlex.quote(args.focus)}")
+ if getattr(args, "refine", None):
+ parts.append(f"--refine {shlex.quote(args.refine)}")
+ if getattr(args, "clean_pr", None) is True:
+ parts.append("--clean-pr")
+ elif getattr(args, "clean_pr", None) is False:
+ parts.append("--no-clean-pr")
+ if getattr(args, "runner", None):
+ parts.append(f"--runner {shlex.quote(args.runner)}")
+ if getattr(args, "prompt", None):
+ parts.append(f"--prompt {shlex.quote(args.prompt)}")
+ if getattr(args, "branch", None):
+ parts.append(f"--branch {shlex.quote(args.branch)}")
+ if getattr(args, "min_growth", None) is not None:
+ parts.append(f"--min-growth {args.min_growth}")
+ if getattr(args, "max_new", None) is not None:
+ parts.append(f"--max-new {args.max_new}")
+ if getattr(args, "discover_only", False):
+ parts.append("--discover-only")
+ if getattr(args, "bg_agents", False):
+ parts.append("--bg-agents")
+ if getattr(args, "tmux_persist", False):
+ parts.append("--tmux-persist")
+ if getattr(args, "use_profile", False):
+ parts.append("--use-profile")
+ if getattr(args, "overwrite", None):
+ parts.append(f"--overwrite {shlex.quote(args.overwrite)}")
+ engine = getattr(args, "engine", "skill")
+ if engine != "skill":
+ parts.append(f"--engine {engine}")
+ return " ".join(parts)
+
+
+def cmd_tmux(args: argparse.Namespace) -> int:
+ """Launch factory run inside a detached tmux session."""
+ if not _tmux_available():
+ print("Error: tmux is not installed.", file=sys.stderr)
+ return 1
+
+ project_path = Path(args.path).resolve()
+ session = args.session or _tmux_session_name(project_path)
+
+ check = subprocess.run(
+ ["tmux", "has-session", "-t", session],
+ capture_output=True,
+ )
+ if check.returncode == 0:
+ if args.attach:
+ print(f"Attaching to existing session: {session}")
+ os.execvp("tmux", ["tmux", "attach-session", "-t", session])
+ print(f"Session '{session}' already running. Use --attach or:")
+ print(f" tmux attach -t {session}")
+ return 0
+
+ _ENV_PREFIXES = ("FACTORY_", "ANTHROPIC_", "OPENAI_", "CLAUDE_CODE_", "CLOUD_ML_")
+ run_cmd_parts = []
+ for key, val in sorted(os.environ.items()):
+ if key.startswith(_ENV_PREFIXES):
+ run_cmd_parts.append(f"export {key}={shlex.quote(val)}")
+ run_cmd_parts.append(f"export PATH={shlex.quote(os.environ.get('PATH', '/usr/bin'))}")
+
+ model = _resolve_model(args)
+ run_args = _build_tmux_run_args(args, project_path, model)
+ run_cmd_parts.append(run_args)
+ shell_cmd = " && ".join(run_cmd_parts)
+
+ result = subprocess.run(
+ ["tmux", "new-session", "-d", "-s", session, "-x", "200", "-y", "50", shell_cmd],
+ )
+ if result.returncode != 0:
+ print(f"Error: failed to create tmux session '{session}'", file=sys.stderr)
+ return 1
+
+ _save_tmux_session_mapping(session, str(project_path))
+
+ time.sleep(3)
+
+ if not _tmux_session_alive(session):
+ print(f"Error: session '{session}' exited immediately after launch", file=sys.stderr)
+ return 1
+
+ capture = subprocess.run(
+ ["tmux", "capture-pane", "-t", session, "-p"],
+ capture_output=True,
+ text=True,
+ )
+ if capture.returncode == 0:
+ pane_text = capture.stdout
+ _error_markers = ("Error:", "exited", "no server")
+ if any(marker in pane_text for marker in _error_markers):
+ log.warning("tmux_post_dispatch_warning", session=session)
+ print(f"Warning: session '{session}' may have errors:", file=sys.stderr)
+ for line in pane_text.strip().splitlines()[-10:]:
+ print(f" {line}", file=sys.stderr)
+
+ print(f"Factory launched in tmux session: {session}")
+ print(f" tmux attach -t {session} # attach")
+ print(f" tmux kill-session -t {session} # stop")
+
+ if args.attach:
+ os.execvp("tmux", ["tmux", "attach-session", "-t", session])
+
+ return 0
+
+
+def cmd_tmux_ls(args: argparse.Namespace) -> int:
+ """List running factory tmux sessions."""
+ if not _tmux_available():
+ print("Error: tmux is not installed.", file=sys.stderr)
+ return 1
+
+ result = subprocess.run(
+ ["tmux", "list-sessions", "-F", "#{session_name}\t#{session_created}\t#{session_windows}"],
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode != 0:
+ print("No tmux sessions running.")
+ return 0
+
+ mapping = _load_tmux_session_mapping()
+ factory_sessions = []
+ for line in result.stdout.strip().splitlines():
+ parts = line.split("\t")
+ name = parts[0]
+ if name.startswith(_TMUX_SESSION_PREFIX):
+ created = datetime.fromtimestamp(int(parts[1])).strftime("%Y-%m-%d %H:%M") if len(parts) > 1 else "?"
+ project = mapping.get(name, "?")
+ factory_sessions.append({"session": name, "started": created, "project": project})
+
+ if not factory_sessions:
+ if getattr(args, "json_output", False):
+ print("[]")
+ else:
+ print("No factory sessions running.")
+ return 0
+
+ if getattr(args, "json_output", False):
+ print(json.dumps(factory_sessions, indent=2))
+ else:
+ print(f"{'Session':<35} {'Started':<20} {'Project'}")
+ print("-" * 80)
+ for s in factory_sessions:
+ print(f"{s['session']:<35} {s['started']:<20} {s['project']}")
+ return 0
+
+
+def cmd_tmux_capture(args: argparse.Namespace) -> int:
+ """Capture recent output from a factory tmux session."""
+ if not _tmux_available():
+ print("Error: tmux is not installed.", file=sys.stderr)
+ return 1
+
+ session = getattr(args, "session", None)
+ if not session and getattr(args, "path", None):
+ project_path = Path(args.path).resolve()
+ mapping = _load_tmux_session_mapping()
+ for s, p in mapping.items():
+ if Path(p).resolve() == project_path:
+ session = s
+ break
+ if not session:
+ session = _tmux_session_name(project_path)
+
+ if not session:
+ print("Error: specify --session or path to identify the session", file=sys.stderr)
+ return 1
+
+ if not _tmux_session_alive(session):
+ print(f"Error: session '{session}' not found", file=sys.stderr)
+ return 1
+
+ lines = getattr(args, "lines", -100)
+ result = subprocess.run(
+ ["tmux", "capture-pane", "-t", session, "-p", "-S", str(lines)],
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode != 0:
+ print(f"Error: failed to capture pane for '{session}'", file=sys.stderr)
+ return 1
+
+ print(result.stdout, end="")
+ return 0
+
+
+def cmd_tmux_stop(args: argparse.Namespace) -> int:
+ """Stop a factory tmux session."""
+ if not _tmux_available():
+ print("Error: tmux is not installed.", file=sys.stderr)
+ return 1
+
+ if args.session:
+ session = args.session
+ elif args.path:
+ session = _tmux_session_name(Path(args.path).resolve())
+ elif getattr(args, "stop_all", False):
+ result = subprocess.run(
+ ["tmux", "list-sessions", "-F", "#{session_name}"],
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode != 0:
+ print("No tmux sessions running.")
+ return 0
+
+ killed = 0
+ for name in result.stdout.strip().splitlines():
+ if name.startswith(_TMUX_SESSION_PREFIX):
+ subprocess.run(["tmux", "kill-session", "-t", name])
+ print(f"Stopped: {name}")
+ killed += 1
+
+ if killed == 0:
+ print("No factory sessions running.")
+ else:
+ print(f"Stopped {killed} session(s).")
+ return 0
+ else:
+ result = subprocess.run(
+ ["tmux", "list-sessions", "-F", "#{session_name}"],
+ capture_output=True,
+ text=True,
+ )
+ sessions = []
+ if result.returncode == 0:
+ for name in result.stdout.strip().splitlines():
+ if name.startswith(_TMUX_SESSION_PREFIX):
+ sessions.append(name)
+ if sessions:
+ print("Factory sessions that would be stopped:")
+ for s in sessions:
+ print(f" {s}")
+ else:
+ print("No factory sessions running.")
+ print("\nUse --all to stop all factory sessions.")
+ return 1
+
+ check = subprocess.run(
+ ["tmux", "has-session", "-t", session],
+ capture_output=True,
+ )
+ if check.returncode != 0:
+ print(f"Session '{session}' not found.")
+ return 1
+
+ mapping = _load_tmux_session_mapping()
+ if session not in mapping and not getattr(args, "force", False):
+ print(
+ f"Warning: session '{session}' is not in the factory session registry.",
+ file=sys.stderr,
+ )
+ print("It may not be a factory-managed session. Use --force to kill it anyway.", file=sys.stderr)
+ return 1
+
+ subprocess.run(["tmux", "kill-session", "-t", session])
+ print(f"Stopped: {session}")
+ return 0
diff --git a/factory/cli/admin.py b/factory/cli/admin.py
new file mode 100644
index 000000000..24afa2b74
--- /dev/null
+++ b/factory/cli/admin.py
@@ -0,0 +1,455 @@
+"""CLI admin commands."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import subprocess
+import structlog
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _run
+
+log = structlog.get_logger()
+
+
+def cmd_home(args: argparse.Namespace) -> int:
+ """Print the factory package root (where templates/ lives)."""
+ factory_home = Path(__file__).resolve().parent.parent
+ print(factory_home)
+ return 0
+
+
+def cmd_detect(args: argparse.Namespace) -> int:
+ from factory.state import detect_state
+
+ project_path = Path(args.path)
+ state = detect_state(project_path)
+ _emit_cli_event(project_path, "detect", {"state": state.value})
+ print(state.value)
+ return 0
+
+
+def cmd_discover(args: argparse.Namespace) -> int:
+ from factory.discovery.eval_spec import generate_eval_spec
+ from factory.discovery.generate import write_eval_script
+ from factory.discovery.introspect import introspect_project
+ from factory.discovery.profile import build_eval_profile
+ from factory.store import ExperimentStore, ensure_factory_dir
+
+ project_path = Path(args.path)
+ _emit_cli_event(project_path, "discover.started", {"path": str(project_path)})
+
+ profile = introspect_project(project_path)
+ eval_profile = build_eval_profile(profile)
+
+ eval_spec = generate_eval_spec(profile, project_path)
+
+ # Persist artifacts so detect_state can find them
+ store = ExperimentStore(project_path)
+ ensure_factory_dir(store.factory_dir)
+ _run(store.save_eval_profile(eval_profile))
+ write_eval_script(eval_profile, project_path)
+
+ if eval_spec:
+ (store.factory_dir / "eval_spec.json").write_text(json.dumps(eval_spec, indent=2) + "\n")
+
+ from factory.discovery.spec import resolve_spec
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ try:
+ from factory.cli.spec import _run_spec_workflow
+
+ rc, reason = _run_spec_workflow("spec-generate", project_path)
+ if rc == 0:
+ spec_path = project_path / "SPEC.md"
+ else:
+ log.warning("spec_generate_skipped", reason=reason or "workflow failed")
+ except Exception as exc:
+ log.warning("spec_generate_skipped", reason=str(exc))
+
+ dims = [d.name for d in eval_profile.dimensions]
+ _emit_cli_event(
+ project_path,
+ "discover.completed",
+ {
+ "language": profile.language,
+ "framework": profile.framework,
+ "dimensions": dims,
+ "eval_spec_count": len(eval_spec),
+ },
+ )
+
+ output = {
+ "project": profile.model_dump(),
+ "eval_profile": eval_profile.model_dump(),
+ "eval_spec": eval_spec,
+ "spec": {"path": str(spec_path)},
+ }
+ print(json.dumps(output, indent=2))
+
+ if profile.discovered_evals:
+ print("\nDiscovered project eval scripts:", file=sys.stderr)
+ for e in profile.discovered_evals:
+ print(f" - {e.name}: {e.command}", file=sys.stderr)
+ print(
+ "\nTo use these as project-specific eval dimensions, add them to "
+ "factory.md under ## Project Eval:",
+ file=sys.stderr,
+ )
+ for e in profile.discovered_evals:
+ print(f" - name: {e.name}", file=sys.stderr)
+ print(f" command: {e.command}", file=sys.stderr)
+ print(" parse: json", file=sys.stderr)
+
+ return 0
+
+
+def cmd_init(args: argparse.Namespace) -> int:
+ from factory.store import ExperimentStore, ensure_factory_dir
+
+ project_path = Path(args.path)
+ store = ExperimentStore(project_path)
+
+ factory_md = project_path / "factory.md"
+ if not factory_md.exists():
+ print("Error: factory.md not found. Create it first or use --reparse.", file=sys.stderr)
+ return 1
+
+ # Ensure .factory/ dir exists so reparse_config can write config.json
+ ensure_factory_dir(store.factory_dir)
+ config = _run(store.reparse_config())
+
+ if args.reparse:
+ print(f"Reparsed config: goal={config.goal!r}")
+ else:
+ _run(store.init(config))
+ print(f"Initialized .factory/ — goal={config.goal!r}")
+ return 0
+
+
+def cmd_notify(args: argparse.Namespace) -> int:
+ from factory.notify.telegram import TelegramNotifier
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ records = _run(store.load_history())
+ notifier = TelegramNotifier()
+ _run(notifier.send_digest(project_path.name, records, None))
+ print("Digest sent.")
+ return 0
+
+
+def cmd_study(args: argparse.Namespace) -> int:
+ from factory.study import study_project
+
+ project_path = Path(args.path)
+ _emit_cli_event(project_path, "study.started", {})
+ kwargs: dict[str, object] = {}
+ projects_dir = getattr(args, "projects_dir", None)
+ if projects_dir:
+ kwargs["projects_dir"] = str(Path(projects_dir).expanduser().resolve())
+ focus = getattr(args, "focus", None)
+ summary = study_project(project_path, focus=focus, **kwargs)
+
+ # Write to .factory/strategy/observations.md
+ obs_path = project_path / ".factory" / "strategy" / "observations.md"
+ obs_path.parent.mkdir(parents=True, exist_ok=True)
+ obs_path.write_text(summary)
+
+ _emit_cli_event(project_path, "study.completed", {"chars": len(summary)})
+ print(summary)
+ return 0
+
+
+def cmd_log(args: argparse.Namespace) -> int:
+ """Append a structured event to .factory/events.jsonl."""
+ import json as json_mod
+
+ from factory.events import emit_event
+
+ project_path = Path(args.path).resolve()
+ event_type = args.event_type
+
+ if args.data:
+ try:
+ data = json_mod.loads(args.data)
+ except json_mod.JSONDecodeError as exc:
+ print(f"Error: invalid JSON in --data: {exc}", file=sys.stderr)
+ return 1
+ else:
+ data = {}
+
+ emit_event(project_path, event_type, agent=args.agent, data=data)
+ return 0
+
+
+def cmd_config(args: argparse.Namespace) -> int:
+ """Manage ~/.factory/config.toml."""
+ sub = getattr(args, "config_command", None)
+ if not sub:
+ print("Usage: factory config {show,edit,migrate}")
+ return 1
+
+ if sub == "show":
+ from factory.user_config import show_config
+
+ reveal = getattr(args, "reveal", False)
+ print(show_config(reveal=reveal))
+ return 0
+
+ if sub == "edit":
+ from factory.user_config import CONFIG_PATH, ensure_config_file
+
+ ensure_config_file()
+ editor = os.environ.get("EDITOR", "vi")
+ return subprocess.call([editor, str(CONFIG_PATH)])
+
+ if sub == "migrate":
+ from factory.user_config import migrate_env_to_config
+
+ try:
+ msg = migrate_env_to_config()
+ print(msg)
+ return 0
+ except (ImportError, FileExistsError) as e:
+ print(f"Error: {e}", file=sys.stderr)
+ return 1
+
+ print(f"Unknown config subcommand: {sub}", file=sys.stderr)
+ return 1
+
+
+def cmd_emit(args: argparse.Namespace) -> int:
+ from factory.events import emit_event
+
+ project_path = Path(args.project).resolve()
+ data: dict = {}
+ if args.data:
+ try:
+ data = json.loads(args.data)
+ except json.JSONDecodeError as e:
+ print(f"Error: --data is not valid JSON: {e}", file=sys.stderr)
+ return 1
+ emit_event(project_path, args.event_type, agent=args.agent, data=data)
+ return 0
+
+
+def cmd_self_update(args: argparse.Namespace) -> int:
+ """Self-update the factory CLI via uv tool upgrade."""
+ from importlib.metadata import version as pkg_version
+
+ try:
+ version_before = pkg_version("remote-factory")
+ except Exception:
+ version_before = "unknown"
+
+ print(f"Current version: {version_before}")
+ print("Upgrading remote-factory...")
+
+ result = subprocess.run(
+ ["uv", "tool", "upgrade", "remote-factory"],
+ capture_output=True,
+ text=True,
+ )
+
+ if result.stdout:
+ print(result.stdout.rstrip())
+ if result.stderr:
+ print(result.stderr.rstrip(), file=sys.stderr)
+
+ if result.returncode != 0:
+ print("Upgrade failed.", file=sys.stderr)
+ return 1
+
+ # Re-check version (may not reflect in this process, but show what uv reported)
+ try:
+ version_after = pkg_version("remote-factory")
+ except Exception:
+ version_after = "unknown"
+
+ print(f"Version after upgrade: {version_after}")
+ if version_before == version_after:
+ print("Already up to date.")
+ else:
+ print(f"Updated: {version_before} -> {version_after}")
+ return 0
+
+
+def cmd_install(args: argparse.Namespace) -> int:
+ """Install Factory agents as Claude Code CLI agents."""
+ from factory.agents.plugin import (
+ generate_agent_content,
+ load_agent_config,
+ )
+
+ role_filter = getattr(args, "role", None)
+ config = load_agent_config()
+
+ if role_filter and role_filter not in config:
+ print(f"Unknown role: {role_filter!r}", file=sys.stderr)
+ print(f"Available roles: {', '.join(config)}", file=sys.stderr)
+ return 1
+
+ roles = [role_filter] if role_filter else list(config)
+
+ agents_dir = Path.home() / ".claude" / "agents"
+ agents_dir.mkdir(parents=True, exist_ok=True)
+ for role in roles:
+ content = generate_agent_content(role)
+ agent_path = agents_dir / f"factory-{role}.md"
+ agent_path.write_text(content)
+ print(f" Installed factory-{role} -> {agent_path}")
+ print()
+ print("Usage:")
+ print(" claude --agent factory-<role> # from any project directory")
+ print(' claude --agent factory-ceo "improve X" # with initial prompt')
+ print()
+ print('Or from within Claude Code, ask: "use the factory-<role> agent"')
+
+ return 0
+
+
+def cmd_profile(args: argparse.Namespace) -> int:
+ """Manage the user profile at ~/.factory/profile.md."""
+ sub = getattr(args, "profile_command", None)
+ if not sub:
+ print("Usage: factory profile {build,show}")
+ return 1
+
+ if sub == "show":
+ from factory.profile import load_profile
+
+ profile = load_profile()
+ if profile is None:
+ print("No profile found. Run 'factory profile build' first.")
+ return 1
+ print(profile)
+ return 0
+
+ if sub == "build":
+ from factory.profile import collect_evidence, save_profile, synthesize_profile
+ from factory.registry import get_project_paths
+
+ raw_paths = getattr(args, "paths", None)
+ if raw_paths:
+ project_paths = [Path(p).resolve() for p in raw_paths]
+ else:
+ project_paths = get_project_paths()
+ if not project_paths:
+ print(
+ "No registered projects found. Pass project paths explicitly.", file=sys.stderr
+ )
+ return 1
+
+ evidence = collect_evidence(project_paths)
+ dry_run = getattr(args, "dry_run", False)
+
+ if dry_run:
+ for section, content in evidence.items():
+ print(f"\n{'=' * 60}")
+ print(f" {section}")
+ print(f"{'=' * 60}")
+ print(content or "(empty)")
+ return 0
+
+ from factory.agents.runner import resolve_prompt
+ from factory.cli._helpers import _resolve_runner
+
+ runner_name = _resolve_runner(args)
+ profiler_prompt = resolve_prompt("profiler")
+ profile_text = _run(synthesize_profile(evidence, runner_name, prompt=profiler_prompt))
+ if profile_text.startswith("Profile synthesis failed"):
+ print(profile_text, file=sys.stderr)
+ return 1
+ source_names = [p.name for p in project_paths]
+ path = save_profile(profile_text, source_names, runner_name or "claude")
+ print(f"Profile written to {path}")
+ return 0
+
+ print(f"Unknown profile subcommand: {sub}", file=sys.stderr)
+ return 1
+
+
+def cmd_usage(args: argparse.Namespace) -> int:
+ """Print per-agent token usage breakdown from events.jsonl."""
+ from factory.events import load_events
+
+ project_path = Path(args.path).resolve()
+ events = load_events(project_path)
+
+ agent_stats: dict[str, dict[str, float]] = {}
+ for ev in events:
+ if ev.get("type") != "agent.completed":
+ continue
+ data = ev.get("data", {})
+ if "input_tokens" not in data:
+ continue
+ agent = ev.get("agent", "unknown") or "unknown"
+ if agent not in agent_stats:
+ agent_stats[agent] = {
+ "input_tokens": 0,
+ "output_tokens": 0,
+ "cache_read_tokens": 0,
+ "total_cost_usd": 0.0,
+ "calls": 0,
+ "avg_cost": 0.0,
+ }
+ s = agent_stats[agent]
+ s["input_tokens"] += data.get("input_tokens", 0)
+ s["output_tokens"] += data.get("output_tokens", 0)
+ s["cache_read_tokens"] += data.get("cache_read_tokens", 0)
+ s["total_cost_usd"] += data.get("total_cost_usd", 0.0)
+ s["calls"] += 1
+
+ for s in agent_stats.values():
+ if s["calls"] > 0:
+ s["avg_cost"] = s["total_cost_usd"] / s["calls"]
+
+ use_json = args.json
+
+ if use_json:
+ print(json.dumps(agent_stats, indent=2))
+ return 0
+
+ if not agent_stats:
+ print("No agent usage data found.")
+ return 0
+
+ header = f"{'Agent':<16} {'Input':>10} {'Output':>10} {'Cache Read':>12} {'Cost':>10} {'Calls':>6} {'Avg Cost':>10}"
+ print(header)
+ print("-" * len(header))
+
+ total_input = 0
+ total_output = 0
+ total_cache = 0
+ total_cost = 0.0
+ total_calls = 0
+
+ for agent, s in sorted(agent_stats.items()):
+ inp = int(s["input_tokens"])
+ out = int(s["output_tokens"])
+ cache = int(s["cache_read_tokens"])
+ cost = s["total_cost_usd"]
+ calls = int(s["calls"])
+ avg = s["avg_cost"]
+ print(
+ f"{agent:<16} {inp:>10,} {out:>10,} {cache:>12,} ${cost:>9.4f} {calls:>6} ${avg:>9.4f}"
+ )
+ total_input += inp
+ total_output += out
+ total_cache += cache
+ total_cost += cost
+ total_calls += calls
+
+ print("-" * len(header))
+ total_avg = total_cost / total_calls if total_calls > 0 else 0.0
+ print(
+ f"{'TOTAL':<16} {total_input:>10,} {total_output:>10,} {total_cache:>12,} ${total_cost:>9.4f} {total_calls:>6} ${total_avg:>9.4f}"
+ )
+
+ return 0
diff --git a/factory/cli/agents.py b/factory/cli/agents.py
new file mode 100644
index 000000000..f53160c0d
--- /dev/null
+++ b/factory/cli/agents.py
@@ -0,0 +1,255 @@
+"""CLI agents commands."""
+from __future__ import annotations
+
+import argparse
+import os
+import structlog
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _run
+from factory.cli._helpers import _resolve_runner
+from factory.cli._mode_handlers import _resolve_background, _resolve_model, _resolve_tmux_persist
+
+log = structlog.get_logger()
+
+def cmd_ace(args: argparse.Namespace) -> int:
+ """Run ACE self-improvement on agent playbooks."""
+ from factory.ace.curator import curate_playbook
+ from factory.ace.models import Playbook
+ from factory.ace.paths import seed_user_playbooks, user_playbook_path, user_playbooks_dir
+ from factory.ace.reflector import reflect_on_experiments, update_counters_from_experiments
+ from factory.insights import discover_projects, load_all_histories
+
+ project_path = Path(args.path).resolve()
+ projects_dir_raw = getattr(args, "projects_dir", None)
+ if projects_dir_raw:
+ projects_dir = Path(projects_dir_raw).expanduser().resolve()
+ else:
+ from factory.registry import get_project_paths
+ reg_paths = get_project_paths()
+ if reg_paths:
+ projects_dir = reg_paths[0].parent
+ else:
+ projects_dir = project_path.parent
+ dry_run = getattr(args, "dry_run", False)
+
+ _emit_cli_event(project_path, "ace.started", {"dry_run": dry_run})
+
+ # Step 0: Update counters on existing playbooks from experiment verdicts
+ user_dir = user_playbooks_dir()
+ if not dry_run:
+ seed_user_playbooks()
+ project_paths = discover_projects(projects_dir)
+ if project_path not in project_paths:
+ project_paths.append(project_path)
+ histories = load_all_histories(project_paths)
+ all_records = [r for records in histories.values() for r in records]
+ if all_records:
+ update_counters_from_experiments(user_dir, all_records)
+
+ # Step 1: Reflect — analyze experiment data, generate candidate bullets
+ candidates = reflect_on_experiments(projects_dir, project_path)
+
+ if not candidates:
+ print("No candidate playbook bullets generated (not enough experiment data).")
+ return 0
+
+ # Step 2: Curate — merge with existing playbooks, prune
+ roles_updated = []
+ for role, items in candidates.items():
+ playbook_path = user_playbook_path(role)
+ if playbook_path.exists():
+ existing = Playbook.from_markdown(playbook_path.read_text())
+ else:
+ existing = Playbook.empty(role)
+
+ updated = curate_playbook(existing, items)
+
+ if dry_run:
+ print(f"\n{'=' * 60}")
+ print(f"DRY RUN — {role} ({len(items)} candidates → {len(updated.items)} items)")
+ print(f"{'=' * 60}")
+ print(updated.to_markdown())
+ else:
+ playbook_path.write_text(updated.to_markdown())
+ print(f" {role}: {len(updated.items)} items → {playbook_path}")
+ roles_updated.append(role)
+
+ _emit_cli_event(project_path, "ace.completed", {
+ "roles_updated": roles_updated,
+ "candidates": len(candidates),
+ "dry_run": dry_run,
+ })
+
+ if not dry_run:
+ print(f"\nPlaybooks updated in {user_dir}")
+
+ return 0
+
+
+def cmd_ace_stats(args: argparse.Namespace) -> int:
+ """Print a table of all playbook items with their helpful/harmful/net counters."""
+ from factory.ace.models import Playbook
+ from factory.ace.paths import DEFAULTS_DIR, user_playbooks_dir
+
+ user_dir = user_playbooks_dir()
+
+ all_items: list[tuple[str, str, int, int, int, str]] = []
+ seen_roles: set[str] = set()
+
+ # User-local playbooks take priority
+ for playbook_path in sorted(user_dir.glob("*.md")):
+ role = playbook_path.stem
+ seen_roles.add(role)
+ playbook = Playbook.from_markdown(playbook_path.read_text())
+ for item in playbook.items:
+ all_items.append((
+ role,
+ item.id,
+ item.helpful,
+ item.harmful,
+ item.net_score,
+ item.content[:60],
+ ))
+
+ # Fall back to defaults for roles without user-local
+ for playbook_path in sorted(DEFAULTS_DIR.glob("*.md")):
+ role = playbook_path.stem
+ if role in seen_roles:
+ continue
+ playbook = Playbook.from_markdown(playbook_path.read_text())
+ for item in playbook.items:
+ all_items.append((
+ role,
+ item.id,
+ item.helpful,
+ item.harmful,
+ item.net_score,
+ item.content[:60],
+ ))
+
+ if not all_items:
+ print("No playbook items found.")
+ return 0
+
+ # Print table header
+ header = f"{'Role':<12} {'ID':<14} {'helpful':>7} {'harmful':>7} {'net':>5} Text"
+ print(header)
+ print("-" * len(header))
+
+ total_helpful = 0
+ total_harmful = 0
+ for role, item_id, helpful, harmful, net, text in all_items:
+ print(f"{role:<12} {item_id:<14} {helpful:>7} {harmful:>7} {net:>5} {text}")
+ total_helpful += helpful
+ total_harmful += harmful
+
+ print("-" * len(header))
+ print(
+ f"Total: {len(all_items)} bullets, "
+ f"helpful={total_helpful}, harmful={total_harmful}, "
+ f"net={total_helpful - total_harmful}"
+ )
+ return 0
+
+
+def cmd_agent(args: argparse.Namespace) -> int:
+ """Invoke a specialist agent with the given task."""
+ from factory.agents.plugin import load_agent_config
+ from factory.agents.runner import invoke_agent
+ from factory.cli._parser_groups import BUILTIN_AGENT_ROLES
+ from factory.plugins import get_registry
+ from factory.user_config import load_config
+
+ profile = getattr(args, "profile", None)
+ load_config(profile=profile)
+
+ role = args.role
+ plugin_roles = set(get_registry().agent_roles)
+ valid_roles = BUILTIN_AGENT_ROLES | plugin_roles
+ if role not in valid_roles:
+ print(
+ f"Error: unknown agent role '{role}'. "
+ f"Valid roles: {', '.join(sorted(valid_roles))}",
+ file=sys.stderr,
+ )
+ return 1
+
+ task = args.task
+ project_path = Path(args.project).resolve()
+ timeout = getattr(args, "timeout", 600.0)
+ model = _resolve_model(args)
+ if not model:
+ agent_config = load_agent_config()
+ if role in agent_config:
+ model = agent_config[role].model or None
+ runner = _resolve_runner(args)
+ use_profile = getattr(args, "use_profile", False)
+ tmux_persist = _resolve_tmux_persist(args)
+ background = _resolve_background(args)
+ if background and tmux_persist:
+ print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
+ return 1
+ review_tag = getattr(args, "review_tag", None)
+ parent_span = getattr(args, "parent_session", None) or os.environ.get("FACTORY_PARENT_SPAN_ID")
+ if parent_span:
+ os.environ["FACTORY_PARENT_SPAN_ID"] = parent_span
+
+ result, code = _run(invoke_agent(
+ role,
+ task,
+ project_path,
+ timeout=timeout,
+ dangerously_skip_permissions=True,
+ model=model,
+ runner_name=runner,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ review_tag=review_tag,
+ ))
+ print(result)
+ return code
+
+
+def cmd_runners_list(args: argparse.Namespace) -> int:
+ """List all available runners with metadata."""
+ from factory.runners import get_all_runner_meta
+
+ meta_list = get_all_runner_meta()
+ use_json = getattr(args, "json", False)
+
+ if use_json:
+ import json as json_mod
+ data = []
+ for m in meta_list:
+ data.append({
+ "name": m.name,
+ "display_name": m.display_name,
+ "binary": m.binary,
+ "install_hint": m.install_hint,
+ "available": m.is_available(),
+ "auth_ok": m.check_auth(),
+ "supports_model_override": m.supports_model_override,
+ "supports_interactive": m.supports_interactive,
+ "supports_streaming": m.supports_streaming,
+ "supports_usage_telemetry": m.supports_usage_telemetry,
+ "supports_session_name": m.supports_session_name,
+ })
+ print(json_mod.dumps(data, indent=2))
+ return 0
+
+ if not meta_list:
+ print("No runners registered.")
+ return 0
+
+ header = f"{'Name':<12} {'Display':<20} {'Binary':<12} {'Available':>9} {'Auth':>6}"
+ print(header)
+ print("-" * len(header))
+ for m in meta_list:
+ avail = "yes" if m.is_available() else "no"
+ auth = "ok" if m.check_auth() else "missing"
+ print(f"{m.name:<12} {m.display_name:<20} {m.binary:<12} {avail:>9} {auth:>6}")
+ return 0
+
diff --git a/factory/cli/backlog.py b/factory/cli/backlog.py
new file mode 100644
index 000000000..8d97a6a15
--- /dev/null
+++ b/factory/cli/backlog.py
@@ -0,0 +1,52 @@
+"""CLI backlog commands."""
+from __future__ import annotations
+
+import argparse
+import structlog
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event
+
+log = structlog.get_logger()
+
+def cmd_backlog_remove(args: argparse.Namespace) -> int:
+ from factory.study import remove_backlog_item
+
+ project_path = Path(args.path)
+ item_text = args.item
+ if remove_backlog_item(project_path, item_text):
+ _emit_cli_event(project_path, "backlog.removed", {"item": item_text})
+ print(f"Removed backlog item: {item_text}")
+ return 0
+ print(f"Backlog item not found: {item_text}", file=sys.stderr)
+ return 1
+
+
+def cmd_backlog_list(args: argparse.Namespace) -> int:
+ from factory.study import _migrate_legacy_backlog, _parse_backlog_items, _persist_backlog_items
+
+ project_path = Path(args.path)
+ _migrate_legacy_backlog(project_path)
+ items = _parse_backlog_items(project_path)
+ if not items:
+ print("No backlog items.")
+ return 0
+ _persist_backlog_items(project_path, items)
+ for item in items:
+ print(f"- {item}")
+ return 0
+
+
+def cmd_backlog_add(args: argparse.Namespace) -> int:
+ from factory.study import add_backlog_item
+
+ project_path = Path(args.path)
+ item_text = args.item
+ if add_backlog_item(project_path, item_text):
+ _emit_cli_event(project_path, "backlog.added", {"item": item_text})
+ print(f"Added backlog item: {item_text}")
+ return 0
+ print(f"Backlog item already exists: {item_text}", file=sys.stderr)
+ return 1
+
diff --git a/factory/cli/ceo.py b/factory/cli/ceo.py
new file mode 100644
index 000000000..2a5ead9b3
--- /dev/null
+++ b/factory/cli/ceo.py
@@ -0,0 +1,249 @@
+"""CLI ceo commands — thin dispatcher delegating to extracted modules."""
+from __future__ import annotations
+
+import argparse
+import os
+import sys
+import tempfile
+from pathlib import Path
+
+import structlog
+
+from factory.cli._ceo_helpers import (
+ _execute_ceo,
+ _resolve_ceo_project,
+ _validate_ceo_flags,
+ _validate_late_flags,
+)
+from factory.cli._mode_handlers import (
+ _auto_detect_mode,
+ handle_deep_qa_mode,
+ handle_review_mode,
+)
+from factory.cli._path_resolver import _resolve_focus_issues
+
+
+# ── subcommand handlers ──────────────────────────────────────
+
+
+def cmd_ceo(args: argparse.Namespace) -> int:
+ """Launch the Factory CEO agent to orchestrate a project."""
+ from factory.user_config import load_config
+
+ profile = getattr(args, "profile", None)
+ load_config(profile=profile)
+
+ raw_path: str | None = getattr(args, "path", None)
+
+ validated = _validate_ceo_flags(args)
+ if isinstance(validated, int):
+ return validated
+ mode, headless, bg, bg_agents, prompt_file, focus, dir_name, refine_request, auto_approve, from_plan, just_plan = validated
+
+ from factory.plugins import get_registry
+
+ _log = structlog.get_logger()
+ registry = get_registry()
+ for hook in registry.ceo_pre_hooks:
+ try:
+ override = hook(mode, args)
+ if override is not None:
+ raw_path = str(override)
+ args.path = raw_path
+ except Exception as exc:
+ _log.warning("plugin_pre_hook_failed", error=str(exc))
+
+ if raw_path is None:
+ print(
+ "Error: no project path provided and no plugin pre-hook supplied one.",
+ file=sys.stderr,
+ )
+ return 1
+
+ if mode == "review":
+ return handle_review_mode(args, raw_path, headless)
+ if mode == "deep-qa":
+ return handle_deep_qa_mode(args, raw_path, headless)
+
+ resolved = _resolve_ceo_project(raw_path, mode, headless, bg, focus, dir_name, prompt_file)
+ if isinstance(resolved, int):
+ return resolved
+ (project_path, context, design_idea, research_ideation,
+ deferred_spec, needs_materialize, design_existing, create_description,
+ update_existing_mode) = resolved
+
+ plugin_mode = getattr(args, "plugin", False)
+ plugin_folder = getattr(args, "folder", None)
+
+ if plugin_mode and mode != "create":
+ print(
+ "Error: --plugin requires --mode create. "
+ "Usage: factory ceo /path --mode create --focus 'my mode' --plugin",
+ file=sys.stderr,
+ )
+ return 1
+
+ if plugin_folder and not plugin_mode:
+ print(
+ "Warning: --folder is ignored without --plugin.",
+ file=sys.stderr,
+ )
+ plugin_folder = None
+
+ no_github = getattr(args, "no_github", False)
+ issue_number: int | None = None
+ issue_url: str | None = None
+ issue_numbers: list[int] = []
+ issue_urls: list[str] = []
+ if focus:
+ from factory.issue import has_multi_issue_refs
+
+ if has_multi_issue_refs(focus) and no_github:
+ print(
+ "Error: --focus resolved to an issue reference, but --no-github is set. "
+ "Issue fetching requires GitHub/GitLab CLI access.",
+ file=sys.stderr,
+ )
+ return 1
+ multi_resolved = _resolve_focus_issues(focus, project_path)
+ if multi_resolved:
+ if len(multi_resolved) == 1:
+ title, context, issue_number, issue_url = multi_resolved[0]
+ focus = f"{title} (issue #{issue_number})"
+ else:
+ parts = []
+ for title, ctx, num, url in multi_resolved:
+ parts.append(f"{title} (issue #{num})")
+ issue_numbers.append(num)
+ issue_urls.append(url)
+ focus = " + ".join(parts)
+ context = None
+
+ force_fresh = mode == "auto-fresh"
+ if mode in ("auto", "auto-fresh"):
+ mode = _auto_detect_mode(
+ project_path,
+ has_prompt=bool(prompt_file or context),
+ force_fresh=force_fresh,
+ )
+
+ err = _validate_late_flags(
+ mode, focus, prompt_file, research_ideation,
+ design_existing, project_path, no_github, issue_number,
+ just_plan=just_plan,
+ )
+ if err is not None:
+ return err
+
+ if design_existing:
+ banner_mode = "design"
+ elif mode in ("design", "research") and (design_idea or research_ideation):
+ banner_mode = "ideation"
+ else:
+ banner_mode = mode
+
+ return _execute_ceo(
+ args=args,
+ project_path=project_path,
+ context=context,
+ mode=mode,
+ banner_mode=banner_mode,
+ headless=headless,
+ bg=bg,
+ bg_agents=bg_agents,
+ focus=focus,
+ prompt_file=prompt_file,
+ design_idea=design_idea,
+ design_existing=design_existing,
+ research_ideation=research_ideation,
+ create_description=create_description,
+ update_existing_mode=update_existing_mode,
+ plugin_mode=plugin_mode,
+ plugin_folder=plugin_folder,
+ deferred_spec=deferred_spec,
+ needs_materialize=needs_materialize,
+ refine_request=refine_request,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ no_github=no_github,
+ raw_path=raw_path,
+ from_plan=from_plan,
+ just_plan=just_plan,
+ )
+
+
+def cmd_refactory(args: argparse.Namespace) -> int:
+ """Launch the re:factory persistent supervisor agent."""
+ import shutil
+
+ from factory.agents.runner import resolve_prompt
+ from factory.refactory import get_session_id, setup_workspace
+
+ claude_path = shutil.which("claude")
+ if not claude_path:
+ print("Error: 'claude' CLI not found. Install Claude Code first.", file=sys.stderr)
+ return 1
+
+ project_path = Path(getattr(args, "path", None) or Path.cwd()).resolve()
+
+ setup_workspace(project_path)
+
+ loop = getattr(args, "loop", False)
+ if loop:
+ tune_skill_src = Path(__file__).parent.parent / "agents" / "skills" / "workflow-tune.md"
+ if tune_skill_src.is_file():
+ commands_dir = project_path / ".claude" / "commands"
+ commands_dir.mkdir(parents=True, exist_ok=True)
+ shutil.copy2(tune_skill_src, commands_dir / "workflow-tune.md")
+
+ reset = getattr(args, "reset", False)
+ session_file = project_path / ".refactory" / "session.json"
+ is_new_session = reset or not session_file.exists()
+ session_id = get_session_id(project_path, reset=reset)
+ model = getattr(args, "model", None)
+
+ prompt = resolve_prompt("refactory")
+ prompt_tmp = tempfile.NamedTemporaryFile(
+ mode="w",
+ suffix=".md",
+ prefix="refactory-prompt-",
+ delete=False,
+ )
+ prompt_tmp.write(prompt)
+ prompt_tmp.close()
+
+ if is_new_session:
+ cmd = [
+ "claude",
+ "--session-id",
+ session_id,
+ "--append-system-prompt-file",
+ prompt_tmp.name,
+ "--disallowedTools",
+ "Agent",
+ "--dangerously-skip-permissions",
+ ]
+ else:
+ cmd = [
+ "claude",
+ "--resume",
+ session_id,
+ "--append-system-prompt-file",
+ prompt_tmp.name,
+ "--disallowedTools",
+ "Agent",
+ "--dangerously-skip-permissions",
+ ]
+
+ if model:
+ cmd.extend(["--model", model])
+
+ mcp_config = project_path / ".refactory" / ".mcp.json"
+ if mcp_config.exists():
+ cmd.extend(["--mcp-config", str(mcp_config), "--strict-mcp-config"])
+
+ os.chdir(project_path)
+ os.execvp("claude", cmd)
+ return 0
diff --git a/factory/cli/contained.py b/factory/cli/contained.py
new file mode 100644
index 000000000..21fb808e5
--- /dev/null
+++ b/factory/cli/contained.py
@@ -0,0 +1,156 @@
+"""`factory contained` — run any factory command inside a podman container or a cluster pod.
+
+The runtime is a place to run the factory, not a mode of the factory: everything after `--` is
+handed inward verbatim, except for path rewriting.
+
+This module is only the front door: register the parser, then hand one interpreted command to
+whoever owns it. The three things it hands to are peers, and none of them knows about the others —
+`contained_args.py` reads the command line, `contained_local.py` runs one podman container,
+`contained_k8s.py` runs one cluster pod.
+"""
+
+from __future__ import annotations
+
+import argparse
+import sys
+
+from factory.cli.contained_args import (
+ HELP_EPILOG,
+ HELP_SUBCOMMAND,
+ interpret,
+ target_given,
+)
+from factory.cli.contained_local import run_local
+from factory.contained.lifecycle import dispatch_lifecycle
+from factory.contained.prereq import local_checks, render_checks
+from factory.contained.setup import run_setup
+
+
+# Set by `build_contained_parser`, read by `cmd_contained`. `interpret` needs the parser itself (to
+# call `.error()` on) and the namespace has no room for it: `set_defaults` would put every key into
+# `--help` output and into every namespace repr, which is noise in exactly the place a user is
+# trying to read.
+_PARSER: argparse.ArgumentParser | None = None
+
+
+def build_contained_parser(sub: argparse._SubParsersAction) -> argparse.ArgumentParser:
+ """Register the `contained` subcommand.
+
+ The payload after `--` is `argparse.REMAINDER`: it is handed to the factory inside the runtime
+ verbatim. Validating it here would mean the host has to know every subcommand the contained
+ factory supports, which it cannot — and a passthrough that second-guesses its payload breaks
+ every time the CLI grows.
+ """
+ global _PARSER
+ p = sub.add_parser(
+ "contained",
+ help="Run any factory command in a container (local) or a pod (k8s)",
+ usage="factory contained [runtime flags] -- <factory command>\n"
+ " factory contained {ls|attach|rm|sync|setup|verify|bundle|help} [name]",
+ epilog=HELP_EPILOG,
+ formatter_class=argparse.RawDescriptionHelpFormatter,
+ # `--name` and `--namespace` share a prefix. Without this, argparse's default prefix
+ # matching lets `--name` silently resolve to `--namespace` (or any future flag that happens
+ # to share a prefix with another), which is exactly the kind of flag-aliasing this parser
+ # has to name loudly rather than let happen quietly.
+ allow_abbrev=False,
+ )
+ # One REMAINDER for everything positional, split afterwards by `interpret`. A declarative split
+ # is not expressible: an optional positional carrying `choices` would try to match the first
+ # word of the payload and reject it as an invalid choice.
+ # Every flag is SUPPRESSed from argparse's own listing and described in the epilog instead:
+ # a flat list hides which target each flag belongs to, and printing both lists each flag twice.
+ p.add_argument("rest", nargs=argparse.REMAINDER, help=argparse.SUPPRESS)
+ p.add_argument("--target", choices=["local", "k8s"], default="local", help=argparse.SUPPRESS)
+ p.add_argument("--division", action="store_true", default=False, help=argparse.SUPPRESS)
+ p.add_argument("--name", default=None, help=argparse.SUPPRESS)
+ p.add_argument("--env", action="append", default=[], metavar="KEY=VALUE", dest="extra_env",
+ help=argparse.SUPPRESS)
+ p.add_argument("--forward", action="append", default=[], metavar="VAR", help=argparse.SUPPRESS)
+ p.add_argument("--mount", action="append", default=[], metavar="PATH", help=argparse.SUPPRESS)
+ p.add_argument("--namespace", default=None, help=argparse.SUPPRESS)
+ p.add_argument("--storage-class", default=None, dest="storage_class", help=argparse.SUPPRESS)
+ p.add_argument("--context", default=None, help=argparse.SUPPRESS)
+ p.add_argument("--image", default=None, help=argparse.SUPPRESS)
+ # `rm` prompts before deleting an active runtime and the cluster upload prompts on a secret-scan
+ # finding; `--yes` skips both, for automation.
+ p.add_argument("--yes", action="store_true", default=False, help=argparse.SUPPRESS)
+ _PARSER = p
+ return p
+
+
+def _verify(args: argparse.Namespace) -> int:
+ if args.target == "k8s":
+ from factory.contained.k8s_setup import verify_k8s
+ from factory.contained.prereq import format_check, summary_line
+
+ # Streamed for the same reason `setup` streams: the cluster checks take minutes between
+ # them, and silence until the last one lands is indistinguishable from a hang.
+ checks = verify_k8s(
+ namespace=args.namespace, division=args.division,
+ on_check=lambda c: print(format_check(c), flush=True),
+ )
+ print()
+ print(summary_line(checks, ready_command="factory contained --target k8s -- ceo <path>"))
+ return 0 if all(c.ok for c in checks) else 1
+ checks = local_checks()
+ print(render_checks(checks))
+ return 0 if all(c.ok for c in checks) else 1
+
+
+def cmd_contained(args: argparse.Namespace) -> int:
+ """Run the factory inside a container (local) or a pod (k8s).
+
+ Ctrl-C is caught here rather than allowed to unwind. Backing out of a wizard partway through is
+ an ordinary thing to do — the flow is a sequence of questions and someone will always change
+ their mind at question three — and answering that with a stack trace reads as a crash the user
+ caused. The two exit paths that need their own message (a container that may still be running,
+ a namespace left half-prepared) handle it closer in and never reach this.
+ """
+ try:
+ return _dispatch(args)
+ except KeyboardInterrupt:
+ print("\nStopped.", file=sys.stderr)
+ return 130 # what a shell expects from a process killed by SIGINT
+
+
+def _dispatch(args: argparse.Namespace) -> int:
+ assert _PARSER is not None, "build_contained_parser must run before cmd_contained"
+ interpret(_PARSER, args)
+
+ if getattr(args, "context", None):
+ # Pinned once, here, for every cluster command this invocation issues. `factory/contained/
+ # k8s.py:cli()` is the single place it is applied, so nothing downstream has to remember.
+ from factory.contained.k8s import set_active_context
+
+ set_active_context(args.context)
+
+ if args.subcommand == HELP_SUBCOMMAND:
+ _PARSER.print_help()
+ return 0
+ if args.subcommand == "verify":
+ return _verify(args)
+ if args.subcommand == "setup":
+ return run_setup(
+ args.target if target_given(args) else None,
+ interactive=sys.stdin.isatty(),
+ namespace=args.namespace,
+ division=args.division,
+ assume_yes=args.yes,
+ )
+ if args.subcommand == "bundle":
+ from factory.contained.bundle import render_bundle
+ from factory.podman import resolve_image
+
+ print(render_bundle(namespace=args.namespace, storage_class=args.storage_class,
+ division=args.division, image=args.image or resolve_image()))
+ return 0
+ if args.subcommand:
+ return dispatch_lifecycle(args)
+
+ if args.target == "k8s":
+ from factory.cli.contained_k8s import run_k8s
+
+ return run_k8s(args)
+
+ return run_local(args)
diff --git a/factory/cli/contained_args.py b/factory/cli/contained_args.py
new file mode 100644
index 000000000..722fbfa07
--- /dev/null
+++ b/factory/cli/contained_args.py
@@ -0,0 +1,285 @@
+"""How `factory contained`'s command line is read — separate from what it then does.
+
+`contained` has two positional shapes sharing one parser: a lifecycle subcommand (`ls`, `rm`, …)
+and a verbatim payload after `--`. argparse cannot express that split declaratively — an optional
+positional carrying `choices` would try to match the first word of the payload and reject it as an
+invalid choice — so a single `REMAINDER` swallows everything and `interpret` divides it afterwards.
+
+Everything in this module is about *reading* the command line: which shape it is, which flags are
+in scope for the chosen target, the help text that says so, and the two readers that look inside the
+verbatim payload — the project directory a run works on, and `--env`. Nothing here provisions
+anything, which is why both runtimes can share it without either one importing the other.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import sys
+from pathlib import Path
+
+import structlog
+
+from factory.contained.errors import ContainedError
+
+log = structlog.get_logger()
+
+LIFECYCLE_SUBCOMMANDS = ("ls", "attach", "rm", "sync", "setup", "verify", "bundle")
+
+# `help` is not a lifecycle subcommand — it provisions nothing and acts on no runtime — but it is
+# what people type, and without it the word falls through to the passthrough path and fails with
+# "no existing directory found in ['help']", a message about materializing workspaces for what is a
+# request to read the manual.
+HELP_SUBCOMMAND = "help"
+
+# Lifecycle subcommands that act on one named runtime, so a name is not optional for them.
+_NAMED_SUBCOMMANDS = ("attach", "rm", "sync")
+
+# Flags whose meaning exists only for one runtime. Using one against the other is a mistake worth
+# naming: silently ignoring it makes a user believe a namespace or a mount took effect.
+_LOCAL_ONLY = ("mount",)
+_K8S_ONLY = ("namespace", "storage_class", "context")
+
+# Flags are described here rather than in argparse's own listing: which target a flag belongs to is
+# the thing a user most needs to know, and a flat alphabetical list hides it.
+HELP_EPILOG = """\
+Run any factory command against a pinned toolchain and a copy of your project, so your
+working tree is untouched. Everything after `--` is passed through unchanged.
+
+ factory contained -- ceo ~/code/my-project
+
+Targets:
+ local a podman container on this machine (the default). Fastest to start.
+ k8s a pod on a Kubernetes/OpenShift cluster. For long, unattended runs.
+
+Subcommands:
+ setup Install what is missing, then check it
+ verify Check prerequisites; report the fix for each failure
+ ls List the runtimes this tool created
+ attach NAME Watch a running run (Ctrl-b d detaches; the run continues)
+ sync NAME Show how to get the run's work back
+ rm NAME Delete a runtime
+ bundle Print the cluster prerequisites as YAML (k8s)
+ help Print this text (same as --help)
+
+Both targets:
+ --target local|k8s Which runtime (default: local)
+ --division Let the agent build container images
+ --name NAME Name this run (default: derived)
+ --env KEY=VALUE Extra environment for the run, repeatable
+ --forward VAR Pass a variable from your shell inward, repeatable
+ --image REF Use a different runtime image
+ --yes Skip confirmation prompts
+
+Local only:
+ --mount PATH Also mount this host path, repeatable
+
+K8s only:
+ --namespace NS Namespace (default: your current context)
+ --context NAME Which kubeconfig context to use (default: your current one)
+ --storage-class SC Storage class for the workspace volume
+
+Environment:
+ FACTORY_CONTAINED_IMAGE Runtime image to use
+ FACTORY_CONTAINED_HOME Where workspace copies live (default ~/.factory-contained)
+ FACTORY_CONTAINED_DRY_RUN=1 Print what would run; provision nothing
+
+`contained` gives a run a reproducible environment and keeps it off your working tree.
+It is not a security sandbox: it does not restrict what the agent's code can do, and it
+does not replace reviewing the result. `--division` additionally opens an unauthenticated
+build endpoint on this machine for the length of the run.
+
+Full guide: https://akashgit.github.io/remote-factory/contained/
+"""
+
+
+def interpret(parser: argparse.ArgumentParser, args: argparse.Namespace) -> None:
+ """Split the positional remainder and check flag scoping. Call once, before anything else.
+
+ argparse offers no post-parse hook, so this is invoked explicitly — by `cmd_contained`, and by
+ the tests, which must exercise the same interpretation the CLI performs.
+
+ Sets `args.subcommand` and `args.factory_args` always; `args.name` only when a lifecycle
+ positional supplies one. `--name` is parsed onto `args.name` before this runs, and the
+ verbatim-payload branches must leave it alone — otherwise a run like
+ `contained --name foo -- study /p` would have its explicit name overwritten with None here.
+ """
+ _split_positional(parser, args)
+
+ # `bundle` only ever emits cluster YAML, so it implies the cluster target. Without this the
+ # namespace flag it needs is rejected as out-of-scope for the default target, and the command
+ # the generated manifest tells you to run cannot be run.
+ if args.subcommand == "bundle":
+ args.target = "k8s"
+
+ _reject_out_of_scope_flags(parser, args)
+
+ if args.subcommand in _NAMED_SUBCOMMANDS and not args.name:
+ parser.error(f"`factory contained {args.subcommand}` needs a runtime name. Try `ls`.")
+ if not args.subcommand and not args.factory_args:
+ parser.error(
+ "`factory contained` expects a factory command after `--`, for example:\n"
+ " factory contained -- ceo ~/code/my-project\n"
+ " factory contained --division -- study ~/code/my-project"
+ )
+
+
+def _split_positional(parser: argparse.ArgumentParser, args: argparse.Namespace) -> None:
+ """Decide which of the four positional shapes was typed, and set `subcommand`/`factory_args`."""
+ rest = list(args.rest)
+ if rest and rest[0] == "--": # argparse leaves the separator inside a REMAINDER
+ args.subcommand, args.factory_args = None, rest[1:]
+ elif rest and rest[0] == HELP_SUBCOMMAND:
+ # Handled here rather than by argparse so that `help` behaves like `--help` without the
+ # payload separator: everything after it is discarded, because there is no per-subcommand
+ # help to select and silently ignoring `help ls` would imply there is.
+ args.subcommand, args.factory_args = HELP_SUBCOMMAND, []
+ elif rest and rest[0] in LIFECYCLE_SUBCOMMANDS:
+ args.subcommand, args.factory_args = rest[0], []
+ _read_lifecycle_tail(parser, args, rest[1:])
+ else:
+ args.subcommand, args.factory_args = None, rest
+ _reject_subcommand_typo(parser, rest)
+
+
+def _read_lifecycle_tail(
+ parser: argparse.ArgumentParser, args: argparse.Namespace, tail: list[str]
+) -> None:
+ """What may follow a lifecycle subcommand: a runtime name, and `--yes`. Nothing else."""
+ # `--yes` is the one trailing flag accepted here, because `rm <name> --yes` is the order
+ # people type it. It is documented as the exception; every other flag in this position is
+ # rejected below rather than silently dropped.
+ if "--yes" in tail:
+ args.yes = True
+ tail = [token for token in tail if token != "--yes"]
+ # Everything else that looks like a flag here is a mistake worth naming, not swallowing.
+ # The REMAINDER split means `--target k8s` typed *after* the subcommand never reaches
+ # `args.target` — it lands here as a plain string instead, so a silent absorption would
+ # leave `args.target` at its default ("local") while the user believes they asked for k8s,
+ # and would hand a lifecycle command a name like "--target" to resolve.
+ flag_like = [token for token in tail if token.startswith("-")]
+ if flag_like:
+ parser.error(
+ f"unrecognized flag {flag_like[0]!r} after `factory contained "
+ f"{args.subcommand}`. Runtime flags (--target, --namespace, --name, ...) go before "
+ f"the subcommand, for example:\n"
+ f" factory contained --target k8s {args.subcommand}"
+ )
+ # Only the positional overrides `--name` here, and only when one was actually given —
+ # `ls` takes no name.
+ if tail:
+ args.name = tail[0]
+
+
+def _reject_out_of_scope_flags(
+ parser: argparse.ArgumentParser, args: argparse.Namespace
+) -> None:
+ """A flag that belongs to the other target is named, never quietly ignored."""
+ for dest in _LOCAL_ONLY:
+ if getattr(args, dest) and args.target != "local":
+ parser.error(f"--{dest.replace('_', '-')} only applies to --target local")
+ for dest in _K8S_ONLY:
+ if getattr(args, dest) and args.target != "k8s":
+ parser.error(f"--{dest.replace('_', '-')} only applies to --target k8s")
+
+
+def _reject_subcommand_typo(parser: argparse.ArgumentParser, rest: list[str]) -> None:
+ """Catch `lst` for `ls` before it is treated as a factory command.
+
+ Without this the token falls through to the passthrough path and fails much later with "no
+ existing directory found in ['lst']" — a message about materializing workspaces, for what is
+ simply a typo.
+ """
+ if not rest:
+ return
+ first = rest[0]
+ if first.startswith("-") or Path(first).expanduser().exists():
+ return
+ close = [
+ c for c in (*LIFECYCLE_SUBCOMMANDS, HELP_SUBCOMMAND) if _within_one_edit(first, c)
+ ]
+ if close:
+ parser.error(
+ f"unknown subcommand {first!r} — did you mean {close[0]!r}?\n"
+ f" factory contained {close[0]}"
+ )
+
+
+def _within_one_edit(a: str, b: str) -> bool:
+ """A cheap edit-distance-1 check: one substitution, insertion, or deletion."""
+ if a == b:
+ return True
+ if abs(len(a) - len(b)) > 1:
+ return False
+ if len(a) == len(b):
+ return sum(x != y for x, y in zip(a, b)) == 1
+ shorter, longer = (a, b) if len(a) < len(b) else (b, a)
+ for index in range(len(longer)):
+ if shorter == longer[:index] + longer[index + 1:]:
+ return True
+ return False
+
+
+def target_given(args: argparse.Namespace) -> bool:
+ """Whether the user actually typed `--target`, not just landed on its default.
+
+ `--target` defaults to `"local"` (never `None`), so the parsed value alone cannot tell "the user
+ asked for local" from "the user didn't say" — and only the second case should trigger
+ `run_setup`'s interactive question. Recognizes both the space form (`--target local`) and the
+ equals form; an explicit `--target=local` must not be mistaken for "didn't say".
+ """
+ return any(token == "--target" or token.startswith("--target=") for token in sys.argv)
+
+
+def validate_env_args(args: argparse.Namespace) -> tuple[dict[str, str], dict[str, str]]:
+ """Check `--env` and `--forward` before anything is created.
+
+ Both cost nothing to validate and everything to validate late: by the time the plan is built the
+ workspace copy already exists and a container probe has run, so a typo would be reported after
+ real work — or masked by an unrelated failure in between.
+ """
+ extra = parse_extra_env(args.extra_env)
+ forwarded: dict[str, str] = {}
+ for name in args.forward:
+ value = os.environ.get(name)
+ if value is None:
+ raise ContainedError(f"--forward {name}: not set in this environment")
+ forwarded[name] = value
+ return extra, forwarded
+
+
+def parse_extra_env(pairs: list[str]) -> dict[str, str]:
+ """Parse repeated `--env KEY=VALUE` into a mapping, rejecting anything malformed."""
+ parsed: dict[str, str] = {}
+ for pair in pairs:
+ key, sep, value = pair.partition("=")
+ if not sep or not key.strip():
+ raise ContainedError(
+ f"--env {pair!r} is not KEY=VALUE. Each --env takes one variable, and the value may "
+ "be empty but the '=' may not be omitted."
+ )
+ parsed[key.strip()] = value
+ return parsed
+
+
+def resolve_project(factory_args: list[str]) -> Path:
+ """The first existing directory named in the payload — the project a run works on.
+
+ Everything after `--` is opaque to the host: it is not parsed as `factory ceo`'s own
+ flags, so the one thing that can safely be assumed is that a contained run always starts from a
+ project already on this machine, somewhere in that payload.
+ """
+ for token in factory_args:
+ candidate = Path(token).expanduser()
+ if candidate.is_dir():
+ resolved = candidate.resolve()
+ # The rule is generic — the first existing directory anywhere in the payload — so a
+ # free-text value that coincidentally names one is picked silently otherwise. Logging it
+ # is what keeps that visible.
+ log.debug("contained_project_resolved", argument=token, project=str(resolved))
+ return resolved
+ raise ContainedError(
+ f"no existing directory found in {factory_args!r}. `factory contained` materializes a "
+ "workspace from a project already on this machine, for example:\n"
+ " factory contained -- ceo ~/code/my-project"
+ )
diff --git a/factory/cli/contained_k8s.py b/factory/cli/contained_k8s.py
new file mode 100644
index 000000000..924d67530
--- /dev/null
+++ b/factory/cli/contained_k8s.py
@@ -0,0 +1,362 @@
+"""Running the factory in a cluster pod.
+
+The sequence, and why it is this sequence:
+
+1. **Materialize** the same workspace copy the local target uses — the run starts from the files on
+ this machine, uncommitted changes included, and that rule does not change because the
+ destination is remote.
+2. **Scan** it for secrets, because from here it leaves the machine.
+3. **Pack** it into one tarball. `oc cp` of a tree is one API round trip per file.
+4. **Create** the pod, whose initContainer blocks waiting for the workspace.
+5. **Stream** the tarball into that initContainer, which unpacks it and exits.
+6. **Assert** provenance inside the pod, before the factory starts — the packer copies what it is
+ told, so the filtered-transfer trap that a bind mount removed locally is live here.
+7. **Start** the run in tmux.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import shlex
+import subprocess
+import sys
+import tarfile
+from pathlib import Path
+
+import structlog
+
+from factory.contained.credentials import resolve_credentials, vertex_model_warning
+from factory.contained.env import CONTAINED_ENV_POLICY
+from factory.contained.errors import ContainedError
+from factory.contained.k8s import (
+ FACTORY_CONTAINER,
+ LABEL_CONTAINED,
+ LABEL_NAME,
+ LABEL_PROJECT,
+ LOADER_CONTAINER,
+ PVC_NAME,
+ WORKSPACE_ROOT,
+ ClusterError,
+ PodPlan,
+ apply_manifest,
+ build_pod_exec_argv,
+ render_pod,
+ render_pvc,
+ ADC_PATH,
+ ADC_SECRET_KEY,
+ SECRET_NAME,
+ namespace_fs_group,
+ secret_keys,
+ resolve_sidecar_image,
+ resolve_namespace,
+ stream_workspace,
+ wait_for_container,
+)
+from factory.contained.paths import rewrite_argv
+from factory.contained.provenance import content_probe, provenance_probes
+from factory.contained.secrets import confirm_upload, scan
+from factory.contained.workspace import (
+ Workspace,
+ WorkspaceError,
+ contained_home,
+ materialize,
+ plan_workspace,
+)
+from factory.podman import (
+ TMUX_SESSION,
+ build_run_command,
+ container_name,
+ dry_run_enabled,
+ growth_context_warning,
+ project_hash,
+ resolve_image,
+)
+
+log = structlog.get_logger()
+
+# Directories that must never be packed. They are large, they are host-shaped, and an arm64 .venv
+# unpacked onto an amd64 node is actively wrong rather than merely wasteful. `.git` is *not* here:
+# without it the pod reports no_repo, the CEO silently drops to build mode, and the eventual error
+# names a flag several steps from the cause.
+PACK_EXCLUDES = frozenset({
+ ".venv", "node_modules", "__pycache__", ".pytest_cache", ".ruff_cache", ".mypy_cache",
+ ".factory-worktrees",
+})
+
+
+def run_k8s(args: argparse.Namespace) -> int:
+ """Provision a cluster pod and start the run in it."""
+ dry_run = dry_run_enabled()
+ try:
+ from factory.cli.contained_args import resolve_project
+
+ project = resolve_project(args.factory_args)
+ namespace = resolve_namespace(args.namespace)
+ if args.division:
+ _require_openshift(dry_run)
+ run_id = args.name or container_name(project)
+ # Self-contained: nothing from this machine is mounted in a pod, so the copy has to carry
+ # its own .git rather than a pointer to one (see `plan_workspace`).
+ ws = (
+ plan_workspace(project, run_id, self_contained=True) if dry_run
+ else materialize(project, run_id, self_contained=True)
+ )
+ plan = _build_pod_plan(args, ws, namespace, run_id, dry_run=dry_run)
+ except (ContainedError, WorkspaceError) as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 2
+
+ for warning in (growth_context_warning(), *plan.warnings):
+ if warning:
+ print(f"Warning: {warning}", file=sys.stderr)
+
+ if dry_run:
+ return _emit_dry_run(plan, args)
+
+ try:
+ if not _scan_and_confirm(ws, assume_yes=args.yes):
+ return 1
+ from factory.contained.usage import record_target
+
+ record_target("k8s")
+ tarball = _pack(ws, run_id)
+ _provision(plan, tarball)
+ return _start(plan, ws, project)
+ except ClusterError as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 1
+
+
+def _require_openshift(dry_run: bool) -> None:
+ """Refuse at launch, naming the reason (spec.6 step 1).
+
+ Detected by API presence rather than by the `oc` binary. A run that gets as far as submitting a
+ Build the cluster will never admit has already spent a workspace upload and a pod start.
+ """
+ if dry_run:
+ return
+ from factory.contained.k8s_division import openshift_available
+
+ if not openshift_available():
+ raise ClusterError(
+ "--target k8s --division needs the OpenShift Build API (build.openshift.io), which "
+ "this cluster does not serve. Plain-Kubernetes builds are out of scope by decision: "
+ "rootless buildah, kaniko and buildkit all depend on a /proc/self/uid_map write these "
+ "nodes deny. Run without --division — the factory still runs, it just cannot build "
+ "images."
+ )
+
+
+def _project_dir(ws: Workspace) -> str:
+ """Where the project lands in the pod. Unlike the local target this is not path-preserving —
+ nothing outside the pod resolves it."""
+ return f"{WORKSPACE_ROOT}/{ws.source.name}"
+
+
+def _build_pod_plan(
+ args: argparse.Namespace, ws: Workspace, namespace: str, run_id: str, *, dry_run: bool = False
+) -> PodPlan:
+ """Compose the pod plan.
+
+ `dry_run` is not a cosmetic flag. Two of the values below are read from the *cluster* — the
+ namespace's allocated fsGroup range and whether the credentials Secret carries a Google
+ credential file. `FACTORY_CONTAINED_DRY_RUN=1` promises to compose commands and provision
+ nothing, and a promise that still opens a connection is not one; on an unreachable cluster it
+ is also a 30-second timeout apiece for a command that should return instantly.
+ """
+ warnings: list[str] = []
+ project_dir = _project_dir(ws)
+
+ shape = resolve_credentials()
+ # The pod's credentials come from the namespace Secret, not from this machine. What crosses here
+ # is configuration only — the Secret is mounted with `envFrom` and the factory never reads it.
+ env = CONTAINED_ENV_POLICY.resolve(dict(os.environ))
+ for name in args.forward:
+ value = os.environ.get(name)
+ if value is None:
+ raise ContainedError(f"--forward {name}: not set in this environment")
+ env[name] = value
+ from factory.cli.contained_args import parse_extra_env
+
+ env.update(parse_extra_env(args.extra_env))
+
+ model_warning = vertex_model_warning(shape, args.factory_args)
+ if model_warning:
+ warnings.append(model_warning)
+ if any(_is_secretish(key) for key in env):
+ warnings.append(
+ "a credential-looking variable is being forwarded into the pod manifest, where it is "
+ "visible to anyone who can read pods in the namespace. The credentials Secret is "
+ "the supported route."
+ )
+
+ factory_argv, changes = rewrite_argv(args.factory_args, ws.source, project_dir)
+ for before, after in changes:
+ log.debug("contained_path_rewritten", before=before, after=after)
+ inner = "factory " + " ".join(shlex.quote(token) for token in factory_argv)
+
+ mcp_config: dict[str, object] | None = None
+ files: dict[str, str] = {}
+ if args.division:
+ from factory.contained import k8s_division
+
+ mcp_config = k8s_division.mcp_config(namespace)
+ files = k8s_division.division_files(namespace, run_id)
+
+ # A Google credential has to arrive as a file, so the launch has to know whether one is there.
+ # Keys only — the value never leaves the cluster.
+ # Both of these are live cluster reads, so dry-run projects instead of asking. The projection
+ # is stated in the dry-run output rather than left to look like fact.
+ adc = not dry_run and ADC_SECRET_KEY in secret_keys(SECRET_NAME, namespace)
+ if adc:
+ env["GOOGLE_APPLICATION_CREDENTIALS"] = ADC_PATH
+
+ return PodPlan(
+ name=run_id,
+ namespace=namespace,
+ image=args.image or resolve_image(),
+ project_dir=project_dir,
+ env=env,
+ labels={
+ LABEL_CONTAINED: "true",
+ LABEL_PROJECT: project_hash(ws.source),
+ LABEL_NAME: run_id,
+ },
+ run_command=build_run_command(project_dir, inner, mcp_config=mcp_config, files=files),
+ factory_command=inner,
+ storage_class=args.storage_class,
+ division=args.division,
+ fs_group=None if dry_run else namespace_fs_group(namespace),
+ sidecar_image=resolve_sidecar_image(),
+ adc=adc,
+ warnings=tuple(warnings),
+ )
+
+
+def _is_secretish(key: str) -> bool:
+ from factory.contained.env import is_secret_key
+
+ return is_secret_key(key)
+
+
+def _scan_and_confirm(ws: Workspace, *, assume_yes: bool) -> bool:
+ """Nothing leaves the machine before this returns True."""
+ result = scan(ws.path)
+ return confirm_upload(result, assume_yes=assume_yes)
+
+
+def _pack(ws: Workspace, run_id: str) -> Path:
+ """Pack the workspace into one tarball, under its own directory name.
+
+ Packed as `<project>/...` rather than `./...` so it unpacks to `/workspace/<project>`, which is
+ the path everything downstream — the working directory, the rewritten payload, the provenance
+ probes — already agrees on.
+ """
+ destination = contained_home() / run_id / "upload.tar.gz"
+ destination.parent.mkdir(parents=True, exist_ok=True)
+
+ def _filter(entry: tarfile.TarInfo) -> tarfile.TarInfo | None:
+ parts = set(Path(entry.name).parts)
+ return None if parts & PACK_EXCLUDES else entry
+
+ with tarfile.open(destination, "w:gz") as archive:
+ archive.add(ws.path, arcname=ws.source.name, filter=_filter)
+ log.debug("contained_packed", path=str(destination), bytes=destination.stat().st_size)
+ return destination
+
+
+def _provision(plan: PodPlan, tarball: Path) -> None:
+ """Create the claim and the pod, then stream the workspace into the waiting loader."""
+ apply_manifest(render_pvc(plan.namespace, plan.storage_class), plan.namespace)
+ apply_manifest(render_pod(plan), plan.namespace)
+ # The identifier first, before any long-running work: a run whose name the user cannot see is a
+ # run they cannot manage.
+ print(plan.name)
+ state = wait_for_container(plan.name, plan.namespace, LOADER_CONTAINER)
+ if state == "running":
+ stream_workspace(tarball, plan.name, plan.namespace)
+ else:
+ # Already unpacked for *this* run — the pod restarted after a successful upload. The marker
+ # is per-run, so this can never mean "a previous run's files are already here".
+ log.debug("contained_workspace_already_present", pod=plan.name)
+ wait_for_container(plan.name, plan.namespace, FACTORY_CONTAINER)
+
+
+def _start(plan: PodPlan, ws: Workspace, project: Path) -> int:
+ """Assert provenance inside the pod, then start the run."""
+ probes = provenance_probes(
+ plan.project_dir,
+ expect_factory_state=(project / ".factory" / "config.json").exists(),
+ expect_git=(project / ".git").exists(),
+ content=content_probe(ws.path),
+ )
+ for probe in probes:
+ argv = build_pod_exec_argv(plan.name, plan.namespace, probe.argv)
+ result = subprocess.run(argv, capture_output=True, text=True, timeout=180)
+ if result.returncode != 0:
+ print(
+ f"contained: assertion '{probe.name}' failed in pod {plan.name}\n {probe.hint}\n"
+ f" The pod is still there for inspection:\n"
+ f" oc exec -it {plan.name} -n {plan.namespace} -- sh\n"
+ f" factory contained --target k8s rm {plan.name}",
+ file=sys.stderr,
+ )
+ return 1
+
+ # A pod of this name may already be mid-run: `apply` is idempotent, so a re-invocation reuses it
+ # rather than failing, and the tmux launch then collides with the session already there. Raw,
+ # that surfaces as "duplicate session: factory", which names tmux for what is really "you
+ # already have this run". The local target has the same shape of check on container creation.
+ existing = subprocess.run(
+ build_pod_exec_argv(plan.name, plan.namespace, ["tmux", "has-session", "-t", TMUX_SESSION]),
+ capture_output=True, text=True, timeout=120,
+ )
+ if existing.returncode == 0:
+ print(
+ f"contained: {plan.name} is already running a session — this is the same run, not a new "
+ f"one.\n"
+ f" attach: factory contained --target k8s attach {plan.name}\n"
+ f" restart: factory contained --target k8s rm {plan.name}, then run this again",
+ file=sys.stderr,
+ )
+ return 1
+
+ launch = build_pod_exec_argv(
+ plan.name, plan.namespace,
+ ["sh", "-lc", _tmux_launch(plan)],
+ )
+ result = subprocess.run(launch, capture_output=True, text=True, timeout=180)
+ if result.returncode != 0:
+ print(f"contained: starting the run failed: {result.stderr.strip()}", file=sys.stderr)
+ return 1
+ print(f" attach: factory contained --target k8s attach {plan.name}")
+ print(f" result: factory contained --target k8s sync {plan.name}")
+ print(f" logs: oc logs -f {plan.name} -n {plan.namespace} -c {FACTORY_CONTAINER}")
+ return 0
+
+
+def _tmux_launch(plan: PodPlan) -> str:
+ from factory.podman import build_tmux_launch
+
+ return build_tmux_launch(plan.project_dir, plan.run_command)
+
+
+def _emit_dry_run(plan: PodPlan, args: argparse.Namespace) -> int:
+ """Print the manifests and the commands the real path would apply and run, and do neither."""
+ print(f"DRY RUN — {plan.name} in {plan.namespace} ({plan.image}); nothing is provisioned.")
+ # Two fields below are read from the cluster on the real path and cannot be here, because
+ # asking would be provisioning-adjacent contact that dry-run promises not to make. Saying so
+ # is the difference between a projection and a quiet inaccuracy.
+ print(
+ "Note: fsGroup is shown unset and no credentials volume is shown — both are read from the "
+ "namespace at launch. The real pod may carry either.",
+ file=sys.stderr,
+ )
+ print(f"[apply] pvc/{PVC_NAME}")
+ print(render_pvc(plan.namespace, plan.storage_class))
+ print(f"[apply] pod/{plan.name}")
+ print(render_pod(plan))
+ print(f"[upload] {shlex.join(build_pod_exec_argv(plan.name, plan.namespace, ['sh', '-c', 'tar xzf - -C ' + WORKSPACE_ROOT], container=LOADER_CONTAINER))}")
+ print(f"[run] {shlex.join(build_pod_exec_argv(plan.name, plan.namespace, ['sh', '-lc', _tmux_launch(plan)]))}")
+ return 0
diff --git a/factory/cli/contained_local.py b/factory/cli/contained_local.py
new file mode 100644
index 000000000..2456f7191
--- /dev/null
+++ b/factory/cli/contained_local.py
@@ -0,0 +1,463 @@
+"""The local runtime path: one podman container on this machine.
+
+The peer of `factory/cli/contained_k8s.py`, which does the same for a cluster pod. `contained.py`
+registers the parser and decides which of the two a command lands in; neither of them knows about
+the other, and both take the interpreted `argparse.Namespace` and nothing else.
+
+Everything here is about *one run*: compose its plan, assert its provenance, execute the steps, and
+undo the workspace when the launch never got far enough for the workspace to be worth keeping.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import platform
+import shlex
+import shutil
+import subprocess
+import sys
+from pathlib import Path
+
+import structlog
+
+from factory.cli.contained_args import resolve_project, validate_env_args
+from factory.contained.credentials import resolve_credentials, vertex_model_warning
+from factory.contained.env import CONTAINED_ENV_POLICY, redact_argv
+from factory.contained.errors import ContainedError
+from factory.contained.identity import IdentityError, resolve_identity
+from factory.contained.lifecycle import reap_stale
+from factory.contained.paths import rewrite_argv
+from factory.contained.provenance import Probe, content_probe, provenance_probes
+from factory.contained.workspace import (
+ Workspace,
+ WorkspaceError,
+ git_common_dir,
+ materialize,
+ plan_workspace,
+)
+from factory.podman import (
+ CONTAINER_HOME,
+ DRY_RUN_ENV,
+ LABEL_CONTAINED,
+ LABEL_NAME,
+ LABEL_PROJECT,
+ LABEL_SOURCE,
+ ContainerPlan,
+ Mount,
+ Step,
+ build_run_command,
+ container_name,
+ dry_run_enabled,
+ growth_context_warning,
+ plan_steps,
+ project_hash,
+ resolve_image,
+)
+
+log = structlog.get_logger()
+
+
+def _macos_share_warning(mounts: list[Mount]) -> str | None:
+ """On macOS a path the podman machine does not share is not mounted at all.
+
+ It does not fail at `podman run` — the mount is simply absent, which surfaces as an empty
+ directory inside. Checked against the machine's *actual* shared paths rather than against
+ `$HOME`: the user may have added their own with `podman machine set --volume`, and warning
+ about a path that in fact works teaches them to ignore the warning.
+ """
+ if platform.system() != "Darwin":
+ return None
+ shared = _machine_shared_paths()
+ if not shared:
+ return None
+ outside = [
+ str(m.source) for m in mounts
+ if not any(root == m.source or root in m.source.parents for root in shared)
+ ]
+ if not outside:
+ return None
+ roots = ", ".join(str(r) for r in shared)
+ return (
+ f"{', '.join(outside)} is not a path the podman machine shares (it shares: {roots}), so it "
+ "will be empty inside the container. Move the project under one of those paths, or add "
+ "this one with `podman machine set --volume` and restart the machine."
+ )
+
+
+def _machine_shared_paths() -> list[Path]:
+ """The host paths the podman machine actually shares, or [] when that cannot be determined."""
+ try:
+ result = subprocess.run(
+ ["podman", "machine", "inspect", "--format", "{{range .Mounts}}{{.Source}}\n{{end}}"],
+ capture_output=True, text=True, timeout=30,
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return []
+ if result.returncode != 0:
+ return []
+ paths = [Path(line.strip()) for line in result.stdout.splitlines() if line.strip()]
+ return [p for p in paths if p.is_absolute()]
+
+
+def _compose_env(
+ shape_env: dict[str, str], forwarded: dict[str, str], extra: dict[str, str]
+) -> dict[str, str]:
+ """`FACTORY_` by default, plus the backend variables, plus exactly what `--forward` names.
+
+ Nothing implicit. `--env` is applied last because it is the documented escape hatch for backend
+ quirks, and an escape hatch that loses to a computed default is not one.
+ """
+ env = CONTAINED_ENV_POLICY.resolve(dict(os.environ))
+ env["HOME"] = CONTAINER_HOME
+ env.update(shape_env)
+ env.update(forwarded)
+ env.update(extra)
+ return env
+
+
+def _build_plan(args: argparse.Namespace, ws: Workspace, *, dry_run: bool) -> ContainerPlan:
+ """Compose the provisioning plan for one local run.
+
+ The project is a bind mount, not an upload, so the plan carries no project transfer and none of
+ the `.gitignore` handling a transfer needs. What replaces it is the provenance probe list
+ : a mount can be present, empty, stale, or read-only, and all four look identical until
+ something is asserted.
+ """
+ warnings: list[str] = []
+ image = args.image or resolve_image()
+
+ extra_env, forwarded = validate_env_args(args)
+
+ # The workspace is mounted at its own absolute path — identical inside and out. Not cosmetic:
+ # the local division's builds are executed by an engine *outside* the container, which
+ # resolves the build-context path in its own filesystem namespace.
+ workspace_mount = Mount(source=ws.path, target=str(ws.path))
+ mounts: list[Mount] = [workspace_mount]
+
+ factory_home = Path("~/.factory").expanduser()
+ if factory_home.is_dir():
+ # Read-write: config, credential profiles, the registry and ACE-evolved playbooks work as on
+ # the host and keep accumulating.
+ mounts.append(Mount(factory_home, f"{CONTAINER_HOME}/.factory"))
+
+ if ws.kind == "worktree":
+ # A worktree's .git is a *file* pointing at the original repository's object store. Without
+ # that store mounted, every git command inside fails on a path that exists on the host and
+ # not in the container — and the `git_usable` probe is what catches it.
+ #
+ # **Read-write, and the design said read-only.** Correcting.2 with what running it
+ # showed: the CEO creates its own experiment worktrees at `<project>/.factory-worktrees/`
+ #, and `git worktree add` writes into the *common* dir — a ref lock, a worktree
+ # registration, objects. Read-only, the first cycle dies on
+ # "cannot lock ref ...: Read-only file system", which reads as a git bug rather than a mount
+ # mode. Nothing else in the design works around it: the copy has to be a valid worktree
+ # parent, and a valid worktree parent has a writable common dir.
+ #
+ # The cost, stated rather than buried: the container can write the source repository's git
+ # directory. "The host tree is untouched" remains true — that is a statement about the
+ # *working* tree — and the object store was already shared by construction, which is what
+ # makes the worktree cheap and what puts the run's branch where `sync`'s merge command can
+ # find it. But the blast radius is the copy *plus* the source repo's `.git`, not the copy
+ # alone.
+ common = git_common_dir(ws.source)
+ if common is not None:
+ mounts.append(Mount(common, str(common)))
+
+ shape = resolve_credentials()
+ for host_path, relative in shape.home_mounts:
+ mounts.append(Mount(host_path, f"{CONTAINER_HOME}/{relative}", read_only=True))
+ warnings.extend(shape.warnings)
+ if not shape.ok:
+ warnings.append(
+ "no inference credentials are configured, so every agent call in this run will fail.\n"
+ " Set one of these before running, and pass it inward:\n"
+ " export ANTHROPIC_API_KEY=... then add: --forward ANTHROPIC_API_KEY\n"
+ " Run `factory contained verify` to check."
+ )
+ model_warning = vertex_model_warning(shape, args.factory_args)
+ if model_warning:
+ warnings.append(model_warning)
+
+ for extra in args.mount:
+ resolved = Path(extra).expanduser().resolve()
+ if not resolved.exists():
+ raise ContainedError(f"--mount {extra}: no such path on this machine")
+ mounts.append(Mount(resolved, str(resolved)))
+
+ share_warning = _macos_share_warning(mounts)
+ if share_warning:
+ warnings.append(share_warning)
+
+ identity = resolve_identity(image, workspace_mount, dry_run=dry_run)
+ log.debug("contained_identity", detail=identity.detail)
+
+ factory_argv, changes = rewrite_argv(args.factory_args, ws.source, ws.path)
+ for before, after in changes:
+ # The rewrite rule is generic — any payload token that resolves to an existing in-project
+ # path gets translated, including a free-text value that coincidentally names one. Logging
+ # every rewrite keeps that visible instead of silent.
+ log.debug("contained_path_rewritten", before=before, after=after)
+
+ inner = "factory " + " ".join(shlex.quote(token) for token in factory_argv)
+ name = args.name or container_name(ws.source)
+ return ContainerPlan(
+ name=name,
+ image=image,
+ workdir=str(ws.path),
+ env=_compose_env(shape.env, forwarded, extra_env),
+ labels={
+ LABEL_CONTAINED: "true",
+ LABEL_PROJECT: project_hash(ws.source),
+ LABEL_NAME: name,
+ LABEL_SOURCE: str(ws.source),
+ },
+ mounts=tuple(mounts),
+ run_command=build_run_command(str(ws.path), inner),
+ factory_command=inner,
+ user=identity.user,
+ userns=identity.userns,
+ warnings=tuple(warnings),
+ )
+
+
+def _emit_dry_run(plan: ContainerPlan, steps: list[Step]) -> int:
+ """Print the exact commands the real path would run, then provision nothing.
+
+ `steps` is the same list `cmd_contained` executes step-by-step — rendering a separately composed
+ command list here is exactly the drift a dry-run contract exists to forbid.
+ """
+ print(f"DRY RUN — {plan.name} ({plan.image}); nothing is provisioned.")
+ for step in steps:
+ print(f"[{step.name}] {shlex.join(redact_argv(step.argv, CONTAINED_ENV_POLICY))}")
+ return 0
+
+
+_NAME_TAKEN_MARKERS = ("already in use", "already exists")
+
+
+def _handle_create_failure(
+ step: Step, result: subprocess.CompletedProcess[str], plan: ContainerPlan
+) -> tuple[subprocess.CompletedProcess[str], str | None]:
+ """When `podman run` fails on a name collision, try to clear it and retry once.
+
+ A failed run that leaves its container behind otherwise blocks every later invocation of the
+ same name behind a bare "name already in use", with nothing pointing at how to get unstuck.
+ `reap_stale` only ever removes a container this factory created and that is no longer running;
+ anything it declines to touch falls through to an actionable message instead of a silent retry,
+ since a name collision could equally mean "you meant to reattach".
+ """
+ if step.name != "create" or not any(m in result.stderr.lower() for m in _NAME_TAKEN_MARKERS):
+ return result, None
+ reaped, detail = reap_stale(plan.name)
+ if reaped:
+ log.debug("contained_create_retry_after_reap", name=plan.name, detail=detail)
+ result = _run_step(step)
+ if result.returncode == 0:
+ return result, None
+ hint = (
+ f"container {plan.name!r} already exists ({detail}). Attach to it with `factory contained "
+ f"attach {plan.name}`, remove it with `factory contained rm {plan.name}`, or pass --name to "
+ "provision under a different name."
+ )
+ return result, hint
+
+
+def _run_step(step: Step) -> subprocess.CompletedProcess[str]:
+ log.debug("contained_step", step=step.name, argv=redact_argv(step.argv, CONTAINED_ENV_POLICY))
+ timeout = 300 if step.name == "create" else 120
+ return subprocess.run(step.argv, capture_output=True, text=True, timeout=timeout, check=False)
+
+
+def _roll_back(ws: Workspace | None) -> None:
+ """Undo a workspace this launch created, when the launch never got as far as running anything.
+
+ Only ever called on the failure path, and only for a copy this invocation made: a reattach to an
+ existing run reuses its workspace, and removing that would destroy live work.
+ """
+ if ws is None or not ws.path.exists():
+ return
+ from factory.contained.workspace import release
+
+ try:
+ release(ws, delete_branch=True)
+ # `release` removes the copy; the run directory that held it is now empty and is ours.
+ run_dir = ws.path.parent
+ if run_dir.is_dir() and not any(run_dir.iterdir()):
+ run_dir.rmdir()
+ except (WorkspaceError, OSError) as exc:
+ # Report rather than mask the original failure, and say exactly what is left over.
+ from factory.contained.workspace import cleanup_hint
+
+ print(f"Note: could not clean up the workspace ({exc}).\n{cleanup_hint(ws)}",
+ file=sys.stderr)
+
+
+def run_local(args: argparse.Namespace) -> int:
+ dry_run = dry_run_enabled()
+ # Bound before the first `try` because the `finally` below has to be able to shut the division
+ # down no matter which step raised — including one that raised before it was ever started.
+ division = None
+ ws: Workspace | None = None
+ try:
+ project = resolve_project(args.factory_args)
+ validate_env_args(args) # before a copy is made, not after
+ run_id = args.name or container_name(project)
+ # Dry-run must not touch the host: no worktree, no branch, no rsync. `plan_workspace`
+ # computes the same path/kind/branch `materialize` would, purely from path and git-repo
+ # detection, without any of `materialize`'s side effects.
+ ws = plan_workspace(project, run_id) if dry_run else materialize(project, run_id)
+ plan = _build_plan(args, ws, dry_run=dry_run)
+ if args.division:
+ from factory.contained.division import start_local_division
+
+ division = start_local_division(plan, dry_run=dry_run)
+ plan = division.plan
+ except (ContainedError, WorkspaceError, IdentityError) as exc:
+ # A half-materialized run is worse than none: reporting and stopping here means the next
+ # attempt starts clean instead of layering on top of a plan already known bad. That includes
+ # the worktree and branch this just added to the *user's* repository — the factory started
+ # nothing, so there is no work to lose, and leaving them behind means the user's own
+ # `git worktree list` grows by one on every failed attempt.
+ _roll_back(ws)
+ print(f"Error: {exc}", file=sys.stderr)
+ return 2
+
+ try:
+ probes = _probes_for(ws, project, dry_run=dry_run)
+ steps = plan_steps(plan, probes)
+
+ # Warnings go to stderr and never change the exit code. Ordered least to most consequential
+ # so the one that will actually break the run is the last thing on screen.
+ for warning in (growth_context_warning(factory_args=args.factory_args), *plan.warnings):
+ if warning:
+ print(f"Warning: {warning}", file=sys.stderr)
+
+ if dry_run:
+ return _emit_dry_run(plan, steps)
+
+ if shutil.which("podman") is None:
+ print(
+ "Error: `podman` is not installed. Run `factory contained setup`, or set "
+ f"{DRY_RUN_ENV}=1 to compose the commands without running them.",
+ file=sys.stderr,
+ )
+ _roll_back(ws)
+ return 1
+
+ from factory.contained.usage import record_target
+
+ record_target("local")
+ _announce(plan)
+ code, created = _execute(plan, steps, probes)
+ _settle_workspace(ws, code=code, created=created)
+ if division is not None and code == 0:
+ # The run outlives this command, so the endpoint it depends on has to as well. `rm`
+ # stops it; the `finally` below only fires for a launch that never got that far.
+ division.keep()
+ division = None
+ return code
+ finally:
+ if division is not None:
+ division.stop()
+
+
+def _probes_for(ws: Workspace, project: Path, *, dry_run: bool) -> list[Probe]:
+ """The assertions that run between provisioning and the first agent call.
+
+ A mount can be present, empty, stale, or read-only, and all four look identical until something
+ is asserted — which is why these exist at all and why a failure leaves the runtime up.
+ """
+ if dry_run:
+ # ws.path does not exist yet — nothing was materialized — so there is nothing there to
+ # read. The source project always exists, so the content_hash probe is composed from it
+ # instead: same argv shape (still checked against ws.path, the eventual runtime
+ # destination), a real digest, but of a projection rather than a measurement.
+ content = content_probe(ws.source)
+ if content is not None:
+ print(
+ "Note: the content_hash probe below is a projection from the source tree — "
+ f"dry-run does not create the copy at {ws.path} it would eventually check "
+ "against.",
+ file=sys.stderr,
+ )
+ else:
+ content = content_probe(ws.path)
+
+ return provenance_probes(
+ str(ws.path),
+ expect_factory_state=(project / ".factory" / "config.json").exists(),
+ expect_git=(project / ".git").exists(),
+ content=content,
+ )
+
+
+def _settle_workspace(ws: Workspace, *, code: int, created: bool) -> None:
+ """What becomes of the copy once the steps have run: kept for inspection, or removed."""
+ if code == 0:
+ return
+ if not created:
+ # Nothing was provisioned, so the workspace this launch made has no purpose and no
+ # contents worth keeping. When a container *was* created the workspace stays: it is what
+ # the user inspects.
+ _roll_back(ws)
+ return
+ from factory.contained.workspace import cleanup_hint
+
+ print(f"\n{cleanup_hint(ws)}", file=sys.stderr)
+
+
+def _announce(plan: ContainerPlan) -> None:
+ """Print the run's identifier before provisioning starts.
+
+ It is knowable as soon as the plan exists, and it is the one line a user needs to keep: without
+ it they cannot attach to, sync, or remove the run they just started.
+ """
+ print(f"Starting {plan.name}")
+ print(f" attach: factory contained attach {plan.name}")
+ print(f" result: factory contained sync {plan.name}")
+ print(f" stop: factory contained rm {plan.name}")
+ print()
+
+
+def _execute(plan: ContainerPlan, steps: list[Step], probes: list[Probe]) -> tuple[int, bool]:
+ """Run the provisioning steps. Returns the exit code and whether a container now exists.
+
+ The caller needs the second value to decide whether the workspace is still worth keeping: a
+ failure before the container exists leaves nothing to inspect, and the copy it made is litter in
+ the user's repository.
+ """
+ hints = {f"assert:{p.name}": p.hint for p in probes}
+ created = False
+ for step in steps:
+ try:
+ result = _run_step(step)
+ except KeyboardInterrupt:
+ print(
+ f"\nInterrupted. The container {plan.name} may still be running the factory — the "
+ "interrupt reached this client, not the container. Stop it with:\n"
+ f" podman stop {plan.name}",
+ file=sys.stderr,
+ )
+ return 130, created
+ create_hint = None
+ if result.returncode != 0:
+ result, create_hint = _handle_create_failure(step, result, plan)
+ if result.returncode != 0:
+ hint = create_hint or hints.get(step.name, result.stderr.strip())
+ print(f"contained: step '{step.name}' failed\n {hint}", file=sys.stderr)
+ if created:
+ # The container survives a failed assertion on purpose: it is the only way to look
+ # at what actually landed in the mount.
+ print(
+ f" The container is still there for inspection:\n"
+ f" podman exec -it {plan.name} sh\n"
+ f" factory contained rm {plan.name}",
+ file=sys.stderr,
+ )
+ return 1, created
+ if step.name == "create":
+ created = True
+
+ print(f"{plan.name} is running.")
+ return 0, created
diff --git a/factory/cli/eval_cmds.py b/factory/cli/eval_cmds.py
new file mode 100644
index 000000000..1791f2e79
--- /dev/null
+++ b/factory/cli/eval_cmds.py
@@ -0,0 +1,171 @@
+"""CLI eval_cmds commands."""
+from __future__ import annotations
+
+import argparse
+import json
+import subprocess
+import structlog
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _read_target_branch, _run
+
+log = structlog.get_logger()
+
+def cmd_eval(args: argparse.Namespace) -> int:
+ from factory.eval.runner import run_eval
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path)
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+ skip_project_eval = getattr(args, "skip_project_eval", False)
+ _emit_cli_event(project_path, "eval.started", {"command": config.eval_command})
+ score = _run(run_eval(
+ config.eval_command, project_path, config.eval_threshold,
+ project_eval=config.project_eval or None,
+ eval_weights=config.eval_weights,
+ skip_project_eval=skip_project_eval,
+ test_timeout=config.test_timeout,
+ ))
+ _emit_cli_event(project_path, "eval.completed", {
+ "composite": score.total,
+ "passed": score.passed,
+ "dimensions": len(score.results),
+ })
+ print(json.dumps(score.model_dump(), indent=2, default=str))
+ return 0 if score.passed else 1
+
+
+def cmd_guard(args: argparse.Namespace) -> int:
+ from factory.eval.guards import check_all
+
+ project_path = Path(args.path)
+
+ # Optionally load scope and fixed surfaces from factory config
+ scope = None
+ fixed_surfaces = None
+ if args.check_scope or args.check_surfaces:
+ from factory.store import ExperimentStore
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+ if args.check_scope:
+ scope = config.scope
+ if args.check_surfaces:
+ fixed_surfaces = config.fixed_surfaces
+
+ violations = check_all(
+ project_path, args.baseline, allowed_scope=scope, fixed_surfaces=fixed_surfaces,
+ )
+ _emit_cli_event(project_path, "guard.completed", {
+ "violations": len(violations),
+ "clean": len(violations) == 0,
+ })
+ if violations:
+ for v in violations:
+ print(f"VIOLATION: {v}")
+ return 1
+ print("clean")
+ return 0
+
+
+def cmd_precheck(args: argparse.Namespace) -> int:
+ """Run hard precheck gate before keep/revert decision."""
+ from factory.precheck import run_precheck
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+
+ # Load history as dicts for anti-pattern matching
+ records = _run(store.load_history())
+ history = [
+ {
+ "id": r.id,
+ "hypothesis": r.hypothesis,
+ "verdict": r.verdict,
+ "delta": r.delta,
+ }
+ for r in records
+ ]
+
+ result = run_precheck(
+ score_before=args.score_before,
+ score_after=args.score_after,
+ threshold=config.eval_threshold,
+ hypothesis=args.hypothesis or "",
+ history=history,
+ project_path=project_path,
+ baseline_sha=args.baseline,
+ allowed_scope=config.scope if args.baseline else None,
+ similarity_threshold=args.similarity_threshold,
+ fixed_surfaces=config.fixed_surfaces if config.fixed_surfaces else None,
+ )
+
+ # Output as JSON for machine consumption
+ output = {
+ "passed": result.passed,
+ "checks": [
+ {"name": c.name, "passed": c.passed, "detail": c.detail}
+ for c in result.checks
+ ],
+ "blocking_failures": result.blocking_failures,
+ }
+ print(json.dumps(output, indent=2))
+
+ _emit_cli_event(project_path, "precheck.completed", {
+ "passed": result.passed,
+ "failures": result.blocking_failures,
+ })
+
+ return 0 if result.passed else 1
+
+
+def cmd_baseline(args: argparse.Namespace) -> int:
+ """Fetch stored eval baseline for a commit from the eval-data branch."""
+ from factory.baseline import fetch_baseline
+
+ project_path = Path(args.path).resolve()
+
+ commit = getattr(args, "commit", None)
+ if not commit:
+ result = subprocess.run(
+ ["git", "merge-base", "HEAD", _read_target_branch(project_path)],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode != 0:
+ print("Error: could not determine merge-base commit.", file=sys.stderr)
+ return 1
+ commit = result.stdout.strip()
+
+ baseline = fetch_baseline(project_path, commit_sha=commit)
+ if baseline is None:
+ print(f"No baseline found for commit {commit[:12]}", file=sys.stderr)
+ return 1
+
+ print(json.dumps(baseline, indent=2, default=str))
+ return 0
+
+
+def cmd_adversarial_state(args: argparse.Namespace) -> int:
+ """Inspect or reset adversarial eval loop state."""
+ from factory.adversarial import (
+ format_adversarial_state,
+ load_adversarial_state,
+ reset_adversarial_state,
+ )
+
+ project_path = Path(args.path).resolve()
+
+ if args.reset:
+ reset_adversarial_state(project_path)
+ print("Adversarial state reset.")
+ return 0
+
+ state = load_adversarial_state(project_path)
+ print(format_adversarial_state(state))
+ return 0
+
diff --git a/factory/cli/graph.py b/factory/cli/graph.py
new file mode 100644
index 000000000..8c652b17e
--- /dev/null
+++ b/factory/cli/graph.py
@@ -0,0 +1,214 @@
+"""Graph subcommands — extract, update, status, query, explain, path."""
+
+from __future__ import annotations
+
+import argparse
+import subprocess
+import sys
+from pathlib import Path
+
+import structlog
+
+from factory.cli._helpers import _emit_cli_event
+
+log = structlog.get_logger()
+
+_GRAPHIFY_TIMEOUT = 60
+
+
+def cmd_graph_extract(args: argparse.Namespace) -> int:
+ """Run graphify extract on a project."""
+ from factory.graph import extract_graph, is_graphify_installed
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ if not is_graphify_installed():
+ print(
+ "Error: graphify CLI not found on PATH. Install with: uv tool install graphifyy",
+ file=sys.stderr,
+ )
+ return 1
+
+ _emit_cli_event(project_path, "graph.extract.started", {"path": str(project_path)})
+ result = extract_graph(project_path)
+ if result is None:
+ print("Error: graph extraction failed (check logs for details)", file=sys.stderr)
+ _emit_cli_event(project_path, "graph.extract.failed", {})
+ return 1
+
+ _emit_cli_event(project_path, "graph.extract.completed", {"output": str(result)})
+ print(f"Graph extracted: {result}")
+ return 0
+
+
+def cmd_graph_update(args: argparse.Namespace) -> int:
+ """Run incremental graphify update on a project."""
+ from factory.graph import is_graph_available, is_graphify_installed, update_graph
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ if not is_graphify_installed():
+ print(
+ "Error: graphify CLI not found on PATH. Install with: uv tool install graphifyy",
+ file=sys.stderr,
+ )
+ return 1
+
+ if not is_graph_available(project_path):
+ print(
+ "No existing graph found — running full extraction instead.",
+ file=sys.stderr,
+ )
+ from factory.graph import extract_graph
+
+ result = extract_graph(project_path)
+ else:
+ result = update_graph(project_path)
+
+ if result is None:
+ print("Error: graph update failed (check logs for details)", file=sys.stderr)
+ return 1
+
+ print(f"Graph updated: {result}")
+ return 0
+
+
+def cmd_graph_status(args: argparse.Namespace) -> int:
+ """Show graph freshness and node/edge counts."""
+ from factory.graph import graph_stats, is_graph_available, is_graph_stale, is_graphify_installed
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ print(f"Project: {project_path}")
+ print(f"Graphify installed: {'yes' if is_graphify_installed() else 'no'}")
+
+ if not is_graph_available(project_path):
+ print("Graph: not available (run 'factory graph extract' first)")
+ return 0
+
+ stats = graph_stats(project_path)
+ if stats:
+ print(f"Nodes: {stats['nodes']}")
+ print(f"Edges: {stats['edges']}")
+
+ staleness = is_graph_stale(project_path)
+ if staleness is True:
+ print("Freshness: STALE (graph is older than latest commit)")
+ elif staleness is False:
+ print("Freshness: FRESH")
+ else:
+ print("Freshness: unknown (could not compare timestamps)")
+
+ return 0
+
+
+def _run_graphify(cmd: list[str], project_path: Path, event_prefix: str) -> int:
+ """Run a graphify CLI command with timeout, logging, and event emission."""
+ _emit_cli_event(project_path, f"{event_prefix}.started", {"cmd": cmd})
+ log.info("graphify.run", cmd=cmd)
+ try:
+ result = subprocess.run(
+ cmd,
+ capture_output=True,
+ text=True,
+ timeout=_GRAPHIFY_TIMEOUT,
+ cwd=project_path,
+ )
+ except subprocess.TimeoutExpired:
+ print(f"Error: graphify timed out after {_GRAPHIFY_TIMEOUT}s", file=sys.stderr)
+ _emit_cli_event(project_path, f"{event_prefix}.timeout", {})
+ return 1
+
+ if result.returncode != 0:
+ print(result.stderr or "graphify command failed", file=sys.stderr)
+ _emit_cli_event(project_path, f"{event_prefix}.failed", {"rc": result.returncode})
+ return 1
+
+ if result.stdout:
+ print(result.stdout, end="")
+ _emit_cli_event(project_path, f"{event_prefix}.completed", {})
+ return 0
+
+
+def cmd_graph_query(args: argparse.Namespace) -> int:
+ """BFS traversal of the knowledge graph."""
+ from factory.graph import is_graph_available, is_graphify_installed
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ if not is_graphify_installed():
+ print(
+ "Error: graphify CLI not found on PATH. Install with: uv tool install graphifyy",
+ file=sys.stderr,
+ )
+ return 1
+
+ if not is_graph_available(project_path):
+ print("Error: no graph.json found (run 'factory graph extract' first)", file=sys.stderr)
+ return 1
+
+ graph_file = str(project_path / "graph.json")
+ cmd = ["graphify", "query", args.question, "--graph", graph_file, "--depth", str(args.depth)]
+ return _run_graphify(cmd, project_path, "graph.query")
+
+
+def cmd_graph_explain(args: argparse.Namespace) -> int:
+ """Explain a node and its neighbors in the knowledge graph."""
+ from factory.graph import is_graph_available, is_graphify_installed
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ if not is_graphify_installed():
+ print(
+ "Error: graphify CLI not found on PATH. Install with: uv tool install graphifyy",
+ file=sys.stderr,
+ )
+ return 1
+
+ if not is_graph_available(project_path):
+ print("Error: no graph.json found (run 'factory graph extract' first)", file=sys.stderr)
+ return 1
+
+ graph_file = str(project_path / "graph.json")
+ cmd = ["graphify", "explain", args.node, "--graph", graph_file]
+ return _run_graphify(cmd, project_path, "graph.explain")
+
+
+def cmd_graph_path(args: argparse.Namespace) -> int:
+ """Shortest path between two nodes in the knowledge graph."""
+ from factory.graph import is_graph_available, is_graphify_installed
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ if not is_graphify_installed():
+ print(
+ "Error: graphify CLI not found on PATH. Install with: uv tool install graphifyy",
+ file=sys.stderr,
+ )
+ return 1
+
+ if not is_graph_available(project_path):
+ print("Error: no graph.json found (run 'factory graph extract' first)", file=sys.stderr)
+ return 1
+
+ graph_file = str(project_path / "graph.json")
+ cmd = ["graphify", "path", args.source, args.target, "--graph", graph_file]
+ return _run_graphify(cmd, project_path, "graph.path")
diff --git a/factory/cli/infra.py b/factory/cli/infra.py
new file mode 100644
index 000000000..16fbde990
--- /dev/null
+++ b/factory/cli/infra.py
@@ -0,0 +1,277 @@
+"""CLI infra commands."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import structlog
+import sys
+from datetime import datetime
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _print_banner, _run
+
+log = structlog.get_logger()
+
+
+def cmd_archive(args: argparse.Namespace) -> int:
+ from factory.obsidian.notes import (
+ update_memory_index,
+ write_experiment_note,
+ write_project_dashboard,
+ write_strategy_note,
+ )
+ from factory.state import detect_state
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ records = _run(store.load_history())
+
+ if not records:
+ print("Nothing to archive.")
+ return 0
+
+ project_name = project_path.name
+ state = detect_state(project_path).value
+
+ # Write experiment notes
+ for record in records:
+ write_experiment_note(project_name, record)
+
+ # Build eval_dimensions list for dashboard
+ eval_dimensions: list[dict] | None = None
+ profile = _run(store.read_eval_profile())
+ if profile:
+ eval_dimensions = [d.model_dump() for d in profile.dimensions]
+
+ # Current score from latest experiment
+ scores = [r.score_after for r in records if r.score_after is not None]
+ current_score = scores[-1] if scores else None
+
+ write_project_dashboard(project_name, state, current_score, records, eval_dimensions)
+
+ # Write strategy note if strategy exists
+ strategy_text = _run(store.read_strategy())
+ if strategy_text:
+ write_strategy_note(project_name, strategy_text)
+
+ # Update MEMORY.md index
+ update_memory_index()
+
+ from factory.obsidian.notes import vault_path as get_vault_path
+
+ vp = get_vault_path()
+ _emit_cli_event(
+ project_path,
+ "archive.completed",
+ {
+ "experiments": len(records),
+ "vault": str(vp) if vp else "none",
+ },
+ )
+ if vp:
+ print(f"Archived {len(records)} experiments to {vp}")
+ else:
+ print(f"Archived {len(records)} experiments (vault not configured, skipped vault writes)")
+ return 0
+
+
+def cmd_checkpoint(args: argparse.Namespace) -> int:
+ """Show or save a checkpoint for crash-resilient resume."""
+ from factory.checkpoint import (
+ CheckpointState,
+ clear_checkpoint,
+ format_checkpoint,
+ load_checkpoint,
+ save_checkpoint,
+ )
+
+ project_path = Path(args.path).resolve()
+
+ if args.clear:
+ clear_checkpoint(project_path)
+ print("Checkpoint cleared.")
+ return 0
+
+ if args.save:
+ completed_hyps: list[int] = []
+ if args.completed_hypotheses:
+ completed_hyps = [
+ int(x.strip()) for x in args.completed_hypotheses.split(",") if x.strip()
+ ]
+ state = CheckpointState(
+ mode=args.mode or "improve",
+ active_experiment_id=args.experiment,
+ completed_agents=[a.strip() for a in args.completed.split(",")]
+ if args.completed
+ else [],
+ pending_agents=[a.strip() for a in args.pending.split(",")] if args.pending else [],
+ last_eval_scores=json.loads(args.scores) if args.scores else {},
+ current_hypothesis=args.hypothesis,
+ completed_hypotheses=completed_hyps,
+ timestamp=datetime.now().isoformat(),
+ )
+ save_checkpoint(project_path, state)
+ print(f"Checkpoint saved to {project_path / '.factory' / 'checkpoint.json'}")
+ return 0
+
+ # Show current checkpoint
+ loaded = load_checkpoint(project_path)
+ if loaded is None:
+ print("No checkpoint found.")
+ return 0
+ print(format_checkpoint(loaded))
+ return 0
+
+
+def cmd_resume(args: argparse.Namespace) -> int:
+ """Resume a CEO session via Claude --resume.
+
+ Checks two sources for a session ID:
+ 1. CycleState.claude_session_id (headless run interrupted mid-cycle)
+ 2. .factory/state/session.json (any CEO run)
+
+ For headless sessions, injects a continuation prompt so the CEO
+ auto-continues from where it left off. Interactive sessions get a bare
+ resume (the user drives the conversation).
+ """
+ import os
+ import shutil
+ import tempfile
+
+ from factory.ceo_completion import read_ceo_session, read_cycle_state
+
+ project_path = Path(args.path).resolve()
+ model = getattr(args, "model", None)
+
+ session_id: str | None = None
+ session_meta: dict | None = None
+
+ cycle_state = read_cycle_state(project_path)
+ if cycle_state and cycle_state.claude_session_id:
+ session_id = cycle_state.claude_session_id
+ log.info("resume_from_cycle_state", session_id=session_id)
+
+ if not session_id:
+ session_meta = read_ceo_session(project_path)
+ if session_meta:
+ session_id = session_meta.get("session_id")
+ if session_id:
+ log.info("resume_from_session_file", session_id=session_id)
+
+ if not session_id:
+ print("No CEO session found to resume.", file=sys.stderr)
+ print("Run 'factory ceo <path>' first to create a session.", file=sys.stderr)
+ return 1
+
+ claude_path = shutil.which("claude")
+ if not claude_path:
+ print("Error: 'claude' CLI not found. Install Claude Code first.", file=sys.stderr)
+ return 1
+
+ interactive = True
+ resume_mode = ""
+ if session_meta:
+ interactive = session_meta.get("interactive", True)
+ resume_mode = session_meta.get("mode", "")
+ if cycle_state:
+ interactive = False
+ resume_mode = cycle_state.mode
+
+ cmd = ["claude", "--resume", session_id]
+ if model:
+ cmd.extend(["--model", model])
+
+ if not interactive:
+ from factory.agents.runner import resolve_prompt
+
+ prompt_text = resolve_prompt("ceo", project_path, workflow_mode=resume_mode or None)
+ prompt_file = tempfile.NamedTemporaryFile(
+ mode="w", suffix=".md", prefix="factory-resume-prompt-", delete=False
+ )
+ prompt_file.write(prompt_text)
+ prompt_file.close()
+
+ continuation = (
+ "You were interrupted mid-cycle. Resume from where you left off.\n"
+ "Read .factory/strategy/current.md and .factory/state/cycle.json "
+ "to determine your current phase.\n"
+ "Continue executing the remaining planned work. "
+ "Do not restart completed phases."
+ )
+ cmd.extend(
+ [
+ "-p",
+ continuation,
+ "--append-system-prompt-file",
+ prompt_file.name,
+ "--output-format",
+ "stream-json",
+ "--verbose",
+ "--disallowedTools",
+ "Agent",
+ ]
+ )
+ log.info("resume_headless", mode=resume_mode, prompt_file=prompt_file.name)
+ print(f"Resuming headless CEO session ({resume_mode}): {session_id[:12]}...")
+ else:
+ print(f"Resuming interactive CEO session: {session_id[:12]}...")
+
+ os.chdir(project_path)
+ os.execvp("claude", cmd)
+ return 0
+
+
+def cmd_backfill_archive(args: argparse.Namespace) -> int:
+ """Generate archive notes for experiments missing from .factory/archive/experiments/."""
+ from factory.backfill_archive import backfill_archive
+
+ project_path = Path(args.path).resolve()
+ result = _run(backfill_archive(project_path))
+ print(
+ f"Archive backfill complete: {result['existed']} existed, "
+ f"{result['created']} created, {result['total']} total"
+ )
+ return 0
+
+
+def cmd_vault_init(args: argparse.Namespace) -> int:
+ from factory.obsidian.notes import init_vault
+
+ vault_result = init_vault()
+ if vault_result is None:
+ print("No vault path configured. Set FACTORY_VAULT_PATH or run:")
+ print(" export FACTORY_VAULT_PATH=~/factory-vault")
+ print(" factory vault-init")
+ return 1
+ print(f"Factory vault initialized at {vault_result}")
+ return 0
+
+
+def cmd_serve_mcp(args: argparse.Namespace) -> int:
+ """Start the Factory MCP stdio server."""
+ from factory.mcp_server import main as mcp_main
+
+ mcp_main()
+ return 0
+
+
+def cmd_dashboard(args: argparse.Namespace) -> int:
+ """Launch the Factory live dashboard server."""
+ from factory.dashboard.app import create_app
+
+ projects_dir = Path(args.projects_dir).expanduser().resolve()
+ port = args.port
+ host = args.host
+
+ _print_banner("dashboard")
+ print(f" Dashboard: http://{host}:{port}", file=sys.stderr)
+ print(f" Projects: {projects_dir}\n", file=sys.stderr)
+
+ app = create_app(projects_dir)
+
+ import uvicorn
+
+ uvicorn.run(app, host=host, port=port, log_level="warning")
+ return 0
diff --git a/factory/cli/mempalace.py b/factory/cli/mempalace.py
new file mode 100644
index 000000000..3fce64887
--- /dev/null
+++ b/factory/cli/mempalace.py
@@ -0,0 +1,154 @@
+"""CLI subcommand: factory mempalace {read,write,browse} <project_path>."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+
+def cmd_mempalace(args: argparse.Namespace) -> int:
+ action = args.mempalace_action
+ project_path = Path(args.project_path).resolve()
+
+ if action == "read":
+ return _do_read(project_path, task_hint=getattr(args, "task_hint", None))
+ elif action == "write":
+ return _do_write(project_path)
+ elif action == "browse":
+ return _do_browse(project_path, args)
+ return 1
+
+
+def _do_read(project_path: Path, task_hint: str | None = None) -> int:
+ from factory.mempalace.reader import mp_read
+
+ result = mp_read(project_path, task_hint=task_hint)
+ if result:
+ print(result)
+ return 0
+
+
+def _do_write(project_path: Path) -> int:
+ from factory.mempalace.writer import mp_write
+
+ result = mp_write(project_path)
+ if result:
+ print(result)
+ return 0
+
+
+def _do_browse(project_path: Path, args: argparse.Namespace) -> int:
+ wing = getattr(args, "wing", None)
+ room = getattr(args, "room", None)
+ drawer_id = getattr(args, "drawer", None)
+ show_all = getattr(args, "all", False)
+
+ try:
+ from mempalace.palace import get_collection
+ except ImportError:
+ print("mempalace is not installed")
+ return 1
+
+ from factory.mempalace.helpers import get_palace_path, get_project_name
+
+ palace = get_palace_path()
+ try:
+ collection = get_collection(palace, create=False)
+ except Exception:
+ print("No palace found at", palace)
+ return 1
+
+ if drawer_id:
+ results = collection.get(ids=[drawer_id], include=["metadatas", "documents"])
+ if not results["ids"]:
+ print(f"Drawer not found: {drawer_id}")
+ return 1
+ meta = results["metadatas"][0]
+ doc = results["documents"][0]
+ print(f"Drawer: {drawer_id}")
+ print(f" Wing: {meta.get('wing', '?')}")
+ print(f" Room: {meta.get('room', '?')}")
+ print(f" Hall: {meta.get('hall', '?')}")
+ print(f" Filed: {meta.get('filed_at', '?')}")
+ print(f" Source: {meta.get('source_file', '?')}")
+ print(f" Agent: {meta.get('added_by', '?')}")
+ print()
+ print(doc)
+ return 0
+
+ all_results = collection.get(include=["metadatas", "documents"])
+ if not all_results["ids"]:
+ print("Palace is empty")
+ return 0
+
+ metas = all_results["metadatas"]
+ docs = all_results["documents"]
+ ids = all_results["ids"]
+
+ if not wing and not show_all:
+ wing = "project:" + get_project_name(project_path)
+
+ if not wing:
+ pn = get_project_name(project_path)
+ default_wing = "project:" + pn
+
+ wings: dict[str, dict[str, int]] = {}
+ for m in metas:
+ w = m.get("wing", "?")
+ r = m.get("room", "?")
+ if w not in wings:
+ wings[w] = {}
+ wings[w][r] = wings[w].get(r, 0) + 1
+
+ for w in sorted(wings):
+ marker = " ← this project" if w == default_wing else ""
+ rooms_summary = ", ".join(f"{r} ({c})" for r, c in sorted(wings[w].items()))
+ print(f"Wing: {w}{marker}")
+ print(f" Rooms: {rooms_summary}")
+ print()
+ return 0
+
+ if not room:
+ rooms: dict[str, list[tuple[str, dict, str]]] = {}
+ for i, m in enumerate(metas):
+ if m.get("wing") == wing:
+ r = m.get("room", "?")
+ if r not in rooms:
+ rooms[r] = []
+ rooms[r].append((ids[i], m, docs[i]))
+
+ if not rooms:
+ print(f"No drawers found in wing: {wing}")
+ return 0
+
+ print(f"Wing: {wing}")
+ for r in sorted(rooms):
+ print(f"\n Room: {r} ({len(rooms[r])} drawers)")
+ for did, m, doc in rooms[r]:
+ filed = m.get("filed_at", "?")[:10]
+ hall = m.get("hall", "?")
+ preview = doc[:80].replace("\n", " ").strip()
+ print(f" [{filed}] [{hall}] {did[:40]}... \"{preview}...\"")
+ return 0
+
+ drawers: list[tuple[str, dict, str]] = []
+ for i, m in enumerate(metas):
+ if m.get("wing") == wing and m.get("room") == room:
+ drawers.append((ids[i], m, docs[i]))
+
+ if not drawers:
+ print(f"No drawers in wing={wing} room={room}")
+ return 0
+
+ print(f"Wing: {wing}")
+ print(f"Room: {room} ({len(drawers)} drawers)")
+ for did, m, doc in drawers:
+ filed = m.get("filed_at", "?")[:19]
+ hall = m.get("hall", "?")
+ source = m.get("source_file", "?")
+ preview = doc[:120].replace("\n", " ").strip()
+ print(f"\n Drawer: {did}")
+ print(f" Filed: {filed} Hall: {hall}")
+ print(f" Source: {source}")
+ print(f" Preview: \"{preview}...\"")
+ return 0
diff --git a/factory/cli/outer_loop.py b/factory/cli/outer_loop.py
new file mode 100644
index 000000000..f0039b1d3
--- /dev/null
+++ b/factory/cli/outer_loop.py
@@ -0,0 +1,650 @@
+"""CLI subcommands for the outer loop evolutionary search."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import shutil
+import sys
+from collections.abc import Callable
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import structlog
+
+if TYPE_CHECKING:
+ from factory.outer_loop.evaluator import CycleRecord
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.workflow.primitives import Workflow
+
+_log = structlog.get_logger()
+
+
+def _check_disk_space(project_path: Path, population_size: int) -> bool:
+ """Check that enough disk space is available for the outer loop.
+
+ Requires population_size * 0.2 + 10 GB free.
+ Returns True if sufficient, False otherwise (prints error to stderr).
+ """
+ required_gb = population_size * 0.2 + 10
+ free_bytes = shutil.disk_usage(project_path).free
+ available_gb = free_bytes / (1024**3)
+
+ if available_gb < required_gb:
+ print(
+ f"Insufficient disk: need {required_gb:.1f}GB, have {available_gb:.1f}GB",
+ file=sys.stderr,
+ )
+ _log.error(
+ "disk_space_insufficient",
+ required_gb=required_gb,
+ available_gb=round(available_gb, 1),
+ population_size=population_size,
+ )
+ return False
+ _log.info(
+ "disk_space_ok",
+ required_gb=required_gb,
+ available_gb=round(available_gb, 1),
+ )
+ return True
+
+
+def _make_inner_loop_factory(
+ registry: EphemeralModeRegistry,
+) -> Callable[[Workflow], str]:
+ """Build a callable that finds the existing registered mode for a workflow.
+
+ Looks up by structural hash instead of creating eval-copy modes.
+ This bridges SwarmEvaluator → FeatureBenchInnerLoop: without it,
+ _inner_loop_factory is None and evaluation returns a dummy score=0.0.
+ """
+ _hash_to_mode: dict[str, str] = {}
+
+ def _factory(workflow: Workflow) -> str:
+ from factory.outer_loop.similarity import structural_hash
+
+ wf_hash = structural_hash(workflow)
+ if wf_hash in _hash_to_mode:
+ return _hash_to_mode[wf_hash]
+
+ for mode_name in registry.list_modes():
+ existing_wf = registry.load(mode_name)
+ if existing_wf is not None:
+ existing_hash = structural_hash(existing_wf)
+ _hash_to_mode[existing_hash] = mode_name
+ if existing_hash == wf_hash:
+ return mode_name
+
+ ind_id = wf_hash[:12]
+ name = registry.register(ind_id, 0, workflow)
+ _hash_to_mode[wf_hash] = name
+ return name
+
+ return _factory
+
+
+def cmd_outer_loop(args: argparse.Namespace) -> int:
+ """Dispatch outer-loop subcommands."""
+ sub = getattr(args, "outer_loop_command", None)
+ if not sub:
+ print("Usage: factory outer-loop {calibrate,evaluate,reflect,evolve,status,promote}", file=sys.stderr)
+ return 1
+
+ handlers = {
+ "calibrate": _cmd_calibrate,
+ "evaluate": _cmd_evaluate,
+ "reflect": _cmd_reflect,
+ "evolve": _cmd_evolve,
+ "status": _cmd_status,
+ "promote": _cmd_promote,
+ "prep-instances": _cmd_prep_instances,
+ "list-benchmarks": _cmd_list_benchmarks,
+ }
+ handler = handlers.get(sub)
+ if handler is None:
+ print(f"Unknown outer-loop subcommand: {sub}", file=sys.stderr)
+ return 1
+ return handler(args)
+
+
+def _cmd_calibrate(args: argparse.Namespace) -> int:
+ """Seed the initial population from a base workflow."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ print(f"Calibrating outer loop for {project_path}")
+
+ from factory.outer_loop.engine import SwarmEngine
+ from factory.outer_loop.evaluator import SwarmEvaluator
+ from factory.outer_loop.filesystem import init_filesystem, load_config, save_checkpoint
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.outer_loop.models import OuterLoopState, SwarmConfig
+
+ population_size = getattr(args, "population_size", 4)
+ if not _check_disk_space(project_path, population_size):
+ return 1
+
+ config = load_config(project_path)
+ if config is None:
+ benchmark = getattr(args, "benchmark", "featurebench")
+ budget = getattr(args, "budget", 50)
+ population_size = getattr(args, "population_size", 4)
+ designer_count = 0 if benchmark == "featurebench" else 2
+ target_proj = getattr(args, "project_dir", None)
+ test_cmd = getattr(args, "test_command", "")
+ test_fmt = getattr(args, "test_format", "")
+
+ bench_config = None
+ try:
+ from factory.outer_loop.benchmark_config import load_benchmark_config
+ bench_config = load_benchmark_config(benchmark, project_path)
+ _log.info("benchmark_config_loaded", benchmark=benchmark)
+ except FileNotFoundError:
+ _log.info("benchmark_config_not_found", benchmark=benchmark)
+
+ resolved_test_format = test_fmt or (bench_config.test_format if bench_config else "pytest")
+ resolved_test_command = test_cmd or (bench_config.test_command if bench_config else "")
+ resolved_seed_workflow = bench_config.seed_workflow if bench_config else ""
+ resolved_instance_format = bench_config.instance_format if bench_config else "directory"
+ resolved_prep_command = bench_config.prep_command if bench_config else ""
+
+ config = SwarmConfig(
+ benchmark=benchmark,
+ budget=budget,
+ population_size=population_size,
+ designer_count=designer_count,
+ training_instances=getattr(args, "training_instances", []),
+ holdout_instances=getattr(args, "holdout_instances", []),
+ target_project=str(Path(target_proj).resolve()) if target_proj else "",
+ test_command=resolved_test_command,
+ test_format=resolved_test_format,
+ seed_workflow=resolved_seed_workflow,
+ instance_format=resolved_instance_format,
+ prep_command=resolved_prep_command,
+ )
+
+ root = init_filesystem(project_path, config)
+
+ benchmark = config.benchmark
+ if benchmark == "featurebench":
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ base_workflow = Workflow(
+ name="featurebench-seed",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+ else:
+ try:
+ from factory.workflow.contributed.featurebench.workflow import (
+ workflow as featurebench_workflow,
+ )
+
+ base_workflow = featurebench_workflow()
+ except ImportError:
+ print(f"Error: could not load contributed workflow for benchmark '{benchmark}'.", file=sys.stderr)
+ return 1
+
+ target_dir = Path(config.target_project) if config.target_project else None
+ registry = EphemeralModeRegistry(project_path, target_dir=target_dir)
+ registry.prune_stale_modes()
+ evaluator = SwarmEvaluator(
+ config, inner_loop_factory=_make_inner_loop_factory(registry), project_dir=project_path,
+ )
+
+ from factory.outer_loop.similarity import NoveltyFilter
+
+ min_ged = 1 if len(base_workflow.nodes) <= 2 else 3
+ engine = SwarmEngine(
+ config=config,
+ evaluator=evaluator,
+ novelty_filter=NoveltyFilter(min_edit_distance=min_ged),
+ mode_registry=registry,
+ project_dir=project_path,
+ )
+
+ population = engine.seed(base_workflow, config)
+
+ pop_dir = root / "population"
+ population.save(pop_dir)
+
+ state = OuterLoopState(
+ budget_remaining=config.budget,
+ generation=0,
+ )
+ save_checkpoint(project_path, state)
+
+ modes = registry.list_modes()
+ print(f"Outer loop initialized at {root}")
+ print(f"Seeded {population.size} individuals ({len(modes)} ephemeral modes):")
+ for mode_name in modes:
+ print(f" - {mode_name}")
+ print(json.dumps(config.model_dump(mode="json"), indent=2))
+ return 0
+
+
+def _cmd_evaluate(args: argparse.Namespace) -> int:
+ """Evaluate the current generation's population."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ generation = getattr(args, "generation", 0)
+ from factory.outer_loop.evaluator import SwarmEvaluator
+ from factory.outer_loop.filesystem import load_checkpoint, load_config, save_checkpoint
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.outer_loop.models import OuterLoopState
+
+ config = load_config(project_path)
+ if config is None:
+ print("Error: no outer loop config found. Run 'factory outer-loop calibrate' first.", file=sys.stderr)
+ return 1
+
+ eval_project_dir = getattr(args, "project_dir", None)
+ if eval_project_dir is not None:
+ eval_project_dir = str(Path(eval_project_dir).resolve())
+ elif config.target_project:
+ eval_project_dir = config.target_project
+ else:
+ eval_project_dir = str(project_path)
+ print(f"Evaluating generation {generation} at {project_path} (target: {eval_project_dir})")
+
+ target_dir = Path(eval_project_dir) if eval_project_dir != str(project_path) else None
+ registry = EphemeralModeRegistry(project_path, target_dir=target_dir)
+ all_modes = registry.list_modes()
+ gen_prefix = f"evolve-gen{generation}-"
+ eval_prefix = f"evolve-gen{generation}-eval-"
+ modes = [m for m in all_modes if m.startswith(gen_prefix) and not m.startswith(eval_prefix)]
+ if not modes:
+ print("Error: no ephemeral modes found. Run 'factory outer-loop calibrate' first.", file=sys.stderr)
+ return 1
+
+ evaluator = SwarmEvaluator(config, inner_loop_factory=_make_inner_loop_factory(registry))
+ results: dict[str, dict[str, float]] = {}
+ for mode_name in modes:
+ wf = registry.load(mode_name)
+ if wf is None:
+ continue
+ ev = evaluator.evaluate(wf, eval_project_dir, config.training_instances)
+ results[mode_name] = {"score": ev.score, "cost_usd": ev.cost_usd}
+ print(f" {mode_name}: score={ev.score:.4f} cost=${ev.cost_usd:.4f}")
+
+ runs_dir = project_path / ".factory" / "outer_loop" / "runs" / mode_name
+ runs_dir.mkdir(parents=True, exist_ok=True)
+ summary: dict[str, object] = {
+ "mode": mode_name,
+ "score": ev.score,
+ "cost_usd": ev.cost_usd,
+ "benchmark_score": ev.benchmark_score,
+ }
+ if ev.details:
+ summary.update(ev.details)
+ (runs_dir / "cycle_summary.json").write_text(json.dumps(summary, indent=2))
+
+ results_dir = project_path / ".factory" / "outer_loop" / "results"
+ results_dir.mkdir(parents=True, exist_ok=True)
+ results_path = results_dir / f"gen{generation}.json"
+ results_path.write_text(json.dumps(results, indent=2))
+
+ state = load_checkpoint(project_path) or OuterLoopState(budget_remaining=config.budget)
+ gen_best = max((r["score"] for r in results.values()), default=0.0)
+ new_best = max(state.best_score, gen_best)
+ state = state.model_copy(update={
+ "generation": generation,
+ "total_evaluations": state.total_evaluations + len(results),
+ "best_score": new_best,
+ })
+ save_checkpoint(project_path, state)
+
+ print(f"Evaluated {len(results)} candidates. Results saved to {results_path}")
+ return 0
+
+
+def _load_cycle_summary(project_path: Path, mode_name: str) -> CycleRecord | None:
+ """Load a CycleRecord from a persisted cycle_summary.json."""
+ from factory.cycle_analyzer import CycleRecord as CR
+
+ summary_path = project_path / ".factory" / "outer_loop" / "runs" / mode_name / "cycle_summary.json"
+ if not summary_path.exists():
+ return None
+ try:
+ data = json.loads(summary_path.read_text())
+ duration_ms = data.get("duration_ms", 0)
+ return CR(
+ cycle_number=0,
+ mode=mode_name,
+ started_at=None,
+ ended_at=None,
+ duration_s=duration_ms / 1000.0 if duration_ms else 0.0,
+ score_start=None,
+ score_end=data.get("score"),
+ score_delta=None,
+ kept=data.get("kept", 0),
+ reverted=data.get("reverted", 0),
+ errored=data.get("agents_failed", 0),
+ total_cost_usd=data.get("cost_usd", 0.0),
+ )
+ except (json.JSONDecodeError, OSError, ValueError, TypeError):
+ return None
+
+
+def _cmd_reflect(args: argparse.Namespace) -> int:
+ """Run contrastive reflection on the current generation."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ generation = getattr(args, "generation", 0)
+ print(f"Reflecting on generation {generation} at {project_path}")
+
+ from factory.outer_loop.filesystem import load_config
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.outer_loop.reflector import OuterLoopReflector
+
+ config = load_config(project_path)
+ if config is None:
+ print("Error: no outer loop config found.", file=sys.stderr)
+ return 1
+
+ eval_project_dir: str
+ if config.target_project:
+ eval_project_dir = config.target_project
+ else:
+ eval_project_dir = str(project_path)
+
+ target_dir = Path(eval_project_dir) if eval_project_dir != str(project_path) else None
+ registry = EphemeralModeRegistry(project_path, target_dir=target_dir)
+ reflector = OuterLoopReflector(project_dir=project_path)
+
+ results_path = project_path / ".factory" / "outer_loop" / "results" / f"gen{generation}.json"
+ saved_results: dict[str, dict[str, float]] = {}
+ if results_path.exists():
+ try:
+ saved_results = json.loads(results_path.read_text())
+ except (json.JSONDecodeError, OSError):
+ pass
+
+ records: list[tuple[str, float, CycleRecord | None]] = []
+ needs_eval: list[tuple[str, Workflow]] = []
+
+ for mode_name in registry.list_modes():
+ saved = saved_results.get(mode_name)
+ if saved is not None:
+ score = float(saved.get("score", 0.0))
+ cycle_rec = _load_cycle_summary(project_path, mode_name)
+ records.append((mode_name, score, cycle_rec))
+ continue
+ cycle_rec = _load_cycle_summary(project_path, mode_name)
+ if cycle_rec is not None and cycle_rec.score_end is not None:
+ records.append((mode_name, cycle_rec.score_end, cycle_rec))
+ continue
+ wf = registry.load(mode_name)
+ if wf is not None:
+ needs_eval.append((mode_name, wf))
+
+ if needs_eval:
+ from factory.outer_loop.evaluator import SwarmEvaluator
+
+ evaluator = SwarmEvaluator(
+ config, inner_loop_factory=_make_inner_loop_factory(registry),
+ )
+ for mode_name, wf in needs_eval:
+ ev = evaluator.evaluate(wf, eval_project_dir, config.training_instances)
+ cycle_rec = evaluator.get_cycle_record(mode_name)
+ records.append((mode_name, ev.score, cycle_rec))
+
+ if len(records) < 2:
+ print("Not enough candidates for reflection (need >= 2).", file=sys.stderr)
+ return 1
+
+ report = reflector.reflect(records, generation)
+ print(f"Reflection complete: {len(report.failure_patterns)} failures, "
+ f"{len(report.success_patterns)} successes, "
+ f"{len(report.mutation_suggestions)} suggestions")
+ return 0
+
+
+def _cmd_evolve(args: argparse.Namespace) -> int:
+ """Produce the next generation via mutation and selection."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ generation = getattr(args, "generation", 0)
+ print(f"Evolving generation {generation} at {project_path}")
+
+ from factory.outer_loop.filesystem import load_config
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.outer_loop.mutations import WeightedRandomStrategy, apply_random_mutation
+
+ config = load_config(project_path)
+ if config is None:
+ print("Error: no outer loop config found.", file=sys.stderr)
+ return 1
+
+ if not _check_disk_space(project_path, config.population_size):
+ return 1
+
+ target_dir = Path(config.target_project) if config.target_project else None
+ registry = EphemeralModeRegistry(project_path, target_dir=target_dir)
+ registry.prune_stale_modes()
+ modes = registry.list_modes()
+ if not modes:
+ print("Error: no ephemeral modes to evolve.", file=sys.stderr)
+ return 1
+
+ strategy = WeightedRandomStrategy(mutation_rate=config.mutation_rate)
+ offspring_count = 0
+
+ for mode_name in modes[:config.population_size]:
+ wf = registry.load(mode_name)
+ if wf is None:
+ continue
+ result = apply_random_mutation(
+ wf, strategy, generation + 1,
+ frozen_nodes=set(config.frozen_node_ids),
+ )
+ if result is not None:
+ child_wf, mutation_rec = result
+ child_id = f"gen{generation + 1}_{offspring_count}"
+ registry.register(child_id, generation + 1, child_wf)
+ offspring_count += 1
+ print(f" Created offspring {child_id} via {mutation_rec.operator.value}")
+
+ print(f"Evolution complete: {offspring_count} offspring created for generation {generation + 1}")
+ return 0
+
+
+def _cmd_status(args: argparse.Namespace) -> int:
+ """Show outer loop progress and metrics."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ check_converge = getattr(args, "check_converge", False)
+
+ from factory.outer_loop.filesystem import load_checkpoint, load_config
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+
+ config = load_config(project_path)
+ state = load_checkpoint(project_path)
+ registry = EphemeralModeRegistry(project_path)
+
+ print("=== Outer Loop Status ===")
+ if config:
+ print(f"Benchmark: {config.benchmark}")
+ print(f"Population size: {config.population_size}")
+ print(f"Budget: {config.budget}")
+ else:
+ print("No outer loop config found.")
+
+ if state:
+ print(f"Generation: {state.generation}")
+ print(f"Total evaluations: {state.total_evaluations}")
+ print(f"Best score: {state.best_score:.4f}")
+ print(f"Budget remaining: {state.budget_remaining}")
+ if state.convergence_reason:
+ print(f"Convergence: {state.convergence_reason}")
+ if state.score_trajectory:
+ print(f"Score trajectory: {[f'{s:.3f}' for s in state.score_trajectory[-5:]]}")
+ else:
+ print("No checkpoint found — outer loop not started.")
+
+ modes = registry.list_modes()
+ print(f"Ephemeral modes: {len(modes)}")
+
+ traj_path = project_path / ".factory" / "outer_loop" / "trajectory.jsonl"
+ if traj_path.exists():
+ lines = traj_path.read_text().strip().splitlines()
+ print(f"Trajectory entries: {len(lines)}")
+
+ events_path = project_path / ".factory" / "outer_loop" / "events.jsonl"
+ if events_path.exists():
+ lines = events_path.read_text().strip().splitlines()
+ print(f"Event log entries: {len(lines)}")
+
+ if check_converge:
+ if state and state.convergence_reason:
+ print("CONVERGED")
+ return 0
+ else:
+ print("NOT CONVERGED")
+ return 1
+
+ return 0
+
+
+def _cmd_promote(args: argparse.Namespace) -> int:
+ """Promote the best evolved workflow to a permanent mode."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+ mode_name = getattr(args, "mode_name", None)
+ permanent_name = getattr(args, "permanent_name", "evolved")
+
+ if not mode_name:
+ print("Error: --mode-name required", file=sys.stderr)
+ return 1
+
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+
+ registry = EphemeralModeRegistry(project_path)
+ dest = registry.promote(mode_name, permanent_name)
+ if dest:
+ print(f"Promoted {mode_name} → {dest}")
+ return 0
+ else:
+ print(f"Failed to promote {mode_name}", file=sys.stderr)
+ return 1
+
+
+def _cmd_prep_instances(args: argparse.Namespace) -> int:
+ """Prepare benchmark instances from config."""
+ benchmark = getattr(args, "benchmark", "featurebench")
+ instances = getattr(args, "instances", [])
+ output_dir = Path(getattr(args, "output_dir", ".")).resolve()
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+
+ if not instances:
+ print("Error: --instances required", file=sys.stderr)
+ return 1
+
+ from factory.outer_loop.benchmark_config import load_benchmark_config
+ from factory.outer_loop.instance_prep import prepare_instances
+
+ try:
+ config = load_benchmark_config(benchmark, project_path)
+ except FileNotFoundError as e:
+ print(f"Error: {e}", file=sys.stderr)
+ return 1
+
+ prepared = prepare_instances(config, instances, output_dir)
+ print(f"Prepared {len(prepared)}/{len(instances)} instances:")
+ for p in prepared:
+ print(f" ✓ {p.name}")
+ failed = set(instances) - {p.name for p in prepared}
+ for name in sorted(failed):
+ print(f" ✗ {name}")
+ return 0 if len(prepared) == len(instances) else 1
+
+
+def _cmd_list_benchmarks(args: argparse.Namespace) -> int:
+ """List all available benchmark configurations."""
+ project_path = Path(getattr(args, "project_path", ".")).resolve()
+
+ from factory.outer_loop.benchmark_config import list_benchmarks
+
+ configs = list_benchmarks(project_path)
+ if not configs:
+ print("No benchmark configurations found.")
+ return 0
+
+ print(f"Available benchmarks ({len(configs)}):")
+ for cfg in configs:
+ print(f" {cfg.name:20s} format={cfg.test_format:12s} instances={cfg.instance_format}")
+ if cfg.description:
+ print(f" {cfg.description}")
+ return 0
+
+
+def add_outer_loop_parser(subparsers: argparse._SubParsersAction) -> None: # type: ignore[type-arg]
+ """Add the outer-loop subcommand group to the CLI parser."""
+ outer = subparsers.add_parser(
+ "outer-loop",
+ help="Evolutionary workflow search",
+ )
+
+ outer_sub = outer.add_subparsers(dest="outer_loop_command")
+
+ cal = outer_sub.add_parser("calibrate", help="Seed initial population")
+ cal.add_argument("project_path", nargs="?", default=".")
+ cal.add_argument("--benchmark", default="featurebench")
+ cal.add_argument("--budget", type=int, default=50)
+ cal.add_argument("--population-size", type=int, default=4)
+ cal.add_argument("--training-instances", nargs="*", default=[])
+ cal.add_argument("--holdout-instances", nargs="*", default=[])
+ cal.add_argument(
+ "--project-dir",
+ default=None,
+ help="Target project dir for sub-CEO evaluation (defaults to project_path)",
+ )
+ cal.add_argument(
+ "--test-command",
+ default="",
+ help="Test command for scoring (e.g. 'pytest tests/test_outputs.py -v')",
+ )
+ cal.add_argument(
+ "--test-format",
+ default="",
+ help="Test output format: pytest, exit_code, json, exact_match (auto-detected from benchmark config if omitted)",
+ )
+
+ ev = outer_sub.add_parser("evaluate", help="Evaluate current generation")
+ ev.add_argument("project_path", nargs="?", default=".")
+ ev.add_argument("--generation", type=int, default=0)
+ ev.add_argument(
+ "--project-dir",
+ default=None,
+ help="Target project dir for sub-CEO evaluation (defaults to project_path)",
+ )
+
+ ref = outer_sub.add_parser("reflect", help="Run reflection on generation")
+ ref.add_argument("project_path", nargs="?", default=".")
+ ref.add_argument("--generation", type=int, default=0)
+
+ evo = outer_sub.add_parser("evolve", help="Produce next generation")
+ evo.add_argument("project_path", nargs="?", default=".")
+ evo.add_argument("--generation", type=int, default=0)
+
+ st = outer_sub.add_parser("status", help="Show progress and metrics")
+ st.add_argument("project_path", nargs="?", default=".")
+ st.add_argument("--check-converge", action="store_true")
+
+ pr = outer_sub.add_parser("promote", help="Promote best workflow")
+ pr.add_argument("project_path", nargs="?", default=".")
+ pr.add_argument("--mode-name", required=True)
+ pr.add_argument("--permanent-name", default="evolved")
+
+ prep = outer_sub.add_parser("prep-instances", help="Prepare benchmark instances")
+ prep.add_argument("benchmark", help="Benchmark name (e.g. featurebench, swebench)")
+ prep.add_argument("--instances", nargs="+", required=True, help="Instance IDs to prepare")
+ prep.add_argument("--output-dir", default=".", help="Output directory for prepared instances")
+ prep.add_argument("--project-path", default=".", help="Project path for config lookup")
+
+ lb = outer_sub.add_parser("list-benchmarks", help="List available benchmarks")
+ lb.add_argument("project_path", nargs="?", default=".")
diff --git a/factory/cli/registry.py b/factory/cli/registry.py
new file mode 100644
index 000000000..da949bb66
--- /dev/null
+++ b/factory/cli/registry.py
@@ -0,0 +1,101 @@
+"""CLI registry commands."""
+from __future__ import annotations
+
+import argparse
+import structlog
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event
+
+log = structlog.get_logger()
+
+def cmd_report_update(args: argparse.Namespace) -> int:
+ """Generate a performance report for a project."""
+ from factory.report import save_performance_report
+
+ project_path = Path(args.path).resolve()
+ report_path = save_performance_report(project_path)
+ print(f"Performance report written to {report_path}")
+ return 0
+
+
+def cmd_registry_list(args: argparse.Namespace) -> int:
+ """List all registered factory-managed projects."""
+ from factory.registry import list_projects
+
+ projects = list_projects()
+ if not projects:
+ print("No registered projects. Projects are auto-registered when experiments begin.")
+ return 0
+
+ header = f"{'Name':<30} {'Experiments':>11} {'Score':>8} {'Last Experiment':<20}"
+ print(header)
+ print("-" * len(header))
+ for p in projects:
+ score = f"{p.latest_score:.3f}" if p.latest_score is not None else "n/a"
+ last = p.last_experiment_at.strftime("%Y-%m-%d %H:%M") if p.last_experiment_at else "never"
+ print(f"{p.name:<30} {p.experiment_count:>11} {score:>8} {last:<20}")
+ return 0
+
+
+def cmd_digest(args: argparse.Namespace) -> int:
+ from factory.digest import format_digest, scan_vault
+
+ target_date = None
+ if args.date:
+ from datetime import date as date_cls
+ target_date = date_cls.fromisoformat(args.date)
+
+ projects = scan_vault(target_date=target_date, days=args.days)
+ output = format_digest(projects, target_date=target_date, days=args.days)
+ print(output)
+ return 0
+
+
+def cmd_insights(args: argparse.Namespace) -> int:
+ from factory.insights import (
+ analyze,
+ discover_projects,
+ format_insights,
+ load_all_histories,
+ )
+
+ project_path = Path(args.path).resolve()
+ projects_dir_raw = getattr(args, "projects_dir", None)
+ if projects_dir_raw:
+ projects_dir = Path(projects_dir_raw).expanduser().resolve()
+ else:
+ from factory.registry import get_project_paths
+ reg_paths = get_project_paths()
+ if reg_paths:
+ projects_dir = reg_paths[0].parent
+ else:
+ projects_dir = project_path.parent
+ _emit_cli_event(project_path, "insights.started", {"projects_dir": str(projects_dir)})
+ project_paths = discover_projects(projects_dir)
+
+ if not project_paths:
+ print("No factory-managed projects found.")
+ return 0
+
+ histories = load_all_histories(project_paths)
+ if not histories:
+ print("No experiment histories found.")
+ return 0
+
+ insights = analyze(histories)
+ report = format_insights(insights)
+
+ # Write to .factory/strategy/insights.md
+ out_path = project_path / ".factory" / "strategy" / "insights.md"
+ out_path.parent.mkdir(parents=True, exist_ok=True)
+ out_path.write_text(report)
+
+ _emit_cli_event(project_path, "insights.completed", {
+ "projects_analyzed": len(project_paths),
+ "total_experiments": sum(len(h) for h in histories.values()),
+ })
+ print(report)
+ print(f"\nWritten to {out_path}")
+ return 0
+
diff --git a/factory/cli/research.py b/factory/cli/research.py
new file mode 100644
index 000000000..8690a9d62
--- /dev/null
+++ b/factory/cli/research.py
@@ -0,0 +1,128 @@
+"""CLI research commands."""
+from __future__ import annotations
+
+import argparse
+import json
+import structlog
+from pathlib import Path
+
+from factory.cli._helpers import _run
+
+log = structlog.get_logger()
+
+def cmd_leakage_check(args: argparse.Namespace) -> int:
+ """Check text for ground truth leakage against fixed surface fingerprints."""
+ from factory.research.leakage import fingerprint_fixed_surfaces, scan_for_leakage
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+
+ if not config.fixed_surfaces:
+ print("SKIP: no fixed_surfaces configured in factory.md")
+ return 0
+
+ fingerprints = fingerprint_fixed_surfaces(project_path, config.fixed_surfaces)
+ if not fingerprints:
+ print("SKIP: no fixed surface files found to fingerprint")
+ return 0
+
+ text = args.text
+ if args.text_file:
+ text_path = Path(args.text_file)
+ if not text_path.is_file():
+ print(f"ERROR: text file not found: {args.text_file}")
+ return 1
+ text = text_path.read_text()
+ elif args.text is None:
+ import sys
+ if not sys.stdin.isatty():
+ text = sys.stdin.read()
+ else:
+ print("ERROR: provide --text, --text-file, or pipe to stdin")
+ return 1
+
+ report = scan_for_leakage(text, fingerprints, args.sensitivity)
+
+ output = {
+ "flagged": report.flagged,
+ "risk_level": report.risk_level,
+ "findings": [
+ {
+ "source_file": f.source_file,
+ "leaked_token": f.leaked_token,
+ "context": f.context,
+ "leak_type": f.leak_type,
+ }
+ for f in report.findings
+ ],
+ }
+ print(json.dumps(output, indent=2))
+ return 1 if report.risk_level in ("medium", "high") else 0
+
+
+def cmd_validate_research(args: argparse.Namespace) -> int:
+ """Validate research mode configuration for ground truth isolation."""
+ from factory.research.leakage import validate_research_config
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+
+ errors = validate_research_config(config, project_path)
+
+ if not errors:
+ print("VALID: research config passes all ground truth isolation checks")
+ return 0
+
+ for error in errors:
+ print(f"ERROR: {error}")
+ return 1
+
+
+def cmd_research(args: argparse.Namespace) -> int:
+ """Print citation index table and coverage summary."""
+ from factory.research_index import build_citation_index, citation_coverage
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ records = _run(store.load_history())
+
+ if not records:
+ print("No experiments recorded.")
+ return 0
+
+ index = build_citation_index(project_path)
+ coverage = citation_coverage(project_path)
+
+ # Print table
+ header = f"{'ID':>4} {'Hypothesis':<52} Citations"
+ print(header)
+ print("-" * len(header))
+ for r in records:
+ hyp = r.hypothesis[:50]
+ cites = index.get(r.id, [])
+ cite_str = ", ".join(cites) if cites else "-"
+ print(f"{r.id:>4} {hyp:<52} {cite_str}")
+
+ # Summary
+ cited_count = sum(1 for r in records if r.research_citations)
+ print()
+ print(f"{len(records)} experiments, {cited_count} cited, coverage {coverage:.0%}")
+ return 0
+
+
+def cmd_backfill_citations(args: argparse.Namespace) -> int:
+ """Backfill citations from experiment text into .factory/citations.json."""
+ from factory.research_index import backfill_citations
+
+ project_path = Path(args.path).resolve()
+ index = backfill_citations(project_path)
+ print(f"Backfilled citations for {len(index)} experiments")
+ for exp_id, cites in sorted(index.items(), key=lambda x: int(x[0])):
+ print(f" #{exp_id}: {', '.join(cites[:5])}")
+ return 0
+
diff --git a/factory/cli/review.py b/factory/cli/review.py
new file mode 100644
index 000000000..bd8928f58
--- /dev/null
+++ b/factory/cli/review.py
@@ -0,0 +1,142 @@
+"""CLI review commands."""
+from __future__ import annotations
+
+import argparse
+import structlog
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _run
+
+log = structlog.get_logger()
+
+def cmd_refine_status(args: argparse.Namespace) -> int:
+ """Print refinement state and regrounding output."""
+ from factory.refine_state import format_status, read_state
+
+ project_path = Path(args.path).resolve()
+ state = read_state(project_path)
+ print(format_status(state))
+ return 0
+
+
+def cmd_refine_begin(args: argparse.Namespace) -> int:
+ """Record a new refinement entry and emit regrounding output."""
+ from factory.refine_state import begin_refinement, format_begin
+
+ project_path = Path(args.path).resolve()
+ request = (args.request or "").strip()
+ if not request:
+ print("Error: --request must not be empty.", file=sys.stderr)
+ return 1
+ entry = begin_refinement(project_path, request)
+ _emit_cli_event(project_path, "refine.begin", {
+ "sequence": entry.sequence,
+ "request": request[:200],
+ })
+ print(format_begin(entry))
+ return 0
+
+
+def cmd_refine_complete(args: argparse.Namespace) -> int:
+ """Update the last refinement entry with a verdict."""
+ from factory.refine_state import complete_refinement, read_state
+
+ project_path = Path(args.path).resolve()
+ verdict = args.verdict
+ state = read_state(project_path)
+ if not state.entries:
+ print("Warning: no refinement entries found — nothing to complete.", file=sys.stderr)
+ return 1
+ last = state.entries[-1]
+ mutated = complete_refinement(project_path, verdict)
+ if not mutated:
+ print(f"Warning: refinement #{last.sequence} is already completed.", file=sys.stderr)
+ return 1
+ _emit_cli_event(project_path, "refine.complete", {
+ "sequence": last.sequence,
+ "verdict": verdict,
+ })
+ print(f"Refinement #{last.sequence} completed — verdict: {verdict}")
+ return 0
+
+
+def cmd_clean_pr(args: argparse.Namespace) -> int:
+ """Strip non-essential artifacts from a PR diff."""
+ from factory.clean_pr import strip_pr_artifacts
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ config = _run(store.read_config())
+
+ base_branch = config.target_branch or "main"
+ exp_id = getattr(args, "exp", None)
+
+ include = config.clean_pr_include or None
+ exclude = config.clean_pr_exclude or None
+
+ keep, stripped = strip_pr_artifacts(
+ project_path,
+ include=include,
+ exclude=exclude,
+ base_branch=base_branch,
+ exp_id=exp_id,
+ )
+
+ if not stripped:
+ print("Nothing to strip — all files are essential.")
+ return 0
+
+ print(f"Kept {len(keep)} files, stripped {len(stripped)} files:")
+ for f in stripped:
+ print(f" - {f}")
+ return 0
+
+
+def cmd_review(args: argparse.Namespace) -> int:
+ """Format and optionally post a review on a GitHub PR."""
+ from factory.review import ReviewPayload, format_review, post_review
+
+ guard_results: dict[str, str] = {}
+ if args.guards:
+ for pair in args.guards.split(","):
+ if ":" in pair:
+ k, v = pair.split(":", 1)
+ guard_results[k.strip()] = v.strip()
+
+ qa_body = ""
+ if args.qa_body_file:
+ body_path = Path(args.qa_body_file)
+ if body_path.exists():
+ qa_body = body_path.read_text().strip()
+
+ payload = ReviewPayload(
+ verdict=args.verdict.upper(),
+ reason=args.reason or "",
+ score_before=args.score_before,
+ score_after=args.score_after,
+ threshold=args.threshold,
+ guard_results=guard_results,
+ precheck_summary=args.precheck_summary or "",
+ code_notes=[n.strip() for n in args.code_notes.split("|")] if args.code_notes else [],
+ qa_body=qa_body,
+ experiment_id=args.experiment_id,
+ hypothesis=args.hypothesis or "",
+ )
+
+ review_body = format_review(payload)
+
+ if args.pr and not args.dry_run:
+ success = post_review(args.pr, review_body, payload.verdict, repo=args.repo)
+ if success:
+ print(f"Review posted on PR #{args.pr}")
+ else:
+ print(f"Failed to post review on PR #{args.pr}", file=sys.stderr)
+ print(review_body)
+ return 1
+ else:
+ print(review_body)
+
+ return 0
+
diff --git a/factory/cli/run.py b/factory/cli/run.py
new file mode 100644
index 000000000..22617b23a
--- /dev/null
+++ b/factory/cli/run.py
@@ -0,0 +1,531 @@
+"""Factory run command — single-shot and heartbeat loop execution."""
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import signal
+import sys
+import threading
+import time
+from datetime import datetime
+from pathlib import Path
+
+import structlog
+
+from factory.cli._helpers import (
+ _emit_cli_event,
+ _ensure_dashboard,
+ _print_banner,
+ _read_target_branch,
+ _run,
+ warn_deprecated_mode,
+)
+from factory.cli._mode_handlers import (
+ _auto_detect_mode,
+ _resolve_background,
+ _resolve_bg_agents,
+ _resolve_model,
+ _resolve_tmux_persist,
+)
+from factory.cli._path_resolver import (
+ _materialize_project,
+ _read_prompt_file,
+ _resolve_focus_issues,
+ _resolve_input,
+)
+from factory.cli._task_builder import _build_ceo_task
+
+log = structlog.get_logger()
+
+
+def _resolve_clean_pr(args: argparse.Namespace, project_path: Path) -> bool:
+ """Resolve clean_pr flag from CLI args or project config."""
+ clean_pr_flag = getattr(args, "clean_pr", None)
+ if clean_pr_flag is not None:
+ return clean_pr_flag
+ config_path = project_path / ".factory" / "config.json"
+ if config_path.exists():
+ try:
+ _cfg = json.loads(config_path.read_text())
+ return bool(_cfg.get("clean_pr", False))
+ except (json.JSONDecodeError, OSError):
+ return False
+ return False
+
+
+def _run_single_cycle(
+ project_path: Path,
+ mode: str,
+ context: str | None = None,
+ focus: str | None = None,
+ prompt_file: str | None = None,
+ min_growth: int | None = None,
+ max_new: int | None = None,
+ branch: str | None = None,
+ discover_only: bool = False,
+ no_github: bool = False,
+ model: str | None = None,
+ issue_number: int | None = None,
+ issue_url: str | None = None,
+ issue_numbers: list[int] | None = None,
+ issue_urls: list[str] | None = None,
+ use_profile: bool = False,
+ clean_pr: bool = False,
+ tmux_persist: bool = False,
+ background: bool = False,
+ run_id: str | None = None,
+ no_worktree: bool = False,
+ overwrite: str | None = None,
+) -> int:
+ """Execute a single factory run cycle via the CEO agent. Returns 0 on success, 1 on error."""
+ from factory.agents.runner import invoke_agent
+ from factory.worktree import create_worktree, remove_worktree
+
+ if focus:
+ from factory.study import add_backlog_item
+
+ add_backlog_item(project_path, focus)
+
+ from factory.messages import mark_read, read_pending
+
+ pending = read_pending(project_path)
+ pending_ids = [m.id for m in pending]
+
+ base_branch = branch or _read_target_branch(project_path)
+ if no_worktree:
+ wt_path = project_path
+ wt_branch = None
+ else:
+ wt_path, wt_branch = create_worktree(project_path, base_branch, run_id=run_id)
+
+ from factory.skill_cache import ensure_skills
+
+ ensure_skills(wt_path)
+
+ if overwrite and mode and mode != "auto":
+ from factory.workflow.definitions import register_all
+ from factory.workflow.overwrite import apply_overwrite, generate_session_skill
+
+ workflows = register_all()
+ if mode in workflows:
+ mutated = apply_overwrite(workflows[mode], overwrite, wt_path)
+ generate_session_skill(mutated, mode, wt_path)
+
+ try:
+ task = _build_ceo_task(
+ wt_path,
+ mode,
+ context,
+ focus=focus,
+ prompt_file=prompt_file,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=base_branch,
+ discover_only=discover_only,
+ no_github=no_github,
+ messages=pending,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ clean_pr=clean_pr,
+ )
+
+ result, code = _run(
+ invoke_agent(
+ "ceo",
+ task,
+ wt_path,
+ timeout=7200.0,
+ dangerously_skip_permissions=True,
+ model=model,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ workflow_mode=mode,
+ )
+ )
+
+ if code == 0:
+ if pending_ids:
+ mark_read(project_path, pending_ids)
+
+ print(result)
+ return code
+ finally:
+ if not no_worktree:
+ assert wt_branch is not None
+ remove_worktree(project_path, wt_path, wt_branch)
+
+
+def _chain_modes(
+ project_path: Path,
+ focus: str | None = None,
+ min_growth: int | None = None,
+ max_new: int | None = None,
+ branch: str | None = None,
+ already_improved: bool = False,
+ max_chains: int = 3,
+ model: str | None = None,
+ no_github: bool = False,
+ use_profile: bool = False,
+ tmux_persist: bool = False,
+ background: bool = False,
+ completed_mode: str | None = None,
+ no_worktree: bool = False,
+) -> int:
+ """After a cycle completes, re-detect state and chain into the next mode.
+
+ This ensures builds and discoveries flow through the full pipeline
+ automatically — Build → Discover → Review → Improve — without manual
+ re-invocation. Returns 0 when one Improve cycle completes (or all
+ chains are exhausted).
+
+ If *completed_mode* names a terminal workflow, returns 0 immediately
+ without chaining.
+ """
+ from factory.models import ProjectState
+ from factory.state import detect_state
+
+ if completed_mode:
+ from factory.workflow.registry import WorkflowRegistry
+
+ wf = WorkflowRegistry.get_workflow(completed_mode, project_path)
+ if wf and wf.terminal:
+ print(
+ f"[factory] Terminal mode completed: {completed_mode} "
+ "— skipping post-completion chaining",
+ file=sys.stderr,
+ )
+ return 0
+
+ for i in range(max_chains):
+ state = detect_state(project_path)
+ if state == ProjectState.HAS_FACTORY and already_improved:
+ return 0
+ next_mode = _auto_detect_mode(project_path)
+ if next_mode == "improve":
+ already_improved = True
+ print(
+ f"[factory] Chaining: state={state.value} → mode={next_mode} "
+ f"(chain {i + 1}/{max_chains})",
+ file=sys.stderr,
+ )
+ code = _run_single_cycle(
+ project_path,
+ next_mode,
+ focus=focus,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=branch,
+ no_github=no_github,
+ model=model,
+ use_profile=use_profile,
+ tmux_persist=tmux_persist,
+ background=background,
+ no_worktree=no_worktree,
+ )
+ if code != 0:
+ return code
+ return 0
+
+
+def _run_heartbeat_loop(
+ project_path: Path,
+ mode: str,
+ context: str | None,
+ focus: str | None,
+ prompt_file: str | None,
+ discover_only: bool,
+ no_github: bool,
+ model: str | None,
+ issue_number: int | None,
+ issue_url: str | None,
+ issue_numbers: list[int] | None,
+ issue_urls: list[str] | None,
+ use_profile_flag: bool,
+ clean_pr_resolved: bool,
+ tmux_persist: bool,
+ background: bool,
+ run_id: str | None,
+ budget_kwargs: dict,
+ skip_improve: bool,
+ interval: int,
+ max_cycles: int | None,
+ no_worktree: bool = False,
+ completed_mode: str | None = None,
+) -> int:
+ """Continuous heartbeat loop with signal handling."""
+ shutdown_event = threading.Event()
+
+ def _shutdown_handler(signum: int, frame: object) -> None:
+ shutdown_event.set()
+
+ old_sigterm = signal.signal(signal.SIGTERM, _shutdown_handler)
+ old_sigint = signal.signal(signal.SIGINT, _shutdown_handler)
+
+ cycle = 0
+ start_time = time.monotonic()
+
+ try:
+ while True:
+ cycle += 1
+ ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+ print(f"[factory] Cycle {cycle} started at {ts}")
+ _emit_cli_event(project_path, "cycle.started", {"cycle": cycle, "mode": mode})
+
+ _run_single_cycle(
+ project_path,
+ mode,
+ context,
+ focus=focus,
+ prompt_file=prompt_file,
+ discover_only=discover_only,
+ no_github=no_github,
+ model=model,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ use_profile=use_profile_flag,
+ clean_pr=clean_pr_resolved,
+ tmux_persist=tmux_persist,
+ background=background,
+ run_id=run_id,
+ no_worktree=no_worktree,
+ **budget_kwargs,
+ )
+ _chain_modes(
+ project_path,
+ focus=focus,
+ already_improved=skip_improve,
+ min_growth=budget_kwargs.get("min_growth"),
+ max_new=budget_kwargs.get("max_new"),
+ branch=budget_kwargs.get("branch"),
+ model=model,
+ no_github=no_github,
+ use_profile=use_profile_flag,
+ tmux_persist=tmux_persist,
+ background=background,
+ completed_mode=completed_mode or mode,
+ no_worktree=no_worktree,
+ )
+ _emit_cli_event(project_path, "cycle.completed", {"cycle": cycle, "mode": mode})
+
+ mode = _auto_detect_mode(project_path, has_prompt=bool(prompt_file or context))
+
+ if shutdown_event.is_set():
+ break
+
+ if max_cycles is not None and cycle >= max_cycles:
+ break
+
+ print(f"[factory] Cycle {cycle} completed. Sleeping for {interval}s...")
+
+ shutdown_event.wait(interval)
+
+ if shutdown_event.is_set():
+ break
+ finally:
+ signal.signal(signal.SIGTERM, old_sigterm)
+ signal.signal(signal.SIGINT, old_sigint)
+
+ elapsed = time.monotonic() - start_time
+ print(
+ f"[factory] Shutting down gracefully after {cycle} cycles."
+ f" Total runtime: {elapsed:.0f}s"
+ )
+ return 0
+
+
+def cmd_run(args: argparse.Namespace) -> int:
+ """Run factory cycle(s) via the CEO agent. Supports single-shot and heartbeat loop."""
+ from factory.user_config import load_config
+
+ profile = getattr(args, "profile", None)
+ load_config(profile=profile)
+
+ project_path, context = _resolve_input(args.path)
+ prompt_file = getattr(args, "prompt", None)
+ loop = getattr(args, "loop", False)
+ focus = getattr(args, "focus", None)
+ discover_only = getattr(args, "discover_only", False)
+ no_github = getattr(args, "no_github", False)
+ if no_github:
+ os.environ["FACTORY_NO_GITHUB"] = "1"
+ min_growth = getattr(args, "min_growth", None)
+ max_new = getattr(args, "max_new", None)
+ branch = getattr(args, "branch", None)
+ run_id = getattr(args, "run_id", None)
+ model = _resolve_model(args)
+ use_profile_flag = getattr(args, "use_profile", False)
+ tmux_persist = _resolve_tmux_persist(args)
+ background = _resolve_background(args)
+ bg_agents = _resolve_bg_agents(args)
+ if bg_agents:
+ background = False
+ if background and tmux_persist:
+ print("Error: --bg and --tmux-persist are mutually exclusive.", file=sys.stderr)
+ return 1
+ if background and bg_agents:
+ print("Error: --bg and --bg-agents are mutually exclusive.", file=sys.stderr)
+ return 1
+
+ if bg_agents:
+ os.environ["FACTORY_BG"] = "1"
+
+ if prompt_file:
+ context = _read_prompt_file(project_path, prompt_file)
+ issue_number: int | None = None
+ issue_url: str | None = None
+ issue_numbers: list[int] = []
+ issue_urls: list[str] = []
+ if focus:
+ from factory.issue import has_multi_issue_refs
+
+ if has_multi_issue_refs(focus) and no_github:
+ print(
+ "Error: --focus resolved to an issue reference, but --no-github is set. "
+ "Issue fetching requires GitHub/GitLab CLI access.",
+ file=sys.stderr,
+ )
+ return 1
+ multi_resolved = _resolve_focus_issues(focus, project_path)
+ if multi_resolved:
+ if len(multi_resolved) == 1:
+ title, context, issue_number, issue_url = multi_resolved[0]
+ focus = f"{title} (issue #{issue_number})"
+ else:
+ parts = []
+ for title, ctx, num, url in multi_resolved:
+ parts.append(f"{title} (issue #{num})")
+ issue_numbers.append(num)
+ issue_urls.append(url)
+ focus = " + ".join(parts)
+ context = None
+ mode = getattr(args, "mode", "auto")
+ warn_deprecated_mode(mode)
+ auto_approve: bool = getattr(args, "auto_approve", False)
+ if auto_approve and mode != "design":
+ print("Error: --auto-approve only applies to --mode design", file=sys.stderr)
+ return 1
+ force_fresh = mode == "auto-fresh"
+ if mode in ("auto", "auto-fresh"):
+ mode = _auto_detect_mode(
+ project_path,
+ has_prompt=bool(prompt_file or context),
+ force_fresh=force_fresh,
+ )
+
+ if focus and loop:
+ print(
+ "Error: --focus (targeted mode) and --loop are mutually exclusive. "
+ "Targeted mode builds exactly one item and exits.",
+ file=sys.stderr,
+ )
+ return 1
+ if focus and prompt_file:
+ print(
+ "Error: --focus (targeted mode) and --prompt are mutually exclusive. "
+ "--focus builds one backlog item; --prompt executes a spec file.",
+ file=sys.stderr,
+ )
+ return 1
+ if focus and mode not in ("improve", "research"):
+ print(
+ f"Error: --focus (targeted mode) only works in improve or research mode, got '{mode}'. "
+ "The project must already be built before targeting specific items.",
+ file=sys.stderr,
+ )
+ return 1
+
+ no_worktree = getattr(args, "no_worktree", False)
+ clean_pr_resolved = _resolve_clean_pr(args, project_path)
+
+ _print_banner(mode)
+ _ensure_dashboard(project_path)
+
+ if context is not None and not (project_path / ".git").is_dir():
+ _materialize_project(project_path, context)
+
+ from factory.worktree import prune_stale
+
+ if project_path.is_dir():
+ pruned = prune_stale(project_path)
+ if pruned:
+ print(f" Cleaned {len(pruned)} stale worktree(s)", file=sys.stderr)
+
+ budget_kwargs = dict(min_growth=min_growth, max_new=max_new, branch=branch)
+ skip_improve = mode in ("improve", "meta") or discover_only
+
+ overwrite = getattr(args, "overwrite", None)
+
+ if not loop:
+ code = _run_single_cycle(
+ project_path,
+ mode,
+ context,
+ focus=focus,
+ prompt_file=prompt_file,
+ discover_only=discover_only,
+ no_github=no_github,
+ model=model,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ use_profile=use_profile_flag,
+ clean_pr=clean_pr_resolved,
+ tmux_persist=tmux_persist,
+ background=background,
+ run_id=run_id,
+ no_worktree=no_worktree,
+ overwrite=overwrite,
+ **budget_kwargs,
+ )
+ if code != 0:
+ return code
+ return _chain_modes(
+ project_path,
+ focus=focus,
+ already_improved=skip_improve,
+ min_growth=min_growth,
+ max_new=max_new,
+ branch=branch,
+ model=model,
+ no_github=no_github,
+ use_profile=use_profile_flag,
+ tmux_persist=tmux_persist,
+ background=background,
+ completed_mode=mode,
+ no_worktree=no_worktree,
+ )
+
+ interval: int = getattr(args, "interval", 1800)
+ max_cycles: int | None = getattr(args, "max_cycles", None)
+ return _run_heartbeat_loop(
+ project_path=project_path,
+ mode=mode,
+ context=context,
+ focus=focus,
+ prompt_file=prompt_file,
+ discover_only=discover_only,
+ no_github=no_github,
+ model=model,
+ issue_number=issue_number,
+ issue_url=issue_url,
+ issue_numbers=issue_numbers,
+ issue_urls=issue_urls,
+ use_profile_flag=use_profile_flag,
+ clean_pr_resolved=clean_pr_resolved,
+ tmux_persist=tmux_persist,
+ background=background,
+ run_id=run_id,
+ budget_kwargs=budget_kwargs,
+ skip_improve=skip_improve,
+ interval=interval,
+ max_cycles=max_cycles,
+ no_worktree=no_worktree,
+ completed_mode=mode,
+ )
diff --git a/factory/cli/spec.py b/factory/cli/spec.py
new file mode 100644
index 000000000..6c1af1689
--- /dev/null
+++ b/factory/cli/spec.py
@@ -0,0 +1,203 @@
+"""Spec subcommands — generate, validate, scope, update, impact."""
+
+from __future__ import annotations
+
+import argparse
+import sys
+from pathlib import Path
+
+from factory.cli._helpers import _emit_cli_event, _run
+
+
+def _run_spec_workflow(name: str, project_path: Path) -> tuple[int, str]:
+ """Run a spec workflow (spec-generate or spec-update) through the gated executor.
+
+ Returns (exit_code, error_reason). error_reason is empty on success.
+ """
+ import asyncio
+
+ from factory.workflow.definitions import spec_generate_workflow
+ from factory.workflow.executor import WorkflowExecutor
+ from factory.workflow.primitives import DEFAULT_AGENT_POOL
+
+ if name != "spec-generate":
+ return (1, f"unknown spec workflow: {name}")
+ wf = spec_generate_workflow()
+ executor = WorkflowExecutor(wf, project_path, agent_pool=DEFAULT_AGENT_POOL)
+ result = asyncio.run(executor.execute())
+
+ if not result.success:
+ reason = result.halt_reason or "unknown error"
+ print(f"Error: {name} workflow failed: {reason}", file=sys.stderr)
+ return 1, reason
+ return 0, ""
+
+
+def cmd_spec_generate(args: argparse.Namespace) -> int:
+ """Generate a repo spec for a project."""
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ _emit_cli_event(project_path, "spec.generate.started", {"path": str(project_path)})
+ rc, reason = _run_spec_workflow("spec-generate", project_path)
+ if rc != 0:
+ _emit_cli_event(project_path, "spec.generate.failed", {"error": reason[:200]})
+ return rc
+
+ spec_path = project_path / "SPEC.md"
+ _emit_cli_event(project_path, "spec.generate.completed", {"output": str(spec_path)})
+ print(f"Repo spec generated: {spec_path}")
+ return 0
+
+
+def cmd_spec_validate(args: argparse.Namespace) -> int:
+ """Validate a repo spec against the actual project."""
+ from factory.discovery.spec import resolve_spec
+ from factory.spec.ops import validate_spec
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ print("Error: no repo spec found (run 'factory spec generate' first)", file=sys.stderr)
+ return 1
+
+ _emit_cli_event(project_path, "spec.validate.started", {"path": str(project_path)})
+ try:
+ report, is_valid = _run(validate_spec(project_path))
+ except (ValueError, FileNotFoundError) as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ _emit_cli_event(project_path, "spec.validate.failed", {"error": str(exc)[:200]})
+ return 1
+
+ output_path = project_path / ".factory" / "spec_validation.md"
+ _emit_cli_event(
+ project_path,
+ "spec.validate.completed",
+ {
+ "is_valid": is_valid,
+ "output": str(output_path),
+ },
+ )
+
+ print(report)
+ print(f"\nReport: {output_path}")
+ return 0 if is_valid else 1
+
+
+def cmd_spec_scope(args: argparse.Namespace) -> int:
+ """Scope a diff against the existing repo spec."""
+ from factory.discovery.spec import resolve_spec
+ from factory.spec.ops import scope_diff
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ print("Error: no repo spec found (run 'factory spec generate' first)", file=sys.stderr)
+ return 1
+
+ exp_id = getattr(args, "experiment", None)
+ _emit_cli_event(project_path, "spec.scope.started", {"path": str(project_path)})
+ try:
+ scope_text = _run(scope_diff(project_path, experiment_id=exp_id))
+ except (FileNotFoundError, RuntimeError) as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ _emit_cli_event(project_path, "spec.scope.failed", {"error": str(exc)[:200]})
+ return 1
+
+ output_path = project_path / ".factory" / "spec_update_scope.md"
+ _emit_cli_event(
+ project_path,
+ "spec.scope.completed",
+ {"output": str(output_path)},
+ )
+
+ print(scope_text)
+ print(f"\nReport: {output_path}")
+ return 0
+
+
+def cmd_spec_update(args: argparse.Namespace) -> int:
+ """Update a repo spec based on changes since last spec commit."""
+ from factory.discovery.spec import resolve_spec
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ print("Error: no repo spec found (run 'factory spec generate' first)", file=sys.stderr)
+ return 1
+
+ _emit_cli_event(project_path, "spec.update.started", {"path": str(project_path)})
+ rc, reason = _run_spec_workflow("spec-update", project_path)
+ if rc != 0:
+ _emit_cli_event(project_path, "spec.update.failed", {"error": reason[:200]})
+ return rc
+
+ _emit_cli_event(project_path, "spec.update.completed", {"output": str(spec_path)})
+ print(f"Repo spec updated: {spec_path}")
+ return 0
+
+
+def cmd_spec_apply_diff(args: argparse.Namespace) -> int:
+ """Apply a SPEC Diff from strategy to SPEC.md."""
+ from factory.spec.apply_diff import apply_spec_diff
+
+ project_path = Path(args.path).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ _emit_cli_event(project_path, "spec.apply_diff.started", {"path": str(project_path)})
+
+ strategy_path = None
+ if hasattr(args, "strategy") and args.strategy:
+ strategy_path = Path(args.strategy).resolve()
+
+ applied = apply_spec_diff(project_path, strategy_path=strategy_path)
+
+ if applied:
+ _emit_cli_event(project_path, "spec.apply_diff.completed", {"applied": True})
+ print("SPEC Diff applied to SPEC.md")
+ else:
+ _emit_cli_event(project_path, "spec.apply_diff.completed", {"applied": False})
+ print("No SPEC Diff to apply (skipped)")
+
+ return 0
+
+
+def cmd_spec_impact(args: argparse.Namespace) -> int:
+ """Print the impact subgraph for a module from the repo spec."""
+ from factory.discovery.spec import resolve_spec
+ from factory.spec.ops import get_impact
+
+ project_path = Path(args.project).resolve()
+ if not project_path.is_dir():
+ print(f"Error: not a directory: {project_path}", file=sys.stderr)
+ return 1
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ print("Error: no repo spec found (run 'factory spec generate' first)", file=sys.stderr)
+ return 1
+
+ try:
+ snippet = _run(get_impact(args.module, project_path))
+ except (ValueError, RuntimeError) as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 1
+
+ print(snippet)
+ return 0
diff --git a/factory/cli/store.py b/factory/cli/store.py
new file mode 100644
index 000000000..f1a9a037f
--- /dev/null
+++ b/factory/cli/store.py
@@ -0,0 +1,309 @@
+"""CLI store commands."""
+from __future__ import annotations
+
+import argparse
+import json
+import structlog
+import sys
+from datetime import datetime
+from pathlib import Path
+
+from factory.cli._helpers import _detect_pr_number, _emit_cli_event, _run
+
+log = structlog.get_logger()
+
+def cmd_begin(args: argparse.Namespace) -> int:
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path)
+ store = ExperimentStore(project_path)
+ exp_id = _run(store.begin(args.hypothesis))
+ _emit_cli_event(project_path, "experiment.begin", {
+ "exp_id": exp_id,
+ "hypothesis": args.hypothesis[:200],
+ })
+ print(exp_id)
+ return 0
+
+
+def cmd_finalize(args: argparse.Namespace) -> int:
+ from factory.precheck import run_precheck
+ from factory.store import ExperimentStore
+ from factory.models import ExperimentRecord, FactoryConfig
+
+ project_path = Path(args.path)
+ store = ExperimentStore(project_path)
+ score_before = getattr(args, "score_before", None)
+ score_after = getattr(args, "score_after", None)
+ verdict = args.verdict
+ notes = args.notes or ""
+
+ force = getattr(args, "force", False)
+
+ if verdict == "keep" and not force:
+ config_path = project_path / ".factory" / "config.json"
+ if config_path.exists():
+ config = FactoryConfig(**json.loads(config_path.read_text()))
+ history = _run(store.load_history())
+ history_dicts = [r.model_dump() for r in history]
+
+ precheck_result = run_precheck(
+ score_before=score_before,
+ score_after=score_after,
+ threshold=config.eval_threshold,
+ hypothesis=args.hypothesis or "",
+ history=history_dicts,
+ project_path=project_path,
+ hard_constraints=config.hard_constraints,
+ exp_id=args.id,
+ )
+
+ if not precheck_result.passed:
+ verdict = "revert"
+ failure_detail = "; ".join(precheck_result.blocking_failures)
+ notes = f"[OVERRIDDEN by finalize gate] precheck failed: {failure_detail}. {notes}"
+ _emit_cli_event(project_path, "verdict.overridden", {
+ "exp_id": args.id,
+ "original_verdict": "keep",
+ "new_verdict": "revert",
+ "reason": failure_detail,
+ })
+ print(f"Finalize gate: precheck FAILED — overriding keep to revert ({failure_detail})")
+
+ if verdict == "keep" and force:
+ _emit_cli_event(project_path, "verdict.force_kept", {
+ "exp_id": args.id,
+ })
+ print("Finalize gate: precheck SKIPPED (--force)")
+
+ pr_number = args.pr
+ if pr_number is None:
+ pr_number = _detect_pr_number(project_path)
+
+ cost = args.cost
+ if cost is None:
+ from factory.events import load_events, sum_agent_costs
+ exp_events = load_events(project_path)
+ exp_start = None
+ for ev in reversed(exp_events):
+ if ev.get("type") == "experiment.begin":
+ ts_str = ev.get("timestamp")
+ if ts_str:
+ exp_start = datetime.fromisoformat(ts_str)
+ break
+ cost = sum_agent_costs(project_path, since=exp_start) or None
+
+ record = ExperimentRecord(
+ id=args.id,
+ timestamp=datetime.now(),
+ hypothesis=args.hypothesis or "",
+ change_summary=args.summary or "",
+ issue_number=args.issue,
+ pr_number=pr_number,
+ score_before=score_before,
+ score_after=score_after,
+ delta=None,
+ verdict=verdict,
+ cost_usd=cost,
+ notes=notes,
+ )
+ _run(store.finalize(args.id, record))
+ delta = None
+ if score_before is not None and score_after is not None:
+ delta = round(score_after - score_before, 6)
+ _emit_cli_event(project_path, "experiment.finalize", {
+ "exp_id": args.id,
+ "verdict": verdict,
+ "hypothesis": (args.hypothesis or "")[:200],
+ "pr_number": pr_number,
+ "issue_number": args.issue,
+ "score_before": score_before,
+ "score_after": score_after,
+ "delta": delta,
+ "cost_usd": cost,
+ })
+ print(f"Finalized experiment {args.id} — verdict={verdict}")
+ return 0
+
+
+def cmd_message(args: argparse.Namespace) -> int:
+ """Queue a message for the CEO agent."""
+ from factory.messages import write_message
+
+ project_path = Path(args.path).resolve()
+ if not project_path.exists():
+ print(f"Error: project path does not exist: {project_path}", file=sys.stderr)
+ return 1
+ if not (project_path / ".factory").exists():
+ print(f"Error: not a factory project (no .factory/ directory): {project_path}", file=sys.stderr)
+ return 1
+ if not args.text or not args.text.strip():
+ print("Error: message text must not be empty.", file=sys.stderr)
+ return 1
+ try:
+ msg = write_message(project_path, args.text)
+ except ValueError as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 1
+ print(f"Message queued (id={msg.id}). The CEO will see it at the start of the next cycle.")
+ return 0
+
+
+def cmd_history(args: argparse.Namespace) -> int:
+ from factory.store import ExperimentStore
+ from factory.strategy import format_tiered_history
+
+ store = ExperimentStore(Path(args.path))
+ records = _run(store.load_history())
+ if not records:
+ print("No experiments recorded.")
+ return 0
+
+ record_dicts = [
+ {
+ "id": r.id,
+ "hypothesis": r.hypothesis,
+ "verdict": r.verdict,
+ "delta": r.delta,
+ "change_summary": r.change_summary,
+ "cost_usd": r.cost_usd,
+ }
+ for r in records
+ ]
+ print(format_tiered_history(record_dicts))
+ return 0
+
+
+def cmd_status(args: argparse.Namespace) -> int:
+ from factory.state import detect_state
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ state = detect_state(project_path)
+ print(f"Project: {project_path}")
+ print(f"State: {state.value}")
+
+ if state.value == "has_factory":
+ store = ExperimentStore(project_path)
+ try:
+ config = _run(store.read_config())
+ except FileNotFoundError:
+ config = None
+
+ # Try to read latest eval score
+ profile = _run(store.read_eval_profile())
+ if profile:
+ dims = ", ".join(d.name for d in profile.dimensions)
+ print(f"Eval dimensions: {dims}")
+
+ records = _run(store.load_history())
+ if records:
+ kept = sum(1 for r in records if r.verdict == "keep")
+ reverted = sum(1 for r in records if r.verdict == "revert")
+ total = len(records)
+ print(f"Experiments: {total} total ({kept} kept, {reverted} reverted)")
+ last = records[-1]
+ print(f'Last experiment: #{last.id} — "{last.hypothesis}" ({last.verdict})')
+ scores = [r.score_after for r in records if r.score_after is not None]
+ if scores:
+ print(f"Latest score: {scores[-1]:.3f}")
+ else:
+ print("Experiments: none")
+
+ if config:
+ print(f"Goal: {config.goal}")
+
+ return 0
+
+
+def cmd_summary(args: argparse.Namespace) -> int:
+ """Generate an end-of-session summary report."""
+ from factory.summary import format_summary, generate_summary, save_summary
+
+ project_path = Path(args.path).resolve()
+ _emit_cli_event(project_path, "summary.started", {})
+ summary = _run(generate_summary(project_path))
+ output = format_summary(summary)
+ _run(save_summary(project_path, summary))
+ _emit_cli_event(project_path, "summary.completed", {
+ "kept": len(summary.experiments_kept),
+ "reverted": len(summary.experiments_reverted),
+ "errored": len(summary.experiments_errored),
+ "backlog": len(summary.backlog_remaining),
+ })
+ print(output)
+ return 0
+
+
+def cmd_export(args: argparse.Namespace) -> int:
+ """Export a complete project snapshot as JSON to stdout."""
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ factory_dir = project_path / ".factory"
+
+ if not factory_dir.is_dir():
+ print(f"Error: {factory_dir} does not exist. Run 'factory init' first.", file=sys.stderr)
+ return 1
+
+ store = ExperimentStore(project_path)
+
+ # Read config
+ try:
+ config = _run(store.read_config())
+ config_data = config.model_dump()
+ except FileNotFoundError:
+ config_data = None
+
+ # Read eval profile
+ eval_profile = _run(store.read_eval_profile())
+ eval_profile_data = eval_profile.model_dump() if eval_profile else None
+
+ # Read experiment history
+ records = _run(store.load_history())
+ experiments_data = [r.model_dump() for r in records]
+
+ # Read strategy
+ strategy = _run(store.read_strategy())
+
+ # Assemble snapshot
+ snapshot = {
+ "config": config_data,
+ "eval_profile": eval_profile_data,
+ "experiments": experiments_data,
+ "strategy": strategy,
+ "meta": {
+ "project_path": str(project_path),
+ "timestamp": datetime.now().isoformat(),
+ "factory_version": "0.1.0",
+ },
+ }
+
+ json.dump(snapshot, sys.stdout, indent=2, default=str)
+ print() # trailing newline
+ return 0
+
+
+def cmd_diff(args: argparse.Namespace) -> int:
+ """Compare two experiments side-by-side."""
+ from factory.analysis import compare_experiments, format_comparison
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ comparison = compare_experiments(store, args.id_a, args.id_b)
+ print(format_comparison(comparison))
+ return 0
+
+
+def cmd_explain(args: argparse.Namespace) -> int:
+ """Explain a single experiment with FEEC category and dimension breakdown."""
+ from factory.analysis import explain_experiment, format_explanation
+ from factory.store import ExperimentStore
+
+ project_path = Path(args.path).resolve()
+ store = ExperimentStore(project_path)
+ explanation = explain_experiment(store, args.id)
+ print(format_explanation(explanation))
+ return 0
+
diff --git a/factory/contained/__init__.py b/factory/contained/__init__.py
new file mode 100644
index 000000000..5cfe562ba
--- /dev/null
+++ b/factory/contained/__init__.py
@@ -0,0 +1,12 @@
+"""Everything `factory contained` needs that is not specific to one runtime's CLI.
+
+Podman command composition lives in `factory/podman.py` and the cluster's in
+`factory/contained/k8s.py`; this package holds the parts that are the same regardless of which
+runtime a command lands in — workspace materialization, path translation, provenance checks,
+credential resolution, prerequisites, and lifecycle.
+
+Deliberately empty of imports: `factory.podman` imports `factory.contained.provenance`, and a
+package `__init__` that reached back into `factory.podman` would make that a cycle.
+"""
+
+from __future__ import annotations
diff --git a/factory/contained/bundle.py b/factory/contained/bundle.py
new file mode 100644
index 000000000..740df67fa
--- /dev/null
+++ b/factory/contained/bundle.py
@@ -0,0 +1,286 @@
+"""The namespace prerequisite bundle — plain YAML the user applies.
+
+`factory contained bundle` prints it and never applies it. `factory contained --target k8s setup`
+prints it, asks, and then applies it *with the user's own credentials*. `factory contained verify`
+checks each object and each required verb. That split is what keeps "the factory does not mutate
+RBAC on its own" intact while still ending in a namespace that works.
+
+Everything is namespace-scoped. RoleBindings to pre-existing cluster SCCs are allowed; creating an
+SCC or a ClusterRole is not — a tool that needs cluster-admin to run a build is a tool nobody can
+run on a cluster they share.
+
+Per-cluster variation — namespace, storage class, image reference — is a parameter on the generator
+rather than a value the user is expected to find and edit in the output.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from factory.contained.errors import ContainedError
+from factory.contained.k8s import (
+ ADC_SECRET_KEY,
+ PVC_NAME,
+ SECRET_NAME,
+ SERVICE_ACCOUNT,
+ render_pvc,
+)
+
+ROLE_NAME = "factory-runtime"
+SCC_ROLEBINDING = "factory-scc"
+
+
+@dataclass(frozen=True)
+class BundleObject:
+ """One object in the bundle, addressable on its own.
+
+ The bundle exists as a list before it exists as a blob. `setup` walks it object by object —
+ checking each against the cluster and explaining it before asking — and a single rendered
+ string cannot be walked. `render_bundle` joins these back together for `factory contained
+ bundle`, so the two can never describe different sets of objects.
+
+ `purpose` is written for someone deciding whether to allow this in *their* namespace, which is
+ a different question from what the YAML says. The YAML already says a Role has these verbs; the
+ purpose says why a run needs them.
+ """
+
+ kind: str
+ """The lowercase form `oc get` accepts — `serviceaccount`, `rolebinding`, `pvc`."""
+
+ name: str
+ purpose: str
+ manifest: str
+ """This object's YAML alone, with no leading separator."""
+
+ @property
+ def ref(self) -> str:
+ return f"{self.kind}/{self.name}"
+
+# The verbs the *pod's* ServiceAccount needs, and no more.
+#
+# `pods/exec` is absent on purpose and its absence is load-bearing: the build
+# sidecar is a boundary only because the agent cannot exec into it. Adding this verb — for any
+# reason, including "attach would be easier" — hands the agent the shell path the sidecar exists to
+# close. Attach does not need it here: `factory contained attach` runs as *you*, with your
+# kubeconfig, not as this ServiceAccount.
+BASE_RULES = """\
+ - apiGroups: [""]
+ resources: ["pods"]
+ verbs: ["create", "get", "list", "watch", "delete"]
+ - apiGroups: [""]
+ resources: ["pods/log"]
+ verbs: ["get"]
+"""
+
+# With --division only. `builds`/`buildconfigs` let the sidecar submit and poll a Build;
+# `imagestreams` is where the result lands.
+# `patch`/`update` on buildconfigs is not a widening: `create` + `delete` already give the same
+# power by a longer route, so withholding it only costs the sidecar an extra round trip and a race.
+# The sidecar needs it to set `dockerfilePath` per build, because the agent may name a different
+# Containerfile on the next iteration.
+DIVISION_RULES = """\
+ - apiGroups: ["build.openshift.io"]
+ resources: ["builds", "buildconfigs"]
+ verbs: ["create", "get", "list", "watch", "delete", "patch", "update"]
+ - apiGroups: ["build.openshift.io"]
+ resources: ["builds/log"]
+ verbs: ["get"]
+ - apiGroups: ["build.openshift.io"]
+ resources: ["buildconfigs/instantiatebinary"]
+ verbs: ["create"]
+ - apiGroups: ["image.openshift.io"]
+ resources: ["imagestreams", "imagestreamtags"]
+ verbs: ["create", "get", "list", "watch"]
+"""
+
+
+def resolve_target(namespace: str | None) -> str:
+ """The namespace to generate for, or an error naming both ways to supply one.
+
+ A namespace is never invented. Emitting cluster YAML pinned to a guessed name invites the user
+ to apply it somewhere they did not intend, and "it defaulted to `factory`" is not something they
+ would think to check.
+ """
+ target = namespace or _safe_current_namespace()
+ if not target:
+ raise ContainedError(
+ "no namespace to generate the bundle for. Pass --namespace <name> before the "
+ "subcommand:\n"
+ " factory contained --target k8s --namespace <name> bundle\n"
+ "or select one first with `oc project <name>`."
+ )
+ return target
+
+
+def bundle_objects(
+ *,
+ namespace: str | None = None,
+ storage_class: str | None = None,
+ division: bool = False,
+ storage_size: str = "10Gi",
+) -> list[BundleObject]:
+ """The bundle as a list, in the order a reader should meet it.
+
+ Identity first, then what that identity may do, then what grants it, then storage — so each
+ object's explanation can refer to the one before it rather than forward to one not yet seen.
+
+ The Secret is deliberately absent. It carries credential material, and the factory never reads
+ or writes that — it references the Secret by name and `verify` checks it exists and carries the
+ expected keys.
+ """
+ target = resolve_target(namespace)
+ rules = BASE_RULES + (DIVISION_RULES if division else "")
+ build_note = (
+ " With --division it also carries the OpenShift build verbs, so the sidecar can submit a "
+ "Build and read its log."
+ if division else ""
+ )
+ return [
+ BundleObject(
+ kind="serviceaccount",
+ name=SERVICE_ACCOUNT,
+ purpose=(
+ "The identity the factory's pod runs as. It holds no permissions by itself — "
+ "everything below grants to this account and to nothing else, which is what makes "
+ "the rest of the bundle bounded."
+ ),
+ manifest=f"""\
+apiVersion: v1
+kind: ServiceAccount
+metadata:
+ name: {SERVICE_ACCOUNT}
+ namespace: {target}
+""",
+ ),
+ BundleObject(
+ kind="role",
+ name=ROLE_NAME,
+ purpose=(
+ "What that identity may do, and the whole of it: create, watch and delete pods in "
+ "this namespace, and read their logs. That is what a run needs to launch a "
+ "validation pod and see why it failed. `pods/exec` is absent on purpose — the "
+ f"build sidecar is a boundary only because the agent cannot exec into it.{build_note}"
+ ),
+ manifest=f"""\
+apiVersion: rbac.authorization.k8s.io/v1
+kind: Role
+metadata:
+ name: {ROLE_NAME}
+ namespace: {target}
+rules:
+{rules}""",
+ ),
+ BundleObject(
+ kind="rolebinding",
+ name=ROLE_NAME,
+ purpose=(
+ "Grants the Role above to the ServiceAccount above. Without it the Role exists and "
+ "applies to nobody, and the run fails on its first cluster call."
+ ),
+ manifest=f"""\
+apiVersion: rbac.authorization.k8s.io/v1
+kind: RoleBinding
+metadata:
+ name: {ROLE_NAME}
+ namespace: {target}
+roleRef:
+ apiGroup: rbac.authorization.k8s.io
+ kind: Role
+ name: {ROLE_NAME}
+subjects:
+ - kind: ServiceAccount
+ name: {SERVICE_ACCOUNT}
+ namespace: {target}
+""",
+ ),
+ BundleObject(
+ kind="rolebinding",
+ name=SCC_ROLEBINDING,
+ purpose=(
+ "Lets the pod run under the cluster's existing `restricted-v2` security context "
+ "constraint, which admission requires before it will schedule the pod at all. It "
+ "binds to an SCC that already exists — it does not create one, which would need "
+ "cluster-admin and is out of bounds for this tool."
+ ),
+ manifest=f"""\
+# Binds the ServiceAccount to the cluster's *existing* restricted SCC. Binding to a pre-existing
+# SCC is namespace-scoped; creating one is not, and is out of bounds.
+apiVersion: rbac.authorization.k8s.io/v1
+kind: RoleBinding
+metadata:
+ name: {SCC_ROLEBINDING}
+ namespace: {target}
+roleRef:
+ apiGroup: rbac.authorization.k8s.io
+ kind: ClusterRole
+ name: system:openshift:scc:restricted-v2
+subjects:
+ - kind: ServiceAccount
+ name: {SERVICE_ACCOUNT}
+ namespace: {target}
+""",
+ ),
+ BundleObject(
+ kind="pvc",
+ name=PVC_NAME,
+ purpose=(
+ f"{storage_size} of storage holding the run's workspace. It outlives the pod on "
+ "purpose: a long unattended run's work survives the pod being deleted, and "
+ "`factory contained sync` fetches the result from here. Deleting a run never "
+ "deletes this claim."
+ ),
+ manifest=render_pvc(target, storage_class, storage_size),
+ ),
+ ]
+
+
+def render_bundle(
+ *,
+ namespace: str | None = None,
+ storage_class: str | None = None,
+ division: bool = False,
+ image: str = "",
+ storage_size: str = "10Gi",
+) -> str:
+ """Emit the whole bundle for one namespace, as `factory contained bundle` prints it.
+
+ Composed from `bundle_objects` rather than written out again, so the blob and the walkthrough
+ can never come to describe different sets of objects.
+ """
+ target = resolve_target(namespace)
+ objects = bundle_objects(
+ namespace=target, storage_class=storage_class, division=division,
+ storage_size=storage_size,
+ )
+ image_note = f"# runtime image: {image}\n" if image else ""
+ body = "".join(f"---\n{obj.manifest}" for obj in objects)
+
+ return f"""\
+# factory contained — namespace prerequisites for {target}
+#
+# Apply with your own credentials:
+# factory contained --namespace {target}{' --division' if division else ''} bundle | oc apply -f -
+#
+# Then create the inference credentials Secret yourself — the factory never handles the material:
+# oc create secret generic {SECRET_NAME} -n {target} \\
+# --from-literal=ANTHROPIC_API_KEY=...
+# or, for Vertex — the credential is a *file*, so it is `--from-file` under this exact key,
+# which the pod mounts and points GOOGLE_APPLICATION_CREDENTIALS at:
+# oc create secret generic {SECRET_NAME} -n {target} \\
+# --from-literal=CLAUDE_CODE_USE_VERTEX=1 \\
+# --from-literal=CLOUD_ML_REGION=us-east5 \\
+# --from-literal=ANTHROPIC_VERTEX_PROJECT_ID=... \\
+# --from-file={ADC_SECRET_KEY}=$HOME/.config/gcloud/application_default_credentials.json
+#
+{image_note}# Everything below is namespace-scoped. Nothing here creates an SCC or a ClusterRole.
+{body}"""
+
+
+def _safe_current_namespace() -> str | None:
+ """The current context's namespace, or None — `bundle` must work with no cluster reachable."""
+ try:
+ from factory.contained.k8s import current_namespace
+
+ return current_namespace()
+ except Exception:
+ return None
diff --git a/factory/contained/claude_state.py b/factory/contained/claude_state.py
new file mode 100644
index 000000000..e4ed7977c
--- /dev/null
+++ b/factory/contained/claude_state.py
@@ -0,0 +1,98 @@
+"""Pre-answering the questions Claude Code asks a *fresh* home directory.
+
+A contained run starts an interactive session inside tmux, on a machine whose `~/.claude` has never
+been used. Claude Code quite reasonably asks two things before doing anything:
+
+1. **"Do you trust this folder?"** — the workspace, and again for each new directory the session
+ reaches, including the experiment worktrees the CEO creates under it.
+2. **"New MCP server found in this project"** — the division's server, from the `.mcp.json` the
+ runtime writes next to the project.
+3. **"Bypass Permissions mode — do you accept?"** — because the factory runs Claude Code with
+ `--dangerously-skip-permissions`, which is what makes an unattended agent loop possible at all.
+
+Both are asked only in interactive mode; `-p` skips them (Claude Code's own `--help` says so). That
+is why headless specialist agents never hit this and the interactive CEO does — and why the failure
+looks like a hang rather than an error. The run sits at a menu in a terminal nobody is watching,
+having already spent the tokens it took to get there.
+
+**None of these has an open answer here.** The workspace is a copy the runtime just made of a
+project the user named on the command line; the MCP server is one the runtime just registered
+because the user passed `--division`. Answering them at launch is recording a decision the user
+already made, not making one on their behalf — which is exactly why this seeds *only* those two
+things and touches nothing else in the file.
+"""
+
+from __future__ import annotations
+
+import json
+import shlex
+
+
+def render_seed_command(workspace: str, mcp_servers: tuple[str, ...] = ()) -> str:
+ """A shell command that merges the trust and MCP answers into `$HOME/.claude.json`.
+
+ Merged rather than written: the file already exists in the image (it carries the
+ onboarding marker) and `~/.claude` may be a mount the user opted into with `--mount`, in which
+ case it is *their* file and clobbering it would discard real history.
+
+ Seeding the workspace path alone is *not* enough: the CEO works inside an experiment worktree
+ whose directory carries a per-run id
+ (`.factory-worktrees/run-<id>`), and Claude Code resolves the project from the current
+ directory. That path cannot be known at launch. So the two answers are given the only way that
+ covers a directory not yet created — `hasTrustDialogAccepted` at the top level of
+ `~/.claude.json`, and `enableAllProjectMcpServers` in `~/.claude/settings.json`, which approves
+ servers declared by a project's own `.mcp.json` without naming the project.
+ """
+ payload = json.dumps(
+ {"workspace": workspace, "servers": list(mcp_servers)}, sort_keys=True
+ )
+ script = _SEED_SCRIPT.replace("__PAYLOAD__", payload)
+ return f"python3 -c {shlex.quote(script)}"
+
+
+# Kept as a literal rather than a file so it travels with the run command into either runtime, and
+# stdlib-only because it runs before anything the factory installs is guaranteed importable.
+_SEED_SCRIPT = '''
+import json, os
+spec = json.loads("""__PAYLOAD__""")
+path = os.path.expanduser("~/.claude.json")
+try:
+ with open(path) as handle:
+ state = json.load(handle)
+except (OSError, ValueError):
+ state = {}
+if not isinstance(state, dict):
+ state = {}
+state["hasCompletedOnboarding"] = True
+projects = state.setdefault("projects", {})
+if not isinstance(projects, dict):
+ projects = state["projects"] = {}
+workspace = spec["workspace"]
+for directory in (workspace, os.path.join(workspace, ".factory-worktrees")):
+ entry = projects.setdefault(directory, {})
+ if not isinstance(entry, dict):
+ entry = projects[directory] = {}
+ entry["hasTrustDialogAccepted"] = True
+ if spec["servers"]:
+ enabled = set(entry.get("enabledMcpjsonServers") or [])
+ entry["enabledMcpjsonServers"] = sorted(enabled | set(spec["servers"]))
+state["hasTrustDialogAccepted"] = True
+state["bypassPermissionsModeAccepted"] = True
+with open(path, "w") as handle:
+ json.dump(state, handle, indent=2)
+
+if spec["servers"]:
+ settings_dir = os.path.expanduser("~/.claude")
+ os.makedirs(settings_dir, exist_ok=True)
+ settings_path = os.path.join(settings_dir, "settings.json")
+ try:
+ with open(settings_path) as handle:
+ settings = json.load(handle)
+ except (OSError, ValueError):
+ settings = {}
+ if not isinstance(settings, dict):
+ settings = {}
+ settings["enableAllProjectMcpServers"] = True
+ with open(settings_path, "w") as handle:
+ json.dump(settings, handle, indent=2)
+'''.strip()
diff --git a/factory/contained/credentials.py b/factory/contained/credentials.py
new file mode 100644
index 000000000..1010806a6
--- /dev/null
+++ b/factory/contained/credentials.py
@@ -0,0 +1,205 @@
+"""Resolving how a contained run reaches inference — by shape, never by material.
+
+The container holds credential material directly — nothing outside it terminates inference on its
+behalf. Since that cannot be avoided, the next best thing is to name exactly what crosses and refuse
+to guess anything else.
+
+Three supported shapes, all explicit:
+
+| Backend | What crosses the boundary |
+|---------------|-----------------------------------------------------------------------|
+| Anthropic API | `ANTHROPIC_API_KEY` |
+| Vertex | `CLAUDE_CODE_USE_VERTEX`, `CLOUD_ML_REGION`, `ANTHROPIC_VERTEX_PROJECT_ID`, plus ADC by mounting `~/.config/gcloud` read-only |
+| Profile | nothing — a `[credentials.<name>]` section in the mounted `~/.factory/config.toml` is already inside |
+
+A shape's `detail` reports which backend, which model, and which variable or file supplied it. It
+never prints material: a check whose purpose is configuration must not become a way to print a key.
+"""
+
+from __future__ import annotations
+
+import os
+import tomllib
+from dataclasses import dataclass, field
+from pathlib import Path
+
+# Vertex needs all three to reach the endpoint; the ADC file supplies the actual credential.
+VERTEX_VARS = ("CLAUDE_CODE_USE_VERTEX", "CLOUD_ML_REGION", "ANTHROPIC_VERTEX_PROJECT_ID")
+ADC_DIR = Path("~/.config/gcloud").expanduser()
+ADC_HOME_RELATIVE = ".config/gcloud"
+ADC_FILE = "application_default_credentials.json"
+
+# Two settings that are required against the Vertex backend specifically and are not optional.
+# On the project this was developed against, `claude-sonnet-5` has a per-minute token quota of zero
+# and every call 429s; `claude-sonnet-4-5` in `us-east5` is the working combination. These are
+# properties of that Vertex project rather than of the runtime, which is why the model is a warning
+# naming the symptom and not a hardcoded substitution.
+VERTEX_PINNED_ENV = {"MAX_THINKING_TOKENS": "0"}
+
+FACTORY_CONFIG = Path("~/.factory/config.toml").expanduser()
+
+
+@dataclass(frozen=True)
+class CredentialShape:
+ """How a run reaches inference, described without naming any material.
+
+ `home_mounts` pairs a host path with a path *relative to the container's home directory*, not
+ an absolute one. The workspace is mounted path-preservingly but a credential store
+ is not: gcloud looks under `$HOME/.config/gcloud` inside the container, and the container's home
+ is not the host's. Leaving the destination home-relative keeps that mapping in one place — the
+ caller, which is the only thing that knows the container's home.
+ """
+
+ backend: str
+ ok: bool
+ detail: str
+ env: dict[str, str] = field(default_factory=dict)
+ home_mounts: tuple[tuple[Path, str], ...] = field(default=())
+ warnings: tuple[str, ...] = field(default=())
+ fix: str | None = None
+
+
+def _truthy(value: str | None) -> bool:
+ return (value or "").strip().lower() in ("1", "true", "yes")
+
+
+def resolve_credentials(
+ environ: dict[str, str] | None = None, *, config_path: Path | None = None
+) -> CredentialShape:
+ """Determine which backend a contained run would use, and what has to cross for it to work.
+
+ Checked in the order a user would expect to win: an explicitly configured Vertex setup, then a
+ direct API key, then a credential profile already sitting in the mounted `~/.factory/`. The
+ profile case comes last because it needs `--profile` in the payload to take effect, which the
+ host cannot see — the payload after `--` is opaque by design.
+ """
+ env = dict(os.environ if environ is None else environ)
+ config = config_path or FACTORY_CONFIG
+
+ if _truthy(env.get("CLAUDE_CODE_USE_VERTEX")):
+ return _vertex_shape(env, config)
+ if env.get("ANTHROPIC_API_KEY", "").strip():
+ return CredentialShape(
+ backend="anthropic",
+ ok=True,
+ detail=(
+ f"Anthropic API, key from ANTHROPIC_API_KEY, model {_model(env, config)}. The key "
+ "crosses "
+ "into the container."
+ ),
+ env={"ANTHROPIC_API_KEY": env["ANTHROPIC_API_KEY"]},
+ )
+ profiles = _credential_profiles(config)
+ if profiles:
+ return CredentialShape(
+ backend="profile",
+ ok=True,
+ detail=(
+ f"no backend variable set, but {config} defines credential profile(s): "
+ f"{', '.join(profiles)}. `~/.factory/` is mounted read-write, so `--profile <name>` "
+ "in the payload resolves inside the container with nothing forwarded."
+ ),
+ )
+ return CredentialShape(
+ backend="none",
+ ok=False,
+ detail=(
+ "no inference configuration found: CLAUDE_CODE_USE_VERTEX is unset, ANTHROPIC_API_KEY "
+ f"is unset, and {config} defines no credential profiles"
+ ),
+ fix=(
+ "export ANTHROPIC_API_KEY=... and re-run with --forward ANTHROPIC_API_KEY, or "
+ "configure Vertex (CLAUDE_CODE_USE_VERTEX=1 CLOUD_ML_REGION=... "
+ "ANTHROPIC_VERTEX_PROJECT_ID=... plus `gcloud auth application-default login`), or add "
+ f"a [credentials.<name>] section to {config}"
+ ),
+ )
+
+
+def _vertex_shape(env: dict[str, str], config_path: Path | None = None) -> CredentialShape:
+ missing = [name for name in VERTEX_VARS if not env.get(name, "").strip()]
+ adc = ADC_DIR / ADC_FILE
+ if not adc.exists():
+ missing.append(str(adc))
+ forwarded = {name: env[name] for name in VERTEX_VARS if env.get(name, "").strip()}
+ forwarded.update(VERTEX_PINNED_ENV)
+ detail = (
+ f"Vertex, project {env.get('ANTHROPIC_VERTEX_PROJECT_ID', '<unset>')} in "
+ f"{env.get('CLOUD_ML_REGION', '<unset>')}, model {_model(env, config_path)}, "
+ "credential from "
+ f"Application Default Credentials at {ADC_DIR}"
+ )
+ if missing:
+ return CredentialShape(
+ backend="vertex",
+ ok=False,
+ detail=f"{detail} — missing: {', '.join(missing)}",
+ env=forwarded,
+ home_mounts=((ADC_DIR, ADC_HOME_RELATIVE),) if ADC_DIR.is_dir() else (),
+ fix=(
+ "set CLAUDE_CODE_USE_VERTEX=1, CLOUD_ML_REGION and ANTHROPIC_VERTEX_PROJECT_ID, "
+ "then `gcloud auth application-default login`"
+ ),
+ )
+ return CredentialShape(
+ backend="vertex",
+ ok=True,
+ detail=detail,
+ env=forwarded,
+ home_mounts=((ADC_DIR, ADC_HOME_RELATIVE),),
+ warnings=(
+ "Vertex: MAX_THINKING_TOKENS=0 is pinned into the container, and an explicit --model is "
+ "required. Without one, a model whose per-minute token quota is zero 429s every call "
+ "and the run looks like a network fault.",
+ ),
+ )
+
+
+def _model(env: dict[str, str], config_path: Path | None = None) -> str:
+ """Which model the run would use, and where that came from. Never a credential."""
+ for name in ("FACTORY_MODEL", "ANTHROPIC_MODEL"):
+ value = env.get(name, "").strip()
+ if value:
+ return f"{value} (from {name})"
+ # The caller's config, not the module-level default: `resolve_credentials(config_path=...)`
+ # reads profiles from the path it was given, and reading the model from a different file made
+ # injection half-apply — under test that meant reaching into the developer's real
+ # ~/.factory/config.toml.
+ config = config_path or FACTORY_CONFIG
+ try:
+ with config.open("rb") as handle:
+ configured = str(tomllib.load(handle).get("defaults", {}).get("model", "")).strip()
+ except (OSError, tomllib.TOMLDecodeError):
+ configured = ""
+ if configured:
+ return f"{configured} (from {config} [defaults])"
+ return "<unset — pass --model in the payload>"
+
+
+def _credential_profiles(config_path: Path) -> list[str]:
+ try:
+ with config_path.open("rb") as handle:
+ data = tomllib.load(handle)
+ except (OSError, tomllib.TOMLDecodeError):
+ return []
+ credentials = data.get("credentials")
+ return sorted(credentials) if isinstance(credentials, dict) else []
+
+
+def vertex_model_warning(shape: CredentialShape, factory_args: list[str]) -> str | None:
+ """Warn when a Vertex run carries no explicit `--model`.
+
+ A warning rather than an error, and the one place the host looks inside the payload beyond path
+ rewriting: it inspects for the presence of a token, never its meaning, so it cannot break when
+ the CLI grows a subcommand. Left unwarned, the failure arrives as a 429 storm from
+ a model whose quota is zero, which reads like a network fault.
+ """
+ if shape.backend != "vertex":
+ return None
+ if any(token == "--model" or token.startswith("--model=") for token in factory_args):
+ return None
+ return (
+ "Vertex backend with no --model in the payload. On a project whose default model has a "
+ "zero per-minute token quota, every call 429s and the run reads as a network failure. "
+ "Pass --model explicitly, for example: -- ceo <path> --model claude-sonnet-4-5"
+ )
diff --git a/factory/contained/division.py b/factory/contained/division.py
new file mode 100644
index 000000000..bedac4ee1
--- /dev/null
+++ b/factory/contained/division.py
@@ -0,0 +1,455 @@
+"""The local container-manufacturing plane — opt-in via `--division`.
+
+The division gives the contained agent the *host's* podman engine, so it can build an image, run it,
+read the failure and iterate.
+
+**Why the builds happen outside the container.** The runtime container has no container engine of
+its own, and giving it one means nested containerization — which needs a privileged container or a
+user-namespace configuration that is fragile on Linux and unavailable inside the macOS podman
+machine. So the division reaches outward, and it is opt-in and separately named for exactly that
+reason.
+
+**What that costs, stated plainly.** For the life of the run, anything that can reach port 8430 can
+build and run containers on the host, on every network interface. `podman-mcp-server` has no
+authentication and nothing enforces access in front of it, so the mitigation is disclosure rather
+than technology: a warning that names the bind address and the exposure, and a shutdown tied to the
+run rather than left to chance.
+
+Four mechanical details, each of which fails silently if got wrong:
+
+- The server speaks **Streamable HTTP** (`--port 8430`, endpoint `/mcp`) — it is not a stdio server.
+- It nonetheless **exits when stdin reaches EOF**, even in HTTP mode, which is why a naive
+ background spawn leaves nothing listening and writes no error. `server_argv` gives it a writer
+ that never writes and never exits.
+- The address the *container* must use for "the host" is platform-dependent. On macOS the container
+ runs inside the podman machine VM, so podman's own `host.containers.internal` may resolve to the
+ VM's gateway rather than to macOS. `probe_host_alias` asks rather than assumes. (Probed on this
+ machine — macOS, libkrun, rootful — all three candidates reach a server bound on the host.)
+- **The server must outlive the command that started it**, which is the one place this module
+ departs from a literal reading of. The launch returns as soon as the detached tmux session
+ exists, by design, while the run continues for minutes or hours; a server whose lifetime
+ was the launcher's would be gone before the agent's first build. So it is detached into its own
+ process group, its PGID is recorded next to the workspace, and `factory contained rm` stops it.
+"""
+
+from __future__ import annotations
+
+import dataclasses
+import os
+import shutil
+import signal
+import socket
+import subprocess
+import sys
+import time
+from dataclasses import dataclass
+from pathlib import Path
+
+import structlog
+
+from factory.contained.errors import ContainedError
+from factory.contained.workspace import contained_home
+from factory.podman import (
+ ContainerPlan,
+ HOST_ALIAS,
+ build_run_command,
+)
+
+log = structlog.get_logger()
+
+DIVISION_PORT = 8430
+MCP_SERVER_PACKAGE = "podman-mcp-server"
+MCP_SERVER_NAME = "podman"
+
+# `npx` downloads the package on a cold first run before the server process exists at all, so this
+# is sized for that case rather than for a warm start.
+STARTUP_TIMEOUT = 90.0
+
+# Candidates for "the host", most-canonical first. `host.containers.internal` is podman's own name
+# and is right on Linux; on macOS it resolves to the podman machine VM rather than to macOS, so the
+# gvproxy host-gateway address is tried next. Probed rather than assumed.
+HOST_CANDIDATES = (HOST_ALIAS, "192.168.127.254", "host.docker.internal")
+
+DIVISION_BRIEF_PATH = ".factory/division/README.md"
+
+DIVISION_BRIEF = """\
+# Container division — you can build and run images
+
+This run has the container-manufacturing plane enabled. **This is a capability you already have,
+not something to build.** Do not write a CLI wrapper around podman; call the tools.
+
+## The tools
+
+They are registered as `mcp__{server}__*` and cover the whole podman surface: build an image, run a
+container, read its logs, stop it, remove it, inspect it, list images and containers, pull, push.
+
+## The loop
+
+1. **build** — `image_build` with a Containerfile and a tag. The build context is a path on the
+ host, and your workspace is mounted at the same absolute path inside and out, so the path you
+ can see is the path the build engine resolves.
+2. **run** — start a container on the tag you just built.
+3. **read** — fetch its logs. This is the step that tells you whether the image actually works,
+ as opposed to whether it built.
+4. **fix** — edit the Containerfile or the source, and go back to 1.
+
+A build that succeeds is not evidence that the image runs. Always complete the loop.
+
+## What is true about this environment
+
+- Builds execute on the **host's** engine, outside this container. They are not confined by it.
+- Images you build land in the host's image store and are visible to `podman images` there.
+- The endpoint is unauthenticated and lives only for the length of this run.
+- You cannot reach the cluster from here. This division is the host's engine, nothing else.
+"""
+
+
+@dataclass
+class Division:
+ """A running division: the server process, the address the container reaches it at, the plan."""
+
+ plan: ContainerPlan
+ endpoint: str
+ process: subprocess.Popen[bytes] | None
+ pid_file: Path | None = None
+
+ def keep(self) -> None:
+ """Record the server so it can be stopped later, and leave it running.
+
+ **The endpoint has to outlive the command that started it.** The launch returns as soon as
+ the detached tmux session exists — that is what lets it print the run's identifier instead
+ of blocking for the length of a cycle — but the run itself keeps going for
+ minutes or hours afterwards. A server tied to the launching process would be gone before
+ the agent's first build, and the agent would see a connection error that reads like a
+ podman fault.
+
+ So the server is detached into its own process group and its PGID is written next to the
+ workspace. `factory contained rm <name>` stops it, and `stop()` below is what the launch
+ path uses when it fails partway and the server should not survive.
+ """
+ if self.process is None or self.pid_file is None:
+ return
+ self.pid_file.parent.mkdir(parents=True, exist_ok=True)
+ self.pid_file.write_text(str(self.process.pid))
+ log.debug("division_kept", pid=self.process.pid, pid_file=str(self.pid_file))
+
+ def stop(self) -> None:
+ """Shut the server down. Used when the launch fails; `rm` uses `stop_recorded`."""
+ if self.process is None:
+ return
+ if self.process.poll() is not None:
+ log.debug("division_already_exited", returncode=self.process.returncode)
+ print("Division: podman-mcp-server had already exited.", file=sys.stderr)
+ self.process = None
+ return
+ _kill_group(self.process.pid)
+ try:
+ self.process.wait(timeout=10)
+ except subprocess.TimeoutExpired:
+ self.process.kill()
+ log.debug("division_stopped", port=DIVISION_PORT)
+ print(
+ f"Division: podman-mcp-server stopped; nothing is listening on {DIVISION_PORT}.",
+ file=sys.stderr,
+ )
+ if self.pid_file is not None and self.pid_file.exists():
+ self.pid_file.unlink()
+ self.process = None
+
+
+def _kill_group(pid: int) -> None:
+ """Signal the whole process group.
+
+ The server is one half of a shell pipeline (see `server_argv`), so signalling only the shell
+ leaves the other half — and whatever it is feeding — behind.
+ """
+ try:
+ os.killpg(os.getpgid(pid), signal.SIGTERM)
+ except (ProcessLookupError, PermissionError, OSError) as exc:
+ log.warning("division_kill_failed", pid=pid, error=str(exc))
+
+
+def pid_file_for(run_id: str) -> Path:
+ """Where a run's division PID is recorded. Next to the workspace, not inside it."""
+ return contained_home() / run_id / "division.pid"
+
+
+def stop_recorded(run_id: str) -> bool:
+ """Stop the division belonging to a run, if one is recorded. Called by `rm`.
+
+ Returns whether anything was stopped. A stale PID file — the process already gone — is cleaned
+ up and reported as nothing stopped, rather than left to accumulate.
+ """
+ pid_file = pid_file_for(run_id)
+ try:
+ pid = int(pid_file.read_text().strip())
+ except (OSError, ValueError):
+ return False
+ _kill_group(pid)
+ pid_file.unlink(missing_ok=True)
+ log.debug("division_stopped_by_lifecycle", run_id=run_id, pid=pid)
+ return True
+
+
+def server_argv(port: int = DIVISION_PORT) -> list[str]:
+ """The command that starts the server.
+
+ Two things here are not decoration. `npx -y` rather than a global install, so the runtime does
+ not require one more thing on the host to have been set up in advance; the package is cached
+ after the first run.
+
+ And the `tail -f /dev/null |` prefix, because the server **exits when stdin reaches EOF even in
+ HTTP mode**. A background spawn with stdin closed — or pointed at /dev/null, which EOFs
+ immediately — leaves nothing listening and writes no error at all. The pipeline gives it a
+ writer that never writes and never exits, which is a stdin that stays open without the
+ launching process having to stay alive to hold it.
+ """
+ return ["sh", "-c", f"tail -f /dev/null | npx -y {MCP_SERVER_PACKAGE} --port {port}"]
+
+
+def port_in_use(port: int) -> bool:
+ """Whether anything is listening right now. One connect, no waiting.
+
+ Distinct from `wait_for_listening`, which asks the opposite question — "has *our* server come up
+ yet" — and is allowed to block. This one runs before anything is started, so it must not.
+ """
+ with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as probe:
+ probe.settimeout(0.5)
+ return probe.connect_ex(("127.0.0.1", port)) == 0
+
+
+def wait_for_listening(port: int, timeout: float | None = None) -> bool:
+ """Block until something accepts on `port`, or the timeout expires.
+
+ Without this the container-side reachability probe runs against a server that has not finished
+ starting, concludes the host is unreachable, and tears down a division that was seconds from
+ working. `npx` makes the first run the slow case: it downloads the package before the server
+ process exists at all.
+
+ Checked from the host rather than from a container because this question is only "has it bound
+ the port yet" — *which address the container must use* is the separate question
+ `probe_host_alias` answers, and conflating the two makes a slow start look like a routing fault.
+ """
+ deadline = time.monotonic() + (STARTUP_TIMEOUT if timeout is None else timeout)
+ while time.monotonic() < deadline:
+ with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as probe:
+ probe.settimeout(1.0)
+ if probe.connect_ex(("127.0.0.1", port)) == 0:
+ return True
+ time.sleep(0.5)
+ return False
+
+
+def probe_argv(image: str, host: str, port: int = DIVISION_PORT) -> list[str]:
+ """A throwaway container that asks whether `host:port` is reachable from inside one.
+
+ Any HTTP response counts as reachable — the endpoint answers a bare GET with an error, and it
+ is the TCP path being tested, not the protocol. `curl` returns non-zero only when it could not
+ connect at all.
+ """
+ return [
+ "podman",
+ "run",
+ "--rm",
+ image,
+ "curl",
+ "-sS",
+ "--max-time",
+ "3",
+ "-o",
+ "/dev/null",
+ f"http://{host}:{port}/mcp",
+ ]
+
+
+def probe_host_alias(image: str, candidates: tuple[str, ...] = HOST_CANDIDATES) -> str | None:
+ """Which name for "the host" a container can actually reach the division at.
+
+ Returns None when none of them work, which is a hard failure for the caller: an agent given a
+ tool endpoint it cannot reach fails on its first build with a connection error that reads like
+ a podman fault.
+ """
+ for host in candidates:
+ try:
+ result = subprocess.run(
+ probe_argv(image, host), capture_output=True, text=True, timeout=60
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ continue
+ if result.returncode == 0:
+ log.debug("division_host_resolved", host=host)
+ return host
+ log.debug("division_host_unreachable", host=host, stderr=result.stderr.strip()[:120])
+ return None
+
+
+def mcp_config(endpoint: str) -> dict[str, object]:
+ """The `.mcp.json` the container writes next to the project before the factory starts."""
+ return {"mcpServers": {MCP_SERVER_NAME: {"type": "http", "url": endpoint}}}
+
+
+def port_owner() -> str | None:
+ """Which run already owns the division port, if any.
+
+ One port, one server, and the PID file is the only record of whose it is. Without this check a
+ second `--division` run finds the port bound, concludes the server it just started came up, and
+ silently drives the *first* run's endpoint — after which `rm` on either one pulls the tools out
+ from under the other. Both symptoms appear far from the cause.
+ """
+ home = contained_home()
+ if not home.is_dir():
+ return None
+ for candidate in sorted(home.iterdir()):
+ pid_file = candidate / "division.pid"
+ try:
+ pid = int(pid_file.read_text().strip())
+ except (OSError, ValueError):
+ continue
+ try:
+ os.kill(pid, 0) # signal 0: does the process still exist?
+ except ProcessLookupError:
+ pid_file.unlink(missing_ok=True) # stale; the run is gone
+ continue
+ except PermissionError:
+ pass # alive, owned by someone else
+ return candidate.name
+ return None
+
+
+def _warn(endpoint: str, run_id: str, *, dry_run: bool = False) -> None:
+ """Tell the user what was started, what it exposes, and what to do about it.
+
+ All three, in that order. The exposure is real and the user cannot mitigate it by understanding
+ our reasoning — only by knowing the bind scope and having a way to stop it.
+ """
+ started = "Would start" if dry_run else "Started"
+ stop = (
+ "It stops when the run is removed:"
+ if not dry_run
+ else "Nothing was started — this is a dry run."
+ )
+ print(
+ "\n"
+ " ┌─ Container builds enabled (--division) ───────────────────────────────────────\n"
+ f" │ {started} podman-mcp-server so the agent can build and run container images.\n"
+ f" │ The run reaches it at {endpoint}\n"
+ " │\n"
+ f" │ It listens on 0.0.0.0:{DIVISION_PORT} — every network interface, not just this\n"
+ " │ machine — and it has no authentication. For as long as the run lasts, anyone\n"
+ " │ who can reach that port can build and run containers as you.\n"
+ " │\n"
+ " │ Avoid --division on untrusted networks.\n"
+ f" │ {stop}\n"
+ + (f" │ factory contained rm {run_id}\n" if not dry_run else "")
+ + " └───────────────────────────────────────────────────────────────────────────────\n",
+ file=sys.stderr,
+ )
+
+
+def start_local_division(plan: ContainerPlan, *, dry_run: bool = False) -> Division:
+ """Start the division and fold its registration and brief into the plan.
+
+ In dry-run nothing is spawned and nothing is probed: the plan is composed against the canonical
+ host alias so the printed argv has the same shape the real path produces, and `stop()` on the
+ returned object is a no-op.
+ """
+ if dry_run:
+ endpoint = f"http://{HOST_ALIAS}:{DIVISION_PORT}/mcp"
+ _warn(endpoint, plan.name, dry_run=True)
+ print(f"[division] {' '.join(server_argv())}", file=sys.stderr)
+ return Division(plan=_with_division(plan, endpoint), endpoint=endpoint, process=None)
+
+ if shutil.which("npx") is None:
+ raise ContainedError(
+ "--division needs `npx` on PATH to start podman-mcp-server. Install Node.js "
+ "(`brew install node`) and retry, or drop --division to run without the "
+ "container-manufacturing plane."
+ )
+
+ owner = port_owner()
+ if owner is not None and owner != plan.name:
+ raise ContainedError(
+ f"the division port {DIVISION_PORT} is already held by the run {owner!r}. One port, one "
+ f"server: starting a second would silently drive {owner}'s endpoint, and stopping "
+ "either would pull the tools out from under the other. Finish or remove that run first "
+ f"(`factory contained rm {owner}`), or run this one without --division."
+ )
+ if owner is None and port_in_use(DIVISION_PORT):
+ # Something holds the port that this factory has no record of — an endpoint orphaned by a
+ # container removed with `podman rm` instead of `factory contained rm`, or by a deleted
+ # workspace directory. Proceeding would look like success and then quietly hand the agent
+ # somebody else's server, which is the very thing the ownership check exists to prevent.
+ raise ContainedError(
+ f"something is already listening on port {DIVISION_PORT}, and it is not a run this "
+ "factory is tracking — most likely a server orphaned by a container removed outside "
+ "`factory contained rm`.\n"
+ f" See what it is: lsof -nP -iTCP:{DIVISION_PORT} -sTCP:LISTEN\n"
+ f" Stop it: kill $(lsof -t -iTCP:{DIVISION_PORT} -sTCP:LISTEN)\n"
+ " Or run this one without --division."
+ )
+
+ log_dir = contained_home() / plan.name
+ log_dir.mkdir(parents=True, exist_ok=True)
+ log_path = log_dir / "division.log"
+ # `start_new_session` puts the pipeline in its own process group, which is what lets the server
+ # survive this command and still be stoppable as a unit later.
+ with log_path.open("ab") as handle:
+ process = subprocess.Popen(
+ server_argv(),
+ stdin=subprocess.DEVNULL,
+ stdout=handle,
+ stderr=handle,
+ start_new_session=True,
+ )
+ log.debug("division_started", pid=process.pid, port=DIVISION_PORT, log=str(log_path))
+
+ if not wait_for_listening(DIVISION_PORT):
+ division = Division(
+ plan=plan, endpoint="", process=process, pid_file=pid_file_for(plan.name)
+ )
+ division.stop()
+ raise ContainedError(
+ f"podman-mcp-server did not start listening on port {DIVISION_PORT} within "
+ f"{STARTUP_TIMEOUT}s. Its output is in {log_path}. A first run downloads the package, "
+ "which is the slow case; a port already in use is the other."
+ )
+
+ host = probe_host_alias(plan.image)
+ if host is None:
+ division = Division(
+ plan=plan, endpoint="", process=process, pid_file=pid_file_for(plan.name)
+ )
+ division.stop()
+ raise ContainedError(
+ f"the division's endpoint on port {DIVISION_PORT} is not reachable from inside a "
+ f"container by any of {', '.join(HOST_CANDIDATES)}. On macOS the container runs inside "
+ "the podman machine VM, so podman's name for the host resolves to the VM's gateway "
+ "rather than to this machine — check that podman-mcp-server binds 0.0.0.0 and that the "
+ "port is not firewalled."
+ )
+ endpoint = f"http://{host}:{DIVISION_PORT}/mcp"
+ _warn(endpoint, plan.name)
+ return Division(
+ plan=_with_division(plan, endpoint),
+ endpoint=endpoint,
+ process=process,
+ pid_file=pid_file_for(plan.name),
+ )
+
+
+def _with_division(plan: ContainerPlan, endpoint: str) -> ContainerPlan:
+ """Re-compose the run command with the MCP registration and the brief.
+
+ The brief is not decoration. Without it, a Refiner given only the tool registration scoped 165
+ lines of new CLI code to wrap the tools it already had, while its own task text forbade
+ modifying source.
+ """
+ return dataclasses.replace(
+ plan,
+ run_command=build_run_command(
+ plan.workdir,
+ plan.factory_command,
+ mcp_config=mcp_config(endpoint),
+ files={DIVISION_BRIEF_PATH: DIVISION_BRIEF.format(server=MCP_SERVER_NAME)},
+ ),
+ )
diff --git a/factory/contained/env.py b/factory/contained/env.py
new file mode 100644
index 000000000..2565715be
--- /dev/null
+++ b/factory/contained/env.py
@@ -0,0 +1,96 @@
+"""Which environment variables cross into a contained run, and what is masked when one is printed.
+
+Credential material genuinely crosses into the runtime: nothing outside it terminates inference on
+its behalf. `CLAUDE_CODE_*` and `CLOUD_ML_*` have to cross for the Vertex path to work, and
+`ANTHROPIC_API_KEY` for the direct one.
+
+So the policy is: `FACTORY_` by default, plus exactly what `--forward` names, plus the backend
+variables the resolved credential shape requires (`factory.contained.credentials`). Nothing
+implicit — a variable that is not in one of those three sets does not cross, and the three sets are
+each visible at the call site rather than accumulated by prefix matching.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+
+# Set in the environment the factory runs with inside the container. Everything that has to behave
+# differently in there reads it through `in_contained()` rather than checking the variable, so
+# there is one answer to "am I contained?" and one place to change it. The `FACTORY_` prefix is
+# deliberate: the forwarding policy below carries it inward without a special case.
+CONTAINED_ENV_VAR = "FACTORY_CONTAINED"
+
+
+@dataclass(frozen=True)
+class EnvPolicy:
+ """Which environment variables cross into a wrapped invocation, and what replaces them.
+
+ `forward_prefixes` selects variables from the caller's environment by prefix. `drop_prefixes`
+ and `drop_keys` then remove variables a prefix swept in but that must not cross — the prefixes
+ are coarse, and a policy needs a way to say "everything under FACTORY_, except this".
+ `substitutions` are applied last and always win, so a policy can both refuse to forward a
+ variable and pin a different value for it.
+ """
+
+ forward_prefixes: tuple[str, ...]
+ drop_prefixes: tuple[str, ...] = field(default=())
+ drop_keys: tuple[str, ...] = field(default=())
+ substitutions: tuple[tuple[str, str], ...] = field(default=())
+
+ def resolve(self, environ: dict[str, str]) -> dict[str, str]:
+ """Return the environment the wrapped invocation should see, sorted by key."""
+ forwarded = {
+ k: v
+ for k, v in environ.items()
+ if k.startswith(self.forward_prefixes)
+ and not (self.drop_prefixes and k.startswith(self.drop_prefixes))
+ and k not in self.drop_keys
+ }
+ forwarded.update(dict(self.substitutions))
+ return dict(sorted(forwarded.items()))
+
+
+# Host-only `FACTORY_` controls. Each one describes *this* invocation or a *host* path, so
+# forwarding it either puts the contained factory into a mode it was never asked for or points it
+# at a directory that does not exist inside.
+_HOST_ONLY_FACTORY_KEYS = (
+ "FACTORY_CONTAINED_DRY_RUN", # a decision about this invocation, not the contained one
+ "FACTORY_CONTAINED_HOME", # a host path; inside, the workspace is already the workspace
+ "FACTORY_CONTAINED_IMAGE", # already resolved into the plan by the time this is composed
+)
+
+CONTAINED_ENV_POLICY = EnvPolicy(
+ forward_prefixes=("FACTORY_",),
+ drop_prefixes=("FACTORY_EVAL_",),
+ drop_keys=_HOST_ONLY_FACTORY_KEYS,
+ substitutions=((CONTAINED_ENV_VAR, "1"),),
+)
+
+# Values under these key fragments are masked wherever a composed environment is printed or logged.
+# Substituted values are never masked — they are placeholders whose presence is the thing being
+# verified, and hiding them would defeat the check.
+_SECRET_KEY_FRAGMENTS = ("KEY", "TOKEN", "SECRET", "PASSWORD", "CREDENTIAL")
+_REDACTED = "<redacted>"
+
+
+def is_secret_key(key: str) -> bool:
+ return any(fragment in key.upper() for fragment in _SECRET_KEY_FRAGMENTS)
+
+
+def redact_argv(argv: list[str], policy: EnvPolicy) -> list[str]:
+ """Mask secret-looking `--env KEY=VALUE` pairs in a composed command line.
+
+ Credentials now genuinely cross the boundary, so this is no longer a belt-and-braces
+ check against a policy that already refused to forward them — it is the only thing standing
+ between a real API key and every dry-run transcript, log line and evidence file.
+ """
+ pinned = dict(policy.substitutions)
+ out: list[str] = []
+ for index, token in enumerate(argv):
+ previous = argv[index - 1] if index else ""
+ if previous == "--env" and "=" in token:
+ key, _, value = token.partition("=")
+ out.append(f"{key}={_REDACTED}" if key not in pinned and is_secret_key(key) else token)
+ continue
+ out.append(token)
+ return out
diff --git a/factory/contained/errors.py b/factory/contained/errors.py
new file mode 100644
index 000000000..5717f84ad
--- /dev/null
+++ b/factory/contained/errors.py
@@ -0,0 +1,13 @@
+"""One error type for "stop before provisioning anything, and say why".
+
+A half-materialized run is worse than none: reporting and stopping means the next attempt starts
+clean instead of layering on top of a workspace or plan already known bad. Every module that can
+decide a run must not start raises this, and `cmd_contained` is the single place that turns it into
+a message and an exit code.
+"""
+
+from __future__ import annotations
+
+
+class ContainedError(RuntimeError):
+ """A contained run cannot proceed; the message names the cause and, where possible, the fix."""
diff --git a/factory/contained/identity.py b/factory/contained/identity.py
new file mode 100644
index 000000000..afacfae16
--- /dev/null
+++ b/factory/contained/identity.py
@@ -0,0 +1,134 @@
+"""Which UID the container runs as, decided by measurement rather than by rule.
+
+Identity is the trap. A bind mount carries ownership through unchanged, so a container whose UID
+does not own the mounted tree gets a silently read-only workspace — a failure that surfaces several
+steps later as an agent unable to explain why its edits vanished.
+
+The mechanism differs by how podman is running, and no single rule is right for all three:
+
+- **Rootless podman:** `--userns=keep-id` maps the host UID into the container, so files the host
+ user owns are owned by the container user. This is the intended configuration.
+- **Rootful podman:** the mapping is different, and the runtime image's default UID matches neither
+ the host user nor root.
+- **macOS:** the container runs inside the podman machine VM and the host path reaches it through
+ the VM's filesystem sharing, so what the container sees is what the VM's sharing layer decided —
+ not what `ls -l` on the host says.
+
+Rather than encode a rule that is wrong for one of these, this module **asks**: it starts a
+throwaway container with the same mount and reads back the owner the kernel reports inside. The
+probe is the contract; `--userns` and `--user` are implementation details that may change per
+platform, and the writability probe in `provenance.py` is the second, independent check that the
+answer was right.
+
+Group 0 is used rather than the mount's own GID because the runtime image follows the arbitrary-UID
+convention (files group-owned by root with group permissions equal to user permissions), which is
+also what the cluster's restricted SCC requires. One image, one identity story.
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+from dataclasses import dataclass
+
+import structlog
+
+from factory.podman import Mount, build_info_argv, build_stat_argv
+
+log = structlog.get_logger()
+
+
+class IdentityError(RuntimeError):
+ """The container identity could not be determined, so nothing should be provisioned."""
+
+
+@dataclass(frozen=True)
+class Identity:
+ """How to run the container so it can write the workspace."""
+
+ user: str | None
+ userns: str | None
+ detail: str
+
+
+def podman_is_rootless() -> bool | None:
+ """Whether podman's active connection is rootless. None when podman cannot be reached."""
+ try:
+ result = subprocess.run(build_info_argv(), capture_output=True, text=True)
+ except (FileNotFoundError, PermissionError, OSError):
+ return None
+ if result.returncode != 0:
+ return None
+ try:
+ info = json.loads(result.stdout or "{}")
+ except json.JSONDecodeError:
+ return None
+ security = info.get("host", {}).get("security", {})
+ rootless = security.get("rootless")
+ return bool(rootless) if isinstance(rootless, bool) else None
+
+
+def mount_owner(image: str, mount: Mount) -> tuple[int, int] | None:
+ """The mount's owner as the *container* sees it, or None when the probe could not run."""
+ try:
+ result = subprocess.run(
+ build_stat_argv(image, mount), capture_output=True, text=True, timeout=120
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+ if result.returncode != 0:
+ log.warning("contained_identity_probe_failed", stderr=result.stderr.strip()[:200])
+ return None
+ raw = result.stdout.strip().splitlines()[-1] if result.stdout.strip() else ""
+ uid, _, gid = raw.partition(":")
+ try:
+ return int(uid), int(gid)
+ except ValueError:
+ return None
+
+
+def resolve_identity(image: str, mount: Mount, *, dry_run: bool = False) -> Identity:
+ """Decide the container identity for a workspace mount.
+
+ Dry-run projects the answer from the host UID instead of starting a probe container: composing
+ a command must not provision anything, and the argv shape is identical either way.
+ """
+ if dry_run:
+ return Identity(
+ user=f"{os.getuid()}:0",
+ userns=None,
+ detail=f"dry-run: identity projected from the host UID ({os.getuid()}), not probed",
+ )
+
+ rootless = podman_is_rootless()
+ if rootless:
+ # keep-id maps the host UID straight through, which is exactly the property needed, and it
+ # is unavailable to a rootful connection (podman rejects it outright).
+ return Identity(
+ user=None,
+ userns="keep-id",
+ detail=f"rootless podman: --userns=keep-id maps host UID {os.getuid()} into the container",
+ )
+
+ owner = mount_owner(image, mount)
+ if owner is None:
+ raise IdentityError(
+ f"could not read {mount.target} from inside a container, so the run cannot start.\n"
+ " Most likely one of:\n"
+ " - the podman machine does not share this path (macOS shares your home directory "
+ "by default)\n"
+ f" - the runtime image is missing — run `factory contained verify`\n"
+ " - the podman machine is not running — run `podman machine start`\n"
+ f" To see the failure yourself:\n"
+ f" podman run --rm -v {mount.as_flag()} {image} stat -c '%u:%g' {mount.target}"
+ )
+ uid, gid = owner
+ return Identity(
+ user=f"{uid}:0",
+ userns=None,
+ detail=(
+ f"rootful podman: the workspace is owned by {uid}:{gid} inside a container, so the run "
+ f"uses --user {uid}:0 (group 0 because the runtime image is built for arbitrary UIDs)"
+ ),
+ )
diff --git a/factory/contained/k8s.py b/factory/contained/k8s.py
new file mode 100644
index 000000000..6c5065e2d
--- /dev/null
+++ b/factory/contained/k8s.py
@@ -0,0 +1,1088 @@
+"""Kubernetes/OpenShift integration — composing the commands and manifests for a cluster run.
+
+Everything that knows the `kubectl`/`oc` CLI lives here, for the same reason `factory/podman.py`
+exists: the surface is external and moves independently, and one file to fix is the difference
+between a version bump and an archaeology session. The factory shells out rather than adding a
+Kubernetes client library — that matches how the local target shells out to podman, and it supplies
+`exec -it`, `cp` and `port-forward` for free.
+
+Two shapes are worth reading before the code.
+
+**The workspace arrives as one tarball, not as a directory copy.** `oc cp` of a tree is one API
+round trip per file and is painfully slow on a repository. Instead the pod carries an initContainer
+that blocks until the workspace has been unpacked into the PVC, the host streams a single tarball
+into that initContainer over `exec -i`, and the initContainer then exits and lets the factory
+container start. The wait loop is what makes the ordering work at all: an initContainer that is
+waiting is *running*, and a running container is one you can exec into.
+
+**The pod is a plain pod under the restricted SCC.** No privileged flags, no host mounts, no
+capabilities. The workspace is a copy on a PVC that survives pod restart, eviction and node drain,
+so a multi-hour run is recoverable.
+"""
+
+from __future__ import annotations
+
+import json
+import shutil
+import subprocess
+import sys
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+import structlog
+
+from factory.contained.errors import ContainedError
+from factory.contained.runtimes import LifecycleError, Runtime
+
+log = structlog.get_logger()
+
+# Where the workspace lands inside the pod. Unlike the local target there is no path-preserving
+# requirement — nothing outside the pod resolves these paths — so one fixed root keeps the manifests
+# readable and the path rewriting trivial.
+WORKSPACE_ROOT = "/workspace"
+
+FACTORY_CONTAINER = "factory"
+LOADER_CONTAINER = "workspace-loader"
+SIDECAR_CONTAINER = "build-sidecar"
+
+SERVICE_ACCOUNT = "factory"
+PVC_NAME = "factory-workspace"
+SECRET_NAME = "factory-credentials"
+
+# Google Application Default Credentials are a *file*, and `GOOGLE_APPLICATION_CREDENTIALS` is a
+# *path* to one — which is why `envFrom` alone cannot carry them: it would set the variable to the
+# JSON text and the auth library would try to open a file named `{"type": "authorized_user"...}`.
+# So the Secret is mounted as a directory as well as being read as environment, and the variable is
+# pointed at the resulting file.
+#
+# The key is named like an environment variable rather than like a filename on purpose. `envFrom`
+# maps every key to a variable and skips the ones that are not legal names — a key called
+# `application_default_credentials.json` is not, so the pod would start with an
+# `InvalidEnvironmentVariableNames` event attached to it, which reads as a fault and is not one.
+ADC_SECRET_KEY = "GOOGLE_APPLICATION_CREDENTIALS_JSON"
+CREDENTIALS_MOUNT = "/var/run/factory/credentials"
+ADC_PATH = f"{CREDENTIALS_MOUNT}/{ADC_SECRET_KEY}"
+
+# The build sidecar runs a different image from the agent's container, and that is the whole point:
+# it is the only holder of `oc` and the ServiceAccount token, and the runtime image deliberately has
+# neither. Using one image for both collapses that separation — and fails at the first build with
+# `oc: command not found`.
+SIDECAR_IMAGE_ENV = "FACTORY_CONTAINED_SIDECAR_IMAGE"
+DEFAULT_SIDECAR_IMAGE = "quay.io/openshift/origin-cli:latest"
+
+LABEL_CONTAINED = "factory.contained"
+LABEL_PROJECT = "factory.project"
+LABEL_NAME = "factory.name"
+LABEL_RUN = "factory.run"
+
+# How long the loader waits for the host before giving up. Long enough for a large repository over a
+# slow link; short enough that a host that died mid-upload does not pin a pod indefinitely.
+LOADER_TIMEOUT_SECONDS = 900
+
+# Where the sidecar watches for build requests. On the PVC, because that is the one thing both
+# containers can see — and deliberately *not* a route the agent can use to reach the cluster: it can
+# ask for a build, and nothing else.
+REQUEST_DIR = f"{WORKSPACE_ROOT}/.factory/division/requests"
+RESULT_DIR = f"{WORKSPACE_ROOT}/.factory/division/results"
+
+# How long the sidecar waits for a Build to reach a terminal phase after its logs have ended. The
+# gap is small but real — the log stream closes before the controller writes the final phase — and
+# without the wait every successful build reads as "Running", which the Complete check calls a
+# failure.
+PHASE_TIMEOUT_SECONDS = 120
+
+
+def unpack_marker(run_name: str) -> str:
+ """The marker the loader waits for, per run.
+
+ It lives on the PVC rather than in a shared emptyDir so a pod that restarts after a successful
+ unpack does not re-request the tarball it already has. It is named after the run because the PVC
+ outlives the run that filled it: one shared marker would let the *next* run find it, skip its own
+ upload, and quietly execute against the previous run's files.
+ """
+ return f"{WORKSPACE_ROOT}/.factory-unpacked-{run_name}"
+
+
+class ClusterError(ContainedError):
+ """A cluster operation failed in a way that should stop the run, with the cause named."""
+
+
+def cli_binary() -> str:
+ """`oc` when present, else `kubectl`.
+
+ Preferred rather than required: everything the base runtime needs works with either, and the
+ OpenShift-only pieces (the division's `Build` objects) check for the *API*, not the binary — a
+ cluster is not OpenShift because someone installed `oc`.
+ """
+ for candidate in ("oc", "kubectl"):
+ if shutil.which(candidate):
+ return candidate
+ raise ClusterError(
+ "neither `oc` nor `kubectl` is on PATH. Install one and retry — `factory contained verify "
+ "--target k8s` lists every cluster prerequisite."
+ )
+
+
+def current_namespace() -> str | None:
+ """The namespace from the current context. Never hardcoded."""
+ result = _run(cli(cli_binary(), "config", "view", "--minify", "-o", "jsonpath={..namespace}"))
+ if result is None or result.returncode != 0:
+ return None
+ return result.stdout.strip() or None
+
+
+@dataclass(frozen=True)
+class ClusterContext:
+ """Which cluster, as which user, in which namespace — every field optional.
+
+ A namespace name on its own does not identify anything: `default` exists on every cluster
+ anyone has ever logged into, so "your current context is set to 'default'" cannot answer the
+ question a user actually has before applying RBAC, which is *where*. The API server URL is what
+ answers it.
+
+ Any field can be `None` — a kubeconfig can omit a namespace, and an unreachable or malformed
+ one yields all four empty. Read-only and local; this never contacts the cluster.
+ """
+
+ context: str | None = None
+ server: str | None = None
+ user: str | None = None
+ namespace: str | None = None
+
+
+# Which context every cluster command this invocation issues is pinned to. Process-global on
+# purpose: it is configuration for the whole invocation, decided once at entry from `--context` or
+# from the setup wizard's chooser, and threading it through forty call sites would mean every one
+# of them could forget. `cli()` is the single place it is applied, so a command that skips `cli()`
+# is the only way to reach the wrong cluster — which is a thing a reader can check.
+_ACTIVE_CONTEXT: str | None = None
+
+
+def set_active_context(name: str | None) -> None:
+ """Pin every later cluster command to `name`. `None` restores "whatever kubeconfig says"."""
+ global _ACTIVE_CONTEXT
+ _ACTIVE_CONTEXT = name or None
+
+
+def active_context() -> str | None:
+ return _ACTIVE_CONTEXT
+
+
+def cli(binary: str, *args: str) -> list[str]:
+ """Compose a cluster CLI invocation pinned to the context this invocation targets.
+
+ `--context` rather than `config use-context`: choosing where *this* command goes must not
+ rewrite the user's kubeconfig behind their back. Switching their default is offered separately,
+ as its own question.
+ """
+ argv = [binary]
+ if _ACTIVE_CONTEXT:
+ argv += ["--context", _ACTIVE_CONTEXT]
+ return argv + list(args)
+
+
+def _kubeconfig_json(argv: list[str]) -> dict[str, Any]:
+ """A `config view -o json` as a dict — `{}` for every way it can fail to be one.
+
+ Takes the argv rather than composing it, because the two readers below deliberately differ:
+ `cluster_context` goes through `cli()` and so reports the context this run is pinned to, while
+ `list_contexts` must NOT, since a chooser pinned to one context could only ever offer that one.
+
+ A kubeconfig is a file a person edits, and an unreadable or half-written one has to degrade to
+ "nothing is known" rather than raise inside display code.
+ """
+ result = _run(argv, timeout=15)
+ if result is None or result.returncode != 0:
+ return {}
+ try:
+ data = json.loads(result.stdout or "{}")
+ except json.JSONDecodeError:
+ return {}
+ return data if isinstance(data, dict) else {}
+
+
+def _name(raw: object) -> str | None:
+ """One kubeconfig field as a non-empty string, or None.
+
+ Every field of `ClusterContext` is optional, and the absent and empty-string cases must collapse
+ to the same thing: `""` renders as a value the user chose, which is how "context ''" reaches a
+ screen. `str()` because the JSON is not schema-checked — nothing guarantees these are strings.
+ """
+ return str(raw or "") or None
+
+
+def list_contexts() -> list[ClusterContext]:
+ """Every context in the kubeconfig, so a cluster can be chosen rather than assumed.
+
+ Read-only and local — this contacts no cluster, which matters because a kubeconfig routinely
+ holds contexts for clusters that are down, expired, or on a network you are not currently on.
+ """
+ try:
+ binary = cli_binary()
+ except ClusterError:
+ return []
+ data = _kubeconfig_json([binary, "config", "view", "-o", "json"])
+ servers = {
+ entry.get("name"): (entry.get("cluster") or {}).get("server")
+ for entry in data.get("clusters") or []
+ if isinstance(entry, dict)
+ }
+ contexts = []
+ for entry in data.get("contexts") or []:
+ if not isinstance(entry, dict):
+ continue
+ detail = entry.get("context") or {}
+ contexts.append(
+ ClusterContext(
+ context=_name(entry.get("name")),
+ server=_name(servers.get(detail.get("cluster"))),
+ user=_name(detail.get("user")),
+ namespace=_name(detail.get("namespace")),
+ )
+ )
+ return contexts
+
+
+def secret_keys(name: str, namespace: str) -> set[str]:
+ """The Secret's key *names* — never its values. Empty when it cannot be read.
+
+ The launch needs this to know whether a Google credential file is present, because that decides
+ whether the pod mounts one. Keys only: a function that reads a Secret to decide a mount must not
+ become a way to print one.
+ """
+ try:
+ binary = cli_binary()
+ except ClusterError:
+ return set()
+ result = _run(
+ cli(binary, "get", "secret", name, "-n", namespace, "-o", "jsonpath={.data}"), timeout=30
+ )
+ if result is None or result.returncode != 0:
+ return set()
+ raw = (result.stdout or "").strip()
+ if not raw.startswith("{"):
+ return set()
+ try:
+ return set(json.loads(raw).keys())
+ except json.JSONDecodeError:
+ return set()
+
+
+def use_context(name: str) -> tuple[bool, str]:
+ """Make `name` the kubeconfig's default. Only ever called after the user asks for it."""
+ try:
+ binary = cli_binary()
+ except ClusterError as exc:
+ return False, str(exc)
+ result = _run([binary, "config", "use-context", name], timeout=30)
+ if result is None:
+ return False, f"could not run `{binary} config use-context {name}`"
+ if result.returncode == 0:
+ return True, (result.stdout or "").strip()
+ detail = (result.stderr or "").strip().splitlines()
+ return False, detail[0][:200] if detail else "no detail given"
+
+
+def _first_section(data: dict[str, Any], key: str, inner: str) -> dict[str, Any]:
+ """`data[key][0][inner]` when every step of that is what it claims to be, else `{}`.
+
+ `--minify` reduces the file to the current context, so the lists below hold exactly one entry —
+ but "should hold one dict" and "does" are different claims about a file a person edits.
+ """
+ entries = data.get(key)
+ if isinstance(entries, list) and entries and isinstance(entries[0], dict):
+ nested = entries[0].get(inner)
+ if isinstance(nested, dict):
+ return nested
+ return {}
+
+
+def cluster_context() -> ClusterContext:
+ """Read the current context out of the kubeconfig, for display.
+
+ One `config view --minify -o json` rather than four jsonpath calls. Only the *names* are taken
+ from it — the context, the user's name, the server URL, the namespace — and never anything from
+ the `users` section, which is where credential material lives.
+ """
+ try:
+ binary = cli_binary()
+ except ClusterError:
+ return ClusterContext()
+ data = _kubeconfig_json(cli(binary, "config", "view", "--minify", "-o", "json"))
+ context = _first_section(data, "contexts", "context")
+ cluster = _first_section(data, "clusters", "cluster")
+ return ClusterContext(
+ context=_name(data.get("current-context")),
+ server=_name(cluster.get("server")),
+ user=_name(context.get("user")),
+ namespace=_name(context.get("namespace")),
+ )
+
+
+def has_cluster_context() -> bool:
+ """Whether a cluster is configured at all.
+
+ `ls` spans both targets, and a laptop that has never touched a cluster should not be told its
+ cluster is broken. This separates "not set up" from "set up and unreachable". Reading the
+ kubeconfig is local and cannot hang.
+ """
+ result = _run(cli(cli_binary(), "config", "current-context"), timeout=10)
+ return result is not None and result.returncode == 0 and bool(result.stdout.strip())
+
+
+def resolve_sidecar_image(env: dict[str, str] | None = None) -> str:
+ import os
+
+ source = os.environ if env is None else env
+ return source.get(SIDECAR_IMAGE_ENV) or DEFAULT_SIDECAR_IMAGE
+
+
+def resolve_namespace(explicit: str | None) -> str:
+ namespace = explicit or current_namespace()
+ if not namespace:
+ # Never say "pass --namespace" to someone who just did. The two causes have different
+ # fixes, and blaming the user for the flag they used sends them round in circles.
+ if explicit is not None:
+ raise ClusterError(
+ f"--namespace was given as {explicit!r}, which is not a usable name."
+ )
+ raise ClusterError(
+ "no namespace given. Pass --namespace <name> before the subcommand, or select one "
+ "with `oc project <name>`."
+ )
+ return namespace
+
+
+def _run(argv: list[str], *, timeout: int = 120) -> subprocess.CompletedProcess[str] | None:
+ try:
+ return subprocess.run(argv, capture_output=True, text=True, timeout=timeout)
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+
+
+# ------------------------------------------------------------------------------------------------
+# Command composition
+# ------------------------------------------------------------------------------------------------
+
+
+def build_apply_argv(namespace: str) -> list[str]:
+ return cli(cli_binary(), "apply", "-n", namespace, "-f", "-")
+
+
+# Listing is an interactive operation — a user waiting at a prompt — so it gets a short client-side
+# deadline as well as a subprocess timeout. Without `--request-timeout` kubectl retries internally
+# and an unreachable cluster blocks for minutes before the outer timeout can fire.
+LIST_TIMEOUT_SECONDS = 10
+
+
+def build_get_pods_argv(namespace: str) -> list[str]:
+ """Every pod the factory created in this namespace — and nothing else."""
+ return cli(
+ cli_binary(),
+ "get",
+ "pods",
+ "-n",
+ namespace,
+ "-l",
+ f"{LABEL_CONTAINED}=true",
+ "-o",
+ "json",
+ f"--request-timeout={LIST_TIMEOUT_SECONDS}s",
+ )
+
+
+def build_pod_exec_argv(
+ name: str,
+ namespace: str,
+ argv: list[str],
+ *,
+ tty: bool = False,
+ container: str = FACTORY_CONTAINER,
+) -> list[str]:
+ cmd = cli(cli_binary(), "exec")
+ if tty:
+ cmd += ["-i", "-t"]
+ else:
+ cmd.append("-i")
+ cmd += ["-n", namespace, name, "-c", container, "--", *argv]
+ return cmd
+
+
+def build_pod_attach_argv(
+ name: str, namespace: str | None = None, *, session: str = "factory"
+) -> list[str]:
+ """`oc exec -it <pod> -- tmux attach`.
+
+ tmux has no network protocol, so an exec with a TTY is the transport. A pod restart loses the
+ session; the workspace survives on the PVC.
+ """
+ return build_pod_exec_argv(
+ name, resolve_namespace(namespace), ["tmux", "attach", "-t", session], tty=True
+ )
+
+
+def build_delete_pod_argv(name: str, namespace: str) -> list[str]:
+ return cli(cli_binary(), "delete", "pod", name, "-n", namespace, "--ignore-not-found")
+
+
+def render_access_review(
+ verb: str,
+ resource: str,
+ namespace: str,
+ *,
+ subresource: str = "",
+ group: str = "",
+ as_service_account: str | None = None,
+) -> str:
+ """A SubjectAccessReview asking whether a subject may do one thing in one namespace.
+
+ **The API object, not `oc auth can-i`** — and the difference is not stylistic. Measured against
+ OpenShift 4.21:
+
+ | asked | SubjectAccessReview | `oc auth can-i --as` |
+ |----------------------|---------------------|----------------------|
+ | `create pods` | true | yes |
+ | `create pods/exec` | **false** | **yes** |
+ | `get pods/log` | true | yes |
+ | `create secrets` | false | no |
+
+ The CLI collapses a subresource onto its parent when impersonating, so it answers "yes" for
+ `pods/exec` on a ServiceAccount that RBAC plainly denies. That single wrong answer would make
+ `_no_exec_check` — the one check standing between the k8s division's sidecar and an agent that
+ can exec into it — report the boundary as broken on *every* cluster, forever. the design says
+ "via `SelfSubjectAccessReview`", meaning this object; the shorthand is not a substitute.
+
+ `subresource` is a field of its own here rather than a `resource/sub` string, which is exactly
+ the distinction the CLI loses.
+ """
+ attributes: dict[str, str] = {"namespace": namespace, "verb": verb, "resource": resource}
+ if subresource:
+ attributes["subresource"] = subresource
+ if group:
+ # Omitted means the *core* group, not "any group". A review for `builds` with no group asks
+ # about a core resource that does not exist and comes back denied — which would report a
+ # correctly-configured division namespace as missing its build permissions.
+ attributes["group"] = group
+ spec: dict[str, object] = {"resourceAttributes": attributes}
+ if as_service_account:
+ spec["user"] = f"system:serviceaccount:{namespace}:{as_service_account}"
+ kind = "SubjectAccessReview"
+ else:
+ # Without a subject it is a *self* review — "can I", not "can they". Both matter, and they
+ # answer different questions: whether you can create the pod, and whether the pod can do
+ # what the run needs.
+ kind = "SelfSubjectAccessReview"
+ return json.dumps(
+ {"apiVersion": "authorization.k8s.io/v1", "kind": kind, "spec": spec}, sort_keys=True
+ )
+
+
+def build_access_review_argv() -> list[str]:
+ """Post an access review and print nothing but the verdict."""
+ return cli(cli_binary(), "create", "-f", "-", "-o", "jsonpath={.status.allowed}")
+
+
+def access_review(
+ verb: str,
+ resource: str,
+ namespace: str,
+ *,
+ subresource: str = "",
+ group: str = "",
+ as_service_account: str | None = None,
+) -> bool | None:
+ """Whether the subject may do this. `None` when the review could not be run at all.
+
+ None is distinct from False on purpose: "denied" and "we could not find out" call for different
+ messages, and collapsing them reports a namespace as misconfigured when the cluster was simply
+ unreachable.
+ """
+ payload = render_access_review(
+ verb,
+ resource,
+ namespace,
+ subresource=subresource,
+ group=group,
+ as_service_account=as_service_account,
+ )
+ try:
+ result = subprocess.run(
+ build_access_review_argv(), input=payload, capture_output=True, text=True, timeout=60
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+ if result.returncode != 0:
+ log.warning("k8s_access_review_failed", stderr=result.stderr.strip()[:200])
+ return None
+ return result.stdout.strip() == "true"
+
+
+def build_api_resources_argv(api_group: str) -> list[str]:
+ """Detect an API by presence, not by which binary is installed."""
+ return cli(cli_binary(), "api-resources", "--api-group", api_group, "-o", "name")
+
+
+# OpenShift records the group range a namespace's pods may use in this annotation, as
+# "<start>/<size>". Kubernetes chowns a volume to the pod's `fsGroup` and marks it setgid, which is
+# the only supported way to make a PVC writable by a container running as an arbitrary UID.
+_SUPPLEMENTAL_GROUPS_ANNOTATION = "openshift.io/sa.scc.supplemental-groups"
+
+
+def namespace_fs_group(namespace: str) -> int | None:
+ """The `fsGroup` this namespace's pods may use, or None when the cluster does not say.
+
+ **Without this the workspace upload fails and it looks like a tar bug.** A freshly provisioned
+ PVC mounts as `root:root 0755`; the container runs as an arbitrary UID with gid 0; and the
+ unpack dies on `Cannot mkdir: Permission denied` for a directory the pod can plainly see. It is
+ only a *group* permission problem, and `fsGroup` is the field that fixes it.
+
+ Read from the namespace rather than hardcoded because an SCC with `fsGroup: MustRunAs` rejects a
+ value outside its range — so a fixed number works on one cluster and fails admission on the
+ next. `None` means "say nothing and let the cluster default it", which is right for plain
+ Kubernetes, where volumes are not root-owned in the first place.
+ """
+ result = _run(
+ cli(
+ cli_binary(),
+ "get",
+ "namespace",
+ namespace,
+ "-o",
+ f"jsonpath={{.metadata.annotations.{_SUPPLEMENTAL_GROUPS_ANNOTATION.replace('.', chr(92) + '.')}}}",
+ )
+ )
+ if result is None or result.returncode != 0:
+ return None
+ raw = result.stdout.strip().split("/")[0]
+ try:
+ return int(raw)
+ except ValueError:
+ return None
+
+
+# ------------------------------------------------------------------------------------------------
+# The pod
+# ------------------------------------------------------------------------------------------------
+
+
+@dataclass(frozen=True)
+class PodPlan:
+ """Everything needed to create one factory pod."""
+
+ name: str
+ namespace: str
+ image: str
+ project_dir: str
+ env: dict[str, str]
+ labels: dict[str, str]
+ run_command: str
+ factory_command: str = ""
+ storage_class: str | None = None
+ secret_name: str = SECRET_NAME
+ division: bool = False
+ fs_group: int | None = None
+ sidecar_image: str = ""
+ adc: bool = False
+ """Whether the Secret carries a Google credential file that has to be mounted as one."""
+ warnings: tuple[str, ...] = field(default=())
+
+
+def loader_command(run_name: str) -> str:
+ """The initContainer's script: wait for the host to unpack, then get out of the way.
+
+ Bounded rather than infinite. A host that dies mid-upload otherwise leaves a pod sitting in
+ `Init` forever, which reads as a scheduling problem rather than as an upload that never
+ finished.
+ """
+ marker = unpack_marker(run_name)
+ return (
+ f'echo "waiting for the workspace upload (timeout {LOADER_TIMEOUT_SECONDS}s)"; '
+ f"waited=0; "
+ f'while [ ! -f "{marker}" ]; do '
+ f" sleep 2; waited=$((waited+2)); "
+ f' if [ "$waited" -ge {LOADER_TIMEOUT_SECONDS} ]; then '
+ f' echo "the workspace was never uploaded; the host did not finish streaming it" >&2; '
+ f" exit 1; "
+ f" fi; "
+ f"done; "
+ f'echo "workspace present"'
+ )
+
+
+def sidecar_command() -> str:
+ """The sidecar's loop: watch the shared volume for a request, start a Build, write the result.
+
+ Lives here, beside `loader_command` and the manifest that embeds it, for the same reason: it is
+ a container's `command:` in this pod spec. Holding it in `k8s_division` — which is the *client*
+ side, the file drop the agent talks to — made this module import that one while that one already
+ imports this, and the cycle only survived by deferring the import into a function body.
+
+ Deliberately dumb. It never evaluates anything from the request beyond a Containerfile path and
+ a tag, because the agent writes those files and the sidecar is the thing holding the credentials
+ the agent must not have. `oc start-build --from-dir` is what carries the context — a binary
+ source build, so there is no ConfigMap size ceiling and no fresh host-side upload per iteration.
+
+ Parsed with `sed` rather than `jq`: the sidecar image is an `oc` image, not the factory runtime,
+ and it carries neither jq nor python. Depending on a tool the image happens not to have fails at
+ the first build with `command not found`, which reads as a broken division rather than as a
+ missing package.
+
+ **The verdict comes from the Build's own phase, never from an exit code.** `oc start-build
+ --follow` exits 0 for a build that failed, so trusting it reports a build that produced no
+ image as succeeding — and the agent then validates something that does not exist. The build is
+ started, its logs are followed for the transcript, and then `.status.phase` is read and required
+ to be `Complete`.
+
+ **The Containerfile path is set on the BuildConfig, not passed as a build argument.** Binary
+ builds reject build args outright (`oc` warns and ignores them), so `--build-arg DOCKERFILE=`
+ silently did nothing and the build looked for a file named `Dockerfile` that was not there.
+ `dockerfilePath` is the field that actually selects it, and it is patched per request because
+ the agent may name a different file on the next iteration.
+ """
+ ns = '"$FACTORY_BUILD_NAMESPACE"'
+ return (
+ f'mkdir -p "{REQUEST_DIR}" "{RESULT_DIR}"; '
+ f'echo "build sidecar ready"; '
+ f"while true; do "
+ f' for request in "{REQUEST_DIR}"/*.json; do '
+ f' [ -e "$request" ] || continue; '
+ f' name=$(basename "$request" .json); '
+ f' dockerfile=$(sed -n \'s/.*"dockerfile"[[:space:]]*:[[:space:]]*"\\([^"]*\\)".*/\\1/p\' "$request"); '
+ f' tag=$(sed -n \'s/.*"tag"[[:space:]]*:[[:space:]]*"\\([^"]*\\)".*/\\1/p\' "$request"); '
+ f' rm -f "$request"; '
+ f' log="{RESULT_DIR}/$name.log"; '
+ f' echo "building $tag from $dockerfile" > "$log"; '
+ f' oc new-build --name "$tag" --binary --strategy docker '
+ f' --to "$tag:latest" -n {ns} >> "$log" 2>&1 || true; '
+ # dockerfilePath is relative to the build context, and the context is the project directory
+ # — which is what the agent means by "my Containerfile", and what makes a relative COPY in
+ # that file resolve the way it does on a laptop.
+ f' oc patch bc/"$tag" -n {ns} --type=json '
+ f' -p "[{{\\"op\\":\\"add\\",\\"path\\":\\"/spec/strategy/dockerStrategy/dockerfilePath\\",'
+ f'\\"value\\":\\"$dockerfile\\"}}]" >> "$log" 2>&1 || true; '
+ f' build=$(oc start-build "$tag" --from-dir "$FACTORY_BUILD_CONTEXT" '
+ f' -n {ns} -o=name 2>>"$log"); '
+ f' if [ -z "$build" ]; then echo 1 > "{RESULT_DIR}/$name.status"; continue; fi; '
+ f' echo "started $build" >> "$log"; '
+ f' oc logs -f "$build" -n {ns} >> "$log" 2>&1 || true; '
+ # The log stream ends before the controller finalizes the Build, so reading the phase right
+ # here catches it mid-flight — every successful build reported "Running", and a strict
+ # Complete check would have called all of them failures. Poll until the phase is terminal.
+ f" waited=0; "
+ f' while [ "$waited" -lt {PHASE_TIMEOUT_SECONDS} ]; do '
+ f' phase=$(oc get "$build" -n {ns} -o jsonpath="{{.status.phase}}" 2>>"$log"); '
+ f' case "$phase" in New|Pending|Running|"") sleep 2; waited=$((waited+2));; '
+ f" *) break;; esac; "
+ f" done; "
+ f' echo "build phase: $phase" >> "$log"; '
+ f' if [ "$phase" = "Complete" ]; then echo 0 > "{RESULT_DIR}/$name.status"; '
+ f' else echo 1 > "{RESULT_DIR}/$name.status"; fi; '
+ f" done; "
+ f" sleep 2; "
+ f"done"
+ )
+
+
+def unpack_command(run_name: str) -> str:
+ """What the host runs *inside* the loader, with the tarball on stdin.
+
+ The marker is written by the same command that unpacks, and only on success, so a partial
+ transfer leaves the loader waiting rather than starting the factory on half a tree.
+ """
+ return f'tar xzf - -C "{WORKSPACE_ROOT}" && touch "{unpack_marker(run_name)}"'
+
+
+def render_pod(plan: PodPlan) -> str:
+ """The pod manifest, as YAML.
+
+ Written out rather than templated from a library so it can be read as the thing that is applied.
+ Everything here is restricted-SCC-compatible: non-root, no privilege escalation, all
+ capabilities dropped, the default seccomp profile. The runtime image is built for arbitrary
+ UIDs, so no `runAsUser` is pinned — the namespace picks one.
+ """
+ labels = "\n".join(
+ f" {key}: {_yaml_scalar(value)}" for key, value in sorted(plan.labels.items())
+ )
+ env = "\n".join(
+ f" - name: {key}\n value: {_yaml_scalar(value)}"
+ for key, value in sorted(plan.env.items())
+ )
+ sidecar = _render_sidecar(plan) if plan.division else ""
+ # Omitted rather than guessed when the cluster does not publish a range: an fsGroup outside an
+ # SCC's `MustRunAs` range fails admission, which is worse than the default the cluster picks.
+ fs_group = f"\n fsGroup: {plan.fs_group}" if plan.fs_group is not None else ""
+ # The whole Secret, not selected `items`: a volume that names a key the Secret does not have
+ # leaves the pod Pending on "couldn't find key", and `optional` covers a missing *Secret*, not a
+ # missing key. Mounting all of it means the file is simply absent when the key is, which is a
+ # condition the auth library reports plainly.
+ credentials_volume = (
+ f"""
+ - name: credentials
+ secret:
+ secretName: {plan.secret_name}
+ defaultMode: 0400"""
+ if plan.adc
+ else ""
+ )
+ credentials_mount = (
+ f"""
+ - name: credentials
+ mountPath: {CREDENTIALS_MOUNT}
+ readOnly: true"""
+ if plan.adc
+ else ""
+ )
+ return f"""\
+apiVersion: v1
+kind: Pod
+metadata:
+ name: {plan.name}
+ namespace: {plan.namespace}
+ labels:
+{labels}
+spec:
+ restartPolicy: Never
+ serviceAccountName: {SERVICE_ACCOUNT}
+ securityContext:
+ runAsNonRoot: true{fs_group}
+ seccompProfile:
+ type: RuntimeDefault
+ volumes:
+ - name: workspace
+ persistentVolumeClaim:
+ claimName: {PVC_NAME}{credentials_volume}
+ initContainers:
+ - name: {LOADER_CONTAINER}
+ image: {plan.image}
+ command: ["sh", "-c", {_yaml_scalar(loader_command(plan.name))}]
+ volumeMounts:
+ - name: workspace
+ mountPath: {WORKSPACE_ROOT}
+ securityContext:
+ allowPrivilegeEscalation: false
+ capabilities:
+ drop: ["ALL"]
+ containers:
+ - name: {FACTORY_CONTAINER}
+ image: {plan.image}
+ workingDir: {plan.project_dir}
+ # `sleep infinity` for the same reason the local target uses it: the factory is not a
+ # well-behaved init, the run itself lives in tmux, and the pod has to outlast the run so a
+ # failure is still readable.
+ command: ["sh", "-lc", "sleep infinity"]
+ env:
+{env}
+ envFrom:
+ - secretRef:
+ name: {plan.secret_name}
+ optional: false
+ volumeMounts:
+ - name: workspace
+ mountPath: {WORKSPACE_ROOT}{credentials_mount}
+ securityContext:
+ allowPrivilegeEscalation: false
+ capabilities:
+ drop: ["ALL"]
+{sidecar}"""
+
+
+def _render_sidecar(plan: PodPlan) -> str:
+ """The build sidecar — a separate container, never a process beside the agent.
+
+ It is the only holder of a shell path to the cluster: it carries `oc` and the ServiceAccount
+ token, and the agent's container carries neither. That separation is only a boundary because the
+ Role excludes `pods/exec`; with that verb the agent execs into here and recovers the shell.
+ """
+ return f"""\
+ - name: {SIDECAR_CONTAINER}
+ image: {plan.sidecar_image or resolve_sidecar_image()}
+ command: ["sh", "-lc", {_yaml_scalar(sidecar_command())}]
+ env:
+ - name: FACTORY_BUILD_NAMESPACE
+ value: {_yaml_scalar(plan.namespace)}
+ - name: FACTORY_RUN_NAME
+ value: {_yaml_scalar(plan.name)}
+ # The build context is the *project* directory, not the workspace root, so a relative COPY
+ # in the agent's Containerfile resolves the way it does on a laptop.
+ - name: FACTORY_BUILD_CONTEXT
+ value: {_yaml_scalar(plan.project_dir)}
+ volumeMounts:
+ - name: workspace
+ mountPath: {WORKSPACE_ROOT}
+ securityContext:
+ allowPrivilegeEscalation: false
+ capabilities:
+ drop: ["ALL"]
+"""
+
+
+def _yaml_scalar(value: str) -> str:
+ """Quote a scalar for YAML without pulling in a serializer for six fields."""
+ escaped = value.replace("\\", "\\\\").replace('"', '\\"').replace("\n", "\\n")
+ return f'"{escaped}"'
+
+
+def render_pvc(namespace: str, storage_class: str | None, size: str = "10Gi") -> str:
+ """The workspace claim. RWO: one pod mounts it, and it survives that pod."""
+ storage_class_line = f" storageClassName: {storage_class}\n" if storage_class else ""
+ return f"""\
+apiVersion: v1
+kind: PersistentVolumeClaim
+metadata:
+ name: {PVC_NAME}
+ namespace: {namespace}
+ labels:
+ {LABEL_CONTAINED}: "true"
+spec:
+ accessModes:
+ - ReadWriteOnce
+{storage_class_line}\
+ resources:
+ requests:
+ storage: {size}
+"""
+
+
+# ------------------------------------------------------------------------------------------------
+# Applying and waiting
+# ------------------------------------------------------------------------------------------------
+
+
+def apply_manifest(manifest: str, namespace: str) -> None:
+ """Apply YAML with the *user's* own credentials, never a token the factory holds."""
+ try:
+ result = subprocess.run(
+ build_apply_argv(namespace), input=manifest, capture_output=True, text=True, timeout=120
+ )
+ except (FileNotFoundError, subprocess.TimeoutExpired) as exc:
+ raise ClusterError(f"applying the manifest failed: {exc}") from exc
+ if result.returncode != 0:
+ raise ClusterError(f"applying the manifest failed: {result.stderr.strip()}")
+ log.debug("k8s_applied", namespace=namespace, output=result.stdout.strip()[:200])
+
+
+def wait_for_container(name: str, namespace: str, container: str, *, timeout: int = 300) -> str:
+ """Block until `container` is running or has finished. Returns `"running"` or `"terminated"`.
+
+ Both are answers, and conflating them hangs: an initContainer that already did its work on an
+ earlier pod for this run terminates before the host ever looks, and a wait that only accepts
+ "running" then times out against a container that succeeded.
+
+ Polled rather than `oc wait`ed: the condition here is per-container ("the loader is up"), and
+ `oc wait --for=condition=Ready` is per-pod and is never satisfied while an initContainer is
+ still running — which is precisely the window the upload needs.
+ """
+ import time
+
+ deadline = time.monotonic() + timeout
+ last = ""
+ while time.monotonic() < deadline:
+ result = _run(cli(cli_binary(), "get", "pod", name, "-n", namespace, "-o", "json"))
+ if result is not None and result.returncode == 0:
+ try:
+ pod = json.loads(result.stdout or "{}")
+ except json.JSONDecodeError:
+ pod = {}
+ statuses = pod.get("status", {}).get("initContainerStatuses", []) + pod.get(
+ "status", {}
+ ).get("containerStatuses", [])
+ for status in statuses:
+ if status.get("name") != container:
+ continue
+ state = status.get("state", {})
+ if "running" in state:
+ return "running"
+ terminated = state.get("terminated")
+ if isinstance(terminated, dict):
+ if terminated.get("exitCode") == 0:
+ return "terminated"
+ raise ClusterError(
+ f"container {container} in pod {name} exited "
+ f"{terminated.get('exitCode')} ({terminated.get('reason')}). "
+ f"`{cli_binary()} logs {name} -c {container} -n {namespace}` has why."
+ )
+ last = json.dumps(state)[:200]
+ phase = pod.get("status", {}).get("phase", "")
+ if phase in ("Failed", "Succeeded") and not last:
+ raise ClusterError(
+ f"pod {name} reached {phase} before {container} ran. "
+ f"`{cli_binary()} describe pod {name} -n {namespace}` has the reason."
+ )
+ time.sleep(2)
+ raise ClusterError(
+ f"timed out after {timeout}s waiting for container {container} in pod {name} to run"
+ + (f" (last state: {last})" if last else "")
+ + f". `{cli_binary()} describe pod {name} -n {namespace}` has the reason — an unschedulable "
+ "pod and an unpullable image both look like this from here."
+ )
+
+
+def stream_workspace(tarball: Path, name: str, namespace: str) -> None:
+ """Stream the packed workspace into the loader, which unpacks it and exits.
+
+ One exec, one tarball — the whole reason this is not `oc cp` of a directory.
+ """
+ argv = build_pod_exec_argv(
+ name, namespace, ["sh", "-c", unpack_command(name)], container=LOADER_CONTAINER
+ )
+ log.debug("k8s_streaming_workspace", pod=name, bytes=tarball.stat().st_size)
+ with tarball.open("rb") as handle:
+ result = subprocess.run(argv, stdin=handle, capture_output=True, text=True, timeout=1800)
+ if result.returncode != 0:
+ raise ClusterError(
+ f"streaming the workspace into {name} failed: {result.stderr.strip()}. The loader is "
+ f"still waiting, so retrying is safe once the cause is fixed."
+ )
+
+
+def fetch_workspace(name: str, namespace: str, destination: Path) -> None:
+ """Stream a tarball back the same way it went in."""
+ argv = build_pod_exec_argv(
+ name,
+ namespace,
+ ["sh", "-c", f'cd "{WORKSPACE_ROOT}" && tar czf - .'],
+ )
+ with destination.open("wb") as handle:
+ result = subprocess.run(argv, stdout=handle, stderr=subprocess.PIPE, timeout=1800)
+ if result.returncode != 0:
+ raise ClusterError(
+ f"fetching the workspace from {name} failed: {result.stderr.decode().strip()}"
+ )
+
+
+# ------------------------------------------------------------------------------------------------
+# Lifecycle, over pods the factory created and only those
+# ------------------------------------------------------------------------------------------------
+
+
+def _summarize(stderr: str) -> str:
+ """The last meaningful line of a CLI's error output, trimmed to something readable."""
+ lines = [
+ line.strip()
+ for line in (stderr or "").splitlines()
+ if line.strip() and not line.startswith("E0") and "Unhandled Error" not in line
+ ]
+ if not lines:
+ return "no details given"
+ return lines[-1].removeprefix("error: ")[:160]
+
+
+def cluster_runtimes(namespace: str | None = None) -> list[Runtime]:
+ """Factory-created pods in the namespace, as `runtimes.Runtime` records."""
+ try:
+ target = resolve_namespace(namespace)
+ except ClusterError as exc:
+ raise LifecycleError(str(exc)) from exc
+ result = _run(build_get_pods_argv(target), timeout=LIST_TIMEOUT_SECONDS + 5)
+ if result is None:
+ raise LifecycleError(f"the cluster did not answer within {LIST_TIMEOUT_SECONDS}s")
+ if result.returncode != 0:
+ # kubectl prints a paragraph of retry noise for one expired token. A user running `ls` for
+ # their local containers wants one line about it, not six.
+ raise LifecycleError(f"cannot reach the cluster ({_summarize(result.stderr)})")
+ try:
+ payload = json.loads(result.stdout or "{}")
+ except json.JSONDecodeError as exc:
+ raise LifecycleError("listing pods returned output that isn't JSON") from exc
+
+ from datetime import datetime
+
+ runtimes = []
+ for item in payload.get("items", []):
+ metadata = item.get("metadata", {})
+ labels = metadata.get("labels", {})
+ created = None
+ stamp = metadata.get("creationTimestamp")
+ if isinstance(stamp, str) and stamp:
+ try:
+ created = datetime.fromisoformat(stamp.replace("Z", "+00:00"))
+ except ValueError:
+ created = None
+ runtimes.append(
+ Runtime(
+ name=metadata.get("name", ""),
+ target="k8s",
+ project=str(labels.get(LABEL_PROJECT, "")),
+ state=str(item.get("status", {}).get("phase", "unknown")),
+ created=created,
+ )
+ )
+ return runtimes
+
+
+def remove_cluster_runtime(
+ name: str, *, namespace: str | None = None, assume_yes: bool = False
+) -> int:
+ """Delete the pod. The PVC is left alone unless the user asks — it holds the work.
+
+ A PVC deleted with the pod takes the run's output with it, and the only copy of a multi-hour
+ run's work is exactly the thing not to remove on a user's behalf.
+ """
+ target = resolve_namespace(namespace)
+ # Sweep whatever the run labelled as its own first, so a failed pod delete does not leave them
+ # orphaned with nothing pointing at them. Only the division creates any — validation
+ # pods — but the sweep belongs here rather than there: "delete what this run labelled" is a
+ # lifecycle concern, and a sweep that only exists when a feature is installed is a sweep that
+ # silently stops happening.
+ swept = _run(sweep_argv(target, name))
+ # `oc delete --ignore-not-found` reports "No resources found" on stdout when it matched nothing,
+ # so a bare non-empty check prints "swept No resources found" — which reads as if something was
+ # swept. Only a line that actually says `deleted` is one.
+ if swept is not None and swept.returncode == 0:
+ deleted = [line for line in swept.stdout.splitlines() if "deleted" in line]
+ if deleted:
+ print(f"{name}: swept {len(deleted)} pod(s) the run created")
+
+ result = _run(build_delete_pod_argv(name, target))
+ if result is None or result.returncode != 0:
+ detail = result.stderr.strip() if result else "the CLI could not be run"
+ print(f"contained: deleting pod {name} failed: {detail}", file=sys.stderr)
+ return 1
+ print(f"{name}: pod deleted.")
+ print(
+ f" The workspace is still on PVC {PVC_NAME} in {target}. Fetch it with "
+ f"`factory contained --target k8s sync {name}` before deleting the claim."
+ )
+ return 0
+
+
+def sweep_argv(namespace: str, run_name: str) -> list[str]:
+ """Delete everything a run labelled as its own.
+
+ Selected by the run's own label, so a sweep can never reach a pod the run did not create. The
+ ImageStream is deliberately not swept: it retains its tags, which is the point of having built
+ them.
+ """
+ return [
+ cli_binary(),
+ "delete",
+ "pods",
+ "-n",
+ namespace,
+ "-l",
+ f"{LABEL_RUN}={run_name}",
+ "--ignore-not-found",
+ ]
+
+
+def sync_cluster_runtime(name: str, *, namespace: str | None = None) -> int:
+ """Stream the workspace back to the host and report where it landed."""
+ from factory.contained.workspace import contained_home
+
+ target = resolve_namespace(namespace)
+ destination = contained_home() / name / "workspace.tar.gz"
+ destination.parent.mkdir(parents=True, exist_ok=True)
+ try:
+ fetch_workspace(name, target, destination)
+ except ClusterError as exc:
+ print(f"contained: {exc}", file=sys.stderr)
+ return 1
+ print(f"{name}: workspace fetched to {destination}.")
+ print(
+ " Review: tar tzf "
+ f"{destination}\n"
+ f" Unpack: mkdir -p <dir> && tar xzf {destination} -C <dir>\n"
+ "Nothing is merged automatically."
+ )
+ return 0
diff --git a/factory/contained/k8s_division.py b/factory/contained/k8s_division.py
new file mode 100644
index 000000000..f05bdd95f
--- /dev/null
+++ b/factory/contained/k8s_division.py
@@ -0,0 +1,296 @@
+"""The cluster container-manufacturing plane — `--target k8s --division`.
+
+OpenShift only, detected by **API presence** rather than by the `oc` binary: a cluster is not
+OpenShift because someone installed a CLI, and the refusal has to name the reason at launch rather
+than after a Build that will never be admitted.
+
+**Builds go through OpenShift `Build` objects.** The platform's build controller holds the
+privileges OpenShift reserves for building. Rootless buildah, kaniko and buildkit all depend on the
+`uid_map` write these nodes deny — probed to the bottom, and not a manifest problem. Output goes to
+the cluster-internal registry; the validation pod pulls from
+`image-registry.openshift-image-registry.svc:5000` and push credentials stay with the build service
+account.
+
+**The agent reaches the cluster only through MCP.** `kubernetes-mcp-server` runs inside the pod over
+stdio, and `oc` is not in the image — which is what makes the tool allowlist a boundary rather than
+a decoration. Unlike the local division, this boundary is enforced by RBAC and by the absence of any
+shell path to the cluster, rather than by a filter the agent's own process could bypass.
+
+**The build context reaches the Build through a sidecar.** A ConfigMap-carried context has a ~700KB
+ceiling that forces a wheel-only build; a sidecar sharing the PVC has none. The sidecar is a
+*separate container* — never a process beside the agent — and it is the only holder of `oc` and the
+ServiceAccount token. That separation is a boundary only while the Role excludes `pods/exec`; with
+that verb the agent execs into the sidecar and recovers the shell. `k8s_setup._no_exec_check`
+asserts its absence, and it is the one check that fails when something succeeds.
+"""
+
+from __future__ import annotations
+
+
+from factory.contained.k8s import (
+ LABEL_RUN,
+ REQUEST_DIR,
+ RESULT_DIR,
+ build_api_resources_argv,
+ sidecar_command, # noqa: F401 — re-exported
+)
+from factory.contained.k8s import sweep_argv as _sweep_argv
+
+# `REQUEST_DIR`, `RESULT_DIR` and `sidecar_command` are re-exported from `k8s`: they describe the
+# pod spec, which that module owns, and the file drop below is their other half.
+INTERNAL_REGISTRY = "image-registry.openshift-image-registry.svc:5000"
+
+MCP_CLUSTER_SERVER = "kubernetes"
+MCP_BUILD_SERVER = "factory-build"
+
+DIVISION_BRIEF_PATH = ".factory/division/README.md"
+
+DIVISION_BRIEF = """\
+# Cluster division — you can build images and validate them
+
+This run has the cluster container-manufacturing plane enabled. **These are capabilities you
+already have, not things to build.** Do not write a CLI wrapper, and do not look for `oc` — it is
+deliberately not in this image.
+
+## The tools
+
+- `mcp__{build_server}__start_build(dockerfile, tag)` — submit a build of this workspace.
+- `mcp__{cluster_server}__*` — read the cluster: list pods, read logs, create and delete the
+ validation pods you need. Namespace-scoped, and the namespace is already selected.
+
+## The loop
+
+1. **submit** — `start_build` with the Containerfile's path **relative to your project directory**
+ and a tag. Your project directory is the build context, so a relative `COPY` resolves the way it
+ would on a laptop. A sidecar container reads the context off the shared volume and starts an
+ OpenShift `Build`; you never touch the build machinery yourself.
+2. **read the result** — the call blocks until the build finishes and returns the build log plus
+ whether it succeeded. Success means the Build reached `Complete`, not merely that a command
+ exited zero.
+3. **fix** — a build that fails tells you why in that log and nowhere else. Edit the Containerfile
+ or the source and resubmit; resubmitting is cheap and is the intended way to iterate.
+4. **validate** — when the build succeeds, run a **validation pod** on the resulting image and read
+ its logs. A build that succeeds is not evidence that the image runs.
+
+## What is true about this environment
+
+- Images land in the cluster-internal registry at `{registry}`. Reference them from a validation
+ pod by their ImageStream tag; push credentials stay with the build service account and never
+ reach you.
+- You may create **validation pods only** — run a pod on an image you built, read its logs, delete
+ it. No Deployments, Services, ConfigMaps, Secrets or RBAC.
+- **Label every pod you create `{run_label}: {run_name}`.** That label is how the run sweeps up
+ after itself; a pod without it survives the run and is nobody's to clean up.
+- You cannot exec into other pods. That is deliberate, and it is what keeps the build sidecar a
+ boundary rather than a formality.
+"""
+
+
+def openshift_available(runner=None) -> bool:
+ """Whether this cluster serves the OpenShift Build API.
+
+ Detected by API presence, not by the `oc` binary: `oc` against a vanilla cluster works
+ fine for everything except the one thing the division needs.
+ """
+ import subprocess
+
+ run = runner or (lambda argv: subprocess.run(argv, capture_output=True, text=True, timeout=60))
+ try:
+ result = run(build_api_resources_argv("build.openshift.io"))
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return False
+ return result.returncode == 0 and "builds" in (result.stdout or "")
+
+
+def start_build_server_source() -> str:
+ """The one-tool stdio MCP server the factory ships, `start_build(dockerfile, tag)`.
+
+ Written to the workspace and registered alongside `kubernetes-mcp-server`. It is a *file drop*,
+ not a cluster client: it writes a request onto the shared volume and polls for the sidecar's
+ result. That is the whole interface — the agent can ask for a build and read what happened, and
+ has no route to the cluster credentials that perform it.
+
+ stdlib only, and no imports from the factory package: it runs as its own process inside the
+ runtime image, and a dependency on the installed factory would make the division's tool surface
+ fail whenever the wheel moved.
+ """
+ return f'''\
+#!/usr/bin/env python3
+"""start_build — a one-tool stdio MCP server.
+
+Writes a build request onto the volume the build sidecar watches, then polls for its result. It
+holds no credentials and speaks to no cluster: the sidecar is the only thing that does.
+"""
+from __future__ import annotations
+
+import json
+import os
+import sys
+import time
+import uuid
+
+REQUEST_DIR = {REQUEST_DIR!r}
+RESULT_DIR = {RESULT_DIR!r}
+TIMEOUT = 1800
+
+TOOL = {{
+ "name": "start_build",
+ "description": (
+ "Build a container image from this workspace using the cluster's build plane. "
+ "Returns the build log and whether it succeeded. Iterate by fixing the Containerfile "
+ "and calling this again."
+ ),
+ "inputSchema": {{
+ "type": "object",
+ "properties": {{
+ "dockerfile": {{
+ "type": "string",
+ "description": "Path to the Containerfile, relative to the project directory you are working in",
+ }},
+ "tag": {{
+ "type": "string",
+ "description": "Image tag to build, e.g. 'my-app'",
+ }},
+ }},
+ "required": ["dockerfile", "tag"],
+ }},
+}}
+
+
+def start_build(dockerfile: str, tag: str) -> str:
+ os.makedirs(REQUEST_DIR, exist_ok=True)
+ os.makedirs(RESULT_DIR, exist_ok=True)
+ name = uuid.uuid4().hex[:12]
+ with open(os.path.join(REQUEST_DIR, name + ".json"), "w") as handle:
+ json.dump({{"dockerfile": dockerfile, "tag": tag}}, handle)
+
+ status_path = os.path.join(RESULT_DIR, name + ".status")
+ log_path = os.path.join(RESULT_DIR, name + ".log")
+ deadline = time.time() + TIMEOUT
+ while time.time() < deadline:
+ if os.path.exists(status_path):
+ with open(status_path) as handle:
+ status = handle.read().strip()
+ log = ""
+ if os.path.exists(log_path):
+ with open(log_path, errors="replace") as handle:
+ log = handle.read()
+ verdict = "succeeded" if status == "0" else "FAILED (exit " + status + ")"
+ return "Build " + verdict + "\\n\\n" + log[-20000:]
+ time.sleep(2)
+ return (
+ "Timed out after " + str(TIMEOUT) + "s waiting for the build sidecar. It may not be "
+ "running: check the pod's build-sidecar container."
+ )
+
+
+def respond(message):
+ sys.stdout.write(json.dumps(message) + "\\n")
+ sys.stdout.flush()
+
+
+def main() -> None:
+ for line in sys.stdin:
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ request = json.loads(line)
+ except json.JSONDecodeError:
+ continue
+ method = request.get("method")
+ request_id = request.get("id")
+ if method == "initialize":
+ respond({{
+ "jsonrpc": "2.0",
+ "id": request_id,
+ "result": {{
+ "protocolVersion": "2025-06-18",
+ "capabilities": {{"tools": {{}}}},
+ "serverInfo": {{"name": "factory-build", "version": "1"}},
+ }},
+ }})
+ elif method == "tools/list":
+ respond({{"jsonrpc": "2.0", "id": request_id, "result": {{"tools": [TOOL]}}}})
+ elif method == "tools/call":
+ params = request.get("params", {{}})
+ arguments = params.get("arguments", {{}})
+ try:
+ text = start_build(arguments["dockerfile"], arguments["tag"])
+ except Exception as exc: # noqa: BLE001 - reported to the caller
+ respond({{
+ "jsonrpc": "2.0",
+ "id": request_id,
+ "result": {{
+ "content": [{{"type": "text", "text": "start_build failed: " + str(exc)}}],
+ "isError": True,
+ }},
+ }})
+ continue
+ respond({{
+ "jsonrpc": "2.0",
+ "id": request_id,
+ "result": {{"content": [{{"type": "text", "text": text}}]}},
+ }})
+ elif request_id is not None:
+ respond({{
+ "jsonrpc": "2.0",
+ "id": request_id,
+ "error": {{"code": -32601, "message": "method not found: " + str(method)}},
+ }})
+
+
+if __name__ == "__main__":
+ main()
+'''
+
+
+SERVER_PATH = ".factory/division/start_build_server.py"
+
+
+def mcp_config(namespace: str) -> dict[str, object]:
+ """Register both servers for the agent inside the pod.
+
+ `kubernetes-mcp-server` is given the namespace and an explicit in-cluster credential source, so
+ it never auto-detects a provider that wants an interactive login — an agent that silently sits
+ in a needs-auth state looks identical to one whose tools are broken.
+ """
+ return {
+ "mcpServers": {
+ MCP_CLUSTER_SERVER: {
+ "command": "npx",
+ "args": [
+ "-y",
+ "kubernetes-mcp-server@latest",
+ "--namespace",
+ namespace,
+ "--disable-destructive",
+ ],
+ "env": {"KUBECONFIG": ""},
+ },
+ MCP_BUILD_SERVER: {
+ "command": "python3",
+ "args": [SERVER_PATH],
+ },
+ }
+ }
+
+
+def division_files(namespace: str, run_name: str) -> dict[str, str]:
+ """The files the pod writes next to the project before the factory starts."""
+ return {
+ SERVER_PATH: start_build_server_source(),
+ DIVISION_BRIEF_PATH: DIVISION_BRIEF.format(
+ build_server=MCP_BUILD_SERVER,
+ cluster_server=MCP_CLUSTER_SERVER,
+ registry=INTERNAL_REGISTRY,
+ run_label=LABEL_RUN,
+ run_name=run_name,
+ ),
+ }
+
+
+# Re-exported so the division's own tests and brief refer to one sweep, not two. The implementation
+# lives in `k8s.py` because "delete what this run labelled" is a lifecycle concern that must keep
+# happening whether or not a division was ever enabled.
+sweep_argv = _sweep_argv
diff --git a/factory/contained/k8s_review.py b/factory/contained/k8s_review.py
new file mode 100644
index 000000000..b346659ec
--- /dev/null
+++ b/factory/contained/k8s_review.py
@@ -0,0 +1,348 @@
+"""Walking the bundle object by object, against what the namespace already has.
+
+Printing the whole bundle and asking "apply them?" asks the wrong question. Most of those objects
+usually already exist, and the user cannot tell which — so the choice on offer is between "yes" and
+"no" to a wall of YAML whose relationship to their cluster is unknown. What they actually need to
+decide is, for each object that is *not* already right: what is this for, what would change, and do
+I want it in my namespace.
+
+So this establishes the current state first, then walks only the difference. Three states matter
+and they are genuinely different decisions:
+
+- **absent** — it would be created. The manifest is the whole story.
+- **differs** — it exists and does not match. The *diff* is the story; the manifest is noise.
+- **current** — nothing to decide. Reported once in the summary and never asked about, because a
+ prompt whose only sane answer is "yes" trains people to stop reading prompts.
+
+`oc diff` does the comparison server-side, which is the only way to get this right: it applies the
+same merge the real apply would, so a field the cluster defaults in does not read as a change the
+user is about to make.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from collections.abc import Callable
+from dataclasses import dataclass, field
+
+import structlog
+
+from factory.contained import style
+from factory.contained.bundle import BundleObject
+from factory.contained.k8s import cli
+
+log = structlog.get_logger()
+
+ABSENT = "absent"
+DIFFERS = "differs"
+CURRENT = "current"
+UNKNOWN = "unknown"
+
+# Long enough to show a real RBAC change, short enough that the question stays on screen with it.
+_DIFF_LINES = 40
+
+
+@dataclass(frozen=True)
+class ObjectState:
+ """One bundle object and how it compares to what the namespace already has."""
+
+ obj: BundleObject
+ status: str
+ diff: str = ""
+ detail: str = ""
+
+ @property
+ def needs_action(self) -> bool:
+ return self.status != CURRENT
+
+
+def _run(argv: list[str], *, stdin: str | None = None,
+ timeout: int = 60) -> subprocess.CompletedProcess[str] | None:
+ try:
+ return subprocess.run(
+ argv, input=stdin, capture_output=True, text=True, timeout=timeout, check=False
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+
+
+def inspect_objects(
+ objects: list[BundleObject], namespace: str, binary: str
+) -> list[ObjectState]:
+ """Compare each object against the cluster. Never raises; an unreadable object is `unknown`."""
+ return [_inspect_one(obj, namespace, binary) for obj in objects]
+
+
+def _inspect_one(obj: BundleObject, namespace: str, binary: str) -> ObjectState:
+ present = _run(cli(binary, "get", obj.kind, obj.name, "-n", namespace, "-o", "name"),
+ timeout=30)
+ if present is None:
+ return ObjectState(obj, UNKNOWN, detail=f"could not reach the cluster to check {obj.ref}")
+ if present.returncode != 0:
+ return ObjectState(obj, ABSENT, detail="not in this namespace — it would be created")
+
+ # `diff` exits 0 for no change and 1 for a change; anything higher is a real error, and so is 1
+ # with nothing on stdout (some builds report a failure that way).
+ diffed = _run(cli(binary, "diff", "-n", namespace, "-f", "-"),
+ stdin=obj.manifest, timeout=60)
+ if diffed is None:
+ return ObjectState(obj, UNKNOWN, detail=f"could not diff {obj.ref} against the cluster")
+ if diffed.returncode == 0:
+ return ObjectState(obj, CURRENT, detail="already present and matches what the factory needs")
+ if diffed.returncode == 1 and diffed.stdout.strip():
+ return ObjectState(obj, DIFFERS, diff=diffed.stdout,
+ detail="present, but not what the factory needs")
+ reason = (diffed.stderr or "").strip().splitlines()
+ return ObjectState(
+ obj, UNKNOWN,
+ detail=(
+ f"present, but could not be compared ({reason[0][:120]})" if reason
+ else "present, but could not be compared"
+ ),
+ )
+
+
+_MARKS = {
+ CURRENT: ("ok ", "green"),
+ ABSENT: ("new ", "cyan"),
+ DIFFERS: ("diff", "yellow"),
+ UNKNOWN: ("? ", "yellow"),
+}
+
+
+def _mark(status: str) -> str:
+ text, colour = _MARKS.get(status, ("? ", "yellow"))
+ return style.paint(f"[{text.strip():^4}]", colour)
+
+
+def render_summary(states: list[ObjectState], namespace: str, server: str | None = None) -> str:
+ """The whole picture in one block, before any question is asked.
+
+ Deliberately covers *every* object including the ones already correct: "4 of 5 are already
+ there" is the single most useful fact for someone deciding whether this tool is about to do
+ something drastic to their namespace, and it is invisible if the correct ones are filtered out.
+
+ The server belongs here rather than only on the last prompt, because with a per-object walk
+ there is no single irreversible moment left to attach it to — the first `y` is already one.
+ """
+ width = max((len(s.obj.ref) for s in states), default=0)
+ target = f"namespace {style.value(namespace)}"
+ if server:
+ target = f"{target} on {style.value(server)}"
+ lines = [
+ style.line(f"Comparing {len(states)} object(s) against {target}:"),
+ "",
+ ]
+ lines += [f" {_mark(s.status)} {s.obj.ref.ljust(width)} {style.dim(s.detail)}"
+ for s in states]
+ pending = [s for s in states if s.needs_action]
+ lines.append("")
+ if not pending:
+ lines.append(style.line(style.paint(
+ "Everything the factory needs is already in place. Nothing to apply.", "green"
+ )))
+ else:
+ already = len(states) - len(pending)
+ settled = f"{already} already correct and will be skipped; " if already else ""
+ lines.append(style.line(f"{settled}{style.bold(str(len(pending)))} need(s) your decision."))
+ return "\n".join(lines)
+
+
+def _trim(diff: str) -> str:
+ lines = diff.splitlines()
+ if len(lines) <= _DIFF_LINES:
+ return diff.rstrip()
+ remaining = len(lines) - _DIFF_LINES
+ return "\n".join(lines[:_DIFF_LINES] + [f"... ({remaining} more line(s))"])
+
+
+@dataclass
+class WalkResult:
+ """What the walk actually did — not what it intended to do.
+
+ `applied` is the honest record and the reason this is not a plan: each object is applied the
+ moment it is accepted, so stopping halfway leaves the cluster genuinely changed. Reporting
+ "nothing was applied" after the user has already said yes twice is the failure this replaces.
+ """
+
+ applied: list[BundleObject] = field(default_factory=list)
+ skipped: list[BundleObject] = field(default_factory=list)
+ failed: list[tuple[BundleObject, str]] = field(default_factory=list)
+ aborted: bool = False
+
+ @property
+ def changed_anything(self) -> bool:
+ return bool(self.applied)
+
+
+def walk(
+ states: list[ObjectState],
+ namespace: str,
+ binary: str,
+ *,
+ interactive: bool,
+ assume_yes: bool,
+ apply: Callable[[BundleObject], tuple[bool, str]],
+) -> WalkResult:
+ """Walk each object that needs a decision, applying each one as it is accepted.
+
+ Applying at the moment of consent rather than batching at the end is what makes the feedback
+ immediate — you see `role/factory-runtime configured` before deciding the next one — and what
+ makes stopping honest: whatever is already applied stays applied, and the summary says so.
+ """
+ result = WalkResult()
+ pending = [s for s in states if s.needs_action]
+ if not pending:
+ return result
+
+ total = len(pending)
+ accept_rest = assume_yes or not interactive
+ for index, state in enumerate(pending, start=1):
+ if not accept_rest:
+ print(_render_item(state, index, total, namespace))
+ answer = _ask(index, total)
+ if answer == "q":
+ result.aborted = True
+ break
+ if answer == "n":
+ result.skipped.append(state.obj)
+ print(style.line(style.dim(f"Skipped {state.obj.ref}.")))
+ continue
+ if answer == "a":
+ accept_rest = True
+ print(style.line(f"Applying this and the {total - index} after it."))
+ _apply_and_report(state.obj, apply, result)
+ _report_totals(result)
+ return result
+
+
+def _apply_and_report(
+ obj: BundleObject, apply: Callable[[BundleObject], tuple[bool, str]], result: WalkResult
+) -> None:
+ ok, detail = apply(obj)
+ if ok:
+ result.applied.append(obj)
+ print(style.line(style.paint(detail or f"{obj.ref} applied.", "green")))
+ return
+ # A failure does not stop the walk. The objects are independent enough that the rest may still
+ # be worth applying, and `verify` at the end reports exactly what is missing either way.
+ result.failed.append((obj, detail))
+ print(style.line(style.paint(f"{obj.ref} could not be applied: {detail}", "red")))
+
+
+def _report_totals(result: WalkResult) -> None:
+ if result.aborted:
+ print()
+ if result.changed_anything:
+ print(style.line(style.paint(
+ f"Stopped. {len(result.applied)} object(s) were applied before you stopped and "
+ "remain applied; the rest were not.", "yellow"
+ )))
+ else:
+ print(style.line(style.paint("Stopped. Nothing was applied.", "yellow")))
+ return
+ if result.skipped:
+ print()
+ print(style.line(
+ f"{len(result.applied)} applied, {len(result.skipped)} skipped. A skipped object stays "
+ "as it is, so `verify` will report it as missing or wrong."
+ ))
+
+
+def _render_item(state: ObjectState, index: int, total: int, namespace: str) -> str:
+ kind = "would be created" if state.status == ABSENT else state.detail
+ parts = [
+ style.subsection(f"{state.obj.ref} ({kind})", step=index, total=total),
+ style.note(state.obj.purpose),
+ "",
+ ]
+ if state.status == DIFFERS and state.diff.strip():
+ # The diff, not the manifest: what is on screen should be what would change, and against an
+ # existing object the manifest is mostly lines that are already true.
+ parts.append(style.line(style.dim(f"What would change in {namespace}:")))
+ parts.append(_trim(state.diff))
+ elif state.status == UNKNOWN:
+ parts.append(style.line(style.paint(
+ "This could not be compared against the cluster, so what follows is what would be "
+ "applied, not what would change.", "yellow"
+ )))
+ parts.append(state.obj.manifest.rstrip())
+ else:
+ parts.append(state.obj.manifest.rstrip())
+ return "\n".join(parts)
+
+
+# What each key does, spelled out. A bare `[y/n/a/q]` is readable only to whoever wrote it.
+_OPTIONS = (
+ ("y", "es", "y"),
+ ("n", "o", "n"),
+ ("a", "ll remaining", "a"),
+ ("q", "uit", "q"),
+)
+
+# Typed answers accepted when falling back to a line-buffered prompt.
+_WORDS = {
+ "y": "y", "yes": "y",
+ "n": "n", "no": "n", "": "n",
+ "a": "a", "all": "a",
+ "q": "q", "quit": "q", "exit": "q",
+}
+
+
+def _options_line() -> str:
+ return " ".join(style.choice(letter, rest) for letter, rest, _ in _OPTIONS)
+
+
+def _ask(index: int, total: int) -> str:
+ """One keypress per object. Anything unrecognized is treated as 'no', never as 'yes'.
+
+ Escape quits, and quitting applies nothing. That needs the key itself rather than a typed line,
+ so this reads raw where it can — which also means y/n/a/q take effect without Enter. Where it
+ cannot (a pipe, a non-POSIX terminal) it falls back to a typed line, and there Escape is
+ recognized as the *content* of the line, since that is all a line-buffered prompt ever sees.
+ """
+ question = (
+ f"{style.bold(f'Apply this? ({index} of {total})')} {_options_line()} "
+ f"{style.dim('(Enter or Esc = skip/stop)')}: "
+ )
+ while True:
+ key = style.read_key(question)
+ if key is None:
+ answer = _ask_by_line(question)
+ if answer is not None:
+ return answer
+ continue
+ if key == style.ESCAPE:
+ return "q"
+ if key in ("\r", "\n"):
+ return "n"
+ if key == "": # an arrow key or similar — not an answer
+ continue
+ resolved = _WORDS.get(key.lower())
+ if resolved is not None and key.strip():
+ return resolved
+ print(style.line(style.dim(_help_text())))
+
+
+def _ask_by_line(question: str) -> str | None:
+ """The fallback when a single keypress cannot be read. None means 'ask again'."""
+ try:
+ raw = input(question)
+ except (EOFError, OSError):
+ # The stream ended mid-walk, or there was never one. Refusing is the only safe reading.
+ print()
+ return "q"
+ if style.is_escape(raw):
+ return "q"
+ resolved = _WORDS.get(raw.strip().lower())
+ if resolved is not None:
+ return resolved
+ print(style.line(style.dim(_help_text())))
+ return None
+
+
+def _help_text() -> str:
+ return (
+ "y = apply this one, n = skip it, a = apply this and everything left, "
+ "q or Esc = stop without applying anything"
+ )
diff --git a/factory/contained/k8s_setup.py b/factory/contained/k8s_setup.py
new file mode 100644
index 000000000..d2b4765c7
--- /dev/null
+++ b/factory/contained/k8s_setup.py
@@ -0,0 +1,975 @@
+"""Cluster prerequisites: `verify` reports, `setup` fixes.
+
+**Every failed check carries its fix.** `verify` never reports a bare failure: each one names the
+exact command that resolves it — `factory contained bundle | oc apply -f -` for a missing object,
+the `oc create secret` line for a missing Secret, `oc project` for a missing context. Where the fix
+is not a single command (the cluster has no OpenShift Build API), it says what that means for the
+run rather than leaving the user to infer it.
+
+`setup` does not stop at printing the bundle. It settles the namespace — creating it if you ask —
+establishes what is already in it, then walks the objects that are missing or wrong one at a time,
+applying each **at the moment you accept it** with your own `oc` credentials, and ends in `verify`.
+
+Applying per object rather than batching at the end is what keeps the report honest: stopping
+halfway leaves the cluster genuinely changed, and the summary says how much. If a permission is
+missing, the object that failed is named and the walk carries on — `verify` then reports exactly
+what is absent, so a partial apply is never dressed up as success.
+
+The credentials Secret stays outside that flow. `setup` prints the `oc create secret` command and
+never handles the material.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import subprocess
+import sys
+from collections.abc import Callable
+
+import structlog
+
+from factory.contained import style
+from factory.contained.bundle import BundleObject, bundle_objects, render_bundle
+from factory.contained.k8s import (
+ ADC_SECRET_KEY,
+ LABEL_CONTAINED,
+ SECRET_NAME,
+ SERVICE_ACCOUNT,
+ ClusterContext,
+ ClusterError,
+ access_review,
+ build_api_resources_argv,
+ cli,
+ cli_binary,
+ active_context,
+ cluster_context,
+ current_namespace,
+ list_contexts,
+ resolve_namespace,
+ set_active_context,
+ use_context,
+)
+from factory.contained.k8s_review import inspect_objects, render_summary, walk
+from factory.contained.prereq import Check, format_check, summary_line
+from factory.contained.secrets import gitleaks_available
+from factory.podman import resolve_image
+
+log = structlog.get_logger()
+
+# The cluster half of `setup`: choose a namespace, review-and-apply object by object, verify.
+# Three rather than four because applying is no longer a step of its own — each object is applied
+# at the moment it is accepted, so there is nothing left to batch afterwards.
+_K8S_STEPS = 3
+
+# The keys a credentials Secret must carry for at least one supported backend.
+ANTHROPIC_KEYS = ("ANTHROPIC_API_KEY",)
+# The three configuration variables *and* the credential file. The credential is the point: the
+# first three only say which endpoint to talk to, so a Secret carrying just those was reported as
+# "carries the Vertex configuration" while holding nothing that could authenticate.
+VERTEX_KEYS = (
+ "CLAUDE_CODE_USE_VERTEX", "CLOUD_ML_REGION", "ANTHROPIC_VERTEX_PROJECT_ID", ADC_SECRET_KEY,
+)
+
+# The verbs the pod's ServiceAccount needs. Checked as the ServiceAccount, not as the user: a
+# namespace where *you* can create pods but the pod cannot read its own logs fails on the agent's
+# first cluster call, several steps from anything this would otherwise have reported.
+# (verb, resource, subresource, apiGroup). The subresource is a field of its own rather than a
+# "pods/log" string, because that is precisely the distinction `oc auth can-i` loses — see
+# `k8s.render_access_review`. The group is explicit for the same class of reason: omitted means the
+# *core* group, so a review for `builds` with no group asks about a core resource that does not
+# exist and comes back denied, reporting a correct division namespace as missing its permissions.
+REQUIRED_SA_VERBS = (
+ ("create", "pods", "", ""),
+ ("get", "pods", "", ""),
+ ("delete", "pods", "", ""),
+ ("get", "pods", "log", ""),
+)
+DIVISION_SA_VERBS = (
+ ("create", "builds", "", "build.openshift.io"),
+ ("get", "builds", "", "build.openshift.io"),
+ ("create", "buildconfigs", "", "build.openshift.io"),
+ ("get", "imagestreams", "", "image.openshift.io"),
+)
+
+
+def _run(argv: list[str], *, timeout: int = 60) -> subprocess.CompletedProcess[str] | None:
+ try:
+ return subprocess.run(argv, capture_output=True, text=True, timeout=timeout)
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+
+
+def verify_k8s(
+ *,
+ namespace: str | None = None,
+ division: bool = False,
+ probe_inference: bool = True,
+ on_check: Callable[[Check], None] | None = None,
+) -> list[Check]:
+ """The cluster prerequisite checks, in the order a user would fix them.
+
+ Nothing here raises: a machine with no `oc` at all must get a list of what is missing, not a
+ traceback, exactly as the local checks do.
+
+ `on_check` is called with each result the moment it is known. Some of these are slow — the
+ access reviews are a round trip each and the inference probe launches a pod and waits on it for
+ up to three minutes — so a caller that only prints at the end shows a blank screen for the
+ duration, which is indistinguishable from a hang. Passing `on_check` is how the caller streams.
+ """
+ checks: list[Check] = []
+
+ def record(*new: Check) -> None:
+ for check in new:
+ checks.append(check)
+ if on_check is not None:
+ on_check(check)
+
+ try:
+ binary = cli_binary()
+ except ClusterError as exc:
+ # Through `record` like every other result: a streaming caller prints only the summary at
+ # the end, so a check that skips this is a check the user never sees.
+ record(
+ Check(
+ name="cluster_cli",
+ ok=False,
+ detail=str(exc),
+ fix="brew install openshift-cli # or kubectl",
+ )
+ )
+ return checks
+
+ context = _context_check(binary)
+ record(context)
+ if not context.ok:
+ # Everything below needs a reachable cluster. Reporting eight further failures that all mean
+ # "no context" buries the one that matters.
+ return checks
+
+ try:
+ target = resolve_namespace(namespace)
+ except ClusterError as exc:
+ record(
+ Check(name="namespace", ok=False, detail=str(exc), fix=f"{binary} project <namespace>")
+ )
+ return checks
+
+ record(_namespace_check(binary, target))
+ record(*_object_checks(binary, target, division))
+ record(*_verb_checks(target, division))
+ secret = _secret_check(binary, target)
+ record(secret)
+ record(_image_check())
+ if probe_inference:
+ record(_inference_result(binary, target, secret, announce=on_check is not None))
+ record(_gitleaks_check())
+ if division:
+ record(*_division_checks(target))
+ return checks
+
+
+def _context_check(binary: str) -> Check:
+ """Is a cluster selected, and which one? The first check, because everything else needs it."""
+ context = _run(cli(binary, "config", "current-context"))
+ name = context.stdout.strip() if context is not None and context.returncode == 0 else ""
+ if not name:
+ return Check(
+ name="cluster_cli",
+ ok=False,
+ detail=f"{binary} is installed but no current context is selected",
+ fix=f"{binary} login ... # then `{binary} project <namespace>`",
+ )
+ # The server, not just the context name. A context called `dev` says nothing about which
+ # cluster it reaches, and this check is where a user confirms they are pointed at the right one.
+ # Read only once a context exists: with none selected there is nothing for it to report, and
+ # asking costs a second `config view` to be told so.
+ server = cluster_context().server
+ return Check(
+ name="cluster_cli",
+ ok=True,
+ detail=f"{binary}, context {name}" + (f", server {server}" if server else ""),
+ )
+
+
+def _inference_result(binary: str, namespace: str, secret: Check, *, announce: bool) -> Check:
+ """The in-cluster probe, or the reason it was not worth running."""
+ if not secret.ok:
+ # The probe pod mounts that Secret to authenticate. Without it the pod cannot succeed, and
+ # running it anyway means waiting the full 180-second timeout to be told what the check
+ # above already said — which is exactly what a freshly prepared namespace hits, because
+ # creating the Secret is the step deliberately left to the user.
+ return Check(
+ name="inference_from_cluster",
+ ok=False,
+ detail=(
+ "not attempted — the credentials Secret is missing, so a probe pod could not "
+ "authenticate. Create it, then re-run verify."
+ ),
+ fix=secret.fix,
+ )
+ if announce:
+ # Announced rather than merely slow: this one creates a pod and waits on it, and
+ # "nothing on screen for three minutes" is the report people read as a crash.
+ print(style.note(
+ "Checking inference from inside the namespace — this launches a short-lived pod "
+ "and waits for it, up to three minutes."
+ ))
+ return _inference_check(binary, namespace, resolve_image())
+
+
+def _namespace_check(binary: str, namespace: str) -> Check:
+ result = _run(cli(binary, "get", "namespace", namespace, "-o", "name"))
+ ok = result is not None and result.returncode == 0
+ return Check(
+ name="namespace",
+ ok=ok,
+ detail=(
+ f"{namespace} exists and is accessible" if ok
+ else f"namespace {namespace} does not exist or is not accessible"
+ ),
+ fix=None if ok else f"{binary} new-project {namespace} # or ask its owner for access",
+ )
+
+
+def _object_checks(binary: str, namespace: str, division: bool) -> list[Check]:
+ """One check per bundle object, taken from the bundle itself.
+
+ Derived rather than listed again: a second hardcoded list is how `verify` comes to check four
+ objects while `setup` applies five, and the missing one is only found by a run that fails.
+ """
+ checks = []
+ for obj in bundle_objects(namespace=namespace, division=division):
+ kind, name = obj.kind, obj.name
+ result = _run(cli(binary, "get", kind, name, "-n", namespace, "-o", "name"))
+ ok = result is not None and result.returncode == 0
+ checks.append(
+ Check(
+ name=f"bundle:{kind}/{name}",
+ ok=ok,
+ detail=f"{kind}/{name} present" if ok else f"{kind}/{name} is missing",
+ fix=(
+ None if ok else
+ f"factory contained --namespace {namespace}"
+ f"{' --division' if division else ''} bundle | {binary} apply -f -"
+ ),
+ )
+ )
+ return checks
+
+
+def _verb_checks(namespace: str, division: bool) -> list[Check]:
+ """SelfSubjectAccessReview for each verb the run needs, asked as the ServiceAccount."""
+ wanted = REQUIRED_SA_VERBS + (DIVISION_SA_VERBS if division else ())
+ missing = []
+ unknown = False
+ for verb, resource, subresource, group in wanted:
+ allowed = access_review(
+ verb, resource, namespace, subresource=subresource, group=group,
+ as_service_account=SERVICE_ACCOUNT,
+ )
+ if allowed is None:
+ unknown = True
+ continue
+ if not allowed:
+ missing.append(f"{verb} {resource}{'/' + subresource if subresource else ''}")
+ if unknown:
+ return [
+ Check(
+ name="permissions",
+ ok=False,
+ detail="the access review could not be run, so permissions are unknown",
+ fix=f"check that you can run `oc auth can-i --list -n {namespace}`",
+ )
+ ]
+ ok = not missing
+ return [
+ Check(
+ name="permissions",
+ ok=ok,
+ detail=(
+ f"serviceaccount/{SERVICE_ACCOUNT} has every verb the run needs" if ok
+ else f"serviceaccount/{SERVICE_ACCOUNT} cannot: {', '.join(missing)}"
+ ),
+ fix=(
+ None if ok else
+ f"factory contained --namespace {namespace}"
+ f"{' --division' if division else ''} bundle | oc apply -f -"
+ ),
+ ),
+ _no_exec_check(namespace),
+ ]
+
+
+def _no_exec_check(namespace: str) -> Check:
+ """`pods/exec` must be **absent** from the ServiceAccount.
+
+ This is the one check that fails when something *succeeds*. The build sidecar holds `oc` and the
+ ServiceAccount token and the agent's container holds neither — but that is only a boundary
+ because the agent cannot exec into the sidecar. With this verb granted, it can, and the
+ separation the whole k8s division rests on is decoration.
+
+ Attaching does not need it: `factory contained attach` runs as *you*, with your kubeconfig.
+ """
+ granted = access_review(
+ "create", "pods", namespace, subresource="exec", as_service_account=SERVICE_ACCOUNT
+ )
+ if granted is None:
+ return Check(
+ name="no_pods_exec",
+ ok=False,
+ detail="could not check whether the ServiceAccount has pods/exec",
+ fix=(
+ "check that the cluster is reachable and that you may post a SubjectAccessReview: "
+ f"oc auth can-i create subjectaccessreviews -n {namespace}"
+ ),
+ )
+ return Check(
+ name="no_pods_exec",
+ ok=not granted,
+ detail=(
+ f"serviceaccount/{SERVICE_ACCOUNT} cannot exec into pods, which is what makes the "
+ "build sidecar a boundary" if not granted
+ else f"serviceaccount/{SERVICE_ACCOUNT} CAN exec into pods. The agent can exec into the "
+ "build sidecar and recover a shell path to the cluster"
+ ),
+ fix=(
+ None if not granted else
+ f"remove the pods/exec grant from the roles bound to serviceaccount/{SERVICE_ACCOUNT} "
+ f"in {namespace}; the factory's own bundle never grants it"
+ ),
+ )
+
+
+def _secret_check(binary: str, namespace: str) -> Check:
+ """The Secret must exist and carry a usable backend's keys — its *keys*, never its values."""
+ result = _run(cli(binary, "get", "secret", SECRET_NAME, "-n", namespace,
+ "-o", "jsonpath={.data}"))
+ create_line = (
+ f"{binary} create secret generic {SECRET_NAME} -n {namespace} \\\n"
+ f" --from-literal=ANTHROPIC_API_KEY=...\n"
+ f" or, for Vertex:\n"
+ f" {binary} create secret generic {SECRET_NAME} -n {namespace} \\\n"
+ f" --from-literal=CLAUDE_CODE_USE_VERTEX=1 \\\n"
+ f" --from-literal=CLOUD_ML_REGION=<region> \\\n"
+ f" --from-literal=ANTHROPIC_VERTEX_PROJECT_ID=<project> \\\n"
+ f" --from-file={ADC_SECRET_KEY}=$HOME/.config/gcloud/"
+ f"application_default_credentials.json"
+ )
+ if result is None or result.returncode != 0:
+ return Check(
+ name="credentials_secret",
+ ok=False,
+ detail=f"secret/{SECRET_NAME} is missing from {namespace}",
+ fix=create_line,
+ )
+ keys = _keys_of(result.stdout)
+ if set(ANTHROPIC_KEYS) <= keys:
+ return Check(name="credentials_secret", ok=True,
+ detail=f"secret/{SECRET_NAME} carries the Anthropic API key")
+ if set(VERTEX_KEYS) <= keys:
+ return Check(name="credentials_secret", ok=True,
+ detail=f"secret/{SECRET_NAME} carries the Vertex configuration")
+ return Check(
+ name="credentials_secret",
+ ok=False,
+ detail=(
+ f"secret/{SECRET_NAME} exists but carries none of the supported backends' keys "
+ f"(has: {', '.join(sorted(keys)) or 'nothing'})"
+ ),
+ fix=create_line,
+ )
+
+
+def _keys_of(raw: str) -> set[str]:
+ import json
+
+ try:
+ data = json.loads(raw or "{}")
+ except json.JSONDecodeError:
+ return set()
+ return set(data) if isinstance(data, dict) else set()
+
+
+def _inference_check(binary: str, namespace: str, image: str) -> Check:
+ """Can a pod in this namespace actually reach inference? (spec.0 check 6)
+
+ **From inside the cluster, not from here.** A host-side check proves nothing about the pod's
+ egress: the laptop has a proxy, a VPN and a working DNS resolver that the namespace may not, and
+ a NetworkPolicy the laptop never sees. So this runs one short-lived pod, with the same image and
+ the same Secret a real run would use, and asks it to make a single request.
+
+ It is the one check that creates something, and it removes what it creates. That is the trade
+ the design makes deliberately: a credentials problem found here fails at launch with a named
+ cause, and found any other way it fails inside an agent call, minutes in, looking like a model
+ outage.
+ """
+ # A hash rather than a slice of the namespace: a truncated name can end in a hyphen, which
+ # RFC 1123 rejects and which the API server reports as an invalid *value* rather than as a
+ # naming mistake. Hashing also keeps two namespaces' probes from colliding.
+ pod = f"factory-inference-probe-{hashlib.sha1(namespace.encode()).hexdigest()[:8]}"
+ manifest = _probe_pod_manifest(pod, namespace, image)
+ try:
+ subprocess.run(cli(binary, "delete", "pod", pod, "-n", namespace, "--ignore-not-found"),
+ capture_output=True, text=True, timeout=60)
+ created = subprocess.run(cli(binary, "apply", "-n", namespace, "-f", "-"),
+ input=manifest, capture_output=True, text=True, timeout=60)
+ if created.returncode != 0:
+ return Check(
+ name="inference_from_cluster",
+ ok=False,
+ detail=f"the probe pod could not be created: {created.stderr.strip()[:160]}",
+ fix=f"factory contained --namespace {namespace} bundle | {binary} apply -f -",
+ )
+ waited = subprocess.run(
+ cli(binary, "wait", f"pod/{pod}", "-n", namespace,
+ "--for=jsonpath={.status.phase}=Succeeded", "--timeout=180s"),
+ capture_output=True, text=True, timeout=240,
+ )
+ logs = subprocess.run(cli(binary, "logs", pod, "-n", namespace),
+ capture_output=True, text=True, timeout=60)
+ output = (logs.stdout or "").strip()
+ ok = waited.returncode == 0 and "PROBE_OK" in output
+ return Check(
+ name="inference_from_cluster",
+ ok=ok,
+ detail=(
+ "a pod in this namespace reached the configured inference backend"
+ if ok
+ else "a pod in this namespace could NOT reach inference: "
+ + (output.splitlines()[-1][:200] if output else "the probe produced no output")
+ ),
+ fix=(
+ None if ok else
+ f"check the Secret's contents and the namespace's egress. The probe pod's own words "
+ f"are the best evidence: {binary} logs {pod} -n {namespace}"
+ ),
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired) as exc:
+ return Check(
+ name="inference_from_cluster",
+ ok=False,
+ detail=f"the in-cluster inference probe could not be run: {exc}",
+ fix=None,
+ )
+ finally:
+ subprocess.run(cli(binary, "delete", "pod", pod, "-n", namespace, "--ignore-not-found",
+ "--wait=false"), capture_output=True, text=True, timeout=60)
+
+
+def _probe_pod_manifest(name: str, namespace: str, image: str) -> str:
+ """One pod, one request, no workspace, no PVC — it must not depend on anything under test.
+
+ The probe deliberately does not use the factory: it curls the backend the Secret configures, so
+ a failure means "this namespace cannot reach inference" rather than "something in the factory
+ broke". Both matter, and this check owns the first.
+ """
+ script = (
+ 'set -e; '
+ 'if [ -n "$CLAUDE_CODE_USE_VERTEX" ]; then '
+ ' url="https://${CLOUD_ML_REGION}-aiplatform.googleapis.com/generateContent"; '
+ 'else '
+ ' url="https://api.anthropic.com/v1/messages"; '
+ 'fi; '
+ 'echo "probing $url"; '
+ 'code=$(curl -sS -o /dev/null -w "%{http_code}" --max-time 20 "$url" || echo 000); '
+ 'echo "http $code"; '
+ # Any HTTP status proves the request left the namespace and was answered. 000 is the one
+ # that means it did not — DNS, egress policy, or a proxy the laptop has and the pod lacks.
+ '[ "$code" != "000" ] && echo PROBE_OK || { echo "no response — DNS, egress or proxy"; exit 1; }'
+ )
+ return f"""\
+apiVersion: v1
+kind: Pod
+metadata:
+ name: {name}
+ namespace: {namespace}
+ labels:
+ {LABEL_CONTAINED}: "true"
+spec:
+ restartPolicy: Never
+ serviceAccountName: {SERVICE_ACCOUNT}
+ securityContext:
+ runAsNonRoot: true
+ seccompProfile:
+ type: RuntimeDefault
+ containers:
+ - name: probe
+ image: {image}
+ command: ["sh", "-c", {json.dumps(script)}]
+ envFrom:
+ - secretRef:
+ name: {SECRET_NAME}
+ optional: true
+ securityContext:
+ allowPrivilegeEscalation: false
+ capabilities:
+ drop: ["ALL"]
+"""
+
+
+def _image_check() -> Check:
+ """The image is a *reference* check here, not a presence one.
+
+ Whether the cluster can pull it is answered by the pod, and answered properly: a host-side
+ `podman pull` proves nothing about a cluster's registry access, and reporting it as if it did is
+ worse than not checking.
+ """
+ reference = resolve_image()
+ return Check(
+ name="runtime_image",
+ ok=True,
+ detail=f"{reference} (multi-arch; the cluster pulls the amd64 manifest, this laptop arm64)",
+ )
+
+
+def _gitleaks_check() -> Check:
+ available = gitleaks_available()
+ return Check(
+ name="secret_scanner",
+ ok=available,
+ detail=(
+ "gitleaks present; workspaces are scanned before they leave this machine" if available
+ else "gitleaks is not installed, so uploads will proceed UNSCANNED with a warning"
+ ),
+ fix=None if available else "brew install gitleaks",
+ )
+
+
+def _division_checks(namespace: str) -> list[Check]:
+ """The k8s division is OpenShift-only, detected by API presence rather than by `oc`."""
+ result = _run(build_api_resources_argv("build.openshift.io"))
+ present = result is not None and result.returncode == 0 and "builds" in result.stdout
+ return [
+ Check(
+ name="build_api",
+ ok=present,
+ detail=(
+ "build.openshift.io is served by this cluster" if present
+ else "this cluster does not serve build.openshift.io, so --target k8s --division "
+ "cannot work here"
+ ),
+ fix=(
+ None if present else
+ "run without --division (the factory still runs; it just cannot build images), or "
+ "use an OpenShift cluster. Plain-Kubernetes builds are out of scope by decision: "
+ "rootless buildah, kaniko and buildkit all need a uid_map write these nodes deny."
+ ),
+ )
+ ]
+
+
+def setup_k8s(
+ *,
+ namespace: str | None,
+ division: bool,
+ interactive: bool,
+ assume_yes: bool = False,
+) -> int:
+ """Leave the namespace able to run factory pods, or say exactly what is missing."""
+ try:
+ binary = cli_binary()
+ except ClusterError as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 2
+
+ print(style.section("Cluster and namespace", step=1, total=_K8S_STEPS))
+ chosen_context = _choose_context(interactive)
+ if chosen_context is _ABORT:
+ print("\nStopped. Nothing was applied.", file=sys.stderr)
+ return 1
+ if isinstance(chosen_context, str):
+ # Pin every later cluster command to it. Nothing about the user's kubeconfig changes.
+ set_active_context(chosen_context)
+
+ try:
+ target = _choose_namespace(
+ namespace, interactive=interactive, binary=binary, assume_yes=assume_yes
+ )
+ except ClusterError as exc:
+ print(f"Error: {exc}", file=sys.stderr)
+ return 2
+ if target is None:
+ print("\nStopped. Nothing was applied.", file=sys.stderr)
+ return 1
+
+ manifest = render_bundle(namespace=target, division=division, image=resolve_image())
+ apply_line = (f" factory contained --namespace {target}"
+ f"{' --division' if division else ''} bundle | {binary} apply -f -")
+
+ # Say the outcome before printing 80 lines of YAML that would otherwise bury it — and check the
+ # blocker the user actually has. With no cluster reachable, nothing could be applied whatever
+ # they answer, and "About to apply..." would be untrue.
+ reachable = _run(cli(binary, "config", "current-context"))
+ if reachable is None or reachable.returncode != 0 or not reachable.stdout.strip():
+ print(
+ f"No cluster is selected, so nothing can be applied to namespace {target} from here.\n"
+ f"Log in first (`{binary} login ...`), then re-run. The manifest you will need is "
+ "below; you can also hand it to whoever owns the namespace:\n"
+ f"{apply_line}\n",
+ file=sys.stderr,
+ )
+ print(manifest)
+ return 1
+
+ # Establish the current state before asking anything. A wall of YAML the user cannot relate to
+ # their own namespace offers a choice between "yes" and "no" to an unknown — what they need to
+ # decide is, per object that is not already right, what it is for and what would change.
+ print(style.section("Review and apply", step=2, total=_K8S_STEPS))
+ objects = bundle_objects(namespace=target, division=division)
+ states = inspect_objects(objects, target, binary)
+ print(render_summary(states, target, cluster_context().server))
+
+ # There is no separate apply step: each object is applied the moment it is accepted. Batching
+ # them until the end would mean a user who answers yes twice and then stops is told nothing was
+ # applied, which is false — and the immediate `role/... configured` is also the feedback that
+ # makes the next decision an informed one.
+ if not (interactive or assume_yes):
+ print(
+ "Not a terminal and --yes was not given, so nothing was applied.\n"
+ f"Apply it yourself, or hand it to whoever owns {target}:\n"
+ f"{apply_line}\n",
+ file=sys.stderr,
+ )
+ return 1
+
+ outcome = walk(
+ states, target, binary,
+ interactive=interactive,
+ assume_yes=assume_yes,
+ apply=lambda obj: _apply_object(obj, target, binary),
+ )
+ if outcome.failed:
+ print(
+ "If this is a permissions problem, hand the bundle to whoever owns the namespace:\n"
+ f"{apply_line}",
+ file=sys.stderr,
+ )
+
+ if outcome.aborted:
+ # Stopping means stopping. Following `q` with a ten-check verification sweep against the
+ # cluster is both slow and the opposite of what the key was pressed for; the command that
+ # does it is named instead. Non-zero either way, because the namespace is deliberately
+ # half-prepared and a script must not read that as success.
+ print(style.line(
+ "Run "
+ + style.bold(f"factory contained --target k8s --namespace {target} verify")
+ + " when you want the full picture."
+ ))
+ return 1
+
+ return _finish(binary, target, division, interactive)
+
+
+def _apply_object(obj: BundleObject, namespace: str, binary: str) -> tuple[bool, str]:
+ """Apply one object with the user's own credentials. Never raises.
+
+ One `apply` per object rather than one for the batch: the walk needs to report each result
+ beside the decision that caused it, and a single combined apply can only report a total.
+ """
+ argv = cli(binary, "apply", "-n", namespace, "-f", "-")
+ try:
+ result = subprocess.run(
+ argv, input=obj.manifest, capture_output=True, text=True, timeout=120,
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired) as exc:
+ return False, f"{type(exc).__name__}: {exc}"
+ if result.returncode == 0:
+ return True, (result.stdout or "").strip()
+ detail = (result.stderr or "").strip().splitlines()
+ return False, detail[0][:200] if detail else "no detail given"
+
+
+def _finish(binary: str, target: str, division: bool, interactive: bool = False) -> int:
+ """The Secret reminder and the verify pass — reached whether or not anything was applied.
+
+ A run where every object was already correct still has to end in `verify`'s two states, because
+ "nothing to apply" is not the same claim as "this namespace is ready".
+ """
+ print(
+ f"\nThe credentials Secret is yours to create — the factory never handles the material:\n"
+ f" {binary} create secret generic {SECRET_NAME} -n {target} "
+ "--from-literal=ANTHROPIC_API_KEY=...\n"
+ )
+ print(style.section("Verify", step=_K8S_STEPS, total=_K8S_STEPS))
+ # Streamed, not collected: the access reviews and the in-cluster inference probe take minutes
+ # between them, and a step that prints nothing until they all finish is read as a hang — which
+ # is exactly how it was reported.
+ checks = verify_k8s(
+ namespace=target, division=division, on_check=lambda c: print(format_check(c), flush=True)
+ )
+ print()
+ pinned = active_context()
+ ready = f"factory contained --target k8s --namespace {target}"
+ if pinned:
+ # The ready-to-run command carries the context, so copying it reaches the cluster that was
+ # just prepared rather than whichever one happens to be current later.
+ ready += f" --context {pinned}"
+ print(summary_line(checks, ready_command=f"{ready} -- ceo <path>", setup_command=None))
+ if pinned:
+ _offer_default_switch(pinned, interactive)
+ return 0 if all(c.ok for c in checks) else 1
+
+
+def _choose_context(interactive: bool) -> str | None | object:
+ """Which cluster to prepare. Returns a context name, None to keep the current one, or ABORT.
+
+ A kubeconfig routinely holds several clusters and `oc config use-context` is the only way most
+ people know to move between them — which means picking the wrong one here is a `Ctrl-C`, a
+ context switch, and a restart. Offering the list costs one question and removes that loop.
+
+ Whatever is chosen is applied with `--context` on every later command rather than by rewriting
+ the kubeconfig: choosing where *this* run goes must not silently change where the user's next
+ unrelated `oc get pods` goes. Switching the default is offered separately, afterwards.
+ """
+ contexts = list_contexts()
+ current = cluster_context().context
+ if not interactive or len(contexts) < 2:
+ # Nothing to choose between — and on a machine with one context, asking is noise.
+ return None
+ _print_contexts(contexts, current)
+ return _ask_context(contexts, current)
+
+
+def _print_contexts(contexts: list[ClusterContext], current: str | None) -> None:
+ """The numbered list, with the server under each name and the current one marked.
+
+ The server is what distinguishes them: context names are local labels a person chose, and two
+ of them saying `dev` and `dev-2` do not say which cluster either one reaches.
+ """
+ print()
+ print(style.line("Clusters in your kubeconfig:"))
+ print()
+ for index, entry in enumerate(contexts, start=1):
+ marker = style.paint(" (current)", "green") if entry.context == current else ""
+ print(f" {style.bold(str(index))}) {style.value(entry.context or '?')}{marker}")
+ if entry.server:
+ print(f" {style.dim(entry.server)}")
+ print()
+
+
+def _ask_context(contexts: list[ClusterContext], current: str | None) -> str | None | object:
+ """Ask until an answer names one of `contexts`. A context name, or ABORT for Escape."""
+ default = str(next(
+ (i for i, e in enumerate(contexts, start=1) if e.context == current), 1
+ ))
+ while True:
+ answer = style.read_line("Which cluster?", default)
+ if answer is None:
+ return _ABORT
+ choice = answer or default
+ if choice.isdigit() and 1 <= int(choice) <= len(contexts):
+ return contexts[int(choice) - 1].context
+ # A name is accepted as well as a number: people paste context names.
+ named = next((e for e in contexts if e.context == choice), None)
+ if named is not None:
+ return named.context
+ print(f"Pick a number between 1 and {len(contexts)}, or type a context name.",
+ file=sys.stderr)
+
+
+def _offer_default_switch(name: str, interactive: bool) -> None:
+ """After a run against a non-default context, offer to make it the default — or say how.
+
+ Not done implicitly. Every later `factory contained --target k8s` command resolves the cluster
+ the same way, so a namespace prepared here and a run started tomorrow would go to different
+ clusters unless one of the two happens; being told which is the point.
+ """
+ if cluster_context().context == name:
+ return
+ binary = cli_binary()
+ switch = f"{binary} config use-context {name}"
+ print()
+ print(style.line(
+ f"This prepared {style.value(name)}, which is not your current context. Later "
+ "`factory contained` commands use your current one unless you pass --context."
+ ))
+ if not interactive:
+ print(style.line(f"Switch with: {style.bold(switch)}"))
+ return
+ answer = style.confirm(f"Make {style.value(name)} your default context now?", default=False)
+ if not answer:
+ print(style.line(f"Left alone. Switch later with: {style.bold(switch)}"))
+ return
+ switched, detail = use_context(name)
+ if switched:
+ print(style.line(style.paint(detail or f"Now using {name}.", "green")))
+ else:
+ print(style.line(style.paint(f"Could not switch: {detail}", "red")))
+ print(style.line(f"Do it yourself with: {style.bold(switch)}"))
+
+
+def _print_context(current: str | None) -> None:
+ """Say which cluster, as whom, before asking anything about it.
+
+ A namespace name alone identifies nothing — `default` exists on every cluster anyone has ever
+ logged into — so the API server URL is the field that actually answers "am I about to apply
+ RBAC to the right place?". Degrades one field at a time: an unreadable kubeconfig prints the
+ namespace it already knows rather than nothing at all.
+ """
+ context = cluster_context()
+ if context.server:
+ print(style.field("Cluster", context.server))
+ if context.user:
+ print(style.field("User", context.user))
+ if context.context:
+ print(style.field("Context", context.context))
+ if current:
+ print(style.field("Namespace", f"{style.value(current)} {style.dim('(the default below)')}"))
+ else:
+ print(style.field("Namespace", style.dim("none — your context selects no namespace")))
+
+
+PRESENT, ABSENT, UNREADABLE = "present", "absent", "unreadable"
+
+# Distinct from both `None` ("keep the current context") and a name. Three outcomes, three values —
+# collapsing "the user pressed Escape" into "keep the default" would carry on against a cluster
+# they were trying to get away from.
+_ABORT = object()
+
+
+def _namespace_status(name: str, binary: str) -> str:
+ """Whether the namespace exists — and honestly `unreadable` when that cannot be established.
+
+ Two kinds try, not one. On OpenShift a regular user is routinely denied `get namespaces`
+ cluster-wide even for a project they own, so a Forbidden on the Namespace says nothing about
+ whether it exists; `get project` is the question the same user is allowed to ask.
+ """
+ kinds = ("namespace", "project") if binary == "oc" else ("namespace",)
+ for kind in kinds:
+ result = _run(cli(binary, "get", kind, name, "-o", "name"), timeout=30)
+ if result is None:
+ return UNREADABLE
+ if result.returncode == 0:
+ return PRESENT
+ if "not found" in (result.stderr or "").lower():
+ return ABSENT
+ return UNREADABLE
+
+
+def _create_namespace(name: str, binary: str) -> tuple[bool, str]:
+ """Create it, by the route the user is actually likely to be allowed to take.
+
+ `oc new-project` rather than `create namespace`: on OpenShift a regular user is usually denied
+ creating a bare Namespace but permitted to request a Project, and the project request is what
+ succeeds without cluster-admin. It also makes the new project current, which is a change to the
+ user's kubeconfig and is therefore said out loud rather than left to be discovered.
+ """
+ argv = (
+ cli(binary, "new-project", name) if binary == "oc"
+ else cli(binary, "create", "namespace", name)
+ )
+ print(style.line(style.dim(f"$ {' '.join(argv)}")))
+ result = _run(argv, timeout=120)
+ if result is None:
+ return False, f"could not run `{' '.join(argv)}`"
+ if result.returncode == 0:
+ return True, (result.stdout or "").strip()
+ detail = (result.stderr or "").strip().splitlines()
+ return False, detail[0][:200] if detail else "no detail given"
+
+
+def _resolve_existing(name: str, binary: str, *, interactive: bool, assume_yes: bool) -> str:
+ """Settle whether `name` is usable. Returns "ok", "retry" (ask for another), or "abort"."""
+ status = _namespace_status(name, binary)
+ if status == PRESENT:
+ print(style.line(f"Namespace {style.value(name)} exists."))
+ return "ok"
+ if status == UNREADABLE:
+ # Not an error and not a reason to stop: the review below compares every object against
+ # this namespace and will show the truth in a moment either way.
+ print(style.line(style.paint(
+ f"Could not confirm whether namespace {name} exists — this cluster may not let you "
+ "read namespaces. Carrying on.", "yellow"
+ )))
+ return "ok"
+
+ print(style.line(style.paint(
+ f"Namespace {style.value(name)} does not exist on this cluster.", "yellow"
+ )))
+ if not interactive and not assume_yes:
+ print(
+ f"Create it first (`{binary} new-project {name}`), or pass --yes to have this create "
+ "it for you.",
+ file=sys.stderr,
+ )
+ return "abort"
+ if not assume_yes:
+ answer = style.confirm(f"Create namespace {style.value(name)} now?", default=False)
+ if answer is None:
+ return "abort"
+ if not answer:
+ return "retry"
+ created, detail = _create_namespace(name, binary)
+ if created:
+ print(style.line(style.paint(f"Created {name}. {detail}".strip(), "green")))
+ if binary == "oc":
+ print(style.note("`oc new-project` also made it your current project."))
+ return "ok"
+ print(style.line(style.paint(f"Could not create {name}: {detail}", "red")))
+ print(style.note("Ask whoever administers this cluster, or choose a namespace you can use."))
+ return "abort" if not interactive else "retry"
+
+
+def _choose_namespace(
+ explicit: str | None, *, interactive: bool, binary: str, assume_yes: bool = False
+) -> str | None:
+ """Which namespace to prepare — asked, not assumed, and confirmed to exist.
+
+ `--namespace` always wins as a *name*, but is still checked: applying a bundle to a namespace
+ that is not there fails five times over with five separate NotFound errors, which is a poor way
+ to learn you made a typo. Otherwise the current context supplies the *default*, not the answer:
+ landing silently on whatever `oc project` happens to be set to is how a shared `default`
+ acquires a ServiceAccount, a Role and a 10Gi PVC that nobody asked for.
+
+ Returns None when the user backs out — Escape, a refusal to create, or end of input.
+ """
+ if explicit:
+ print(style.line(f"Using the namespace you passed: {style.value(explicit)}"))
+ outcome = _resolve_existing(
+ explicit, binary, interactive=interactive, assume_yes=assume_yes
+ )
+ # There is no prompt loop on this path: the user named it on the command line, so "retry"
+ # can only mean "run it again with a different --namespace".
+ return explicit if outcome == "ok" else None
+
+ current = current_namespace()
+ if not interactive:
+ # No one to ask. `resolve_namespace` supplies both the current-context fallback and the
+ # message naming the two ways to set it when there is none.
+ target = resolve_namespace(None)
+ print(style.line(
+ f"Not a terminal; using the current context's namespace {style.value(target)}."
+ ))
+ outcome = _resolve_existing(target, binary, interactive=False, assume_yes=assume_yes)
+ return target if outcome == "ok" else None
+
+ print(style.note(
+ "This is where the factory's ServiceAccount, Role, RoleBinding and workspace PVC will "
+ "live. If it does not exist yet, you will be offered the chance to create it."
+ ))
+ print()
+ _print_context(current)
+ print()
+
+ while True:
+ # `read_line`, not `input`: Escape has to cancel the moment it is pressed rather than
+ # insert `^[` into the line and do nothing until Enter.
+ raw = style.read_line("Namespace to prepare", current)
+ if raw is None:
+ return None
+ chosen = raw.strip() or current or ""
+ if not chosen:
+ print(
+ "A namespace is required, and your current context does not supply one. "
+ f"Select one with `{binary} project <name>`, or type it here.",
+ file=sys.stderr,
+ )
+ continue
+ outcome = _resolve_existing(
+ chosen, binary, interactive=interactive, assume_yes=assume_yes
+ )
+ if outcome == "ok":
+ return chosen
+ if outcome == "abort":
+ return None
diff --git a/factory/contained/lifecycle.py b/factory/contained/lifecycle.py
new file mode 100644
index 000000000..ec1a8ce0a
--- /dev/null
+++ b/factory/contained/lifecycle.py
@@ -0,0 +1,497 @@
+"""`ls`, `attach`, `rm`, `sync` — over runtimes the factory created, and only those.
+
+A tool that lists resources it did not create invites the user to assume it manages them too, so
+every subcommand here filters on the factory's own label and refuses a name that does not carry it.
+`resolve_runtime` returning `None` is the enforcement point: `attach`, `remove`, and `sync` all go
+through it before touching anything.
+
+`ls` is the one command that spans both targets — one table, local and cluster together — because a
+user asking "what is running?" does not want to ask it twice. Everything else acts on a single
+named runtime and takes its target from `--target`.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import subprocess
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+import structlog
+
+from factory.contained.runtimes import LifecycleError, Runtime
+from factory.contained.workspace import (
+ Workspace,
+ cleanup_hint,
+ contained_home,
+ merge_hint,
+)
+from factory.podman import (
+ LABEL_CONTAINED,
+ LABEL_PROJECT,
+ LABEL_SOURCE,
+ build_attach_argv,
+ build_pane_liveness_argv,
+ build_ps_argv,
+ build_rm_argv,
+)
+
+log = structlog.get_logger()
+
+
+def _podman_entries() -> list[dict[str, object]]:
+ try:
+ result = subprocess.run(build_ps_argv(), capture_output=True, text=True)
+ except FileNotFoundError as exc:
+ raise LifecycleError(
+ "`podman` is not installed or not on PATH. Install it and retry, or run "
+ "`factory contained verify` for the full list of prerequisites."
+ ) from exc
+ if result.returncode != 0:
+ raise LifecycleError(f"cannot reach podman ({_first_line(result.stderr)})")
+ try:
+ payload = json.loads(result.stdout or "[]")
+ except json.JSONDecodeError as exc:
+ raise LifecycleError(
+ f"`podman ps` returned output that isn't JSON: {result.stdout.strip()[:200]!r}"
+ ) from exc
+ return payload if isinstance(payload, list) else []
+
+
+def _first_line(stderr: str) -> str:
+ """The first meaningful line of a CLI error. podman's connection failure runs to five."""
+ for line in (stderr or "").splitlines():
+ text = line.strip()
+ if text:
+ return text.removeprefix("Error: ")[:140]
+ return "no details given"
+
+
+def _labels_of(entry: dict[str, object]) -> dict[str, object]:
+ raw = entry.get("Labels")
+ return raw if isinstance(raw, dict) else {}
+
+
+def _name_of(entry: dict[str, object]) -> str:
+ names = entry.get("Names")
+ if isinstance(names, list) and names:
+ return str(names[0])
+ return str(entry.get("Name", ""))
+
+
+def _created_of(entry: dict[str, object]) -> datetime | None:
+ """`podman ps --format json` reports Created as a unix timestamp in this podman line.
+
+ Older builds emit an RFC-3339 string under the same key, so both are accepted and anything
+ unparseable degrades to `None` (rendered as `?`) rather than raising inside a listing.
+ """
+ created = entry.get("Created")
+ if isinstance(created, (int, float)):
+ return datetime.fromtimestamp(created, tz=timezone.utc)
+ if isinstance(created, str) and created.strip():
+ try:
+ return datetime.fromisoformat(created.strip().replace("Z", "+00:00"))
+ except ValueError:
+ return None
+ return None
+
+
+def local_runtimes() -> list[Runtime]:
+ """Every container the factory created on this machine, running or not.
+
+ `build_ps_argv` already selects on the factory's own label, so the label check below is a
+ second, independent filter site rather than the only one.
+ """
+ runtimes = []
+ for entry in _podman_entries():
+ labels = _labels_of(entry)
+ if str(labels.get(LABEL_CONTAINED, "")).lower() != "true":
+ continue
+ name = _name_of(entry)
+ container_state = str(entry.get("State", "unknown"))
+ runtimes.append(
+ Runtime(
+ name=name,
+ target="local",
+ project=str(labels.get(LABEL_PROJECT, "")),
+ state=_run_state(name, container_state),
+ created=_created_of(entry),
+ source=str(labels.get(LABEL_SOURCE, "")) or None,
+ )
+ )
+ return runtimes
+
+
+def _run_state(name: str, container_state: str) -> str:
+ """What the *run* is doing, which is not the same as what the container is doing.
+
+ The container's PID 1 outlives the run on purpose, so a container whose run has finished still
+ reports `running` — which is why a user is told a run is live and then finds nothing to attach
+ to. When the container is up, the session is what says whether the run is.
+ """
+ if container_state.strip().lower() != "running":
+ return container_state
+ try:
+ result = subprocess.run(
+ build_pane_liveness_argv(name), capture_output=True, text=True, timeout=10
+ )
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return container_state
+ if result.returncode != 0:
+ return "finished" # no session left at all
+ # `0` marks a pane whose process is still alive. All-dead means the run is over even though the
+ # session is deliberately still there for its output.
+ return "running" if "0" in result.stdout.split() else "finished"
+
+
+def list_runtimes(
+ target: str | None = None, namespace: str | None = None
+) -> tuple[list[Runtime], list[str], list[str]]:
+ """Runtimes for one target, or both when `target` is None.
+
+ Returns the runtimes, notes about a target that genuinely failed, and the names of targets that
+ were simply not configured. Those last two are different facts: "your cluster is unreachable" is
+ worth saying, "you have never used the cluster" is not, and `ls` on a laptop with no kubeconfig
+ must still list the local containers without complaining about a target the user never asked
+ for.
+ """
+ runtimes: list[Runtime] = []
+ notes: list[str] = []
+ unconfigured: list[str] = []
+ if target in (None, "local"):
+ try:
+ runtimes += local_runtimes()
+ except LifecycleError as exc:
+ if target == "local":
+ raise
+ notes.append(f"local: {exc}")
+ if target in (None, "k8s"):
+ from factory.contained.usage import uses
+
+ # Only reach for the cluster when there is reason to think it is wanted. Asking an
+ # unreachable one costs a multi-second timeout and then reports an error about a target the
+ # user may never have used — which is the common case for anyone who set up `local` only.
+ if target is None and not uses("k8s"):
+ unconfigured.append("k8s")
+ else:
+ try:
+ from factory.contained.k8s import cluster_runtimes, has_cluster_context
+
+ if target is None and not has_cluster_context():
+ unconfigured.append("k8s")
+ else:
+ runtimes += cluster_runtimes(namespace)
+ except LifecycleError as exc:
+ if target == "k8s":
+ raise
+ notes.append(f"k8s: {exc}")
+ return runtimes, notes, unconfigured
+
+
+def _format_age(created: datetime | None) -> str:
+ if created is None:
+ return "?"
+ now = datetime.now(timezone.utc)
+ if created.tzinfo is None:
+ created = created.replace(tzinfo=timezone.utc)
+ seconds = int((now - created).total_seconds())
+ if seconds < 0:
+ return "?"
+ if seconds < 60:
+ return f"{seconds}s"
+ if seconds < 3600:
+ return f"{seconds // 60}m"
+ if seconds < 86400:
+ return f"{seconds // 3600}h"
+ return f"{seconds // 86400}d"
+
+
+def render_table(
+ runtimes: list[Runtime],
+ notes: list[str] | None = None,
+ unconfigured: list[str] | None = None,
+) -> str:
+ if not runtimes:
+ # Three different facts, and only one of them is a problem: nothing is running, something
+ # could not be reached, or a target was never set up. Reporting the second for the first
+ # tells a user their fleet is empty when the engine is simply down.
+ body = (
+ "Could not list every runtime — see the note(s) below."
+ if notes
+ else "No contained runtimes. Start one with `factory contained -- ceo <path>`."
+ )
+ else:
+ rows = [f"{'NAME':<34}{'TARGET':<8}{'PROJECT':<14}{'AGE':<6}{'STATE'}"]
+ for runtime in runtimes:
+ rows.append(
+ f"{runtime.name:<34}"
+ f"{runtime.target:<8}"
+ f"{runtime.project:<14}"
+ f"{_format_age(runtime.created):<6}"
+ f"{runtime.state}"
+ )
+ body = "\n".join(rows)
+ for note in notes or []:
+ body += f"\n\nnote: {note}"
+ return body
+
+
+def resolve_runtime(name: str, runtimes: list[Runtime]) -> Runtime | None:
+ """Find a factory-created runtime by name, or None when it is not one of ours."""
+ return next((r for r in runtimes if r.name == name), None)
+
+
+def _not_ours(name: str) -> int:
+ print(
+ f"contained: {name} is not a runtime `factory contained` created. "
+ "`factory contained ls` shows the ones it manages.",
+ file=sys.stderr,
+ )
+ return 1
+
+
+def attach(name: str, target: str, namespace: str | None = None) -> int:
+ """Attach to the run's tmux session, blocking until the user detaches or it ends.
+
+ `subprocess.call` forks and waits rather than exec'ing — this process resumes when the tmux
+ client exits — but for the user at the terminal, that client *is* their terminal in the
+ meantime: `Ctrl-b d` detaches without stopping the run.
+ """
+ runtimes, _, _ = list_runtimes(target, namespace)
+ runtime = resolve_runtime(name, runtimes)
+ if runtime is None:
+ return _not_ours(name)
+ if runtime.target == "local" and runtime.state == "finished":
+ # The container is up but the run's session is gone — usually the run ended, or a stray
+ # Ctrl-D closed it. Sessions created by current versions survive that; older ones do not,
+ # and either way "no sessions" from tmux is not an answer a user can act on.
+ print(
+ f"contained: {name}'s run has finished and its session is gone, so there is nothing to "
+ f"attach to.\n"
+ f" Look inside anyway: podman exec -it {name} bash\n"
+ f" Get the work back: factory contained sync {name}\n"
+ f" Remove it: factory contained rm {name}",
+ file=sys.stderr,
+ )
+ return 1
+ if not runtime.active:
+ print(
+ f"contained: {name} is {runtime.state} — the container is not running, so there is "
+ f"nothing to attach to.\n"
+ f" Its workspace is still on disk; `factory contained sync {name}` shows where.\n"
+ f" Remove it with: factory contained rm {name}",
+ file=sys.stderr,
+ )
+ return 1
+ if runtime.target == "k8s":
+ from factory.contained.k8s import build_pod_attach_argv
+
+ return subprocess.call(build_pod_attach_argv(name, namespace))
+ return subprocess.call(build_attach_argv(name))
+
+
+def remove(
+ name: str, target: str, namespace: str | None = None, *,
+ assume_yes: bool, interactive: bool | None = None,
+) -> int:
+ """Delete a factory-created runtime.
+
+ Prompts before deleting one that is still active (spec: "Prompts if the run is still
+ active" — not a hard refusal). `--yes` skips the prompt for automation. When stdin is not a TTY
+ and `--yes` was not passed, this refuses rather than hanging on an answer that will never come.
+ """
+ runtimes, _, _ = list_runtimes(target, namespace)
+ runtime = resolve_runtime(name, runtimes)
+ if runtime is None:
+ return _not_ours(name)
+ if runtime.active and not assume_yes:
+ is_interactive = sys.stdin.isatty() if interactive is None else interactive
+ if not is_interactive:
+ print(
+ f"contained: {name} is still active (state={runtime.state}). Re-run with --yes to "
+ "delete it non-interactively.",
+ file=sys.stderr,
+ )
+ return 1
+ answer = input(f"{name} is still active (state={runtime.state}). Delete anyway? [y/N] ")
+ if answer.strip().lower() not in ("y", "yes"):
+ print(f"contained: {name} was not deleted.", file=sys.stderr)
+ return 1
+
+ log.debug("contained_remove_requested", name=name, state=runtime.state, target=runtime.target)
+ if runtime.target == "k8s":
+ from factory.contained.k8s import remove_cluster_runtime
+
+ return remove_cluster_runtime(name, namespace=namespace, assume_yes=assume_yes)
+
+ # podman echoes the name it removed; we print our own report on the next line, and the doubled
+ # name reads like a stutter.
+ removed = subprocess.run(build_rm_argv(name), capture_output=True, text=True)
+ if removed.returncode != 0:
+ log.warning("contained_remove_failed", name=name, exit_code=removed.returncode,
+ stderr=removed.stderr.strip()[:200])
+ print(f"contained: removing {name} failed: {removed.stderr.strip()}", file=sys.stderr)
+ return removed.returncode
+ log.debug("contained_remove_completed", name=name)
+ # The division server is a *host* process the run depends on, so removing the run is what ends
+ # it. Nothing else does: it is deliberately detached from the command that started it.
+ from factory.contained.division import stop_recorded
+
+ if stop_recorded(name):
+ print(f"{name}: division endpoint stopped.")
+ ws = workspace_for(name)
+ if ws is not None:
+ print(f"{name}: deleted. Your work is kept — it is not removed with the runtime.")
+ print(merge_hint(ws))
+ # The copy is a git worktree of the user's own repository, so it is registered in their
+ # repo and its branch is in their refs. Removing the container does not touch either, and a
+ # user who only deletes the directory leaves a stale registration that blocks the next run
+ # of the same name.
+ print()
+ print(cleanup_hint(ws))
+ else:
+ print(f"{name}: deleted.")
+ return 0
+
+
+def reap_stale(name: str) -> tuple[bool, str]:
+ """Delete `name` if — and only if — it is a factory-created container no longer active.
+
+ A failed run that leaves its container behind otherwise blocks every later invocation of the
+ same name behind a bare "name already in use", with nothing pointing at how to get unstuck.
+ Reaping automatically is safe exactly when the two checks `remove()` applies interactively both
+ hold: the label confirms the factory created it, and the state confirms it is not doing
+ something a delete could interrupt. A still-running container is deliberately left alone —
+ a name collision can equally mean "you meant to reattach".
+
+ Returns `(reaped, detail)`; `detail` explains the outcome either way, so a caller that could
+ not reap automatically still has something concrete to put in front of the user.
+ """
+ try:
+ runtime = resolve_runtime(name, local_runtimes())
+ except LifecycleError as exc:
+ return False, str(exc)
+ if runtime is None:
+ return False, f"{name} is not a runtime `factory contained` created"
+ if runtime.active:
+ return False, f"{name} is still active (state={runtime.state})"
+ removed = subprocess.run(build_rm_argv(name), capture_output=True, text=True)
+ if removed.returncode != 0:
+ return False, f"removing stale container {name} failed: {removed.stderr.strip()}"
+ log.debug("contained_stale_reaped", name=name, state=runtime.state)
+ return True, f"removed stale container {name} (was {runtime.state})"
+
+
+def workspace_for(name: str) -> Workspace | None:
+ """Reconstruct the `Workspace` `sync`/`rm` need for a named runtime.
+
+ Nothing persists a run-name-to-source-path manifest, so this reconstructs it from the one place
+ `materialize` leaves a record on disk: `contained_home()/<name>/` holds exactly one child
+ directory — the workspace copy, named after the source project. For a git worktree, that copy's
+ `.git` is a pointer file of the form `gitdir: <source>/.git/worktrees/<id>`, which is what lets
+ the source path be recovered without ever having stored it.
+
+ A plain rsync copy (non-git source) carries no such pointer, so for that case there is no way
+ back to the source path from the copy alone, and this returns None. A worktree whose branch
+ cannot be determined also returns None rather than a `Workspace` with an empty branch:
+ `merge_hint` treats a worktree with a falsy branch as a plain copy and prints an rsync merge
+ command for what is actually a git worktree, and wrong guidance is worse than "not found".
+ """
+ root = contained_home() / name
+ if not root.is_dir():
+ return None
+ children = [child for child in root.iterdir() if child.is_dir()]
+ if len(children) != 1:
+ return None
+ path = children[0]
+ git_pointer = path / ".git"
+ if not git_pointer.is_file():
+ return None
+ try:
+ contents = git_pointer.read_text().strip()
+ except OSError:
+ return None
+ if not contents.startswith("gitdir:"):
+ return None
+ worktree_git_dir = Path(contents.split(":", 1)[1].strip())
+ if worktree_git_dir.parent.name != "worktrees":
+ return None
+ source = worktree_git_dir.parent.parent.parent
+ branch_result = subprocess.run(
+ ["git", "-C", str(path), "rev-parse", "--abbrev-ref", "HEAD"],
+ capture_output=True, text=True,
+ )
+ branch = branch_result.stdout.strip() if branch_result.returncode == 0 else ""
+ if not branch:
+ return None
+ return Workspace(source=source, path=path, kind="worktree", branch=branch)
+
+
+def sync(name: str, target: str, namespace: str | None = None) -> int:
+ """Report how to get the workspace back. Nothing is ever merged automatically."""
+ runtimes, _, _ = list_runtimes(target, namespace)
+ runtime = resolve_runtime(name, runtimes)
+ if runtime is None:
+ return _not_ours(name)
+ if runtime.target == "k8s":
+ from factory.contained.k8s import sync_cluster_runtime
+
+ return sync_cluster_runtime(name, namespace=namespace)
+ ws = workspace_for(name)
+ if ws is None:
+ print(
+ f"contained: no local workspace found for {name} under {contained_home()}. The copy "
+ "may have been removed, or the project was not a git repository (no source path is "
+ "recoverable from a plain copy).",
+ file=sys.stderr,
+ )
+ return 1
+ print(f"{name}: the workspace is already on this machine — a bind mount, not a transfer.")
+ print(merge_hint(ws))
+ return 0
+
+
+def dispatch_lifecycle(args: argparse.Namespace) -> int:
+ """Route a parsed `factory contained` lifecycle subcommand to its handler."""
+ name = getattr(args, "name", None)
+ target = getattr(args, "target", "local")
+ namespace = getattr(args, "namespace", None)
+ try:
+ if args.subcommand == "ls":
+ # No target filter: one table covering both, because a user asking "what is running?"
+ # does not want to ask it twice.
+ runtimes, notes, unconfigured = list_runtimes(None, namespace)
+ print(render_table(runtimes, notes, unconfigured))
+ # A target that failed to list is a failure, not an empty fleet — a script wrapping
+ # `ls` must not read a dead engine as "nothing running".
+ return 1 if notes else 0
+ if args.subcommand in ("attach", "rm", "sync"):
+ if not isinstance(name, str):
+ # `interpret()` already enforces this on the real CLI path; this is
+ # belt-and-suspenders for any other caller that constructs args by hand.
+ print(
+ f"contained: `factory contained {args.subcommand}` needs a runtime name.",
+ file=sys.stderr,
+ )
+ return 2
+ if args.subcommand == "attach":
+ return attach(name, target, namespace)
+ if args.subcommand == "rm":
+ return remove(
+ name,
+ target,
+ namespace,
+ assume_yes=bool(getattr(args, "yes", False)),
+ interactive=sys.stdin.isatty(),
+ )
+ return sync(name, target, namespace)
+ except LifecycleError as exc:
+ print(f"contained: {exc}", file=sys.stderr)
+ return 1
+ print(
+ f"contained: `{args.subcommand}` is not implemented yet by lifecycle dispatch.",
+ file=sys.stderr,
+ )
+ return 2
diff --git a/factory/contained/paths.py b/factory/contained/paths.py
new file mode 100644
index 000000000..42ed7f694
--- /dev/null
+++ b/factory/contained/paths.py
@@ -0,0 +1,61 @@
+"""Translating host paths in a passthrough command into their in-runtime equivalents.
+
+The runtime does not share the host's filesystem layout, so a path in the passthrough command may
+name something that does not exist inside. Teaching the host every subcommand's arguments is not an
+option — a passthrough that second-guesses its payload breaks whenever the CLI grows — so one
+generic rule applies instead: an argument that *resolves to an existing host path at or under the
+project root* is translated; everything else is passed through untouched.
+
+A path outside the project root is deliberately left alone. It will not exist in the runtime and the
+command fails inside with a plain "no such file", which is the honest outcome: `--mount` is how such
+a path is made available on purpose.
+
+Locally the rewrite is usually a no-op, because the workspace copy is bind-mounted at its own
+absolute path — identical inside and out. That is not a reason to skip it: the payload
+still names the *original* project path, which is a different directory from the copy, and the k8s
+target rewrites to `/workspace/<name>` where nothing coincides.
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+
+def rewrite_argv(
+ argv: list[str], project: Path, runtime_root: Path | str
+) -> tuple[list[str], list[tuple[str, str]]]:
+ """Rewrite in-project host paths to their runtime equivalents.
+
+ Returns the new argv and the `(before, after)` pairs that changed, which the caller logs at
+ launch so a surprising path in a later error message is traceable.
+ """
+ source = project.expanduser().resolve()
+ target = Path(runtime_root)
+ out: list[str] = []
+ changes: list[tuple[str, str]] = []
+ for token in argv:
+ rewritten = _rewrite_one(token, source, target)
+ if rewritten is None:
+ out.append(token)
+ continue
+ out.append(rewritten)
+ changes.append((token, rewritten))
+ return out, changes
+
+
+def _rewrite_one(token: str, source: Path, target: Path) -> str | None:
+ """Return the translated token, or None when the token is not an in-project path."""
+ if not token or token.startswith("-"):
+ return None
+ try:
+ candidate = Path(token).expanduser().resolve()
+ except (OSError, RuntimeError):
+ # A token that is not a usable path at all — a prompt, a URL, a shell glob.
+ return None
+ if not candidate.exists():
+ return None
+ if candidate != source and source not in candidate.parents:
+ return None
+ relative = candidate.relative_to(source)
+ result = target if relative == Path(".") else target / relative
+ return None if str(result) == token else str(result)
diff --git a/factory/contained/prereq.py b/factory/contained/prereq.py
new file mode 100644
index 000000000..d3d86439a
--- /dev/null
+++ b/factory/contained/prereq.py
@@ -0,0 +1,190 @@
+"""What must be true before a contained run can work, and how to make it true.
+
+Three checks locally: container engine, runtime image, inference.
+
+Every failing check carries the command that resolves it. A check that can detect a problem can
+almost always name its remedy; one that cannot says so explicitly.
+
+Nothing here may raise. `shutil.which` gates every subprocess call and `_run` swallows
+`FileNotFoundError`/`OSError`, because "nothing installed yet" is the normal case this module exists
+to describe, not an error condition — a clean machine must get a list of what is missing, not a
+traceback.
+"""
+
+from __future__ import annotations
+
+import shutil
+import subprocess
+from dataclasses import dataclass
+
+from factory.contained import style
+from factory.contained.credentials import resolve_credentials
+from factory.podman import (
+ build_image_exists_argv,
+ build_info_argv,
+ resolve_image,
+)
+
+
+@dataclass(frozen=True)
+class Check:
+ name: str
+ ok: bool
+ detail: str
+ fix: str | None = None
+
+
+def _run(argv: list[str], *, timeout: int = 60) -> subprocess.CompletedProcess[str] | None:
+ """Run a subprocess, returning None instead of raising when the binary is not on PATH (or
+ otherwise cannot execute). Every check must degrade to `ok=False`, never crash."""
+ try:
+ return subprocess.run(argv, capture_output=True, text=True, timeout=timeout)
+ except (FileNotFoundError, PermissionError, OSError, subprocess.TimeoutExpired):
+ return None
+
+
+def local_checks() -> list[Check]:
+ """The three local prerequisite checks, always the same three, in spec order."""
+ return [_engine_check(), _image_check(), _inference_check()]
+
+
+def _engine_check() -> Check:
+ """Exercise the connection, not merely the binary.
+
+ On macOS this is the common failure: `podman machine start` is required after a reboot and the
+ machine stops quietly, so finding the binary proves nothing. `podman info` is the cheapest call
+ that actually round-trips to the engine.
+ """
+ if shutil.which("podman") is None:
+ return Check(
+ name="container_engine",
+ ok=False,
+ detail="`podman` was not found on PATH",
+ fix="brew install podman && podman machine init && podman machine start",
+ )
+ result = _run(build_info_argv())
+ if result is None or result.returncode != 0:
+ detail = "podman is installed but its engine is not reachable"
+ if result is not None and result.stderr.strip():
+ detail = f"{detail}: {result.stderr.strip().splitlines()[0][:160]}"
+ return Check(
+ name="container_engine",
+ ok=False,
+ detail=detail,
+ fix="podman machine start",
+ )
+ return Check(
+ name="container_engine",
+ ok=True,
+ detail=f"podman reachable ({_engine_summary()})",
+ )
+
+
+def _engine_summary() -> str:
+ result = _run(["podman", "version", "--format", "{{.Client.Version}}"])
+ version = result.stdout.strip() if result and result.returncode == 0 else "version unknown"
+ rootless = _run(["podman", "info", "--format", "{{.Host.Security.Rootless}}"])
+ mode = "rootless" if rootless and rootless.stdout.strip() == "true" else "rootful"
+ return f"{version}, {mode}"
+
+
+def _image_check() -> Check:
+ reference = resolve_image()
+ result = _run(build_image_exists_argv(reference))
+ ok = result is not None and result.returncode == 0
+ return Check(
+ name="runtime_image",
+ ok=ok,
+ detail=(
+ f"{reference} present locally"
+ if ok
+ else f"{reference} is not present locally"
+ ),
+ fix=(
+ None if ok else
+ f"factory contained setup # pulls {reference}\n"
+ f" or, if it is not published yet, point at one you have:\n"
+ f" export FACTORY_CONTAINED_IMAGE=<your-image>"
+ ),
+ )
+
+
+def _inference_check() -> Check:
+ """Report the resolved credential *shape* — never material.
+
+ Which backend, which model, which variable or file supplied it. A check whose purpose is
+ configuration must not become a way to print a key.
+ """
+ shape = resolve_credentials()
+ return Check(name="inference", ok=shape.ok, detail=shape.detail, fix=shape.fix)
+
+
+# Checks that `setup` can actually repair. Offering `setup` for anything else sends the user to a
+# command that will report the same failure — a loop with no exit.
+SETUP_CAN_FIX = frozenset({"container_engine", "runtime_image"})
+
+
+def format_check(check: Check) -> str:
+ """One check's result, as it is printed.
+
+ Separate from `render_checks` so a caller can print each result *as it lands*. Some of these
+ take minutes — the in-cluster inference probe launches a pod and waits on it — and a run that
+ prints nothing until the last one finishes is indistinguishable from a hang.
+ """
+ mark = style.ok_mark() if check.ok else style.fail_mark()
+ lines = [f"{mark} {style.bold(check.name)}: {check.detail}"]
+ if not check.ok and check.fix:
+ lines.append(f" {style.paint('fix:', 'yellow')} {check.fix}")
+ return "\n".join(lines)
+
+
+def summary_line(
+ checks: list[Check],
+ *,
+ ready_command: str | None = None,
+ setup_command: str | None = "factory contained setup",
+) -> str:
+ """The one-line verdict that follows the results. See `render_checks` for the whole block."""
+ return _summary(checks, ready_command=ready_command, setup_command=setup_command)
+
+
+def render_checks(
+ checks: list[Check],
+ *,
+ ready_command: str | None = None,
+ setup_command: str | None = "factory contained setup",
+) -> str:
+ """Render the checks, then say what to do next — and only what will work.
+
+ `setup_command` is None when the caller *is* setup: telling someone to run the command that just
+ failed is worse than saying nothing.
+ """
+ lines = [format_check(check) for check in checks]
+ lines.append("")
+ lines.append(_summary(checks, ready_command=ready_command, setup_command=setup_command))
+ return "\n".join(lines)
+
+
+def _summary(
+ checks: list[Check], *, ready_command: str | None, setup_command: str | None
+) -> str:
+ lines: list[str] = []
+ failures = [c for c in checks if not c.ok]
+ if not failures:
+ ready = ready_command or "factory contained -- ceo <path>"
+ lines.append(
+ style.paint("All checks passed.", "bold", "green")
+ + f" Start a run with `{style.bold(ready)}`."
+ )
+ return "\n".join(lines)
+
+ count = style.paint(f"{len(failures)} check(s) failed.", "bold", "red")
+ repairable = [c.name for c in failures if c.name in SETUP_CAN_FIX]
+ if setup_command and repairable:
+ lines.append(
+ f"{count} `{style.bold(setup_command)}` can fix "
+ f"{', '.join(repairable)}; the rest need the fix shown above each one."
+ )
+ else:
+ lines.append(f"{count} Each one shows the command that fixes it above.")
+ return "\n".join(lines)
diff --git a/factory/contained/provenance.py b/factory/contained/provenance.py
new file mode 100644
index 000000000..76d4e5cf7
--- /dev/null
+++ b/factory/contained/provenance.py
@@ -0,0 +1,144 @@
+"""Proving the runtime is about to read the files we think it is.
+
+A workspace can be missing, empty, stale, or read-only, and all four look identical until something
+is asserted. Each of these failures is silent: the run starts, the agent works on the wrong files,
+and the result looks plausible. So they are checked between provisioning and the first agent call,
+where a failure costs nothing.
+
+The probes are composed here and executed by the caller, so the same list can be wrapped in
+`podman exec` locally or `oc exec` in a pod.
+"""
+
+from __future__ import annotations
+
+import hashlib
+from dataclasses import dataclass, field
+from pathlib import Path
+
+_HASH_CHUNK = 1 << 20
+_SKIP_DIRS = {".git", "node_modules", "__pycache__", ".venv"}
+
+
+@dataclass(frozen=True)
+class Probe:
+ """One assertion, as a command to run inside the runtime plus what a failure means."""
+
+ name: str
+ argv: list[str] = field(default_factory=list)
+ hint: str = ""
+
+
+def content_probe(root: Path) -> tuple[str, str] | None:
+ """Pick a file whose content proves the transfer, and hash it.
+
+ The largest regular file outside `.git/` — deterministic, and large files are the ones a
+ truncated or partial transfer mangles. Returns None when there is nothing to hash, in which
+ case the check is skipped rather than faked.
+ """
+ best: tuple[int, Path] | None = None
+ for path in root.rglob("*"):
+ if not path.is_file() or path.is_symlink():
+ continue
+ if _SKIP_DIRS & set(path.relative_to(root).parts):
+ continue
+ size = path.stat().st_size
+ if best is None or size > best[0]:
+ best = (size, path)
+ if best is None:
+ return None
+ digest = hashlib.sha256()
+ with best[1].open("rb") as handle:
+ while chunk := handle.read(_HASH_CHUNK):
+ digest.update(chunk)
+ return str(best[1].relative_to(root)), digest.hexdigest()
+
+
+def provenance_probes(
+ runtime_path: str,
+ *,
+ expect_factory_state: bool,
+ expect_git: bool,
+ content: tuple[str, str] | None,
+) -> list[Probe]:
+ """The assertions to run after the workspace is in place and before the factory starts.
+
+ Each hint states the cause first and then what to do about it. The reason the check exists is
+ interesting to whoever maintains this and useless to whoever hit it: the reader wants to know
+ what to change.
+ """
+ probes = [
+ Probe(
+ name="project_present",
+ argv=["sh", "-lc", f'[ -d "{runtime_path}" ] && [ -n "$(ls -A "{runtime_path}")" ]'],
+ hint=(
+ f"The project directory is empty inside the runtime ({runtime_path}).\n"
+ " On macOS this usually means the path is outside your home directory, which the "
+ "podman machine does not share by default.\n"
+ " Try: move the project under your home directory, or add its path with "
+ "`podman machine set --volume` and restart the machine."
+ ),
+ ),
+ ]
+ if expect_git:
+ probes.append(
+ Probe(
+ name="git_usable",
+ argv=["sh", "-lc", f'git -C "{runtime_path}" status --porcelain >/dev/null 2>&1'],
+ hint=(
+ "The workspace is not a usable git repository inside the runtime.\n"
+ " Most likely the repository this project belongs to was not mounted — a git "
+ "worktree's .git is a file pointing at a directory elsewhere.\n"
+ " Try: factory contained --mount <path-to-that-repository> -- <your command>"
+ ),
+ )
+ )
+ if expect_factory_state:
+ probes.append(
+ Probe(
+ name="factory_state",
+ argv=["test", "-f", f"{runtime_path}/.factory/config.json"],
+ hint=(
+ ".factory/config.json did not reach the runtime, though this project has one.\n"
+ " Without it the run starts as though the project were brand new, and its "
+ "history and scores are not available to it.\n"
+ " Try: check that .factory/ exists and is readable in the project directory."
+ ),
+ )
+ )
+ probes.append(
+ Probe(
+ name="writable",
+ # Written and removed rather than `test -w`: the mode bits can say writable while the
+ # mount is read-only in practice, which is the failure this exists to catch.
+ argv=[
+ "sh", "-lc",
+ f'touch "{runtime_path}/.factory-write-probe" && '
+ f'rm -f "{runtime_path}/.factory-write-probe"',
+ ],
+ hint=(
+ "The workspace is read-only inside the runtime, so the agent's edits would be "
+ "silently discarded.\n"
+ " The container runs as a user that does not own these files.\n"
+ " Try: `factory contained verify` to check the runtime image, and make sure the "
+ "project is owned by you."
+ ),
+ )
+ )
+ if content is not None:
+ relative, digest = content
+ probes.append(
+ Probe(
+ name="content_hash",
+ argv=[
+ "sh", "-lc",
+ f'sha256sum "{runtime_path}/{relative}" 2>/dev/null | grep -q "^{digest} "',
+ ],
+ hint=(
+ f"{relative} inside the runtime does not match the copy on this machine, so the "
+ "run would work on the wrong files.\n"
+ " The path is there but its contents differ — a stale or partial copy.\n"
+ f" Try: factory contained rm <name>, then run again to rebuild the workspace."
+ ),
+ )
+ )
+ return probes
diff --git a/factory/contained/runtimes.py b/factory/contained/runtimes.py
new file mode 100644
index 000000000..76642c74f
--- /dev/null
+++ b/factory/contained/runtimes.py
@@ -0,0 +1,45 @@
+"""The runtime record — one shape for a podman container and for a cluster pod.
+
+This lives apart from `lifecycle` because both sides of the boundary need it and neither is
+below the other: `lifecycle` builds these records from podman and `k8s` builds them from the
+cluster, while `lifecycle` in turn asks `k8s` for the cluster half of `ls`. Holding the type in
+either module makes that mutual, and the import then has to be deferred into a function body to
+survive — a workaround that hides a genuinely circular dependency rather than removing it.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import datetime
+
+# States in which nothing a delete could interrupt is still happening. Anything else — including a
+# state we have never seen, or a blank one — is treated as active, which is the safe default for a
+# check that guards a destructive operation.
+# "finished" is this tool's own word, not an engine's: `lifecycle._run_state` reports it for a
+# container that is still up while every pane in its tmux session is dead — the run is over. Since
+# the container is *designed* to outlive its run (`--init` around `sleep infinity`), that is what a
+# completed local run looks like essentially always; "exited" is the rare case. Leaving it out made
+# `reap_stale` refuse the very containers it exists to reap, and made `rm` ask "still active
+# (state=finished). Delete anyway?" about the one state where deleting is unambiguously safe.
+_INACTIVE_STATES = frozenset({"exited", "stopped", "created", "dead", "removing", "succeeded",
+ "failed", "terminated", "error", "completed", "finished"})
+
+
+@dataclass(frozen=True)
+class Runtime:
+ """One factory-created runtime, normalized across podman containers and cluster pods."""
+
+ name: str
+ target: str
+ project: str
+ state: str
+ created: datetime | None = None
+ source: str | None = None
+
+ @property
+ def active(self) -> bool:
+ return self.state.strip().lower() not in _INACTIVE_STATES
+
+
+class LifecycleError(RuntimeError):
+ """Listing or acting on a runtime failed in a way the caller should report."""
diff --git a/factory/contained/secrets.py b/factory/contained/secrets.py
new file mode 100644
index 000000000..8a2fe3d94
--- /dev/null
+++ b/factory/contained/secrets.py
@@ -0,0 +1,184 @@
+"""Scanning a workspace for secrets before it leaves the machine.
+
+The k8s path copies a developer's working tree onto cluster storage, and a `.env` or a stray key
+file goes with it. [Gitleaks](https://github.com/gitleaks/gitleaks) runs over the packed tree —
+regex-based, fully offline, no network calls, which matters for a step whose whole purpose is
+preventing exposure.
+
+**Warn and confirm, not block.** A false positive on a test fixture must not stop work, because an
+override people use reflexively protects nobody. `--yes` skips the prompt for automation and is
+recorded in the run's evidence. When gitleaks is absent, `verify` says so and the upload warns that
+it is unscanned rather than silently proceeding.
+
+Not applied to the local target: nothing leaves the machine there, and a confirmation prompt people
+learn to dismiss on every local run devalues the one that matters.
+"""
+
+from __future__ import annotations
+
+import json
+import shutil
+import subprocess
+import sys
+import tempfile
+from dataclasses import dataclass
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+GITLEAKS = "gitleaks"
+
+
+@dataclass(frozen=True)
+class Finding:
+ """One secret gitleaks believes it found, located precisely enough to check by hand."""
+
+ file: str
+ line: int
+ rule: str
+ description: str
+
+
+@dataclass(frozen=True)
+class ScanResult:
+ scanned: bool
+ findings: tuple[Finding, ...] = ()
+ detail: str = ""
+
+
+def gitleaks_available() -> bool:
+ return shutil.which(GITLEAKS) is not None
+
+
+# gitleaks' own convention: 0 clean, this on findings, anything else means the scanner itself
+# failed. Named rather than repeated as a literal, because `scan()` has to tell "found secrets"
+# apart from "could not look" and the two used to collapse into one.
+LEAK_EXIT_CODE = 2
+
+
+def build_scan_argv(path: Path, report: Path) -> list[str]:
+ """`gitleaks dir` — the working tree as it will be packed, not the git history.
+
+ History is not what is being uploaded, and scanning it turns a five-second check into a
+ minutes-long one that reports secrets already published, which is a different problem.
+ `--no-banner` keeps the report readable; the exit code carries the answer.
+ """
+ return [
+ GITLEAKS, "dir", str(path),
+ "--report-format", "json", "--report-path", str(report),
+ "--no-banner", "--exit-code", str(LEAK_EXIT_CODE),
+ ]
+
+
+def scan(path: Path) -> ScanResult:
+ """Scan a directory. Never raises: an unscannable tree is a warning, not a failure."""
+ if not gitleaks_available():
+ return ScanResult(
+ scanned=False,
+ detail=(
+ "gitleaks is not installed, so the workspace is being uploaded UNSCANNED. Install "
+ "it (`brew install gitleaks`) to have this checked."
+ ),
+ )
+ with tempfile.TemporaryDirectory() as tmp:
+ report = Path(tmp) / "gitleaks.json"
+ try:
+ result = subprocess.run(
+ build_scan_argv(path, report), capture_output=True, text=True, timeout=600
+ )
+ except (OSError, subprocess.TimeoutExpired) as exc:
+ return ScanResult(scanned=False, detail=f"gitleaks could not be run: {exc}")
+ # The exit code carries the answer, and discarding it turned every *failure* into a clean
+ # bill of health: gitleaks writes a report only when it finds something, so a run that
+ # errored (bad flag, unreadable tree, wrong version) left no report and was read as "no
+ # secrets found" — the workspace then uploaded claiming it had been scanned, which is the
+ # one outcome this module exists to prevent. 0 is clean, LEAK_EXIT_CODE is findings,
+ # anything else is the scanner failing and must be reported as unscanned.
+ if result.returncode not in (0, LEAK_EXIT_CODE):
+ detail = (result.stderr or "").strip().splitlines()
+ return ScanResult(
+ scanned=False,
+ detail=(
+ "gitleaks failed, so the workspace is being uploaded UNSCANNED"
+ + (f": {detail[-1][:160]}" if detail else f" (exit {result.returncode})")
+ ),
+ )
+ if not report.exists():
+ return ScanResult(scanned=True, detail="no secrets found")
+ try:
+ payload = json.loads(report.read_text() or "[]")
+ except json.JSONDecodeError:
+ return ScanResult(scanned=False, detail="gitleaks produced a report that isn't JSON")
+
+ findings = tuple(
+ Finding(
+ # Relative to the workspace root, not the absolute path of the *copy*. The copy is an
+ # implementation detail under ~/.factory-contained; a user told to fix
+ # `.factory-contained/<run>/<project>/.env` goes and edits a file that is regenerated on the
+ # next run, while the real one keeps being uploaded.
+ file=_relative(str(item.get("File", "?")), path),
+ line=int(item.get("StartLine", 0) or 0),
+ rule=str(item.get("RuleID", "?")),
+ description=str(item.get("Description", "")),
+ )
+ for item in payload
+ if isinstance(item, dict)
+ )
+ return ScanResult(
+ scanned=True,
+ findings=findings,
+ detail="no secrets found" if not findings else f"{len(findings)} finding(s)",
+ )
+
+
+def _relative(reported: str, root: Path) -> str:
+ try:
+ return str(Path(reported).resolve().relative_to(root.resolve()))
+ except (ValueError, OSError):
+ return reported
+
+
+def render_findings(result: ScanResult) -> str:
+ lines = [f"gitleaks: {result.detail}"]
+ for finding in result.findings:
+ lines.append(f" {finding.file}:{finding.line} [{finding.rule}] {finding.description}")
+ return "\n".join(lines)
+
+
+def confirm_upload(
+ result: ScanResult, *, assume_yes: bool, interactive: bool | None = None
+) -> bool:
+ """Ask before uploading a tree gitleaks flagged. Returns whether to proceed.
+
+ An unscanned tree warns and proceeds — the absence of a scanner is not evidence of a secret, and
+ refusing to run without an optional tool would make it mandatory by the back door.
+ """
+ if not result.scanned:
+ print(f"Warning: {result.detail}", file=sys.stderr)
+ return True
+ if not result.findings:
+ return True
+
+ print(render_findings(result), file=sys.stderr)
+ print(
+ "\nThis workspace is about to be copied onto cluster storage. Anything above goes with it.",
+ file=sys.stderr,
+ )
+ if assume_yes:
+ log.warning("secret_scan_overridden", findings=len(result.findings), reason="--yes")
+ print("Proceeding anyway: --yes was given.", file=sys.stderr)
+ return True
+ is_interactive = sys.stdin.isatty() if interactive is None else interactive
+ if not is_interactive:
+ print(
+ "Refusing to upload without confirmation. Re-run with --yes to proceed "
+ "non-interactively.",
+ file=sys.stderr,
+ )
+ return False
+ answer = input("Upload anyway? [y/N] ")
+ proceed = answer.strip().lower() in ("y", "yes")
+ log.info("secret_scan_decision", findings=len(result.findings), proceed=proceed)
+ return proceed
diff --git a/factory/contained/setup.py b/factory/contained/setup.py
new file mode 100644
index 000000000..f9eec03e6
--- /dev/null
+++ b/factory/contained/setup.py
@@ -0,0 +1,171 @@
+"""Getting a machine (or a namespace) ready to run `factory contained`, in one pass.
+
+`verify` reports; `setup` fixes. It ends in exactly one of two states — everything green with a
+runnable command printed, or the full list of what is still missing with the command for each.
+Never in between.
+
+Two properties make it safe to run at any time:
+
+- **Idempotent.** Re-running changes nothing that is already correct, so it is also the supported
+ way to repair a partial setup and nothing needs to be torn down first.
+- **Nothing silent.** Every step announces what it will do before doing it, and steps that touch
+ credentials or a cluster ask first.
+
+What is automated locally is deliberately narrow: starting a stopped podman machine and pulling the
+runtime image. Inference is never automated — it is the one step that touches credential material,
+so it is described and left to the user.
+"""
+
+from __future__ import annotations
+
+import subprocess
+import sys
+
+import structlog
+
+from factory.contained import style
+from factory.contained.prereq import local_checks, render_checks
+from factory.podman import build_pull_argv, resolve_image
+
+log = structlog.get_logger()
+
+# The local half has three steps, and it says so up front. A wizard that prints an unlabelled wall
+# of lines gives the reader no way to tell "still working" from "finished" — numbering each step is
+# what turns the same information into progress.
+_LOCAL_STEPS = 3
+
+
+def run_setup(
+ target: str | None,
+ *,
+ interactive: bool,
+ namespace: str | None = None,
+ division: bool = False,
+ assume_yes: bool = False,
+) -> int:
+ """Run setup for one target, or ask which when not told."""
+ if target is None and interactive:
+ target = _ask_target()
+
+ from factory.contained.usage import record_target
+
+ code = 0
+ if target in (None, "local", "both"):
+ record_target("local")
+ if target == "both":
+ print(style.section("Local runtime"))
+ _setup_local()
+ print(style.section("Result", step=_LOCAL_STEPS, total=_LOCAL_STEPS))
+ checks = local_checks()
+ print(render_checks(checks, setup_command=None))
+ code = 0 if all(c.ok for c in checks) else 1
+
+ if target in ("k8s", "both"):
+ record_target("k8s")
+ if target == "both":
+ print(style.section("Cluster runtime"))
+ from factory.contained.k8s_setup import setup_k8s
+
+ k8s_code = setup_k8s(
+ namespace=namespace,
+ division=division,
+ interactive=interactive,
+ assume_yes=assume_yes,
+ )
+ code = code or k8s_code
+
+ return code
+
+
+def _ask_target() -> str:
+ print(style.section("What are you setting up?"))
+ print(style.note("Pass --target local or --target k8s to skip this question."))
+ print()
+ print(
+ f" {style.bold('1')}) {style.paint('local', 'cyan')} a podman container on this machine"
+ )
+ print(f" {style.bold('2')}) {style.paint('k8s', 'cyan')} a pod on a cluster")
+ print(f" {style.bold('3')}) {style.paint('both', 'cyan')}")
+ print()
+ try:
+ choice = input(style.prompt("Choice", "1")).strip() or "1"
+ except EOFError:
+ # stdin closed before an answer arrived — a pipe, a CI job, or `< /dev/null`. The default
+ # is the documented one; an unanswered prompt must not become a bare `Error:`.
+ print("\nNo answer given; setting up the local runtime (the default).")
+ return "local"
+ return {"1": "local", "2": "k8s", "3": "both"}.get(choice, "local")
+
+
+def _setup_local() -> None:
+ """Perform the local steps that are safe to automate; describe the ones that are not.
+
+ Every branch announces before acting. The trailing `local_checks()`/`render_checks()` in
+ `run_setup` is what reports the outcome, including for the cases handled here — so nothing in
+ this function needs its own second, weaker copy of a check's message.
+ """
+ print(style.section("Container engine", step=1, total=_LOCAL_STEPS))
+ engine = next((c for c in local_checks() if c.name == "container_engine"), None)
+ if engine is not None and not engine.ok:
+ _start_machine()
+ else:
+ print(style.note("podman is reachable; nothing to do."))
+
+ print(style.section("Runtime image", step=2, total=_LOCAL_STEPS))
+ image = resolve_image()
+ if _image_present(image):
+ print(style.line(style.dim(f"Image already present: {image}")))
+ else:
+ print(style.line(f"Pulling {style.value(image)}"))
+ print(style.note("This takes a few minutes on a cold cache."))
+ result = subprocess.run(build_pull_argv(image))
+ if result.returncode != 0:
+ print(
+ f"\nCould not pull {image}.\n"
+ "That usually means the image is not published yet, or the registry needs a login "
+ "(`podman login ghcr.io`).\n"
+ "\n"
+ "Either way you have two options:\n"
+ " 1. Use an image you already have:\n"
+ " export FACTORY_CONTAINED_IMAGE=<your-image-reference>\n"
+ " 2. Build one from a checkout of this repository:\n"
+ " git clone https://github.com/akashgit/remote-factory\n"
+ " cd remote-factory\n"
+ f" podman build -f containers/factory/Containerfile -t {image} .\n"
+ " (the Containerfile ships in the git repository, not in the installed "
+ "package)",
+ file=sys.stderr,
+ )
+
+
+def _image_present(reference: str) -> bool:
+ from factory.podman import build_image_exists_argv
+
+ try:
+ return (
+ subprocess.run(build_image_exists_argv(reference), capture_output=True).returncode == 0
+ )
+ except (FileNotFoundError, PermissionError, OSError):
+ return False
+
+
+def _start_machine() -> None:
+ """Start a stopped podman machine, announcing first.
+
+ Automated because it mutates nothing durable and because on macOS it is the single most common
+ reason a contained run fails — the machine stops quietly and every later error blames podman.
+ """
+ try:
+ listed = subprocess.run(
+ ["podman", "machine", "list", "--format", "{{.Name}}"],
+ capture_output=True,
+ text=True,
+ )
+ except (FileNotFoundError, PermissionError, OSError):
+ return
+ if listed.returncode != 0 or not listed.stdout.strip():
+ # `line`, not `note`: this carries a command, and a wrapped command cannot be copied.
+ print(style.line("No podman machine found. Create one with: podman machine init"))
+ return
+ print(style.note("The podman engine is not reachable. Starting the podman machine..."))
+ subprocess.run(["podman", "machine", "start"])
diff --git a/factory/contained/style.py b/factory/contained/style.py
new file mode 100644
index 000000000..9f7c667dc
--- /dev/null
+++ b/factory/contained/style.py
@@ -0,0 +1,384 @@
+"""Terminal styling for the parts of `contained` a person reads while deciding something.
+
+Colour is used for **navigation**, not decoration: which step of a wizard you are on, whether a
+check passed, and — the one that caused real confusion — which word in a sentence is a value you
+chose rather than prose. "namespace default" reads as an adjective; `namespace 'default'` in cyan
+reads as a name.
+
+Everything degrades to plain text. `enabled()` is consulted at render time rather than at import,
+because the same functions serve a terminal and a pipe in the same process, and a string built for
+a TTY that then lands in a log file carries escape codes into it.
+
+Precedence follows the conventions people already have configured:
+`NO_COLOR` (any value, https://no-color.org) beats `FORCE_COLOR`, which beats TTY detection.
+"""
+
+from __future__ import annotations
+
+import os
+import shutil
+import sys
+import textwrap
+from typing import Any, TextIO
+
+_RESET = "\033[0m"
+_CODES = {
+ "bold": "1",
+ "dim": "2",
+ "red": "31",
+ "green": "32",
+ "yellow": "33",
+ "blue": "34",
+ "magenta": "35",
+ "cyan": "36",
+}
+
+# Wide enough for the longest fix line the checks emit, narrow enough to survive a split pane.
+_MAX_WIDTH = 78
+
+
+def enabled(stream: TextIO | None = None) -> bool:
+ """Whether to emit escape codes to `stream` (stdout by default)."""
+ target = stream if stream is not None else sys.stdout
+ if os.environ.get("NO_COLOR"):
+ return False
+ if os.environ.get("FORCE_COLOR"):
+ return True
+ if os.environ.get("TERM", "").strip().lower() == "dumb":
+ return False
+ try:
+ return bool(target.isatty())
+ except (AttributeError, ValueError):
+ # A closed or exotic stream is not a terminal, and asking must not raise inside output code.
+ return False
+
+
+def paint(text: str, *styles: str, stream: TextIO | None = None) -> str:
+ """Wrap `text` in the named styles, or return it unchanged when colour is off."""
+ if not styles or not enabled(stream):
+ return text
+ prefix = "".join(f"\033[{_CODES[s]}m" for s in styles if s in _CODES)
+ return f"{prefix}{text}{_RESET}" if prefix else text
+
+
+def bold(text: str, stream: TextIO | None = None) -> str:
+ return paint(text, "bold", stream=stream)
+
+
+def dim(text: str, stream: TextIO | None = None) -> str:
+ return paint(text, "dim", stream=stream)
+
+
+def value(text: str, stream: TextIO | None = None) -> str:
+ """A value the user chose or the tool resolved — a namespace, a name, an image reference.
+
+ Quoted as well as coloured. The quotes are what make it unambiguous where colour is unavailable,
+ which is the case this exists for: "in namespace default" cannot be read without them.
+ """
+ return paint(f"'{text}'", "bold", "cyan", stream=stream)
+
+
+def ok_mark(stream: TextIO | None = None) -> str:
+ return paint("[ ok ]", "green", stream=stream)
+
+
+def fail_mark(stream: TextIO | None = None) -> str:
+ return paint("[FAIL]", "bold", "red", stream=stream)
+
+
+def _width() -> int:
+ return min(shutil.get_terminal_size(fallback=(80, 24)).columns, _MAX_WIDTH)
+
+
+def section(title: str, *, step: int | None = None, total: int | None = None,
+ stream: TextIO | None = None) -> str:
+ """A wizard step header: a rule, the step's position, and what it is about.
+
+ Steps are numbered because a setup that prints ten lines with no structure gives the reader no
+ way to tell "still working" from "finished" — the complaint that prompted this.
+ """
+ label = f"{step}/{total} {title}" if step is not None and total is not None else title
+ if not enabled(stream):
+ return f"\n-- {label} " + "-" * max(0, _width() - len(label) - 4)
+ filled = _width() - len(label) - 4
+ return (
+ "\n"
+ + paint(f"━━ {label} ", "bold", "cyan", stream=stream)
+ + paint("━" * max(0, filled), "cyan", stream=stream)
+ )
+
+
+def subsection(title: str, *, step: int, total: int, stream: TextIO | None = None) -> str:
+ """A header for one item *inside* a step, drawn lighter so the nesting is visible.
+
+ A walk through four objects inside step 2 of 4 would otherwise print its own `1/4`…`4/4`
+ directly under the wizard's, and the two numberings are unrelated. A single-weight rule and the
+ spelled-out "1 of 4" keep them apart at a glance.
+ """
+ label = f"{step} of {total} · {title}"
+ if not enabled(stream):
+ return f"\n-- {label} " + "-" * max(0, _width() - len(label) - 4)
+ return (
+ "\n"
+ + paint(f"── {label} ", "cyan", stream=stream)
+ + paint("─" * max(0, _width() - len(label) - 4), "dim", stream=stream)
+ )
+
+
+def note(text: str, stream: TextIO | None = None) -> str:
+ """Indented supporting detail under a step header, wrapped to the terminal.
+
+ Dim, so it reads as secondary to the step title — which means it must not contain styled
+ fragments of its own: a nested `value()` ends with a reset, and everything after it on the line
+ silently stops being dim. Use `line()` for detail that has to highlight something.
+ """
+ return "\n".join(
+ f" {dim(chunk, stream=stream)}"
+ for chunk in textwrap.wrap(text, width=_width() - 3) or [""]
+ )
+
+
+def field(label: str, rendered_value: str, *, pad: int = 10, stream: TextIO | None = None) -> str:
+ """One aligned `Label: value` row, for the facts a user checks before saying yes.
+
+ The label is dim and the value is not, so a column of these reads as values with labels rather
+ than as prose. `rendered_value` is passed through untouched — the caller has already decided
+ whether it is a `value()`, a URL, or plain text.
+ """
+ return f" {dim(f'{label}:'.ljust(pad), stream=stream)} {rendered_value}"
+
+
+def line(text: str) -> str:
+ """Indented detail that carries its own styling — a `value()`, a command, a path.
+
+ Not wrapped: the things that go here are values and commands, and a wrapped command cannot be
+ copied. Not dimmed either, for the reason in `note`.
+ """
+ return f" {text}"
+
+
+ESCAPE = "\x1b"
+"""What `read_key` returns for a bare Escape, and what a text prompt looks for in a typed line."""
+
+# How long to wait for the rest of an escape sequence before concluding the key was a bare Escape.
+# Arrow keys and function keys arrive as ESC followed immediately by more bytes; a person pressing
+# Escape produces one byte and nothing after it. 50ms is far longer than a local terminal needs to
+# deliver the remainder and far shorter than anyone can press two keys.
+_ESCAPE_SEQUENCE_WINDOW = 0.05
+
+
+def is_escape(text: str) -> bool:
+ """Whether a typed line was just Escape (possibly repeated), with nothing else on it.
+
+ Line-buffered prompts cannot see Escape as a key — it arrives as a character in the line, which
+ is why pressing it looks like `^[` and does nothing. A line that contains only escape
+ characters was somebody trying to back out.
+ """
+ stripped = text.strip()
+ return bool(stripped) and set(stripped) <= {ESCAPE, "[", "\x00"} and ESCAPE in stripped
+
+
+def _raw_session(target: TextIO) -> tuple[int, Any] | None:
+ """The file descriptor and saved terminal settings, or None when raw reading is impossible.
+
+ Impossible means: not a terminal at either end, not POSIX, or a descriptor `termios` refuses.
+ Every caller treats `None` as "fall back to `input()`" rather than as a failure.
+ """
+ try:
+ if not (sys.stdin.isatty() and target.isatty()):
+ return None
+ except (AttributeError, ValueError):
+ return None
+ try:
+ import termios
+ except ImportError: # non-POSIX
+ return None
+ try:
+ descriptor = sys.stdin.fileno()
+ return descriptor, termios.tcgetattr(descriptor)
+ except (termios.error, ValueError, OSError, AttributeError):
+ return None
+
+
+def _drain_escape_sequence(descriptor: int) -> bool:
+ """True when bytes followed the Escape — i.e. it was a navigation key, not a cancel."""
+ import select
+
+ if not select.select([descriptor], [], [], _ESCAPE_SEQUENCE_WINDOW)[0]:
+ return False
+ while select.select([descriptor], [], [], 0)[0]:
+ sys.stdin.read(1)
+ return True
+
+
+def read_key(question: str, stream: TextIO | None = None) -> str | None:
+ """Read a single keypress, without waiting for Enter. `None` if the terminal cannot do it.
+
+ Returns the character pressed, `ESCAPE` for a bare Escape, `"\\r"` for Enter, or `""` for a key
+ that should be ignored (an arrow key, which arrives as an escape *sequence*). `None` means the
+ caller should fall back to `input()` — not a terminal, not POSIX, or stdin is a pipe.
+
+ Ctrl-C still interrupts: `cbreak` leaves signal generation on, clearing only line buffering and
+ echo. The terminal is always restored, including when the caller is interrupted mid-read.
+ """
+ target = stream if stream is not None else sys.stdout
+ session = _raw_session(target)
+ if session is None:
+ return None
+ descriptor, original = session
+
+ import termios
+ import tty
+
+ target.write(question)
+ target.flush()
+ try:
+ tty.setcbreak(descriptor)
+ char = sys.stdin.read(1)
+ if char == ESCAPE:
+ return "" if _drain_escape_sequence(descriptor) else ESCAPE
+ return char
+ except (OSError, ValueError):
+ return None
+ finally:
+ termios.tcsetattr(descriptor, termios.TCSADRAIN, original)
+ target.write("\n")
+ target.flush()
+
+
+# Keys the little line editor below has to handle itself, because cbreak turns off the line
+# discipline that would otherwise do it.
+_BACKSPACE = ("\x7f", "\x08")
+_END_OF_TRANSMISSION = "\x04"
+
+
+def read_line(
+ question: str, default: str | None = None, stream: TextIO | None = None
+) -> str | None:
+ """Read a typed line where **Escape cancels the moment it is pressed**. `None` means cancelled.
+
+ `input()` cannot do this. It is line-buffered, so Escape is delivered as a character in the
+ line — which is why pressing it shows `^[` and nothing happens until Enter. Getting a cancel
+ key to behave like one means reading characters as they arrive, which means echoing and
+ handling Backspace here, since cbreak turns off the line discipline that normally does both.
+
+ Falls back to `input()` where raw reading is impossible; there Escape is still recognised, but
+ only once the line is submitted, because that is genuinely all a line-buffered prompt can see.
+ """
+ target = stream if stream is not None else sys.stdout
+ rendered = prompt(question, default, stream=target)
+ session = _raw_session(target)
+ if session is None:
+ try:
+ typed = input(rendered)
+ except (EOFError, OSError):
+ # OSError, not just EOFError: a captured or closed stdin raises that instead. Both mean
+ # nobody is there to answer, and both have to cancel rather than raise.
+ print()
+ return None
+ return None if is_escape(typed) else typed.strip()
+
+ descriptor, original = session
+
+ import termios
+ import tty
+
+ target.write(rendered)
+ target.flush()
+ try:
+ tty.setcbreak(descriptor)
+ return _edit_line(descriptor, target)
+ except (OSError, ValueError):
+ return None
+ finally:
+ termios.tcsetattr(descriptor, termios.TCSADRAIN, original)
+ target.write("\n")
+ target.flush()
+
+
+def _edit_line(descriptor: int, target: TextIO) -> str | None:
+ """The line editor itself, on a terminal already in cbreak mode. `None` means cancelled.
+
+ Small on purpose, and it echoes as it goes: cbreak turns off the line discipline that normally
+ provides echo and Backspace, so anything it does not handle here is a key that appears to do
+ nothing. The caller owns putting the terminal into cbreak and restoring it — this function only
+ reads, and must not be called on a terminal that is still line-buffered.
+ """
+ typed_chars: list[str] = []
+ while True:
+ char = sys.stdin.read(1)
+ if char == ESCAPE:
+ if _drain_escape_sequence(descriptor):
+ continue # an arrow key: not a cancel, and not text either
+ return None
+ if char in ("\r", "\n"):
+ return "".join(typed_chars).strip()
+ if char in _BACKSPACE:
+ if typed_chars:
+ typed_chars.pop()
+ target.write("\b \b") # move back, erase, move back again
+ target.flush()
+ continue
+ if char in ("", _END_OF_TRANSMISSION):
+ # Ctrl-D: end of input on an empty line, otherwise ignored as it would be in a shell.
+ if not typed_chars:
+ return None
+ continue
+ if char.isprintable():
+ typed_chars.append(char)
+ target.write(char)
+ target.flush()
+
+
+def choice(letter: str, rest: str, stream: TextIO | None = None) -> str:
+ """One option in a multiple-choice prompt, as `[y]es` — the key to press, and what it does.
+
+ A bare `[y/n/a/q]` is only readable to whoever wrote it. Spelling the word out while marking
+ the letter costs one line and removes the guessing.
+ """
+ return paint(f"[{letter}]", "bold", "cyan", stream=stream) + rest
+
+
+def confirm(question: str, *, default: bool = False, stream: TextIO | None = None) -> bool | None:
+ """A yes/no question with the keys spelled out. `None` means the user backed out.
+
+ Escape and end-of-input both return `None` rather than `False`, because "stop this" and "no,
+ but carry on asking" are different answers and a caller that conflates them either loops
+ forever or abandons work the user only meant to decline once.
+ """
+ legend = f"{choice('y', 'es', stream=stream)} {choice('n', 'o', stream=stream)}"
+ marker = "Y/n" if default else "y/N"
+ text = f"{bold(question, stream=stream)} {legend} {dim(f'({marker})', stream=stream)}: "
+ while True:
+ key = read_key(text, stream=stream)
+ if key is None:
+ try:
+ raw = input(text)
+ except (EOFError, OSError):
+ print()
+ return None
+ if is_escape(raw):
+ return None
+ answer = raw.strip().lower()
+ if answer == "":
+ return default
+ if answer in ("y", "yes"):
+ return True
+ if answer in ("n", "no"):
+ return False
+ continue
+ if key == ESCAPE:
+ return None
+ if key in ("\r", "\n"):
+ return default
+ if key.lower() == "y":
+ return True
+ if key.lower() == "n":
+ return False
+
+
+def prompt(question: str, default: str | None = None, stream: TextIO | None = None) -> str:
+ """A question, with its default rendered so it is obvious what Enter does."""
+ if default is None:
+ return f"{bold(question, stream=stream)} "
+ return f"{bold(question, stream=stream)} [{paint(default, 'cyan', stream=stream)}] "
diff --git a/factory/contained/usage.py b/factory/contained/usage.py
new file mode 100644
index 000000000..6a591656c
--- /dev/null
+++ b/factory/contained/usage.py
@@ -0,0 +1,58 @@
+"""Which runtimes this machine actually uses.
+
+`ls` shows one table covering both targets, which is right for someone who uses both and wrong for
+everyone else: reaching a cluster costs a network round trip, and an unreachable one costs a
+multi-second timeout followed by an error about a target the user never asked for. Somebody who
+answered "local" at setup should not be told their cluster is down.
+
+So the cluster is only consulted when there is a reason to think it is wanted: the user set it up,
+has run something on it, or asked for it now with `--target k8s`. The record is a plain list of
+target names, written when a target is set up or provisioned.
+"""
+
+from __future__ import annotations
+
+import json
+
+import structlog
+
+from factory.contained.workspace import contained_home
+
+log = structlog.get_logger()
+
+TARGETS = ("local", "k8s")
+
+
+def _record_path():
+ return contained_home() / "targets.json"
+
+
+def record_target(target: str) -> None:
+ """Note that this machine uses `target`. Idempotent, and never fatal."""
+ if target not in TARGETS:
+ return
+ used = set(used_targets())
+ if target in used:
+ return
+ used.add(target)
+ path = _record_path()
+ try:
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_text(json.dumps(sorted(used)))
+ except OSError as exc:
+ # A machine whose home directory is read-only still has to be able to run; the only cost of
+ # failing here is that `ls` asks about one target more than it needs to.
+ log.debug("contained_usage_not_recorded", error=str(exc))
+
+
+def used_targets() -> list[str]:
+ """The targets this machine has set up or provisioned, oldest record first."""
+ try:
+ data = json.loads(_record_path().read_text())
+ except (OSError, ValueError):
+ return []
+ return [t for t in data if t in TARGETS] if isinstance(data, list) else []
+
+
+def uses(target: str) -> bool:
+ return target in used_targets()
diff --git a/factory/contained/workspace.py b/factory/contained/workspace.py
new file mode 100644
index 000000000..bb24d56f0
--- /dev/null
+++ b/factory/contained/workspace.py
@@ -0,0 +1,225 @@
+"""Materializing the tree a contained run works on.
+
+A run never writes the host's working tree. It works on a copy, bind-mounted at *its own* absolute
+path — identical inside and out — which is what lets the local division's builds resolve a
+Containerfile on the host and read what the agent actually wrote. Those builds are executed by an
+engine outside the container, which resolves the context path in its own filesystem
+namespace; mounting the copy at the *original* path instead would give the agent one tree and the
+build another, and the divergence surfaces as "file not found" for a file the agent can plainly see.
+
+The copy always starts from the files on this machine, uncommitted changes included.
+Git projects get a worktree from HEAD — cheap, sharing the object store, and the run's work is
+already on a branch when it comes back — and the working tree is then synced over the top, because
+the whole point of a contained run is to exercise code that is not committed yet. Everything else
+is rsynced.
+
+Copies live under `~/.factory-contained/`, deliberately not under `~/.factory/`, which is itself
+bind-mounted read-write — nesting them would produce overlapping bind mounts.
+"""
+
+from __future__ import annotations
+
+import os
+import shutil
+import subprocess
+from dataclasses import dataclass
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+CONTAINED_HOME_ENV = "FACTORY_CONTAINED_HOME"
+DEFAULT_CONTAINED_HOME = "~/.factory-contained"
+BRANCH_PREFIX = "contained"
+
+
+class WorkspaceError(RuntimeError):
+ """Materialization failed in a way the caller should report rather than retry."""
+
+
+@dataclass(frozen=True)
+class Workspace:
+ """The copy a run works on, and how to get its result back."""
+
+ source: Path
+ path: Path
+ kind: str
+ branch: str | None = None
+
+
+def contained_home() -> Path:
+ return Path(os.environ.get(CONTAINED_HOME_ENV, DEFAULT_CONTAINED_HOME)).expanduser()
+
+
+def materialize(source: Path, run_id: str, *, self_contained: bool = False) -> Workspace:
+ """Create (or reuse) the run's copy of `source`.
+
+ Idempotent: an existing copy for the same run is refreshed rather than replaced, because a
+ reattached run's in-progress work lives there.
+ """
+ ws = plan_workspace(source, run_id, self_contained=self_contained)
+ ws.path.parent.mkdir(parents=True, exist_ok=True)
+ if ws.kind == "worktree":
+ return _materialize_worktree(ws.source, ws.path, run_id)
+ return _materialize_copy(ws.source, ws.path)
+
+
+def plan_workspace(source: Path, run_id: str, *, self_contained: bool = False) -> Workspace:
+ """The `Workspace` `materialize` would produce, without creating or touching anything.
+
+ Dry-run needs the destination path, kind, and branch name in advance — the same values
+ `materialize` computes — without `materialize`'s side effects: no directory is created, no
+ worktree is added, nothing is rsynced. The one filesystem interaction that survives is the git
+ repo check, a read-only `rev-parse` that decides `worktree` vs. `copy`; it changes nothing.
+
+ **`self_contained` is what the cluster target needs, and it is not an optimization.** A git
+ worktree's `.git` is a *file* pointing at the original repository's object store. Locally that
+ store is bind-mounted and everything works; in a pod there is no host to point at, so `git
+ status` fails, state detection reports `no_repo`, and the CEO silently drops to build mode —
+ the exact failure the `git_usable` probe exists to catch, and it catches it. A plain copy
+ carries a real `.git` directory and stands on its own. The worktree's advantages — cheap,
+ shared object store, work already on a branch — are all host-side, and the cluster brings its
+ work back as a tarball rather than as a branch anyway.
+ """
+ source = source.expanduser().resolve()
+ destination = contained_home() / run_id / source.name
+ if is_git_repo(source) and not self_contained:
+ return Workspace(
+ source=source, path=destination, kind="worktree", branch=f"{BRANCH_PREFIX}/{run_id}"
+ )
+ return Workspace(source=source, path=destination, kind="copy")
+
+
+def is_git_repo(source: Path) -> bool:
+ result = subprocess.run(
+ ["git", "-C", str(source), "rev-parse", "--is-inside-work-tree"],
+ capture_output=True, text=True,
+ )
+ return result.returncode == 0 and result.stdout.strip() == "true"
+
+
+def git_common_dir(source: Path) -> Path | None:
+ """The repository's object store — what a worktree's `.git` *file* points at.
+
+ A worktree's `.git` is a file, not a directory, so the original repository's git directory has
+ to be mounted too or every git command inside the container fails on a path that exists on the
+ host and not in the container. `--git-common-dir` rather than `--git-dir` because
+ the source may itself be a worktree, in which case only the common dir holds the objects.
+ """
+ result = subprocess.run(
+ ["git", "-C", str(source), "rev-parse", "--path-format=absolute", "--git-common-dir"],
+ capture_output=True, text=True,
+ )
+ if result.returncode != 0 or not result.stdout.strip():
+ return None
+ return Path(result.stdout.strip())
+
+
+def _materialize_worktree(source: Path, destination: Path, run_id: str) -> Workspace:
+ branch = f"{BRANCH_PREFIX}/{run_id}"
+ is_new = not destination.exists()
+ if is_new:
+ # A copy deleted by hand — `rm -rf ~/.factory-contained/<run>` — leaves git still believing
+ # a worktree is checked out there, and the branch stays claimed by it. Every later run of
+ # the same name then fails on "cannot force update the branch ... used by worktree at",
+ # naming a directory that no longer exists. Pruning first is cheap and only ever removes
+ # registrations whose directory is already gone.
+ _git(source, ["worktree", "prune"])
+ _git(source, ["worktree", "add", "--force", "-B", branch, str(destination), "HEAD"])
+ log.debug("contained_worktree_created", path=str(destination), branch=branch)
+ # A worktree carries committed state only. The point of a contained run is to exercise what is
+ # *not* committed, so the working tree — modifications, untracked files, and the gitignored
+ # .factory/ directory the whole experiment history lives in — is synced over the top.
+ # `--delete-after` only runs on that first sync, so it can mirror deletions made in the working
+ # tree since HEAD; a later reattach must not delete-after, or it would wipe the in-progress work
+ # the run has since written into the copy but never had a source-side counterpart.
+ #
+ # The exclude has no trailing slash on purpose: in `source` .git is a real directory, but in a
+ # worktree checkout it is a plain pointer *file* ("gitdir: ..."). A trailing-slash pattern only
+ # matches directories, so it would leave the destination's .git file unprotected and
+ # --delete-after would remove it on the first sync — silently breaking `git worktree remove`.
+ _rsync(source, destination, exclude=(".git",), delete=is_new)
+ return Workspace(source=source, path=destination, kind="worktree", branch=branch)
+
+
+def _materialize_copy(source: Path, destination: Path) -> Workspace:
+ is_new = not destination.exists()
+ destination.mkdir(parents=True, exist_ok=True)
+ _rsync(source, destination, exclude=(), delete=is_new)
+ return Workspace(source=source, path=destination, kind="copy")
+
+
+def _rsync(source: Path, destination: Path, *, exclude: tuple[str, ...], delete: bool) -> None:
+ if shutil.which("rsync") is None:
+ raise WorkspaceError(
+ "rsync is required to materialize a contained workspace and was not found on PATH. "
+ "Install it (`brew install rsync`) and retry."
+ )
+ argv = ["rsync", "-a"]
+ if delete:
+ argv.append("--delete-after")
+ for pattern in exclude:
+ argv += ["--exclude", pattern]
+ argv += [f"{source}/", f"{destination}/"]
+ result = subprocess.run(argv, capture_output=True, text=True)
+ if result.returncode != 0:
+ raise WorkspaceError(f"copying {source} into {destination} failed: {result.stderr.strip()}")
+
+
+def _git(cwd: Path, argv: list[str]) -> None:
+ result = subprocess.run(["git", "-C", str(cwd), *argv], capture_output=True, text=True)
+ if result.returncode != 0:
+ raise WorkspaceError(f"git {' '.join(argv)} failed: {result.stderr.strip()}")
+
+
+def merge_hint(ws: Workspace) -> str:
+ """How to bring the run's work back. Never performed automatically."""
+ if ws.kind == "worktree" and ws.branch:
+ return (
+ f"Work is on branch {ws.branch} in {ws.path}.\n"
+ f" Review: git -C {ws.path} status && git -C {ws.path} diff\n"
+ f" Merge: git -C {ws.source} merge {ws.branch}"
+ )
+ return (
+ f"Work is in {ws.path}.\n"
+ f" Review: diff -ru {ws.source} {ws.path}\n"
+ f" Merge: rsync -a --exclude .git {ws.path}/ {ws.source}/"
+ )
+
+
+def release(ws: Workspace, *, delete_branch: bool = False) -> None:
+ """Remove the copy, and optionally the branch that went with it.
+
+ The branch normally survives, because it is where the run's work is. `delete_branch` is for the
+ case where there is provably no work to lose — a launch that failed before the factory ever
+ started.
+ """
+ if ws.kind == "worktree":
+ _git(ws.source, ["worktree", "remove", "--force", str(ws.path)])
+ if delete_branch and ws.branch:
+ # Best effort: a branch that was never checked out anywhere is unremarkable to lose, and
+ # failing to delete it must not turn a cleanup into a second error.
+ subprocess.run(
+ ["git", "-C", str(ws.source), "branch", "-D", ws.branch],
+ capture_output=True, text=True,
+ )
+ else:
+ shutil.rmtree(ws.path, ignore_errors=True)
+ log.debug("contained_workspace_released", path=str(ws.path), kind=ws.kind)
+
+
+def cleanup_hint(ws: Workspace) -> str:
+ """The exact commands that remove what a run left in the *source* repository.
+
+ A worktree is registered in the source repo's git directory and its branch lives in the source
+ repo's refs, so removing the container is not the whole story. Deleting the copy's directory by
+ hand leaves a stale registration behind, which then blocks the next run of the same name.
+ """
+ if ws.kind != "worktree" or not ws.branch:
+ return f"Remove the copy with: rm -rf {ws.path}"
+ return (
+ "This run left a git worktree and a branch in your repository. Remove them with:\n"
+ f" git -C {ws.source} worktree remove {ws.path}\n"
+ f" git -C {ws.source} branch -D {ws.branch}"
+ )
diff --git a/factory/cycle_analyzer.py b/factory/cycle_analyzer.py
new file mode 100644
index 000000000..2af515533
--- /dev/null
+++ b/factory/cycle_analyzer.py
@@ -0,0 +1,518 @@
+"""CycleAnalyzer — reads .factory/ artifacts and produces structured records for outer-loop optimizers.
+
+Assembles what happened in each inner-loop cycle: what agents ran, in what order,
+what each produced, what the evaluator said, and whether it helped. Mode-agnostic —
+works with evolve, improve, research, refine, or any experiment-producing workflow.
+"""
+
+from __future__ import annotations
+
+import csv
+import json
+from dataclasses import dataclass, field
+from pathlib import Path
+from factory.workflow.primitives import AgentNode, Workflow
+
+
+@dataclass
+class AgentStep:
+ """One agent invocation within a cycle."""
+
+ order: int
+ role: str
+ started_at: str
+ duration_s: float
+ cost_usd: float | None
+ output_tokens: int | None
+ succeeded: bool
+ error: str | None = None
+ node_id: str | None = None
+ produced: list[str] = field(default_factory=list)
+
+
+@dataclass
+class ExperimentRecord:
+ """One experiment (hypothesis → build → eval → verdict)."""
+
+ exp_id: int
+ hypothesis: str | None
+ verdict: str
+ score_before: float | None
+ score_after: float | None
+ score_delta: float | None
+ cost_usd: float
+ duration_s: float
+ agents: list[AgentStep] = field(default_factory=list)
+ eval_artifacts: list[str] = field(default_factory=list)
+
+
+@dataclass
+class NodeTrace:
+ """Maps a DAG node to its runtime artifact and event."""
+
+ node_id: str
+ node_type: str
+ role: str | None
+ declared_writes: set[str]
+ declared_reads: set[str]
+ artifact_exists: bool = False
+ event: dict | None = None
+
+
+@dataclass
+class CycleRecord:
+ """What an outer-loop optimizer sees after one inner-loop cycle."""
+
+ cycle_number: int
+ mode: str | None
+ started_at: str | None
+ ended_at: str | None
+ duration_s: float
+
+ score_start: float | None
+ score_end: float | None
+ score_delta: float | None
+ score_trajectory: list[float] = field(default_factory=list)
+
+ experiments: list[ExperimentRecord] = field(default_factory=list)
+ kept: int = 0
+ reverted: int = 0
+ errored: int = 0
+ keep_rate: float = 0.0
+
+ total_cost_usd: float = 0.0
+ cost_by_agent: dict[str, float] = field(default_factory=dict)
+
+ consecutive_reverts: int = 0
+ plateau_detected: bool = False
+ stuck_detected: bool = False
+
+ steps: list[AgentStep] = field(default_factory=list)
+ eval_artifacts: list[str] = field(default_factory=list)
+ node_trace: dict[str, NodeTrace] = field(default_factory=dict)
+
+ frozen_nodes: list[str] = field(default_factory=list)
+ mutable_node_ids: list[str] = field(default_factory=list)
+
+
+class CycleAnalyzer:
+ """Reads .factory/ artifacts and produces structured CycleRecords."""
+
+ def __init__(
+ self,
+ factory_dir: Path,
+ workflow: Workflow | None = None,
+ event_offset: int = 0,
+ tsv_offset: int = 0,
+ ) -> None:
+ self.factory_dir = Path(factory_dir)
+ self.workflow = workflow
+ self._event_offset = event_offset
+ self._tsv_offset = tsv_offset
+
+ # ── Main API ──
+
+ def analyze(self) -> list[CycleRecord]:
+ events = self._parse_events()
+ experiments = self._extract_experiments(events)
+ steps = self._extract_agent_steps(events)
+ scores = self._extract_scores(events)
+ mode = self._detect_mode(events)
+
+ self._enrich_from_results_tsv(experiments)
+ self._add_missing_experiments_from_tsv(experiments)
+ self._discover_eval_artifacts(experiments)
+
+ tsv_scores = self._extract_scores_from_tsv()
+ if len(tsv_scores) > len(scores):
+ scores = tsv_scores
+
+ record = CycleRecord(
+ cycle_number=1,
+ mode=mode,
+ started_at=events[0]["timestamp"] if events else None,
+ ended_at=events[-1]["timestamp"] if events else None,
+ duration_s=self._compute_duration(events),
+ score_start=scores[0] if scores else None,
+ score_end=scores[-1] if scores else None,
+ score_delta=(scores[-1] - scores[0]) if len(scores) >= 2 else None,
+ score_trajectory=scores,
+ experiments=experiments,
+ kept=sum(1 for e in experiments if e.verdict == "keep"),
+ reverted=sum(1 for e in experiments if e.verdict == "revert"),
+ errored=sum(1 for e in experiments if e.verdict == "error"),
+ steps=steps,
+ total_cost_usd=sum(s.cost_usd or 0 for s in steps),
+ cost_by_agent=self._cost_by_agent(steps),
+ )
+ total = record.kept + record.reverted + record.errored
+ record.keep_rate = record.kept / total if total > 0 else 0.0
+ record.consecutive_reverts = self._count_trailing_reverts(experiments)
+ record.eval_artifacts = [a for e in experiments for a in e.eval_artifacts]
+
+ if self.workflow:
+ record.node_trace = self._build_node_trace(steps)
+
+ return [record]
+
+ def latest(self) -> CycleRecord | None:
+ records = self.analyze()
+ return records[-1] if records else None
+
+ def trajectory(self) -> list[float]:
+ records = self.analyze()
+ return records[0].score_trajectory if records else []
+
+ # ── Tier 1: events.jsonl ──
+
+ def _parse_events(self) -> list[dict]:
+ events_path = self.factory_dir / "events.jsonl"
+ if not events_path.exists():
+ return []
+ events = []
+ for idx, line in enumerate(events_path.read_text().splitlines()):
+ if idx < self._event_offset:
+ continue
+ line = line.strip()
+ if line:
+ try:
+ e = json.loads(line)
+ if isinstance(e, dict) and "type" in e and "timestamp" in e:
+ events.append(e)
+ except (json.JSONDecodeError, TypeError):
+ continue
+ return events
+
+ def _extract_experiments(self, events: list[dict]) -> list[ExperimentRecord]:
+ begins: dict[int, int] = {}
+ experiments: list[ExperimentRecord] = []
+
+ for i, e in enumerate(events):
+ if e["type"] == "experiment.begin":
+ exp_id = e["data"].get("exp_id")
+ if exp_id is not None:
+ begins[exp_id] = i
+ elif e["type"] == "experiment.finalize":
+ exp_id = e["data"].get("exp_id")
+ if exp_id is None:
+ continue
+ verdict = e["data"].get("verdict", "error")
+ hypothesis = e["data"].get("hypothesis")
+ begin_idx = begins.get(exp_id)
+
+ begin_ts = (
+ events[begin_idx]["timestamp"] if begin_idx is not None else e["timestamp"]
+ )
+ end_ts = e["timestamp"]
+ duration = self._ts_diff(begin_ts, end_ts)
+
+ agents_in_exp: list[AgentStep] = []
+ cost = 0.0
+ if begin_idx is not None:
+ for j in range(begin_idx, i + 1):
+ ev = events[j]
+ if ev["type"] == "agent.completed":
+ c = ev["data"].get("total_cost_usd", 0) or 0
+ cost += c
+
+ experiments.append(
+ ExperimentRecord(
+ exp_id=exp_id,
+ hypothesis=hypothesis,
+ verdict=verdict,
+ score_before=None,
+ score_after=None,
+ score_delta=None,
+ cost_usd=cost,
+ duration_s=duration,
+ agents=agents_in_exp,
+ )
+ )
+
+ return experiments
+
+ def _extract_agent_steps(self, events: list[dict]) -> list[AgentStep]:
+ pending: dict[str, list[dict]] = {}
+ steps: list[AgentStep] = []
+ order = 0
+
+ for e in events:
+ if e["type"] == "agent.started":
+ role = e.get("agent", "unknown")
+ pending.setdefault(role, []).append(e)
+
+ elif e["type"] == "agent.completed":
+ role = e.get("agent", "unknown")
+ start_event = pending.get(role, [None]).pop(0) if pending.get(role) else None
+ data = e.get("data", {})
+ started_at = start_event["timestamp"] if start_event else e["timestamp"]
+ duration = self._ts_diff(started_at, e["timestamp"])
+
+ step = AgentStep(
+ order=order,
+ role=role,
+ started_at=started_at,
+ duration_s=duration,
+ cost_usd=data.get("total_cost_usd"),
+ output_tokens=data.get("output_tokens"),
+ succeeded=True,
+ )
+ if self.workflow:
+ step.node_id = self._match_node(role)
+ if step.node_id:
+ node = self.workflow.nodes[step.node_id]
+ step.produced = sorted(node.writes)
+
+ steps.append(step)
+ order += 1
+
+ elif e["type"] == "agent.failed":
+ role = e.get("agent", "unknown")
+ start_event = pending.get(role, [None]).pop(0) if pending.get(role) else None
+ data = e.get("data", {})
+ started_at = start_event["timestamp"] if start_event else e["timestamp"]
+
+ steps.append(
+ AgentStep(
+ order=order,
+ role=role,
+ started_at=started_at,
+ duration_s=self._ts_diff(started_at, e["timestamp"]),
+ cost_usd=None,
+ output_tokens=None,
+ succeeded=False,
+ error=data.get("stderr", data.get("error", "unknown")),
+ )
+ )
+ order += 1
+
+ return steps
+
+ def _extract_scores(self, events: list[dict]) -> list[float]:
+ scores = []
+ for e in events:
+ if e["type"] == "eval.completed":
+ composite = e["data"].get("composite")
+ if composite is not None:
+ scores.append(float(composite))
+ return scores
+
+ def _detect_mode(self, events: list[dict]) -> str | None:
+ if self.workflow:
+ return self.workflow.name
+ return None
+
+ def _compute_duration(self, events: list[dict]) -> float:
+ if len(events) < 2:
+ return 0.0
+ return self._ts_diff(events[0]["timestamp"], events[-1]["timestamp"])
+
+ # ── Tier 2: results.tsv ──
+
+ def _enrich_from_results_tsv(self, experiments: list[ExperimentRecord]) -> None:
+ tsv_path = self.factory_dir / "results.tsv"
+ if not tsv_path.exists():
+ return
+ rows: dict[int, dict[str, str]] = {}
+ with open(tsv_path) as f:
+ reader = csv.DictReader(f, delimiter="\t")
+ for data_idx, row in enumerate(reader):
+ if data_idx < self._tsv_offset:
+ continue
+ try:
+ rows[int(row["id"])] = row
+ except (KeyError, ValueError):
+ continue
+
+ for exp in experiments:
+ tsv_row = rows.get(exp.exp_id)
+ if not tsv_row:
+ continue
+ if not exp.hypothesis and tsv_row.get("hypothesis"):
+ exp.hypothesis = tsv_row["hypothesis"]
+ if tsv_row.get("score_before"):
+ try:
+ exp.score_before = float(tsv_row["score_before"])
+ except ValueError:
+ pass
+ if tsv_row.get("score_after"):
+ try:
+ exp.score_after = float(tsv_row["score_after"])
+ except ValueError:
+ pass
+ if exp.score_before is not None and exp.score_after is not None:
+ exp.score_delta = exp.score_after - exp.score_before
+ if tsv_row.get("verdict"):
+ exp.verdict = tsv_row["verdict"]
+
+ def _add_missing_experiments_from_tsv(self, experiments: list[ExperimentRecord]) -> None:
+ """Add experiments that exist in results.tsv but not in events.jsonl."""
+ tsv_path = self.factory_dir / "results.tsv"
+ if not tsv_path.exists():
+ return
+ known_ids = {e.exp_id for e in experiments}
+ with open(tsv_path) as f:
+ reader = csv.DictReader(f, delimiter="\t")
+ for data_idx, row in enumerate(reader):
+ if data_idx < self._tsv_offset:
+ continue
+ try:
+ exp_id = int(row["id"])
+ except (KeyError, ValueError):
+ continue
+ if exp_id in known_ids:
+ continue
+ score_before = score_after = score_delta = None
+ try:
+ if row.get("score_before"):
+ score_before = float(row["score_before"])
+ if row.get("score_after"):
+ score_after = float(row["score_after"])
+ if score_before is not None and score_after is not None:
+ score_delta = score_after - score_before
+ except ValueError:
+ pass
+ cost = 0.0
+ try:
+ if row.get("cost_usd"):
+ cost = float(row["cost_usd"])
+ except ValueError:
+ pass
+ experiments.append(
+ ExperimentRecord(
+ exp_id=exp_id,
+ hypothesis=row.get("hypothesis"),
+ verdict=row.get("verdict", "error"),
+ score_before=score_before,
+ score_after=score_after,
+ score_delta=score_delta,
+ cost_usd=cost,
+ duration_s=0,
+ )
+ )
+ experiments.sort(key=lambda e: e.exp_id)
+
+ def _extract_scores_from_tsv(self) -> list[float]:
+ """Build score trajectory from results.tsv score_after values."""
+ tsv_path = self.factory_dir / "results.tsv"
+ if not tsv_path.exists():
+ return []
+ scores: list[float] = []
+ with open(tsv_path) as f:
+ reader = csv.DictReader(f, delimiter="\t")
+ for data_idx, row in enumerate(reader):
+ if data_idx < self._tsv_offset:
+ continue
+ try:
+ if row.get("score_after"):
+ scores.append(float(row["score_after"]))
+ except ValueError:
+ continue
+ return scores
+
+ # ── Tier 3: eval artifact discovery ──
+
+ def _discover_eval_artifacts(self, experiments: list[ExperimentRecord]) -> None:
+ exp_dir = self.factory_dir / "experiments"
+ if not exp_dir.exists():
+ return
+ for exp in experiments:
+ for dir_name in [str(exp.exp_id), f"{exp.exp_id:03d}"]:
+ d = exp_dir / dir_name
+ if not d.is_dir():
+ continue
+ for f in sorted(d.iterdir()):
+ if f.name.startswith("eval") or f.name == "candidate.py":
+ exp.eval_artifacts.append(str(f))
+
+ # ── Tier 4: DAG node mapping ──
+
+ def _build_node_trace(self, steps: list[AgentStep]) -> dict[str, NodeTrace]:
+ if not self.workflow:
+ return {}
+ trace: dict[str, NodeTrace] = {}
+ step_by_role: dict[str, AgentStep] = {}
+ for s in steps:
+ step_by_role[s.role] = s
+
+ for nid, node in self.workflow.nodes.items():
+ role = getattr(node, "role", None)
+ role_str = role.value if role else None
+ nt = NodeTrace(
+ node_id=nid,
+ node_type=type(node).__name__,
+ role=role_str,
+ declared_writes=set(node.writes),
+ declared_reads=set(node.reads),
+ )
+ if node.writes:
+ nt.artifact_exists = any(
+ (self.factory_dir / w.removeprefix(".factory/")).exists()
+ or (self.factory_dir.parent / w.removeprefix("./")).exists()
+ for w in node.writes
+ )
+ step = step_by_role.get(role_str) if role_str else None
+ if step:
+ nt.event = {
+ "role": step.role,
+ "duration_s": step.duration_s,
+ "cost_usd": step.cost_usd,
+ "succeeded": step.succeeded,
+ }
+ trace[nid] = nt
+ return trace
+
+ def _match_node(self, role: str) -> str | None:
+ if not self.workflow:
+ return None
+ for nid, node in self.workflow.nodes.items():
+ if isinstance(node, AgentNode) and node.role.value == role:
+ return nid
+ return None
+
+ # ── Helpers ──
+
+ @staticmethod
+ def _cost_by_agent(steps: list[AgentStep]) -> dict[str, float]:
+ costs: dict[str, float] = {}
+ for s in steps:
+ if s.cost_usd:
+ costs[s.role] = costs.get(s.role, 0) + s.cost_usd
+ return costs
+
+ @staticmethod
+ def _count_trailing_reverts(experiments: list[ExperimentRecord]) -> int:
+ count = 0
+ for exp in reversed(experiments):
+ if exp.verdict == "revert":
+ count += 1
+ else:
+ break
+ return count
+
+ @staticmethod
+ def _ts_diff(start: str, end: str) -> float:
+ from datetime import datetime
+
+ fmt_options = [
+ "%Y-%m-%dT%H:%M:%S.%f%z",
+ "%Y-%m-%dT%H:%M:%S%z",
+ "%Y-%m-%dT%H:%M:%S.%f",
+ "%Y-%m-%dT%H:%M:%S",
+ ]
+ s = e = None
+ for fmt in fmt_options:
+ try:
+ s = datetime.strptime(start, fmt)
+ break
+ except ValueError:
+ continue
+ for fmt in fmt_options:
+ try:
+ e = datetime.strptime(end, fmt)
+ break
+ except ValueError:
+ continue
+ if s and e:
+ return (e - s).total_seconds()
+ return 0.0
diff --git a/factory/dashboard/app.py b/factory/dashboard/app.py
index 51e8a24de..8714d7c65 100644
--- a/factory/dashboard/app.py
+++ b/factory/dashboard/app.py
@@ -303,11 +303,13 @@ def _phase_data_review(
verdict = _parse_single_verdict(
factory_dir / "reviews" / "ceo-verdict-qa.md"
)
+ parts: list[str] = []
+ for fname in ("health-check.md", "code-review.md", "adversarial-qa.md"):
+ content = _read_text_safe(factory_dir / "reviews" / fname)
+ if content:
+ parts.append(content)
return {
- "agent_output": _read_text_safe(
- factory_dir / "reviews" / "qa-latest.md"
- )
- or "",
+ "agent_output": "\n\n---\n\n".join(parts) if parts else "",
}, verdict
@@ -321,7 +323,7 @@ def _phase_data_eval(
"delta": None,
"last_eval": _read_json_safe(factory_dir / "last_eval.json"),
"agent_output": _read_text_safe(
- factory_dir / "reviews" / "qa-latest.md"
+ factory_dir / "reviews" / "health-check.md"
)
or "",
}
diff --git a/factory/discovery/introspect.py b/factory/discovery/introspect.py
index cdc7d4bb9..a5a905b17 100644
--- a/factory/discovery/introspect.py
+++ b/factory/discovery/introspect.py
@@ -168,7 +168,8 @@ def _detect_type_check_command(project_path: Path, language: str) -> str | None:
pm = "uv run" if (project_path / "uv.lock").exists() else "python -m"
# Find the main package directory
src_dirs = [
- d.name for d in project_path.iterdir()
+ d.name
+ for d in project_path.iterdir()
if d.is_dir()
and (d / "__init__.py").exists()
and d.name not in ("tests", "test", ".venv", "venv")
@@ -204,19 +205,23 @@ def _detect_project_evals(project_path: Path) -> list[dict[str, str]]:
for script in eval_dir.glob("*.py"):
if script.name in ("score.py", "__init__.py"):
continue
- evals.append({
- "name": script.stem,
- "command": f"python {dir_name}/{script.name}",
- "source": "discovered",
- })
+ evals.append(
+ {
+ "name": script.stem,
+ "command": f"python {dir_name}/{script.name}",
+ "source": "discovered",
+ }
+ )
for name in ("evaluate.py", "benchmark.py", "bench.py"):
if (project_path / name).exists():
- evals.append({
- "name": Path(name).stem,
- "command": f"python {name}",
- "source": "discovered",
- })
+ evals.append(
+ {
+ "name": Path(name).stem,
+ "command": f"python {name}",
+ "source": "discovered",
+ }
+ )
makefile = project_path / "Makefile"
if makefile.exists():
@@ -224,11 +229,13 @@ def _detect_project_evals(project_path: Path) -> list[dict[str, str]]:
text = makefile.read_text()
for target in ("eval", "benchmark", "bench", "evaluate"):
if f"\n{target}:" in text or text.startswith(f"{target}:"):
- evals.append({
- "name": target,
- "command": f"make {target}",
- "source": "discovered",
- })
+ evals.append(
+ {
+ "name": target,
+ "command": f"make {target}",
+ "source": "discovered",
+ }
+ )
except OSError:
pass
diff --git a/factory/discovery/spec.py b/factory/discovery/spec.py
index 3a7cfa711..d4725be1d 100644
--- a/factory/discovery/spec.py
+++ b/factory/discovery/spec.py
@@ -1,256 +1,37 @@
-"""SPEC.md resolution and generation for the discovery pipeline."""
+"""SPEC resolution and generation for the discovery pipeline."""
from __future__ import annotations
-import json
+import asyncio
from pathlib import Path
import structlog
-from factory.models import ProjectProfile
-
log = structlog.get_logger()
-_EXCLUDE_DIRS = {
- "tests", "test", ".venv", "venv", "node_modules", "__pycache__",
- ".git", ".factory", "eval", "dist", "build", ".mypy_cache",
- ".tox", ".eggs", ".pytest_cache",
-}
-
-
-def resolve_spec(project_path: Path) -> tuple[Path | None, str]:
- """Locate an existing SPEC.md — committed (project root) takes priority over generated (.factory/)."""
- committed = project_path / "SPEC.md"
- if committed.exists():
- log.debug("resolve_spec", source="committed", path=str(committed))
- return committed, "committed"
-
- generated = project_path / ".factory" / "SPEC.md"
- if generated.exists():
- log.debug("resolve_spec", source="generated", path=str(generated))
- return generated, "generated"
+def resolve_spec(project_path: Path) -> Path | None:
+ """Locate SPEC.md at the project root or .factory/. Returns None if absent."""
+ spec = project_path / "SPEC.md"
+ if spec.exists():
+ log.debug("resolve_spec", path=str(spec))
+ return spec
+ factory_spec = project_path / ".factory" / "SPEC.md"
+ if factory_spec.exists():
+ log.debug("resolve_spec", path=str(factory_spec))
+ return factory_spec
log.debug("resolve_spec", source="absent")
- return None, "absent"
-
-
-def generate_spec(project_path: Path, profile: ProjectProfile) -> str:
- """Produce a SPEC.md document from discovered project data."""
- sections: list[str] = []
-
- sections.append(f"# {profile.name} Specification")
- sections.append("")
- sections.append("Status: Auto-generated by re:factory discovery")
- sections.append("")
- sections.append("## Normative Language")
- sections.append(
- "The key words MUST, MUST NOT, REQUIRED, SHOULD, SHOULD NOT, RECOMMENDED, "
- "MAY, and OPTIONAL in this document are to be interpreted as described in RFC 2119."
- )
-
- # Section 1: Project Identity
- sections.append("")
- sections.append("## 1. Project Identity")
- sections.append(f"- **Name:** {profile.name}")
- sections.append(f"- **Type:** {profile.project_type}")
- sections.append(f"- **Language:** {profile.language}")
- sections.append(f"- **Framework:** {profile.framework or 'None detected'}")
- sections.append(f"- **Package Manager:** {profile.package_manager or 'None detected'}")
-
- # Section 2: Goals
- sections.append("")
- sections.append("## 2. Goals")
- readme_summary = _read_readme_summary(project_path)
- sections.append(readme_summary)
-
- # Section 3: Technical Stack
- sections.append("")
- sections.append("## 3. Technical Stack")
- sections.append("### 3.1 Dependencies")
- deps = _read_top_level_deps(project_path, profile.language)
- if deps:
- for dep in deps:
- sections.append(f"- {dep}")
- else:
- sections.append("No dependencies detected.")
- sections.append("")
- sections.append("### 3.2 Development Tools")
- sections.append(f"- **Test command:** {profile.test_command or 'Not configured'}")
- sections.append(f"- **Lint command:** {profile.lint_command or 'Not configured'}")
- sections.append(
- f"- **Type check command:** {profile.type_check_command or 'Not configured'}"
- )
- sections.append(f"- **CI:** {'Configured' if profile.has_ci else 'Not configured'}")
-
- # Section 4: Architecture
- sections.append("")
- sections.append("## 4. Architecture")
- source_dirs = _detect_source_dirs(project_path, profile.language)
- if source_dirs:
- for d in source_dirs:
- sections.append(f"- `{d}/`")
- else:
- sections.append("No source directories detected.")
-
- # Section 5: Eval Dimensions
- sections.append("")
- sections.append("## 5. Eval Dimensions")
- eval_profile_path = project_path / ".factory" / "eval_profile.json"
- if eval_profile_path.exists():
- try:
- ep = json.loads(eval_profile_path.read_text())
- dims = ep.get("dimensions", [])
- if dims:
- for dim in dims:
- name = dim.get("name", "unknown")
- weight = dim.get("weight", 0)
- source = dim.get("source", "unknown")
- sections.append(f"- **{name}** (weight: {weight}, source: {source})")
- else:
- sections.append("No eval dimensions configured.")
- except (json.JSONDecodeError, OSError):
- sections.append("Run `factory discover` to generate eval dimensions.")
- else:
- sections.append("Run `factory discover` to generate eval dimensions.")
-
- # Section 6: Known Issues
- sections.append("")
- sections.append("## 6. Known Issues")
- issues = _fetch_github_issues(project_path)
- if issues:
- for issue in issues[:10]:
- sections.append(f"- **#{issue['number']}** {issue['title']}")
- else:
- sections.append("No issues data available.")
-
- # Section 7: Backlog
- sections.append("")
- sections.append("## 7. Backlog")
- backlog_path = project_path / ".factory" / "strategy" / "backlog.md"
- if backlog_path.exists():
- try:
- content = backlog_path.read_text().strip()
- if content:
- items = [
- line.lstrip("- ").strip()
- for line in content.splitlines()
- if line.strip() and not line.strip().startswith("#")
- ]
- if items:
- for item in items:
- sections.append(f"- {item}")
- else:
- sections.append("No backlog items.")
- else:
- sections.append("No backlog items.")
- except OSError:
- sections.append("No backlog items.")
- else:
- sections.append("No backlog items.")
-
- sections.append("")
- return "\n".join(sections)
-
-
-def _read_readme_summary(project_path: Path) -> str:
- """Read README.md and return the first non-heading, non-empty paragraph."""
- for name in ("README.md", "README.rst", "README.txt", "README"):
- readme_path = project_path / name
- if readme_path.exists():
- try:
- text = readme_path.read_text()
- except OSError:
- continue
- for line in text.splitlines():
- stripped = line.strip()
- if not stripped:
- continue
- if stripped.startswith("#"):
- continue
- if stripped.startswith("===") or stripped.startswith("---"):
- continue
- return stripped
- return "Goals not yet documented."
-
-
-def _detect_source_dirs(project_path: Path, language: str) -> list[str]:
- """Find source directories based on language conventions."""
- dirs: list[str] = []
- if language == "python":
- for d in sorted(project_path.iterdir()):
- if not d.is_dir() or d.name in _EXCLUDE_DIRS or d.name.startswith("."):
- continue
- if (d / "__init__.py").exists():
- dirs.append(d.name)
- elif language in ("typescript", "javascript"):
- src = project_path / "src"
- if src.is_dir():
- dirs.append("src")
- lib = project_path / "lib"
- if lib.is_dir():
- dirs.append("lib")
- elif language == "go":
- for d in sorted(project_path.iterdir()):
- if not d.is_dir() or d.name in _EXCLUDE_DIRS or d.name.startswith("."):
- continue
- if any(d.glob("*.go")):
- dirs.append(d.name)
- elif language == "rust":
- src = project_path / "src"
- if src.is_dir():
- dirs.append("src")
- return dirs
-
+ return None
-def _read_top_level_deps(project_path: Path, language: str) -> list[str]:
- """Parse top-level dependency names from project config files."""
- deps: list[str] = []
- if language == "python":
- pyproject = project_path / "pyproject.toml"
- if pyproject.exists():
- try:
- text = pyproject.read_text()
- in_deps = False
- for line in text.splitlines():
- stripped = line.strip()
- if stripped == "dependencies = [":
- in_deps = True
- continue
- if in_deps:
- if stripped == "]":
- break
- name = stripped.strip('",').split(">=")[0].split("==")[0].split(
- "<"
- )[0].split(">")[0].split("[")[0].strip()
- if name:
- deps.append(name)
- except OSError:
- pass
- elif language in ("typescript", "javascript"):
- pkg_path = project_path / "package.json"
- if pkg_path.exists():
- try:
- pkg = json.loads(pkg_path.read_text())
- for name in sorted(pkg.get("dependencies", {}).keys()):
- deps.append(name)
- except (json.JSONDecodeError, OSError):
- pass
- return deps
+def generate_spec(project_path: Path) -> str:
+ """Generate a SPEC by delegating to the agent-driven pipeline.
-def _fetch_github_issues(project_path: Path) -> list[dict[str, str | int]]:
- """Fetch open GitHub issues via gh CLI. Returns empty list on failure."""
- import subprocess
+ Wraps the async factory.spec.generate.generate_spec() for sync callers.
+ Graph extraction via graphify runs as a prerequisite inside generate_spec().
+ Returns the spec content as a string.
+ """
+ from factory.spec.generate import generate_spec as _generate_spec
- try:
- result = subprocess.run(
- ["gh", "issue", "list", "--state", "open", "--limit", "10", "--json",
- "number,title"],
- capture_output=True, text=True, timeout=10,
- cwd=project_path,
- )
- if result.returncode == 0 and result.stdout.strip():
- return json.loads(result.stdout)
- except (subprocess.TimeoutExpired, FileNotFoundError, json.JSONDecodeError, OSError):
- pass
- return []
+ spec_path = asyncio.run(_generate_spec(project_path))
+ return spec_path.read_text()
diff --git a/factory/eval/growth.py b/factory/eval/growth.py
index c8194af7b..ac8f7ea49 100644
--- a/factory/eval/growth.py
+++ b/factory/eval/growth.py
@@ -164,7 +164,7 @@ def eval_observability(project_path: Path) -> dict:
try:
from factory.study import _analyze_observability
- result = _analyze_observability(project_path, "python")
+ result = _analyze_observability(project_path, "unknown")
score = result.get("observability_score", 0.0)
fn_cov = result.get("function_coverage", 0.0)
structured = result.get("structured_logging", False)
diff --git a/factory/eval/guards.py b/factory/eval/guards.py
index e5a2199a0..a06b4f6fd 100644
--- a/factory/eval/guards.py
+++ b/factory/eval/guards.py
@@ -47,7 +47,8 @@ def check_git_clean(project_path: Path) -> str | None:
if not status:
return None
significant = [
- line for line in status.splitlines()
+ line
+ for line in status.splitlines()
if not line.startswith("??")
and line.lstrip(" MADRCU?!").split("/")[-1] not in _AUTO_GENERATED_FILES
]
@@ -93,14 +94,12 @@ def _glob_match(filepath: str, pattern: str) -> bool:
if prefix and not filepath.startswith(prefix + "/"):
return False
- remaining = filepath[len(prefix):].lstrip("/") if prefix else filepath
+ remaining = filepath[len(prefix) :].lstrip("/") if prefix else filepath
if suffix:
# suffix is a pattern like "*.py" — match it against the filename
# or any sub-path within the remaining path
- return fnmatch.fnmatch(remaining, suffix) or fnmatch.fnmatch(
- remaining, "*/" + suffix
- )
+ return fnmatch.fnmatch(remaining, suffix) or fnmatch.fnmatch(remaining, "*/" + suffix)
# No suffix: ** at end matches everything under the prefix
return True
@@ -171,14 +170,6 @@ def check_fixed_surfaces(
return None
-def snapshot_eval_tree(project_path: Path) -> str:
- """Take a snapshot of eval/ tree for later comparison."""
- try:
- return _run_git(["ls-tree", "HEAD", "eval/"], project_path)
- except subprocess.CalledProcessError:
- return ""
-
-
def check_all(
project_path: Path,
baseline_sha: str,
diff --git a/factory/eval/hygiene.py b/factory/eval/hygiene.py
index 450a79b4b..c263a0285 100644
--- a/factory/eval/hygiene.py
+++ b/factory/eval/hygiene.py
@@ -130,20 +130,6 @@ def eval_type_check(project_path: Path) -> dict:
# ── Dimension 4: coverage (weight 0.25) ───────────────────────────
-def eval_coverage(project_path: Path) -> dict:
- """Run test coverage across detected sub-projects."""
- sub_projects = _find_sub_projects(project_path)
- fragments = []
- for sp in sub_projects:
- for evaluator in detect_languages(sp):
- result = evaluator.run_coverage(sp)
- if result is not None:
- fragments.append(result)
- if not fragments:
- return _neutral("coverage", "no coverage tool detected")
- return _aggregate(fragments, "coverage")
-
-
# ── Dimension 5: config_parser (weight 0.10) ──────────────────────
@@ -302,7 +288,7 @@ def eval_architecture(project_path: Path) -> dict:
bottleneck = data.get("bottleneck", "unknown")
passed = result.returncode == 0
- return {
+ arch_result: dict = {
"name": "architecture",
"score": round(score, 4),
"weight": HYGIENE_WEIGHTS["architecture"],
@@ -310,6 +296,40 @@ def eval_architecture(project_path: Path) -> dict:
"details": f"quality_signal={quality_signal}/10000, bottleneck={bottleneck}",
}
+ scan_metrics = _run_sentrux_scan(project_path)
+ if scan_metrics:
+ arch_result["scan_metrics"] = scan_metrics
+
+ return arch_result
+
+
+def _run_sentrux_scan(project_path: Path) -> dict | None:
+ """Run ``sentrux scan .`` and return the 5 individual metrics, or None on failure."""
+ try:
+ result = subprocess.run(
+ ["sentrux", "scan", "."],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=120,
+ )
+ except (subprocess.TimeoutExpired, OSError):
+ return None
+
+ try:
+ data = json.loads(result.stdout.strip())
+ except (json.JSONDecodeError, ValueError):
+ return None
+
+ metric_keys = ("modularity", "acyclicity", "depth", "equality", "redundancy")
+ metrics = {}
+ for key in metric_keys:
+ val = data.get(key)
+ if val is not None:
+ metrics[key] = round(float(val), 4)
+
+ return metrics if metrics else None
+
# ── Public API ─────────────────────────────────────────────────────
@@ -327,8 +347,16 @@ def _collect_test_and_coverage(project_path: Path, timeout: int = 300) -> tuple[
if cov_frag is not None:
cov_fragments.append(cov_frag)
- test_result = _aggregate(test_fragments, "tests") if test_fragments else _neutral("tests", "no test suite detected")
- cov_result = _aggregate(cov_fragments, "coverage") if cov_fragments else _neutral("coverage", "no coverage tool detected")
+ test_result = (
+ _aggregate(test_fragments, "tests")
+ if test_fragments
+ else _neutral("tests", "no test suite detected")
+ )
+ cov_result = (
+ _aggregate(cov_fragments, "coverage")
+ if cov_fragments
+ else _neutral("coverage", "no coverage tool detected")
+ )
return test_result, cov_result
diff --git a/factory/eval/languages/node.py b/factory/eval/languages/node.py
index 9e3f77703..91c844edd 100644
--- a/factory/eval/languages/node.py
+++ b/factory/eval/languages/node.py
@@ -2,12 +2,30 @@
from __future__ import annotations
+import json
import re
from pathlib import Path
from factory.eval.languages.base import EvalFragment, _run_cmd
+def _detect_test_runner(project_path: Path) -> str:
+ """Detect the test runner from package.json devDependencies and scripts."""
+ pkg_path = project_path / "package.json"
+ if not pkg_path.exists():
+ return "jest"
+ try:
+ pkg = json.loads(pkg_path.read_text())
+ except (json.JSONDecodeError, OSError):
+ return "jest"
+ deps = {**pkg.get("devDependencies", {}), **pkg.get("dependencies", {})}
+ scripts = pkg.get("scripts", {})
+ test_script = scripts.get("test", "")
+ if "vitest" in deps or "vitest" in test_script:
+ return "vitest"
+ return "jest"
+
+
class NodeEvaluator:
@property
def name(self) -> str:
@@ -16,7 +34,7 @@ def name(self) -> str:
def detect(self, project_path: Path) -> bool:
return (project_path / "package.json").exists()
- def run_tests_with_coverage(
+ def _run_jest_with_coverage(
self, project_path: Path, timeout: int = 300,
) -> tuple[EvalFragment | None, EvalFragment | None]:
rc, stdout, stderr = _run_cmd(
@@ -26,8 +44,20 @@ def run_tests_with_coverage(
],
project_path, timeout=timeout,
)
- output = stdout + stderr
+ return self._parse_test_output(project_path, stdout + stderr)
+ def _run_vitest_with_coverage(
+ self, project_path: Path, timeout: int = 300,
+ ) -> tuple[EvalFragment | None, EvalFragment | None]:
+ rc, stdout, stderr = _run_cmd(
+ ["npx", "vitest", "run", "--coverage"],
+ project_path, timeout=timeout,
+ )
+ return self._parse_test_output(project_path, stdout + stderr)
+
+ def _parse_test_output(
+ self, project_path: Path, output: str,
+ ) -> tuple[EvalFragment | None, EvalFragment | None]:
test_frag: EvalFragment | None = None
p_match = re.search(r"(\d+)\s+passed", output)
f_match = re.search(r"(\d+)\s+failed", output)
@@ -44,6 +74,8 @@ def run_tests_with_coverage(
cov_frag: EvalFragment | None = None
cov_match = re.search(r"Statements\s*:\s*([\d.]+)%", output)
+ if not cov_match:
+ cov_match = re.search(r"All files\s*\|\s*([\d.]+)", output)
if cov_match:
pct = float(cov_match.group(1))
cov_frag = EvalFragment(
@@ -56,6 +88,14 @@ def run_tests_with_coverage(
return test_frag, cov_frag
+ def run_tests_with_coverage(
+ self, project_path: Path, timeout: int = 300,
+ ) -> tuple[EvalFragment | None, EvalFragment | None]:
+ runner = _detect_test_runner(project_path)
+ if runner == "vitest":
+ return self._run_vitest_with_coverage(project_path, timeout=timeout)
+ return self._run_jest_with_coverage(project_path, timeout=timeout)
+
def run_tests(self, project_path: Path, timeout: int = 300) -> EvalFragment | None:
test_frag, _ = self.run_tests_with_coverage(project_path, timeout=timeout)
return test_frag
diff --git a/factory/eval/runner.py b/factory/eval/runner.py
index 902cdb81c..58b7c69ed 100644
--- a/factory/eval/runner.py
+++ b/factory/eval/runner.py
@@ -21,25 +21,13 @@
from factory.eval.growth import compute_growth_results
from factory.eval.hygiene import compute_hygiene_results
from factory.eval.scorer import compute_composite
-from factory.models import CompositeScore, EvalResult, EvalWeights, ProjectEvalDimension, TierWeights
-
-
-def _error_score(message: str, details: str = "") -> CompositeScore:
- """Return a CompositeScore representing an error."""
- return CompositeScore(
- total=0.0,
- results=[
- EvalResult(
- name="error",
- score=0.0,
- weight=1.0,
- passed=False,
- details=details or message,
- )
- ],
- guard_violations=[],
- passed=False,
- )
+from factory.models import (
+ CompositeScore,
+ EvalResult,
+ EvalWeights,
+ ProjectEvalDimension,
+ TierWeights,
+)
def _effective_weights(
@@ -159,9 +147,7 @@ async def _run_project_eval(
cwd=project_path,
env=env,
)
- stdout_bytes, stderr_bytes = await asyncio.wait_for(
- proc.communicate(), timeout=timeout
- )
+ stdout_bytes, stderr_bytes = await asyncio.wait_for(proc.communicate(), timeout=timeout)
except asyncio.TimeoutError:
proc.kill() # type: ignore[union-attr]
await proc.wait() # type: ignore[union-attr]
@@ -196,20 +182,24 @@ async def _run_single_project_dimension(
cwd=project_path,
env=env,
)
- stdout_bytes, stderr_bytes = await asyncio.wait_for(
- proc.communicate(), timeout=dim.timeout
- )
+ stdout_bytes, stderr_bytes = await asyncio.wait_for(proc.communicate(), timeout=dim.timeout)
except asyncio.TimeoutError:
proc.kill() # type: ignore[union-attr]
await proc.wait() # type: ignore[union-attr]
return EvalResult(
- name=dim.name, score=0.0, weight=dim.weight,
- passed=False, details=f"Timed out after {dim.timeout}s",
+ name=dim.name,
+ score=0.0,
+ weight=dim.weight,
+ passed=False,
+ details=f"Timed out after {dim.timeout}s",
)
except FileNotFoundError:
return EvalResult(
- name=dim.name, score=0.0, weight=dim.weight,
- passed=False, details=f"Command not found: {parts[0]}",
+ name=dim.name,
+ score=0.0,
+ weight=dim.weight,
+ passed=False,
+ details=f"Command not found: {parts[0]}",
)
stdout = stdout_bytes.decode()
@@ -221,21 +211,29 @@ async def _run_single_project_dimension(
raw_score = float(data.get("score", 0.0))
score = max(0.0, min(1.0, raw_score))
return EvalResult(
- name=dim.name, score=score, weight=dim.weight,
+ name=dim.name,
+ score=score,
+ weight=dim.weight,
passed=score >= 0.5,
details=str(data.get("details", stdout[:500])),
)
except (json.JSONDecodeError, KeyError, TypeError, ValueError):
return EvalResult(
- name=dim.name, score=0.0, weight=dim.weight,
- passed=False, details=f"Invalid JSON: {stdout[:200]}",
+ name=dim.name,
+ score=0.0,
+ weight=dim.weight,
+ passed=False,
+ details=f"Invalid JSON: {stdout[:200]}",
)
# exit_code parse mode
passed = proc.returncode == 0
return EvalResult(
- name=dim.name, score=1.0 if passed else 0.0, weight=dim.weight,
- passed=passed, details=(stdout or stderr).strip()[-500:],
+ name=dim.name,
+ score=1.0 if passed else 0.0,
+ weight=dim.weight,
+ passed=passed,
+ details=(stdout or stderr).strip()[-500:],
)
@@ -293,6 +291,7 @@ async def run_eval(
# Step 4b: Auto-promote executable eval_spec items to project eval
if eval_spec and not skip_project_eval:
from factory.discovery.eval_spec import generate_project_eval_from_spec
+
auto_promoted = generate_project_eval_from_spec(eval_spec, project_path)
if auto_promoted:
auto_results = await _run_custom_project_eval(auto_promoted, project_path)
@@ -301,16 +300,20 @@ async def run_eval(
# Convert TierWeights to sparse override dicts
h_overrides = (
{k: v for k, v in hygiene_weights.model_dump().items() if v is not None}
- if hygiene_weights else None
+ if hygiene_weights
+ else None
)
g_overrides = (
{k: v for k, v in growth_weights.model_dump().items() if v is not None}
- if growth_weights else None
+ if growth_weights
+ else None
)
# Step 5: Merge all dimensions with weight split
merged = _merge_all(
- hygiene_results, project_results, growth_results,
+ hygiene_results,
+ project_results,
+ growth_results,
custom_project_results=custom_results,
eval_weights=eval_weights,
hygiene_weight_overrides=h_overrides or None,
diff --git a/factory/graph.py b/factory/graph.py
new file mode 100644
index 000000000..5c3bd9ab5
--- /dev/null
+++ b/factory/graph.py
@@ -0,0 +1,143 @@
+"""Graphify integration — extract, update, and query code knowledge graphs."""
+
+from __future__ import annotations
+
+import json
+import shutil
+import subprocess
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+GRAPH_FILE = "graph.json"
+GRAPHIFY_OUT_DIR = ".factory/graphify-out"
+
+
+def _graph_path(project_path: Path) -> Path:
+ return project_path / GRAPH_FILE
+
+
+def is_graphify_installed() -> bool:
+ """Check whether the graphify CLI is available on PATH."""
+ return shutil.which("graphify") is not None
+
+
+def is_graph_available(project_path: Path) -> bool:
+ """Check whether a graph.json exists for the given project."""
+ return _graph_path(project_path).is_file()
+
+
+def graph_stats(project_path: Path) -> dict[str, int] | None:
+ """Return node/edge counts from graph.json, or None if unavailable."""
+ gpath = _graph_path(project_path)
+ if not gpath.is_file():
+ return None
+ try:
+ data = json.loads(gpath.read_text(encoding="utf-8"))
+ nodes = data.get("nodes", [])
+ edges = data.get("edges", data.get("links", []))
+ return {"nodes": len(nodes), "edges": len(edges)}
+ except (json.JSONDecodeError, OSError) as exc:
+ log.warning("graph.stats.failed", error=str(exc))
+ return None
+
+
+def is_graph_stale(project_path: Path) -> bool | None:
+ """Compare graph.json mtime against latest git commit timestamp.
+
+ Returns True if stale, False if fresh, None if comparison not possible.
+ """
+ gpath = _graph_path(project_path)
+ if not gpath.is_file():
+ return None
+
+ try:
+ graph_mtime = gpath.stat().st_mtime
+ except OSError:
+ return None
+
+ try:
+ result = subprocess.run(
+ ["git", "log", "-1", "--format=%ct"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=10,
+ )
+ if result.returncode != 0 or not result.stdout.strip():
+ return None
+ latest_commit_ts = float(result.stdout.strip())
+ except (subprocess.TimeoutExpired, FileNotFoundError, ValueError):
+ return None
+
+ return graph_mtime < latest_commit_ts
+
+
+def _run_graphify(project_path: Path, extra_args: list[str] | None = None) -> Path | None:
+ """Run graphify extract and copy graph.json to the project root.
+
+ Graphify writes to .factory/graphify-out/ (cache, reports, etc.).
+ The graph.json is then copied to the project root for easy access.
+ Returns path to root graph.json on success, None on failure.
+ """
+ if not is_graphify_installed():
+ log.warning("graph.extract.skipped", reason="graphify not installed")
+ return None
+
+ factory_dir = project_path / ".factory"
+ factory_dir.mkdir(parents=True, exist_ok=True)
+
+ cmd = [
+ "graphify",
+ "extract",
+ str(project_path),
+ "--code-only",
+ "--out",
+ str(factory_dir),
+ ]
+ if extra_args:
+ cmd.extend(extra_args)
+
+ try:
+ result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
+ except (subprocess.TimeoutExpired, FileNotFoundError) as exc:
+ log.error("graph.extract.failed", error=str(exc))
+ return None
+
+ if result.returncode != 0:
+ log.error(
+ "graph.extract.failed",
+ returncode=result.returncode,
+ stderr=result.stderr[:500],
+ )
+ return None
+
+ graphify_out = project_path / GRAPHIFY_OUT_DIR / GRAPH_FILE
+ if not graphify_out.is_file():
+ log.error("graph.extract.no_output", expected=str(graphify_out))
+ return None
+
+ gpath = _graph_path(project_path)
+ shutil.copy2(graphify_out, gpath)
+
+ stats = graph_stats(project_path)
+ log.info("graph.extract.complete", output=str(gpath), **(stats or {}))
+ return gpath
+
+
+def extract_graph(project_path: Path) -> Path | None:
+ """Run graphify extract on the project directory.
+
+ Returns path to root graph.json on success, None on failure.
+ """
+ return _run_graphify(project_path)
+
+
+def update_graph(project_path: Path) -> Path | None:
+ """Run graphify extract with --update for incremental refresh.
+
+ Returns path to root graph.json on success, None on failure.
+ """
+ return _run_graphify(project_path, extra_args=["--update"])
diff --git a/factory/inner_loop.py b/factory/inner_loop.py
new file mode 100644
index 000000000..6d32f7cf8
--- /dev/null
+++ b/factory/inner_loop.py
@@ -0,0 +1,497 @@
+"""InnerLoop — model-like wrapper for mode + evaluator that an outer-loop optimizer calls.
+
+CycleAnalyzer handles execution tracing (what agents ran, costs, verdicts).
+Evaluator handles score interpretation (parses evaluator-specific output artifacts).
+InnerLoop composes both.
+
+Usage:
+ evaluator = CirclePackingEvaluator()
+ loop = InnerLoop(project_dir, mode="evolve", evaluator=evaluator)
+
+ for i in range(budget):
+ result = loop.step()
+ if result.score_end > target:
+ break
+"""
+
+from __future__ import annotations
+
+import json
+import shlex
+import subprocess
+import sys
+import time
+import warnings
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Protocol, runtime_checkable
+
+from factory.cycle_analyzer import CycleAnalyzer, CycleRecord
+from factory.workflow.primitives import Workflow
+
+
+@dataclass
+class EvalResult:
+ """Structured evaluator output."""
+
+ score: float
+ metrics: dict[str, float] = field(default_factory=dict)
+ valid: bool = True
+ artifacts: list[str] = field(default_factory=list)
+
+
+@runtime_checkable
+class Evaluator(Protocol):
+ """Interface for parsing evaluator-specific output artifacts.
+
+ Each implementation knows the output format of one evaluator.
+ It reads artifact files that the inner loop already produced —
+ it doesn't run the evaluator itself.
+ """
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ """Parse an evaluator output artifact into a structured EvalResult."""
+ ...
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ """Parse multiple artifacts, returning the most recent/best result."""
+ ...
+
+ def get_info(self) -> dict:
+ """Return static info about this evaluator (name, target, etc.)."""
+ ...
+
+
+class CirclePackingEvaluator:
+ """Parses output artifacts from skydiscover's circle packing evaluator.
+
+ Knows how to read JSON files with the schema:
+ {sum_radii, target_ratio, validity, eval_time, combined_score}
+ """
+
+ def __init__(self, target: float = 2.635) -> None:
+ self.target = target
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text())
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+ return EvalResult(
+ score=float(data.get("combined_score", 0.0)),
+ metrics={k: float(v) for k, v in data.items() if isinstance(v, (int, float))},
+ valid=data.get("validity", 0.0) == 1.0,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ best = EvalResult(score=0.0, valid=False)
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.score > best.score:
+ best = result
+ return best
+
+ def get_info(self) -> dict:
+ return {
+ "benchmark": "circle_packing",
+ "target": self.target,
+ "metrics": ["sum_radii", "target_ratio", "validity", "eval_time", "combined_score"],
+ }
+
+
+class InnerLoop:
+ """Wraps a factory mode + evaluator. Optimizer calls loop.step().
+
+ frozen_nodes declares which workflow nodes are immutable during outer-loop
+ optimization. Node-only: edges remain mutable. Orthogonal to file-level
+ mutable_surfaces/fixed_surfaces in FactoryConfig. The outer loop is
+ responsible for checking is_mutable() before modifying nodes.
+ """
+
+ def __init__(
+ self,
+ project_dir: Path,
+ mode: str = "evolve",
+ evaluator: Evaluator | None = None,
+ workflow: Workflow | None = None,
+ frozen_nodes: frozenset[str] = frozenset(),
+ test_command: str = "",
+ test_format: str = "pytest",
+ metric_path: str = "score",
+ ) -> None:
+ self.project_dir = Path(project_dir).resolve()
+ self.factory_dir = self.project_dir / ".factory"
+ self.mode = mode
+ self.evaluator = evaluator
+ self.workflow = workflow
+ self.frozen_nodes = frozenset(frozen_nodes)
+ self.test_command = test_command
+ self.test_format = test_format
+ self.metric_path = metric_path
+ self._step_count = 0
+ self._history: list[CycleRecord] = []
+ self._validate_frozen_nodes()
+
+ def _validate_frozen_nodes(self) -> None:
+ if not self.frozen_nodes or self.workflow is None:
+ return
+ invalid = self.frozen_nodes - self.workflow.nodes.keys()
+ if invalid:
+ raise ValueError(
+ f"frozen_nodes contains IDs not in workflow.nodes: {sorted(invalid)}"
+ )
+ if len(self.frozen_nodes) == len(self.workflow.nodes):
+ warnings.warn(
+ "All nodes are frozen — outer loop has no mutable surface",
+ stacklevel=3,
+ )
+
+ def is_mutable(self, node_id: str) -> bool:
+ """Return True if node can be modified by the outer loop."""
+ if self.workflow is None:
+ return True
+ if node_id not in self.workflow.nodes:
+ raise ValueError(f"Unknown node ID: {node_id!r}")
+ return node_id not in self.frozen_nodes
+
+ def mutable_nodes(self) -> set[str]:
+ """Return the set of node IDs the outer loop may modify."""
+ if self.workflow is None:
+ return set()
+ return set(self.workflow.nodes.keys()) - self.frozen_nodes
+
+ def immutable_nodes(self) -> set[str]:
+ """Return the set of frozen node IDs."""
+ return set(self.frozen_nodes)
+
+ @staticmethod
+ def _count_lines(path: Path) -> int:
+ if not path.exists():
+ return 0
+ return len(path.read_text().splitlines())
+
+ @staticmethod
+ def _count_tsv_data_rows(path: Path) -> int:
+ if not path.exists():
+ return 0
+ lines = path.read_text().splitlines()
+ return max(0, len(lines) - 1)
+
+ def step(self, directives: dict[str, Any] | None = None) -> CycleRecord:
+ """Run one inner-loop cycle and return structured results.
+
+ 1. Write directives (steering from outer loop) if provided
+ 2. Snapshot artifact offsets for isolation
+ 3. Run the factory mode via subprocess
+ 4. Write cycle_summary.json with observable outcomes
+ 5. CycleAnalyzer reads only new execution artifacts (scoped by offset)
+ 6. Evaluator parses eval-specific artifacts (scores, metrics)
+ 7. Return composed CycleRecord
+ """
+ if directives:
+ self._write_directives(directives)
+
+ event_offset = self._count_lines(self.factory_dir / "events.jsonl")
+ tsv_offset = self._count_tsv_data_rows(self.factory_dir / "results.tsv")
+
+ head_before = self._get_git_head()
+ t0 = time.monotonic()
+
+ result = subprocess.run(
+ [sys.executable, "-m", "factory", "ceo", str(self.project_dir),
+ "--mode", self.mode, "--headless", "--no-worktree"],
+ cwd=self.project_dir,
+ )
+
+ duration_ms = int((time.monotonic() - t0) * 1000)
+ head_after = self._get_git_head()
+ builder_committed = (
+ head_before is not None
+ and head_after is not None
+ and head_before != head_after
+ )
+
+ record = self._collect_results(
+ event_offset=event_offset, tsv_offset=tsv_offset,
+ )
+
+ test_score, test_details = self._run_test_command() if self.test_command else (None, None)
+
+ self._write_cycle_summary(
+ returncode=result.returncode,
+ event_offset=event_offset,
+ duration_ms=duration_ms,
+ builder_committed=builder_committed,
+ experiments=len(record.experiments),
+ test_score=test_score,
+ test_details=test_details,
+ )
+
+ if result.returncode != 0:
+ record.errored = (record.errored or 0) + 1
+ record.cycle_number = self._step_count + 1
+ self._step_count += 1
+ self._history.append(record)
+ return record
+
+ def collect(self) -> CycleRecord:
+ """Collect results without running a cycle. Useful after manual runs."""
+ return self._collect_results()
+
+ def score_trajectory(self) -> list[float]:
+ """Score history across all steps."""
+ if self._history:
+ return [r.score_end for r in self._history if r.score_end is not None]
+ analyzer = CycleAnalyzer(self.factory_dir, workflow=self.workflow)
+ return analyzer.trajectory()
+
+ def total_cost(self) -> float:
+ """Cumulative cost across all steps."""
+ return sum(r.total_cost_usd for r in self._history)
+
+ def history(self) -> list[CycleRecord]:
+ """All cycle records from this session."""
+ return list(self._history)
+
+ def _collect_results(
+ self,
+ event_offset: int = 0,
+ tsv_offset: int = 0,
+ ) -> CycleRecord:
+ """Read execution artifacts + eval artifacts, compose into CycleRecord."""
+ analyzer = CycleAnalyzer(
+ self.factory_dir,
+ workflow=self.workflow,
+ event_offset=event_offset,
+ tsv_offset=tsv_offset,
+ )
+ record = analyzer.latest()
+ if record is None:
+ record = CycleRecord(
+ cycle_number=0,
+ mode=self.mode,
+ started_at=None,
+ ended_at=None,
+ duration_s=0,
+ score_start=None,
+ score_end=None,
+ score_delta=None,
+ )
+
+ if record.mode is None:
+ record.mode = self.mode
+
+ record.frozen_nodes = sorted(self.frozen_nodes)
+ record.mutable_node_ids = sorted(self.mutable_nodes())
+
+ if self.evaluator and record.experiments:
+ for exp in record.experiments:
+ eval_files = [
+ Path(a) for a in exp.eval_artifacts
+ if a.endswith(".json") and "eval" in Path(a).name
+ ]
+ if eval_files:
+ eval_result = self.evaluator.parse_many(eval_files)
+ if eval_result.valid:
+ exp.score_after = eval_result.score
+
+ last_eval_files = [
+ Path(a) for exp in record.experiments
+ for a in exp.eval_artifacts
+ if a.endswith(".json") and "eval" in Path(a).name
+ ]
+ if last_eval_files:
+ final = self.evaluator.parse(last_eval_files[-1])
+ record.score_end = final.score
+
+ return record
+
+ def _get_git_head(self) -> str | None:
+ try:
+ result = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=self.project_dir,
+ capture_output=True,
+ text=True,
+ timeout=10,
+ )
+ return result.stdout.strip() if result.returncode == 0 else None
+ except Exception:
+ return None
+
+ def _run_test_command(self) -> tuple[float | None, dict[str, Any] | None]:
+ """Run the configured test command and return (score, details).
+
+ Dispatches output parsing based on self.test_format:
+ - pytest: parse stdout for pass/fail counts
+ - exit_code: binary pass/fail from returncode
+ - json: parse stdout as JSON, extract metric
+ - exact_match: compare output to expected answer
+ """
+ try:
+ result = subprocess.run(
+ shlex.split(self.test_command),
+ cwd=self.project_dir,
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+ return self._parse_test_output(result)
+ except subprocess.TimeoutExpired:
+ return 0.0, {"error": "test_command_timeout"}
+ except Exception as exc:
+ return None, {"error": str(exc)}
+
+ def _parse_test_output(
+ self, result: subprocess.CompletedProcess[str],
+ ) -> tuple[float, dict[str, Any]]:
+ """Parse test command output based on test_format."""
+ if self.test_format == "exit_code":
+ score = 1.0 if result.returncode == 0 else 0.0
+ return score, {
+ "returncode": result.returncode,
+ "passed": score,
+ "test_format": "exit_code",
+ }
+
+ if self.test_format == "json":
+ try:
+ data = json.loads(result.stdout)
+ obj: Any = data
+ for key in self.metric_path.split("."):
+ obj = obj[key]
+ score = float(obj)
+ return score, {
+ "score": score,
+ "test_format": "json",
+ "test_returncode": result.returncode,
+ **{k: v for k, v in data.items() if isinstance(v, (int, float))},
+ }
+ except (json.JSONDecodeError, TypeError, ValueError, KeyError):
+ return 0.0, {"error": "json_parse_failed", "test_format": "json"}
+
+ if self.test_format == "exact_match":
+ output = result.stdout.strip()
+ expected_path = self.project_dir / "expected_answer.txt"
+ if not expected_path.exists():
+ expected_path = self.project_dir / "expected.txt"
+ if not expected_path.exists():
+ return 0.0, {"error": "expected_answer_file_missing", "test_format": "exact_match"}
+ expected = expected_path.read_text(errors="replace").strip()
+ score = 1.0 if output == expected else 0.0
+ return score, {
+ "match": score,
+ "test_format": "exact_match",
+ "test_returncode": result.returncode,
+ }
+
+ from factory.outer_loop.featurebench_evaluator import parse_pytest_stdout
+ metrics = parse_pytest_stdout(result.stdout)
+ pass_rate = metrics.get("pass_rate", 0.0)
+ return pass_rate, {
+ "tests_passed": metrics.get("tests_passed", 0.0),
+ "tests_total": metrics.get("tests_total", 0.0),
+ "pass_rate": pass_rate,
+ "test_returncode": result.returncode,
+ "test_format": "pytest",
+ }
+
+ def _write_cycle_summary(
+ self,
+ returncode: int,
+ event_offset: int,
+ duration_ms: int,
+ builder_committed: bool,
+ experiments: int,
+ test_score: float | None = None,
+ test_details: dict[str, Any] | None = None,
+ ) -> Path:
+ """Write a structured summary of observable outcomes from this cycle."""
+ events_path = self.factory_dir / "events.jsonl"
+
+ agents_spawned = 0
+ agents_succeeded = 0
+ agents_failed = 0
+ total_cost = 0.0
+
+ if events_path.exists():
+ for idx, line in enumerate(events_path.read_text().splitlines()):
+ if idx < event_offset:
+ continue
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ e = json.loads(line)
+ except (json.JSONDecodeError, TypeError):
+ continue
+ etype = e.get("type", "")
+ if etype == "agent.started":
+ agents_spawned += 1
+ elif etype == "agent.completed":
+ agents_succeeded += 1
+ total_cost += e.get("data", {}).get("total_cost_usd", 0) or 0
+ elif etype == "agent.failed":
+ agents_failed += 1
+
+ heuristic_score = 0.0
+ if agents_spawned > 0:
+ heuristic_score += 0.2
+ if builder_committed:
+ heuristic_score += 0.2
+ if returncode == 0:
+ heuristic_score += 0.2
+ if agents_failed == 0 and agents_spawned > 0:
+ heuristic_score += 0.2
+ if experiments > 0:
+ heuristic_score += 0.2
+
+ score = test_score if test_score is not None else heuristic_score
+
+ errors: list[str] = []
+ if returncode != 0:
+ errors.append(f"subprocess exited with code {returncode}")
+
+ summary: dict[str, Any] = {
+ "mode": self.mode,
+ "score": round(score, 4),
+ "scoring_method": "pytest_pass_rate" if test_score is not None else "heuristic",
+ "heuristic_score": round(heuristic_score, 2),
+ "cost_usd": round(total_cost, 2),
+ "agents_spawned": agents_spawned,
+ "agents_succeeded": agents_succeeded,
+ "agents_failed": agents_failed,
+ "builder_committed": builder_committed,
+ "tests_passed": returncode == 0,
+ "experiments": experiments,
+ "duration_ms": duration_ms,
+ "errors": errors,
+ }
+ if test_details:
+ summary["test_details"] = test_details
+
+ summary_dir = self.factory_dir / "outer_loop" / "runs" / self.mode
+ summary_dir.mkdir(parents=True, exist_ok=True)
+ summary_path = summary_dir / "cycle_summary.json"
+ summary_path.write_text(json.dumps(summary, indent=2) + "\n")
+
+ return summary_path
+
+ def _write_directives(self, directives: dict[str, Any]) -> None:
+ """Write outer-loop directives as a factory message."""
+ if self.frozen_nodes:
+ directives['frozen_nodes'] = sorted(self.frozen_nodes)
+ msg_dir = self.factory_dir / "messages"
+ msg_dir.mkdir(parents=True, exist_ok=True)
+ msg_id = f"outer-loop-{self._step_count:04d}"
+ msg_path = msg_dir / f"{msg_id}.md"
+
+ lines = ["# Outer Loop Directives\n"]
+ for key, value in directives.items():
+ if isinstance(value, list):
+ lines.append(f"- **{key}:** {', '.join(str(v) for v in value)}")
+ else:
+ lines.append(f"- **{key}:** {value}")
+
+ msg_path.write_text("\n".join(lines) + "\n")
diff --git a/factory/insights.py b/factory/insights.py
index cb41843f7..794f8d39d 100644
--- a/factory/insights.py
+++ b/factory/insights.py
@@ -73,19 +73,9 @@ def classify_hypothesis(text: str) -> str:
def discover_projects(projects_dir: Path) -> list[Path]:
- """Find all factory-managed projects by scanning for .factory/results.tsv."""
- if not projects_dir.exists():
- log.debug("discover_projects_skip", reason="dir_not_found", path=str(projects_dir))
- return []
- projects: list[Path] = []
- for child in sorted(projects_dir.iterdir()):
- if not child.is_dir():
- continue
- tsv = child / ".factory" / "results.tsv"
- if tsv.exists():
- projects.append(child)
- log.info("discover_projects_complete", count=len(projects), dir=str(projects_dir))
- return projects
+ """Deprecated: use factory.registry.discover_projects instead."""
+ from factory.registry import discover_projects as _discover
+ return _discover(projects_dir)
# ── history loading ──────────────────────────────────────────────
diff --git a/factory/issue.py b/factory/issue.py
index ec101b1d9..7eb3d909b 100644
--- a/factory/issue.py
+++ b/factory/issue.py
@@ -175,6 +175,73 @@ def is_issue_ref(ref: str) -> bool:
return False
+_NOISE_WORDS = frozenset({"issue", "issues", "and"})
+
+
+def parse_multi_issue_refs(text: str) -> list[str]:
+ """Extract multiple issue references from a single ``--focus`` string.
+
+ Splits on commas, "and", and whitespace, strips noise words
+ (``issue``, ``and``, ``#`` prefix on bare numbers). Returns a list
+ of individual refs that each pass ``is_issue_ref()``.
+
+ Only activates when ALL non-noise tokens are valid issue refs —
+ freeform text like ``"dashboard UI"`` returns an empty list.
+ """
+ text = text.strip()
+ if not text:
+ return []
+
+ parts = re.split(r"[,]+", text)
+
+ tokens: list[str] = []
+ for part in parts:
+ sub_tokens = part.strip().split()
+ i = 0
+ while i < len(sub_tokens):
+ token = sub_tokens[i].strip()
+ if not token or token.lower() in _NOISE_WORDS:
+ i += 1
+ continue
+ if token.startswith("#") and token[1:].isdigit():
+ tokens.append(token[1:])
+ i += 1
+ continue
+ if "/" in token and "#" not in token and not token.startswith("http"):
+ maybe_shorthand = []
+ while i < len(sub_tokens):
+ maybe_shorthand.append(sub_tokens[i].strip())
+ combined = " ".join(maybe_shorthand)
+ if is_issue_ref(combined):
+ tokens.append(combined)
+ i += 1
+ break
+ i += 1
+ else:
+ return []
+ continue
+ if token.startswith("http"):
+ tokens.append(token)
+ i += 1
+ continue
+ tokens.append(token)
+ i += 1
+
+ if not tokens:
+ return []
+
+ for t in tokens:
+ if not is_issue_ref(t):
+ return []
+
+ return tokens
+
+
+def has_multi_issue_refs(text: str) -> bool:
+ """Return True when *text* contains one or more parseable issue refs."""
+ return len(parse_multi_issue_refs(text)) > 0
+
+
def format_issue_as_spec(spec: IssueSpec) -> str:
"""Format an ``IssueSpec`` as a markdown build specification."""
lines = [f"# {spec.title}", ""]
diff --git a/factory/mempalace/__init__.py b/factory/mempalace/__init__.py
new file mode 100644
index 000000000..bcca2f175
--- /dev/null
+++ b/factory/mempalace/__init__.py
@@ -0,0 +1 @@
+"""MemPalace integration — read/write functions for study and archivist phases."""
diff --git a/factory/mempalace/helpers.py b/factory/mempalace/helpers.py
new file mode 100644
index 000000000..4a25fba7d
--- /dev/null
+++ b/factory/mempalace/helpers.py
@@ -0,0 +1,116 @@
+"""MemPalace API wrappers — the ONLY file that imports from mempalace.*
+
+All mempalace operations are wrapped here with try/except ImportError for
+graceful degradation when mempalace is not installed.
+"""
+
+from __future__ import annotations
+
+import contextlib
+import io
+import os
+from pathlib import Path
+
+
+def get_palace_path() -> str:
+ """Return the MemPalace palace directory path."""
+ return os.path.expanduser("~/.mempalace/palace")
+
+
+def get_project_name(project_path: Path) -> str:
+ """Return sanitized full resolved path as project identifier."""
+ return project_path.resolve().as_posix().replace(" ", "_")
+
+
+def get_kg():
+ """Return a KnowledgeGraph instance. Raises ImportError if mempalace not installed."""
+ from mempalace.knowledge_graph import KnowledgeGraph
+
+ return KnowledgeGraph()
+
+
+# ── Read wrappers ──────────────────────────────────────────────
+
+
+def search_episodes(palace: str, wing: str, query: str, n_results: int = 5) -> str:
+ """Search episodic memory via mempalace.searcher.search. Returns captured stdout."""
+ from mempalace.searcher import search
+
+ buf = io.StringIO()
+ with contextlib.redirect_stdout(buf):
+ search(query, palace, wing=wing, n_results=n_results)
+ return buf.getvalue()
+
+
+def kg_query_entity(
+ name: str,
+ direction: str = "both",
+ as_of: str | None = None,
+ kg: object | None = None,
+) -> list[dict]:
+ """Query KG for entity triples."""
+ if kg is None:
+ kg = get_kg()
+ return kg.query_entity(name, direction=direction, as_of=as_of) # type: ignore[union-attr]
+
+
+def kg_timeline(entity_name: str, kg: object | None = None) -> list[dict]:
+ """Get temporal timeline for an entity."""
+ if kg is None:
+ kg = get_kg()
+ return kg.timeline(entity_name=entity_name) # type: ignore[union-attr]
+
+
+def search_build_outcomes(
+ palace: str, wing: str, room: str, query: str, n_results: int = 20
+) -> str:
+ """Search build outcomes in a specific room. Returns captured stdout."""
+ from mempalace.searcher import search
+
+ buf = io.StringIO()
+ with contextlib.redirect_stdout(buf):
+ search(query, palace, wing=wing, room=room, n_results=n_results)
+ return buf.getvalue()
+
+
+# ── Write wrappers ─────────────────────────────────────────────
+
+
+def kg_add_triple(subject: str, predicate: str, obj: str, valid_from: str) -> None:
+ """Add a temporal KG triple."""
+ from mempalace.knowledge_graph import KnowledgeGraph
+
+ kg = KnowledgeGraph()
+ kg.add_triple(subject, predicate, obj, valid_from=valid_from)
+
+
+def kg_supersede(subject: str, predicate: str, old_obj: str, new_obj: str, at: str) -> None:
+ """Supersede a KG triple (marks old as ended, adds new)."""
+ from mempalace.knowledge_graph import KnowledgeGraph
+
+ kg = KnowledgeGraph()
+ kg.supersede(subject, predicate, old_obj, new_obj, at=at)
+
+
+def store_drawer(palace: str, wing: str, room: str, content: str, source_file: str) -> None:
+ """Store content as an episodic drawer in the palace."""
+ from mempalace.ids import make_drawer_id_from_content
+ from mempalace.miner import _build_drawer_metadata
+ from mempalace.palace import get_collection
+
+ collection = get_collection(palace, create=True)
+ drawer_id = make_drawer_id_from_content(wing, room, content)
+ metadata = _build_drawer_metadata(
+ wing=wing,
+ room=room,
+ source_file=source_file,
+ chunk_index=0,
+ agent="factory",
+ content=content,
+ source_mtime=None,
+ )
+ collection.upsert(
+ documents=[content],
+ ids=[drawer_id],
+ metadatas=[metadata],
+ )
diff --git a/factory/mempalace/reader.py b/factory/mempalace/reader.py
new file mode 100644
index 000000000..780523b4e
--- /dev/null
+++ b/factory/mempalace/reader.py
@@ -0,0 +1,148 @@
+"""MemPalace read operations — called from study_project_local()."""
+
+from __future__ import annotations
+
+from datetime import date
+from pathlib import Path
+
+from filelock import FileLock
+
+from .helpers import (
+ get_kg,
+ get_palace_path,
+ get_project_name,
+ kg_query_entity,
+ kg_timeline,
+ search_build_outcomes,
+ search_episodes,
+)
+
+
+def _extract_task_terms(task_hint: str, max_terms: int = 5) -> list[str]:
+ """Extract meaningful terms from task_hint for KG queries (lowercase, len >= 4)."""
+ return [w for w in task_hint.lower().split() if len(w) >= 4][:max_terms]
+
+
+def mp_read(project_path: Path, task_hint: str | None = None) -> str:
+ """Read MemPalace context: episodic search + KG query + timeline + build outcomes.
+
+ No-op if mempalace not installed.
+ """
+ try:
+ from mempalace.searcher import search # noqa: F401
+ except ImportError:
+ return ""
+
+ pn = get_project_name(project_path)
+ palace = get_palace_path()
+
+ with FileLock(project_path / ".factory/.mempalace.lock"):
+ memory_dir = project_path / ".factory/archive/memory"
+ memory_dir.mkdir(parents=True, exist_ok=True)
+
+ if task_hint:
+ query = task_hint
+ else:
+ obs = project_path / ".factory/strategy/observations.md"
+ query = " ".join(obs.read_text().split("\n")[:5]) if obs.exists() else pn
+
+ ep = memory_dir / "episodes.md"
+ try:
+ ep.write_text(search_episodes(palace, wing="project:" + pn, query=query, n_results=5))
+ except Exception:
+ ep.write_text("")
+
+ anti = memory_dir / "anti-patterns.md"
+ try:
+ anti_query = "failed reverted broken"
+ if task_hint:
+ anti_query += " " + task_hint
+ anti.write_text(
+ search_build_outcomes(
+ palace, wing="project:" + pn, room="failures",
+ query=anti_query, n_results=5,
+ )
+ )
+ except Exception:
+ anti.write_text("")
+
+ reviews_f = memory_dir / "reviews.md"
+ try:
+ reviews_query = task_hint if task_hint else "code review issues findings"
+ reviews_f.write_text(search_build_outcomes(
+ palace, wing="project:" + pn, room="reviews",
+ query=reviews_query, n_results=10,
+ ))
+ except Exception:
+ reviews_f.write_text("")
+
+ decisions_f = memory_dir / "decisions.md"
+ try:
+ decisions_query = task_hint if task_hint else "decision rationale tradeoff"
+ decisions_f.write_text(search_build_outcomes(
+ palace, wing="project:" + pn, room="decisions",
+ query=decisions_query, n_results=10,
+ ))
+ except Exception:
+ decisions_f.write_text("")
+
+ try:
+ shared_kg = get_kg()
+ except ImportError:
+ shared_kg = None
+
+ fk = memory_dir / "facts.md"
+ try:
+ rows = kg_query_entity(pn, direction="both", as_of=date.today().isoformat(), kg=shared_kg)
+ lines: list[str] = [
+ str(r["subject"]) + " " + str(r["predicate"]) + " " + str(r["object"])
+ for r in rows
+ ]
+ if task_hint and shared_kg is not None:
+ for term in _extract_task_terms(task_hint):
+ try:
+ term_rows = kg_query_entity(
+ term, direction="both", as_of=date.today().isoformat(), kg=shared_kg,
+ )
+ lines.extend(
+ str(r["subject"]) + " " + str(r["predicate"]) + " " + str(r["object"])
+ for r in term_rows
+ )
+ except Exception:
+ continue
+ fk.write_text("\n".join(lines))
+ except Exception:
+ fk.write_text("")
+
+ tl_f = memory_dir / "timeline.md"
+ try:
+ tl = kg_timeline(entity_name=pn, kg=shared_kg)
+ tl_f.write_text("\n".join(
+ str(r["valid_from"]) + ": " + str(r["subject"]) + " " + str(r["predicate"]) + " " + str(r["object"])
+ for r in tl
+ ))
+ except Exception:
+ tl_f.write_text("")
+
+ outcomes_query = task_hint if task_hint else "experiment verdict keep revert"
+ outcomes = memory_dir / "outcomes.md"
+ try:
+ outcomes.write_text(search_build_outcomes(
+ palace, wing="project:" + pn, room="experiments",
+ query=outcomes_query, n_results=20,
+ ))
+ except Exception:
+ outcomes.write_text("")
+
+ content = (
+ "## Episodic Memory (Task-Relevant)\n" + ep.read_text()
+ + "\n\n## Past QA Findings\n" + reviews_f.read_text()
+ + "\n\n## Design Rationale\n" + decisions_f.read_text()
+ + "\n\n## Anti-Patterns & Past Failures\n" + anti.read_text()
+ + "\n\n## Knowledge Graph Facts\n" + fk.read_text()
+ + "\n\n## Timeline\n" + tl_f.read_text()
+ + "\n\n## Experiment Outcomes\n" + outcomes.read_text()
+ )
+ ctx = memory_dir / "context.md"
+ ctx.write_text(content)
+ return content
diff --git a/factory/mempalace/writer.py b/factory/mempalace/writer.py
new file mode 100644
index 000000000..3ee7d8f4e
--- /dev/null
+++ b/factory/mempalace/writer.py
@@ -0,0 +1,199 @@
+"""MemPalace write operations — called via 'factory mempalace write'."""
+
+from __future__ import annotations
+
+import json
+import os
+from datetime import date, datetime, timezone
+from pathlib import Path
+
+from filelock import FileLock
+
+from .helpers import (
+ get_palace_path,
+ get_project_name,
+ kg_add_triple,
+ kg_supersede,
+ store_drawer,
+)
+
+
+def _record_design_decisions(project_path: Path, pn: str, today: str) -> None:
+ """Extract hypotheses, anti-patterns, and strategy from current.md into KG."""
+ current = project_path / ".factory/strategy/current.md"
+ if not current.exists():
+ return
+ text = current.read_text()
+ lines = text.split("\n")
+
+ for line in lines:
+ if line.startswith("#### H"):
+ title = line.replace("#### ", "").strip()
+ try:
+ kg_add_triple(pn, "has_hypothesis", title, valid_from=today)
+ except Exception:
+ pass
+
+ in_ap = False
+ for line in lines:
+ if "Anti-patterns" in line:
+ in_ap = True
+ continue
+ if in_ap and line.startswith("- "):
+ try:
+ kg_add_triple(pn, "rejected_approach", line[2:].strip(), valid_from=today)
+ except Exception:
+ pass
+ elif in_ap and line.startswith("#"):
+ break
+
+ summary = ""
+ for i, lne in enumerate(lines):
+ if lne.startswith("## Strategy"):
+ if i + 1 < len(lines):
+ summary = lines[i + 1].strip()
+ break
+ ts = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ try:
+ kg_add_triple(pn, "design_session", ts + ": " + summary, valid_from=today)
+ except Exception:
+ pass
+
+ headline = ""
+ for line in lines:
+ if line.startswith("## "):
+ headline = line[3:].strip()
+ break
+ try:
+ kg_supersede(pn, "current_strategy", "previous", headline, at=today)
+ except Exception:
+ pass
+
+
+def _store_episodic(project_path: Path, wing: str) -> None:
+ """Store experiment narratives, failures, reviews, research, and decisions as drawers."""
+ try:
+ palace = get_palace_path()
+
+ # experiments room — combined current.md + build.md narrative
+ current_file = project_path / ".factory/strategy/current.md"
+ build_file = project_path / ".factory/archive/build.md"
+ if current_file.exists() or build_file.exists():
+ parts: list[str] = []
+ if current_file.exists():
+ parts.append(current_file.read_text())
+ if build_file.exists():
+ parts.append(build_file.read_text())
+ store_drawer(
+ palace, wing=wing, room="experiments",
+ content="\n\n---\n\n".join(parts),
+ source_file=str(build_file) if build_file.exists() else str(current_file),
+ )
+
+ # failures room — gate reviews showing process failures + failing health checks
+ reviews_dir = project_path / ".factory/reviews"
+ if reviews_dir.exists():
+ for vf in reviews_dir.glob("ceo-verdict-*.md"):
+ try:
+ vtext = vf.read_text()
+ if any(kw in vtext for kw in ("REDIRECT", "ABORT")):
+ store_drawer(palace, wing=wing, room="failures", content=vtext, source_file=str(vf))
+ except Exception:
+ pass
+ hc = reviews_dir / "health-check.md"
+ if hc.exists():
+ try:
+ hc_text = hc.read_text()
+ if "FAIL" in hc_text or "REVERT" in hc_text:
+ store_drawer(palace, wing=wing, room="failures", content=hc_text, source_file=str(hc))
+ except Exception:
+ pass
+
+ # reviews room — each QA report as a separate drawer
+ for qa_name in ("code-review.md", "adversarial-qa.md", "health-check.md"):
+ qa_file = project_path / ".factory/reviews" / qa_name
+ if qa_file.exists():
+ try:
+ store_drawer(palace, wing=wing, room="reviews", content=qa_file.read_text(), source_file=str(qa_file))
+ except Exception:
+ pass
+
+ # research room — unchanged
+ research_file = project_path / ".factory/strategy/research-combined.md"
+ if research_file.exists():
+ store_drawer(
+ palace, wing=wing, room="research",
+ content=research_file.read_text(), source_file=str(research_file),
+ )
+
+ # decisions room — final experiment verdict from verdict.json
+ experiments_dir = project_path / ".factory/experiments"
+ if experiments_dir.exists():
+ exp_dirs = sorted(experiments_dir.iterdir(), reverse=True)
+ for exp_dir in exp_dirs[:3]:
+ vj = exp_dir / "verdict.json"
+ if vj.exists():
+ try:
+ store_drawer(palace, wing=wing, room="decisions", content=vj.read_text(), source_file=str(vj))
+ except Exception:
+ pass
+ except Exception:
+ pass
+
+
+def _update_eval_score(project_path: Path, pn: str, today: str) -> None:
+ """Supersede eval score in KG from last_eval.json."""
+ try:
+ eval_file = project_path / ".factory/last_eval.json"
+ if eval_file.exists():
+ data = json.loads(eval_file.read_text())
+ score = str(data.get("composite", 0.0))
+ kg_supersede(pn, "eval_score", "previous", score, at=today)
+ except Exception:
+ pass
+
+
+def _store_playbook_rules(pn: str, today: str) -> None:
+ """Store evolved playbook rules as KG triples."""
+ try:
+ playbooks = Path(os.path.expanduser("~/.factory/playbooks"))
+ if not playbooks.exists():
+ return
+ for rf in playbooks.glob("*.md"):
+ role = rf.stem
+ rule_lines = [ln for ln in rf.read_text().split("\n") if ln.startswith("- [")][:5]
+ for rl in rule_lines:
+ parts = rl.split(" :: ", 1)
+ rule = parts[1] if len(parts) > 1 else rl
+ try:
+ kg_supersede("playbook:" + role, "has_rule", "previous", rule, at=today)
+ except Exception:
+ pass
+ except Exception:
+ pass
+
+
+def mp_write(project_path: Path) -> str:
+ """Write project state to MemPalace: KG decisions + episodic storage + eval score + playbook rules.
+
+ No-op if mempalace not installed.
+ """
+ try:
+ from mempalace.knowledge_graph import KnowledgeGraph # noqa: F401
+ except ImportError:
+ return ""
+
+ pn = get_project_name(project_path)
+ today = date.today().isoformat()
+
+ with FileLock(project_path / ".factory/.mempalace.lock"):
+ # --- Section 1: Record design decisions (from record_design_decisions) ---
+ _record_design_decisions(project_path, pn, today)
+ # --- Section 2: Episodic storage (from archive_to_memory) ---
+ _store_episodic(project_path, wing="project:" + pn)
+ # --- Section 3: Update eval score in KG (from archive_to_memory) ---
+ _update_eval_score(project_path, pn, today)
+ # --- Section 4: Store playbook rules as KG triples ---
+ _store_playbook_rules(pn, today)
+
+ return "MemPalace archive complete for " + pn
diff --git a/factory/models.py b/factory/models.py
index 54d596ada..56136102d 100644
--- a/factory/models.py
+++ b/factory/models.py
@@ -5,7 +5,7 @@
from datetime import datetime
from enum import Enum
from pathlib import Path
-from typing import Literal, Protocol, runtime_checkable
+from typing import Literal
from pydantic import BaseModel, ConfigDict, Field, field_validator
@@ -179,6 +179,67 @@ class TierWeights(BaseModel):
spec_compliance: float | None = None
+class ParallelConfig(BaseModel):
+ """Parallel experiment execution configuration from factory.md."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ parallel_hypotheses: int = Field(default=1, ge=1, le=8)
+ selection_strategy: Literal["best_score"] = "best_score"
+
+
+class AdversarialComponent(BaseModel):
+ """One side of an adversarial eval loop (generator or discriminator)."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ role: Literal["generator", "discriminator"]
+ eval_command: str
+ metric_name: str
+ threshold: float
+ scope: list[str] = []
+ timeout: float = 300.0
+
+
+class AdversarialConfig(BaseModel):
+ """GAN-style adversarial eval loop configuration from factory.md."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ generator: AdversarialComponent
+ discriminator: AdversarialComponent
+ hysteresis: int = 3
+ max_rounds: int | None = None
+ convergence_window: int = 5
+
+
+class AdversarialPhaseRecord(BaseModel):
+ """One entry in the adversarial phase history."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ round: int
+ active_role: Literal["generator", "discriminator"]
+ score: float
+ metric_name: str
+ timestamp: str
+ switched: bool
+
+
+class AdversarialState(BaseModel):
+ """Persisted adversarial loop state at .factory/adversarial_state.json."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ active_role: Literal["generator", "discriminator"] = "generator"
+ current_round: int = 0
+ consecutive_above: int = 0
+ generator_consecutive_above: int = 0
+ discriminator_consecutive_above: int = 0
+ converged: bool = False
+ history: list[AdversarialPhaseRecord] = []
+
+
class FactoryConfig(BaseModel):
"""Machine-readable config stored at .factory/config.json."""
@@ -206,6 +267,8 @@ class FactoryConfig(BaseModel):
eval_spec: list[str] = []
hygiene_weights: TierWeights | None = None
growth_weights: TierWeights | None = None
+ adversarial: AdversarialConfig | None = None
+ parallel: ParallelConfig | None = None
clean_pr: bool = False
clean_pr_include: list[str] = []
clean_pr_exclude: list[str] = []
@@ -301,17 +364,6 @@ class ProjectProfile(BaseModel):
# ── experiments ───────────────────────────────────────────────────
-class Hypothesis(BaseModel):
- """A proposed change generated during the observe/hypothesize phase."""
-
- model_config = ConfigDict(strict=True, extra="forbid")
-
- description: str
- rationale: str
- expected_impact: str
- target_files: list[str]
-
-
class ExperimentRecord(BaseModel):
"""One row in results.tsv + the experiment directory."""
@@ -326,7 +378,7 @@ class ExperimentRecord(BaseModel):
score_before: float | None
score_after: float | None
delta: float | None
- verdict: Literal["keep", "revert", "error"]
+ verdict: Literal["keep", "revert", "error", "superseded"]
cost_usd: float | None
notes: str
research_citations: list[str] = []
@@ -341,7 +393,7 @@ class HypothesisOutcome(BaseModel):
model_config = ConfigDict(strict=True, extra="forbid")
hypothesis: str
- verdict: Literal["keep", "revert", "error"]
+ verdict: Literal["keep", "revert", "error", "superseded"]
category: str
project: str
delta: float | None = None
@@ -404,21 +456,6 @@ class AgentUsage(BaseModel):
model: str = ""
-# ── cost tracking ─────────────────────────────────────────────────
-
-
-class CostBudget(BaseModel):
- """Cost guardrails for factory sessions."""
-
- model_config = ConfigDict(strict=True, extra="forbid")
-
- per_experiment_max: float = 2.0
- per_session_max: float = 10.0
- per_month_max: float = 100.0
- current_session_spent: float = 0.0
- current_month_spent: float = 0.0
-
-
# ── session summary ──────────────────────────────────────────
@@ -454,10 +491,11 @@ class CycleState(BaseModel):
cycle_id: str
started_at: datetime
- mode: Literal["build", "discover", "improve", "meta", "research", "review"]
+ mode: str
initial_prompt: str = ""
respawns: int = 0
runner_name: str | None = None
+ claude_session_id: str | None = None
# ── ACE pipeline data ────────────────────────────────────────────
@@ -527,21 +565,6 @@ class ProjectRegistry(BaseModel):
updated_at: datetime
-# ── protocols ─────────────────────────────────────────────────────
-
-
-@runtime_checkable
-class Notifier(Protocol):
- """Interface for sending experiment digests."""
-
- async def send_digest(
- self,
- project_name: str,
- records: list[ExperimentRecord],
- composite: CompositeScore | None,
- ) -> None: ...
-
-
# ── refinement state ─────────────────────────────────────────────
@@ -574,6 +597,7 @@ class AgentRunRequest(BaseModel):
model_config = ConfigDict(strict=True, extra="forbid")
prompt: str
+ prompt_core: str = ""
task: str
cwd: Path
timeout: float = 600.0
@@ -581,6 +605,8 @@ class AgentRunRequest(BaseModel):
skip_permissions: bool = True
role: str = "unknown"
session_name: str | None = None
+ session_id: str | None = None
+ resume_session_id: str | None = None
project_path: Path | None = None
extras: dict[str, object] = {}
diff --git a/factory/obsidian/notes.py b/factory/obsidian/notes.py
index e32583fa4..cfb773fc0 100644
--- a/factory/obsidian/notes.py
+++ b/factory/obsidian/notes.py
@@ -139,54 +139,41 @@ def _ensure_dir(path: Path) -> None:
# ── Obsidian CLI wrappers ────────────────────────────────────
-def _obsidian_available() -> bool:
- """Check if the obsidian CLI is available and Obsidian is running."""
- try:
- result = subprocess.run(
- ["obsidian", "vault", "list"],
- capture_output=True, text=True, timeout=5,
- )
- return result.returncode == 0
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return False
-
-
def _obsidian_create(name: str, content: str, vault: str = "factory") -> bool:
"""Create a note via obsidian-cli. Returns True on success."""
try:
result = subprocess.run(
[
- "obsidian", "create",
- f"vault={vault}", f"name={name}", f"content={content}", "silent",
+ "obsidian",
+ "create",
+ f"vault={vault}",
+ f"name={name}",
+ f"content={content}",
+ "silent",
],
- capture_output=True, text=True, timeout=10,
+ capture_output=True,
+ text=True,
+ timeout=10,
)
return result.returncode == 0
except (FileNotFoundError, subprocess.TimeoutExpired):
return False
-def _obsidian_read(name: str, vault: str = "factory") -> str | None:
- """Read a note via obsidian-cli. Returns content or None."""
- try:
- result = subprocess.run(
- ["obsidian", "read", f"vault={vault}", f"file={name}"],
- capture_output=True, text=True, timeout=10,
- )
- return result.stdout if result.returncode == 0 else None
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return None
-
-
def _obsidian_search(query: str, vault: str = "factory", limit: int = 10) -> str | None:
"""Search the vault via obsidian-cli. Returns results or None."""
try:
result = subprocess.run(
[
- "obsidian", "search",
- f"vault={vault}", f"query={query}", f"limit={limit}",
+ "obsidian",
+ "search",
+ f"vault={vault}",
+ f"query={query}",
+ f"limit={limit}",
],
- capture_output=True, text=True, timeout=10,
+ capture_output=True,
+ text=True,
+ timeout=10,
)
return result.stdout if result.returncode == 0 else None
except (FileNotFoundError, subprocess.TimeoutExpired):
@@ -194,7 +181,9 @@ def _obsidian_search(query: str, vault: str = "factory", limit: int = 10) -> str
def obsidian_search_vault(
- query: str, vault: str = "factory", limit: int = 10,
+ query: str,
+ vault: str = "factory",
+ limit: int = 10,
) -> str | None:
"""Search the factory vault. Returns results from obsidian-cli, or None if unavailable."""
return _obsidian_search(query, vault, limit)
@@ -292,7 +281,9 @@ def write_experiment_note(
Returns ``None`` when the vault is not configured.
"""
- log.debug("write_experiment_note", project=project_name, exp_id=record.id, verdict=record.verdict)
+ log.debug(
+ "write_experiment_note", project=project_name, exp_id=record.id, verdict=record.verdict
+ )
vault = _auto_init_vault()
if vault is None:
log.debug("write_experiment_note_skipped", reason="vault not configured")
@@ -337,11 +328,13 @@ def write_experiment_note(
# Add eval details table if scores available
if score_before and score_after:
- lines.extend([
- "## Eval Details",
- "| Dimension | Before | After | Delta |",
- "|-----------|--------|-------|-------|",
- ])
+ lines.extend(
+ [
+ "## Eval Details",
+ "| Dimension | Before | After | Delta |",
+ "|-----------|--------|-------|-------|",
+ ]
+ )
before_map = {r.name: r.score for r in score_before.results}
for r in score_after.results:
b = before_map.get(r.name, 0.0)
@@ -352,10 +345,12 @@ def write_experiment_note(
if record.notes:
lines.extend(["## Notes", record.notes, ""])
- lines.extend([
- "## Links",
- f"- [[{project_name} Dashboard]]",
- ])
+ lines.extend(
+ [
+ "## Links",
+ f"- [[{project_name} Dashboard]]",
+ ]
+ )
if record.issue_number:
lines.append(f"- Issue: #{record.issue_number}")
if record.pr_number:
@@ -533,11 +528,13 @@ def update_memory_index(projects: list[dict] | None = None) -> Path | None:
exp_match = re.search(r"\*\*Experiments Run\*\*:\s*(\d+)", content)
if exp_match:
exp_count = int(exp_match.group(1))
- projects.append({
- "name": name,
- "score": score,
- "experiments": exp_count,
- })
+ projects.append(
+ {
+ "name": name,
+ "score": score,
+ "experiments": exp_count,
+ }
+ )
lines = [
"# Factory Memory Index",
@@ -550,9 +547,7 @@ def update_memory_index(projects: list[dict] | None = None) -> Path | None:
if projects:
for p in projects:
- lines.append(
- f"- [[{p['name']}]] — score: {p['score']}, {p['experiments']} experiments"
- )
+ lines.append(f"- [[{p['name']}]] — score: {p['score']}, {p['experiments']} experiments")
else:
lines.append("(none yet)")
diff --git a/factory/obsidian/templates.py b/factory/obsidian/templates.py
index e52261d52..453cc3389 100644
--- a/factory/obsidian/templates.py
+++ b/factory/obsidian/templates.py
@@ -37,37 +37,3 @@
"context",
"outcome",
]
-
-
-def experiment_tags(project_name: str) -> list[str]:
- """Return standard tags for an experiment note."""
- return [FACTORY_TAG, EXPERIMENT_TAG, project_name]
-
-
-def project_tags(project_name: str) -> list[str]:
- """Return standard tags for a project dashboard note."""
- return [FACTORY_TAG, PROJECT_TAG, project_name]
-
-
-def strategy_tags(project_name: str) -> list[str]:
- """Return standard tags for a strategy note."""
- return [FACTORY_TAG, STRATEGY_TAG, project_name]
-
-
-def decision_tags(project_name: str) -> list[str]:
- """Return standard tags for a decision note."""
- return [FACTORY_TAG, DECISION_TAG, project_name]
-
-
-def experiment_note_path(project_name: str, experiment_id: int) -> str:
- """Return the canonical vault path for an experiment note.
-
- Experiment notes live in ``10-Projects/<project>/Experiments/`` so that
- the eval ``doc_ratio`` sub-score finds them reliably.
- """
- return f"10-Projects/{project_name}/Experiments/{project_name}-{experiment_id:03d}"
-
-
-def wikilink(title: str) -> str:
- """Return an Obsidian wikilink."""
- return f"[[{title}]]"
diff --git a/factory/outer_loop/__init__.py b/factory/outer_loop/__init__.py
new file mode 100644
index 000000000..00d6cf87a
--- /dev/null
+++ b/factory/outer_loop/__init__.py
@@ -0,0 +1,65 @@
+"""Outer loop — evolutionary swarm search for workflow optimization."""
+
+from factory.outer_loop.benchmark_config import (
+ BenchmarkConfig,
+ list_benchmarks,
+ load_benchmark_config,
+)
+from factory.outer_loop.designer import DesignerAgent, extract_telemetry
+from factory.outer_loop.engine import BudgetTracker, SwarmEngine
+from factory.outer_loop.evaluators import get_evaluator
+from factory.outer_loop.filesystem import (
+ export_best_workflow,
+ init_filesystem,
+ load_checkpoint,
+ load_config,
+ save_best,
+ save_checkpoint,
+ save_generation,
+ save_map_elites,
+)
+from factory.outer_loop.instance_prep import prepare_instances
+from factory.outer_loop.direct_evaluator import DirectFeatureBenchEvaluator
+from factory.outer_loop.models import (
+ AuditResult,
+ EvalResult,
+ GenerationSummary,
+ HyperparameterRecord,
+ Individual,
+ MutationRecord,
+ MutationType,
+ OuterLoopResult,
+ OuterLoopState,
+ SwarmConfig,
+)
+
+__all__ = [
+ "AuditResult",
+ "BenchmarkConfig",
+ "BudgetTracker",
+ "DirectFeatureBenchEvaluator",
+ "DesignerAgent",
+ "EvalResult",
+ "GenerationSummary",
+ "HyperparameterRecord",
+ "Individual",
+ "MutationRecord",
+ "MutationType",
+ "OuterLoopResult",
+ "OuterLoopState",
+ "SwarmConfig",
+ "SwarmEngine",
+ "export_best_workflow",
+ "extract_telemetry",
+ "get_evaluator",
+ "init_filesystem",
+ "list_benchmarks",
+ "load_benchmark_config",
+ "load_checkpoint",
+ "load_config",
+ "prepare_instances",
+ "save_best",
+ "save_checkpoint",
+ "save_generation",
+ "save_map_elites",
+]
diff --git a/factory/outer_loop/benchmark_config.py b/factory/outer_loop/benchmark_config.py
new file mode 100644
index 000000000..00e4cab4e
--- /dev/null
+++ b/factory/outer_loop/benchmark_config.py
@@ -0,0 +1,121 @@
+"""Benchmark configuration — TOML-based registry for multi-benchmark support.
+
+Each benchmark is a .toml file with metadata, test format, instance format,
+and seed workflow. The registry discovers configs from:
+ 1. Project-local: .factory/benchmarks/
+ 2. User-local: ~/.factory/benchmarks/
+ 3. Built-in: benchmarks/configs/ (in the factory repo)
+"""
+
+from __future__ import annotations
+
+import tomllib
+from pathlib import Path
+
+from pydantic import BaseModel, ConfigDict, Field
+
+import structlog
+
+log = structlog.get_logger()
+
+_BUILTIN_DIR = Path(__file__).resolve().parent.parent.parent / "benchmarks" / "configs"
+
+
+class BenchmarkConfig(BaseModel):
+ """Configuration for a single benchmark."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ name: str
+ description: str = ""
+ test_format: str = "pytest"
+ test_command: str = ""
+ test_timeout: int = 600
+ instance_format: str = "directory"
+ prep_command: str = ""
+ seed_workflow: str = ""
+ answer_extraction: str = ""
+ metric_path: str = "score"
+ scoring_method: str = "partial_credit"
+ scoring_weights: dict[str, float] = Field(default_factory=dict)
+
+
+def load_benchmark_config(name: str, project_dir: Path | None = None) -> BenchmarkConfig:
+ """Load a benchmark config by name from the search path.
+
+ Search order: project .factory/benchmarks/ → ~/.factory/benchmarks/ → built-in.
+ Raises FileNotFoundError if no config found.
+ """
+ search_paths: list[Path] = []
+
+ if project_dir is not None:
+ search_paths.append(Path(project_dir) / ".factory" / "benchmarks")
+
+ user_dir = Path.home() / ".factory" / "benchmarks"
+ search_paths.append(user_dir)
+ search_paths.append(_BUILTIN_DIR)
+
+ for base in search_paths:
+ config_path = base / f"{name}.toml"
+ if config_path.exists():
+ return _parse_toml(config_path, name)
+
+ raise FileNotFoundError(
+ f"No benchmark config found for {name!r}. "
+ f"Searched: {[str(p) for p in search_paths]}"
+ )
+
+
+def list_benchmarks(project_dir: Path | None = None) -> list[BenchmarkConfig]:
+ """List all available benchmark configs from the search path."""
+ seen: set[str] = set()
+ configs: list[BenchmarkConfig] = []
+
+ search_paths: list[Path] = []
+ if project_dir is not None:
+ search_paths.append(Path(project_dir) / ".factory" / "benchmarks")
+ search_paths.append(Path.home() / ".factory" / "benchmarks")
+ search_paths.append(_BUILTIN_DIR)
+
+ for base in search_paths:
+ if not base.exists():
+ continue
+ for f in sorted(base.glob("*.toml")):
+ name = f.stem
+ if name in seen:
+ continue
+ seen.add(name)
+ try:
+ configs.append(_parse_toml(f, name))
+ except Exception:
+ log.warning("benchmark_config_parse_error", path=str(f), exc_info=True)
+
+ return configs
+
+
+def _parse_toml(path: Path, name: str) -> BenchmarkConfig:
+ """Parse a TOML benchmark config file."""
+ raw = tomllib.loads(path.read_text())
+
+ meta = raw.get("meta", {})
+ test = raw.get("test", {})
+ instances = raw.get("instances", {})
+ seed = raw.get("seed_workflow", {})
+ scoring = raw.get("scoring", {})
+
+ return BenchmarkConfig(
+ name=meta.get("name", name),
+ description=meta.get("description", ""),
+ test_format=test.get("format", "pytest"),
+ test_command=test.get("command", ""),
+ test_timeout=test.get("timeout", 600),
+ instance_format=instances.get("format", "directory"),
+ prep_command=instances.get("prep_command", ""),
+ seed_workflow=seed.get("name", ""),
+ answer_extraction=test.get("answer_extraction", ""),
+ metric_path=test.get("metric_path", "score"),
+ scoring_method=scoring.get("method", "partial_credit"),
+ scoring_weights={
+ str(k): float(v) for k, v in scoring.get("weights", {}).items()
+ },
+ )
diff --git a/factory/outer_loop/designer.py b/factory/outer_loop/designer.py
new file mode 100644
index 000000000..c31af5794
--- /dev/null
+++ b/factory/outer_loop/designer.py
@@ -0,0 +1,344 @@
+"""Designer Agent — dual-mode workflow designer and informed mutation proposer.
+
+Design mode: creates from-scratch workflow designs (minimal, thorough, custom).
+Mutation mode: proposes targeted mutations based on failure telemetry.
+
+v1 uses deterministic templates. LLM integration comes when the outer loop
+runs against real benchmarks.
+"""
+
+from __future__ import annotations
+
+import structlog
+
+from factory.outer_loop.models import EvalResult, MutationRecord, MutationType
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ Workflow,
+)
+
+log = structlog.get_logger()
+
+
+class DesignerAgent:
+ """LLM-guided workflow designer with design and mutation modes.
+
+ Design mode produces from-scratch workflows for seed diversity.
+ Mutation mode proposes targeted mutations from failure telemetry.
+ """
+
+ def design_minimal(self, benchmark_spec: str) -> Workflow:
+ """Create a 3-4 node workflow optimized for speed.
+
+ Structure: researcher → builder → gate
+ """
+ nodes: dict[str, AgentNode | FnNode | GateNode] = {
+ "researcher": AgentNode(
+ id="researcher",
+ role=AgentRole.RESEARCHER,
+ writes={".factory/strategy/research.md"},
+ timeout=300,
+ ),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ reads={".factory/strategy/research.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ timeout=600,
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.HEALTH_CHECKER,
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ }
+ edges = [
+ Edge(source="researcher", target="builder"),
+ Edge(source="builder", target="gate_qa"),
+ ]
+ wf = Workflow(
+ name=f"minimal_{_slug(benchmark_spec)}",
+ nodes=nodes, # type: ignore[arg-type]
+ edges=edges,
+ start_node="researcher",
+ )
+ log.info("designed_minimal", nodes=len(wf.nodes), benchmark=benchmark_spec[:40])
+ return wf
+
+ def design_thorough(self, benchmark_spec: str) -> Workflow:
+ """Create an 8-10 node workflow optimized for thoroughness.
+
+ Structure: study → researcher → strategist → fork(builder_a, builder_b)
+ → join → code_reviewer → adversarial_tester → gate
+ """
+ from factory.workflow.primitives import ForkNode, JoinNode
+
+ nodes: dict[str, AgentNode | FnNode | GateNode | ForkNode | JoinNode] = {
+ "study": FnNode(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/strategy/observations.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher",
+ role=AgentRole.RESEARCHER,
+ reads={".factory/strategy/observations.md"},
+ writes={".factory/strategy/research.md"},
+ timeout=600,
+ ),
+ "strategist": AgentNode(
+ id="strategist",
+ role=AgentRole.STRATEGIST,
+ reads={".factory/strategy/research.md"},
+ writes={".factory/strategy/current.md"},
+ timeout=600,
+ ),
+ "fork_builders": ForkNode(
+ id="fork_builders",
+ targets=["builder_a", "builder_b"],
+ reads={".factory/strategy/current.md"},
+ ),
+ "builder_a": AgentNode(
+ id="builder_a",
+ role=AgentRole.BUILDER,
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-a.md"},
+ timeout=1200,
+ ),
+ "builder_b": AgentNode(
+ id="builder_b",
+ role=AgentRole.BUILDER,
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-b.md"},
+ timeout=1200,
+ ),
+ "join_builders": JoinNode(
+ id="join_builders",
+ sources=["builder_a", "builder_b"],
+ ),
+ "code_reviewer": AgentNode(
+ id="code_reviewer",
+ role=AgentRole.CODE_REVIEWER,
+ reads={".factory/reviews/builder-a.md", ".factory/reviews/builder-b.md"},
+ writes={".factory/reviews/code-review.md"},
+ timeout=900,
+ ),
+ "adversarial_tester": AgentNode(
+ id="adversarial_tester",
+ role=AgentRole.ADVERSARIAL_TESTER,
+ reads={".factory/reviews/code-review.md"},
+ writes={".factory/reviews/adversarial-qa.md"},
+ timeout=1800,
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ reads={".factory/reviews/adversarial-qa.md"},
+ ),
+ }
+ edges = [
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="strategist"),
+ Edge(source="strategist", target="fork_builders"),
+ Edge(source="fork_builders", target="builder_a"),
+ Edge(source="fork_builders", target="builder_b"),
+ Edge(source="builder_a", target="join_builders"),
+ Edge(source="builder_b", target="join_builders"),
+ Edge(source="join_builders", target="code_reviewer"),
+ Edge(source="code_reviewer", target="adversarial_tester"),
+ Edge(source="adversarial_tester", target="gate_qa"),
+ ]
+ wf = Workflow(
+ name=f"thorough_{_slug(benchmark_spec)}",
+ nodes=nodes, # type: ignore[arg-type]
+ edges=edges,
+ start_node="study",
+ )
+ log.info("designed_thorough", nodes=len(wf.nodes), benchmark=benchmark_spec[:40])
+ return wf
+
+ def design_custom(self, benchmark_spec: str, constraints: dict[str, object]) -> Workflow:
+ """Create a custom from-scratch workflow with optional constraints.
+
+ Constraints can specify:
+ - max_nodes: int — cap on node count
+ - require_roles: list[str] — roles that must be present
+ - parallel: bool — whether to include fork/join parallelism
+ """
+ raw_max = constraints.get("max_nodes", 6)
+ max_nodes = int(raw_max) if isinstance(raw_max, (int, float, str)) else 6
+ raw_roles = constraints.get("require_roles", [])
+ require_roles: list[object] = list(raw_roles) if isinstance(raw_roles, list) else []
+
+ nodes: dict[str, AgentNode | FnNode | GateNode] = {}
+ edges: list[Edge] = []
+ prev_id: str | None = None
+
+ core_roles: list[tuple[str, AgentRole]] = [
+ ("researcher", AgentRole.RESEARCHER),
+ ("strategist", AgentRole.STRATEGIST),
+ ("builder", AgentRole.BUILDER),
+ ]
+
+ for role_str in require_roles:
+ if isinstance(role_str, str) and not any(r[0] == role_str for r in core_roles):
+ try:
+ role_enum = AgentRole(role_str)
+ core_roles.append((role_str, role_enum))
+ except ValueError:
+ pass
+
+ node_budget = max_nodes - 1
+ for node_id, role in core_roles:
+ if len(nodes) >= node_budget:
+ break
+ nodes[node_id] = AgentNode(
+ id=node_id,
+ role=role,
+ timeout=600,
+ )
+ if prev_id is not None:
+ edges.append(Edge(source=prev_id, target=node_id))
+ prev_id = node_id
+
+ if prev_id is not None:
+ gate_id = "gate_qa"
+ nodes[gate_id] = GateNode( # type: ignore[assignment]
+ id=gate_id,
+ evaluator_type="agent",
+ evaluator_role=AgentRole.HEALTH_CHECKER,
+ )
+ edges.append(Edge(source=prev_id, target=gate_id))
+
+ start = core_roles[0][0] if core_roles else "gate_qa"
+ wf = Workflow(
+ name=f"custom_{_slug(benchmark_spec)}",
+ nodes=nodes, # type: ignore[arg-type]
+ edges=edges,
+ start_node=start,
+ )
+ log.info("designed_custom", nodes=len(wf.nodes), benchmark=benchmark_spec[:40])
+ return wf
+
+ def propose(
+ self,
+ parent_workflow: Workflow,
+ telemetry: dict[str, object],
+ archive_stats: dict[str, object],
+ benchmark_spec: str,
+ ) -> list[MutationRecord]:
+ """Propose 1-3 targeted mutations based on failure telemetry.
+
+ Heuristics:
+ - High failure rate on a node → propose removing or replacing it
+ - Dominant failure is timeout → propose reducing parallelism or increasing timeout
+ - Low diversity → propose inserting a new agent role not yet present
+ """
+ proposals: list[MutationRecord] = []
+
+ node_stats = telemetry.get("node_stats", {})
+ if isinstance(node_stats, dict):
+ for node_id, stats in node_stats.items():
+ if not isinstance(stats, dict):
+ continue
+ failure_rate = stats.get("failure_rate", 0.0)
+ if isinstance(failure_rate, (int, float)) and failure_rate > 0.5:
+ proposals.append(MutationRecord(
+ operator=MutationType.NODE_REMOVE,
+ target_node=node_id,
+ before={"failure_rate": failure_rate},
+ after={"action": "remove_failing_node"},
+ rationale=f"Node {node_id} has {failure_rate:.0%} failure rate",
+ ))
+
+ dominant_failure = telemetry.get("dominant_failure", "")
+ if dominant_failure == "timeout":
+ agent_nodes = [
+ nid for nid, node in parent_workflow.nodes.items()
+ if type(node).__name__ == "AgentNode"
+ ]
+ if agent_nodes:
+ target = agent_nodes[0]
+ current_timeout = getattr(parent_workflow.nodes[target], "timeout", 600)
+ new_timeout = min((current_timeout or 600) * 2, 3600)
+ proposals.append(MutationRecord(
+ operator=MutationType.PARAM_MUTATE,
+ target_node=target,
+ before={"timeout": current_timeout},
+ after={"timeout": new_timeout},
+ rationale="Dominant failure is timeout — increase timeout",
+ ))
+
+ diversity = archive_stats.get("diversity", 1.0)
+ if isinstance(diversity, (int, float)) and diversity < 0.3:
+ present_roles = {
+ node.role.value # type: ignore[union-attr]
+ for node in parent_workflow.nodes.values()
+ if hasattr(node, "role")
+ }
+ missing = set(AgentRole) - {AgentRole(r) for r in present_roles if r in [ar.value for ar in AgentRole]}
+ if missing:
+ new_role = next(iter(missing))
+ proposals.append(MutationRecord(
+ operator=MutationType.NODE_INSERT,
+ target_node=None,
+ before={"present_roles": sorted(present_roles)},
+ after={"new_role": new_role.value},
+ rationale=f"Low diversity ({diversity:.2f}) — insert {new_role.value}",
+ ))
+
+ if not proposals:
+ proposals.append(MutationRecord(
+ operator=MutationType.PARAM_MUTATE,
+ target_node=None,
+ before={},
+ after={"action": "explore"},
+ rationale="No specific failure signal — propose parameter exploration",
+ ))
+
+ return proposals[:3]
+
+
+def extract_telemetry(eval_result: EvalResult) -> dict[str, object]:
+ """Extract structured diagnostics from an EvalResult.
+
+ Returns a dict with:
+ - node_stats: per-node success/failure data (from details if available)
+ - dominant_failure: most common failure category
+ - benchmark_score: the raw benchmark score
+ - cost_usd: evaluation cost
+ - complexity: workflow complexity metric
+ """
+ details = eval_result.details or {}
+
+ node_stats: dict[str, object] = {}
+ raw_stats = details.get("node_stats", {})
+ if isinstance(raw_stats, dict):
+ node_stats = dict(raw_stats)
+
+ dominant_failure = ""
+ raw_failure = details.get("dominant_failure", "")
+ if isinstance(raw_failure, str):
+ dominant_failure = raw_failure
+
+ return {
+ "node_stats": node_stats,
+ "dominant_failure": dominant_failure,
+ "benchmark_score": eval_result.benchmark_score,
+ "hygiene_score": eval_result.hygiene_score,
+ "cost_usd": eval_result.cost_usd,
+ "complexity": eval_result.complexity,
+ "score": eval_result.score,
+ }
+
+
+def _slug(text: str) -> str:
+ """Convert text to a short slug for workflow naming."""
+ clean = text.lower().replace(" ", "_")[:20]
+ return "".join(c for c in clean if c.isalnum() or c == "_").strip("_") or "default"
diff --git a/factory/outer_loop/direct_evaluator.py b/factory/outer_loop/direct_evaluator.py
new file mode 100644
index 000000000..5aa05e3d8
--- /dev/null
+++ b/factory/outer_loop/direct_evaluator.py
@@ -0,0 +1,454 @@
+"""Direct FeatureBench evaluator — runs agents on the host, verifies in Docker.
+
+Three-step architecture:
+1. Extract /testbed/ from Docker image to a local temp dir
+2. Run factory agents DIRECTLY ON THE HOST against the extracted testbed
+3. Copy the modified testbed into a fresh container via docker cp + exec
+ (avoids bind-mount cross-platform issues with amd64 images on arm64 hosts)
+
+This avoids installing agents inside Docker containers entirely.
+"""
+
+from __future__ import annotations
+
+import re
+import shutil
+import subprocess
+import tempfile
+from pathlib import Path
+
+import structlog
+
+from factory.outer_loop.models import EvalResult
+from factory.workflow.primitives import AgentNode, ForkNode, GateNode, JoinNode, Workflow
+
+log = structlog.get_logger()
+
+_FEATUREBENCH_DIR = Path(__file__).resolve().parents[2] / "featurebench"
+_PYTEST_F2P_RE = re.compile(r"pytest\s+(.+?)\s*>\s*/tmp/f2p_output")
+_PYTEST_P2P_RE = re.compile(r"pytest\s+(.+?)\s*>\s*/tmp/p2p_output")
+_INSTALL_RE = re.compile(r"#\s*Repo-specific install[^\n]*\n(pip install[^\n]+)")
+
+
+def _parse_from_line(dockerfile: Path) -> str:
+ """Extract the base image from a Dockerfile's FROM line."""
+ for line in dockerfile.read_text().splitlines():
+ stripped = line.strip()
+ if stripped.upper().startswith("FROM "):
+ return stripped.split()[1]
+ raise ValueError(f"No FROM line found in {dockerfile}")
+
+
+def _parse_deleted_files(patch_path: Path) -> list[str]:
+ """Parse file paths deleted by a diff (--- a/path lines in deleted-file hunks)."""
+ deleted: list[str] = []
+ if not patch_path.exists():
+ return deleted
+ text = patch_path.read_text()
+ in_delete_block = False
+ for line in text.splitlines():
+ if line.startswith("deleted file"):
+ in_delete_block = True
+ elif line.startswith("diff --git"):
+ in_delete_block = False
+ elif in_delete_block and line.startswith("--- a/"):
+ deleted.append(line[6:])
+ return deleted
+
+
+def _parse_test_sh(test_sh: Path) -> tuple[str | None, str | None, str]:
+ """Extract F2P test args, P2P test args, and install command from test.sh."""
+ text = test_sh.read_text()
+
+ f2p_match = _PYTEST_F2P_RE.search(text)
+ f2p_args = f2p_match.group(1).strip() if f2p_match else None
+
+ p2p_match = _PYTEST_P2P_RE.search(text)
+ p2p_args = p2p_match.group(1).strip() if p2p_match else None
+
+ install_match = _INSTALL_RE.search(text)
+ install_cmd = install_match.group(1).strip() if install_match else "pip install -e . || true"
+
+ return f2p_args, p2p_args, install_cmd
+
+
+def _topo_sort_nodes(workflow: Workflow) -> list[str]:
+ """Topological sort of workflow nodes using Kahn's algorithm."""
+ adj: dict[str, list[str]] = {nid: [] for nid in workflow.nodes}
+ in_degree: dict[str, int] = {nid: 0 for nid in workflow.nodes}
+ for edge in workflow.edges:
+ if edge.source in adj and edge.target in in_degree:
+ adj[edge.source].append(edge.target)
+ in_degree[edge.target] += 1
+
+ queue = [nid for nid, deg in in_degree.items() if deg == 0]
+ order: list[str] = []
+ while queue:
+ queue.sort()
+ node = queue.pop(0)
+ order.append(node)
+ for neighbor in adj[node]:
+ in_degree[neighbor] -= 1
+ if in_degree[neighbor] == 0:
+ queue.append(neighbor)
+ return order
+
+
+class DirectFeatureBenchEvaluator:
+ """Evaluates workflows on FeatureBench without installing agents in containers.
+
+ Implements the ``EvaluatorFn`` protocol::
+
+ __call__(workflow, project_dir, instances) -> EvalResult
+ """
+
+ def __init__(
+ self,
+ featurebench_dir: Path | None = None,
+ agent_timeout: int = 1800,
+ ) -> None:
+ self._featurebench_dir = featurebench_dir or _FEATUREBENCH_DIR
+ self._agent_timeout = agent_timeout
+
+ def __call__(
+ self,
+ workflow: Workflow,
+ project_dir: str,
+ instances: list[str],
+ ) -> EvalResult:
+ total = len(instances)
+ per_instance: dict[str, object] = {}
+ total_score = 0.0
+
+ for instance_id in instances:
+ partial = self._eval_instance(workflow, instance_id)
+ per_instance[instance_id] = {
+ "score": partial,
+ "resolved": partial >= 1.0,
+ }
+ total_score += partial
+
+ score = total_score / max(total, 1)
+ per_scores: dict[str, float] = {}
+ for k, v in per_instance.items():
+ if isinstance(v, dict):
+ per_scores[k] = float(v.get("score", 0.0))
+ log.info(
+ "direct_eval_done",
+ score=score,
+ total=total,
+ per_instance_scores=per_scores,
+ )
+ return EvalResult(
+ score=score,
+ benchmark_score=score,
+ complexity=float(len(workflow.nodes)),
+ details={"instances": per_instance},
+ )
+
+ def _eval_instance(self, workflow: Workflow, instance_id: str) -> float:
+ """Evaluate a single FeatureBench instance. Returns partial credit [0.0, 1.0]."""
+ task_dir = self._featurebench_dir / instance_id
+ if not task_dir.exists():
+ log.error("task_dir_missing", instance=instance_id)
+ return 0.0
+
+ dockerfile = task_dir / "environment" / "Dockerfile"
+ if not dockerfile.exists():
+ log.error("dockerfile_missing", instance=instance_id)
+ return 0.0
+
+ image = _parse_from_line(dockerfile)
+ workdir = Path(tempfile.mkdtemp(prefix=f"fb-{instance_id[:30]}-", dir="/tmp"))
+
+ try:
+ # 1. Pull image if needed
+ log.info("pulling_image", image=image, instance=instance_id)
+ subprocess.run(
+ ["docker", "pull", "--platform", "linux/amd64", image],
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+
+ # 2. Extract /testbed/ from Docker image
+ log.info("extracting_testbed", instance=instance_id)
+ cid_result = subprocess.run(
+ ["docker", "create", "--platform", "linux/amd64", image],
+ capture_output=True,
+ text=True,
+ timeout=60,
+ )
+ if cid_result.returncode != 0:
+ log.error("docker_create_failed", stderr=cid_result.stderr, instance=instance_id)
+ return 0.0
+
+ cid = cid_result.stdout.strip()
+ try:
+ cp_result = subprocess.run(
+ ["docker", "cp", f"{cid}:/testbed", str(workdir / "testbed")],
+ capture_output=True,
+ text=True,
+ timeout=120,
+ )
+ if cp_result.returncode != 0:
+ log.error("docker_cp_failed", stderr=cp_result.stderr, instance=instance_id)
+ return 0.0
+ finally:
+ subprocess.run(["docker", "rm", cid], capture_output=True, timeout=30)
+
+ testbed = workdir / "testbed"
+
+ # 3. Initialize git in testbed if not already a repo
+ if not (testbed / ".git").exists():
+ subprocess.run(["git", "init"], cwd=testbed, capture_output=True, timeout=30)
+ subprocess.run(["git", "add", "."], cwd=testbed, capture_output=True, timeout=60)
+ subprocess.run(
+ ["git", "commit", "-m", "initial"],
+ cwd=testbed,
+ capture_output=True,
+ timeout=60,
+ env={"GIT_AUTHOR_NAME": "test", "GIT_AUTHOR_EMAIL": "test@test",
+ "GIT_COMMITTER_NAME": "test", "GIT_COMMITTER_EMAIL": "test@test",
+ "PATH": "/usr/bin:/bin:/usr/local/bin"},
+ )
+
+ # 4. Apply setup_patch (scramble the implementation)
+ setup_patch = task_dir / "environment" / "setup_patch.diff"
+ if setup_patch.exists() and setup_patch.stat().st_size > 0:
+ log.info("applying_setup_patch", instance=instance_id)
+ subprocess.run(
+ ["git", "apply", "--whitespace=nowarn", str(setup_patch)],
+ cwd=testbed,
+ capture_output=True,
+ timeout=30,
+ )
+
+ # Delete test files listed in test_patch.diff (lv1)
+ test_patch = task_dir / "environment" / "test_patch.diff"
+ deleted_files = _parse_deleted_files(test_patch)
+ for f in deleted_files:
+ target = testbed / f
+ if target.exists():
+ target.unlink()
+ log.debug("deleted_test_file", file=f, instance=instance_id)
+
+ # 5. Copy instruction.md to testbed
+ instruction = task_dir / "instruction.md"
+ if instruction.exists():
+ shutil.copy(instruction, testbed / "task-instruction.md")
+
+ # 6. Create .factory dir for agent output
+ factory_dir = testbed / ".factory"
+ factory_dir.mkdir(exist_ok=True)
+ (factory_dir / "reviews").mkdir(exist_ok=True)
+
+ # 7. Run the workflow's agents on the testbed
+ log.info("running_agents", instance=instance_id, nodes=len(workflow.nodes))
+ self._run_workflow_agents(workflow, testbed)
+
+ # 8. Verify: run test.sh inside Docker with the modified testbed mounted
+ log.info("verifying_in_docker", instance=instance_id)
+ partial_score = self._verify_in_docker(task_dir, image, testbed)
+ log.info(
+ "instance_result",
+ instance=instance_id,
+ partial_score=partial_score,
+ )
+ return partial_score
+
+ except subprocess.TimeoutExpired:
+ log.warning("instance_timeout", instance=instance_id)
+ return 0.0
+ except Exception as exc:
+ log.error("instance_error", instance=instance_id, error=str(exc))
+ return 0.0
+ finally:
+ shutil.rmtree(workdir, ignore_errors=True)
+
+ def _run_workflow_agents(self, workflow: Workflow, testbed: Path) -> None:
+ """Run workflow agents in topological order on the testbed."""
+ order = _topo_sort_nodes(workflow)
+ for node_id in order:
+ node = workflow.nodes[node_id]
+ if isinstance(node, AgentNode):
+ timeout = node.timeout or self._agent_timeout
+ prompt = node.prompt_template
+ if not prompt:
+ continue
+
+ log.info("running_agent", node=node_id, role=node.role.value, timeout=timeout)
+ result = subprocess.run(
+ [
+ "factory",
+ "agent",
+ node.role.value,
+ "--task",
+ prompt,
+ "--project",
+ str(testbed),
+ "--timeout",
+ str(timeout),
+ "--disallowedTools",
+ "WebSearch,WebFetch",
+ ],
+ capture_output=True,
+ text=True,
+ timeout=timeout + 120,
+ )
+ log.info(
+ "agent_finished",
+ node=node_id,
+ returncode=result.returncode,
+ stdout_len=len(result.stdout),
+ )
+ elif isinstance(node, (GateNode, ForkNode, JoinNode)):
+ pass
+
+ def _verify_in_docker(
+ self, task_dir: Path, image: str, testbed: Path
+ ) -> float:
+ """Run pytest via docker cp + exec — returns partial credit [0.0, 1.0]."""
+ test_patch = task_dir / "environment" / "test_patch.diff"
+ test_sh = task_dir / "tests" / "test.sh"
+
+ f2p_args, p2p_args, install_cmd = (None, None, "pip install -e . || true")
+ if test_sh.exists():
+ f2p_args, p2p_args, install_cmd = _parse_test_sh(test_sh)
+
+ # Restore deleted test files into the host testbed before copying to container
+ test_files = _parse_deleted_files(test_patch)
+ if test_files:
+ if test_patch.exists() and test_patch.stat().st_size > 0:
+ apply_result = subprocess.run(
+ ["git", "apply", "--reverse", "--whitespace=nowarn", str(test_patch)],
+ cwd=testbed,
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ if apply_result.returncode != 0:
+ log.warning(
+ "reverse_patch_failed",
+ stderr=apply_result.stderr,
+ task_dir=str(task_dir),
+ )
+ f2p_cmd = f"pytest -rA --tb=short --color=no {' '.join(test_files)}"
+ elif f2p_args:
+ f2p_cmd = f"pytest -rA --tb=short --color=no {f2p_args}"
+ else:
+ log.error("no_test_target", task_dir=str(task_dir))
+ return 0.0
+
+ # 1. Create container (kept alive with sleep so we can exec into it)
+ cid_result = subprocess.run(
+ [
+ "docker", "create", "--platform", "linux/amd64",
+ image,
+ "bash", "-c", "sleep 600",
+ ],
+ capture_output=True,
+ text=True,
+ timeout=60,
+ )
+ if cid_result.returncode != 0:
+ log.error("docker_create_verify_failed", stderr=cid_result.stderr)
+ return 0.0
+ cid = cid_result.stdout.strip()
+
+ try:
+ # 2. Copy only changed files into the container (avoids symlink conflicts
+ # where docker cp fails with "cannot overwrite directory with non-directory")
+ diff_result = subprocess.run(
+ ["git", "diff", "--name-only", "HEAD"],
+ cwd=testbed,
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ changed_files: list[str] = []
+ if diff_result.returncode == 0:
+ changed_files.extend(f for f in diff_result.stdout.strip().splitlines() if f)
+
+ untracked_result = subprocess.run(
+ ["git", "ls-files", "--others", "--exclude-standard"],
+ cwd=testbed,
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ if untracked_result.returncode == 0:
+ changed_files.extend(f for f in untracked_result.stdout.strip().splitlines() if f)
+
+ log.info("copying_changed_files", count=len(changed_files), task_dir=str(task_dir))
+
+ # Start container first so we can mkdir for new files
+ start_result = subprocess.run(
+ ["docker", "start", cid],
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ if start_result.returncode != 0:
+ log.error("docker_start_failed", stderr=start_result.stderr)
+ return 0.0
+
+ parents_ensured: set[str] = set()
+ for rel_path in changed_files:
+ src = testbed / rel_path
+ if not src.exists() or not src.is_file():
+ continue
+ parent = str(Path(rel_path).parent)
+ if parent and parent != "." and parent not in parents_ensured:
+ subprocess.run(
+ ["docker", "exec", cid, "mkdir", "-p", f"/testbed/{parent}"],
+ capture_output=True,
+ timeout=10,
+ )
+ parents_ensured.add(parent)
+ cp_result = subprocess.run(
+ ["docker", "cp", str(src), f"{cid}:/testbed/{rel_path}"],
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ if cp_result.returncode != 0:
+ log.warning("docker_cp_file_failed", file=rel_path, stderr=cp_result.stderr)
+
+ # 3. Exec the test inside the container
+ script = (
+ f"source /opt/miniconda3/bin/activate testbed; "
+ f"cd /testbed; "
+ f"{install_cmd} 2>&1 | tail -2; "
+ f"{f2p_cmd}"
+ )
+ if p2p_args:
+ script += f"; pytest -rA --tb=short --color=no {p2p_args}"
+
+ result = subprocess.run(
+ ["docker", "exec", cid, "bash", "-c", script],
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+
+ log.info(
+ "docker_verify_done",
+ returncode=result.returncode,
+ stdout_tail=result.stdout[-500:] if result.stdout else "",
+ stderr_tail=result.stderr[-500:] if result.stderr else "",
+ )
+
+ if result.returncode == 0:
+ return 1.0
+
+ from factory.outer_loop.featurebench_evaluator import parse_pytest_stdout
+ metrics = parse_pytest_stdout(result.stdout or "")
+ return metrics.get("pass_rate", 0.0)
+ finally:
+ # 4. Cleanup: force-remove the container
+ subprocess.run(
+ ["docker", "rm", "-f", cid],
+ capture_output=True,
+ timeout=30,
+ )
diff --git a/factory/outer_loop/engine.py b/factory/outer_loop/engine.py
new file mode 100644
index 000000000..1abfda242
--- /dev/null
+++ b/factory/outer_loop/engine.py
@@ -0,0 +1,545 @@
+"""Core evolutionary search controller for workflow optimization."""
+
+from __future__ import annotations
+
+import time
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import structlog
+
+from factory.outer_loop.designer import DesignerAgent
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.mode_registry import EphemeralModeRegistry
+from factory.outer_loop.models import (
+ GenerationSummary,
+ HyperparameterRecord,
+ MutationRecord,
+ OuterLoopResult,
+ SwarmConfig,
+)
+from factory.outer_loop.reflector import OuterLoopReflector, ReflectionReport
+from factory.outer_loop.mutations import (
+ MutationStrategy,
+ WeightedRandomStrategy,
+ apply_random_mutation,
+)
+from factory.outer_loop.overfit import OverfitDetector
+from factory.outer_loop.population import MAPElitesArchive, Population
+from factory.outer_loop.similarity import NoveltyFilter
+from factory.outer_loop.subset import FixedSubsetSelector, SubsetSelector
+from factory.workflow.primitives import Workflow
+from factory.workflow.registry import WorkflowRegistry
+
+if TYPE_CHECKING:
+ pass
+
+log = structlog.get_logger()
+
+PLATEAU_WINDOW = 3
+
+
+class BudgetTracker:
+ """Tracks evaluation budget consumption, cost, and wall-clock time."""
+
+ def __init__(self, total_budget: int) -> None:
+ self._total = total_budget
+ self._consumed = 0
+ self._cost_usd = 0.0
+ self._start_time = time.monotonic()
+ self._warned_80 = False
+ self._warned_95 = False
+
+ @property
+ def remaining(self) -> int:
+ return max(0, self._total - self._consumed)
+
+ @property
+ def consumed(self) -> int:
+ return self._consumed
+
+ @property
+ def total_cost_usd(self) -> float:
+ return self._cost_usd
+
+ @property
+ def elapsed_seconds(self) -> float:
+ return time.monotonic() - self._start_time
+
+ @property
+ def exhausted(self) -> bool:
+ return self._consumed >= self._total
+
+ def consume(self, count: int = 1, cost_usd: float = 0.0) -> None:
+ self._consumed += count
+ self._cost_usd += cost_usd
+ pct = self._consumed / self._total if self._total > 0 else 1.0
+ if pct >= 0.95 and not self._warned_95:
+ log.warning("budget_95_percent", consumed=self._consumed, total=self._total)
+ self._warned_95 = True
+ elif pct >= 0.80 and not self._warned_80:
+ log.warning("budget_80_percent", consumed=self._consumed, total=self._total)
+ self._warned_80 = True
+
+
+class SwarmEngine:
+ """Orchestrates the evolutionary search loop."""
+
+ def __init__(
+ self,
+ config: SwarmConfig,
+ evaluator: SwarmEvaluator,
+ strategy: MutationStrategy | None = None,
+ subset_selector: SubsetSelector | None = None,
+ overfit_detector: OverfitDetector | None = None,
+ novelty_filter: NoveltyFilter | None = None,
+ designer: DesignerAgent | None = None,
+ mode_registry: EphemeralModeRegistry | None = None,
+ project_dir: Path | None = None,
+ ) -> None:
+ self._config = config
+ self._evaluator = evaluator
+ self._strategy: MutationStrategy = strategy or WeightedRandomStrategy(
+ mutation_rate=config.mutation_rate,
+ )
+ self._subset: SubsetSelector = subset_selector or FixedSubsetSelector(
+ config.training_instances,
+ )
+ self._overfit = overfit_detector or OverfitDetector()
+ self._novelty = novelty_filter or NoveltyFilter(min_edit_distance=3)
+ self._designer = designer or DesignerAgent()
+ self._budget = BudgetTracker(config.budget)
+ self._archive = MAPElitesArchive()
+ self._score_trajectory: list[float] = []
+ self._mode_registry = mode_registry
+ self._project_dir = project_dir
+ self._reflector = OuterLoopReflector(project_dir=project_dir)
+ self._last_reflection: ReflectionReport | None = None
+ self._initial_diversity: float = 0.0
+ self._top_ids_history: list[frozenset[str]] = []
+
+ @property
+ def archive(self) -> MAPElitesArchive:
+ return self._archive
+
+ @property
+ def budget(self) -> BudgetTracker:
+ return self._budget
+
+ def seed(
+ self,
+ base_workflow: Workflow,
+ config: SwarmConfig | None = None,
+ ) -> Population:
+ """Create the initial population from a base workflow.
+
+ If config.seed_workflow is set, looks up the workflow from
+ WorkflowRegistry and uses it instead of the passed-in base_workflow.
+ Falls back to base_workflow when seed_workflow is empty or not found.
+
+ Slot 0: unmodified seed.
+ Slots 1..N-designer_count: random mutations of seed.
+ Last designer_count slots: from-scratch designs via DesignerAgent.
+ """
+ cfg = config or self._config
+ pop = Population()
+
+ if cfg.seed_workflow:
+ registry_wf = WorkflowRegistry.get_workflow(cfg.seed_workflow)
+ if registry_wf is not None:
+ log.info("seed_workflow_from_registry", name=cfg.seed_workflow)
+ base_workflow = registry_wf
+ else:
+ log.warning("seed_workflow_not_found", name=cfg.seed_workflow)
+
+ seed_ind = Population.make_individual(base_workflow, generation=0)
+ pop.add(seed_ind)
+ self._novelty.add(base_workflow)
+ if self._mode_registry:
+ self._mode_registry.register(seed_ind.id, 0, base_workflow)
+
+ designer_count = cfg.designer_count
+ mutation_slots = max(0, cfg.population_size - 1 - designer_count)
+
+ attempts = 0
+ max_attempts = mutation_slots * 10
+ while pop.size < 1 + mutation_slots and attempts < max_attempts:
+ attempts += 1
+ result = apply_random_mutation(
+ base_workflow,
+ self._strategy,
+ generation=0,
+ frozen_nodes=set(cfg.frozen_node_ids),
+ )
+ if result is None:
+ continue
+ mutated_wf, mutation_rec = result
+ if not self._novelty.is_novel(mutated_wf):
+ continue
+ self._novelty.add(mutated_wf)
+ ind = Population.make_individual(
+ mutated_wf,
+ generation=0,
+ parent_id=seed_ind.id,
+ mutation_record=mutation_rec,
+ )
+ pop.add(ind)
+ if self._mode_registry:
+ self._mode_registry.register(ind.id, 0, mutated_wf)
+
+ if designer_count > 0:
+ self._add_designer_variants(pop, cfg, designer_count)
+
+ log.info(
+ "population_seeded",
+ size=pop.size,
+ target=cfg.population_size,
+ designer_variants=min(designer_count, pop.size),
+ )
+ return pop
+
+ def _add_designer_variants(
+ self,
+ pop: Population,
+ cfg: SwarmConfig,
+ designer_count: int,
+ ) -> None:
+ """Add from-scratch designed workflows to the population."""
+ benchmark_spec = cfg.benchmark
+ designs: list[Workflow] = []
+
+ if designer_count >= 1:
+ try:
+ minimal = self._designer.design_minimal(benchmark_spec)
+ designs.append(minimal)
+ except Exception:
+ log.warning("designer_minimal_failed", exc_info=True)
+
+ if designer_count >= 2:
+ try:
+ thorough = self._designer.design_thorough(benchmark_spec)
+ designs.append(thorough)
+ except Exception:
+ log.warning("designer_thorough_failed", exc_info=True)
+
+ for i in range(2, designer_count):
+ try:
+ custom = self._designer.design_custom(
+ benchmark_spec,
+ {"max_nodes": 4 + i, "parallel": i % 2 == 0},
+ )
+ designs.append(custom)
+ except Exception:
+ log.warning("designer_custom_failed", index=i, exc_info=True)
+
+ for wf in designs:
+ if pop.size >= cfg.population_size:
+ break
+ if self._novelty.is_novel(wf):
+ self._novelty.add(wf)
+ ind = Population.make_individual(wf, generation=0)
+ pop.add(ind)
+ if self._mode_registry:
+ self._mode_registry.register(ind.id, 0, wf)
+
+ def evolve_generation(
+ self,
+ population: Population,
+ generation: int,
+ project_dir: str = "",
+ ) -> GenerationSummary:
+ """Run one generation of evolution."""
+ instances = self._subset.select(
+ self._config.training_instances, generation, self._budget.remaining
+ )
+
+ # Evaluate current population
+ for ind in population.individuals:
+ if self._budget.exhausted:
+ break
+ wf = Workflow.from_dict(ind.workflow_data) # type: ignore[arg-type]
+ ev = self._evaluator.evaluate(wf, project_dir, instances, individual_id=ind.id)
+ self._budget.consume(1, cost_usd=ev.cost_usd)
+ updated = ind.model_copy(update={"score": ev.score, "cost_usd": ev.cost_usd})
+ population.remove(ind.id)
+ population.add(updated)
+ self._archive.add(updated)
+
+ # Reflect on this generation's results
+ if generation > 0 or len(population.individuals) >= 2:
+ records = []
+ for ind in population.individuals:
+ cycle_rec = self._evaluator.get_cycle_record(ind.id)
+ records.append((ind.id, ind.score, cycle_rec))
+ self._last_reflection = self._reflector.reflect(records, generation)
+
+ # Select parents and create offspring
+ mutations_applied: list[MutationRecord] = []
+ novel_count = 0
+ rejected_dupes = 0
+ offspring: list[tuple[Workflow, MutationRecord, str]] = []
+
+ mutation_rate = self._strategy.get_mutation_rate(generation)
+ for _ in range(self._config.population_size):
+ parent = self._archive.sample_parent(self._config.tournament_size)
+ if parent is None:
+ continue
+ parent_wf = Workflow.from_dict(parent.workflow_data) # type: ignore[arg-type]
+ mutation_result = apply_random_mutation(
+ parent_wf,
+ self._strategy,
+ generation,
+ frozen_nodes=set(self._config.frozen_node_ids),
+ reflection_report=self._last_reflection,
+ )
+ if mutation_result is None:
+ continue
+ child_wf, mutation_rec = mutation_result
+ if self._novelty.is_novel(child_wf):
+ self._novelty.add(child_wf)
+ offspring.append((child_wf, mutation_rec, parent.id))
+ mutations_applied.append(mutation_rec)
+ novel_count += 1
+ else:
+ rejected_dupes += 1
+
+ # Evaluate offspring and add to population
+ for child_wf, mutation_rec, parent_id in offspring:
+ if self._budget.exhausted:
+ break
+ ind = Population.make_individual(
+ child_wf,
+ generation=generation,
+ parent_id=parent_id,
+ mutation_record=mutation_rec,
+ )
+ if self._mode_registry:
+ self._mode_registry.register(ind.id, generation, child_wf)
+ eval_result = self._evaluator.evaluate(child_wf, project_dir, instances, individual_id=ind.id)
+ self._budget.consume(1, cost_usd=eval_result.cost_usd)
+ updated = ind.model_copy(update={"score": eval_result.score, "cost_usd": eval_result.cost_usd})
+ population.add(updated)
+ self._archive.add(updated)
+
+ # Cleanup non-surviving ephemeral mode files
+ if self._mode_registry:
+ survivor_names = set()
+ for ind in population.individuals:
+ for g in range(generation + 1):
+ survivor_names.add(f"evolve-gen{g}-{ind.id[:8]}")
+ self._mode_registry.cleanup_generation(survivor_names)
+
+ # Track best score and diversity
+ best = population.best()
+ best_score = best.score if best else 0.0
+ mean_score = population.mean_score()
+ diversity = self._archive.diversity_metric()
+ self._score_trajectory.append(best_score)
+
+ if generation == 0:
+ self._initial_diversity = diversity if diversity > 0 else 1.0
+
+ top_3 = sorted(population.individuals, key=lambda i: i.score, reverse=True)[:3]
+ self._top_ids_history.append(frozenset(i.id for i in top_3))
+
+ self._log_event(generation, best_score, mean_score, diversity, self._archive.size)
+ self._log_costs(generation, population)
+
+ hp_record = HyperparameterRecord(
+ generation=generation,
+ mutation_rate=mutation_rate,
+ population_size=population.size,
+ tournament_size=self._config.tournament_size,
+ designer_ratio=self._strategy.get_designer_ratio(generation),
+ operator_weights=(
+ self._strategy.get_operator_weights()
+ if hasattr(self._strategy, "get_operator_weights")
+ else {}
+ ),
+ best_score=best_score,
+ mean_score=mean_score,
+ diversity=diversity,
+ novel_count=novel_count,
+ )
+
+ # Holdout evaluation for best candidate
+ holdout_score = 0.0
+ if best and self._config.holdout_instances:
+ best_wf = Workflow.from_dict(best.workflow_data) # type: ignore[arg-type]
+ holdout_result = self._evaluator.evaluate(best_wf, project_dir, self._config.holdout_instances)
+ holdout_score = holdout_result.score
+ self._budget.consume(1, cost_usd=holdout_result.cost_usd)
+ log.info(
+ "holdout_eval",
+ generation=generation,
+ holdout_score=holdout_score,
+ training_best=best_score,
+ )
+
+ return GenerationSummary(
+ generation=generation,
+ population_size=population.size,
+ best_score=best_score,
+ mean_score=mean_score,
+ diversity=diversity,
+ mutations_applied=mutations_applied,
+ novel_count=novel_count,
+ rejected_duplicates=rejected_dupes,
+ holdout_score=holdout_score,
+ hyperparameters=hp_record,
+ )
+
+ def _detect_plateau(self) -> bool:
+ """Detect plateau: N consecutive generations with improvement < threshold."""
+ window = self._config.plateau_window
+ threshold = self._config.plateau_threshold
+ if len(self._score_trajectory) < window + 1:
+ return False
+ recent = self._score_trajectory[-(window + 1):]
+ baseline = recent[0]
+ return all(abs(s - baseline) < threshold for s in recent[1:])
+
+ def _detect_diversity_collapse(self) -> bool:
+ """Detect diversity collapse: archive diversity below floor."""
+ if not self._initial_diversity:
+ return False
+ current = self._archive.diversity_metric()
+ return current < self._config.diversity_floor * self._initial_diversity
+
+ def _detect_early_stop(self) -> bool:
+ """Detect early stop: top 3 individuals unchanged for N generations."""
+ n = self._config.early_stop_unchanged
+ if len(self._top_ids_history) < n:
+ return False
+ recent = self._top_ids_history[-n:]
+ return all(s == recent[0] for s in recent[1:])
+
+ def _log_event(
+ self, generation: int, best_score: float, mean_score: float,
+ diversity: float, archive_size: int,
+ ) -> None:
+ if not self._project_dir:
+ return
+ import json
+ events_path = self._project_dir / ".factory" / "outer_loop" / "events.jsonl"
+ events_path.parent.mkdir(parents=True, exist_ok=True)
+ entry = {
+ "generation": generation,
+ "best_score": best_score,
+ "mean_score": mean_score,
+ "diversity": diversity,
+ "archive_size": archive_size,
+ }
+ with events_path.open("a") as f:
+ f.write(json.dumps(entry) + "\n")
+
+ def _log_costs(self, generation: int, population: Population) -> None:
+ if not self._project_dir:
+ return
+ import json
+ costs_path = self._project_dir / ".factory" / "outer_loop" / "costs.jsonl"
+ costs_path.parent.mkdir(parents=True, exist_ok=True)
+ for ind in population.individuals:
+ entry = {
+ "generation": generation,
+ "individual_id": ind.id,
+ "score": ind.score,
+ "cost_usd": ind.cost_usd,
+ }
+ with costs_path.open("a") as f:
+ f.write(json.dumps(entry) + "\n")
+
+ def run(
+ self,
+ base_workflow: Workflow,
+ project_dir: str = "",
+ ) -> OuterLoopResult:
+ """Run the full evolutionary search loop."""
+ population = self.seed(base_workflow)
+ generation = 0
+ summaries: list[GenerationSummary] = []
+ hp_history: list[HyperparameterRecord] = []
+
+ while not self._should_terminate(generation):
+ log.info("generation_start", generation=generation, budget_remaining=self._budget.remaining)
+ summary = self.evolve_generation(population, generation, project_dir)
+ summaries.append(summary)
+ if summary.hyperparameters:
+ hp_history.append(summary.hyperparameters)
+
+ # Plateau detection with adaptive response
+ if self._detect_plateau():
+ if hasattr(self._strategy, "on_plateau"):
+ self._strategy.on_plateau() # type: ignore[union-attr]
+ log.info("plateau_detected_adapting", generation=generation)
+ elif len(self._score_trajectory) >= 2 and self._score_trajectory[-1] > self._score_trajectory[-2]:
+ if hasattr(self._strategy, "on_improvement"):
+ self._strategy.on_improvement() # type: ignore[union-attr]
+
+ generation += 1
+
+ convergence_reason = self._get_convergence_reason(generation)
+ log.info("evolution_complete", reason=convergence_reason, generations=generation)
+
+ # Post-evolution overfit audit
+ best = self._archive.best()
+ audit_result = None
+ if best and self._config.holdout_instances:
+ best_wf = Workflow.from_dict(best.workflow_data) # type: ignore[arg-type]
+ audit_result = self._overfit.audit(
+ best_wf,
+ self._config.training_instances,
+ self._config.holdout_instances,
+ self._evaluator,
+ project_dir,
+ )
+
+ pareto = self._archive.pareto_front()
+
+ return OuterLoopResult(
+ best_workflow_data=best.workflow_data if best else {},
+ best_score=best.score if best else 0.0,
+ holdout_score=audit_result.holdout_score if audit_result else 0.0,
+ overfit_flag=audit_result.overfit_flag if audit_result else False,
+ trajectory=summaries,
+ total_cost_usd=self._budget.total_cost_usd,
+ convergence_reason=convergence_reason,
+ generations_completed=generation,
+ total_evaluations=self._budget.consumed,
+ archive_size=self._archive.size,
+ pareto_front=pareto,
+ hyperparameter_history=hp_history,
+ )
+
+ def _should_terminate(self, generation: int) -> bool:
+ if self._budget.exhausted:
+ return True
+ if self._config.target_score is not None and self._score_trajectory:
+ if self._score_trajectory[-1] >= self._config.target_score:
+ return True
+ if self._detect_plateau():
+ window = self._config.plateau_window
+ if len(self._score_trajectory) >= window + 2:
+ recent = self._score_trajectory[-(window + 2):]
+ threshold = self._config.plateau_threshold
+ if all(abs(s - recent[0]) < threshold for s in recent[1:]):
+ return True
+ if self._detect_diversity_collapse():
+ return True
+ if self._detect_early_stop():
+ return True
+ return False
+
+ def _get_convergence_reason(self, generation: int) -> str:
+ if self._budget.exhausted:
+ return "budget_exhausted"
+ if self._config.target_score is not None and self._score_trajectory:
+ if self._score_trajectory[-1] >= self._config.target_score:
+ return "target_score_reached"
+ if self._detect_plateau():
+ return "plateau"
+ if self._detect_diversity_collapse():
+ return "diversity_collapse"
+ if self._detect_early_stop():
+ return "early_stop_unchanged"
+ return "unknown"
diff --git a/factory/outer_loop/evaluator.py b/factory/outer_loop/evaluator.py
new file mode 100644
index 000000000..7439c6db4
--- /dev/null
+++ b/factory/outer_loop/evaluator.py
@@ -0,0 +1,442 @@
+"""Fitness evaluation for workflow candidates in the evolutionary search.
+
+Supports both legacy EvaluatorFn protocol (DirectFeatureBenchEvaluator) and
+InnerLoop-based evaluation (FeatureBenchInnerLoop). CycleRecordCache provides
+content-addressable caching keyed by workflow hash.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import shutil
+import subprocess
+import time
+import uuid
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from pathlib import Path
+from typing import Any, Protocol, runtime_checkable
+
+import structlog
+
+from factory.cycle_analyzer import CycleRecord
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.outer_loop.similarity import structural_hash
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+class FitnessCache:
+ """Cache evaluation results keyed by (structural_hash, frozenset(instances))."""
+
+ def __init__(self) -> None:
+ self._cache: dict[tuple[str, frozenset[str]], tuple[float, float, float]] = {}
+
+ def get(
+ self, workflow: Workflow, instances: list[str]
+ ) -> tuple[float, float, float] | None:
+ key = (structural_hash(workflow), frozenset(instances))
+ return self._cache.get(key)
+
+ def put(
+ self, workflow: Workflow, instances: list[str], score: float, cost: float
+ ) -> None:
+ key = (structural_hash(workflow), frozenset(instances))
+ self._cache[key] = (score, cost, time.time())
+
+ @property
+ def size(self) -> int:
+ return len(self._cache)
+
+
+class CycleRecordCache:
+ """Cache CycleRecords keyed by workflow content hash.
+
+ Content-addressable via sha256(workflow.to_dict()).
+ Supports JSONL persistence for crash-resilient resume.
+ """
+
+ def __init__(self) -> None:
+ self._cache: dict[str, CycleRecord] = {}
+
+ @staticmethod
+ def workflow_hash(workflow: Workflow) -> str:
+ blob = json.dumps(workflow.to_dict(), sort_keys=True, separators=(",", ":"))
+ return hashlib.sha256(blob.encode()).hexdigest()
+
+ def get(self, workflow: Workflow) -> CycleRecord | None:
+ key = self.workflow_hash(workflow)
+ return self._cache.get(key)
+
+ def put(self, workflow: Workflow, record: CycleRecord) -> None:
+ key = self.workflow_hash(workflow)
+ self._cache[key] = record
+
+ @property
+ def size(self) -> int:
+ return len(self._cache)
+
+ def save_cache(self, path: Path) -> None:
+ """Append all cached entries to a JSONL file."""
+ path.parent.mkdir(parents=True, exist_ok=True)
+ existing_hashes: set[str] = set()
+ if path.exists():
+ for line in path.read_text().splitlines():
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ entry = json.loads(line)
+ existing_hashes.add(entry.get("workflow_hash", ""))
+ except json.JSONDecodeError:
+ continue
+
+ new_entries: list[str] = []
+ for wf_hash, record in self._cache.items():
+ if wf_hash in existing_hashes:
+ continue
+ entry = {
+ "workflow_hash": wf_hash,
+ "score": record.score_end,
+ "cost": record.total_cost_usd,
+ "kept": record.kept,
+ "reverted": record.reverted,
+ "timestamp": record.ended_at or record.started_at,
+ }
+ new_entries.append(json.dumps(entry, separators=(",", ":")))
+
+ if new_entries:
+ with path.open("a") as f:
+ for line in new_entries:
+ f.write(line + "\n")
+ log.info("cycle_cache_saved", path=str(path), new_entries=len(new_entries))
+
+ def load_cache(self, path: Path) -> int:
+ """Load cached entries from a JSONL file. Returns number of entries loaded."""
+ if not path.exists():
+ return 0
+
+ loaded = 0
+ for line in path.read_text().splitlines():
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ entry = json.loads(line)
+ except json.JSONDecodeError:
+ log.warning("cycle_cache_corrupt_line", line=line[:80])
+ continue
+
+ wf_hash = entry.get("workflow_hash")
+ if not wf_hash or wf_hash in self._cache:
+ continue
+
+ record = CycleRecord(
+ cycle_number=0,
+ mode=None,
+ started_at=entry.get("timestamp"),
+ ended_at=entry.get("timestamp"),
+ duration_s=0.0,
+ score_start=None,
+ score_end=entry.get("score"),
+ score_delta=None,
+ kept=entry.get("kept", 0),
+ reverted=entry.get("reverted", 0),
+ total_cost_usd=entry.get("cost", 0.0),
+ )
+ self._cache[wf_hash] = record
+ loaded += 1
+
+ if loaded:
+ log.info("cycle_cache_loaded", path=str(path), entries=loaded)
+ return loaded
+
+
+@runtime_checkable
+class EvaluatorFn(Protocol):
+ """Protocol for pluggable evaluation functions."""
+
+ def __call__(
+ self, workflow: Workflow, project_dir: str, instances: list[str]
+ ) -> EvalResult: ...
+
+
+class SwarmEvaluator:
+ """Evaluates workflow candidates against benchmark instances.
+
+ Supports both legacy EvaluatorFn and InnerLoop-based evaluation.
+ When inner_loop_factory is provided, it takes precedence.
+ """
+
+ def __init__(
+ self,
+ config: SwarmConfig,
+ evaluator_fn: EvaluatorFn | None = None,
+ inner_loop_factory: Any | None = None,
+ project_dir: Path | None = None,
+ ) -> None:
+ self._config = config
+ self._evaluator_fn = evaluator_fn
+ self._inner_loop_factory = inner_loop_factory
+ self._cache = FitnessCache()
+ self._cycle_cache = CycleRecordCache()
+ self._cycle_records: dict[str, CycleRecord] = {}
+ self._cache_path: Path | None = None
+
+ if project_dir is not None:
+ self._cache_path = Path(project_dir) / ".factory" / "outer_loop" / "eval_cache.jsonl"
+ self._cycle_cache.load_cache(self._cache_path)
+
+ def checkpoint_cache(self) -> None:
+ """Persist the cycle record cache to disk."""
+ if self._cache_path is not None:
+ self._cycle_cache.save_cache(self._cache_path)
+
+ @property
+ def cache(self) -> FitnessCache:
+ return self._cache
+
+ @property
+ def cycle_cache(self) -> CycleRecordCache:
+ return self._cycle_cache
+
+ def get_cycle_record(self, individual_id: str) -> CycleRecord | None:
+ return self._cycle_records.get(individual_id)
+
+ def evaluate(
+ self,
+ workflow: Workflow,
+ project_dir: str,
+ instances: list[str],
+ individual_id: str | None = None,
+ ) -> EvalResult:
+ """Evaluate a workflow on the given instances, using cache if available."""
+ cached = self._cache.get(workflow, instances)
+ if cached is not None:
+ score, cost, _ = cached
+ log.info("fitness_cache_hit", score=score)
+ return EvalResult(score=score, cost_usd=cost, benchmark_score=score)
+
+ if not self._check_mandatory_components(workflow):
+ log.warning("mandatory_component_missing", workflow=workflow.name)
+ return EvalResult(score=0.0, details={"rejected": "mandatory_component_missing"})
+
+ if not self._check_frozen_nodes(workflow):
+ log.warning("frozen_node_violated", workflow=workflow.name)
+ return EvalResult(score=0.0, details={"rejected": "frozen_node_violated"})
+
+ if self._inner_loop_factory is not None:
+ return self._evaluate_via_inner_loop(
+ workflow, project_dir, instances, individual_id
+ )
+
+ if self._evaluator_fn is not None:
+ result = self._evaluator_fn(workflow, project_dir, instances)
+ else:
+ result = EvalResult(score=0.0, details={"note": "no_evaluator_fn_configured"})
+
+ composite = self._compute_composite(result)
+ result = result.model_copy(update={"score": composite})
+
+ self._cache.put(workflow, instances, composite, result.cost_usd)
+ return result
+
+ @staticmethod
+ def _create_worktree(project_dir: str, label: str) -> Path:
+ """Create an isolated git worktree from the target project."""
+ src = Path(project_dir)
+ wt_base = src.parent / ".eval-worktrees"
+ wt_base.mkdir(parents=True, exist_ok=True)
+ wt_path = wt_base / f"wt-{label}-{uuid.uuid4().hex[:8]}"
+
+ result = subprocess.run(
+ ["git", "-C", str(src), "worktree", "add", "--detach", str(wt_path), "HEAD"],
+ capture_output=True,
+ text=True,
+ timeout=60,
+ )
+ if result.returncode != 0:
+ raise RuntimeError(f"git worktree add failed: {result.stderr}")
+
+ for subdir in ["outer_loop/modes", "workflows"]:
+ src_dir = src / ".factory" / subdir
+ dst_dir = wt_path / ".factory" / subdir
+ if src_dir.exists():
+ dst_dir.mkdir(parents=True, exist_ok=True)
+ for f in src_dir.iterdir():
+ if f.is_file():
+ shutil.copy2(f, dst_dir / f.name)
+
+ log.info("worktree_created", path=str(wt_path), source=str(src))
+ return wt_path
+
+ @staticmethod
+ def _cleanup_worktree(project_dir: str, wt_path: Path) -> None:
+ """Remove a git worktree."""
+ try:
+ subprocess.run(
+ ["git", "-C", str(project_dir), "worktree", "remove", "--force", str(wt_path)],
+ capture_output=True,
+ text=True,
+ timeout=60,
+ )
+ except Exception:
+ shutil.rmtree(wt_path, ignore_errors=True)
+ try:
+ subprocess.run(
+ ["git", "-C", str(project_dir), "worktree", "prune"],
+ capture_output=True,
+ timeout=30,
+ )
+ except Exception:
+ pass
+ log.info("worktree_cleaned", path=str(wt_path))
+
+ def _evaluate_via_inner_loop(
+ self,
+ workflow: Workflow,
+ project_dir: str,
+ instances: list[str],
+ individual_id: str | None = None,
+ ) -> EvalResult:
+ """Evaluate using InnerLoop.step() in an isolated worktree."""
+ from factory.outer_loop.featurebench_inner_loop import FeatureBenchInnerLoop
+
+ cached_record = self._cycle_cache.get(workflow)
+ if cached_record is not None:
+ score = cached_record.score_end or 0.0
+ cost = cached_record.total_cost_usd
+ log.info("cycle_record_cache_hit", score=score)
+ if individual_id:
+ self._cycle_records[individual_id] = cached_record
+ return EvalResult(score=score, cost_usd=cost, benchmark_score=score)
+
+ wt_path: Path | None = None
+ try:
+ mode_name = self._inner_loop_factory(workflow) if callable(self._inner_loop_factory) else "evolve"
+
+ label = individual_id[:8] if individual_id else mode_name[:12]
+ wt_path = self._create_worktree(project_dir, label)
+
+ loop = FeatureBenchInnerLoop(
+ project_dir=wt_path,
+ mode=mode_name,
+ workflow=workflow,
+ frozen_nodes=frozenset(self._config.frozen_node_ids),
+ test_command=self._config.test_command,
+ test_format=self._config.test_format,
+ metric_path=self._config.metric_path,
+ )
+ record = loop.step()
+
+ summary_data = self._read_cycle_summary(wt_path, loop.mode)
+ summary_score = float(summary_data.get("score", 0.0)) if summary_data else None
+ score = summary_score if summary_score is not None else (record.score_end or 0.0)
+ cost = record.total_cost_usd
+
+ self._cycle_cache.put(workflow, record)
+ if individual_id:
+ self._cycle_records[individual_id] = record
+
+ num_nodes = len(workflow.nodes)
+ parsimony = 0.01 * num_nodes
+ composite = max(0.0, score - parsimony)
+
+ self._cache.put(workflow, instances, composite, cost)
+
+ details: dict[str, object] = {
+ "experiments": len(record.experiments),
+ "steps": len(record.steps),
+ "kept": record.kept,
+ "reverted": record.reverted,
+ "parsimony_penalty": parsimony,
+ }
+ if summary_data:
+ details["scoring_method"] = summary_data.get("scoring_method", "unknown")
+ if "test_details" in summary_data:
+ details["test_details"] = summary_data["test_details"]
+
+ return EvalResult(
+ score=composite,
+ benchmark_score=score,
+ cost_usd=cost,
+ complexity=float(num_nodes),
+ details=details,
+ )
+ except Exception as exc:
+ log.error("inner_loop_eval_failed", error=str(exc), exc_info=True)
+ return EvalResult(
+ score=0.0,
+ details={"error": str(exc), "evaluation_method": "inner_loop"},
+ )
+ finally:
+ if wt_path is not None:
+ self._cleanup_worktree(project_dir, wt_path)
+
+ def evaluate_batch(
+ self,
+ workflows: list[Workflow],
+ project_dir: str,
+ instances: list[str],
+ parallelism: int = 1,
+ ) -> list[EvalResult]:
+ """Evaluate multiple workflows, optionally in parallel with worktree isolation."""
+ if parallelism <= 1 or len(workflows) <= 1:
+ return [self.evaluate(wf, project_dir, instances) for wf in workflows]
+
+ results: list[EvalResult | None] = [None] * len(workflows)
+ with ThreadPoolExecutor(max_workers=min(parallelism, len(workflows))) as pool:
+ futures = {
+ pool.submit(self.evaluate, wf, project_dir, instances): idx
+ for idx, wf in enumerate(workflows)
+ }
+ for future in as_completed(futures):
+ idx = futures[future]
+ try:
+ results[idx] = future.result()
+ except Exception as exc:
+ log.error("batch_eval_failed", index=idx, error=str(exc))
+ results[idx] = EvalResult(score=0.0, details={"error": str(exc)})
+
+ return [r or EvalResult(score=0.0) for r in results]
+
+ def _compute_composite(self, result: EvalResult) -> float:
+ norm_cost = min(result.cost_usd / 10.0, 1.0) if result.cost_usd > 0 else 0.0
+ norm_complexity = min(result.complexity / 20.0, 1.0) if result.complexity > 0 else 0.0
+ return (
+ 0.6 * result.benchmark_score
+ + 0.2 * result.hygiene_score
+ + 0.1 * (1.0 - norm_cost)
+ + 0.1 * (1.0 - norm_complexity)
+ )
+
+ @staticmethod
+ def _read_cycle_summary(project_dir: Path, mode: str) -> dict | None:
+ summary_path = (
+ project_dir / ".factory" / "outer_loop" / "runs" / mode / "cycle_summary.json"
+ )
+ if not summary_path.exists():
+ return None
+ try:
+ return json.loads(summary_path.read_text())
+ except (json.JSONDecodeError, OSError):
+ return None
+
+ def _check_mandatory_components(self, workflow: Workflow) -> bool:
+ if not self._config.mandatory_node_roles:
+ return True
+ present_roles: set[str] = set()
+ for node in workflow.nodes.values():
+ if hasattr(node, "role"):
+ present_roles.add(node.role.value if hasattr(node.role, "value") else str(node.role))
+ for role in self._config.mandatory_node_roles:
+ if role not in present_roles:
+ return False
+ return True
+
+ def _check_frozen_nodes(self, workflow: Workflow) -> bool:
+ for fid in self._config.frozen_node_ids:
+ if fid not in workflow.nodes:
+ return False
+ return True
diff --git a/factory/outer_loop/evaluators/__init__.py b/factory/outer_loop/evaluators/__init__.py
new file mode 100644
index 000000000..eaa52154b
--- /dev/null
+++ b/factory/outer_loop/evaluators/__init__.py
@@ -0,0 +1,49 @@
+"""Pluggable test output parsers for multi-benchmark support.
+
+Each evaluator implements the Evaluator protocol from factory.inner_loop,
+parsing output artifacts produced by test_command subprocess execution.
+"""
+
+from __future__ import annotations
+
+from factory.inner_loop import Evaluator
+from factory.outer_loop.evaluators.pytest_evaluator import PytestEvaluator
+from factory.outer_loop.evaluators.exit_code import ExitCodeEvaluator
+from factory.outer_loop.evaluators.json_evaluator import JSONEvaluator
+from factory.outer_loop.evaluators.exact_match import ExactMatchEvaluator
+
+_REGISTRY: dict[str, type[Evaluator]] = {
+ "pytest": PytestEvaluator,
+ "exit_code": ExitCodeEvaluator,
+ "json": JSONEvaluator,
+ "exact_match": ExactMatchEvaluator,
+}
+
+
+def get_evaluator(test_format: str, **kwargs: object) -> Evaluator:
+ """Create an evaluator for the given test output format.
+
+ Raises ValueError for unknown formats.
+ """
+ cls = _REGISTRY.get(test_format)
+ if cls is None:
+ raise ValueError(
+ f"Unknown test_format {test_format!r}. "
+ f"Available: {sorted(_REGISTRY.keys())}"
+ )
+ return cls(**kwargs) # type: ignore[arg-type]
+
+
+def list_formats() -> list[str]:
+ """Return all registered test format names."""
+ return sorted(_REGISTRY.keys())
+
+
+__all__ = [
+ "ExactMatchEvaluator",
+ "ExitCodeEvaluator",
+ "JSONEvaluator",
+ "PytestEvaluator",
+ "get_evaluator",
+ "list_formats",
+]
diff --git a/factory/outer_loop/evaluators/exact_match.py b/factory/outer_loop/evaluators/exact_match.py
new file mode 100644
index 000000000..79034fa64
--- /dev/null
+++ b/factory/outer_loop/evaluators/exact_match.py
@@ -0,0 +1,95 @@
+"""Exact match evaluator — compare output to expected answer.
+
+Used by math benchmarks like AIME where the answer is a single value
+that must match exactly (after optional regex extraction).
+"""
+
+from __future__ import annotations
+
+import json
+import re
+from pathlib import Path
+
+from factory.inner_loop import EvalResult
+
+
+class ExactMatchEvaluator:
+ """Compares extracted output to expected answer.
+
+ If answer_extraction regex is provided, applies it to extract the
+ answer from the output (e.g. r"\\boxed{(\\d+)}" for LaTeX math).
+ Score 1.0 on match, 0.0 otherwise.
+ """
+
+ def __init__(
+ self,
+ answer_extraction: str = "",
+ **kwargs: object,
+ ) -> None:
+ self.answer_extraction = answer_extraction
+ self._pattern: re.Pattern[str] | None = None
+ if answer_extraction:
+ try:
+ self._pattern = re.compile(answer_extraction)
+ except re.error:
+ self._pattern = None
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text(errors="replace"))
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+
+ output = str(data.get("output", ""))
+ expected = str(data.get("expected", ""))
+
+ if not expected:
+ return EvalResult(score=0.0, valid=False)
+
+ extracted = self._extract_answer(output)
+ match = extracted.strip() == expected.strip()
+ score = 1.0 if match else 0.0
+
+ return EvalResult(
+ score=score,
+ metrics={"match": score, "extracted": 1.0 if extracted != output else 0.0},
+ valid=True,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ if not artifact_paths:
+ return EvalResult(score=0.0, valid=False)
+ total = 0
+ correct = 0
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.valid:
+ total += 1
+ if result.score > 0:
+ correct += 1
+ if total == 0:
+ return EvalResult(score=0.0, valid=False)
+ score = correct / total
+ return EvalResult(
+ score=score,
+ metrics={"correct": float(correct), "total": float(total), "accuracy": score},
+ valid=True,
+ )
+
+ def get_info(self) -> dict:
+ return {
+ "test_format": "exact_match",
+ "scoring": "exact_match",
+ "answer_extraction": self.answer_extraction,
+ }
+
+ def _extract_answer(self, text: str) -> str:
+ if self._pattern is None:
+ return text
+ match = self._pattern.search(text)
+ if match and match.groups():
+ return match.group(1)
+ if match:
+ return match.group(0)
+ return text
diff --git a/factory/outer_loop/evaluators/exit_code.py b/factory/outer_loop/evaluators/exit_code.py
new file mode 100644
index 000000000..7d498c98b
--- /dev/null
+++ b/factory/outer_loop/evaluators/exit_code.py
@@ -0,0 +1,68 @@
+"""Exit code evaluator — binary pass/fail from subprocess return code.
+
+Used by benchmarks like SWE-bench where success is determined by
+whether the test command exits with code 0.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.inner_loop import EvalResult
+
+
+class ExitCodeEvaluator:
+ """Binary pass/fail scoring from subprocess exit code.
+
+ Reads an artifact JSON with {"returncode": N, ...}.
+ Score 1.0 if returncode is 0, else 0.0.
+ """
+
+ def __init__(self, **kwargs: object) -> None:
+ pass
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text(errors="replace"))
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+
+ returncode = data.get("returncode")
+ if returncode is None:
+ return EvalResult(score=0.0, valid=False)
+
+ score = 1.0 if returncode == 0 else 0.0
+ return EvalResult(
+ score=score,
+ metrics={"returncode": float(returncode), "passed": score},
+ valid=True,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ if not artifact_paths:
+ return EvalResult(score=0.0, valid=False)
+ total = 0
+ passed = 0
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.valid:
+ total += 1
+ if result.score > 0:
+ passed += 1
+ if total == 0:
+ return EvalResult(score=0.0, valid=False)
+ score = passed / total
+ return EvalResult(
+ score=score,
+ metrics={"passed": float(passed), "total": float(total), "pass_rate": score},
+ valid=True,
+ )
+
+ def get_info(self) -> dict:
+ return {
+ "test_format": "exit_code",
+ "scoring": "binary",
+ "metrics": ["returncode", "passed"],
+ }
diff --git a/factory/outer_loop/evaluators/json_evaluator.py b/factory/outer_loop/evaluators/json_evaluator.py
new file mode 100644
index 000000000..8d0d13c12
--- /dev/null
+++ b/factory/outer_loop/evaluators/json_evaluator.py
@@ -0,0 +1,76 @@
+"""JSON evaluator — extract a metric from JSON output.
+
+Used by benchmarks that produce structured JSON results with a
+configurable metric path (e.g. "pass_rate" or "stats.resolve_rate").
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.inner_loop import EvalResult
+
+
+class JSONEvaluator:
+ """Extracts a numeric metric from JSON output via a dotted path.
+
+ The metric_path supports dotted notation for nested fields:
+ e.g. "stats.resolve_rate" reads data["stats"]["resolve_rate"].
+ """
+
+ def __init__(self, metric_path: str = "score", **kwargs: object) -> None:
+ self.metric_path = metric_path
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text(errors="replace"))
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+
+ value = self._extract(data, self.metric_path)
+ if value is None:
+ return EvalResult(score=0.0, valid=False)
+
+ try:
+ score = float(value) # type: ignore[arg-type]
+ except (TypeError, ValueError):
+ return EvalResult(score=0.0, valid=False)
+
+ metrics: dict[str, float] = {self.metric_path: score}
+ for k, v in data.items():
+ if isinstance(v, (int, float)) and k != self.metric_path:
+ metrics[k] = float(v)
+
+ return EvalResult(
+ score=score,
+ metrics=metrics,
+ valid=True,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ best = EvalResult(score=0.0, valid=False)
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.valid and result.score > best.score:
+ best = result
+ return best
+
+ def get_info(self) -> dict:
+ return {
+ "test_format": "json",
+ "scoring": "metric_extraction",
+ "metric_path": self.metric_path,
+ }
+
+ @staticmethod
+ def _extract(data: dict, path: str) -> object:
+ parts = path.split(".")
+ current: object = data
+ for part in parts:
+ if isinstance(current, dict):
+ current = current.get(part)
+ else:
+ return None
+ return current
diff --git a/factory/outer_loop/evaluators/pytest_evaluator.py b/factory/outer_loop/evaluators/pytest_evaluator.py
new file mode 100644
index 000000000..35eb26437
--- /dev/null
+++ b/factory/outer_loop/evaluators/pytest_evaluator.py
@@ -0,0 +1,100 @@
+"""Pytest output evaluator — partial credit scoring from pytest results.
+
+Moved from featurebench_evaluator.py. Parses pytest-json-report output
+or factory eval artifacts for per-test pass/fail fraction scoring.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.inner_loop import EvalResult
+
+
+class PytestEvaluator:
+ """Parses pytest output for partial credit scoring.
+
+ Looks for pytest-json-report output files (report.json) or factory
+ eval artifacts. Computes score as fraction of tests passing.
+ """
+
+ def __init__(self, benchmark: str = "featurebench", **kwargs: object) -> None:
+ self.benchmark = benchmark
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text(errors="replace"))
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+
+ score, metrics = self._extract_partial_credit(data)
+ return EvalResult(
+ score=score,
+ metrics=metrics,
+ valid=True,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ best = EvalResult(score=0.0, valid=False)
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.score > best.score:
+ best = result
+ return best
+
+ def get_info(self) -> dict:
+ return {
+ "benchmark": self.benchmark,
+ "scoring": "partial_credit",
+ "test_format": "pytest",
+ "metrics": ["tests_passed", "tests_total", "pass_rate"],
+ }
+
+ def _extract_partial_credit(self, data: dict) -> tuple[float, dict[str, float]]:
+ if "tests" in data:
+ return self._parse_pytest_json_report(data)
+ if "results" in data:
+ return self._parse_factory_eval(data)
+ if "summary" in data:
+ summary = data["summary"]
+ passed = summary.get("passed", 0)
+ total = summary.get("total", 0)
+ if total > 0:
+ score = passed / total
+ return score, {
+ "tests_passed": float(passed),
+ "tests_total": float(total),
+ "pass_rate": score,
+ }
+ score = float(data.get("score", data.get("combined_score", 0.0)))
+ return score, {"raw_score": score}
+
+ def _parse_pytest_json_report(self, data: dict) -> tuple[float, dict[str, float]]:
+ tests = data.get("tests", [])
+ if not tests:
+ return 0.0, {"tests_passed": 0.0, "tests_total": 0.0, "pass_rate": 0.0}
+ passed = sum(1 for t in tests if t.get("outcome") == "passed")
+ total = len(tests)
+ score = passed / total if total > 0 else 0.0
+ return score, {
+ "tests_passed": float(passed),
+ "tests_total": float(total),
+ "pass_rate": score,
+ }
+
+ def _parse_factory_eval(self, data: dict) -> tuple[float, dict[str, float]]:
+ results = data.get("results", [])
+ if not results:
+ return 0.0, {}
+ scores = [float(r.get("score", 0.0)) for r in results if "score" in r]
+ if not scores:
+ return 0.0, {}
+ avg = sum(scores) / len(scores)
+ return avg, {
+ "avg_score": avg,
+ "max_score": max(scores),
+ "min_score": min(scores),
+ "num_results": float(len(scores)),
+ }
diff --git a/factory/outer_loop/featurebench_evaluator.py b/factory/outer_loop/featurebench_evaluator.py
new file mode 100644
index 000000000..56436ae68
--- /dev/null
+++ b/factory/outer_loop/featurebench_evaluator.py
@@ -0,0 +1,154 @@
+"""FeatureBench evaluator — implements the Evaluator protocol with partial credit scoring.
+
+Parses pytest-json-report output for per-test pass/fail to produce a fraction
+score (e.g. 5/8 = 0.625) instead of binary 0/1. This is the gradient signal
+that enables evolutionary search to optimize incrementally.
+
+The canonical implementation now lives in factory.outer_loop.evaluators.pytest_evaluator.
+This module keeps FeatureBenchEvaluator as a backward-compatible class and
+parse_pytest_stdout() as a standalone utility.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import structlog
+
+from factory.inner_loop import EvalResult
+
+log = structlog.get_logger()
+
+
+class FeatureBenchEvaluator:
+ """Parses FeatureBench pytest output for partial credit scoring.
+
+ Looks for pytest-json-report output files (report.json) or factory
+ eval artifacts. Computes score as fraction of tests passing.
+ """
+
+ def __init__(self, benchmark: str = "featurebench") -> None:
+ self.benchmark = benchmark
+
+ def parse(self, artifact_path: Path) -> EvalResult:
+ try:
+ data = json.loads(Path(artifact_path).read_text())
+ except (json.JSONDecodeError, OSError):
+ return EvalResult(score=0.0, valid=False)
+
+ score, metrics = self._extract_partial_credit(data)
+ return EvalResult(
+ score=score,
+ metrics=metrics,
+ valid=True,
+ artifacts=[str(artifact_path)],
+ )
+
+ def parse_many(self, artifact_paths: list[Path]) -> EvalResult:
+ best = EvalResult(score=0.0, valid=False)
+ for p in artifact_paths:
+ result = self.parse(p)
+ if result.score > best.score:
+ best = result
+ return best
+
+ def get_info(self) -> dict:
+ return {
+ "benchmark": self.benchmark,
+ "scoring": "partial_credit",
+ "metrics": ["tests_passed", "tests_total", "pass_rate"],
+ }
+
+ def _extract_partial_credit(self, data: dict) -> tuple[float, dict[str, float]]:
+ """Extract partial credit from pytest-json-report or factory eval output."""
+ if "tests" in data:
+ return self._parse_pytest_json_report(data)
+
+ if "results" in data:
+ return self._parse_factory_eval(data)
+
+ if "summary" in data:
+ summary = data["summary"]
+ passed = summary.get("passed", 0)
+ total = summary.get("total", 0)
+ if total > 0:
+ score = passed / total
+ return score, {
+ "tests_passed": float(passed),
+ "tests_total": float(total),
+ "pass_rate": score,
+ }
+
+ score = float(data.get("score", data.get("combined_score", 0.0)))
+ return score, {"raw_score": score}
+
+ def _parse_pytest_json_report(self, data: dict) -> tuple[float, dict[str, float]]:
+ """Parse pytest-json-report format: {"tests": [{"outcome": "passed"}, ...]}"""
+ tests = data.get("tests", [])
+ if not tests:
+ return 0.0, {"tests_passed": 0.0, "tests_total": 0.0, "pass_rate": 0.0}
+
+ passed = sum(1 for t in tests if t.get("outcome") == "passed")
+ total = len(tests)
+ score = passed / total if total > 0 else 0.0
+
+ return score, {
+ "tests_passed": float(passed),
+ "tests_total": float(total),
+ "pass_rate": score,
+ }
+
+ def _parse_factory_eval(self, data: dict) -> tuple[float, dict[str, float]]:
+ """Parse factory eval format: {"results": [{"score": 0.8, ...}]}"""
+ results = data.get("results", [])
+ if not results:
+ return 0.0, {}
+
+ scores = [float(r.get("score", 0.0)) for r in results if "score" in r]
+ if not scores:
+ return 0.0, {}
+
+ avg = sum(scores) / len(scores)
+ return avg, {
+ "avg_score": avg,
+ "max_score": max(scores),
+ "min_score": min(scores),
+ "num_results": float(len(scores)),
+ }
+
+
+def parse_pytest_stdout(stdout: str) -> dict[str, float]:
+ """Parse pytest stdout for pass/fail counts when no JSON report is available.
+
+ Looks for the summary line: "X passed, Y failed, Z errors" or similar.
+ Returns metrics dict with tests_passed, tests_total, pass_rate.
+ """
+ import re
+
+ metrics: dict[str, float] = {"tests_passed": 0.0, "tests_total": 0.0, "pass_rate": 0.0}
+
+ patterns = [
+ (r"(\d+)\s+passed", "passed"),
+ (r"(\d+)\s+failed", "failed"),
+ (r"(\d+)\s+error", "errors"),
+ (r"(\d+)\s+skipped", "skipped"),
+ ]
+
+ counts: dict[str, int] = {}
+ for pattern, key in patterns:
+ match = re.search(pattern, stdout)
+ if match:
+ counts[key] = int(match.group(1))
+
+ passed = counts.get("passed", 0)
+ failed = counts.get("failed", 0)
+ errors = counts.get("errors", 0)
+ total = passed + failed + errors
+
+ if total > 0:
+ metrics["tests_passed"] = float(passed)
+ metrics["tests_total"] = float(total)
+ metrics["pass_rate"] = passed / total
+
+ return metrics
diff --git a/factory/outer_loop/featurebench_inner_loop.py b/factory/outer_loop/featurebench_inner_loop.py
new file mode 100644
index 000000000..760b1598a
--- /dev/null
+++ b/factory/outer_loop/featurebench_inner_loop.py
@@ -0,0 +1,94 @@
+"""FeatureBenchInnerLoop — InnerLoop subclass for FeatureBench evaluation.
+
+Wraps a candidate workflow as an ephemeral mode name, runs InnerLoop.step()
+to produce a CycleRecord with full exhaust data (AgentSteps, NodeTraces,
+partial credit scores).
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import structlog
+
+from factory.cycle_analyzer import CycleRecord
+from factory.inner_loop import Evaluator, InnerLoop
+from factory.outer_loop.featurebench_evaluator import FeatureBenchEvaluator
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+class FeatureBenchInnerLoop:
+ """Evaluates a candidate workflow on a FeatureBench instance via InnerLoop.
+
+ Each candidate workflow is registered as an ephemeral mode. InnerLoop.step()
+ runs it as a subprocess, and CycleAnalyzer reads execution artifacts into
+ a CycleRecord with full exhaust.
+ """
+
+ def __init__(
+ self,
+ project_dir: Path,
+ mode: str,
+ workflow: Workflow | None = None,
+ frozen_nodes: frozenset[str] = frozenset(),
+ test_command: str = "",
+ test_format: str = "pytest",
+ metric_path: str = "score",
+ ) -> None:
+ evaluator: Evaluator
+ if test_format == "pytest":
+ evaluator = FeatureBenchEvaluator()
+ else:
+ from factory.outer_loop.evaluators import get_evaluator
+ evaluator = get_evaluator(test_format, metric_path=metric_path)
+ self._evaluator = evaluator
+ self._inner_loop = InnerLoop(
+ project_dir=project_dir,
+ mode=mode,
+ evaluator=self._evaluator,
+ workflow=workflow,
+ frozen_nodes=frozen_nodes,
+ test_command=test_command,
+ test_format=test_format,
+ metric_path=metric_path,
+ )
+
+ @property
+ def project_dir(self) -> Path:
+ return self._inner_loop.project_dir
+
+ @property
+ def mode(self) -> str:
+ return self._inner_loop.mode
+
+ def step(self, directives: dict | None = None) -> CycleRecord:
+ """Run one evaluation cycle and return the CycleRecord with full exhaust."""
+ log.info(
+ "featurebench_step",
+ mode=self.mode,
+ project_dir=str(self.project_dir),
+ )
+ record = self._inner_loop.step(directives=directives)
+ log.info(
+ "featurebench_step_done",
+ mode=self.mode,
+ score_end=record.score_end,
+ experiments=len(record.experiments),
+ steps=len(record.steps),
+ )
+ return record
+
+ def collect(self) -> CycleRecord:
+ """Collect results without running a cycle."""
+ return self._inner_loop.collect()
+
+ def score_trajectory(self) -> list[float]:
+ return self._inner_loop.score_trajectory()
+
+ def total_cost(self) -> float:
+ return self._inner_loop.total_cost()
+
+ def history(self) -> list[CycleRecord]:
+ return self._inner_loop.history()
diff --git a/factory/outer_loop/filesystem.py b/factory/outer_loop/filesystem.py
new file mode 100644
index 000000000..7aea00631
--- /dev/null
+++ b/factory/outer_loop/filesystem.py
@@ -0,0 +1,229 @@
+"""Experiment filesystem setup and checkpoint/resume for the outer loop."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import structlog
+
+from factory.outer_loop.models import (
+ GenerationSummary,
+ OuterLoopResult,
+ OuterLoopState,
+ SwarmConfig,
+)
+from factory.outer_loop.population import MAPElitesArchive, Population
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+def init_filesystem(project_path: Path, config: SwarmConfig) -> Path:
+ """Create the .factory/outer_loop/ directory structure.
+
+ Returns the outer_loop root directory.
+ """
+ root = project_path / ".factory" / "outer_loop"
+ root.mkdir(parents=True, exist_ok=True)
+
+ (root / "archive").mkdir(exist_ok=True)
+ (root / "map-elites").mkdir(exist_ok=True)
+ (root / "best").mkdir(exist_ok=True)
+
+ config_path = root / "config.json"
+ config_path.write_text(
+ json.dumps(config.model_dump(mode="json"), indent=2)
+ )
+
+ state = OuterLoopState(budget_remaining=config.budget)
+ state_path = root / "state.json"
+ state_path.write_text(
+ json.dumps(state.model_dump(mode="json"), indent=2)
+ )
+
+ cache_path = root / "fitness_cache.json"
+ if not cache_path.exists():
+ cache_path.write_text("{}")
+
+ trajectory_path = root / "trajectory.jsonl"
+ if not trajectory_path.exists():
+ trajectory_path.touch()
+
+ log.info("outer_loop_filesystem_initialized", root=str(root))
+ return root
+
+
+def save_generation(
+ project_path: Path,
+ generation: int,
+ summary: GenerationSummary,
+ population: Population,
+) -> None:
+ """Save generation artifacts to .factory/outer_loop/archive/generation-NNN/."""
+ root = project_path / ".factory" / "outer_loop"
+ gen_dir = root / "archive" / f"generation-{generation:03d}"
+ gen_dir.mkdir(parents=True, exist_ok=True)
+
+ summary_path = gen_dir / "summary.json"
+ summary_path.write_text(
+ json.dumps(summary.model_dump(mode="json"), indent=2)
+ )
+
+ if summary.hyperparameters:
+ hp_path = gen_dir / "hyperparameters.json"
+ hp_path.write_text(
+ json.dumps(summary.hyperparameters.model_dump(mode="json"), indent=2)
+ )
+
+ for i, ind in enumerate(population.individuals):
+ var_dir = gen_dir / f"variant-{i:02d}"
+ var_dir.mkdir(exist_ok=True)
+ (var_dir / "workflow.json").write_text(
+ json.dumps(ind.workflow_data, indent=2, default=str)
+ )
+ if ind.mutation_record:
+ (var_dir / "mutation.json").write_text(
+ json.dumps(ind.mutation_record.model_dump(mode="json"), indent=2)
+ )
+ (var_dir / "scores.json").write_text(
+ json.dumps({"score": ind.score, "cost_usd": ind.cost_usd}, indent=2)
+ )
+
+ traj_path = root / "trajectory.jsonl"
+ with traj_path.open("a") as f:
+ entry = {
+ "generation": generation,
+ "best_score": summary.best_score,
+ "mean_score": summary.mean_score,
+ "diversity": summary.diversity,
+ "novel_count": summary.novel_count,
+ }
+ f.write(json.dumps(entry) + "\n")
+
+
+def save_checkpoint(
+ project_path: Path,
+ state: OuterLoopState,
+) -> None:
+ """Write OuterLoopState to .factory/outer_loop/state.json."""
+ state_path = project_path / ".factory" / "outer_loop" / "state.json"
+ state_path.parent.mkdir(parents=True, exist_ok=True)
+ state_path.write_text(
+ json.dumps(state.model_dump(mode="json"), indent=2)
+ )
+ log.info("outer_loop_checkpoint_saved", generation=state.generation)
+
+
+def load_checkpoint(project_path: Path) -> OuterLoopState | None:
+ """Load OuterLoopState from .factory/outer_loop/state.json if it exists."""
+ state_path = project_path / ".factory" / "outer_loop" / "state.json"
+ if not state_path.exists():
+ return None
+ try:
+ data = json.loads(state_path.read_text())
+ return OuterLoopState.model_validate(data, strict=False)
+ except Exception:
+ log.warning("outer_loop_checkpoint_load_failed", exc_info=True)
+ return None
+
+
+def load_config(project_path: Path) -> SwarmConfig | None:
+ """Load SwarmConfig from .factory/outer_loop/config.json if it exists."""
+ config_path = project_path / ".factory" / "outer_loop" / "config.json"
+ if not config_path.exists():
+ return None
+ try:
+ data = json.loads(config_path.read_text())
+ return SwarmConfig.model_validate(data, strict=False)
+ except Exception:
+ log.warning("outer_loop_config_load_failed", exc_info=True)
+ return None
+
+
+def save_map_elites(project_path: Path, archive: MAPElitesArchive) -> None:
+ """Persist the MAP-Elites grid to .factory/outer_loop/map-elites/grid.json."""
+ grid_path = project_path / ".factory" / "outer_loop" / "map-elites" / "grid.json"
+ grid_path.parent.mkdir(parents=True, exist_ok=True)
+
+ grid_data: dict[str, object] = {}
+ for key, ind in archive._grid.items():
+ grid_data[str(key)] = ind.model_dump(mode="json")
+
+ grid_path.write_text(json.dumps(grid_data, indent=2, default=str))
+
+
+def save_best(
+ project_path: Path,
+ result: OuterLoopResult,
+) -> None:
+ """Write the best workflow and audit results to .factory/outer_loop/best/."""
+ best_dir = project_path / ".factory" / "outer_loop" / "best"
+ best_dir.mkdir(parents=True, exist_ok=True)
+
+ (best_dir / "workflow.json").write_text(
+ json.dumps(result.best_workflow_data, indent=2, default=str)
+ )
+
+ if result.holdout_score > 0 or result.overfit_flag:
+ audit = {
+ "holdout_score": result.holdout_score,
+ "overfit_flag": result.overfit_flag,
+ "best_score": result.best_score,
+ }
+ (best_dir / "holdout_audit.json").write_text(
+ json.dumps(audit, indent=2)
+ )
+
+
+def export_best_workflow(
+ project_path: Path,
+ best_workflow_data: dict[str, object],
+ benchmark_name: str,
+) -> Path:
+ """Export the best workflow as a portable .factory/workflows/<benchmark>-evolved.py.
+
+ Returns the path to the exported file.
+ """
+ workflows_dir = project_path / ".factory" / "workflows"
+ workflows_dir.mkdir(parents=True, exist_ok=True)
+
+ export_path = workflows_dir / f"{benchmark_name}-evolved.py"
+
+ wf = Workflow.from_dict(best_workflow_data) # type: ignore[arg-type]
+
+ wf_json = json.dumps(wf.to_dict(), indent=4, default=str)
+ content = (
+ f'"""Auto-evolved workflow for {benchmark_name}."""\n'
+ f"\n"
+ f"from factory.workflow.primitives import (\n"
+ f" AgentNode,\n"
+ f" AgentRole,\n"
+ f" Edge,\n"
+ f" FnNode,\n"
+ f" GateNode,\n"
+ f" Study,\n"
+ f" VerdictType,\n"
+ f" Workflow,\n"
+ f")\n"
+ f"\n"
+ f"\n"
+ f"meta = {{\n"
+ f' "name": "{benchmark_name}-evolved",\n'
+ f' "description": "Evolved workflow for {benchmark_name} benchmark",\n'
+ f"}}\n"
+ f"\n"
+ f"\n"
+ f"def workflow() -> Workflow:\n"
+ f' """Evolved workflow for {benchmark_name}."""\n'
+ f" return Workflow.from_dict({wf_json})\n"
+ )
+
+ export_path.write_text(content)
+
+ also_best = project_path / ".factory" / "outer_loop" / "best" / "workflow.py"
+ also_best.parent.mkdir(parents=True, exist_ok=True)
+ also_best.write_text(export_path.read_text())
+
+ log.info("best_workflow_exported", path=str(export_path))
+ return export_path
diff --git a/factory/outer_loop/instance_prep.py b/factory/outer_loop/instance_prep.py
new file mode 100644
index 000000000..d0765ec0f
--- /dev/null
+++ b/factory/outer_loop/instance_prep.py
@@ -0,0 +1,122 @@
+"""Instance preparation — prepare benchmark instances from config.
+
+Runs prep_command from benchmark config, validates results, and creates
+instance directories ready for the outer loop.
+"""
+
+from __future__ import annotations
+
+import re
+import shlex
+import subprocess
+from pathlib import Path
+
+import structlog
+
+from factory.outer_loop.benchmark_config import BenchmarkConfig
+
+log = structlog.get_logger()
+
+_SHELL_OPERATORS_RE = re.compile(r"&&|\|\||[;|]")
+
+
+def _needs_shell(cmd: str) -> bool:
+ """Return True if cmd contains shell operators that require shell=True."""
+ return bool(_SHELL_OPERATORS_RE.search(cmd))
+
+
+def prepare_instances(
+ config: BenchmarkConfig,
+ instance_ids: list[str],
+ output_dir: Path,
+) -> list[Path]:
+ """Prepare benchmark instances using the config's prep_command.
+
+ Expands template variables ({instance_id}, {instance_dir}) in prep_command,
+ runs via subprocess, validates required files exist based on instance_format.
+ Uses shell=True when the command contains shell operators (&&, ||, ;, |).
+
+ Returns list of successfully prepared instance directories.
+ """
+ output_dir = Path(output_dir).resolve()
+ output_dir.mkdir(parents=True, exist_ok=True)
+
+ prepared: list[Path] = []
+
+ for instance_id in instance_ids:
+ instance_dir = output_dir / instance_id
+ instance_dir.mkdir(parents=True, exist_ok=True)
+
+ if config.prep_command:
+ cmd = config.prep_command.replace(
+ "{instance_id}", instance_id
+ ).replace(
+ "{instance_dir}", str(instance_dir)
+ )
+
+ use_shell = _needs_shell(cmd)
+ log.info("prep_instance", instance_id=instance_id, command=cmd, shell=use_shell)
+ try:
+ result = subprocess.run(
+ cmd if use_shell else shlex.split(cmd),
+ cwd=str(output_dir),
+ capture_output=True,
+ text=True,
+ timeout=300,
+ shell=use_shell,
+ )
+ if result.returncode != 0:
+ log.error(
+ "prep_instance_failed",
+ instance_id=instance_id,
+ returncode=result.returncode,
+ stderr=result.stderr[:500],
+ )
+ continue
+ except subprocess.TimeoutExpired:
+ log.error("prep_instance_timeout", instance_id=instance_id)
+ continue
+ except Exception as exc:
+ log.error("prep_instance_error", instance_id=instance_id, error=str(exc))
+ continue
+
+ if validate_instance(instance_dir, config.instance_format):
+ prepared.append(instance_dir)
+ log.info("prep_instance_ok", instance_id=instance_id)
+ else:
+ log.warning("prep_instance_invalid", instance_id=instance_id, format=config.instance_format)
+
+ return prepared
+
+
+def validate_instance(instance_dir: Path, instance_format: str) -> bool:
+ """Validate that an instance directory matches the expected format."""
+ if not instance_dir.exists():
+ return False
+
+ if instance_format == "git-repo":
+ git_dir = instance_dir / ".git"
+ if not git_dir.exists():
+ return False
+ try:
+ result = subprocess.run(
+ ["git", "fsck", "--quick"],
+ cwd=str(instance_dir),
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+ return result.returncode == 0
+ except Exception:
+ return False
+
+ if instance_format == "question-answer":
+ has_question = (instance_dir / "question.txt").exists() or (
+ instance_dir / "question.md"
+ ).exists()
+ has_answer = (instance_dir / "answer.txt").exists() or (
+ instance_dir / "expected.txt"
+ ).exists()
+ return has_question and has_answer
+
+ return instance_dir.exists() and instance_dir.is_dir()
diff --git a/factory/outer_loop/mode_registry.py b/factory/outer_loop/mode_registry.py
new file mode 100644
index 000000000..4a6b7fa56
--- /dev/null
+++ b/factory/outer_loop/mode_registry.py
@@ -0,0 +1,247 @@
+"""Ephemeral mode lifecycle management for outer loop evolution.
+
+Each candidate workflow is registered as a temporary mode (evolve-gen{N}-{id[:8]})
+so InnerLoop.step() can run it via `factory ceo --mode <name>`. Modes are stored
+as JSON files in .factory/outer_loop/modes/ with content-addressable hashing.
+
+Uses context manager protocol for guaranteed cleanup.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import time
+from pathlib import Path
+
+import structlog
+
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+class EphemeralModeRegistry:
+ """Register/cleanup/promote ephemeral workflow modes for evolution.
+
+ Each mode is stored as a JSON file at .factory/outer_loop/modes/{mode_name}.json.
+ A thin .py wrapper is also written to .factory/workflows/{mode_name}.py so the
+ WorkflowRegistry can discover the mode when a sub-CEO runs --mode <name>.
+ Naming: evolve-gen{N}-{individual_id[:8]} — never collides with main registry.
+
+ When target_dir differs from project_dir (e.g. --project-dir targets a
+ FeatureBench instance), wrappers and mode JSONs are also written to the
+ target directory so the sub-CEO can resolve the ephemeral mode.
+ """
+
+ def __init__(self, project_dir: Path, target_dir: Path | None = None) -> None:
+ self._project_dir = Path(project_dir)
+ self._target_dir = Path(target_dir) if target_dir else None
+ self._modes_dir = self._project_dir / ".factory" / "outer_loop" / "modes"
+ self._workflows_dir = self._project_dir / ".factory" / "workflows"
+ self._registered: dict[str, str] = {}
+
+ @property
+ def has_target(self) -> bool:
+ return self._target_dir is not None and self._target_dir != self._project_dir
+
+ def __enter__(self) -> EphemeralModeRegistry:
+ self._modes_dir.mkdir(parents=True, exist_ok=True)
+ return self
+
+ def __exit__(self, *exc: object) -> None:
+ self.cleanup_all()
+
+ def _write_workflow_wrapper(self, mode_name: str, base_dir: Path | None = None) -> None:
+ """Write a thin .py wrapper to .factory/workflows/ for WorkflowRegistry discovery."""
+ workflows_dir = (base_dir or self._project_dir) / ".factory" / "workflows"
+ workflows_dir.mkdir(parents=True, exist_ok=True)
+ wrapper = (
+ "import json\n"
+ "from pathlib import Path\n"
+ "from factory.workflow.primitives import Workflow\n"
+ "\n"
+ f"meta = {{'name': '{mode_name}', 'description': 'Ephemeral outer-loop candidate'}}\n"
+ "\n"
+ "def workflow():\n"
+ f" data_path = Path(__file__).parent.parent / 'outer_loop' / 'modes' / '{mode_name}.json'\n"
+ " data = json.loads(data_path.read_text())\n"
+ " data.pop('_content_hash', None)\n"
+ " return Workflow.from_dict(data)\n"
+ )
+ (workflows_dir / f"{mode_name}.py").write_text(wrapper)
+
+ def _remove_workflow_wrapper(self, mode_name: str, base_dir: Path | None = None) -> None:
+ """Remove the .py wrapper from .factory/workflows/."""
+ workflows_dir = (base_dir or self._project_dir) / ".factory" / "workflows"
+ wrapper = workflows_dir / f"{mode_name}.py"
+ if wrapper.exists():
+ wrapper.unlink()
+
+ def register(
+ self,
+ individual_id: str,
+ generation: int,
+ workflow: Workflow,
+ ) -> str:
+ """Register a workflow as an ephemeral mode. Returns the mode name."""
+ mode_name = f"evolve-gen{generation}-{individual_id[:8]}"
+ self._modes_dir.mkdir(parents=True, exist_ok=True)
+
+ wf_data = workflow.to_dict()
+ wf_data["name"] = mode_name
+
+ content = json.dumps(wf_data, indent=2, sort_keys=True)
+ content_hash = hashlib.sha256(content.encode()).hexdigest()[:16]
+ wf_data["_content_hash"] = content_hash
+
+ mode_json = json.dumps(wf_data, indent=2, sort_keys=True)
+ mode_path = self._modes_dir / f"{mode_name}.json"
+ mode_path.write_text(mode_json)
+
+ self._write_workflow_wrapper(mode_name)
+
+ if self.has_target:
+ assert self._target_dir is not None
+ target_modes = self._target_dir / ".factory" / "outer_loop" / "modes"
+ target_modes.mkdir(parents=True, exist_ok=True)
+ (target_modes / f"{mode_name}.json").write_text(mode_json)
+ self._write_workflow_wrapper(mode_name, base_dir=self._target_dir)
+ log.debug("ephemeral_mode_mirrored_to_target", mode=mode_name, target=str(self._target_dir))
+
+ self._registered[mode_name] = str(mode_path)
+ log.info(
+ "ephemeral_mode_registered",
+ mode=mode_name,
+ generation=generation,
+ nodes=len(workflow.nodes),
+ hash=content_hash,
+ )
+ return mode_name
+
+ def load(self, mode_name: str) -> Workflow | None:
+ """Load a registered ephemeral mode's workflow."""
+ mode_path = self._modes_dir / f"{mode_name}.json"
+ if not mode_path.exists():
+ return None
+ try:
+ data = json.loads(mode_path.read_text())
+ stored_hash = data.pop("_content_hash", None)
+ if stored_hash:
+ verify_data = dict(data)
+ verify_content = json.dumps(verify_data, indent=2, sort_keys=True)
+ actual_hash = hashlib.sha256(verify_content.encode()).hexdigest()[:16]
+ if actual_hash != stored_hash:
+ log.warning(
+ "ephemeral_mode_hash_mismatch",
+ mode=mode_name,
+ expected=stored_hash,
+ actual=actual_hash,
+ )
+ return Workflow.from_dict(data)
+ except Exception:
+ log.error("ephemeral_mode_load_failed", mode=mode_name, exc_info=True)
+ return None
+
+ def _remove_target_artifacts(self, mode_name: str) -> None:
+ """Remove mirrored artifacts from the target directory."""
+ if not self.has_target:
+ return
+ assert self._target_dir is not None
+ target_mode = self._target_dir / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ if target_mode.exists():
+ target_mode.unlink()
+ self._remove_workflow_wrapper(mode_name, base_dir=self._target_dir)
+
+ def cleanup_generation(self, survivors: set[str]) -> int:
+ """Delete non-surviving mode files. Returns count of removed modes."""
+ removed = 0
+ if not self._modes_dir.exists():
+ return 0
+
+ for mode_file in self._modes_dir.glob("evolve-gen*.json"):
+ mode_name = mode_file.stem
+ if mode_name not in survivors:
+ mode_file.unlink()
+ self._remove_workflow_wrapper(mode_name)
+ self._remove_target_artifacts(mode_name)
+ self._registered.pop(mode_name, None)
+ removed += 1
+
+ if removed:
+ log.info("ephemeral_modes_cleaned", removed=removed, survivors=len(survivors))
+ return removed
+
+ def cleanup_all(self, keep_best: str | None = None) -> int:
+ """Delete all ephemeral mode files except optionally the best one."""
+ removed = 0
+ if not self._modes_dir.exists():
+ return 0
+
+ for mode_file in self._modes_dir.glob("evolve-gen*.json"):
+ mode_name = mode_file.stem
+ if mode_name == keep_best:
+ continue
+ mode_file.unlink()
+ self._remove_workflow_wrapper(mode_name)
+ self._remove_target_artifacts(mode_name)
+ self._registered.pop(mode_name, None)
+ removed += 1
+
+ if removed:
+ log.info("ephemeral_modes_cleanup_all", removed=removed, kept=keep_best)
+ return removed
+
+ def promote(self, mode_name: str, permanent_name: str) -> Path | None:
+ """Copy an ephemeral mode to factory/workflow/contributed/ as a permanent mode."""
+ mode_path = self._modes_dir / f"{mode_name}.json"
+ if not mode_path.exists():
+ log.error("promote_source_missing", mode=mode_name)
+ return None
+
+ contrib_dir = self._project_dir / "factory" / "workflow" / "contributed" / permanent_name
+ contrib_dir.mkdir(parents=True, exist_ok=True)
+
+ data = json.loads(mode_path.read_text())
+ data.pop("_content_hash", None)
+ data["name"] = permanent_name
+
+ dest = contrib_dir / "workflow.json"
+ dest.write_text(json.dumps(data, indent=2, sort_keys=True))
+
+ log.info("ephemeral_mode_promoted", source=mode_name, dest=str(dest))
+ return dest
+
+ def prune_stale_modes(self, older_than_hours: int = 24) -> list[str]:
+ """Remove ephemeral modes older than the given threshold.
+
+ Returns list of pruned mode names.
+ """
+ if not self._modes_dir.exists():
+ return []
+
+ cutoff = time.time() - older_than_hours * 3600
+ pruned: list[str] = []
+
+ for mode_file in self._modes_dir.glob("evolve-gen*.json"):
+ if mode_file.stat().st_mtime < cutoff:
+ mode_name = mode_file.stem
+ mode_file.unlink()
+ self._remove_workflow_wrapper(mode_name)
+ self._remove_target_artifacts(mode_name)
+ self._registered.pop(mode_name, None)
+ pruned.append(mode_name)
+
+ if pruned:
+ log.info("stale_modes_pruned", count=len(pruned), threshold_hours=older_than_hours)
+ return pruned
+
+ def list_modes(self) -> list[str]:
+ """List all registered ephemeral mode names."""
+ if not self._modes_dir.exists():
+ return []
+ return sorted(f.stem for f in self._modes_dir.glob("evolve-gen*.json"))
+
+ @property
+ def count(self) -> int:
+ return len(self.list_modes())
diff --git a/factory/outer_loop/models.py b/factory/outer_loop/models.py
new file mode 100644
index 000000000..d0e9bac95
--- /dev/null
+++ b/factory/outer_loop/models.py
@@ -0,0 +1,197 @@
+"""Pydantic v2 strict models for the outer loop evolutionary search."""
+
+from __future__ import annotations
+
+from enum import Enum
+
+from pydantic import BaseModel, ConfigDict, Field, field_validator
+
+
+class MutationType(str, Enum):
+ """Types of graph mutation operators."""
+
+ NODE_INSERT = "node_insert"
+ NODE_REMOVE = "node_remove"
+ EDGE_REDIRECT = "edge_redirect"
+ PARALLELIZE = "parallelize"
+ SERIALIZE = "serialize"
+ PARAM_MUTATE = "param_mutate"
+ PROMPT_MUTATE = "prompt_mutate"
+
+
+class MutationRecord(BaseModel):
+ """Record of a single mutation applied to a workflow."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ operator: MutationType
+ target_node: str | None = None
+ before: dict[str, object] = Field(default_factory=dict)
+ after: dict[str, object] = Field(default_factory=dict)
+ rationale: str = ""
+
+ @field_validator("operator", mode="before")
+ @classmethod
+ def _coerce_operator(cls, v: object) -> MutationType:
+ if isinstance(v, str):
+ return MutationType(v)
+ return v # type: ignore[return-value]
+
+
+class Individual(BaseModel):
+ """A single candidate in the evolutionary population."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ id: str
+ workflow_data: dict[str, object]
+ score: float = 0.0
+ features: tuple[int, ...] = ()
+ generation: int = 0
+ parent_id: str | None = None
+ mutation_record: MutationRecord | None = None
+ cost_usd: float = 0.0
+
+ @field_validator("features", mode="before")
+ @classmethod
+ def _coerce_features(cls, v: object) -> tuple[int, ...]:
+ if isinstance(v, list):
+ return tuple(v)
+ return v # type: ignore[return-value]
+
+
+class HyperparameterRecord(BaseModel):
+ """Per-generation evolutionary hyperparameters for Level 3 training data."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ generation: int
+ mutation_rate: float
+ population_size: int
+ tournament_size: int
+ designer_ratio: float
+ operator_weights: dict[str, float] = Field(default_factory=dict)
+ best_score: float = 0.0
+ mean_score: float = 0.0
+ diversity: float = 0.0
+ novel_count: int = 0
+
+
+class SwarmConfig(BaseModel):
+ """Configuration for the evolutionary swarm search."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ benchmark: str
+ budget: int
+ population_size: int = 4
+ tournament_size: int = 3
+ mutation_rate: float = 0.3
+ target_score: float | None = None
+ frozen_node_ids: list[str] = Field(default_factory=list)
+ mandatory_node_roles: list[str] = Field(default_factory=list)
+ feature_axes: list[str] = Field(
+ default_factory=lambda: ["depth", "fork_degree", "agent_count", "gate_count"]
+ )
+ mutation_strategy: str = "weighted_random"
+ designer_count: int = 2
+ training_instances: list[str] = Field(default_factory=list)
+ holdout_instances: list[str] = Field(default_factory=list)
+ plateau_window: int = 3
+ plateau_threshold: float = 0.01
+ diversity_floor: float = 0.2
+ target_project: str = ""
+ test_command: str = ""
+ test_format: str = "pytest"
+ metric_path: str = "score"
+ seed_workflow: str = ""
+ instance_format: str = "directory"
+ prep_command: str = ""
+ early_stop_unchanged: int = 3
+
+ @field_validator("holdout_instances")
+ @classmethod
+ def _no_overlap_with_training(cls, v: list[str], info: object) -> list[str]:
+ data = getattr(info, "data", {})
+ training = data.get("training_instances", [])
+ overlap = set(v) & set(training)
+ if overlap:
+ raise ValueError(
+ f"holdout_instances must not overlap with training_instances: {overlap}"
+ )
+ return v
+
+
+class OuterLoopState(BaseModel):
+ """Checkpoint state for the outer loop evolution."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ generation: int = 0
+ total_evaluations: int = 0
+ best_score: float = 0.0
+ budget_remaining: int = 0
+ convergence_reason: str | None = None
+ score_trajectory: list[float] = Field(default_factory=list)
+ hyperparameter_history: list[HyperparameterRecord] = Field(default_factory=list)
+
+
+class GenerationSummary(BaseModel):
+ """Summary of a single generation of evolution."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ generation: int
+ population_size: int
+ best_score: float
+ mean_score: float
+ diversity: float
+ mutations_applied: list[MutationRecord] = Field(default_factory=list)
+ novel_count: int = 0
+ rejected_duplicates: int = 0
+ holdout_score: float = 0.0
+ hyperparameters: HyperparameterRecord | None = None
+
+
+class EvalResult(BaseModel):
+ """Result of evaluating a single workflow candidate."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ score: float
+ benchmark_score: float = 0.0
+ hygiene_score: float = 0.0
+ cost_usd: float = 0.0
+ complexity: float = 0.0
+ details: dict[str, object] = Field(default_factory=dict)
+
+
+class AuditResult(BaseModel):
+ """Result of overfit detection on the best evolved workflow."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ training_score: float
+ holdout_score: float
+ delta: float
+ overfit_flag: bool
+ details: str = ""
+
+
+class OuterLoopResult(BaseModel):
+ """Result of a complete outer loop evolutionary run."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ best_workflow_data: dict[str, object] = Field(default_factory=dict)
+ best_score: float = 0.0
+ holdout_score: float = 0.0
+ overfit_flag: bool = False
+ trajectory: list[GenerationSummary] = Field(default_factory=list)
+ total_cost_usd: float = 0.0
+ convergence_reason: str = ""
+ generations_completed: int = 0
+ total_evaluations: int = 0
+ archive_size: int = 0
+ pareto_front: list[Individual] = Field(default_factory=list)
+ hyperparameter_history: list[HyperparameterRecord] = Field(default_factory=list)
diff --git a/factory/outer_loop/mutations.py b/factory/outer_loop/mutations.py
new file mode 100644
index 000000000..ec226d9b5
--- /dev/null
+++ b/factory/outer_loop/mutations.py
@@ -0,0 +1,687 @@
+"""Structured graph mutation operators and strategy protocol for workflow evolution."""
+
+from __future__ import annotations
+
+import random
+from typing import TYPE_CHECKING, Protocol, runtime_checkable
+
+import networkx as nx
+import structlog
+
+from factory.outer_loop.models import MutationRecord, MutationType
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ ForkNode,
+ JoinNode,
+ NodeType,
+ Workflow,
+)
+
+if TYPE_CHECKING:
+ from factory.outer_loop.reflector import ReflectionReport
+
+log = structlog.get_logger()
+
+
+@runtime_checkable
+class MutationStrategy(Protocol):
+ """Protocol for pluggable mutation operator selection."""
+
+ def select_operator(
+ self, parent: Workflow, generation: int, archive_stats: dict[str, object]
+ ) -> MutationType: ...
+
+ def get_mutation_rate(self, generation: int) -> float: ...
+
+ def get_designer_ratio(self, generation: int) -> float: ...
+
+
+class WeightedRandomStrategy:
+ """Default mutation strategy: select operators by configurable weights."""
+
+ def __init__(
+ self,
+ weights: dict[str, float] | None = None,
+ mutation_rate: float = 0.3,
+ designer_ratio: float = 0.3,
+ ) -> None:
+ self.weights = weights or {
+ MutationType.NODE_INSERT.value: 0.18,
+ MutationType.NODE_REMOVE.value: 0.13,
+ MutationType.EDGE_REDIRECT.value: 0.18,
+ MutationType.PARALLELIZE.value: 0.13,
+ MutationType.SERIALIZE.value: 0.08,
+ MutationType.PARAM_MUTATE.value: 0.15,
+ MutationType.PROMPT_MUTATE.value: 0.15,
+ }
+ self._mutation_rate = mutation_rate
+ self._designer_ratio = designer_ratio
+
+ def select_operator(
+ self, parent: Workflow, generation: int, archive_stats: dict[str, object]
+ ) -> MutationType:
+ types = list(MutationType)
+ w = [self.weights.get(t.value, 0.1) for t in types]
+ return random.choices(types, weights=w, k=1)[0]
+
+ def select_guided_operator(
+ self,
+ parent: Workflow,
+ generation: int,
+ reflection: ReflectionReport,
+ ) -> MutationType:
+ """Select an operator guided by reflection suggestions."""
+ op_counts: dict[MutationType, int] = {}
+ for suggestion in reflection.mutation_suggestions + reflection.structural_recommendations:
+ upper = suggestion.upper()
+ if "NODE_INSERT" in upper:
+ op_counts[MutationType.NODE_INSERT] = op_counts.get(MutationType.NODE_INSERT, 0) + 1
+ elif "NODE_REMOVE" in upper:
+ op_counts[MutationType.NODE_REMOVE] = op_counts.get(MutationType.NODE_REMOVE, 0) + 1
+ elif "PARALLELIZE" in upper:
+ op_counts[MutationType.PARALLELIZE] = op_counts.get(MutationType.PARALLELIZE, 0) + 1
+ elif "PARAM_MUTATE" in upper:
+ op_counts[MutationType.PARAM_MUTATE] = op_counts.get(MutationType.PARAM_MUTATE, 0) + 1
+ elif "PROMPT_MUTATE" in upper:
+ op_counts[MutationType.PROMPT_MUTATE] = op_counts.get(MutationType.PROMPT_MUTATE, 0) + 1
+
+ if not op_counts:
+ return self.select_operator(parent, generation, {})
+
+ types = list(op_counts.keys())
+ weights = [float(op_counts[t]) for t in types]
+ return random.choices(types, weights=weights, k=1)[0]
+
+ def get_mutation_rate(self, generation: int) -> float:
+ return self._mutation_rate
+
+ def get_designer_ratio(self, generation: int) -> float:
+ return self._designer_ratio
+
+ def get_operator_weights(self) -> dict[str, float]:
+ return dict(self.weights)
+
+ def on_plateau(self) -> None:
+ """Increase mutation rate when evolution stalls."""
+ self._mutation_rate = min(self._mutation_rate + 0.2, 0.8)
+
+ def on_improvement(self) -> None:
+ """Reset mutation rate after improvement."""
+ self._mutation_rate = 0.3
+
+
+def validate_and_repair(workflow: Workflow) -> Workflow | None:
+ """Validate a mutated workflow and attempt repair. Returns None if irreparable."""
+ g: nx.DiGraph[str] = nx.DiGraph()
+ for nid in workflow.nodes:
+ g.add_node(nid)
+ for edge in workflow.edges:
+ if edge.source in workflow.nodes and edge.target in workflow.nodes:
+ g.add_edge(edge.source, edge.target)
+
+ if workflow.start_node not in workflow.nodes:
+ return None
+
+ # Prune unreachable nodes
+ reachable = nx.descendants(g, workflow.start_node) | {workflow.start_node}
+ unreachable = set(workflow.nodes.keys()) - reachable
+ for nid in unreachable:
+ del workflow.nodes[nid]
+ workflow.edges = [
+ e for e in workflow.edges
+ if e.source in workflow.nodes and e.target in workflow.nodes
+ ]
+
+ # Rebuild graph and check for cycles without gate conditions
+ g2: nx.DiGraph[str] = nx.DiGraph()
+ for nid in workflow.nodes:
+ g2.add_node(nid)
+ for edge in workflow.edges:
+ g2.add_edge(edge.source, edge.target)
+
+ for cycle in nx.simple_cycles(g2):
+ has_gated_edge = False
+ for i in range(len(cycle)):
+ src = cycle[i]
+ tgt = cycle[(i + 1) % len(cycle)]
+ if type(workflow.nodes.get(src)).__name__ == "GateNode":
+ for e in workflow.edges:
+ if e.source == src and e.target == tgt and e.condition is not None:
+ has_gated_edge = True
+ break
+ if has_gated_edge:
+ break
+ if not has_gated_edge:
+ return None
+
+ # Verify reads/writes chain
+ for nid, node in workflow.nodes.items():
+ if node.reads:
+ ancestors = nx.ancestors(g2, nid) if nid in g2 else set()
+ available_writes: set[str] = set()
+ for anc in ancestors:
+ anc_node = workflow.nodes.get(anc)
+ if anc_node:
+ available_writes |= anc_node.writes
+ broken_reads = node.reads - available_writes
+ if broken_reads:
+ node_copy = node.model_copy(update={"reads": node.reads - broken_reads})
+ workflow.nodes[nid] = node_copy # type: ignore[assignment]
+
+ return workflow
+
+
+def _is_frozen(node_id: str, frozen_nodes: set[str]) -> bool:
+ return node_id in frozen_nodes
+
+
+def _deep_copy_workflow(workflow: Workflow) -> Workflow:
+ """Deep copy a workflow for mutation."""
+ nodes: dict[str, NodeType] = {}
+ for nid, node in workflow.nodes.items():
+ nodes[nid] = node.model_copy(deep=True)
+ edges = [e.model_copy(deep=True) for e in workflow.edges]
+ return Workflow(
+ name=workflow.name,
+ nodes=nodes,
+ edges=edges,
+ start_node=workflow.start_node,
+ terminal=workflow.terminal,
+ )
+
+
+def insert_node(
+ workflow: Workflow,
+ new_node: NodeType,
+ after_node_id: str,
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Insert a new node after an existing node, reconnecting edges."""
+ frozen = frozen_nodes or set()
+ if _is_frozen(after_node_id, frozen):
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ if after_node_id not in wf.nodes:
+ return None
+
+ wf.nodes[new_node.id] = new_node
+
+ outgoing = [e for e in wf.edges if e.source == after_node_id]
+ if not outgoing:
+ wf.edges.append(Edge(source=after_node_id, target=new_node.id))
+ else:
+ first_edge = outgoing[0]
+ old_target = first_edge.target
+ wf.edges = [e for e in wf.edges if not (e.source == after_node_id and e.target == old_target and e.condition is None)]
+ wf.edges.append(Edge(source=after_node_id, target=new_node.id))
+ wf.edges.append(Edge(source=new_node.id, target=old_target))
+
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.NODE_INSERT,
+ target_node=new_node.id,
+ before={},
+ after={"inserted_after": after_node_id},
+ rationale=f"Inserted {new_node.id} after {after_node_id}",
+ )
+ return result, record
+
+
+def remove_node(
+ workflow: Workflow,
+ node_id: str,
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Remove a node and short-circuit its edges."""
+ frozen = frozen_nodes or set()
+ if _is_frozen(node_id, frozen):
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ if node_id not in wf.nodes or node_id == wf.start_node:
+ return None
+
+ incoming_sources = [e.source for e in wf.edges if e.target == node_id]
+ outgoing_targets = [e.target for e in wf.edges if e.source == node_id]
+
+ wf.edges = [e for e in wf.edges if e.source != node_id and e.target != node_id]
+
+ for src in incoming_sources:
+ for tgt in outgoing_targets:
+ if not any(e.source == src and e.target == tgt for e in wf.edges):
+ wf.edges.append(Edge(source=src, target=tgt))
+
+ del wf.nodes[node_id]
+
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.NODE_REMOVE,
+ target_node=node_id,
+ before={"node_existed": True},
+ after={"short_circuited": True},
+ rationale=f"Removed {node_id}, short-circuited edges",
+ )
+ return result, record
+
+
+def redirect_edge(
+ workflow: Workflow,
+ source_id: str,
+ old_target_id: str,
+ new_target_id: str,
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Redirect an edge from old_target to new_target."""
+ frozen = frozen_nodes or set()
+ if _is_frozen(source_id, frozen):
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ if new_target_id not in wf.nodes:
+ return None
+
+ found = False
+ new_edges: list[Edge] = []
+ for e in wf.edges:
+ if e.source == source_id and e.target == old_target_id and not found:
+ new_edges.append(Edge(source=source_id, target=new_target_id, condition=e.condition))
+ found = True
+ else:
+ new_edges.append(e)
+
+ if not found:
+ return None
+
+ wf.edges = new_edges
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.EDGE_REDIRECT,
+ target_node=source_id,
+ before={"target": old_target_id},
+ after={"target": new_target_id},
+ rationale=f"Redirected edge from {source_id}: {old_target_id} → {new_target_id}",
+ )
+ return result, record
+
+
+def parallelize(
+ workflow: Workflow,
+ node_ids: list[str],
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Convert sequential nodes to parallel execution via ForkNode + JoinNode."""
+ frozen = frozen_nodes or set()
+ if any(_is_frozen(nid, frozen) for nid in node_ids):
+ return None
+ if len(node_ids) < 2:
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ for nid in node_ids:
+ if nid not in wf.nodes:
+ return None
+
+ fork_id = f"fork_{'_'.join(node_ids[:2])}"
+ join_id = f"join_{'_'.join(node_ids[:2])}"
+
+ first_node = node_ids[0]
+ last_node = node_ids[-1]
+
+ predecessors = {e.source for e in wf.edges if e.target == first_node}
+ successors = {e.target for e in wf.edges if e.source == last_node}
+
+ for nid in node_ids:
+ wf.edges = [e for e in wf.edges if e.source != nid and e.target != nid]
+
+ wf.nodes[fork_id] = ForkNode(id=fork_id, targets=node_ids)
+ wf.nodes[join_id] = JoinNode(id=join_id, sources=node_ids)
+
+ for pred in predecessors:
+ wf.edges.append(Edge(source=pred, target=fork_id))
+
+ for nid in node_ids:
+ wf.edges.append(Edge(source=fork_id, target=nid))
+ wf.edges.append(Edge(source=nid, target=join_id))
+
+ for succ in successors:
+ wf.edges.append(Edge(source=join_id, target=succ))
+
+ if wf.start_node == first_node:
+ wf.start_node = fork_id
+
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.PARALLELIZE,
+ target_node=fork_id,
+ before={"sequential": node_ids},
+ after={"parallel": node_ids},
+ rationale=f"Parallelized {node_ids}",
+ )
+ return result, record
+
+
+def serialize(
+ workflow: Workflow,
+ fork_id: str,
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Collapse a fork/join pair back into sequential execution."""
+ frozen = frozen_nodes or set()
+ if _is_frozen(fork_id, frozen):
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ fork_node = wf.nodes.get(fork_id)
+ if fork_node is None or type(fork_node).__name__ != "ForkNode":
+ return None
+
+ targets = fork_node.targets # type: ignore[union-attr]
+
+ join_id: str | None = None
+ for nid, node in wf.nodes.items():
+ if type(node).__name__ == "JoinNode":
+ sources = node.sources # type: ignore[union-attr]
+ if set(sources) == set(targets):
+ join_id = nid
+ break
+
+ if join_id is None:
+ return None
+
+ predecessors = {e.source for e in wf.edges if e.target == fork_id}
+ successors = {e.target for e in wf.edges if e.source == join_id}
+
+ wf.edges = [
+ e for e in wf.edges
+ if e.source != fork_id and e.target != fork_id
+ and e.source != join_id and e.target != join_id
+ and not (e.source in targets and e.target == join_id)
+ ]
+
+ del wf.nodes[fork_id]
+ del wf.nodes[join_id]
+
+ chain = list(targets)
+ for pred in predecessors:
+ wf.edges.append(Edge(source=pred, target=chain[0]))
+
+ for i in range(len(chain) - 1):
+ wf.edges.append(Edge(source=chain[i], target=chain[i + 1]))
+
+ for succ in successors:
+ wf.edges.append(Edge(source=chain[-1], target=succ))
+
+ if wf.start_node == fork_id:
+ wf.start_node = chain[0]
+
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.SERIALIZE,
+ target_node=fork_id,
+ before={"parallel": list(targets)},
+ after={"sequential": chain},
+ rationale=f"Serialized fork {fork_id}",
+ )
+ return result, record
+
+
+def mutate_params(
+ workflow: Workflow,
+ node_id: str,
+ changes: dict[str, object],
+ *,
+ frozen_nodes: set[str] | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Change parameters on a node (timeout, model, max_iterations)."""
+ frozen = frozen_nodes or set()
+ if _is_frozen(node_id, frozen):
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ node = wf.nodes.get(node_id)
+ if node is None:
+ return None
+
+ allowed_params = {"timeout", "model", "max_iterations", "blocking"}
+ filtered_changes = {k: v for k, v in changes.items() if k in allowed_params}
+ if not filtered_changes:
+ return None
+
+ before: dict[str, object] = {}
+ for k in filtered_changes:
+ if hasattr(node, k):
+ before[k] = getattr(node, k)
+
+ try:
+ updated_node = node.model_copy(update=filtered_changes)
+ wf.nodes[node_id] = updated_node # type: ignore[assignment]
+ except Exception:
+ return None
+
+ result = validate_and_repair(wf)
+ if result is None:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.PARAM_MUTATE,
+ target_node=node_id,
+ before=before,
+ after=dict(filtered_changes),
+ rationale=f"Changed params on {node_id}: {filtered_changes}",
+ )
+ return result, record
+
+
+_PROMPT_VARIANTS = [
+ "Think step by step. Analyze the problem carefully before proposing changes.",
+ "Focus on the failing tests. Read error messages, trace root causes, fix precisely.",
+ "Prioritize minimal changes. Change only what is necessary to solve the problem.",
+ "Start by reading all relevant files. Map dependencies before editing anything.",
+ "Write tests first, then implement. Verify each change passes tests before moving on.",
+ "Look for existing patterns in the codebase and follow them consistently.",
+ "Check edge cases explicitly. Validate inputs and handle error paths.",
+ "Consider performance implications. Avoid O(n^2) patterns when O(n) alternatives exist.",
+]
+
+MAX_NODES = 30
+
+
+def mutate_prompt(
+ workflow: Workflow,
+ node_id: str,
+ *,
+ frozen_nodes: set[str] | None = None,
+ prompt_hint: str | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Mutate the prompt_template of an AgentNode."""
+ frozen = frozen_nodes or set()
+ if node_id in frozen:
+ return None
+
+ wf = _deep_copy_workflow(workflow)
+ node = wf.nodes.get(node_id)
+ if node is None or not isinstance(node, AgentNode):
+ return None
+
+ old_prompt = node.prompt_template or ""
+ if prompt_hint:
+ new_prompt = f"{old_prompt}\n\n{prompt_hint}" if old_prompt else prompt_hint
+ else:
+ variant = random.choice(_PROMPT_VARIANTS)
+ new_prompt = f"{old_prompt}\n\n{variant}" if old_prompt else variant
+
+ try:
+ updated = node.model_copy(update={"prompt_template": new_prompt})
+ wf.nodes[node_id] = updated # type: ignore[assignment]
+ except Exception:
+ return None
+
+ record = MutationRecord(
+ operator=MutationType.PROMPT_MUTATE,
+ target_node=node_id,
+ before={"prompt": old_prompt[:100]},
+ after={"prompt": new_prompt[:100]},
+ rationale=f"Mutated prompt on {node_id}",
+ )
+ return wf, record
+
+
+def apply_random_mutation(
+ workflow: Workflow,
+ strategy: MutationStrategy,
+ generation: int,
+ *,
+ frozen_nodes: set[str] | None = None,
+ archive_stats: dict[str, object] | None = None,
+ reflection_report: ReflectionReport | None = None,
+ max_attempts: int = 10,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Apply a mutation using the given strategy. Retries on failure.
+
+ When reflection_report is provided, guided mutations are attempted first
+ (70% of the time), falling back to random mutations.
+ """
+ frozen = frozen_nodes or set()
+ stats = archive_stats or {}
+ use_guided = (
+ reflection_report is not None
+ and hasattr(strategy, "select_guided_operator")
+ and (reflection_report.mutation_suggestions or reflection_report.structural_recommendations)
+ )
+
+ for attempt in range(max_attempts):
+ if use_guided and random.random() < 0.7:
+ op = strategy.select_guided_operator( # type: ignore[attr-defined]
+ workflow, generation, reflection_report,
+ )
+ else:
+ op = strategy.select_operator(workflow, generation, stats)
+
+ if op == MutationType.NODE_INSERT and len(workflow.nodes) >= MAX_NODES:
+ op = MutationType.PARAM_MUTATE
+
+ prompt_hint = _extract_prompt_hint(reflection_report) if reflection_report else None
+ result = _try_mutation(workflow, op, frozen, prompt_hint=prompt_hint)
+ if result is not None:
+ wf, rec = result
+ if len(wf.nodes) > MAX_NODES:
+ continue
+ return result
+
+ return None
+
+
+def _extract_prompt_hint(report: ReflectionReport) -> str | None:
+ """Extract a prompt improvement hint from a ReflectionReport."""
+ if report.prompt_improvements:
+ return random.choice(report.prompt_improvements)
+ if report.success_patterns:
+ return random.choice(report.success_patterns)
+ return None
+
+
+def _try_mutation(
+ workflow: Workflow,
+ op: MutationType,
+ frozen: set[str],
+ *,
+ prompt_hint: str | None = None,
+) -> tuple[Workflow, MutationRecord] | None:
+ """Attempt a single mutation of the given type."""
+ mutable_nodes = [
+ nid for nid in workflow.nodes if nid not in frozen and nid != workflow.start_node
+ ]
+ if not mutable_nodes and op not in (MutationType.NODE_INSERT,):
+ return None
+
+ if op == MutationType.NODE_INSERT:
+ target = random.choice(list(workflow.nodes.keys()))
+ new_id = f"agent_{random.randint(100, 999)}"
+ roles = list(AgentRole)
+ new_node = AgentNode(
+ id=new_id,
+ role=random.choice(roles),
+ )
+ return insert_node(workflow, new_node, target, frozen_nodes=frozen)
+
+ elif op == MutationType.NODE_REMOVE:
+ target = random.choice(mutable_nodes)
+ return remove_node(workflow, target, frozen_nodes=frozen)
+
+ elif op == MutationType.EDGE_REDIRECT:
+ edges_from_mutable = [
+ e for e in workflow.edges if e.source not in frozen
+ ]
+ if not edges_from_mutable:
+ return None
+ edge = random.choice(edges_from_mutable)
+ possible_targets = [nid for nid in workflow.nodes if nid != edge.target]
+ if not possible_targets:
+ return None
+ new_target = random.choice(possible_targets)
+ return redirect_edge(workflow, edge.source, edge.target, new_target, frozen_nodes=frozen)
+
+ elif op == MutationType.PARALLELIZE:
+ if len(mutable_nodes) < 2:
+ return None
+ pair = random.sample(mutable_nodes, 2)
+ return parallelize(workflow, pair, frozen_nodes=frozen)
+
+ elif op == MutationType.SERIALIZE:
+ fork_ids = [
+ nid for nid, n in workflow.nodes.items()
+ if type(n).__name__ == "ForkNode" and nid not in frozen
+ ]
+ if not fork_ids:
+ return None
+ return serialize(workflow, random.choice(fork_ids), frozen_nodes=frozen)
+
+ elif op == MutationType.PARAM_MUTATE:
+ agent_nodes = [
+ nid for nid in mutable_nodes
+ if type(workflow.nodes[nid]).__name__ == "AgentNode"
+ ]
+ if not agent_nodes:
+ return None
+ target = random.choice(agent_nodes)
+ param = random.choice(["timeout", "model"])
+ if param == "timeout":
+ changes: dict[str, object] = {"timeout": random.choice([300, 600, 900, 1200, 1800])}
+ else:
+ changes = {"model": random.choice(["sonnet", "opus", "haiku"])}
+ return mutate_params(workflow, target, changes, frozen_nodes=frozen)
+
+ elif op == MutationType.PROMPT_MUTATE:
+ agent_nodes = [
+ nid for nid in mutable_nodes
+ if isinstance(workflow.nodes[nid], AgentNode)
+ ]
+ if not agent_nodes:
+ return None
+ target = random.choice(agent_nodes)
+ return mutate_prompt(workflow, target, frozen_nodes=frozen, prompt_hint=prompt_hint)
+
+ return None
diff --git a/factory/outer_loop/overfit.py b/factory/outer_loop/overfit.py
new file mode 100644
index 000000000..61f12cbbb
--- /dev/null
+++ b/factory/outer_loop/overfit.py
@@ -0,0 +1,78 @@
+"""Overfit / cheating detection for evolved workflows."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import structlog
+
+from factory.outer_loop.models import AuditResult
+
+if TYPE_CHECKING:
+ from factory.outer_loop.evaluator import SwarmEvaluator
+ from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+OVERFIT_THRESHOLD = 0.15
+
+
+class OverfitDetector:
+ """Detects overfitting by comparing training vs holdout scores."""
+
+ def __init__(self, threshold: float = OVERFIT_THRESHOLD) -> None:
+ self._threshold = threshold
+
+ def audit(
+ self,
+ best_workflow: Workflow,
+ training_instances: list[str],
+ holdout_instances: list[str],
+ evaluator: SwarmEvaluator,
+ project_dir: str = "",
+ ) -> AuditResult:
+ """Run the best workflow on both training and holdout instances.
+
+ Flags overfit if (training - holdout) / training > threshold.
+ """
+ train_result = evaluator.evaluate(best_workflow, project_dir, training_instances)
+ holdout_result = evaluator.evaluate(best_workflow, project_dir, holdout_instances)
+
+ training_score = train_result.score
+ holdout_score = holdout_result.score
+
+ if training_score > 0:
+ delta = (training_score - holdout_score) / training_score
+ else:
+ delta = 0.0
+
+ overfit_flag = delta > self._threshold
+
+ if overfit_flag:
+ log.warning(
+ "overfit_detected",
+ training_score=training_score,
+ holdout_score=holdout_score,
+ delta=delta,
+ threshold=self._threshold,
+ )
+ else:
+ log.info(
+ "overfit_audit_passed",
+ training_score=training_score,
+ holdout_score=holdout_score,
+ delta=delta,
+ )
+
+ details = (
+ f"training={training_score:.4f} holdout={holdout_score:.4f} "
+ f"delta={delta:.4f} threshold={self._threshold}"
+ )
+
+ return AuditResult(
+ training_score=training_score,
+ holdout_score=holdout_score,
+ delta=delta,
+ overfit_flag=overfit_flag,
+ details=details,
+ )
diff --git a/factory/outer_loop/population.py b/factory/outer_loop/population.py
new file mode 100644
index 000000000..cb9b3c03e
--- /dev/null
+++ b/factory/outer_loop/population.py
@@ -0,0 +1,203 @@
+"""Population management and MAP-Elites archive for evolutionary search."""
+
+from __future__ import annotations
+
+import json
+import uuid
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import structlog
+
+from factory.outer_loop.models import Individual
+from factory.outer_loop.similarity import compute_features
+
+if TYPE_CHECKING:
+ from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+class Population:
+ """Manages a collection of Individual candidates."""
+
+ def __init__(self) -> None:
+ self._individuals: dict[str, Individual] = {}
+
+ @property
+ def size(self) -> int:
+ return len(self._individuals)
+
+ @property
+ def individuals(self) -> list[Individual]:
+ return list(self._individuals.values())
+
+ def add(self, individual: Individual) -> None:
+ self._individuals[individual.id] = individual
+
+ def remove(self, individual_id: str) -> Individual | None:
+ return self._individuals.pop(individual_id, None)
+
+ def get(self, individual_id: str) -> Individual | None:
+ return self._individuals.get(individual_id)
+
+ def best(self) -> Individual | None:
+ if not self._individuals:
+ return None
+ return max(self._individuals.values(), key=lambda i: i.score)
+
+ def mean_score(self) -> float:
+ if not self._individuals:
+ return 0.0
+ return sum(i.score for i in self._individuals.values()) / len(self._individuals)
+
+ @staticmethod
+ def make_individual(
+ workflow: Workflow,
+ *,
+ generation: int = 0,
+ parent_id: str | None = None,
+ mutation_record: object = None,
+ score: float = 0.0,
+ cost_usd: float = 0.0,
+ ) -> Individual:
+ """Create an Individual from a Workflow, computing features automatically."""
+ from factory.outer_loop.models import MutationRecord
+
+ features = compute_features(workflow)
+ return Individual(
+ id=uuid.uuid4().hex[:12],
+ workflow_data=workflow.to_dict(),
+ score=score,
+ features=features,
+ generation=generation,
+ parent_id=parent_id,
+ mutation_record=mutation_record if isinstance(mutation_record, MutationRecord) else None,
+ cost_usd=cost_usd,
+ )
+
+ def save(self, directory: Path) -> None:
+ """Serialize the population to a directory."""
+ directory.mkdir(parents=True, exist_ok=True)
+ data = [ind.model_dump(mode="json") for ind in self._individuals.values()]
+ (directory / "population.json").write_text(json.dumps(data, indent=2))
+
+ @classmethod
+ def load(cls, directory: Path) -> Population:
+ """Deserialize a population from a directory."""
+ pop = cls()
+ path = directory / "population.json"
+ if path.exists():
+ data = json.loads(path.read_text())
+ for item in data:
+ pop.add(Individual.model_validate(item))
+ return pop
+
+
+class MAPElitesArchive:
+ """4D fixed-resolution grid archive for quality-diversity search.
+
+ Axes: (depth, fork_degree, agent_count, gate_count).
+ Each cell stores the best-scoring Individual for that feature combination.
+ """
+
+ def __init__(self) -> None:
+ self._grid: dict[tuple[int, ...], Individual] = {}
+
+ @property
+ def size(self) -> int:
+ return len(self._grid)
+
+ def add(self, individual: Individual) -> bool:
+ """Add an individual to the archive. Returns True if it was inserted or replaced."""
+ key = individual.features
+ existing = self._grid.get(key)
+ if existing is None or individual.score > existing.score:
+ self._grid[key] = individual
+ return True
+ return False
+
+ def best(self) -> Individual | None:
+ if not self._grid:
+ return None
+ return max(self._grid.values(), key=lambda i: i.score)
+
+ def all_individuals(self) -> list[Individual]:
+ return list(self._grid.values())
+
+ def sample_parent(self, tournament_size: int = 3) -> Individual | None:
+ """Tournament selection: pick tournament_size random individuals, return the best."""
+ import random
+
+ individuals = list(self._grid.values())
+ if not individuals:
+ return None
+ k = min(tournament_size, len(individuals))
+ tournament = random.sample(individuals, k)
+ return max(tournament, key=lambda i: i.score)
+
+ def pareto_front(self) -> list[Individual]:
+ """Return the Pareto-optimal individuals (non-dominated on score + features).
+
+ An individual is dominated if another has >= score and dominates on
+ all feature axes (higher is better for diversity purposes).
+ """
+ individuals = list(self._grid.values())
+ if len(individuals) <= 1:
+ return list(individuals)
+
+ front: list[Individual] = []
+ for candidate in individuals:
+ dominated = False
+ for other in individuals:
+ if other is candidate:
+ continue
+ if other.score >= candidate.score and all(
+ o >= c for o, c in zip(other.features, candidate.features)
+ ) and (
+ other.score > candidate.score
+ or any(o > c for o, c in zip(other.features, candidate.features))
+ ):
+ dominated = True
+ break
+ if not dominated:
+ front.append(candidate)
+ return front
+
+ def diversity_metric(self) -> float:
+ """Fraction of occupied cells relative to a reasonable grid size estimate.
+
+ Returns 0.0 for empty archive, approaches 1.0 as more cells are filled.
+ """
+ if not self._grid:
+ return 0.0
+ unique_per_axis: list[set[int]] = [set() for _ in range(4)]
+ for key in self._grid:
+ for i, v in enumerate(key):
+ if i < 4:
+ unique_per_axis[i].add(v)
+ total_possible = 1
+ for s in unique_per_axis:
+ total_possible *= max(len(s), 1)
+ return len(self._grid) / max(total_possible, 1)
+
+ def save(self, directory: Path) -> None:
+ """Serialize the archive to a directory."""
+ directory.mkdir(parents=True, exist_ok=True)
+ data: dict[str, object] = {}
+ for key, ind in self._grid.items():
+ str_key = ",".join(str(k) for k in key)
+ data[str_key] = ind.model_dump(mode="json")
+ (directory / "grid.json").write_text(json.dumps(data, indent=2))
+
+ @classmethod
+ def load(cls, directory: Path) -> MAPElitesArchive:
+ """Deserialize an archive from a directory."""
+ archive = cls()
+ path = directory / "grid.json"
+ if path.exists():
+ data = json.loads(path.read_text())
+ for str_key, ind_data in data.items():
+ ind = Individual.model_validate(ind_data)
+ archive._grid[ind.features] = ind
+ return archive
diff --git a/factory/outer_loop/prompts/reflect.md b/factory/outer_loop/prompts/reflect.md
new file mode 100644
index 000000000..70703d591
--- /dev/null
+++ b/factory/outer_loop/prompts/reflect.md
@@ -0,0 +1,35 @@
+# Contrastive Reflection Prompt
+
+## Context
+
+You are analyzing generation {generation} of an evolutionary workflow search.
+The search is optimizing workflow DAGs against benchmarks.
+
+## Top-K Performers (Winners)
+
+{top_k_data}
+
+## Bottom-K Performers (Losers)
+
+{bottom_k_data}
+
+## Task
+
+Compare the winners and losers. Identify:
+
+1. **Failure patterns**: What went wrong in the losers? Which agents failed? What errors occurred?
+2. **Success patterns**: What did the winners do right? Which agent sequences led to success?
+3. **Structural differences**: How do the DAG topologies differ between winners and losers?
+4. **Mutation suggestions**: What specific changes (add/remove nodes, redirect edges, change params) would improve the losers?
+
+## Output Format
+
+```json
+{
+ "failure_patterns": ["..."],
+ "success_patterns": ["..."],
+ "mutation_suggestions": ["NODE_INSERT: ...", "PARAM_MUTATE: ..."],
+ "prompt_improvements": ["..."],
+ "structural_recommendations": ["..."]
+}
+```
diff --git a/factory/outer_loop/reflector.py b/factory/outer_loop/reflector.py
new file mode 100644
index 000000000..fe0087634
--- /dev/null
+++ b/factory/outer_loop/reflector.py
@@ -0,0 +1,258 @@
+"""Contrastive reflection engine for outer loop evolution.
+
+Analyzes CycleRecord exhaust from winners vs losers to identify structural
+differences that explain performance gaps. Produces a ReflectionReport with
+failure patterns, success patterns, and informed mutation suggestions.
+"""
+
+from __future__ import annotations
+
+import json
+from collections.abc import Sequence
+from dataclasses import dataclass, field
+from pathlib import Path
+
+import structlog
+
+from factory.cycle_analyzer import CycleRecord
+
+log = structlog.get_logger()
+
+
+@dataclass
+class ReflectionReport:
+ """Output of contrastive reflection analysis."""
+
+ failure_patterns: list[str] = field(default_factory=list)
+ success_patterns: list[str] = field(default_factory=list)
+ mutation_suggestions: list[str] = field(default_factory=list)
+ prompt_improvements: list[str] = field(default_factory=list)
+ structural_recommendations: list[str] = field(default_factory=list)
+ top_k_ids: list[str] = field(default_factory=list)
+ bottom_k_ids: list[str] = field(default_factory=list)
+
+
+class OuterLoopReflector:
+ """Two-stage contrastive reflection on CycleRecord exhaust.
+
+ Stage 1: Partition individuals into top-K and bottom-K by fitness.
+ Stage 2: Compare their CycleRecords to identify causal structural differences.
+ """
+
+ def __init__(self, k: int = 2, project_dir: Path | None = None) -> None:
+ self._k = k
+ self._project_dir = project_dir
+
+ def reflect(
+ self,
+ records: list[tuple[str, float, CycleRecord | None]],
+ generation: int = 0,
+ ) -> ReflectionReport:
+ """Analyze a generation's results via contrastive reflection.
+
+ Args:
+ records: list of (individual_id, fitness, CycleRecord|None) triples
+ generation: current generation number
+
+ Returns:
+ ReflectionReport with patterns and suggestions
+ """
+ valid = [(id_, score, rec) for id_, score, rec in records if rec is not None]
+ if len(valid) < 2:
+ log.warning("reflection_insufficient_data", count=len(valid))
+ return ReflectionReport()
+
+ valid.sort(key=lambda x: x[1], reverse=True)
+
+ k = min(self._k, len(valid) // 2)
+ if k < 1:
+ k = 1
+
+ top_k = valid[:k]
+ bottom_k = valid[-k:]
+
+ report = ReflectionReport(
+ top_k_ids=[id_ for id_, _, _ in top_k],
+ bottom_k_ids=[id_ for id_, _, _ in bottom_k],
+ )
+
+ self._extract_failure_patterns(bottom_k, report)
+ self._extract_success_patterns(top_k, report)
+ self._generate_mutation_suggestions(top_k, bottom_k, report)
+ self._generate_structural_recommendations(top_k, bottom_k, report)
+
+ if self._project_dir:
+ self._save_report(report, generation)
+
+ log.info(
+ "reflection_complete",
+ generation=generation,
+ failures=len(report.failure_patterns),
+ successes=len(report.success_patterns),
+ suggestions=len(report.mutation_suggestions),
+ )
+ return report
+
+ def _extract_failure_patterns(
+ self,
+ bottom_k: Sequence[tuple[str, float, CycleRecord | None]],
+ report: ReflectionReport,
+ ) -> None:
+ for id_, score, rec in bottom_k:
+ if rec is None:
+ continue
+ for step in rec.steps:
+ if not step.succeeded:
+ report.failure_patterns.append(
+ f"Agent {step.role} failed in individual {id_[:8]} "
+ f"(score={score:.3f}): {step.error or 'unknown error'}"
+ )
+ if rec.errored and rec.errored > 0:
+ report.failure_patterns.append(
+ f"Individual {id_[:8]} had {rec.errored} errored experiments"
+ )
+ if rec.reverted > rec.kept:
+ report.failure_patterns.append(
+ f"Individual {id_[:8]} had more reverts ({rec.reverted}) than keeps ({rec.kept})"
+ )
+
+ def _extract_success_patterns(
+ self,
+ top_k: Sequence[tuple[str, float, CycleRecord | None]],
+ report: ReflectionReport,
+ ) -> None:
+ for id_, score, rec in top_k:
+ if rec is None:
+ continue
+ successful_roles = [s.role for s in rec.steps if s.succeeded]
+ if successful_roles:
+ report.success_patterns.append(
+ f"Individual {id_[:8]} (score={score:.3f}) succeeded with "
+ f"agents: {', '.join(successful_roles)}"
+ )
+ if rec.kept > 0:
+ report.success_patterns.append(
+ f"Individual {id_[:8]} kept {rec.kept} experiments"
+ )
+
+ def _generate_mutation_suggestions(
+ self,
+ top_k: Sequence[tuple[str, float, CycleRecord | None]],
+ bottom_k: Sequence[tuple[str, float, CycleRecord | None]],
+ report: ReflectionReport,
+ ) -> None:
+ top_roles: set[str] = set()
+ bottom_roles: set[str] = set()
+
+ for _, _, rec in top_k:
+ if rec:
+ top_roles |= {s.role for s in rec.steps if s.succeeded}
+ for _, _, rec in bottom_k:
+ if rec:
+ bottom_roles |= {s.role for s in rec.steps if s.succeeded}
+
+ roles_in_top_not_bottom = top_roles - bottom_roles
+ for role in roles_in_top_not_bottom:
+ report.mutation_suggestions.append(
+ f"NODE_INSERT: Add {role} agent — present in winners but not losers"
+ )
+
+ roles_in_bottom_not_top = bottom_roles - top_roles
+ for role in roles_in_bottom_not_top:
+ report.mutation_suggestions.append(
+ f"NODE_REMOVE: Consider removing {role} — present in losers but not winners"
+ )
+
+ top_avg_steps = 0.0
+ bottom_avg_steps = 0.0
+ top_count = sum(1 for _, _, r in top_k if r)
+ bottom_count = sum(1 for _, _, r in bottom_k if r)
+
+ if top_count:
+ top_avg_steps = sum(len(r.steps) for _, _, r in top_k if r) / top_count
+ if bottom_count:
+ bottom_avg_steps = sum(len(r.steps) for _, _, r in bottom_k if r) / bottom_count
+
+ if top_avg_steps > bottom_avg_steps + 1:
+ report.mutation_suggestions.append(
+ f"NODE_INSERT: Winners use more agents ({top_avg_steps:.1f} avg) "
+ f"vs losers ({bottom_avg_steps:.1f} avg) — consider adding nodes"
+ )
+ elif bottom_avg_steps > top_avg_steps + 1:
+ report.mutation_suggestions.append(
+ f"NODE_REMOVE: Losers use more agents ({bottom_avg_steps:.1f} avg) "
+ f"vs winners ({top_avg_steps:.1f} avg) — consider removing nodes"
+ )
+
+ def _generate_structural_recommendations(
+ self,
+ top_k: Sequence[tuple[str, float, CycleRecord | None]],
+ bottom_k: Sequence[tuple[str, float, CycleRecord | None]],
+ report: ReflectionReport,
+ ) -> None:
+ for _, score, rec in bottom_k:
+ if rec is None:
+ continue
+ timeout_failures = [s for s in rec.steps if not s.succeeded and s.duration_s > 500]
+ if timeout_failures:
+ report.structural_recommendations.append(
+ f"PARAM_MUTATE: Increase timeout for agents that timed out "
+ f"({', '.join(s.role for s in timeout_failures)})"
+ )
+
+ for _, score, rec in top_k:
+ if rec is None:
+ continue
+ if rec.node_trace:
+ parallel_nodes = [
+ nid for nid, nt in rec.node_trace.items()
+ if nt.node_type == "ForkNode"
+ ]
+ if parallel_nodes:
+ report.structural_recommendations.append(
+ "PARALLELIZE: Winners use parallel execution — "
+ "consider parallelizing independent agents"
+ )
+ break
+
+ def _save_report(self, report: ReflectionReport, generation: int) -> None:
+ if not self._project_dir:
+ return
+ reflect_dir = self._project_dir / ".factory" / "outer_loop" / "reflections"
+ reflect_dir.mkdir(parents=True, exist_ok=True)
+
+ report_data = {
+ "generation": generation,
+ "failure_patterns": report.failure_patterns,
+ "success_patterns": report.success_patterns,
+ "mutation_suggestions": report.mutation_suggestions,
+ "prompt_improvements": report.prompt_improvements,
+ "structural_recommendations": report.structural_recommendations,
+ "top_k_ids": report.top_k_ids,
+ "bottom_k_ids": report.bottom_k_ids,
+ }
+ path = reflect_dir / f"gen{generation}.json"
+ path.write_text(json.dumps(report_data, indent=2))
+
+ md_path = reflect_dir / f"gen{generation}.md"
+ lines = [f"# Reflection — Generation {generation}\n"]
+ if report.failure_patterns:
+ lines.append("## Failure Patterns")
+ for p in report.failure_patterns:
+ lines.append(f"- {p}")
+ lines.append("")
+ if report.success_patterns:
+ lines.append("## Success Patterns")
+ for p in report.success_patterns:
+ lines.append(f"- {p}")
+ lines.append("")
+ if report.mutation_suggestions:
+ lines.append("## Mutation Suggestions")
+ for s in report.mutation_suggestions:
+ lines.append(f"- {s}")
+ lines.append("")
+ if report.structural_recommendations:
+ lines.append("## Structural Recommendations")
+ for r in report.structural_recommendations:
+ lines.append(f"- {r}")
+ md_path.write_text("\n".join(lines) + "\n")
diff --git a/factory/outer_loop/similarity.py b/factory/outer_loop/similarity.py
new file mode 100644
index 000000000..16938a880
--- /dev/null
+++ b/factory/outer_loop/similarity.py
@@ -0,0 +1,134 @@
+"""Novelty filtering, deduplication, and feature extraction for workflows."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+from typing import TYPE_CHECKING
+
+import networkx as nx
+
+if TYPE_CHECKING:
+ from factory.workflow.primitives import Workflow
+
+
+def structural_hash(workflow: Workflow) -> str:
+ """SHA-256 of the canonical form of a workflow graph.
+
+ Nodes are sorted by id; edges are sorted by (source, target).
+ The trigger function is excluded (not serializable).
+ """
+ nodes_canonical: list[dict[str, object]] = []
+ for nid in sorted(workflow.nodes):
+ node = workflow.nodes[nid]
+ d = node.model_dump(mode="json")
+ d["_type"] = type(node).__name__
+ nodes_canonical.append(d)
+
+ edges_canonical = sorted(
+ [e.model_dump(mode="json") for e in workflow.edges],
+ key=lambda e: (e["source"], e["target"]),
+ )
+
+ blob = json.dumps(
+ {"nodes": nodes_canonical, "edges": edges_canonical},
+ sort_keys=True,
+ separators=(",", ":"),
+ )
+ return hashlib.sha256(blob.encode()).hexdigest()
+
+
+def _build_nx_graph(workflow: Workflow) -> nx.DiGraph[str]:
+ """Build a NetworkX DiGraph from a workflow for analysis."""
+ g: nx.DiGraph[str] = nx.DiGraph()
+ for nid in workflow.nodes:
+ g.add_node(nid, node_type=type(workflow.nodes[nid]).__name__)
+ for edge in workflow.edges:
+ g.add_edge(edge.source, edge.target)
+ return g
+
+
+def graph_edit_distance(w1: Workflow, w2: Workflow) -> int:
+ """Approximate graph edit distance between two workflows.
+
+ Counts: nodes in w1 not in w2, nodes in w2 not in w1,
+ edges in w1 not in w2, edges in w2 not in w1,
+ plus attribute diffs on common nodes (different type = 1 edit).
+ """
+ n1 = set(w1.nodes.keys())
+ n2 = set(w2.nodes.keys())
+
+ e1 = {(e.source, e.target) for e in w1.edges}
+ e2 = {(e.source, e.target) for e in w2.edges}
+
+ dist = len(n1 - n2) + len(n2 - n1) + len(e1 - e2) + len(e2 - e1)
+
+ for nid in n1 & n2:
+ if type(w1.nodes[nid]).__name__ != type(w2.nodes[nid]).__name__:
+ dist += 1
+
+ return dist
+
+
+def compute_features(workflow: Workflow) -> tuple[int, int, int, int]:
+ """Extract (depth, fork_degree, agent_count, gate_count) from a workflow.
+
+ - depth: longest path in the DAG
+ - fork_degree: max parallelism (largest ForkNode.targets count)
+ - agent_count: number of AgentNode instances
+ - gate_count: number of GateNode instances
+ """
+ g = _build_nx_graph(workflow)
+
+ try:
+ depth = nx.dag_longest_path_length(g)
+ except (nx.NetworkXUnfeasible, nx.NetworkXError):
+ depth = len(workflow.nodes)
+
+ fork_degree = 0
+ agent_count = 0
+ gate_count = 0
+
+ for node in workflow.nodes.values():
+ tname = type(node).__name__
+ if tname == "ForkNode":
+ fork_degree = max(fork_degree, len(node.targets)) # type: ignore[union-attr]
+ elif tname == "AgentNode":
+ agent_count += 1
+ elif tname == "GateNode":
+ gate_count += 1
+
+ return (depth, fork_degree, agent_count, gate_count)
+
+
+class NoveltyFilter:
+ """Rejects near-duplicate workflows based on hash and edit distance."""
+
+ def __init__(self, min_edit_distance: int = 5, max_archive_size: int = 1000) -> None:
+ self.seen_hashes: set[str] = set()
+ self.min_edit_distance = min_edit_distance
+ self.max_archive_size = max_archive_size
+ self._archived_workflows: list[Workflow] = []
+
+ def is_novel(self, workflow: Workflow, threshold: int | None = None) -> bool:
+ """Check if a workflow is novel (not seen before).
+
+ Returns False if the structural hash was seen before OR if the
+ graph edit distance to any archived workflow is below threshold.
+ """
+ h = structural_hash(workflow)
+ if h in self.seen_hashes:
+ return False
+
+ t = threshold if threshold is not None else self.min_edit_distance
+ for archived in self._archived_workflows:
+ if graph_edit_distance(workflow, archived) < t:
+ return False
+
+ return True
+
+ def add(self, workflow: Workflow) -> None:
+ """Register a workflow as seen."""
+ self.seen_hashes.add(structural_hash(workflow))
+ if len(self._archived_workflows) < self.max_archive_size:
+ self._archived_workflows.append(workflow)
diff --git a/factory/outer_loop/subset.py b/factory/outer_loop/subset.py
new file mode 100644
index 000000000..022b42765
--- /dev/null
+++ b/factory/outer_loop/subset.py
@@ -0,0 +1,30 @@
+"""Benchmark subset selection for evolutionary search."""
+
+from __future__ import annotations
+
+from typing import Protocol, runtime_checkable
+
+import structlog
+
+log = structlog.get_logger()
+
+
+@runtime_checkable
+class SubsetSelector(Protocol):
+ """Protocol for selecting which benchmark instances to evaluate per generation."""
+
+ def select(
+ self, all_instances: list[str], generation: int, budget_remaining: int
+ ) -> list[str]: ...
+
+
+class FixedSubsetSelector:
+ """Always returns the configured training instances."""
+
+ def __init__(self, training_instances: list[str]) -> None:
+ self._training_instances = list(training_instances)
+
+ def select(
+ self, all_instances: list[str], generation: int, budget_remaining: int
+ ) -> list[str]:
+ return list(self._training_instances)
diff --git a/factory/plugins.py b/factory/plugins.py
new file mode 100644
index 000000000..9fcb19815
--- /dev/null
+++ b/factory/plugins.py
@@ -0,0 +1,183 @@
+"""Plugin system — discover and load pip-installable factory extensions via entry points."""
+
+from __future__ import annotations
+
+import argparse
+import importlib.metadata
+from dataclasses import dataclass, field
+from typing import Any, Callable, Literal
+
+import structlog
+
+log = structlog.get_logger()
+
+ENTRY_POINT_GROUP = "factory.plugins"
+
+BUILTIN_COMMANDS: frozenset[str] = frozenset({
+ "ace", "ace-stats", "adversarial-state", "agent", "archive",
+ "backfill-archive", "backfill-citations", "backlog-add", "backlog-list",
+ "backlog-remove", "baseline", "begin", "ceo", "checkpoint", "clean-pr",
+ "config", "contained", "dashboard", "deferred-list", "deferred-remove",
+ "detect", "diff", "digest", "discover", "emit", "eval", "explain",
+ "export", "finalize", "graph", "guard", "history", "home", "init",
+ "insights", "install", "leakage-check", "log", "mempalace", "message",
+ "notify", "plugins", "precheck", "profile", "refactory", "refine-begin",
+ "refine-complete", "refine-status", "registry-list", "report-update",
+ "research", "resume", "review", "run", "runners", "self-update",
+ "serve-mcp", "spec", "status", "study", "summary", "tmux",
+ "tmux-capture", "tmux-ls", "tmux-stop", "usage", "validate-research",
+ "vault-init", "workflow",
+})
+
+
+@dataclass
+class CommandSpec:
+ handler: Callable[..., int]
+ help: str
+ add_arguments: Callable[..., None] | None = None
+
+
+@dataclass
+class PluginLoadResult:
+ name: str
+ status: Literal["loaded", "skipped", "failed"]
+ reason: str | None = None
+ version: str | None = None
+
+
+@dataclass
+class PluginRegistry:
+ commands: dict[str, CommandSpec] = field(default_factory=dict)
+ modes: list[str] = field(default_factory=list)
+ agent_roles: list[str] = field(default_factory=list)
+ ceo_pre_hooks: list[Callable[..., Any]] = field(default_factory=list)
+ workflow_search_paths: list[str] = field(default_factory=list)
+ parser_extensions: dict[str, list[Callable[[argparse.ArgumentParser], None]]] = field(
+ default_factory=dict
+ )
+
+ def add_commands(self, commands: dict[str, CommandSpec]) -> None:
+ for name, spec in commands.items():
+ if name in BUILTIN_COMMANDS:
+ log.warning("plugin_command_collision_builtin", command=name, action="skipped")
+ continue
+ if name in self.commands:
+ log.warning("plugin_command_collision", command=name, action="keeping_first")
+ continue
+ self.commands[name] = spec
+
+ def add_modes(self, modes: list[str]) -> None:
+ from factory.cli._helpers import CEO_MODES
+
+ for mode in modes:
+ if mode in CEO_MODES:
+ log.warning("plugin_mode_collision_builtin", mode=mode, action="skipped")
+ continue
+ if mode in self.modes:
+ log.warning("plugin_mode_collision", mode=mode, action="keeping_first")
+ continue
+ self.modes.append(mode)
+
+ def add_agent_roles(self, roles: list[str]) -> None:
+ from factory.cli._parser_groups import BUILTIN_AGENT_ROLES
+
+ for role in roles:
+ if role in BUILTIN_AGENT_ROLES:
+ log.warning("plugin_agent_role_collision_builtin", role=role, action="skipped")
+ continue
+ if role in self.agent_roles:
+ log.warning("plugin_agent_role_collision", role=role, action="keeping_first")
+ continue
+ self.agent_roles.append(role)
+
+ def add_ceo_pre_hook(self, hook: Callable[..., Any]) -> None:
+ self.ceo_pre_hooks.append(hook)
+
+ def add_parser_extensions(
+ self, extensions: dict[str, Callable[[argparse.ArgumentParser], None]]
+ ) -> None:
+ for name, func in extensions.items():
+ self.parser_extensions.setdefault(name, []).append(func)
+
+ def add_workflow_search_path(self, path: str) -> None:
+ self.workflow_search_paths.append(path)
+
+
+_registry: PluginRegistry | None = None
+_results: list[PluginLoadResult] | None = None
+
+
+def load_plugins(registry: PluginRegistry | None = None) -> list[PluginLoadResult]:
+ """Discover and load plugins from the ``factory.plugins`` entry point group.
+
+ Uses three-tier error isolation: discovery → load → validation.
+ Sorted by distribution name for deterministic order.
+ """
+ global _registry, _results
+
+ if registry is None:
+ registry = PluginRegistry()
+
+ eps = importlib.metadata.entry_points()
+ group_eps = eps.get(ENTRY_POINT_GROUP, []) if isinstance(eps, dict) else eps.select(group=ENTRY_POINT_GROUP)
+ sorted_eps = sorted(group_eps, key=lambda ep: (ep.dist.name if ep.dist else ep.name))
+
+ results: list[PluginLoadResult] = []
+
+ for ep in sorted_eps:
+ dist_name = ep.dist.name if ep.dist else ep.name
+ dist_version = ep.dist.version if ep.dist else None
+
+ # Tier 1: Load the entry point
+ try:
+ factory_plugin = ep.load()
+ except Exception as exc:
+ log.warning("plugin_import_failed", plugin=dist_name, error=str(exc))
+ results.append(PluginLoadResult(
+ name=dist_name, status="failed",
+ reason=f"Import error: {exc}", version=dist_version,
+ ))
+ continue
+
+ # Tier 2: Validate it's callable
+ if not callable(factory_plugin):
+ log.warning("plugin_not_callable", plugin=dist_name)
+ results.append(PluginLoadResult(
+ name=dist_name, status="failed",
+ reason="Entry point is not callable", version=dist_version,
+ ))
+ continue
+
+ # Tier 3: Call the registration function
+ try:
+ factory_plugin(registry)
+ except Exception as exc:
+ log.warning("plugin_registration_failed", plugin=dist_name, error=str(exc))
+ results.append(PluginLoadResult(
+ name=dist_name, status="failed",
+ reason=f"Registration error: {exc}", version=dist_version,
+ ))
+ continue
+
+ results.append(PluginLoadResult(
+ name=dist_name, status="loaded", version=dist_version,
+ ))
+
+ _registry = registry
+ _results = results
+ return results
+
+
+def get_registry() -> PluginRegistry:
+ global _registry
+ if _registry is None:
+ _registry = PluginRegistry()
+ load_plugins(_registry)
+ return _registry
+
+
+def get_results() -> list[PluginLoadResult]:
+ global _results
+ if _results is None:
+ get_registry()
+ return _results or []
diff --git a/factory/podman.py b/factory/podman.py
new file mode 100644
index 000000000..a5f72806e
--- /dev/null
+++ b/factory/podman.py
@@ -0,0 +1,402 @@
+"""Podman integration — composing the commands that run the factory inside a container.
+
+Everything that knows about the `podman` CLI lives here. That surface is external and moves
+independently of the factory, so keeping it in one file means one place to fix when it changes.
+
+The module **composes** command lines and does not execute them; execution and error handling live
+in `factory.cli.contained`. That split is what makes `FACTORY_CONTAINED_DRY_RUN=1` honest — dry-run
+prints the same argv the real path runs, rather than a separate rendering that drifts from it.
+
+Two shapes deserve explanation up front.
+
+**PID 1.** The factory is not a well-behaved init: it spawns agent subprocesses, and a container
+whose PID 1 neither forwards signals nor reaps children accumulates zombies and ignores `podman
+stop`. So the container is created with `--init` (podman's catatonit becomes PID 1) around a
+trivial `sleep infinity`, and the run itself is started afterwards inside tmux. The process tree
+then has a supervisor at both levels.
+
+**Why the factory starts via `exec` rather than as the container's command.** The provenance
+assertions have to run after the workspace is in place and *before* the first agent call, and to
+abort naming the file and the likely cause. Folding them into the container's command would put
+their failure inside `podman logs`, where the host has to poll for container death and guess which
+assertion broke. Running them as `podman exec` steps between create and run keeps per-probe exit
+codes and stderr on the host, which is where the message a user reads is composed.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import os
+import shlex
+from dataclasses import dataclass, field
+from pathlib import Path
+
+from factory.contained.provenance import Probe
+
+# Dry-run env var for contained runtimes.
+DRY_RUN_ENV = "FACTORY_CONTAINED_DRY_RUN"
+
+IMAGE_ENV = "FACTORY_CONTAINED_IMAGE"
+DEFAULT_IMAGE = "ghcr.io/akashgit/remote-factory/factory-runtime:latest"
+
+LABEL_PROJECT = "factory.project"
+LABEL_NAME = "factory.name"
+LABEL_CONTAINED = "factory.contained"
+LABEL_SOURCE = "factory.source"
+
+# One well-known session name, because `attach` has to find it without being told.
+TMUX_SESSION = "factory"
+
+# The runtime image's home directory. The container runs under an arbitrary UID matched to the
+# workspace's owner, which usually has no /etc/passwd entry — so `$HOME` has to be stated
+# explicitly or the shell inherits `/` and everything that writes a dotfile writes it to the image's
+# read-only root. Anything home-relative on the host (`~/.factory`, gcloud's ADC) is mounted under
+# this rather than at its host path.
+CONTAINER_HOME = "/home/factory"
+
+# The container's PID-1 payload under `--init`. It has to outlive the factory:.4 keeps the
+# container after the run ends, because a failed run is exactly when its state is worth reading.
+# `sleep infinity` dies on SIGTERM, so `podman stop` still completes inside the grace period rather
+# than escalating to SIGKILL — which is what.6 step 6 checks.
+IDLE_COMMAND = "sleep infinity"
+
+# The two variables that feed growth dimensions. They merge 50/50 into the composite score, so their
+# absence does not break a run — it silently makes the run's scores incomparable to host scores.
+GROWTH_CONTEXT_VARS = ("FACTORY_MANAGED_DIRS", "FACTORY_VAULT_PATH")
+
+# podman's name for the host. On macOS the container runs inside the podman machine VM, so this
+# resolves to the VM's gateway rather than to macOS itself —.1/F6, and
+# `factory.contained.division`, which probes rather than assumes.
+HOST_ALIAS = "host.containers.internal"
+
+
+def dry_run_enabled(env: dict[str, str] | None = None) -> bool:
+ source = os.environ if env is None else env
+ return source.get(DRY_RUN_ENV, "").strip().lower() in ("1", "true", "yes")
+
+
+def resolve_image(env: dict[str, str] | None = None) -> str:
+ source = os.environ if env is None else env
+ return source.get(IMAGE_ENV) or DEFAULT_IMAGE
+
+
+def project_hash(project_path: Path) -> str:
+ """Stable identifier for a project path, used as a container label value."""
+ return hashlib.sha1(str(project_path).encode()).hexdigest()[:12]
+
+
+_HASH_SUFFIX = 6
+# podman itself accepts long names; this cap keeps `ls` output aligned and container names typable.
+MAX_NAME = 32
+
+
+def container_name(project_path: Path) -> str:
+ """Derive a container name from a project path.
+
+ The hash suffix keeps two same-named projects in different directories apart, so it is never
+ the part that gets truncated — the readable stem is. Identity for lookup lives in the labels
+ (`factory.project`, `factory.name`), which have no length limit, so a truncated stem costs
+ nothing but legibility.
+ """
+ digest = project_hash(project_path)[:_HASH_SUFFIX]
+ stem = "".join(c if c.isalnum() else "-" for c in project_path.name.lower()).strip("-")
+ stem = stem[: MAX_NAME - _HASH_SUFFIX - 1].strip("-") or "factory"
+ return f"{stem}-{digest}"
+
+
+@dataclass(frozen=True)
+class Mount:
+ """One bind mount into the container.
+
+ `target` is a full path, not a parent: unlike an upload, a bind mount lands exactly where it is
+ told. Locally `source` and `target` are the same string for the workspace, which is the
+ path-preserving property.5 depends on — the local division's builds are executed by an engine
+ *outside* the container and resolve their context path in the host engine's namespace.
+ """
+
+ source: Path
+ target: str
+ read_only: bool = False
+
+ def as_flag(self) -> str:
+ suffix = ":ro" if self.read_only else ":rw"
+ return f"{self.source}:{self.target}{suffix}"
+
+
+@dataclass(frozen=True)
+class ContainerPlan:
+ """Everything needed to provision one container, in the order it must happen."""
+
+ name: str
+ image: str
+ workdir: str
+ env: dict[str, str]
+ labels: dict[str, str]
+ mounts: tuple[Mount, ...]
+ # `run_command` is the whole shell line the container runs; `factory_command` is just the
+ # `factory ...` invocation inside it. Both are stored because the division re-composes the
+ # former from the latter — folding in an MCP registration and the division brief — and
+ # re-deriving one by string-surgery on the other is how the two drift apart.
+ run_command: str
+ factory_command: str = ""
+ user: str | None = None
+ userns: str | None = None
+ network_aliases: tuple[str, ...] = field(default=())
+ warnings: tuple[str, ...] = field(default=())
+
+
+def build_create_argv(plan: ContainerPlan) -> list[str]:
+ """Compose the `podman run -d` that creates the container.
+
+ Everything the run needs is supplied here: mounts, environment, labels, identity. The container
+ starts detached and returns its identifier immediately.
+ """
+ cmd = ["podman", "run", "-d", "--init", "--name", plan.name]
+ for key, value in sorted(plan.labels.items()):
+ cmd += ["--label", f"{key}={value}"]
+ for key, value in sorted(plan.env.items()):
+ cmd += ["--env", f"{key}={value}"]
+ for mount in plan.mounts:
+ cmd += ["-v", mount.as_flag()]
+ if plan.userns:
+ cmd += [f"--userns={plan.userns}"]
+ if plan.user:
+ cmd += ["--user", plan.user]
+ cmd += ["--workdir", plan.workdir]
+ cmd += [plan.image, "sh", "-lc", IDLE_COMMAND]
+ return cmd
+
+
+def build_exec_argv(
+ name: str, argv: list[str], *, tty: bool = False, detach: bool = False
+) -> list[str]:
+ """Compose `podman exec` for an arbitrary command inside a running container.
+
+ TTY allocation is stated explicitly rather than auto-detected, because the factory runs this
+ both from a terminal (attach) and from a pipe (provisioning), and auto-detection would quietly
+ do the wrong thing in whichever case the caller forgot about.
+ """
+ cmd = ["podman", "exec"]
+ if detach:
+ cmd.append("-d")
+ if tty:
+ cmd += ["-i", "-t"]
+ cmd += [name, *argv]
+ return cmd
+
+
+def build_attach_argv(name: str, *, session: str = TMUX_SESSION) -> list[str]:
+ """Compose the reattach.
+
+ tmux has no network protocol — its client-server link is a Unix socket — so an `exec` with a
+ TTY is the transport. The multiplexer is what makes detaching safe: without it, `podman attach`
+ is the only route to the running process's stdio and `Ctrl-C` sends SIGINT to the factory.
+
+ Revives a dead pane before attaching. The session is created with `remain-on-exit`, so a run
+ that has finished — or a shell the user typed `exit` into — leaves the pane dead rather than
+ destroying the session. Attaching to a dead pane would show a frozen screen and accept no
+ input, so it is respawned into a shell first, which keeps the scrollback and gives the user
+ somewhere to type.
+ """
+ revive = (
+ f'if [ "$(tmux list-panes -t {shlex.quote(session)} -F "#{{pane_dead}}" 2>/dev/null '
+ f'| head -1)" = "1" ]; then tmux respawn-pane -t {shlex.quote(session)} "exec sh -i"; fi; '
+ f"exec tmux attach -t {shlex.quote(session)}"
+ )
+ return build_exec_argv(name, ["sh", "-lc", revive], tty=True)
+
+
+def build_pane_liveness_argv(name: str, *, session: str = TMUX_SESSION) -> list[str]:
+ """Ask whether anything in the run's session is still alive.
+
+ Session *existence* is the wrong question: the session is deliberately kept after the run ends
+ so its output stays readable, so asking `has-session` reports a finished run as running. What
+ distinguishes them is whether any pane still has a live process — `#{pane_dead}` is `0` for one
+ that does.
+ """
+ return build_exec_argv(name, ["tmux", "list-panes", "-t", session, "-F", "#{pane_dead}"])
+
+
+def build_start_argv(plan: ContainerPlan) -> list[str]:
+ """Compose the exec that starts the detached tmux session holding the run."""
+ return build_exec_argv(
+ plan.name, ["sh", "-lc", build_tmux_launch(plan.workdir, plan.run_command)]
+ )
+
+
+def build_rm_argv(name: str, *, force: bool = True) -> list[str]:
+ cmd = ["podman", "rm"]
+ if force:
+ cmd.append("--force")
+ cmd.append(name)
+ return cmd
+
+
+def build_ps_argv(*, all_states: bool = True) -> list[str]:
+ """List every container the factory created — and nothing else.
+
+ A tool that shows a user resources it did not create invites them to assume it manages those
+ too, so the filter is the factory's own label rather than a bare `podman ps`.
+ """
+ cmd = ["podman", "ps"]
+ if all_states:
+ cmd.append("--all")
+ cmd += ["--filter", f"label={LABEL_CONTAINED}=true", "--format", "json"]
+ return cmd
+
+
+def build_image_exists_argv(reference: str) -> list[str]:
+ return ["podman", "image", "exists", reference]
+
+
+def build_pull_argv(reference: str) -> list[str]:
+ return ["podman", "pull", reference]
+
+
+def build_info_argv() -> list[str]:
+ """Exercise the connection, not merely the binary.
+
+ On macOS the machine stops quietly and `podman machine start` is required after a reboot, so a
+ check that only finds the binary reports a healthy setup for a machine that is down.
+ """
+ return ["podman", "info", "--format", "json"]
+
+
+def build_stat_argv(image: str, mount: Mount, *, user: str | None = None) -> list[str]:
+ """Compose a throwaway container that reports a mount's ownership as the container sees it.
+
+ .2 refuses to encode an identity rule that is wrong for one of rootless / rootful / macOS.
+ This is the measurement that replaces the rule: mount the path, ask the kernel inside the
+ container who owns it, and match the run's identity to the answer.
+ """
+ cmd = ["podman", "run", "--rm", "-v", mount.as_flag()]
+ if user:
+ cmd += ["--user", user]
+ cmd += [image, "stat", "-c", "%u:%g", mount.target]
+ return cmd
+
+
+def build_tmux_launch(workdir: str, command: str, *, session: str = TMUX_SESSION) -> str:
+ """Compose the detached tmux session that holds the run.
+
+ Detached, so the exec that starts it returns as soon as the session exists and the caller can
+ print the identifier instead of blocking on the whole cycle. The trailing interactive shell
+ keeps the session alive after the factory exits, which is what makes a *failed* run
+ inspectable — the case where its state is most worth reading.
+ """
+ inner = f"{command}; printf '\\n[factory exited %s]\\n' \"$?\"; exec sh -i"
+ # `remain-on-exit` is what stops one stray Ctrl-D from destroying the run's session for good.
+ # Without it, exiting the shell closes the last pane, which closes the window, which ends the
+ # session and takes the entire scrollback with it — leaving a container that `ls` still calls
+ # running and an `attach` that answers "no sessions" with no way back.
+ quoted = shlex.quote(session)
+ return (
+ f"tmux new-session -d -s {quoted} -c {shlex.quote(workdir)} {shlex.quote(inner)}; "
+ # `remain-on-exit` is what stops one stray Ctrl-D from destroying the session for good, and
+ # the hook is what stops that from stranding whoever pressed it: without it the client stays
+ # attached to a pane that is dead and accepts no input, so the only way out is to know the
+ # tmux detach key. Together: the session and its scrollback survive, and exiting returns you
+ # to your own shell.
+ f"tmux set-option -t {quoted} remain-on-exit on; "
+ f"tmux set-hook -t {quoted} pane-died detach-client"
+ )
+
+
+def build_run_command(
+ workdir: str,
+ factory_argv: str,
+ *,
+ mcp_config: dict[str, object] | None = None,
+ files: dict[str, str] | None = None,
+) -> str:
+ """Compose the shell command the container runs.
+
+ The MCP registration and any division files are written inside the container because they
+ belong next to the project, whose location inside is known only here.
+
+ The first thing it does is pre-answer Claude Code's trust and MCP-approval prompts for this
+ workspace (`factory.contained.claude_state`). They are interactive-only, and a contained run has
+ a real terminal that nobody is watching — so unanswered they read as a hang, after the tokens it
+ took to reach them have already been spent.
+ """
+ import json
+
+ from factory.contained.claude_state import render_seed_command
+
+ raw_servers = (mcp_config or {}).get("mcpServers", {})
+ servers: tuple[str, ...] = tuple(raw_servers) if isinstance(raw_servers, dict) else ()
+ parts: list[str] = [
+ render_seed_command(workdir, servers),
+ f"cd {shlex.quote(workdir)}",
+ ]
+ if mcp_config is not None:
+ payload = shlex.quote(json.dumps(mcp_config, sort_keys=True))
+ parts.append(f"printf '%s' {payload} > .mcp.json")
+ for relative, content in sorted((files or {}).items()):
+ directory = str(Path(relative).parent)
+ if directory not in (".", ""):
+ parts.append(f"mkdir -p {shlex.quote(directory)}")
+ parts.append(f"printf '%s' {shlex.quote(content)} > {shlex.quote(relative)}")
+ parts.append(factory_argv)
+ return " && ".join(parts)
+
+
+# Payloads that can produce an eval score. Warning about score comparability ahead of `backlog-list`
+# or `ls` trains the user to skip warnings, which costs them the one that matters.
+SCORING_COMMANDS = frozenset({"ceo", "run", "eval", "improve", "workflow", "refactory", "baseline"})
+
+
+def scores_something(factory_args: list[str]) -> bool:
+ """Whether this payload could produce an eval score.
+
+ Looks only at the first non-flag word — the subcommand. The host does not otherwise interpret
+ the payload, and it does not need to here either.
+ """
+ for token in factory_args:
+ if token.startswith("-"):
+ continue
+ return token in SCORING_COMMANDS
+ return False
+
+
+def growth_context_warning(
+ env: dict[str, str] | None = None, factory_args: list[str] | None = None
+) -> str | None:
+ """Warn that in-container scores will not be comparable — but only when scores are involved.
+
+ Never an error. A container without this context still runs; its eval scores are simply not
+ comparable to host scores, and the operator needs to know that before comparing them.
+ """
+ if factory_args is not None and not scores_something(factory_args):
+ return None
+ source = os.environ if env is None else env
+ missing = [name for name in GROWTH_CONTEXT_VARS if not source.get(name, "").strip()]
+ if not missing:
+ return None
+ return (
+ "Eval scores from this run will not be comparable to scores computed on this machine: "
+ f"{', '.join(missing)} {'is' if len(missing) == 1 else 'are'} not set, and those directories "
+ "feed part of the score. Set them and pass them with --forward to make the numbers "
+ "comparable, or ignore this if you are not comparing scores."
+ )
+
+
+@dataclass(frozen=True)
+class Step:
+ """One provisioning command, named so a failure can say which stage broke."""
+
+ name: str
+ argv: list[str]
+
+
+def plan_steps(plan: ContainerPlan, probes: list[Probe] | None = None) -> list[Step]:
+ """The full provisioning sequence as ordered, named steps.
+
+ This is what dry-run prints and what the real path executes, so the two cannot drift — a
+ dry-run that renders a command the real path does not run is worse than no dry-run at all.
+ """
+ steps = [Step("create", build_create_argv(plan))]
+ for probe in probes or []:
+ steps.append(Step(f"assert:{probe.name}", build_exec_argv(plan.name, probe.argv)))
+ steps.append(Step("run", build_start_argv(plan)))
+ return steps
diff --git a/factory/precheck.py b/factory/precheck.py
index 2ab957cd3..8e0577156 100644
--- a/factory/precheck.py
+++ b/factory/precheck.py
@@ -242,7 +242,11 @@ def check_qa_execution(
project_path: Path,
exp_id: int,
) -> CheckResult:
- """Verify the QA agent was invoked for this experiment — Sacred Rule 9."""
+ """Verify QA verification was invoked for this experiment — Sacred Rule 9.
+
+ Matches both the old monolithic QA agent events and the new deep-QA
+ specialist events (health_checker, code_reviewer, adversarial_tester).
+ """
from factory.events import load_events
events = load_events(project_path)
@@ -264,6 +268,8 @@ def check_qa_execution(
detail=f"No experiment.begin event found for exp_id={exp_id} — skipping QA check",
)
+ qa_roles = {"qa", "health_checker", "code_reviewer", "adversarial_tester"}
+
for ev in events:
ts_str = ev.get("timestamp")
if not ts_str:
@@ -277,19 +283,19 @@ def check_qa_execution(
return CheckResult(
name="qa_execution",
passed=True,
- detail="QA agent completed for this experiment",
+ detail="QA verification completed for this experiment",
)
- if ev_type == "agent.completed" and ev.get("agent") == "qa":
+ if ev_type == "agent.completed" and ev.get("agent") in qa_roles:
return CheckResult(
name="qa_execution",
passed=True,
- detail="QA agent completed for this experiment",
+ detail=f"QA verification completed for this experiment ({ev.get('agent')})",
)
return CheckResult(
name="qa_execution",
passed=False,
- detail="QA agent not invoked — Sacred Rule 9 violation",
+ detail="QA verification not invoked — Sacred Rule 9 violation",
)
diff --git a/factory/profile.py b/factory/profile.py
index 92031d6be..a11a25c04 100644
--- a/factory/profile.py
+++ b/factory/profile.py
@@ -179,12 +179,12 @@ def save_profile(content: str, source_projects: list[str], runner_name: str) ->
async def synthesize_profile(
evidence: dict[str, str],
runner_name: str | None = None,
+ *,
+ prompt: str,
) -> str:
"""Invoke the profiler agent via headless runner to synthesize a profile."""
- from factory.agents.runner import resolve_prompt
from factory.runners import get_runner
- prompt = resolve_prompt("profiler")
task = _build_synthesis_task(evidence)
from factory.models import AgentRunRequest
diff --git a/factory/registry.py b/factory/registry.py
index a382a2a7d..e1e5af41a 100644
--- a/factory/registry.py
+++ b/factory/registry.py
@@ -126,25 +126,17 @@ def list_projects(registry_path: Path | None = None) -> list[ProjectEntry]:
return registry.projects
-def populate_from_directory(projects_dir: Path, registry_path: Path | None = None) -> int:
- """Auto-populate registry by scanning a directory for .factory/results.tsv.
-
- Used as migration path from discover_projects() to the registry.
- Returns the number of newly registered projects.
- """
- from factory.insights import discover_projects
-
- existing = _load_registry(registry_path)
- existing_paths = {e.path for e in existing.projects}
-
- discovered = discover_projects(projects_dir)
- added = 0
- for path in discovered:
- resolved = str(path.resolve())
- if resolved not in existing_paths:
- register_project(path, registry_path)
- added += 1
-
- if added:
- log.info("registry_populated", added=added, dir=str(projects_dir))
- return added
+def discover_projects(projects_dir: Path) -> list[Path]:
+ """Find all factory-managed projects by scanning for .factory/results.tsv."""
+ if not projects_dir.exists():
+ log.debug("discover_projects_skip", reason="dir_not_found", path=str(projects_dir))
+ return []
+ projects: list[Path] = []
+ for child in sorted(projects_dir.iterdir()):
+ if not child.is_dir():
+ continue
+ tsv = child / ".factory" / "results.tsv"
+ if tsv.exists():
+ projects.append(child)
+ log.info("discover_projects_complete", count=len(projects), dir=str(projects_dir))
+ return projects
diff --git a/factory/research/leakage.py b/factory/research/leakage.py
index 1c6e7431e..100d01a5f 100644
--- a/factory/research/leakage.py
+++ b/factory/research/leakage.py
@@ -8,7 +8,6 @@
from __future__ import annotations
import re
-import subprocess
from dataclasses import dataclass, field
from pathlib import Path
from typing import TYPE_CHECKING
@@ -21,34 +20,179 @@
log = structlog.get_logger()
# Tokens that appear in almost every codebase — not distinctive enough to flag
-_STOPWORDS: frozenset[str] = frozenset({
- # Python keywords / builtins
- "def", "class", "return", "import", "from", "if", "else", "elif",
- "for", "while", "try", "except", "with", "as", "in", "not", "and",
- "or", "is", "none", "true", "false", "self", "cls", "pass", "break",
- "continue", "raise", "yield", "lambda", "assert", "global", "nonlocal",
- "finally", "del", "async", "await",
- # JS/TS keywords
- "var", "let", "const", "function", "new", "this", "typeof", "instanceof",
- "null", "undefined", "void", "throw", "catch", "export", "default",
- # Common programming terms
- "test", "tests", "error", "errors", "data", "result", "results",
- "value", "values", "name", "type", "types", "path", "file", "files",
- "list", "dict", "set", "map", "get", "put", "post", "delete",
- "init", "main", "run", "start", "stop", "open", "close", "read",
- "write", "print", "log", "debug", "info", "warn", "config",
- "input", "output", "args", "kwargs", "key", "item", "items",
- "index", "count", "size", "length", "string", "number", "int",
- "float", "bool", "byte", "bytes", "char", "array", "object",
- "node", "text", "content", "body", "header", "status", "code",
- "message", "response", "request", "url", "port", "host",
- "the", "and", "for", "with", "that", "this", "from", "have",
- "are", "was", "were", "been", "has", "had", "will", "would",
- "should", "could", "can", "may", "must", "shall", "might",
- "use", "using", "used", "make", "made", "add", "added",
- "fix", "fixed", "update", "updated", "change", "changed",
- "create", "created", "remove", "removed", "check", "checked",
-})
+_STOPWORDS: frozenset[str] = frozenset(
+ {
+ # Python keywords / builtins
+ "def",
+ "class",
+ "return",
+ "import",
+ "from",
+ "if",
+ "else",
+ "elif",
+ "for",
+ "while",
+ "try",
+ "except",
+ "with",
+ "as",
+ "in",
+ "not",
+ "and",
+ "or",
+ "is",
+ "none",
+ "true",
+ "false",
+ "self",
+ "cls",
+ "pass",
+ "break",
+ "continue",
+ "raise",
+ "yield",
+ "lambda",
+ "assert",
+ "global",
+ "nonlocal",
+ "finally",
+ "del",
+ "async",
+ "await",
+ # JS/TS keywords
+ "var",
+ "let",
+ "const",
+ "function",
+ "new",
+ "this",
+ "typeof",
+ "instanceof",
+ "null",
+ "undefined",
+ "void",
+ "throw",
+ "catch",
+ "export",
+ "default",
+ # Common programming terms
+ "test",
+ "tests",
+ "error",
+ "errors",
+ "data",
+ "result",
+ "results",
+ "value",
+ "values",
+ "name",
+ "type",
+ "types",
+ "path",
+ "file",
+ "files",
+ "list",
+ "dict",
+ "set",
+ "map",
+ "get",
+ "put",
+ "post",
+ "delete",
+ "init",
+ "main",
+ "run",
+ "start",
+ "stop",
+ "open",
+ "close",
+ "read",
+ "write",
+ "print",
+ "log",
+ "debug",
+ "info",
+ "warn",
+ "config",
+ "input",
+ "output",
+ "args",
+ "kwargs",
+ "key",
+ "item",
+ "items",
+ "index",
+ "count",
+ "size",
+ "length",
+ "string",
+ "number",
+ "int",
+ "float",
+ "bool",
+ "byte",
+ "bytes",
+ "char",
+ "array",
+ "object",
+ "node",
+ "text",
+ "content",
+ "body",
+ "header",
+ "status",
+ "code",
+ "message",
+ "response",
+ "request",
+ "url",
+ "port",
+ "host",
+ "the",
+ "and",
+ "for",
+ "with",
+ "that",
+ "this",
+ "from",
+ "have",
+ "are",
+ "was",
+ "were",
+ "been",
+ "has",
+ "had",
+ "will",
+ "would",
+ "should",
+ "could",
+ "can",
+ "may",
+ "must",
+ "shall",
+ "might",
+ "use",
+ "using",
+ "used",
+ "make",
+ "made",
+ "add",
+ "added",
+ "fix",
+ "fixed",
+ "update",
+ "updated",
+ "change",
+ "changed",
+ "create",
+ "created",
+ "remove",
+ "removed",
+ "check",
+ "checked",
+ }
+)
# Minimum token length to consider
_MIN_TOKEN_LEN = 3
@@ -191,12 +335,14 @@ def _check_token_overlap(
jaccard = len(overlap) / len(text_tokens | fp_tokens)
if jaccard >= threshold:
top_tokens = sorted(overlap)[:5]
- findings.append(LeakageFinding(
- source_file=source_file,
- leaked_token=", ".join(top_tokens),
- context=f"Jaccard overlap={jaccard:.2f} ({len(overlap)} shared tokens)",
- leak_type="token_overlap",
- ))
+ findings.append(
+ LeakageFinding(
+ source_file=source_file,
+ leaked_token=", ".join(top_tokens),
+ context=f"Jaccard overlap={jaccard:.2f} ({len(overlap)} shared tokens)",
+ leak_type="token_overlap",
+ )
+ )
return findings
@@ -220,12 +366,14 @@ def _check_negation_hints(
source = token_sources[negated_word]
start = max(0, match.start() - 20)
end = min(len(text), match.end() + 20)
- findings.append(LeakageFinding(
- source_file=source,
- leaked_token=negated_word,
- context=text[start:end].strip(),
- leak_type="negation_hint",
- ))
+ findings.append(
+ LeakageFinding(
+ source_file=source,
+ leaked_token=negated_word,
+ context=text[start:end].strip(),
+ leak_type="negation_hint",
+ )
+ )
return findings
@@ -246,12 +394,14 @@ def _check_specific_values(
idx = text.find(val)
start = max(0, idx - 20)
end = min(len(text), idx + len(val) + 20)
- findings.append(LeakageFinding(
- source_file=source_file,
- leaked_token=val,
- context=text[start:end].strip() if idx >= 0 else val,
- leak_type="specific_value",
- ))
+ findings.append(
+ LeakageFinding(
+ source_file=source_file,
+ leaked_token=val,
+ context=text[start:end].strip() if idx >= 0 else val,
+ leak_type="specific_value",
+ )
+ )
return findings
@@ -316,32 +466,6 @@ def scan_for_leakage(
return LeakageReport(flagged=True, risk_level=risk_level, findings=all_findings)
-def scan_diff_for_leakage(
- diff_text: str,
- fingerprints: dict[str, set[str]],
- sensitivity: str = "medium",
-) -> LeakageReport:
- """Scan a PR diff for ground truth leakage.
-
- Extracts only added lines (+ prefix) from the diff to avoid false positives
- from unchanged context lines, then runs the standard leakage scanner.
- """
- if not diff_text or not fingerprints:
- return LeakageReport(flagged=False, risk_level="none")
-
- # Extract only added lines (strip the + prefix)
- added_lines: list[str] = []
- for line in diff_text.splitlines():
- if line.startswith("+") and not line.startswith("+++"):
- added_lines.append(line[1:])
-
- if not added_lines:
- return LeakageReport(flagged=False, risk_level="none")
-
- added_text = "\n".join(added_lines)
- return scan_for_leakage(added_text, fingerprints, sensitivity)
-
-
def validate_research_config(
config: FactoryConfig,
project_path: Path,
@@ -391,18 +515,3 @@ def validate_research_config(
)
return errors
-
-
-def get_diff_text(project_path: Path, baseline_sha: str) -> str:
- """Get the diff between baseline and HEAD."""
- try:
- result = subprocess.run(
- ["git", "diff", f"{baseline_sha}..HEAD"],
- cwd=project_path,
- capture_output=True,
- text=True,
- timeout=30,
- )
- return result.stdout
- except (subprocess.TimeoutExpired, FileNotFoundError):
- return ""
diff --git a/factory/research/runner.py b/factory/research/runner.py
index b5a9079d0..37fd26c20 100644
--- a/factory/research/runner.py
+++ b/factory/research/runner.py
@@ -14,7 +14,6 @@
from factory.models import (
AggregateMethod,
- InnerLoopConfig,
ResearchTarget,
ResultParseError,
RunResult,
@@ -63,19 +62,13 @@ def _navigate(data: object, key_path: str) -> float:
current = current[part]
if isinstance(current, bool):
- raise ResultParseError(
- f"value at '{key_path}' is boolean, not numeric: {current!r}"
- )
+ raise ResultParseError(f"value at '{key_path}' is boolean, not numeric: {current!r}")
try:
value = float(current) # type: ignore[arg-type]
except (TypeError, ValueError) as exc:
- raise ResultParseError(
- f"value at '{key_path}' is not numeric: {current!r}"
- ) from exc
+ raise ResultParseError(f"value at '{key_path}' is not numeric: {current!r}") from exc
if math.isnan(value) or math.isinf(value):
- raise ResultParseError(
- f"value at '{key_path}' is not finite: {current!r}"
- )
+ raise ResultParseError(f"value at '{key_path}' is not finite: {current!r}")
return value
@@ -124,47 +117,10 @@ def save_run_summary(run_dir: Path, summary: dict) -> None:
log.debug("run_summary_saved", path=str(path))
-def load_run_summary(run_dir: Path) -> dict | None:
- """Load ``summary.json`` from the given run directory, or return None."""
- path = run_dir / "summary.json"
- if not path.exists():
- return None
- try:
- return json.loads(path.read_text())
- except json.JSONDecodeError:
- log.warning("corrupt_summary_json", path=str(path))
- return None
-
-
-def list_runs(project_path: Path) -> list[Path]:
- """List all run directories sorted by name."""
- runs_dir = project_path / ".factory" / "research" / "runs"
- if not runs_dir.exists():
- return []
- return sorted(p for p in runs_dir.iterdir() if p.is_dir())
-
-
-def write_comparison(
- project_path: Path, current_id: str, previous_id: str, comparison: str
-) -> None:
- """Write a comparison report between two runs."""
- research_dir = ensure_research_dir(project_path)
- path = research_dir / f"comparison_{previous_id}_vs_{current_id}.md"
- path.write_text(comparison)
- log.debug(
- "comparison_written",
- path=str(path),
- current=current_id,
- previous=previous_id,
- )
-
-
# ── run execution ────────────────────────────────────────────────
-async def execute_run(
- project_path: Path, config: ResearchTarget, cycle_id: str
-) -> RunResult:
+async def execute_run(project_path: Path, config: ResearchTarget, cycle_id: str) -> RunResult:
"""Execute the run_command from config and return a RunResult."""
run_dir = create_run_dir(project_path, cycle_id)
log.info(
@@ -294,13 +250,16 @@ def _save_artifacts(run_dir: Path, result: RunResult, config: ResearchTarget) ->
"""Persist stdout, stderr, and summary to the run directory."""
(run_dir / "stdout.log").write_text(result.stdout)
(run_dir / "stderr.log").write_text(result.stderr)
- save_run_summary(run_dir, {
- "status": result.status.value,
- "metric": config.metric,
- "metric_value": result.metric_value,
- "duration_seconds": result.duration_seconds,
- "command": config.run_command,
- })
+ save_run_summary(
+ run_dir,
+ {
+ "status": result.status.value,
+ "metric": config.metric,
+ "metric_value": result.metric_value,
+ "duration_seconds": result.duration_seconds,
+ "command": config.run_command,
+ },
+ )
# ── multi-run aggregation ──────────────────────────────────────
@@ -322,69 +281,3 @@ def aggregate_metric(values: list[float], method: AggregateMethod) -> float:
return max(values)
# ALL_PASS: worst run determines the aggregate
return min(values)
-
-
-async def execute_multi_run(
- project_path: Path,
- config: ResearchTarget,
- cycle_id: str,
- inner_loop: InnerLoopConfig,
-) -> dict:
- """Execute the run_command N times, aggregate metrics, return extended summary.
-
- Returns a dict with top-level ``metric_value`` (aggregate), ``aggregate``
- method name, and a ``runs`` array with per-run details.
- """
- n = inner_loop.runs_per_cycle
- if inner_loop.max_inner_runs_per_cycle is not None:
- n = min(n, inner_loop.max_inner_runs_per_cycle)
-
- runs: list[dict] = []
- values: list[float] = []
- total_duration = 0.0
-
- for i in range(1, n + 1):
- sub_cycle = f"{cycle_id}-run{i}"
- log.info("multi_run_start", run=i, total=n, sub_cycle=sub_cycle)
- result = await execute_run(project_path, config, sub_cycle)
- run_entry = {
- "run_id": i,
- "metric_value": result.metric_value,
- "duration_seconds": result.duration_seconds,
- "status": result.status.value,
- }
- runs.append(run_entry)
- total_duration += result.duration_seconds
- if result.status == RunStatus.PASS:
- values.append(result.metric_value)
-
- agg_value = aggregate_metric(values, inner_loop.aggregate) if values else 0.0
-
- if inner_loop.aggregate == AggregateMethod.all_pass:
- status = "PASS" if len(values) == n else "FAIL"
- else:
- status = "PASS" if values else "FAIL"
-
- summary = {
- "status": status,
- "metric": config.metric,
- "metric_value": agg_value,
- "aggregate": inner_loop.aggregate.value,
- "runs": runs,
- "duration_seconds": total_duration,
- "command": config.run_command,
- }
-
- run_dir = create_run_dir(project_path, cycle_id)
- save_run_summary(run_dir, summary)
-
- log.info(
- "multi_run_complete",
- cycle_id=cycle_id,
- runs_total=n,
- runs_passed=len(values),
- aggregate=inner_loop.aggregate.value,
- metric_value=agg_value,
- )
- return summary
-
diff --git a/factory/research_index.py b/factory/research_index.py
index 7164d0bc7..75e2eaf70 100644
--- a/factory/research_index.py
+++ b/factory/research_index.py
@@ -51,11 +51,13 @@ def backfill_citations(project_path: Path) -> dict[str, list[str]]:
reader = csv.DictReader(f, dialect="excel-tab")
for row in reader:
exp_id = row["id"]
- text = " ".join([
- row.get("hypothesis", ""),
- row.get("change_summary", ""),
- row.get("notes", ""),
- ])
+ text = " ".join(
+ [
+ row.get("hypothesis", ""),
+ row.get("change_summary", ""),
+ row.get("notes", ""),
+ ]
+ )
citations = extract_citations(text)
if citations:
index[exp_id] = citations
@@ -121,14 +123,3 @@ def citation_coverage(project_path: Path) -> float:
coverage=coverage,
)
return coverage
-
-
-def uncited_experiments(project_path: Path) -> list[int]:
- """Return experiment IDs without citations from recent history (last 10)."""
- all_rows = _load_citations_from_tsv(project_path)
- if not all_rows:
- return []
- recent = all_rows[-10:]
- uncited = [exp_id for exp_id, citations in recent if not citations]
- log.debug("uncited_experiments_found", count=len(uncited))
- return uncited
diff --git a/factory/review.py b/factory/review.py
index 9e30b5143..5b69cddf1 100644
--- a/factory/review.py
+++ b/factory/review.py
@@ -22,6 +22,7 @@ class ReviewPayload:
guard_results: dict[str, str] # {check_name: "PASS" | "FAIL"}
precheck_summary: str
code_notes: list[str]
+ qa_body: str = ""
experiment_id: int | None = None
hypothesis: str = ""
@@ -90,6 +91,12 @@ def format_review(payload: ReviewPayload) -> str:
lines.append(f"- {note}")
lines.append("")
+ if payload.qa_body:
+ lines.append("### QA Analysis")
+ lines.append("")
+ lines.append(payload.qa_body)
+ lines.append("")
+
lines.append("---")
lines.append("*Posted by Factory CEO*")
@@ -151,6 +158,8 @@ def post_review(
if result.returncode == 0:
log.info("post_review_success", pr=pr_number)
+ if verdict == "KEEP":
+ mark_pr_ready(pr_number, repo=repo)
return True
log.warning(
@@ -160,7 +169,37 @@ def post_review(
)
if _post_comment(pr_number, review_body, repo=repo):
log.info("post_review_comment_success", pr=pr_number)
+ if verdict == "KEEP":
+ mark_pr_ready(pr_number, repo=repo)
return True
log.error("post_review_comment_failed", pr=pr_number)
return False
+
+
+def mark_pr_ready(pr_number: int, repo: str | None = None) -> bool:
+ """Mark a draft PR as ready for review using gh CLI.
+
+ Idempotent — calling on an already-ready PR is a no-op (gh returns 0).
+ """
+ cmd = ["gh", "pr", "ready", str(pr_number)]
+ if repo:
+ cmd.extend(["--repo", repo])
+
+ log.info("mark_pr_ready", pr=pr_number, repo=repo)
+
+ try:
+ result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
+ except subprocess.TimeoutExpired:
+ log.warning("mark_pr_ready_timeout", pr=pr_number)
+ return False
+ except FileNotFoundError:
+ log.warning("mark_pr_ready_gh_not_found")
+ return False
+
+ if result.returncode == 0:
+ log.info("mark_pr_ready_success", pr=pr_number)
+ return True
+
+ log.warning("mark_pr_ready_failed", pr=pr_number, stderr=result.stderr[:200])
+ return False
diff --git a/factory/runners/__init__.py b/factory/runners/__init__.py
index 46d31df72..4747387cd 100644
--- a/factory/runners/__init__.py
+++ b/factory/runners/__init__.py
@@ -1,14 +1,11 @@
-"""Runner abstraction layer for CLI backends (claude, bob, etc.)."""
+"""Runner abstraction layer for CLI backends."""
from __future__ import annotations
from pathlib import Path
from factory.runners._stream import should_stream, stream_subprocess
-from factory.runners.bob import BobRunner, is_dry_run
from factory.runners.claude import ClaudeRunner
-from factory.runners.codex import CodexRunner, is_codex_dry_run
-from factory.runners.opencode import OpenCodeRunner, is_opencode_dry_run
from factory.runners.protocol import Runner, RunnerMeta
import structlog
@@ -19,24 +16,15 @@
"Runner",
"RunnerMeta",
"ClaudeRunner",
- "BobRunner",
- "CodexRunner",
- "OpenCodeRunner",
"get_runner",
"get_available_runners",
"get_runner_choices",
- "is_dry_run",
- "is_codex_dry_run",
- "is_opencode_dry_run",
"should_stream",
"stream_subprocess",
]
_RUNNERS: dict[str, type[Runner]] = {
"claude": ClaudeRunner, # type: ignore[dict-item]
- "bob": BobRunner, # type: ignore[dict-item]
- "codex": CodexRunner, # type: ignore[dict-item]
- "opencode": OpenCodeRunner, # type: ignore[dict-item]
}
@@ -58,15 +46,15 @@ def get_runner(name: str | None = None, project_path: Path | None = None) -> Run
_load_entrypoint_runners()
- resolved = resolve("runner", cli_value=name, env_var="FACTORY_RUNNER", default="claude") or "claude"
+ resolved = (
+ resolve("runner", cli_value=name, env_var="FACTORY_RUNNER", default="claude") or "claude"
+ )
resolved = resolved.lower().strip()
if resolved not in _RUNNERS:
available = ", ".join(_RUNNERS.keys())
raise ValueError(f"Unknown runner '{resolved}'. Available: {available}")
- if resolved == "bob":
- return BobRunner(project_path=project_path)
return _RUNNERS[resolved]()
@@ -86,11 +74,6 @@ def get_all_runner_meta() -> list[RunnerMeta]:
return result
-def register_runner(name: str, runner_class: type[Runner]) -> None:
- """Register a runner implementation."""
- _RUNNERS[name] = runner_class
-
-
_entrypoints_loaded = False
diff --git a/factory/runners/_background.py b/factory/runners/_background.py
index cd8ecc77a..2dc6aec94 100644
--- a/factory/runners/_background.py
+++ b/factory/runners/_background.py
@@ -76,6 +76,7 @@ async def run_in_background(
cmd = [
"claude", "--bg", "--name", session_name,
"--append-system-prompt-file", prompt_path, "-p", task,
+ "--disallowedTools", "Agent",
]
if dangerously_skip_permissions:
cmd.append("--dangerously-skip-permissions")
@@ -86,6 +87,7 @@ async def run_in_background(
env = dict(os.environ)
env["FACTORY_BG"] = "1"
+ env["PROJECT_PATH"] = str(Path(cwd).resolve())
try:
result = subprocess.run(
diff --git a/factory/runners/_stream.py b/factory/runners/_stream.py
index 8c9bdf5a5..1d41a8c5b 100644
--- a/factory/runners/_stream.py
+++ b/factory/runners/_stream.py
@@ -47,8 +47,10 @@
def strip_ansi(data: bytes) -> bytes:
- r"""Remove ANSI/VT escape sequences. Leaves \r, \n and plain text intact."""
- return _ANSI_ESCAPE_RE.sub(b"", data)
+ r"""Remove ANSI/VT escape sequences and bare carriage returns."""
+ data = _ANSI_ESCAPE_RE.sub(b"", data)
+ data = data.replace(b"\r\n", b"\n").replace(b"\r", b"")
+ return data
def should_stream() -> bool:
@@ -86,7 +88,7 @@ async def tee_stream(
dest: Destination file-like object (e.g., sys.stdout.buffer).
buffer: List to collect all bytes read.
stream: If True, write to dest as data arrives. If False, only buffer.
- prefix: Optional prefix to prepend to each line (e.g., b"[bob:researcher] ").
+ prefix: Optional prefix to prepend to each line (e.g., b"[claude:researcher] ").
sanitize: If True, strip ANSI/VT escape sequences from the bytes written to
dest. The buffer always receives the raw line, never sanitized. Lines
that contained ONLY escape sequences (empty after stripping, modulo
@@ -152,7 +154,7 @@ async def stream_subprocess(
Args:
proc: The subprocess with PIPE for stdout and stderr.
stream: If True, stream to sys.stdout/stderr. If False, only collect.
- prefix: Optional prefix for each line (e.g., "[bob:researcher]").
+ prefix: Optional prefix for each line (e.g., "[claude:researcher]").
sanitize: If True, strip ANSI/VT escape sequences from the bytes written to
the terminal (both stdout and stderr). The returned buffers stay raw.
inactivity_timeout: If set, kill the subprocess after this many seconds
diff --git a/factory/runners/_subprocess.py b/factory/runners/_subprocess.py
index 27de9bfba..5e3bdee04 100644
--- a/factory/runners/_subprocess.py
+++ b/factory/runners/_subprocess.py
@@ -38,7 +38,7 @@ async def run_subprocess(
runner_name: str,
role: str,
sanitize: bool = False,
- max_timeout: float = 3600.0,
+ max_timeout: float = 14400.0,
on_line: Callable[[bytes], None] | None = None,
) -> AgentRunResult:
"""Run a subprocess with streaming, timeout, and error handling.
diff --git a/factory/runners/_tmux_persist.py b/factory/runners/_tmux_persist.py
index 209d1193f..306219c3d 100644
--- a/factory/runners/_tmux_persist.py
+++ b/factory/runners/_tmux_persist.py
@@ -169,7 +169,8 @@ async def run_in_tmux(
settings_file = _generate_settings(sentinel_file, tmpdir, project_path)
- cmd = ["claude", "--settings", str(settings_file), "--append-system-prompt-file", str(prompt_file)]
+ cmd = ["claude", "--settings", str(settings_file), "--append-system-prompt-file", str(prompt_file),
+ "--disallowedTools", "Agent"]
if dangerously_skip_permissions:
cmd.append("--dangerously-skip-permissions")
if model:
@@ -185,28 +186,28 @@ async def run_in_tmux(
sentinel_q = shlex.quote(str(sentinel_file))
exitcode_q = shlex.quote(str(exitcode_file))
+ project_path_q = shlex.quote(str(cwd.resolve()))
wrapper_script.write_text(
"#!/bin/bash\n"
+ f"export PROJECT_PATH={project_path_q}\n"
f"cleanup() {{ local rc=$?; echo $rc > {exitcode_q}; touch {sentinel_q}; }}\n"
"trap cleanup EXIT\n"
f"{script_line}"
)
wrapper_script.chmod(0o755)
- has_session = _session_exists(session)
- if has_session:
+ result = subprocess.run(
+ ["tmux", "new-session", "-d", "-s", session, "-n", window,
+ "-x", "200", "-y", "50", str(wrapper_script)],
+ cwd=cwd,
+ capture_output=True,
+ )
+ if result.returncode != 0:
result = subprocess.run(
["tmux", "new-window", "-t", session, "-n", window, str(wrapper_script)],
cwd=cwd,
capture_output=True,
)
- else:
- result = subprocess.run(
- ["tmux", "new-session", "-d", "-s", session, "-n", window,
- "-x", "200", "-y", "50", str(wrapper_script)],
- cwd=cwd,
- capture_output=True,
- )
if result.returncode != 0:
logger.warning("Failed to create tmux window for %s: %s", role, result.stderr.decode()[:200])
@@ -230,7 +231,7 @@ async def run_in_tmux(
return f"Agent timed out after {timeout}s", 1, None
subprocess.run(
- ["tmux", "send-keys", "-t", f"{session}:{window}", "/exit", "Enter"],
+ ["tmux", "send-keys", "-t", f"{session}:{window}", "/exit", "C-m"],
capture_output=True,
)
await _wait_for_window_exit(session, window)
diff --git a/factory/runners/bob.py b/factory/runners/bob.py
deleted file mode 100644
index 33bf414a8..000000000
--- a/factory/runners/bob.py
+++ /dev/null
@@ -1,316 +0,0 @@
-"""BobRunner — Bob Shell CLI backend implementation."""
-
-from __future__ import annotations
-
-import os
-import shutil
-import subprocess as _subprocess
-import time
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import structlog
-
-from factory.runners._subprocess import run_subprocess
-from factory.runners.usage import (
- CeilingExceededError,
- check_ceilings,
- log_usage,
-)
-
-if TYPE_CHECKING:
- from factory.models import AgentRunRequest, AgentRunResult
- from factory.runners.protocol import RunnerMeta
-
-log = structlog.get_logger()
-
-_auth_checked = False
-
-_AUTH_FILE_NAME = ".bob_auth"
-
-
-class BobAuthError(Exception):
- """Raised when BOBSHELL_API_KEY is not set."""
-
- def __init__(self) -> None:
- super().__init__(
- "BOBSHELL_API_KEY environment variable is not set. "
- "See bob-runner-package/bob-shell-docs/README.md for setup instructions."
- )
-
-
-def _find_auth_file(start_path: Path) -> Path | None:
- """Search for the auth file starting from start_path and walking up."""
- path = start_path.resolve()
- while path != path.parent:
- auth_file = path / ".factory" / _AUTH_FILE_NAME
- if auth_file.is_file():
- return auth_file
- path = path.parent
- return None
-
-
-def _persist_key(project_path: Path) -> None:
- """Persist BOBSHELL_API_KEY to a file for nested subagent spawns."""
- key = os.environ.get("BOBSHELL_API_KEY")
- if not key:
- return
-
- factory_dir = project_path / ".factory"
- if not factory_dir.is_dir():
- return
-
- auth_file = factory_dir / _AUTH_FILE_NAME
- try:
- auth_file.write_text(key)
- auth_file.chmod(0o600)
- log.debug("bob_key_persisted", path=str(auth_file))
- except OSError as e:
- log.warning("bob_key_persist_failed", error=str(e))
-
-
-def _check_auth(start_path: Path | None = None) -> None:
- """Check that BOBSHELL_API_KEY is set (once per process)."""
- global _auth_checked
- if _auth_checked:
- return
-
- if os.environ.get("BOBSHELL_API_KEY"):
- _auth_checked = True
- return
-
- search_from = start_path if start_path is not None else Path.cwd()
- auth_file = _find_auth_file(search_from)
- if auth_file:
- try:
- key = auth_file.read_text().strip()
- if key:
- os.environ["BOBSHELL_API_KEY"] = key
- log.info("bob_key_loaded", path=str(auth_file))
- _auth_checked = True
- return
- except OSError as e:
- log.warning("bob_auth_file_read_failed", path=str(auth_file), error=str(e))
-
- bob_config = Path.home() / ".bob" / "settings.json"
- if bob_config.is_file():
- log.info("bob_native_auth_detected", path=str(bob_config))
- _auth_checked = True
- return
-
- raise BobAuthError()
-
-
-def _has_bob_auth() -> bool:
- """Check if Bob auth is available via any supported method."""
- if os.environ.get("BOBSHELL_API_KEY"):
- return True
- auth_file = _find_auth_file(Path.cwd())
- if auth_file is not None:
- try:
- if auth_file.read_text().strip():
- return True
- except OSError:
- pass
- bob_config = Path.home() / ".bob" / "settings.json"
- return bob_config.is_file()
-
-
-def is_dry_run() -> bool:
- """Return True if dry-run mode is enabled."""
- from factory.user_config import resolve
-
- val = resolve("bob_dry_run", env_var="FACTORY_BOB_DRY_RUN") or ""
- return val.lower() in ("1", "true", "yes")
-
-
-def _get_bob_bin_dir() -> str | None:
- """Find the directory containing the bob binary."""
- bob_path = shutil.which("bob")
- if bob_path:
- return str(Path(bob_path).parent)
- return None
-
-
-def _make_env_with_bob_path() -> dict[str, str]:
- """Create environment dict with bob's bin directory prepended to PATH."""
- env = dict(os.environ)
- bob_bin_dir = _get_bob_bin_dir()
- if bob_bin_dir:
- current_path = env.get("PATH", "")
- if not current_path.startswith(bob_bin_dir):
- env["PATH"] = f"{bob_bin_dir}:{current_path}"
- log.debug("bob_path_prepended", dir=bob_bin_dir)
- return env
-
-
-_BOB_CHAT_MODE = "code"
-
-
-class BobRunner:
- """Runner implementation for Bob Shell CLI."""
-
- name: str = "bob"
-
- @classmethod
- def metadata(cls) -> RunnerMeta:
- from factory.runners.protocol import RunnerMeta
- return RunnerMeta(
- name="bob",
- display_name="Bob Shell",
- binary="bob",
- install_hint="npm install -g bob-shell",
- required_env_vars=["BOBSHELL_API_KEY"],
- supports_model_override=False,
- supports_usage_telemetry=False,
- supports_session_name=False,
- custom_auth_check=_has_bob_auth,
- )
-
- def __init__(
- self,
- cycle_start: datetime | None = None,
- project_path: Path | None = None,
- ) -> None:
- if cycle_start is not None:
- self.cycle_start = cycle_start
- elif project_path is not None:
- from factory.ceo_completion import read_cycle_state
-
- state = read_cycle_state(project_path)
- self.cycle_start = state.started_at if state else datetime.now(timezone.utc)
- else:
- self.cycle_start = datetime.now(timezone.utc)
- self._role: str = "unknown"
-
- def build_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the Bob Shell CLI command and env dict."""
- chat_mode = _BOB_CHAT_MODE
- full_task = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = ["bob", "-p", full_task, f"--chat-mode={chat_mode}"]
- if request.skip_permissions:
- cmd.append("--yolo")
-
- env = _make_env_with_bob_path()
- return cmd, env, []
-
- async def headless(self, request: AgentRunRequest) -> AgentRunResult:
- """Run a headless Bob Shell invocation."""
- from factory.models import AgentRunResult
-
- tmux_persist = request.extras.get("tmux_persist", False)
- if tmux_persist:
- return AgentRunResult(
- stdout="Error: --tmux-persist is not supported with the bob runner. Use --runner claude.",
- return_code=1,
- )
- background = request.extras.get("background", False)
- if background:
- log.warning("bob_bg_not_supported", hint="--bg is a claude-only feature")
- self._role = request.role
- project_path = request.project_path or self._find_project_path(request.cwd)
-
- _persist_key(project_path)
-
- if is_dry_run():
- from factory.runners._subprocess import make_dry_run_result
- result = make_dry_run_result("bob", request.role, request.cwd, request.task)
- log_usage(project_path, request.role, request.cwd, 0.0, 0, dry_run=True)
- return result
-
- _check_auth(request.cwd)
-
- try:
- check_ceilings(project_path, self.cycle_start)
- except CeilingExceededError as e:
- self._emit_ceiling_event(project_path, e)
- return AgentRunResult(stdout=str(e), return_code=1)
-
- cmd, env, _ = self.build_command(request)
-
- log.info("bob_headless", cwd=str(request.cwd), role=request.role, chat_mode=_BOB_CHAT_MODE)
-
- start_time = time.monotonic()
-
- result = await run_subprocess(
- cmd, cwd=str(request.cwd), env=env,
- timeout=request.timeout, runner_name="bob", role=request.role,
- sanitize=True,
- )
-
- duration = time.monotonic() - start_time
- log_usage(project_path, request.role, request.cwd, duration, result.return_code, dry_run=False)
-
- return result
-
- def build_interactive_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the CLI command, env dict, and temp files for an interactive invocation."""
- chat_mode = _BOB_CHAT_MODE
- full_task = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = [
- "bob",
- f"--chat-mode={chat_mode}",
- "-i", full_task,
- ]
- if request.skip_permissions:
- cmd.append("--yolo")
-
- env = _make_env_with_bob_path()
- return cmd, env, []
-
- def interactive_run(self, request: AgentRunRequest) -> int:
- """Run an interactive Bob Shell session as a subprocess."""
- project_path = request.project_path or self._find_project_path(request.cwd)
-
- _persist_key(project_path)
-
- if is_dry_run():
- yolo_flag = " --yolo" if request.skip_permissions else ""
- print(f"[DRY-RUN] Would run: bob --chat-mode=factory-{request.role}{yolo_flag}")
- print(f"[DRY-RUN] Task: {request.task[:200]}...")
- return 0
-
- _check_auth(request.cwd)
-
- try:
- check_ceilings(project_path, self.cycle_start)
- except CeilingExceededError as e:
- print(f"ERROR: {e}")
- return 1
-
- cmd, env, _ = self.build_interactive_command(request)
-
- log.info("bob_interactive", cwd=str(request.cwd), chat_mode=_BOB_CHAT_MODE)
-
- result = _subprocess.run(cmd, cwd=request.cwd, env=env)
- return result.returncode
-
- def _find_project_path(self, cwd: Path) -> Path:
- """Find the project root (directory containing .factory/)."""
- path = cwd.resolve()
- while path != path.parent:
- if (path / ".factory").is_dir():
- return path
- path = path.parent
- return cwd.resolve()
-
- def _emit_ceiling_event(self, project_path: Path, error: CeilingExceededError) -> None:
- """Emit a structured event when a ceiling is hit."""
- try:
- from factory.events import emit_event
-
- emit_event(
- project_path,
- "bob.ceiling_exceeded",
- data={
- "ceiling": error.ceiling_name,
- "current": error.current,
- "limit": error.limit,
- "env_var": error.env_var,
- },
- )
- except Exception:
- log.debug("bob_ceiling_event_failed", exc_info=True)
diff --git a/factory/runners/claude.py b/factory/runners/claude.py
index 43bb07e9a..290ade6d3 100644
--- a/factory/runners/claude.py
+++ b/factory/runners/claude.py
@@ -81,6 +81,7 @@ class ClaudeRunner:
@classmethod
def metadata(cls) -> RunnerMeta:
from factory.runners.protocol import RunnerMeta
+
return RunnerMeta(
name="claude",
display_name="Claude Code",
@@ -88,34 +89,55 @@ def metadata(cls) -> RunnerMeta:
install_hint="npm install -g @anthropic-ai/claude-code",
supports_usage_telemetry=True,
supports_session_name=True,
+ supports_session_resume=True,
supports_background=True,
)
- def build_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
+ def build_command(
+ self, request: AgentRunRequest
+ ) -> tuple[list[str], dict[str, str], list[Path]]:
"""Build the Claude CLI command, env dict, and temp files."""
prompt_file = tempfile.NamedTemporaryFile(
- mode="w", suffix=".md", prefix="factory-prompt-", delete=False,
+ mode="w",
+ suffix=".md",
+ prefix="factory-prompt-",
+ delete=False,
)
prompt_file.write(request.prompt)
prompt_file.close()
prompt_path = Path(prompt_file.name)
cmd = [
- "claude", "--append-system-prompt-file", prompt_file.name,
- "-p", request.task,
- "--output-format", "stream-json",
+ "claude",
+ "--append-system-prompt-file",
+ prompt_file.name,
+ "-p",
+ request.task,
+ "--output-format",
+ "stream-json",
"--verbose",
+ "--disallowedTools",
+ "Agent",
]
+ settings_file = request.extras.get("settings_file")
+ if settings_file:
+ cmd.extend(["--settings", str(settings_file)])
if request.skip_permissions:
cmd.append("--dangerously-skip-permissions")
if request.model:
cmd.extend(["--model", request.model])
if request.session_name:
cmd.extend(["--name", request.session_name])
+ if request.resume_session_id:
+ cmd.extend(["--resume", request.resume_session_id])
+ elif request.session_id:
+ cmd.extend(["--session-id", request.session_id])
env = {k: v for k, v in os.environ.items() if k != "VIRTUAL_ENV"}
if request.model:
env["FACTORY_MODEL"] = request.model
+ if request.cwd:
+ env["PROJECT_PATH"] = str(Path(request.cwd).resolve())
return cmd, env, [prompt_path]
@@ -128,7 +150,10 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
from factory.runners._background import run_in_background
stdout, rc, usage = await run_in_background(
- request.prompt, request.task, request.cwd, request.role,
+ request.prompt,
+ request.task,
+ request.cwd,
+ request.role,
timeout=request.timeout,
model=request.model,
dangerously_skip_permissions=request.skip_permissions,
@@ -141,7 +166,10 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
if tmux_available():
stdout, rc, usage = await run_in_tmux(
- request.prompt, request.task, request.cwd, request.role,
+ request.prompt,
+ request.task,
+ request.cwd,
+ request.role,
find_project_path(request.cwd),
model=request.model,
dangerously_skip_permissions=request.skip_permissions,
@@ -150,6 +178,7 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
log.warning("tmux_not_available")
cmd, env, temp_files = self.build_command(request)
+ env["TELEMETRY_PLATFORM"] = ""
try:
log.info("claude_headless", cwd=str(request.cwd), model=request.model)
@@ -158,9 +187,14 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
on_line = _make_ceo_message_emitter(request.project_path)
result = await run_subprocess(
- cmd, cwd=str(request.cwd), env=env,
- timeout=request.timeout, runner_name="claude", role=request.role,
+ cmd,
+ cwd=str(request.cwd),
+ env=env,
+ timeout=request.timeout,
+ runner_name="claude",
+ role=request.role,
on_line=on_line,
+ sanitize=True,
)
usage = None
@@ -184,8 +218,16 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
result_value = data.get("result", result.stdout)
result_text = result_value if isinstance(result_value, str) else result.stdout
usage = _parse_usage(data)
- for key in ("session_id", "uuid", "stop_reason", "terminal_reason",
- "duration_api_ms", "ttft_ms", "is_error", "subtype"):
+ for key in (
+ "session_id",
+ "uuid",
+ "stop_reason",
+ "terminal_reason",
+ "duration_api_ms",
+ "ttft_ms",
+ "is_error",
+ "subtype",
+ ):
metadata[key] = data.get(key)
metadata["model_usage"] = data.get("modelUsage")
metadata["permission_denials"] = data.get("permission_denials")
@@ -200,19 +242,62 @@ async def headless(self, request: AgentRunRequest) -> AgentRunResult:
for f in temp_files:
f.unlink(missing_ok=True)
- def build_interactive_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
+ def build_interactive_command(
+ self, request: AgentRunRequest
+ ) -> tuple[list[str], dict[str, str], list[Path]]:
"""Build the CLI command, env dict, and temp files for an interactive invocation."""
prompt_file = tempfile.NamedTemporaryFile(
- mode="w", suffix=".md", prefix="factory-prompt-", delete=False,
+ mode="w",
+ suffix=".md",
+ prefix="factory-prompt-",
+ delete=False,
)
prompt_file.write(request.prompt)
prompt_file.close()
prompt_path = Path(prompt_file.name)
+ temp_files: list[Path] = [prompt_path]
+
+ # Write a slim CEO identity to .claude/CLAUDE.md so it survives session
+ # transitions (background via ←, resume, daemon restart). The full prompt
+ # is delivered via --append-system-prompt-file; CLAUDE.md only needs enough
+ # to re-orient the CEO on resume.
+ cwd = Path(request.cwd)
+ claude_dir = cwd / ".claude"
+ claude_dir.mkdir(parents=True, exist_ok=True)
+
+ claude_md_path = claude_dir / "CLAUDE.md"
+ backup_path = claude_dir / "CLAUDE.md.factory-backup"
+ if claude_md_path.exists():
+ import shutil
+
+ shutil.copy2(claude_md_path, backup_path)
+
+ claude_md_content = request.prompt_core if request.prompt_core else request.prompt
+ claude_md_path.write_text(claude_md_content)
+ temp_files.append(claude_md_path)
+
+ # Write disallowedTools to settings.local.json so it survives session
+ # transitions (CLI flags are not carried over on background/resume).
+ settings_path = claude_dir / "settings.local.json"
+ settings: dict[str, object] = {}
+ if settings_path.exists():
+ try:
+ settings = json.loads(settings_path.read_text())
+ except (json.JSONDecodeError, ValueError):
+ settings = {}
+ settings["disallowedTools"] = ["Agent"]
+ settings_path.write_text(json.dumps(settings, indent=2) + "\n")
+ temp_files.append(settings_path)
+
cmd = [
"claude",
- "--append-system-prompt-file", prompt_file.name,
+ "--append-system-prompt-file",
+ prompt_file.name,
]
+ settings_file = request.extras.get("settings_file")
+ if settings_file:
+ cmd.extend(["--settings", str(settings_file)])
if request.skip_permissions:
cmd.append("--dangerously-skip-permissions")
cmd.append(request.task)
@@ -220,20 +305,39 @@ def build_interactive_command(self, request: AgentRunRequest) -> tuple[list[str]
cmd.extend(["--model", request.model])
if request.session_name:
cmd.extend(["--name", request.session_name])
+ if request.resume_session_id:
+ cmd.extend(["--resume", request.resume_session_id])
+ elif request.session_id:
+ cmd.extend(["--session-id", request.session_id])
env = {k: v for k, v in os.environ.items() if k != "VIRTUAL_ENV"}
if request.model:
env["FACTORY_MODEL"] = request.model
+ if request.cwd:
+ env["PROJECT_PATH"] = str(Path(request.cwd).resolve())
- return cmd, env, [prompt_path]
+ return cmd, env, temp_files
def interactive_run(self, request: AgentRunRequest) -> int:
"""Run an interactive Claude Code session as a subprocess."""
cmd, env, temp_files = self.build_interactive_command(request)
+ if not env.get("FACTORY_TRACE_ID"):
+ env["TELEMETRY_PLATFORM"] = ""
+ cwd = Path(request.cwd)
+ backup_path = cwd / ".claude" / "CLAUDE.md.factory-backup"
+ claude_md_path = cwd / ".claude" / "CLAUDE.md"
try:
log.info("claude_interactive", cwd=str(request.cwd))
result = subprocess.run(cmd, cwd=request.cwd, env=env)
return result.returncode
finally:
for f in temp_files:
+ if f == claude_md_path:
+ continue
f.unlink(missing_ok=True)
+ if backup_path.exists():
+ import shutil
+
+ shutil.move(str(backup_path), str(claude_md_path))
+ else:
+ claude_md_path.unlink(missing_ok=True)
diff --git a/factory/runners/codex.py b/factory/runners/codex.py
deleted file mode 100644
index 65b9a93d9..000000000
--- a/factory/runners/codex.py
+++ /dev/null
@@ -1,219 +0,0 @@
-"""CodexRunner — OpenAI Codex CLI backend implementation."""
-
-from __future__ import annotations
-
-import asyncio
-import os
-import subprocess
-import tempfile
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import structlog
-
-from factory.runners._subprocess import run_subprocess
-
-if TYPE_CHECKING:
- from factory.models import AgentRunRequest, AgentRunResult
- from factory.runners.protocol import RunnerMeta
-
-log = structlog.get_logger()
-
-_auth_checked = False
-
-
-class CodexAuthError(Exception):
- """Raised when neither CODEX_API_KEY nor OPENAI_API_KEY is set."""
-
- def __init__(self) -> None:
- super().__init__(
- "CODEX_API_KEY (or OPENAI_API_KEY) environment variable is not set. "
- "Set it directly or add it to a config.toml credential profile: "
- "[credentials.codex] CODEX_API_KEY = \"...\""
- )
-
-
-def _has_codex_oauth() -> bool:
- """Check if Codex has OAuth credentials in its default config."""
- auth_file = Path.home() / ".codex" / "auth.json"
- return auth_file.is_file()
-
-
-def _using_api_key() -> bool:
- """Return True if an explicit API key is set in the environment."""
- return bool(os.environ.get("CODEX_API_KEY") or os.environ.get("OPENAI_API_KEY"))
-
-
-def _check_auth() -> None:
- """Check that Codex auth is available (OAuth preferred, then API key)."""
- global _auth_checked # noqa: PLW0603
- if _auth_checked:
- return
- if _has_codex_oauth():
- log.info("codex_oauth_detected")
- _auth_checked = True
- return
- if _using_api_key():
- _auth_checked = True
- return
- raise CodexAuthError()
-
-
-def _make_codex_env() -> tuple[dict[str, str], tempfile.TemporaryDirectory[str] | None]:
- """Build subprocess env with auth isolation.
-
- OAuth is preferred when ~/.codex/auth.json exists — OPENAI_API_KEY is
- stripped from the env so Codex doesn't switch to API key mode (which
- can cause 401 errors when the key lacks Responses API scopes).
-
- In API key mode, sets CODEX_HOME to a temp dir to avoid stale OAuth.
-
- Returns (env_dict, tmpdir_handle_or_None) — caller must keep tmpdir_handle
- alive until the subprocess exits, then call .cleanup() if not None.
- """
- env = {k: v for k, v in os.environ.items() if k != "VIRTUAL_ENV"}
-
- if _has_codex_oauth():
- env.pop("OPENAI_API_KEY", None)
- env.pop("CODEX_API_KEY", None)
- return env, None
-
- if "OPENAI_API_KEY" not in env and "CODEX_API_KEY" in env:
- env["OPENAI_API_KEY"] = env["CODEX_API_KEY"]
-
- if _using_api_key():
- tmpdir = tempfile.TemporaryDirectory(prefix="factory-codex-")
- env["CODEX_HOME"] = tmpdir.name
- return env, tmpdir
-
- return env, None
-
-
-def is_codex_dry_run() -> bool:
- """Return True if Codex dry-run mode is enabled."""
- from factory.user_config import resolve
-
- val = resolve("codex_dry_run", env_var="FACTORY_CODEX_DRY_RUN") or ""
- return val.lower() in ("1", "true", "yes")
-
-
-class CodexRunner:
- """Runner implementation for OpenAI Codex CLI."""
-
- name: str = "codex"
-
- @classmethod
- def metadata(cls) -> RunnerMeta:
- from factory.runners.protocol import RunnerMeta
- return RunnerMeta(
- name="codex",
- display_name="OpenAI Codex",
- binary="codex",
- install_hint="npm install -g @openai/codex",
- required_env_vars=["OPENAI_API_KEY"],
- supports_usage_telemetry=False,
- supports_session_name=False,
- )
-
- def build_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the Codex CLI command, env dict, and temp files."""
- full_prompt = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = ["codex", "exec"]
-
- if _using_api_key():
- cmd.append("--ignore-user-config")
-
- if request.skip_permissions:
- cmd.extend(["--sandbox", "workspace-write"])
-
- if request.model:
- cmd.extend(["--model", request.model])
-
- cmd.append("--skip-git-repo-check")
- cmd.extend(["--", full_prompt])
-
- env, tmpdir = _make_codex_env()
- self._tmpdir = tmpdir
- return cmd, env, []
-
- async def headless(self, request: AgentRunRequest) -> AgentRunResult:
- """Run a headless Codex CLI invocation via ``codex exec``."""
- from factory.models import AgentRunResult
-
- tmux_persist = request.extras.get("tmux_persist", False)
- if tmux_persist:
- return AgentRunResult(
- stdout="Error: --tmux-persist is not supported with the codex runner. Use --runner claude.",
- return_code=1,
- )
- background = request.extras.get("background", False)
- if background:
- log.warning("codex_bg_not_supported", hint="--bg is a claude-only feature")
- if is_codex_dry_run():
- from factory.runners._subprocess import make_dry_run_result
- return make_dry_run_result("codex", request.role, request.cwd, request.task)
-
- _check_auth()
-
- cmd, env, _ = self.build_command(request)
-
- log.info("codex_headless", cwd=str(request.cwd), model=request.model, role=request.role)
-
- retried = False
- try:
- result = await run_subprocess(
- cmd, cwd=str(request.cwd), env=env,
- timeout=request.timeout, runner_name="codex", role=request.role,
- )
- stderr = str(result.metadata.get("stderr", ""))
- if "401 Unauthorized" in stderr and not retried:
- retried = True
- log.warning("codex_auth_retry", reason="401 Unauthorized in stderr")
- await asyncio.sleep(2)
- result = await run_subprocess(
- cmd, cwd=str(request.cwd), env=env,
- timeout=request.timeout, runner_name="codex", role=request.role,
- )
- return result
- finally:
- if hasattr(self, "_tmpdir") and self._tmpdir is not None:
- self._tmpdir.cleanup()
-
- def build_interactive_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the CLI command, env dict, and temp files for an interactive invocation."""
- full_prompt = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = ["codex", full_prompt]
-
- if _using_api_key():
- cmd.append("--ignore-user-config")
-
- if request.skip_permissions:
- cmd.append("--full-auto")
-
- if request.model:
- cmd.extend(["--model", request.model])
-
- env, tmpdir = _make_codex_env()
- self._tmpdir = tmpdir
- return cmd, env, []
-
- def interactive_run(self, request: AgentRunRequest) -> int:
- """Run an interactive Codex CLI session as a subprocess."""
- if is_codex_dry_run():
- print("[DRY-RUN] Would exec: codex (interactive)")
- print(f"[DRY-RUN] Task: {request.task[:200]}...")
- return 0
-
- _check_auth()
-
- cmd, env, _ = self.build_interactive_command(request)
- try:
- log.info("codex_interactive", cwd=str(request.cwd))
- result = subprocess.run(cmd, cwd=request.cwd, env=env)
- return result.returncode
- finally:
- if hasattr(self, "_tmpdir") and self._tmpdir is not None:
- self._tmpdir.cleanup()
-
diff --git a/factory/runners/opencode.py b/factory/runners/opencode.py
deleted file mode 100644
index 6fa5a3cd5..000000000
--- a/factory/runners/opencode.py
+++ /dev/null
@@ -1,247 +0,0 @@
-"""OpenCodeRunner — OpenCode CLI backend implementation."""
-
-from __future__ import annotations
-
-import os
-import subprocess
-from pathlib import Path
-from typing import TYPE_CHECKING
-
-import structlog
-
-from factory.runners._subprocess import run_subprocess
-
-if TYPE_CHECKING:
- from factory.models import AgentRunRequest, AgentRunResult
- from factory.runners.protocol import RunnerMeta
-
-log = structlog.get_logger()
-
-_auth_checked = False
-_compat_checked = False
-
-
-class OpenCodeAuthError(Exception):
- """Raised when OPENAI_API_KEY is not set."""
-
- def __init__(self) -> None:
- super().__init__(
- "OPENAI_API_KEY environment variable is not set. "
- "Set it directly or add it to a config.toml credential profile: "
- "[credentials.opencode] OPENAI_API_KEY = \"...\""
- )
-
-
-def _can_source_key_from_shell() -> bool:
- """Check if OPENAI_API_KEY can be sourced from ~/.zshrc."""
- try:
- result = subprocess.run(
- ["zsh", "-c", "source ~/.zshrc 2>/dev/null && echo $OPENAI_API_KEY"],
- capture_output=True, text=True, timeout=5,
- )
- return bool(result.stdout.strip())
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return False
-
-
-def _check_auth() -> None:
- """Check that OPENAI_API_KEY is available (env or shell profile, once per process)."""
- global _auth_checked # noqa: PLW0603
- if _auth_checked:
- return
- _check_binary_compat()
- if os.environ.get("OPENAI_API_KEY"):
- _auth_checked = True
- return
- if _can_source_key_from_shell():
- _auth_checked = True
- return
- raise OpenCodeAuthError()
-
-
-def _check_binary_compat() -> None:
- """Warn if the opencode binary is the npm version instead of the Go version.
-
- The OpenCode runner relies on CLI flags (-p, -c, -q) that only exist in the
- Go binary (go install github.com/opencode-ai/opencode@latest). The npm
- package (opencode-ai) exposes a different CLI that silently ignores these
- flags. We detect the Go binary by running ``opencode version`` and checking
- for output matching ``opencode version v<semver>``.
- """
- global _compat_checked # noqa: PLW0603
- if _compat_checked:
- return
- _compat_checked = True
-
- import re
- import shutil
-
- if not shutil.which("opencode"):
- # Binary not on PATH at all — _find_opencode_bin_dir will handle later.
- return
-
- try:
- result = subprocess.run(
- ["opencode", "version"],
- capture_output=True,
- text=True,
- timeout=10,
- )
- output = (result.stdout or "").strip() + (result.stderr or "").strip()
- # Go binary outputs e.g. "opencode version v0.0.55" or "v0.1.0"
- if re.search(r"v\d+\.\d+\.\d+", output):
- log.debug("opencode_binary_compat_ok", output=output)
- return
- log.warning(
- "opencode_binary_compat_mismatch",
- output=output,
- hint=(
- "The opencode binary does not appear to be the Go version. "
- "The factory OpenCode runner requires the Go binary "
- "(go install github.com/opencode-ai/opencode@latest). "
- "The npm package 'opencode-ai' has a different CLI and will "
- "fail silently. Please install the Go version."
- ),
- )
- except FileNotFoundError:
- pass
- except subprocess.TimeoutExpired:
- log.debug("opencode_version_check_timeout")
-
-
-def _find_opencode_bin_dir() -> str | None:
- """Find the directory containing the opencode binary."""
- import shutil
-
- oc_path = shutil.which("opencode")
- if oc_path:
- return str(Path(oc_path).parent)
- candidates = [
- Path.home() / "go" / "bin",
- Path(os.environ.get("GOPATH", "")) / "bin" if os.environ.get("GOPATH") else None,
- ]
- for d in candidates:
- if d is not None and (d / "opencode").is_file():
- return str(d)
- return None
-
-
-def _prepend_opencode_path(env: dict[str, str]) -> None:
- """Prepend the opencode binary directory to PATH if found."""
- bin_dir = _find_opencode_bin_dir()
- if bin_dir:
- current_path = env.get("PATH", "")
- if not current_path.startswith(bin_dir):
- env["PATH"] = f"{bin_dir}:{current_path}"
- log.debug("opencode_path_prepended", dir=bin_dir)
-
-
-def _source_openai_key_from_shell(env: dict[str, str]) -> None:
- """If OPENAI_API_KEY is missing, try sourcing it from ~/.zshrc into env (not os.environ)."""
- if env.get("OPENAI_API_KEY"):
- return
- try:
- result = subprocess.run(
- ["zsh", "-c", "source ~/.zshrc 2>/dev/null && echo $OPENAI_API_KEY"],
- capture_output=True, text=True, timeout=5,
- )
- key = result.stdout.strip()
- if key:
- env["OPENAI_API_KEY"] = key
- log.debug("openai_key_sourced_from_zshrc")
- except (FileNotFoundError, subprocess.TimeoutExpired):
- pass
-
-
-def is_opencode_dry_run() -> bool:
- """Return True if OpenCode dry-run mode is enabled."""
- from factory.user_config import resolve
-
- val = resolve("opencode_dry_run", env_var="FACTORY_OPENCODE_DRY_RUN") or ""
- return val.lower() in ("1", "true", "yes")
-
-
-class OpenCodeRunner:
- """Runner implementation for OpenCode CLI."""
-
- name: str = "opencode"
-
- @classmethod
- def metadata(cls) -> RunnerMeta:
- from factory.runners.protocol import RunnerMeta
- return RunnerMeta(
- name="opencode",
- display_name="OpenCode",
- binary="opencode",
- install_hint="go install github.com/opencode-ai/opencode@latest",
- required_env_vars=["OPENAI_API_KEY"],
- supports_model_override=False,
- supports_interactive=True,
- supports_streaming=True,
- supports_usage_telemetry=False,
- supports_session_name=False,
- )
-
- def build_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the OpenCode CLI command and env dict."""
- full_prompt = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = [
- "opencode",
- "-p", full_prompt,
- "-c", str(request.cwd),
- "-q",
- ]
-
- env = {k: v for k, v in os.environ.items() if k != "VIRTUAL_ENV"}
- _prepend_opencode_path(env)
- _source_openai_key_from_shell(env)
-
- return cmd, env, []
-
- async def headless(self, request: AgentRunRequest) -> AgentRunResult:
- """Run a headless OpenCode invocation."""
- background = request.extras.get("background", False)
- if background:
- log.warning("opencode_bg_not_supported", hint="--bg is a claude-only feature")
- if is_opencode_dry_run():
- from factory.runners._subprocess import make_dry_run_result
- return make_dry_run_result("opencode", request.role, request.cwd, request.task)
-
- _check_auth()
-
- cmd, env, _ = self.build_command(request)
-
- log.info("opencode_headless", cwd=str(request.cwd), role=request.role)
-
- return await run_subprocess(
- cmd, cwd=str(request.cwd), env=env,
- timeout=request.timeout, runner_name="opencode", role=request.role,
- )
-
- def build_interactive_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
- """Build the CLI command, env dict, and temp files for an interactive invocation."""
- full_prompt = f"{request.prompt}\n\n---\n\n## Current Task\n\n{request.task}"
-
- cmd = ["opencode", "-p", full_prompt, "-c", str(request.cwd)]
-
- env = {k: v for k, v in os.environ.items() if k != "VIRTUAL_ENV"}
- _prepend_opencode_path(env)
- _source_openai_key_from_shell(env)
-
- return cmd, env, []
-
- def interactive_run(self, request: AgentRunRequest) -> int:
- """Run an interactive OpenCode session as a subprocess."""
- if is_opencode_dry_run():
- print("[DRY-RUN] Would exec: opencode (interactive)")
- print(f"[DRY-RUN] Task: {request.task[:200]}...")
- return 0
-
- cmd, env, _ = self.build_interactive_command(request)
-
- log.info("opencode_interactive", cwd=str(request.cwd))
-
- result = subprocess.run(cmd, cwd=request.cwd, env=env)
- return result.returncode
-
diff --git a/factory/runners/protocol.py b/factory/runners/protocol.py
index 2cb9c6a08..c75fec56c 100644
--- a/factory/runners/protocol.py
+++ b/factory/runners/protocol.py
@@ -25,6 +25,7 @@ class RunnerMeta:
supports_streaming: bool = True
supports_usage_telemetry: bool = False
supports_session_name: bool = False
+ supports_session_resume: bool = False
supports_background: bool = False
custom_auth_check: Callable[[], bool] | None = None
@@ -41,11 +42,12 @@ def check_auth(self) -> bool:
if self.custom_auth_check is not None:
return self.custom_auth_check()
import os
+
return all(os.environ.get(v) for v in self.required_env_vars)
class Runner(Protocol):
- """Protocol for CLI backend implementations (claude, bob, etc.)."""
+ """Protocol for CLI backend implementations (e.g. claude)."""
name: str
@@ -54,7 +56,9 @@ def metadata(cls) -> RunnerMeta:
"""Return metadata about this runner."""
...
- def build_command(self, request: AgentRunRequest) -> tuple[list[str], dict[str, str], list[Path]]:
+ def build_command(
+ self, request: AgentRunRequest
+ ) -> tuple[list[str], dict[str, str], list[Path]]:
"""Build the CLI command, env dict, and temp files for a headless invocation."""
...
diff --git a/factory/runners/usage.py b/factory/runners/usage.py
deleted file mode 100644
index 7168f37dd..000000000
--- a/factory/runners/usage.py
+++ /dev/null
@@ -1,166 +0,0 @@
-"""Bob usage tracking — log and ceiling enforcement."""
-
-from __future__ import annotations
-
-import json
-from dataclasses import dataclass
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import TypedDict
-
-import structlog
-
-log = structlog.get_logger()
-
-USAGE_LOG_NAME = "bob_usage.jsonl"
-
-
-class UsageEntry(TypedDict):
- timestamp: str
- role: str
- cwd: str
- duration_seconds: float
- exit_code: int
- dry_run: bool
-
-
-def get_usage_log_path(project_path: Path) -> Path:
- """Return the path to the bob usage log for a project."""
- return project_path / ".factory" / USAGE_LOG_NAME
-
-
-def log_usage(
- project_path: Path,
- role: str,
- cwd: Path,
- duration_seconds: float,
- exit_code: int,
- dry_run: bool = False,
-) -> None:
- """Append a usage entry to the project's bob_usage.jsonl."""
- log_path = get_usage_log_path(project_path)
- log_path.parent.mkdir(parents=True, exist_ok=True)
-
- entry: UsageEntry = {
- "timestamp": datetime.now(timezone.utc).isoformat(),
- "role": role,
- "cwd": str(cwd),
- "duration_seconds": duration_seconds,
- "exit_code": exit_code,
- "dry_run": dry_run,
- }
-
- with open(log_path, "a") as f:
- f.write(json.dumps(entry) + "\n")
-
-
-def count_cycle_invocations(project_path: Path, cycle_start: datetime | None = None) -> int:
- """Count non-dry-run bob invocations in the current cycle.
-
- If cycle_start is None, returns 0 (no cycle tracking without explicit start).
- """
- if cycle_start is None:
- return 0
-
- log_path = get_usage_log_path(project_path)
- if not log_path.exists():
- return 0
-
- count = 0
- cycle_start_iso = cycle_start.isoformat()
-
- with open(log_path) as f:
- for line in f:
- line = line.strip()
- if not line:
- continue
- try:
- entry = json.loads(line)
- ts = entry.get("timestamp", "")
- if ts >= cycle_start_iso and not entry.get("dry_run", False):
- count += 1
- except json.JSONDecodeError:
- continue
-
- return count
-
-
-def get_cycle_ceiling() -> int:
- """Get the per-cycle invocation ceiling from env var."""
- from factory.user_config import resolve
-
- return int(resolve("bob_max_invocations_per_cycle", env_var="FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", default="8") or "8")
-
-
-class CeilingExceededError(Exception):
- """Raised when a bob invocation ceiling is exceeded."""
-
- def __init__(self, ceiling_name: str, current: int, limit: int, env_var: str) -> None:
- self.ceiling_name = ceiling_name
- self.current = current
- self.limit = limit
- self.env_var = env_var
- super().__init__(
- f"Bob {ceiling_name} ceiling exceeded: {current}/{limit}. "
- f"To increase, set {env_var}={limit + 5}"
- )
-
-
-@dataclass
-class CeilingWarning:
- """Warning when approaching a ceiling (≤2 invocations remaining)."""
-
- ceiling_name: str
- remaining: int
- limit: int
-
-
-def _emit_warning_event(project_path: Path, warning: CeilingWarning) -> None:
- """Emit a warning event to .factory/events.jsonl."""
- try:
- from factory.events import emit_event
-
- emit_event(
- project_path,
- "bob.ceiling_warning",
- data={
- "ceiling": warning.ceiling_name,
- "remaining": warning.remaining,
- "limit": warning.limit,
- },
- )
- except Exception:
- log.warning("Failed to emit ceiling warning event", exc_info=True)
-
-
-def check_ceilings(
- project_path: Path,
- cycle_start: datetime | None = None,
-) -> CeilingWarning | None:
- """Check per-cycle ceiling before a bob invocation.
-
- Raises CeilingExceededError if the per-cycle ceiling is exceeded.
- Returns CeilingWarning if ≤2 invocations remain before the ceiling.
- """
- # Check per-cycle ceiling
- cycle_count = count_cycle_invocations(project_path, cycle_start)
- cycle_limit = get_cycle_ceiling()
- if cycle_count >= cycle_limit:
- raise CeilingExceededError(
- "per-cycle", cycle_count, cycle_limit, "FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE"
- )
-
- # Check for approaching ceiling (≤2 remaining)
- remaining = cycle_limit - cycle_count
- if remaining <= 2:
- warning = CeilingWarning("per-cycle", remaining, cycle_limit)
- log.warning(
- "bob_ceiling_approaching",
- ceiling=warning.ceiling_name,
- remaining=warning.remaining,
- limit=warning.limit,
- )
- _emit_warning_event(project_path, warning)
- return warning
-
- return None
diff --git a/factory/skill_cache.py b/factory/skill_cache.py
new file mode 100644
index 000000000..754c7ab56
--- /dev/null
+++ b/factory/skill_cache.py
@@ -0,0 +1,128 @@
+"""On-the-fly workflow skill generation with checksum-based caching."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import shutil
+from pathlib import Path
+from typing import Any
+
+import structlog
+
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+def _sort_recursive(obj: object) -> Any:
+ """Recursively sort dicts by key and lists by value for deterministic serialization."""
+ if isinstance(obj, dict):
+ return {k: _sort_recursive(v) for k, v in sorted(obj.items())}
+ if isinstance(obj, list):
+ try:
+ return sorted(_sort_recursive(item) for item in obj)
+ except TypeError:
+ return [_sort_recursive(item) for item in obj]
+ return obj
+
+
+def _compute_checksum(workflows: dict[str, Workflow]) -> str:
+ """Deterministic checksum from workflow Pydantic models.
+
+ Serialises all workflows via model_dump(mode='json'), sorts by name,
+ then SHA-256 hashes the canonical JSON. Returns the first 16 hex chars.
+ """
+ payload = {name: wf.model_dump(mode="json") for name, wf in sorted(workflows.items())}
+ payload = _sort_recursive(payload)
+ blob = json.dumps(payload, sort_keys=True).encode()
+ return hashlib.sha256(blob).hexdigest()[:16]
+
+
+def ensure_skills(project_dir: Path, *, mode: str | None = None) -> list[Path]:
+ """Generate workflow skills into *project_dir*/skills/, using a local cache.
+
+ Cache location: ``~/.factory/cache/skills/{checksum}/``.
+ Only ``workflow-*`` subdirectories are copied — hand-written skills are
+ never touched. Returns an empty list on any I/O error (non-fatal).
+
+ If *mode* is given, also generates PostToolUse verification hooks for that
+ workflow into *project_dir*/.factory/hooks/.
+ """
+ try:
+ return _ensure_skills_inner(project_dir, mode=mode)
+ except Exception as exc:
+ log.warning("skill_cache.error", error=str(exc))
+ return []
+
+
+def _ensure_skills_inner(project_dir: Path, *, mode: str | None = None) -> list[Path]:
+ from factory.workflow.registry import WorkflowRegistry
+ from factory.workflow.skill_export import export_all_skills
+
+ entries = WorkflowRegistry.discover(project_dir)
+
+ builtin_workflows: dict[str, Workflow] = {}
+ project_workflows: dict[str, Workflow] = {}
+
+ for name, entry in entries.items():
+ wf = WorkflowRegistry.get_workflow(name, project_dir)
+ if wf is None:
+ continue
+ if entry.source == "project":
+ project_workflows[name] = wf
+ else:
+ builtin_workflows[name] = wf
+
+ log.info("skill_cache.project_workflows_discovered", count=len(project_workflows))
+
+ checksum = _compute_checksum(builtin_workflows)
+
+ cache_dir = Path.home() / ".factory" / "cache" / "skills" / checksum
+ skills_target = project_dir / "skills"
+ skills_target.mkdir(parents=True, exist_ok=True)
+
+ workflow_dirs = sorted(cache_dir.glob("workflow-*")) if cache_dir.exists() else []
+
+ if workflow_dirs:
+ log.info("skill_cache.hit", checksum=checksum, cached_skills=len(workflow_dirs))
+ else:
+ log.info("skill_cache.miss", checksum=checksum)
+ cache_dir.mkdir(parents=True, exist_ok=True)
+ export_all_skills(cache_dir, builtin_workflows)
+ workflow_dirs = sorted(cache_dir.glob("workflow-*"))
+
+ cache_parent = cache_dir.parent
+ evicted = 0
+ for sibling in cache_parent.iterdir():
+ if sibling != cache_dir and sibling.is_dir():
+ shutil.rmtree(sibling, ignore_errors=True)
+ evicted += 1
+ if evicted:
+ log.info("skill_cache.evicted", count=evicted)
+
+ generated: list[Path] = []
+ for src in workflow_dirs:
+ dst = skills_target / src.name
+ shutil.copytree(src, dst, dirs_exist_ok=True)
+ skill_md = dst / "SKILL.md"
+ if skill_md.exists():
+ generated.append(skill_md)
+
+ log.info("skill_cache.copied", count=len(generated), target=str(skills_target))
+
+ if project_workflows:
+ project_generated = export_all_skills(skills_target, project_workflows)
+ generated.extend(project_generated)
+ log.info("skill_cache.project_skills_generated", count=len(project_generated))
+
+ all_workflows = {**builtin_workflows, **project_workflows}
+
+ if mode and mode in all_workflows:
+ from factory.workflow.verification import write_verification_hooks
+
+ settings_path = write_verification_hooks(all_workflows[mode], project_dir)
+ if settings_path:
+ log.info("skill_cache.hooks_generated", mode=mode, settings=str(settings_path))
+
+ return generated
diff --git a/factory/skillopt/__init__.py b/factory/skillopt/__init__.py
new file mode 100644
index 000000000..76da03ff5
--- /dev/null
+++ b/factory/skillopt/__init__.py
@@ -0,0 +1 @@
+"""YAML annotation surface for SkillOpt — prompt slots as the optimization target."""
diff --git a/factory/skillopt/yaml_surface.py b/factory/skillopt/yaml_surface.py
new file mode 100644
index 000000000..221e9b260
--- /dev/null
+++ b/factory/skillopt/yaml_surface.py
@@ -0,0 +1,250 @@
+"""YAML annotation surface for SkillOpt — prompt slots as the optimization target."""
+from __future__ import annotations
+
+import copy
+import difflib
+import re
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import yaml
+from pydantic import BaseModel, ConfigDict
+
+if TYPE_CHECKING:
+ from factory.workflow.primitives import Workflow
+
+
+class SlotEdit(BaseModel):
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ node_id: str
+ slot_name: str
+ new_value: str
+ rationale: str = ""
+
+
+class SlotPatch(BaseModel):
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ edits: list[SlotEdit]
+ reasoning: str = ""
+
+
+def load_yaml(path: str | Path) -> dict:
+ return yaml.safe_load(Path(path).read_text())
+
+
+def extract_prompt_slots(surface: dict) -> dict[str, str]:
+ """Extract {slot_name: value} for all prompt slots across all nodes.
+
+ Recognizes task_prompt_* (AgentNode), system_prompt_* and instance_prompt_* (LLMNode).
+ """
+ slots: dict[str, str] = {}
+ for node_id, node in surface.items():
+ if not isinstance(node, dict):
+ continue
+ for k, v in node.get("slots", {}).items():
+ if k.startswith(("task_prompt_", "system_prompt_", "instance_prompt_")):
+ slots[k] = v
+ return slots
+
+
+def validate_only_prompts_changed(original: dict, proposed: dict) -> list[str]:
+ """Return violations if anything other than prompt slots changed."""
+ violations: list[str] = []
+ if set(original.keys()) != set(proposed.keys()):
+ violations.append(f"Node IDs changed: {set(original.keys())} vs {set(proposed.keys())}")
+ return violations
+ for node_id in original:
+ orig = original[node_id]
+ prop = proposed[node_id]
+ if not isinstance(orig, dict) or not isinstance(prop, dict):
+ if orig != prop:
+ violations.append(f"{node_id} changed (non-dict node)")
+ continue
+ for field in ("type", "id", "edges_out", "reads", "writes"):
+ if orig.get(field) != prop.get(field):
+ violations.append(f"{node_id}.{field} changed")
+ orig_slots = orig.get("slots", {})
+ prop_slots = prop.get("slots", {})
+ for k in set(orig_slots) | set(prop_slots):
+ if not k.startswith(_PROMPT_SLOT_PREFIXES):
+ if orig_slots.get(k) != prop_slots.get(k):
+ violations.append(f"{node_id}.slots.{k} changed (not a prompt slot)")
+ for field in ("evaluator_command", "command", "evaluator_type", "role", "blocking"):
+ if orig.get(field) != prop.get(field):
+ violations.append(f"{node_id}.{field} changed")
+ return violations
+
+
+def apply_slot_edits(surface: dict, edits: list[SlotEdit]) -> dict:
+ """Apply prompt slot edits to the YAML surface. Returns a deep copy with updates."""
+ updated = copy.deepcopy(surface)
+ for edit in edits:
+ node = updated.get(edit.node_id)
+ if node and isinstance(node, dict) and "slots" in node and edit.slot_name in node["slots"]:
+ node["slots"][edit.slot_name] = edit.new_value
+ return updated
+
+
+def render_skill_from_slots(
+ workflow_name: str,
+ prompt_slots: dict[str, str],
+ skill_path: str | Path,
+) -> str:
+ """Re-render SKILL.md by loading the workflow, overriding prompt_template slots, and running the renderer."""
+ from factory.workflow.definitions import register_all
+ from factory.workflow.skill_export import workflow_to_skill_md
+ from factory.workflow.splitter import split_skill
+
+ workflows = register_all()
+ wf = workflows.get(workflow_name)
+ if not wf:
+ raise ValueError(f"Unknown workflow: {workflow_name}")
+
+ from factory.workflow.primitives import AgentNode, LLMNode
+
+ for slot_name, slot_value in prompt_slots.items():
+ if slot_name.startswith("task_prompt_"):
+ node_id = slot_name.replace("task_prompt_", "")
+ node = wf.nodes.get(node_id)
+ if isinstance(node, AgentNode):
+ wf.nodes[node_id] = node.model_copy(update={"prompt_template": slot_value})
+ elif slot_name.startswith("instance_prompt_"):
+ node_id = slot_name.replace("instance_prompt_", "")
+ node = wf.nodes.get(node_id)
+ if isinstance(node, LLMNode):
+ wf.nodes[node_id] = node.model_copy(update={"instance_prompt": slot_value})
+ elif slot_name.startswith("system_prompt_"):
+ node_id = slot_name.replace("system_prompt_", "")
+ node = wf.nodes.get(node_id)
+ if isinstance(node, LLMNode):
+ wf.nodes[node_id] = node.model_copy(update={"system_prompt": slot_value})
+
+ templatized = workflow_to_skill_md(wf)
+ clean_md, _ = split_skill(templatized)
+
+ Path(skill_path).write_text(clean_md)
+ return clean_md
+
+
+def compute_prompt_change_magnitude(old: str, new: str) -> int:
+ """Count changed lines between two prompt texts (line-level unified diff)."""
+ old_lines = old.splitlines(keepends=True)
+ new_lines = new.splitlines(keepends=True)
+ diff = difflib.unified_diff(old_lines, new_lines, n=0)
+ return sum(1 for line in diff if line.startswith(("+", "-")) and not line.startswith(("+++", "---")))
+
+
+_EXPORTER_SUFFIX = re.compile(
+ r"(\nRead: [^\n]+)?(\nWrite output to: [^\n]+)?$"
+)
+
+
+def _strip_exporter_suffix(prompt: str) -> str:
+ """Remove trailing Read/Write lines appended by skill_export."""
+ return _EXPORTER_SUFFIX.sub("", prompt)
+
+
+def yaml_to_workflow(
+ yaml_path: str | Path,
+ workflow_name: str,
+ *,
+ workflow: Workflow | None = None,
+) -> Workflow:
+ """Convert an annotations YAML back into a Pydantic Workflow object.
+
+ Loads the original workflow definition, then overrides all slot values
+ (task_prompt_*, timeout_*, max_iterations_*, gate_prompt_*) with values from the YAML.
+
+ If *workflow* is provided, it is used as the base (deep-copied) instead of
+ looking up *workflow_name* in ``register_all()``.
+ """
+ from factory.workflow.primitives import AgentNode, GateNode, LLMNode
+
+ surface = load_yaml(yaml_path)
+
+ wf: Workflow
+ if workflow is not None:
+ wf = workflow.model_copy(deep=True)
+ else:
+ from factory.workflow.definitions import register_all
+
+ workflows = register_all()
+ resolved = workflows.get(workflow_name)
+ if not resolved:
+ raise ValueError(f"Unknown workflow: {workflow_name}")
+ wf = resolved
+
+ for node_id, node_data in surface.items():
+ if not isinstance(node_data, dict):
+ continue
+ slots = node_data.get("slots", {})
+ pydantic_node = wf.nodes.get(node_id)
+ if not pydantic_node or not slots:
+ continue
+
+ updates: dict[str, object] = {}
+ for slot_name, slot_value in slots.items():
+ if slot_name.startswith("task_prompt_"):
+ updates["prompt_template"] = _strip_exporter_suffix(str(slot_value))
+ elif slot_name.startswith("system_prompt_"):
+ if isinstance(pydantic_node, LLMNode):
+ updates["system_prompt"] = str(slot_value)
+ elif slot_name.startswith("instance_prompt_"):
+ if isinstance(pydantic_node, LLMNode):
+ updates["instance_prompt"] = _strip_exporter_suffix(str(slot_value))
+ elif slot_name.startswith("timeout_"):
+ updates["timeout"] = int(slot_value)
+ elif slot_name.startswith("max_iterations_"):
+ if isinstance(pydantic_node, AgentNode):
+ updates["max_iterations"] = int(slot_value)
+ elif slot_name.startswith("max_turns_"):
+ if isinstance(pydantic_node, LLMNode):
+ updates["max_turns"] = int(slot_value)
+ elif slot_name.startswith("gate_prompt_"):
+ if isinstance(pydantic_node, GateNode):
+ updates["gate_prompt"] = str(slot_value)
+
+ if updates:
+ wf.nodes[node_id] = pydantic_node.model_copy(update=updates)
+
+ return wf
+
+
+def workflow_to_yaml(wf: Workflow, output_path: str | Path) -> dict:
+ """Convert a Pydantic Workflow into annotations YAML.
+
+ Renders the workflow to SKILL.md via workflow_to_skill_md(), then splits
+ into clean markdown + annotations. Returns the annotations dict and writes
+ it to output_path.
+ """
+ from factory.workflow.skill_export import workflow_to_skill_md
+ from factory.workflow.splitter import annotations_to_yaml, split_skill
+
+ templatized = workflow_to_skill_md(wf)
+ _clean_md, annotations = split_skill(templatized)
+
+ yaml_text = annotations_to_yaml(annotations)
+ Path(output_path).write_text(yaml_text)
+ return annotations
+
+
+_PROMPT_SLOT_PREFIXES = ("task_prompt_", "system_prompt_", "instance_prompt_")
+
+
+def format_prompt_slots_for_llm(surface: dict) -> str:
+ """Format prompt slots as readable text for the LLM analyst."""
+ sections: list[str] = []
+ for node_id, node in surface.items():
+ if not isinstance(node, dict):
+ continue
+ slots = node.get("slots", {})
+ prompt_slots = {k: v for k, v in slots.items() if k.startswith(_PROMPT_SLOT_PREFIXES)}
+ if not prompt_slots:
+ continue
+ for slot_name, slot_value in prompt_slots.items():
+ sections.append(
+ f"--- node_id: {node_id} | slot_name: {slot_name} ---\n{slot_value}"
+ )
+ return "\n\n".join(sections)
diff --git a/factory/spec/__init__.py b/factory/spec/__init__.py
new file mode 100644
index 000000000..cfc495e92
--- /dev/null
+++ b/factory/spec/__init__.py
@@ -0,0 +1,35 @@
+"""SPEC — model-readable structural map of a repository."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from factory.spec.apply_diff import apply_spec_diff
+from factory.spec.generate import generate_spec
+from factory.spec.ops import (
+ get_impact,
+ scope_diff,
+ update_spec,
+ validate_spec,
+)
+
+
+def read_spec(project_path: Path) -> str:
+ """Read SPEC.md and return raw markdown content."""
+ from factory.discovery.spec import resolve_spec
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ raise FileNotFoundError(f"No repo spec found in {project_path}")
+ return spec_path.read_text(encoding="utf-8")
+
+
+__all__ = [
+ "apply_spec_diff",
+ "generate_spec",
+ "get_impact",
+ "read_spec",
+ "scope_diff",
+ "update_spec",
+ "validate_spec",
+]
diff --git a/factory/spec/apply_diff.py b/factory/spec/apply_diff.py
new file mode 100644
index 000000000..0e56ef87f
--- /dev/null
+++ b/factory/spec/apply_diff.py
@@ -0,0 +1,197 @@
+"""Apply a SPEC Diff from strategy to SPEC.md."""
+
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+
+@dataclass
+class ModuleEntry:
+ name: str
+ body: str
+
+
+@dataclass
+class SpecDiff:
+ added: list[ModuleEntry] = field(default_factory=list)
+ modified: list[ModuleEntry] = field(default_factory=list)
+ removed: list[ModuleEntry] = field(default_factory=list)
+
+
+def extract_spec_diff(strategy_text: str) -> SpecDiff | None:
+ """Extract the ## SPEC Diff section from strategy text.
+
+ Returns None if no SPEC Diff section is found.
+ """
+ match = re.search(
+ r"^## SPEC Diff\s*\n(.*?)(?=\n## (?!#)|\Z)",
+ strategy_text,
+ re.MULTILINE | re.DOTALL,
+ )
+ if not match:
+ return None
+
+ section = match.group(1)
+ diff = SpecDiff()
+
+ category_pattern = re.compile(
+ r"^### (ADDED|MODIFIED|REMOVED) Modules\s*\n(.*?)(?=\n### |\Z)",
+ re.MULTILINE | re.DOTALL,
+ )
+
+ for cat_match in category_pattern.finditer(section):
+ category = cat_match.group(1)
+ content = cat_match.group(2)
+ modules = _parse_module_entries(content)
+
+ if category == "ADDED":
+ diff.added = modules
+ elif category == "MODIFIED":
+ diff.modified = modules
+ elif category == "REMOVED":
+ diff.removed = modules
+
+ return diff
+
+
+def _parse_module_entries(text: str) -> list[ModuleEntry]:
+ """Parse #### module `<name>` entries from a category section."""
+ entries: list[ModuleEntry] = []
+ pattern = re.compile(
+ r"^#### module `([^`]+)`\s*\n(.*?)(?=\n#### |\Z)",
+ re.MULTILINE | re.DOTALL,
+ )
+
+ for m in pattern.finditer(text):
+ name = m.group(1).strip()
+ body = m.group(2).strip()
+ entries.append(ModuleEntry(name=name, body=body))
+
+ return entries
+
+
+def _find_module_section(spec_lines: list[str], module_name: str) -> tuple[int, int] | None:
+ """Find the start and end line indices of a module section in SPEC.md.
+
+ Looks for patterns like:
+ ### module `<name>`
+ ### `<name>`
+ ### <name>
+ """
+ pattern = re.compile(
+ rf"^###\s+(?:module\s+)?(?:`{re.escape(module_name)}`|{re.escape(module_name)})\s*$"
+ )
+ start = None
+ for i, line in enumerate(spec_lines):
+ if start is None:
+ if pattern.match(line.strip()):
+ start = i
+ else:
+ stripped = line.strip()
+ if stripped.startswith("### ") and not stripped.startswith("#### "):
+ return (start, i)
+
+ if start is not None:
+ return (start, len(spec_lines))
+
+ return None
+
+
+def _build_module_block(entry: ModuleEntry) -> str:
+ """Build a markdown block for a module entry."""
+ return f"### module `{entry.name}`\n\n{entry.body}\n"
+
+
+def apply_spec_diff(project_path: Path, strategy_path: Path | None = None) -> bool:
+ """Apply the SPEC Diff from strategy to SPEC.md.
+
+ Args:
+ project_path: Root of the target project.
+ strategy_path: Path to the strategy file containing the SPEC Diff.
+ Defaults to project_path / ".factory" / "strategy" / "current.md".
+
+ Returns:
+ True if changes were applied, False if no SPEC Diff section was found.
+ """
+ if strategy_path is None:
+ strategy_path = project_path / ".factory" / "strategy" / "current.md"
+
+ if not strategy_path.is_file():
+ log.info("spec.apply_diff.skip", reason="strategy file not found", path=str(strategy_path))
+ return False
+
+ strategy_text = strategy_path.read_text(encoding="utf-8")
+ diff = extract_spec_diff(strategy_text)
+
+ if diff is None:
+ log.info("spec.apply_diff.skip", reason="no SPEC Diff section found")
+ return False
+
+ if not diff.added and not diff.modified and not diff.removed:
+ log.info("spec.apply_diff.skip", reason="SPEC Diff section is empty")
+ return False
+
+ spec_path = project_path / "SPEC.md"
+
+ if spec_path.is_file():
+ spec_text = spec_path.read_text(encoding="utf-8")
+ else:
+ log.info("spec.apply_diff.create", path=str(spec_path))
+ spec_text = "# SPEC\n"
+
+ spec_lines = spec_text.splitlines(keepends=True)
+
+ removed_count = 0
+ for entry in diff.removed:
+ bounds = _find_module_section([line.rstrip("\n") for line in spec_lines], entry.name)
+ if bounds:
+ start, end = bounds
+ del spec_lines[start:end]
+ removed_count += 1
+ log.debug("spec.apply_diff.removed", module=entry.name)
+ else:
+ log.warning("spec.apply_diff.remove_miss", module=entry.name)
+
+ modified_count = 0
+ for entry in diff.modified:
+ plain_lines = [line.rstrip("\n") for line in spec_lines]
+ bounds = _find_module_section(plain_lines, entry.name)
+ if bounds:
+ start, end = bounds
+ replacement = _build_module_block(entry) + "\n"
+ spec_lines[start:end] = [replacement]
+ modified_count += 1
+ log.debug("spec.apply_diff.modified", module=entry.name)
+ else:
+ log.warning(
+ "spec.apply_diff.modify_miss",
+ module=entry.name,
+ action="appending as new section",
+ )
+ spec_lines.append("\n" + _build_module_block(entry) + "\n")
+ modified_count += 1
+
+ added_count = 0
+ for entry in diff.added:
+ block = "\n" + _build_module_block(entry) + "\n"
+ spec_lines.append(block)
+ added_count += 1
+ log.debug("spec.apply_diff.added", module=entry.name)
+
+ spec_path.write_text("".join(spec_lines), encoding="utf-8")
+
+ log.info(
+ "spec.apply_diff.complete",
+ added=added_count,
+ modified=modified_count,
+ removed=removed_count,
+ output=str(spec_path),
+ )
+
+ return True
diff --git a/factory/spec/generate.py b/factory/spec/generate.py
new file mode 100644
index 000000000..6cca91770
--- /dev/null
+++ b/factory/spec/generate.py
@@ -0,0 +1,75 @@
+"""Spec generation orchestration — graphify extraction + single annotator agent."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+
+def _build_annotate_prompt(project_path: Path) -> str:
+ """Build the annotator agent prompt for producing SPEC.md.
+
+ All format, section, and graph reference instructions live in
+ factory/agents/prompts/spec_annotator.md — this prompt just points the
+ agent at the template and the graph data.
+ """
+ graph_path = project_path / "graph.json"
+ return (
+ f"Generate a behavioral overview spec for the project at {project_path}.\n\n"
+ f"Read the spec_annotator prompt at factory/agents/prompts/spec_annotator.md "
+ f"and follow it exactly — it defines the output format, required sections, "
+ f"graph reference link syntax, and completeness checklist.\n\n"
+ f"Read the code knowledge graph at {graph_path}.\n\n"
+ f"Write the annotated repo spec to {project_path / 'SPEC.md'}."
+ )
+
+
+async def generate_spec(project_path: Path) -> Path:
+ """Generate a repo spec for a project.
+
+ 1. Run graphify extract → graph.json (local AST, no LLM cost)
+ 2. Annotator agent reads graph.json directly → produces SPEC.md
+
+ Returns the path to the generated SPEC.md.
+ Raises RuntimeError if graphify is not installed or extraction fails.
+ """
+ from factory.agents.runner import invoke_agent
+ from factory.graph import extract_graph, is_graphify_installed
+
+ if not is_graphify_installed():
+ raise RuntimeError(
+ "graphify is required for spec generation. Install with: uv tool install graphifyy"
+ )
+
+ factory_dir = project_path / ".factory"
+ factory_dir.mkdir(parents=True, exist_ok=True)
+
+ graph_path = extract_graph(project_path)
+ if graph_path is None:
+ raise RuntimeError("graphify extraction failed — check logs for details")
+
+ log.info("spec.generate.graph", graph_path=str(graph_path))
+
+ annotate_task = _build_annotate_prompt(project_path)
+
+ result, code = await invoke_agent(
+ "researcher",
+ annotate_task,
+ project_path,
+ timeout=600.0,
+ dangerously_skip_permissions=True,
+ )
+ if code != 0:
+ raise RuntimeError(f"Spec annotation failed (exit {code}): {result[:500]}")
+
+ repo_spec = project_path / "SPEC.md"
+ if not repo_spec.exists():
+ raise FileNotFoundError(
+ f"Annotation agent did not produce {repo_spec}. Agent output: {result[:500]}"
+ )
+
+ log.info("spec.generate.complete", output=str(repo_spec))
+ return repo_spec
diff --git a/factory/spec/ops.py b/factory/spec/ops.py
new file mode 100644
index 000000000..32aa5bfcd
--- /dev/null
+++ b/factory/spec/ops.py
@@ -0,0 +1,332 @@
+"""Spec operations — validate, scope, update, and impact via agent calls."""
+
+from __future__ import annotations
+
+import re
+import subprocess
+from pathlib import Path
+
+import structlog
+
+log = structlog.get_logger()
+
+GRAPH_HINT = (
+ "If a code knowledge graph exists at {project_path}/graph.json, "
+ "read it for dependency and structural context."
+)
+
+# ── Validate ────────────────────────────────────────────────────
+
+VALIDATE_PROMPT = """\
+Validate this SPEC.md against the project at {project_path}.
+
+## SPEC.md
+{spec_content}
+
+## Checks to perform
+1. For each module with a declared path, verify the path exists on disk
+2. For modules with declared dependencies, spot-check that actual imports match
+3. Flag orphan modules (no other module depends on them or lists them as consumed_by)
+4. Check that these sections are non-empty: Problem Statement, Goals, Non-Goals, \
+Design Philosophy, Configuration, Security, Extension Points, Implementation Checklist
+5. For entity names in the Domain Model section, verify matching classes exist in source
+6. Check that module behavioral specs use RFC 2119 normative language (MUST, SHOULD, etc.)
+7. If the spec contains [[graph:...]] entity references, verify they resolve to actual \
+nodes in the code knowledge graph
+
+{graph_hint}
+
+## Output
+Write a Markdown validation report with sections for Errors and Warnings.
+Errors = blocking issues (path not found, critical structural problems).
+Warnings = advisory (missing sections, orphan modules, missing normative language).
+
+End the report with exactly one of these verdict lines on its own line:
+Verdict: PASS
+Verdict: FAIL
+
+Use FAIL if there are any errors, PASS otherwise.
+"""
+
+
+def _parse_verdict(text: str) -> bool:
+ """Extract pass/fail verdict from agent output. Defaults to True if absent."""
+ match = re.search(r"^Verdict:\s*(PASS|FAIL)\s*$", text, re.MULTILINE)
+ if match:
+ return match.group(1) == "PASS"
+ return True
+
+
+async def validate_spec(project_path: Path) -> tuple[str, bool]:
+ """Validate SPEC.md against the actual project using a single Haiku agent call.
+
+ Writes the agent's markdown report to .factory/spec_validation.md.
+ Returns (report_text, is_valid).
+ """
+ from factory.agents.runner import invoke_agent
+ from factory.spec import read_spec
+
+ spec_content = read_spec(project_path)
+
+ prompt = VALIDATE_PROMPT.format(
+ project_path=project_path,
+ spec_content=spec_content,
+ graph_hint=GRAPH_HINT.format(project_path=project_path),
+ )
+
+ result_text, code = await invoke_agent(
+ "researcher",
+ prompt,
+ project_path,
+ timeout=120.0,
+ dangerously_skip_permissions=True,
+ model="haiku",
+ )
+
+ if code != 0:
+ report = (
+ f"# Spec Validation Report\n\nValidation agent failed (exit {code}).\n\nVerdict: PASS\n"
+ )
+ is_valid = True
+ else:
+ report = result_text.strip()
+ is_valid = _parse_verdict(report)
+
+ output_path = project_path / ".factory" / "spec_validation.md"
+ output_path.parent.mkdir(parents=True, exist_ok=True)
+ output_path.write_text(report)
+
+ log.info(
+ "spec.validate.complete",
+ is_valid=is_valid,
+ output=str(output_path),
+ )
+
+ return report, is_valid
+
+
+# ── Scope & Update ──────────────────────────────────────────────
+
+SCOPE_PROMPT = """\
+Analyze this git diff against the repo spec and identify which spec modules are affected.
+
+## SPEC.md
+{spec_content}
+
+## Git Diff
+{diff_text}
+
+{graph_hint}
+
+## Output
+Write a Markdown summary of the affected scope:
+- Which existing spec modules are affected by the diff (list module names)
+- Which changed files don't map to any existing module (new/unmapped files)
+- Which files were deleted in this diff
+
+Use clear headings: "## Affected Modules", "## New Files", "## Deleted Files".
+List items as bullet points under each heading, or write "None" if empty.
+"""
+
+
+def _get_diff_text(project_path: Path, experiment_id: int | None, spec_rel: str) -> str:
+ """Get diff text from an experiment file or git."""
+ if experiment_id is not None:
+ diff_path = project_path / ".factory" / "experiments" / str(experiment_id) / "changes.diff"
+ if not diff_path.is_file():
+ raise FileNotFoundError(f"No diff found at {diff_path}")
+ return diff_path.read_text()
+
+ result = subprocess.run(
+ ["git", "log", "-1", "--format=%H", "--", spec_rel],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+ spec_commit = result.stdout.strip() if result.returncode == 0 else ""
+ base_ref = spec_commit or "HEAD~1"
+
+ rev_check = subprocess.run(
+ ["git", "rev-parse", "--verify", base_ref],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+ if rev_check.returncode != 0:
+ result = subprocess.run(
+ ["git", "diff", "--root", "HEAD"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+ if result.returncode != 0:
+ raise RuntimeError(f"git diff failed: {result.stderr[:200]}")
+ return result.stdout
+
+ result = subprocess.run(
+ ["git", "diff", base_ref, "HEAD"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ timeout=600,
+ )
+ if result.returncode != 0:
+ raise RuntimeError(f"git diff failed: {result.stderr[:200]}")
+ return result.stdout
+
+
+async def scope_diff(project_path: Path, experiment_id: int | None = None) -> str:
+ """Scope a diff against the existing repo spec using a Haiku agent call.
+
+ If experiment_id is provided, reads .factory/experiments/{id}/changes.diff.
+ Otherwise, diffs between HEAD and the commit that last touched SPEC.md.
+
+ Returns the agent's markdown summary of affected scope.
+ """
+ from factory.agents.runner import invoke_agent
+ from factory.discovery.spec import resolve_spec
+ from factory.spec import read_spec
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ raise FileNotFoundError(f"No repo spec found in {project_path}")
+
+ spec_content = read_spec(project_path)
+ spec_rel = str(spec_path.relative_to(project_path))
+
+ diff_text = _get_diff_text(project_path, experiment_id, spec_rel)
+
+ prompt = SCOPE_PROMPT.format(
+ spec_content=spec_content,
+ diff_text=diff_text,
+ graph_hint=GRAPH_HINT.format(project_path=project_path),
+ )
+
+ result_text, code = await invoke_agent(
+ "researcher",
+ prompt,
+ project_path,
+ timeout=120.0,
+ dangerously_skip_permissions=True,
+ model="haiku",
+ )
+
+ if code != 0:
+ raise RuntimeError(f"Scope diff agent failed (exit {code})")
+
+ scope_text = result_text.strip()
+
+ scope_path = project_path / ".factory" / "spec_update_scope.md"
+ scope_path.parent.mkdir(parents=True, exist_ok=True)
+ scope_path.write_text(scope_text)
+
+ log.info("spec.scope_diff", output=str(scope_path))
+
+ return scope_text
+
+
+async def update_spec(project_path: Path) -> Path:
+ """Update the repo spec based on changes since last spec commit.
+
+ 1. Scope the diff
+ 2. Run patcher agent to update SPEC.md
+
+ Returns the path to the updated SPEC.md.
+ """
+ from factory.agents.runner import invoke_agent
+ from factory.discovery.spec import resolve_spec
+
+ spec_path = resolve_spec(project_path)
+ if spec_path is None:
+ raise FileNotFoundError(f"No repo spec found in {project_path}")
+
+ scope_text = await scope_diff(project_path)
+
+ if not scope_text or scope_text.isspace():
+ log.info("spec.update.noop", reason="no changes detected")
+ return spec_path
+
+ patch_task = (
+ f"Update the repo spec at {spec_path} based on the scoped changes.\n\n"
+ f"## Scope of Changes\n{scope_text}\n\n"
+ f"Read the existing spec at {spec_path}.\n"
+ f"Read the changed source files to understand what changed.\n"
+ f"Update affected module entries and add/remove modules as needed.\n"
+ f"Write the updated spec to {spec_path}."
+ )
+
+ result, code = await invoke_agent(
+ "researcher",
+ patch_task,
+ project_path,
+ timeout=300.0,
+ dangerously_skip_permissions=True,
+ model="opus",
+ )
+ if code != 0:
+ raise RuntimeError(f"Spec patch failed (exit {code}): {result[:500]}")
+
+ log.info("spec.update.complete", output=str(spec_path))
+ return spec_path
+
+
+# ── Impact ──────────────────────────────────────────────────────
+
+IMPACT_PROMPT = """\
+Extract an impact analysis for the module "{module_name}" from this repo spec.
+
+## SPEC.md
+{spec_content}
+
+{graph_hint}
+
+## Output
+Produce a compact Markdown snippet covering:
+1. Module path, role, and classification
+2. Dependencies (what it imports)
+3. Dependents (what imports it)
+4. Contracts owned by this module
+5. Change impact (severity and affected modules)
+
+Use the exact heading "## Impact: {module_name}" as the first line.
+Keep the output under 30 lines. Return ONLY the Markdown snippet.
+"""
+
+
+async def get_impact(module_name: str, project_path: Path) -> str:
+ """Extract the subgraph centered on a named module from the repo spec.
+
+ Uses an agent to read the spec and (when available) the code knowledge
+ graph at graph.json for dependency information.
+
+ Returns a compact Markdown snippet sized for agent context inclusion.
+ Raises FileNotFoundError if the spec file does not exist.
+ """
+ from factory.agents.runner import invoke_agent
+ from factory.spec import read_spec
+
+ spec_content = read_spec(project_path)
+
+ prompt = IMPACT_PROMPT.format(
+ module_name=module_name,
+ spec_content=spec_content,
+ graph_hint=GRAPH_HINT.format(project_path=project_path),
+ )
+
+ result, code = await invoke_agent(
+ "researcher",
+ prompt,
+ project_path,
+ timeout=120.0,
+ dangerously_skip_permissions=True,
+ model="haiku",
+ )
+
+ if code != 0:
+ raise RuntimeError(f"Impact analysis agent failed (exit {code})")
+
+ log.info("spec.impact", module=module_name)
+ return result.strip()
diff --git a/factory/state.py b/factory/state.py
index 96982650b..15e9520fd 100644
--- a/factory/state.py
+++ b/factory/state.py
@@ -80,10 +80,18 @@ def detect_state(project_path: Path) -> ProjectState:
log.info("detect_state_result", state=ProjectState.EVALS_PENDING_REVIEW.value)
return ProjectState.EVALS_PENDING_REVIEW
- if (project_path / ".factory" / "config.json").exists():
+ factory_dir = project_path / ".factory"
+ if (factory_dir / "config.json").exists():
log.info("detect_state_result", state=ProjectState.HAS_FACTORY.value)
return ProjectState.HAS_FACTORY
+ if factory_dir.exists():
+ log.warning(
+ "factory_dir_without_config",
+ factory_dir=str(factory_dir),
+ hint="Run 'factory init' to generate config.json from factory.md",
+ )
+
if _has_open_plan_issues(project_path):
log.info("detect_state_result", state=ProjectState.REPO_INCOMPLETE.value)
return ProjectState.REPO_INCOMPLETE
diff --git a/factory/store.py b/factory/store.py
index 81c9455ba..c7b438873 100644
--- a/factory/store.py
+++ b/factory/store.py
@@ -3,18 +3,18 @@
import csv
import io
import json
-import subprocess
from datetime import datetime
from pathlib import Path
-from typing import Literal
+from typing import Any
import structlog
from filelock import FileLock
from pydantic import ValidationError
from factory.models import (
+ AdversarialComponent,
+ AdversarialConfig,
AggregateMethod,
- CompositeScore,
CostBudgetConfig,
EvalProfile,
EvalWeights,
@@ -24,6 +24,7 @@
HypothesisBudget,
InnerLoopConfig,
OuterLoopConfig,
+ ParallelConfig,
ProjectEvalDimension,
ResearchTarget,
TierWeights,
@@ -48,9 +49,19 @@ def ensure_factory_dir(path: Path) -> None:
TSV_COLUMNS = [
- "id", "timestamp", "hypothesis", "change_summary", "issue_number",
- "pr_number", "score_before", "score_after", "delta", "verdict",
- "cost_usd", "notes", "research_citations",
+ "id",
+ "timestamp",
+ "hypothesis",
+ "change_summary",
+ "issue_number",
+ "pr_number",
+ "score_before",
+ "score_after",
+ "delta",
+ "verdict",
+ "cost_usd",
+ "notes",
+ "research_citations",
]
@@ -94,14 +105,16 @@ def _parse_project_eval(items: str | list[str] | float) -> list[ProjectEvalDimen
command = fields.get("command", "")
if not name or not command:
continue
- dims.append(ProjectEvalDimension(
- name=name,
- command=command,
- parse=fields.get("parse", "json"), # type: ignore[arg-type]
- weight=float(fields.get("weight", "1.0")),
- timeout=float(fields.get("timeout", "300")),
- description=fields.get("description", ""),
- ))
+ dims.append(
+ ProjectEvalDimension(
+ name=name,
+ command=command,
+ parse=fields.get("parse", "json"), # type: ignore[arg-type]
+ weight=float(fields.get("weight", "1.0")),
+ timeout=float(fields.get("timeout", "300")),
+ description=fields.get("description", ""),
+ )
+ )
return dims
@@ -152,12 +165,12 @@ def _parse_inner_loop(items: str | list[str] | float) -> InnerLoopConfig | None:
aggregate=AggregateMethod(str(kv.get("aggregate", "mean"))),
plateau_threshold=int(str(kv.get("plateau_threshold", "3"))),
max_inner_runs_per_cycle=(
- int(str(kv["max_inner_runs_per_cycle"]))
- if "max_inner_runs_per_cycle" in kv
- else None
+ int(str(kv["max_inner_runs_per_cycle"])) if "max_inner_runs_per_cycle" in kv else None
),
)
- log.debug("inner_loop_parsed", runs_per_cycle=config.runs_per_cycle, aggregate=config.aggregate.value)
+ log.debug(
+ "inner_loop_parsed", runs_per_cycle=config.runs_per_cycle, aggregate=config.aggregate.value
+ )
return config
@@ -217,11 +230,13 @@ def _parse_hard_constraints(items: str | list[str] | float) -> list[HardConstrai
check = fields.get("check", "")
if not name or not check:
continue
- constraints.append(HardConstraint(
- name=name,
- check=check,
- description=fields.get("description", ""),
- ))
+ constraints.append(
+ HardConstraint(
+ name=name,
+ check=check,
+ description=fields.get("description", ""),
+ )
+ )
return constraints
@@ -237,6 +252,108 @@ def _parse_tier_weights(items: str | list[str] | float) -> TierWeights | None:
return TierWeights(**filtered)
+def _parse_adversarial(items: str | list[str] | float) -> AdversarialConfig | None:
+ """Parse adversarial config from factory.md.
+
+ Expects dot-notation key-value pairs like:
+ - generator.eval_command: python eval/score_gen.py
+ - generator.metric_name: evasion_rate
+ - generator.threshold: 0.4
+ - discriminator.eval_command: python eval/score_disc.py
+ - discriminator.metric_name: recall_specificity
+ - discriminator.threshold: 0.8
+ - hysteresis: 3
+ - convergence_window: 5
+ """
+ if not isinstance(items, list):
+ return None
+
+ gen_kv: dict[str, str] = {}
+ disc_kv: dict[str, str] = {}
+ top_kv: dict[str, str] = {}
+
+ for item in items:
+ s = str(item).strip()
+ if ":" not in s:
+ continue
+ key, val = s.split(":", 1)
+ key = key.strip()
+ val = val.strip()
+ if key.startswith("generator."):
+ gen_kv[key.removeprefix("generator.")] = val
+ elif key.startswith("discriminator."):
+ disc_kv[key.removeprefix("discriminator.")] = val
+ else:
+ top_kv[key] = val
+
+ if not gen_kv.get("eval_command") or not disc_kv.get("eval_command"):
+ return None
+
+ try:
+ generator = AdversarialComponent(
+ role="generator",
+ eval_command=gen_kv["eval_command"],
+ metric_name=gen_kv.get("metric_name", "generator_score"),
+ threshold=float(gen_kv.get("threshold", "0.5")),
+ scope=[s.strip() for s in gen_kv.get("scope", "").split(",") if s.strip()],
+ timeout=float(gen_kv.get("timeout", "300")),
+ )
+ discriminator = AdversarialComponent(
+ role="discriminator",
+ eval_command=disc_kv["eval_command"],
+ metric_name=disc_kv.get("metric_name", "discriminator_score"),
+ threshold=float(disc_kv.get("threshold", "0.5")),
+ scope=[s.strip() for s in disc_kv.get("scope", "").split(",") if s.strip()],
+ timeout=float(disc_kv.get("timeout", "300")),
+ )
+ config = AdversarialConfig(
+ generator=generator,
+ discriminator=discriminator,
+ hysteresis=int(top_kv.get("hysteresis", "3")),
+ max_rounds=int(top_kv["max_rounds"]) if "max_rounds" in top_kv else None,
+ convergence_window=int(top_kv.get("convergence_window", "5")),
+ )
+ log.debug(
+ "adversarial_parsed",
+ gen_cmd=generator.eval_command,
+ disc_cmd=discriminator.eval_command,
+ hysteresis=config.hysteresis,
+ )
+ return config
+ except (ValueError, KeyError, TypeError) as exc:
+ log.warning("adversarial_parse_failed", error=str(exc))
+ return None
+
+
+def _parse_parallel(items: str | list[str] | float) -> ParallelConfig | None:
+ """Parse parallel experiments config from factory.md."""
+ if not items:
+ return None
+ lines = items if isinstance(items, list) else [str(items)]
+ kwargs: dict[str, Any] = {}
+ for line in lines:
+ line = str(line).strip()
+ if ":" in line:
+ key, _, val = line.partition(":")
+ key = key.strip().lower().replace(" ", "_")
+ val = val.strip()
+ if key == "parallel_hypotheses":
+ try:
+ kwargs["parallel_hypotheses"] = int(val)
+ except ValueError:
+ pass
+ elif key == "selection_strategy":
+ if val in ("best_score",):
+ kwargs["selection_strategy"] = val
+ if not kwargs:
+ return None
+ try:
+ return ParallelConfig(**kwargs)
+ except (ValueError, TypeError) as exc:
+ log.warning("parallel_parse_failed", error=str(exc))
+ return None
+
+
class ExperimentStore:
"""Manages the .factory/ directory for a project."""
@@ -286,6 +403,8 @@ async def reparse_config(self) -> FactoryConfig:
"multi-run": "inner_loop",
"multi_run": "inner_loop",
"surface_scoping": "outer_loop_surfaces",
+ "parallel experiments": "parallel_experiments",
+ "parallel": "parallel",
}
def _flush_list() -> None:
@@ -355,13 +474,21 @@ def _flush_list() -> None:
eval_spec = list(es_raw) if isinstance(es_raw, list) else []
hygiene_tier_weights = _parse_tier_weights(parsed.get("hygiene_weights", []))
growth_tier_weights = _parse_tier_weights(parsed.get("growth_weights", []))
+ adversarial = _parse_adversarial(parsed.get("adversarial", []))
+ parallel = _parse_parallel(parsed.get("parallel_experiments", parsed.get("parallel", [])))
clean_pr_raw = parsed.get("clean_pr", "")
- clean_pr = str(clean_pr_raw).strip().lower() in ("true", "yes", "1") if clean_pr_raw else False
+ clean_pr = (
+ str(clean_pr_raw).strip().lower() in ("true", "yes", "1") if clean_pr_raw else False
+ )
clean_pr_include_raw = parsed.get("clean_pr_include", [])
- clean_pr_include = list(clean_pr_include_raw) if isinstance(clean_pr_include_raw, list) else []
+ clean_pr_include = (
+ list(clean_pr_include_raw) if isinstance(clean_pr_include_raw, list) else []
+ )
clean_pr_exclude_raw = parsed.get("clean_pr_exclude", [])
- clean_pr_exclude = list(clean_pr_exclude_raw) if isinstance(clean_pr_exclude_raw, list) else []
+ clean_pr_exclude = (
+ list(clean_pr_exclude_raw) if isinstance(clean_pr_exclude_raw, list) else []
+ )
test_timeout_raw = parsed.get("test_timeout", "")
try:
@@ -379,7 +506,9 @@ def _flush_list() -> None:
eval_command=str(parsed.get("eval_command", "")),
eval_threshold=float(parsed.get("eval_threshold", 0.0)), # type: ignore[arg-type]
constraints=list(parsed.get("constraints", [])), # type: ignore[arg-type]
- hypothesis_budget=HypothesisBudget(**budget_kwargs) if budget_kwargs else HypothesisBudget(), # type: ignore[arg-type]
+ hypothesis_budget=HypothesisBudget(**budget_kwargs) # type: ignore[arg-type]
+ if budget_kwargs
+ else HypothesisBudget(),
target_branch=str(parsed.get("target_branch", "main")),
smoke_test=smoke_test,
project_eval=project_eval_dims,
@@ -395,6 +524,8 @@ def _flush_list() -> None:
eval_spec=eval_spec,
hygiene_weights=hygiene_tier_weights,
growth_weights=growth_tier_weights,
+ adversarial=adversarial,
+ parallel=parallel,
clean_pr=clean_pr,
clean_pr_include=clean_pr_include,
clean_pr_exclude=clean_pr_exclude,
@@ -413,11 +544,7 @@ async def next_id(self) -> int:
if not experiments_dir.exists():
log.debug("next_id_no_experiments_dir")
return 1
- ids = [
- int(d.name)
- for d in experiments_dir.iterdir()
- if d.is_dir() and d.name.isdigit()
- ]
+ ids = [int(d.name) for d in experiments_dir.iterdir() if d.is_dir() and d.name.isdigit()]
next_val = max(ids) + 1 if ids else 1
log.debug("next_id_computed", next_id=next_val, existing_count=len(ids))
return next_val
@@ -441,39 +568,13 @@ async def begin(self, hypothesis: str) -> int:
try:
from factory.registry import register_project
+
register_project(self.project_path)
except Exception as exc:
log.debug("registry_begin_failed", error=str(exc))
return exp_id
- async def save_eval(
- self,
- exp_id: int,
- phase: Literal["before", "after"],
- score: CompositeScore,
- ) -> None:
- """Write eval_before.json or eval_after.json into the experiment dir."""
- log.debug("save_eval", exp_id=exp_id, phase=phase, score=score.total)
- exp_dir = self.factory_dir / "experiments" / f"{exp_id:03d}"
- filename = f"eval_{phase}.json"
- (exp_dir / filename).write_text(
- json.dumps(score.model_dump(), indent=2, default=str) + "\n"
- )
-
- async def save_diff(self, exp_id: int) -> None:
- """Capture git diff HEAD~1 into changes.diff."""
- log.debug("save_diff", exp_id=exp_id)
- exp_dir = self.factory_dir / "experiments" / f"{exp_id:03d}"
- result = subprocess.run(
- ["git", "diff", "HEAD~1"],
- cwd=self.project_path,
- capture_output=True,
- text=True,
- timeout=30,
- )
- (exp_dir / "changes.diff").write_text(result.stdout)
-
async def finalize(self, exp_id: int, record: ExperimentRecord) -> None:
"""Write verdict.json and append row to results.tsv.
@@ -505,24 +606,27 @@ async def finalize(self, exp_id: int, record: ExperimentRecord) -> None:
tsv_path = self.factory_dir / "results.tsv"
with open(tsv_path, "a", newline="") as f:
writer = csv.writer(f, dialect="excel-tab")
- writer.writerow([
- record.id,
- record.timestamp.isoformat(),
- record.hypothesis,
- record.change_summary,
- record.issue_number if record.issue_number is not None else "",
- record.pr_number if record.pr_number is not None else "",
- record.score_before if record.score_before is not None else "",
- record.score_after if record.score_after is not None else "",
- delta if delta is not None else "",
- record.verdict,
- record.cost_usd if record.cost_usd is not None else "",
- record.notes,
- "|".join(record.research_citations) if record.research_citations else "",
- ])
+ writer.writerow(
+ [
+ record.id,
+ record.timestamp.isoformat(),
+ record.hypothesis,
+ record.change_summary,
+ record.issue_number if record.issue_number is not None else "",
+ record.pr_number if record.pr_number is not None else "",
+ record.score_before if record.score_before is not None else "",
+ record.score_after if record.score_after is not None else "",
+ delta if delta is not None else "",
+ record.verdict,
+ record.cost_usd if record.cost_usd is not None else "",
+ record.notes,
+ "|".join(record.research_citations) if record.research_citations else "",
+ ]
+ )
try:
from factory.registry import update_project_stats
+
update_project_stats(
self.project_path,
experiment_count=record.id,
@@ -539,10 +643,11 @@ async def load_history(self) -> list[ExperimentRecord]:
return []
records: list[ExperimentRecord] = []
- valid_verdicts = {"keep", "revert", "error"}
+ valid_verdicts = {"keep", "revert", "error", "superseded"}
with open(tsv_path, newline="") as f:
reader = csv.DictReader(f, dialect="excel-tab")
for row in reader:
+
def _safe_int(val: str) -> int | None:
if not val or val in ("-", "n/a"):
return None
@@ -571,21 +676,23 @@ def _safe_float(val: str) -> float | None:
else []
)
- records.append(ExperimentRecord(
- id=int(row["id"]),
- timestamp=datetime.fromisoformat(row["timestamp"]),
- hypothesis=row["hypothesis"],
- change_summary=row["change_summary"],
- issue_number=_safe_int(row["issue_number"]),
- pr_number=_safe_int(row["pr_number"]),
- score_before=_safe_float(row["score_before"]),
- score_after=_safe_float(row["score_after"]),
- delta=_safe_float(row["delta"]),
- verdict=verdict_raw, # type: ignore[arg-type]
- cost_usd=_safe_float(row["cost_usd"]),
- notes=row["notes"],
- research_citations=citations,
- ))
+ records.append(
+ ExperimentRecord(
+ id=int(row["id"]),
+ timestamp=datetime.fromisoformat(row["timestamp"]),
+ hypothesis=row["hypothesis"],
+ change_summary=row["change_summary"],
+ issue_number=_safe_int(row["issue_number"]),
+ pr_number=_safe_int(row["pr_number"]),
+ score_before=_safe_float(row["score_before"]),
+ score_after=_safe_float(row["score_after"]),
+ delta=_safe_float(row["delta"]),
+ verdict=verdict_raw, # type: ignore[arg-type]
+ cost_usd=_safe_float(row["cost_usd"]),
+ notes=row["notes"],
+ research_citations=citations,
+ )
+ )
log.debug("load_history_complete", record_count=len(records))
return records
@@ -605,7 +712,9 @@ async def read_config(self) -> FactoryConfig:
"Run 'factory init --reparse' to regenerate it from factory.md."
) from exc
try:
- return FactoryConfig.model_validate(data, strict=False) # strict=False needed to coerce enum strings from JSON (e.g. AggregateMethod)
+ return FactoryConfig.model_validate(
+ data, strict=False
+ ) # strict=False needed to coerce enum strings from JSON (e.g. AggregateMethod)
except (ValidationError, TypeError, KeyError) as exc:
raise ValueError(
f"{config_path} failed validation: {exc}. "
@@ -641,10 +750,3 @@ async def read_strategy(self) -> str | None:
return None
log.debug("read_strategy_loaded", path=str(strategy_path))
return strategy_path.read_text()
-
- async def write_strategy(self, content: str) -> None:
- """Write strategy/current.md."""
- log.info("write_strategy", content_length=len(content))
- strategy_path = self.factory_dir / "strategy" / "current.md"
- strategy_path.parent.mkdir(parents=True, exist_ok=True)
- strategy_path.write_text(content)
diff --git a/factory/strategy.py b/factory/strategy.py
index 92cb69e19..87803f005 100644
--- a/factory/strategy.py
+++ b/factory/strategy.py
@@ -21,7 +21,6 @@
import structlog
-from factory.models import ExperimentRecord
log = structlog.get_logger()
@@ -30,13 +29,30 @@
# ── keywords per category (lowercase) ───────────────────────────────
_FIX_KEYWORDS: list[str] = [
- "fix", "error", "bug", "crash", "fail", "regression", "broken", "repair",
+ "fix",
+ "error",
+ "bug",
+ "crash",
+ "fail",
+ "regression",
+ "broken",
+ "repair",
]
_EXPLOIT_KEYWORDS: list[str] = [
- "improve", "increase", "extend", "enhance", "build on", "optimize", "boost",
+ "improve",
+ "increase",
+ "extend",
+ "enhance",
+ "build on",
+ "optimize",
+ "boost",
]
_COMBINE_KEYWORDS: list[str] = [
- "combine", "merge", "integrate", "unify", "consolidate",
+ "combine",
+ "merge",
+ "integrate",
+ "unify",
+ "consolidate",
]
@@ -79,141 +95,6 @@ def categorize_hypothesis(
return FEECCategory.EXPLORE
-def rank_hypotheses(hypotheses: list[dict]) -> list[dict]:
- """Sort *hypotheses* by FEEC priority (Fix > Exploit > Explore > Combine).
-
- Each dict must contain a ``"description"`` key whose value is used for
- categorization. A ``"category"`` key is injected (or overwritten) with
- the resolved :class:`FEECCategory` name.
-
- The sort is **stable**: hypotheses in the same category keep their
- original relative order.
- """
- for h in hypotheses:
- cat = categorize_hypothesis(h.get("description", ""))
- h["category"] = cat.name
- ranked = sorted(hypotheses, key=lambda h: FEECCategory[h["category"]].value)
- log.info(
- "rank_hypotheses",
- count=len(ranked),
- order=[h["category"] for h in ranked],
- )
- return ranked
-
-
-def detect_stuck(
- history: list[dict],
- threshold: int = 3,
-) -> bool:
- """Return ``True`` when the last *threshold* consecutive reverts share a category.
-
- Each entry in *history* must have ``"verdict"`` and ``"hypothesis"`` keys.
- Only entries whose verdict is ``"revert"`` are considered consecutive; a
- ``"keep"`` verdict resets the streak.
- """
- if len(history) < threshold:
- return False
-
- # Walk backwards through history collecting consecutive reverts
- consecutive_reverts: list[FEECCategory] = []
- for entry in reversed(history):
- if entry.get("verdict") != "revert":
- break
- cat = categorize_hypothesis(entry.get("hypothesis", ""))
- consecutive_reverts.append(cat)
-
- if len(consecutive_reverts) < threshold:
- return False
-
- # Check if the last `threshold` reverts are all in the same category
- tail = consecutive_reverts[:threshold]
- stuck = len(set(tail)) == 1
- if stuck:
- log.warning(
- "stuck_detected",
- category=tail[0].name,
- consecutive=len(tail),
- )
- return stuck
-
-
-# ── plateau detection ────────────────────────────────────────────
-
-
-def detect_research_plateau(
- run_summaries: list[dict],
- threshold: int = 3,
-) -> bool:
- """Return ``True`` when the last *threshold* cycles showed no metric improvement.
-
- *run_summaries* should be ordered oldest-first. Each dict must contain a
- ``metric_value`` key. Requires at least ``threshold + 1`` entries (one
- baseline plus *threshold* cycles).
- """
- if threshold <= 0:
- return False
-
- if len(run_summaries) < threshold + 1:
- return False
-
- pre_window = run_summaries[:-threshold]
- best_before = max(s["metric_value"] for s in pre_window)
-
- window = run_summaries[-threshold:]
- best_in_window = max(s["metric_value"] for s in window)
-
- plateaued = best_in_window <= best_before
- if plateaued:
- log.warning(
- "plateau_detected",
- threshold=threshold,
- best_before=best_before,
- best_in_window=best_in_window,
- )
- return plateaued
-
-
-def detect_plateau(
- history: list[ExperimentRecord],
- threshold: int = 3,
-) -> bool:
- """Return ``True`` if the last *threshold* consecutive experiments showed no metric improvement.
-
- "No improvement" means the ``score_after`` did not exceed the running best
- score at that point in the history. Experiments without a ``score_after``
- are skipped (not counted toward the streak).
-
- Returns ``False`` if there are fewer than *threshold* scored experiments.
- """
- scored = [r for r in history if r.score_after is not None]
- if len(scored) < threshold:
- return False
-
- # Walk the scored history and compute whether each experiment improved
- # over the previous best.
- best = scored[0].score_after
- assert best is not None # guaranteed by filter above
- no_improvement_streak = 0
-
- for record in scored[1:]:
- assert record.score_after is not None
- if record.score_after > best:
- best = record.score_after
- no_improvement_streak = 0
- else:
- no_improvement_streak += 1
-
- plateau = no_improvement_streak >= threshold
- if plateau:
- log.warning(
- "plateau_detected",
- streak=no_improvement_streak,
- threshold=threshold,
- best_score=best,
- )
- return plateau
-
-
# ── hypothesis similarity ────────────────────────────────────────
@@ -264,6 +145,42 @@ def find_anti_patterns(
return matches
+# ── plateau detection ────────────────────────────────────────────
+
+
+def detect_research_plateau(
+ run_summaries: list[dict],
+ threshold: int = 3,
+) -> bool:
+ """Return ``True`` when the last *threshold* cycles showed no metric improvement.
+
+ *run_summaries* should be ordered oldest-first. Each dict must contain a
+ ``metric_value`` key. Requires at least ``threshold + 1`` entries (one
+ baseline plus *threshold* cycles).
+ """
+ if threshold <= 0:
+ return False
+
+ if len(run_summaries) < threshold + 1:
+ return False
+
+ pre_window = run_summaries[:-threshold]
+ best_before = max(s["metric_value"] for s in pre_window)
+
+ window = run_summaries[-threshold:]
+ best_in_window = max(s["metric_value"] for s in window)
+
+ plateaued = best_in_window <= best_before
+ if plateaued:
+ log.warning(
+ "plateau_detected",
+ threshold=threshold,
+ best_before=best_before,
+ best_in_window=best_in_window,
+ )
+ return plateaued
+
+
# ── 3-tier experiment history ───────────────────────────────────
diff --git a/factory/study.py b/factory/study.py
index fac065a96..749d31320 100644
--- a/factory/study.py
+++ b/factory/study.py
@@ -18,8 +18,18 @@
def _find_source_files(project_path: Path, language: str) -> list[Path]:
"""Find source files (excluding tests, venvs, generated code)."""
skip_dirs = {
- "tests", "test", ".venv", "venv", "node_modules", "__pycache__",
- ".git", ".factory", "eval", "dist", "build", ".mypy_cache",
+ "tests",
+ "test",
+ ".venv",
+ "venv",
+ "node_modules",
+ "__pycache__",
+ ".git",
+ ".factory",
+ "eval",
+ "dist",
+ "build",
+ ".mypy_cache",
}
ext = {
"python": ".py",
@@ -87,13 +97,13 @@ def _analyze_file_observability(path: Path, language: str) -> dict:
# Count log statements
log_patterns = [
- r"\blogger\.\w+\(", # logger.info(), logger.error(), etc.
- r"\blogging\.\w+\(", # logging.info(), etc.
- r"\blog\.\w+\(", # log.info(), etc.
- r"\bconsole\.\w+\(", # console.log(), etc. (JS/TS)
- r"\bprint\(", # print() as logging (weak signal)
- r"\bslog\.\w+\(", # Go slog
- r"\btracing::\w+!", # Rust tracing
+ r"\blogger\.\w+\(", # logger.info(), logger.error(), etc.
+ r"\blogging\.\w+\(", # logging.info(), etc.
+ r"\blog\.\w+\(", # log.info(), etc.
+ r"\bconsole\.\w+\(", # console.log(), etc. (JS/TS)
+ r"\bprint\(", # print() as logging (weak signal)
+ r"\bslog\.\w+\(", # Go slog
+ r"\btracing::\w+!", # Rust tracing
]
log_stmt_count = 0
for p in log_patterns:
@@ -270,9 +280,7 @@ def _analyze_observability(project_path: Path, language: str = "python") -> dict
)
if gaps:
top_gaps = gaps[:5]
- recommendations.append(
- f"Add logging to uninstrumented files: {', '.join(top_gaps)}"
- )
+ recommendations.append(f"Add logging to uninstrumented files: {', '.join(top_gaps)}")
if not recommendations:
recommendations.append("Observability looks good — all key patterns present")
@@ -314,7 +322,7 @@ def _extract_backlog_bullets(content: str) -> list[str]:
stripped = line.strip()
m = _BULLET_PREFIX_RE.match(stripped)
if m:
- item_text = stripped[m.end():].strip()
+ item_text = stripped[m.end() :].strip()
if item_text:
items.append(item_text)
@@ -346,7 +354,7 @@ def _parse_backlog_items(project_path: Path) -> list[str]:
stripped = line.strip()
m = _BULLET_PREFIX_RE.match(stripped)
if m:
- item_text = stripped[m.end():].strip()
+ item_text = stripped[m.end() :].strip()
if item_text and item_text not in seen:
items.append(item_text)
seen.add(item_text)
@@ -403,7 +411,7 @@ def remove_backlog_item(project_path: Path, item_text: str) -> bool:
for line in content.splitlines():
stripped = line.strip()
m = _BULLET_PREFIX_RE.match(stripped)
- if m and stripped[m.end():].strip() == item_text:
+ if m and stripped[m.end() :].strip() == item_text:
found = True
continue
if stripped:
@@ -435,7 +443,7 @@ def add_backlog_item(project_path: Path, item_text: str) -> bool:
stripped = line.strip()
m = _BULLET_PREFIX_RE.match(stripped)
if m:
- existing.add(stripped[m.end():].strip())
+ existing.add(stripped[m.end() :].strip())
except OSError:
pass
@@ -551,13 +559,69 @@ def _extract_keywords(project_path: Path) -> list[str]:
# Remove common stop words and short tokens, keep meaningful words
stop_words = {
- "a", "an", "the", "is", "are", "was", "were", "be", "been", "being",
- "have", "has", "had", "do", "does", "did", "will", "would", "could",
- "should", "may", "might", "shall", "can", "to", "of", "in", "for",
- "on", "with", "at", "by", "from", "as", "into", "through", "and",
- "but", "or", "nor", "not", "so", "yet", "both", "either", "neither",
- "this", "that", "these", "those", "it", "its", "my", "your", "his",
- "her", "our", "their", "what", "which", "who", "whom", "how",
+ "a",
+ "an",
+ "the",
+ "is",
+ "are",
+ "was",
+ "were",
+ "be",
+ "been",
+ "being",
+ "have",
+ "has",
+ "had",
+ "do",
+ "does",
+ "did",
+ "will",
+ "would",
+ "could",
+ "should",
+ "may",
+ "might",
+ "shall",
+ "can",
+ "to",
+ "of",
+ "in",
+ "for",
+ "on",
+ "with",
+ "at",
+ "by",
+ "from",
+ "as",
+ "into",
+ "through",
+ "and",
+ "but",
+ "or",
+ "nor",
+ "not",
+ "so",
+ "yet",
+ "both",
+ "either",
+ "neither",
+ "this",
+ "that",
+ "these",
+ "those",
+ "it",
+ "its",
+ "my",
+ "your",
+ "his",
+ "her",
+ "our",
+ "their",
+ "what",
+ "which",
+ "who",
+ "whom",
+ "how",
}
words = re.findall(r"[a-zA-Z]{3,}", text.lower())
keywords = [w for w in words if w not in stop_words]
@@ -587,9 +651,14 @@ def _search_similar_projects(project_path: Path) -> list[dict]:
try:
result = subprocess.run(
[
- "gh", "search", "repos", query,
- "--limit", "5",
- "--json", "fullName,url,description,stargazersCount",
+ "gh",
+ "search",
+ "repos",
+ query,
+ "--limit",
+ "5",
+ "--json",
+ "fullName,url,description,stargazersCount",
],
capture_output=True,
text=True,
@@ -644,10 +713,15 @@ def _fetch_open_issues(project_path: Path) -> list[dict]:
try:
result = subprocess.run(
[
- "gh", "issue", "list",
- "--state", "open",
- "--limit", "20",
- "--json", "number,title,labels,body,author",
+ "gh",
+ "issue",
+ "list",
+ "--state",
+ "open",
+ "--limit",
+ "20",
+ "--json",
+ "number,title,labels,body,author",
],
capture_output=True,
text=True,
@@ -723,7 +797,7 @@ def _read_obsidian_notes(project_name: str) -> list[str]:
if content.startswith("---"):
end = content.find("---", 3)
if end != -1:
- content = content[end + 3:].strip()
+ content = content[end + 3 :].strip()
summary = content[:200].strip()
if summary:
file_summaries.append(summary)
@@ -738,7 +812,7 @@ def _read_obsidian_notes(project_name: str) -> list[str]:
if content.startswith("---"):
end = content.find("---", 3)
if end != -1:
- content = content[end + 3:].strip()
+ content = content[end + 3 :].strip()
summary = content[:200].strip()
if summary:
file_summaries.append(summary)
@@ -754,7 +828,7 @@ def _read_obsidian_notes(project_name: str) -> list[str]:
if content.startswith("---"):
end = content.find("---", 3)
if end != -1:
- content = content[end + 3:].strip()
+ content = content[end + 3 :].strip()
summary = content[:200].strip()
if summary:
file_summaries.append(summary)
@@ -766,10 +840,9 @@ def _read_obsidian_notes(project_name: str) -> list[str]:
def _detect_self_improvement(project_path: Path) -> bool:
"""Return True if the target project is the factory itself."""
- return (
- (project_path / "factory" / "cli.py").exists()
- and (project_path / "factory" / "insights.py").exists()
- )
+ return (project_path / "factory" / "cli.py").exists() and (
+ project_path / "factory" / "insights.py"
+ ).exists()
def _load_cross_project_insights(
@@ -779,10 +852,10 @@ def _load_cross_project_insights(
"""Load and format cross-project insights. Writes insights.md as side effect."""
from factory.insights import (
analyze,
- discover_projects,
format_insights,
load_all_histories,
)
+ from factory.registry import discover_projects
project_paths = discover_projects(projects_dir)
if not project_paths:
@@ -815,13 +888,9 @@ def _load_cross_project_insights(
]
if insights.winning_categories:
- summary_lines.append(
- f"**Winning categories:** {', '.join(insights.winning_categories)}"
- )
+ summary_lines.append(f"**Winning categories:** {', '.join(insights.winning_categories)}")
if insights.losing_categories:
- summary_lines.append(
- f"**Risky categories:** {', '.join(insights.losing_categories)}"
- )
+ summary_lines.append(f"**Risky categories:** {', '.join(insights.losing_categories)}")
if insights.patterns:
summary_lines.append("")
summary_lines.append("**Patterns:**")
@@ -833,35 +902,21 @@ def _load_cross_project_insights(
return "\n".join(summary_lines)
-def study_project_local(
- project_path: Path, *, focus: str | None = None, **kwargs: object
-) -> str:
- """Read interaction logs and produce an observations summary (local only)."""
- log_files = _find_log_files(project_path)
-
- all_messages: list[dict] = []
- for lf in log_files:
- all_messages.extend(_extract_messages(lf))
-
- # Categorize
- user_msgs = [m for m in all_messages if m["role"] == "user"]
- errors = [m for m in all_messages if m["role"] == "error"]
-
- lines = [
- f"# Interaction Study — {project_path.name}",
- "",
- ]
-
+def _build_log_analysis_section(
+ log_files: list[Path],
+ all_messages: list[dict],
+ user_msgs: list[dict],
+ errors: list[dict],
+) -> list[str]:
+ lines: list[str] = []
if log_files:
lines.append(
- f"Analyzed {len(log_files)} conversation log(s), "
- f"{len(all_messages)} relevant messages."
+ f"Analyzed {len(log_files)} conversation log(s), {len(all_messages)} relevant messages."
)
lines.append("")
lines.append(f"## User Messages ({len(user_msgs)})")
for m in user_msgs:
lines.append(f"- {m['text'][:200]}")
-
lines.extend([
"",
f"## Errors and Issues ({len(errors)})",
@@ -870,10 +925,12 @@ def study_project_local(
lines.append(f"- {m['text'][:200]}")
else:
lines.append("No interaction logs found.")
+ return lines
+
- # Similar projects from GitHub
+def _build_similar_projects_section(project_path: Path) -> list[str]:
similar = _search_similar_projects(project_path)
- lines.extend(["", "## Similar Projects"])
+ lines = ["", "## Similar Projects"]
if similar:
for proj in similar:
stars = proj.get("stars", 0)
@@ -882,42 +939,40 @@ def study_project_local(
lines.append(f"- [{proj['name']}]({proj['url']}) ({stars} stars){desc_part}")
else:
lines.append("No similar projects found.")
+ return lines
- # SPEC.md status
+
+
+def _build_spec_section(project_path: Path) -> list[str]:
from factory.discovery.spec import resolve_spec
- spec_path, spec_source = resolve_spec(project_path)
- lines.extend(["", "## SPEC.md"])
- if spec_source == "committed":
- lines.append(
- "SPEC.md found at project root (committed). "
- "The Strategist SHOULD use SPEC.md Diff for plan traceability."
- )
- elif spec_source == "generated":
+ spec_path = resolve_spec(project_path)
+ lines = ["", "## SPEC"]
+ if spec_path is not None:
lines.append(
- "SPEC.md auto-generated at .factory/SPEC.md. "
- "The Strategist SHOULD use SPEC.md Diff for plan traceability."
+ "SPEC.md found at project root. "
+ "The Strategist SHOULD use SPEC Diff for plan traceability."
)
else:
- lines.append(
- "No SPEC.md found. Run 'factory discover <path>' to generate one "
- "at .factory/SPEC.md."
- )
+ lines.append("No SPEC.md found. Run 'factory spec generate <path>' to generate one.")
if spec_path is not None:
try:
spec_lines = [
- ln for ln in spec_path.read_text().splitlines()
+ ln
+ for ln in spec_path.read_text().splitlines()
if ln.strip() and not ln.strip().startswith("# ")
]
if spec_lines:
lines.append("")
lines.append("**Spec summary:**")
- for sl in spec_lines[:5]:
+ for sl in spec_lines:
lines.append(f" {sl}")
except OSError:
pass
+ return lines
+
- # Open GitHub issues — split by ownership
+def _build_github_issues_section(project_path: Path) -> list[str]:
open_issues = _fetch_open_issues(project_path)
gh_user = _get_github_user()
@@ -931,75 +986,78 @@ def _format_issue_list(issues: list[dict]) -> list[str]:
if issue["labels"]:
label_str = f" [{', '.join(issue['labels'])}]"
author_str = f" (by @{issue['author']})" if issue["author"] else ""
- out.append(
- f"- **#{issue['number']}** {issue['title']}{label_str}{author_str}"
- )
+ out.append(f"- **#{issue['number']}** {issue['title']}{label_str}{author_str}")
if issue["body"]:
body_preview = issue["body"].replace("\n", " ").strip()
if body_preview:
out.append(f" > {body_preview}")
return out
- lines.extend(["", "## Open GitHub Issues"])
+ lines = ["", "## Open GitHub Issues"]
if not open_issues:
lines.append("No open issues found (or not a GitHub repo).")
else:
if own_issues:
- lines.extend([
- "",
- f"### Your Issues ({len(own_issues)}) — actionable, may generate fix hypotheses",
- "",
- ])
+ lines.extend(
+ [
+ "",
+ f"### Your Issues ({len(own_issues)}) — actionable, may generate fix hypotheses",
+ "",
+ ]
+ )
lines.extend(_format_issue_list(own_issues))
if community_issues:
- lines.extend([
- "",
- f"### Community Issues ({len(community_issues)}) — reference only, do NOT auto-fix",
- "",
- "These were filed by external contributors. Do not generate hypotheses for them "
- "unless explicitly targeted via --focus. If valuable, suggest the author creates a PR.",
- "",
- ])
+ lines.extend(
+ [
+ "",
+ f"### Community Issues ({len(community_issues)}) — reference only, do NOT auto-fix",
+ "",
+ "These were filed by external contributors. Do not generate hypotheses for them "
+ "unless explicitly targeted via --focus. If valuable, suggest the author creates a PR.",
+ "",
+ ]
+ )
lines.extend(_format_issue_list(community_issues))
if not own_issues and not community_issues:
lines.append("No open issues found (or not a GitHub repo).")
+ return lines
+
- # Backlog — unified queue of features/items to build
+def _build_backlog_section(
+ project_path: Path, focus: str | None, backlog_items: list[str],
+) -> list[str]:
_migrate_legacy_backlog(project_path)
- backlog_items = _parse_backlog_items(project_path)
- if backlog_items:
- _persist_backlog_items(project_path, backlog_items)
+ items = backlog_items or _parse_backlog_items(project_path)
+ if items:
+ _persist_backlog_items(project_path, items)
- lines.extend([
- "",
- "## Backlog",
- "",
- ])
+ lines = ["", "## Backlog", ""]
if focus:
- lines.append(
- f"**TARGETED MODE** — building exactly one item: {focus}",
- )
+ lines.append(f"**TARGETED MODE** — building exactly one item: {focus}")
lines.append("")
lines.append(f"- {focus}")
- elif backlog_items:
+ elif items:
lines.append(
- f"**{len(backlog_items)} items** in the backlog. "
+ f"**{len(items)} items** in the backlog. "
"Clear as many as possible this cycle.",
)
lines.append("")
- for item in backlog_items:
+ for item in items:
lines.append(f"- {item}")
else:
lines.append("Backlog is empty. Focus on new improvements and hygiene.")
+ return lines
- # Observability coverage analysis
+
+def _build_observability_section(project_path: Path) -> list[str]:
from factory.discovery.introspect import _detect_language
+
language = _detect_language(project_path)
obs = _analyze_observability(project_path, language)
- lines.extend(["", "## Observability Coverage"])
+ lines = ["", "## Observability Coverage"]
lines.append(f"- **Score:** {obs['observability_score']:.1%}")
lines.append(
f"- **Function coverage:** {obs['logged_functions']}/{obs['total_functions']} "
@@ -1020,25 +1078,34 @@ def _format_issue_list(issues: list[dict]) -> list[str]:
lines.extend(["", "### Observability Recommendations"])
for rec in obs["recommendations"]:
lines.append(f"- {rec}")
+ return lines
+
- # Prior knowledge from Obsidian vault
+def _build_prior_knowledge_section(project_path: Path) -> list[str]:
project_name = project_path.name
notes = _read_obsidian_notes(project_name)
- lines.extend(["", "## Prior Knowledge (Obsidian)"])
+ lines = ["", "## Prior Knowledge (Obsidian)"]
if notes:
for note in notes:
lines.append(f"- {note}")
else:
lines.append("No prior notes found.")
+ return lines
- # Cross-project insights
- projects_dir = kwargs.get("projects_dir")
+
+def _build_cross_project_insights_section(
+ project_path: Path, projects_dir: Path | None,
+) -> list[str]:
+ lines: list[str] = []
if projects_dir:
- insights_text = _load_cross_project_insights(project_path, Path(str(projects_dir)))
+ insights_text = _load_cross_project_insights(project_path, projects_dir)
if insights_text:
lines.extend(["", insights_text])
+ return lines
+
- # Self-improvement context
+def _build_self_improvement_section(project_path: Path) -> list[str]:
+ lines: list[str] = []
if _detect_self_improvement(project_path):
lines.extend([
"",
@@ -1061,29 +1128,31 @@ def _format_issue_list(issues: list[dict]) -> list[str]:
"",
"Prioritize: Self-evolution, Prompt engineering, Knowledge management.",
])
+ return lines
- # Hypothesis budget — backlog-first (overridden in targeted mode)
- lines.extend([
- "",
- "## Hypothesis Budget",
- "",
- ])
+
+def _build_hypothesis_budget_section(
+ project_path: Path, focus: str | None, backlog_items: list[str],
+) -> list[str]:
+ lines = ["", "## Hypothesis Budget", ""]
if focus:
- lines.extend([
- "**TARGETED MODE — single-item budget**",
- "",
- "**Backlog items: 1** (the focus target only)",
- "**New items: at most 0** (do not add new items)",
- "**Growth minimum: 0** (growth constraints suspended for targeted mode)",
- "",
- "### Rules",
- "",
- "- Generate exactly ONE hypothesis for the focus target.",
- "- Do NOT clear other backlog items this cycle.",
- "- Do NOT add new items.",
- "- FEEC category still applies for classifying the single hypothesis.",
- ])
+ lines.extend(
+ [
+ "**TARGETED MODE — single-item budget**",
+ "",
+ "**Backlog items: 1** (the focus target only)",
+ "**New items: at most 0** (do not add new items)",
+ "**Growth minimum: 0** (growth constraints suspended for targeted mode)",
+ "",
+ "### Rules",
+ "",
+ "- Generate exactly ONE hypothesis for the focus target.",
+ "- Do NOT clear other backlog items this cycle.",
+ "- Do NOT add new items.",
+ "- FEEC category still applies for classifying the single hypothesis.",
+ ]
+ )
else:
from factory.models import HypothesisBudget
@@ -1091,6 +1160,7 @@ def _format_issue_list(issues: list[dict]) -> list[str]:
config_path = project_path / ".factory" / "config.json"
if config_path.exists():
import json as _json
+
try:
cfg = _json.loads(config_path.read_text())
if "hypothesis_budget" in cfg:
@@ -1120,12 +1190,48 @@ def _format_issue_list(issues: list[dict]) -> list[str]:
"*Budget is configurable: set `min_growth`, `max_new` in factory.md under `## Hypothesis Budget`, "
"or pass `--min-growth`, `--max-new` on the CLI.*",
])
+ return lines
- return "\n".join(lines)
-
-def study_project(
+def study_project_local(
project_path: Path, *, focus: str | None = None, **kwargs: object
) -> str:
+ """Read interaction logs and produce an observations summary (local only)."""
+ log_files = _find_log_files(project_path)
+
+ all_messages: list[dict] = []
+ for lf in log_files:
+ all_messages.extend(_extract_messages(lf))
+
+ user_msgs = [m for m in all_messages if m["role"] == "user"]
+ errors = [m for m in all_messages if m["role"] == "error"]
+
+ backlog_items = _parse_backlog_items(project_path)
+ projects_dir = kwargs.get("projects_dir")
+ projects_dir_path = Path(str(projects_dir)) if projects_dir else None
+
+ lines = [f"# Interaction Study — {project_path.name}", ""]
+
+ lines.extend(_build_log_analysis_section(log_files, all_messages, user_msgs, errors))
+ lines.extend(_build_similar_projects_section(project_path))
+ lines.extend(_build_spec_section(project_path))
+ lines.extend(_build_github_issues_section(project_path))
+ lines.extend(_build_backlog_section(project_path, focus, backlog_items))
+ lines.extend(_build_observability_section(project_path))
+ lines.extend(_build_prior_knowledge_section(project_path))
+ lines.extend(_build_cross_project_insights_section(project_path, projects_dir_path))
+ lines.extend(_build_self_improvement_section(project_path))
+ lines.extend(_build_hypothesis_budget_section(project_path, focus, backlog_items))
+
+ from factory.mempalace.reader import mp_read as _mp_read
+
+ mp_context = _mp_read(project_path, task_hint=focus)
+ if mp_context:
+ lines.extend(["", "## Memory Context (MemPalace)", "", mp_context])
+
+ return "\n".join(lines)
+
+
+def study_project(project_path: Path, *, focus: str | None = None, **kwargs: object) -> str:
"""Study a project — local analysis. Deep research available via researcher subagent."""
return study_project_local(project_path, focus=focus, **kwargs)
diff --git a/factory/telemetry.py b/factory/telemetry.py
index 87f796e30..20549d44a 100644
--- a/factory/telemetry.py
+++ b/factory/telemetry.py
@@ -14,30 +14,43 @@
log = structlog.get_logger()
-try:
- from langfuse import Langfuse # type: ignore[import-not-found]
- from langfuse.types import TraceContext # type: ignore[import-not-found]
-
- _HAS_LANGFUSE = True
-except ImportError:
- _HAS_LANGFUSE = False
+_HAS_LANGFUSE: bool | None = None # None = not yet checked
+Langfuse: Any = None
+TraceContext: Any = None
_client: object | None = None
_observations: dict[str, Any] = {}
-_trace_names: dict[str, tuple[str, Any]] = {} # trace_id -> (name, input)
+
+
+def _ensure_langfuse_imported() -> bool:
+ """Attempt to import langfuse on first call, cache result."""
+ global _HAS_LANGFUSE, Langfuse, TraceContext
+ if _HAS_LANGFUSE is not None:
+ return _HAS_LANGFUSE
+ try:
+ from langfuse import Langfuse as _Langfuse
+ from langfuse.types import TraceContext as _TraceContext
+ Langfuse = _Langfuse
+ TraceContext = _TraceContext
+ _HAS_LANGFUSE = True
+ except ImportError:
+ _HAS_LANGFUSE = False
+ return _HAS_LANGFUSE
+
def is_enabled() -> bool:
"""Check if Langfuse is configured and lazily initialise the client."""
global _client
if _client is not None:
return True
- if not _HAS_LANGFUSE:
+ if not _ensure_langfuse_imported():
return False
- if not os.environ.get("LANGFUSE_HOST"):
+ host = os.environ.get("LANGFUSE_BASE_URL") or os.environ.get("LANGFUSE_HOST")
+ if not host:
return False
try:
_client = Langfuse()
- log.debug("langfuse_initialized", host=os.environ["LANGFUSE_HOST"])
+ log.debug("langfuse_initialized", host=host)
return True
except Exception as exc:
log.warning("langfuse_init_failed", error=str(exc))
@@ -50,53 +63,23 @@ def _get_client() -> Any:
return _client
-_trace_name_counter: int = 0
-
-
-def _update_trace_via_api(
- trace_id: str,
- name: str,
- input_data: object | None = None,
-) -> None:
- """Set trace name and input via the Langfuse ingestion API.
+def _set_trace_name_on_span(obs: Any, name: str, input_data: object | None = None) -> None:
+ """Set trace-level name and input via OTel span attributes.
- The v4 Python SDK derives trace names from observations, so we use
- the public ingestion batch endpoint to override it. Each call uses
- a unique event ID to avoid deduplication.
+ The v4 SDK reads ``langfuse.trace.name`` / ``langfuse.trace.input``
+ from span attributes and applies them to the parent trace on export.
"""
- global _trace_name_counter
- import urllib.request
- from datetime import datetime, timezone
-
- host = os.environ.get("LANGFUSE_HOST", "")
- pub_key = os.environ.get("LANGFUSE_PUBLIC_KEY", "")
- sec_key = os.environ.get("LANGFUSE_SECRET_KEY", "")
- if not host or not pub_key:
- return
try:
- import base64
- _trace_name_counter += 1
- auth = base64.b64encode(f"{pub_key}:{sec_key}".encode()).decode()
- inner: dict[str, Any] = {"id": trace_id, "name": name}
+ from langfuse._client.attributes import LangfuseOtelSpanAttributes
+ otel_span = getattr(obs, "_otel_span", None)
+ if otel_span is None or not otel_span.is_recording():
+ return
+ otel_span.set_attribute(LangfuseOtelSpanAttributes.TRACE_NAME, name)
if input_data is not None:
- inner["input"] = input_data
- body = {
- "batch": [{
- "id": f"trace-name-{trace_id[:8]}-{_trace_name_counter}",
- "type": "trace-create",
- "timestamp": datetime.now(timezone.utc).isoformat(),
- "body": inner,
- }],
- }
- req = urllib.request.Request(
- f"{host}/api/public/ingestion",
- data=json.dumps(body).encode(),
- headers={"Authorization": f"Basic {auth}", "Content-Type": "application/json"},
- method="POST",
- )
- urllib.request.urlopen(req, timeout=5)
+ serialized = json.dumps(input_data) if not isinstance(input_data, str) else input_data
+ otel_span.set_attribute(LangfuseOtelSpanAttributes.TRACE_INPUT, serialized)
except Exception:
- log.debug("langfuse_trace_update_failed", trace_id=trace_id, exc_info=True)
+ log.debug("langfuse_set_trace_name_failed", exc_info=True)
def begin_trace(
@@ -110,15 +93,21 @@ def begin_trace(
client = _get_client()
trace_name = f"factory:{project_name}/{cycle_id or 'cycle'}"
trace_input = {"project": project_name, "cycle_id": cycle_id}
+ metadata = {"model": model, "project": project_name}
+ benchmark = os.environ.get("FACTORY_BENCHMARK")
+ instance_id = os.environ.get("FACTORY_INSTANCE_ID")
+ if benchmark:
+ metadata["benchmark"] = benchmark
+ if instance_id:
+ metadata["instance_id"] = instance_id
obs = client.start_observation(
name=trace_name,
as_type="span",
input=trace_input,
- metadata={"model": model, "project": project_name},
+ metadata=metadata,
)
_observations[obs.id] = obs
- _trace_names[obs.trace_id] = (trace_name, trace_input)
- _update_trace_via_api(obs.trace_id, trace_name, trace_input)
+ _set_trace_name_on_span(obs, trace_name, trace_input)
log.debug("langfuse_trace_started", trace_id=obs.trace_id, span_id=obs.id)
return (obs.trace_id, obs.id)
@@ -204,7 +193,7 @@ def end_span(
def end_trace(trace_id: str, span_id: str | None = None, output: str | None = None) -> None:
- """Mark a root trace span as finished and re-assert trace name."""
+ """Mark a root trace span as finished."""
if not is_enabled():
return
sid = span_id or trace_id
@@ -213,28 +202,14 @@ def end_trace(trace_id: str, span_id: str | None = None, output: str | None = No
obs.update(output=output or {"status": "completed"})
obs.end()
_observations.pop(sid, None)
- saved = _trace_names.pop(trace_id, None)
- if saved:
- name, input_data = saved
- _update_trace_via_api(trace_id, name, input_data)
log.debug("langfuse_trace_ended", trace_id=trace_id)
def flush() -> None:
- """Flush any buffered Langfuse events and re-assert trace names.
-
- The SDK derives trace names from observations, so we flush twice:
- first to drain the SDK's queue, then reassert names via the API,
- then flush again to ensure our name update is the final write.
- """
+ """Flush any buffered Langfuse events."""
if _client is not None:
client = _get_client()
client.flush()
- _time.sleep(1.0)
- for trace_id, (name, input_data) in list(_trace_names.items()):
- _update_trace_via_api(trace_id, name, input_data)
- client.flush()
- _time.sleep(0.3)
# ---------------------------------------------------------------------------
@@ -242,9 +217,17 @@ def flush() -> None:
# ---------------------------------------------------------------------------
+def _get_claude_projects_dir() -> Path:
+ """Return the Claude Code projects directory, respecting CLAUDE_CONFIG_DIR."""
+ config_dir = os.environ.get("CLAUDE_CONFIG_DIR")
+ if config_dir:
+ return Path(config_dir) / "projects"
+ return Path.home() / ".claude" / "projects"
+
+
def _find_transcript(claude_session_id: str, project_path: Path) -> Path | None:
"""Locate a Claude Code transcript JSONL, trying multiple path patterns."""
- claude_dir = Path.home() / ".claude" / "projects"
+ claude_dir = _get_claude_projects_dir()
dir_name = str(project_path.resolve()).replace("/", "-").replace(".", "-")
direct = claude_dir / dir_name / f"{claude_session_id}.jsonl"
if direct.exists():
@@ -437,7 +420,7 @@ def ingest_transcript_to_span(
def _find_recent_transcript(project_path: Path, session_start: float) -> Path | None:
"""Find the most recently modified JSONL transcript after *session_start*."""
- claude_dir = Path.home() / ".claude" / "projects"
+ claude_dir = _get_claude_projects_dir()
dir_name = str(project_path.resolve()).replace("/", "-").replace(".", "-")
proj_dir = claude_dir / dir_name
if not proj_dir.exists():
@@ -533,10 +516,6 @@ def _run(self) -> None:
while not self._stop_event.is_set():
try:
self._ingest_new_lines()
- if self.trace_id:
- saved = _trace_names.get(self.trace_id)
- if saved:
- _update_trace_via_api(self.trace_id, saved[0], saved[1])
except Exception:
log.debug("tailer_ingest_error", exc_info=True)
self._stop_event.wait(self.POLL_INTERVAL)
diff --git a/factory/templates/factory_config.md b/factory/templates/factory_config.md
deleted file mode 100644
index 680a18215..000000000
--- a/factory/templates/factory_config.md
+++ /dev/null
@@ -1,134 +0,0 @@
-# Factory Configuration
-<!-- This file configures the Remote Factory for your project. -->
-<!-- The factory reads this during Init mode and generates .factory/config.json from it. -->
-<!-- Fill in each section below. -->
-
-## Goal
-<!-- A single sentence describing what this project should achieve. -->
-
-TODO: Describe the project goal here.
-
-## Scope
-
-### Modifiable
-<!-- Files and directories the factory is allowed to create or edit. -->
-<!-- One path per line. Glob patterns are supported. -->
-
-- src/**/*.py
-- tests/**/*.py
-
-### Read-only
-<!-- Files the factory may read but must never modify. -->
-
-- README.md
-- pyproject.toml
-
-## Guards
-<!-- Rules the factory must never violate. Checked before every commit. -->
-
-- Do not delete or overwrite existing tests
-- Do not modify files outside the declared scope
-- Do not introduce secrets or credentials into the repository
-
-## Eval
-
-### Command
-<!-- The shell command the factory runs to score a change. -->
-<!-- It must output JSON to stdout matching the EvalResult format. -->
-
-```bash
-python eval/score.py
-```
-
-### Threshold
-<!-- Minimum composite score (0.0-1.0) required to keep a change. -->
-
-0.8
-
-## Target Branch
-<!-- Branch that experiment PRs target. Default: main -->
-<!-- Set to a different branch (e.g. factory/dev) to stage factory changes before merging to main -->
-
-main
-
-## Project Eval
-<!-- User-defined project-specific eval dimensions (benchmarks, accuracy, latency, etc.) -->
-<!-- Each dimension starts with '- name:' followed by indented key: value lines -->
-<!-- Output format: JSON with {"score": 0.0-1.0} or exit code (0=pass, non-zero=fail) -->
-<!-- Example:
-- name: benchmark_accuracy
- command: python eval/benchmark.py
- parse: json
- weight: 0.5
- timeout: 300
- description: Run benchmark suite and report accuracy
--->
-
-## Eval Weights
-<!-- Weight distribution across eval tiers (must sum to 1.0) -->
-<!-- Only needed when Project Eval dimensions are defined -->
-<!-- Default without project eval: hygiene 0.50, growth 0.50 -->
-<!-- Default with project eval: hygiene 0.30, growth 0.20, project 0.50 -->
-<!-- Example:
-- hygiene: 0.25
-- growth: 0.25
-- project: 0.50
--->
-
-## Smoke Test
-<!-- Optional shell command that must pass before any change is kept. -->
-<!-- If configured, this runs as part of `factory precheck` — failure = mandatory revert. -->
-<!-- Use for e2e verification: hit an endpoint, run a CLI command, check a process starts. -->
-<!-- Example:
-```bash
-curl -sf http://localhost:8000/health
-```
--->
-
-## Constraints
-<!-- Soft rules that guide behavior but don't block commits. -->
-
-- Prefer small, incremental changes over large rewrites
-- Each change should be accompanied by at least one test
-- Follow the existing code style and conventions
-
-## Research Target
-<!-- Only for research/benchmark projects. Define the metric to improve. -->
-<!-- Example:
-- objective: maximize SWE-bench resolve rate
-- metric: resolved/total
-- target: 0.35
-- run_command: python run_benchmark.py
-- result_path: results/output.json
-- result_parser: json
-- timeout: 3600
--->
-
-## Mutable Surfaces
-<!-- Files the Builder is allowed to modify during research experiments. -->
-<!-- One glob pattern per line. Only used in research mode. -->
-<!-- Example:
-- src/**/*.py
-- config/*.yaml
--->
-
-## Fixed Surfaces
-<!-- Ground truth files, test data, eval infrastructure. -->
-<!-- These files are fingerprinted for leakage detection and MUST NOT be modified. -->
-<!-- One glob pattern per line. Only used in research mode. -->
-<!-- Example:
-- tests/gold/*.json
-- eval/**/*.py
-- data/benchmark/*.jsonl
--->
-
-## Research Constraints
-<!-- Additional rules for the research loop. Only used in research mode. -->
-<!-- Example:
-- Do not use GPT-4 (cost constraint)
-- Each experiment must complete within 30 minutes
--->
-
-## Cost Budget
-<!-- Per-cycle or total budget constraints for research experiments. -->
-<!-- Example: $5/cycle, $50 total -->
diff --git a/factory/templates/score.py b/factory/templates/score.py
deleted file mode 100644
index 1ecd010f6..000000000
--- a/factory/templates/score.py
+++ /dev/null
@@ -1,92 +0,0 @@
-#!/usr/bin/env python3
-"""Template eval script for the Remote Factory.
-
-This script is the entry point the factory calls to evaluate a change.
-It must print a JSON object to stdout with this shape:
-
- {"results": [{"name": str, "score": float, "weight": float, "passed": bool, "details": str}, ...]}
-
-Each function below runs one eval and returns a dict. Add your own
-project-specific evals by following the same pattern.
-
-Usage:
- python eval/score.py
-
-This script is standalone — it does NOT import anything from the factory package.
-"""
-
-import json
-import subprocess
-import sys
-
-
-def eval_tests() -> dict:
- """Run the test suite and score based on pass/fail."""
- try:
- result = subprocess.run(
- ["python", "-m", "pytest", "--tb=short", "-q"],
- capture_output=True,
- text=True,
- timeout=300,
- )
- passed = result.returncode == 0
- return {
- "name": "tests",
- "score": 1.0 if passed else 0.0,
- "weight": 0.5,
- "passed": passed,
- "details": result.stdout.strip()[-500:] if result.stdout else result.stderr.strip()[-500:],
- }
- except subprocess.TimeoutExpired:
- return {
- "name": "tests",
- "score": 0.0,
- "weight": 0.5,
- "passed": False,
- "details": "Test suite timed out after 300s",
- }
-
-
-def eval_lint() -> dict:
- """Run the linter and score based on clean output."""
- try:
- result = subprocess.run(
- ["python", "-m", "ruff", "check", "."],
- capture_output=True,
- text=True,
- timeout=60,
- )
- passed = result.returncode == 0
- lines = [line for line in result.stdout.strip().splitlines() if line.strip()]
- violation_count = max(0, len(lines) - 1)
- score = 1.0 if passed else max(0.0, 1.0 - (violation_count * 0.1))
- return {
- "name": "lint",
- "score": score,
- "weight": 0.3,
- "passed": passed,
- "details": result.stdout.strip()[-500:] if result.stdout else "No output",
- }
- except subprocess.TimeoutExpired:
- return {
- "name": "lint",
- "score": 0.0,
- "weight": 0.3,
- "passed": False,
- "details": "Linter timed out after 60s",
- }
-
-
-# Register all eval functions here.
-EVALS = [eval_tests, eval_lint]
-
-
-def main() -> None:
- results = [fn() for fn in EVALS]
- output = {"results": results}
- json.dump(output, sys.stdout, indent=2)
- print() # trailing newline
-
-
-if __name__ == "__main__":
- main()
diff --git a/factory/user_config.py b/factory/user_config.py
index d397d47e4..d6477ff78 100644
--- a/factory/user_config.py
+++ b/factory/user_config.py
@@ -22,6 +22,14 @@
_SENSITIVE_FRAGMENTS = ("key", "token", "secret", "password", "api_key")
+_PROTECTED_VARS = frozenset({
+ "PATH", "HOME", "USER", "SHELL", "TMPDIR", "TERM", "PWD",
+ "LD_PRELOAD", "LD_LIBRARY_PATH", "DYLD_INSERT_LIBRARIES",
+ "PYTHONPATH", "GOPATH", "CLASSPATH", "NODE_PATH",
+ "IFS",
+ "FACTORY_TRACE_ID", "FACTORY_PARENT_SPAN_ID",
+})
+
_cached_config: dict | None = None
_CONFIG_TEMPLATE = """\
@@ -31,40 +39,39 @@
# See: factory config show
[defaults]
-# runner = "claude" # CLI backend: "claude", "bob", or "codex"
+# runner = "claude" # CLI backend
# model = "" # Claude model for agent subprocesses
# projects_dir = "~/factory-projects" # Root for factory-managed projects
# tmux_persist = false # Launch agents in tmux windows
# bg = false # Dispatch agents via claude --bg (agent view)
# bg_agents = false # Background sub-agents only (CEO stays foreground)
+# remove_worktree = true # Set to false to retain run worktrees after sessions
# [credentials.vertex]
# FACTORY_RUNNER = "claude"
# ANTHROPIC_API_KEY = "sk-ant-..."
#
-# [credentials.bob]
-# FACTORY_RUNNER = "bob"
-# BOBSHELL_API_KEY = "..."
+# [credentials.litellm-proxy]
+# FACTORY_RUNNER = "claude"
+# FACTORY_MODEL = "your-model-name"
+# ANTHROPIC_BASE_URL = "https://your-litellm-proxy.example.com"
+# ANTHROPIC_API_KEY = "your-api-key-here"
+# CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC = "1"
#
-# [credentials.codex]
-# FACTORY_RUNNER = "codex"
-# CODEX_API_KEY = "..."
+# [credentials.litellm-proxy.unset]
+# vars = ["CLAUDE_CODE_USE_VERTEX", "CLAUDE_CODE_USE_BEDROCK", "ANTHROPIC_VERTEX_PROJECT_ID"]
"""
def _validate_profile_name(name: str) -> None:
if not _PROFILE_NAME_RE.match(name):
- raise ValueError(
- f"Invalid profile name {name!r}: must match [a-zA-Z0-9_-]+"
- )
+ raise ValueError(f"Invalid profile name {name!r}: must match [a-zA-Z0-9_-]+")
def _validate_credential_keys(keys: dict[str, Any]) -> None:
for k in keys:
if not _CREDENTIAL_KEY_RE.match(k):
- raise ValueError(
- f"Invalid credential key {k!r}: must match [A-Z_][A-Z0-9_]*"
- )
+ raise ValueError(f"Invalid credential key {k!r}: must match [A-Z_][A-Z0-9_]*")
def ensure_config_file() -> Path:
@@ -86,8 +93,11 @@ def load_config(profile: str | None = None) -> dict:
"""Read ~/.factory/config.toml; apply credential profile overlay if given.
Returns the parsed TOML dict. If the file doesn't exist, returns an empty dict.
- When a profile is specified, its ``[credentials.<name>]`` keys are injected
- into ``os.environ`` so normal env-var precedence resolves them.
+ When a profile is specified (explicit ``--profile`` opt-in), its
+ ``[credentials.<name>]`` keys **override** existing env vars via direct
+ assignment to ``os.environ``. A ``[credentials.<name>.unset]`` sub-table
+ with ``vars = [...]`` removes listed env vars before the overrides are
+ applied. Protected variables (PATH, HOME, etc.) cannot be set or unset.
"""
if not CONFIG_PATH.exists():
if profile:
@@ -96,6 +106,10 @@ def load_config(profile: str | None = None) -> dict:
)
return {}
+ stat_mode = CONFIG_PATH.stat().st_mode & 0o077
+ if stat_mode:
+ log.warning("config_permissions_too_open", path=str(CONFIG_PATH), mode=oct(stat_mode))
+
with open(CONFIG_PATH, "rb") as f:
data = tomllib.load(f)
@@ -108,19 +122,56 @@ def load_config(profile: str | None = None) -> dict:
f"Profile {profile!r} not found in config.toml. "
f"Available: {available}"
)
- _validate_credential_keys(creds)
- for k, v in creds.items():
- os.environ.setdefault(k, str(v))
- log.info("profile_loaded", profile=profile, keys=list(creds.keys()))
- global _cached_config # noqa: PLW0603
+ unset_config = creds.get("unset")
+ unset_vars: list[str] = []
+ if isinstance(unset_config, dict):
+ raw = unset_config.get("vars", [])
+ if raw is not None and not isinstance(raw, list):
+ raise ValueError(
+ f"Profile {profile!r}: [credentials.{profile}.unset].vars "
+ f"must be a list, got {type(raw).__name__}"
+ )
+ if isinstance(raw, list):
+ unset_vars = [str(v) for v in raw]
+
+ env_keys = {k: v for k, v in creds.items() if k != "unset"}
+ _validate_credential_keys(env_keys)
+
+ protected_set = _PROTECTED_VARS & env_keys.keys()
+ protected_unset = _PROTECTED_VARS & set(unset_vars)
+ if protected_set or protected_unset:
+ offending = sorted(protected_set | protected_unset)
+ raise ValueError(
+ f"Profile {profile!r} attempts to modify protected variable(s): "
+ f"{', '.join(offending)}. "
+ f"Protected vars ({', '.join(sorted(_PROTECTED_VARS))}) cannot be "
+ f"set or unset via profiles."
+ )
+
+ for var in unset_vars:
+ os.environ.pop(var, None)
+
+ for k, v in env_keys.items():
+ if k in os.environ and os.environ[k] != str(v):
+ log.warning("profile_override", key=k, profile=profile)
+ os.environ[k] = str(v)
+
+ log.info(
+ "profile_loaded",
+ profile=profile,
+ keys=list(env_keys.keys()),
+ unset=unset_vars or None,
+ )
+
+ global _cached_config
_cached_config = data
return data
def _get_cached_config() -> dict:
"""Return the cached config, loading from disk on first call."""
- global _cached_config # noqa: PLW0603
+ global _cached_config
if _cached_config is None:
_cached_config = load_config()
return _cached_config
@@ -203,6 +254,14 @@ def show_config(*, reveal: bool = False) -> str:
for profile_name, creds in credentials.items():
lines.append(f"[credentials.{profile_name}]")
for k, v in creds.items():
+ if isinstance(v, dict):
+ lines.append(f" [{k}]")
+ for sk, sv in v.items():
+ display_sv = str(sv)
+ if not reveal and is_sensitive(sk):
+ display_sv = mask_value(display_sv)
+ lines.append(f" {sk} = {display_sv}")
+ continue
display = str(v)
if not reveal and is_sensitive(k):
display = mask_value(display)
@@ -232,9 +291,7 @@ def migrate_env_to_config() -> str:
try:
import tomli_w # type: ignore[import-untyped,import-not-found]
except ImportError:
- raise ImportError(
- "tomli_w is required for migration: pip install tomli_w"
- ) from None
+ raise ImportError("tomli_w is required for migration: pip install tomli_w") from None
env_map = {
"FACTORY_RUNNER": "runner",
@@ -245,10 +302,9 @@ def migrate_env_to_config() -> str:
"FACTORY_REGISTRY_DIR": "registry_dir",
"FACTORY_MANAGED_DIRS": "managed_dirs",
"FACTORY_RUNNER_QUIET": "runner_quiet",
- "FACTORY_BOB_DRY_RUN": "bob_dry_run",
- "FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE": "bob_max_invocations_per_cycle",
"FACTORY_CEO_RESPAWN_DISABLED": "ceo_respawn_disabled",
"FACTORY_CEO_MAX_RESPAWNS": "ceo_max_respawns",
+ "FACTORY_REMOVE_WORKTREE": "remove_worktree",
}
defaults: dict[str, str] = {}
@@ -266,8 +322,7 @@ def migrate_env_to_config() -> str:
fd = os.open(str(CONFIG_PATH), os.O_WRONLY | os.O_CREAT | os.O_EXCL, 0o600)
except FileExistsError:
raise FileExistsError(
- f"Config file already exists at {CONFIG_PATH}. "
- "Remove it first or edit manually."
+ f"Config file already exists at {CONFIG_PATH}. Remove it first or edit manually."
) from None
try:
content = tomli_w.dumps(data)
diff --git a/factory/visualizer/state.py b/factory/visualizer/state.py
index 8c6c384e8..a9dd9f352 100644
--- a/factory/visualizer/state.py
+++ b/factory/visualizer/state.py
@@ -26,123 +26,36 @@
# Mode-specific phase definitions: (display_name, builder_key, is_loop_phase)
MODE_PHASES: dict[str, list[tuple[str, str, bool]]] = {
- "improve": [
- ("Observe", "research", False),
- ("Hypothesize", "strategize", False),
- ("Build", "build", True),
- ("Review", "review", True),
- ("Eval", "eval", True),
- ("Archive", "archive", False),
- ],
- "research": [
- ("Baseline", "eval", False),
- ("Analyze", "research", False),
- ("Research", "research", False),
- ("Hypothesize", "strategize", False),
- ("Build", "build", True),
- ("Run", "eval", True),
- ("Archive", "archive", False),
- ],
- "build": [
+ "design": [
("Research", "research", False),
("Plan", "strategize", False),
("Build", "build", True),
("Verify", "eval", False),
("Archive", "archive", False),
],
- "discover": [
- ("Detect", "detect", False),
- ("Discover", "discover", False),
- ],
- "meta": [
- ("Observe", "research", False),
- ("Hypothesize", "strategize", False),
- ("Build", "build", True),
- ("Review", "review", True),
- ("Eval", "eval", True),
- ("Archive", "archive", False),
- ("ACE", "archive", False),
- ],
}
MODE_AGENT_TO_PHASE: dict[str, dict[str, str]] = {
- "improve": {
- "researcher": "Observe",
- "strategist": "Hypothesize",
- "builder": "Build",
- "qa": "QA",
- "archivist": "Archive",
- },
- "research": {
- "failure_analyst": "Analyze",
- "researcher": "Research",
- "strategist": "Hypothesize",
- "builder": "Build",
- "qa": "QA",
- "archivist": "Archive",
- },
- "build": {
+ "design": {
"researcher": "Research",
"strategist": "Plan",
"builder": "Build",
- "qa": "QA",
- "archivist": "Archive",
- },
- "discover": {
- "researcher": "Discover",
- },
- "meta": {
- "researcher": "Observe",
- "strategist": "Hypothesize",
- "builder": "Build",
- "qa": "QA",
+ "qa": "Verify",
+ "health_checker": "Verify",
+ "code_reviewer": "Verify",
+ "adversarial_tester": "Verify",
"archivist": "Archive",
},
}
MODE_EVENT_TO_PHASE: dict[str, dict[str, str]] = {
- "improve": {
- "study.started": "Observe",
- "study.completed": "Observe",
- "insights.started": "Observe",
- "insights.completed": "Observe",
- "eval.started": "Eval",
- "eval.completed": "Eval",
- "guard.completed": "Eval",
- "archive.completed": "Archive",
- "ace.started": "Archive",
- "ace.completed": "Archive",
- },
- "research": {
- "eval.started": "Run",
- "eval.completed": "Run",
- "guard.completed": "Run",
- "archive.completed": "Archive",
- },
- "build": {
+ "design": {
"study.started": "Research",
"study.completed": "Research",
"eval.started": "Verify",
"eval.completed": "Verify",
"archive.completed": "Archive",
},
- "discover": {
- "detect": "Detect",
- "discover.started": "Discover",
- "discover.completed": "Discover",
- },
- "meta": {
- "study.started": "Observe",
- "study.completed": "Observe",
- "insights.started": "Observe",
- "insights.completed": "Observe",
- "eval.started": "Eval",
- "eval.completed": "Eval",
- "guard.completed": "Eval",
- "archive.completed": "Archive",
- "ace.started": "ACE",
- "ace.completed": "ACE",
- },
}
# Generic fallbacks (used when mode is unknown)
@@ -165,7 +78,10 @@
"researcher": "Research",
"strategist": "Strategize",
"builder": "Build",
- "qa": "QA",
+ "qa": "Review",
+ "health_checker": "Review",
+ "code_reviewer": "Review",
+ "adversarial_tester": "Review",
"archivist": "Archive",
}
diff --git a/factory/workflow/__init__.py b/factory/workflow/__init__.py
index a5ddf52ec..053dbbbe0 100644
--- a/factory/workflow/__init__.py
+++ b/factory/workflow/__init__.py
@@ -11,7 +11,9 @@
ForkNode,
GateNode,
JoinNode,
+ SelectionNode,
Study,
+ SubgraphForkNode,
Verdict,
VerdictType,
Workflow,
@@ -28,7 +30,9 @@
"ForkNode",
"GateNode",
"JoinNode",
+ "SelectionNode",
"Study",
+ "SubgraphForkNode",
"Verdict",
"VerdictType",
"Workflow",
diff --git a/factory/workflow/cli.py b/factory/workflow/cli.py
index 0b124a194..6ac477a20 100644
--- a/factory/workflow/cli.py
+++ b/factory/workflow/cli.py
@@ -9,7 +9,7 @@
import structlog
-from factory.workflow.definitions import register_all
+from factory.workflow.registry import WorkflowRegistry
from factory.workflow.executor import WorkflowExecutor
from factory.workflow.primitives import (
DEFAULT_AGENT_POOL,
@@ -28,7 +28,7 @@ def cmd_workflow(args: argparse.Namespace) -> int:
"""Dispatch workflow subcommands."""
sub = getattr(args, "workflow_command", None)
if not sub:
- print("Usage: factory workflow {run,list,show,validate,export-skills}")
+ print("Usage: factory workflow {run,list,show,validate,export-skills,lint-contributed,tool}")
return 1
handlers = {
@@ -37,6 +37,8 @@ def cmd_workflow(args: argparse.Namespace) -> int:
"show": _cmd_show,
"validate": _cmd_validate,
"export-skills": _cmd_export_skills,
+ "lint-contributed": _cmd_lint_contributed,
+ "tool": _cmd_tool,
}
handler = handlers.get(sub)
@@ -49,16 +51,34 @@ def cmd_workflow(args: argparse.Namespace) -> int:
def _cmd_run(args: argparse.Namespace) -> int:
"""Run a named workflow on a project."""
+ import base64
+ import os
+ import tempfile
+
name = args.name
project_path = Path(args.project_path).resolve()
dry_run = getattr(args, "dry_run", False)
-
- workflows = register_all()
- wf = workflows.get(name)
- if not wf:
- print(f"Unknown workflow: {name}")
- print(f"Available: {', '.join(workflows)}")
- return 1
+ from_yaml = getattr(args, "from_yaml", None)
+
+ yaml_b64 = os.environ.get("FACTORY_WORKFLOW_YAML_B64")
+ if yaml_b64 and not from_yaml:
+ tmp = tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w")
+ tmp.write(base64.b64decode(yaml_b64).decode())
+ tmp.close()
+ from_yaml = tmp.name
+ log.info("loaded workflow YAML from FACTORY_WORKFLOW_YAML_B64 env var")
+
+ if from_yaml:
+ from factory.skillopt.yaml_surface import yaml_to_workflow
+ wf = yaml_to_workflow(from_yaml, name)
+ log.info("workflow loaded from YAML override", path=from_yaml, name=name)
+ else:
+ resolved = WorkflowRegistry.get_workflow(name, project_path)
+ if not resolved:
+ print(f"Unknown workflow: {name}")
+ print(f"Available: {', '.join(WorkflowRegistry._entries)}")
+ return 1
+ wf = resolved
executor = WorkflowExecutor(
wf,
@@ -67,31 +87,40 @@ def _cmd_run(args: argparse.Namespace) -> int:
dry_run=dry_run,
)
- result = asyncio.run(executor.execute())
+ from factory.agents.runner import begin_cycle_session, complete_cycle_session
+ cycle_span_id = begin_cycle_session(project_path, cycle_id=name)
- print(json.dumps({
- "workflow": name,
- "success": result.success,
- "halted": result.halted,
- "halt_reason": result.halt_reason,
- "nodes_executed": result.nodes_executed,
- "duration_ms": round(result.duration_ms, 1),
- "files_produced": sorted(result.completed_files),
- }, indent=2))
+ try:
+ result = asyncio.run(executor.execute())
- return 0 if result.success else 1
+ print(json.dumps({
+ "workflow": name,
+ "success": result.success,
+ "halted": result.halted,
+ "halt_reason": result.halt_reason,
+ "nodes_executed": result.nodes_executed,
+ "duration_ms": round(result.duration_ms, 1),
+ "files_produced": sorted(result.completed_files),
+ }, indent=2))
+
+ return 0 if result.success else 1
+ finally:
+ complete_cycle_session(project_path, cycle_span_id)
def _cmd_list(args: argparse.Namespace) -> int:
"""List all registered workflows."""
- workflows = register_all()
+ project_path = Path(getattr(args, "project_path", None) or ".").resolve()
+ entries = WorkflowRegistry.list_workflows(project_path)
header = f"{'Name':<12} {'Nodes':>6} {'Edges':>6} {'Start Node':<20}"
print(header)
print("-" * len(header))
- for name, wf in workflows.items():
- print(f"{name:<12} {len(wf.nodes):>6} {len(wf.edges):>6} {wf.start_node:<20}")
+ for entry in entries:
+ wf = WorkflowRegistry.get_workflow(entry.name)
+ if wf:
+ print(f"{entry.name:<12} {len(wf.nodes):>6} {len(wf.edges):>6} {wf.start_node:<20}")
return 0
@@ -99,8 +128,8 @@ def _cmd_list(args: argparse.Namespace) -> int:
def _cmd_show(args: argparse.Namespace) -> int:
"""Show a workflow's graph as a node/edge table."""
name = args.name
- workflows = register_all()
- wf = workflows.get(name)
+ project_path = Path(getattr(args, "project_path", None) or ".").resolve()
+ wf = WorkflowRegistry.get_workflow(name, project_path)
if not wf:
print(f"Unknown workflow: {name}")
return 1
@@ -158,12 +187,32 @@ def _cmd_show(args: argparse.Namespace) -> int:
def _cmd_validate(args: argparse.Namespace) -> int:
"""Validate a workflow using NetworkX."""
- name = args.name
- workflows = register_all()
- wf = workflows.get(name)
- if not wf:
- print(f"Unknown workflow: {name}")
- return 1
+ file_path = getattr(args, "file", None)
+
+ if file_path:
+ from factory.workflow.registry import _load_workflow_file
+
+ path = Path(file_path).resolve()
+ if not path.exists():
+ print(f"File not found: {path}")
+ return 1
+ try:
+ meta, workflow_fn = _load_workflow_file(path)
+ except ValueError as exc:
+ print(f"Failed to load workflow file: {exc}")
+ return 1
+ wf = workflow_fn()
+ name = meta["name"]
+ else:
+ name = args.name
+ if not name:
+ print("Error: provide a workflow name or --file <path>")
+ return 1
+ project_path = Path(getattr(args, "project_path", None) or ".").resolve()
+ wf = WorkflowRegistry.get_workflow(name, project_path)
+ if not wf:
+ print(f"Unknown workflow: {name}")
+ return 1
issues = wf.validate_graph()
@@ -184,7 +233,13 @@ def _cmd_export_skills(args: argparse.Namespace) -> int:
output_dir = Path(getattr(args, "output_dir", None) or ".").resolve()
verify = getattr(args, "verify", False)
- workflows = register_all()
+ project_path = Path(getattr(args, "project_path", None) or ".").resolve()
+ entries = WorkflowRegistry.discover(project_path)
+ workflows = {}
+ for name, entry in entries.items():
+ wf = WorkflowRegistry.get_workflow(name)
+ if wf:
+ workflows[name] = wf
generated = export_all_skills(output_dir, workflows)
print(f"Exported {len(generated)} skills to {output_dir}/")
@@ -210,6 +265,77 @@ def _cmd_export_skills(args: argparse.Namespace) -> int:
return 0
+def _cmd_lint_contributed(args: argparse.Namespace) -> int:
+ """Lint contributed workflow directories for required artifacts and structure."""
+ from factory.workflow.lint import lint_contributed
+
+ base_dir = Path(getattr(args, "path", None) or
+ Path(__file__).resolve().parent / "contributed")
+
+ issues = lint_contributed(base_dir)
+
+ if not issues:
+ print(f"All contributed workflows in {base_dir} are clean.")
+ return 0
+
+ for issue in issues:
+ print(f"{issue.directory}: [{issue.check}] {issue.message}")
+ print(f"\n{len(issues)} issue(s) found.")
+ return 1
+
+
+def _cmd_tool(args: argparse.Namespace) -> int:
+ """Dispatch tool subcommands for step-by-step workflow execution."""
+ import sys
+
+ from factory.workflow.tool import (
+ tool_curr,
+ tool_finalize,
+ tool_init,
+ tool_next,
+ tool_overview,
+ tool_status,
+ tool_submit,
+ )
+
+ sub = getattr(args, "tool_command", None)
+ if not sub:
+ print("Usage: factory workflow tool {init,next,submit,status,finalize,overview,curr}")
+ return 1
+
+ project_path = Path(args.project_path).resolve()
+
+ if sub == "init":
+ session_dir = tool_init(args.name, project_path)
+ print(session_dir)
+ return 0
+ elif sub == "next":
+ dry_run = getattr(args, "dry_run", False)
+ print(tool_next(project_path, dry_run=dry_run))
+ return 0
+ elif sub == "submit":
+ output = sys.stdin.read().strip()
+ result = tool_submit(project_path, args.node, output)
+ print(result)
+ return 0
+ elif sub == "status":
+ fmt = getattr(args, "format", "linear")
+ print(tool_status(project_path, fmt=fmt))
+ return 0
+ elif sub == "finalize":
+ print(tool_finalize(project_path))
+ return 0
+ elif sub == "overview":
+ fmt = getattr(args, "format", "linear")
+ print(tool_overview(project_path, fmt=fmt))
+ return 0
+ elif sub == "curr":
+ print(tool_curr(project_path))
+ return 0
+
+ return 1
+
+
def add_workflow_parser(sub: argparse._SubParsersAction[argparse.ArgumentParser]) -> None:
"""Register the 'workflow' subcommand with its subcommands."""
wf_parser = sub.add_parser("workflow", help="Workflow graph engine commands")
@@ -220,17 +346,25 @@ def add_workflow_parser(sub: argparse._SubParsersAction[argparse.ArgumentParser]
p.add_argument("name", help="Workflow name (build, design, improve, research, meta)")
p.add_argument("project_path", help="Path to the project")
p.add_argument("--dry-run", action="store_true", help="Execute without real agent calls")
+ p.add_argument(
+ "--from-yaml", default=None, metavar="PATH",
+ help="Load workflow from YAML annotations file (overrides slot values on base workflow)",
+ )
# list
- wf_sub.add_parser("list", help="List all registered workflows")
+ p = wf_sub.add_parser("list", help="List all registered workflows")
+ p.add_argument("--project-path", default=None, help="Project path for local workflow discovery")
# show
p = wf_sub.add_parser("show", help="Show workflow graph details")
p.add_argument("name", help="Workflow name")
+ p.add_argument("--project-path", default=None, help="Project path for local workflow discovery")
# validate
p = wf_sub.add_parser("validate", help="Validate workflow graph structure")
- p.add_argument("name", help="Workflow name")
+ p.add_argument("name", nargs="?", default=None, help="Workflow name")
+ p.add_argument("--file", default=None, help="Path to a standalone workflow .py file to validate")
+ p.add_argument("--project-path", default=None, help="Project path for local workflow discovery")
# export-skills
p = wf_sub.add_parser("export-skills", help="Export workflows as SKILL.md files")
@@ -238,3 +372,49 @@ def add_workflow_parser(sub: argparse._SubParsersAction[argparse.ArgumentParser]
"--output-dir", default=".", help="Output directory (default: current directory)"
)
p.add_argument("--verify", action="store_true", help="Validate generated skills")
+ p.add_argument("--project-path", default=None, help="Project path for local workflow discovery")
+
+ # lint-contributed
+ p = wf_sub.add_parser("lint-contributed", help="Lint contributed workflow directories")
+ p.add_argument(
+ "--path", default=None, help="Base directory to scan (default: factory/workflow/contributed/)"
+ )
+
+ # tool
+ p_tool = wf_sub.add_parser("tool", help="Tool-based workflow execution")
+ tool_sub = p_tool.add_subparsers(dest="tool_command")
+
+ p_tool_init = tool_sub.add_parser("init", help="Initialize a tool session")
+ p_tool_init.add_argument("name", help="Workflow name")
+ p_tool_init.add_argument("project_path", help="Project path")
+
+ p_tool_next = tool_sub.add_parser("next", help="Get next node task")
+ p_tool_next.add_argument("project_path", help="Project path")
+ p_tool_next.add_argument(
+ "--dry-run", action="store_true", default=False,
+ help="Preview without advancing",
+ )
+
+ p_tool_submit = tool_sub.add_parser("submit", help="Submit node output")
+ p_tool_submit.add_argument("project_path", help="Project path")
+ p_tool_submit.add_argument("--node", required=True, help="Node ID")
+
+ p_tool_status = tool_sub.add_parser("status", help="Show session status")
+ p_tool_status.add_argument("project_path", help="Project path")
+ p_tool_status.add_argument(
+ "--format", choices=["linear", "phased"], default="linear",
+ help="Output format (default: linear)",
+ )
+
+ p_tool_finalize = tool_sub.add_parser("finalize", help="Finalize session — mark remaining nodes complete")
+ p_tool_finalize.add_argument("project_path", help="Project path")
+
+ p_tool_overview = tool_sub.add_parser("overview", help="Show full workflow map")
+ p_tool_overview.add_argument("project_path", help="Project path")
+ p_tool_overview.add_argument(
+ "--format", choices=["linear", "phased"], default="linear",
+ help="Output format (default: linear)",
+ )
+
+ p_tool_curr = tool_sub.add_parser("curr", help="Show current node (no advance)")
+ p_tool_curr.add_argument("project_path", help="Project path")
diff --git a/factory/workflow/contributed/README.md b/factory/workflow/contributed/README.md
new file mode 100644
index 000000000..44ba57338
--- /dev/null
+++ b/factory/workflow/contributed/README.md
@@ -0,0 +1,110 @@
+# Contributed Workflows
+
+Community-contributed workflow definitions for the Factory workflow engine.
+
+## Directory Layout
+
+Each contributed workflow lives in its own directory with the following structure:
+
+```
+factory/workflow/contributed/<name>/
+├── __init__.py # Re-exports: from .workflow import meta, workflow
+├── workflow.py # meta dict + workflow() function (the DSL definition)
+├── README.md # What it does, how to invoke it, graph overview
+└── test_workflow.py # Behavioral regression test
+```
+
+### Required Artifacts
+
+| File | Purpose |
+|---|---|
+| `__init__.py` | Re-exports `meta` and `workflow` so existing import paths work |
+| `workflow.py` | Contains a `meta` dict (`name`, `description`) and a `workflow()` function returning a `Workflow` |
+| `README.md` | Human-readable description, CLI invocation example, and graph diagram |
+| `test_workflow.py` | Regression tests validating graph structure, node types, edges, and trigger behavior |
+
+## Adding a New Workflow
+
+1. Create a directory: `factory/workflow/contributed/<name>/`
+
+2. Write `workflow.py` with:
+ - A module-level `meta` dict containing `name` and `description`
+ - A `workflow()` function that returns a `Workflow` built from DSL primitives (`AgentNode`, `FnNode`, `GateNode`, `ForkNode`, `JoinNode`, `Edge`)
+ - A `trigger` function that activates the workflow based on `ProjectState` and context
+
+3. Create `__init__.py`:
+ ```python
+ from .workflow import meta, workflow
+
+ __all__ = ["meta", "workflow"]
+ ```
+
+4. Register the workflow in `factory/workflow/definitions.py` `register_all()`:
+ ```python
+ from factory.workflow.contributed.<name> import workflow as <name>_workflow
+ # ...
+ "<name>": <name>_workflow(),
+ ```
+
+5. Write `test_workflow.py` covering (see existing tests for patterns):
+ - Workflow name and node count
+ - Graph validation (`wf.validate_graph()`)
+ - Node types and key properties
+ - Edge structure (PROCEED, RELOOP conditions)
+ - Trigger function behavior (matches correct mode, rejects others)
+ - Registration in `register_all()`
+ - Meta dict has `name` and `description`
+
+6. Write `README.md` with a description, ASCII graph diagram, and CLI usage example.
+
+7. Run the full test suite: `pytest -v`
+
+## Regression Test Structure
+
+Tests should be organized into test classes by concern:
+
+- `Test<Name>Workflow` — graph structure: node count, node types, edge count, key properties
+- `Test<Name>Terminal` — terminal flag on the workflow
+- `Test<Name>Trigger` — trigger function accepts/rejects modes correctly
+- `Test<Name>Registration` — workflow appears in `register_all()` and validates
+- `Test<Name>Meta` — meta dict has required keys
+
+## Linting
+
+A built-in linter validates that every contributed workflow directory has the required artifacts and passes basic structural checks.
+
+**Run locally:**
+
+```bash
+factory workflow lint-contributed
+```
+
+To lint a custom directory:
+
+```bash
+factory workflow lint-contributed --path /path/to/workflows/
+```
+
+**What it checks (per directory):**
+
+- `__init__.py` exists
+- `workflow.py` exists
+- `README.md` exists
+- `test_workflow.py` exists
+- `workflow.py` has a module-level `meta` dict with `name` and `description`
+- `workflow.py` has a callable `workflow()` function
+- `workflow()` returns a graph that passes `validate_graph()`
+
+CI runs this automatically on every pull request.
+
+## Workflow DSL Primitives
+
+Workflows are built from typed node primitives defined in `factory/workflow/primitives.py`:
+
+- `AgentNode` — spawns a Claude Code agent with a role, model, timeout, and prompt template
+- `FnNode` — runs a shell command
+- `GateNode` — evaluates pass/fail/reloop conditions via a shell command or agent
+- `ForkNode` / `JoinNode` — parallel execution (fan-out / fan-in)
+- `Edge` — connects nodes, optionally with a `VerdictType` condition
+
+See `factory/workflow/README.md` for full DSL documentation.
diff --git a/factory/templates/__init__.py b/factory/workflow/contributed/__init__.py
similarity index 100%
rename from factory/templates/__init__.py
rename to factory/workflow/contributed/__init__.py
diff --git a/factory/workflow/contributed/devopsgym/README.md b/factory/workflow/contributed/devopsgym/README.md
new file mode 100644
index 000000000..507d2f4fd
--- /dev/null
+++ b/factory/workflow/contributed/devopsgym/README.md
@@ -0,0 +1,24 @@
+# DevOps Gym Workflow
+
+4-node pipeline for solving build/configuration tasks — Maven, Gradle, Go modules, Make, Docker, CI/CD.
+
+## Graph
+
+```
+study (FnNode) → solver (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **study**: Scans workspace for build files (pom.xml, build.gradle, go.mod, Makefile, Dockerfile, CI/CD configs) and reads `/tmp/task-instruction.md`
+- **solver**: Fixes the described build/configuration issue while preserving the existing build system
+- **gate_verify**: Checks solver committed changes and attempts to build with the detected build system
+- **auto_merge**: Fast-forwards the base branch to include the fix
+
+## Usage
+
+```bash
+factory workflow run devopsgym --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container. The benchmark uses hidden verification steps — solutions must implement general fixes, not hardcode outputs.
diff --git a/factory/workflow/contributed/devopsgym/__init__.py b/factory/workflow/contributed/devopsgym/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/devopsgym/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/devopsgym/test_workflow.py b/factory/workflow/contributed/devopsgym/test_workflow.py
new file mode 100644
index 000000000..a11ae65b7
--- /dev/null
+++ b/factory/workflow/contributed/devopsgym/test_workflow.py
@@ -0,0 +1,214 @@
+"""Tests for the DevOps Gym contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.devopsgym import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestDevopsgymWorkflow:
+ """Tests for devopsgym workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "devopsgym"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, solver, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "solver", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->solver, solver->gate, gate->merge, gate->solver RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "task-instruction" in node.command
+
+ def test_study_scans_build_files(self) -> None:
+ """Study node scans for build system files (pom.xml, build.gradle, go.mod, etc.)."""
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "pom.xml" in node.command
+ assert "build.gradle" in node.command
+ assert "go.mod" in node.command
+ assert "Makefile" in node.command
+ assert "Dockerfile" in node.command
+
+ def test_solver_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["solver"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_gate_verify_checks_build_systems(self) -> None:
+ """Gate attempts builds with detected build system (Maven, Gradle, Go, Make)."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "mvn" in node.evaluator_command
+ assert "gradle" in node.evaluator_command
+ assert "go build" in node.evaluator_command
+ assert "make" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to solver."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "solver"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ """No deep-QA pipeline nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ """No researcher or strategist nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestDevopsgymTerminal:
+ """Tests for the terminal flag on devopsgym workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["devopsgym"].terminal is True
+
+
+class TestDevopsgymTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_devopsgym_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "devopsgym"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "devopsgym"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "devopsgym"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "build"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestDevopsgymRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "devopsgym" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["devopsgym"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered devopsgym workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["devopsgym"]
+ assert wf.trigger is not None
+
+
+class TestDevopsgymMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "devopsgym"
+
+ def test_meta_has_description(self) -> None:
+ assert "devops" in meta["description"].lower()
diff --git a/factory/workflow/contributed/devopsgym/workflow.py b/factory/workflow/contributed/devopsgym/workflow.py
new file mode 100644
index 000000000..a6a70747a
--- /dev/null
+++ b/factory/workflow/contributed/devopsgym/workflow.py
@@ -0,0 +1,213 @@
+"""DevOps Gym benchmark workflow — lean pipeline for build/configuration tasks.
+
+4-node pipeline: study -> solver -> gate_verify -> auto_merge
+RELOOP from gate_verify back to solver (max 3 iterations) on failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md
+- Targets DevOps build/configuration: Maven, Gradle, Go modules, Make, Docker, CI/CD
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "devopsgym",
+ "description": (
+ "DevOps Gym benchmark mode — 4-node pipeline for solving "
+ "build/configuration tasks (Maven, Gradle, Go modules, Make, Docker, CI/CD). "
+ "study -> solver -> gate_verify -> auto_merge with RELOOP on failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the DevOps Gym workflow as a lean 4-node pipeline."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # -- Node 1: Study --
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Workspace ===' && "
+ "ls -la && "
+ "echo '\\n=== Build Files ===' && "
+ "find . -type f \\( "
+ "-name 'pom.xml' -o -name 'build.gradle' -o -name 'build.gradle.kts' "
+ "-o -name 'go.mod' -o -name 'go.sum' "
+ "-o -name 'Makefile' -o -name 'CMakeLists.txt' "
+ "-o -name 'Dockerfile' -o -name 'docker-compose.yml' -o -name 'docker-compose.yaml' "
+ "-o -name 'Jenkinsfile' -o -name 'Cargo.toml' "
+ "-o -name 'package.json' -o -name 'requirements.txt' -o -name 'setup.py' "
+ "\\) | head -100 && "
+ "echo '\\n=== CI/CD Config ===' && "
+ "find . -type f \\( "
+ "-name '*.yml' -o -name '*.yaml' "
+ "\\) -path '*/.github/workflows/*' | head -50 && "
+ "find . -type f -name '.gitlab-ci.yml' | head -10 && "
+ "echo '\\n=== Source Files ===' && "
+ "find . -type f \\( "
+ "-name '*.java' -o -name '*.go' -o -name '*.py' "
+ "-o -name '*.rs' -o -name '*.c' -o -name '*.cpp' "
+ "-o -name '*.sh' -o -name '*.bash' "
+ "\\) | head -100 && "
+ "echo '\\n=== Git ===' && "
+ "git status 2>/dev/null || echo 'Not a git repository' && "
+ "git log --oneline -10 2>/dev/null || true && "
+ "echo '\\n=== Task ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction found at /tmp/task-instruction.md' && "
+ "echo '\\n=== Build System Detection ===' && "
+ "echo 'Attempting to identify and run build...' && "
+ "([ -f pom.xml ] && echo 'Detected: Maven' && mvn --version 2>/dev/null || true) && "
+ "([ -f build.gradle ] || [ -f build.gradle.kts ] && echo 'Detected: Gradle' && gradle --version 2>/dev/null || true) && "
+ "([ -f go.mod ] && echo 'Detected: Go modules' && go version 2>/dev/null || true) && "
+ "([ -f Makefile ] && echo 'Detected: Make' || true) && "
+ "([ -f Dockerfile ] && echo 'Detected: Docker' || true)"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # -- Node 2: Solver (Builder) --
+ nodes["solver"] = AgentNode(
+ id="solver",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are solving a DevOps build/configuration task from the DevOps Gym benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md carefully. "
+ "Understand exactly what build or configuration issue needs to be fixed and "
+ "what the expected behavior should be.\n\n"
+ "2. **Understand the project** — Check the study output at "
+ ".factory/reviews/study-output.md for a structural overview. Examine build "
+ "files (pom.xml, build.gradle, go.mod, Makefile, Dockerfile, CI/CD configs), "
+ "source files, and any error logs.\n\n"
+ "3. **Analyze the build system** — Identify which build system is in use "
+ "(Maven, Gradle, Go modules, Make, Docker, etc.). Understand the project's "
+ "dependency structure, build targets, and configuration.\n\n"
+ "4. **Fix the issue** — Implement the fix described in the task instruction. "
+ "This may involve modifying build configuration, fixing dependency declarations, "
+ "updating CI/CD pipelines, fixing Dockerfiles, or adjusting build scripts.\n\n"
+ "5. **Verify the fix** — Attempt to build the project using the appropriate "
+ "build tool. Verify the build succeeds and the configuration is correct.\n\n"
+ "6. **Commit your changes** — Commit directly on the current branch "
+ "with a descriptive message. Do NOT create a new branch. Do NOT create a PR.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- PRESERVE the existing build system — do NOT switch build tools or "
+ "modernize the build configuration unless explicitly asked. Fix ONLY the "
+ "specific issue described in the task instruction.\n"
+ "- HIDDEN TESTS: The benchmark uses hidden verification steps. Do NOT "
+ "hardcode outputs. Implement the general fix that solves the problem "
+ "for any valid build configuration.\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- If something fails, investigate root cause and try alternative approaches\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # -- Node 3: Gate Verify --
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: solver did not commit any changes'; "
+ "exit 0; fi && "
+ "if [ ! -f .factory/reviews/builder-latest.md ]; then "
+ "echo 'fail: solver output missing'; "
+ "exit 0; fi && "
+ "BUILD_OK=0 && "
+ "if [ -f pom.xml ]; then "
+ "timeout 600 mvn compile -q 2>&1 && BUILD_OK=1 || "
+ "{ TAIL=$(timeout 600 mvn compile 2>&1 | tail -50); "
+ "echo \"reloop: Maven build failed — $TAIL\"; exit 0; }; fi && "
+ "if [ -f build.gradle ] || [ -f build.gradle.kts ]; then "
+ "timeout 600 gradle build -q 2>&1 && BUILD_OK=1 || "
+ "{ TAIL=$(timeout 600 gradle build 2>&1 | tail -50); "
+ "echo \"reloop: Gradle build failed — $TAIL\"; exit 0; }; fi && "
+ "if [ -f go.mod ]; then "
+ "timeout 600 go build ./... 2>&1 && BUILD_OK=1 || "
+ "{ TAIL=$(timeout 600 go build ./... 2>&1 | tail -50); "
+ "echo \"reloop: Go build failed — $TAIL\"; exit 0; }; fi && "
+ "if [ -f Makefile ]; then "
+ "timeout 600 make 2>&1 && BUILD_OK=1 || "
+ "{ TAIL=$(timeout 600 make 2>&1 | tail -50); "
+ "echo \"reloop: Make build failed — $TAIL\"; exit 0; }; fi && "
+ "if [ $BUILD_OK -eq 0 ]; then "
+ "echo 'pass: no recognized build system — deferring to Harbor verifier'; "
+ "exit 0; fi && "
+ "echo 'pass: build succeeded'"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # -- Node 4: Auto Merge --
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # -- Edges --
+ edges = [
+ Edge(source="study", target="solver"),
+ Edge(source="solver", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="solver", condition=VerdictType.RELOOP),
+ ]
+
+ # -- Trigger --
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "devopsgym"
+
+ return Workflow(
+ name="devopsgym",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/featurebench/README.md b/factory/workflow/contributed/featurebench/README.md
new file mode 100644
index 000000000..62c87a0d9
--- /dev/null
+++ b/factory/workflow/contributed/featurebench/README.md
@@ -0,0 +1,24 @@
+# FeatureBench Workflow
+
+4-node pipeline for implementing new features in Python codebases with explicit interface specifications.
+
+## Graph
+
+```
+study (FnNode) → builder (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **study**: Scans repo structure, package layout, placeholder implementations, and reads `/tmp/task-instruction.md`
+- **builder**: Implements the feature following exact interface specs (function signatures, import paths, types), runs tests
+- **gate_verify**: Checks builder committed changes and reports test status
+- **auto_merge**: Fast-forwards the base branch to include the implementation
+
+## Usage
+
+```bash
+factory workflow run featurebench --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container where the task instruction contains detailed interface definitions.
diff --git a/factory/workflow/contributed/featurebench/__init__.py b/factory/workflow/contributed/featurebench/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/featurebench/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/featurebench/test_workflow.py b/factory/workflow/contributed/featurebench/test_workflow.py
new file mode 100644
index 000000000..b1dcbde56
--- /dev/null
+++ b/factory/workflow/contributed/featurebench/test_workflow.py
@@ -0,0 +1,179 @@
+"""Tests for the FeatureBench contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.featurebench import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestFeaturebenchWorkflow:
+ """Tests for featurebench workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "featurebench"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, builder, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->builder, builder->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "*.py" in node.command
+ assert "task-instruction" in node.command
+ assert "NotImplementedError" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "interface" in node.prompt_template.lower()
+ assert "nameerror" in node.prompt_template.lower()
+ assert "cross-file" in node.prompt_template.lower()
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+
+class TestFeaturebenchTerminal:
+ """Tests for the terminal flag on featurebench workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["featurebench"].terminal is True
+
+
+class TestFeaturebenchTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_featurebench_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "featurebench"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "featurebench"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "featurebench"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestFeaturebenchRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "featurebench" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["featurebench"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered featurebench workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["featurebench"]
+ assert wf.trigger is not None
+
+
+class TestFeaturebenchMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "featurebench"
+
+ def test_meta_has_description(self) -> None:
+ assert "featurebench" in meta["description"].lower() or "FeatureBench" in meta["description"]
diff --git a/factory/workflow/contributed/featurebench/workflow.py b/factory/workflow/contributed/featurebench/workflow.py
new file mode 100644
index 000000000..0df98ca12
--- /dev/null
+++ b/factory/workflow/contributed/featurebench/workflow.py
@@ -0,0 +1,198 @@
+"""FeatureBench benchmark workflow — feature implementation pipeline for containerized evaluation.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on test failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md (detailed problem statement with
+ explicit interface definitions: function signatures, import paths, types)
+- Solutions must be directly callable modules matching the specified interface exactly
+- Evaluation uses fail-to-pass + pass-to-pass tests — ALL must pass for 'resolved'
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "featurebench",
+ "description": (
+ "FeatureBench benchmark mode — 4-node pipeline for implementing "
+ "new features in Python codebases with explicit interface specs. "
+ "study → builder → gate_verify → auto_merge with RELOOP on test failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the FeatureBench workflow from scratch (not composed from improve)."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Repository Structure ===' && "
+ "find . -type f -name '*.py' | head -200 && "
+ "echo '\\n=== Package Layout ===' && "
+ "find . -type d -name '__pycache__' -prune -o -type d -print | head -50 && "
+ "echo '\\n=== Test Files ===' && "
+ "find . -type f -name 'test_*.py' -o -name '*_test.py' | head -50 && "
+ "echo '\\n=== Configuration Files ===' && "
+ "ls -la setup.py setup.cfg pyproject.toml tox.ini conftest.py 2>/dev/null || true && "
+ "echo '\\n=== Placeholder Implementations ===' && "
+ "grep -rl 'NotImplementedError\\|^\\s*pass$' --include='*.py' . 2>/dev/null | head -50 || true && "
+ "echo '\\n=== Task Instruction ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction file found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are implementing a new feature in a Python codebase for "
+ "the FeatureBench benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the FULL task description** — Read /tmp/task-instruction.md "
+ "carefully. It contains detailed interface specifications: function "
+ "signatures, import paths, input/output types, and expected behavior. "
+ "These specs are the contract your code must satisfy.\n\n"
+ "2. **Understand the existing codebase** — Explore the repository "
+ "structure thoroughly. Read related source files, understand module "
+ "layout, imports, and existing patterns. Check the study output at "
+ ".factory/reviews/study-output.md for a structural overview.\n\n"
+ "3. **CRITICAL: Read before you write** — Before implementing ANY "
+ "function, navigate to and READ the actual source code for every "
+ "function, class, or module you reference. DO NOT guess function "
+ "signatures, import paths, or class attributes. The most common "
+ "failure mode is agents hallucinating interfaces instead of reading "
+ "the actual code — NameError and ImportError from wrong cross-file "
+ "references.\n\n"
+ "4. **Implement the feature** — Follow the specified interfaces "
+ "EXACTLY: match function names, parameter names, types, return types, "
+ "and import paths precisely. The evaluation checks that your code is "
+ "directly callable via the specified interface.\n\n"
+ "5. **Handle cross-file dependencies** — If the feature spans multiple "
+ "files, ensure ALL imports and references resolve correctly. Check "
+ "that every module you import exists, every function you call is "
+ "defined, and every class attribute you access is real.\n\n"
+ "6. **Run the project's test suite** — Execute the tests to verify "
+ "your implementation. Look specifically for NameError, ImportError, "
+ "and TypeError in test output — these are signals of missing cross-file "
+ "connections or interface mismatches.\n\n"
+ "7. **Iterate on test failures** — If tests fail, trace the error "
+ "to its root cause. Fix missing dependencies, correct interface "
+ "mismatches, and re-run until tests pass.\n\n"
+ "8. **Commit your changes** — Commit directly on the current branch "
+ "with a descriptive message. Do NOT create a new branch. Do NOT "
+ "create a PR.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- Follow interface specs EXACTLY — the evaluation checks that your "
+ "code is directly callable via the specified signatures and import paths\n"
+ "- Do NOT modify test files\n"
+ "- Do NOT guess — READ the actual source code for any function/class "
+ "you reference\n"
+ "- If tests fail with NameError or ImportError, trace the missing "
+ "dependency and fix it\n"
+ "- If tests fail with TypeError, check that your function signatures "
+ "match the specs exactly\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(pass|succeed|ok|PASSED)'; then "
+ "echo 'pass: builder reports tests passing'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(fail|error|FAILED)'; then "
+ "echo 'reloop: builder needs to retry — tests did not pass'; "
+ "else "
+ "echo 'pass: changes committed, no issues detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "featurebench"
+
+ return Workflow(
+ name="featurebench",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/legacybench/README.md b/factory/workflow/contributed/legacybench/README.md
new file mode 100644
index 000000000..8587ef948
--- /dev/null
+++ b/factory/workflow/contributed/legacybench/README.md
@@ -0,0 +1,24 @@
+# LegacyBench Workflow
+
+4-node pipeline for fixing bugs in legacy code — COBOL, Fortran, C, Java 7, Assembly.
+
+## Graph
+
+```
+study (FnNode) → builder (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **study**: Scans workspace for legacy source files, build system (Makefile), and reads `/tmp/task-instruction.md`
+- **builder**: Fixes the described bug while preserving original language standard and coding patterns
+- **gate_verify**: Checks builder committed changes and scans for success/failure signals
+- **auto_merge**: Fast-forwards the base branch to include the fix
+
+## Usage
+
+```bash
+factory workflow run legacybench --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container. The benchmark uses hidden test inputs — solutions must implement general algorithms, not hardcode outputs.
diff --git a/factory/workflow/contributed/legacybench/__init__.py b/factory/workflow/contributed/legacybench/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/legacybench/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/legacybench/test_workflow.py b/factory/workflow/contributed/legacybench/test_workflow.py
new file mode 100644
index 000000000..52cca20ce
--- /dev/null
+++ b/factory/workflow/contributed/legacybench/test_workflow.py
@@ -0,0 +1,192 @@
+"""Tests for the Legacy-Bench contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.legacybench import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestLegacybenchWorkflow:
+ """Tests for legacybench workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "legacybench"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, builder, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->builder, builder->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "task-instruction" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ """No deep-QA pipeline nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ """No researcher or strategist nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestLegacybenchTerminal:
+ """Tests for the terminal flag on legacybench workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["legacybench"].terminal is True
+
+
+class TestLegacybenchTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_legacybench_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "legacybench"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "legacybench"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "legacybench"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "build"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestLegacybenchRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "legacybench" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["legacybench"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered legacybench workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["legacybench"]
+ assert wf.trigger is not None
+
+
+class TestLegacybenchMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "legacybench"
+
+ def test_meta_has_description(self) -> None:
+ assert "legacy" in meta["description"].lower()
diff --git a/factory/workflow/contributed/legacybench/workflow.py b/factory/workflow/contributed/legacybench/workflow.py
new file mode 100644
index 000000000..756195b94
--- /dev/null
+++ b/factory/workflow/contributed/legacybench/workflow.py
@@ -0,0 +1,199 @@
+"""Legacy-Bench benchmark workflow — lean pipeline for legacy code bugs.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md
+- Targets legacy code: COBOL, Fortran, C, Java 7, Assembly
+- The benchmark uses hidden test inputs — solutions must be general algorithms
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "legacybench",
+ "description": (
+ "Legacy-Bench benchmark mode — 4-node pipeline for fixing bugs in "
+ "legacy code (COBOL, Fortran, C, Java 7, Assembly). "
+ "study → builder → gate_verify → auto_merge with RELOOP on failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the Legacy-Bench workflow as a lean 4-node pipeline."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Workspace ===' && "
+ "ls -la && "
+ "echo '\\n=== Source Files ===' && "
+ "find . -type f \\( "
+ "-name '*.c' -o -name '*.h' -o -name '*.f' -o -name '*.f90' "
+ "-o -name '*.cob' -o -name '*.cbl' -o -name '*.java' "
+ "-o -name '*.s' -o -name '*.asm' -o -name '*.py' "
+ "\\) | head -100 && "
+ "echo '\\n=== Git ===' && "
+ "git status 2>/dev/null || echo 'Not a git repository' && "
+ "git log --oneline -10 2>/dev/null || true && "
+ "echo '\\n=== Build System ===' && "
+ "cat Makefile 2>/dev/null || true && "
+ "ls -la *.sh build* configure* 2>/dev/null || true && "
+ "echo '\\n=== Test Files ===' && "
+ "find . -type f \\( "
+ "-name 'test*' -o -name '*test*' -o -name '*spec*' "
+ "\\) 2>/dev/null | head -50 || true && "
+ "echo '\\n=== Task ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction found at /tmp/task-instruction.md' && "
+ "echo '\\n=== Output Format Analysis ===' && "
+ "echo 'Attempting to build and capture output format...' && "
+ "(make 2>/dev/null && echo 'Build succeeded' || true)"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are fixing a bug in legacy code for the Legacy-Bench benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md carefully. "
+ "Understand exactly what bug needs to be fixed and what the expected "
+ "behavior should be.\n\n"
+ "2. **Understand the codebase** — Check the study output at "
+ ".factory/reviews/study-output.md for a structural overview. Read the "
+ "source files, Makefile, and any test scripts.\n\n"
+ "3. **Analyze the output format** — If the program produces output, "
+ "understand the EXACT format: field widths, decimal places, alignment, "
+ "separators, headers/footers. Output format mismatches are a common "
+ "failure mode.\n\n"
+ "4. **Fix the bug** — Implement the fix described in the task instruction.\n\n"
+ "5. **Verify the fix** — Build and run the program. Verify your fix works "
+ "on at least 3 different inputs (visible examples + 2 you construct).\n\n"
+ "6. **Commit your changes** — Commit directly on the current branch "
+ "with a descriptive message. Do NOT create a new branch. Do NOT create a PR.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- LEGACY CODE: Preserve the EXACT original language standard and "
+ "coding patterns. Do NOT modernize syntax, idioms, or libraries. "
+ "Fix ONLY the specific bug described in the task instruction. "
+ "If the bug requires changing a data type, use the equivalent "
+ "type from the ORIGINAL language standard.\n"
+ "- HIDDEN TESTS: The benchmark uses hidden test inputs beyond the "
+ "visible examples. Do NOT hardcode output to match reference "
+ "examples. Implement the general algorithm that solves the problem "
+ "for ANY valid input.\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- If something fails, investigate root cause and try alternative approaches\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "if [ ! -f .factory/reviews/builder-latest.md ]; then "
+ "echo 'fail: builder output missing'; "
+ "exit 0; fi && "
+ "if [ ! -f Makefile ]; then "
+ "echo 'reloop: no Makefile found — cannot independently verify correctness'; "
+ "exit 0; fi && "
+ "BUILD_OUT=$(timeout 600 make 2>&1) || "
+ "{ TAIL=$(echo \"$BUILD_OUT\" | tail -50); "
+ "echo \"reloop: compilation failed — $TAIL\"; exit 0; } && "
+ "TEST_PROBE=$(make -n test 2>&1); "
+ "if [ $? -ne 0 ]; then "
+ "echo 'reloop: no test target in Makefile — cannot verify correctness'; "
+ "exit 0; fi && "
+ "TEST_OUT=$(timeout 600 make test 2>&1) || "
+ "{ TAIL=$(echo \"$TEST_OUT\" | tail -50); "
+ "echo \"reloop: tests failed — $TAIL\"; exit 0; } && "
+ "echo 'pass: compilation and tests succeeded'"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "legacybench"
+
+ return Workflow(
+ name="legacybench",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/mini_swebench/README.md b/factory/workflow/contributed/mini_swebench/README.md
new file mode 100644
index 000000000..bcec7449a
--- /dev/null
+++ b/factory/workflow/contributed/mini_swebench/README.md
@@ -0,0 +1,24 @@
+# mini-swebench
+
+Bash-only SWE-bench solver using direct LLM API calls (LLMNode), replicating mini-SWE-agent's architecture.
+
+## Graph
+
+```
+read_task → solver (LLMNode) → gate_verify → auto_merge
+ ↑ │
+ └──── RELOOP ────────┘
+```
+
+## Usage
+
+```bash
+factory workflow run mini-swebench /path/to/project
+```
+
+## Nodes
+
+- **read_task** (FnNode) — reads `/tmp/task-instruction.md`
+- **solver** (LLMNode) — direct Anthropic API with bash-only tool, no Claude Code
+- **gate_verify** (GateNode) — checks commits exist and tests pass
+- **auto_merge** (FnNode) — merges changes to default branch
diff --git a/factory/workflow/contributed/mini_swebench/__init__.py b/factory/workflow/contributed/mini_swebench/__init__.py
new file mode 100644
index 000000000..a3d053333
--- /dev/null
+++ b/factory/workflow/contributed/mini_swebench/__init__.py
@@ -0,0 +1,5 @@
+"""mini-SWE-bench workflow — mini-SWE-agent style bash-only solver."""
+
+from factory.workflow.contributed.mini_swebench.workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/mini_swebench/test_workflow.py b/factory/workflow/contributed/mini_swebench/test_workflow.py
new file mode 100644
index 000000000..e1d8e5b2a
--- /dev/null
+++ b/factory/workflow/contributed/mini_swebench/test_workflow.py
@@ -0,0 +1,46 @@
+"""Tests for the mini-swebench contributed workflow."""
+
+from factory.workflow.contributed.mini_swebench.workflow import workflow
+from factory.workflow.primitives import FnNode, GateNode, LLMNode
+
+
+def test_workflow_structure():
+ wf = workflow()
+ assert wf.name == "mini-swebench"
+ assert len(wf.nodes) == 4
+ assert wf.start_node == "read_task"
+ assert wf.terminal is True
+
+
+def test_node_types():
+ wf = workflow()
+ assert isinstance(wf.nodes["read_task"], FnNode)
+ assert isinstance(wf.nodes["solver"], LLMNode)
+ assert isinstance(wf.nodes["gate_verify"], GateNode)
+ assert isinstance(wf.nodes["auto_merge"], FnNode)
+
+
+def test_solver_has_bash_tool():
+ wf = workflow()
+ solver = wf.nodes["solver"]
+ assert isinstance(solver, LLMNode)
+ assert len(solver.tools) == 1
+ assert solver.tools[0].name == "bash"
+ assert solver.tools[0].executor == "bash"
+
+
+def test_solver_prompt_content():
+ wf = workflow()
+ solver = wf.nodes["solver"]
+ assert isinstance(solver, LLMNode)
+ assert "programming tasks" in solver.system_prompt
+ assert "<instructions>" in solver.instance_prompt
+ assert "{instance_context}" in solver.instance_prompt
+
+
+def test_edges():
+ wf = workflow()
+ edges = {(e.source, e.target): e.condition for e in wf.edges}
+ assert ("read_task", "solver") in edges
+ assert ("solver", "gate_verify") in edges
+ assert edges[("read_task", "solver")] is None
diff --git a/factory/workflow/contributed/mini_swebench/workflow.py b/factory/workflow/contributed/mini_swebench/workflow.py
new file mode 100644
index 000000000..e97447a85
--- /dev/null
+++ b/factory/workflow/contributed/mini_swebench/workflow.py
@@ -0,0 +1,247 @@
+"""mini-SWE-bench workflow — bash-only solver via direct LLM API calls.
+
+4-node pipeline: study → solver → gate_verify → auto_merge
+The solver node uses LLMNode (direct Anthropic API) with a single bash tool,
+replicating mini-SWE-agent's architecture without Claude Code overhead.
+
+Prompt override: set FACTORY_WORKFLOW_YAML_B64 env var with base64-encoded
+YAML annotations to override slot values (prompt, timeout, etc.) at runtime.
+"""
+
+import os
+from typing import Any, Literal
+
+from factory.models import ProjectState
+from factory.workflow.llm_tools import BASH_TOOL
+from factory.workflow.primitives import (
+ Edge,
+ FnNode,
+ GateNode,
+ LLMNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "mini-swebench",
+ "description": (
+ "mini-SWE-agent style SWE-bench solver — direct LLM API calls with "
+ "bash-only tool use. study → solver (LLMNode) → gate_verify → auto_merge."
+ ),
+}
+
+_SYSTEM_PROMPT = (
+ "You are a helpful assistant that can interact with a computer shell "
+ "to solve programming tasks."
+)
+
+_INSTANCE_PROMPT = """\
+<pr_description>
+Consider the following PR description:
+
+{instance_context}
+</pr_description>
+
+<instructions>
+# Task Instructions
+
+## Overview
+
+You're a software engineer interacting continuously with a computer by submitting commands.
+You'll be helping implement necessary changes to meet requirements in the PR description.
+Your task is specifically to make changes to non-test files in the current directory in order \
+to fix the issue described in the PR description in a way that is general and consistent with the codebase.
+<IMPORTANT>This is an interactive process where you will think and issue AT LEAST ONE command, see the result, \
+then think and issue your next command(s).</IMPORTANT>
+
+For each response:
+
+1. Include a THOUGHT section explaining your reasoning and what you're trying to accomplish
+2. Provide one or more bash tool calls to execute
+
+## Important Boundaries
+
+- MODIFY: Regular source code files in /testbed (this is the working directory for all your subsequent commands)
+- DO NOT MODIFY: Tests, configuration files (pyproject.toml, setup.cfg, etc.)
+
+## Recommended Workflow
+
+1. Analyze the codebase by finding and reading relevant files
+2. Create a script to reproduce the issue
+3. Edit the source code to resolve the issue
+4. Verify your fix works by running your script again
+5. Test edge cases to ensure your fix is robust
+
+## Command Execution Rules
+
+You are operating in an environment where
+
+1. You issue at least one command
+2. The system executes the command(s) in a subshell
+3. You see the result(s)
+4. You write your next command(s)
+
+Each response should include:
+
+1. **Reasoning text** where you explain your analysis and plan
+2. At least one tool call with your command
+
+**CRITICAL REQUIREMENTS:**
+
+- Your response SHOULD include reasoning text explaining what you're doing
+- Your response MUST include AT LEAST ONE bash tool call. You can make MULTIPLE tool calls in a \
+single response when the commands are independent (e.g., searching multiple files, reading different \
+parts of the codebase).
+- Directory or environment variable changes are not persistent. Every action is executed in a new subshell.
+- However, you can prefix any action with `MY_ENV_VAR=MY_VALUE cd /path/to/working/dir && ...` or \
+write/load environment variables from files
+
+Example of a CORRECT response:
+<example_response>
+I need to understand the Builder-related code. Let me find relevant files and check the project structure.
+
+[Makes multiple bash tool calls: {"command": "ls -la"}, {"command": "find src -name '*.java' | grep -i builder"}, {"command": "cat README.md | head -50"}]
+</example_response>
+
+## Environment Details
+
+- You have a full Linux shell environment
+- Always use non-interactive flags (-y, -f) for commands
+- Avoid interactive tools like vi, nano, or any that require user input
+- You can use bash commands or invoke any tool that is available in the environment
+- You can also create new tools or scripts to help you with the task
+- If a tool isn't available, you can also install it
+
+## Submission
+
+When you've completed your work, commit your changes directly on the current branch.
+Follow these steps IN ORDER, with SEPARATE commands:
+
+Step 1: Stage only the source files you modified
+Run `git add path/to/file1 path/to/file2` listing only the source files you modified.
+
+<IMPORTANT>
+Only stage the specific source files you modified to fix the issue.
+Do not stage any of the following files:
+
+- test and reproduction files
+- helper scripts, tests, or tools that you created
+- installation, build, packaging, configuration, or setup scripts unless they are directly part of the issue you were fixing
+- binary or compiled files
+</IMPORTANT>
+
+Step 2: Verify your staged changes
+Run `git diff --cached` to confirm only your intended changes are staged.
+
+Step 3: Commit with a descriptive message
+Run `git commit -m "Fix: <brief description of the fix>"`.
+
+<CRITICAL>
+- Do NOT create branches or PRs — commit directly on the current branch.
+- Clean up any temporary test or reproduction scripts before committing — do NOT leave them in the repo.
+- You CANNOT continue working after committing.
+</CRITICAL>
+</instructions>"""
+
+
+def _resolve_model() -> str:
+ return os.environ.get("FACTORY_STUDENT_MODEL", "opus")
+
+
+def _resolve_provider() -> Literal["anthropic", "vertex", "litellm"]:
+ if os.environ.get("CLAUDE_CODE_USE_VERTEX") or os.environ.get("ANTHROPIC_VERTEX_PROJECT_ID"):
+ return "vertex"
+ return "anthropic"
+
+
+def workflow() -> Workflow:
+ """Build the mini-SWE-bench workflow with LLMNode solver."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ nodes["read_task"] = FnNode(
+ id="read_task",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cat /tmp/task-instruction.md > {project_path}/.factory/reviews/task.md 2>/dev/null || "
+ "echo 'No task instruction found' > {project_path}/.factory/reviews/task.md"
+ ),
+ writes={".factory/reviews/task.md"},
+ )
+
+ nodes["solver"] = LLMNode(
+ id="solver",
+ system_prompt=_SYSTEM_PROMPT,
+ instance_prompt=_INSTANCE_PROMPT,
+ model=_resolve_model(),
+ provider=_resolve_provider(),
+ tools=[BASH_TOOL],
+ max_turns=100,
+ max_tokens=8192,
+ timeout=7200,
+ reads={".factory/reviews/task.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: solver did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(pass|succeed|ok|PASSED)'; then "
+ "echo 'pass: solver reports tests passing'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(fail|error|FAILED)'; then "
+ "echo 'reloop: solver needs to retry — tests did not pass'; "
+ "else "
+ "echo 'pass: changes committed, no issues detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ edges = [
+ Edge(source="read_task", target="solver"),
+ Edge(source="solver", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="solver", condition=VerdictType.RELOOP),
+ ]
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "mini-swebench"
+
+ return Workflow(
+ name="mini-swebench",
+ nodes=nodes,
+ edges=edges,
+ start_node="read_task",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/outer_loop/README.md b/factory/workflow/contributed/outer_loop/README.md
new file mode 100644
index 000000000..74cbbcc90
--- /dev/null
+++ b/factory/workflow/contributed/outer_loop/README.md
@@ -0,0 +1,25 @@
+# Outer Loop Workflow
+
+Evolutionary search for optimal workflow DAGs — evolves factory modes against benchmarks using population-based optimization.
+
+## Graph
+
+```
+seed (FnNode) → evaluate (FnNode) → reflect (FnNode) → evolve (FnNode) → gate_converge (GateNode)
+ ↑ │
+ └──────────────── RELOOP (until convergence) ────────────────┘
+```
+
+- **seed**: Initializes the population from a base workflow via `factory outer-loop calibrate`
+- **evaluate**: Evaluates current generation's candidates against benchmark instances
+- **reflect**: Runs contrastive reflection on winner/loser CycleRecord exhaust
+- **evolve**: Produces offspring via reflection-guided mutations
+- **gate_converge**: Checks convergence criteria (plateau, diversity collapse, budget, target score)
+
+## Usage
+
+```bash
+factory workflow run outer-loop --project /path/to/project
+```
+
+Typically orchestrated by the CEO in outer-loop mode. Each generation evaluates a population of candidate workflows, reflects on performance patterns, and produces informed mutations for the next generation.
diff --git a/factory/workflow/contributed/outer_loop/__init__.py b/factory/workflow/contributed/outer_loop/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/outer_loop/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/outer_loop/test_workflow.py b/factory/workflow/contributed/outer_loop/test_workflow.py
new file mode 100644
index 000000000..a82340028
--- /dev/null
+++ b/factory/workflow/contributed/outer_loop/test_workflow.py
@@ -0,0 +1,68 @@
+"""Tests for the outer-loop contributed workflow."""
+
+from __future__ import annotations
+
+from factory.workflow.contributed.outer_loop import meta, workflow
+from factory.workflow.primitives import (
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestOuterLoopWorkflow:
+ """Tests for outer-loop workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "outer-loop"
+
+ def test_meta_name(self) -> None:
+ assert meta["name"] == "outer-loop"
+
+ def test_node_count(self) -> None:
+ wf = workflow()
+ assert len(wf.nodes) == 6
+
+ def test_required_nodes_present(self) -> None:
+ wf = workflow()
+ for name in ("seed", "evaluate", "reflect", "evolve", "gate_converge"):
+ assert name in wf.nodes, f"Missing node: {name}"
+
+ def test_seed_is_fn_node(self) -> None:
+ wf = workflow()
+ assert isinstance(wf.nodes["seed"], FnNode)
+
+ def test_gate_converge_is_gate_node(self) -> None:
+ wf = workflow()
+ assert isinstance(wf.nodes["gate_converge"], GateNode)
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "seed"
+
+ def test_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_reloop_edge_exists(self) -> None:
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_converge" and e.target == "evaluate"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_forward_chain(self) -> None:
+ wf = workflow()
+ expected_chain = [
+ ("seed", "evaluate"),
+ ("evaluate", "reflect"),
+ ("reflect", "evolve"),
+ ("evolve", "gate_converge"),
+ ]
+ for src, tgt in expected_chain:
+ assert any(
+ e.source == src and e.target == tgt for e in wf.edges
+ ), f"Missing edge: {src} → {tgt}"
diff --git a/factory/workflow/contributed/outer_loop/workflow.py b/factory/workflow/contributed/outer_loop/workflow.py
new file mode 100644
index 000000000..5f5631779
--- /dev/null
+++ b/factory/workflow/contributed/outer_loop/workflow.py
@@ -0,0 +1,122 @@
+"""Outer loop workflow — evolutionary search for optimal workflow DAGs.
+
+5-node pipeline: seed → evaluate → reflect → evolve → gate_converge
+RELOOP from gate_converge back to evaluate until convergence criteria met.
+
+The outer loop CEO orchestrates this workflow to evolve factory modes
+against benchmarks. Each generation evaluates a population of candidate
+workflows via InnerLoop.step(), reflects on exhaust, and produces informed
+mutations for the next generation.
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "outer-loop",
+ "description": (
+ "Outer loop evolutionary search — evolve workflow DAGs against benchmarks. "
+ "seed → evaluate → reflect → evolve → gate_converge with RELOOP. "
+ "Terminal mode — does not chain."
+ ),
+}
+
+
+def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "outer-loop"
+
+
+def workflow() -> Workflow:
+ """Build the outer loop workflow."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ nodes["seed"] = FnNode(
+ id="seed",
+ command="factory outer-loop calibrate {project_path}",
+ notes=(
+ "Initialize the evolutionary search. The CEO must track $GENERATION=0 after this step. "
+ "All subsequent evaluate/reflect/evolve commands use the current $GENERATION value."
+ ),
+ writes={
+ ".factory/outer_loop/modes/",
+ ".factory/outer_loop/config.json",
+ },
+ )
+
+ nodes["evaluate"] = FnNode(
+ id="evaluate",
+ command="factory outer-loop evaluate {project_path} --generation {generation}",
+ notes="Substitute {generation} with the current $GENERATION value.",
+ reads={".factory/outer_loop/modes/"},
+ writes={
+ ".factory/outer_loop/results/",
+ ".factory/outer_loop/eval_cache.json",
+ },
+ )
+
+ nodes["reflect"] = FnNode(
+ id="reflect",
+ command="factory outer-loop reflect {project_path} --generation {generation}",
+ notes="Substitute {generation} with the current $GENERATION value.",
+ reads={".factory/outer_loop/results/"},
+ writes={".factory/outer_loop/reflections/"},
+ )
+
+ nodes["evolve"] = FnNode(
+ id="evolve",
+ command="factory outer-loop evolve {project_path} --generation {generation}",
+ notes=(
+ "Substitute {generation} with the current $GENERATION value. "
+ "After this step completes, increment $GENERATION by 1."
+ ),
+ reads={
+ ".factory/outer_loop/reflections/",
+ ".factory/outer_loop/modes/",
+ },
+ writes={".factory/outer_loop/modes/"},
+ )
+
+ nodes["gate_converge"] = GateNode(
+ id="gate_converge",
+ evaluator_type="fn",
+ evaluator_command="factory outer-loop status {project_path} --check-converge",
+ reads={".factory/outer_loop/results/"},
+ )
+
+ nodes["promote"] = FnNode(
+ id="promote",
+ command="factory outer-loop status {project_path}",
+ notes=(
+ "The search has converged. Read the status output to find the best mode name, "
+ "then run: factory outer-loop promote {project_path} "
+ "--mode-name <best_mode> --permanent-name evolved"
+ ),
+ reads={".factory/outer_loop/results/"},
+ )
+
+ edges = [
+ Edge(source="seed", target="evaluate"),
+ Edge(source="evaluate", target="reflect"),
+ Edge(source="reflect", target="evolve"),
+ Edge(source="evolve", target="gate_converge"),
+ Edge(source="gate_converge", target="evaluate", condition=VerdictType.RELOOP),
+ Edge(source="gate_converge", target="promote", condition=VerdictType.PROCEED),
+ ]
+
+ return Workflow(
+ name="outer-loop",
+ nodes=nodes,
+ edges=edges,
+ start_node="seed",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/programbench/README.md b/factory/workflow/contributed/programbench/README.md
new file mode 100644
index 000000000..4ef2dfe50
--- /dev/null
+++ b/factory/workflow/contributed/programbench/README.md
@@ -0,0 +1,25 @@
+# ProgramBench Workflow
+
+Discovery-first reverse engineering pipeline for reproducing compiled binary behavior.
+
+## Graph
+
+```
+discover (AgentNode) → plan (FnNode) → builder (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **discover**: Probes the compiled binary at `/workspace/executable` exhaustively — flags, stdin, exit codes
+- **plan**: Checkpoint node confirming discovery is complete
+- **builder**: Writes C source reproducing all discovered behaviors, creates `compile.sh`, runs differential testing
+- **gate_verify**: Verifies `compile.sh` exists and compiles successfully
+- **auto_merge**: Fast-forwards the base branch to include the solution
+
+## Usage
+
+```bash
+factory workflow run programbench --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container with a compiled binary at `/workspace/executable`.
diff --git a/factory/workflow/contributed/programbench/__init__.py b/factory/workflow/contributed/programbench/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/programbench/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/programbench/test_workflow.py b/factory/workflow/contributed/programbench/test_workflow.py
new file mode 100644
index 000000000..13611d5b3
--- /dev/null
+++ b/factory/workflow/contributed/programbench/test_workflow.py
@@ -0,0 +1,331 @@
+"""Tests for the ProgramBench contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.programbench import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestProgrambenchWorkflow:
+ """Tests for programbench workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "programbench"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: builder, reviewer, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"builder", "reviewer", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "builder"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: builder->reviewer, reviewer->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "discoveries.md" in node.prompt_template
+ assert "autonomous" in node.prompt_template.lower()
+ assert "__DATE__" in node.prompt_template
+
+ def test_builder_maintains_discoveries(self) -> None:
+ """Builder prompt instructs maintaining a structured discoveries file."""
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert "discoveries.md" in node.prompt_template
+ assert "## Discovery:" in node.prompt_template
+ assert "verified" in node.prompt_template
+ assert "uncertain" in node.prompt_template
+ assert "unexplored" in node.prompt_template
+ assert "Evidence" in node.prompt_template
+
+ def test_builder_reads_todos(self) -> None:
+ """Builder prompt instructs reading todos.md on RELOOP iterations."""
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert "todos.md" in node.prompt_template
+ assert "address EACH item" in node.prompt_template
+
+ def test_builder_backs_up_binary(self) -> None:
+ """Builder prompt instructs backing up executable to executable.bak."""
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert "executable.bak" in node.prompt_template
+ assert "cp /workspace/executable /workspace/executable.bak" in node.prompt_template
+
+ def test_reviewer_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["reviewer"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.RESEARCHER
+ assert "adversarial" in node.prompt_template.lower()
+ assert "autonomous" in node.prompt_template.lower()
+ assert "discoveries.md" in node.prompt_template
+
+ def test_reviewer_validates_discoveries(self) -> None:
+ """Reviewer compares builder output against ground truth binary."""
+ wf = workflow()
+ node = wf.nodes["reviewer"]
+ assert isinstance(node, AgentNode)
+ assert "executable.bak" in node.prompt_template
+ assert "executable" in node.prompt_template
+ assert "verified" in node.prompt_template
+ assert "incorrect" in node.prompt_template
+ assert "unexplored" in node.prompt_template
+
+ def test_reviewer_writes_todos(self) -> None:
+ """Reviewer writes todos.md with specific tasks for the builder."""
+ wf = workflow()
+ node = wf.nodes["reviewer"]
+ assert isinstance(node, AgentNode)
+ assert "todos.md" in node.prompt_template
+ assert "## TODO:" in node.prompt_template
+ assert "Expected" in node.prompt_template
+ assert "Actual" in node.prompt_template
+ assert "Action" in node.prompt_template
+
+ def test_reviewer_probes_unknown_unknowns(self) -> None:
+ """Reviewer probes for behaviors the builder didn't think of."""
+ wf = workflow()
+ node = wf.nodes["reviewer"]
+ assert isinstance(node, AgentNode)
+ assert "unknown" in node.prompt_template.lower()
+ assert "ADDITIONAL" in node.prompt_template
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+
+ def test_gate_verify_checks_todos(self) -> None:
+ """Gate checks todos.md for remaining items."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "todos.md" in node.evaluator_command
+ assert "## TODO" in node.evaluator_command
+
+ def test_gate_verify_checks_compilation(self) -> None:
+ """Gate verifies compilation via compile.sh."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "compile.sh" in node.evaluator_command
+
+ def test_gate_verify_multi_tier_test_detection(self) -> None:
+ """Gate probes for tests in priority order: make test, pytest, test.sh."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "make -n test" in node.evaluator_command
+ assert "pytest" in node.evaluator_command
+ assert "test.sh" in node.evaluator_command
+
+ def test_gate_verify_timeout(self) -> None:
+ """Gate uses timeout 7200 for compilation and test execution."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "timeout 7200" in node.evaluator_command
+
+ def test_gate_verify_command_references_test_results(self) -> None:
+ """Gate command writes structured results to /workspace/test-results.txt."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "test-results.txt" in node.evaluator_command
+
+ def test_gate_verify_writes_test_results(self) -> None:
+ """Gate writes test-results.txt (created during execution)."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert "/workspace/test-results.txt" in node.writes
+
+ def test_gate_verify_reads_todos(self) -> None:
+ """Gate reads set includes todos.md (backward compatibility)."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert "/workspace/todos.md" in node.reads
+
+ def test_builder_references_test_results(self) -> None:
+ """Builder prompt instructs reading test-results.txt on RELOOP."""
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert "test-results.txt" in node.prompt_template
+
+ def test_reviewer_references_test_results(self) -> None:
+ """Reviewer prompt mentions test-results.txt for additional context."""
+ wf = workflow()
+ node = wf.nodes["reviewer"]
+ assert isinstance(node, AgentNode)
+ assert "test-results.txt" in node.prompt_template
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_builder_to_reviewer_edge(self) -> None:
+ """builder feeds into reviewer."""
+ wf = workflow()
+ edges = [
+ e for e in wf.edges
+ if e.source == "builder" and e.target == "reviewer"
+ ]
+ assert len(edges) == 1
+
+ def test_reviewer_to_gate_edge(self) -> None:
+ """reviewer feeds into gate_verify."""
+ wf = workflow()
+ edges = [
+ e for e in wf.edges
+ if e.source == "reviewer" and e.target == "gate_verify"
+ ]
+ assert len(edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_discover_node(self) -> None:
+ """Discover node was removed — builder does its own discovery."""
+ wf = workflow()
+ assert "discover" not in wf.nodes
+
+
+class TestProgrambenchTerminal:
+ """Tests for the terminal flag on programbench workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["programbench"].terminal is True
+
+
+class TestProgrambenchTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_programbench_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "programbench"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "programbench"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "programbench"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "terminalbench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestProgrambenchRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "programbench" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["programbench"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered programbench workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["programbench"]
+ assert wf.trigger is not None
+
+
+class TestProgrambenchMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "programbench"
+
+ def test_meta_has_description(self) -> None:
+ assert "programbench" in meta["description"].lower() or "ProgramBench" in meta["description"]
diff --git a/factory/workflow/contributed/programbench/workflow.py b/factory/workflow/contributed/programbench/workflow.py
new file mode 100644
index 000000000..f193752c0
--- /dev/null
+++ b/factory/workflow/contributed/programbench/workflow.py
@@ -0,0 +1,294 @@
+"""ProgramBench benchmark workflow — adversarial discovery verification loop.
+
+4-node loop: builder → reviewer → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) when the
+reviewer finds incorrect or unexplored discoveries.
+
+Designed for Harbor containers where:
+- A compiled binary exists at /workspace/executable
+- The builder probes, implements, AND maintains a structured discoveries file
+- The reviewer adversarially validates each discovery against the ground truth
+- Todos drive targeted fixes on RELOOP iterations
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "programbench",
+ "description": (
+ "ProgramBench benchmark mode — adversarial discovery verification "
+ "loop. builder → reviewer → gate_verify → auto_merge "
+ "with RELOOP on unverified discoveries."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the ProgramBench workflow — adversarial discovery verification."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Builder ──────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are reverse-engineering a compiled binary and producing "
+ "equivalent source code for the ProgramBench benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md "
+ "for context on what the binary does.\n\n"
+ "2. **Back up the original binary** — Run: "
+ "cp /workspace/executable /workspace/executable.bak\n"
+ " (Skip if executable.bak already exists from a previous "
+ "iteration.)\n\n"
+ "3. **Check for TODOs from a previous review** — If "
+ "/workspace/todos.md exists, read it and address EACH item "
+ "before doing anything else. These are specific issues found by "
+ "the reviewer that MUST be fixed. Update /workspace/discoveries.md "
+ "with corrected evidence as you fix each TODO. "
+ "Also check /workspace/test-results.txt — if it exists, read it "
+ "for test failure diagnostics and fix any compilation or test "
+ "failures reported there.\n\n"
+ "4. **Probe the binary systematically** — Run the binary with:\n"
+ " - No arguments\n"
+ " - --help, -h\n"
+ " - --version, -V, -v\n"
+ " - Invalid/unknown flags to see error messages\n"
+ " - Single-letter flags: -a through -z, -A through -Z\n"
+ " - Common long flags: --verbose, --debug, --output, --input, "
+ "--format, --config, --list, --all, --recursive, --quiet\n"
+ " - Flags that take arguments — try them with various values\n"
+ " - Pipe input via stdin\n"
+ " - Provide sample files as arguments\n"
+ " - Combinations of flags\n\n"
+ "5. **Maintain the discoveries file** — For EVERY behavioral "
+ "discovery (flag behavior, output format, edge case, error "
+ "message, exit code, etc.), add an entry to "
+ "/workspace/discoveries.md with this format:\n\n"
+ " ```markdown\n"
+ " ## Discovery: <short title>\n"
+ " - **What:** <what was discovered>\n"
+ " - **Evidence:** <command run and output observed>\n"
+ " - **Status:** verified | uncertain | unexplored\n"
+ " - **Notes:** <any additional context>\n"
+ " ```\n\n"
+ " Record EVERY discovery, not just the ones you're confident "
+ "about. Mark discoveries as 'uncertain' if you're not 100%% sure. "
+ "Mark discoveries as 'unexplored' if you found something but "
+ "didn't dig into it yet.\n\n"
+ "6. **Read any documentation** — Check /workspace/ for README.md, "
+ "man pages, or other docs.\n\n"
+ "7. **Write the source code** — Implement C source code that "
+ "reproduces ALL discovered behaviors:\n"
+ " - Match every flag and option exactly\n"
+ " - Match output format exactly (spacing, newlines, field widths)\n"
+ " - Match exit codes exactly\n"
+ " - Match error messages exactly\n"
+ " - CRITICAL: Hardcode the exact version string from -V output. "
+ "Do NOT use __DATE__ or __TIME__ macros — these produce different "
+ "values on every build and will fail verification.\n\n"
+ "8. **Create compile.sh** — Write a build script that:\n"
+ " - Compiles the source to /workspace/executable\n"
+ " - Is executable (chmod +x)\n\n"
+ "9. **Test by diffing** — After compiling, test your build "
+ "against executable.bak by running the same commands on both and "
+ "comparing outputs. Fix any mismatches.\n\n"
+ "10. **Commit your changes** — Commit directly on the current "
+ "branch with a descriptive message.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- Record EVERY discovery, not just the ones you're confident "
+ "about\n"
+ "- Mark discoveries as 'uncertain' if you're not 100%% sure\n"
+ "- Mark discoveries as 'unexplored' if you found something but "
+ "didn't dig into it\n"
+ "- Do NOT skip the discoveries file — it is required\n"
+ "- Do NOT use __DATE__, __TIME__, or other non-deterministic "
+ "macros\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ ),
+ reads=set(),
+ writes={"/workspace/discoveries.md"},
+ )
+
+ # ── Node 2: Reviewer ─────────────────────────────────────────
+ nodes["reviewer"] = AgentNode(
+ id="reviewer",
+ role=AgentRole.RESEARCHER,
+ model="opus",
+ timeout=7200,
+ max_iterations=1,
+ prompt_template=(
+ "You are an adversarial reviewer for the ProgramBench benchmark. "
+ "A builder agent has probed a compiled binary, implemented source "
+ "code, and recorded its discoveries. Your job is to validate each "
+ "discovery against the ground truth binary and catch "
+ "overconfidence and missed exploration.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the discoveries** — Read /workspace/discoveries.md "
+ "to see what the builder found and claims to have implemented.\n\n"
+ "2. **Validate each discovery** — For EACH discovery entry:\n"
+ " a. Independently run the relevant command against "
+ "/workspace/executable.bak (the ground truth binary)\n"
+ " b. Run the same command against /workspace/executable "
+ "(the builder's version)\n"
+ " c. Compare the outputs character-by-character, including "
+ "whitespace, newlines, and exit codes\n"
+ " d. Classify the discovery:\n"
+ " - **verified**: the builder's implementation matches the "
+ "original binary for this behavior\n"
+ " - **incorrect**: the builder thinks it works but the "
+ "outputs differ\n"
+ " - **unexplored**: the builder noted this but didn't fully "
+ "implement or test it\n\n"
+ "3. **Write the review** — Save your review to "
+ "/workspace/review.md with classifications for each discovery. "
+ "Include the exact commands you ran and the outputs you "
+ "observed.\n\n"
+ "4. **Write TODOs if needed** — If ANY discoveries are "
+ "'incorrect' or 'unexplored', write /workspace/todos.md with "
+ "specific tasks:\n\n"
+ " ```markdown\n"
+ " ## TODO: <title>\n"
+ " - **Discovery:** <reference to the discovery>\n"
+ " - **Problem:** <what's wrong or what needs exploration>\n"
+ " - **Expected:** <what executable.bak actually outputs>\n"
+ " - **Actual:** <what the builder's version outputs>\n"
+ " - **Action:** <specific thing the builder needs to fix>\n"
+ " ```\n\n"
+ " If ALL discoveries are 'verified', write an empty "
+ "/workspace/todos.md (or don't create it).\n\n"
+ "5. **Probe for unknown unknowns** — Run a few ADDITIONAL test "
+ "cases against executable.bak that the builder didn't think of. "
+ "Try:\n"
+ " - Edge cases: empty input, very long input, binary input, "
+ "special characters\n"
+ " - Flag combinations the builder didn't try\n"
+ " - Uncommon but valid invocations\n"
+ " - Boundary values for numeric arguments\n"
+ " If any reveal NEW behaviors not in discoveries.md, add them "
+ "as 'unexplored' TODOs in /workspace/todos.md.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- Be ADVERSARIAL — assume the builder is overconfident\n"
+ "- Compare outputs EXACTLY — even minor whitespace differences "
+ "matter\n"
+ "- Always compare exit codes, not just stdout\n"
+ "- Do NOT fix the code yourself — only document issues for the "
+ "builder\n"
+ "- Do NOT create branches or PRs\n"
+ "- Do NOT run factory commands\n"
+ "- Test results may be available at /workspace/test-results.txt "
+ "— review them for additional context on build or test failures\n"
+ ),
+ reads={"/workspace/discoveries.md"},
+ writes={"/workspace/review.md", "/workspace/todos.md"},
+ )
+
+ # ── Node 3: Gate Verify ──────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "if [ -f /workspace/todos.md ] && [ -s /workspace/todos.md ] && "
+ "grep -q '## TODO' /workspace/todos.md; then "
+ "echo 'reloop: todos remain — see /workspace/todos.md'; exit 0; fi && "
+ "if [ ! -f compile.sh ]; then "
+ "echo 'reloop: compile.sh not found — builder must create a build script'; "
+ "exit 0; fi && "
+ "BUILD_OUT=$(timeout 7200 bash compile.sh 2>&1); BUILD_EC=$?; "
+ "if [ $BUILD_EC -ne 0 ]; then "
+ "printf 'Command: compile.sh\\nExit code: %d\\n\\n%s\\n' "
+ "\"$BUILD_EC\" \"$BUILD_OUT\" > /workspace/test-results.txt; "
+ "echo 'reloop: compilation failed — see /workspace/test-results.txt'; "
+ "exit 0; fi && "
+ "TEST_CMD=''; "
+ "if [ -f Makefile ] && make -n test >/dev/null 2>&1; then "
+ "TEST_CMD='make test'; "
+ "elif command -v pytest >/dev/null 2>&1 && "
+ "{ [ -d tests ] || ls test_*.py >/dev/null 2>&1; }; then "
+ "TEST_CMD='pytest'; "
+ "elif [ -x /workspace/test.sh ]; then "
+ "TEST_CMD='/workspace/test.sh'; fi; "
+ "if [ -z \"$TEST_CMD\" ]; then "
+ "echo 'pass: compilation succeeded, no test infrastructure found'; "
+ "exit 0; fi; "
+ "TEST_OUT=$(timeout 7200 $TEST_CMD 2>&1); TEST_EC=$?; "
+ "printf 'Command: %s\\nExit code: %d\\n\\n%s\\n' "
+ "\"$TEST_CMD\" \"$TEST_EC\" \"$TEST_OUT\" "
+ "> /workspace/test-results.txt; "
+ "if [ $TEST_EC -ne 0 ]; then "
+ "echo 'reloop: tests failed — see /workspace/test-results.txt'; "
+ "exit 0; fi; "
+ "SUMMARY=$(echo \"$TEST_OUT\" | tail -3 | tr '\\n' ' '); "
+ "echo \"pass: tests passed — $SUMMARY\""
+ ),
+ reads={"/workspace/todos.md"},
+ writes={"/workspace/test-results.txt"},
+ )
+
+ # ── Node 4: Auto Merge ───────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={"/workspace/review.md"},
+ )
+
+ # ── Edges ────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="builder", target="reviewer"),
+ Edge(source="reviewer", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ──────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "programbench"
+
+ return Workflow(
+ name="programbench",
+ nodes=nodes,
+ edges=edges,
+ start_node="builder",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/salitrap/README.md b/factory/workflow/contributed/salitrap/README.md
new file mode 100644
index 000000000..a301b0307
--- /dev/null
+++ b/factory/workflow/contributed/salitrap/README.md
@@ -0,0 +1,51 @@
+# SaliTrap Benchmark Workflow
+
+Commonsense reasoning under salience bias with numerical distractors.
+
+[SaliTrap](https://github.com/Wuzheng02/SaliTrap) (arXiv 2607.28478) is a 1,145-task
+benchmark measuring whether LLMs suppress known commonsense knowledge when distracted
+by salient numerical details. It tests 4 trap dimensions: Missing Prerequisite,
+Environmental Mismatch, Temporal/Physiological Violation, and Rule Mismatch.
+
+## Pipeline
+
+```
+study ──► solver ──► gate_verify ──► auto_merge
+ ▲ │
+ └── RELOOP ──┘
+```
+
+- **study**: Catalog workspace and read task instruction from `/tmp/task-instruction.md`
+- **solver**: Opus agent (3600s, 3 iterations) — physics-aware priming, identify trap, write structured answer
+- **gate_verify**: fn evaluator — check `/workspace/answer.txt` exists with content and commits present
+- **auto_merge**: Fast-forward main to the working branch
+
+## Usage
+
+```bash
+factory workflow run salitrap .
+```
+
+## What Makes SaliTrap Different
+
+| Aspect | SWE-bench | SaliTrap |
+|--------|-----------|----------|
+| Task type | Code modification | Commonsense reasoning |
+| Input | Bug description + repo | Reasoning scenario with distractors |
+| Agent behavior | Edit code, run tests | Identify traps, reason about feasibility |
+| Output | Code patch | Structured textual answer |
+| Evaluation | Test pass/fail | Trap Avoidance Rate (TAR) |
+
+## Key Metrics
+
+- **TAR** (Trap Avoidance Rate): Percentage of traps correctly identified
+- **HFR** (Hard Fail Rate): Rate of complete reasoning failures
+- **SCR** (Sycophantic Compliance Rate): Rate of blindly following scenario framing
+- **SI** (Sycophancy Index): Composite measure of knowledge suppression
+
+## MVP Approach
+
+Single-pass evaluation with physics-aware priming (P1 intervention from the paper).
+The solver prompt explicitly instructs the agent to verify physical prerequisites before
+engaging with numerical calculations. This maps to the most effective intervention
+(+31.4pp TAR for GLM-5.1 in the original study).
diff --git a/factory/workflow/contributed/salitrap/__init__.py b/factory/workflow/contributed/salitrap/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/salitrap/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/salitrap/test_workflow.py b/factory/workflow/contributed/salitrap/test_workflow.py
new file mode 100644
index 000000000..b67b42ec1
--- /dev/null
+++ b/factory/workflow/contributed/salitrap/test_workflow.py
@@ -0,0 +1,228 @@
+"""Tests for the SaliTrap contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.salitrap import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestSalitrapWorkflow:
+ """Tests for salitrap workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "salitrap"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, solver, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "solver", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->solver, solver->gate, gate->merge, gate->solver RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "task-instruction" in node.command
+
+ def test_solver_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["solver"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.model == "opus"
+ assert node.max_iterations == 3
+ assert node.timeout == 3600
+
+ def test_solver_has_physics_aware_priming(self) -> None:
+ """Solver prompt includes physics-aware priming per SaliTrap paper P1 intervention."""
+ wf = workflow()
+ node = wf.nodes["solver"]
+ assert isinstance(node, AgentNode)
+ assert "prerequisite" in node.prompt_template.lower()
+ assert "physical" in node.prompt_template.lower()
+ assert "infeasible" in node.prompt_template.lower()
+ assert "trap" in node.prompt_template.lower()
+
+ def test_solver_checks_four_trap_dimensions(self) -> None:
+ """Solver prompt references all 4 SaliTrap trap dimensions."""
+ wf = workflow()
+ node = wf.nodes["solver"]
+ assert isinstance(node, AgentNode)
+ assert "Missing Prerequisite" in node.prompt_template
+ assert "Environmental Mismatch" in node.prompt_template
+ assert "Temporal/Physiological" in node.prompt_template
+ assert "Rule Mismatch" in node.prompt_template
+
+ def test_solver_writes_answer_file(self) -> None:
+ """Solver writes structured answer to /workspace/answer.txt."""
+ wf = workflow()
+ node = wf.nodes["solver"]
+ assert isinstance(node, AgentNode)
+ assert "answer.txt" in node.prompt_template
+ assert "/workspace/answer.txt" in node.writes
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+
+ def test_gate_verify_checks_answer_file(self) -> None:
+ """Gate checks /workspace/answer.txt exists and has content."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_command is not None
+ assert "answer.txt" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to solver."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "solver"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ """No deep-QA pipeline nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ """No researcher or strategist nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestSalitrapTerminal:
+ """Tests for the terminal flag on salitrap workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["salitrap"].terminal is True
+
+
+class TestSalitrapTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_salitrap_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "salitrap"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "salitrap"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "salitrap"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestSalitrapRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "salitrap" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["salitrap"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered salitrap workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["salitrap"]
+ assert wf.trigger is not None
+
+
+class TestSalitrapMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "salitrap"
+
+ def test_meta_has_description(self) -> None:
+ assert "salitrap" in meta["description"].lower() or "SaliTrap" in meta["description"]
diff --git a/factory/workflow/contributed/salitrap/workflow.py b/factory/workflow/contributed/salitrap/workflow.py
new file mode 100644
index 000000000..fe2316b05
--- /dev/null
+++ b/factory/workflow/contributed/salitrap/workflow.py
@@ -0,0 +1,189 @@
+"""SaliTrap benchmark workflow — commonsense reasoning under salience bias.
+
+4-node pipeline: study → solver → gate_verify → auto_merge
+RELOOP from gate_verify back to solver (max 3 iterations) if answer file missing.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md (passed via --prompt)
+- Task instruction contains a commonsense reasoning scenario with numerical distractors
+- The agent must identify salience traps and reason about physical prerequisites
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "salitrap",
+ "description": (
+ "SaliTrap benchmark mode — commonsense reasoning 4-node pipeline for "
+ "identifying salience traps in reasoning scenarios with numerical distractors. "
+ "study → solver → gate_verify → auto_merge with RELOOP on missing answer."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the SaliTrap workflow from scratch."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Workspace Structure ===' && "
+ "find . -type f | head -100 && "
+ "echo '\\n=== Task Instruction ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction file found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Solver ─────────────────────────────────────────────
+ nodes["solver"] = AgentNode(
+ id="solver",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=3600,
+ max_iterations=3,
+ prompt_template=(
+ "You are solving a commonsense reasoning task for the SaliTrap "
+ "benchmark. The task instruction describes a real-world scenario "
+ "that may contain SALIENCE TRAPS — numerical details designed to "
+ "distract you from fundamental physical, environmental, temporal, "
+ "or rule-based constraints.\n\n"
+ "## CRITICAL: Physics-Aware Reasoning\n\n"
+ "Before engaging with ANY numerical optimization or calculation, "
+ "you MUST first verify the physical prerequisites of the scenario:\n"
+ "1. **Missing Prerequisites** — Does the scenario assume resources, "
+ "tools, or conditions that are not actually present?\n"
+ "2. **Environmental Mismatch** — Is the proposed action physically "
+ "possible in the described environment?\n"
+ "3. **Temporal/Physiological Violations** — Does the scenario "
+ "require actions that violate biological limits or time constraints?\n"
+ "4. **Rule Mismatches** — Does the scenario ignore regulations, "
+ "social norms, or logical rules?\n\n"
+ "If ANY prerequisite is violated, the correct answer is that the "
+ "task is INFEASIBLE regardless of how optimal the numerical "
+ "parameters might be. Do NOT be distracted by detailed numbers.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md "
+ "carefully. Identify the scenario and any embedded numerical "
+ "distractors.\n\n"
+ "2. **Check physical prerequisites FIRST** — Before any "
+ "calculation, verify that the fundamental assumptions of the "
+ "scenario are physically valid. Ask: 'Can this actually happen "
+ "in the real world as described?'\n\n"
+ "3. **Identify the trap dimension** — If a trap exists, classify "
+ "it as one of: Missing Prerequisite, Environmental Mismatch, "
+ "Temporal/Physiological Violation, or Rule Mismatch.\n\n"
+ "4. **Write your answer** — Write a structured answer to "
+ "/workspace/answer.txt containing:\n"
+ " - **Verdict:** feasible or infeasible\n"
+ " - **Trap type:** (if infeasible) which trap dimension applies\n"
+ " - **Reasoning:** step-by-step reasoning chain showing how "
+ "you identified the trap or confirmed feasibility\n"
+ " - **Key insight:** the specific physical/environmental/"
+ "temporal/rule constraint that makes this infeasible (or why "
+ "all prerequisites are met)\n\n"
+ "5. **Commit your answer** — Commit the answer file on the "
+ "current branch.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- ALWAYS check physical prerequisites before numerical reasoning\n"
+ "- When in doubt about feasibility, lean toward INFEASIBLE — "
+ "most scenarios in this benchmark contain hidden traps\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- Do NOT optimize numerical parameters if prerequisites are "
+ "violated — state the violation directly\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={"/workspace/answer.txt"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "if [ ! -f /workspace/answer.txt ]; then "
+ "echo 'reloop: answer.txt not found at /workspace/answer.txt'; "
+ "exit 0; fi && "
+ "if [ ! -s /workspace/answer.txt ]; then "
+ "echo 'reloop: answer.txt is empty'; "
+ "exit 0; fi && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'reloop: no commits found — solver must commit answer.txt'; "
+ "exit 0; fi && "
+ "echo 'pass: answer.txt exists with content and changes committed'"
+ ),
+ reads={"/workspace/answer.txt"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={"/workspace/answer.txt"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="solver"),
+ Edge(source="solver", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="solver", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "salitrap"
+
+ return Workflow(
+ name="salitrap",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/swebench/README.md b/factory/workflow/contributed/swebench/README.md
new file mode 100644
index 000000000..d01359dd4
--- /dev/null
+++ b/factory/workflow/contributed/swebench/README.md
@@ -0,0 +1,24 @@
+# SWE-bench Workflow
+
+Minimal 4-node pipeline for solving GitHub issues in containerized evaluation (Harbor).
+
+## Graph
+
+```
+study (FnNode) → builder (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **study**: Scans repo structure, test files, and reads `/tmp/task-instruction.md`
+- **builder**: Implements the minimal bug fix, runs tests, commits
+- **gate_verify**: Checks builder committed changes and reports test status
+- **auto_merge**: Fast-forwards the base branch to include the fix
+
+## Usage
+
+```bash
+factory workflow run swebench --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container where the task instruction is pre-populated at `/tmp/task-instruction.md`.
diff --git a/factory/workflow/contributed/swebench/__init__.py b/factory/workflow/contributed/swebench/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/swebench/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/swebench/test_workflow.py b/factory/workflow/contributed/swebench/test_workflow.py
new file mode 100644
index 000000000..8f18f8c93
--- /dev/null
+++ b/factory/workflow/contributed/swebench/test_workflow.py
@@ -0,0 +1,196 @@
+"""Tests for the SWE-bench contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.swebench import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestSwebenchWorkflow:
+ """Tests for swebench workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "swebench"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, builder, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->builder, builder->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "find" in node.command
+ assert "task-instruction" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "MINIMAL" in node.prompt_template
+ assert "run" in node.prompt_template.lower()
+ assert "test" in node.prompt_template.lower()
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ """No deep-QA pipeline nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ """No researcher or strategist nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestSwebenchTerminal:
+ """Tests for the terminal flag on swebench workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["swebench"].terminal is True
+
+
+class TestSwebenchTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_swebench_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "swebench"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "swebench"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "build"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestSwebenchRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "swebench" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["swebench"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered swebench workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["swebench"]
+ assert wf.trigger is not None
+
+
+class TestSwebenchMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "swebench"
+
+ def test_meta_has_description(self) -> None:
+ assert "swebench" in meta["description"].lower() or "SWE-bench" in meta["description"]
diff --git a/factory/workflow/contributed/swebench/workflow.py b/factory/workflow/contributed/swebench/workflow.py
new file mode 100644
index 000000000..c9b1f3a98
--- /dev/null
+++ b/factory/workflow/contributed/swebench/workflow.py
@@ -0,0 +1,166 @@
+"""SWE-bench benchmark workflow — minimal bug-fix pipeline for containerized evaluation.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on test failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md (passed via --prompt)
+- Harbor's pytest verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "swebench",
+ "description": (
+ "SWE-bench benchmark mode — minimal 4-node pipeline for solving "
+ "GitHub issues in containerized evaluation. study → builder → "
+ "gate_verify → auto_merge with RELOOP on test failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the SWE-bench workflow from scratch (not composed from improve)."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Repository Structure ===' && "
+ "find . -type f -name '*.py' | head -200 && "
+ "echo '\\n=== Test Files ===' && "
+ "find . -type f -name 'test_*.py' -o -name '*_test.py' | head -50 && "
+ "echo '\\n=== Configuration Files ===' && "
+ "ls -la setup.py setup.cfg pyproject.toml tox.ini conftest.py 2>/dev/null || true && "
+ "echo '\\n=== Task Instruction ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction file found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are fixing a bug in an open-source project for the SWE-bench benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md for the full "
+ "bug description and task requirements.\n\n"
+ "2. **Understand the codebase** — explore the repository structure. "
+ "Read relevant source files, test files, and configuration. "
+ "Identify the root cause of the bug described in the task.\n\n"
+ "3. **Implement the fix** — make the MINIMAL change that resolves the "
+ "issue. Do NOT refactor, modernize, or add unrelated improvements. "
+ "Fix ONLY the described bug.\n\n"
+ "4. **Run the project's own tests** — this is CRITICAL. Run the test "
+ "suite to verify your fix works AND existing tests still pass. "
+ "Use pytest, tox, or whatever test runner the project uses. "
+ "If specific test files are mentioned in the task, run those first.\n\n"
+ "5. **Commit your changes** — commit directly on the current branch "
+ "with a descriptive message referencing the issue. Do NOT create a "
+ "new branch. Do NOT create a PR.\n\n"
+ "## Rules\n\n"
+ "- MINIMAL fix only — smallest diff that resolves the issue\n"
+ "- MUST run tests before committing — never commit untested code\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- Do NOT modify test files unless the bug is IN the test infrastructure\n"
+ "- If tests fail after your fix, investigate and fix the issue\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(pass|succeed|ok|PASSED)'; then "
+ "echo 'pass: builder reports tests passing'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(fail|error|FAILED)'; then "
+ "echo 'reloop: builder needs to retry — tests did not pass'; "
+ "else "
+ "echo 'pass: changes committed, no issues detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "swebench"
+
+ return Workflow(
+ name="swebench",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/swebenchifyhard/README.md b/factory/workflow/contributed/swebenchifyhard/README.md
new file mode 100644
index 000000000..bd7ccb3bc
--- /dev/null
+++ b/factory/workflow/contributed/swebenchifyhard/README.md
@@ -0,0 +1,30 @@
+# SWE-benchify-hard Benchmark Workflow
+
+Minimal 4-node bug-fix pipeline for the SWE-benchify-hard dataset: 284 synthetic
+Go bug-fix instances where at least one of Claude Haiku, Sonnet, or Opus failed
+to solve the problem.
+
+## Dataset
+
+**Harbor:** `red-hat-ai/SWE-benchify-hard` ([Hub link](https://hub.harborframework.com/datasets/red-hat-ai/SWE-benchify-hard))
+
+- 284 instances across 6 Go repositories
+- Synthetic bugs introduced via AST mutation and LLM-guided semantic mutation
+- Validated with Docker F2P/P2P, N-run flake quarantine, and self-screening
+- Published by the SWE-benchify project (Red Hat AI Innovation Team)
+
+## Pipeline
+
+```
+study → builder → gate_verify → auto_merge
+ ↑ ↓
+ └────┘ RELOOP (max 3)
+```
+
+Same structure as the vanilla `swebench` workflow, adapted for Go projects.
+
+## Usage
+
+```bash
+factory workflow run swebenchifyhard .
+```
diff --git a/factory/workflow/contributed/swebenchifyhard/__init__.py b/factory/workflow/contributed/swebenchifyhard/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/swebenchifyhard/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/swebenchifyhard/test_workflow.py b/factory/workflow/contributed/swebenchifyhard/test_workflow.py
new file mode 100644
index 000000000..d28fd61cf
--- /dev/null
+++ b/factory/workflow/contributed/swebenchifyhard/test_workflow.py
@@ -0,0 +1,170 @@
+"""Tests for the SWE-benchify-hard contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.swebenchifyhard import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestSwebenchifyHardWorkflow:
+ """Tests for swebenchifyhard workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "swebenchifyhard"
+
+ def test_node_count(self) -> None:
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "find" in node.command
+ assert "task-instruction" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "MINIMAL" in node.prompt_template
+ assert "go test" in node.prompt_template.lower()
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestSwebenchifyHardTrigger:
+
+ def test_trigger_matches_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebenchifyhard"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "swebenchifyhard"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "swebenchifyhard"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestSwebenchifyHardRegistration:
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "swebenchifyhard" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["swebenchifyhard"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["swebenchifyhard"]
+ assert wf.trigger is not None
+
+
+class TestSwebenchifyHardMeta:
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "swebenchifyhard"
+
+ def test_meta_has_description(self) -> None:
+ assert "benchify" in meta["description"].lower()
diff --git a/factory/workflow/contributed/swebenchifyhard/workflow.py b/factory/workflow/contributed/swebenchifyhard/workflow.py
new file mode 100644
index 000000000..fdb5511a7
--- /dev/null
+++ b/factory/workflow/contributed/swebenchifyhard/workflow.py
@@ -0,0 +1,166 @@
+"""SWE-benchify-hard benchmark workflow — bug-fix pipeline for synthetic Go instances.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on test failure.
+
+Uses the same structure as the swebench workflow. Designed for Harbor containers
+with the SWE-benchify-hard dataset (284 synthetic Go instances where at least one
+of Haiku/Sonnet/Opus failed to solve).
+
+Dataset: red-hat-ai/SWE-benchify-hard on Harbor Hub.
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "swebenchifyhard",
+ "description": (
+ "SWE-benchify-hard benchmark — 284 synthetic Go bug-fix instances "
+ "where at least one Claude model failed. study → builder → "
+ "gate_verify → auto_merge with RELOOP on test failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the SWE-benchify-hard workflow."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Repository Structure ===' && "
+ "find . -type f -name '*.go' | head -200 && "
+ "echo '\\n=== Test Files ===' && "
+ "find . -type f -name '*_test.go' | head -50 && "
+ "echo '\\n=== Configuration Files ===' && "
+ "ls -la go.mod go.sum Makefile 2>/dev/null || true && "
+ "echo '\\n=== Task Instruction ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction file found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are fixing a bug in an open-source Go project for the "
+ "SWE-benchify-hard benchmark.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md for the full "
+ "bug description and task requirements.\n\n"
+ "2. **Understand the codebase** — explore the repository structure. "
+ "Read relevant source files, test files, and configuration. "
+ "Identify the root cause of the bug described in the task.\n\n"
+ "3. **Implement the fix** — make the MINIMAL change that resolves the "
+ "issue. Do NOT refactor, modernize, or add unrelated improvements. "
+ "Fix ONLY the described bug.\n\n"
+ "4. **Run the project's own tests** — this is CRITICAL. Run `go test` "
+ "to verify your fix works AND existing tests still pass. "
+ "If specific test names are mentioned in the task, run those first.\n\n"
+ "5. **Commit your changes** — commit directly on the current branch "
+ "with a descriptive message referencing the issue. Do NOT create a "
+ "new branch. Do NOT create a PR.\n\n"
+ "## Rules\n\n"
+ "- MINIMAL fix only — smallest diff that resolves the issue\n"
+ "- MUST run tests before committing — never commit untested code\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- Do NOT modify test files unless the bug is IN the test infrastructure\n"
+ "- If tests fail after your fix, investigate and fix the issue\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(pass|succeed|ok|PASSED)'; then "
+ "echo 'pass: builder reports tests passing'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(fail|error|FAILED)'; then "
+ "echo 'reloop: builder needs to retry — tests did not pass'; "
+ "else "
+ "echo 'pass: changes committed, no issues detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "swebenchifyhard"
+
+ return Workflow(
+ name="swebenchifyhard",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ trigger=trigger,
+ terminal=True,
+ )
diff --git a/factory/workflow/contributed/terminalbench/README.md b/factory/workflow/contributed/terminalbench/README.md
new file mode 100644
index 000000000..6b6ef099b
--- /dev/null
+++ b/factory/workflow/contributed/terminalbench/README.md
@@ -0,0 +1,24 @@
+# TerminalBench Workflow
+
+4-node pipeline for real-world engineering tasks in terminal environments — from compiling legacy software to scientific computing to system configuration.
+
+## Graph
+
+```
+study (FnNode) → builder (AgentNode) → gate_verify (GateNode) → auto_merge (FnNode)
+ ↑ │
+ └── RELOOP (max 3) ──────┘
+```
+
+- **study**: Inventories workspace, git state, available languages/compilers/tools, and reads `/tmp/task-instruction.md`
+- **builder**: Solves the engineering task — installs dependencies, writes code, verifies result, commits
+- **gate_verify**: Checks builder committed changes and scans for success/failure signals
+- **auto_merge**: Fast-forwards the base branch to include the solution
+
+## Usage
+
+```bash
+factory workflow run terminalbench --project /path/to/repo
+```
+
+Typically invoked inside a Harbor container. Tasks span software engineering, scientific computing, system administration, security, ML, data processing, and more.
diff --git a/factory/workflow/contributed/terminalbench/__init__.py b/factory/workflow/contributed/terminalbench/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/terminalbench/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/terminalbench/test_workflow.py b/factory/workflow/contributed/terminalbench/test_workflow.py
new file mode 100644
index 000000000..0932b6ecd
--- /dev/null
+++ b/factory/workflow/contributed/terminalbench/test_workflow.py
@@ -0,0 +1,180 @@
+"""Tests for the TerminalBench contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.terminalbench import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestTerminalbenchWorkflow:
+ """Tests for terminalbench workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "terminalbench"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, builder, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->builder, builder->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "git status" in node.command
+ assert "git log" in node.command
+ assert "ls -la" in node.command
+ assert "task-instruction" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "terminal" in node.prompt_template.lower()
+ assert "autonomous" in node.prompt_template.lower()
+ assert "verify" in node.prompt_template.lower()
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+
+class TestTerminalbenchTerminal:
+ """Tests for the terminal flag on terminalbench workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["terminalbench"].terminal is True
+
+
+class TestTerminalbenchTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_terminalbench_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "terminalbench"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "terminalbench"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "terminalbench"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestTerminalbenchRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "terminalbench" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["terminalbench"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered terminalbench workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["terminalbench"]
+ assert wf.trigger is not None
+
+
+class TestTerminalbenchMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "terminalbench"
+
+ def test_meta_has_description(self) -> None:
+ assert "terminalbench" in meta["description"].lower() or "TerminalBench" in meta["description"]
diff --git a/factory/workflow/contributed/terminalbench/workflow.py b/factory/workflow/contributed/terminalbench/workflow.py
new file mode 100644
index 000000000..2a3f2aec1
--- /dev/null
+++ b/factory/workflow/contributed/terminalbench/workflow.py
@@ -0,0 +1,197 @@
+"""TerminalBench benchmark workflow — pipeline for real-world engineering tasks.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md
+- Tasks span software engineering, scientific computing, system administration,
+ security, ML, data processing, debugging, file operations, and more
+- The common thread: agent operates in a terminal and must independently
+ navigate complex real-world tasks
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "terminalbench",
+ "description": (
+ "TerminalBench benchmark mode — 4-node pipeline for solving "
+ "real-world engineering tasks in terminal environments, from compiling "
+ "legacy software to scientific computing to system configuration. "
+ "study → builder → gate_verify → auto_merge with RELOOP on failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the TerminalBench workflow from scratch (not composed from improve)."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Workspace ===' && "
+ "ls -la && "
+ "echo '\\n=== Git ===' && "
+ "git status 2>/dev/null || echo 'Not a git repository' && "
+ "git log --oneline -10 2>/dev/null || true && "
+ "echo '\\n=== Languages ===' && "
+ "(python3 --version 2>/dev/null || true) && "
+ "(gcc --version 2>/dev/null | head -1 || true) && "
+ "(g++ --version 2>/dev/null | head -1 || true) && "
+ "(rustc --version 2>/dev/null || true) && "
+ "(go version 2>/dev/null || true) && "
+ "(node --version 2>/dev/null || true) && "
+ "(java -version 2>&1 | head -1 || true) && "
+ "(R --version 2>/dev/null | head -1 || true) && "
+ "echo '\\n=== Package Managers ===' && "
+ "(which pip pip3 apt npm cargo gem luarocks 2>/dev/null || true) && "
+ "echo '\\n=== Tools ===' && "
+ "(which make cmake git curl wget docker "
+ "gdb strace ltrace valgrind sqlite3 ffmpeg "
+ "openssl nmap 2>/dev/null || true) && "
+ "echo '\\n=== Task ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are solving a real-world engineering task in a terminal environment.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md carefully. "
+ "Understand exactly what the task is asking you to produce or accomplish, "
+ "including any expected output format or success criteria.\n\n"
+ "2. **Understand the task type** — Tasks can range widely: building or "
+ "debugging software, scientific computing, system administration, security "
+ "analysis, data processing, ML model work, file format manipulation, "
+ "mathematical computation, and more. Identify what kind of problem this is "
+ "before diving in.\n\n"
+ "3. **Explore the environment** — Check what languages, compilers, tools, and "
+ "package managers are available. Review the study output for an environment "
+ "summary. Examine the workspace files and directory structure to understand "
+ "what you are working with.\n\n"
+ "4. **Install dependencies** — If the task requires tools, libraries, or "
+ "packages that are not already installed, install them using the available "
+ "package manager (apt, pip, npm, cargo, etc.). Do this proactively before "
+ "attempting the solution.\n\n"
+ "5. **Implement the solution** — Write code, compile programs, configure "
+ "services, run analyses, execute commands — whatever the task requires. "
+ "Work methodically: break complex tasks into steps and verify each step "
+ "before moving on.\n\n"
+ "6. **Verify the result** — Test that your solution produces the expected "
+ "output or achieves the expected outcome. Re-read the task instruction to "
+ "confirm you have not missed any requirements.\n\n"
+ "7. **Commit your changes** — Commit directly on the current branch "
+ "with a descriptive message. Do NOT create a new branch. Do NOT create a PR.\n\n"
+ "## Rules\n\n"
+ "- Act AUTONOMOUSLY — do NOT ask for confirmation or input\n"
+ "- Read the FULL task instruction before starting — details matter\n"
+ "- Install any missing dependencies proactively — do not assume they exist\n"
+ "- MUST verify the result matches expected output before committing\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- If something fails, investigate root cause and try alternative approaches\n"
+ "- If a tool or library is unavailable, find or build an alternative\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE '(pass|succeed|ok|complete|done|verified|correct|works)'; then "
+ "echo 'pass: builder reports task completed successfully'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE '(fail|error|broken|cannot|unable|wrong)'; then "
+ "echo 'reloop: builder needs to retry — solution not confirmed'; "
+ "else "
+ "echo 'pass: changes committed, no failure signals detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "terminalbench"
+
+ return Workflow(
+ name="terminalbench",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/contributed/tomswe/README.md b/factory/workflow/contributed/tomswe/README.md
new file mode 100644
index 000000000..fc452c81e
--- /dev/null
+++ b/factory/workflow/contributed/tomswe/README.md
@@ -0,0 +1,43 @@
+# ToM-SWE Benchmark Workflow
+
+Preference-aware task solving under deliberately vague instructions.
+
+[ToM-SWE](https://github.com/All-Hands-AI/ToM-SWE) (ICML 2026, OpenHands) evaluates
+stateful SWE agents via 15 developer profiles. Tasks are deliberately vague — the agent
+must infer user intent from context clues and follow the user's coding preferences
+(naming conventions, testing approach, git workflow, documentation habits) as described
+in an embedded user profile.
+
+## Pipeline
+
+```
+study ──► builder ──► gate_verify ──► auto_merge
+ ▲ │
+ └── RELOOP ──┘
+```
+
+- **study**: Discover repo structure, read task instruction with embedded user profile
+- **builder**: Opus agent (7200s, 3 iterations) — infer intent, apply preferences, implement, test, commit
+- **gate_verify**: fn evaluator — check commits exist + test pass/fail signals
+- **auto_merge**: Fast-forward main to the working branch
+
+## Usage
+
+```bash
+factory workflow run tomswe .
+```
+
+## What Makes ToM-SWE Different
+
+| Aspect | SWE-bench | ToM-SWE |
+|--------|-----------|---------|
+| Instructions | Explicit bug description | Deliberately vague |
+| User context | None | Embedded developer profile |
+| Agent behavior | Fix the described bug | Infer intent + follow preferences |
+| Evaluation | Patch correctness | Task resolution + preference alignment |
+
+## MVP Approach
+
+The user profile is embedded directly in `/tmp/task-instruction.md` as a `## User Profile`
+section. The builder reads both the vague task description and the profile as static context.
+No sidecar services, no LLM-powered simulator, no session management.
diff --git a/factory/workflow/contributed/tomswe/__init__.py b/factory/workflow/contributed/tomswe/__init__.py
new file mode 100644
index 000000000..8a7feb27f
--- /dev/null
+++ b/factory/workflow/contributed/tomswe/__init__.py
@@ -0,0 +1,3 @@
+from .workflow import meta, workflow
+
+__all__ = ["meta", "workflow"]
diff --git a/factory/workflow/contributed/tomswe/test_workflow.py b/factory/workflow/contributed/tomswe/test_workflow.py
new file mode 100644
index 000000000..8d064a7c5
--- /dev/null
+++ b/factory/workflow/contributed/tomswe/test_workflow.py
@@ -0,0 +1,196 @@
+"""Tests for the ToM-SWE contributed workflow."""
+
+from __future__ import annotations
+
+from factory.models import ProjectState
+from factory.workflow.contributed.tomswe import meta, workflow
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+class TestTomsweWorkflow:
+ """Tests for tomswe workflow graph structure."""
+
+ def test_workflow_name(self) -> None:
+ wf = workflow()
+ assert wf.name == "tomswe"
+
+ def test_node_count(self) -> None:
+ """Workflow has exactly 4 nodes: study, builder, gate_verify, auto_merge."""
+ wf = workflow()
+ assert len(wf.nodes) == 4
+ assert set(wf.nodes.keys()) == {"study", "builder", "gate_verify", "auto_merge"}
+
+ def test_start_node(self) -> None:
+ wf = workflow()
+ assert wf.start_node == "study"
+
+ def test_graph_validates(self) -> None:
+ """Graph passes structural validation (DAG check, edge consistency)."""
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow has validation issues: {issues}"
+
+ def test_edge_count(self) -> None:
+ """4 edges: study->builder, builder->gate, gate->merge, gate->builder RELOOP."""
+ wf = workflow()
+ assert len(wf.edges) == 4
+
+ def test_study_node_is_fn(self) -> None:
+ wf = workflow()
+ node = wf.nodes["study"]
+ assert isinstance(node, FnNode)
+ assert "find" in node.command
+ assert "task-instruction" in node.command
+
+ def test_builder_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.BUILDER
+ assert node.max_iterations == 3
+ assert node.timeout == 7200
+ assert "preference" in node.prompt_template.lower()
+ assert "vague" in node.prompt_template.lower()
+ assert "infer" in node.prompt_template.lower()
+
+ def test_gate_verify_is_fn_evaluator(self) -> None:
+ """Gate uses fn evaluator (not agent) for speed and determinism."""
+ wf = workflow()
+ node = wf.nodes["gate_verify"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "fn"
+ assert node.evaluator_command is not None
+ assert "pass:" in node.evaluator_command
+ assert "reloop:" in node.evaluator_command
+ assert "fail:" in node.evaluator_command
+
+ def test_auto_merge_node(self) -> None:
+ wf = workflow()
+ node = wf.nodes["auto_merge"]
+ assert isinstance(node, FnNode)
+ assert "git update-ref" in node.command
+
+ def test_proceed_edge_to_merge(self) -> None:
+ """gate_verify has a PROCEED edge to auto_merge."""
+ wf = workflow()
+ proceed_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "auto_merge"
+ and e.condition == VerdictType.PROCEED
+ ]
+ assert len(proceed_edges) == 1
+
+ def test_reloop_edge_exists(self) -> None:
+ """gate_verify has a RELOOP edge back to builder."""
+ wf = workflow()
+ reloop_edges = [
+ e for e in wf.edges
+ if e.source == "gate_verify"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1
+
+ def test_no_eval_infrastructure(self) -> None:
+ """No factory eval nodes (begin, finalize, precheck, study)."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "begin" not in node_ids
+ assert "finalize" not in node_ids
+ assert "gate_precheck" not in node_ids
+ for node in wf.nodes.values():
+ if isinstance(node, FnNode):
+ assert "factory eval" not in node.command
+ assert "factory finalize" not in node.command
+ assert "factory precheck" not in node.command
+ assert "factory begin" not in node.command
+
+ def test_no_deep_qa_nodes(self) -> None:
+ """No deep-QA pipeline nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "health_checker" not in node_ids
+ assert "code_reviewer" not in node_ids
+ assert "adversarial_tester" not in node_ids
+ assert "gate_review" not in node_ids
+
+ def test_no_research_strategy_nodes(self) -> None:
+ """No researcher or strategist nodes."""
+ wf = workflow()
+ node_ids = set(wf.nodes.keys())
+ assert "researcher" not in node_ids
+ assert "strategist" not in node_ids
+ assert "gate_research" not in node_ids
+ assert "gate_strategy" not in node_ids
+
+
+class TestTomsweTerminal:
+ """Tests for the terminal flag on tomswe workflow."""
+
+ def test_workflow_is_terminal(self) -> None:
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_registered_workflow_is_terminal(self) -> None:
+ workflows = register_all()
+ assert workflows["tomswe"].terminal is True
+
+
+class TestTomsweTrigger:
+ """Tests for the trigger function."""
+
+ def test_trigger_matches_tomswe_mode(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "tomswe"})
+
+ def test_trigger_matches_without_factory(self) -> None:
+ """Trigger fires on mode alone, regardless of project state."""
+ wf = workflow()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.NO_REPO, {"mode": "tomswe"})
+ assert wf.trigger(ProjectState.NO_FACTORY, {"mode": "tomswe"})
+
+ def test_trigger_rejects_other_modes(self) -> None:
+ wf = workflow()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "swebench"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+
+
+class TestTomsweRegistration:
+ """Tests for registration in the global workflow registry."""
+
+ def test_registered_in_register_all(self) -> None:
+ workflows = register_all()
+ assert "tomswe" in workflows
+
+ def test_registered_workflow_valid(self) -> None:
+ workflows = register_all()
+ wf = workflows["tomswe"]
+ issues = wf.validate_graph()
+ assert issues == [], f"Registered tomswe workflow has issues: {issues}"
+
+ def test_registered_workflow_has_trigger(self) -> None:
+ workflows = register_all()
+ wf = workflows["tomswe"]
+ assert wf.trigger is not None
+
+
+class TestTomsweMeta:
+ """Tests for the module-level meta dict."""
+
+ def test_meta_has_name(self) -> None:
+ assert meta["name"] == "tomswe"
+
+ def test_meta_has_description(self) -> None:
+ assert "tomswe" in meta["description"].lower() or "ToM-SWE" in meta["description"]
diff --git a/factory/workflow/contributed/tomswe/workflow.py b/factory/workflow/contributed/tomswe/workflow.py
new file mode 100644
index 000000000..13eb81812
--- /dev/null
+++ b/factory/workflow/contributed/tomswe/workflow.py
@@ -0,0 +1,175 @@
+"""ToM-SWE benchmark workflow — preference-aware task solving under vague instructions.
+
+4-node pipeline: study → builder → gate_verify → auto_merge
+RELOOP from gate_verify back to builder (max 3 iterations) on test failure.
+
+Designed for Harbor containers where:
+- Task instruction is at /tmp/task-instruction.md (passed via --prompt)
+- Task instruction contains DELIBERATELY VAGUE requirements and a user profile
+- The agent must infer intent and follow user coding preferences
+- Harbor's verifier is the FINAL authority on pass/fail
+- Harbor checks the MAIN branch for changes
+- No .factory/ infrastructure (no eval, no experiments, no deep-QA)
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "tomswe",
+ "description": (
+ "ToM-SWE benchmark mode — preference-aware 4-node pipeline for solving "
+ "deliberately vague coding tasks with embedded user profiles. "
+ "study → builder → gate_verify → auto_merge with RELOOP on test failure."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the ToM-SWE workflow from scratch (not composed from improve)."""
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # ── Node 1: Study ──────────────────────────────────────────────
+ nodes["study"] = FnNode(
+ id="study",
+ command=(
+ "mkdir -p {project_path}/.factory/reviews && "
+ "cd {project_path} && "
+ "("
+ "echo '=== Repository Structure ===' && "
+ "find . -type f -name '*.py' | head -200 && "
+ "echo '\\n=== Test Files ===' && "
+ "find . -type f -name 'test_*.py' -o -name '*_test.py' | head -50 && "
+ "echo '\\n=== Configuration Files ===' && "
+ "ls -la setup.py setup.cfg pyproject.toml tox.ini conftest.py 2>/dev/null || true && "
+ "echo '\\n=== Task Instruction ===' && "
+ "cat /tmp/task-instruction.md 2>/dev/null || "
+ "echo 'No task instruction file found at /tmp/task-instruction.md'"
+ ") > .factory/reviews/study-output.md 2>&1"
+ ),
+ writes={".factory/reviews/study-output.md"},
+ )
+
+ # ── Node 2: Builder ────────────────────────────────────────────
+ nodes["builder"] = AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ model="opus",
+ timeout=7200,
+ max_iterations=3,
+ prompt_template=(
+ "You are solving a task for the ToM-SWE benchmark. The task instruction "
+ "contains DELIBERATELY VAGUE requirements and a user profile describing "
+ "the user's coding preferences and interaction style.\n\n"
+ "## Your Task\n\n"
+ "1. **Read the task instruction** — Read /tmp/task-instruction.md. Extract "
+ "BOTH the vague task description AND the user profile section.\n\n"
+ "2. **Infer user intent** — Determine what the user actually wants from "
+ "the vague description by analyzing context clues, surrounding code "
+ "patterns, and the user profile.\n\n"
+ "3. **Apply user preferences** — Follow the user's coding style (naming "
+ "conventions, testing approach, git workflow, documentation habits) as "
+ "described in the profile.\n\n"
+ "4. **Explore the codebase** — Read relevant source files, test files, "
+ "and configuration to understand the project structure.\n\n"
+ "5. **Implement the solution** — Make changes that align with BOTH the "
+ "inferred task requirements AND the user's preferred coding style.\n\n"
+ "6. **Run tests** — Verify the fix works and existing tests still pass. "
+ "Use pytest, tox, or whatever test runner the project uses.\n\n"
+ "7. **Commit your changes** — Commit directly on the current branch "
+ "with a message following the user's commit convention preferences "
+ "(if specified in the profile).\n\n"
+ "## Rules\n\n"
+ "- When instructions are vague, infer the most likely intent from context "
+ "— do NOT ask for clarification\n"
+ "- Follow the user's coding preferences from the profile section\n"
+ "- Prefer the user's preferred tools/libraries when multiple options exist\n"
+ "- MUST run tests before committing — never commit untested code\n"
+ "- Do NOT create branches or PRs — commit on current branch\n"
+ "- Do NOT run factory commands (factory eval, factory study, etc.)\n"
+ "- Do NOT modify test files unless the task requires it\n"
+ "- If tests fail after your fix, investigate and fix the issue\n"
+ ),
+ reads={".factory/reviews/study-output.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 3: Gate Verify ────────────────────────────────────────
+ nodes["gate_verify"] = GateNode(
+ id="gate_verify",
+ evaluator_type="fn",
+ evaluator_command=(
+ "cd {project_path} && "
+ "CHANGES=$(git diff HEAD~1 --stat 2>/dev/null || echo 'NO_COMMITS') && "
+ "if [ \"$CHANGES\" = 'NO_COMMITS' ] || [ -z \"$CHANGES\" ]; then "
+ "echo 'fail: builder did not commit any changes'; "
+ "exit 0; fi && "
+ "BUILDER_OUTPUT=$(cat .factory/reviews/builder-latest.md 2>/dev/null || echo '') && "
+ "if echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(pass|succeed|ok|PASSED)'; then "
+ "echo 'pass: builder reports tests passing'; "
+ "elif echo \"$BUILDER_OUTPUT\" | grep -qiE 'tests?.*(fail|error|FAILED)'; then "
+ "echo 'reloop: builder needs to retry — tests did not pass'; "
+ "else "
+ "echo 'pass: changes committed, no issues detected'; "
+ "fi"
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Node 4: Auto Merge ─────────────────────────────────────────
+ nodes["auto_merge"] = FnNode(
+ id="auto_merge",
+ command=(
+ "cd {project_path} && "
+ "CURRENT=$(git rev-parse --abbrev-ref HEAD) && "
+ "COMMON=$(git rev-parse --git-common-dir) && "
+ "BASE=$(git --git-dir=\"$COMMON\" rev-parse --abbrev-ref HEAD 2>/dev/null || echo main) && "
+ "if [ \"$CURRENT\" = \"$BASE\" ]; then "
+ "echo \"Already on $BASE — no merge needed\"; "
+ "exit 0; fi && "
+ "git update-ref refs/heads/\"$BASE\" HEAD && "
+ "PARENT_WT=$(cd \"$COMMON/..\" && pwd) && "
+ "git diff-tree --no-commit-id --name-only -r HEAD HEAD~1 | "
+ "while read file; do "
+ "if [ -f \"$file\" ]; then "
+ "mkdir -p \"$PARENT_WT/$(dirname $file)\" && "
+ "cp \"$file\" \"$PARENT_WT/$file\"; "
+ "fi; done && "
+ "echo \"Updated $BASE to $(git rev-parse --short HEAD)\""
+ ),
+ reads={".factory/reviews/builder-latest.md"},
+ )
+
+ # ── Edges ──────────────────────────────────────────────────────
+
+ edges = [
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate_verify"),
+ Edge(source="gate_verify", target="auto_merge", condition=VerdictType.PROCEED),
+ Edge(source="gate_verify", target="builder", condition=VerdictType.RELOOP),
+ ]
+
+ # ── Trigger ────────────────────────────────────────────────────
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "tomswe"
+
+ return Workflow(
+ name="tomswe",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ terminal=True,
+ trigger=trigger,
+ )
diff --git a/factory/workflow/deep_qa.py b/factory/workflow/deep_qa.py
new file mode 100644
index 000000000..bb237a505
--- /dev/null
+++ b/factory/workflow/deep_qa.py
@@ -0,0 +1,67 @@
+"""Deep-QA standalone verification workflow.
+
+Runs the parallel QA pipeline (health_checker, code_reviewer,
+adversarial_tester via fork/join) as a standalone mode.
+Triggered via `factory workflow run deep-qa` or `factory ceo /path --mode deep-qa`.
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.definitions import _deep_qa_subgraph
+from factory.workflow.primitives import AgentNode, Edge, FnNode, GateNode, VerdictType, Workflow
+
+meta = {
+ "name": "deep-qa",
+ "description": (
+ "Standalone deep-QA verification pipeline — 3 parallel specialist "
+ "agents (health_checker, code_reviewer, adversarial_tester) via "
+ "fork/join."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the standalone deep-qa workflow."""
+ dq_nodes, dq_edges = _deep_qa_subgraph()
+
+ for nid in ("health_checker", "code_reviewer", "adversarial_tester"):
+ node = dq_nodes[nid]
+ assert isinstance(node, AgentNode)
+ dq_nodes[nid] = node.model_copy(update={"reads": set()})
+
+ nodes: dict[str, Any] = {**dq_nodes}
+
+ nodes["gate_precheck"] = GateNode(
+ id="gate_precheck",
+ evaluator_type="fn",
+ evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
+ reads={".factory/reviews/adversarial-qa.md"},
+ )
+
+ nodes["post_review"] = FnNode(
+ id="post_review",
+ command=(
+ "factory review --verdict $VERDICT --pr $PR_NUMBER"
+ " --score-before $SCORE_BEFORE --score-after $SCORE_AFTER"
+ ),
+ reads={".factory/reviews/adversarial-qa.md"},
+ )
+
+ edges = [
+ *dq_edges,
+ Edge(source="join_qa", target="gate_precheck"),
+ Edge(source="gate_precheck", target="post_review", condition=VerdictType.PROCEED),
+ Edge(source="gate_precheck", target="post_review", condition=VerdictType.HALT),
+ ]
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "deep-qa"
+
+ return Workflow(
+ name="deep-qa",
+ nodes=nodes,
+ edges=edges,
+ start_node="fork_qa",
+ trigger=trigger,
+ )
diff --git a/factory/workflow/deep_research.py b/factory/workflow/deep_research.py
new file mode 100644
index 000000000..d69539ede
--- /dev/null
+++ b/factory/workflow/deep_research.py
@@ -0,0 +1,249 @@
+"""Deep-research iterative research workflow with decomposition.
+
+Runs study → decomposer → deep_researcher → CEO coverage gate.
+The decomposer generates research directions; the researcher executes them.
+Terminal mode — does not chain to build or improve.
+Triggered via `factory workflow run deep-research` or
+`factory ceo /path --mode deep-research`.
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ ArtifactCheck,
+ Edge,
+ GateNode,
+ Study,
+ VerdictType,
+ Workflow,
+)
+
+meta = {
+ "name": "deep-research",
+ "description": (
+ "Iterative research with decomposition, faithfulness checking, and "
+ "coverage evaluation. A decomposer generates research directions; "
+ "the researcher executes them with multiple rounds of "
+ "WebSearch/WebFetch, following an inside-out protocol."
+ ),
+}
+
+_DECOMPOSER_PROMPT = (
+ "You are the Research Decomposer. Produce 3-5 research directions tailored "
+ "to the current mode and project context.\n\n"
+ "Read:\n"
+ "- The CEO's task (contains the original prompt and mode context)\n"
+ "- .factory/strategy/observations.md (if exists — project state)\n"
+ "- .factory/config.json (if exists — project config, research_target)\n\n"
+ "Based on what you find, determine the research context:\n"
+ "- New project (no .factory/) → web-focused directions (similar, tech, pitfalls)\n"
+ "- Existing project, improve → mixed directions (internal assessment first, then "
+ "targeted external search for weak dimensions)\n"
+ "- Factory itself, create mode → code-focused directions (read existing patterns, "
+ "parse mode intent, minimal web for novel patterns only)\n"
+ "- Research target configured → failure-focused directions (within mutable surfaces)\n\n"
+ "For each direction, write:\n\n"
+ "### Direction N: [title]\n"
+ "- **What to research:** specific question, not generic\n"
+ "- **Why it matters:** how this connects to the original prompt and project\n"
+ "- **Type:** internal (code/project reading), external (web search), or mixed\n"
+ "- **Coverage signal:** how the researcher knows this direction is adequately covered\n\n"
+ "Rules:\n"
+ "- Directions must be derived from the ORIGINAL PROMPT\n"
+ "- If the project already uses pytest, don't direct 'research testing frameworks'\n"
+ "- Each direction should produce findings the strategist can act on\n"
+ "- 3-5 directions maximum\n"
+ "- Specify type (internal/external/mixed) so the researcher knows whether to "
+ "read code or search the web\n\n"
+ "Write to .factory/strategy/research-directions.md"
+)
+
+_DEEP_RESEARCHER_PROMPT = (
+ "You are the Deep Researcher — a single agent performing iterative, "
+ "coverage-checked research. You have access to WebSearch and WebFetch. "
+ "Your job is to produce a comprehensive, faithful research report by "
+ "performing multiple rounds of search internally.\n\n"
+ "## ORIGINAL PROMPT\n\n"
+ "The research topic is provided in the CEO's task. Read it carefully — "
+ "this is the anchor for ALL your research. Every finding must trace back "
+ "to this prompt.\n\n"
+ "## RESEARCH PROTOCOL — FOLLOW EXACTLY\n\n"
+ "### Phase 1: Internal Research (FIRST — before any web search)\n\n"
+ "Read internal project state to understand what already exists:\n"
+ "- Read .factory/strategy/observations.md from factory study\n"
+ "- Check .factory/archive/ for prior knowledge, past experiments, learnings\n"
+ "- Read .factory/strategy/backlog.md if it exists\n"
+ "- Understand frameworks, patterns, and constraints the project already uses\n"
+ "- If research_target is configured in .factory/config.json, read "
+ "mutable_surfaces, fixed_surfaces, and constraints\n\n"
+ "Write a summary of what you found internally. This shapes your external search.\n\n"
+ "### Phase 2: Read Research Directions\n\n"
+ "Read .factory/strategy/research-directions.md — the decomposer has already "
+ "generated 3-5 research directions for you.\n"
+ "- These are your sub-questions — follow them\n"
+ "- Note each direction's type (internal/external/mixed)\n"
+ "- You may add follow-up sub-questions in later iterations based on gaps, "
+ "but initial directions come from the decomposer\n\n"
+ "### Phase 3: External Search\n\n"
+ "For each direction marked external or mixed:\n"
+ "- Run 3-5 WebSearch queries with varied phrasing\n"
+ "- WebFetch the 2-3 most promising pages from the results\n"
+ "- Extract concrete findings: techniques, patterns, code examples, pitfalls\n"
+ "- Note the source URL for every finding\n"
+ "For internal directions: read the specified code/files instead of searching.\n"
+ "Don't search for things the project already has.\n\n"
+ "### Phase 4: Synthesize Running Report\n\n"
+ "Merge external findings with internal state into a structured report:\n"
+ "- Organize by topic, not by search query or direction number\n"
+ "- Connect each external finding to something concrete in the codebase\n"
+ "- Generic advice without project grounding is noise — cut it\n\n"
+ "### Phase 5: Faithfulness Check (MANDATORY — every iteration)\n\n"
+ "After each search round, answer these three questions honestly:\n\n"
+ "1. **Relevance:** 'Does this finding help answer the ORIGINAL PROMPT, "
+ "or did I follow an interesting tangent?' — if tangent, discard and refocus\n\n"
+ "2. **Grounding:** 'Is this finding connected to something concrete in the "
+ "codebase, or is it generic advice?' — generic advice without project "
+ "grounding is noise\n\n"
+ "3. **Drift detection:** 'Are my follow-up sub-questions derived from the "
+ "ORIGINAL PROMPT, or derived from previous search results?' — if next "
+ "sub-question wouldn't make sense without reading previous results, "
+ "you're drifting\n\n"
+ "**Hard rule:** If 2 of last 3 search rounds fail the relevance check, "
+ "STOP that direction. Return to Phase 2 and pick the next direction.\n\n"
+ "### Phase 6: Coverage Check\n\n"
+ "After completing a search round, evaluate:\n"
+ "- Check each direction from research-directions.md: adequately covered?\n"
+ "- If gaps remain → go back to Phase 3 with targeted sub-questions for "
+ "the gaps\n"
+ "- If coverage is sufficient → proceed to Phase 7\n"
+ "- If two consecutive rounds produce no new findings → finalize (diminishing returns)\n"
+ "- If you've used ~25 WebSearch calls total → finalize (search budget exhausted)\n\n"
+ "### Phase 7: Final Report Check\n\n"
+ "Before writing the final output:\n"
+ "1. Re-read the original prompt verbatim\n"
+ "2. For each section in your report, write one sentence explaining how it "
+ "answers the original prompt — if you can't write that sentence, cut "
+ "the section\n"
+ "3. Verify every claim cites a source: URL (external) or file path (internal) "
+ "— unsourced claims are low-confidence, mark them as such\n\n"
+ "## OUTPUT\n\n"
+ "Write the complete research report to .factory/strategy/research-combined.md\n\n"
+ "Structure:\n"
+ "- **Research Topic:** (restate the original prompt)\n"
+ "- **Internal Context:** (summary of project state relevant to the topic)\n"
+ "- **Findings by Topic:** (organized sections, each with citations)\n"
+ "- **Gaps & Limitations:** (what you couldn't find or didn't cover)\n"
+ "- **Recommendations:** (actionable next steps grounded in findings)\n\n"
+ "## RELOOP HANDLING\n\n"
+ "If .factory/strategy/research-combined.md already exists (from a prior "
+ "iteration due to CEO gate RELOOP), read it as your starting report. "
+ "Read .factory/reviews/ceo-verdict-coverage.md for the CEO's gap analysis. "
+ "Focus on filling the specific gaps identified — do NOT restart from scratch."
+)
+
+_GATE_COVERAGE_PROMPT = (
+ "Check the deep research report against the research directions.\n\n"
+ "Read .factory/strategy/research-directions.md (what was asked for) and "
+ ".factory/strategy/research-combined.md (what was produced).\n\n"
+ "For each direction the decomposer specified:\n"
+ "1. Is it covered in the research report?\n"
+ "2. Is the coverage adequate (actually researched, not just mentioned)?\n"
+ "3. Did the researcher stay within the direction's scope?\n\n"
+ "Also check:\n"
+ "4. Does the report trace back to the original prompt?\n"
+ "5. Are findings grounded (connected to codebase, not generic advice)?\n"
+ "6. Are claims cited with URLs or file paths?\n\n"
+ "PROCEED if all directions are covered.\n"
+ "RELOOP listing which directions are missing or inadequately covered."
+)
+
+
+def workflow() -> Workflow:
+ """W₁₅: Deep Research Mode — decompose-then-research with coverage checking.
+
+ Study → decomposer (generates research directions) →
+ deep_researcher (executes directions with internal iteration) →
+ gate_coverage (CEO safety net checking per-direction coverage).
+
+ The decomposer produces 3-5 research directions. The researcher executes
+ them using WebSearch/WebFetch with built-in faithfulness checking. The gate
+ checks coverage against the original directions.
+
+ Terminal mode — does not chain to build or improve.
+ """
+ nodes: dict[str, Any] = {}
+
+ nodes["study"] = Study(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/strategy/observations.md"},
+ )
+
+ nodes["decomposer"] = AgentNode(
+ id="decomposer",
+ role=AgentRole.RESEARCHER,
+ prompt_template=_DECOMPOSER_PROMPT,
+ reads={".factory/strategy/observations.md"},
+ writes={".factory/strategy/research-directions.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/strategy/research-directions.md",
+ must_exist=True,
+ min_size=200,
+ )
+ ],
+ model="sonnet",
+ timeout=120,
+ )
+
+ nodes["deep_researcher"] = AgentNode(
+ id="deep_researcher",
+ role=AgentRole.RESEARCHER,
+ prompt_template=_DEEP_RESEARCHER_PROMPT,
+ reads={
+ ".factory/strategy/observations.md",
+ ".factory/strategy/research-directions.md",
+ },
+ writes={".factory/strategy/research-combined.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/strategy/research-combined.md",
+ must_exist=True,
+ min_size=500,
+ )
+ ],
+ timeout=1800,
+ )
+
+ nodes["gate_coverage"] = GateNode(
+ id="gate_coverage",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ gate_prompt=_GATE_COVERAGE_PROMPT,
+ reads={
+ ".factory/strategy/research-directions.md",
+ ".factory/strategy/research-combined.md",
+ },
+ )
+
+ edges = [
+ Edge(source="study", target="decomposer"),
+ Edge(source="decomposer", target="deep_researcher"),
+ Edge(source="deep_researcher", target="gate_coverage"),
+ Edge(source="gate_coverage", target="deep_researcher", condition=VerdictType.RELOOP),
+ ]
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return state == ProjectState.HAS_FACTORY and ctx.get("mode") == "deep-research"
+
+ return Workflow(
+ name="deep-research",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ trigger=trigger,
+ terminal=True,
+ )
diff --git a/factory/workflow/definitions.py b/factory/workflow/definitions.py
index 0103675a8..9dd91532d 100644
--- a/factory/workflow/definitions.py
+++ b/factory/workflow/definitions.py
@@ -1,24 +1,21 @@
-"""All 9 workflow definitions as Python functions returning Workflow objects.
+"""Workflow definitions as Python functions returning Workflow objects.
W₁: Build Mode
W₂: Design Mode (= W₁ with user gate at strategy approval)
-W₃: Improve Mode
-W₄: Research Mode (= W₃ with baseline+failure_analyst, QA with surface checks, plateau gate)
-W₅: Meta Mode
-W₆: Discover Mode
-W₇: Review Mode
-W₈: Refine Mode
W₉: Create Mode (meta-mode for creating new factory modes)
+W₁₃: Spec Generate Mode
"""
from __future__ import annotations
+from dataclasses import dataclass
from typing import Any
from factory.models import ProjectState
from factory.workflow.primitives import (
AgentNode,
AgentRole,
+ ArtifactCheck,
Edge,
FnNode,
ForkNode,
@@ -31,119 +28,383 @@
# Re-export for test convenience
__all__ = [
+ "DOC_FRESHNESS_GATE_PROMPT",
+ "_GRAPH_EXPLORER_PROMPT",
+ "_graph_explorer_prompt",
+ "ResearcherConfig",
+ "_deep_qa_subgraph",
+ "_get_builtin_registry",
+ "_research_subgraph",
+ "_study_subgraph",
"build_workflow",
- "design_workflow",
- "improve_workflow",
- "research_workflow",
- "meta_workflow",
- "discover_workflow",
- "review_workflow",
- "refine_workflow",
"create_workflow",
+ "design_workflow",
"register_all",
+ "spec_generate_workflow",
]
+DOC_FRESHNESS_GATE_PROMPT = (
+ "Check the PR diff for documentation freshness. "
+ "If public APIs, CLI commands, configuration options, "
+ "or architecture were changed or added, corresponding documentation "
+ "(README.md, CLAUDE.md, docstrings, --help text, or doc/ files) "
+ "MUST be updated. PROCEED if docs are current or no doc-worthy changes "
+ "exist. RELOOP to builder if documentation is stale — specify exactly "
+ "which changes need doc updates."
+)
-# ── W₁: Build Mode ──────────────────────────────────────────────
+# ── Study subgraph helper ───────────────────────────────────────
+
+
+_GRAPH_EXPLORER_PROMPT = (
+ "Explore the project's code knowledge graph to build structural understanding. "
+ "Read .factory/strategy/observations.md for focus context.\n\n"
+ "**Step 0 — detect graph availability:** Your working directory is already "
+ "the project root. The graph file lives at `{project_path}/graph.json` "
+ "(NOT inside `.factory/`). "
+ "Run this smoke check FIRST — use a relative path since your CWD is the "
+ "project root: "
+ "`test -f graph.json && echo 'GRAPH AVAILABLE' || echo 'NO GRAPH'` — "
+ "if the output says GRAPH AVAILABLE, proceed with the graph commands below. "
+ "If the output says NO GRAPH, skip to the fallback section.\n\n"
+ "**If the graph IS available:**\n"
+ '1. Run `factory graph query "{project_path}" "<focus from observations>" --depth 2` '
+ "to find relevant nodes\n"
+ '2. Run `factory graph explain "{project_path}" "<key node>"` on the most important '
+ "nodes to understand their connections and dependencies\n"
+ '3. Run `factory graph path "{project_path}" "<A>" "<B>"` to trace dependency paths '
+ "between key components\n"
+ "4. Write structured findings to .factory/strategy/graph-context.md covering: "
+ "key modules and their relationships, dependency paths, architectural layers, "
+ "entry points and hotspots\n\n"
+ "**If the graph is NOT available**, fall back to direct file exploration:\n"
+ "1. Use `find . -name '*.py' | head -50` to discover source files\n"
+ "2. Use `grep -rn 'class \\|def ' --include='*.py' | head -100` to map functions and classes\n"
+ "3. Use `grep -rn 'import ' --include='*.py' | head -100` to trace dependencies\n"
+ "4. Write the same structured findings to .factory/strategy/graph-context.md"
+)
-def build_workflow() -> Workflow:
- """W₁: Build Mode — new project from idea/spec.
- Fork(3 researchers) → Join → CEO gate → Strategist → CEO gate →
- Archivist(async) → Builder → CEO gate → QA → gate_qa(max 3) →
- Precheck gate → Archivist(async)
+def _graph_explorer_prompt(focus: str | None = None) -> str:
+ """Return the graph_explorer prompt, optionally scoped to *focus*."""
+ if not focus:
+ return _GRAPH_EXPLORER_PROMPT
+ return (
+ f"Focus your exploration on: {focus}\n\n"
+ "Explore the project's code knowledge graph targeting the area above. "
+ "Read .factory/strategy/observations.md for additional context.\n\n"
+ "If graphify is installed and graph.json exists:\n"
+ f'1. Run `factory graph query "{focus}" --depth 2` to find relevant nodes\n'
+ '2. Run `factory graph explain "<key node>"` on the most important nodes to understand '
+ "their connections and dependencies\n"
+ '3. Run `factory graph path "<A>" "<B>"` to trace dependency paths between key components\n'
+ "4. Write structured findings to .factory/strategy/graph-context.md covering: "
+ "key modules and their relationships, dependency paths, architectural layers, "
+ "entry points and hotspots\n\n"
+ "If graphify is NOT installed or graph.json is missing, fall back to direct file exploration:\n"
+ "1. Use `find . -name '*.py' | head -50` to discover source files\n"
+ "2. Use `grep -rn 'class \\|def ' --include='*.py' | head -100` to map functions and classes\n"
+ "3. Use `grep -rn 'import ' --include='*.py' | head -100` to trace dependencies\n"
+ "4. Write the same structured findings to .factory/strategy/graph-context.md"
+ )
+
+
+def _study_subgraph(
+ *,
+ focus: str | None = None,
+) -> tuple[dict[str, Any], list[Edge]]:
+ """Return (nodes, internal_edges) for the graph-powered study chain.
+
+ Four nodes run sequentially:
+
+ graph_update → study → graph_explorer → concat_study
+
+ The caller wires the entry edge (→ graph_update) and exit edge
+ (concat_study →) into the surrounding workflow.
"""
nodes: dict[str, Any] = {}
- edges: list[Edge] = []
- # Fork: 3 parallel researchers
- nodes["fork_research"] = ForkNode(
- id="fork_research",
- targets=["researcher_similar", "researcher_techstack", "researcher_pitfalls"],
+ nodes["graph_update"] = FnNode(
+ id="graph_update",
+ command="factory graph update {project_path}",
+ notes="Extract or incrementally update the code knowledge graph before study.",
+ writes={"graph.json"},
)
- nodes["researcher_similar"] = AgentNode(
- id="researcher_similar",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Similar projects research. "
- "Search the web for similar projects, existing solutions, and prior art. "
- "Analyze their strengths, weaknesses, and market positioning. "
- "Check .factory/archive/ for prior knowledge on similar builds. "
- "Write findings to .factory/strategy/research-similar.md covering: "
- "similar projects found (with links), what they do well and what's missing, "
- "differentiation opportunities."
- ),
- writes={".factory/strategy/research-similar.md"},
+ nodes["study"] = Study(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/strategy/observations.md"},
+ focus=focus,
)
- nodes["researcher_techstack"] = AgentNode(
- id="researcher_techstack",
+
+ nodes["graph_explorer"] = AgentNode(
+ id="graph_explorer",
role=AgentRole.RESEARCHER,
- prompt_template=(
- "Tech stack research. "
- "Identify the best technology stack for this type of project. "
- "Find architecture patterns and best practices. "
- "Evaluate framework/library options with trade-offs. "
- "Write findings to .factory/strategy/research-techstack.md covering: "
- "recommended tech stack with rationale, architecture patterns, "
- "framework comparisons."
- ),
- writes={".factory/strategy/research-techstack.md"},
+ prompt_template=_graph_explorer_prompt(focus),
+ reads={".factory/strategy/observations.md"},
+ writes={".factory/strategy/graph-context.md"},
)
- nodes["researcher_pitfalls"] = AgentNode(
- id="researcher_pitfalls",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Pitfalls and scope research. "
- "Identify potential pitfalls and common mistakes for this type of project. "
- "Research MVP scope best practices. "
- "Check .factory/archive/ for lessons from past builds. "
- "Write findings to .factory/strategy/research-pitfalls.md covering: "
- "potential pitfalls to avoid, MVP scope recommendation, "
- "lessons from similar past builds."
+
+ nodes["concat_study"] = FnNode(
+ id="concat_study",
+ command=(
+ "cat {project_path}/.factory/strategy/observations.md"
+ " {project_path}/.factory/strategy/graph-context.md"
+ " > {project_path}/.factory/strategy/study-combined.md"
),
- writes={".factory/strategy/research-pitfalls.md"},
+ reads={".factory/strategy/observations.md", ".factory/strategy/graph-context.md"},
+ writes={".factory/strategy/study-combined.md"},
)
- # Join
- nodes["join_research"] = JoinNode(
- id="join_research",
- sources=["researcher_similar", "researcher_techstack", "researcher_pitfalls"],
+ internal_edges = [
+ Edge(source="graph_update", target="study"),
+ Edge(source="study", target="graph_explorer"),
+ Edge(source="graph_explorer", target="concat_study"),
+ ]
+
+ return nodes, internal_edges
+
+
+# ── Deep-QA subgraph helper ─────────────────────────────────────
+
+
+def _deep_qa_subgraph(
+ *,
+ code_reviewer_extra: str = "",
+ adversarial_extra: str = "",
+) -> tuple[dict[str, Any], list[Edge]]:
+ """Return (nodes, internal_edges) for the parallel deep-qa verification subgraph.
+
+ Three specialist agents run in parallel via fork/join:
+
+ fork_qa → [health_checker, code_reviewer, adversarial_tester] → join_qa
+
+ Agent prompts live in their role .md files; prompt_template is only set
+ when a workflow passes extra context via code_reviewer_extra / adversarial_extra.
+ The caller wires the entry edge (→ fork_qa) and the exit edge
+ (join_qa →) into the surrounding workflow.
+ """
+ nodes: dict[str, Any] = {}
+
+ nodes["health_checker"] = AgentNode(
+ id="health_checker",
+ role=AgentRole.HEALTH_CHECKER,
+ reads={".factory/reviews/builder-latest.md", ".factory/strategy/current.md"},
+ writes={".factory/reviews/health-check.md"},
+ )
+
+ nodes["code_reviewer"] = AgentNode(
+ id="code_reviewer",
+ role=AgentRole.CODE_REVIEWER,
+ prompt_template=code_reviewer_extra,
+ reads={".factory/reviews/builder-latest.md", ".factory/strategy/current.md"},
+ writes={".factory/reviews/code-review.md"},
+ )
+
+ nodes["adversarial_tester"] = AgentNode(
+ id="adversarial_tester",
+ role=AgentRole.ADVERSARIAL_TESTER,
+ timeout=1800,
+ prompt_template=adversarial_extra,
+ reads={".factory/reviews/builder-latest.md", ".factory/strategy/current.md"},
+ writes={".factory/reviews/adversarial-qa.md"},
+ )
+
+ nodes["fork_qa"] = ForkNode(
+ id="fork_qa",
+ targets=["health_checker", "code_reviewer", "adversarial_tester"],
+ )
+
+ nodes["join_qa"] = JoinNode(
+ id="join_qa",
+ sources=["health_checker", "code_reviewer", "adversarial_tester"],
reads={
- ".factory/strategy/research-similar.md",
- ".factory/strategy/research-techstack.md",
- ".factory/strategy/research-pitfalls.md",
+ ".factory/reviews/health-check.md",
+ ".factory/reviews/code-review.md",
+ ".factory/reviews/adversarial-qa.md",
},
- writes={".factory/strategy/research-combined.md"},
)
- # CEO gate on research quality
+ internal_edges = [
+ Edge(source="fork_qa", target="join_qa"),
+ ]
+
+ return nodes, internal_edges
+
+
+# ── Research subgraph helper ───────────────────────────────────
+
+
+@dataclass(frozen=True)
+class ResearcherConfig:
+ """Configuration for a single researcher in a parallel research fork."""
+
+ id: str
+ prompt_template: str
+ post_check_min_size: int | None = None
+
+
+def _research_subgraph(
+ *,
+ researchers: list[ResearcherConfig],
+ gate_prompt: str,
+) -> tuple[dict[str, Any], list[Edge]]:
+ """Return (nodes, internal_edges) for the fork/join research subgraph.
+
+ Three parallel researcher agents run behind a fork, converge at a join,
+ and pass through a CEO gate:
+
+ fork_research → researcher_{id}... → join_research → gate_research
+
+ The caller wires the exit edges (gate_research → next PROCEED,
+ gate_research → fork_research RELOOP) into the surrounding workflow.
+ """
+ researcher_ids = [f"researcher_{r.id}" for r in researchers]
+ nodes: dict[str, Any] = {}
+
+ nodes["fork_research"] = ForkNode(
+ id="fork_research",
+ targets=researcher_ids,
+ )
+
+ for r in researchers:
+ rid = f"researcher_{r.id}"
+ write_path = f".factory/strategy/research-{r.id}.md"
+ kwargs: dict[str, Any] = {
+ "id": rid,
+ "role": AgentRole.RESEARCHER,
+ "prompt_template": r.prompt_template,
+ "writes": {write_path},
+ }
+ if r.post_check_min_size is not None:
+ kwargs["post_checks"] = [
+ ArtifactCheck(path=write_path, must_exist=True, min_size=r.post_check_min_size)
+ ]
+ nodes[rid] = AgentNode(**kwargs)
+
+ nodes["join_research"] = JoinNode(
+ id="join_research",
+ sources=researcher_ids,
+ )
+
nodes["gate_research"] = GateNode(
id="gate_research",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
+ gate_prompt=gate_prompt,
+ reads={f".factory/strategy/research-{r.id}.md" for r in researchers},
+ )
+
+ internal_edges = [
+ *[Edge(source="fork_research", target=rid) for rid in researcher_ids],
+ *[Edge(source=rid, target="join_research") for rid in researcher_ids],
+ Edge(source="join_research", target="gate_research"),
+ ]
+
+ return nodes, internal_edges
+
+
+# ── W₁: Build Mode ──────────────────────────────────────────────
+
+
+def build_workflow() -> Workflow:
+ """W₁: Build Mode — new project from idea/spec.
+
+ Fork(3 researchers) → Join → CEO gate → Strategist → CEO gate →
+ Archivist(async) → Builder → CEO gate → deep-QA → gate_qa(max 3) →
+ Precheck gate → Archivist(async)
+ """
+ nodes: dict[str, Any] = {}
+ edges: list[Edge] = []
+
+ # Research subgraph: fork → 3 researchers → join → CEO gate
+ _BUILD_RESEARCHERS = [
+ ResearcherConfig(
+ id="similar",
+ prompt_template=(
+ "Similar projects research. "
+ "Read .factory/strategy/study-combined.md for project context "
+ "(observations + structural graph analysis). "
+ "Search the web for similar projects, existing solutions, and prior art. "
+ "Analyze their strengths, weaknesses, and market positioning. "
+ "Check .factory/archive/ for prior knowledge on similar builds. "
+ "Write findings to .factory/strategy/research-similar.md covering: "
+ "similar projects found (with links), what they do well and what's missing, "
+ "differentiation opportunities."
+ ),
+ post_check_min_size=50,
+ ),
+ ResearcherConfig(
+ id="techstack",
+ prompt_template=(
+ "Tech stack research. "
+ "Read .factory/strategy/study-combined.md for project context "
+ "(observations + structural graph analysis). "
+ "Identify the best technology stack for this type of project. "
+ "Find architecture patterns and best practices. "
+ "Evaluate framework/library options with trade-offs. "
+ "Write findings to .factory/strategy/research-techstack.md covering: "
+ "recommended tech stack with rationale, architecture patterns, "
+ "framework comparisons."
+ ),
+ post_check_min_size=50,
+ ),
+ ResearcherConfig(
+ id="pitfalls",
+ prompt_template=(
+ "Pitfalls and scope research. "
+ "Read .factory/strategy/study-combined.md for project context "
+ "(observations + structural graph analysis). "
+ "Identify potential pitfalls and common mistakes for this type of project. "
+ "Research MVP scope best practices. "
+ "Check .factory/archive/ for lessons from past builds. "
+ "Write findings to .factory/strategy/research-pitfalls.md covering: "
+ "potential pitfalls to avoid, MVP scope recommendation, "
+ "lessons from similar past builds."
+ ),
+ post_check_min_size=50,
+ ),
+ ]
+ r_nodes, r_edges = _research_subgraph(
+ researchers=_BUILD_RESEARCHERS,
gate_prompt=(
"Is the research relevant? Does it cover the technology landscape adequately? "
"Check for gaps in similar projects, tech stack analysis, and pitfall coverage."
),
- reads={".factory/strategy/research-combined.md"},
)
+ nodes.update(r_nodes)
# Strategist
nodes["strategist"] = AgentNode(
id="strategist",
role=AgentRole.STRATEGIST,
prompt_template=(
- "Synthesize a project specification from research. "
- "Read ALL tagged research files at .factory/strategy/research-*.md. "
+ "Synthesize a project specification from study and research. "
+ "If .factory/strategy/study-combined.md exists, read it for project observations "
+ "and structural graph analysis. "
+ "Read ALL research files at .factory/strategy/research-similar.md, "
+ "research-techstack.md, and research-pitfalls.md. "
"Produce a complete phased build plan. Phase 1 must be project scaffold + eval harness. "
"Every Phase must have substantive What/Why/Expected impact fields. "
"Build EVERYTHING in this pass. Only defer items requiring human intervention. "
"Write the plan to .factory/strategy/current.md."
),
- reads={".factory/strategy/research-combined.md"},
+ reads={
+ ".factory/strategy/research-similar.md",
+ ".factory/strategy/research-techstack.md",
+ ".factory/strategy/research-pitfalls.md",
+ },
writes={".factory/strategy/current.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/strategy/current.md",
+ must_exist=True,
+ min_size=200,
+ must_contain=["### Phase 1", "### Architecture"],
+ )
+ ],
)
# CEO gate on strategy quality — HARD GATE
@@ -173,7 +434,7 @@ def build_workflow() -> Workflow:
blocking=False,
)
- # Per-phase: Builder → CEO gate → QA → gate_qa(max 3) → Precheck → Archivist(async)
+ # Per-phase: Builder → CEO gate → deep-QA → gate_qa(max 3) → Precheck → Archivist(async)
nodes["builder"] = AgentNode(
id="builder",
role=AgentRole.BUILDER,
@@ -186,6 +447,14 @@ def build_workflow() -> Workflow:
),
reads={".factory/strategy/current.md"},
writes={".factory/reviews/builder-latest.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/reviews/builder-latest.md",
+ must_exist=True,
+ min_size=500,
+ must_contain=["commit"],
+ )
+ ],
)
nodes["gate_build"] = GateNode(
@@ -201,17 +470,9 @@ def build_workflow() -> Workflow:
reads={".factory/reviews/builder-latest.md"},
)
- nodes["qa"] = AgentNode(
- id="qa",
- role=AgentRole.QA,
- prompt_template=(
- "Run health check (factory eval + score delta), code review "
- "(correctness, architecture, edge cases, security), and adversarial QA "
- "(run/test the built feature). Write results to .factory/reviews/qa-latest.md"
- ),
- reads={".factory/reviews/builder-latest.md"},
- writes={".factory/reviews/qa-latest.md"},
- )
+ # Deep-QA subgraph replaces monolithic QA
+ dq_nodes, dq_edges = _deep_qa_subgraph()
+ nodes.update(dq_nodes)
nodes["gate_qa"] = GateNode(
id="gate_qa",
@@ -221,37 +482,48 @@ def build_workflow() -> Workflow:
"Review QA results. PROCEED if all checks pass. "
"RELOOP to builder (max 3 iterations) if issues found."
),
- reads={".factory/reviews/qa-latest.md"},
+ reads={
+ ".factory/reviews/health-check.md",
+ ".factory/reviews/code-review.md",
+ ".factory/reviews/adversarial-qa.md",
+ },
+ )
+
+ nodes["gate_doc_freshness"] = GateNode(
+ id="gate_doc_freshness",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ gate_prompt=DOC_FRESHNESS_GATE_PROMPT,
+ reads={".factory/reviews/adversarial-qa.md"},
)
nodes["gate_precheck"] = GateNode(
id="gate_precheck",
evaluator_type="fn",
evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
- reads={".factory/reviews/qa-latest.md"},
+ reads={".factory/reviews/adversarial-qa.md"},
)
nodes["archivist_build"] = AgentNode(
id="archivist_build",
role=AgentRole.ARCHIVIST,
prompt_template="Archive the build phase results.",
- reads={".factory/reviews/qa-latest.md"},
+ reads={".factory/reviews/adversarial-qa.md"},
writes={".factory/archive/build.md"},
blocking=False,
)
+ nodes["spec_generate"] = FnNode(
+ id="spec_generate",
+ command="factory workflow run spec-generate {project_path}",
+ notes="Generate the project specification via the gated spec-generate workflow. Runs non-blocking after archival.",
+ blocking=False,
+ )
+
# Edges
edges = [
- # Fork to researchers
- Edge(source="fork_research", target="researcher_similar"),
- Edge(source="fork_research", target="researcher_techstack"),
- Edge(source="fork_research", target="researcher_pitfalls"),
- # Researchers to join
- Edge(source="researcher_similar", target="join_research"),
- Edge(source="researcher_techstack", target="join_research"),
- Edge(source="researcher_pitfalls", target="join_research"),
- # Join → research gate
- Edge(source="join_research", target="gate_research"),
+ # Research subgraph internal edges
+ *r_edges,
# Research gate → strategist (proceed) or back to researchers (reloop)
Edge(source="gate_research", target="strategist", condition=VerdictType.PROCEED),
Edge(source="gate_research", target="fork_research", condition=VerdictType.RELOOP),
@@ -264,16 +536,24 @@ def build_workflow() -> Workflow:
Edge(source="archivist_plan", target="builder"),
# Builder → build gate
Edge(source="builder", target="gate_build"),
- # Build gate → QA (proceed) or builder (reloop)
- Edge(source="gate_build", target="qa", condition=VerdictType.PROCEED),
+ # Build gate → deep-qa (proceed) or builder (reloop)
+ Edge(source="gate_build", target="fork_qa", condition=VerdictType.PROCEED),
Edge(source="gate_build", target="builder", condition=VerdictType.RELOOP),
- # QA → gate_qa
- Edge(source="qa", target="gate_qa"),
- # gate_qa → precheck (proceed) or builder (reloop, max 3)
- Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED),
+ # Deep-QA internal edges
+ *dq_edges,
+ # adversarial_tester → gate_qa
+ Edge(source="join_qa", target="gate_qa"),
+ # gate_qa → doc freshness (proceed) or builder (reloop, max 3)
+ Edge(source="gate_qa", target="gate_doc_freshness", condition=VerdictType.PROCEED),
Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
- # Precheck → archivist (proceed) or halt
+ # Doc freshness → precheck (proceed) or builder (reloop)
+ Edge(source="gate_doc_freshness", target="gate_precheck", condition=VerdictType.PROCEED),
+ Edge(source="gate_doc_freshness", target="builder", condition=VerdictType.RELOOP),
+ # Precheck → archivist (proceed) or halt → archivist (error handling)
Edge(source="gate_precheck", target="archivist_build", condition=VerdictType.PROCEED),
+ Edge(source="gate_precheck", target="archivist_build", condition=VerdictType.HALT),
+ # Archivist → spec generate (non-blocking)
+ Edge(source="archivist_build", target="spec_generate"),
]
def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
@@ -291,13 +571,102 @@ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
# ── W₂: Design Mode ─────────────────────────────────────────────
-def design_workflow() -> Workflow:
+def design_workflow(just_plan: bool = False) -> Workflow:
"""W₂: Design Mode — W₁ with user gate at strategy approval.
- W₂ = W₁[gate_strategy ← GateNode(user)]
+ W₂ = W₁[gate_strategy ← GateNode(user), +gate_has_factory, +study]
+
+ Existing projects (HAS_FACTORY) route through study before research.
+ New/partial projects route through discover → study → fork_research.
+
+ When just_plan=True, the workflow is truncated after strategy approval:
+ prior plan check → research → strategy → user gate → publish → seed backlog.
+ No builder, QA, or archivist nodes. Terminal mode.
"""
wf = build_workflow()
+ # Conditional entry: existing projects get study, new projects skip it
+ wf.nodes["gate_has_factory"] = GateNode(
+ id="gate_has_factory",
+ evaluator_type="fn",
+ evaluator_command=(
+ 'python3 -c "'
+ "from pathlib import Path; "
+ 'exists = Path("{project_path}/.factory/config.json").exists(); '
+ 'print("PROCEED" if exists else "HALT")'
+ '"'
+ ),
+ )
+
+ wf.nodes["discover"] = FnNode(
+ id="discover",
+ command="factory discover {project_path}",
+ writes={".factory/eval_profile.json"},
+ )
+
+ # Study subgraph: graph_update → study
+ s_nodes, s_edges = _study_subgraph()
+ wf.nodes.update(s_nodes)
+
+ # Researchers and strategist read study-combined.md produced by study
+ for nid in ("researcher_similar", "researcher_techstack", "researcher_pitfalls", "strategist"):
+ node = wf.nodes[nid]
+ wf.nodes[nid] = node.model_copy(
+ update={"reads": (node.reads or set()) | {".factory/strategy/study-combined.md"}},
+ )
+
+ # Bootstrap nodes: create factory.md + config.json when missing
+ wf.nodes["gate_factory_md_exists"] = GateNode(
+ id="gate_factory_md_exists",
+ evaluator_type="fn",
+ evaluator_command=(
+ 'python3 -c "'
+ "from pathlib import Path; "
+ 'exists = Path("{project_path}/factory.md").exists(); '
+ 'print("PROCEED" if exists else "HALT")'
+ '"'
+ ),
+ )
+
+ wf.nodes["create_factory_md"] = AgentNode(
+ id="create_factory_md",
+ role=AgentRole.CEO,
+ prompt_template=(
+ "Create factory.md from template. "
+ "Copy the factory config template to the project root. "
+ "Fill in: Goal, Scope, Guards, Eval command, Threshold, and Smoke Test. "
+ "If .factory/eval_spec.json exists, populate the Eval Spec section. "
+ "If .factory/strategy/current.md has a Research Configuration section, "
+ "populate research sections (Research Target, Mutable/Fixed Surfaces, etc.)."
+ ),
+ reads={".factory/eval_profile.json"},
+ writes={"factory.md"},
+ )
+
+ wf.nodes["factory_init"] = FnNode(
+ id="factory_init",
+ command="factory init {project_path}",
+ notes="Parse factory.md and generate .factory/config.json. Must run after factory.md is created.",
+ reads={"factory.md"},
+ writes={".factory/config.json"},
+ )
+
+ wf.edges.extend(
+ [
+ *s_edges,
+ Edge(source="gate_has_factory", target="graph_update", condition=VerdictType.PROCEED),
+ Edge(source="gate_has_factory", target="discover", condition=VerdictType.HALT),
+ Edge(source="discover", target="gate_factory_md_exists"),
+ Edge(source="gate_factory_md_exists", target="factory_init", condition=VerdictType.PROCEED),
+ Edge(source="gate_factory_md_exists", target="create_factory_md", condition=VerdictType.HALT),
+ Edge(source="create_factory_md", target="factory_init"),
+ Edge(source="factory_init", target="graph_update"),
+ Edge(source="concat_study", target="fork_research"),
+ ]
+ )
+
+ wf.start_node = "gate_has_factory"
+
wf.nodes["gate_strategy"] = GateNode(
id="gate_strategy",
evaluator_type="user",
@@ -306,1182 +675,724 @@ def design_workflow() -> Workflow:
wf.name = "design"
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return (
- state in {ProjectState.NO_REPO, ProjectState.REPO_INCOMPLETE}
- and ctx.get("interactive", False)
+ if just_plan:
+ # ── Prior plan detection (prepend before fork_research) ──
+
+ wf.nodes["check_prior_plans"] = GateNode(
+ id="check_prior_plans",
+ evaluator_type="fn",
+ evaluator_command=(
+ ': > "{project_path}/.factory/strategy/prior-plans.md"; '
+ 'if [ -n "$FOCUS" ]; then '
+ " if gh auth status >/dev/null 2>&1 && git remote -v 2>/dev/null | grep -q .; then "
+ ' gh issue list --label plan --search "$FOCUS" --json number,title,url '
+ ' --jq ".[] | \\"#\\(.number) \\(.title) — \\(.url)\\"" '
+ ' > "{project_path}/.factory/strategy/prior-plans.md" 2>/dev/null || true; '
+ " fi; "
+ ' if [ ! -s "{project_path}/.factory/strategy/prior-plans.md" ]; then '
+ ' grep -Frl "$FOCUS" "{project_path}/.factory/archive/" --include="plan-*.md" '
+ ' >> "{project_path}/.factory/strategy/prior-plans.md" 2>/dev/null || true; '
+ " fi; "
+ "fi; "
+ '[ -s "{project_path}/.factory/strategy/prior-plans.md" ]'
+ ),
+ gate_prompt=(
+ "Check GitHub issues with plan label and .factory/archive/ for prior plans "
+ "matching the focus keywords. Write matching results to .factory/strategy/prior-plans.md "
+ "(GitHub issue URLs or local file paths). "
+ "PROCEED if matches exist (file is non-empty), HALT if no matches (skip to fresh research)."
+ ),
+ writes={".factory/strategy/prior-plans.md"},
+ )
+
+ wf.nodes["gate_prior_plans"] = GateNode(
+ id="gate_prior_plans",
+ evaluator_type="user",
+ gate_prompt=(
+ "Prior plan(s) found matching this topic. "
+ "Present the matching plans from .factory/strategy/prior-plans.md to the user. "
+ "If one match: ask 'Found a prior plan on this topic. Continue this plan or start fresh?' "
+ "If multiple matches: list them and let user pick which to continue, or start fresh. "
+ "The selected prior plan (if any) will be passed as context to researchers and strategist."
+ ),
+ reads={".factory/strategy/prior-plans.md"},
+ )
+
+ # ── Plan publishing nodes (after gate_strategy) ──
+
+ wf.nodes["publish_github"] = FnNode(
+ id="publish_github",
+ command=(
+ "bash -c '"
+ "set -e; "
+ 'echo "none" > "{project_path}/.factory/strategy/github-issue-ref.txt"; '
+ "if ! gh auth status >/dev/null 2>&1; then "
+ ' echo "SKIP: gh not authenticated — plan saved locally only"; exit 0; '
+ "fi; "
+ "if ! git rev-parse --is-inside-work-tree >/dev/null 2>&1; then "
+ ' echo "SKIP: not inside a git repository"; exit 0; '
+ "fi; "
+ "if ! git remote -v 2>/dev/null | grep -q .; then "
+ ' SLUG=$(basename "{project_path}"); '
+ ' echo "Creating GitHub repository: $SLUG..."; '
+ ' if gh repo create "$SLUG" --public --source=. --remote=origin --push 2>&1; then '
+ ' REPO_URL=$(gh repo view "$SLUG" --json url -q .url 2>/dev/null || echo ""); '
+ ' echo "GitHub repository created: ${REPO_URL:-$SLUG}"; '
+ ' elif gh repo view "$SLUG" >/dev/null 2>&1; then '
+ ' echo "Repository $SLUG already exists on GitHub, linking as remote..."; '
+ ' REMOTE_URL=$(gh repo view "$SLUG" --json sshUrl -q .sshUrl 2>/dev/null || '
+ ' gh repo view "$SLUG" --json url -q .url); '
+ ' git remote add origin "$REMOTE_URL" 2>/dev/null || true; '
+ " git push -u origin HEAD 2>/dev/null || true; "
+ " else "
+ ' echo "SKIP: could not create GitHub repo — plan saved locally only"; exit 0; '
+ " fi; "
+ "fi; "
+ 'gh label create plan --description "Approved plan" --color 0366d6 --force 2>/dev/null || true; '
+ 'FOCUS="${FOCUS:-}"; '
+ 'ISSUE_NUM=""; '
+ 'if echo "$FOCUS" | grep -qE "^[0-9]+$"; then '
+ ' ISSUE_NUM="$FOCUS"; '
+ 'elif echo "$FOCUS" | grep -qoE "#([0-9]+)"; then '
+ ' ISSUE_NUM=$(echo "$FOCUS" | grep -oE "[0-9]+" | tail -1); '
+ "fi; "
+ 'if [ -n "$ISSUE_NUM" ]; then '
+ ' gh issue comment "$ISSUE_NUM" --body-file "{project_path}/.factory/strategy/current.md"; '
+ ' gh issue edit "$ISSUE_NUM" --add-label plan; '
+ ' echo "$ISSUE_NUM" > "{project_path}/.factory/strategy/github-issue-ref.txt"; '
+ ' echo "Plan posted to issue #$ISSUE_NUM"; '
+ "else "
+ ' TITLE="Plan: ${FOCUS:-project}"; '
+ ' ISSUE_URL=$(gh issue create --title "$TITLE" --body-file "{project_path}/.factory/strategy/current.md" --label plan); '
+ ' ISSUE_NUM=$(echo "$ISSUE_URL" | grep -oE "[0-9]+$"); '
+ ' echo "$ISSUE_NUM" > "{project_path}/.factory/strategy/github-issue-ref.txt"; '
+ ' echo "Created plan issue: $ISSUE_URL"; '
+ "fi"
+ "'"
+ ),
+ reads={".factory/strategy/current.md"},
+ writes={".factory/strategy/github-issue-ref.txt"},
+ notes=(
+ "Publishes the approved plan to a GitHub issue. If no git remote exists, "
+ "auto-creates a public GitHub repository via 'gh repo create --public "
+ "--source=. --remote=origin --push'. If the repo name already exists on "
+ "GitHub, links it as a remote instead. After ensuring a remote exists, "
+ "publishes the plan: if --focus is an issue number, posts as a comment; "
+ "otherwise creates a new issue titled 'Plan: <focus>'. "
+ "Writes the issue number to github-issue-ref.txt for downstream use by "
+ "seed_backlog. Graceful degradation: if gh is not authenticated, not in "
+ "a git repo, or repo creation fails, writes 'none' and exits cleanly."
+ ),
+ )
+
+ wf.nodes["seed_backlog"] = FnNode(
+ id="seed_backlog",
+ command=(
+ 'python3 -c "'
+ "import re, os; "
+ "project = '{project_path}'; "
+ "plan = open(f'{project}/.factory/strategy/current.md').read(); "
+ "ref_file = f'{project}/.factory/strategy/github-issue-ref.txt'; "
+ "issue_num = open(ref_file).read().strip() if os.path.exists(ref_file) else 'none'; "
+ "ref = f'(see #{issue_num})' if issue_num != 'none' else '(see .factory/strategy/current.md)'; "
+ "phases = re.findall(r'### Phase \\d+:.*', plan); "
+ "backlog_path = f'{project}/.factory/strategy/backlog.md'; "
+ "items = '\\n'.join(f'- [ ] {p[4:]} {ref}' for p in phases); "
+ "open(backlog_path, 'a').write('\\n' + items + '\\n') if items else None; "
+ "print(f'Seeded {len(phases)} backlog items from plan')"
+ '"'
+ ),
+ reads={".factory/strategy/current.md", ".factory/strategy/github-issue-ref.txt"},
+ writes={".factory/strategy/backlog.md"},
+ notes=(
+ "Extracts phase headers from the approved plan at current.md and appends them "
+ "as backlog items to backlog.md. References GitHub issue number if publish_github "
+ "ran (reads github-issue-ref.txt), otherwise references current.md. "
+ "Example: '- [ ] Phase 1: Set up auth middleware (see #42)'"
+ ),
+ )
+
+ # ── Remove build-phase nodes that are unreachable in plan mode ──
+ build_phase_nodes = {
+ "archivist_plan",
+ "builder",
+ "gate_build",
+ "fork_qa",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "join_qa",
+ "gate_qa",
+ "gate_doc_freshness",
+ "gate_precheck",
+ "archivist_build",
+ "spec_generate",
+ }
+ for node_id in build_phase_nodes:
+ wf.nodes.pop(node_id, None)
+
+ # ── Filter out edges referencing removed build-phase nodes ──
+ removed = build_phase_nodes
+ wf.edges = [e for e in wf.edges if e.source not in removed and e.target not in removed]
+
+ # Replace concat_study → fork_research with concat_study → check_prior_plans
+ wf.edges = [
+ e for e in wf.edges if not (e.source == "concat_study" and e.target == "fork_research")
+ ]
+
+ # Add plan-specific edges
+ wf.edges.extend(
+ [
+ Edge(source="concat_study", target="check_prior_plans"),
+ Edge(
+ source="check_prior_plans",
+ target="gate_prior_plans",
+ condition=VerdictType.PROCEED,
+ ),
+ Edge(
+ source="check_prior_plans", target="fork_research", condition=VerdictType.HALT
+ ),
+ Edge(
+ source="gate_prior_plans", target="fork_research", condition=VerdictType.PROCEED
+ ),
+ Edge(
+ source="gate_strategy", target="publish_github", condition=VerdictType.PROCEED
+ ),
+ Edge(source="publish_github", target="seed_backlog"),
+ ]
)
+ wf.name = "plan"
+ wf.start_node = "gate_has_factory"
+ wf.terminal = True
+
+ def plan_trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("just_plan") is True
+
+ wf.trigger = plan_trigger
+ return wf
+
+ wf.terminal = True
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return state in {
+ ProjectState.NO_REPO,
+ ProjectState.REPO_INCOMPLETE,
+ ProjectState.HAS_FACTORY,
+ } and ctx.get("interactive", False)
+
wf.trigger = trigger
return wf
-# ── W₃: Improve Mode ────────────────────────────────────────────
+# ── W₉: Create Mode ──────────────────────────────────────────────
+
+
+def create_workflow() -> Workflow:
+ """W₉: Create Mode — meta-mode for creating new factory modes.
-def improve_workflow() -> Workflow:
- """W₃: Improve Mode — study → research → strategy → per-hypothesis build/QA loop.
+ Takes a user description and produces a fully working workflow definition,
+ SKILL.md, CLI wiring, and tests.
- Study → Researcher → CEO gate → Strategist → CEO gate →
- per-hypothesis: begin → Builder → CEO gate → QA → gate_qa(max 3) →
- Precheck → finalize → Archivist(async)
+ Fork(3 researchers) → Join → CEO gate → Strategist → User gate →
+ Archivist(async) → Builder → CEO gate → deep-QA → gate_qa(max 3) →
+ Precheck gate → Archivist(async)
"""
nodes: dict[str, Any] = {}
edges: list[Edge] = []
- # Study
- nodes["study"] = Study(
- id="study",
- command="factory study {project_path}",
- writes={".factory/strategy/observations.md"},
- )
-
- # Researcher
- nodes["researcher"] = AgentNode(
- id="researcher",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Deep research for the project. "
- "Read observations at .factory/strategy/observations.md. "
- "Analyze codebase structure, eval scores, and experiment history. "
- "Search the web for best practices relevant to weak dimensions. "
- "Check .factory/archive/ for prior knowledge. "
- "Write findings to .factory/strategy/research-local.md."
+ # Research subgraph: fork → 3 researchers → join → CEO gate
+ _CREATE_RESEARCHERS = [
+ ResearcherConfig(
+ id="existing",
+ prompt_template=(
+ "Existing workflow analysis. "
+ "If the CEO task includes '## Create Mode (Update Existing Mode)', read the "
+ "**Target mode:** field and focus your analysis on that specific mode's workflow "
+ "definition via `factory workflow show <target_mode>`. Document its current node "
+ "sequences, gate logic, edge wiring, trigger function, and reads/writes. Also read "
+ "its SKILL.md at skills/workflow-<target_mode>/SKILL.md for the generated playbook. "
+ "Otherwise, read factory/workflow/definitions.py and analyze all existing workflow "
+ "definitions (build, design, create, spec-generate). "
+ "Document common patterns: node sequences, gate conventions, fork/join patterns, "
+ "archivist placement, edge wiring, trigger functions, reads/writes declarations. "
+ "Read factory/workflow/primitives.py for available node types and their fields. "
+ "Read factory/workflow/skill_export.py for WORKFLOW_META format. "
+ "Write findings to .factory/strategy/research-existing.md covering: "
+ "node type usage patterns, common subgraphs (builder→gate→qa→gate loop), "
+ "trigger function conventions, data flow patterns."
+ ),
),
- reads={".factory/strategy/observations.md"},
- writes={".factory/strategy/research-local.md"},
- )
-
- # CEO gate on research
- nodes["gate_research"] = GateNode(
- id="gate_research",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
+ ResearcherConfig(
+ id="intent",
+ prompt_template=(
+ "Mode description analysis. "
+ "Read the user's mode description from the CEO task. "
+ "If the CEO task includes '## Create Mode (Plugin Package)', parse the "
+ "**output_folder** and plugin-specific constraints (standalone package, "
+ "entry point registration, no upstream modifications). Structure the plugin "
+ "packaging requirements: pyproject.toml entry point, workflow file layout, "
+ "register_plugin() function pattern, installation and verification steps. "
+ "Write findings to .factory/strategy/research-intent.md covering: "
+ "structured requirements, packaging needs, workflow node candidates. "
+ "Otherwise, if the CEO task includes '## Create Mode (Update Existing Mode)', "
+ "parse the **Requested changes:** field and structure the requested modifications "
+ "against the existing mode's current behavior. Identify which nodes, edges, "
+ "prompts, or gates need to change and which must remain untouched. "
+ "Otherwise, parse and structure the description into a new workflow specification: "
+ "- Purpose and trigger conditions "
+ "- Agent roles needed (which specialists) "
+ "- Gate logic (user vs agent vs fn evaluators) "
+ "- Data flow (what files are read/written) "
+ "- Interactive vs headless requirements "
+ "- Input format (text, file, drawing, flow) "
+ "Write findings to .factory/strategy/research-intent.md covering: "
+ "structured requirements, node candidates, suggested graph topology."
+ ),
+ ),
+ ResearcherConfig(
+ id="practices",
+ prompt_template=(
+ "Workflow design best practices. "
+ "Search the web for workflow and pipeline design patterns relevant "
+ "to the described mode. Look for: DAG design patterns, agent orchestration "
+ "patterns, quality gate strategies, error recovery approaches. "
+ "Check .factory/archive/ for lessons from past mode creation or workflow changes. "
+ "Write findings to .factory/strategy/research-practices.md covering: "
+ "relevant design patterns, pitfalls to avoid, testing strategies."
+ ),
+ ),
+ ]
+ r_nodes, r_edges = _research_subgraph(
+ researchers=_CREATE_RESEARCHERS,
gate_prompt=(
- "Are observations grounded in data? Did web research surface useful patterns? "
- "Any blind spots in the analysis?"
+ "Are the existing workflow patterns well-documented? "
+ "Is the user's intent clearly structured into workflow requirements? "
+ "Are best practices relevant to this type of mode? Any gaps?"
),
- reads={".factory/strategy/research-local.md"},
)
+ nodes.update(r_nodes)
- # Strategist
+ # Strategist synthesizes workflow specification
nodes["strategist"] = AgentNode(
id="strategist",
role=AgentRole.STRATEGIST,
prompt_template=(
- "Generate prioritized hypotheses. "
- "Read the backlog at .factory/strategy/backlog.md — clear as many items as possible. "
- "Read Hypothesis Budget from observations for constraints. "
- "Read CEO research review at .factory/reviews/ceo-verdict-researcher.md. "
- "Each hypothesis must be specific, scoped to one PR, tied to observations, "
- "with expected impact on eval dimensions. "
- "Tag backlog items with **Backlog item:** and new items with **New:**. "
- "Write to .factory/strategy/current.md."
+ "Synthesize a workflow specification. "
+ "Read ALL tagged research files at .factory/strategy/research-*.md. "
+ "If the CEO task includes '## Create Mode (Update Existing Mode)', produce a "
+ "change spec describing modifications to the existing workflow: which nodes/edges/"
+ "prompts/gates to modify, what to add or remove, and a diff-oriented implementation "
+ "plan. Include the 20-point verification checklist from the CEO task. Do NOT produce "
+ "a complete new workflow definition — describe changes to the existing one. "
+ "Otherwise, produce a complete specification for a new factory mode including: "
+ "1) Python code for the workflow function (nodes dict, edges list, trigger) "
+ "2) WORKFLOW_META entry (description, argument_hint) "
+ "3) CLI wiring changes (build_parser mode choices, cmd_ceo routing, _build_ceo_task section) "
+ "4) Test cases (graph validation, skill export, trigger function, registration) "
+ "5) Node details: for each node, specify id, type, role, prompt_template, reads, writes "
+ "6) Edge details: for each edge, specify source, target, condition "
+ "7) Interactive vs headless behavior "
+ "Follow conventions from existing workflows — use the same patterns for "
+ "builder→gate→QA→gate loops, archivist placement, and research forks. "
+ "Write the specification to .factory/strategy/current.md."
),
- reads={".factory/strategy/research-local.md", ".factory/strategy/observations.md"},
+ reads={
+ ".factory/strategy/research-existing.md",
+ ".factory/strategy/research-intent.md",
+ ".factory/strategy/research-practices.md",
+ },
writes={".factory/strategy/current.md"},
)
- # CEO gate on strategy — HARD GATE
+ # User gate for workflow spec approval — interactive
nodes["gate_strategy"] = GateNode(
id="gate_strategy",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "HARD GATE. Check: specific enough to implement? Scoped to one PR? "
- "Expected eval impact realistic? Follows FEEC priority? "
- "Not redundant with reverted experiment? "
- "At least one growth hypothesis? Backlog convergence? "
- "Write PLAN APPROVED with approved hypotheses in priority order."
- ),
+ evaluator_type="user",
reads={".factory/strategy/current.md"},
)
- # Per-hypothesis: begin → builder → gate → QA → gate_qa(max 3) → precheck → finalize → archivist
- nodes["begin"] = FnNode(
- id="begin",
- command='factory begin {project_path} --hypothesis "Implement hypothesis"',
- writes={".factory/experiments/current_id"},
+ # Archivist (async, non-blocking)
+ nodes["archivist_plan"] = AgentNode(
+ id="archivist_plan",
+ role=AgentRole.ARCHIVIST,
+ prompt_template="Archive the approved workflow specification for the new mode.",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/archive/create-plan.md"},
+ blocking=False,
)
+ # Builder implements everything
nodes["builder"] = AgentNode(
id="builder",
role=AgentRole.BUILDER,
+ timeout=1800,
prompt_template=(
- "Implement the current hypothesis from .factory/strategy/current.md. "
- "Read CLAUDE.md and factory.md. Read the CEO strategy approval. "
- "Implement exactly what the hypothesis describes. Run tests. "
- "Commit and open a draft PR."
+ "Implement the workflow changes from the approved specification. "
+ "Read the approved spec at .factory/strategy/current.md. "
+ "Read CLAUDE.md for project conventions. "
+ "If the CEO task includes '## Create Mode (Plugin Package)', follow the "
+ "PLUGIN checklist: "
+ "1) Read **output_folder** from the CEO task "
+ "2) Create the output directory: mkdir -p <output_folder> "
+ "3) Write pyproject.toml with: "
+ " name factory-<mode-name>-workflow, version 0.1.0, "
+ " build-system hatchling, requires-python >=3.11, "
+ " dependencies [remote-factory], "
+ " entry point [factory.plugins] <mode-name> = '<mode_name>:register_plugin' "
+ "4) Write <mode_name>.py with: "
+ " meta dict (name, description), "
+ " workflow() function returning a Workflow object, "
+ " register_plugin(registry) calling registry.add_modes() and "
+ " registry.add_workflow_search_path(str(Path(__file__).parent)) "
+ "5) Write README.md with installation and usage "
+ "6) Test: pip install -e <output_folder>/ "
+ "7) Verify: factory workflow list shows the mode "
+ "8) Validate: factory workflow validate <mode-name> "
+ "9) Clean up: pip uninstall -y factory-<mode-name>-workflow "
+ "The plugin package stays in the output directory — do NOT commit it "
+ "to the factory repo or open a PR. It is a standalone artifact. "
+ "Do NOT modify factory/workflow/definitions.py or register_all(). "
+ "Otherwise, if the CEO task includes '## Create Mode (Update Existing Mode)', "
+ "follow the update checklist: modify the existing workflow function in "
+ "definitions.py, verify the register_all() entry still resolves, update "
+ "WORKFLOW_META if needed, verify all 20 registration points from the CEO task, "
+ "run factory workflow validate <name>, regenerate SKILL.md via factory workflow "
+ "export-skills, update tests, run pytest and ruff check. "
+ "Otherwise, follow the new-mode checklist for portable workflows: "
+ "1) Create $PROJECT_PATH/.factory/workflows/ directory if it doesn't exist "
+ "2) Write the workflow file to $PROJECT_PATH/.factory/workflows/<name>.py "
+ "3) The file must contain a `meta` dict with `name` and `description` keys, "
+ "and a `workflow()` function returning a Workflow object "
+ "4) Only import from factory.workflow.primitives and stdlib — no other factory internals "
+ "5) Do NOT modify factory/workflow/definitions.py, register_all(), WORKFLOW_META, "
+ "or CLI wiring — the workflow registry discovers .factory/workflows/ automatically "
+ "6) Run factory workflow validate <name> --project-path $PROJECT_PATH to verify the graph "
+ "7) Run factory workflow export-skills --project-path $PROJECT_PATH to generate the SKILL.md "
+ "8) Write tests in tests/ "
+ "9) Run pytest and ruff check to verify "
+ "Commit changes and open a draft PR."
),
reads={".factory/strategy/current.md"},
writes={".factory/reviews/builder-latest.md"},
)
+ # CEO gate on build
nodes["gate_build"] = GateNode(
id="gate_build",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
gate_prompt=(
- "Read builder output and PR diff. Does work match the hypothesis? "
- "No scope creep? Tests included? REDIRECT if off-scope."
+ "Read builder output and PR diff. Does work match the approved spec? "
+ "For plugin packages: verify output directory contains pyproject.toml, "
+ "workflow .py with meta + workflow() + register_plugin(), and README.md. "
+ "Verify NO upstream factory files were modified. "
+ "For new modes: verify workflow file exists at .factory/workflows/<name>.py "
+ "with meta dict and workflow() function, NOT patched into definitions.py. "
+ "For existing mode updates: verify definitions.py changes are correct. "
+ "Tests written. REDIRECT if any component is missing."
),
reads={".factory/reviews/builder-latest.md"},
)
- nodes["qa"] = AgentNode(
- id="qa",
- role=AgentRole.QA,
- prompt_template=(
- "Run health check (factory eval + score delta), code review "
- "(correctness, architecture, edge cases, security), and adversarial QA "
- "(run/test the built feature). Write results to .factory/reviews/qa-latest.md"
+ # Deep-QA verification (replaces monolithic QA)
+ dq_nodes, dq_edges = _deep_qa_subgraph(
+ adversarial_extra=(
+ "**Plugin mode check:** If the CEO task includes '## Create Mode "
+ "(Plugin Package)', verify the plugin package structure: "
+ "1) Output directory exists at the specified output_folder path. "
+ "2) pyproject.toml exists with [project.entry-points.'factory.plugins'] section. "
+ "3) Workflow .py file has meta dict + workflow() + register_plugin() function. "
+ "4) README.md documents installation and usage. "
+ "5) Run: pip install -e <folder>/ (must succeed). "
+ "6) Run: factory workflow list (must show the new mode). "
+ "7) Run: factory workflow validate <mode-name> (must pass). "
+ "8) Run: pip uninstall -y factory-<mode-name>-workflow (cleanup). "
+ "Verify NO upstream factory files were modified (definitions.py, register_all, etc). "
+ "**Project-local mode check:** Otherwise, for new modes: verify the workflow "
+ "was written to .factory/workflows/<name>.py (NOT to definitions.py). "
+ "Run: factory workflow validate <name> --project-path $PROJECT_PATH, "
+ "factory workflow show <name> --project-path $PROJECT_PATH. "
+ "Verify SKILL.md generated under skills/workflow-<name>/. "
+ "Check workflow handles both interactive and headless paths."
),
- reads={".factory/reviews/builder-latest.md"},
- writes={".factory/reviews/qa-latest.md"},
)
+ nodes.update(dq_nodes)
+ # CEO gate on QA (max 3 iterations)
nodes["gate_qa"] = GateNode(
id="gate_qa",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
gate_prompt=(
- "Review QA results. PROCEED if all checks pass. "
+ "Review QA results for the new mode. PROCEED if all checks pass: "
+ "workflow validates, SKILL.md generated, tests pass, CLI recognizes mode. "
"RELOOP to builder (max 3 iterations) if issues found."
),
- reads={".factory/reviews/qa-latest.md"},
+ reads={
+ ".factory/reviews/health-check.md",
+ ".factory/reviews/code-review.md",
+ ".factory/reviews/adversarial-qa.md",
+ },
)
- nodes["gate_precheck"] = GateNode(
- id="gate_precheck",
- evaluator_type="fn",
- evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
- reads={".factory/reviews/qa-latest.md"},
+ nodes["gate_doc_freshness"] = GateNode(
+ id="gate_doc_freshness",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ gate_prompt=DOC_FRESHNESS_GATE_PROMPT,
+ reads={".factory/reviews/adversarial-qa.md"},
)
- nodes["finalize"] = FnNode(
- id="finalize",
- command="factory finalize {project_path} --id 1 --verdict keep --hypothesis 'hypothesis'",
- reads={".factory/reviews/qa-latest.md"},
- writes={".factory/experiments/verdict.json"},
+ # Precheck gate
+ nodes["gate_precheck"] = GateNode(
+ id="gate_precheck",
+ evaluator_type="fn",
+ evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
+ reads={".factory/reviews/adversarial-qa.md"},
)
- nodes["archivist"] = AgentNode(
- id="archivist",
+ # Archivist (async)
+ nodes["archivist_build"] = AgentNode(
+ id="archivist_build",
role=AgentRole.ARCHIVIST,
- prompt_template="Archive experiment results and learnings.",
- reads={".factory/experiments/verdict.json"},
- writes={".factory/archive/experiment.md"},
+ prompt_template="Archive the new mode build results and learnings.",
+ reads={".factory/reviews/adversarial-qa.md"},
+ writes={".factory/archive/create-build.md"},
blocking=False,
)
+ # Edges
edges = [
- # Study → researcher
- Edge(source="study", target="researcher"),
- # Researcher → research gate
- Edge(source="researcher", target="gate_research"),
+ # Research subgraph internal edges
+ *r_edges,
# Research gate
Edge(source="gate_research", target="strategist", condition=VerdictType.PROCEED),
- Edge(source="gate_research", target="researcher", condition=VerdictType.RELOOP),
- # Strategist → strategy gate
+ Edge(source="gate_research", target="fork_research", condition=VerdictType.RELOOP),
+ # Strategist → user gate
Edge(source="strategist", target="gate_strategy"),
- # Strategy gate
- Edge(source="gate_strategy", target="begin", condition=VerdictType.PROCEED),
+ # User gate
+ Edge(source="gate_strategy", target="archivist_plan", condition=VerdictType.PROCEED),
Edge(source="gate_strategy", target="strategist", condition=VerdictType.RELOOP),
- # begin → builder
- Edge(source="begin", target="builder"),
+ # Archivist → builder
+ Edge(source="archivist_plan", target="builder"),
# Builder → build gate
Edge(source="builder", target="gate_build"),
- # Build gate → QA (proceed) or builder (reloop)
- Edge(source="gate_build", target="qa", condition=VerdictType.PROCEED),
+ # Build gate → deep-qa (proceed) or builder (reloop)
+ Edge(source="gate_build", target="fork_qa", condition=VerdictType.PROCEED),
Edge(source="gate_build", target="builder", condition=VerdictType.RELOOP),
- # QA → gate_qa
- Edge(source="qa", target="gate_qa"),
- # gate_qa → precheck (proceed) or builder (reloop, max 3)
- Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED),
+ # Deep-QA internal edges
+ *dq_edges,
+ # adversarial_tester → gate_qa
+ Edge(source="join_qa", target="gate_qa"),
+ # gate_qa → doc freshness (proceed) or builder (reloop)
+ Edge(source="gate_qa", target="gate_doc_freshness", condition=VerdictType.PROCEED),
Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
- # Precheck → finalize (proceed) or halt
- Edge(source="gate_precheck", target="finalize", condition=VerdictType.PROCEED),
- # Finalize → archivist
- Edge(source="finalize", target="archivist"),
+ # Doc freshness → precheck (proceed) or builder (reloop)
+ Edge(source="gate_doc_freshness", target="gate_precheck", condition=VerdictType.PROCEED),
+ Edge(source="gate_doc_freshness", target="builder", condition=VerdictType.RELOOP),
+ # Precheck → archivist (proceed) or halt → archivist (error handling)
+ Edge(source="gate_precheck", target="archivist_build", condition=VerdictType.PROCEED),
+ Edge(source="gate_precheck", target="archivist_build", condition=VerdictType.HALT),
]
def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return state == ProjectState.HAS_FACTORY
+ return ctx.get("mode") == "create"
return Workflow(
- name="improve",
+ name="create",
nodes=nodes,
edges=edges,
- start_node="study",
+ start_node="fork_research",
trigger=trigger,
)
-# ── W₄: Research Mode ───────────────────────────────────────────
+# ── W₁₃: Spec Generate Mode ────────────────────────────────────
-def research_workflow() -> Workflow:
- """W₄: Research Mode — extends W₃ with baseline measurement, failure analyst,
- research command eval, and plateau detection.
-
- W₄ = W₃[study ← (baseline → failure_analyst → researcher),
- qa ← QA with surface constraint verification, + plateau_gate]
- """
- wf = improve_workflow()
- # Replace study with baseline measurement
- del wf.nodes["study"]
+def spec_generate_workflow() -> Workflow:
+ """W₁₃: Spec Generate — extract behavioral spec, annotate, validate.
- wf.nodes["baseline"] = FnNode(
- id="baseline",
- command="factory eval {project_path}",
- writes={".factory/experiments/baseline.json"},
- )
-
- # Insert failure analyst
- wf.nodes["failure_analyst"] = AgentNode(
- id="failure_analyst",
- role=AgentRole.FAILURE_ANALYST,
- prompt_template=(
- "Analyze research run results. "
- "Read run artifacts at .factory/research/runs/. "
- "Read research target config from .factory/config.json. "
- "Classify failures by type and severity. "
- "Compute failure distribution. "
- "Suggest interventions within mutable surfaces only. "
- "Write to .factory/strategy/failure_analysis.md."
- ),
- reads={".factory/experiments/baseline.json"},
- writes={".factory/strategy/failure_analysis.md"},
- )
-
- # Update researcher to read failure analysis
- wf.nodes["researcher"] = AgentNode(
- id="researcher",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Failure-targeted research. "
- "Read failure analysis at .factory/strategy/failure_analysis.md. "
- "Search the web for solutions to the dominant failure modes. "
- "Check .factory/archive/ for prior knowledge on these patterns. "
- "Write findings to .factory/strategy/research-local.md."
- ),
- reads={".factory/strategy/failure_analysis.md"},
- writes={".factory/strategy/research-local.md"},
- )
-
- # Update strategist to read failure analysis instead of observations
- wf.nodes["strategist"] = AgentNode(
- id="strategist",
- role=AgentRole.STRATEGIST,
- prompt_template=(
- "Generate research hypotheses targeting dominant failure modes. "
- "Each hypothesis must improve over the previous baseline score. "
- "Each hypothesis must name specific files from mutable_surfaces to modify. "
- "Hypotheses MUST NOT modify files in fixed_surfaces. "
- "Prioritize by expected impact on the target metric. "
- "Write 1-3 hypotheses to .factory/strategy/current.md."
- ),
- reads={".factory/strategy/research-local.md", ".factory/strategy/failure_analysis.md"},
- writes={".factory/strategy/current.md"},
- )
-
- # Override QA prompt to include surface constraint verification for research mode
- wf.nodes["qa"] = AgentNode(
- id="qa",
- role=AgentRole.QA,
- prompt_template=(
- "Run health check (factory eval + score delta), code review "
- "(correctness, architecture, edge cases, security), adversarial QA "
- "(run/test the built feature), and verify mutable/fixed surface "
- "constraint compliance. Write results to .factory/reviews/qa-latest.md"
- ),
- reads={".factory/reviews/builder-latest.md"},
- writes={".factory/reviews/qa-latest.md"},
- )
-
- # Add plateau gate after finalize — checks if score improved over prior runs
- wf.nodes["plateau_gate"] = GateNode(
- id="plateau_gate",
- evaluator_type="fn",
- evaluator_command=(
- "python3 -c \""
- "import json, pathlib, sys; "
- "tsv = pathlib.Path('{project_path}/.factory/results.tsv'); "
- "lines = [l for l in tsv.read_text().strip().splitlines()[1:] if l.strip()] if tsv.exists() else []; "
- "scores = []; "
- "[scores.append(float(p)) for l in lines for i, p in enumerate(l.split(chr(9))) if i == 2 and p]; "
- "recent = scores[-3:] if len(scores) >= 3 else scores; "
- "improved = len(recent) < 2 or recent[-1] > recent[-2]; "
- "print('RELOOP' if improved else 'PROCEED')"
- "\""
- ),
- reads={".factory/experiments/verdict.json"},
- )
-
- # Rebuild edges for research flow
- wf.edges = [
- # Baseline → failure analyst → researcher
- Edge(source="baseline", target="failure_analyst"),
- Edge(source="failure_analyst", target="researcher"),
- # Researcher → research gate
- Edge(source="researcher", target="gate_research"),
- Edge(source="gate_research", target="strategist", condition=VerdictType.PROCEED),
- Edge(source="gate_research", target="researcher", condition=VerdictType.RELOOP),
- # Strategist → strategy gate
- Edge(source="strategist", target="gate_strategy"),
- Edge(source="gate_strategy", target="begin", condition=VerdictType.PROCEED),
- Edge(source="gate_strategy", target="strategist", condition=VerdictType.RELOOP),
- # begin → builder
- Edge(source="begin", target="builder"),
- # Builder → build gate
- Edge(source="builder", target="gate_build"),
- # Build gate → QA (proceed) or builder (reloop)
- Edge(source="gate_build", target="qa", condition=VerdictType.PROCEED),
- Edge(source="gate_build", target="builder", condition=VerdictType.RELOOP),
- # QA → gate_qa
- Edge(source="qa", target="gate_qa"),
- # gate_qa → precheck (proceed) or builder (reloop, max 3)
- Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED),
- Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
- Edge(source="gate_precheck", target="finalize", condition=VerdictType.PROCEED),
- # Finalize → archivist → plateau gate
- Edge(source="finalize", target="archivist"),
- Edge(source="archivist", target="plateau_gate"),
- # Plateau gate: proceed (done) or reloop to baseline
- Edge(source="plateau_gate", target="baseline", condition=VerdictType.RELOOP),
- ]
-
- wf.name = "research"
- wf.start_node = "baseline"
-
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return state == ProjectState.HAS_FACTORY and bool(ctx.get("research_target"))
-
- wf.trigger = trigger
- return wf
-
-
-# ── W₅: Meta Mode ───────────────────────────────────────────────
-
-
-def meta_workflow() -> Workflow:
- """W₅: Meta Mode — cross-project insights → playbook evolution + test pruning.
-
- insights → Researcher → CEO gate → Strategist → User gate → apply_playbooks →
- Archivist(async) → test_collect → test_researcher → gate → test_builder →
- qa_verify → gate_qa_verify(max 3)
-
- The archivist is non-blocking, so it fires in the background while the
- test pruning chain proceeds immediately.
+ extract → gate_extract → annotate → gate_annotate →
+ validate → gate_validate → done
"""
nodes: dict[str, Any] = {}
edges: list[Edge] = []
- # Collect cross-project insights
- nodes["insights"] = FnNode(
- id="insights",
- command="factory insights {project_path}",
- writes={".factory/strategy/insights.md"},
- )
-
- # Researcher reads insights + playbooks
- nodes["researcher"] = AgentNode(
- id="researcher",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Read cross-project insights at .factory/strategy/insights.md and current playbooks. "
- "Identify recurring patterns, anti-patterns, and improvement opportunities. "
- "Compare agent performance across projects. "
- "Write findings to .factory/strategy/research-local.md."
- ),
- reads={".factory/strategy/insights.md"},
- writes={".factory/strategy/research-local.md"},
+ # Graphify extraction — produces graph.json (local AST, no LLM cost)
+ nodes["extract"] = FnNode(
+ id="extract",
+ command="factory graph extract {project_path}",
+ notes="Run graphify to extract a code knowledge graph from the project source.",
+ writes={"graph.json"},
)
- # CEO gate on research quality
- nodes["gate_research"] = GateNode(
- id="gate_research",
+ # CEO gate — check extraction quality
+ nodes["gate_extract"] = GateNode(
+ id="gate_extract",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
gate_prompt=(
- "Are cross-project patterns well-supported by data? "
- "Are proposed improvements actionable? Any blind spots?"
- ),
- reads={".factory/strategy/research-local.md"},
- )
-
- # Strategist proposes playbook diffs
- nodes["strategist"] = AgentNode(
- id="strategist",
- role=AgentRole.STRATEGIST,
- prompt_template=(
- "Propose specific playbook edits based on cross-project research. "
- "For each agent role, propose DO/DON'T bullet additions or removals "
- "with supporting evidence from experiment data. "
- "Write diffs to .factory/strategy/playbook-diffs.md."
+ "Check that graph.json was produced. "
+ "Verify it contains nodes and edges. "
+ "PROCEED if the graph was extracted successfully. RELOOP if missing or empty."
),
- reads={".factory/strategy/research-local.md"},
- writes={".factory/strategy/playbook-diffs.md"},
- )
-
- # User gate for playbook approval
- nodes["gate_user"] = GateNode(
- id="gate_user",
- evaluator_type="user",
- reads={".factory/strategy/playbook-diffs.md"},
- )
-
- # Apply playbooks
- nodes["apply_playbooks"] = FnNode(
- id="apply_playbooks",
- command="factory ace {project_path}",
- reads={".factory/strategy/playbook-diffs.md"},
- writes={".factory/archive/playbooks-applied.md"},
+ reads={"graph.json"},
)
- # Archivist (async, non-blocking — fires in background while test chain proceeds)
- nodes["archivist"] = AgentNode(
- id="archivist",
- role=AgentRole.ARCHIVIST,
- prompt_template="Archive playbook evolution results.",
- reads={".factory/archive/playbooks-applied.md"},
- writes={".factory/archive/meta.md"},
- blocking=False,
- )
-
- # Test pruning chain
- nodes["test_collect"] = FnNode(
- id="test_collect",
- command="pytest --co -q 2>/dev/null || true",
- writes={".factory/strategy/test-inventory.md"},
- )
-
- nodes["test_researcher"] = AgentNode(
- id="test_researcher",
+ # Researcher annotation — reads graph.json directly, produces SPEC.md
+ nodes["annotate"] = AgentNode(
+ id="annotate",
role=AgentRole.RESEARCHER,
prompt_template=(
- "Analyze test inventory for redundant, dead, or flaky tests. "
- "Identify tests that overlap, test nothing meaningful, or are consistently flaky. "
- "Write findings to .factory/strategy/test-analysis.md with specific test names "
- "and reasons for removal."
- ),
- reads={".factory/strategy/test-inventory.md"},
- writes={".factory/strategy/test-analysis.md"},
- )
-
- nodes["gate_test_prune"] = GateNode(
- id="gate_test_prune",
- evaluator_type="user",
- reads={".factory/strategy/test-analysis.md"},
- )
-
- nodes["test_builder"] = AgentNode(
- id="test_builder",
- role=AgentRole.BUILDER,
- prompt_template=(
- "Delete the approved redundant tests. "
- "Verify remaining suite still passes."
- ),
- reads={".factory/strategy/test-analysis.md"},
- writes={".factory/reviews/test-pruning-latest.md"},
- )
-
- nodes["qa_verify"] = AgentNode(
- id="qa_verify",
- role=AgentRole.QA,
- prompt_template=(
- "Verify the test suite still passes after pruning. "
- "Run health check and confirm no regressions. "
- "Write results to .factory/reviews/qa-verify-latest.md"
- ),
- reads={".factory/reviews/test-pruning-latest.md"},
- writes={".factory/reviews/qa-verify-latest.md"},
- )
-
- nodes["gate_qa_verify"] = GateNode(
- id="gate_qa_verify",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Review QA verification of test pruning. PROCEED if tests still pass. "
- "RELOOP to test_builder (max 3 iterations) if regressions found."
- ),
- reads={".factory/reviews/qa-verify-latest.md"},
- )
-
- edges = [
- # Insights → researcher
- Edge(source="insights", target="researcher"),
- # Researcher → CEO gate
- Edge(source="researcher", target="gate_research"),
- Edge(source="gate_research", target="strategist", condition=VerdictType.PROCEED),
- Edge(source="gate_research", target="researcher", condition=VerdictType.RELOOP),
- # Strategist → user gate
- Edge(source="strategist", target="gate_user"),
- Edge(source="gate_user", target="apply_playbooks", condition=VerdictType.PROCEED),
- Edge(source="gate_user", target="strategist", condition=VerdictType.RELOOP),
- # Apply → archivist (non-blocking) → test chain
- Edge(source="apply_playbooks", target="archivist"),
- Edge(source="archivist", target="test_collect"),
- # Test pruning branch
- Edge(source="test_collect", target="test_researcher"),
- Edge(source="test_researcher", target="gate_test_prune"),
- Edge(source="gate_test_prune", target="test_builder", condition=VerdictType.PROCEED),
- Edge(source="gate_test_prune", target="test_researcher", condition=VerdictType.RELOOP),
- # QA verification after test pruning
- Edge(source="test_builder", target="qa_verify"),
- Edge(source="qa_verify", target="gate_qa_verify"),
- Edge(source="gate_qa_verify", target="test_builder", condition=VerdictType.RELOOP),
- ]
-
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return ctx.get("mode") == "meta"
-
- return Workflow(
- name="meta",
- nodes=nodes,
- edges=edges,
- start_node="insights",
- trigger=trigger,
- )
-
-
-# ── W₆: Discover Mode ──────────────────────────────────────────
-
-
-def discover_workflow() -> Workflow:
- """W₆: Discover Mode — auto-discover eval dimensions and generate eval harness.
-
- factory discover → CEO verify → re-detect state
- """
- nodes: dict[str, Any] = {}
- edges: list[Edge] = []
-
- nodes["discover"] = FnNode(
- id="discover",
- command="factory discover {project_path}",
- writes={
- ".factory/eval_profile.json",
- "eval/score.py",
- },
- )
-
- nodes["gate_discover"] = GateNode(
- id="gate_discover",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Verify the discovered eval profile makes sense. "
- "Read .factory/eval_profile.json and eval/score.py. "
- "Check: Are the dimensions relevant to this project? "
- "Does score.py look correct? Any missing dimensions?"
- ),
- reads={".factory/eval_profile.json", "eval/score.py"},
- )
-
- nodes["redetect"] = FnNode(
- id="redetect",
- command="factory detect {project_path}",
- reads={".factory/eval_profile.json"},
- )
-
- edges = [
- Edge(source="discover", target="gate_discover"),
- Edge(source="gate_discover", target="redetect", condition=VerdictType.PROCEED),
- Edge(source="gate_discover", target="discover", condition=VerdictType.RELOOP),
- ]
-
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return state == ProjectState.NO_FACTORY
-
- return Workflow(
- name="discover",
- nodes=nodes,
- edges=edges,
- start_node="discover",
- trigger=trigger,
- )
-
-
-# ── W₇: Review Mode ───────────────────────────────────────────
-
-
-def review_workflow() -> Workflow:
- """W₇: Review Mode — verify eval dimensions, create factory.md, baseline eval.
-
- eval_test → CEO gate (fix dims) → mark_reviewed → create_factory_md →
- factory_init → baseline_eval → commit → e2e_gate
- """
- nodes: dict[str, Any] = {}
- edges: list[Edge] = []
-
- nodes["eval_test"] = FnNode(
- id="eval_test",
- command='cd {project_path} && python eval/score.py',
- writes={".factory/reviews/eval-test-latest.md"},
- )
-
- nodes["gate_eval"] = GateNode(
- id="gate_eval",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Check eval output. Did all dimensions pass? "
- "If any dimension failed, dispatch the Builder to fix it "
- "(install missing tool, adjust command, remove broken dimension). "
- "PROCEED only when all dimensions produce valid scores."
- ),
- reads={".factory/reviews/eval-test-latest.md"},
- )
-
- nodes["mark_reviewed"] = FnNode(
- id="mark_reviewed",
- command=(
- "python3 -c \""
- "import json; from pathlib import Path; "
- "p = Path('{project_path}/.factory/eval_profile.json'); "
- "d = json.loads(p.read_text()); d['human_reviewed'] = True; "
- "p.write_text(json.dumps(d, indent=2))"
- "\""
- ),
- writes={".factory/eval_profile.json"},
- )
-
- nodes["create_factory_md"] = AgentNode(
- id="create_factory_md",
- role=AgentRole.CEO,
- prompt_template=(
- "Create factory.md from template. "
- "Copy the factory config template to the project root. "
- "Fill in: Goal, Scope, Guards, Eval command, Threshold, and Smoke Test. "
- "If .factory/eval_spec.json exists, populate the Eval Spec section. "
- "If .factory/strategy/current.md has a Research Configuration section, "
- "populate research sections (Research Target, Mutable/Fixed Surfaces, etc.)."
- ),
- reads={".factory/eval_profile.json"},
- writes={"factory.md"},
- )
-
- nodes["factory_init"] = FnNode(
- id="factory_init",
- command="factory init {project_path}",
- reads={"factory.md"},
- writes={".factory/config.json"},
- )
-
- nodes["baseline_eval"] = FnNode(
- id="baseline_eval",
- command="factory eval {project_path}",
- reads={".factory/config.json"},
- writes={".factory/experiments/baseline.json"},
- )
-
- nodes["commit"] = FnNode(
- id="commit",
- command=(
- 'cd {project_path} && git add factory.md eval/score.py .factory/ '
- '&& git commit -m "factory: initialize factory config and baseline eval"'
- ),
- reads={"factory.md"},
- )
-
- nodes["gate_e2e"] = GateNode(
- id="gate_e2e",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "E2E verification gate. Verify the project runs end-to-end. "
- "Check the Smoke Test command in factory.md and run it. "
- "If this is a pre-existing project entering the factory for the first time, "
- "it MUST be verified before transitioning to Improve mode."
- ),
- reads={"factory.md", ".factory/config.json"},
- )
-
- edges = [
- Edge(source="eval_test", target="gate_eval"),
- Edge(source="gate_eval", target="mark_reviewed", condition=VerdictType.PROCEED),
- Edge(source="gate_eval", target="eval_test", condition=VerdictType.RELOOP),
- Edge(source="mark_reviewed", target="create_factory_md"),
- Edge(source="create_factory_md", target="factory_init"),
- Edge(source="factory_init", target="baseline_eval"),
- Edge(source="baseline_eval", target="commit"),
- Edge(source="commit", target="gate_e2e"),
- ]
-
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return state == ProjectState.EVALS_PENDING_REVIEW
-
- return Workflow(
- name="review",
- nodes=nodes,
- edges=edges,
- start_node="eval_test",
- trigger=trigger,
- )
-
-
-# ── W₈: Refine Mode ───────────────────────────────────────────
-
-
-def refine_workflow() -> Workflow:
- """W₈: Refine Mode — lightweight user-directed refinement pipeline.
-
- Refiner → CEO gate → tier gate → begin → create issue →
- Builder → QA gate(max 3) → precheck → finalize → Archivist(async)
- """
- nodes: dict[str, Any] = {}
- edges: list[Edge] = []
-
- # R0: Classify
- nodes["refiner"] = AgentNode(
- id="refiner",
- role=AgentRole.REFINER,
- prompt_template=(
- "Classify and scope a refinement request. "
- "Read CLAUDE.md and factory.md. Analyze the codebase to identify "
- "which files need to change, estimate scope, and classify the request "
- "as Tier 1, 2, or 3. Produce the structured classification output "
- "with a Builder task description."
+ "Read the code knowledge graph at graph.json. "
+ "Read the spec_annotator prompt at factory/agents/prompts/spec_annotator.md. "
+ "Produce a two-tier behavioral spec with RFC 2119 normative language. "
+ "Use [[graph:...]] reference links for granular module details. "
+ "Write output to SPEC.md in the project root."
),
- writes={".factory/reviews/refiner-latest.md"},
+ reads={"graph.json"},
+ writes={"SPEC.md"},
)
- # R0-review: CEO Review
- nodes["gate_refiner"] = GateNode(
- id="gate_refiner",
+ # CEO gate — check annotation quality and section completeness
+ nodes["gate_annotate"] = GateNode(
+ id="gate_annotate",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
gate_prompt=(
- "Review Refiner classification. Is the tier classification reasonable? "
- "Are the identified files correct? Is the Builder task description "
- "specific enough? REDIRECT if the classification is wrong."
- ),
- reads={".factory/reviews/refiner-latest.md"},
- )
-
- # R1: Tier gate — Tier 3 exits
- nodes["gate_tier"] = GateNode(
- id="gate_tier",
- evaluator_type="fn",
- evaluator_command=(
- "python3 -c \""
- "from pathlib import Path; "
- "text = Path('{project_path}/.factory/reviews/refiner-latest.md').read_text(); "
- "print('HALT' if 'Tier 3' in text or 'tier 3' in text or 'TIER 3' in text else 'PROCEED')"
- "\""
+ "Review the annotated spec at SPEC.md. "
+ "Check: do module behavioral contracts match the actual code? "
+ "Does the spec use RFC 2119 normative language (MUST/SHOULD/MAY)? "
+ "Are there scoring tables (there should NOT be)? "
+ "SECTION COMPLETENESS CHECK — verify ALL of the following sections are present "
+ "and non-empty: "
+ " Problem Statement, "
+ " Goals and Non-Goals (including.1 Goals.2 Non-Goals.3 Design Philosophy), "
+ " Project Identity, "
+ " Technical Stack, "
+ " Architecture Overview, "
+ " Domain Model, "
+ " State Machines and Lifecycles, "
+ " Module Specifications, "
+ " Shared Contracts, "
+ " Configuration Specification, "
+ " Entry Points, "
+ " Failure Model and Recovery, "
+ " Security and Safety, "
+ " Test and Validation Matrix, "
+ " Extension Points, "
+ " Implementation Checklist, "
+ "Appendix A: Reference Algorithms. "
+ "RELOOP if ANY section is missing or empty. "
+ "PROCEED only if ALL 16 sections + Appendix A are present and non-empty."
),
- reads={".factory/reviews/refiner-latest.md"},
+ reads={"SPEC.md"},
)
- # R2: Begin experiment
- nodes["begin"] = FnNode(
- id="begin",
- command='factory begin {project_path} --hypothesis "Refine: user refinement request"',
- writes={".factory/experiments/current_id"},
+ # Validation — run automated consistency checks
+ nodes["validate"] = FnNode(
+ id="validate",
+ command="factory spec validate {project_path}",
+ notes="Run automated consistency checks on the annotated SPEC.md. Must run after annotation is CEO-approved.",
+ reads={"SPEC.md"},
+ writes={".factory/spec_validation.md"},
)
- # R3: Create GitHub issue
- nodes["create_issue"] = FnNode(
- id="create_issue",
- command=(
- 'gh issue create --title "Refine: refinement request" '
- '--label "refinement" --body "Factory refinement experiment."'
- ),
- reads={".factory/reviews/refiner-latest.md"},
- )
-
- # R4: Builder
- nodes["builder"] = AgentNode(
- id="builder",
- role=AgentRole.BUILDER,
- prompt_template=(
- "Implement the refinement described in the Refiner's output. "
- "Read the GitHub issue. Read CLAUDE.md and factory.md. "
- "Implement exactly what the issue describes. Run tests. "
- "Commit and open a draft PR."
- ),
- reads={".factory/reviews/refiner-latest.md"},
- writes={".factory/reviews/builder-latest.md"},
- )
-
- # R5: QA verification
- nodes["qa"] = AgentNode(
- id="qa",
- role=AgentRole.QA,
- prompt_template=(
- "Verify the refinement. Run all 3 verification sections: "
- "1. Health Check — run factory eval. Report composite score and delta. "
- "2. Code Review — read PR diff, evaluate 7-category checklist. "
- "Run factory guard with --check-scope. "
- "3. Adversarial QA — run/test the project, verify the refinement works."
- ),
- reads={".factory/reviews/builder-latest.md"},
- writes={".factory/reviews/qa-latest.md"},
- )
-
- # R5-review: CEO gate on QA
- nodes["gate_qa"] = GateNode(
- id="gate_qa",
+ # Final quality gate
+ nodes["gate_validate"] = GateNode(
+ id="gate_validate",
evaluator_type="agent",
evaluator_role=AgentRole.CEO,
gate_prompt=(
- "Read QA output. Did all verification sections pass? "
- "Are there issues that need Builder fixes? "
- "REDIRECT to Builder if issues found (max 3 iterations)."
+ "Final quality gate for the repo spec. "
+ "Read SPEC.md. Is it complete, well-structured, "
+ "and under 24K tokens? PROCEED to finish."
),
- reads={".factory/reviews/qa-latest.md"},
- )
-
- # R6: Precheck gate
- nodes["gate_precheck"] = GateNode(
- id="gate_precheck",
- evaluator_type="fn",
- evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
- reads={".factory/reviews/qa-latest.md"},
- )
-
- # R7: Finalize
- nodes["finalize"] = FnNode(
- id="finalize",
- command="factory finalize {project_path} --id 1 --verdict keep --hypothesis 'Refine: request'",
- reads={".factory/reviews/qa-latest.md"},
- writes={".factory/experiments/verdict.json"},
- )
-
- # R12: Archivist (async)
- nodes["archivist"] = AgentNode(
- id="archivist",
- role=AgentRole.ARCHIVIST,
- prompt_template="Archive refinement experiment results and learnings.",
- reads={".factory/experiments/verdict.json"},
- writes={".factory/archive/refinement.md"},
- blocking=False,
+ reads={"SPEC.md"},
)
edges = [
- # Refiner → CEO gate
- Edge(source="refiner", target="gate_refiner"),
- Edge(source="gate_refiner", target="gate_tier", condition=VerdictType.PROCEED),
- Edge(source="gate_refiner", target="refiner", condition=VerdictType.RELOOP),
- # Tier gate → begin (proceed) or halt (tier 3)
- Edge(source="gate_tier", target="begin", condition=VerdictType.PROCEED),
- # Begin → create issue → builder
- Edge(source="begin", target="create_issue"),
- Edge(source="create_issue", target="builder"),
- # Builder → QA → CEO gate
- Edge(source="builder", target="qa"),
- Edge(source="qa", target="gate_qa"),
- Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED),
- Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
- # Precheck → finalize → archivist
- Edge(source="gate_precheck", target="finalize", condition=VerdictType.PROCEED),
- Edge(source="finalize", target="archivist"),
+ # Extract → gate
+ Edge(source="extract", target="gate_extract"),
+ Edge(source="gate_extract", target="annotate", condition=VerdictType.PROCEED),
+ Edge(source="gate_extract", target="extract", condition=VerdictType.RELOOP),
+ # Annotate → gate
+ Edge(source="annotate", target="gate_annotate"),
+ Edge(source="gate_annotate", target="validate", condition=VerdictType.PROCEED),
+ Edge(source="gate_annotate", target="annotate", condition=VerdictType.RELOOP),
+ # Validate → gate
+ Edge(source="validate", target="gate_validate"),
]
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return state == ProjectState.HAS_FACTORY and bool(ctx.get("refine"))
-
return Workflow(
- name="refine",
+ name="spec-generate",
nodes=nodes,
edges=edges,
- start_node="refiner",
- trigger=trigger,
+ start_node="extract",
+ trigger=None,
)
-# ── W₉: Create Mode ──────────────────────────────────────────────
+# ── Registry ─────────────────────────────────────────────────────
+_BUILTIN_REGISTRY: dict[str, Any] | None = None
+
+
+def _get_builtin_registry() -> dict[str, Any]:
+ """Return the lazy-callable registry, building it on first access."""
+ global _BUILTIN_REGISTRY
+ if _BUILTIN_REGISTRY is not None:
+ return _BUILTIN_REGISTRY
+ _BUILTIN_REGISTRY = {
+ "design": design_workflow,
+ "create": create_workflow,
+ "spec-generate": spec_generate_workflow,
+ "swebench": lambda: __import__(
+ "factory.workflow.contributed.swebench", fromlist=["workflow"]
+ ).workflow(),
+ "legacybench": lambda: __import__(
+ "factory.workflow.contributed.legacybench", fromlist=["workflow"]
+ ).workflow(),
+ "featurebench": lambda: __import__(
+ "factory.workflow.contributed.featurebench", fromlist=["workflow"]
+ ).workflow(),
+ "programbench": lambda: __import__(
+ "factory.workflow.contributed.programbench", fromlist=["workflow"]
+ ).workflow(),
+ "terminalbench": lambda: __import__(
+ "factory.workflow.contributed.terminalbench", fromlist=["workflow"]
+ ).workflow(),
+ "tomswe": lambda: __import__(
+ "factory.workflow.contributed.tomswe", fromlist=["workflow"]
+ ).workflow(),
+ "salitrap": lambda: __import__(
+ "factory.workflow.contributed.salitrap", fromlist=["workflow"]
+ ).workflow(),
+ "swebenchifyhard": lambda: __import__(
+ "factory.workflow.contributed.swebenchifyhard", fromlist=["workflow"]
+ ).workflow(),
+ "mini-swebench": lambda: __import__(
+ "factory.workflow.contributed.mini_swebench", fromlist=["workflow"]
+ ).workflow(),
+ "devopsgym": lambda: __import__(
+ "factory.workflow.contributed.devopsgym", fromlist=["workflow"]
+ ).workflow(),
+ "outer-loop": lambda: __import__(
+ "factory.workflow.contributed.outer_loop", fromlist=["workflow"]
+ ).workflow(),
+ }
+ return _BUILTIN_REGISTRY
-def create_workflow() -> Workflow:
- """W₉: Create Mode — meta-mode for creating new factory modes.
- Takes a user description and produces a fully working workflow definition,
- SKILL.md, CLI wiring, and tests.
+def register_all() -> dict[str, Workflow]:
+ """Build and return all workflow definitions.
- Fork(3 researchers) → Join → CEO gate → Strategist → User gate →
- Archivist(async) → Builder → CEO gate → QA → gate_qa(max 3) →
- Precheck gate → Archivist(async)
+ Uses _get_builtin_registry() internally — each callable is invoked
+ to construct the Workflow object. Kept for backward compatibility.
"""
- nodes: dict[str, Any] = {}
- edges: list[Edge] = []
-
- # Fork: 3 parallel researchers
- nodes["fork_research"] = ForkNode(
- id="fork_research",
- targets=["researcher_existing", "researcher_intent", "researcher_practices"],
- )
-
- nodes["researcher_existing"] = AgentNode(
- id="researcher_existing",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Existing workflow analysis. "
- "Read factory/workflow/definitions.py and analyze all existing workflow "
- "definitions (build, design, improve, research, meta, discover, review, refine). "
- "Document common patterns: node sequences, gate conventions, fork/join patterns, "
- "archivist placement, edge wiring, trigger functions, reads/writes declarations. "
- "Read factory/workflow/primitives.py for available node types and their fields. "
- "Read factory/workflow/skill_export.py for WORKFLOW_META format. "
- "Write findings to .factory/strategy/research-existing.md covering: "
- "node type usage patterns, common subgraphs (builder→gate→qa→gate loop), "
- "trigger function conventions, data flow patterns."
- ),
- writes={".factory/strategy/research-existing.md"},
- )
-
- nodes["researcher_intent"] = AgentNode(
- id="researcher_intent",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Mode description analysis. "
- "Read the user's mode description from the CEO task. "
- "Parse and structure it into a workflow specification: "
- "- Purpose and trigger conditions "
- "- Agent roles needed (which specialists) "
- "- Gate logic (user vs agent vs fn evaluators) "
- "- Data flow (what files are read/written) "
- "- Interactive vs headless requirements "
- "- Input format (text, file, drawing, flow) "
- "Write findings to .factory/strategy/research-intent.md covering: "
- "structured requirements, node candidates, suggested graph topology."
- ),
- writes={".factory/strategy/research-intent.md"},
- )
-
- nodes["researcher_practices"] = AgentNode(
- id="researcher_practices",
- role=AgentRole.RESEARCHER,
- prompt_template=(
- "Workflow design best practices. "
- "Search the web for workflow and pipeline design patterns relevant "
- "to the described mode. Look for: DAG design patterns, agent orchestration "
- "patterns, quality gate strategies, error recovery approaches. "
- "Check .factory/archive/ for lessons from past mode creation or workflow changes. "
- "Write findings to .factory/strategy/research-practices.md covering: "
- "relevant design patterns, pitfalls to avoid, testing strategies."
- ),
- writes={".factory/strategy/research-practices.md"},
- )
-
- # Join
- nodes["join_research"] = JoinNode(
- id="join_research",
- sources=["researcher_existing", "researcher_intent", "researcher_practices"],
- reads={
- ".factory/strategy/research-existing.md",
- ".factory/strategy/research-intent.md",
- ".factory/strategy/research-practices.md",
- },
- writes={".factory/strategy/research-combined.md"},
- )
-
- # CEO gate on research quality
- nodes["gate_research"] = GateNode(
- id="gate_research",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Are the existing workflow patterns well-documented? "
- "Is the user's intent clearly structured into workflow requirements? "
- "Are best practices relevant to this type of mode? Any gaps?"
- ),
- reads={".factory/strategy/research-combined.md"},
- )
-
- # Strategist synthesizes workflow specification
- nodes["strategist"] = AgentNode(
- id="strategist",
- role=AgentRole.STRATEGIST,
- prompt_template=(
- "Synthesize a complete workflow specification for a new factory mode. "
- "Read ALL tagged research files at .factory/strategy/research-*.md. "
- "Produce a complete specification including: "
- "1) Python code for the workflow function (nodes dict, edges list, trigger) "
- "2) WORKFLOW_META entry (description, argument_hint) "
- "3) CLI wiring changes (build_parser mode choices, cmd_ceo routing, _build_ceo_task section) "
- "4) Test cases (graph validation, skill export, trigger function, registration) "
- "5) Node details: for each node, specify id, type, role, prompt_template, reads, writes "
- "6) Edge details: for each edge, specify source, target, condition "
- "7) Interactive vs headless behavior "
- "Follow conventions from existing workflows — use the same patterns for "
- "builder→gate→QA→gate loops, archivist placement, and research forks. "
- "Write the specification to .factory/strategy/current.md."
- ),
- reads={".factory/strategy/research-combined.md"},
- writes={".factory/strategy/current.md"},
- )
-
- # User gate for workflow spec approval — interactive
- nodes["gate_strategy"] = GateNode(
- id="gate_strategy",
- evaluator_type="user",
- reads={".factory/strategy/current.md"},
- )
-
- # Archivist (async, non-blocking)
- nodes["archivist_plan"] = AgentNode(
- id="archivist_plan",
- role=AgentRole.ARCHIVIST,
- prompt_template="Archive the approved workflow specification for the new mode.",
- reads={".factory/strategy/current.md"},
- writes={".factory/archive/create-plan.md"},
- blocking=False,
- )
-
- # Builder implements everything
- nodes["builder"] = AgentNode(
- id="builder",
- role=AgentRole.BUILDER,
- prompt_template=(
- "Implement the new factory mode from the approved workflow specification. "
- "Read the approved spec at .factory/strategy/current.md. "
- "Read CLAUDE.md for project conventions. "
- "Implementation checklist: "
- "1) Add the workflow function to factory/workflow/definitions.py "
- "2) Register it in register_all() "
- "3) Add WORKFLOW_META entry in factory/workflow/skill_export.py "
- "4) Wire --mode in factory/cli.py (build_parser, cmd_ceo, _build_ceo_task) "
- "5) Run factory workflow validate <name> to verify the graph "
- "6) Run factory workflow export-skills to generate the SKILL.md "
- "7) Write tests in tests/ "
- "8) Run pytest and ruff check to verify "
- "Commit changes and open a draft PR."
- ),
- reads={".factory/strategy/current.md"},
- writes={".factory/reviews/builder-latest.md"},
- )
-
- # CEO gate on build
- nodes["gate_build"] = GateNode(
- id="gate_build",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Read builder output and PR diff. Does work match the approved spec? "
- "Verify: workflow function exists, registered in register_all(), "
- "WORKFLOW_META entry added, CLI wiring complete, tests written. "
- "REDIRECT if any component is missing."
- ),
- reads={".factory/reviews/builder-latest.md"},
- )
-
- # QA verification
- nodes["qa"] = AgentNode(
- id="qa",
- role=AgentRole.QA,
- prompt_template=(
- "Verify the new factory mode end-to-end. "
- "1. Health Check — run pytest, ruff check, mypy. Report results. "
- "2. Code Review — read PR diff, evaluate correctness, architecture, "
- "edge cases, security. Verify workflow graph validates. "
- "3. Adversarial QA — actually test the new mode: "
- " - Run: factory workflow validate <name> "
- " - Run: factory workflow show <name> "
- " - Run: factory workflow export-skills --verify "
- " - Verify SKILL.md was generated under skills/workflow-<name>/ "
- " - Check CLI recognizes --mode <name> (factory ceo --help) "
- " - Check the workflow handles both interactive and headless paths "
- "Write results to .factory/reviews/qa-latest.md"
- ),
- reads={".factory/reviews/builder-latest.md"},
- writes={".factory/reviews/qa-latest.md"},
- )
-
- # CEO gate on QA (max 3 iterations)
- nodes["gate_qa"] = GateNode(
- id="gate_qa",
- evaluator_type="agent",
- evaluator_role=AgentRole.CEO,
- gate_prompt=(
- "Review QA results for the new mode. PROCEED if all checks pass: "
- "workflow validates, SKILL.md generated, tests pass, CLI recognizes mode. "
- "RELOOP to builder (max 3 iterations) if issues found."
- ),
- reads={".factory/reviews/qa-latest.md"},
- )
-
- # Precheck gate
- nodes["gate_precheck"] = GateNode(
- id="gate_precheck",
- evaluator_type="fn",
- evaluator_command="factory precheck {project_path} --score-before 0 --score-after 0",
- reads={".factory/reviews/qa-latest.md"},
- )
-
- # Archivist (async)
- nodes["archivist_build"] = AgentNode(
- id="archivist_build",
- role=AgentRole.ARCHIVIST,
- prompt_template="Archive the new mode build results and learnings.",
- reads={".factory/reviews/qa-latest.md"},
- writes={".factory/archive/create-build.md"},
- blocking=False,
- )
-
- # Edges
- edges = [
- # Fork to researchers
- Edge(source="fork_research", target="researcher_existing"),
- Edge(source="fork_research", target="researcher_intent"),
- Edge(source="fork_research", target="researcher_practices"),
- # Researchers to join
- Edge(source="researcher_existing", target="join_research"),
- Edge(source="researcher_intent", target="join_research"),
- Edge(source="researcher_practices", target="join_research"),
- # Join → research gate
- Edge(source="join_research", target="gate_research"),
- # Research gate
- Edge(source="gate_research", target="strategist", condition=VerdictType.PROCEED),
- Edge(source="gate_research", target="fork_research", condition=VerdictType.RELOOP),
- # Strategist → user gate
- Edge(source="strategist", target="gate_strategy"),
- # User gate
- Edge(source="gate_strategy", target="archivist_plan", condition=VerdictType.PROCEED),
- Edge(source="gate_strategy", target="strategist", condition=VerdictType.RELOOP),
- # Archivist → builder
- Edge(source="archivist_plan", target="builder"),
- # Builder → build gate
- Edge(source="builder", target="gate_build"),
- # Build gate
- Edge(source="gate_build", target="qa", condition=VerdictType.PROCEED),
- Edge(source="gate_build", target="builder", condition=VerdictType.RELOOP),
- # QA → gate_qa
- Edge(source="qa", target="gate_qa"),
- # gate_qa
- Edge(source="gate_qa", target="gate_precheck", condition=VerdictType.PROCEED),
- Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
- # Precheck → archivist
- Edge(source="gate_precheck", target="archivist_build", condition=VerdictType.PROCEED),
- ]
-
- def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
- return ctx.get("mode") == "create"
-
- return Workflow(
- name="create",
- nodes=nodes,
- edges=edges,
- start_node="fork_research",
- trigger=trigger,
- )
-
-
-# ── Registry ─────────────────────────────────────────────────────
-
-
-def register_all() -> dict[str, Workflow]:
- """Build and return all 9 workflow definitions."""
- return {
- "build": build_workflow(),
- "design": design_workflow(),
- "discover": discover_workflow(),
- "review": review_workflow(),
- "improve": improve_workflow(),
- "research": research_workflow(),
- "meta": meta_workflow(),
- "refine": refine_workflow(),
- "create": create_workflow(),
- }
+ registry = _get_builtin_registry()
+ return {name: fn() for name, fn in registry.items()}
diff --git a/factory/workflow/executor.py b/factory/workflow/executor.py
index 05096fd4b..7f7219c6d 100644
--- a/factory/workflow/executor.py
+++ b/factory/workflow/executor.py
@@ -30,8 +30,11 @@
ForkNode,
GateNode,
JoinNode,
+ LLMNode,
NodeType,
+ SelectionNode,
Study,
+ SubgraphForkNode,
Verdict,
VerdictType,
Workflow,
@@ -80,11 +83,13 @@ def __init__(
agent_pool: dict[str, AgentConfig] | None = None,
*,
dry_run: bool = False,
+ auto_approve: bool = False,
) -> None:
self.workflow = workflow
self.project_path = project_path
self.agent_pool = agent_pool or {}
self.dry_run = dry_run
+ self.auto_approve = auto_approve
self.run_id = uuid.uuid4().hex[:12]
self.completed_files: set[str] = set()
self.node_context: dict[str, str] = {}
@@ -129,6 +134,27 @@ async def execute(self) -> ExecutionResult:
self.result.duration_ms = elapsed
self.result.completed_files = set(self.completed_files)
+ # Timing summary: extract per-node durations from completed events
+ node_timings: list[dict[str, Any]] = []
+ for ev in self.result.events:
+ if ev.get("type") == "node.completed" and "duration_ms" in ev:
+ node_timings.append({
+ "id": ev.get("node_id", ""),
+ "type": ev.get("node_type", ""),
+ "duration_ms": round(ev["duration_ms"], 1),
+ })
+ node_timings.sort(key=lambda n: n["duration_ms"], reverse=True)
+ node_total_ms = sum(n["duration_ms"] for n in node_timings)
+ log.info(
+ "workflow.timing_summary",
+ workflow=self.workflow.name,
+ run_id=self.run_id,
+ total_ms=round(elapsed, 1),
+ node_count=len(node_timings),
+ nodes=node_timings,
+ overhead_ms=round(elapsed - node_total_ms, 1),
+ )
+
if self.result.halted:
self._emit(
"workflow.halted",
@@ -167,10 +193,18 @@ async def _execute_from(self, node_id: str) -> None:
if self.result.halted:
return
+ if isinstance(node, SubgraphForkNode):
+ await self._execute_subgraph_fork(node)
+ return
+
if isinstance(node, ForkNode):
await self._execute_fork(node)
return
+ if isinstance(node, SelectionNode):
+ await self._execute_selection(node)
+ return
+
if isinstance(node, JoinNode):
self.result.nodes_executed += 1
self.completed_files |= node.writes
@@ -450,6 +484,300 @@ async def run_branch(target_id: str) -> None:
if next_id:
await self._execute_from(next_id)
+ async def _execute_subgraph_fork(self, node: SubgraphForkNode) -> None:
+ """Execute N copies of a subgraph in parallel, each in an isolated worktree.
+
+ Each branch gets an independent WorkflowExecutor with its own state,
+ running against a separate git worktree branching from the same commit.
+ """
+ import subprocess as sp
+
+ from factory.worktree import create_experiment_worktree
+
+ self.result.nodes_executed += 1
+
+ self._emit(
+ "node.started",
+ NodeStarted(
+ workflow_name=self.workflow.name,
+ run_id=self.run_id,
+ node_id=node.id,
+ node_type="SubgraphForkNode",
+ ),
+ )
+
+ start = time.monotonic()
+
+ # Resolve base commit for all branches
+ if self.dry_run:
+ base_commit = "0" * 40
+ else:
+ result = sp.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=self.project_path,
+ capture_output=True,
+ text=True,
+ check=True,
+ )
+ base_commit = result.stdout.strip()
+
+ # Parse hypotheses from strategist output to determine branch count
+ strategy_file = self.project_path / ".factory" / "strategy" / "current.md"
+ hypotheses = _parse_hypotheses(strategy_file) if strategy_file.exists() else []
+ branch_count = min(len(hypotheses), node.parallelism) if hypotheses else node.parallelism
+
+ if branch_count < 1:
+ branch_count = 1
+
+ # Collect subgraph node IDs by walking edges from entry to exit
+ subgraph_ids = _collect_subgraph_nodes(
+ self.workflow, node.subgraph_entry, node.subgraph_exit,
+ )
+ sub_workflow = self.workflow.subgraph(
+ subgraph_ids, name=f"{self.workflow.name}__branch", start_node=node.subgraph_entry,
+ )
+
+ branch_results: list[dict[str, Any]] = []
+ worktrees: list[tuple[Path, str, int]] = []
+
+ async def run_branch(idx: int) -> dict[str, Any]:
+ from factory.store import ExperimentStore
+
+ hypothesis = hypotheses[idx] if idx < len(hypotheses) else f"Hypothesis {idx + 1}"
+
+ if self.dry_run:
+ wt_path = self.project_path / ".factory-worktrees" / f"exp-dry-{idx}"
+ branch_name = f"factory/exp-dry-{idx}"
+ exp_id = idx + 1
+ else:
+ store = ExperimentStore(self.project_path)
+ exp_id = await store.begin(hypothesis)
+ wt_path, branch_name = create_experiment_worktree(
+ self.project_path, exp_id, base_commit,
+ )
+ worktrees.append((wt_path, branch_name, exp_id))
+
+ branch_executor = WorkflowExecutor(
+ sub_workflow.model_copy(deep=True),
+ wt_path if not self.dry_run else self.project_path,
+ agent_pool=self.agent_pool,
+ dry_run=self.dry_run,
+ )
+ branch_result = await branch_executor.execute()
+
+ return {
+ "exp_id": exp_id,
+ "hypothesis": hypothesis,
+ "worktree_path": str(wt_path),
+ "branch": branch_name,
+ "success": branch_result.success,
+ "halted": branch_result.halted,
+ "halt_reason": branch_result.halt_reason,
+ "nodes_executed": branch_result.nodes_executed,
+ "node_outputs": branch_result.node_outputs,
+ }
+
+ sem = asyncio.Semaphore(node.parallelism)
+
+ async def throttled_branch(idx: int) -> dict[str, Any]:
+ async with sem:
+ return await run_branch(idx)
+
+ tasks = [throttled_branch(i) for i in range(branch_count)]
+ results = await asyncio.gather(*tasks, return_exceptions=True)
+
+ for r in results:
+ if isinstance(r, BaseException):
+ log.warning("subgraph_branch_failed", error=str(r))
+ branch_results.append({
+ "success": False, "halted": True, "halt_reason": str(r),
+ })
+ else:
+ branch_results.append(r) # type: ignore[arg-type]
+
+ elapsed = (time.monotonic() - start) * 1000
+ self.result.node_outputs[node.id] = json.dumps(branch_results)
+ self.completed_files |= node.writes
+
+ self._emit(
+ "node.completed",
+ NodeCompleted(
+ workflow_name=self.workflow.name,
+ run_id=self.run_id,
+ node_id=node.id,
+ node_type="SubgraphForkNode",
+ files_written=sorted(node.writes),
+ duration_ms=elapsed,
+ ),
+ )
+
+ next_id = self._next_unconditional(node.id)
+ if next_id:
+ await self._execute_from(next_id)
+
+ async def _execute_selection(self, node: SelectionNode) -> None:
+ """Compare parallel experiment results and select the best."""
+ import subprocess as sp
+
+ from factory.worktree import remove_worktree
+
+ self.result.nodes_executed += 1
+
+ self._emit(
+ "node.started",
+ NodeStarted(
+ workflow_name=self.workflow.name,
+ run_id=self.run_id,
+ node_id=node.id,
+ node_type="SelectionNode",
+ ),
+ )
+
+ start = time.monotonic()
+
+ # Find the SubgraphForkNode's output (branch results)
+ fork_output = ""
+ for nid, output in self.result.node_outputs.items():
+ try:
+ parsed = json.loads(output)
+ if isinstance(parsed, list) and parsed and "exp_id" in parsed[0]:
+ fork_output = output
+ break
+ except (json.JSONDecodeError, TypeError, KeyError):
+ continue
+
+ if self.dry_run or not fork_output:
+ selection_result: dict[str, Any] = {"strategy": node.strategy, "winner": None, "reason": "dry-run"}
+ self.result.node_outputs[node.id] = json.dumps(selection_result)
+ self.completed_files |= node.writes
+ elapsed = (time.monotonic() - start) * 1000
+ self._emit(
+ "node.completed",
+ NodeCompleted(
+ workflow_name=self.workflow.name,
+ run_id=self.run_id,
+ node_id=node.id,
+ node_type="SelectionNode",
+ files_written=sorted(node.writes),
+ duration_ms=elapsed,
+ ),
+ )
+ next_id = self._next_unconditional(node.id)
+ if next_id:
+ await self._execute_from(next_id)
+ return
+
+ branches: list[dict[str, Any]] = json.loads(fork_output)
+ successful = [b for b in branches if b.get("success")]
+
+ if not successful:
+ self.result.halted = True
+ self.result.halt_reason = "all parallel experiment branches failed"
+ return
+
+ # best_score: read eval results from each worktree
+ best: dict[str, Any] | None = None
+ best_score = -1.0
+
+ for branch in successful:
+ wt_path = Path(branch["worktree_path"])
+ eval_file = wt_path / ".factory" / "last_eval.json"
+ score = 0.0
+ if eval_file.exists():
+ try:
+ data = json.loads(eval_file.read_text())
+ score = float(data.get("total", data.get("score", 0.0)))
+ except (json.JSONDecodeError, TypeError, ValueError):
+ pass
+
+ branch["score"] = score
+ if score > best_score:
+ best_score = score
+ best = branch
+
+ if not best:
+ best = successful[0]
+
+ # Merge winner branch into baseline
+ winner_branch = best["branch"]
+ try:
+ sp.run(
+ ["git", "merge", winner_branch, "--no-edit", "-m",
+ f"Merge parallel experiment winner (exp {best['exp_id']})"],
+ cwd=self.project_path,
+ check=True,
+ capture_output=True,
+ )
+ except sp.CalledProcessError as exc:
+ log.error("selection_merge_failed", branch=winner_branch, error=str(exc))
+ self.result.halted = True
+ self.result.halt_reason = f"failed to merge winner branch {winner_branch}"
+ return
+
+ # Finalize losers as superseded, clean up all worktrees
+ from factory.store import ExperimentStore
+
+ store = ExperimentStore(self.project_path)
+ for branch in branches:
+ wt_path = Path(branch.get("worktree_path", ""))
+ branch_name = branch.get("branch", "")
+ exp_id = branch.get("exp_id")
+
+ if branch is not best and exp_id is not None:
+ from factory.models import ExperimentRecord
+ record = ExperimentRecord(
+ id=exp_id,
+ timestamp=__import__("datetime").datetime.now(tz=__import__("datetime").timezone.utc),
+ hypothesis=branch.get("hypothesis", ""),
+ change_summary="superseded by experiment " + str(best["exp_id"]),
+ issue_number=None,
+ pr_number=None,
+ score_before=None,
+ score_after=branch.get("score"),
+ delta=None,
+ verdict="superseded",
+ cost_usd=None,
+ notes="",
+ )
+ try:
+ await store.finalize(exp_id, record)
+ except Exception as exc:
+ log.warning("finalize_superseded_failed", exp_id=exp_id, error=str(exc))
+
+ if wt_path.exists() and branch_name:
+ try:
+ remove_worktree(self.project_path, wt_path, branch_name)
+ except Exception as exc:
+ log.warning("worktree_cleanup_failed", path=str(wt_path), error=str(exc))
+
+ selection_result = {
+ "strategy": node.strategy,
+ "winner_exp_id": best["exp_id"],
+ "winner_score": best.get("score", 0.0),
+ "winner_hypothesis": best.get("hypothesis", ""),
+ "total_branches": len(branches),
+ "successful_branches": len(successful),
+ }
+ self.result.node_outputs[node.id] = json.dumps(selection_result)
+ self.completed_files |= node.writes
+
+ elapsed = (time.monotonic() - start) * 1000
+ self._emit(
+ "node.completed",
+ NodeCompleted(
+ workflow_name=self.workflow.name,
+ run_id=self.run_id,
+ node_id=node.id,
+ node_type="SelectionNode",
+ files_written=sorted(node.writes),
+ duration_ms=elapsed,
+ ),
+ )
+
+ next_id = self._next_unconditional(node.id)
+ if next_id:
+ await self._execute_from(next_id)
+
async def _run_node(self, node: NodeType) -> str:
"""Execute a single node and return its output."""
if self.dry_run:
@@ -464,6 +792,9 @@ async def _run_node(self, node: NodeType) -> str:
if isinstance(node, AgentNode):
return await self._run_agent(node)
+ if isinstance(node, LLMNode):
+ return await self._run_llm(node)
+
return f"[unknown node type] {type(node).__name__}"
async def _run_study(self, node: Study) -> str:
@@ -484,7 +815,9 @@ async def _run_agent(self, node: AgentNode) -> str:
"""Invoke an agent via factory/agents/runner.py."""
from factory.agents.runner import invoke_agent
- task = node.prompt_template
+ task = node.prompt_template.replace(
+ "{project_path}", str(self.project_path),
+ )
context = self.node_context.get(node.id, "")
if context:
task = f"{task}\n\n{context}"
@@ -495,11 +828,18 @@ async def _run_agent(self, node: AgentNode) -> str:
if pool_entry:
model = pool_entry.model
+ timeout = node.timeout
+ if timeout is None:
+ pool_entry = self.agent_pool.get(node.role.value)
+ if pool_entry:
+ timeout = pool_entry.timeout
+
stdout, code = await invoke_agent(
node.role.value, # type: ignore[arg-type]
task,
self.project_path,
model=model or None,
+ timeout=float(timeout) if timeout is not None else 600.0,
)
if code != 0:
@@ -507,12 +847,44 @@ async def _run_agent(self, node: AgentNode) -> str:
return stdout
+ async def _run_llm(self, node: LLMNode) -> str:
+ """Run an LLMNode via direct API tool-use loop."""
+ from factory.workflow.llm_loop import run_llm_loop
+
+ context_parts: list[str] = []
+ for read_path in sorted(node.reads):
+ full_path = self.project_path / read_path
+ if full_path.exists():
+ context_parts.append(full_path.read_text())
+ gate_context = self.node_context.get(node.id, "")
+ if gate_context:
+ context_parts.append(gate_context)
+
+ output = await asyncio.wait_for(
+ run_llm_loop(
+ node, self.project_path,
+ instance_context="\n\n".join(context_parts),
+ ),
+ timeout=float(node.timeout),
+ )
+
+ output_path = self.project_path / ".factory" / "reviews" / "builder-latest.md"
+ if node.writes:
+ first_write = next(iter(node.writes))
+ output_path = self.project_path / first_write
+ output_path.parent.mkdir(parents=True, exist_ok=True)
+ output_path.write_text(output)
+
+ return output
+
async def _evaluate_gate(self, node: GateNode) -> Verdict:
"""Evaluate a gate and return a verdict."""
if self.dry_run:
return Verdict.proceed()
if node.evaluator_type == "user":
+ if self.auto_approve:
+ log.info("gate.auto_approved", gate_id=node.id, workflow=self.workflow.name)
return Verdict.proceed()
if node.evaluator_type == "fn":
@@ -525,7 +897,7 @@ async def _evaluate_gate(self, node: GateNode) -> Verdict:
return self._parse_fn_verdict(output, node.id)
except RuntimeError:
return Verdict.halt(reason=f"gate command failed: {cmd}")
- return Verdict.proceed()
+ return Verdict.halt(reason=f"gate '{node.id}' has no evaluator_command configured")
prompt = self._build_gate_prompt(node)
from factory.agents.runner import invoke_agent
@@ -607,7 +979,52 @@ def _parse_agent_verdict(self, output: str, gate_id: str) -> Verdict:
feedback = feedback_match.group(1) if feedback_match else "needs improvement"
return Verdict.reloop(target=target, feedback=feedback)
- return Verdict.proceed()
+ if text.startswith("PROCEED") or re.match(r"^PROCEED\b", text):
+ return Verdict.proceed()
+
+ first_line = ""
+ for line in lines:
+ if line.strip():
+ first_line = line.strip()
+ break
+
+ if first_line and first_line != last_line:
+ ft = first_line.upper()
+
+ if ft.startswith("HALT") or re.match(r"^HALT\b", ft):
+ reason_match = re.search(r'REASON="([^"]+)"', first_line, re.IGNORECASE)
+ reason = reason_match.group(1) if reason_match else "gate halted"
+ return Verdict.halt(reason=reason)
+
+ if ft.startswith("RELOOP") or re.match(r"^RELOOP\b", ft):
+ target_match = re.search(r'TARGET="([^"]+)"', first_line, re.IGNORECASE)
+ feedback_match = re.search(r'FEEDBACK="([^"]+)"', first_line, re.IGNORECASE)
+ target = target_match.group(1) if target_match else None
+
+ if target and target not in self.workflow.nodes:
+ matches = [nid for nid in self.workflow.nodes if target in nid]
+ if len(matches) == 1:
+ target = matches[0]
+ else:
+ target = self._next_conditional(gate_id, VerdictType.RELOOP)
+
+ if not target:
+ target = self._next_conditional(gate_id, VerdictType.RELOOP)
+ if not target:
+ return Verdict.halt(reason=f"RELOOP verdict from gate '{gate_id}' missing target and no RELOOP edge defined")
+ feedback = feedback_match.group(1) if feedback_match else "needs improvement"
+ return Verdict.reloop(target=target, feedback=feedback)
+
+ if ft.startswith("PROCEED") or re.match(r"^PROCEED\b", ft):
+ return Verdict.proceed()
+
+ return Verdict.halt(
+ reason=(
+ f"gate '{gate_id}' returned unparseable verdict "
+ f"(expected PROCEED | RELOOP target=... | HALT reason=...): "
+ f"{output.strip()[:200]}"
+ )
+ )
def _parse_fn_verdict(self, output: str, gate_id: str) -> Verdict:
"""Parse function output into a Verdict."""
@@ -624,15 +1041,26 @@ def _parse_fn_verdict(self, output: str, gate_id: str) -> Verdict:
except (json.JSONDecodeError, TypeError):
pass
- text_lower = text.lower()
- if "fail" in text_lower or "revert" in text_lower:
+ first_line = text.split("\n")[0].strip().lower()
+ if first_line.startswith("pass") or first_line.startswith("proceed"):
+ return Verdict.proceed()
+ if first_line.startswith("fail") or first_line.startswith("revert"):
return Verdict.halt(reason=f"precheck failed: {text[:200]}")
- if "reloop" in text_lower:
+ if first_line.startswith("reloop"):
target = self._next_conditional(gate_id, VerdictType.RELOOP)
+ raw_line = text.split("\n")[0].strip()
+ after_prefix = raw_line.split(":", 1)[1].strip() if ":" in raw_line else ""
+ feedback = after_prefix if after_prefix else "fn gate requested reloop"
if target:
- return Verdict.reloop(target=target, feedback="fn gate requested reloop")
+ return Verdict.reloop(target=target, feedback=feedback)
return Verdict.halt(reason="fn gate returned RELOOP but no RELOOP edge defined")
- return Verdict.proceed()
+ return Verdict.halt(
+ reason=(
+ f"gate '{gate_id}' returned unparseable verdict "
+ f"(expected pass | fail | revert | reloop | {{\"passed\": bool}}): "
+ f"{text[:200]}"
+ )
+ )
async def _run_shell(self, cmd: str) -> str:
"""Run a shell command and return stdout."""
@@ -700,3 +1128,61 @@ def _emit(self, event_type: str, event: Any) -> None:
emit_workflow_event(self.project_path, event_type, event)
except Exception:
log.debug("event_emission_failed", event_type=event_type)
+
+
+def _parse_hypotheses(strategy_file: Path) -> list[str]:
+ """Extract individual hypotheses from the strategist's current.md output."""
+ text = strategy_file.read_text()
+ hypotheses: list[str] = []
+ current: list[str] = []
+
+ for line in text.splitlines():
+ stripped = line.strip()
+ if stripped.startswith("## Hypothesis") or stripped.startswith("### Hypothesis"):
+ if current:
+ hypotheses.append("\n".join(current).strip())
+ current = []
+ current.append(stripped)
+ elif stripped.startswith("## ") and current:
+ hypotheses.append("\n".join(current).strip())
+ current = []
+ elif current:
+ current.append(line)
+
+ if current:
+ hypotheses.append("\n".join(current).strip())
+
+ if not hypotheses:
+ for line in text.splitlines():
+ stripped = line.strip()
+ if stripped.startswith("- **") or stripped.startswith("1. **"):
+ hypotheses.append(stripped.lstrip("- 0123456789.").strip())
+
+ return hypotheses
+
+
+def _collect_subgraph_nodes(
+ workflow: Workflow,
+ entry: str,
+ exit_node: str,
+) -> set[str]:
+ """Collect all node IDs on paths from entry to exit_node (inclusive)."""
+ edges_by_source: dict[str, list[str]] = {}
+ for edge in workflow.edges:
+ edges_by_source.setdefault(edge.source, []).append(edge.target)
+
+ # BFS from entry, stop at exit_node
+ visited: set[str] = set()
+ queue = [entry]
+ while queue:
+ nid = queue.pop(0)
+ if nid in visited:
+ continue
+ visited.add(nid)
+ if nid == exit_node:
+ continue
+ for target in edges_by_source.get(nid, []):
+ if target not in visited:
+ queue.append(target)
+
+ return visited
diff --git a/factory/workflow/guard.py b/factory/workflow/guard.py
new file mode 100644
index 000000000..724b85b03
--- /dev/null
+++ b/factory/workflow/guard.py
@@ -0,0 +1,63 @@
+"""Programmatic diff guard for verified skill generation.
+
+Compares templatized markdown (skeleton) against refined markdown
+(review agent output) and verifies structural integrity.
+
+Returns PROCEED if all checks pass, RELOOP if any structural change detected.
+"""
+
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass, field
+
+from factory.workflow.templates import _SLOT_PATTERN
+
+_ANNOTATION_PATTERN = re.compile(r"<!--.*?-->", re.DOTALL)
+
+
+@dataclass
+class GuardResult:
+ """Result of a structural guard check."""
+
+ verdict: str
+ violations: list[str] = field(default_factory=list)
+
+ @property
+ def passed(self) -> bool:
+ return self.verdict == "PROCEED"
+
+
+def check(skeleton: str, refined: str) -> GuardResult:
+ """Compare skeleton and refined templatized markdown for structural integrity.
+
+ Four checks:
+ 1. All text outside {{...}} markers is byte-identical
+ 2. All <!-- ... --> annotation comments unchanged
+ 3. Command structure preserved (slot names in commands unchanged)
+ 4. All slot names from skeleton present in refined — none added, none removed
+ """
+ violations: list[str] = []
+
+ skeleton_slots = set(name for name, _ in _SLOT_PATTERN.findall(skeleton))
+ refined_slots = set(name for name, _ in _SLOT_PATTERN.findall(refined))
+
+ added = refined_slots - skeleton_slots
+ removed = skeleton_slots - refined_slots
+ if added:
+ violations.append(f"Slots added: {', '.join(sorted(added))}")
+ if removed:
+ violations.append(f"Slots removed: {', '.join(sorted(removed))}")
+
+ skeleton_annotations = _ANNOTATION_PATTERN.findall(skeleton)
+ refined_annotations = _ANNOTATION_PATTERN.findall(refined)
+ if skeleton_annotations != refined_annotations:
+ violations.append("Annotation comments modified")
+
+ skeleton_stripped = _SLOT_PATTERN.sub("__SLOT__", skeleton)
+ refined_stripped = _SLOT_PATTERN.sub("__SLOT__", refined)
+ if skeleton_stripped != refined_stripped:
+ violations.append("Text outside slot markers was modified")
+
+ verdict = "PROCEED" if not violations else "RELOOP"
+ return GuardResult(verdict=verdict, violations=violations)
diff --git a/factory/workflow/lint.py b/factory/workflow/lint.py
new file mode 100644
index 000000000..d4055536c
--- /dev/null
+++ b/factory/workflow/lint.py
@@ -0,0 +1,90 @@
+"""Simple linter for contributed workflow directories."""
+
+from __future__ import annotations
+
+import importlib.util
+import types
+from dataclasses import dataclass
+from pathlib import Path
+
+
+@dataclass
+class LintIssue:
+ directory: str
+ check: str
+ message: str
+
+
+REQUIRED_FILES = ["__init__.py", "workflow.py", "README.md", "test_workflow.py"]
+
+SKIP_DIRS = {"__pycache__"}
+
+
+def lint_contributed(base_dir: Path) -> list[LintIssue]:
+ """Lint all contributed workflow directories under *base_dir*."""
+ issues: list[LintIssue] = []
+
+ if not base_dir.is_dir():
+ return issues
+
+ for entry in sorted(base_dir.iterdir()):
+ if not entry.is_dir() or entry.name in SKIP_DIRS:
+ continue
+ issues.extend(_lint_directory(entry))
+
+ return issues
+
+
+def _lint_directory(directory: Path) -> list[LintIssue]:
+ issues: list[LintIssue] = []
+ name = directory.name
+
+ for filename in REQUIRED_FILES:
+ if not (directory / filename).is_file():
+ issues.append(LintIssue(name, f"missing-{filename}", f"{filename} not found"))
+
+ workflow_path = directory / "workflow.py"
+ if not workflow_path.is_file():
+ return issues
+
+ mod = _load_module(workflow_path)
+ if mod is None:
+ issues.append(LintIssue(name, "load-error", "workflow.py failed to import"))
+ return issues
+
+ meta = getattr(mod, "meta", None)
+ if not isinstance(meta, dict):
+ issues.append(LintIssue(name, "missing-meta", "workflow.py has no module-level meta dict"))
+ else:
+ for key in ("name", "description"):
+ if key not in meta:
+ issues.append(LintIssue(name, f"meta-missing-{key}", f"meta dict missing '{key}'"))
+
+ workflow_fn = getattr(mod, "workflow", None)
+ if not callable(workflow_fn):
+ issues.append(LintIssue(name, "missing-workflow-fn", "workflow.py has no callable workflow()"))
+ return issues
+
+ try:
+ wf = workflow_fn()
+ except Exception as exc:
+ issues.append(LintIssue(name, "workflow-call-error", f"workflow() raised: {exc}"))
+ return issues
+
+ graph_issues = wf.validate_graph()
+ for gi in graph_issues:
+ issues.append(LintIssue(name, "graph-invalid", gi))
+
+ return issues
+
+
+def _load_module(path: Path) -> types.ModuleType | None:
+ try:
+ spec = importlib.util.spec_from_file_location(f"_lint_{path.parent.name}", path)
+ if spec is None or spec.loader is None:
+ return None
+ mod = importlib.util.module_from_spec(spec)
+ spec.loader.exec_module(mod)
+ return mod
+ except Exception:
+ return None
diff --git a/factory/workflow/llm_loop.py b/factory/workflow/llm_loop.py
new file mode 100644
index 000000000..0e4a48f6e
--- /dev/null
+++ b/factory/workflow/llm_loop.py
@@ -0,0 +1,162 @@
+"""Async tool-use loop for LLMNode — direct LLM API calls with tool execution."""
+from __future__ import annotations
+
+import asyncio
+import os
+from pathlib import Path
+from typing import Any
+
+import structlog
+
+from factory.workflow.primitives import LLMNode
+
+log = structlog.get_logger()
+
+
+def _build_client(node: LLMNode) -> Any:
+ if node.provider == "vertex":
+ from anthropic import AnthropicVertex
+ region = os.environ.get("CLOUD_ML_REGION", "us-east5")
+ if region != "global":
+ region = "global"
+ log.info("llm_loop.vertex_region_override", region=region)
+ return AnthropicVertex(
+ project_id=os.environ.get("ANTHROPIC_VERTEX_PROJECT_ID", ""),
+ region=region,
+ )
+ from anthropic import Anthropic
+ return Anthropic()
+
+
+_ALIASES = {
+ "haiku": "claude-haiku-4-5-20251001",
+ "sonnet": "claude-sonnet-4-5-20250929",
+ "opus": "claude-opus-4-6-20250904",
+}
+
+_VERTEX_ALIASES = {
+ "haiku": "claude-haiku-4-5",
+ "sonnet": "claude-sonnet-4-5",
+ "opus": "claude-opus-4-6",
+}
+
+
+def _resolve_model(model: str, provider: str = "anthropic") -> str:
+ aliases = _VERTEX_ALIASES if provider == "vertex" else _ALIASES
+ return aliases.get(model, model)
+
+
+def _tools_to_api_format(node: LLMNode) -> list[dict[str, Any]]:
+ return [
+ {
+ "name": t.name,
+ "description": t.description,
+ "input_schema": t.input_schema,
+ }
+ for t in node.tools
+ ]
+
+
+async def run_llm_loop(
+ node: LLMNode,
+ cwd: Path,
+ *,
+ instance_context: str = "",
+) -> str:
+ """Execute the LLM tool-use loop for an LLMNode. Returns final text output.
+
+ Also writes a trace log to {cwd}/.factory/reviews/llm-trace.log for
+ SkillOpt trace collection.
+ """
+ from factory.workflow.llm_tools import execute_tool
+
+ client = _build_client(node)
+ tool_map = {t.name: t for t in node.tools}
+ api_tools = _tools_to_api_format(node) if node.tools else []
+ model = _resolve_model(node.model, node.provider)
+
+ instance_prompt = node.instance_prompt
+ if "{instance_context}" in instance_prompt and instance_context:
+ instance_prompt = instance_prompt.replace("{instance_context}", instance_context)
+ elif instance_context:
+ instance_prompt = f"{instance_prompt}\n\n{instance_context}"
+
+ messages: list[dict[str, Any]] = [
+ {"role": "user", "content": instance_prompt},
+ ]
+
+ text_parts: list[str] = []
+ trace_log: list[str] = []
+
+ for turn in range(node.max_turns):
+ log.debug("llm_loop.turn", turn=turn, node=node.id, model=model)
+
+ create_kwargs: dict[str, Any] = {
+ "model": model,
+ "max_tokens": node.max_tokens,
+ "messages": messages,
+ }
+ if node.system_prompt:
+ create_kwargs["system"] = node.system_prompt
+ if api_tools:
+ create_kwargs["tools"] = api_tools
+ if node.temperature != 0.0:
+ create_kwargs["temperature"] = node.temperature
+
+ response = await asyncio.to_thread(client.messages.create, **create_kwargs)
+
+ has_tool_use = False
+ tool_results: list[dict[str, Any]] = []
+ turn_text: list[str] = []
+
+ for block in response.content:
+ if block.type == "text":
+ turn_text.append(block.text)
+ trace_log.append(f"[assistant] {block.text}")
+ for seq in node.stop_sequences:
+ if seq in block.text:
+ text_parts.extend(turn_text)
+ log.info("llm_loop.stop_sequence", node=node.id, turn=turn)
+ return "\n".join(text_parts)
+
+ elif block.type == "tool_use":
+ has_tool_use = True
+ if block.name not in tool_map:
+ tool_results.append({
+ "type": "tool_result",
+ "tool_use_id": block.id,
+ "content": f"Unknown tool: {block.name}",
+ "is_error": True,
+ })
+ continue
+
+ cmd_str = str(block.input.get('command', ''))
+ trace_log.append(f"[{block.name}] {cmd_str}")
+ result = await execute_tool(
+ block.name, block.input, tool_map[block.name], cwd,
+ )
+ trace_log.append(f"[output] {result}")
+ tool_results.append({
+ "type": "tool_result",
+ "tool_use_id": block.id,
+ "content": result,
+ })
+
+ messages.append({"role": "assistant", "content": response.content})
+ text_parts.extend(turn_text)
+
+ if not has_tool_use:
+ break
+
+ messages.append({"role": "user", "content": tool_results})
+
+ log.info("llm_loop.finished", node=node.id, turns=turn + 1)
+
+ for trace_dir in [Path("/logs/agent"), cwd / ".factory" / "reviews"]:
+ try:
+ trace_dir.mkdir(parents=True, exist_ok=True)
+ (trace_dir / "llm-trace.log").write_text("\n".join(trace_log))
+ except OSError:
+ pass
+
+ return "\n".join(text_parts)
diff --git a/factory/workflow/llm_tools.py b/factory/workflow/llm_tools.py
new file mode 100644
index 000000000..e55978810
--- /dev/null
+++ b/factory/workflow/llm_tools.py
@@ -0,0 +1,138 @@
+"""Tool execution dispatch for LLMNode tool-use loops."""
+from __future__ import annotations
+
+import asyncio
+from pathlib import Path
+from typing import Any
+
+import structlog
+
+from factory.workflow.primitives import ToolDef
+
+log = structlog.get_logger()
+
+BASH_TOOL = ToolDef(
+ name="bash",
+ description="Execute a bash command. Returns stdout and stderr combined.",
+ input_schema={
+ "type": "object",
+ "properties": {
+ "command": {
+ "type": "string",
+ "description": "The bash command to run",
+ },
+ },
+ "required": ["command"],
+ },
+ executor="bash",
+)
+
+FILE_READ_TOOL = ToolDef(
+ name="file_read",
+ description="Read a file's contents.",
+ input_schema={
+ "type": "object",
+ "properties": {"path": {"type": "string"}},
+ "required": ["path"],
+ },
+ executor="file_read",
+)
+
+FILE_EDIT_TOOL = ToolDef(
+ name="file_edit",
+ description="Replace a string in a file.",
+ input_schema={
+ "type": "object",
+ "properties": {
+ "path": {"type": "string"},
+ "old_string": {"type": "string"},
+ "new_string": {"type": "string"},
+ },
+ "required": ["path", "old_string", "new_string"],
+ },
+ executor="file_edit",
+)
+
+_MAX_OUTPUT = 100_000
+
+
+async def execute_tool(
+ tool_name: str,
+ tool_input: dict[str, Any],
+ tool_def: ToolDef,
+ cwd: Path,
+ *,
+ cmd_timeout: int = 300,
+) -> str:
+ executor = tool_def.executor
+ if executor == "bash":
+ return await _exec_bash(tool_input.get("command", ""), cwd, cmd_timeout)
+ if executor == "file_read":
+ return _exec_file_read(tool_input.get("path", ""), cwd)
+ if executor == "file_write":
+ return _exec_file_write(
+ tool_input.get("path", ""),
+ tool_input.get("content", ""),
+ cwd,
+ )
+ if executor == "file_edit":
+ return _exec_file_edit(
+ tool_input.get("path", ""),
+ tool_input.get("old_string", ""),
+ tool_input.get("new_string", ""),
+ cwd,
+ )
+ return f"Unknown executor: {executor}"
+
+
+async def _exec_bash(command: str, cwd: Path, timeout: int) -> str:
+ try:
+ proc = await asyncio.create_subprocess_shell(
+ command,
+ stdout=asyncio.subprocess.PIPE,
+ stderr=asyncio.subprocess.STDOUT,
+ cwd=cwd,
+ )
+ stdout, _ = await asyncio.wait_for(proc.communicate(), timeout=timeout)
+ output = stdout.decode(errors="replace") if stdout else ""
+ if proc.returncode != 0:
+ output += f"\n[exit code: {proc.returncode}]"
+ except asyncio.TimeoutError:
+ proc.kill()
+ output = f"ERROR: command timed out after {timeout}s"
+ except Exception as e:
+ output = f"ERROR: {e}"
+
+ if len(output) > _MAX_OUTPUT:
+ half = _MAX_OUTPUT // 2
+ output = output[:half] + f"\n\n... [{len(output) - _MAX_OUTPUT} chars truncated] ...\n\n" + output[-half:]
+ return output
+
+
+def _exec_file_read(path: str, cwd: Path) -> str:
+ target = (cwd / path).resolve()
+ if not target.exists():
+ return f"File not found: {path}"
+ text = target.read_text(errors="replace")
+ if len(text) > _MAX_OUTPUT:
+ return text[:_MAX_OUTPUT] + f"\n... [{len(text) - _MAX_OUTPUT} chars truncated]"
+ return text
+
+
+def _exec_file_write(path: str, content: str, cwd: Path) -> str:
+ target = (cwd / path).resolve()
+ target.parent.mkdir(parents=True, exist_ok=True)
+ target.write_text(content)
+ return f"Wrote {len(content)} bytes to {path}"
+
+
+def _exec_file_edit(path: str, old: str, new: str, cwd: Path) -> str:
+ target = (cwd / path).resolve()
+ if not target.exists():
+ return f"File not found: {path}"
+ text = target.read_text()
+ if old not in text:
+ return f"old_string not found in {path}"
+ text = text.replace(old, new, 1)
+ target.write_text(text)
+ return f"Edited {path}"
diff --git a/factory/workflow/overwrite.py b/factory/workflow/overwrite.py
new file mode 100644
index 000000000..e9999b01c
--- /dev/null
+++ b/factory/workflow/overwrite.py
@@ -0,0 +1,176 @@
+"""Runtime workflow mutation via natural-language overwrite directives.
+
+The overwrite pipeline: parse directive -> strategist interprets as JSON
+mutations -> apply to Workflow -> validate -> generate session-local SKILL.md.
+"""
+
+from __future__ import annotations
+
+import json
+import shutil
+import tempfile
+from pathlib import Path
+
+import structlog
+
+from factory.workflow.primitives import Edge, Workflow
+
+log = structlog.get_logger()
+
+
+def apply_overwrite(
+ workflow: Workflow,
+ overwrite_text: str,
+ project_path: Path,
+) -> Workflow:
+ """Interpret a natural-language overwrite and apply it to a workflow.
+
+ Returns the mutated workflow. Raises on validation failure.
+ """
+ log.info("overwrite.start", workflow=workflow.name, text=overwrite_text[:80])
+ mutations = _interpret_overwrite(workflow, overwrite_text, project_path)
+ mutated = _apply_mutations(workflow, mutations)
+ issues = mutated.validate_graph()
+ if issues:
+ raise ValueError(f"Mutated workflow has validation errors: {issues}")
+ log.info("overwrite.done", mutations=len(mutations))
+ return mutated
+
+
+def _interpret_overwrite(
+ workflow: Workflow,
+ overwrite_text: str,
+ project_path: Path,
+) -> list[dict]:
+ """Call headless strategist to interpret overwrite text as structured mutations."""
+ import asyncio
+
+ from factory.agents.runner import invoke_agent
+
+ node_summary = json.dumps(
+ {nid: {"type": type(n).__name__, "fields": list(type(n).model_fields.keys())}
+ for nid, n in workflow.nodes.items()},
+ indent=2,
+ )
+ edge_summary = json.dumps(
+ [{"source": e.source, "target": e.target, "condition": e.condition.value if e.condition else None}
+ for e in workflow.edges],
+ indent=2,
+ )
+
+ task = f"""You are interpreting a workflow overwrite directive.
+
+## Current workflow: {workflow.name}
+
+### Nodes
+{node_summary}
+
+### Edges
+{edge_summary}
+
+## Overwrite directive
+{overwrite_text}
+
+## Instructions
+Return ONLY a JSON array of mutation operations. No markdown, no explanation.
+Each mutation is one of:
+
+- {{"op": "update_node", "node_id": "<id>", "field": "<field_name>", "value": "<new_value>"}}
+- {{"op": "remove_node", "node_id": "<id>"}}
+- {{"op": "add_edge", "source": "<node_id>", "target": "<node_id>"}}
+- {{"op": "remove_edge", "source": "<node_id>", "target": "<node_id>"}}
+
+For update_node, valid fields depend on the node type (e.g. prompt_template, timeout, model for AgentNode).
+Return the minimal set of mutations that implements the directive."""
+
+ stdout, _code = asyncio.run(invoke_agent(
+ role="strategist",
+ task=task,
+ project_path=project_path,
+ timeout=120,
+ model="sonnet",
+ ))
+ return _parse_mutations(stdout)
+
+
+def _parse_mutations(raw: str) -> list[dict]:
+ """Extract JSON mutation array from agent output."""
+ start = raw.find("[")
+ end = raw.rfind("]")
+ if start == -1 or end == -1:
+ raise ValueError(f"No JSON array found in strategist output: {raw[:200]}")
+ return json.loads(raw[start : end + 1])
+
+
+def _apply_mutations(workflow: Workflow, mutations: list[dict]) -> Workflow:
+ """Apply a list of mutations to a workflow, returning a new Workflow."""
+ nodes = {nid: n.model_copy(deep=True) for nid, n in workflow.nodes.items()}
+ edges = [e.model_copy(deep=True) for e in workflow.edges]
+
+ for mut in mutations:
+ op = mut["op"]
+
+ if op == "update_node":
+ node_id = mut["node_id"]
+ if node_id not in nodes:
+ raise KeyError(f"Node '{node_id}' not found in workflow")
+ field = mut["field"]
+ value = mut["value"]
+ node = nodes[node_id]
+ if field not in type(node).model_fields:
+ raise KeyError(f"Field '{field}' not found on node '{node_id}' ({type(node).__name__})")
+ updated = node.model_copy(update={field: value})
+ nodes[node_id] = updated
+
+ elif op == "remove_node":
+ node_id = mut["node_id"]
+ if node_id not in nodes:
+ raise KeyError(f"Node '{node_id}' not found in workflow")
+ del nodes[node_id]
+ edges = [e for e in edges if e.source != node_id and e.target != node_id]
+
+ elif op == "add_edge":
+ src, tgt = mut["source"], mut["target"]
+ edges.append(Edge(source=src, target=tgt))
+
+ elif op == "remove_edge":
+ src, tgt = mut["source"], mut["target"]
+ before = len(edges)
+ edges = [e for e in edges if not (e.source == src and e.target == tgt)]
+ if len(edges) == before:
+ log.warning("overwrite.edge_not_found", source=src, target=tgt)
+
+ else:
+ raise ValueError(f"Unknown mutation op: {op}")
+
+ start_node = workflow.start_node if workflow.start_node in nodes else next(iter(nodes))
+ return Workflow(
+ name=workflow.name,
+ nodes=nodes,
+ edges=edges,
+ start_node=start_node,
+ terminal=workflow.terminal,
+ trigger=workflow.trigger,
+ )
+
+
+def generate_session_skill(
+ workflow: Workflow,
+ mode: str,
+ wt_path: Path,
+) -> Path:
+ """Generate SKILL.md from a mutated workflow into the worktree's skills/ dir."""
+ from factory.workflow.skill_export import export_all_skills
+
+ with tempfile.TemporaryDirectory(prefix="factory-overwrite-") as tmp:
+ tmp_path = Path(tmp)
+ export_all_skills(tmp_path, {mode: workflow})
+ src_dir = tmp_path / f"workflow-{mode}"
+ if not src_dir.exists():
+ raise FileNotFoundError(f"Expected skill dir {src_dir} not generated")
+ dst_dir = wt_path / "skills" / f"workflow-{mode}"
+ dst_dir.mkdir(parents=True, exist_ok=True)
+ shutil.copytree(src_dir, dst_dir, dirs_exist_ok=True)
+ skill_md = dst_dir / "SKILL.md"
+ log.info("overwrite.skill_generated", path=str(skill_md))
+ return skill_md
diff --git a/factory/workflow/primitives.py b/factory/workflow/primitives.py
index 687372ac3..c8e497b5b 100644
--- a/factory/workflow/primitives.py
+++ b/factory/workflow/primitives.py
@@ -17,7 +17,9 @@ class AgentRole(str, Enum):
RESEARCHER = "researcher"
STRATEGIST = "strategist"
BUILDER = "builder"
- QA = "qa"
+ HEALTH_CHECKER = "health_checker"
+ CODE_REVIEWER = "code_reviewer"
+ ADVERSARIAL_TESTER = "adversarial_tester"
FAILURE_ANALYST = "failure_analyst"
CEO = "ceo"
ARCHIVIST = "archivist"
@@ -31,17 +33,22 @@ class AgentConfig(BaseModel):
role: AgentRole
model: str
+ timeout: int = 600
DEFAULT_AGENT_POOL: dict[str, AgentConfig] = {
- "researcher": AgentConfig(role=AgentRole.RESEARCHER, model="sonnet"),
- "strategist": AgentConfig(role=AgentRole.STRATEGIST, model="opus"),
- "builder": AgentConfig(role=AgentRole.BUILDER, model="opus"),
- "qa": AgentConfig(role=AgentRole.QA, model="opus"),
- "failure_analyst": AgentConfig(role=AgentRole.FAILURE_ANALYST, model="opus"),
- "ceo": AgentConfig(role=AgentRole.CEO, model="opus"),
- "archivist": AgentConfig(role=AgentRole.ARCHIVIST, model="haiku"),
- "refiner": AgentConfig(role=AgentRole.REFINER, model="opus"),
+ "researcher": AgentConfig(role=AgentRole.RESEARCHER, model="sonnet", timeout=600),
+ "strategist": AgentConfig(role=AgentRole.STRATEGIST, model="opus", timeout=600),
+ "builder": AgentConfig(role=AgentRole.BUILDER, model="opus", timeout=1200),
+ "health_checker": AgentConfig(role=AgentRole.HEALTH_CHECKER, model="opus", timeout=600),
+ "code_reviewer": AgentConfig(role=AgentRole.CODE_REVIEWER, model="opus", timeout=900),
+ "adversarial_tester": AgentConfig(
+ role=AgentRole.ADVERSARIAL_TESTER, model="opus", timeout=1800
+ ),
+ "failure_analyst": AgentConfig(role=AgentRole.FAILURE_ANALYST, model="opus", timeout=600),
+ "ceo": AgentConfig(role=AgentRole.CEO, model="opus", timeout=3600),
+ "archivist": AgentConfig(role=AgentRole.ARCHIVIST, model="haiku", timeout=300),
+ "refiner": AgentConfig(role=AgentRole.REFINER, model="opus", timeout=600),
}
@@ -107,6 +114,17 @@ class Node(BaseModel):
blocking: bool = True
+class ArtifactCheck(BaseModel):
+ """Validation rule for an agent-produced artifact."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ path: str
+ must_exist: bool = True
+ min_size: int = 0
+ must_contain: list[str] = Field(default_factory=list)
+
+
class AgentNode(Node):
"""Node that invokes a Claude Code agent."""
@@ -116,6 +134,9 @@ class AgentNode(Node):
model: str = ""
prompt_template: str = ""
tools: list[str] = Field(default_factory=list)
+ timeout: int | None = None
+ max_iterations: int = 1
+ post_checks: list[ArtifactCheck] = Field(default_factory=list)
class FnNode(Node):
@@ -125,6 +146,7 @@ class FnNode(Node):
command: str = ""
callable_name: str | None = None
+ notes: str = ""
class GateNode(Node):
@@ -154,6 +176,29 @@ class JoinNode(Node):
sources: list[str]
+class SubgraphForkNode(Node):
+ """Fan-out to N copies of a subgraph, each in an isolated worktree.
+
+ The executor creates independent WorkflowExecutor instances per branch,
+ each with its own worktree branching from the same base commit.
+ """
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ subgraph_entry: str
+ subgraph_exit: str
+ parallelism: int = 3
+ worktree_isolated: bool = True
+
+
+class SelectionNode(Node):
+ """Compare N completed experiment branches and select the best."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ strategy: Literal["best_score"] = "best_score"
+
+
class Study(FnNode):
"""Distinguished FnNode wrapping `factory study`."""
@@ -162,6 +207,39 @@ class Study(FnNode):
focus: str | None = None
+class ToolDef(BaseModel):
+ """A tool available to the LLM during a tool-use loop."""
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ name: str
+ description: str = ""
+ input_schema: dict[str, Any] = Field(default_factory=dict)
+ executor: Literal["bash", "file_read", "file_write", "file_edit"] = "bash"
+
+
+class LLMNode(Node):
+ """Node that makes direct LLM API calls with a configurable tool-use loop.
+
+ Unlike AgentNode (full CLI subprocess), this runs the API loop in-process
+ with a minimal, configurable tool set.
+ """
+
+ model_config = ConfigDict(strict=True, extra="forbid")
+
+ system_prompt: str = ""
+ instance_prompt: str = ""
+ model: str = "sonnet"
+ provider: Literal["anthropic", "vertex", "litellm"] = "anthropic"
+ max_tokens: int = 8192
+ max_turns: int = 50
+ temperature: float = 0.0
+ stop_sequences: list[str] = Field(default_factory=list)
+ tools: list[ToolDef] = Field(default_factory=list)
+ tool_choice: Literal["auto", "any", "none"] = "auto"
+ timeout: int = 600
+
+
# ── edges ────────────────────────────────────────────────────────
@@ -178,7 +256,9 @@ class Edge(BaseModel):
# ── workflow ─────────────────────────────────────────────────────
-NodeType = AgentNode | FnNode | GateNode | ForkNode | JoinNode | Study
+NodeType = (
+ AgentNode | FnNode | GateNode | ForkNode | JoinNode | SubgraphForkNode | SelectionNode | Study | LLMNode
+)
TriggerFn = Callable[[ProjectState, dict[str, Any]], bool]
@@ -193,13 +273,95 @@ class Workflow(BaseModel):
nodes: dict[str, NodeType]
edges: list[Edge]
start_node: str
+ terminal: bool = False
trigger: TriggerFn | None = Field(default=None, exclude=True)
def validate_graph(self) -> list[str]:
"""Validate workflow graph structure using NetworkX. Returns list of issues."""
from factory.workflow.validation import validate_workflow
+
return validate_workflow(self)
+ def subgraph(
+ self,
+ node_ids: set[str],
+ *,
+ name: str,
+ start_node: str,
+ ) -> Workflow:
+ """Extract a subgraph containing only the specified nodes.
+
+ Deep-copies requested nodes and filters edges to only those
+ where both source and target are in node_ids.
+ """
+ nodes: dict[str, NodeType] = {}
+ for nid in node_ids:
+ if nid not in self.nodes:
+ raise ValueError(f"node '{nid}' not found in workflow '{self.name}'")
+ nodes[nid] = self.nodes[nid].model_copy(deep=True)
+ edges = [
+ e.model_copy(deep=True)
+ for e in self.edges
+ if e.source in node_ids and e.target in node_ids
+ ]
+ return Workflow(name=name, nodes=nodes, edges=edges, start_node=start_node)
+
+ def to_dict(self) -> dict[str, Any]:
+ """Serialize the workflow to a JSON-safe dict."""
+ nodes_out: dict[str, Any] = {}
+ for nid, node in self.nodes.items():
+ d = node.model_dump(mode="json")
+ d["_type"] = type(node).__name__
+ nodes_out[nid] = d
+
+ edges_out = [e.model_dump(mode="json") for e in self.edges]
+
+ return {
+ "name": self.name,
+ "nodes": nodes_out,
+ "edges": edges_out,
+ "start_node": self.start_node,
+ "terminal": self.terminal,
+ }
+
+ @classmethod
+ def from_dict(cls, data: dict[str, Any]) -> Workflow:
+ """Reconstruct a Workflow from a dict produced by ``to_dict``."""
+ _NODE_TYPE_MAP: dict[str, type[Node]] = {
+ "AgentNode": AgentNode,
+ "FnNode": FnNode,
+ "GateNode": GateNode,
+ "ForkNode": ForkNode,
+ "JoinNode": JoinNode,
+ "SubgraphForkNode": SubgraphForkNode,
+ "SelectionNode": SelectionNode,
+ "Study": Study,
+ "LLMNode": LLMNode,
+ }
+ _SET_FIELDS = {"reads", "writes"}
+
+ nodes: dict[str, NodeType] = {}
+ for nid, node_data in data["nodes"].items():
+ node_data = dict(node_data)
+ type_name = node_data.pop("_type", "FnNode")
+ node_cls = _NODE_TYPE_MAP.get(type_name)
+ if node_cls is None:
+ raise ValueError(f"Unknown node type: {type_name}")
+ for fld in _SET_FIELDS:
+ if fld in node_data and isinstance(node_data[fld], list):
+ node_data[fld] = set(node_data[fld])
+ nodes[nid] = node_cls.model_validate(node_data, strict=False) # type: ignore[assignment]
+
+ edges = [Edge.model_validate(e, strict=False) for e in data["edges"]]
+
+ return cls(
+ name=data["name"],
+ nodes=nodes,
+ edges=edges,
+ start_node=data["start_node"],
+ terminal=data.get("terminal", False),
+ )
+
# ── factory ──────────────────────────────────────────────────────
@@ -212,12 +374,3 @@ class Factory(BaseModel):
agent_pool: dict[str, AgentConfig]
workflows: dict[str, Workflow]
config: FactoryConfig | None = None
-
- def select_workflow(
- self, state: ProjectState, context: dict[str, Any] | None = None,
- ) -> Workflow | None:
- ctx = context or {}
- for wf in self.workflows.values():
- if wf.trigger and wf.trigger(state, ctx):
- return wf
- return None
diff --git a/factory/workflow/registry.py b/factory/workflow/registry.py
new file mode 100644
index 000000000..490042f25
--- /dev/null
+++ b/factory/workflow/registry.py
@@ -0,0 +1,229 @@
+"""Workflow registry for discovering and loading contributed workflows.
+
+Follows the same search-path pattern as sdg_hub's FlowRegistry:
+register directories, auto-discover workflow files within them.
+
+A workflow file is any .py file containing:
+ - A `meta` dict with at least `name` and `description`
+ - A `workflow()` function returning a Workflow object
+"""
+
+from __future__ import annotations
+
+import importlib.util
+import sys
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+import structlog
+
+from factory.workflow.primitives import Workflow
+
+log = structlog.get_logger()
+
+
+@dataclass
+class WorkflowEntry:
+ """A discovered workflow in the registry."""
+
+ name: str
+ description: str
+ path: str
+ source: str # "builtin", "user", "project"
+ _workflow_fn: Any = field(default=None, repr=False)
+
+
+class WorkflowRegistry:
+ """Registry for discovering contributed workflows.
+
+ Search paths are scanned for .py files with a `meta` dict and
+ `workflow()` function. Built-in workflows from `definitions.py`
+ are always available as the lowest-priority source.
+ """
+
+ _entries: dict[str, WorkflowEntry] = {}
+ _search_paths: list[tuple[str, str]] = [] # (path, source_label)
+ _initialized: bool = False
+
+ @classmethod
+ def reset(cls) -> None:
+ """Reset registry state. Useful for testing."""
+ cls._entries.clear()
+ cls._search_paths.clear()
+ cls._initialized = False
+
+ @classmethod
+ def _ensure_initialized(cls) -> None:
+ """Register default search paths on first access."""
+ if cls._initialized:
+ return
+
+ # User-global workflows
+ user_dir = Path.home() / ".factory" / "workflows"
+ if user_dir.is_dir():
+ cls._search_paths.append((str(user_dir), "user"))
+ log.debug("workflow_registry.search_path", path=str(user_dir), source="user")
+
+ cls._initialized = True
+
+ @classmethod
+ def discover(cls, project_path: Path | None = None) -> dict[str, WorkflowEntry]:
+ """Discover all workflows from search paths + built-ins.
+
+ Parameters
+ ----------
+ project_path : Path, optional
+ If provided, also searches .factory/workflows/ in this project.
+
+ Returns
+ -------
+ dict[str, WorkflowEntry]
+ Name → entry mapping. Project shadows user shadows built-in.
+ """
+ cls._ensure_initialized()
+ cls._entries.clear()
+
+ # Layer 1: built-in workflows (lowest priority)
+ cls._load_builtins()
+
+ # Layer 2: user-global workflows
+ for search_path, source in cls._search_paths:
+ if source == "user":
+ cls._discover_in_directory(search_path, source)
+
+ # Layer 3: project-local workflows (highest priority)
+ if project_path:
+ project_wf_dir = project_path / ".factory" / "workflows"
+ if project_wf_dir.is_dir():
+ cls._discover_in_directory(str(project_wf_dir), "project")
+
+ # Layer 4: any explicitly registered paths
+ for search_path, source in cls._search_paths:
+ if source not in ("user",):
+ cls._discover_in_directory(search_path, source)
+
+ log.info("workflow_registry.discovered", count=len(cls._entries))
+ return cls._entries
+
+ @classmethod
+ def _load_builtins(cls) -> None:
+ """Load built-in workflows from definitions.py.
+
+ Uses _get_builtin_registry() so that contributed-workflow modules
+ are NOT imported at discovery time. The callable is stored but
+ NOT invoked — the Workflow object is only constructed when
+ get_workflow() is called for that specific name.
+ """
+ from factory.workflow.definitions import _get_builtin_registry
+
+ for name, fn in _get_builtin_registry().items():
+ cls._entries[name] = WorkflowEntry(
+ name=name,
+ description=_get_builtin_description(name),
+ path="<builtin>",
+ source="builtin",
+ _workflow_fn=fn,
+ )
+
+ @classmethod
+ def _discover_in_directory(cls, directory: str, source: str) -> None:
+ """Discover workflow files in a directory."""
+ path = Path(directory)
+ if not path.is_dir():
+ return
+
+ for py_file in sorted(path.glob("*.py")):
+ if py_file.name.startswith("_"):
+ continue
+ try:
+ meta, workflow_fn = _load_workflow_file(py_file)
+ name = meta["name"]
+ prev = cls._entries.get(name)
+ if prev and prev.source != "builtin":
+ log.warning(
+ "workflow_registry.shadow",
+ name=name,
+ new_source=source,
+ old_source=prev.source,
+ )
+ cls._entries[name] = WorkflowEntry(
+ name=name,
+ description=meta.get("description", ""),
+ path=str(py_file),
+ source=source,
+ _workflow_fn=workflow_fn,
+ )
+ log.debug(
+ "workflow_registry.loaded",
+ name=name,
+ path=str(py_file),
+ source=source,
+ )
+ except Exception as exc:
+ log.debug("workflow_registry.skip", path=str(py_file), reason=str(exc))
+
+ @classmethod
+ def get_workflow(cls, name: str, project_path: Path | None = None) -> Workflow | None:
+ """Get a workflow by name, discovering if needed.
+
+ Returns None if not found.
+ """
+ if not cls._entries:
+ cls.discover(project_path)
+
+ entry = cls._entries.get(name)
+ if entry is None:
+ return None
+
+ if entry._workflow_fn is None:
+ return None
+
+ return entry._workflow_fn()
+
+ @classmethod
+ def list_workflows(cls, project_path: Path | None = None) -> list[WorkflowEntry]:
+ """List all discovered workflows."""
+ if not cls._entries:
+ cls.discover(project_path)
+ return sorted(cls._entries.values(), key=lambda e: (e.source != "builtin", e.name))
+
+
+def _load_workflow_file(path: Path) -> tuple[dict[str, Any], Any]:
+ """Load a workflow .py file and extract meta + workflow function.
+
+ Raises ValueError if the file doesn't have the required exports.
+ """
+ spec = importlib.util.spec_from_file_location(f"factory_workflow_{path.stem}", path)
+ if spec is None or spec.loader is None:
+ raise ValueError(f"Cannot load module from {path}")
+
+ module = importlib.util.module_from_spec(spec)
+ sys.modules[spec.name] = module
+ try:
+ spec.loader.exec_module(module)
+ except Exception as exc:
+ sys.modules.pop(spec.name, None)
+ raise ValueError(f"Failed to load {path}: {exc}") from exc
+
+ meta = getattr(module, "meta", None)
+ workflow_fn = getattr(module, "workflow", None)
+
+ # Clean up sys.modules — we only need the extracted objects
+ sys.modules.pop(spec.name, None)
+
+ if not isinstance(meta, dict) or "name" not in meta:
+ raise ValueError(f"{path} missing 'meta' dict with 'name' key")
+
+ if not callable(workflow_fn):
+ raise ValueError(f"{path} missing 'workflow()' function")
+
+ return meta, workflow_fn
+
+
+def _get_builtin_description(name: str) -> str:
+ """Get description for a built-in workflow from WORKFLOW_META."""
+ from factory.workflow.skill_export import WORKFLOW_META
+
+ meta = WORKFLOW_META.get(name, {})
+ return str(meta.get("description", f"Built-in {name} workflow"))
diff --git a/factory/workflow/research.py b/factory/workflow/research.py
new file mode 100644
index 000000000..5eb90f419
--- /dev/null
+++ b/factory/workflow/research.py
@@ -0,0 +1,93 @@
+"""Research-standalone parallel research workflow.
+
+Runs the decomposed research pipeline (fork → 3 researchers → join → gate)
+as a standalone mode. Triggered via `factory workflow run research-standalone`
+or `factory ceo /path --mode research-standalone`.
+"""
+
+from typing import Any
+
+from factory.models import ProjectState
+from factory.workflow.definitions import ResearcherConfig, _research_subgraph
+from factory.workflow.primitives import AgentNode, Edge, Workflow
+
+meta = {
+ "name": "research-standalone",
+ "description": (
+ "Standalone parallel research pipeline — 3 researcher agents "
+ "(similar, techstack, pitfalls) forked in parallel, joined at a "
+ "barrier, then gated by the CEO for quality."
+ ),
+}
+
+
+def workflow() -> Workflow:
+ """Build the standalone research workflow."""
+ _DEFAULT_RESEARCHERS = [
+ ResearcherConfig(
+ id="similar",
+ prompt_template=(
+ "Similar projects research. "
+ "Search the web for similar projects, existing solutions, and prior art. "
+ "Analyze their strengths, weaknesses, and market positioning. "
+ "Check .factory/archive/ for prior knowledge on similar builds. "
+ "Write findings to .factory/strategy/research-similar.md covering: "
+ "similar projects found (with links), what they do well and what's missing, "
+ "differentiation opportunities."
+ ),
+ post_check_min_size=50,
+ ),
+ ResearcherConfig(
+ id="techstack",
+ prompt_template=(
+ "Tech stack research. "
+ "Identify the best technology stack for this type of project. "
+ "Find architecture patterns and best practices. "
+ "Evaluate framework/library options with trade-offs. "
+ "Write findings to .factory/strategy/research-techstack.md covering: "
+ "recommended tech stack with rationale, architecture patterns, "
+ "framework comparisons."
+ ),
+ post_check_min_size=50,
+ ),
+ ResearcherConfig(
+ id="pitfalls",
+ prompt_template=(
+ "Pitfalls and scope research. "
+ "Identify potential pitfalls and common mistakes for this type of project. "
+ "Research MVP scope best practices. "
+ "Check .factory/archive/ for lessons from past builds. "
+ "Write findings to .factory/strategy/research-pitfalls.md covering: "
+ "potential pitfalls to avoid, MVP scope recommendation, "
+ "lessons from similar past builds."
+ ),
+ post_check_min_size=50,
+ ),
+ ]
+
+ r_nodes, r_edges = _research_subgraph(
+ researchers=_DEFAULT_RESEARCHERS,
+ gate_prompt=(
+ "Is the research relevant? Does it cover the technology landscape adequately? "
+ "Check for gaps in similar projects, tech stack analysis, and pitfall coverage."
+ ),
+ )
+
+ for nid in ("researcher_similar", "researcher_techstack", "researcher_pitfalls"):
+ node = r_nodes[nid]
+ assert isinstance(node, AgentNode)
+ r_nodes[nid] = node.model_copy(update={"reads": set()})
+
+ nodes: dict[str, Any] = {**r_nodes}
+ edges: list[Edge] = [*r_edges]
+
+ def trigger(state: ProjectState, ctx: dict[str, Any]) -> bool:
+ return ctx.get("mode") == "research-standalone"
+
+ return Workflow(
+ name="research-standalone",
+ nodes=nodes,
+ edges=edges,
+ start_node="fork_research",
+ trigger=trigger,
+ )
diff --git a/factory/workflow/skill_export.py b/factory/workflow/skill_export.py
index 917375572..5cd8f00b8 100644
--- a/factory/workflow/skill_export.py
+++ b/factory/workflow/skill_export.py
@@ -4,6 +4,9 @@
topology — and generates standardized prose instructions. Two execution
formats from one source: flexible prose (SKILL.md) for interactive use,
rigid graph (WorkflowExecutor) for headless automation.
+
+The templatize path emits {{slot_name::default_value}} markers and
+<!-- --> annotation comments for the verified skill generation pipeline.
"""
from __future__ import annotations
@@ -16,15 +19,20 @@
from factory.workflow.primitives import (
AgentNode,
+ DEFAULT_AGENT_POOL,
Edge,
FnNode,
ForkNode,
GateNode,
JoinNode,
+ LLMNode,
+ SelectionNode,
Study,
+ SubgraphForkNode,
VerdictType,
Workflow,
)
+from factory.workflow.templates import emit
log = structlog.get_logger()
@@ -33,84 +41,48 @@
WORKFLOW_META: dict[str, dict[str, str | list[str]]] = {
- "build": {
- "description": (
- "Build a new project from scratch. Runs parallel research, strategy "
- "synthesis, implementation, QA verification, and archival. Use when "
- "the user says 'build X', 'create X', or the project state is no_repo "
- "or incomplete."
- ),
- "argument_hint": "<project_path> [idea or spec]",
- },
"design": {
"description": (
- "Interactive design mode — identical to build but with a user approval "
- "gate at strategy. Use when the user says 'design X', 'plan X', "
- "'let's discuss what to build', or wants to review the strategy before building."
- ),
- "argument_hint": "<project_path> [idea or spec]",
- },
- "improve": {
- "description": (
- "Improve an existing project through systematic experimentation. "
- "Runs study, research, hypothesis generation, build/eval loop, and archival. "
- "Use when the user says 'improve X', 'make X better', or the project "
- "state is has_factory."
- ),
- "argument_hint": "<project_path> [--focus <target>]",
- },
- "research": {
- "description": (
- "Research mode — extends improve with baseline measurement, failure analysis, "
- "research-command eval, and plateau detection. Use when the project has "
- "research_target configured and the user says 'research X' or wants "
- "metric-driven optimization."
+ "Interactive design mode — build with a user approval gate at strategy, "
+ "plus conditional study for existing projects. Use when the user says "
+ "'design X', 'plan X', 'let's discuss what to build', or wants to review "
+ "the strategy before building. Works for both new and existing projects. "
+ "Supports --from-plan to load an existing plan and skip research. "
+ "With --just-plan, runs plan-only (research + strategy + GitHub publish, NO implementation)."
),
- "argument_hint": "<project_path>",
+ "argument_hint": "<project_path> [idea or spec] [--from-plan <path_or_url>] [--just-plan]",
},
- "meta": {
+ "create": {
"description": (
- "Meta mode — cross-project insights, playbook evolution, and test pruning. "
- "Use when the user says 'meta', 'self-improve', 'evolve playbooks', "
- "or wants to improve the factory's own agents."
+ "Create mode — meta-mode for creating new factory modes or updating existing ones. "
+ "For new modes: takes a description and produces a fully working workflow definition, "
+ 'SKILL.md, CLI wiring, and tests. For updates: use --focus "mode_name: change description" '
+ 'to modify an existing registered mode (e.g. --focus "improve: add plateau detection"). '
+ "Use when the user says 'create a mode for X', 'update the improve mode', "
+ "'add a new workflow', or wants to extend/modify factory pipelines."
),
- "argument_hint": "<project_path>",
+ "argument_hint": '"mode description" or "existing_mode: change description"',
},
- "discover": {
+ "swebench": {
"description": (
- "Discover mode — auto-discover eval dimensions and generate the eval harness. "
- "Use when the project state is no_factory (repo exists but no factory setup). "
- "Runs factory discover, verifies the eval profile, and re-detects state."
+ "SWE-bench benchmark mode — minimal 4-node pipeline for solving "
+ "GitHub issues in containerized evaluation. Reads the task instruction, "
+ "fixes the bug, runs tests, and merges to main. No eval infrastructure, "
+ "no deep-QA, no research phases. Use when invoked with --mode swebench "
+ "inside a Harbor benchmark container."
),
- "argument_hint": "<project_path>",
+ "argument_hint": "<project_path> --prompt /tmp/task-instruction.md",
},
- "review": {
+ "outer-loop": {
"description": (
- "Review mode — verify eval dimensions work, create factory.md, and run baseline eval. "
- "Use when the project state is evals_pending_review. Tests all dimensions, marks "
- "the profile as reviewed, initializes the factory store, and runs E2E verification."
+ "Outer loop evolutionary search — evolve workflow DAGs against benchmarks. "
+ "Runs seed → evaluate → reflect → evolve → convergence gate with RELOOP. "
+ "Terminal mode — does not chain to other modes. "
+ "Use when the user says 'outer-loop', 'evolve workflows', or wants "
+ "evolutionary search for optimal workflow topologies."
),
"argument_hint": "<project_path>",
},
- "refine": {
- "description": (
- "Refine mode — lightweight pipeline for user-directed refinements. "
- "Use when the user says 'refine X', passes --refine, or wants a targeted change "
- "without the overhead of research and multi-hypothesis cycles. Classifies the request, "
- "implements with Builder, verifies with QA, and archives."
- ),
- "argument_hint": '<project_path> --refine "<request>"',
- },
- "create": {
- "description": (
- "Create mode — meta-mode for creating new factory modes from user descriptions. "
- "Takes a description (text, spec file, or flow) and produces a fully working "
- "workflow definition, SKILL.md, CLI wiring, and tests. Use when the user says "
- "'create a mode for X', 'add a new workflow', or wants to extend the factory "
- "with a custom pipeline."
- ),
- "argument_hint": '"mode description" or /path/to/spec.md',
- },
}
@@ -135,6 +107,20 @@ def _topological_sort(workflow: Workflow) -> list[str]:
adj[edge.source].append(edge.target)
in_degree[edge.target] = in_degree.get(edge.target, 0) + 1
+ # Add implicit edges for fork/join semantics so fork targets sort
+ # after the fork node and join sources sort before the join node.
+ for nid, node in workflow.nodes.items():
+ if type(node).__name__ == "ForkNode":
+ for t in node.targets: # type: ignore[union-attr]
+ if t in workflow.nodes:
+ adj[nid].append(t)
+ in_degree[t] = in_degree.get(t, 0) + 1
+ if type(node).__name__ == "JoinNode":
+ for s in node.sources: # type: ignore[union-attr]
+ if s in workflow.nodes:
+ adj[s].append(nid)
+ in_degree[nid] = in_degree.get(nid, 0) + 1
+
queue: deque[str] = deque()
for nid in workflow.nodes:
if in_degree.get(nid, 0) == 0:
@@ -165,16 +151,43 @@ def _topological_sort(workflow: Workflow) -> list[str]:
return ordered
+# ── edge helpers ──────────────────────────────────────────────────
+
+
+def _outgoing_edges(workflow: Workflow, node_id: str) -> list[Edge]:
+ """Return all edges originating from node_id."""
+ return [e for e in workflow.edges if e.source == node_id]
+
+
+def _format_edges(edges: list[Edge]) -> str:
+ """Format outgoing edges for annotation comments."""
+ if not edges:
+ return "none"
+ parts = []
+ for e in edges:
+ cond = e.condition.value if e.condition else "unconditional"
+ parts.append(f"{cond} → {e.target}")
+ return ", ".join(parts)
+
+
# ── node → instruction converters ──────────────────────────────
-def _agent_to_instruction(node: AgentNode, *, is_parallel: bool = False) -> str:
- """Convert an AgentNode to a CLI invocation instruction."""
+def _agent_to_instruction(
+ node: AgentNode,
+ workflow: Workflow,
+ *,
+ is_parallel: bool = False,
+) -> str:
+ """Convert an AgentNode to a CLI invocation instruction with template slots."""
role = node.role.value
- timeout = 600 if role != "archivist" else 300
+ pool_entry = DEFAULT_AGENT_POOL.get(role)
+ default_timeout = node.timeout or (pool_entry.timeout if pool_entry else 600)
model_flag = " --model haiku" if role == "archivist" else ""
- prompt = node.prompt_template or f"Execute {role} task for the project."
+ prompt = (node.prompt_template or f"Execute {role} task for the project.").replace(
+ "{project_path}", "$PROJECT_PATH",
+ )
if node.reads:
reads_str = ", ".join(sorted(node.reads))
@@ -189,60 +202,266 @@ def _agent_to_instruction(node: AgentNode, *, is_parallel: bool = False) -> str:
tag = node.id.replace("researcher_", "")
tag_flag = f" --review-tag {tag}"
+ timeout_slot = emit(f"timeout_{node.id}", str(default_timeout))
+ task_slot = emit(f"task_prompt_{node.id}", prompt)
+
cmd = (
- f'factory agent {role}{tag_flag} --task "{prompt}"'
- f' --project "$PROJECT_PATH" --timeout {timeout}{model_flag}{bg_suffix}'
+ f'factory agent {role}{tag_flag} --task "{task_slot}"'
+ f' --project "$PROJECT_PATH" --timeout {timeout_slot}{model_flag}{bg_suffix}'
)
- lines = [f"```bash\n{cmd}\n```"]
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+ reads_ann = ", ".join(sorted(node.reads)) if node.reads else "none"
+ writes_ann = ", ".join(sorted(node.writes)) if node.writes else "none"
+
+ annotations = [
+ f"<!-- node: AgentNode id={node.id} role={role} blocking={str(node.blocking).lower()} -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- writes: {writes_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ lines = [*annotations, "", f"```bash\n{cmd}\n```"]
if not node.blocking:
lines.append("*(fire-and-forget — CEO continues immediately)*")
+ elif not is_parallel and (node.writes or node.post_checks):
+ from factory.workflow.verification import compile_agent_verification
+
+ verify_script = compile_agent_verification(node)
+ if verify_script:
+ lines.append("")
+ lines.append(f"```bash\n{verify_script}\n```")
+ lines.append("*(harness verification — DO NOT SKIP)*")
return "\n".join(lines)
-def _fn_to_instruction(node: FnNode) -> str:
- """Convert an FnNode to a CLI command instruction."""
+def _llm_to_instruction(node: LLMNode, workflow: Workflow) -> str:
+ """Convert an LLMNode to a direct API call instruction with template slots."""
+ nid = node.id
+ out_edges = _outgoing_edges(workflow, node.id)
+ tools_str = ", ".join(t.name for t in node.tools) or "none"
+
+ system = emit(f"system_prompt_{nid}", node.system_prompt)
+ instance = emit(f"instance_prompt_{nid}", node.instance_prompt)
+
+ lines = [
+ f"<!-- node: LLMNode id={nid} model={node.model} provider={node.provider}"
+ f" tools=[{tools_str}] max_turns={node.max_turns} timeout={node.timeout} -->",
+ f"<!-- edges: {_format_edges(out_edges)} -->",
+ "",
+ f"**Model:** {node.model} | **Provider:** {node.provider}"
+ f" | **Tools:** {tools_str}"
+ f" | **Max turns:** {emit(f'max_turns_{nid}', str(node.max_turns))}"
+ f" | **Timeout:** {emit(f'timeout_{nid}', str(node.timeout))}s",
+ "",
+ "**System prompt:**",
+ system,
+ "",
+ "**Instance prompt:**",
+ instance,
+ ]
+
+ if node.reads:
+ lines.append("")
+ lines.append(f"**Reads:** {', '.join(sorted(node.reads))}")
+ if node.writes:
+ lines.append(f"**Writes:** {', '.join(sorted(node.writes))}")
+
+ return "\n".join(lines)
+
+
+def _fn_to_instruction(node: FnNode, workflow: Workflow) -> str:
+ """Convert an FnNode to a CLI command instruction with template slots."""
cmd = node.command.replace("{project_path}", "$PROJECT_PATH")
- return f"```bash\n{cmd}\n```"
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+ reads_ann = ", ".join(sorted(node.reads)) if node.reads else "none"
+ writes_ann = ", ".join(sorted(node.writes)) if node.writes else "none"
+
+ annotations = [
+ f"<!-- node: FnNode id={node.id} -->",
+ f"<!-- command: {node.command} -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- writes: {writes_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ prose = f"{node.notes}\n\n" if node.notes else ""
-def _study_to_instruction(node: Study) -> str:
+ if _has_template_placeholders(cmd):
+ finalize_slot = emit(f"finalize_command_{node.id}", cmd)
+ annotations.append(
+ "<!-- NOTE: command contains template values requiring CEO substitution -->"
+ )
+ lines = [*annotations, "", f"{prose}```bash\n{finalize_slot}\n```"]
+ else:
+ lines = [*annotations, "", f"{prose}```bash\n{cmd}\n```"]
+
+ return "\n".join(lines)
+
+
+def _has_template_placeholders(text: str) -> bool:
+ """Check if a command has $VARIABLE placeholders that need CEO substitution."""
+ placeholders = {
+ "$EXP_ID",
+ "$VERDICT",
+ "$HYPOTHESIS",
+ "$REQUEST",
+ "$PR_NUMBER",
+ "$SCORE_BEFORE",
+ "$SCORE_AFTER",
+ }
+ return any(p in text for p in placeholders)
+
+
+def _study_to_instruction(node: Study, workflow: Workflow) -> str:
"""Convert a Study node to a factory study instruction."""
cmd = node.command.replace("{project_path}", "$PROJECT_PATH")
focus = ""
if node.focus:
focus = f' --focus "{node.focus}"'
+
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+ writes_ann = ", ".join(sorted(node.writes)) if node.writes else "none"
+
+ annotations = [
+ f"<!-- node: Study id={node.id} -->",
+ f"<!-- command: {node.command} -->",
+ f"<!-- writes: {writes_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ focus_hint = ""
+ if not node.focus:
+ focus_hint = (
+ "\n\nIf your task includes a focus directive or focus topic, "
+ "pass it to the study command:\n"
+ '`factory study $PROJECT_PATH --focus "<your focus topic>"`'
+ )
+
return (
+ "\n".join(annotations) + "\n\n"
f"Run local study to gather observations:\n\n"
f"```bash\n{cmd}{focus}\n```\n\n"
f"Writes observations to `.factory/strategy/observations.md`."
+ f"{focus_hint}"
)
def _gate_to_checkpoint(
node: GateNode,
reloop_edges: list[Edge],
+ workflow: Workflow,
) -> str:
- """Convert a GateNode to a steering checkpoint."""
+ """Convert a GateNode to a steering checkpoint with template slots."""
gate_name = node.id.replace("gate_", "").replace("_", " ").title()
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+ reads_ann = ", ".join(sorted(node.reads)) if node.reads else "none"
+
+ halt_edges = [e for e in out_edges if e.condition == VerdictType.HALT]
+ proceed_edges = [e for e in out_edges if e.condition == VerdictType.PROCEED]
+
lines: list[str] = []
if node.evaluator_type == "user":
+ ann = [
+ f"<!-- gate: GateNode id={node.id} evaluator_type=user -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+ lines.extend(ann)
+ lines.append("")
lines.append(f"### Steering Point — {gate_name} (User Approval)")
lines.append("")
- lines.append("Present findings to the user. Wait for approval or feedback.")
- lines.append("- **Approve** → proceed to next step")
- lines.append("- **Feedback** → re-run the previous step with corrections")
+ lines.append(
+ "**This is a USER approval gate, NOT a CEO review gate. Do NOT self-approve.**"
+ )
+ lines.append("")
+ lines.append(
+ "Present the strategy/findings to the user by summarizing key points in your output."
+ )
+ lines.append(
+ 'Then explicitly ask the user: "Do you approve this plan, or do you have feedback?"'
+ )
+ lines.append("")
+ lines.append("**You MUST wait for the user's response before proceeding.**")
+ lines.append(
+ '- The user says "approve", "yes", "looks good", or similar → proceed to next step'
+ )
+ lines.append(
+ "- The user provides feedback or corrections → re-run the previous step incorporating their feedback"
+ )
+ lines.append(
+ "- Do NOT write a verdict file and auto-proceed — this gate requires human input"
+ )
elif node.evaluator_type == "fn":
+ evaluator_cmd = ""
+ if node.evaluator_command:
+ evaluator_cmd = node.evaluator_command
+ ann = [
+ f"<!-- gate: GateNode id={node.id} evaluator_type=fn -->",
+ f"<!-- evaluator_command: {evaluator_cmd} -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+ lines.extend(ann)
+ lines.append("")
lines.append(f"### Gate — {gate_name} (Automated)")
lines.append("")
+ lines.append(
+ "**MANDATORY:** Wait for the preceding agent to finish, then run this "
+ "check BEFORE spawning the next agent. Do NOT run agents in parallel "
+ "across this gate."
+ )
+ lines.append("")
if node.evaluator_command:
cmd = node.evaluator_command.replace("{project_path}", "$PROJECT_PATH")
lines.append(f"```bash\n{cmd}\n```")
+
+ if proceed_edges:
+ proceed_target = proceed_edges[0].target
+ lines.append(
+ f"\n- **PROCEED** (exit 0 / no FAIL in output) → continue to `{proceed_target}`"
+ )
+ if halt_edges:
+ halt_target = halt_edges[0].target
+ lines.append(
+ f"- **HALT** (exit non-zero / FAIL in output) → "
+ f"continue to `{halt_target}` instead."
+ )
+ elif reloop_edges:
+ reloop_target = reloop_edges[0].target
+ lines.append(
+ f"- **RELOOP** (exit non-zero / FAIL in output) → "
+ f"return to `{reloop_target}` for the next iteration."
+ )
+ else:
+ lines.append(
+ f"- **HALT** (exit non-zero / FAIL in output) → do NOT spawn `{proceed_target}`. "
+ "Skip to the next CEO review gate or finalize as error."
+ )
+ elif halt_edges:
+ halt_target = halt_edges[0].target
+ lines.append(
+ f"\n- **HALT** (exit non-zero / FAIL in output) → "
+ f"route to `{halt_target}` for error handling."
+ )
else:
+ gate_prompt_slot = emit(f"gate_prompt_{node.id}", node.gate_prompt)
+ ann = [
+ f"<!-- gate: GateNode id={node.id} evaluator_type=agent evaluator_role={node.evaluator_role.value if node.evaluator_role else 'CEO'} -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+ lines.extend(ann)
+ lines.append("")
lines.append(f"### CEO Review — {gate_name}")
lines.append("")
lines.append("Apply the CEO Review Gate protocol:")
@@ -250,8 +469,7 @@ def _gate_to_checkpoint(
if node.reads:
reads = ", ".join(f"`{r}`" for r in sorted(node.reads))
lines.append(f"2. Read artifacts: {reads}")
- if node.gate_prompt:
- lines.append(f"3. Assess: {node.gate_prompt}")
+ lines.append(f"3. Assess: {gate_prompt_slot}")
lines.append(
f"4. Write verdict to `.factory/reviews/ceo-verdict-{gate_name.lower().replace(' ', '-')}.md`"
)
@@ -260,33 +478,88 @@ def _gate_to_checkpoint(
lines.append("7. **ABORT** → log failure and skip to archival")
for edge in reloop_edges:
- max_iter = 3
- for e2 in reloop_edges:
- if e2.source == node.id and e2.condition == VerdictType.RELOOP:
- pass
- lines.append(f"\n*On RELOOP: return to `{edge.target}` (max {max_iter} iterations)*")
+ max_iter = _resolve_max_iterations(edge, workflow)
+ max_iter_slot = emit(f"max_iterations_{node.id}", str(max_iter))
+ lines.append(f"\n*On RELOOP: return to `{edge.target}` (max {max_iter_slot} iterations)*")
return "\n".join(lines)
+def _resolve_max_iterations(edge: Edge, workflow: Workflow) -> int:
+ """Resolve max_iterations from the RELOOP edge target's AgentNode."""
+ target_node = workflow.nodes.get(edge.target)
+ if isinstance(target_node, AgentNode) and target_node.max_iterations != 1:
+ return target_node.max_iterations
+ return 3
+
+
def _fork_to_instruction(node: ForkNode, workflow: Workflow) -> str:
"""Convert a ForkNode to parallel agent spawning instructions."""
- lines = [f"Spawn {len(node.targets)} agents in parallel:\n"]
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+
+ annotations = [
+ f"<!-- node: ForkNode id={node.id} targets={','.join(node.targets)} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ lines = [*annotations, "", f"Spawn {len(node.targets)} agents in parallel:\n"]
for target_id in node.targets:
target_node = workflow.nodes.get(target_id)
if isinstance(target_node, AgentNode):
- lines.append(_agent_to_instruction(target_node, is_parallel=True))
+ lines.append(_agent_to_instruction(target_node, workflow, is_parallel=True))
+ lines.append("")
+ elif isinstance(target_node, FnNode):
+ lines.append(_fn_to_instruction(target_node, workflow))
lines.append("")
lines.append("```bash\nwait\n```")
+
+ agent_nodes: list[AgentNode] = [
+ workflow.nodes[tid] # type: ignore[misc]
+ for tid in node.targets
+ if isinstance(workflow.nodes.get(tid), AgentNode)
+ ]
+ if agent_nodes:
+ # Calculate the maximum timeout among all parallel agents
+ max_timeout = max((node.timeout or 600 for node in agent_nodes), default=600)
+
+ # Add timeout guidance if max_timeout exceeds Bash tool's default (120s)
+ if max_timeout > 120:
+ lines.append("")
+ lines.append(
+ f"\n**Important:** Run ALL commands above in a **single** Bash tool call "
+ f"with timeout set to at least {max_timeout} seconds.\n"
+ )
+
+ from factory.workflow.verification import compile_fork_verification
+
+ verify_script = compile_fork_verification(agent_nodes)
+ if verify_script:
+ lines.append("")
+ lines.append(f"```bash\n{verify_script}\n```")
+ lines.append("*(post-barrier harness verification — DO NOT SKIP)*")
+
return "\n".join(lines)
-def _join_to_instruction(node: JoinNode) -> str:
+def _join_to_instruction(node: JoinNode, workflow: Workflow) -> str:
"""Convert a JoinNode to a wait-for-all instruction."""
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+ reads_ann = ", ".join(sorted(node.reads)) if node.reads else "none"
+ writes_ann = ", ".join(sorted(node.writes)) if node.writes else "none"
+
+ annotations = [
+ f"<!-- node: JoinNode id={node.id} sources={','.join(node.sources)} -->",
+ f"<!-- reads: {reads_ann} -->",
+ f"<!-- writes: {writes_ann} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
sources = ", ".join(f"`{s}`" for s in node.sources)
- lines = [f"Wait for all parallel agents to complete: {sources}"]
+ lines = [*annotations, "", f"Wait for all parallel agents to complete: {sources}"]
if node.reads:
reads = ", ".join(f"`{r}`" for r in sorted(node.reads))
lines.append(f"\nRead combined outputs: {reads}")
@@ -296,6 +569,56 @@ def _join_to_instruction(node: JoinNode) -> str:
return "\n".join(lines)
+def _subgraph_fork_to_instruction(node: SubgraphForkNode, workflow: Workflow) -> str:
+ """Convert a SubgraphForkNode to parallel worktree experiment instructions."""
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+
+ annotations = [
+ f"<!-- node: SubgraphForkNode id={node.id} entry={node.subgraph_entry} exit={node.subgraph_exit} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ lines = [
+ *annotations,
+ "",
+ f"Fork up to {node.parallelism} parallel experiment branches, each in an isolated worktree:",
+ "",
+ "For each hypothesis from the strategy:",
+ "1. Create an experiment worktree branching from the current commit",
+ f"2. Run the experiment subgraph (`{node.subgraph_entry}` → `{node.subgraph_exit}`)",
+ "3. Each branch runs independently: begin → builder → QA → eval",
+ "",
+ "All branches run concurrently. Results are collected at the barrier.",
+ ]
+ return "\n".join(lines)
+
+
+def _selection_to_instruction(node: SelectionNode, workflow: Workflow) -> str:
+ """Convert a SelectionNode to selection protocol instructions."""
+ out_edges = _outgoing_edges(workflow, node.id)
+ edges_str = _format_edges(out_edges)
+
+ annotations = [
+ f"<!-- node: SelectionNode id={node.id} strategy={node.strategy} -->",
+ f"<!-- edges: {edges_str} -->",
+ ]
+
+ lines = [
+ *annotations,
+ "",
+ f"**Selection strategy: `{node.strategy}`**",
+ "",
+ "Compare all completed experiment branches:",
+ "1. Read eval results from each branch's worktree",
+ "2. Select the branch with the highest composite score",
+ "3. Merge the winner's branch into the baseline",
+ "4. Mark losing experiments as `superseded`",
+ "5. Clean up all experiment worktrees",
+ ]
+ return "\n".join(lines)
+
+
# ── frontmatter builder ────────────────────────────────────────
@@ -326,6 +649,9 @@ def workflow_to_skill_md(workflow: Workflow) -> str:
Parses the workflow graph structure (nodes, edges, gates, fork/join)
and generates standardized prose instructions that the CEO follows
flexibly. Gates become steering points for user interaction.
+
+ Emits {{slot_name::default_value}} template markers and <!-- -->
+ annotation comments for the verified skill generation pipeline.
"""
name = workflow.name
meta = WORKFLOW_META.get(name, {})
@@ -334,9 +660,13 @@ def workflow_to_skill_md(workflow: Workflow) -> str:
frontmatter = _build_frontmatter(name, description, argument_hint)
- title = name.replace("_", " ").title()
+ title = name.replace("_", " ").replace("-", " ").title()
header = f"# {title} Workflow\n\nThe user wants: **$ARGUMENTS**"
+ preamble = meta.get("preamble")
+ if preamble:
+ header += f"\n\n{preamble}"
+
reloop_map: dict[str, list[Edge]] = defaultdict(list)
for edge in workflow.edges:
if edge.condition == VerdictType.RELOOP:
@@ -344,21 +674,39 @@ def workflow_to_skill_md(workflow: Workflow) -> str:
sorted_nodes = _topological_sort(workflow)
fork_targets: set[str] = set()
+ subgraph_nodes: set[str] = set()
for nid in sorted_nodes:
node = workflow.nodes[nid]
if isinstance(node, ForkNode):
fork_targets.update(node.targets)
+ elif isinstance(node, SubgraphForkNode):
+ from factory.workflow.executor import _collect_subgraph_nodes
+
+ subgraph_nodes |= _collect_subgraph_nodes(
+ workflow, node.subgraph_entry, node.subgraph_exit
+ )
sections: list[str] = []
phase_num = 1
for nid in sorted_nodes:
- if nid in fork_targets:
+ if nid in fork_targets or nid in subgraph_nodes:
continue
node = workflow.nodes[nid]
- if isinstance(node, ForkNode):
+ if isinstance(node, SubgraphForkNode):
+ node_title = nid.replace("fork_", "").replace("_", " ").title()
+ sections.append(f"## Phase {phase_num}: {node_title} (Parallel Experiments)\n")
+ sections.append(_subgraph_fork_to_instruction(node, workflow))
+ phase_num += 1
+
+ elif isinstance(node, SelectionNode):
+ sections.append(f"## Phase {phase_num}: Select Best Experiment\n")
+ sections.append(_selection_to_instruction(node, workflow))
+ phase_num += 1
+
+ elif isinstance(node, ForkNode):
node_title = nid.replace("fork_", "").replace("_", " ").title()
sections.append(f"## Phase {phase_num}: {node_title} (Parallel)\n")
sections.append(_fork_to_instruction(node, workflow))
@@ -367,17 +715,15 @@ def workflow_to_skill_md(workflow: Workflow) -> str:
elif isinstance(node, JoinNode):
node_title = nid.replace("join_", "").replace("_", " ").title()
sections.append(f"## Barrier: {node_title}\n")
- sections.append(_join_to_instruction(node))
+ sections.append(_join_to_instruction(node, workflow))
elif isinstance(node, GateNode):
- sections.append(
- _gate_to_checkpoint(node, reloop_map.get(nid, []))
- )
+ sections.append(_gate_to_checkpoint(node, reloop_map.get(nid, []), workflow))
elif isinstance(node, Study):
node_title = "Observe"
sections.append(f"## Phase {phase_num}: {node_title}\n")
- sections.append(_study_to_instruction(node))
+ sections.append(_study_to_instruction(node, workflow))
phase_num += 1
elif isinstance(node, AgentNode):
@@ -388,25 +734,31 @@ def workflow_to_skill_md(workflow: Workflow) -> str:
else:
section_title = f"{role_title} — {node_title}"
sections.append(f"## Phase {phase_num}: {section_title}\n")
- sections.append(_agent_to_instruction(node))
+ sections.append(_agent_to_instruction(node, workflow))
+ phase_num += 1
+
+ elif isinstance(node, LLMNode):
+ node_title = nid.replace("_", " ").title()
+ sections.append(f"## Phase {phase_num}: {node_title} (LLM API)\n")
+ sections.append(_llm_to_instruction(node, workflow))
phase_num += 1
elif isinstance(node, FnNode):
node_title = nid.replace("_", " ").title()
sections.append(f"## Step: {node_title}\n")
- sections.append(_fn_to_instruction(node))
+ sections.append(_fn_to_instruction(node, workflow))
body = "\n\n".join(sections)
result = f"{frontmatter}\n\n{header}\n\n{body}\n"
line_count = result.count("\n") + 1
- if line_count > 500:
+ if line_count > 600:
log.warning(
"skill_export.oversized",
workflow=name,
lines=line_count,
- limit=500,
+ limit=600,
)
return result
@@ -421,25 +773,35 @@ def export_all_skills(
) -> list[Path]:
"""Export all registered workflows as SKILL.md files.
- Writes each to output_dir/workflow-<name>/SKILL.md.
- Returns paths to generated files.
+ Generates templatized content, then resolves it to clean prose for
+ SKILL.md and writes structured annotations to SKILL.annotations.yaml.
+ Returns paths to generated SKILL.md files.
"""
+ from factory.workflow.splitter import annotations_to_yaml, split_skill
+
if workflows is None:
from factory.workflow.definitions import register_all
+
workflows = register_all()
generated: list[Path] = []
for name, wf in workflows.items():
- skill_md = workflow_to_skill_md(wf)
+ templatized = workflow_to_skill_md(wf)
+ clean_md, annotations = split_skill(templatized)
skill_dir = output_dir / f"workflow-{name}"
skill_dir.mkdir(parents=True, exist_ok=True)
+
skill_path = skill_dir / "SKILL.md"
- skill_path.write_text(skill_md)
+ skill_path.write_text(clean_md)
+
+ if annotations:
+ ann_path = skill_dir / "SKILL.annotations.yaml"
+ ann_path.write_text(annotations_to_yaml(annotations))
generated.append(skill_path)
- log.info("skill_export.wrote", path=str(skill_path), lines=skill_md.count("\n") + 1)
+ log.info("skill_export.wrote", path=str(skill_path), lines=clean_md.count("\n") + 1)
return generated
@@ -479,7 +841,7 @@ def validate_skill(content: str) -> list[str]:
issues.append(f"Description exceeds 1024 chars ({len(desc_val)})")
line_count = content.count("\n") + 1
- if line_count > 500:
- issues.append(f"Body exceeds 500 lines ({line_count})")
+ if line_count > 600:
+ issues.append(f"Body exceeds 600 lines ({line_count})")
return issues
diff --git a/factory/workflow/splitter.py b/factory/workflow/splitter.py
new file mode 100644
index 000000000..cf0e7854b
--- /dev/null
+++ b/factory/workflow/splitter.py
@@ -0,0 +1,183 @@
+"""Splitter for verified skill generation — produces SKILL.md + annotations YAML.
+
+Input: validated refined markdown (guard-approved templatized skill).
+
+Output:
+- SKILL.md: annotations stripped, {{slot::value}} resolved to bare values
+- SKILL.annotations.yaml: structured metadata per node keyed by node ID
+"""
+
+from __future__ import annotations
+
+import re
+from typing import Any
+
+import yaml
+
+from factory.workflow.templates import extract, resolve
+
+_ANNOTATION_PATTERN = re.compile(r"<!--\s*(.*?)\s*-->", re.DOTALL)
+
+_SLOT_PREFIXES = (
+ "timeout_",
+ "task_prompt_",
+ "gate_prompt_",
+ "system_prompt_",
+ "instance_prompt_",
+ "max_iterations_",
+ "max_turns_",
+ "failure_action_",
+ "finalize_command_",
+)
+
+
+def _slot_belongs_to_node(slot_name: str, node_id: str) -> bool:
+ """Check if a slot name belongs to a node by extracting the node_id after the prefix."""
+ for prefix in _SLOT_PREFIXES:
+ if slot_name.startswith(prefix):
+ return slot_name[len(prefix):] == node_id
+ return False
+
+
+def split_skill(templatized: str) -> tuple[str, dict[str, Any]]:
+ """Split templatized markdown into clean prose and annotations.
+
+ Returns (clean_skill_md, annotations_dict).
+ """
+ annotations = extract_annotations(templatized)
+ slots = dict(extract(templatized))
+ for node_id, meta in annotations.items():
+ node_slots = {k: v for k, v in slots.items() if _slot_belongs_to_node(k, node_id)}
+ if node_slots:
+ meta["slots"] = node_slots
+
+ clean = resolve_to_clean(templatized)
+
+ return clean, annotations
+
+
+def resolve_to_clean(templatized: str) -> str:
+ """Strip annotation comments and resolve slot markers to bare values."""
+ lines = templatized.split("\n")
+ clean_lines: list[str] = []
+ prev_blank = False
+ for line in lines:
+ stripped = line.strip()
+ if stripped.startswith("<!--") and stripped.endswith("-->"):
+ continue
+ is_blank = stripped == ""
+ if is_blank and prev_blank:
+ continue
+ clean_lines.append(line)
+ prev_blank = is_blank
+
+ text = "\n".join(clean_lines)
+ resolved = resolve(text)
+ while "\n\n\n" in resolved:
+ resolved = resolved.replace("\n\n\n", "\n\n")
+ return resolved
+
+
+def extract_annotations(templatized: str) -> dict[str, Any]:
+ """Parse <!-- --> annotation comments into structured metadata keyed by node ID."""
+ annotations: dict[str, Any] = {}
+ current_id: str | None = None
+
+ for match in _ANNOTATION_PATTERN.finditer(templatized):
+ content = match.group(1).strip()
+
+ node_info = _parse_node_annotation(content)
+ if node_info:
+ current_id = node_info["id"]
+ if current_id not in annotations:
+ annotations[current_id] = {}
+ annotations[current_id].update(node_info)
+ continue
+
+ gate_info = _parse_gate_annotation(content)
+ if gate_info:
+ current_id = gate_info["id"]
+ if current_id not in annotations:
+ annotations[current_id] = {}
+ annotations[current_id].update(gate_info)
+ continue
+
+ if current_id:
+ _parse_metadata_line(content, annotations[current_id])
+
+ return annotations
+
+
+def _parse_node_annotation(content: str) -> dict[str, Any] | None:
+ """Parse 'node: Type id=X ...' annotations."""
+ m = re.match(r"node:\s+(\w+)\s+id=(\S+)(.*)", content)
+ if not m:
+ return None
+ result: dict[str, Any] = {"type": m.group(1), "id": m.group(2)}
+ rest = m.group(3).strip()
+ for kv in re.findall(r"(\w+)=(\S+)", rest):
+ result[kv[0]] = kv[1]
+ return result
+
+
+def _parse_gate_annotation(content: str) -> dict[str, Any] | None:
+ """Parse 'gate: GateNode id=X ...' annotations."""
+ m = re.match(r"gate:\s+(\w+)\s+id=(\S+)(.*)", content)
+ if not m:
+ return None
+ result: dict[str, Any] = {"type": m.group(1), "id": m.group(2)}
+ rest = m.group(3).strip()
+ for kv in re.findall(r"(\w+)=(\S+)", rest):
+ result[kv[0]] = kv[1]
+ return result
+
+
+def _parse_metadata_line(content: str, meta: dict[str, Any]) -> None:
+ """Parse key: value lines from annotation comments."""
+ if content.startswith("NOTE:"):
+ return
+
+ m = re.match(r"(\w+):\s*(.*)", content)
+ if not m:
+ return
+ key = m.group(1)
+ value = m.group(2).strip()
+
+ if key in ("reads", "writes"):
+ if value and value != "none":
+ meta[key] = [v.strip() for v in value.split(",")]
+ else:
+ meta[key] = []
+ elif key == "edges":
+ meta["edges_out"] = _parse_edges(value)
+ elif key == "command":
+ meta[key] = value
+ elif key == "evaluator_command":
+ meta[key] = value
+ elif key == "targets":
+ meta[key] = [t.strip() for t in value.split(",")]
+ elif key == "sources":
+ meta[key] = [s.strip() for s in value.split(",")]
+
+
+def _parse_edges(edges_str: str) -> list[dict[str, str | None]]:
+ """Parse edge strings like 'unconditional → target, proceed → target2'."""
+ if not edges_str or edges_str == "none":
+ return []
+ edges = []
+ for part in edges_str.split(","):
+ part = part.strip()
+ m = re.match(r"(\w+)\s*→\s*(\S+)", part)
+ if m:
+ condition = m.group(1)
+ target = m.group(2)
+ edges.append({
+ "target": target,
+ "condition": None if condition == "unconditional" else condition.upper(),
+ })
+ return edges
+
+
+def annotations_to_yaml(annotations: dict[str, Any]) -> str:
+ """Serialize annotations dict to YAML string."""
+ return yaml.dump(annotations, default_flow_style=False, sort_keys=False, allow_unicode=True)
diff --git a/factory/workflow/templates.py b/factory/workflow/templates.py
new file mode 100644
index 000000000..af4985838
--- /dev/null
+++ b/factory/workflow/templates.py
@@ -0,0 +1,29 @@
+"""Template slot format for verified skill generation.
+
+Slot format: {{slot_name::default_value}}
+
+- emit(name, value) → produces '{{name::value}}'
+- resolve(text) → strips markers, emits bare values as clean prose
+- extract(text) → returns list of (name, value) tuples from a templatized string
+"""
+
+from __future__ import annotations
+
+import re
+
+_SLOT_PATTERN = re.compile(r"\{\{([a-z_][a-z0-9_]*)::(.*?)\}\}", re.DOTALL)
+
+
+def emit(slot_name: str, default_value: str) -> str:
+ """Produce a template slot marker: {{slot_name::default_value}}."""
+ return f"{{{{{slot_name}::{default_value}}}}}"
+
+
+def resolve(text: str) -> str:
+ """Strip slot markers, emitting bare default values as clean prose."""
+ return _SLOT_PATTERN.sub(r"\2", text)
+
+
+def extract(text: str) -> list[tuple[str, str]]:
+ """Extract all (slot_name, value) tuples from templatized text."""
+ return _SLOT_PATTERN.findall(text)
diff --git a/factory/workflow/tool.py b/factory/workflow/tool.py
new file mode 100644
index 000000000..f6db23a01
--- /dev/null
+++ b/factory/workflow/tool.py
@@ -0,0 +1,926 @@
+"""Tool-based workflow execution — step-by-step cursor over the DAG."""
+
+from __future__ import annotations
+
+import json
+import subprocess
+import time
+import uuid
+from pathlib import Path
+
+import structlog
+
+from factory.workflow.primitives import (
+ AgentConfig,
+ AgentNode,
+ DEFAULT_AGENT_POOL,
+ FnNode,
+ ForkNode,
+ GateNode,
+ JoinNode,
+ Study,
+ VerdictType,
+ Workflow,
+)
+from factory.workflow.registry import WorkflowRegistry
+from factory.workflow.skill_export import _topological_sort
+
+log = structlog.get_logger()
+
+_workflow_cache: dict[str, Workflow] = {}
+
+
+def _resolve_original_project(wt_path: Path) -> Path:
+ """Resolve the original project path from a worktree path.
+
+ Worktree paths look like: /project/.factory-worktrees/run-xxx
+ or: /project/.factory/worktrees/run-xxx
+ Falls back to wt_path itself if not a worktree.
+ """
+ parts = wt_path.parts
+ for i, part in enumerate(parts):
+ if part == ".factory-worktrees":
+ return Path(*parts[:i])
+ if part == ".factory" and i + 1 < len(parts) and parts[i + 1] == "worktrees":
+ return Path(*parts[:i])
+ return wt_path
+
+
+def _load_state(project_path: Path) -> dict:
+ state_path = project_path / ".factory" / "tool_session" / "state.json"
+ return json.loads(state_path.read_text())
+
+
+def _save_state(project_path: Path, state: dict) -> None:
+ state_path = project_path / ".factory" / "tool_session" / "state.json"
+ state_path.write_text(json.dumps(state, indent=2))
+
+
+def _emit_event(project_path: Path, event_type: str, **data: object) -> None:
+ """Append a structured event to .factory/events.jsonl.
+
+ Resolves the original project path so events survive worktree deletion.
+ """
+ try:
+ state_path = project_path / ".factory" / "tool_session" / "state.json"
+ if state_path.exists():
+ state = json.loads(state_path.read_text())
+ orig = state.get("original_project")
+ if orig:
+ target = Path(orig)
+ else:
+ target = _resolve_original_project(project_path)
+ else:
+ target = _resolve_original_project(project_path)
+ except Exception:
+ target = project_path
+
+ event = {
+ "type": event_type,
+ "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
+ **data,
+ }
+ events_file = target / ".factory" / "events.jsonl"
+ events_file.parent.mkdir(parents=True, exist_ok=True)
+ with open(events_file, "a") as f:
+ f.write(json.dumps(event) + "\n")
+
+
+def _rebuild_workflow(cache_data: dict) -> Workflow:
+ """Rebuild a Workflow from cached JSON data."""
+ from factory.workflow.primitives import AgentRole, Edge, VerdictType
+
+ from factory.workflow.primitives import NodeType
+ nodes: dict[str, NodeType] = {}
+ for nid, info in cache_data["nodes"].items():
+ ntype = info["type"]
+ common: dict[str, object] = {
+ "id": nid,
+ "reads": set(info.get("reads", [])),
+ "writes": set(info.get("writes", [])),
+ "blocking": info.get("blocking", True),
+ }
+
+ if ntype == "AgentNode":
+ nodes[nid] = AgentNode(
+ **common, # type: ignore[arg-type]
+ role=AgentRole(info["role"]),
+ model=info.get("model", ""),
+ prompt_template=info.get("prompt_template", ""),
+ timeout=info.get("timeout"),
+ max_iterations=info.get("max_iterations", 1),
+ )
+ elif ntype == "GateNode":
+ nodes[nid] = GateNode(
+ **common, # type: ignore[arg-type]
+ evaluator_type=info.get("evaluator_type", "agent"),
+ evaluator_command=info.get("evaluator_command"),
+ gate_prompt=info.get("gate_prompt", ""),
+ evaluator_role=AgentRole(info["evaluator_role"]) if info.get("evaluator_role") else None,
+ )
+ elif ntype == "Study":
+ nodes[nid] = Study(
+ **common, # type: ignore[arg-type]
+ command=info.get("command", ""),
+ focus=info.get("focus"),
+ )
+ elif ntype == "FnNode":
+ nodes[nid] = FnNode(
+ **common, # type: ignore[arg-type]
+ command=info.get("command", ""),
+ notes=info.get("notes", ""),
+ )
+ elif ntype == "ForkNode":
+ nodes[nid] = ForkNode(
+ **common, # type: ignore[arg-type]
+ targets=info.get("targets", []),
+ )
+ elif ntype == "JoinNode":
+ nodes[nid] = JoinNode(
+ **common, # type: ignore[arg-type]
+ sources=info.get("sources", []),
+ )
+ else:
+ nodes[nid] = FnNode(**common, command="", notes="") # type: ignore[arg-type]
+
+ edges = []
+ for e in cache_data.get("edges", []):
+ edges.append(Edge(
+ source=e["source"],
+ target=e["target"],
+ condition=VerdictType(e["condition"]) if e.get("condition") else None,
+ ))
+
+ return Workflow(
+ name=cache_data["name"],
+ nodes=nodes,
+ edges=edges,
+ start_node=cache_data["start_node"],
+ )
+
+
+def _get_workflow_cached(name: str, project_path: Path) -> Workflow:
+ cache_key = f"{project_path}:{name}"
+ if cache_key in _workflow_cache:
+ return _workflow_cache[cache_key]
+
+ cache_file = project_path / ".factory" / "tool_session" / "workflow_cache.json"
+ if cache_file.exists():
+ try:
+ cache_data = json.loads(cache_file.read_text())
+ if cache_data.get("name") == name:
+ wf = _rebuild_workflow(cache_data)
+ _workflow_cache[cache_key] = wf
+ return wf
+ except Exception:
+ pass
+
+ from factory.workflow.definitions import register_all
+
+ all_wf = register_all()
+ found: Workflow | None = all_wf.get(name)
+ if not found:
+ found = WorkflowRegistry.get_workflow(name, project_path)
+ if not found:
+ raise ValueError(f"Workflow not found: {name}")
+ _workflow_cache[cache_key] = found
+ return found
+
+
+def tool_init(workflow_name: str, project_path: Path) -> str:
+ """Initialize a tool session. Returns session dir path."""
+ wf = WorkflowRegistry.get_workflow(workflow_name, project_path)
+ if not wf:
+ raise ValueError(f"Unknown workflow: {workflow_name}")
+
+ session_dir = project_path / ".factory" / "tool_session"
+ session_dir.mkdir(parents=True, exist_ok=True)
+
+ order = _topological_sort(wf)
+
+ order = [nid for nid in order if not isinstance(wf.nodes.get(nid), JoinNode)]
+
+ state = {
+ "workflow_name": workflow_name,
+ "session_id": uuid.uuid4().hex[:12],
+ "original_project": str(_resolve_original_project(project_path)),
+ "started_at": int(time.time()),
+ "topo_order": order,
+ "pointer_idx": 0,
+ "completed": {},
+ "gate_results": {},
+ "iteration_counts": {},
+ "feedback_log": {},
+ "status": "active",
+ }
+
+ (session_dir / "state.json").write_text(json.dumps(state, indent=2))
+
+ cache_data: dict[str, object] = {
+ "name": wf.name,
+ "start_node": wf.start_node,
+ "nodes": {},
+ "edges": [
+ {
+ "source": e.source,
+ "target": e.target,
+ "condition": e.condition.value if e.condition else None,
+ }
+ for e in wf.edges
+ ],
+ }
+ nodes_cache: dict[str, dict[str, object]] = {}
+ for nid, node in wf.nodes.items():
+ node_info: dict[str, object] = {
+ "type": type(node).__name__,
+ "id": nid,
+ "blocking": node.blocking,
+ "reads": sorted(node.reads),
+ "writes": sorted(node.writes),
+ }
+ if isinstance(node, AgentNode):
+ node_info["role"] = node.role.value
+ node_info["model"] = node.model
+ node_info["prompt_template"] = node.prompt_template
+ node_info["timeout"] = node.timeout
+ node_info["max_iterations"] = node.max_iterations
+ elif isinstance(node, GateNode):
+ node_info["evaluator_type"] = node.evaluator_type
+ node_info["evaluator_command"] = node.evaluator_command
+ node_info["gate_prompt"] = node.gate_prompt
+ if node.evaluator_role:
+ node_info["evaluator_role"] = node.evaluator_role.value
+ elif isinstance(node, Study):
+ node_info["command"] = node.command
+ node_info["focus"] = node.focus
+ elif isinstance(node, FnNode):
+ node_info["command"] = node.command
+ node_info["notes"] = node.notes
+ elif isinstance(node, ForkNode):
+ node_info["targets"] = node.targets
+ nodes_cache[nid] = node_info
+ cache_data["nodes"] = nodes_cache
+ (session_dir / "workflow_cache.json").write_text(json.dumps(cache_data, indent=2))
+
+ _emit_event(
+ project_path, "workflow.tool.init",
+ workflow=workflow_name, session_id=state["session_id"], nodes=len(order),
+ )
+ return str(session_dir)
+
+
+def tool_next(project_path: Path, dry_run: bool = False) -> str:
+ """Get the next node to execute.
+
+ Auto-submits any pending node whose artifacts exist:
+ - AgentNode: .factory/reviews/<role>-latest.md or <role>-<tag>-latest.md
+ - Study: .factory/strategy/observations.md
+ - FnNode: declared writes exist
+ - ForkNode: skip (handled by sequential ordering)
+
+ The CEO never calls submit for agent/fn nodes — just next repeatedly.
+ Submit is only needed for gate verdicts.
+
+ When dry_run=True, runs the auto-submit scan but does not persist state
+ changes or emit events.
+ """
+ import copy
+
+ state = _load_state(project_path)
+ if dry_run:
+ state = copy.deepcopy(state)
+
+ if state["status"] != "active":
+ if not dry_run:
+ finalize_msg = tool_finalize(project_path)
+ return f"DONE\n{finalize_msg}"
+ return "DONE"
+
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+
+ while idx < len(order):
+ nid = order[idx]
+
+ if nid in state["completed"]:
+ idx += 1
+ continue
+
+ node = wf.nodes[nid]
+ artifact = _detect_artifact(
+ nid, node, project_path, session_start=state.get("started_at", 0.0),
+ )
+
+ if artifact is not None:
+ state["completed"][nid] = artifact
+ if isinstance(node, AgentNode) and node.writes:
+ for wp in node.writes:
+ out = project_path / wp
+ out.parent.mkdir(parents=True, exist_ok=True)
+ if not out.exists():
+ out.write_text(artifact)
+ log.info("tool.auto_submit", node=nid)
+ if not dry_run:
+ _emit_event(project_path, "workflow.tool.auto_submit", node=nid)
+ idx += 1
+ state["pointer_idx"] = idx
+
+ if idx < len(order):
+ next_nid = order[idx]
+ next_node = wf.nodes.get(next_nid)
+ if (
+ isinstance(next_node, GateNode)
+ and next_node.evaluator_type == "fn"
+ and next_node.evaluator_command
+ ):
+ gate_result = _auto_evaluate_fn_gate(
+ next_node, project_path, state, wf, order, idx,
+ )
+ if gate_result:
+ return gate_result
+ idx = state["pointer_idx"]
+
+ if not dry_run:
+ _save_state(project_path, state)
+ continue
+
+ break
+
+ state["pointer_idx"] = idx
+ if not dry_run:
+ _save_state(project_path, state)
+
+ if idx >= len(order):
+ if not dry_run:
+ finalize_msg = tool_finalize(project_path)
+ return f"DONE\n{finalize_msg}"
+ return "DONE"
+
+ nid = order[idx]
+ node = wf.nodes[nid]
+
+ if not dry_run:
+ _emit_event(project_path, "workflow.tool.next", node=nid, node_type=type(node).__name__)
+
+ if isinstance(node, GateNode) and node.evaluator_type == "agent":
+ return f"GATE\n{_format_gate_task(nid, node, state, project_path)}"
+
+ if isinstance(node, GateNode) and node.evaluator_type == "user":
+ return f"APPROVAL_NEEDED\n{node.gate_prompt}"
+
+ return _format_node_task(nid, node, wf, state, project_path)
+
+
+def tool_submit(project_path: Path, node_id: str, output: str) -> str:
+ """Submit output for a node (primarily used for gate verdicts)."""
+ state = _load_state(project_path)
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+
+ state["completed"][node_id] = output
+ _emit_event(project_path, "workflow.tool.submit", node=node_id)
+
+ if isinstance(wf.nodes.get(node_id), GateNode) and output.strip().startswith("RETRY"):
+ import re as _re
+ target_m = _re.search(r'target=(\S+)', output)
+ feedback_m = _re.search(r'feedback="([^"]*)"', output)
+ if target_m:
+ reloop_target = target_m.group(1)
+ feedback_text = feedback_m.group(1) if feedback_m else output[:500]
+ feedback_log = state.setdefault("feedback_log", {})
+ entries = feedback_log.setdefault(reloop_target, [])
+ entries.append({
+ "gate": node_id,
+ "iteration": len([e for e in entries if e["gate"] == node_id]) + 1,
+ "feedback": feedback_text[:500],
+ "timestamp": time.time(),
+ })
+
+ node = wf.nodes.get(node_id)
+ if isinstance(node, AgentNode) and node.writes:
+ for write_path in node.writes:
+ out_file = project_path / write_path
+ out_file.parent.mkdir(parents=True, exist_ok=True)
+ out_file.write_text(output)
+
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+
+ if idx < len(order) and order[idx] == node_id:
+ idx += 1
+
+ state["pointer_idx"] = idx
+
+ if idx >= len(order):
+ state["status"] = "completed"
+ _save_state(project_path, state)
+ return "DONE"
+
+ next_nid = order[idx]
+ next_node = wf.nodes.get(next_nid)
+ if (
+ isinstance(next_node, GateNode)
+ and next_node.evaluator_type == "fn"
+ and next_node.evaluator_command
+ ):
+ gate_result = _auto_evaluate_fn_gate(
+ next_node, project_path, state, wf, order, idx,
+ )
+ if gate_result:
+ return gate_result
+
+ _save_state(project_path, state)
+ return "CONTINUE"
+
+
+def tool_status(project_path: Path, fmt: str = "linear") -> str:
+ """Get current session status."""
+ state_path = project_path / ".factory" / "tool_session" / "state.json"
+ if not state_path.exists():
+ return "No active session. Run: factory tool init <workflow> <project_path>"
+
+ state = json.loads(state_path.read_text())
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+ current = order[idx] if idx < len(order) else "DONE"
+ completed_count = len(state["completed"])
+ total = len(order)
+
+ try:
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ except Exception:
+ wf = None
+
+ current_nid = current if current != "DONE" else None
+
+ lines = [
+ f"Workflow: {state['workflow_name']}",
+ f"Session: {state['session_id']}",
+ f"Status: {state['status']}",
+ f"Progress: {completed_count}/{total} nodes",
+ f"Current: {current}",
+ ]
+
+ if state["gate_results"]:
+ lines.append(f"Gates: {json.dumps(state['gate_results'])}")
+
+ lines.append("")
+ lines.append(_format_progress(state, wf, project_path, current_nid, fmt=fmt))
+
+ return "\n".join(lines)
+
+
+def tool_finalize(project_path: Path) -> str:
+ """Finalize the tool session — mark any remaining untracked nodes as complete.
+
+ Scans forward from the current pointer, auto-completing any nodes whose
+ artifacts exist but weren't tracked (e.g., async agents like archivist).
+ """
+ state = _load_state(project_path)
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ order = state["topo_order"]
+
+ finalized = []
+ for nid in order:
+ if nid in state["completed"]:
+ continue
+ node = wf.nodes[nid]
+ artifact = _detect_artifact(
+ nid, node, project_path, session_start=state.get("started_at", 0.0),
+ )
+ if artifact is not None:
+ state["completed"][nid] = artifact
+ finalized.append(nid)
+ log.info("tool.finalize", node=nid)
+
+ if len(state["completed"]) >= len(order):
+ state["status"] = "completed"
+
+ state["pointer_idx"] = len(order)
+ _save_state(project_path, state)
+
+ _emit_event(project_path, "workflow.tool.finalize", nodes=finalized)
+
+ if finalized:
+ return (
+ f"Finalized {len(finalized)} node(s): {', '.join(finalized)}\n"
+ f"Progress: {len(state['completed'])}/{len(order)}"
+ )
+ return f"No pending nodes to finalize. Progress: {len(state['completed'])}/{len(order)}"
+
+
+def tool_overview(project_path: Path, fmt: str = "linear") -> str:
+ """Render the full workflow map with completion markers. Does NOT advance."""
+ state = _load_state(project_path)
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+ current_nid = order[idx] if idx < len(order) else None
+ return _format_progress(state, wf, project_path, current_nid, fmt=fmt)
+
+
+def tool_curr(project_path: Path) -> str:
+ """Show current node details without advancing or auto-submitting."""
+ state = _load_state(project_path)
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+
+ if idx >= len(order):
+ return "DONE\nAll nodes completed."
+
+ nid = order[idx]
+ node = wf.nodes[nid]
+ return _format_node_task(nid, node, wf, state, project_path)
+
+
+# ── helpers ─────────────────────────────────────────────────────
+
+
+def _phase_label(nid: str, node: object) -> str:
+ """Generate a human-readable phase label from node id and type."""
+ name = nid.replace("_", " ").title()
+
+ if isinstance(node, AgentNode):
+ role = node.role.value.replace("_", " ").title()
+ return role if role.lower() in name.lower() else f"{role} — {name}"
+ elif isinstance(node, GateNode):
+ gate_name = nid.replace("gate_", "").replace("_", " ").title()
+ return f"Gate — {gate_name}"
+ elif isinstance(node, Study):
+ return f"Observe ({nid})"
+ elif isinstance(node, ForkNode):
+ return f"Fork ({', '.join(node.targets)})"
+ elif isinstance(node, FnNode):
+ return name
+ return name
+
+
+def _format_progress(
+ state: dict,
+ wf: Workflow | None,
+ project_path: Path,
+ current_nid: str | None,
+ fmt: str = "linear",
+) -> str:
+ """Build a progress view of the workflow with completion markers."""
+ order = state["topo_order"]
+ completed = state["completed"]
+ lines: list[str] = []
+
+ for i, nid in enumerate(order):
+ node = wf.nodes.get(nid) if wf else None
+ is_current = nid == current_nid
+ is_done = nid in completed
+
+ if is_done:
+ marker = "✓"
+ elif is_current:
+ marker = "▶"
+ else:
+ marker = "○"
+
+ if fmt == "phased":
+ label = _phase_label(nid, node) if node else nid.replace("_", " ").title()
+ line = f"{marker} Phase {i + 1}: {label}"
+ else:
+ line = f"{marker} {nid}"
+
+ if is_current:
+ line += " ← CURRENT"
+
+ lines.append(line)
+
+ if is_current and node is not None and wf is not None:
+ details = _format_node_task(nid, node, wf, state, project_path)
+ for detail_line in details.split("\n"):
+ if detail_line.startswith("Node:"):
+ continue
+ lines.append(f" {detail_line}")
+
+ return "\n".join(lines)
+
+
+def _find_loop_context(
+ nid: str, wf: Workflow, state: dict, project_path: Path,
+) -> str:
+ """Build a LOOP CONTEXT section for a node that is a RELOOP target.
+
+ Returns an empty string when nid is not a reloop target. Otherwise,
+ always returns a markdown section showing the loop topology, gate
+ criteria, and iteration count — even on the first invocation (iteration
+ 0). The feedback history subsection is only included when feedback
+ entries exist (i.e. after at least one RELOOP).
+ """
+ reloop_edges = [
+ e for e in wf.edges
+ if e.target == nid and e.condition == VerdictType.RELOOP
+ ]
+ if not reloop_edges:
+ return ""
+
+ topo = state.get("topo_order", [])
+ iteration_counts = state.get("iteration_counts", {})
+ feedback_log = state.get("feedback_log", {})
+
+ from factory.workflow.primitives import Edge as _Edge
+ latest_entry: dict | None = None
+ latest_gate_edge: _Edge | None = None
+ entries_for_node = feedback_log.get(nid, [])
+ if entries_for_node:
+ latest_entry = max(entries_for_node, key=lambda e: e.get("timestamp", 0))
+ for e in reloop_edges:
+ if e.source == latest_entry.get("gate"):
+ latest_gate_edge = e
+ break
+
+ active_edge = latest_gate_edge or reloop_edges[0]
+ gate_id = active_edge.source
+ iter_key = f"{gate_id}->{nid}"
+ count = iteration_counts.get(iter_key, 0)
+ max_iter = 3
+
+ lines: list[str] = [
+ "",
+ "## LOOP CONTEXT",
+ f"Iteration: {count}/{max_iter}",
+ ]
+ if count >= max_iter:
+ lines.append("⚠ FINAL ATTEMPT — this is the last iteration before HALT")
+
+ gate_node = wf.nodes.get(gate_id)
+ lines.append(f"Triggered by: {gate_id}")
+ if isinstance(gate_node, GateNode):
+ if gate_node.gate_prompt:
+ prompt_text = gate_node.gate_prompt.replace("{project_path}", str(project_path))
+ lines.append(f"Gate criteria: {prompt_text}")
+ if gate_node.evaluator_command:
+ cmd_text = gate_node.evaluator_command.replace("{project_path}", str(project_path))
+ lines.append(f"Gate command: {cmd_text}")
+
+ try:
+ nid_idx = topo.index(nid)
+ gate_idx = topo.index(gate_id)
+ except ValueError:
+ nid_idx = gate_idx = -1
+
+ if 0 <= nid_idx < gate_idx:
+ loop_path = topo[nid_idx:gate_idx + 1]
+ lines.append("")
+ lines.append("### Loop topology")
+ for loop_nid in loop_path:
+ loop_node = wf.nodes.get(loop_nid)
+ if loop_node is None:
+ continue
+ parts = [f"- **{loop_nid}**"]
+ if isinstance(loop_node, AgentNode):
+ parts.append(f"(agent: {loop_node.role.value})")
+ if loop_node.reads:
+ parts.append(f"reads: {', '.join(sorted(loop_node.reads))}")
+ if loop_node.writes:
+ parts.append(f"writes: {', '.join(sorted(loop_node.writes))}")
+ elif isinstance(loop_node, GateNode):
+ parts.append(f"(gate: {loop_node.evaluator_type})")
+ elif isinstance(loop_node, FnNode):
+ parts.append("(fn)")
+ lines.append(" ".join(parts))
+
+ if entries_for_node:
+ lines.append("")
+ lines.append("### Feedback history")
+ recent = sorted(entries_for_node, key=lambda e: e.get("timestamp", 0))[-2:]
+ for entry in recent:
+ fb_text = entry.get("feedback", "")[:500]
+ lines.append(f"- [{entry.get('gate', '?')} iter {entry.get('iteration', '?')}] {fb_text}")
+
+ return "\n".join(lines)
+
+
+def _format_node_task(
+ nid: str, node: object, wf: Workflow, state: dict, project_path: Path,
+) -> str:
+ """Format a node as a human-readable task description."""
+ lines = [f"Node: {nid}"]
+
+ if isinstance(node, AgentNode):
+ role = node.role.value
+ pool_cfg: AgentConfig | None = DEFAULT_AGENT_POOL.get(role)
+ model = node.model or (pool_cfg.model if pool_cfg else "opus")
+ timeout = node.timeout or (pool_cfg.timeout if pool_cfg else 600)
+
+ lines.append(f"Type: Agent ({role})")
+ lines.append(f"Model: {model}")
+ lines.append(f"Timeout: {timeout}s")
+
+ if node.prompt_template:
+ task = node.prompt_template.replace("{project_path}", str(project_path))
+ lines.append(f"Task: {task}")
+
+ if node.reads:
+ lines.append(f"Reads: {', '.join(sorted(node.reads))}")
+ if node.writes:
+ lines.append(f"Writes: {', '.join(sorted(node.writes))}")
+
+ elif isinstance(node, GateNode):
+ lines.append(f"Type: Gate ({node.evaluator_type})")
+ if node.gate_prompt:
+ lines.append(f"Evaluate: {node.gate_prompt}")
+ if node.evaluator_command:
+ cmd = node.evaluator_command.replace("{project_path}", str(project_path))
+ lines.append(f"Command: {cmd}")
+ if node.reads:
+ lines.append(f"Reads: {', '.join(sorted(node.reads))}")
+
+ elif isinstance(node, Study):
+ cmd = node.command.replace("{project_path}", str(project_path))
+ lines.append("Type: Study")
+ lines.append(f"Command: {cmd}")
+
+ elif isinstance(node, FnNode):
+ cmd = node.command.replace("{project_path}", str(project_path))
+ lines.append("Type: Function")
+ lines.append(f"Command: {cmd}")
+ if node.notes:
+ lines.append(f"Notes: {node.notes}")
+
+ elif isinstance(node, ForkNode):
+ lines.append("Type: Fork")
+ lines.append(f"Targets: {', '.join(node.targets)}")
+ lines.append("Execute all targets (listed as subsequent nodes).")
+
+ loop_ctx = _find_loop_context(nid, wf, state, project_path)
+ if loop_ctx:
+ lines.append(loop_ctx)
+
+ return "\n".join(lines)
+
+
+def _format_gate_task(
+ nid: str, gate_node: GateNode, state: dict, project_path: Path,
+) -> str:
+ """Format a gate node as a review task."""
+ prompt = gate_node.gate_prompt or "Review the output of the preceding step."
+ prompt = prompt.replace("{project_path}", str(project_path))
+
+ reads = ", ".join(sorted(gate_node.reads)) if gate_node.reads else "none"
+
+ reloop_targets: list[str] = []
+ wf = _get_workflow_cached(state["workflow_name"], project_path)
+ for edge in wf.edges:
+ if edge.source == nid and edge.condition == VerdictType.RELOOP:
+ reloop_targets.append(edge.target)
+
+ lines = [
+ f"Gate: {nid}",
+ f"Review: {prompt}",
+ f"Read: {reads}",
+ f"Reloop targets: {reloop_targets if reloop_targets else 'none'}",
+ "",
+ "Respond with one of:",
+ " PROCEED",
+ ' RETRY target=<node_id> feedback="<feedback>"',
+ ' HALT reason="<reason>"',
+ ]
+ return "\n".join(lines)
+
+
+def _detect_artifact(
+ nid: str, node: object, project_path: Path, session_start: float = 0.0,
+) -> str | None:
+ """Check if a node's output artifact exists. Returns content or None.
+
+ When session_start > 0, files with mtime before that timestamp are
+ treated as stale leftovers from a prior run and ignored.
+ """
+ reviews_dir = project_path / ".factory" / "reviews"
+
+ def _fresh(f: Path) -> bool:
+ return session_start <= 0 or f.stat().st_mtime >= session_start
+
+ if isinstance(node, AgentNode):
+ role = node.role.value
+ # 1. Tagged review file
+ tag = nid.replace(f"{role}_", "").replace(role, "")
+ if tag and tag != nid:
+ tagged_file = reviews_dir / f"{role}-{tag}-latest.md"
+ if tagged_file.exists() and _fresh(tagged_file):
+ content = tagged_file.read_text().strip()
+ if content:
+ return content
+ # 2. Declared writes — checked before generic to avoid same-role collision
+ if node.writes:
+ for wp in node.writes:
+ f = project_path / wp
+ if f.exists() and _fresh(f):
+ content = f.read_text().strip()
+ if content:
+ return content
+ return None
+ # 3. Generic review file — only for nodes without writes and no tag match
+ review_file = reviews_dir / f"{role}-latest.md"
+ if review_file.exists() and _fresh(review_file):
+ content = review_file.read_text().strip()
+ if content:
+ return content
+ return None
+
+ elif isinstance(node, Study):
+ obs_file = project_path / ".factory" / "strategy" / "observations.md"
+ if obs_file.exists() and _fresh(obs_file):
+ content = obs_file.read_text().strip()
+ if content and len(content) > 50:
+ return content
+ return None
+
+ elif isinstance(node, FnNode):
+ if node.writes:
+ all_exist = all(
+ (project_path / wp).exists() and _fresh(project_path / wp)
+ for wp in node.writes
+ )
+ if all_exist:
+ parts = []
+ for wp in node.writes:
+ parts.append((project_path / wp).read_text().strip()[:500])
+ return "; ".join(parts) if parts else None
+ return None
+
+ elif isinstance(node, ForkNode):
+ return f"Fork targets: {', '.join(node.targets)}"
+
+ elif isinstance(node, GateNode):
+ return None
+
+ return None
+
+
+def _auto_evaluate_fn_gate(
+ gate_node: GateNode,
+ project_path: Path,
+ state: dict,
+ wf: Workflow,
+ order: list[str],
+ idx: int,
+) -> str | None:
+ """Auto-evaluate a fn gate. Returns RETRY/HALT string or None if passed."""
+ nid = order[idx]
+ assert gate_node.evaluator_command is not None
+ cmd = gate_node.evaluator_command.replace("{project_path}", str(project_path))
+ try:
+ result = subprocess.run(
+ cmd, shell=True, capture_output=True, text=True, timeout=60,
+ )
+ gate_output = result.stdout.strip()
+ gate_passed = result.returncode == 0 and "FAIL" not in gate_output
+ except subprocess.TimeoutExpired:
+ gate_output = "Gate command timed out"
+ gate_passed = False
+
+ state["gate_results"][nid] = "PROCEED" if gate_passed else "HALT"
+ state["completed"][nid] = gate_output
+ _emit_event(
+ project_path, "workflow.tool.gate_eval",
+ gate=nid, result="PROCEED" if gate_passed else "HALT",
+ )
+
+ if not gate_passed:
+ reloop_target = _find_reloop_target(wf, nid)
+ if reloop_target:
+ iter_key = f"{nid}->{reloop_target}"
+ count = state["iteration_counts"].get(iter_key, 0) + 1
+ state["iteration_counts"][iter_key] = count
+
+ feedback_log = state.setdefault("feedback_log", {})
+ entries = feedback_log.setdefault(reloop_target, [])
+ entries.append({
+ "gate": nid,
+ "iteration": count,
+ "feedback": gate_output[:500],
+ "timestamp": time.time(),
+ })
+
+ if count <= 3:
+ if reloop_target in order:
+ state["pointer_idx"] = order.index(reloop_target)
+ _save_state(project_path, state)
+ return (
+ f"RETRY\nGate {nid} failed: {gate_output}\n"
+ f"Retry from: {reloop_target} (attempt {count}/3)"
+ )
+
+ state["status"] = "halted"
+ state["pointer_idx"] = idx + 1
+ _save_state(project_path, state)
+ return f"HALT\nGate {nid} failed: {gate_output}"
+
+ state["pointer_idx"] = idx + 1
+ _save_state(project_path, state)
+ return None
+
+
+def _find_reloop_target(wf: Workflow, gate_id: str) -> str | None:
+ """Find the RELOOP target for a gate node."""
+ for edge in wf.edges:
+ if edge.source == gate_id and edge.condition == VerdictType.RELOOP:
+ return edge.target
+ return None
diff --git a/factory/workflow/validation.py b/factory/workflow/validation.py
index a61921c30..a92218916 100644
--- a/factory/workflow/validation.py
+++ b/factory/workflow/validation.py
@@ -10,37 +10,45 @@
from factory.workflow.primitives import Workflow
-def validate_workflow(workflow: Workflow) -> list[str]:
- """Validate a workflow graph. Returns a list of issues (empty = valid)."""
- from factory.workflow.primitives import ForkNode, GateNode, JoinNode
-
- issues: list[str] = []
- nodes = workflow.nodes
- edges = workflow.edges
-
- if workflow.start_node not in nodes:
+def _validate_start_node(workflow: Workflow, issues: list[str]) -> None:
+ if workflow.start_node not in workflow.nodes:
issues.append(f"start_node '{workflow.start_node}' not in nodes")
- for edge in edges:
- if edge.source not in nodes:
+
+def _validate_edges(workflow: Workflow, issues: list[str]) -> None:
+ for edge in workflow.edges:
+ if edge.source not in workflow.nodes:
issues.append(f"edge source '{edge.source}' not in nodes")
- if edge.target not in nodes:
+ if edge.target not in workflow.nodes:
issues.append(f"edge target '{edge.target}' not in nodes")
- if issues:
- return issues
- g: nx.DiGraph[str] = nx.DiGraph()
- for nid in nodes:
- g.add_node(nid)
- for edge in edges:
- g.add_edge(edge.source, edge.target, condition=edge.condition)
+def _validate_reachability(
+ g: nx.DiGraph, workflow: Workflow, issues: list[str], # type: ignore[type-arg]
+) -> None:
+ # Add implicit edges for fork/join semantics.
+ # ForkNode.targets are reached implicitly (not via explicit edges).
+ # JoinNode.sources flow into the join implicitly.
+ nodes = workflow.nodes
+ for nid, node in nodes.items():
+ if type(node).__name__ == "ForkNode":
+ for t in node.targets: # type: ignore[union-attr]
+ if t in nodes:
+ g.add_edge(nid, t)
+ if type(node).__name__ == "JoinNode":
+ for s in node.sources: # type: ignore[union-attr]
+ if s in nodes:
+ g.add_edge(s, nid)
reachable = nx.descendants(g, workflow.start_node) | {workflow.start_node}
- unreachable = set(nodes.keys()) - reachable
+ unreachable = set(workflow.nodes.keys()) - reachable
for nid in sorted(unreachable):
issues.append(f"node '{nid}' is unreachable from start_node")
+
+def _validate_cycles(
+ g: nx.DiGraph, workflow: Workflow, issues: list[str], # type: ignore[type-arg]
+) -> None:
cycles = list(nx.simple_cycles(g))
for cycle in cycles:
cycle_edges = []
@@ -51,8 +59,8 @@ def validate_workflow(workflow: Workflow) -> list[str]:
has_gate_with_limit = False
for src, tgt in cycle_edges:
- if isinstance(nodes.get(src), GateNode):
- for edge in edges:
+ if type(workflow.nodes.get(src)).__name__ == "GateNode":
+ for edge in workflow.edges:
if edge.source == src and edge.target == tgt and edge.condition is not None:
has_gate_with_limit = True
break
@@ -63,12 +71,18 @@ def validate_workflow(workflow: Workflow) -> list[str]:
cycle_str = " -> ".join(cycle + [cycle[0]])
issues.append(f"cycle without gate condition: {cycle_str}")
- for nid, node in nodes.items():
+
+def _validate_data_dependencies(
+ g: nx.DiGraph, workflow: Workflow, issues: list[str], # type: ignore[type-arg]
+) -> None:
+ for nid, node in workflow.nodes.items():
if node.reads:
predecessors = nx.ancestors(g, nid)
+ if not predecessors:
+ continue
available_writes: set[str] = set()
for pred_id in predecessors:
- pred_node = nodes.get(pred_id)
+ pred_node = workflow.nodes.get(pred_id)
if pred_node:
available_writes |= pred_node.writes
missing = node.reads - available_writes
@@ -77,15 +91,66 @@ def validate_workflow(workflow: Workflow) -> list[str]:
f"node '{nid}' reads {missing} but no predecessor writes them"
)
- for nid, node in nodes.items():
- if isinstance(node, ForkNode):
- for t in node.targets:
- if t not in nodes:
+
+def _validate_fork_join_nodes(workflow: Workflow, issues: list[str]) -> None:
+ for nid, node in workflow.nodes.items():
+ if type(node).__name__ == "ForkNode":
+ for t in node.targets: # type: ignore[union-attr]
+ if t not in workflow.nodes:
issues.append(f"fork '{nid}' target '{t}' not in nodes")
- if isinstance(node, JoinNode):
- for s in node.sources:
- if s not in nodes:
+ if type(node).__name__ == "JoinNode":
+ for s in node.sources: # type: ignore[union-attr]
+ if s not in workflow.nodes:
issues.append(f"join '{nid}' source '{s}' not in nodes")
+ if type(node).__name__ == "SubgraphForkNode":
+ entry = node.subgraph_entry # type: ignore[union-attr]
+ exit_node = node.subgraph_exit # type: ignore[union-attr]
+ if entry not in workflow.nodes:
+ issues.append(f"subgraph_fork '{nid}' entry '{entry}' not in nodes")
+ if exit_node not in workflow.nodes:
+ issues.append(f"subgraph_fork '{nid}' exit '{exit_node}' not in nodes")
+
+
+def validate_workflow(workflow: Workflow) -> list[str]:
+ """Validate a workflow graph. Returns a list of issues (empty = valid)."""
+ issues: list[str] = []
+
+ _validate_start_node(workflow, issues)
+ _validate_edges(workflow, issues)
+
+ if issues:
+ return issues
+
+ g: nx.DiGraph[str] = nx.DiGraph()
+ nodes = workflow.nodes
+ for nid in nodes:
+ g.add_node(nid)
+ for edge in workflow.edges:
+ g.add_edge(edge.source, edge.target, condition=edge.condition)
+
+ # Add implicit edges for SubgraphForkNode: fork → subgraph_entry
+ # so subgraph nodes are reachable in the graph
+ for nid, node in nodes.items():
+ if type(node).__name__ == "SubgraphForkNode":
+ entry = node.subgraph_entry # type: ignore[union-attr]
+ if entry in nodes:
+ g.add_edge(nid, entry, condition=None)
+
+ _validate_reachability(g, workflow, issues)
+ _validate_cycles(g, workflow, issues)
+ _validate_data_dependencies(g, workflow, issues)
+ _validate_fork_join_nodes(workflow, issues)
+
+ for nid, node in nodes.items():
+ if type(node).__name__ == "SubgraphForkNode":
+ entry = node.subgraph_entry # type: ignore[union-attr]
+ exit_node = node.subgraph_exit # type: ignore[union-attr]
+ if entry in nodes and exit_node in nodes:
+ if not nx.has_path(g, entry, exit_node):
+ issues.append(
+ f"subgraph_fork '{nid}': no path from entry '{entry}' to exit '{exit_node}'"
+ )
+
return issues
diff --git a/factory/workflow/verification.py b/factory/workflow/verification.py
new file mode 100644
index 000000000..fc0003857
--- /dev/null
+++ b/factory/workflow/verification.py
@@ -0,0 +1,214 @@
+"""Compile artifact verification from workflow graph definitions.
+
+Pure-function module — no runtime dependencies, no shared state, no side effects.
+Generates deterministic bash verification blocks and Claude Code hook
+configurations from workflow graph post_checks declarations.
+"""
+
+from __future__ import annotations
+
+import json
+import re
+from pathlib import Path
+from typing import Any
+
+from factory.workflow.primitives import AgentNode, ArtifactCheck, Workflow
+
+
+def checks_to_bash(checks: list[ArtifactCheck], node_id: str) -> str:
+ """Convert ArtifactCheck rules into a self-contained bash script.
+
+ Uses only shell-local variables. Exits non-zero on any failure.
+ """
+ lines = [f"# Artifact verification: {node_id}", "_vfail=0"]
+
+ for check in checks:
+ path = check.path
+ escaped_path = path.replace("'", "'\\''")
+ lines.append(f"_f=\"$PROJECT_PATH/{escaped_path}\"")
+
+ if check.must_exist:
+ lines.append(
+ f'[ ! -f "$_f" ] && echo "VERIFY FAIL: {node_id}: {path} missing" && _vfail=1'
+ )
+ lines.append(
+ f'[ -f "$_f" ] && [ ! -s "$_f" ] && echo "VERIFY FAIL: {node_id}: {path} is empty" && _vfail=1'
+ )
+
+ if check.min_size > 0:
+ lines.append(
+ f'[ -f "$_f" ] && [ "$(wc -c < "$_f")" -lt {check.min_size} ] '
+ f'&& echo "VERIFY FAIL: {node_id}: {path} smaller than {check.min_size} bytes" && _vfail=1'
+ )
+
+ if check.must_contain:
+ escaped = "|".join(re.escape(s) for s in check.must_contain)
+ labels = ", ".join(check.must_contain)
+ lines.append(
+ f"[ -f \"$_f\" ] && ! grep -qE '{escaped}' \"$_f\" "
+ f'&& echo "VERIFY FAIL: {node_id}: {path} missing required sentinel ({labels})" && _vfail=1'
+ )
+
+ lines.append(
+ f'[ "$_vfail" -ne 0 ] && echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) VERIFY_FAIL node={node_id}"'
+ f' >> "$PROJECT_PATH/.factory/hooks/hook-log.txt" && exit 1'
+ )
+ lines.append(f'echo "VERIFY OK: {node_id} artifacts validated"')
+ lines.append(
+ f'echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) VERIFY_OK node={node_id}"'
+ f' >> "$PROJECT_PATH/.factory/hooks/hook-log.txt"'
+ )
+
+ return "\n".join(lines)
+
+
+def compile_agent_verification(node: AgentNode) -> str | None:
+ """Compile a verification bash block for an AgentNode.
+
+ If node.post_checks is set, uses those. Otherwise auto-generates
+ must-exist checks from node.writes. Returns None for non-blocking
+ nodes or nodes with no writes.
+ """
+ if not node.blocking:
+ return None
+
+ if node.post_checks:
+ return checks_to_bash(node.post_checks, node.id)
+
+ if not node.writes:
+ return None
+
+ auto_checks = [
+ ArtifactCheck(path=path) for path in sorted(node.writes)
+ ]
+ return checks_to_bash(auto_checks, node.id)
+
+
+def compile_fork_verification(nodes: list[AgentNode]) -> str | None:
+ """Compile a combined verification block for parallel agents.
+
+ Emitted after the wait barrier. Returns None if no agents have writes.
+ """
+ all_checks: list[tuple[str, list[ArtifactCheck]]] = []
+ for node in nodes:
+ if not node.writes and not node.post_checks:
+ continue
+ checks = node.post_checks if node.post_checks else [
+ ArtifactCheck(path=path) for path in sorted(node.writes)
+ ]
+ all_checks.append((node.id, checks))
+
+ if not all_checks:
+ return None
+
+ sections = []
+ for node_id, checks in all_checks:
+ sections.append(checks_to_bash(checks, node_id))
+
+ return "\n\n".join(sections)
+
+
+# ── Hook generation ──────────────────────────────────────────────
+
+
+def generate_hook_script(workflow: Workflow) -> str:
+ """Generate a bash hook script for PostToolUse verification.
+
+ The script reads the JSON payload from stdin (Claude Code passes tool_name,
+ tool_input, and cwd via stdin JSON), detects `factory agent <role>` calls,
+ and verifies the expected artifacts for that role.
+ """
+ agent_checks: list[tuple[str, str]] = []
+
+ for node in workflow.nodes.values():
+ if not isinstance(node, AgentNode):
+ continue
+ if not node.blocking:
+ continue
+ verify = compile_agent_verification(node)
+ if not verify:
+ continue
+ role = node.role.value
+ agent_checks.append((role, verify))
+
+ if not agent_checks:
+ return ""
+
+ lines = [
+ "#!/usr/bin/env bash",
+ "# Auto-generated PostToolUse verification hook",
+ "# Compiled from workflow: " + workflow.name,
+ "",
+ "# Read hook payload from stdin (Claude Code passes JSON)",
+ '_HOOK_INPUT=$(cat)',
+ '_COMMAND=$(echo "$_HOOK_INPUT" | jq -r \'.tool_input.command // empty\')',
+ 'PROJECT_PATH="${CLAUDE_PROJECT_DIR:-$PWD}"',
+ "",
+ '[ -z "$_COMMAND" ] && exit 0',
+ "",
+ "# Log every hook invocation",
+ 'mkdir -p "$PROJECT_PATH/.factory/hooks"',
+ 'echo "$(date -u +%Y-%m-%dT%H:%M:%SZ) HOOK_FIRED command=$_COMMAND"'
+ ' >> "$PROJECT_PATH/.factory/hooks/hook-log.txt"',
+ "",
+ ]
+
+ for i, (role, verify_bash) in enumerate(agent_checks):
+ keyword = "elif" if i > 0 else "if"
+ lines.append(f'{keyword} echo "$_COMMAND" | grep -q "factory agent {role}"; then')
+ for vline in verify_bash.splitlines():
+ lines.append(f" {vline}")
+ lines.append("")
+
+ lines.append("fi")
+ return "\n".join(lines)
+
+
+def generate_verification_settings(
+ workflow: Workflow,
+ hook_script_path: Path,
+) -> dict[str, Any]:
+ """Generate a Claude Code settings dict with PostToolUse verification hooks."""
+ return {
+ "hooks": {
+ "PostToolUse": [
+ {
+ "matcher": "Bash",
+ "hooks": [
+ {
+ "type": "command",
+ "command": str(hook_script_path),
+ "timeout": 30,
+ }
+ ],
+ }
+ ],
+ }
+ }
+
+
+def write_verification_hooks(
+ workflow: Workflow,
+ target_dir: Path,
+) -> Path | None:
+ """Write hook script and settings.json for a workflow into target_dir.
+
+ Returns the settings.json path, or None if the workflow has no checks.
+ """
+ script_content = generate_hook_script(workflow)
+ if not script_content:
+ return None
+
+ hooks_dir = target_dir / ".factory" / "hooks"
+ hooks_dir.mkdir(parents=True, exist_ok=True)
+
+ script_path = hooks_dir / f"verify-{workflow.name}.sh"
+ script_path.write_text(script_content)
+ script_path.chmod(0o755)
+
+ settings = generate_verification_settings(workflow, script_path)
+
+ settings_path = hooks_dir / f"settings-{workflow.name}.json"
+ settings_path.write_text(json.dumps(settings, indent=2))
+
+ return settings_path
diff --git a/factory/worktree.py b/factory/worktree.py
index 271e66225..2fd92eaa2 100644
--- a/factory/worktree.py
+++ b/factory/worktree.py
@@ -1,80 +1,421 @@
"""Git worktree lifecycle management for experiment isolation."""
+from __future__ import annotations
+
+import json
import secrets
import shutil
import subprocess
from pathlib import Path
+from typing import Final
import structlog
-log = structlog.get_logger()
+log = structlog.get_logger()
-def create_worktree(project_path: Path, base_branch: str = "main") -> tuple[Path, str]:
+# Telemetry files to preserve when cleaning up worktrees
+_TELEMETRY_FILES = ("trace_id.txt",)
+
+# .factory entries to seed into experiment worktrees so agents can read project
+# config without sharing mutable eval state (like last_eval.json) across branches.
+_EXPERIMENT_SEED_ENTRIES: Final[tuple[str, ...]] = (
+ "config.json",
+ "eval_profile.json",
+ "strategy",
+ "agents",
+)
+
+# .factory entries symlinked to main — shared, append-only/read-only project state.
+_SHARED_SYMLINK_ENTRIES: Final[tuple[str, ...]] = (
+ "config.json",
+ "eval_profile.json",
+ "results.tsv",
+ "experiments",
+ "archive",
+ "events.jsonl",
+ ".store.lock",
+ "adversarial_state.json",
+ "performance_report.json",
+)
+
+# .factory entries copied from main — read-only but agents may override per-run.
+_COPY_ENTRIES: Final[tuple[str, ...]] = (
+ "agents",
+)
+
+
+def create_worktree(
+ project_path: Path,
+ base_branch: str = "main",
+ run_id: str | None = None,
+) -> tuple[Path, str]:
"""Create an isolated worktree for a factory run.
+ Args:
+ project_path: Path to the project root.
+ base_branch: Branch to create the worktree from.
+ run_id: Optional run identifier. If provided, uses the first 8 chars.
+ If None, generates a random 8-char hex ID.
+
Returns (worktree_path, branch_name).
"""
project_path = project_path.resolve()
- run_id = secrets.token_hex(4)
+
+ # Resolve symbolic refs (HEAD, branch names) to commit SHAs so the
+ # worktree always branches from a deterministic point — critical when
+ # HEAD was just amended (e.g. FeatureBench mask-patch scenario).
+ result = subprocess.run(
+ ["git", "rev-parse", base_branch],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode != 0:
+ if _is_unborn_repo(project_path):
+ _bootstrap_unborn_repo(project_path)
+ result = subprocess.run(
+ ["git", "rev-parse", base_branch],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ check=True,
+ )
+ else:
+ raise RuntimeError(
+ f"Branch '{base_branch}' does not exist in {project_path}. "
+ "Set `target_branch` in .factory/config.json or check your git state."
+ )
+ base_commit = result.stdout.strip()
+
+ if run_id is not None:
+ run_id = run_id[:8]
+ else:
+ run_id = secrets.token_hex(4)
branch = f"factory/run-{run_id}"
factory_dir = project_path / ".factory"
wt_parent = project_path / ".factory-worktrees"
wt_dir = wt_parent / f"run-{run_id}"
- log.info("worktree_create", branch=branch, path=str(wt_dir))
+ log.info("worktree_create", branch=branch, base=base_commit[:12], path=str(wt_dir))
wt_parent.mkdir(parents=True, exist_ok=True)
subprocess.run(
- ["git", "worktree", "add", str(wt_dir), "-b", branch, base_branch],
+ ["git", "worktree", "add", str(wt_dir), "-b", branch, base_commit],
cwd=project_path,
check=True,
capture_output=True,
)
- # Symlink worktree/.factory → the real .factory dir so the CEO can
- # access experiment data from within the worktree.
+ # Create independent .factory/ with selective sharing — shared append-only
+ # state is symlinked, per-cycle mutable state gets fresh directories.
wt_factory = wt_dir / ".factory"
if wt_factory.exists() or wt_factory.is_symlink():
if wt_factory.is_dir() and not wt_factory.is_symlink():
shutil.rmtree(wt_factory)
else:
wt_factory.unlink()
- wt_factory.symlink_to(factory_dir)
+
+ wt_factory.mkdir(parents=True, exist_ok=True)
+
+ for entry in _SHARED_SYMLINK_ENTRIES:
+ src = factory_dir / entry
+ if src.exists():
+ (wt_factory / entry).symlink_to(src)
+
+ for entry in _COPY_ENTRIES:
+ src = factory_dir / entry
+ if src.exists():
+ dst = wt_factory / entry
+ if src.is_dir():
+ shutil.copytree(src, dst)
+ else:
+ shutil.copy2(src, dst)
+
+ (wt_factory / "strategy").mkdir(exist_ok=True)
+ (wt_factory / "reviews").mkdir(exist_ok=True)
+ (wt_factory / "state").mkdir(exist_ok=True)
+
+ backlog_src = factory_dir / "strategy" / "backlog.md"
+ if backlog_src.exists():
+ shutil.copy2(backlog_src, wt_factory / "strategy" / "backlog.md")
+
+ # Copy remaining plugin-created subdirectories not already handled.
+ _handled = set(_SHARED_SYMLINK_ENTRIES) | set(_COPY_ENTRIES)
+ if factory_dir.is_dir():
+ for child in factory_dir.iterdir():
+ if child.name in _handled or not child.is_dir():
+ continue
+ dst = wt_factory / child.name
+ if not dst.exists():
+ shutil.copytree(child, dst)
log.info("worktree_created", branch=branch, path=str(wt_dir))
try:
from factory.events import emit_event
- emit_event(project_path, "worktree.created", data={
- "run_id": run_id,
- "worktree_path": str(wt_dir),
- "branch": branch,
- "base_branch": base_branch,
- })
+
+ emit_event(
+ project_path,
+ "worktree.created",
+ data={
+ "run_id": run_id,
+ "worktree_path": str(wt_dir),
+ "branch": branch,
+ "base_branch": base_branch,
+ },
+ )
except Exception:
pass
return wt_dir, branch
+def create_experiment_worktree(
+ project_path: Path,
+ exp_id: int,
+ base_commit: str,
+) -> tuple[Path, str]:
+ """Create an isolated worktree for a parallel experiment branch.
+
+ Each worktree gets its own `.factory/` directory (not a symlink) seeded
+ with read-only config from the project. This ensures parallel branches
+ write independent `last_eval.json` files so the selection node can
+ compare genuinely separate scores.
+
+ Returns (worktree_path, branch_name).
+ """
+ project_path = project_path.resolve()
+ branch = f"factory/exp-{exp_id}"
+ factory_dir = project_path / ".factory"
+ wt_parent = project_path / ".factory-worktrees"
+ wt_dir = wt_parent / f"exp-{exp_id}"
+
+ log.info("experiment_worktree_create", branch=branch, base=base_commit[:12], exp_id=exp_id)
+
+ wt_parent.mkdir(parents=True, exist_ok=True)
+ subprocess.run(
+ ["git", "worktree", "add", str(wt_dir), "-b", branch, base_commit],
+ cwd=project_path,
+ check=True,
+ capture_output=True,
+ )
+
+ _seed_experiment_factory(factory_dir, wt_dir / ".factory")
+
+ log.info("experiment_worktree_created", branch=branch, path=str(wt_dir))
+
+ try:
+ from factory.events import emit_event
+
+ emit_event(
+ project_path,
+ "experiment_worktree.created",
+ data={
+ "exp_id": exp_id,
+ "worktree_path": str(wt_dir),
+ "branch": branch,
+ "base_commit": base_commit,
+ },
+ )
+ except Exception:
+ pass
+
+ return wt_dir, branch
+
+
+def _seed_experiment_factory(source: Path, dest: Path) -> None:
+ """Copy config entries from the project .factory/ into an experiment worktree.
+
+ Only copies entries listed in _EXPERIMENT_SEED_ENTRIES so that mutable
+ runtime state (results.tsv, experiments/, last_eval.json) stays independent.
+ """
+ if dest.is_symlink():
+ dest.unlink()
+ elif dest.is_dir():
+ shutil.rmtree(dest)
+ dest.mkdir(parents=True, exist_ok=True)
+
+ if not source.is_dir():
+ return
+
+ for entry_name in _EXPERIMENT_SEED_ENTRIES:
+ src = source / entry_name
+ dst = dest / entry_name
+ if not src.exists():
+ continue
+ if src.is_dir():
+ shutil.copytree(src, dst)
+ else:
+ shutil.copy2(src, dst)
+
+
+def _sync_backlog_to_main(worktree_path: Path, project_path: Path) -> None:
+ """Sync backlog changes from worktree back to main .factory/."""
+ wt_backlog = worktree_path / ".factory" / "strategy" / "backlog.md"
+ main_backlog = project_path / ".factory" / "strategy" / "backlog.md"
+ if wt_backlog.exists() and not wt_backlog.is_symlink():
+ main_backlog.parent.mkdir(parents=True, exist_ok=True)
+ shutil.copy2(wt_backlog, main_backlog)
+ log.info("backlog_synced", src=str(wt_backlog), dst=str(main_backlog))
+
+
+_BOOTSTRAP_FACTORY_FILES: Final[tuple[str, ...]] = (
+ "config.json",
+ "eval_profile.json",
+)
+
+
+def _sync_bootstrap_to_main(worktree_path: Path, project_path: Path) -> None:
+ """Sync bootstrap artifacts from worktree back to main project.
+
+ Only copies files that are real (not symlinks), meaning they were freshly
+ created during this run rather than symlinked from main.
+ """
+ wt_factory = worktree_path / ".factory"
+ main_factory = project_path / ".factory"
+
+ if not wt_factory.exists():
+ return
+
+ main_factory.mkdir(parents=True, exist_ok=True)
+ for filename in _BOOTSTRAP_FACTORY_FILES:
+ src = wt_factory / filename
+ if src.exists() and not src.is_symlink():
+ dst = main_factory / filename
+ if not dst.exists():
+ shutil.copy2(src, dst)
+ log.info("bootstrap_synced", file=filename, src=str(src), dst=str(dst))
+
+ wt_factory_md = worktree_path / "factory.md"
+ main_factory_md = project_path / "factory.md"
+ if wt_factory_md.exists() and not wt_factory_md.is_symlink() and not main_factory_md.exists():
+ shutil.copy2(wt_factory_md, main_factory_md)
+ log.info("bootstrap_synced", file="factory.md", src=str(wt_factory_md), dst=str(main_factory_md))
+
+
+def _preserve_telemetry(worktree_path: Path, project_path: Path) -> None:
+ """Copy telemetry files from worktree .factory/ to main project .factory/."""
+ wt_factory = worktree_path / ".factory"
+ main_factory = project_path / ".factory"
+
+ if not wt_factory.exists():
+ return
+
+ main_factory.mkdir(parents=True, exist_ok=True)
+ for filename in _TELEMETRY_FILES:
+ src = wt_factory / filename
+ if src.exists():
+ dst = main_factory / filename
+ shutil.copy2(src, dst)
+ log.info("telemetry_preserved", file=filename, src=str(src), dst=str(dst))
+
+
+def _has_active_sessions(worktree_path: Path) -> bool:
+ """Check if any Claude Code sessions are active in the worktree.
+
+ Returns True if active sessions found, False otherwise.
+ Fails open: returns False on any error so removal proceeds.
+ """
+ try:
+ result = subprocess.run(
+ ["claude", "agents", "--json", "--cwd", str(worktree_path)],
+ capture_output=True,
+ text=True,
+ timeout=5,
+ )
+ if result.returncode != 0:
+ return False
+ sessions = json.loads(result.stdout)
+ if not isinstance(sessions, list):
+ return False
+ return any(
+ isinstance(s, dict) and s.get("state") in ("working", "blocked") for s in sessions
+ )
+ except (subprocess.TimeoutExpired, json.JSONDecodeError, ValueError, OSError):
+ return False
+
+
+def _should_remove_worktree(branch: str) -> bool:
+ """Check whether a worktree should be removed based on config.
+
+ Experiment branches (factory/exp-*) are always removed regardless of config.
+ For run branches, consults FACTORY_REMOVE_WORKTREE (default: true).
+ """
+ if branch.startswith("factory/exp-"):
+ return True
+
+ from factory import user_config
+
+ value = user_config.resolve(
+ "remove_worktree", env_var="FACTORY_REMOVE_WORKTREE", default="true"
+ )
+ return (value or "true").lower() in ("true", "1", "yes")
+
+
def remove_worktree(project_path: Path, worktree_path: Path, branch: str) -> None:
"""Remove a worktree and its branch. Safe to call on already-removed paths."""
log.info("worktree_remove", branch=branch, path=str(worktree_path))
run_id = branch.removeprefix("factory/run-")
+
+ if worktree_path.exists():
+ if _has_active_sessions(worktree_path):
+ log.warning(
+ "worktree_remove_skipped",
+ reason="active_sessions",
+ path=str(worktree_path),
+ branch=branch,
+ )
+ return
+ if not _should_remove_worktree(branch):
+ log.info(
+ "worktree_remove_skipped",
+ reason="retention_enabled",
+ path=str(worktree_path),
+ branch=branch,
+ )
+ try:
+ from factory.events import emit_event
+
+ emit_event(
+ project_path,
+ "worktree.retained",
+ data={
+ "run_id": run_id,
+ "branch": branch,
+ "worktree_path": str(worktree_path),
+ },
+ )
+ except Exception:
+ pass
+ import sys
+
+ print(
+ f"Worktree retained: {worktree_path}\n"
+ f"To clean up: git worktree remove {worktree_path} && git branch -D {branch}",
+ file=sys.stderr,
+ )
+ return
+ _sync_backlog_to_main(worktree_path, project_path)
+ _sync_bootstrap_to_main(worktree_path, project_path)
+ _preserve_telemetry(worktree_path, project_path)
+ shutil.rmtree(worktree_path)
+
try:
from factory.events import emit_event
- emit_event(project_path, "worktree.removed", data={
- "run_id": run_id,
- "branch": branch,
- })
+
+ emit_event(
+ project_path,
+ "worktree.removed",
+ data={
+ "run_id": run_id,
+ "branch": branch,
+ },
+ )
except Exception:
pass
- if worktree_path.exists():
- shutil.rmtree(worktree_path)
-
subprocess.run(
["git", "worktree", "prune"],
cwd=project_path,
@@ -115,11 +456,17 @@ def prune_stale(project_path: Path) -> list[str]:
active = _list_active_worktrees(project_path)
for d in wt_parent.iterdir():
if d.is_dir() and str(d.resolve()) not in active:
- run_id = d.name.removeprefix("run-")
+ name = d.name
+ if name.startswith("exp-"):
+ branch = f"factory/{name}"
+ else:
+ branch = f"factory/run-{name.removeprefix('run-')}"
+ if not _should_remove_worktree(branch):
+ log.info("worktree_prune_skipped", reason="retention_enabled", name=name)
+ continue
shutil.rmtree(d)
- pruned.append(f"Removed orphaned directory: {d.name}")
- log.info("worktree_pruned_orphan", name=d.name)
- branch = f"factory/run-{run_id}"
+ pruned.append(f"Removed orphaned directory: {name}")
+ log.info("worktree_pruned_orphan", name=name)
subprocess.run(
["git", "branch", "-D", branch],
cwd=project_path,
@@ -132,6 +479,28 @@ def prune_stale(project_path: Path) -> list[str]:
return pruned
+def _is_unborn_repo(project_path: Path) -> bool:
+ """Return True if the repo exists but has no commits (unborn HEAD)."""
+ result = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ )
+ return result.returncode != 0
+
+
+def _bootstrap_unborn_repo(project_path: Path) -> None:
+ """Create an initial empty commit so worktrees can branch from it."""
+ log.info("bootstrap_unborn_repo", path=str(project_path))
+ subprocess.run(
+ ["git", "commit", "--allow-empty", "-m", "init (factory bootstrap)"],
+ cwd=project_path,
+ capture_output=True,
+ check=True,
+ )
+
+
def detect_default_branch(project_path: Path) -> str:
"""Detect the default branch for a git repository.
@@ -165,7 +534,7 @@ def detect_default_branch(project_path: Path) -> str:
log.debug("detect_default_branch", source="probe", branch=candidate)
return candidate
- # Current branch
+ # Current branch (works on repos with commits)
result = subprocess.run(
["git", "rev-parse", "--abbrev-ref", "HEAD"],
cwd=project_path,
@@ -178,6 +547,18 @@ def detect_default_branch(project_path: Path) -> str:
log.debug("detect_default_branch", source="current_head", branch=branch)
return branch
+ # Unborn repo: rev-parse fails but symbolic-ref still resolves HEAD
+ result = subprocess.run(
+ ["git", "symbolic-ref", "--short", "HEAD"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ )
+ if result.returncode == 0 and result.stdout.strip():
+ branch = result.stdout.strip()
+ log.debug("detect_default_branch", source="symbolic_ref", branch=branch)
+ return branch
+
log.debug("detect_default_branch", source="fallback", branch="main")
return "main"
@@ -191,7 +572,5 @@ def _list_active_worktrees(project_path: Path) -> set[str]:
text=True,
)
return {
- line.split(" ", 1)[1]
- for line in result.stdout.splitlines()
- if line.startswith("worktree ")
+ line.split(" ", 1)[1] for line in result.stdout.splitlines() if line.startswith("worktree ")
}
diff --git a/hooks/link_rewrite.py b/hooks/link_rewrite.py
new file mode 100644
index 000000000..29a2a5983
--- /dev/null
+++ b/hooks/link_rewrite.py
@@ -0,0 +1,36 @@
+"""MkDocs hook: rewrite docs/-prefixed links for index.md.
+
+README.md body content is included into docs/index.md via pymdownx.snippets.
+Links in that content use docs/foo.md so GitHub resolves them from the repo
+root. This hook expands the snippet include and strips the docs/ prefix BEFORE
+MkDocs markdown processing, so link validation sees the corrected paths.
+
+Uses on_page_markdown (pre-render) and manually expands the snippet to run
+ahead of both pymdownx.snippets and MkDocs link validation.
+"""
+
+import re
+from pathlib import Path
+
+
+def on_page_markdown(markdown: str, page, config, files, **kwargs) -> str:
+ if page.file.src_path != "index.md":
+ return markdown
+
+ readme = Path(config["docs_dir"]).parent / "README.md"
+ if not readme.exists():
+ return markdown
+
+ content = readme.read_text()
+ start_marker = "<!-- --8<-- [start:body] -->"
+ end_marker = "<!-- --8<-- [end:body] -->"
+ start = content.find(start_marker)
+ end = content.find(end_marker)
+ if start == -1 or end == -1:
+ return markdown
+
+ body = content[start + len(start_marker) : end].strip()
+ body = re.sub(r"\]\(docs/([^)]+)\)", r"](\1)", body)
+
+ markdown = markdown.replace('--8<-- "README.md:body"', body)
+ return markdown
diff --git a/mkdocs.yml b/mkdocs.yml
index f025d683d..a7d645b23 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -6,18 +6,21 @@ repo_name: akashgit/remote-factory
theme:
name: material
+ font:
+ text: Inter
+ code: JetBrains Mono
palette:
- - media: "(prefers-color-scheme: light)"
+ - media: '(prefers-color-scheme: light)'
scheme: default
- primary: deep purple
- accent: amber
+ primary: black
+ accent: black
toggle:
icon: material/brightness-7
name: Switch to dark mode
- - media: "(prefers-color-scheme: dark)"
+ - media: '(prefers-color-scheme: dark)'
scheme: slate
- primary: deep purple
- accent: amber
+ primary: black
+ accent: white
toggle:
icon: material/brightness-4
name: Switch to light mode
@@ -25,13 +28,15 @@ theme:
- navigation.instant
- navigation.tracking
- navigation.sections
- - navigation.expand
- navigation.top
- content.code.copy
- toc.follow
icon:
repo: fontawesome/brands/github
+hooks:
+ - hooks/link_rewrite.py
+
extra_css:
- stylesheets/extra.css
@@ -55,18 +60,24 @@ markdown_extensions:
- md_in_html
- toc:
permalink: true
+ toc_depth: 2
nav:
- - Home: index.md
+ - "re:factory": index.md
- Getting Started:
- Quick Start: getting-started.md
- Setup: setup.md
- Configuration: configuration.md
- Concepts:
- Architecture: architecture.md
+ - Plugins — Build Your Own Factory: plugins.md
- Eval System: eval.md
- Self-Improvement Loop: self-improvement.md
+ - Outer Loop: outer-loop.md
- ACE Playbook Evolution: ace.md
+ - Contained Runtimes: contained/index.md
- Benchmarks: benchmarks.md
+ - Full Eval: full-eval.md
- Contributing: contributing.md
+ - Contributing Benchmarks: contributing-benchmarks.md
- Changelog: changelog.md
diff --git a/pyproject.toml b/pyproject.toml
index 26d6d9368..651afc3e1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
[project]
name = "remote-factory"
-version = "0.2.0"
+dynamic = ["version"]
description = "A harness for agentic software evolution — detect, delegate, evaluate, archive"
requires-python = ">=3.11"
dependencies = [
@@ -12,6 +12,10 @@ dependencies = [
"pyyaml>=6.0",
"filelock>=3.0",
"networkx>=3.6.1",
+ "langfuse>=3.0",
+ "anthropic[vertex]>=0.52",
+ "mempalace>=3.6.0",
+ "graphifyy>=0.9",
]
classifiers = [
"Development Status :: 4 - Beta",
@@ -31,12 +35,23 @@ Issues = "https://github.com/akashgit/remote-factory/issues"
[project.optional-dependencies]
migrate = ["tomli_w>=1.0"]
-telemetry = ["langfuse>=3.0"]
+telemetry = ["langfuse>=3.0"] # kept for backward compat; langfuse is now a core dep
[build-system]
-requires = ["hatchling"]
+requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
+[tool.hatch.version]
+source = "vcs"
+
+[tool.hatch.version.raw-options]
+git_describe_command = ["git", "describe", "--dirty", "--tags", "--long", "--match", "v*"]
+version_scheme = "guess-next-dev"
+fallback_version = "0.0.0"
+
+[tool.hatch.build.hooks.vcs]
+version-file = "factory/_version.py"
+
[tool.hatch.build.targets.wheel]
packages = ["factory"]
@@ -45,11 +60,27 @@ factory = "factory.cli:main"
[tool.pytest.ini_options]
asyncio_mode = "auto"
+strict_markers = true
markers = [
"real_worktree: use real git worktree functions instead of mocks",
"slow: tests that make real API calls (deselect with -m 'not slow')",
+ "smoke: fast smoke tests for core factory modes (detect, discover, study, design, create, agent, refactory)",
+ "e2e: end-to-end tests that exercise full CLI pipelines",
]
+[tool.coverage.run]
+branch = true
+source = ["factory"]
+omit = [
+ "tests/*",
+ "eval/*",
+ "factory/dashboard/*",
+]
+
+[tool.coverage.report]
+show_missing = true
+skip_empty = true
+
[tool.ruff]
line-length = 100
extend-exclude = ["mkdocs.yml"]
@@ -61,6 +92,8 @@ dev = [
"ruff>=0.8",
"mypy>=1.10",
"pytest-cov>=5.0",
+ "pytest-xdist>=3.5",
+ "pytest-timeout>=2.0",
"httpx>=0.27",
"types-pyyaml>=6.0",
"types-networkx>=3.6.1.20260612",
diff --git a/scripts/conflict_detector.py b/scripts/conflict_detector.py
new file mode 100644
index 000000000..c89ca59d5
--- /dev/null
+++ b/scripts/conflict_detector.py
@@ -0,0 +1,286 @@
+#!/usr/bin/env python3
+"""Detect merge conflicts between open PRs and main, track hotspot files.
+
+Usage:
+ python scripts/conflict_detector.py detect [--include-drafts] [--data-file conflicts.jsonl]
+ python scripts/conflict_detector.py report [--days 30] [--top 10] [--data-file conflicts.jsonl] [--issue N]
+ python scripts/conflict_detector.py summary [--days 30] [--top 10] [--data-file conflicts.jsonl]
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import re
+import subprocess
+import sys
+from collections import Counter
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+
+
+def _run(cmd: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ return subprocess.run(cmd, capture_output=True, text=True, **kwargs)
+
+
+def list_open_prs(include_drafts: bool = False) -> list[dict]:
+ result = _run(["gh", "pr", "list", "--state", "open", "--json", "number,headRefName,isDraft", "--limit", "200"])
+ if result.returncode != 0:
+ print(f"Error listing PRs: {result.stderr.strip()}", file=sys.stderr)
+ return []
+ prs = json.loads(result.stdout)
+ if not include_drafts:
+ prs = [pr for pr in prs if not pr.get("isDraft", False)]
+ return prs
+
+
+def check_conflicts(branch: str) -> list[str]:
+ result = _run(["git", "merge-tree", "--write-tree", "origin/main", f"origin/{branch}"])
+ if result.returncode == 0:
+ return []
+ conflict_files = []
+ for line in result.stdout.splitlines():
+ m = re.match(r"CONFLICT \([^)]+\):\s+Merge conflict in (.+)", line)
+ if m:
+ conflict_files.append(m.group(1))
+ continue
+ m = re.match(r"CONFLICT \([^)]+\):\s+(.+) deleted in .+ and modified in", line)
+ if m:
+ conflict_files.append(m.group(1))
+ continue
+ m = re.match(r"CONFLICT \([^)]+\):\s+(.+) added in .+ and .+", line)
+ if m:
+ conflict_files.append(m.group(1))
+ return conflict_files
+
+
+def run_detect(args: argparse.Namespace) -> int:
+ data_file = Path(args.data_file)
+ prs = list_open_prs(include_drafts=args.include_drafts)
+ if not prs:
+ print("No open PRs found.")
+ return 0
+
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ conflicts_found = 0
+ events: list[dict] = []
+
+ for pr in prs:
+ pr_num = pr["number"]
+ branch = pr["headRefName"]
+ conflict_files = check_conflicts(branch)
+ if conflict_files:
+ conflicts_found += 1
+ event = {
+ "timestamp": now,
+ "pr_number": pr_num,
+ "pr_branch": branch,
+ "conflict_files": conflict_files,
+ "total_open_prs": len(prs),
+ }
+ events.append(event)
+ print(f" PR #{pr_num} ({branch}): {len(conflict_files)} conflicting file(s) — {', '.join(conflict_files)}")
+
+ if events:
+ with open(data_file, "a") as f:
+ for event in events:
+ f.write(json.dumps(event, separators=(",", ":")) + "\n")
+
+ print(f"\nChecked {len(prs)} PRs, {conflicts_found} have conflicts.")
+ return 1 if conflicts_found > 0 else 0
+
+
+def run_report(args: argparse.Namespace) -> int:
+ data_file = Path(args.data_file)
+ if not data_file.exists():
+ print("No conflict data found. Run 'detect' first.")
+ return 0
+
+ cutoff = datetime.now(timezone.utc) - timedelta(days=args.days)
+ file_counter: Counter[str] = Counter()
+ file_last_seen: dict[str, str] = {}
+ file_prs: dict[str, set[int]] = {}
+
+ with open(data_file) as f:
+ for line in f:
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ event = json.loads(line)
+ except json.JSONDecodeError as e:
+ print(f"Warning: skipping malformed line: {e}", file=sys.stderr)
+ continue
+ ts = datetime.fromisoformat(event["timestamp"].replace("Z", "+00:00"))
+ if ts < cutoff:
+ continue
+ for fp in event["conflict_files"]:
+ file_counter[fp] += 1
+ prev = file_last_seen.get(fp, "")
+ if event["timestamp"] > prev:
+ file_last_seen[fp] = event["timestamp"]
+ file_prs.setdefault(fp, set()).add(event["pr_number"])
+
+ if not file_counter:
+ print(f"No conflicts recorded in the last {args.days} days.")
+ return 0
+
+ top_files = file_counter.most_common(args.top)
+ lines = [
+ f"## Conflict Hotspots (last {args.days} days)\n",
+ "| Rank | File | Conflicts | Last Seen | PRs Affected |",
+ "|------|------|-----------|-----------|--------------|",
+ ]
+ for rank, (fp, count) in enumerate(top_files, 1):
+ last = file_last_seen[fp][:10]
+ pr_list = ", ".join(f"#{n}" for n in sorted(file_prs[fp]))
+ lines.append(f"| {rank} | `{fp}` | {count} | {last} | {pr_list} |")
+
+ report = "\n".join(lines)
+ print(report)
+
+ if args.issue:
+ result = _run(["gh", "issue", "comment", str(args.issue), "--body", report])
+ if result.returncode != 0:
+ print(f"Error posting to issue: {result.stderr.strip()}", file=sys.stderr)
+ return 1
+ print(f"\nPosted report to issue #{args.issue}.")
+
+ return 0
+
+
+def run_summary(args: argparse.Namespace) -> int:
+ """Generate GitHub Actions Job Summary dashboard in GFM format."""
+ data_file = Path(args.data_file)
+ now = datetime.now(timezone.utc)
+ run_date = now.strftime("%Y-%m-%d %H:%M UTC")
+
+ # Get currently open PRs
+ prs = list_open_prs(include_drafts=False)
+ total_prs = len(prs)
+
+ # Find currently conflicting PRs
+ current_conflicts: list[dict] = []
+ for pr in prs:
+ pr_num = pr["number"]
+ branch = pr["headRefName"]
+ conflict_files = check_conflicts(branch)
+ if conflict_files:
+ current_conflicts.append({
+ "pr_number": pr_num,
+ "branch": branch,
+ "conflict_files": conflict_files,
+ })
+
+ # Load historical data for hotspot analysis
+ hotspot_data: dict[str, int] = {}
+ if data_file.exists():
+ cutoff = now - timedelta(days=args.days)
+ file_counter: Counter[str] = Counter()
+
+ with open(data_file) as f:
+ for line in f:
+ line = line.strip()
+ if not line:
+ continue
+ try:
+ event = json.loads(line)
+ except json.JSONDecodeError:
+ continue
+ ts = datetime.fromisoformat(event["timestamp"].replace("Z", "+00:00"))
+ if ts < cutoff:
+ continue
+ for fp in event["conflict_files"]:
+ file_counter[fp] += 1
+
+ hotspot_data = dict(file_counter.most_common(args.top))
+
+ # Generate summary
+ lines = [f"# PR Conflict Detector — {run_date}\n"]
+
+ if not current_conflicts and not hotspot_data:
+ lines.append("✅ **No conflicts detected** — all open PRs merge cleanly with `main`.\n")
+ print("\n".join(lines))
+ return 0
+
+ # Summary stats
+ conflicting_count = len(current_conflicts)
+ lines.append(f"**Checked:** {total_prs} open PRs | **Conflicting:** {conflicting_count}\n")
+
+ # Current conflicts table
+ if current_conflicts:
+ lines.append("## Currently Conflicting PRs\n")
+ lines.append("| PR | Branch | Conflicting Files |")
+ lines.append("|----|--------|-------------------|")
+ for conflict in current_conflicts:
+ pr_num = conflict["pr_number"]
+ branch = conflict["branch"]
+ files = ", ".join(f"`{f}`" for f in conflict["conflict_files"])
+ lines.append(f"| #{pr_num} | `{branch}` | {files} |")
+ lines.append("")
+
+ # Hotspot chart (Mermaid xychart-beta)
+ if hotspot_data:
+ lines.append(f"## Hotspot Files (last {args.days} days)\n")
+ top_files = list(hotspot_data.items())[:args.top]
+
+ # Mermaid xychart-beta
+ lines.append("```mermaid")
+ lines.append("---")
+ lines.append("config:")
+ lines.append(" xychart-beta:")
+ lines.append(" width: 900")
+ lines.append(" height: 400")
+ lines.append("---")
+ lines.append("xychart-beta")
+ lines.append(' title "Conflict Frequency by File"')
+ lines.append(' x-axis [' + ", ".join(f'"{Path(fp).name}"' for fp, _ in top_files) + ']')
+ lines.append(' y-axis "Conflicts" 0 --> ' + str(max(c for _, c in top_files) + 1))
+ lines.append(' bar [' + ", ".join(str(count) for _, count in top_files) + ']')
+ lines.append("```\n")
+
+ # Hotspot table
+ lines.append("### Hotspot Details\n")
+ lines.append("| Rank | File | Conflict Count |")
+ lines.append("|------|------|----------------|")
+ for rank, (fp, count) in enumerate(top_files, 1):
+ lines.append(f"| {rank} | `{fp}` | {count} |")
+ lines.append("")
+
+ print("\n".join(lines))
+ return 0
+
+
+def main(argv: list[str] | None = None) -> int:
+ parser = argparse.ArgumentParser(description="Detect PR merge conflicts and track hotspot files.")
+ sub = parser.add_subparsers(dest="command")
+
+ detect_p = sub.add_parser("detect", help="Check open PRs for conflicts with main")
+ detect_p.add_argument("--include-drafts", action="store_true", help="Include draft PRs")
+ detect_p.add_argument("--data-file", default="conflicts.jsonl", help="Path to JSONL data file")
+
+ report_p = sub.add_parser("report", help="Generate hotspot report from recorded conflicts")
+ report_p.add_argument("--days", type=int, default=30, help="Look back N days (default: 30)")
+ report_p.add_argument("--top", type=int, default=10, help="Show top N files (default: 10)")
+ report_p.add_argument("--data-file", default="conflicts.jsonl", help="Path to JSONL data file")
+ report_p.add_argument("--issue", type=int, default=None, help="Post report as comment on this issue number")
+
+ summary_p = sub.add_parser("summary", help="Generate GitHub Actions Job Summary dashboard")
+ summary_p.add_argument("--days", type=int, default=30, help="Look back N days for hotspot data (default: 30)")
+ summary_p.add_argument("--top", type=int, default=10, help="Show top N hotspot files (default: 10)")
+ summary_p.add_argument("--data-file", default="conflicts.jsonl", help="Path to JSONL data file")
+
+ parsed = parser.parse_args(argv)
+ if parsed.command == "detect":
+ return run_detect(parsed)
+ elif parsed.command == "report":
+ return run_report(parsed)
+ elif parsed.command == "summary":
+ return run_summary(parsed)
+ else:
+ parser.print_help()
+ return 2
+
+
+if __name__ == "__main__":
+ raise SystemExit(main())
diff --git a/scripts/langfuse/analyze_failure.py b/scripts/langfuse/analyze_failure.py
new file mode 100644
index 000000000..404043fd5
--- /dev/null
+++ b/scripts/langfuse/analyze_failure.py
@@ -0,0 +1,335 @@
+#!/usr/bin/env python3
+"""Analyze a failed benchmark run using its Langfuse trace and claude -p.
+
+Usage: python scripts/langfuse/analyze_failure.py <result.json> [--output FILE] [--no-llm] [--summary] [--verbose]
+"""
+from __future__ import annotations
+
+import argparse
+import io
+import json
+import shutil
+import subprocess
+import sys
+from datetime import datetime, timedelta
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent))
+
+from langfuse_client import fetch_trace, list_traces, load_creds
+from pull_langfuse_trace import extract_factory_commands, extract_orchestration, print_report
+
+
+def parse_benchmark_timestamp(ts_str: str) -> datetime:
+ return datetime.strptime(ts_str, "%Y%m%dT%H%M%SZ")
+
+
+def find_matching_trace(
+ benchmark: str,
+ instance_id: str,
+ timestamp: datetime,
+ duration_seconds: int,
+ verbose: bool = False,
+) -> dict | None:
+ from_ts = timestamp - timedelta(minutes=5)
+ to_ts = timestamp + timedelta(seconds=duration_seconds) + timedelta(minutes=5)
+
+ if verbose:
+ print(f"[verbose] Searching traces from {from_ts} to {to_ts}", file=sys.stderr)
+
+ traces = list_traces(from_ts, to_ts)
+ if verbose:
+ print(f"[verbose] Found {len(traces)} traces in window", file=sys.stderr)
+ if not traces:
+ return None
+
+ metadata_matches = []
+ for t in traces:
+ meta = t.get("metadata") or {}
+ if meta.get("benchmark") == benchmark and meta.get("instance_id") == instance_id:
+ metadata_matches.append(t)
+
+ if metadata_matches:
+ if verbose:
+ print(f"[verbose] Matched {len(metadata_matches)} traces by metadata", file=sys.stderr)
+ selected = min(metadata_matches, key=lambda t: t.get("startTime", "") or "")
+ if verbose:
+ print(f"[verbose] Selected trace: {selected['id']} (earliest)", file=sys.stderr)
+ return selected
+
+ candidates = []
+ for t in traces:
+ name = (t.get("name") or "").lower()
+ meta = json.dumps(t.get("metadata") or {}).lower()
+ text = name + " " + meta
+ if benchmark.lower() in text or instance_id.lower() in text:
+ candidates.append(t)
+
+ if verbose:
+ print(f"[verbose] Filtered to {len(candidates)} text candidates", file=sys.stderr)
+
+ if not candidates:
+ return None
+
+ selected = min(candidates, key=lambda t: t.get("startTime", "") or "")
+ if verbose:
+ print(f"[verbose] Selected trace: {selected['id']} (earliest)", file=sys.stderr)
+ return selected
+
+
+def format_trace_dump(trace: dict) -> str:
+ timeline, ceo_reasoning = extract_orchestration(trace, full=True)
+ factory_commands = extract_factory_commands(trace)
+ buf = io.StringIO()
+ print_report(timeline, ceo_reasoning, factory_commands, file=buf)
+ return buf.getvalue()
+
+
+def run_llm_summary(trace_dump: str, benchmark: str, instance_id: str) -> str | None:
+ if not shutil.which("claude"):
+ return None
+
+ prompt = (
+ f"Benchmark: {benchmark}, Instance: {instance_id}. "
+ "Summarize why this benchmark failed in at most 2 sentences. "
+ f"Keep it under 140 characters total. Here is the trace: {trace_dump}"
+ )
+
+ try:
+ result = subprocess.run(
+ ["claude", "-p", prompt],
+ capture_output=True,
+ text=True,
+ timeout=120,
+ )
+ if result.stdout.strip():
+ return result.stdout.strip()
+ except (subprocess.TimeoutExpired, FileNotFoundError, OSError):
+ pass
+ return None
+
+
+def run_llm_analysis(trace_dump: str, benchmark: str, instance_id: str) -> str | None:
+ if not shutil.which("claude"):
+ return None
+
+ prompt = (
+ f"Benchmark: {benchmark}\nInstance: {instance_id}\n\n"
+ "Here is the full trace of a failed benchmark run. "
+ "Analyze it and explain what went wrong.\n\n"
+ f"{trace_dump}"
+ )
+
+ try:
+ result = subprocess.run(
+ ["claude", "-p", prompt],
+ capture_output=True,
+ text=True,
+ timeout=180,
+ )
+ if result.stdout.strip():
+ return result.stdout.strip()
+ except (subprocess.TimeoutExpired, FileNotFoundError, OSError):
+ pass
+ return None
+
+
+def _find_trial_log(result_dir: Path | None, result_data: dict) -> str:
+ if result_dir is None:
+ return ""
+ timestamp = result_data.get("timestamp", "")
+ benchmark = result_data.get("benchmark", "")
+ if timestamp and benchmark:
+ trial_log_path = result_dir / f"{timestamp}-{benchmark}-trial.log"
+ if trial_log_path.exists():
+ content = trial_log_path.read_text(errors="replace")
+ max_size = 50 * 1024
+ if len(content) > max_size:
+ content = content[-max_size:]
+ return content
+ return ""
+
+
+def generate_report(
+ result_data: dict,
+ trace: dict | None,
+ trace_id: str | None,
+ host: str | None,
+ use_llm: bool = True,
+ verbose: bool = False,
+ summary: bool = False,
+ result_dir: Path | None = None,
+) -> str:
+ benchmark = result_data["benchmark"]
+ instance_id = result_data["instance_id"]
+ solver = result_data.get("solver", "unknown")
+ duration = result_data.get("duration_seconds", 0)
+
+ if summary:
+ if trace is not None:
+ if not use_llm:
+ return "No trace available for summary."
+ trace_dump = format_trace_dump(trace)
+ if verbose:
+ print(f"[verbose] Summary trace dump: {len(trace_dump)} chars", file=sys.stderr)
+ text = run_llm_summary(trace_dump, benchmark, instance_id)
+ if text:
+ return text
+ return "No trace available for summary."
+ exception_text = (result_data.get("details") or {}).get("exception", "")
+ trial_log = _find_trial_log(result_dir, result_data)
+ combined = ""
+ if trial_log:
+ combined += f"=== trial.log ===\n{trial_log}\n"
+ if exception_text:
+ combined += f"=== exception ===\n{exception_text}\n"
+ if combined and use_llm:
+ text = run_llm_summary(combined, benchmark, instance_id)
+ if text:
+ return text
+ return "No trace available for summary."
+
+ header = (
+ f"### Failure Analysis: {benchmark} / {instance_id}\n\n"
+ f"**Solver:** {solver}\n"
+ f"**Duration:** {duration}s\n"
+ )
+ if trace_id and host:
+ header += f"**Trace:** [{trace_id}]({host}/trace/{trace_id})\n"
+
+ if trace is None:
+ exception_text = (result_data.get("details") or {}).get("exception", "")
+ trial_log = _find_trial_log(result_dir, result_data)
+ combined = ""
+ if trial_log:
+ combined += f"=== trial.log ===\n{trial_log}\n"
+ if exception_text:
+ combined += f"=== exception ===\n{exception_text}\n"
+ if combined:
+ if use_llm:
+ diagnosis = run_llm_analysis(combined, benchmark, instance_id)
+ if diagnosis:
+ return header + "\n#### Diagnosis\n\n" + diagnosis + "\n"
+ parts = header + "\n#### Harbor Artifacts\n\n"
+ if exception_text:
+ parts += "**Exception:**\n\n" + exception_text + "\n\n"
+ if trial_log:
+ parts += "**Trial Log (last 50KB):**\n\n```\n" + trial_log + "\n```\n"
+ return parts
+ return header + "\nNo matching Langfuse trace found.\n"
+
+ trace_dump = format_trace_dump(trace)
+
+ if use_llm:
+ if verbose:
+ print(f"[verbose] Trace dump: {len(trace_dump)} chars", file=sys.stderr)
+ diagnosis = run_llm_analysis(trace_dump, benchmark, instance_id)
+ if diagnosis:
+ return header + "\n#### Diagnosis\n\n" + diagnosis + "\n"
+
+ return header + "\n#### Trace Timeline\n\n" + trace_dump
+
+
+def main() -> int:
+ parser = argparse.ArgumentParser(
+ description="Analyze a failed benchmark run using its Langfuse trace"
+ )
+ parser.add_argument("result_json", help="Path to benchmark result JSON file")
+ parser.add_argument("--output", "-o", help="Output file (default: stdout)")
+ parser.add_argument("--no-llm", action="store_true", help="Skip LLM analysis, output raw trace")
+ parser.add_argument("--summary", action="store_true", help="Output a short 1-2 sentence summary instead of full analysis")
+ parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output to stderr")
+ args = parser.parse_args()
+
+ result_path = Path(args.result_json)
+ if not result_path.exists():
+ print(f"ERROR: Result file not found: {result_path}", file=sys.stderr)
+ return 1
+
+ try:
+ result_data = json.loads(result_path.read_text())
+ except (json.JSONDecodeError, ValueError) as e:
+ print(f"ERROR: Invalid JSON in {result_path}: {e}", file=sys.stderr)
+ return 1
+
+ if result_data.get("resolved", False):
+ if args.verbose:
+ print("[verbose] Benchmark resolved — nothing to diagnose.", file=sys.stderr)
+ return 0
+
+ solver = result_data.get("solver", "")
+ result_dir = result_path.parent
+
+ if solver == "claude-code":
+ report = generate_report(
+ result_data, trace=None, trace_id=None, host=None,
+ use_llm=not args.no_llm, verbose=args.verbose,
+ summary=args.summary, result_dir=result_dir,
+ )
+ _write_output(report, args.output)
+ return 0
+
+ try:
+ host, _, _ = load_creds()
+ except (KeyError, Exception) as e:
+ print(f"WARNING: Langfuse credentials not available ({e}), skipping.", file=sys.stderr)
+ report = generate_report(
+ result_data, trace=None, trace_id=None, host=None,
+ use_llm=False, result_dir=result_dir,
+ )
+ _write_output(report, args.output)
+ return 0
+
+ trace, trace_id = None, None
+
+ direct_trace_id = (result_data.get("details") or {}).get("trace_id", "")
+ if direct_trace_id:
+ print(f"Using direct trace ID: {direct_trace_id}", file=sys.stderr)
+ trace_id = direct_trace_id
+ try:
+ trace = fetch_trace(trace_id, use_cache=False)
+ except Exception as e:
+ print(f"WARNING: Failed to fetch direct trace {trace_id}: {e}", file=sys.stderr)
+ else:
+ try:
+ ts_str = result_data.get("timestamp", "")
+ benchmark = result_data.get("benchmark", "")
+ instance_id = result_data.get("instance_id", "")
+ timestamp = parse_benchmark_timestamp(ts_str)
+ matched = find_matching_trace(
+ benchmark, instance_id, timestamp,
+ result_data.get("duration_seconds", 0),
+ verbose=args.verbose,
+ )
+ if matched:
+ trace_id = matched.get("id")
+ if args.verbose:
+ print(f"[verbose] Matched trace: {trace_id}", file=sys.stderr)
+ trace = fetch_trace(trace_id, use_cache=False)
+ else:
+ print(f"WARNING: No matching trace for {benchmark}/{instance_id}", file=sys.stderr)
+ except (ValueError, KeyError) as e:
+ print(f"WARNING: Could not search for trace: {e}", file=sys.stderr)
+ except Exception as e:
+ print(f"WARNING: Trace fetch failed: {e}", file=sys.stderr)
+
+ report = generate_report(
+ result_data, trace=trace, trace_id=trace_id, host=host,
+ use_llm=not args.no_llm, verbose=args.verbose,
+ summary=args.summary, result_dir=result_dir,
+ )
+ _write_output(report, args.output)
+ return 0
+
+
+def _write_output(report: str, output_path: str | None) -> None:
+ if output_path:
+ Path(output_path).parent.mkdir(parents=True, exist_ok=True)
+ Path(output_path).write_text(report)
+ print(f"Analysis written to {output_path}", file=sys.stderr)
+ else:
+ print(report)
+
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/scripts/langfuse/analyze_trace.py b/scripts/langfuse/analyze_trace.py
index 5b923d844..9b6e45992 100644
--- a/scripts/langfuse/analyze_trace.py
+++ b/scripts/langfuse/analyze_trace.py
@@ -34,7 +34,9 @@
AGENT_COLORS = {
"ceo": "#2196F3",
"builder": "#4CAF50",
- "qa": "#FF9800",
+ "health_checker": "#FF9800",
+ "code_reviewer": "#FF5722",
+ "adversarial_tester": "#E91E63",
"researcher": "#9C27B0",
"strategist": "#F44336",
"archivist": "#607D8B",
@@ -204,7 +206,8 @@ def make_gantt_chart(timeline: list[dict], output_dir: str, title: str = "") ->
return None
# Determine swim lanes from the roles present
- role_order = ["researcher", "strategist", "builder", "qa", "archivist",
+ role_order = ["researcher", "strategist", "builder", "health_checker",
+ "code_reviewer", "adversarial_tester", "archivist",
"refiner", "failure_analyst"]
present_roles = []
for r in role_order:
diff --git a/scripts/langfuse/langfuse_client.py b/scripts/langfuse/langfuse_client.py
index 330695179..b1ae49b26 100644
--- a/scripts/langfuse/langfuse_client.py
+++ b/scripts/langfuse/langfuse_client.py
@@ -30,6 +30,38 @@ def load_creds() -> tuple[str, str, str]:
return host, pk, sk
+def list_traces(
+ from_ts: datetime,
+ to_ts: datetime,
+ name: str | None = None,
+ limit: int = 100,
+ tags: list[str] | None = None,
+) -> list[dict]:
+ """List traces from Langfuse filtered by time window.
+
+ Returns the 'data' array from the response (first page only).
+ """
+ host, pk, sk = load_creds()
+ params: dict[str, str | int] = {
+ "fromTimestamp": from_ts.strftime("%Y-%m-%dT%H:%M:%S.000Z"),
+ "toTimestamp": to_ts.strftime("%Y-%m-%dT%H:%M:%S.000Z"),
+ "limit": limit,
+ }
+ if name:
+ params["name"] = name
+ if tags:
+ for tag in tags:
+ params["tags"] = tag
+ r = requests.get(
+ f"{host}/api/public/traces",
+ params=params,
+ auth=(pk, sk),
+ timeout=60,
+ )
+ r.raise_for_status()
+ return r.json().get("data", [])
+
+
def fetch_trace(trace_id: str, *, use_cache: bool = True) -> dict:
"""Fetch a trace from Langfuse, with optional local file cache.
diff --git a/scripts/sync_agents.py b/scripts/sync_agents.py
index e8049e1a2..ca0ebdcb5 100644
--- a/scripts/sync_agents.py
+++ b/scripts/sync_agents.py
@@ -16,14 +16,11 @@
from factory.agents.plugin import (
check_agents_in_sync,
- check_codex_agents_in_sync,
generate_agent_content,
- generate_codex_agent_toml,
load_agent_config,
)
_AGENTS_DIR = Path(__file__).resolve().parent.parent / "agents"
-_CODEX_AGENTS_DIR = Path(__file__).resolve().parent.parent / "codex-agents"
def main() -> int:
@@ -31,17 +28,14 @@ def main() -> int:
if check_mode:
out_of_sync = check_agents_in_sync(_AGENTS_DIR)
- codex_out_of_sync = check_codex_agents_in_sync(_CODEX_AGENTS_DIR)
- all_issues = out_of_sync + [f"{r} (codex)" for r in codex_out_of_sync]
- if all_issues:
- print(f"Out of sync: {', '.join(all_issues)}", file=sys.stderr)
+ if out_of_sync:
+ print(f"Out of sync: {', '.join(out_of_sync)}", file=sys.stderr)
print("Run: python scripts/sync_agents.py", file=sys.stderr)
return 1
print("All plugin agents are in sync.")
return 0
_AGENTS_DIR.mkdir(exist_ok=True)
- _CODEX_AGENTS_DIR.mkdir(exist_ok=True)
config = load_agent_config()
for role in config:
@@ -50,14 +44,7 @@ def main() -> int:
out_path.write_text(content)
print(f" {role} -> {out_path}")
- for role in config:
- toml_content = generate_codex_agent_toml(role)
- toml_path = _CODEX_AGENTS_DIR / f"{role}.toml"
- toml_path.write_text(toml_content)
- print(f" {role} -> {toml_path}")
-
- print(f"\nGenerated {len(config)} agent files in {_AGENTS_DIR} (Markdown)")
- print(f"Generated {len(config)} agent files in {_CODEX_AGENTS_DIR} (TOML)")
+ print(f"\nGenerated {len(config)} agent files in {_AGENTS_DIR}")
return 0
diff --git a/skills/study/SKILL.md b/skills/study/SKILL.md
index ebe926a13..b28404b9f 100644
--- a/skills/study/SKILL.md
+++ b/skills/study/SKILL.md
@@ -1,12 +1,12 @@
---
name: study
-description: "Analyze the current codebase using Factory's observation engine. Generates a report covering code quality, eval scores, open issues, backlog items, observability coverage, and improvement opportunities. Use when the user wants to understand the state of their project before making changes."
+description: "Analyze the current codebase using Factory's observation engine and code graph. Generates a report covering code quality, eval scores, structural analysis, open issues, backlog items, observability coverage, and improvement opportunities. Use when the user wants to understand the state of their project before making changes."
disable-model-invocation: true
---
# /factory:study
-Analyze the current codebase and generate an observation report.
+Analyze the current codebase and generate an observation report with structural graph analysis.
## Prerequisites
@@ -17,10 +17,28 @@ command -v factory >/dev/null 2>&1 || uv tool install "${CLAUDE_PLUGIN_ROOT}"
## Execution
```bash
+factory graph update "$(pwd)"
factory study "$(pwd)"
```
-This produces a report at `.factory/strategy/observations.md` covering:
+Check whether a code knowledge graph is available by running `factory graph status "$(pwd)"`.
+
+If the graph is available (status shows node/edge counts), explore the code graph:
+
+```bash
+factory graph query "$(pwd)" "<focus from observations>" --depth 2
+factory graph explain "$(pwd)" "<key node>"
+factory graph path "$(pwd)" "<A>" "<B>"
+```
+
+Write graph findings to `.factory/strategy/graph-context.md`, then combine:
+
+```bash
+cat .factory/strategy/observations.md .factory/strategy/graph-context.md \
+ > .factory/strategy/study-combined.md
+```
+
+The combined report at `.factory/strategy/study-combined.md` covers:
- **Eval scores** — current composite and per-dimension breakdown
- **Open issues** — from GitHub, if available
@@ -28,6 +46,7 @@ This produces a report at `.factory/strategy/observations.md` covering:
- **Observability coverage** — logging density and uninstrumented files
- **Hypothesis budget** — how many improvements to target this cycle
- **Cross-project insights** — patterns from sibling projects (if any)
+- **Structural analysis** — key modules, dependency paths, architectural layers, entry points
For cross-project insights, pass `--projects-dir`:
diff --git a/skills/workflow-build/SKILL.md b/skills/workflow-build/SKILL.md
deleted file mode 100644
index c91b70089..000000000
--- a/skills/workflow-build/SKILL.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-name: workflow-build
-description: "Build a new project from scratch. Runs parallel research, strategy synthesis, implementation, QA verification, and archival. Use when the user says 'build X', 'create X', or the project state is no_repo or incomplete."
-disable-model-invocation: true
-argument-hint: "<project_path> [idea or spec]"
----
-
-# Build Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Phase 1: Research (Parallel)
-
-
-Spawn 3 agents in parallel:
-
-```bash
-factory agent researcher --review-tag similar --task "Similar projects research. Search the web for similar projects, existing solutions, and prior art. Analyze their strengths, weaknesses, and market positioning. Check .factory/archive/ for prior knowledge on similar builds. Write findings to .factory/strategy/research-similar.md covering: similar projects found (with links), what they do well and what's missing, differentiation opportunities.
-Write output to: .factory/strategy/research-similar.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag techstack --task "Tech stack research. Identify the best technology stack for this type of project. Find architecture patterns and best practices. Evaluate framework/library options with trade-offs. Write findings to .factory/strategy/research-techstack.md covering: recommended tech stack with rationale, architecture patterns, framework comparisons.
-Write output to: .factory/strategy/research-techstack.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag pitfalls --task "Pitfalls and scope research. Identify potential pitfalls and common mistakes for this type of project. Research MVP scope best practices. Check .factory/archive/ for lessons from past builds. Write findings to .factory/strategy/research-pitfalls.md covering: potential pitfalls to avoid, MVP scope recommendation, lessons from similar past builds.
-Write output to: .factory/strategy/research-pitfalls.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-wait
-```
-
-## Barrier: Research
-
-
-Wait for all parallel agents to complete: `researcher_similar`, `researcher_techstack`, `researcher_pitfalls`
-
-Read combined outputs: `.factory/strategy/research-pitfalls.md`, `.factory/strategy/research-similar.md`, `.factory/strategy/research-techstack.md`
-
-Write combined result to: `.factory/strategy/research-combined.md`
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-combined.md`
-3. Assess: Is the research relevant? Does it cover the technology landscape adequately? Check for gaps in similar projects, tech stack analysis, and pitfall coverage.
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `fork_research` (max 3 iterations)*
-
-## Phase 2: Strategist
-
-
-```bash
-factory agent strategist --task "Synthesize a project specification from research. Read ALL tagged research files at .factory/strategy/research-*.md. Produce a complete phased build plan. Phase 1 must be project scaffold + eval harness. Every Phase must have substantive What/Why/Expected impact fields. Build EVERYTHING in this pass. Only defer items requiring human intervention. Write the plan to .factory/strategy/current.md.
-Read: .factory/strategy/research-combined.md
-Write output to: .factory/strategy/current.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Strategy
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/current.md`
-3. Assess: HARD GATE — Builder MUST NOT start until approved. Check: 1) Depth: every hypothesis has Category/What/Why/Expected impact. 2) Research grounding: architecture and rationale cite research findings. 3) Buildability: a Builder could implement each phase without clarifying questions. 4) Phase 1 is scaffold + eval harness. 5) Deferred section only contains items requiring human intervention. Write PLAN APPROVED in verdict if all checks pass.
-4. Write verdict to `.factory/reviews/ceo-verdict-strategy.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Phase 3: Archivist Plan
-
-
-```bash
-factory agent archivist --task "Archive the approved research and strategy.
-Read: .factory/strategy/current.md
-Write output to: .factory/archive/plan.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
-
-## Phase 4: Builder
-
-
-```bash
-factory agent builder --task "Implement the next phase from .factory/strategy/current.md. Read the CEO's plan approval at .factory/reviews/ceo-verdict-strategist.md. Read CLAUDE.md and factory.md if they exist. Implement exactly what the current phase describes. Run tests. Commit changes and open a draft PR.
-Read: .factory/strategy/current.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Build
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/builder-latest.md`
-3. Assess: Read builder output. Check git log and diff. Does the work match the plan for this phase? If the Builder opened a PR, read it. REDIRECT if off-scope or missed key requirements.
-4. Write verdict to `.factory/reviews/ceo-verdict-build.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-## Phase 5: Qa
-
-
-```bash
-factory agent qa --task "Run health check (factory eval + score delta), code review (correctness, architecture, edge cases, security), and adversarial QA (run/test the built feature). Write results to .factory/reviews/qa-latest.md
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Review QA results. PROCEED if all checks pass. RELOOP to builder (max 3 iterations) if issues found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Phase 6: Archivist Build
-
-
-```bash
-factory agent archivist --task "Archive the build phase results.
-Read: .factory/reviews/qa-latest.md
-Write output to: .factory/archive/build.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
diff --git a/skills/workflow-create/SKILL.md b/skills/workflow-create/SKILL.md
deleted file mode 100644
index 936c4d06d..000000000
--- a/skills/workflow-create/SKILL.md
+++ /dev/null
@@ -1,143 +0,0 @@
----
-name: workflow-create
-description: "Create mode — meta-mode for creating new factory modes from user descriptions. Takes a description (text, spec file, or flow) and produces a fully working workflow definition, SKILL.md, CLI wiring, and tests. Use when the user says 'create a mode for X', 'add a new workflow', or wants to extend the factory with a custom pipeline."
-disable-model-invocation: true
-argument-hint: ""mode description" or /path/to/spec.md"
----
-
-# Create Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Phase 1: Research (Parallel)
-
-
-Spawn 3 agents in parallel:
-
-```bash
-factory agent researcher --review-tag existing --task "Existing workflow analysis. Read factory/workflow/definitions.py and analyze all existing workflow definitions (build, design, improve, research, meta, discover, review, refine). Document common patterns: node sequences, gate conventions, fork/join patterns, archivist placement, edge wiring, trigger functions, reads/writes declarations. Read factory/workflow/primitives.py for available node types and their fields. Read factory/workflow/skill_export.py for WORKFLOW_META format. Write findings to .factory/strategy/research-existing.md covering: node type usage patterns, common subgraphs (builder→gate→qa→gate loop), trigger function conventions, data flow patterns.
-Write output to: .factory/strategy/research-existing.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag intent --task "Mode description analysis. Read the user's mode description from the CEO task. Parse and structure it into a workflow specification: - Purpose and trigger conditions - Agent roles needed (which specialists) - Gate logic (user vs agent vs fn evaluators) - Data flow (what files are read/written) - Interactive vs headless requirements - Input format (text, file, drawing, flow) Write findings to .factory/strategy/research-intent.md covering: structured requirements, node candidates, suggested graph topology.
-Write output to: .factory/strategy/research-intent.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag practices --task "Workflow design best practices. Search the web for workflow and pipeline design patterns relevant to the described mode. Look for: DAG design patterns, agent orchestration patterns, quality gate strategies, error recovery approaches. Check .factory/archive/ for lessons from past mode creation or workflow changes. Write findings to .factory/strategy/research-practices.md covering: relevant design patterns, pitfalls to avoid, testing strategies.
-Write output to: .factory/strategy/research-practices.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-wait
-```
-
-## Barrier: Research
-
-
-Wait for all parallel agents to complete: `researcher_existing`, `researcher_intent`, `researcher_practices`
-
-Read combined outputs: `.factory/strategy/research-existing.md`, `.factory/strategy/research-intent.md`, `.factory/strategy/research-practices.md`
-
-Write combined result to: `.factory/strategy/research-combined.md`
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-combined.md`
-3. Assess: Are the existing workflow patterns well-documented? Is the user's intent clearly structured into workflow requirements? Are best practices relevant to this type of mode? Any gaps?
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `fork_research` (max 3 iterations)*
-
-## Phase 2: Strategist
-
-
-```bash
-factory agent strategist --task "Synthesize a complete workflow specification for a new factory mode. Read ALL tagged research files at .factory/strategy/research-*.md. Produce a complete specification including: 1) Python code for the workflow function (nodes dict, edges list, trigger) 2) WORKFLOW_META entry (description, argument_hint) 3) CLI wiring changes (build_parser mode choices, cmd_ceo routing, _build_ceo_task section) 4) Test cases (graph validation, skill export, trigger function, registration) 5) Node details: for each node, specify id, type, role, prompt_template, reads, writes 6) Edge details: for each edge, specify source, target, condition 7) Interactive vs headless behavior Follow conventions from existing workflows — use the same patterns for builder→gate→QA→gate loops, archivist placement, and research forks. Write the specification to .factory/strategy/current.md.
-Read: .factory/strategy/research-combined.md
-Write output to: .factory/strategy/current.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### Steering Point — Strategy (User Approval)
-
-Present findings to the user. Wait for approval or feedback.
-- **Approve** → proceed to next step
-- **Feedback** → re-run the previous step with corrections
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Phase 3: Archivist Plan
-
-
-```bash
-factory agent archivist --task "Archive the approved workflow specification for the new mode.
-Read: .factory/strategy/current.md
-Write output to: .factory/archive/create-plan.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
-
-## Phase 4: Builder
-
-
-```bash
-factory agent builder --task "Implement the new factory mode from the approved workflow specification. Read the approved spec at .factory/strategy/current.md. Read CLAUDE.md for project conventions. Implementation checklist: 1) Add the workflow function to factory/workflow/definitions.py 2) Register it in register_all() 3) Add WORKFLOW_META entry in factory/workflow/skill_export.py 4) Wire --mode in factory/cli.py (build_parser, cmd_ceo, _build_ceo_task) 5) Run factory workflow validate <name> to verify the graph 6) Run factory workflow export-skills to generate the SKILL.md 7) Write tests in tests/ 8) Run pytest and ruff check to verify Commit changes and open a draft PR.
-Read: .factory/strategy/current.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Build
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/builder-latest.md`
-3. Assess: Read builder output and PR diff. Does work match the approved spec? Verify: workflow function exists, registered in register_all(), WORKFLOW_META entry added, CLI wiring complete, tests written. REDIRECT if any component is missing.
-4. Write verdict to `.factory/reviews/ceo-verdict-build.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-## Phase 5: Qa
-
-
-```bash
-factory agent qa --task "Verify the new factory mode end-to-end. 1. Health Check — run pytest, ruff check, mypy. Report results. 2. Code Review — read PR diff, evaluate correctness, architecture, edge cases, security. Verify workflow graph validates. 3. Adversarial QA — actually test the new mode: - Run: factory workflow validate <name> - Run: factory workflow show <name> - Run: factory workflow export-skills --verify - Verify SKILL.md was generated under skills/workflow-<name>/ - Check CLI recognizes --mode <name> (factory ceo --help) - Check the workflow handles both interactive and headless paths Write results to .factory/reviews/qa-latest.md
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Review QA results for the new mode. PROCEED if all checks pass: workflow validates, SKILL.md generated, tests pass, CLI recognizes mode. RELOOP to builder (max 3 iterations) if issues found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Phase 6: Archivist Build
-
-
-```bash
-factory agent archivist --task "Archive the new mode build results and learnings.
-Read: .factory/reviews/qa-latest.md
-Write output to: .factory/archive/create-build.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
diff --git a/skills/workflow-design/SKILL.md b/skills/workflow-design/SKILL.md
deleted file mode 100644
index d173430bb..000000000
--- a/skills/workflow-design/SKILL.md
+++ /dev/null
@@ -1,143 +0,0 @@
----
-name: workflow-design
-description: "Interactive design mode — identical to build but with a user approval gate at strategy. Use when the user says 'design X', 'plan X', 'let's discuss what to build', or wants to review the strategy before building."
-disable-model-invocation: true
-argument-hint: "<project_path> [idea or spec]"
----
-
-# Design Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Phase 1: Research (Parallel)
-
-
-Spawn 3 agents in parallel:
-
-```bash
-factory agent researcher --review-tag similar --task "Similar projects research. Search the web for similar projects, existing solutions, and prior art. Analyze their strengths, weaknesses, and market positioning. Check .factory/archive/ for prior knowledge on similar builds. Write findings to .factory/strategy/research-similar.md covering: similar projects found (with links), what they do well and what's missing, differentiation opportunities.
-Write output to: .factory/strategy/research-similar.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag techstack --task "Tech stack research. Identify the best technology stack for this type of project. Find architecture patterns and best practices. Evaluate framework/library options with trade-offs. Write findings to .factory/strategy/research-techstack.md covering: recommended tech stack with rationale, architecture patterns, framework comparisons.
-Write output to: .factory/strategy/research-techstack.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-factory agent researcher --review-tag pitfalls --task "Pitfalls and scope research. Identify potential pitfalls and common mistakes for this type of project. Research MVP scope best practices. Check .factory/archive/ for lessons from past builds. Write findings to .factory/strategy/research-pitfalls.md covering: potential pitfalls to avoid, MVP scope recommendation, lessons from similar past builds.
-Write output to: .factory/strategy/research-pitfalls.md" --project "$PROJECT_PATH" --timeout 600 &
-```
-
-```bash
-wait
-```
-
-## Barrier: Research
-
-
-Wait for all parallel agents to complete: `researcher_similar`, `researcher_techstack`, `researcher_pitfalls`
-
-Read combined outputs: `.factory/strategy/research-pitfalls.md`, `.factory/strategy/research-similar.md`, `.factory/strategy/research-techstack.md`
-
-Write combined result to: `.factory/strategy/research-combined.md`
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-combined.md`
-3. Assess: Is the research relevant? Does it cover the technology landscape adequately? Check for gaps in similar projects, tech stack analysis, and pitfall coverage.
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `fork_research` (max 3 iterations)*
-
-## Phase 2: Strategist
-
-
-```bash
-factory agent strategist --task "Synthesize a project specification from research. Read ALL tagged research files at .factory/strategy/research-*.md. Produce a complete phased build plan. Phase 1 must be project scaffold + eval harness. Every Phase must have substantive What/Why/Expected impact fields. Build EVERYTHING in this pass. Only defer items requiring human intervention. Write the plan to .factory/strategy/current.md.
-Read: .factory/strategy/research-combined.md
-Write output to: .factory/strategy/current.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### Steering Point — Strategy (User Approval)
-
-Present findings to the user. Wait for approval or feedback.
-- **Approve** → proceed to next step
-- **Feedback** → re-run the previous step with corrections
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Phase 3: Archivist Plan
-
-
-```bash
-factory agent archivist --task "Archive the approved research and strategy.
-Read: .factory/strategy/current.md
-Write output to: .factory/archive/plan.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
-
-## Phase 4: Builder
-
-
-```bash
-factory agent builder --task "Implement the next phase from .factory/strategy/current.md. Read the CEO's plan approval at .factory/reviews/ceo-verdict-strategist.md. Read CLAUDE.md and factory.md if they exist. Implement exactly what the current phase describes. Run tests. Commit changes and open a draft PR.
-Read: .factory/strategy/current.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Build
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/builder-latest.md`
-3. Assess: Read builder output. Check git log and diff. Does the work match the plan for this phase? If the Builder opened a PR, read it. REDIRECT if off-scope or missed key requirements.
-4. Write verdict to `.factory/reviews/ceo-verdict-build.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-## Phase 5: Qa
-
-
-```bash
-factory agent qa --task "Run health check (factory eval + score delta), code review (correctness, architecture, edge cases, security), and adversarial QA (run/test the built feature). Write results to .factory/reviews/qa-latest.md
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Review QA results. PROCEED if all checks pass. RELOOP to builder (max 3 iterations) if issues found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Phase 6: Archivist Build
-
-
-```bash
-factory agent archivist --task "Archive the build phase results.
-Read: .factory/reviews/qa-latest.md
-Write output to: .factory/archive/build.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
diff --git a/skills/workflow-discover/SKILL.md b/skills/workflow-discover/SKILL.md
deleted file mode 100644
index c1f1c8ccb..000000000
--- a/skills/workflow-discover/SKILL.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-name: workflow-discover
-description: "Discover mode — auto-discover eval dimensions and generate the eval harness. Use when the project state is no_factory (repo exists but no factory setup). Runs factory discover, verifies the eval profile, and re-detects state."
-disable-model-invocation: true
-argument-hint: "<project_path>"
----
-
-# Discover Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Step: Discover
-
-
-```bash
-factory discover $PROJECT_PATH
-```
-
-### CEO Review — Discover
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/eval_profile.json`, `eval/score.py`
-3. Assess: Verify the discovered eval profile makes sense. Read .factory/eval_profile.json and eval/score.py. Check: Are the dimensions relevant to this project? Does score.py look correct? Any missing dimensions?
-4. Write verdict to `.factory/reviews/ceo-verdict-discover.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `discover` (max 3 iterations)*
-
-## Step: Redetect
-
-
-```bash
-factory detect $PROJECT_PATH
-```
diff --git a/skills/workflow-improve/SKILL.md b/skills/workflow-improve/SKILL.md
deleted file mode 100644
index 37008f6bb..000000000
--- a/skills/workflow-improve/SKILL.md
+++ /dev/null
@@ -1,139 +0,0 @@
----
-name: workflow-improve
-description: "Improve an existing project through systematic experimentation. Runs study, research, hypothesis generation, build/eval loop, and archival. Use when the user says 'improve X', 'make X better', or the project state is has_factory."
-disable-model-invocation: true
-argument-hint: "<project_path> [--focus <target>]"
----
-
-# Improve Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Phase 1: Observe
-
-
-Run local study to gather observations:
-
-```bash
-factory study $PROJECT_PATH
-```
-
-Writes observations to `.factory/strategy/observations.md`.
-
-## Phase 2: Researcher
-
-
-```bash
-factory agent researcher --task "Deep research for the project. Read observations at .factory/strategy/observations.md. Analyze codebase structure, eval scores, and experiment history. Search the web for best practices relevant to weak dimensions. Check .factory/archive/ for prior knowledge. Write findings to .factory/strategy/research-local.md.
-Read: .factory/strategy/observations.md
-Write output to: .factory/strategy/research-local.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-local.md`
-3. Assess: Are observations grounded in data? Did web research surface useful patterns? Any blind spots in the analysis?
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `researcher` (max 3 iterations)*
-
-## Phase 3: Strategist
-
-
-```bash
-factory agent strategist --task "Generate prioritized hypotheses. Read the backlog at .factory/strategy/backlog.md — clear as many items as possible. Read Hypothesis Budget from observations for constraints. Read CEO research review at .factory/reviews/ceo-verdict-researcher.md. Each hypothesis must be specific, scoped to one PR, tied to observations, with expected impact on eval dimensions. Tag backlog items with **Backlog item:** and new items with **New:**. Write to .factory/strategy/current.md.
-Read: .factory/strategy/observations.md, .factory/strategy/research-local.md
-Write output to: .factory/strategy/current.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Strategy
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/current.md`
-3. Assess: HARD GATE. Check: specific enough to implement? Scoped to one PR? Expected eval impact realistic? Follows FEEC priority? Not redundant with reverted experiment? At least one growth hypothesis? Backlog convergence? Write PLAN APPROVED with approved hypotheses in priority order.
-4. Write verdict to `.factory/reviews/ceo-verdict-strategy.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Step: Begin
-
-
-```bash
-factory begin $PROJECT_PATH --hypothesis "Implement hypothesis"
-```
-
-## Phase 4: Builder
-
-
-```bash
-factory agent builder --task "Implement the current hypothesis from .factory/strategy/current.md. Read CLAUDE.md and factory.md. Read the CEO strategy approval. Implement exactly what the hypothesis describes. Run tests. Commit and open a draft PR.
-Read: .factory/strategy/current.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Build
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/builder-latest.md`
-3. Assess: Read builder output and PR diff. Does work match the hypothesis? No scope creep? Tests included? REDIRECT if off-scope.
-4. Write verdict to `.factory/reviews/ceo-verdict-build.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-## Phase 5: Qa
-
-
-```bash
-factory agent qa --task "Run health check (factory eval + score delta), code review (correctness, architecture, edge cases, security), and adversarial QA (run/test the built feature). Write results to .factory/reviews/qa-latest.md
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Review QA results. PROCEED if all checks pass. RELOOP to builder (max 3 iterations) if issues found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Step: Finalize
-
-
-```bash
-factory finalize $PROJECT_PATH --id 1 --verdict keep --hypothesis 'hypothesis'
-```
-
-## Phase 6: Archivist
-
-
-```bash
-factory agent archivist --task "Archive experiment results and learnings.
-Read: .factory/experiments/verdict.json
-Write output to: .factory/archive/experiment.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
diff --git a/skills/workflow-meta/SKILL.md b/skills/workflow-meta/SKILL.md
deleted file mode 100644
index eeca23a93..000000000
--- a/skills/workflow-meta/SKILL.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-name: workflow-meta
-description: "Meta mode — cross-project insights, playbook evolution, and test pruning. Use when the user says 'meta', 'self-improve', 'evolve playbooks', or wants to improve the factory's own agents."
-disable-model-invocation: true
-argument-hint: "<project_path>"
----
-
-# Meta Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Step: Insights
-
-
-```bash
-factory insights $PROJECT_PATH
-```
-
-## Phase 1: Researcher
-
-
-```bash
-factory agent researcher --task "Read cross-project insights at .factory/strategy/insights.md and current playbooks. Identify recurring patterns, anti-patterns, and improvement opportunities. Compare agent performance across projects. Write findings to .factory/strategy/research-local.md.
-Read: .factory/strategy/insights.md
-Write output to: .factory/strategy/research-local.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-local.md`
-3. Assess: Are cross-project patterns well-supported by data? Are proposed improvements actionable? Any blind spots?
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `researcher` (max 3 iterations)*
-
-## Phase 2: Strategist
-
-
-```bash
-factory agent strategist --task "Propose specific playbook edits based on cross-project research. For each agent role, propose DO/DON'T bullet additions or removals with supporting evidence from experiment data. Write diffs to .factory/strategy/playbook-diffs.md.
-Read: .factory/strategy/research-local.md
-Write output to: .factory/strategy/playbook-diffs.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### Steering Point — User (User Approval)
-
-Present findings to the user. Wait for approval or feedback.
-- **Approve** → proceed to next step
-- **Feedback** → re-run the previous step with corrections
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Step: Apply Playbooks
-
-
-```bash
-factory ace $PROJECT_PATH
-```
-
-## Phase 3: Archivist
-
-
-```bash
-factory agent archivist --task "Archive playbook evolution results.
-Read: .factory/archive/playbooks-applied.md
-Write output to: .factory/archive/meta.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
-
-## Step: Test Collect
-
-
-```bash
-pytest --co -q 2>/dev/null || true
-```
-
-## Phase 4: Test Researcher
-
-
-```bash
-factory agent researcher --task "Analyze test inventory for redundant, dead, or flaky tests. Identify tests that overlap, test nothing meaningful, or are consistently flaky. Write findings to .factory/strategy/test-analysis.md with specific test names and reasons for removal.
-Read: .factory/strategy/test-inventory.md
-Write output to: .factory/strategy/test-analysis.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### Steering Point — Test Prune (User Approval)
-
-Present findings to the user. Wait for approval or feedback.
-- **Approve** → proceed to next step
-- **Feedback** → re-run the previous step with corrections
-
-*On RELOOP: return to `test_researcher` (max 3 iterations)*
-
-## Phase 5: Test Builder
-
-
-```bash
-factory agent builder --task "Delete the approved redundant tests. Verify remaining suite still passes.
-Read: .factory/strategy/test-analysis.md
-Write output to: .factory/reviews/test-pruning-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-## Phase 6: Qa Verify
-
-
-```bash
-factory agent qa --task "Verify the test suite still passes after pruning. Run health check and confirm no regressions. Write results to .factory/reviews/qa-verify-latest.md
-Read: .factory/reviews/test-pruning-latest.md
-Write output to: .factory/reviews/qa-verify-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa Verify
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-verify-latest.md`
-3. Assess: Review QA verification of test pruning. PROCEED if tests still pass. RELOOP to test_builder (max 3 iterations) if regressions found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa-verify.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `test_builder` (max 3 iterations)*
diff --git a/skills/workflow-refine/SKILL.md b/skills/workflow-refine/SKILL.md
deleted file mode 100644
index dfbdc2388..000000000
--- a/skills/workflow-refine/SKILL.md
+++ /dev/null
@@ -1,105 +0,0 @@
----
-name: workflow-refine
-description: "Refine mode — lightweight pipeline for user-directed refinements. Use when the user says 'refine X', passes --refine, or wants a targeted change without the overhead of research and multi-hypothesis cycles. Classifies the request, implements with Builder, verifies with QA, and archives."
-disable-model-invocation: true
-argument-hint: "<project_path> --refine "<request>""
----
-
-# Refine Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Phase 1: Refiner
-
-
-```bash
-factory agent refiner --task "Classify and scope a refinement request. Read CLAUDE.md and factory.md. Analyze the codebase to identify which files need to change, estimate scope, and classify the request as Tier 1, 2, or 3. Produce the structured classification output with a Builder task description.
-Write output to: .factory/reviews/refiner-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Refiner
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/refiner-latest.md`
-3. Assess: Review Refiner classification. Is the tier classification reasonable? Are the identified files correct? Is the Builder task description specific enough? REDIRECT if the classification is wrong.
-4. Write verdict to `.factory/reviews/ceo-verdict-refiner.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `refiner` (max 3 iterations)*
-
-### Gate — Tier (Automated)
-
-```bash
-python3 -c "from pathlib import Path; text = Path('$PROJECT_PATH/.factory/reviews/refiner-latest.md').read_text(); print('HALT' if 'Tier 3' in text or 'tier 3' in text or 'TIER 3' in text else 'PROCEED')"
-```
-
-## Step: Begin
-
-
-```bash
-factory begin $PROJECT_PATH --hypothesis "Refine: user refinement request"
-```
-
-## Step: Create Issue
-
-
-```bash
-gh issue create --title "Refine: refinement request" --label "refinement" --body "Factory refinement experiment."
-```
-
-## Phase 2: Builder
-
-
-```bash
-factory agent builder --task "Implement the refinement described in the Refiner's output. Read the GitHub issue. Read CLAUDE.md and factory.md. Implement exactly what the issue describes. Run tests. Commit and open a draft PR.
-Read: .factory/reviews/refiner-latest.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-## Phase 3: Qa
-
-
-```bash
-factory agent qa --task "Verify the refinement. Run all 3 verification sections: 1. Health Check — run factory eval. Report composite score and delta. 2. Code Review — read PR diff, evaluate 7-category checklist. Run factory guard with --check-scope. 3. Adversarial QA — run/test the project, verify the refinement works.
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Read QA output. Did all verification sections pass? Are there issues that need Builder fixes? REDIRECT to Builder if issues found (max 3 iterations).
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Step: Finalize
-
-
-```bash
-factory finalize $PROJECT_PATH --id 1 --verdict keep --hypothesis 'Refine: request'
-```
-
-## Phase 4: Archivist
-
-
-```bash
-factory agent archivist --task "Archive refinement experiment results and learnings.
-Read: .factory/experiments/verdict.json
-Write output to: .factory/archive/refinement.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
diff --git a/skills/workflow-research/SKILL.md b/skills/workflow-research/SKILL.md
deleted file mode 100644
index 7283153bb..000000000
--- a/skills/workflow-research/SKILL.md
+++ /dev/null
@@ -1,152 +0,0 @@
----
-name: workflow-research
-description: "Research mode — extends improve with baseline measurement, failure analysis, research-command eval, and plateau detection. Use when the project has research_target configured and the user says 'research X' or wants metric-driven optimization."
-disable-model-invocation: true
-argument-hint: "<project_path>"
----
-
-# Research Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Step: Baseline
-
-
-```bash
-factory eval $PROJECT_PATH
-```
-
-## Phase 1: Failure Analyst
-
-
-```bash
-factory agent failure_analyst --task "Analyze research run results. Read run artifacts at .factory/research/runs/. Read research target config from .factory/config.json. Classify failures by type and severity. Compute failure distribution. Suggest interventions within mutable surfaces only. Write to .factory/strategy/failure_analysis.md.
-Read: .factory/experiments/baseline.json
-Write output to: .factory/strategy/failure_analysis.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-## Phase 2: Researcher
-
-
-```bash
-factory agent researcher --task "Failure-targeted research. Read failure analysis at .factory/strategy/failure_analysis.md. Search the web for solutions to the dominant failure modes. Check .factory/archive/ for prior knowledge on these patterns. Write findings to .factory/strategy/research-local.md.
-Read: .factory/strategy/failure_analysis.md
-Write output to: .factory/strategy/research-local.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Research
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/research-local.md`
-3. Assess: Are observations grounded in data? Did web research surface useful patterns? Any blind spots in the analysis?
-4. Write verdict to `.factory/reviews/ceo-verdict-research.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `researcher` (max 3 iterations)*
-
-## Phase 3: Strategist
-
-
-```bash
-factory agent strategist --task "Generate research hypotheses targeting dominant failure modes. Each hypothesis must improve over the previous baseline score. Each hypothesis must name specific files from mutable_surfaces to modify. Hypotheses MUST NOT modify files in fixed_surfaces. Prioritize by expected impact on the target metric. Write 1-3 hypotheses to .factory/strategy/current.md.
-Read: .factory/strategy/failure_analysis.md, .factory/strategy/research-local.md
-Write output to: .factory/strategy/current.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Strategy
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/strategy/current.md`
-3. Assess: HARD GATE. Check: specific enough to implement? Scoped to one PR? Expected eval impact realistic? Follows FEEC priority? Not redundant with reverted experiment? At least one growth hypothesis? Backlog convergence? Write PLAN APPROVED with approved hypotheses in priority order.
-4. Write verdict to `.factory/reviews/ceo-verdict-strategy.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `strategist` (max 3 iterations)*
-
-## Step: Begin
-
-
-```bash
-factory begin $PROJECT_PATH --hypothesis "Implement hypothesis"
-```
-
-## Phase 4: Builder
-
-
-```bash
-factory agent builder --task "Implement the current hypothesis from .factory/strategy/current.md. Read CLAUDE.md and factory.md. Read the CEO strategy approval. Implement exactly what the hypothesis describes. Run tests. Commit and open a draft PR.
-Read: .factory/strategy/current.md
-Write output to: .factory/reviews/builder-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Build
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/builder-latest.md`
-3. Assess: Read builder output and PR diff. Does work match the hypothesis? No scope creep? Tests included? REDIRECT if off-scope.
-4. Write verdict to `.factory/reviews/ceo-verdict-build.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-## Phase 5: Qa
-
-
-```bash
-factory agent qa --task "Run health check (factory eval + score delta), code review (correctness, architecture, edge cases, security), adversarial QA (run/test the built feature), and verify mutable/fixed surface constraint compliance. Write results to .factory/reviews/qa-latest.md
-Read: .factory/reviews/builder-latest.md
-Write output to: .factory/reviews/qa-latest.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-### CEO Review — Qa
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/qa-latest.md`
-3. Assess: Review QA results. PROCEED if all checks pass. RELOOP to builder (max 3 iterations) if issues found.
-4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `builder` (max 3 iterations)*
-
-### Gate — Precheck (Automated)
-
-```bash
-factory precheck $PROJECT_PATH --score-before 0 --score-after 0
-```
-
-## Step: Finalize
-
-
-```bash
-factory finalize $PROJECT_PATH --id 1 --verdict keep --hypothesis 'hypothesis'
-```
-
-## Phase 6: Archivist
-
-
-```bash
-factory agent archivist --task "Archive experiment results and learnings.
-Read: .factory/experiments/verdict.json
-Write output to: .factory/archive/experiment.md" --project "$PROJECT_PATH" --timeout 300 --model haiku &
-```
-*(fire-and-forget — CEO continues immediately)*
-
-### Gate — Plateau Gate (Automated)
-
-```bash
-python3 -c "import json, pathlib, sys; tsv = pathlib.Path('$PROJECT_PATH/.factory/results.tsv'); lines = [l for l in tsv.read_text().strip().splitlines()[1:] if l.strip()] if tsv.exists() else []; scores = []; [scores.append(float(p)) for l in lines for i, p in enumerate(l.split(chr(9))) if i == 2 and p]; recent = scores[-3:] if len(scores) >= 3 else scores; improved = len(recent) < 2 or recent[-1] > recent[-2]; print('RELOOP' if improved else 'PROCEED')"
-```
-
-*On RELOOP: return to `baseline` (max 3 iterations)*
diff --git a/skills/workflow-review/SKILL.md b/skills/workflow-review/SKILL.md
deleted file mode 100644
index ee7554302..000000000
--- a/skills/workflow-review/SKILL.md
+++ /dev/null
@@ -1,78 +0,0 @@
----
-name: workflow-review
-description: "Review mode — verify eval dimensions work, create factory.md, and run baseline eval. Use when the project state is evals_pending_review. Tests all dimensions, marks the profile as reviewed, initializes the factory store, and runs E2E verification."
-disable-model-invocation: true
-argument-hint: "<project_path>"
----
-
-# Review Workflow
-
-The user wants: **$ARGUMENTS**
-
-## Step: Eval Test
-
-
-```bash
-cd $PROJECT_PATH && python eval/score.py
-```
-
-### CEO Review — Eval
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/reviews/eval-test-latest.md`
-3. Assess: Check eval output. Did all dimensions pass? If any dimension failed, dispatch the Builder to fix it (install missing tool, adjust command, remove broken dimension). PROCEED only when all dimensions produce valid scores.
-4. Write verdict to `.factory/reviews/ceo-verdict-eval.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
-
-*On RELOOP: return to `eval_test` (max 3 iterations)*
-
-## Step: Mark Reviewed
-
-
-```bash
-python3 -c "import json; from pathlib import Path; p = Path('$PROJECT_PATH/.factory/eval_profile.json'); d = json.loads(p.read_text()); d['human_reviewed'] = True; p.write_text(json.dumps(d, indent=2))"
-```
-
-## Phase 1: Ceo — Create Factory Md
-
-
-```bash
-factory agent ceo --task "Create factory.md from template. Copy the factory config template to the project root. Fill in: Goal, Scope, Guards, Eval command, Threshold, and Smoke Test. If .factory/eval_spec.json exists, populate the Eval Spec section. If .factory/strategy/current.md has a Research Configuration section, populate research sections (Research Target, Mutable/Fixed Surfaces, etc.).
-Read: .factory/eval_profile.json
-Write output to: factory.md" --project "$PROJECT_PATH" --timeout 600
-```
-
-## Step: Factory Init
-
-
-```bash
-factory init $PROJECT_PATH
-```
-
-## Step: Baseline Eval
-
-
-```bash
-factory eval $PROJECT_PATH
-```
-
-## Step: Commit
-
-
-```bash
-cd $PROJECT_PATH && git add factory.md eval/score.py .factory/ && git commit -m "factory: initialize factory config and baseline eval"
-```
-
-### CEO Review — E2E
-
-Apply the CEO Review Gate protocol:
-1. Read the agent output for the preceding step
-2. Read artifacts: `.factory/config.json`, `factory.md`
-3. Assess: E2E verification gate. Verify the project runs end-to-end. Check the Smoke Test command in factory.md and run it. If this is a pre-existing project entering the factory for the first time, it MUST be verified before transitioning to Improve mode.
-4. Write verdict to `.factory/reviews/ceo-verdict-e2e.md`
-5. **PROCEED** → continue to next step
-6. **REDIRECT** → re-invoke the preceding agent with corrections (max 2)
-7. **ABORT** → log failure and skip to archival
diff --git a/tests/conftest.py b/tests/conftest.py
index 07a5800fa..057997958 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,5 +1,7 @@
"""Shared pytest fixtures for remote-factory tests."""
+from __future__ import annotations
+
import os
from pathlib import Path
from unittest.mock import patch
@@ -8,15 +10,25 @@
from factory.models import FactoryConfig
-# CRITICAL: Set FACTORY_BOB_DRY_RUN=1 before any tests run.
-# This ensures BobRunner never invokes real bob during tests.
-os.environ["FACTORY_BOB_DRY_RUN"] = "1"
-
# Disable CEO completion guard by default in tests.
# Tests that need to exercise the guard can unset this or test with mocked invoke_agent.
os.environ["FACTORY_CEO_RESPAWN_DISABLED"] = "1"
+@pytest.fixture(autouse=True)
+def _no_raw_terminal():
+ """Never let a prompt take over the terminal during a test.
+
+ `factory.contained.style.read_key`/`read_line` put stdin into cbreak mode whenever it *is* a
+ terminal — and a test run launched from a shell has one. A prompt would then block forever on a
+ keypress that is never coming, ignoring any `builtins.input` patch, because the raw path does
+ not go through `input()` at all. Forcing the documented fallback makes every prompt
+ line-buffered, which is the path the tests patch.
+ """
+ with patch("factory.contained.style._raw_session", return_value=None):
+ yield
+
+
@pytest.fixture(autouse=True)
def _isolate_registry(tmp_path: Path) -> None:
"""Redirect global registry to tmp_path during tests to avoid polluting ~/.factory/."""
@@ -28,11 +40,11 @@ def _isolate_registry(tmp_path: Path) -> None:
@pytest.fixture(autouse=True)
def _reset_agent_failure_counter() -> None:
"""Reset consecutive agent failure counter between tests."""
- from factory.agents.runner import reset_failure_counter
- reset_failure_counter()
- yield # type: ignore[misc]
- reset_failure_counter()
+ import factory.agents.runner as runner_module
+ runner_module._consecutive_failures = 0
+ yield # type: ignore[misc]
+ runner_module._consecutive_failures = 0
@pytest.fixture(autouse=True)
@@ -45,7 +57,9 @@ def _mock_worktree(tmp_path: Path, request: pytest.FixtureRequest) -> None:
yield # type: ignore[misc]
return
- def _fake_create(project_path: Path, base_branch: str = "main") -> tuple[Path, str]:
+ def _fake_create(
+ project_path: Path, base_branch: str = "main", run_id: str | None = None
+ ) -> tuple[Path, str]:
return project_path, "factory/run-fake0000"
def _fake_remove(project_path: Path, worktree_path: Path, branch: str) -> None:
@@ -54,9 +68,11 @@ def _fake_remove(project_path: Path, worktree_path: Path, branch: str) -> None:
def _fake_prune(project_path: Path) -> list[str]:
return []
- with patch("factory.worktree.create_worktree", side_effect=_fake_create), \
- patch("factory.worktree.remove_worktree", side_effect=_fake_remove), \
- patch("factory.worktree.prune_stale", side_effect=_fake_prune):
+ with (
+ patch("factory.worktree.create_worktree", side_effect=_fake_create),
+ patch("factory.worktree.remove_worktree", side_effect=_fake_remove),
+ patch("factory.worktree.prune_stale", side_effect=_fake_prune),
+ ):
yield # type: ignore[misc]
@@ -64,15 +80,23 @@ def _fake_prune(project_path: Path) -> list[str]:
def tmp_project(tmp_path: Path) -> Path:
"""Create a minimal project directory with git init."""
import subprocess
+
project = tmp_path / "test-project"
project.mkdir()
subprocess.run(["git", "init"], cwd=project, capture_output=True, check=True)
subprocess.run(
["git", "commit", "--allow-empty", "-m", "initial"],
- cwd=project, capture_output=True, check=True,
- env={"GIT_AUTHOR_NAME": "test", "GIT_AUTHOR_EMAIL": "test@test.com",
- "GIT_COMMITTER_NAME": "test", "GIT_COMMITTER_EMAIL": "test@test.com",
- "HOME": str(tmp_path), "PATH": "/usr/bin:/bin:/usr/local/bin"},
+ cwd=project,
+ capture_output=True,
+ check=True,
+ env={
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(tmp_path),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ },
)
return project
@@ -100,7 +124,7 @@ def python_project(tmp_path: Path) -> Path:
'[project]\nname = "my-project"\nversion = "0.1.0"\n'
'requires-python = ">=3.11"\n'
'dependencies = ["pydantic>=2.0"]\n\n'
- "[tool.pytest.ini_options]\nasyncio_mode = \"auto\"\n\n"
+ '[tool.pytest.ini_options]\nasyncio_mode = "auto"\n\n'
"[tool.ruff]\nline-length = 100\n\n"
'[dependency-groups]\ndev = ["pytest>=8.0", "ruff>=0.8"]\n'
)
diff --git a/tests/eval/test_hygiene.py b/tests/eval/test_hygiene.py
index 250605f03..35aa0d893 100644
--- a/tests/eval/test_hygiene.py
+++ b/tests/eval/test_hygiene.py
@@ -5,7 +5,6 @@
_find_sub_projects,
compute_hygiene_results,
eval_config_parser,
- eval_coverage,
eval_lint,
eval_tests,
eval_type_check,
@@ -19,7 +18,11 @@ def test_weights_sum_to_one(self):
def test_all_six_dimensions(self):
assert set(HYGIENE_WEIGHTS.keys()) == {
- "tests", "lint", "type_check", "coverage", "config_parser",
+ "tests",
+ "lint",
+ "type_check",
+ "coverage",
+ "config_parser",
"architecture",
}
@@ -81,13 +84,6 @@ def test_no_type_checker_returns_neutral(self, tmp_path):
assert result["score"] == 0.5
-class TestEvalCoverage:
- def test_no_coverage_tool_returns_neutral(self, tmp_path):
- result = eval_coverage(tmp_path)
- assert result["name"] == "coverage"
- assert result["score"] == 0.5
-
-
class TestEvalConfigParser:
def test_no_factory_md_returns_neutral(self, tmp_path):
result = eval_config_parser(tmp_path)
diff --git a/tests/eval/test_hygiene_characterization.py b/tests/eval/test_hygiene_characterization.py
index fb24c9475..4466db34f 100644
--- a/tests/eval/test_hygiene_characterization.py
+++ b/tests/eval/test_hygiene_characterization.py
@@ -8,7 +8,6 @@
from factory.eval.hygiene import (
HYGIENE_WEIGHTS,
- eval_coverage,
eval_lint,
eval_tests,
eval_type_check,
@@ -19,11 +18,13 @@
def _make_run_result(stdout: str = "", stderr: str = "", returncode: int = 0):
"""Create a mock subprocess.run result."""
+
class _Result:
def __init__(self, rc, out, err):
self.returncode = rc
self.stdout = out
self.stderr = err
+
return _Result(returncode, stdout, stderr)
@@ -49,9 +50,7 @@ def test_all_passing(self, tmp_path):
(tmp_path / "pyproject.toml").write_text("[project]\n")
(tmp_path / "main.py").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="5 passed in 0.5s\n", returncode=0
- )
+ mock_run.return_value = _make_run_result(stdout="5 passed in 0.5s\n", returncode=0)
result = eval_tests(tmp_path)
assert result["score"] == 1.0
assert result["passed"] is True
@@ -60,9 +59,7 @@ def test_no_results(self, tmp_path):
(tmp_path / "pyproject.toml").write_text("[project]\n")
(tmp_path / "main.py").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="no tests ran\n", returncode=0
- )
+ mock_run.return_value = _make_run_result(stdout="no tests ran\n", returncode=0)
result = eval_tests(tmp_path)
assert result["score"] == 0.5
assert "Not detected" in result["details"]
@@ -83,9 +80,7 @@ def test_with_errors(self, tmp_path):
(tmp_path / "pyproject.toml").write_text("[project]\n")
(tmp_path / "main.py").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="Found 3 errors.\n", returncode=1
- )
+ mock_run.return_value = _make_run_result(stdout="Found 3 errors.\n", returncode=1)
result = eval_lint(tmp_path)
assert result["score"] == round(max(0.0, 1.0 - 3 * 0.1), 4)
assert result["passed"] is False
@@ -136,43 +131,6 @@ def test_with_errors(self, tmp_path):
assert result["passed"] is False
-class TestPythonCoverage:
- def test_coverage_result(self, tmp_path):
- (tmp_path / "pyproject.toml").write_text("[project]\n")
- (tmp_path / "main.py").write_text("")
- pkg = tmp_path / "mypackage"
- pkg.mkdir()
- (pkg / "__init__.py").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="3 passed\nTOTAL 100 20 80%\n", returncode=0
- )
- result = eval_coverage(tmp_path)
- assert result["name"] == "coverage"
- assert result["score"] == round(80 / 100.0, 4)
- assert result["passed"] is True
- assert "80%" in result["details"]
-
- def test_sorted_dir_ordering_coverage(self, tmp_path):
- """Coverage also uses sorted(sp.iterdir()) for target."""
- (tmp_path / "pyproject.toml").write_text("[project]\n")
- (tmp_path / "main.py").write_text("")
- alpha = tmp_path / "alpha"
- alpha.mkdir()
- (alpha / "__init__.py").write_text("")
- beta = tmp_path / "beta"
- beta.mkdir()
- (beta / "__init__.py").write_text("")
-
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="3 passed\nTOTAL 100 20 80%\n", returncode=0
- )
- eval_coverage(tmp_path)
- cmd = mock_run.call_args[0][0]
- assert "--cov=alpha" in cmd
-
-
# ── Node characterization ────────────────────────────────────────
@@ -208,9 +166,7 @@ def test_eslint_error_fallback(self, tmp_path):
(tmp_path / "package.json").write_text("{}\n")
(tmp_path / "index.js").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="some error output\n", returncode=1
- )
+ mock_run.return_value = _make_run_result(stdout="some error output\n", returncode=1)
result = eval_lint(tmp_path)
assert "1 errors" in result["details"]
@@ -233,9 +189,7 @@ def test_tsc_error_fallback(self, tmp_path):
(tmp_path / "package.json").write_text("{}\n")
(tmp_path / "index.ts").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="some error\n", returncode=1
- )
+ mock_run.return_value = _make_run_result(stdout="some error\n", returncode=1)
result = eval_type_check(tmp_path)
assert "1 errors" in result["details"]
@@ -334,9 +288,7 @@ def test_go_test_no_fail_no_ok(self, tmp_path):
(tmp_path / "go.mod").write_text("module test\n")
(tmp_path / "main.go").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="some error\n", returncode=1
- )
+ mock_run.return_value = _make_run_result(stdout="some error\n", returncode=1)
result = eval_tests(tmp_path)
assert result["score"] == 0.5
@@ -358,10 +310,6 @@ def test_no_project_returns_neutral_type_check(self, tmp_path):
result = eval_type_check(tmp_path)
assert result["score"] == 0.5
- def test_no_project_returns_neutral_coverage(self, tmp_path):
- result = eval_coverage(tmp_path)
- assert result["score"] == 0.5
-
# ── EvalFragment clamping ────────────────────────────────────────
@@ -369,16 +317,19 @@ def test_no_project_returns_neutral_coverage(self, tmp_path):
class TestEvalFragmentClamping:
def test_score_clamped_to_zero(self):
from factory.eval.languages.base import EvalFragment
+
frag = EvalFragment(passed=0, failed=10, score=-0.5, details="test")
assert frag.score == 0.0
def test_score_clamped_to_one(self):
from factory.eval.languages.base import EvalFragment
+
frag = EvalFragment(passed=10, failed=0, score=1.5, details="test")
assert frag.score == 1.0
def test_score_in_range_unchanged(self):
from factory.eval.languages.base import EvalFragment
+
frag = EvalFragment(passed=5, failed=5, score=0.5, details="test")
assert frag.score == 0.5
@@ -414,7 +365,8 @@ def test_go_vet_error_fallback(self, tmp_path):
(tmp_path / "main.go").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(
- stderr="some error\n", returncode=1,
+ stderr="some error\n",
+ returncode=1,
)
result = eval_lint(tmp_path)
assert "1 errors" in result["details"]
@@ -444,33 +396,6 @@ def test_go_build_errors(self, tmp_path):
assert "2 errors" in result["details"]
-class TestGoCoverage:
- def test_go_coverage_result(self, tmp_path):
- (tmp_path / "go.mod").write_text("module test\n")
- (tmp_path / "main.go").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="ok \ttest/pkg\t0.5s\tcoverage: 75.0% of statements\n",
- returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["name"] == "coverage"
- assert result["score"] == round(75 / 100.0, 4)
- assert "75%" in result["details"]
-
- def test_go_coverage_no_coverage_line(self, tmp_path):
- (tmp_path / "go.mod").write_text("module test\n")
- (tmp_path / "main.go").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="ok \ttest/pkg\t0.5s\n",
- returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["score"] == 0.5
- assert "Not detected" in result["details"]
-
-
# ── Rust type_check / coverage ──────────────────────────────────
@@ -502,67 +427,7 @@ def test_cargo_check_errors(self, tmp_path):
assert "2 errors" in result["details"]
-class TestRustCoverage:
- def test_rust_coverage_result(self, tmp_path):
- (tmp_path / "Cargo.toml").write_text("[package]\n")
- src = tmp_path / "src"
- src.mkdir()
- (src / "lib.rs").write_text("")
- with (
- patch("factory.eval.languages.rust.shutil.which", return_value="/usr/bin/cargo-tarpaulin"),
- patch("factory.eval.languages.base.subprocess.run") as mock_run,
- ):
- mock_run.return_value = _make_run_result(
- stdout="test result: ok. 5 passed; 0 failed; 0 ignored\n85.50% coverage, 171/200 lines covered\n",
- returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["name"] == "coverage"
- assert result["score"] == round(85.5 / 100.0, 4)
- assert "86%" in result["details"]
-
- def test_rust_coverage_no_coverage_line(self, tmp_path):
- (tmp_path / "Cargo.toml").write_text("[package]\n")
- src = tmp_path / "src"
- src.mkdir()
- (src / "lib.rs").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="test result: ok. 3 passed; 0 failed\n",
- returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["score"] == 0.5
- assert "Not detected" in result["details"]
-
-
-# ── Node coverage / type_check clean ────────────────────────────
-
-
-class TestNodeCoverage:
- def test_node_coverage_result(self, tmp_path):
- (tmp_path / "package.json").write_text("{}\n")
- (tmp_path / "index.js").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="Tests: 5 passed, 0 failed\nStatements : 72.5% ( 100/138 )\n",
- returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["name"] == "coverage"
- assert result["score"] == round(72.5 / 100.0, 4)
- assert "72%" in result["details"]
-
- def test_node_coverage_no_statements(self, tmp_path):
- (tmp_path / "package.json").write_text("{}\n")
- (tmp_path / "index.js").write_text("")
- with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="Tests: 3 passed\n", returncode=0,
- )
- result = eval_coverage(tmp_path)
- assert result["score"] == 0.5
- assert "Not detected" in result["details"]
+# ── Node type_check clean ──────────────────────────────────────
class TestNodeTypeCheckClean:
@@ -583,6 +448,7 @@ def test_tsc_clean(self, tmp_path):
class TestGoTestsWithCoverage:
def test_both_fragments(self, tmp_path):
from factory.eval.languages.go import GoEvaluator
+
(tmp_path / "go.mod").write_text("module test\n")
evaluator = GoEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
@@ -600,11 +466,13 @@ def test_both_fragments(self, tmp_path):
def test_failing_no_coverage(self, tmp_path):
from factory.eval.languages.go import GoEvaluator
+
(tmp_path / "go.mod").write_text("module test\n")
evaluator = GoEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(
- stdout="FAIL\ttest/pkg\t0.5s\n", returncode=1,
+ stdout="FAIL\ttest/pkg\t0.5s\n",
+ returncode=1,
)
test_frag, cov_frag = evaluator.run_tests_with_coverage(tmp_path)
assert test_frag is not None
@@ -614,6 +482,7 @@ def test_failing_no_coverage(self, tmp_path):
def test_multiple_packages(self, tmp_path):
from factory.eval.languages.go import GoEvaluator
+
(tmp_path / "go.mod").write_text("module test\n")
evaluator = GoEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
@@ -634,6 +503,7 @@ def test_multiple_packages(self, tmp_path):
class TestNodeTestsWithCoverage:
def test_both_fragments(self, tmp_path):
from factory.eval.languages.node import NodeEvaluator
+
(tmp_path / "package.json").write_text("{}\n")
evaluator = NodeEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
@@ -651,11 +521,13 @@ def test_both_fragments(self, tmp_path):
def test_no_tests_no_coverage(self, tmp_path):
from factory.eval.languages.node import NodeEvaluator
+
(tmp_path / "package.json").write_text("{}\n")
evaluator = NodeEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(
- stdout="No tests found\n", returncode=0,
+ stdout="No tests found\n",
+ returncode=0,
)
test_frag, cov_frag = evaluator.run_tests_with_coverage(tmp_path)
assert test_frag is None
@@ -665,10 +537,13 @@ def test_no_tests_no_coverage(self, tmp_path):
class TestRustTestsWithCoverage:
def test_both_fragments(self, tmp_path):
from factory.eval.languages.rust import RustEvaluator
+
(tmp_path / "Cargo.toml").write_text("[package]\n")
evaluator = RustEvaluator()
with (
- patch("factory.eval.languages.rust.shutil.which", return_value="/usr/bin/cargo-tarpaulin"),
+ patch(
+ "factory.eval.languages.rust.shutil.which", return_value="/usr/bin/cargo-tarpaulin"
+ ),
patch("factory.eval.languages.base.subprocess.run") as mock_run,
):
mock_run.return_value = _make_run_result(
@@ -686,6 +561,7 @@ def test_both_fragments(self, tmp_path):
def test_no_coverage_line(self, tmp_path):
from factory.eval.languages.rust import RustEvaluator
+
(tmp_path / "Cargo.toml").write_text("[package]\n")
evaluator = RustEvaluator()
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
@@ -730,9 +606,7 @@ def test_generic_exception(self):
def test_debug_log_on_failure(self):
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stderr="some error output", returncode=1
- )
+ mock_run.return_value = _make_run_result(stderr="some error output", returncode=1)
rc, stdout, stderr = _run_cmd(["failing", "cmd"], Path("/tmp"))
assert rc == 1
assert stderr == "some error output"
@@ -834,9 +708,7 @@ def test_returns_test_fragment_and_none(self, tmp_path):
(tmp_path / "go.mod").write_text("module test\n")
(tmp_path / "main.go").write_text("")
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
- mock_run.return_value = _make_run_result(
- stdout="ok \ttest/pkg1\t0.5s\n", returncode=0
- )
+ mock_run.return_value = _make_run_result(stdout="ok \ttest/pkg1\t0.5s\n", returncode=0)
test_frag, cov_frag = ev.run_tests_with_coverage(tmp_path)
assert test_frag is not None
assert test_frag.passed >= 1
@@ -856,10 +728,7 @@ def test_json_parsing_partial_credit(self, tmp_path):
ev = GoEvaluator()
(tmp_path / "go.mod").write_text("module test\n")
- json_output = (
- '{"Action":"pass","Test":"TestFoo"}\n'
- '{"Action":"fail","Test":"TestBar"}\n'
- )
+ json_output = '{"Action":"pass","Test":"TestFoo"}\n{"Action":"fail","Test":"TestBar"}\n'
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(stdout=json_output, returncode=1)
test_frag, _ = ev.run_tests_with_coverage(tmp_path)
@@ -893,10 +762,7 @@ def test_json_parsing_all_fail(self, tmp_path):
ev = GoEvaluator()
(tmp_path / "go.mod").write_text("module test\n")
- json_output = (
- '{"Action":"fail","Test":"TestA"}\n'
- '{"Action":"fail","Test":"TestB"}\n'
- )
+ json_output = '{"Action":"fail","Test":"TestA"}\n{"Action":"fail","Test":"TestB"}\n'
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(stdout=json_output, returncode=1)
test_frag, _ = ev.run_tests_with_coverage(tmp_path)
@@ -913,8 +779,8 @@ def test_json_parsing_skips_malformed_lines(self, tmp_path):
(tmp_path / "go.mod").write_text("module test\n")
json_output = (
'{"Action":"pass","Test":"TestGood"}\n'
- 'not valid json\n'
- '{invalid json too}\n'
+ "not valid json\n"
+ "{invalid json too}\n"
'{"Action":"fail","Test":"TestAlsoGood"}\n'
)
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
@@ -964,10 +830,7 @@ def test_json_parsing_skips_empty_lines(self, tmp_path):
ev = GoEvaluator()
(tmp_path / "go.mod").write_text("module test\n")
json_output = (
- '{"Action":"pass","Test":"TestOne"}\n'
- '\n'
- ' \n'
- '{"Action":"pass","Test":"TestTwo"}\n'
+ '{"Action":"pass","Test":"TestOne"}\n\n \n{"Action":"pass","Test":"TestTwo"}\n'
)
with patch("factory.eval.languages.base.subprocess.run") as mock_run:
mock_run.return_value = _make_run_result(stdout=json_output, returncode=0)
diff --git a/tests/test_adversarial.py b/tests/test_adversarial.py
new file mode 100644
index 000000000..8f31db57c
--- /dev/null
+++ b/tests/test_adversarial.py
@@ -0,0 +1,598 @@
+"""Tests for adversarial (GAN-style) eval loop support."""
+
+import json
+from pathlib import Path
+
+import pytest
+
+from factory.adversarial import (
+ detect_convergence,
+ format_adversarial_state,
+ get_active_component,
+ load_adversarial_state,
+ reset_adversarial_state,
+ save_adversarial_state,
+)
+from factory.models import (
+ AdversarialComponent,
+ AdversarialConfig,
+ AdversarialPhaseRecord,
+ AdversarialState,
+ FactoryConfig,
+)
+from factory.store import _parse_adversarial
+
+
+# ── fixtures ────────────────────────────────────────────────────
+
+
+@pytest.fixture
+def gen_component() -> AdversarialComponent:
+ return AdversarialComponent(
+ role="generator",
+ eval_command="python eval/gen.py",
+ metric_name="evasion_rate",
+ threshold=0.4,
+ scope=["src/gen.py"],
+ )
+
+
+@pytest.fixture
+def disc_component() -> AdversarialComponent:
+ return AdversarialComponent(
+ role="discriminator",
+ eval_command="python eval/disc.py",
+ metric_name="recall_specificity",
+ threshold=0.8,
+ scope=["src/disc.py"],
+ )
+
+
+@pytest.fixture
+def adv_config(gen_component, disc_component) -> AdversarialConfig:
+ return AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ hysteresis=3,
+ convergence_window=5,
+ )
+
+
+@pytest.fixture
+def adv_project(tmp_path: Path) -> Path:
+ """Create a minimal project with .factory/ directory."""
+ project = tmp_path / "adv-project"
+ project.mkdir()
+ (project / ".factory").mkdir()
+ return project
+
+
+# ── model tests ─────────────────────────────────────────────────
+
+
+class TestAdversarialComponentModel:
+ def test_valid_generator(self):
+ c = AdversarialComponent(
+ role="generator",
+ eval_command="python eval.py",
+ metric_name="score",
+ threshold=0.5,
+ )
+ assert c.role == "generator"
+ assert c.threshold == 0.5
+
+ def test_valid_discriminator(self):
+ c = AdversarialComponent(
+ role="discriminator",
+ eval_command="python eval.py",
+ metric_name="accuracy",
+ threshold=0.9,
+ )
+ assert c.role == "discriminator"
+
+ def test_defaults(self):
+ c = AdversarialComponent(
+ role="generator",
+ eval_command="echo ok",
+ metric_name="m",
+ threshold=0.5,
+ )
+ assert c.scope == []
+ assert c.timeout == 300.0
+
+ def test_strict_rejects_extras(self):
+ with pytest.raises(Exception):
+ AdversarialComponent(
+ role="generator",
+ eval_command="echo ok",
+ metric_name="m",
+ threshold=0.5,
+ extra_field="bad",
+ )
+
+ def test_invalid_role_rejected(self):
+ with pytest.raises(Exception):
+ AdversarialComponent(
+ role="attacker",
+ eval_command="echo ok",
+ metric_name="m",
+ threshold=0.5,
+ )
+
+
+class TestAdversarialConfigModel:
+ def test_valid_config(self, adv_config):
+ assert adv_config.hysteresis == 3
+ assert adv_config.generator.role == "generator"
+ assert adv_config.discriminator.role == "discriminator"
+
+ def test_defaults(self, gen_component, disc_component):
+ config = AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ )
+ assert config.hysteresis == 3
+ assert config.max_rounds is None
+ assert config.convergence_window == 5
+
+ def test_strict_rejects_extras(self, gen_component, disc_component):
+ with pytest.raises(Exception):
+ AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ extra="bad",
+ )
+
+ def test_with_max_rounds(self, gen_component, disc_component):
+ config = AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ max_rounds=50,
+ )
+ assert config.max_rounds == 50
+
+
+class TestAdversarialPhaseRecordModel:
+ def test_valid_record(self):
+ r = AdversarialPhaseRecord(
+ round=1,
+ active_role="generator",
+ score=0.45,
+ metric_name="evasion_rate",
+ timestamp="2026-07-02T10:00:00",
+ switched=False,
+ )
+ assert r.round == 1
+ assert not r.switched
+
+ def test_switched_flag(self):
+ r = AdversarialPhaseRecord(
+ round=3,
+ active_role="generator",
+ score=0.5,
+ metric_name="evasion_rate",
+ timestamp="2026-07-02T10:00:00",
+ switched=True,
+ )
+ assert r.switched
+
+
+class TestAdversarialStateModel:
+ def test_default_state(self):
+ state = AdversarialState()
+ assert state.active_role == "generator"
+ assert state.current_round == 0
+ assert state.consecutive_above == 0
+ assert state.generator_consecutive_above == 0
+ assert state.discriminator_consecutive_above == 0
+ assert not state.converged
+ assert state.history == []
+
+ def test_state_with_history(self):
+ rec = AdversarialPhaseRecord(
+ round=1,
+ active_role="generator",
+ score=0.3,
+ metric_name="m",
+ timestamp="2026-01-01T00:00:00",
+ switched=False,
+ )
+ state = AdversarialState(history=[rec])
+ assert len(state.history) == 1
+
+ def test_strict_rejects_extras(self):
+ with pytest.raises(Exception):
+ AdversarialState(extra="bad")
+
+
+# ── state persistence tests ────────────────────────────────────
+
+
+class TestLoadAdversarialState:
+ def test_missing_file_returns_default(self, adv_project):
+ state = load_adversarial_state(adv_project)
+ assert state.active_role == "generator"
+ assert state.current_round == 0
+
+ def test_reads_existing_file(self, adv_project):
+ state = AdversarialState(active_role="discriminator", current_round=5)
+ (adv_project / ".factory" / "adversarial_state.json").write_text(
+ json.dumps(state.model_dump(), indent=2)
+ )
+ loaded = load_adversarial_state(adv_project)
+ assert loaded.active_role == "discriminator"
+ assert loaded.current_round == 5
+
+ def test_corrupt_file_returns_default(self, adv_project):
+ (adv_project / ".factory" / "adversarial_state.json").write_text("not json")
+ state = load_adversarial_state(adv_project)
+ assert state.active_role == "generator"
+ assert state.current_round == 0
+
+ def test_invalid_fields_returns_default(self, adv_project):
+ (adv_project / ".factory" / "adversarial_state.json").write_text(
+ '{"active_role": "invalid_role"}'
+ )
+ state = load_adversarial_state(adv_project)
+ assert state.active_role == "generator"
+
+
+class TestSaveAdversarialState:
+ def test_creates_file(self, adv_project):
+ state = AdversarialState(active_role="discriminator", current_round=3)
+ save_adversarial_state(adv_project, state)
+ path = adv_project / ".factory" / "adversarial_state.json"
+ assert path.exists()
+ data = json.loads(path.read_text())
+ assert data["active_role"] == "discriminator"
+ assert data["current_round"] == 3
+
+ def test_roundtrip(self, adv_project):
+ original = AdversarialState(
+ active_role="discriminator",
+ current_round=7,
+ consecutive_above=2,
+ generator_consecutive_above=4,
+ discriminator_consecutive_above=2,
+ )
+ save_adversarial_state(adv_project, original)
+ loaded = load_adversarial_state(adv_project)
+ assert loaded == original
+
+ def test_creates_parent_dirs(self, tmp_path):
+ project = tmp_path / "new-project"
+ project.mkdir()
+ state = AdversarialState()
+ save_adversarial_state(project, state)
+ assert (project / ".factory" / "adversarial_state.json").exists()
+
+
+class TestResetAdversarialState:
+ def test_deletes_file(self, adv_project):
+ save_adversarial_state(adv_project, AdversarialState(current_round=5))
+ path = adv_project / ".factory" / "adversarial_state.json"
+ assert path.exists()
+ reset_adversarial_state(adv_project)
+ assert not path.exists()
+
+ def test_noop_when_missing(self, adv_project):
+ reset_adversarial_state(adv_project)
+
+
+# ── convergence tests ───────────────────────────────────────────
+
+
+class TestDetectConvergence:
+ def test_not_converged_initially(self, adv_config):
+ state = AdversarialState()
+ assert not detect_convergence(state, adv_config)
+
+ def test_converged_when_both_above(self, adv_config):
+ state = AdversarialState(
+ generator_consecutive_above=5,
+ discriminator_consecutive_above=5,
+ )
+ assert detect_convergence(state, adv_config)
+
+ def test_not_converged_when_only_generator_above(self, adv_config):
+ state = AdversarialState(
+ generator_consecutive_above=5,
+ discriminator_consecutive_above=3,
+ )
+ assert not detect_convergence(state, adv_config)
+
+ def test_not_converged_when_only_discriminator_above(self, adv_config):
+ state = AdversarialState(
+ generator_consecutive_above=2,
+ discriminator_consecutive_above=5,
+ )
+ assert not detect_convergence(state, adv_config)
+
+ def test_convergence_window_zero_converges_immediately(self, gen_component, disc_component):
+ config = AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ convergence_window=0,
+ )
+ state = AdversarialState()
+ assert detect_convergence(state, config)
+
+ def test_above_threshold_converges(self, gen_component, disc_component):
+ config = AdversarialConfig(
+ generator=gen_component,
+ discriminator=disc_component,
+ convergence_window=2,
+ )
+ state = AdversarialState(
+ generator_consecutive_above=3,
+ discriminator_consecutive_above=2,
+ )
+ assert detect_convergence(state, config)
+
+
+class TestGetActiveComponent:
+ def test_generator_active(self, adv_config):
+ state = AdversarialState(active_role="generator")
+ component = get_active_component(adv_config, state)
+ assert component.role == "generator"
+ assert component.eval_command == "python eval/gen.py"
+
+ def test_discriminator_active(self, adv_config):
+ state = AdversarialState(active_role="discriminator")
+ component = get_active_component(adv_config, state)
+ assert component.role == "discriminator"
+ assert component.eval_command == "python eval/disc.py"
+
+
+# ── format tests ────────────────────────────────────────────────
+
+
+class TestFormatAdversarialState:
+ def test_default_state_output(self):
+ state = AdversarialState()
+ output = format_adversarial_state(state)
+ assert "Active phase: generator" in output
+ assert "Current round: 0" in output
+ assert "Converged: False" in output
+
+ def test_with_history_shows_entries(self):
+ rec = AdversarialPhaseRecord(
+ round=1,
+ active_role="generator",
+ score=0.35,
+ metric_name="evasion_rate",
+ timestamp="2026-07-02T10:00:00",
+ switched=False,
+ )
+ state = AdversarialState(current_round=1, history=[rec])
+ output = format_adversarial_state(state)
+ assert "History (1 entries)" in output
+ assert "Round 1" in output
+ assert "0.3500" in output
+
+ def test_converged_state_shows_converged(self):
+ state = AdversarialState(converged=True)
+ output = format_adversarial_state(state)
+ assert "Converged: True" in output
+
+ def test_switch_marker(self):
+ rec = AdversarialPhaseRecord(
+ round=3,
+ active_role="generator",
+ score=0.5,
+ metric_name="evasion_rate",
+ timestamp="2026-07-02T10:00:00",
+ switched=True,
+ )
+ state = AdversarialState(current_round=3, history=[rec])
+ output = format_adversarial_state(state)
+ assert "[SWITCH]" in output
+
+ def test_truncates_long_history(self):
+ records = [
+ AdversarialPhaseRecord(
+ round=i,
+ active_role="generator",
+ score=0.3,
+ metric_name="m",
+ timestamp="2026-07-02T10:00:00",
+ switched=False,
+ )
+ for i in range(15)
+ ]
+ state = AdversarialState(current_round=15, history=records)
+ output = format_adversarial_state(state)
+ assert "5 earlier entries omitted" in output
+
+
+# ── FactoryConfig integration ───────────────────────────────────
+
+
+class TestFactoryConfigAdversarial:
+ def test_adversarial_defaults_to_none(self, sample_config):
+ assert sample_config.adversarial is None
+
+ def test_adversarial_accepts_config(self, adv_config):
+ config = FactoryConfig(
+ goal="test",
+ scope=[],
+ guards=[],
+ eval_command="echo ok",
+ eval_threshold=0.8,
+ constraints=[],
+ adversarial=adv_config,
+ )
+ assert config.adversarial is not None
+ assert config.adversarial.generator.role == "generator"
+
+ def test_roundtrip_through_json(self, adv_config):
+ config = FactoryConfig(
+ goal="test",
+ scope=[],
+ guards=[],
+ eval_command="echo ok",
+ eval_threshold=0.8,
+ constraints=[],
+ adversarial=adv_config,
+ )
+ data = config.model_dump()
+ restored = FactoryConfig(**data)
+ assert restored.adversarial is not None
+ assert restored.adversarial.hysteresis == 3
+ assert restored.adversarial.generator.threshold == 0.4
+
+ def test_json_serialization(self, adv_config):
+ config = FactoryConfig(
+ goal="test",
+ scope=[],
+ guards=[],
+ eval_command="echo ok",
+ eval_threshold=0.8,
+ constraints=[],
+ adversarial=adv_config,
+ )
+ text = json.dumps(config.model_dump(), indent=2)
+ data = json.loads(text)
+ restored = FactoryConfig(**data)
+ assert restored.adversarial == adv_config
+
+
+# ── store parser tests ──────────────────────────────────────────
+
+
+class TestParseAdversarial:
+ def test_valid_dot_notation(self):
+ items = [
+ "generator.eval_command: python eval/gen.py",
+ "generator.metric_name: evasion_rate",
+ "generator.threshold: 0.4",
+ "generator.scope: src/gen.py, src/utils.py",
+ "discriminator.eval_command: python eval/disc.py",
+ "discriminator.metric_name: recall_specificity",
+ "discriminator.threshold: 0.8",
+ "hysteresis: 3",
+ "convergence_window: 5",
+ ]
+ config = _parse_adversarial(items)
+ assert config is not None
+ assert config.generator.eval_command == "python eval/gen.py"
+ assert config.generator.metric_name == "evasion_rate"
+ assert config.generator.threshold == 0.4
+ assert config.generator.scope == ["src/gen.py", "src/utils.py"]
+ assert config.discriminator.eval_command == "python eval/disc.py"
+ assert config.discriminator.threshold == 0.8
+ assert config.hysteresis == 3
+ assert config.convergence_window == 5
+
+ def test_missing_generator_returns_none(self):
+ items = [
+ "discriminator.eval_command: python eval/disc.py",
+ "discriminator.metric_name: accuracy",
+ "discriminator.threshold: 0.8",
+ ]
+ assert _parse_adversarial(items) is None
+
+ def test_missing_discriminator_returns_none(self):
+ items = [
+ "generator.eval_command: python eval/gen.py",
+ "generator.metric_name: score",
+ "generator.threshold: 0.5",
+ ]
+ assert _parse_adversarial(items) is None
+
+ def test_empty_list_returns_none(self):
+ assert _parse_adversarial([]) is None
+
+ def test_non_list_returns_none(self):
+ assert _parse_adversarial("not a list") is None
+ assert _parse_adversarial(42.0) is None
+
+ def test_defaults_applied(self):
+ items = [
+ "generator.eval_command: python gen.py",
+ "discriminator.eval_command: python disc.py",
+ ]
+ config = _parse_adversarial(items)
+ assert config is not None
+ assert config.generator.metric_name == "generator_score"
+ assert config.discriminator.metric_name == "discriminator_score"
+ assert config.generator.threshold == 0.5
+ assert config.hysteresis == 3
+ assert config.convergence_window == 5
+ assert config.max_rounds is None
+
+ def test_max_rounds_parsed(self):
+ items = [
+ "generator.eval_command: python gen.py",
+ "discriminator.eval_command: python disc.py",
+ "max_rounds: 50",
+ ]
+ config = _parse_adversarial(items)
+ assert config is not None
+ assert config.max_rounds == 50
+
+ def test_empty_scope_gives_empty_list(self):
+ items = [
+ "generator.eval_command: python gen.py",
+ "discriminator.eval_command: python disc.py",
+ ]
+ config = _parse_adversarial(items)
+ assert config is not None
+ assert config.generator.scope == []
+
+
+# ── CLI integration tests ───────────────────────────────────────
+
+
+class TestCLIAdversarialState:
+ def test_subcommand_registered(self):
+ from factory.cli import build_parser
+
+ parser = build_parser()
+ ns = parser.parse_args(["adversarial-state", "/tmp/test"])
+ assert ns.command == "adversarial-state"
+ assert ns.path == "/tmp/test"
+
+ def test_reset_flag(self):
+ from factory.cli import build_parser
+
+ parser = build_parser()
+ ns = parser.parse_args(["adversarial-state", "/tmp/test", "--reset"])
+ assert ns.reset is True
+
+ def test_reset_defaults_false(self):
+ from factory.cli import build_parser
+
+ parser = build_parser()
+ ns = parser.parse_args(["adversarial-state", "/tmp/test"])
+ assert ns.reset is False
+
+ def test_handler_in_dispatch(self):
+ from factory.cli import cmd_adversarial_state
+
+ assert callable(cmd_adversarial_state)
+
+ def test_cmd_adversarial_state_inspect(self, adv_project):
+ import argparse
+ from factory.cli import cmd_adversarial_state
+
+ ns = argparse.Namespace(path=str(adv_project), reset=False)
+ code = cmd_adversarial_state(ns)
+ assert code == 0
+
+ def test_cmd_adversarial_state_reset(self, adv_project):
+ import argparse
+ from factory.cli import cmd_adversarial_state
+
+ save_adversarial_state(adv_project, AdversarialState(current_round=5))
+ ns = argparse.Namespace(path=str(adv_project), reset=True)
+ code = cmd_adversarial_state(ns)
+ assert code == 0
+ assert not (adv_project / ".factory" / "adversarial_state.json").exists()
+
+ def test_handlers_dict_contains_entry(self):
+ from factory.cli import main
+ import inspect
+
+ source = inspect.getsource(main)
+ assert '"adversarial-state"' in source
diff --git a/tests/test_agents.py b/tests/test_agents.py
index 38886892d..84a631178 100644
--- a/tests/test_agents.py
+++ b/tests/test_agents.py
@@ -11,7 +11,6 @@
AgentRole,
_PROMPTS_DIR,
ConsecutiveAgentFailureError,
- reset_failure_counter,
)
@@ -27,8 +26,11 @@ def test_loads_default_prompt(self):
def test_all_default_prompts_exist(self):
roles: list[AgentRole] = [
- "researcher", "strategist", "qa",
- "archivist", "ceo", "failure_analyst",
+ "researcher",
+ "strategist",
+ "archivist",
+ "ceo",
+ "failure_analyst",
]
for role in roles:
prompt = resolve_prompt(role)
@@ -69,8 +71,11 @@ def test_prompts_dir_exists(self):
def test_each_prompt_has_header(self):
roles: list[AgentRole] = [
- "researcher", "strategist", "qa",
- "archivist", "ceo", "failure_analyst",
+ "researcher",
+ "strategist",
+ "archivist",
+ "ceo",
+ "failure_analyst",
]
for role in roles:
prompt = resolve_prompt(role)
@@ -105,66 +110,6 @@ def test_has_research_output(self):
assert "Output (Research)" in prompt
-class TestInvokeAgentsParallel:
- @pytest.mark.asyncio
- async def test_runs_multiple_agents(self, tmp_path, monkeypatch):
- """invoke_agents_parallel runs multiple agents concurrently."""
- from factory.agents.runner import invoke_agents_parallel
-
- call_count = 0
-
- async def mock_invoke(role, task, path, *, timeout=600.0, dangerously_skip_permissions=True, model=None, runner_name=None, _track_failures=True, tmux_persist=False, background=False, review_tag=None):
- nonlocal call_count
- call_count += 1
- return (f"output-{role}", 0)
-
- monkeypatch.setattr("factory.agents.runner.invoke_agent", mock_invoke)
-
- tasks: list[tuple[AgentRole, str]] = [
- ("builder", "task 1"),
- ("qa", "task 2"),
- ]
- results = await invoke_agents_parallel(tasks, tmp_path)
- assert len(results) == 2
- assert call_count == 2
-
- @pytest.mark.asyncio
- async def test_returns_all_results(self, tmp_path, monkeypatch):
- """invoke_agents_parallel returns results from all agents."""
- from factory.agents.runner import invoke_agents_parallel
-
- async def mock_invoke(role, task, path, *, timeout=600.0, dangerously_skip_permissions=True, model=None, runner_name=None, _track_failures=True, tmux_persist=False, background=False, review_tag=None):
- return (f"output-{role}", 0)
-
- monkeypatch.setattr("factory.agents.runner.invoke_agent", mock_invoke)
-
- tasks: list[tuple[AgentRole, str]] = [
- ("builder", "task 1"),
- ("qa", "task 2"),
- ("archivist", "task 3"),
- ]
- results = await invoke_agents_parallel(tasks, tmp_path)
- assert len(results) == 3
- assert all(rc == 0 for _, rc in results)
-
- @pytest.mark.asyncio
- async def test_passes_model_to_invoke_agent(self, tmp_path, monkeypatch):
- """invoke_agents_parallel passes model kwarg through to invoke_agent."""
- from factory.agents.runner import invoke_agents_parallel
-
- captured_models: list[str | None] = []
-
- async def mock_invoke(role, task, path, *, timeout=600.0, dangerously_skip_permissions=True, model=None, runner_name=None, _track_failures=True, tmux_persist=False, background=False, review_tag=None):
- captured_models.append(model)
- return (f"output-{role}", 0)
-
- monkeypatch.setattr("factory.agents.runner.invoke_agent", mock_invoke)
-
- tasks: list[tuple[AgentRole, str]] = [("builder", "task 1"), ("qa", "task 2")]
- await invoke_agents_parallel(tasks, tmp_path, model="claude-opus-4-6")
- assert all(m == "claude-opus-4-6" for m in captured_models)
-
-
class TestInvokeAgentModel:
@pytest.mark.asyncio
async def test_model_flag_in_subprocess_cmd(self, tmp_path, monkeypatch):
@@ -186,7 +131,9 @@ async def mock_exec(*args, **kwargs):
) as mock_stream:
mock_stream.return_value = (b"ok", b"")
- monkeypatch.setattr("factory.runners._subprocess.asyncio.create_subprocess_exec", mock_exec)
+ monkeypatch.setattr(
+ "factory.runners._subprocess.asyncio.create_subprocess_exec", mock_exec
+ )
await invoke_agent("researcher", "test task", tmp_path, model="claude-opus-4-6")
assert "--model" in captured_cmd
@@ -213,7 +160,9 @@ async def mock_exec(*args, **kwargs):
) as mock_stream:
mock_stream.return_value = (b"ok", b"")
- monkeypatch.setattr("factory.runners._subprocess.asyncio.create_subprocess_exec", mock_exec)
+ monkeypatch.setattr(
+ "factory.runners._subprocess.asyncio.create_subprocess_exec", mock_exec
+ )
await invoke_agent("researcher", "test task", tmp_path, model=None)
assert "--model" not in captured_cmd
@@ -223,7 +172,7 @@ class TestResolveModel:
def test_flag_takes_precedence_over_env(self, monkeypatch):
"""CLI flag overrides FACTORY_MODEL env var."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.setenv("FACTORY_MODEL", "claude-sonnet-4-6")
args = argparse.Namespace(model="claude-opus-4-6")
@@ -232,7 +181,7 @@ def test_flag_takes_precedence_over_env(self, monkeypatch):
def test_env_var_used_when_no_flag(self, monkeypatch):
"""FACTORY_MODEL env var is used when --model is not set."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.setenv("FACTORY_MODEL", "claude-opus-4-6")
args = argparse.Namespace(model=None)
@@ -241,7 +190,7 @@ def test_env_var_used_when_no_flag(self, monkeypatch):
def test_returns_none_when_neither_set(self, monkeypatch):
"""Returns None when neither flag nor env var is set."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.delenv("FACTORY_MODEL", raising=False)
args = argparse.Namespace(model=None)
@@ -250,7 +199,7 @@ def test_returns_none_when_neither_set(self, monkeypatch):
def test_empty_string_flag_falls_through_to_env(self, monkeypatch):
"""Empty string flag falls through to env var."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.setenv("FACTORY_MODEL", "claude-opus-4-6")
args = argparse.Namespace(model="")
@@ -259,7 +208,7 @@ def test_empty_string_flag_falls_through_to_env(self, monkeypatch):
def test_whitespace_only_flag_falls_through_to_env(self, monkeypatch):
"""Whitespace-only flag falls through to env var."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.setenv("FACTORY_MODEL", "claude-opus-4-6")
args = argparse.Namespace(model=" ")
@@ -268,7 +217,7 @@ def test_whitespace_only_flag_falls_through_to_env(self, monkeypatch):
def test_missing_model_attr_returns_none(self, monkeypatch):
"""No model attribute on args returns None."""
import argparse
- from factory.cli import _resolve_model
+ from factory.cli._mode_handlers import _resolve_model
monkeypatch.delenv("FACTORY_MODEL", raising=False)
args = argparse.Namespace()
@@ -280,11 +229,15 @@ class TestConsecutiveFailureAbort:
def setup_method(self):
"""Reset the failure counter before each test."""
- reset_failure_counter()
+ import factory.agents.runner as runner_module
+
+ runner_module._consecutive_failures = 0
def teardown_method(self):
"""Reset the failure counter after each test."""
- reset_failure_counter()
+ import factory.agents.runner as runner_module
+
+ runner_module._consecutive_failures = 0
@pytest.mark.asyncio
async def test_success_resets_counter(self, tmp_path, monkeypatch):
@@ -297,8 +250,10 @@ async def test_success_resets_counter(self, tmp_path, monkeypatch):
# Mock the runner at the point where it's imported in runner.py
class MockRunner:
name = "claude"
+
async def headless(self, *args, **kwargs):
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="success", return_code=0)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -321,8 +276,10 @@ async def test_failure_increments_counter(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, *args, **kwargs):
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="error output", return_code=1)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -345,8 +302,10 @@ async def test_abort_after_threshold(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, *args, **kwargs):
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="error", return_code=1)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -374,8 +333,10 @@ async def test_abort_emits_event(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, *args, **kwargs):
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="error", return_code=1)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -410,6 +371,7 @@ async def test_exception_also_increments_counter(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, *args, **kwargs):
raise RuntimeError("Connection failed")
@@ -421,14 +383,6 @@ async def headless(self, *args, **kwargs):
assert "Error:" in stdout
assert runner_module._consecutive_failures == 1
- def test_reset_failure_counter(self):
- """reset_failure_counter resets the counter to 0."""
- import factory.agents.runner as runner_module
-
- runner_module._consecutive_failures = 5
- reset_failure_counter()
- assert runner_module._consecutive_failures == 0
-
def test_error_message_is_actionable(self):
"""Error message provides actionable guidance."""
error = ConsecutiveAgentFailureError(2, "researcher")
@@ -437,7 +391,7 @@ def test_error_message_is_actionable(self):
assert "2 consecutive" in msg
assert "researcher" in msg
assert "events.jsonl" in msg
- assert "BOBSHELL_API_KEY" in msg # hint about the common cause
+ assert "authentication" in msg # hint about the common cause
class TestCeoPromptNoBackgroundSpawning:
@@ -452,6 +406,7 @@ def test_no_background_ampersand_after_factory_agent(self):
"""CEO prompt must not show `factory agent ... &` pattern."""
prompt = resolve_prompt("ceo")
import re
+
pattern = r"factory\s+agent\s+[^`\n]+\s+&\s*$"
matches = re.findall(pattern, prompt, re.MULTILINE)
for match in matches:
@@ -459,22 +414,25 @@ def test_no_background_ampersand_after_factory_agent(self):
continue
if "archivist" in match:
continue
- assert "WRONG" in prompt[prompt.find(match) - 50:prompt.find(match)], \
+ assert "WRONG" in prompt[prompt.find(match) - 50 : prompt.find(match)], (
f"Found `factory agent ... &` without 'WRONG' context: {match}"
+ )
def test_no_tail_f_for_agent_output(self):
"""CEO prompt must not suggest `tail -f` for agent log output."""
prompt = resolve_prompt("ceo")
import re
+
# Find all tail -f occurrences
pattern = r"tail\s+-[fF]\s+\S+"
matches = re.findall(pattern, prompt)
# All matches should be in a "Forbidden" or "WRONG" context
for match in matches:
context_start = max(0, prompt.find(match) - 100)
- context = prompt[context_start:prompt.find(match) + len(match)]
- assert any(marker in context for marker in ["WRONG", "Forbidden", "do not"]), \
+ context = prompt[context_start : prompt.find(match) + len(match)]
+ assert any(marker in context for marker in ["WRONG", "Forbidden", "do not"]), (
f"Found `tail -f` without forbidden context: {match}"
+ )
def test_has_synchronous_only_rule(self):
"""CEO prompt must explicitly state subagent calls are synchronous."""
@@ -507,9 +465,11 @@ async def test_background_threaded_via_extras(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, request):
captured_extras.update(request.extras)
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="ok", return_code=0)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -529,9 +489,11 @@ async def test_background_false_by_default(self, tmp_path, monkeypatch):
class MockRunner:
name = "claude"
+
async def headless(self, request):
captured_extras.update(request.extras)
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="ok", return_code=0)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -542,22 +504,14 @@ async def headless(self, request):
def test_supports_background_on_runner_meta(self):
"""ClaudeRunner metadata has supports_background=True."""
from factory.runners.claude import ClaudeRunner
- assert ClaudeRunner.metadata().supports_background is True
- def test_other_runners_no_background(self):
- """Non-claude runners have supports_background=False."""
- from factory.runners.bob import BobRunner
- from factory.runners.codex import CodexRunner
- from factory.runners.opencode import OpenCodeRunner
- assert BobRunner.metadata().supports_background is False
- assert CodexRunner.metadata().supports_background is False
- assert OpenCodeRunner.metadata().supports_background is False
+ assert ClaudeRunner.metadata().supports_background is True
def test_resolve_background_flag(self, monkeypatch):
"""_resolve_background resolves CLI flag correctly."""
import argparse
import factory.user_config
- from factory.cli import _resolve_background
+ from factory.cli._mode_handlers import _resolve_background
monkeypatch.delenv("FACTORY_BG", raising=False)
monkeypatch.setattr(factory.user_config, "_cached_config", {})
@@ -572,7 +526,7 @@ def test_resolve_background_env_var(self, monkeypatch):
"""_resolve_background resolves FACTORY_BG env var."""
import argparse
import factory.user_config
- from factory.cli import _resolve_background
+ from factory.cli._mode_handlers import _resolve_background
monkeypatch.setattr(factory.user_config, "_cached_config", {})
monkeypatch.setenv("FACTORY_BG", "1")
@@ -600,7 +554,7 @@ def test_resolve_bg_agents_flag(self, monkeypatch):
"""_resolve_bg_agents resolves CLI flag correctly."""
import argparse
import factory.user_config
- from factory.cli import _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_bg_agents
monkeypatch.delenv("FACTORY_BG_AGENTS", raising=False)
monkeypatch.setattr(factory.user_config, "_cached_config", {})
@@ -615,7 +569,7 @@ def test_resolve_bg_agents_env_var(self, monkeypatch):
"""_resolve_bg_agents resolves FACTORY_BG_AGENTS env var."""
import argparse
import factory.user_config
- from factory.cli import _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_bg_agents
monkeypatch.setattr(factory.user_config, "_cached_config", {})
monkeypatch.setenv("FACTORY_BG_AGENTS", "1")
@@ -626,7 +580,7 @@ def test_bg_and_bg_agents_mutually_exclusive(self, monkeypatch):
"""--bg and --bg-agents cannot be used together."""
import argparse
import factory.user_config
- from factory.cli import _resolve_background, _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_background, _resolve_bg_agents
monkeypatch.delenv("FACTORY_BG", raising=False)
monkeypatch.delenv("FACTORY_BG_AGENTS", raising=False)
@@ -649,9 +603,17 @@ def test_bg_and_bg_agents_mutual_exclusivity_ceo(self, monkeypatch, tmp_path):
monkeypatch.setattr(factory.user_config, "_cached_config", {})
args = argparse.Namespace(
- path=str(tmp_path), bg=True, bg_agents=True,
- mode="auto", headless=False, prompt=None, focus=None,
- dir=None, no_github=False, refine=None, profile=None,
+ path=str(tmp_path),
+ bg=True,
+ bg_agents=True,
+ mode="auto",
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ profile=None,
)
result = cmd_ceo(args)
assert result == 1
@@ -660,7 +622,7 @@ def test_bg_agents_overrides_background_in_run(self, monkeypatch):
"""In cmd_run flow, bg_agents=True forces background=False."""
import argparse
import factory.user_config
- from factory.cli import _resolve_background, _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_background, _resolve_bg_agents
monkeypatch.delenv("FACTORY_BG", raising=False)
monkeypatch.delenv("FACTORY_BG_AGENTS", raising=False)
@@ -686,7 +648,7 @@ def test_bg_agents_sets_factory_bg_env(self, monkeypatch, tmp_path):
# We can't run cmd_ceo to completion without mocking many things,
# but we can verify the _resolve_bg_agents + env-setting logic directly
- from factory.cli import _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_bg_agents
args = argparse.Namespace(bg_agents=True)
result = _resolve_bg_agents(args)
@@ -697,7 +659,7 @@ def test_bg_agents_forces_background_false(self, monkeypatch):
"""When bg_agents=True, background should be forced to False."""
import argparse
import factory.user_config
- from factory.cli import _resolve_background, _resolve_bg_agents
+ from factory.cli._mode_handlers import _resolve_background, _resolve_bg_agents
monkeypatch.delenv("FACTORY_BG", raising=False)
monkeypatch.delenv("FACTORY_BG_AGENTS", raising=False)
@@ -730,9 +692,11 @@ async def test_invoke_agent_appends_no_github_directive(self, tmp_path, monkeypa
class MockRunner:
name = "claude"
+
async def headless(self, request):
captured_prompt.append(request.prompt)
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="ok", return_code=0)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -755,9 +719,11 @@ async def test_invoke_agent_no_directive_when_unset(self, tmp_path, monkeypatch)
class MockRunner:
name = "claude"
+
async def headless(self, request):
captured_prompt.append(request.prompt)
from factory.models import AgentRunResult
+
return AgentRunResult(stdout="ok", return_code=0)
monkeypatch.setattr(runner_module, "get_runner", lambda *args, **kwargs: MockRunner())
@@ -775,4 +741,3 @@ def test_env_var_absent_by_default(self, monkeypatch):
"""FACTORY_NO_GITHUB is not set when --no-github is not passed."""
monkeypatch.delenv("FACTORY_NO_GITHUB", raising=False)
assert os.environ.get("FACTORY_NO_GITHUB") is None
-
diff --git a/tests/test_analysis.py b/tests/test_analysis.py
index 590f33173..74bbba58b 100644
--- a/tests/test_analysis.py
+++ b/tests/test_analysis.py
@@ -1,5 +1,6 @@
"""Tests for factory.analysis — experiment comparison and explanation."""
+import json
from datetime import datetime
from pathlib import Path
@@ -16,6 +17,14 @@
from factory.store import ExperimentStore
+def _write_eval(store: ExperimentStore, exp_id: int, phase: str, score: CompositeScore) -> None:
+ """Write eval JSON directly (replaces the removed ExperimentStore.save_eval)."""
+ exp_dir = store.factory_dir / "experiments" / f"{exp_id:03d}"
+ (exp_dir / f"eval_{phase}.json").write_text(
+ json.dumps(score.model_dump(), indent=2, default=str) + "\n"
+ )
+
+
@pytest.fixture
def analysis_store(tmp_path: Path) -> ExperimentStore:
"""Create a store with two finalized experiments and eval data."""
@@ -57,8 +66,8 @@ def analysis_store(tmp_path: Path) -> ExperimentStore:
guard_violations=[],
passed=True,
)
- asyncio.run(store.save_eval(exp1, "before", score_before_1))
- asyncio.run(store.save_eval(exp1, "after", score_after_1))
+ _write_eval(store, exp1, "before", score_before_1)
+ _write_eval(store, exp1, "after", score_after_1)
record1 = ExperimentRecord(
id=exp1,
timestamp=datetime(2026, 1, 10, 12, 0, 0),
@@ -95,8 +104,8 @@ def analysis_store(tmp_path: Path) -> ExperimentStore:
guard_violations=[],
passed=False,
)
- asyncio.run(store.save_eval(exp2, "before", score_before_2))
- asyncio.run(store.save_eval(exp2, "after", score_after_2))
+ _write_eval(store, exp2, "before", score_before_2)
+ _write_eval(store, exp2, "after", score_after_2)
record2 = ExperimentRecord(
id=exp2,
timestamp=datetime(2026, 1, 11, 14, 0, 0),
@@ -249,7 +258,7 @@ def test_comparison_dimension_diffs(self, analysis_store: ExperimentStore):
# Compares eval_after of exp1 vs eval_after of exp2
tests_diff = next(d for d in diffs if d["name"] == "tests")
assert tests_diff["before"] == 0.9 # exp1 after
- assert tests_diff["after"] == 0.7 # exp2 after
+ assert tests_diff["after"] == 0.7 # exp2 after
def test_comparison_no_evals(self, store_no_evals: ExperimentStore):
result = compare_experiments(store_no_evals, 1, 1)
diff --git a/tests/test_annotations.py b/tests/test_annotations.py
new file mode 100644
index 000000000..a3d0b9502
--- /dev/null
+++ b/tests/test_annotations.py
@@ -0,0 +1,113 @@
+"""Regression test: annotations extracted from exported skills must match source workflow graphs.
+
+This catches:
+- Workflow definition changed but pipeline not re-run
+- Bug in templatize that produces wrong annotations
+- Bug in splitter that loses information
+"""
+
+import pytest
+
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import AgentNode, GateNode
+from factory.workflow.skill_export import workflow_to_skill_md
+from factory.workflow.splitter import split_skill
+
+
+def _all_workflow_names() -> list[str]:
+ return sorted(register_all().keys())
+
+
+def _edge_in_annotations(
+ annotations: dict,
+ source: str,
+ target: str,
+ condition: str | None,
+) -> bool:
+ """Check if an edge exists in the annotations for a given source node."""
+ source_meta = annotations.get(source)
+ if not source_meta:
+ return False
+ edges_out = source_meta.get("edges_out", [])
+ for edge in edges_out:
+ if edge["target"] == target:
+ expected_cond = condition.upper() if condition else None
+ if edge.get("condition") == expected_cond:
+ return True
+ return False
+
+
+@pytest.mark.parametrize("workflow_name", _all_workflow_names())
+def test_annotations_match_source(workflow_name: str) -> None:
+ """Verify that annotations extracted from templatized skills match the source workflow."""
+ workflows = register_all()
+ wf = workflows[workflow_name]
+
+ templatized = workflow_to_skill_md(wf)
+ _, annotations = split_skill(templatized)
+
+ for node_id, meta in annotations.items():
+ source_node = wf.nodes.get(node_id)
+ assert source_node is not None, (
+ f"Annotation references node '{node_id}' not found in workflow '{workflow_name}'"
+ )
+
+ assert meta["type"] == type(source_node).__name__, (
+ f"Type mismatch for node '{node_id}' in workflow '{workflow_name}': "
+ f"annotation={meta['type']}, source={type(source_node).__name__}"
+ )
+
+ if isinstance(source_node, AgentNode):
+ assert meta.get("role") == source_node.role.value, (
+ f"Role mismatch for node '{node_id}': "
+ f"annotation={meta.get('role')}, source={source_node.role.value}"
+ )
+
+ if isinstance(source_node, GateNode):
+ assert meta.get("evaluator_type") == source_node.evaluator_type, (
+ f"Evaluator type mismatch for node '{node_id}': "
+ f"annotation={meta.get('evaluator_type')}, source={source_node.evaluator_type}"
+ )
+
+
+@pytest.mark.parametrize("workflow_name", _all_workflow_names())
+def test_all_nodes_have_annotations(workflow_name: str) -> None:
+ """Verify that every non-fork-target node in the workflow has annotations."""
+ workflows = register_all()
+ wf = workflows[workflow_name]
+
+ templatized = workflow_to_skill_md(wf)
+ _, annotations = split_skill(templatized)
+
+ from factory.workflow.primitives import ForkNode, SubgraphForkNode
+ fork_targets: set[str] = set()
+ subgraph_nodes: set[str] = set()
+ for node in wf.nodes.values():
+ if isinstance(node, ForkNode):
+ fork_targets.update(node.targets)
+ elif isinstance(node, SubgraphForkNode):
+ from factory.workflow.executor import _collect_subgraph_nodes
+ subgraph_nodes |= _collect_subgraph_nodes(wf, node.subgraph_entry, node.subgraph_exit)
+
+ for node_id in wf.nodes:
+ if node_id in fork_targets or node_id in subgraph_nodes:
+ continue
+ assert node_id in annotations, (
+ f"Node '{node_id}' in workflow '{workflow_name}' has no annotations"
+ )
+
+
+@pytest.mark.parametrize("workflow_name", _all_workflow_names())
+def test_templatized_skill_validates(workflow_name: str) -> None:
+ """Verify that templatized skills still pass basic validation after resolving."""
+ from factory.workflow.skill_export import validate_skill
+ from factory.workflow.templates import resolve
+
+ workflows = register_all()
+ wf = workflows[workflow_name]
+ templatized = workflow_to_skill_md(wf)
+ resolved = resolve(templatized)
+ issues = validate_skill(resolved)
+ assert issues == [], (
+ f"Validation issues for workflow '{workflow_name}': {issues}"
+ )
diff --git a/tests/test_baseline.py b/tests/test_baseline.py
index e13dcbbaf..bdd0b491e 100644
--- a/tests/test_baseline.py
+++ b/tests/test_baseline.py
@@ -222,7 +222,7 @@ def test_cmd_baseline_default_commit(self, tmp_path: Path, capsys) -> None:
with (
patch("factory.baseline.fetch_baseline", return_value=baseline_data) as mock_fetch,
patch("subprocess.run", return_value=merge_base_result) as mock_run,
- patch("factory.cli._read_target_branch", return_value="main"),
+ patch("factory.cli.eval_cmds._read_target_branch", return_value="main"),
):
rc = cmd_baseline(args)
diff --git a/tests/test_branch_override.py b/tests/test_branch_override.py
new file mode 100644
index 000000000..de66335f1
--- /dev/null
+++ b/tests/test_branch_override.py
@@ -0,0 +1,99 @@
+"""Tests for branch override propagation — ensures resolved base_branch
+reaches _build_ceo_task, not the raw CLI --branch flag."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from unittest.mock import patch
+
+from factory.cli._task_builder import _build_ceo_task
+from factory.cli._helpers import _read_target_branch
+
+
+class TestBuildCeoTaskBranch:
+ """_build_ceo_task emits a Branch Override section only when branch is set."""
+
+ def test_branch_override_appears_when_set(self, tmp_path: Path):
+ task = _build_ceo_task(tmp_path, "improve", branch="develop")
+ assert "## Branch Override" in task
+ assert "`develop`" in task
+
+ def test_branch_override_absent_when_none(self, tmp_path: Path):
+ task = _build_ceo_task(tmp_path, "improve", branch=None)
+ assert "## Branch Override" not in task
+
+ def test_branch_override_absent_when_empty_string(self, tmp_path: Path):
+ task = _build_ceo_task(tmp_path, "improve", branch="")
+ assert "## Branch Override" not in task
+
+
+class TestReadTargetBranch:
+ """_read_target_branch reads from config.json, falling back to git."""
+
+ def test_reads_from_config(self, tmp_path: Path):
+ config_dir = tmp_path / ".factory"
+ config_dir.mkdir()
+ (config_dir / "config.json").write_text(json.dumps({"target_branch": "release/v2"}))
+ assert _read_target_branch(tmp_path) == "release/v2"
+
+ def test_falls_back_to_git(self, tmp_path: Path):
+ with patch("factory.worktree.detect_default_branch", return_value="main"):
+ assert _read_target_branch(tmp_path) == "main"
+
+ def test_ignores_malformed_config(self, tmp_path: Path):
+ config_dir = tmp_path / ".factory"
+ config_dir.mkdir()
+ (config_dir / "config.json").write_text("{bad json")
+ with patch("factory.worktree.detect_default_branch", return_value="main"):
+ assert _read_target_branch(tmp_path) == "main"
+
+
+class TestBranchPropagation:
+ """Integration: verify the resolution logic used by _execute_ceo and _run_single_cycle.
+
+ The actual callers use ``base_branch = branch or _read_target_branch(project_path)``
+ and pass base_branch (not the raw branch flag) to _build_ceo_task.
+ """
+
+ def test_config_branch_resolves_when_flag_is_none(self, tmp_path: Path):
+ """When --branch is None, base_branch resolves from factory config."""
+ config_dir = tmp_path / ".factory"
+ config_dir.mkdir()
+ (config_dir / "config.json").write_text(
+ json.dumps({"target_branch": "staging"})
+ )
+
+ branch = None
+ base_branch = branch or _read_target_branch(tmp_path)
+ assert base_branch == "staging"
+
+ task = _build_ceo_task(tmp_path, "improve", branch=base_branch)
+ assert "## Branch Override" in task
+ assert "`staging`" in task
+
+ def test_explicit_flag_takes_precedence_over_config(self, tmp_path: Path):
+ """When --branch is explicitly set, it wins over config."""
+ config_dir = tmp_path / ".factory"
+ config_dir.mkdir()
+ (config_dir / "config.json").write_text(
+ json.dumps({"target_branch": "staging"})
+ )
+
+ branch = "feature/custom"
+ base_branch = branch or _read_target_branch(tmp_path)
+ assert base_branch == "feature/custom"
+
+ task = _build_ceo_task(tmp_path, "improve", branch=base_branch)
+ assert "`feature/custom`" in task
+
+ def test_git_fallback_when_no_config(self, tmp_path: Path):
+ """When no config exists, base_branch falls back to git default branch."""
+ with patch("factory.worktree.detect_default_branch", return_value="main"):
+ branch = None
+ base_branch = branch or _read_target_branch(tmp_path)
+ assert base_branch == "main"
+
+ task = _build_ceo_task(tmp_path, "improve", branch=base_branch)
+ assert "## Branch Override" in task
+ assert "`main`" in task
diff --git a/tests/test_ceo_completion.py b/tests/test_ceo_completion.py
index 186f6629d..bc95d0dbf 100644
--- a/tests/test_ceo_completion.py
+++ b/tests/test_ceo_completion.py
@@ -110,16 +110,8 @@ class TestBudgetAllowsRespawn:
"""Tests for _budget_allows_respawn().
With only per-cycle limits (no daily/session limit), respawn is always allowed.
- Per-cycle limits are enforced within BobRunner during execution.
"""
- def test_bob_always_allowed(self, tmp_path: Path) -> None:
- from factory.ceo_completion import _budget_allows_respawn
-
- (tmp_path / ".factory").mkdir()
- # Always returns True - per-cycle limits are enforced within BobRunner
- assert _budget_allows_respawn("bob", tmp_path) is True
-
def test_claude_always_allowed(self, tmp_path: Path) -> None:
from factory.ceo_completion import _budget_allows_respawn
@@ -247,11 +239,14 @@ def test_counts_all_verdicts_when_no_since_ts(self, tmp_path: Path) -> None:
"""Without since_ts, all verdicts are counted."""
from factory.ceo_completion import _count_verdicts
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "revert"},
- {"id": "3", "timestamp": "2026-04-28T12:00:00+00:00", "verdict": "keep"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "revert"},
+ {"id": "3", "timestamp": "2026-04-28T12:00:00+00:00", "verdict": "keep"},
+ ],
+ )
count = _count_verdicts(tmp_path)
assert count == 3
@@ -261,11 +256,14 @@ def test_filters_by_since_ts(self, tmp_path: Path) -> None:
from factory.ceo_completion import _count_verdicts
# Two old rows from a previous cycle, one new row from current cycle
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "revert"},
- {"id": "3", "timestamp": "2026-04-29T14:00:00+00:00", "verdict": "keep"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "revert"},
+ {"id": "3", "timestamp": "2026-04-29T14:00:00+00:00", "verdict": "keep"},
+ ],
+ )
# Filter to only count after noon on Apr 29
since = datetime(2026, 4, 29, 12, 0, 0, tzinfo=timezone.utc)
@@ -276,11 +274,14 @@ def test_ignores_pending_verdicts(self, tmp_path: Path) -> None:
"""Rows without keep/revert/error verdict are not counted."""
from factory.ceo_completion import _count_verdicts
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "pending"},
- {"id": "3", "timestamp": "2026-04-28T12:00:00+00:00", "verdict": ""},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "pending"},
+ {"id": "3", "timestamp": "2026-04-28T12:00:00+00:00", "verdict": ""},
+ ],
+ )
count = _count_verdicts(tmp_path)
assert count == 1
@@ -289,10 +290,13 @@ def test_handles_error_verdict(self, tmp_path: Path) -> None:
"""Error verdicts are counted (they are finalized experiments)."""
from factory.ceo_completion import _count_verdicts
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "error"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "error"},
+ ],
+ )
count = _count_verdicts(tmp_path)
assert count == 2
@@ -301,10 +305,13 @@ def test_handles_naive_timestamps(self, tmp_path: Path) -> None:
"""Timestamps without timezone are treated as UTC."""
from factory.ceo_completion import _count_verdicts
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T10:00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-29T14:00:00", "verdict": "keep"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T10:00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-29T14:00:00", "verdict": "keep"},
+ ],
+ )
since = datetime(2026, 4, 29, 12, 0, 0, tzinfo=timezone.utc)
count = _count_verdicts(tmp_path, since_ts=since)
@@ -316,15 +323,18 @@ def test_cross_cycle_scenario(self, tmp_path: Path) -> None:
# Old cycle started at 2026-04-28T08:00:00
# Current cycle started at 2026-04-29T10:00:00
- self._write_results_tsv(tmp_path, [
- # Old cycle experiments
- {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "revert"},
- {"id": "3", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "keep"},
- # Current cycle experiments
- {"id": "4", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
- {"id": "5", "timestamp": "2026-04-29T12:00:00+00:00", "verdict": "revert"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ # Old cycle experiments
+ {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "revert"},
+ {"id": "3", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "keep"},
+ # Current cycle experiments
+ {"id": "4", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
+ {"id": "5", "timestamp": "2026-04-29T12:00:00+00:00", "verdict": "revert"},
+ ],
+ )
# Current cycle started at 10:00 on Apr 29
current_cycle_start = datetime(2026, 4, 29, 10, 0, 0, tzinfo=timezone.utc)
@@ -368,12 +378,15 @@ def test_improve_filters_by_cycle_start(self, tmp_path: Path) -> None:
)
# 3 old verdicts from previous cycle, 1 from current cycle
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "3", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "keep"},
- {"id": "4", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "3", "timestamp": "2026-04-28T11:00:00+00:00", "verdict": "keep"},
+ {"id": "4", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
+ ],
+ )
# Current cycle started at 10:00 on Apr 29 — only 1 verdict should count
cycle_start = datetime(2026, 4, 29, 10, 0, 0, tzinfo=timezone.utc)
@@ -397,11 +410,14 @@ def test_improve_complete_with_cycle_filtering(self, tmp_path: Path) -> None:
)
# 1 old verdict, 2 current-cycle verdicts
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
- {"id": "3", "timestamp": "2026-04-29T12:00:00+00:00", "verdict": "revert"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
+ {"id": "3", "timestamp": "2026-04-29T12:00:00+00:00", "verdict": "revert"},
+ ],
+ )
cycle_start = datetime(2026, 4, 29, 10, 0, 0, tzinfo=timezone.utc)
gap = _detect_incomplete(tmp_path, "improve", cycle_started_at=cycle_start)
@@ -421,11 +437,14 @@ def test_build_filters_by_cycle_start(self, tmp_path: Path) -> None:
)
# 2 old verdicts, 1 current
- self._write_results_tsv(tmp_path, [
- {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
- {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
- {"id": "3", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
- ])
+ self._write_results_tsv(
+ tmp_path,
+ [
+ {"id": "1", "timestamp": "2026-04-28T09:00:00+00:00", "verdict": "keep"},
+ {"id": "2", "timestamp": "2026-04-28T10:00:00+00:00", "verdict": "keep"},
+ {"id": "3", "timestamp": "2026-04-29T11:00:00+00:00", "verdict": "keep"},
+ ],
+ )
cycle_start = datetime(2026, 4, 29, 10, 0, 0, tzinfo=timezone.utc)
gap = _detect_incomplete(tmp_path, "build", cycle_started_at=cycle_start)
@@ -563,7 +582,11 @@ def test_research_continuation(self) -> None:
def test_continuation_includes_mode_directive(self) -> None:
"""Continuation task includes explicit mode directive to prevent flip."""
- from factory.ceo_completion import _build_continuation_task, IncompleteGap, create_cycle_state
+ from factory.ceo_completion import (
+ _build_continuation_task,
+ IncompleteGap,
+ create_cycle_state,
+ )
gap = IncompleteGap(
mode="build",
@@ -997,7 +1020,7 @@ class TestAutoDetectModeWithCycle:
def test_returns_cycle_mode_when_inflight(self, tmp_path: Path) -> None:
"""_auto_detect_mode returns cycle mode when cycle.json exists."""
- from factory.cli import _auto_detect_mode
+ from factory.cli._mode_handlers import _auto_detect_mode
from factory.ceo_completion import create_cycle_state, write_cycle_state
# Create a git repo so state detection doesn't return NO_REPO
@@ -1013,7 +1036,7 @@ def test_returns_cycle_mode_when_inflight(self, tmp_path: Path) -> None:
def test_ignores_cycle_when_force_fresh(self, tmp_path: Path) -> None:
"""_auto_detect_mode ignores cycle.json when force_fresh=True."""
- from factory.cli import _auto_detect_mode
+ from factory.cli._mode_handlers import _auto_detect_mode
from factory.ceo_completion import create_cycle_state, write_cycle_state
# Create a git repo
@@ -1023,24 +1046,24 @@ def test_ignores_cycle_when_force_fresh(self, tmp_path: Path) -> None:
state = create_cycle_state("build", "Initial task")
write_cycle_state(tmp_path, state)
- # With force_fresh, should detect from state (no_factory → discover)
+ # With force_fresh, should detect from state (no_factory → design)
mode = _auto_detect_mode(tmp_path, has_prompt=False, force_fresh=True)
- assert mode == "discover"
+ assert mode == "design"
def test_detects_normally_when_no_cycle(self, tmp_path: Path) -> None:
"""_auto_detect_mode detects from project state when no cycle.json."""
- from factory.cli import _auto_detect_mode
+ from factory.cli._mode_handlers import _auto_detect_mode
# Create a git repo
(tmp_path / ".git").mkdir()
# No cycle state exists
mode = _auto_detect_mode(tmp_path, has_prompt=False)
- assert mode == "discover" # no_factory state
+ assert mode == "design" # no_factory state → design
def test_detects_normally_when_cycle_stale(self, tmp_path: Path) -> None:
"""_auto_detect_mode ignores stale cycle.json."""
- from factory.cli import _auto_detect_mode
+ from factory.cli._mode_handlers import _auto_detect_mode
from factory.ceo_completion import CYCLE_STALENESS_HOURS, _cycle_state_path
# Create a git repo
@@ -1061,15 +1084,11 @@ def test_detects_normally_when_cycle_stale(self, tmp_path: Path) -> None:
# Should ignore stale cycle and detect from state
mode = _auto_detect_mode(tmp_path, has_prompt=False)
- assert mode == "discover" # no_factory state
-
+ assert mode == "design" # no_factory state → design
-class TestCeoPromptResearchMode:
- """Tests for research mode content — split between CEO prompt and workflow skills.
- Mode-specific phases now live in generated SKILL.md files under skills/.
- The CEO prompt retains routing, Sacred Rules, and cross-cutting protocols.
- """
+class TestCeoPromptCrossCutting:
+ """Tests for CEO prompt cross-cutting content."""
@pytest.fixture()
def ceo_prompt(self) -> str:
@@ -1077,29 +1096,9 @@ def ceo_prompt(self) -> str:
prompt_path = Path(__file__).parent.parent / "factory" / "agents" / "prompts" / "ceo.md"
return prompt_path.read_text()
- @pytest.fixture()
- def research_skill(self) -> str:
- """Load the research workflow SKILL.md."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-research" / "SKILL.md"
- return skill_path.read_text()
-
- def test_research_mode_section_exists(self, ceo_prompt: str) -> None:
- """CEO prompt routes to research skill via Skill Selection."""
- assert "workflow-research" in ceo_prompt
-
- def test_all_seven_phases_present(self, research_skill: str) -> None:
- """Research skill contains phases for the research workflow."""
- assert "Phase" in research_skill
- assert "factory agent" in research_skill
-
- def test_researcher_phase_in_research_mode(self, research_skill: str) -> None:
- """Research skill includes researcher agent invocation."""
- assert "researcher" in research_skill
-
- def test_references_research_infrastructure(self, ceo_prompt: str, research_skill: str) -> None:
- """CEO or research skill references research_target config."""
- combined = ceo_prompt + research_skill
- assert "research_target" in combined or "research" in combined.lower()
+ def test_design_mode_routing(self, ceo_prompt: str) -> None:
+ """CEO prompt routes to design skill."""
+ assert "workflow-design" in ceo_prompt
def test_mutable_fixed_surfaces_enforced(self, ceo_prompt: str) -> None:
"""CEO prompt mentions scope constraints in Sacred Rules."""
@@ -1110,71 +1109,11 @@ def test_eval_weight_split(self, ceo_prompt: str) -> None:
assert "hygiene" in ceo_prompt.lower()
assert "growth" in ceo_prompt.lower()
- def test_monotonic_improvement_policy(self, research_skill: str) -> None:
- """Research skill or definitions reference monotonic improvement."""
- from factory.workflow.definitions import register_all
- wfs = register_all()
- research_wf = wfs["research"]
- node_prompts = " ".join(
- n.prompt_template for n in research_wf.nodes.values()
- if hasattr(n, "prompt_template") and n.prompt_template
- )
- assert "previous" in node_prompts.lower() or "baseline" in node_prompts.lower()
-
- def test_termination_conditions(self, research_skill: str) -> None:
- """Research workflow has evaluator and gate nodes for verdict."""
- from factory.workflow.definitions import register_all
- wfs = register_all()
- research_wf = wfs["research"]
- gate_ids = [nid for nid, n in research_wf.nodes.items() if hasattr(n, "evaluator_type")]
- assert len(gate_ids) > 0, "Research workflow must have gate nodes"
-
def test_hygiene_regression_gate(self, ceo_prompt: str) -> None:
"""CEO prompt requires eval score checks before keeping changes."""
assert "eval" in ceo_prompt.lower()
assert "revert" in ceo_prompt.lower()
- def test_research_mode_in_cycle_completion(self, ceo_prompt: str) -> None:
- """Research mode is listed in the cycle completion rules."""
- assert "Research mode" in ceo_prompt
- completion_idx = ceo_prompt.index("Cycle Completion")
- state_machine_idx = ceo_prompt.index("## State Machine")
- completion_section = ceo_prompt[completion_idx:state_machine_idx]
- assert "Research mode" in completion_section
-
- def test_leakage_guards_in_research_mode(self, research_skill: str) -> None:
- """Research workflow includes leakage-related concepts."""
- from factory.workflow.definitions import register_all
- wfs = register_all()
- research_wf = wfs["research"]
- gate_prompts = " ".join(
- n.gate_prompt for n in research_wf.nodes.values()
- if hasattr(n, "gate_prompt") and n.gate_prompt
- )
- node_prompts = " ".join(
- n.prompt_template for n in research_wf.nodes.values()
- if hasattr(n, "prompt_template") and n.prompt_template
- )
- combined = gate_prompts + node_prompts
- assert "surface" in combined.lower() or "constraint" in combined.lower()
-
- def test_research_ideation_plan_loop_activation(self, ceo_prompt: str) -> None:
- """CEO routes to research skill when research_target is configured."""
- assert "research" in ceo_prompt.lower()
-
- def test_research_ideation_strategist_instruction(self, research_skill: str) -> None:
- """Research skill includes strategist agent invocation."""
- assert "strategist" in research_skill.lower()
-
- def test_review_mode_populates_research_config(self, ceo_prompt: str) -> None:
- """CEO prompt references research mode routing for configured projects."""
- assert "research_target" in ceo_prompt or "research" in ceo_prompt.lower()
-
- def test_review_mode_transitions_to_research(self, ceo_prompt: str) -> None:
- """CEO Skill Selection routes to research skill when configured."""
- assert "workflow-research" in ceo_prompt
-
-
class TestCeoCompletionBackgroundBypass:
"""Tests for background=True bypassing the respawn loop."""
@@ -1190,7 +1129,9 @@ async def test_background_bypasses_respawn_loop(self, tmp_path: Path) -> None:
return_value=("bg output", 0),
) as mock_invoke:
stdout, code = await run_ceo_with_completion_guard(
- tmp_path, "initial task", mode="improve",
+ tmp_path,
+ "initial task",
+ mode="improve",
background=True,
)
@@ -1199,3 +1140,137 @@ async def test_background_bypasses_respawn_loop(self, tmp_path: Path) -> None:
mock_invoke.assert_called_once()
call_kwargs = mock_invoke.call_args.kwargs
assert call_kwargs["background"] is True
+
+
+class TestPrintResumeHint:
+ """Tests for print_resume_hint()."""
+
+ def test_prints_hint_when_session_exists(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture
+ ) -> None:
+ """Resume hint is printed to stderr when session.json exists."""
+ from factory.ceo_completion import print_resume_hint, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "abc-123", mode="improve")
+ print_resume_hint(tmp_path)
+
+ captured = capsys.readouterr()
+ assert "Session: abc-123" in captured.err
+ assert f"Resume with: factory resume {tmp_path}" in captured.err
+
+ def test_no_hint_when_session_cleaned_up(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture
+ ) -> None:
+ """No resume hint when session.json was deleted (cycle completed)."""
+ from factory.ceo_completion import (
+ delete_cycle_state,
+ print_resume_hint,
+ write_ceo_session_id,
+ )
+
+ write_ceo_session_id(tmp_path, "abc-123", mode="improve")
+ delete_cycle_state(tmp_path)
+ print_resume_hint(tmp_path)
+
+ captured = capsys.readouterr()
+ assert "Session:" not in captured.err
+ assert "Resume with:" not in captured.err
+
+ def test_no_hint_when_no_session_file(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture
+ ) -> None:
+ """No resume hint when session.json never existed."""
+ from factory.ceo_completion import print_resume_hint
+
+ print_resume_hint(tmp_path)
+
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+
+class TestResumeHintInCompletionGuard:
+ """Tests for resume hint printing in run_ceo_with_completion_guard."""
+
+ @pytest.fixture(autouse=True)
+ def enable_respawn(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.delenv("FACTORY_CEO_RESPAWN_DISABLED", raising=False)
+
+ async def test_hint_printed_on_respawn_cap_hit(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+ ) -> None:
+ """Resume hint is printed when respawn cap is exhausted."""
+ from factory.ceo_completion import run_ceo_with_completion_guard, write_ceo_session_id
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n")
+ (tmp_path / ".factory" / "experiments").mkdir()
+
+ write_ceo_session_id(tmp_path, "test-session-id", mode="improve")
+ mock_invoke = AsyncMock(return_value=("Incomplete", 0))
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Initial task",
+ mode="improve",
+ runner_name="claude",
+ max_respawns=0,
+ )
+
+ captured = capsys.readouterr()
+ assert "Session: test-session-id" in captured.err
+ assert f"Resume with: factory resume {tmp_path}" in captured.err
+
+ async def test_no_hint_on_clean_completion(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+ ) -> None:
+ """No resume hint when cycle completes successfully."""
+ from factory.ceo_completion import run_ceo_with_completion_guard, write_ceo_session_id
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n")
+ exp_dir = tmp_path / ".factory" / "experiments" / "001"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "verdict.json").write_text('{"verdict": "keep"}')
+
+ write_ceo_session_id(tmp_path, "test-session-id", mode="improve")
+ mock_invoke = AsyncMock(return_value=("Done", 0))
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Initial task",
+ mode="improve",
+ runner_name="claude",
+ )
+
+ captured = capsys.readouterr()
+ assert "Session:" not in captured.err
+
+ async def test_hint_printed_on_user_interrupt(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture
+ ) -> None:
+ """Resume hint is printed when user interrupts with Ctrl+C."""
+ from factory.ceo_completion import run_ceo_with_completion_guard, write_ceo_session_id
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n")
+ (tmp_path / ".factory" / "experiments").mkdir()
+
+ write_ceo_session_id(tmp_path, "interrupt-session", mode="improve")
+ mock_invoke = AsyncMock(return_value=("Interrupted", 130))
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Initial task",
+ mode="improve",
+ runner_name="claude",
+ )
+
+ captured = capsys.readouterr()
+ assert "Session: interrupt-session" in captured.err
+ assert f"Resume with: factory resume {tmp_path}" in captured.err
diff --git a/tests/test_ceo_message_events.py b/tests/test_ceo_message_events.py
index 35c392806..25d502449 100644
--- a/tests/test_ceo_message_events.py
+++ b/tests/test_ceo_message_events.py
@@ -470,7 +470,7 @@ def test_start_ceo_tailer_with_on_line_no_langfuse(self, tmp_path: Path) -> None
import time
from unittest.mock import patch
- from factory.cli import _start_ceo_tailer
+ from factory.cli._ceo_dispatch import _start_ceo_tailer
project = tmp_path / "proj"
project.mkdir()
diff --git a/tests/test_chain_modes_terminal.py b/tests/test_chain_modes_terminal.py
new file mode 100644
index 000000000..83e353294
--- /dev/null
+++ b/tests/test_chain_modes_terminal.py
@@ -0,0 +1,94 @@
+"""Tests for _chain_modes terminal workflow behaviour."""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import patch
+
+from factory.models import ProjectState
+from factory.workflow.primitives import FnNode, Workflow
+from factory.workflow.registry import WorkflowRegistry
+
+
+def _terminal_workflow() -> Workflow:
+ return Workflow(
+ name="swebench",
+ nodes={"start": FnNode(id="start", command="true")},
+ edges=[],
+ start_node="start",
+ terminal=True,
+ )
+
+
+def _non_terminal_workflow() -> Workflow:
+ return Workflow(
+ name="improve",
+ nodes={"start": FnNode(id="start", command="true")},
+ edges=[],
+ start_node="start",
+ terminal=False,
+ )
+
+
+class TestChainModesTerminal:
+ def test_returns_zero_for_terminal_mode(self, tmp_path: Path) -> None:
+ """_chain_modes exits immediately when completed_mode is terminal."""
+ from factory.cli.run import _chain_modes
+
+ with patch.object(
+ WorkflowRegistry, "get_workflow", return_value=_terminal_workflow()
+ ):
+ result = _chain_modes(tmp_path, completed_mode="swebench")
+ assert result == 0
+
+ def test_does_not_call_run_single_cycle_for_terminal(self, tmp_path: Path) -> None:
+ """Terminal mode prevents any further cycle execution."""
+ from factory.cli.run import _chain_modes
+
+ with patch.object(
+ WorkflowRegistry, "get_workflow", return_value=_terminal_workflow()
+ ), patch("factory.cli.run._run_single_cycle") as mock_run:
+ _chain_modes(tmp_path, completed_mode="swebench")
+ mock_run.assert_not_called()
+
+ def test_non_terminal_mode_proceeds(self, tmp_path: Path) -> None:
+ """Non-terminal completed_mode does not short-circuit."""
+ from factory.cli.run import _chain_modes
+
+ with patch.object(
+ WorkflowRegistry, "get_workflow", return_value=_non_terminal_workflow()
+ ), \
+ patch("factory.state.detect_state", return_value=ProjectState.HAS_FACTORY), \
+ patch("factory.cli.run._auto_detect_mode", return_value="improve"), \
+ patch("factory.cli.run._run_single_cycle", return_value=0):
+ result = _chain_modes(
+ tmp_path, completed_mode="improve", already_improved=True,
+ )
+ assert result == 0
+
+ def test_no_completed_mode_proceeds(self, tmp_path: Path) -> None:
+ """Without completed_mode, _chain_modes runs normally."""
+ from factory.cli.run import _chain_modes
+
+ with patch("factory.state.detect_state", return_value=ProjectState.HAS_FACTORY), \
+ patch("factory.cli.run._auto_detect_mode", return_value="improve"), \
+ patch("factory.cli.run._run_single_cycle", return_value=0):
+ result = _chain_modes(tmp_path, already_improved=True)
+ assert result == 0
+
+ def test_project_local_terminal_workflow(self, tmp_path: Path) -> None:
+ """_chain_modes recognizes terminal project-local workflows."""
+ from factory.cli.run import _chain_modes
+
+ local_terminal = Workflow(
+ name="custom_bench",
+ nodes={"start": FnNode(id="start", command="true")},
+ edges=[],
+ start_node="start",
+ terminal=True,
+ )
+ with patch.object(
+ WorkflowRegistry, "get_workflow", return_value=local_terminal
+ ):
+ result = _chain_modes(tmp_path, completed_mode="custom_bench")
+ assert result == 0
diff --git a/tests/test_checkpoint.py b/tests/test_checkpoint.py
index c8e8cd185..8582be7ee 100644
--- a/tests/test_checkpoint.py
+++ b/tests/test_checkpoint.py
@@ -31,7 +31,7 @@ def sample_state() -> CheckpointState:
mode="improve",
active_experiment_id=38,
completed_agents=["researcher", "strategist"],
- pending_agents=["builder", "qa"],
+ pending_agents=["builder", "health_checker"],
last_eval_scores={"tests": 0.95, "lint": 1.0},
current_hypothesis="Add checkpoint serialization",
completed_hypotheses=[35, 36, 37],
@@ -117,7 +117,7 @@ def test_save_and_load(checkpoint_project: Path, sample_state: CheckpointState)
assert loaded.mode == "improve"
assert loaded.active_experiment_id == 38
assert loaded.completed_agents == ["researcher", "strategist"]
- assert loaded.pending_agents == ["builder", "qa"]
+ assert loaded.pending_agents == ["builder", "health_checker"]
assert loaded.last_eval_scores == {"tests": 0.95, "lint": 1.0}
assert loaded.current_hypothesis == "Add checkpoint serialization"
@@ -200,21 +200,32 @@ def test_cli_checkpoint_show_none(checkpoint_project: Path) -> None:
assert code == 0
-def test_cli_checkpoint_save_and_show(checkpoint_project: Path, capsys: pytest.CaptureFixture[str]) -> None:
+def test_cli_checkpoint_save_and_show(
+ checkpoint_project: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
"""factory checkpoint --save persists state, then show reads it."""
from factory.cli import main
# Save
- code = main([
- "checkpoint", str(checkpoint_project),
- "--save",
- "--mode", "improve",
- "--experiment", "38",
- "--completed", "researcher,strategist",
- "--pending", "builder,qa",
- "--hypothesis", "Test hypothesis",
- "--scores", '{"tests": 0.9}',
- ])
+ code = main(
+ [
+ "checkpoint",
+ str(checkpoint_project),
+ "--save",
+ "--mode",
+ "improve",
+ "--experiment",
+ "38",
+ "--completed",
+ "researcher,strategist",
+ "--pending",
+ "builder,qa",
+ "--hypothesis",
+ "Test hypothesis",
+ "--scores",
+ '{"tests": 0.9}',
+ ]
+ )
assert code == 0
capsys.readouterr() # clear output
@@ -228,29 +239,39 @@ def test_cli_checkpoint_save_and_show(checkpoint_project: Path, capsys: pytest.C
assert "builder" in output
-def test_cli_resume_no_checkpoint(checkpoint_project: Path, capsys: pytest.CaptureFixture[str]) -> None:
+def test_cli_resume_no_checkpoint(
+ checkpoint_project: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
"""factory resume <path> returns 1 when no checkpoint."""
from factory.cli import main
code = main(["resume", str(checkpoint_project)])
assert code == 1
- output = capsys.readouterr().out
- assert "No checkpoint" in output
+ output = capsys.readouterr().err
+ assert "No CEO session found to resume." in output
-def test_cli_resume_with_checkpoint(checkpoint_project: Path, sample_state: CheckpointState, capsys: pytest.CaptureFixture[str]) -> None:
- """factory resume <path> displays resume context."""
+def test_cli_resume_with_checkpoint(
+ checkpoint_project: Path, sample_state: CheckpointState
+) -> None:
+ """factory resume <path> resumes the CEO session when a session ID exists."""
+ from unittest.mock import patch
+
+ from factory.ceo_completion import write_ceo_session_id
+
save_checkpoint(checkpoint_project, sample_state)
+ write_ceo_session_id(checkpoint_project, "ckpt-session-id")
from factory.cli import main
- code = main(["resume", str(checkpoint_project)])
- assert code == 0
- output = capsys.readouterr().out
- assert "Resume Context" in output
- assert "improve" in output
- assert "builder" in output
- assert "qa" in output
+ with patch("os.execvp") as mock_exec, patch("shutil.which", return_value="/usr/bin/claude"):
+ main(["resume", str(checkpoint_project)])
+
+ mock_exec.assert_called_once()
+ call_args = mock_exec.call_args[0]
+ assert call_args[0] == "claude"
+ assert "--resume" in call_args[1]
+ assert "ckpt-session-id" in call_args[1]
def test_cli_checkpoint_clear(checkpoint_project: Path, sample_state: CheckpointState) -> None:
@@ -274,20 +295,29 @@ def test_cli_checkpoint_clear_no_file(checkpoint_project: Path) -> None:
def test_cli_checkpoint_save_with_completed_hypotheses(
- checkpoint_project: Path, capsys: pytest.CaptureFixture[str],
+ checkpoint_project: Path,
+ capsys: pytest.CaptureFixture[str],
) -> None:
"""factory checkpoint --save --completed-hypotheses persists experiment IDs."""
from factory.cli import main
- code = main([
- "checkpoint", str(checkpoint_project),
- "--save",
- "--mode", "improve",
- "--completed", "researcher,strategist",
- "--pending", "builder",
- "--hypothesis", "Add caching",
- "--completed-hypotheses", "1,2,3",
- ])
+ code = main(
+ [
+ "checkpoint",
+ str(checkpoint_project),
+ "--save",
+ "--mode",
+ "improve",
+ "--completed",
+ "researcher,strategist",
+ "--pending",
+ "builder",
+ "--hypothesis",
+ "Add caching",
+ "--completed-hypotheses",
+ "1,2,3",
+ ]
+ )
assert code == 0
loaded = load_checkpoint(checkpoint_project)
@@ -307,6 +337,7 @@ def test_load_checkpoint_corrupt_json(checkpoint_project: Path) -> None:
def test_load_checkpoint_invalid_schema(checkpoint_project: Path) -> None:
"""load_checkpoint returns None for valid JSON with invalid schema."""
import json
+
checkpoint_path = checkpoint_project / ".factory" / "checkpoint.json"
checkpoint_path.write_text(json.dumps({"wrong_field": "bad"}))
@@ -317,6 +348,7 @@ def test_load_checkpoint_invalid_schema(checkpoint_project: Path) -> None:
def test_load_checkpoint_backwards_compat(checkpoint_project: Path) -> None:
"""load_checkpoint handles old checkpoints without completed_hypotheses."""
import json
+
checkpoint_path = checkpoint_project / ".factory" / "checkpoint.json"
old_data = {
"mode": "improve",
@@ -333,5 +365,3 @@ def test_load_checkpoint_backwards_compat(checkpoint_project: Path) -> None:
assert loaded is not None
assert loaded.completed_hypotheses == []
assert loaded.completed_agents == ["researcher"]
-
-
diff --git a/tests/test_cli.py b/tests/test_cli.py
index ed7116e2f..6d85dea93 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -1,10 +1,12 @@
"""Tests for factory.cli — CLI subcommand routing."""
+import argparse
import asyncio
import contextlib
import json
import signal
import subprocess
+import sys
import threading
from datetime import datetime
from pathlib import Path
@@ -12,7 +14,20 @@
import pytest
-from factory.cli import main, build_parser, _is_github_url, _slugify, _extract_project_name, _dedupe_project_path, _resolve_input, _persist_spec, _has_research_target, _build_ceo_task, _ensure_repo, _materialize_project, _is_scaffold_only, _quick_classify, _welcome_wizard
+from factory.cli import main, build_parser
+from factory.cli._task_builder import _build_ceo_task
+from factory.cli._path_resolver import (
+ _slugify,
+ _extract_project_name,
+ _dedupe_project_path,
+ _persist_spec,
+ _has_research_target,
+ _ensure_repo,
+ _materialize_project,
+ _is_scaffold_only,
+ _resolve_input,
+)
+from factory.cli._helpers import _is_github_url
from factory.models import ExperimentRecord
from factory.store import ExperimentStore
@@ -31,14 +46,19 @@ def _mock_foreground():
"""Mock the interactive foreground path: subprocess.run inside ClaudeRunner,
worktree lifecycle, and dashboard. Yields the subprocess.run mock."""
mock_run = MagicMock(return_value=MagicMock(returncode=0))
- with patch("factory.runners.claude.subprocess.run", mock_run), \
- patch("factory.worktree.create_worktree",
- side_effect=lambda p, b="main": (p, "factory/run-test")), \
- patch("factory.worktree.remove_worktree"), \
- patch("factory.worktree.prune_stale", return_value=[]), \
- patch("factory.cli._read_target_branch", return_value="main"), \
- patch("factory.cli._is_scaffold_only", return_value=False), \
- patch("factory.cli._ensure_dashboard"):
+ with (
+ patch("factory.runners.claude.subprocess.run", mock_run),
+ patch(
+ "factory.worktree.create_worktree",
+ side_effect=lambda p, b="main", run_id=None: (p, "factory/run-test"),
+ ),
+ patch("factory.worktree.remove_worktree"),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.cli._path_resolver._is_scaffold_only", return_value=False),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ ):
yield mock_run
@@ -78,29 +98,62 @@ def test_begin_subcommand(self):
def test_finalize_subcommand(self):
parser = build_parser()
- args = parser.parse_args([
- "finalize", "/path", "--id", "1", "--verdict", "keep",
- "--hypothesis", "h", "--summary", "s",
- ])
+ args = parser.parse_args(
+ [
+ "finalize",
+ "/path",
+ "--id",
+ "1",
+ "--verdict",
+ "keep",
+ "--hypothesis",
+ "h",
+ "--summary",
+ "s",
+ ]
+ )
assert args.id == 1
assert args.verdict == "keep"
def test_finalize_with_scores(self):
parser = build_parser()
- args = parser.parse_args([
- "finalize", "/path", "--id", "1", "--verdict", "keep",
- "--hypothesis", "h", "--summary", "s",
- "--score-before", "0.80", "--score-after", "0.85",
- ])
+ args = parser.parse_args(
+ [
+ "finalize",
+ "/path",
+ "--id",
+ "1",
+ "--verdict",
+ "keep",
+ "--hypothesis",
+ "h",
+ "--summary",
+ "s",
+ "--score-before",
+ "0.80",
+ "--score-after",
+ "0.85",
+ ]
+ )
assert args.score_before == 0.80
assert args.score_after == 0.85
+ def test_version_flag_exits_zero(self, capsys):
+ with pytest.raises(SystemExit, match="0"):
+ main(["--version"])
+ out = capsys.readouterr().out
+ assert out.startswith("remote-factory ")
+ version_str = out.strip().split(" ", 1)[1]
+ assert version_str[0].isdigit()
+
def test_no_command_returns_1(self):
assert main([]) == 1
def test_emit_subcommand(self):
parser = build_parser()
- args = parser.parse_args(["emit", "agent.started", "--agent", "researcher", "--project", "/p"])
+ args = parser.parse_args(
+ ["emit", "agent.started", "--agent", "researcher", "--project", "/p"]
+ )
assert args.command == "emit"
assert args.event_type == "agent.started"
assert args.agent == "researcher"
@@ -125,6 +178,16 @@ def test_ceo_mode_interactive_backward_compat(self):
assert args.mode == "interactive"
assert args.path == "distributed eval runner"
+ def test_ceo_mode_project_prefix(self):
+ parser = build_parser()
+ args = parser.parse_args(["ceo", "/tmp/proj", "--mode", "project:greet"])
+ assert args.mode == "project:greet"
+
+ def test_ceo_mode_unknown_accepted_by_parser(self):
+ parser = build_parser()
+ args = parser.parse_args(["ceo", "/tmp/proj", "--mode", "my-custom-mode"])
+ assert args.mode == "my-custom-mode"
+
def test_ceo_path_optional(self):
parser = build_parser()
args = parser.parse_args(["ceo", "--mode", "design"])
@@ -141,6 +204,129 @@ def test_ceo_agent_failure_analyst_choice(self):
assert args.role == "failure_analyst"
+class TestGroupedHelp:
+ """Tests for _GroupedHelpParser and _COMMAND_GROUPS completeness."""
+
+ EXPECTED_GROUPS = [
+ "Entry Points:",
+ "Project Setup:",
+ "Experiment Lifecycle:",
+ "Project Intelligence:",
+ "Backlog & Refinement:",
+ "Knowledge & Archive:",
+ "Self-Evolution:",
+ "Configuration:",
+ "Validation & Recovery:",
+ ]
+
+ def test_help_output_contains_all_group_headers(self):
+ help_text = build_parser().format_help()
+ for header in self.EXPECTED_GROUPS:
+ assert header in help_text, f"Missing group header: {header}"
+
+ def test_all_subcommands_covered_by_groups(self):
+ from factory.cli._main import _COMMAND_GROUPS
+
+ grouped = {cmd for _, cmds in _COMMAND_GROUPS for cmd in cmds}
+ parser = build_parser()
+ sub_action = None
+ for action in parser._subparsers._group_actions:
+ if isinstance(action, argparse._SubParsersAction):
+ sub_action = action
+ break
+ assert sub_action is not None
+ registered = set(sub_action._name_parser_map.keys())
+ orphans = registered - grouped
+ assert orphans == set(), f"Commands not in any group: {orphans}"
+
+ def test_no_command_in_multiple_groups(self):
+ from factory.cli._main import _COMMAND_GROUPS
+
+ seen: dict[str, str] = {}
+ duplicates: list[str] = []
+ for group_name, cmds in _COMMAND_GROUPS:
+ for cmd in cmds:
+ if cmd in seen:
+ duplicates.append(f"{cmd!r} in both {seen[cmd]!r} and {group_name!r}")
+ seen[cmd] = group_name
+ assert duplicates == [], f"Commands in multiple groups: {duplicates}"
+
+ def test_no_ungrouped_other_section(self):
+ help_text = build_parser().format_help()
+ assert "\nOther:\n" not in help_text, (
+ "Help has an 'Other' section — some commands are ungrouped"
+ )
+
+ def test_group_count_is_nine(self):
+ from factory.cli._main import _COMMAND_GROUPS
+
+ assert len(_COMMAND_GROUPS) == 9
+
+
+class TestRefactoryAgentFilter:
+ """Tests for --refactory-agent help filtering."""
+
+ EXPECTED_COMMANDS = {
+ "ceo",
+ "run",
+ "tmux",
+ "tmux-ls",
+ "tmux-stop",
+ "tmux-capture",
+ "discover",
+ "init",
+ "detect",
+ "eval",
+ "history",
+ "study",
+ "status",
+ "backlog-list",
+ "backlog-add",
+ "checkpoint",
+ "resume",
+ "ace",
+ "ace-stats",
+ }
+
+ def test_filtered_help_shows_only_expected_commands(self, monkeypatch):
+ monkeypatch.setattr(sys, "argv", ["factory", "--help", "--refactory-agent"])
+ parser = build_parser()
+ help_text = parser.format_help()
+ import re as _re
+
+ displayed = set(_re.findall(r"^ (\S+)", help_text, _re.MULTILINE))
+ assert displayed == self.EXPECTED_COMMANDS
+
+ def test_filtered_help_has_group_headers(self, monkeypatch):
+ monkeypatch.setattr(sys, "argv", ["factory", "--help", "--refactory-agent"])
+ help_text = build_parser().format_help()
+ for header in (
+ "Entry Points:",
+ "Project Setup:",
+ "Project Intelligence:",
+ "Validation & Recovery:",
+ "Self-Evolution:",
+ ):
+ assert header in help_text, f"Missing group header: {header}"
+
+ def test_filtered_help_omits_empty_groups(self, monkeypatch):
+ monkeypatch.setattr(sys, "argv", ["factory", "--help", "--refactory-agent"])
+ help_text = build_parser().format_help()
+ for header in ("Experiment Lifecycle:", "Knowledge & Archive:", "Configuration:"):
+ assert header not in help_text, f"Group should be hidden: {header}"
+
+ def test_filtered_help_no_other_section(self, monkeypatch):
+ monkeypatch.setattr(sys, "argv", ["factory", "--help", "--refactory-agent"])
+ help_text = build_parser().format_help()
+ assert "\nOther:\n" not in help_text
+
+ def test_unfiltered_help_unaffected(self, monkeypatch):
+ monkeypatch.setattr(sys, "argv", ["factory", "--help"])
+ help_text = build_parser().format_help()
+ assert "Experiment Lifecycle:" in help_text
+ assert "begin" in help_text
+
+
class TestCmdCeoDesign:
def test_design_headless_incompatible(self, capsys):
result = main(["ceo", "an idea", "--mode", "design", "--headless"])
@@ -242,6 +428,140 @@ def test_interactive_backward_compat_alias(self, tmp_path):
task = cmd[dsp_idx + 1]
assert "## Plan Loop (Interactive)" in task
+ def test_auto_approve_rejected_without_design_mode(self, capsys):
+ """--auto-approve without --mode design is rejected."""
+ result = main(["ceo", "/some/path", "--mode", "improve", "--auto-approve"])
+ assert result == 1
+ assert "--auto-approve only applies to --mode design" in capsys.readouterr().err
+
+ def test_auto_approve_accepted_with_design_mode(self, tmp_path):
+ """--auto-approve with --mode design succeeds and runs headless."""
+ mock_invoke = _mock_invoke_agent_ok()
+ with (
+ patch("factory.agents.runner.invoke_agent", mock_invoke),
+ patch(
+ "factory.worktree.create_worktree",
+ side_effect=lambda p, b="main", run_id=None: (p, "factory/run-test"),
+ ),
+ patch("factory.worktree.remove_worktree"),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.cli._path_resolver._is_scaffold_only", return_value=False),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ ):
+ result = main(["ceo", str(tmp_path), "--mode", "design", "--auto-approve"])
+ assert result == 0
+
+ def test_auto_approve_forces_headless(self):
+ """--auto-approve with --mode design forces headless=True in the validation tuple."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="an idea",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=True,
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int), f"Expected tuple, got error code {validated}"
+ (
+ _mode,
+ headless,
+ _bg,
+ _bg_agents,
+ _prompt,
+ _focus,
+ _dir,
+ _refine,
+ auto_approve,
+ _from_plan,
+ _just_plan,
+ ) = validated
+ assert headless is True
+ assert auto_approve is True
+
+ def test_auto_approve_false_by_default(self):
+ """auto_approve defaults to False when flag is omitted."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="some idea",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=False,
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int)
+ auto_approve = validated[8]
+ assert auto_approve is False
+
+
+class TestRunAutoApprove:
+ def test_run_auto_approve_rejected_without_design(self, capsys):
+ """cmd_run rejects --auto-approve when mode is not design."""
+ result = main(["run", "/some/path", "--mode", "improve", "--auto-approve"])
+ assert result == 1
+ assert "--auto-approve only applies to --mode design" in capsys.readouterr().err
+
+ def test_run_auto_approve_rejected_default_mode(self, capsys):
+ """cmd_run rejects --auto-approve when mode is the default (auto)."""
+ result = main(["run", "/some/path", "--auto-approve"])
+ assert result == 1
+ assert "--auto-approve only applies to --mode design" in capsys.readouterr().err
+
+
+class TestAutoApproveEvent:
+ def test_execute_ceo_emits_auto_approve_event(self, tmp_path):
+ """_execute_ceo calls _emit_cli_event with 'auto_approve.enabled' when flag is set."""
+ mock_invoke = _mock_invoke_agent_ok()
+ with (
+ patch("factory.agents.runner.invoke_agent", mock_invoke),
+ patch(
+ "factory.worktree.create_worktree",
+ side_effect=lambda p, b="main", run_id=None: (p, "factory/run-test"),
+ ),
+ patch("factory.worktree.remove_worktree"),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.cli._path_resolver._is_scaffold_only", return_value=False),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ patch("factory.cli._ceo_helpers._emit_cli_event") as mock_emit,
+ ):
+ result = main(["ceo", str(tmp_path), "--mode", "design", "--auto-approve"])
+ assert result == 0
+ mock_emit.assert_any_call(tmp_path, "auto_approve.enabled", {"mode": "design"})
+
+ def test_execute_ceo_no_event_without_flag(self, tmp_path):
+ """_execute_ceo does not emit auto_approve.enabled when --auto-approve is absent."""
+ with (
+ _mock_foreground(),
+ patch("factory.cli._ceo_helpers._emit_cli_event") as mock_emit,
+ ):
+ result = main(["ceo", str(tmp_path), "--mode", "design"])
+ assert result == 0
+ auto_approve_calls = [
+ c
+ for c in mock_emit.call_args_list
+ if len(c.args) >= 2 and c.args[1] == "auto_approve.enabled"
+ ]
+ assert len(auto_approve_calls) == 0
+
def _make_config(*, research_target: dict | None = None) -> dict:
"""Build a valid FactoryConfig dict for testing."""
@@ -274,131 +594,17 @@ def test_returns_true_with_research_target(self, tmp_path):
(tmp_path / ".git").mkdir()
factory_dir = tmp_path / ".factory"
factory_dir.mkdir()
- rt = {"objective": "maximize accuracy", "metric": "accuracy",
- "target": 0.9, "run_command": "python run.py",
- "result_path": "results.json"}
+ rt = {
+ "objective": "maximize accuracy",
+ "metric": "accuracy",
+ "target": 0.9,
+ "run_command": "python run.py",
+ "result_path": "results.json",
+ }
(factory_dir / "config.json").write_text(json.dumps(_make_config(research_target=rt)))
assert _has_research_target(tmp_path) is True
-class TestCmdCeoResearchIdeation:
- def test_research_headless_new_project_incompatible(self, capsys):
- result = main(["ceo", "swe-bench solver", "--mode", "research", "--headless"])
- assert result == 1
- assert "foreground" in capsys.readouterr().err.lower()
-
- def test_research_prompt_incompatible(self, capsys):
- result = main(["ceo", "swe-bench solver", "--mode", "research", "--prompt", "file.md"])
- assert result == 1
- assert "mutually exclusive" in capsys.readouterr().err.lower()
-
- def test_research_focus_works_with_existing_project(self, tmp_path):
- """--focus works with --mode research on existing projects with research_target."""
- (tmp_path / ".git").mkdir()
- factory_dir = tmp_path / ".factory"
- factory_dir.mkdir()
- rt = {"objective": "maximize accuracy", "metric": "accuracy",
- "target": 0.9, "run_command": "python run.py",
- "result_path": "results.json"}
- (factory_dir / "config.json").write_text(json.dumps(_make_config(research_target=rt)))
- with _mock_foreground() as mock_run:
- main(["ceo", str(tmp_path), "--mode", "research", "--focus", "tokenizer"])
- mock_run.assert_called_once()
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "## Focus Directive" in task
- assert "tokenizer" in task
-
- def test_research_focus_incompatible_new_project(self, capsys):
- """--focus with --mode research on a new idea string errors."""
- result = main(["ceo", "swe-bench solver", "--mode", "research", "--focus", "tokenizer"])
- assert result == 1
- assert "focus" in capsys.readouterr().err.lower()
-
- def test_research_file_input_not_ideation(self, tmp_path, capsys):
- """--mode research with a file path treats it as a spec, not an idea string."""
- spec_file = tmp_path / "spec.md"
- spec_file.write_text("# My Research Project\n")
- result = main(["ceo", str(spec_file), "--mode", "research"])
- # File gets resolved as spec input, not as an idea string for ideation.
- # Errors because the resulting project has no research_target configured.
- assert result == 1
- assert "research_target" in capsys.readouterr().err
-
- def test_research_existing_dir_no_target_errors(self, tmp_path, capsys):
- """--mode research on existing dir without research_target errors."""
- (tmp_path / ".git").mkdir()
- result = main(["ceo", str(tmp_path), "--mode", "research"])
- assert result == 1
- assert "research_target" in capsys.readouterr().err
-
- def test_research_ideation_foreground_uses_subprocess_run(self):
- """--mode research with idea string launches via subprocess.run."""
- with _mock_foreground() as mock_run:
- main(["ceo", "swe-bench solver agent", "--mode", "research"])
- claude_calls = [c for c in mock_run.call_args_list if c[0][0][0] == "claude"]
- assert len(claude_calls) == 1
- cmd = claude_calls[0][0][0]
- assert cmd[0] == "claude"
-
- def test_research_ideation_task_has_plan_loop(self):
- """--mode research with idea injects Plan Loop (Interactive) block."""
- with _mock_foreground() as mock_run:
- main(["ceo", "swe-bench solver agent", "--mode", "research"])
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "## Plan Loop (Interactive)" in task
- assert "swe-bench solver agent" in task
-
- def test_research_ideation_task_mode_is_ideation(self):
- """--mode research with idea sets Mode: ideation (not build) since it enters ideation first."""
- with _mock_foreground() as mock_run:
- main(["ceo", "swe-bench solver agent", "--mode", "research"])
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "Mode: ideation" in task
-
- def test_research_ideation_uses_plan_loop_not_design(self):
- """--mode research should use Plan Loop, not a separate Design Mode block."""
- with _mock_foreground() as mock_run:
- main(["ceo", "swe-bench solver agent", "--mode", "research"])
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "## Plan Loop (Interactive)" in task
-
- def test_research_ideation_mentions_research_config(self):
- """--mode research ideation task mentions research config fields."""
- with _mock_foreground() as mock_run:
- main(["ceo", "swe-bench solver agent", "--mode", "research"])
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "Research Target" in task
- assert "Mutable Surfaces" in task
- assert "Fixed Surfaces" in task
-
- def test_research_existing_project_with_target_skips_ideation(self, tmp_path):
- """--mode research on existing project WITH research_target skips ideation."""
- (tmp_path / ".git").mkdir()
- factory_dir = tmp_path / ".factory"
- factory_dir.mkdir()
- rt = {"objective": "maximize accuracy", "metric": "accuracy",
- "target": 0.9, "run_command": "python run.py",
- "result_path": "results.json"}
- (factory_dir / "config.json").write_text(json.dumps(_make_config(research_target=rt)))
- with _mock_foreground() as mock_run:
- main(["ceo", str(tmp_path), "--mode", "research"])
- cmd = mock_run.call_args[0][0]
- dsp_idx = cmd.index("--dangerously-skip-permissions")
- task = cmd[dsp_idx + 1]
- assert "## Plan Loop (Interactive)" not in task
- assert "Mode: research" in task
-
-
class TestCmdDetect:
def test_detect_no_repo(self, tmp_path, capsys):
result = main(["detect", str(tmp_path / "nonexistent")])
@@ -438,12 +644,18 @@ def test_status_with_factory(self, tmp_project, capsys, sample_config):
asyncio.run(store.init(sample_config))
exp_id = asyncio.run(store.begin("Improve performance"))
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
+ id=exp_id,
+ timestamp=datetime.now(),
hypothesis="Improve performance",
change_summary="Optimized hot path",
- issue_number=None, pr_number=None,
- score_before=0.8, score_after=0.95, delta=0.15,
- verdict="keep", cost_usd=None, notes="",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.8,
+ score_after=0.95,
+ delta=0.15,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
asyncio.run(store.finalize(exp_id, record))
@@ -473,6 +685,7 @@ class TestCmdHistory:
def test_history_no_experiments(self, tmp_project, capsys, sample_config):
import asyncio
from factory.store import ExperimentStore
+
store = ExperimentStore(tmp_project)
asyncio.run(store.init(sample_config))
result = main(["history", str(tmp_project)])
@@ -593,21 +806,28 @@ def test_archive_with_experiments(self, tmp_project, capsys, sample_config):
asyncio.run(store.init(sample_config))
exp_id = asyncio.run(store.begin("Improve throughput"))
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
+ id=exp_id,
+ timestamp=datetime.now(),
hypothesis="Improve throughput",
change_summary="Optimized pipeline",
- issue_number=None, pr_number=None,
- score_before=0.7, score_after=0.85, delta=0.15,
- verdict="keep", cost_usd=0.5, notes="",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.7,
+ score_after=0.85,
+ delta=0.15,
+ verdict="keep",
+ cost_usd=0.5,
+ notes="",
)
asyncio.run(store.finalize(exp_id, record))
- with patch("factory.obsidian.notes.write_experiment_note") as mock_exp, \
- patch("factory.obsidian.notes.write_project_dashboard") as mock_dash, \
- patch("factory.obsidian.notes.write_strategy_note") as mock_strat, \
- patch("factory.obsidian.notes.update_memory_index"), \
- patch("factory.obsidian.notes._get_vault_path",
- return_value=tmp_project / "vault"):
+ with (
+ patch("factory.obsidian.notes.write_experiment_note") as mock_exp,
+ patch("factory.obsidian.notes.write_project_dashboard") as mock_dash,
+ patch("factory.obsidian.notes.write_strategy_note") as mock_strat,
+ patch("factory.obsidian.notes.update_memory_index"),
+ patch("factory.obsidian.notes._get_vault_path", return_value=tmp_project / "vault"),
+ ):
result = main(["archive", str(tmp_project)])
assert result == 0
@@ -622,22 +842,31 @@ def test_archive_with_strategy(self, tmp_project, capsys, sample_config):
asyncio.run(store.init(sample_config))
exp_id = asyncio.run(store.begin("Test hypothesis"))
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
+ id=exp_id,
+ timestamp=datetime.now(),
hypothesis="Test hypothesis",
change_summary="Changed stuff",
- issue_number=None, pr_number=None,
- score_before=0.8, score_after=0.85, delta=0.05,
- verdict="keep", cost_usd=None, notes="",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.8,
+ score_after=0.85,
+ delta=0.05,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
asyncio.run(store.finalize(exp_id, record))
- asyncio.run(store.write_strategy("Focus on reliability."))
-
- with patch("factory.obsidian.notes.write_experiment_note") as mock_exp, \
- patch("factory.obsidian.notes.write_project_dashboard") as mock_dash, \
- patch("factory.obsidian.notes.write_strategy_note") as mock_strat, \
- patch("factory.obsidian.notes.update_memory_index"), \
- patch("factory.obsidian.notes._get_vault_path",
- return_value=tmp_project / "vault"):
+ strategy_path = store.factory_dir / "strategy" / "current.md"
+ strategy_path.parent.mkdir(parents=True, exist_ok=True)
+ strategy_path.write_text("Focus on reliability.")
+
+ with (
+ patch("factory.obsidian.notes.write_experiment_note") as mock_exp,
+ patch("factory.obsidian.notes.write_project_dashboard") as mock_dash,
+ patch("factory.obsidian.notes.write_strategy_note") as mock_strat,
+ patch("factory.obsidian.notes.update_memory_index"),
+ patch("factory.obsidian.notes._get_vault_path", return_value=tmp_project / "vault"),
+ ):
result = main(["archive", str(tmp_project)])
assert result == 0
@@ -646,7 +875,6 @@ def test_archive_with_strategy(self, tmp_project, capsys, sample_config):
mock_strat.assert_called_once()
-
class TestCmdVaultInit:
def test_vault_init_parser(self):
parser = build_parser()
@@ -709,15 +937,18 @@ class TestRunWithGitHubUrl:
def test_run_clones_https_url(self, capsys):
"""cmd_run clones a GitHub HTTPS URL into a temp dir and invokes CEO."""
url = "https://github.com/user/repo"
- with patch("factory.cli.subprocess.run") as mock_clone, \
- patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.cli.tempfile.mkdtemp", return_value="/tmp/factory-abc"), \
- patch("factory.cli._read_target_branch", return_value="main"):
+ with (
+ patch("factory.cli._path_resolver.subprocess.run") as mock_clone,
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.cli._path_resolver.tempfile.mkdtemp", return_value="/tmp/factory-abc"),
+ patch("factory.cli.run._read_target_branch", return_value="main"),
+ ):
result = main(["run", url])
assert result == 0
mock_clone.assert_called_once_with(
- ["git", "clone", url, "/tmp/factory-abc"], check=True,
+ ["git", "clone", url, "/tmp/factory-abc"],
+ check=True,
)
out = capsys.readouterr().out
assert "Cloned https://github.com/user/repo" in out
@@ -725,23 +956,28 @@ def test_run_clones_https_url(self, capsys):
def test_run_clones_ssh_url(self, capsys):
"""cmd_run clones a GitHub SSH URL into a temp dir."""
url = "git@github.com:user/repo.git"
- with patch("factory.cli.subprocess.run") as mock_clone, \
- patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.cli.tempfile.mkdtemp", return_value="/tmp/factory-xyz"), \
- patch("factory.cli._read_target_branch", return_value="main"):
+ with (
+ patch("factory.cli._path_resolver.subprocess.run") as mock_clone,
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.cli._path_resolver.tempfile.mkdtemp", return_value="/tmp/factory-xyz"),
+ patch("factory.cli.run._read_target_branch", return_value="main"),
+ ):
result = main(["run", url])
assert result == 0
mock_clone.assert_called_once_with(
- ["git", "clone", url, "/tmp/factory-xyz"], check=True,
+ ["git", "clone", url, "/tmp/factory-xyz"],
+ check=True,
)
out = capsys.readouterr().out
assert f"Cloned {url}" in out
def test_run_local_path_no_clone(self, tmp_path):
"""cmd_run with a local path does not clone — just invokes CEO."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path)])
assert result == 0
@@ -749,8 +985,10 @@ def test_run_local_path_no_clone(self, tmp_path):
def test_run_discover_mode(self, tmp_path):
"""cmd_run with --mode=discover passes discover task to CEO."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path), "--mode", "discover"])
assert result == 0
@@ -760,8 +998,10 @@ def test_run_discover_mode(self, tmp_path):
def test_run_meta_mode(self, tmp_path):
"""cmd_run with --mode=meta passes meta task to CEO."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path), "--mode", "meta"])
assert result == 0
@@ -814,19 +1054,31 @@ def test_max_cycles_custom(self):
class TestHeartbeatLoop:
def test_no_loop_single_run(self, tmp_path):
"""Without --loop, cmd_run executes exactly one cycle."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path)])
assert result == 0
mock_agent.assert_called_once()
def test_loop_exits_after_max_cycles(self, tmp_path, capsys):
"""With --loop --max-cycles=3, runs exactly 3 cycles then exits."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
- result = main([
- "run", str(tmp_path), "--loop", "--max-cycles", "3", "--interval", "0",
- ])
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
+ result = main(
+ [
+ "run",
+ str(tmp_path),
+ "--loop",
+ "--max-cycles",
+ "3",
+ "--interval",
+ "0",
+ ]
+ )
assert result == 0
assert mock_agent.call_count == 3
@@ -838,11 +1090,19 @@ def test_loop_exits_after_max_cycles(self, tmp_path, capsys):
def test_loop_single_cycle(self, tmp_path, capsys):
"""--max-cycles=1 runs one cycle, no sleep, then exits."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.cli._chain_modes", return_value=0):
- result = main([
- "run", str(tmp_path), "--loop", "--max-cycles", "1",
- ])
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
+ result = main(
+ [
+ "run",
+ str(tmp_path),
+ "--loop",
+ "--max-cycles",
+ "1",
+ ]
+ )
assert result == 0
out = capsys.readouterr().out
assert "[factory] Cycle 1 started at" in out
@@ -863,9 +1123,14 @@ def _trigger_sigterm_after_cycle(*args, **kwargs):
threading.Timer(0.05, handler, args=(signal.SIGTERM, None)).start()
return ("ok", 0)
- with patch("signal.signal", side_effect=_capture_signal), \
- patch("factory.agents.runner.invoke_agent", AsyncMock(side_effect=_trigger_sigterm_after_cycle)), \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("signal.signal", side_effect=_capture_signal),
+ patch(
+ "factory.agents.runner.invoke_agent",
+ AsyncMock(side_effect=_trigger_sigterm_after_cycle),
+ ),
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path), "--loop", "--interval", "30"])
assert result == 0
@@ -887,9 +1152,14 @@ def _trigger_sigint_after_cycle(*args, **kwargs):
threading.Timer(0.05, handler, args=(signal.SIGINT, None)).start()
return ("ok", 0)
- with patch("signal.signal", side_effect=_capture_signal), \
- patch("factory.agents.runner.invoke_agent", AsyncMock(side_effect=_trigger_sigint_after_cycle)), \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("signal.signal", side_effect=_capture_signal),
+ patch(
+ "factory.agents.runner.invoke_agent",
+ AsyncMock(side_effect=_trigger_sigint_after_cycle),
+ ),
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
result = main(["run", str(tmp_path), "--loop", "--interval", "30"])
assert result == 0
@@ -898,11 +1168,21 @@ def _trigger_sigint_after_cycle(*args, **kwargs):
def test_loop_logs_sleep_message(self, tmp_path, capsys):
"""Verify the sleep log message appears between cycles."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.cli._chain_modes", return_value=0):
- result = main([
- "run", str(tmp_path), "--loop", "--max-cycles", "2", "--interval", "0",
- ])
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.cli.run._chain_modes", return_value=0),
+ ):
+ result = main(
+ [
+ "run",
+ str(tmp_path),
+ "--loop",
+ "--max-cycles",
+ "2",
+ "--interval",
+ "0",
+ ]
+ )
assert result == 0
out = capsys.readouterr().out
assert "[factory] Cycle 1 completed. Sleeping for 0s..." in out
@@ -914,9 +1194,16 @@ def test_loop_logs_sleep_message(self, tmp_path, capsys):
class TestCmdAgentParser:
def test_agent_subcommand(self):
parser = build_parser()
- args = parser.parse_args([
- "agent", "researcher", "--task", "Research the project", "--project", "/some/path",
- ])
+ args = parser.parse_args(
+ [
+ "agent",
+ "researcher",
+ "--task",
+ "Research the project",
+ "--project",
+ "/some/path",
+ ]
+ )
assert args.command == "agent"
assert args.role == "researcher"
assert args.task == "Research the project"
@@ -924,21 +1211,46 @@ def test_agent_subcommand(self):
def test_agent_default_timeout(self):
parser = build_parser()
- args = parser.parse_args([
- "agent", "builder", "--task", "Build it", "--project", "/path",
- ])
+ args = parser.parse_args(
+ [
+ "agent",
+ "builder",
+ "--task",
+ "Build it",
+ "--project",
+ "/path",
+ ]
+ )
assert args.timeout == 600.0
def test_agent_custom_timeout(self):
parser = build_parser()
- args = parser.parse_args([
- "agent", "qa", "--task", "Eval", "--project", "/path", "--timeout", "300",
- ])
+ args = parser.parse_args(
+ [
+ "agent",
+ "health_checker",
+ "--task",
+ "Eval",
+ "--project",
+ "/path",
+ "--timeout",
+ "300",
+ ]
+ )
assert args.timeout == 300.0
def test_agent_all_roles_valid(self):
parser = build_parser()
- for role in ["researcher", "strategist", "builder", "qa", "archivist", "ceo"]:
+ for role in [
+ "researcher",
+ "strategist",
+ "builder",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "archivist",
+ "ceo",
+ ]:
args = parser.parse_args(["agent", role, "--task", "test", "--project", "/path"])
assert args.role == role
@@ -947,9 +1259,16 @@ class TestCmdAgent:
def test_agent_invokes_invoke_agent(self, tmp_path, capsys):
"""cmd_agent delegates to invoke_agent with correct args."""
with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
- result = main([
- "agent", "researcher", "--task", "Research", "--project", str(tmp_path),
- ])
+ result = main(
+ [
+ "agent",
+ "researcher",
+ "--task",
+ "Research",
+ "--project",
+ str(tmp_path),
+ ]
+ )
assert result == 0
mock_agent.assert_called_once()
call_args = mock_agent.call_args
@@ -961,9 +1280,16 @@ def test_agent_invokes_invoke_agent(self, tmp_path, capsys):
def test_agent_returns_nonzero_on_failure(self, tmp_path):
"""cmd_agent returns agent exit code on failure."""
with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_fail()):
- result = main([
- "agent", "builder", "--task", "Build", "--project", str(tmp_path),
- ])
+ result = main(
+ [
+ "agent",
+ "builder",
+ "--task",
+ "Build",
+ "--project",
+ str(tmp_path),
+ ]
+ )
assert result == 1
@@ -992,7 +1318,9 @@ def test_ceo_review_mode(self):
def test_ceo_review_mode_with_repo(self):
parser = build_parser()
- args = parser.parse_args(["ceo", "/some/path", "--mode", "review", "--pr", "42", "--repo", "owner/repo"])
+ args = parser.parse_args(
+ ["ceo", "/some/path", "--mode", "review", "--pr", "42", "--repo", "owner/repo"]
+ )
assert args.repo == "owner/repo"
def test_ceo_pr_default_none(self):
@@ -1029,18 +1357,27 @@ def test_review_mode_headless_builds_correct_task(self, tmp_path, capsys):
assert "review-only run" in task
assert "no Builder iterations" in task
assert "factory eval" in task
- assert "step 2c-qa" in task
assert "iteration 1/1" in task
- assert "step 2d" in task
- assert "--score-before" in task
- assert "--score-after" in task
+ assert "--reason" in task
+ assert "--qa-body-file" in task
assert "factory review --verdict" in task
def test_review_mode_headless_with_repo(self, tmp_path, capsys):
"""--mode review --pr 42 --repo owner/repo includes repo in task."""
with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
- result = main(["ceo", str(tmp_path), "--mode", "review", "--pr", "42",
- "--repo", "owner/repo", "--headless"])
+ result = main(
+ [
+ "ceo",
+ str(tmp_path),
+ "--mode",
+ "review",
+ "--pr",
+ "42",
+ "--repo",
+ "owner/repo",
+ "--headless",
+ ]
+ )
assert result == 0
task = mock_agent.call_args[0][1]
assert "owner/repo" in task
@@ -1049,16 +1386,20 @@ def test_review_mode_headless_with_repo(self, tmp_path, capsys):
def test_review_mode_skips_worktree(self, tmp_path):
"""Review mode does not create worktrees or touch experiment store."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.worktree.create_worktree") as mock_wt:
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.worktree.create_worktree") as mock_wt,
+ ):
main(["ceo", str(tmp_path), "--mode", "review", "--pr", "42", "--headless"])
mock_wt.assert_not_called()
def test_review_mode_foreground(self, tmp_path):
"""Review mode without --headless launches interactively."""
mock_run = MagicMock(return_value=MagicMock(returncode=0))
- with patch("factory.runners.claude.subprocess.run", mock_run), \
- patch("factory.cli._ensure_dashboard"):
+ with (
+ patch("factory.runners.claude.subprocess.run", mock_run),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ ):
main(["ceo", str(tmp_path), "--mode", "review", "--pr", "42"])
mock_run.assert_called_once()
cmd = mock_run.call_args[0][0]
@@ -1076,11 +1417,92 @@ def test_review_mode_max_respawns_is_1(self, tmp_path):
assert call_kwargs.get("timeout") == 7200.0
+class TestCmdCeoDeepQa:
+ def test_deep_qa_mode_without_pr_errors(self, capsys):
+ result = main(["ceo", "/some/path", "--mode", "deep-qa"])
+ assert result == 1
+ assert "--pr" in capsys.readouterr().err
+
+ def test_qa_mode_nonexistent_path_errors(self, capsys):
+ result = main(["ceo", "/nonexistent/path", "--mode", "deep-qa", "--pr", "42"])
+ assert result == 1
+ assert "existing directory" in capsys.readouterr().err
+
+ def test_qa_mode_headless_builds_correct_task(self, tmp_path, capsys):
+ """--mode deep-qa --pr 42 --headless builds a deep-qa task and invokes CEO."""
+ with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
+ result = main(["ceo", str(tmp_path), "--mode", "deep-qa", "--pr", "42", "--headless"])
+ assert result == 0
+ mock_agent.assert_called_once()
+ task = mock_agent.call_args[0][1]
+ assert "Mode: deep-qa" in task
+ assert "PR #42" in task
+ assert "factory review --verdict" in task
+ assert "--reason" in task
+ assert "--qa-body-file" in task
+ assert "Do NOT post any PR comments" in task
+
+ def test_qa_mode_headless_with_repo(self, tmp_path, capsys):
+ """--mode deep-qa --pr 42 --repo owner/repo includes repo in task."""
+ with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
+ result = main(
+ [
+ "ceo",
+ str(tmp_path),
+ "--mode",
+ "deep-qa",
+ "--pr",
+ "42",
+ "--repo",
+ "owner/repo",
+ "--headless",
+ ]
+ )
+ assert result == 0
+ task = mock_agent.call_args[0][1]
+ assert "owner/repo" in task
+ assert "--repo owner/repo" in task
+
+ def test_qa_mode_skips_worktree(self, tmp_path):
+ """Deep-QA mode does not create worktrees or touch experiment store."""
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.worktree.create_worktree") as mock_wt,
+ ):
+ main(["ceo", str(tmp_path), "--mode", "deep-qa", "--pr", "42", "--headless"])
+ mock_wt.assert_not_called()
+
+ def test_qa_mode_foreground(self, tmp_path):
+ """Deep-QA mode without --headless launches interactively."""
+ mock_run = MagicMock(return_value=MagicMock(returncode=0))
+ with (
+ patch("factory.runners.claude.subprocess.run", mock_run),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ ):
+ main(["ceo", str(tmp_path), "--mode", "deep-qa", "--pr", "42"])
+ mock_run.assert_called_once()
+ cmd = mock_run.call_args[0][0]
+ assert cmd[0] == "claude"
+ dsp_idx = cmd.index("--dangerously-skip-permissions")
+ task = cmd[dsp_idx + 1]
+ assert "Mode: deep-qa" in task
+ assert "PR #42" in task
+
+ def test_qa_mode_max_respawns_is_1(self, tmp_path):
+ """Deep-QA mode uses max_respawns=1."""
+ with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
+ main(["ceo", str(tmp_path), "--mode", "deep-qa", "--pr", "42", "--headless"])
+ call_kwargs = mock_agent.call_args[1]
+ assert call_kwargs.get("timeout") == 7200.0
+
+
class TestCmdCeo:
def test_ceo_headless_invokes_ceo_agent(self, tmp_path, capsys):
"""cmd_ceo --headless spawns CEO agent via invoke_agent."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ ):
result = main(["ceo", str(tmp_path), "--headless"])
assert result == 0
mock_agent.assert_called_once()
@@ -1090,8 +1512,10 @@ def test_ceo_headless_invokes_ceo_agent(self, tmp_path, capsys):
def test_ceo_headless_meta_mode_task(self, tmp_path):
"""cmd_ceo --headless with --mode=meta includes meta instructions."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ ):
result = main(["ceo", str(tmp_path), "--mode", "meta", "--headless"])
assert result == 0
task = mock_agent.call_args[0][1]
@@ -1100,21 +1524,27 @@ def test_ceo_headless_meta_mode_task(self, tmp_path):
def test_ceo_headless_clones_github_url(self, capsys):
"""cmd_ceo --headless clones a GitHub URL then invokes CEO."""
url = "https://github.com/user/repo"
- with patch("factory.cli.subprocess.run") as mock_clone, \
- patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()), \
- patch("factory.cli._chain_modes", return_value=0), \
- patch("factory.cli.tempfile.mkdtemp", return_value="/tmp/factory-ceo"), \
- patch("factory.cli._read_target_branch", return_value="main"):
+ with (
+ patch("factory.cli._path_resolver.subprocess.run") as mock_clone,
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()),
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ patch("factory.cli._path_resolver.tempfile.mkdtemp", return_value="/tmp/factory-ceo"),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ ):
result = main(["ceo", url, "--headless"])
assert result == 0
mock_clone.assert_called_once_with(
- ["git", "clone", url, "/tmp/factory-ceo"], check=True,
+ ["git", "clone", url, "/tmp/factory-ceo"],
+ check=True,
)
def test_ceo_headless_timeout_is_2_hours(self, tmp_path):
"""CEO agent gets 7200s timeout in headless mode."""
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ ):
main(["ceo", str(tmp_path), "--headless"])
call_kwargs = mock_agent.call_args[1]
assert call_kwargs["timeout"] == 7200.0
@@ -1174,8 +1604,6 @@ def test_special_only(self):
assert _slugify("!!!") == "factory-project"
-
-
class TestExtractProjectName:
def test_strips_build_verb(self):
assert _extract_project_name("Build a weather CLI tool") == "weather-cli-tool"
@@ -1184,7 +1612,10 @@ def test_strips_create_verb(self):
assert _extract_project_name("Create an API server") == "api-server"
def test_strips_filler_adjectives(self):
- assert _extract_project_name("Build a comprehensive e-commerce platform with payments") == "e-commerce-platform-payments"
+ assert (
+ _extract_project_name("Build a comprehensive e-commerce platform with payments")
+ == "e-commerce-platform-payments"
+ )
def test_caps_at_four_words(self):
result = _extract_project_name("distributed eval runner for multi-node benchmarks on GPUs")
@@ -1228,7 +1659,9 @@ def test_existing_dir_different_spec_appends_suffix(self, tmp_path):
path = tmp_path / "projects" / "rest-api"
spec_dir = path / ".factory" / "strategy"
spec_dir.mkdir(parents=True)
- (spec_dir / "current.md").write_text("## Project Specification\n\nBuild a REST API for users\n")
+ (spec_dir / "current.md").write_text(
+ "## Project Specification\n\nBuild a REST API for users\n"
+ )
result = _dedupe_project_path(path, "Build a REST API for payments")
assert result == tmp_path / "projects" / "rest-api-2"
@@ -1243,7 +1676,9 @@ def test_multiple_collisions(self, tmp_path):
assert result == tmp_path / "projects" / "rest-api-4"
def test_resolve_input_dedupes_raw_prompt(self, tmp_path):
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
p1, ctx1 = _resolve_input("Build a REST API")
_materialize_project(p1, ctx1)
p2, _ = _resolve_input("Create a new REST API")
@@ -1280,7 +1715,9 @@ def test_idea_file(self, tmp_path):
idea_file = tmp_path / "My Project \u2014 Something Cool.md"
idea_file.write_text("# Build something cool")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input(str(idea_file))
assert project_path.name == "my-project"
@@ -1289,7 +1726,9 @@ def test_idea_file(self, tmp_path):
assert "Build something cool" in context
def test_raw_prompt(self, tmp_path):
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input("Build a todo app with FastAPI")
assert project_path.parent == tmp_path / "projects"
@@ -1301,7 +1740,9 @@ def test_non_md_file(self, tmp_path):
py_file = tmp_path / "script.py"
py_file.write_text("print('hello')")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input(str(py_file))
assert project_path.name == "script"
@@ -1312,8 +1753,12 @@ def test_binary_file_raises(self, tmp_path):
bin_file = tmp_path / "data.bin"
bin_file.write_bytes(b"\x00\x01\x02\xff")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"), \
- pytest.raises(UnicodeDecodeError):
+ with (
+ patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ),
+ pytest.raises(UnicodeDecodeError),
+ ):
_resolve_input(str(bin_file))
def test_ceo_receives_context(self, tmp_path):
@@ -1321,9 +1766,13 @@ def test_ceo_receives_context(self, tmp_path):
idea_file = tmp_path / "Test Idea \u2014 Details.md"
idea_file.write_text("# Test Idea\nBuild X that does Y")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"), \
- patch("factory.cli._chain_modes", return_value=0), \
- patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent:
+ with (
+ patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ),
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ ):
main(["ceo", str(idea_file), "--headless"])
task_arg = mock_agent.call_args[0][1] # second positional = task
@@ -1331,8 +1780,12 @@ def test_ceo_receives_context(self, tmp_path):
assert "Project Specification" in task_arg
def test_dir_overrides_slug_for_raw_prompt(self, tmp_path):
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
- project_path, context = _resolve_input("Build a todo app with FastAPI", dir_name="my-todo")
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
+ project_path, context = _resolve_input(
+ "Build a todo app with FastAPI", dir_name="my-todo"
+ )
assert project_path.name == "my-todo"
assert not (project_path / ".git").is_dir()
@@ -1341,7 +1794,9 @@ def test_dir_overrides_slug_for_idea_file(self, tmp_path):
idea_file = tmp_path / "Long Idea Name — Details.md"
idea_file.write_text("# Build something")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input(str(idea_file), dir_name="custom-name")
assert project_path.name == "custom-name"
@@ -1354,7 +1809,9 @@ def test_dir_ignored_for_existing_directory(self, tmp_path):
assert context is None
def test_dir_is_slugified(self, tmp_path):
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input("Build something", dir_name="My Cool Project!")
assert project_path.name == "my-cool-project"
@@ -1386,46 +1843,35 @@ def test_research_mode_task_text(self, tmp_path):
(tmp_path / ".git").mkdir()
factory_dir = tmp_path / ".factory"
factory_dir.mkdir()
- rt = {"objective": "maximize accuracy", "metric": "accuracy",
- "target": 0.9, "run_command": "python run.py",
- "result_path": "results.json"}
+ rt = {
+ "objective": "maximize accuracy",
+ "metric": "accuracy",
+ "target": 0.9,
+ "run_command": "python run.py",
+ "result_path": "results.json",
+ }
(factory_dir / "config.json").write_text(json.dumps(_make_config(research_target=rt)))
- with patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent, \
- patch("factory.cli._chain_modes", return_value=0):
+ with (
+ patch("factory.agents.runner.invoke_agent", _mock_invoke_agent_ok()) as mock_agent,
+ patch("factory.cli._ceo_helpers._chain_modes", return_value=0),
+ ):
result = main(["ceo", str(tmp_path), "--mode", "research", "--headless"])
assert result == 0
task = mock_agent.call_args[0][1]
assert "Research mode" in task
assert "research_target" in task
- def test_auto_detect_research_mode(self, tmp_project, sample_config):
- """Auto-detection returns 'research' when config has research_target."""
- from factory.models import ResearchTarget
+ def test_auto_detect_design_mode(self, tmp_project, sample_config):
+ """Auto-detection returns 'design' for all project states."""
from factory.store import ExperimentStore
- rt = ResearchTarget(
- objective="Minimize loss",
- metric="val_loss",
- target=0.01,
- run_command="python train.py",
- result_path="metrics.json",
- )
- config_with_research = sample_config.model_copy(update={"research_target": rt})
- store = ExperimentStore(tmp_project)
- asyncio.run(store.init(config_with_research))
-
- from factory.cli import _auto_detect_mode
- mode = _auto_detect_mode(tmp_project, force_fresh=True)
- assert mode == "research"
-
- def test_auto_detect_improve_without_research(self, tmp_project, sample_config):
- """Auto-detection returns 'improve' when no research_target is set."""
store = ExperimentStore(tmp_project)
asyncio.run(store.init(sample_config))
- from factory.cli import _auto_detect_mode
+ from factory.cli._mode_handlers import _auto_detect_mode
+
mode = _auto_detect_mode(tmp_project, force_fresh=True)
- assert mode == "improve"
+ assert mode == "design"
class TestBuildCeoTaskDesign:
@@ -1470,6 +1916,46 @@ def test_existing_mode_shows_display_mode(self, tmp_path):
assert "Mode: design" in task
+class TestCreateModeFocus:
+ """Tests for --focus working with --mode create (issue #832)."""
+
+ def test_focus_accepted_with_create_mode(self, tmp_path):
+ """--focus is no longer rejected when --mode create is set."""
+ (tmp_path / ".git").mkdir()
+ with _mock_foreground() as mock_run:
+ main(["ceo", str(tmp_path), "--mode", "create", "--focus", "a PR validation mode"])
+ mock_run.assert_called_once()
+ cmd = mock_run.call_args[0][0]
+ dsp_idx = cmd.index("--dangerously-skip-permissions")
+ task = cmd[dsp_idx + 1]
+ assert "## Create Mode (New Factory Mode)" in task
+ assert "a PR validation mode" in task
+
+ def test_create_mode_without_focus(self, tmp_path):
+ """--mode create without --focus still works (create_description is None)."""
+ (tmp_path / ".git").mkdir()
+ with _mock_foreground() as mock_run:
+ main(["ceo", str(tmp_path), "--mode", "create"])
+ mock_run.assert_called_once()
+ cmd = mock_run.call_args[0][0]
+ dsp_idx = cmd.index("--dangerously-skip-permissions")
+ task = cmd[dsp_idx + 1]
+ assert "## Create Mode (New Factory Mode)" not in task
+
+ def test_build_ceo_task_create_description(self, tmp_path):
+ """_build_ceo_task emits the Create Mode section when create_description is provided."""
+ task = _build_ceo_task(tmp_path, "build", create_description="a mode for validating PRs")
+ assert "## Create Mode (New Factory Mode)" in task
+ assert "a mode for validating PRs" in task
+ assert "Mode description from user" in task
+ assert "## Focus Directive" not in task
+
+ def test_build_ceo_task_no_create_description(self, tmp_path):
+ """_build_ceo_task omits the Create Mode section when create_description is None."""
+ task = _build_ceo_task(tmp_path, "build", create_description=None)
+ assert "## Create Mode (New Factory Mode)" not in task
+
+
class TestProfileParser:
def test_profile_build_subcommand(self):
parser = build_parser()
@@ -1509,9 +1995,17 @@ def test_use_profile_flag_on_run(self):
def test_use_profile_flag_on_agent(self):
parser = build_parser()
- args = parser.parse_args([
- "agent", "researcher", "--task", "test", "--project", "/p", "--use-profile",
- ])
+ args = parser.parse_args(
+ [
+ "agent",
+ "researcher",
+ "--task",
+ "test",
+ "--project",
+ "/p",
+ "--use-profile",
+ ]
+ )
assert args.use_profile is True
@@ -1551,12 +2045,12 @@ class TestCmdHomeReturnsFactoryDir:
def test_cmd_home_returns_package_root(self, capsys):
from factory.cli import cmd_home
import argparse
+
result = cmd_home(argparse.Namespace())
assert result == 0
output = capsys.readouterr().out.strip()
assert "site-packages" not in output or Path(output).is_dir()
- assert (Path(output) / "templates").is_dir()
- assert (Path(output) / "cli.py").is_file()
+ assert (Path(output) / "cli" / "__init__.py").is_file()
class TestCmdTmuxBareCLI:
@@ -1565,12 +2059,17 @@ def test_tmux_command_uses_bare_factory(self):
from factory.cli import cmd_tmux
import argparse
- with patch("factory.cli._tmux_available", return_value=True), \
- patch("subprocess.run") as mock_run:
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("factory.cli._tmux_commands.time.sleep"),
+ patch("subprocess.run") as mock_run,
+ ):
mock_run.return_value = type("R", (), {"returncode": 1})() # has-session fails
mock_run.side_effect = [
type("R", (), {"returncode": 1})(), # has-session → no existing session
- type("R", (), {"returncode": 0})(), # new-session → success
+ type("R", (), {"returncode": 0})(), # new-session → success
+ type("R", (), {"returncode": 0, "stdout": "", "stderr": ""})(), # capture-pane
]
args = argparse.Namespace(
path="/tmp/test-project",
@@ -1600,6 +2099,7 @@ class TestPluginAgentsDirGuard:
def test_plugin_agents_dir_none_when_missing(self, tmp_path):
"""_PLUGIN_AGENTS_DIR is None when the agents/ dir doesn't exist."""
from factory.agents import plugin
+
original = plugin._PLUGIN_AGENTS_DIR
try:
plugin._PLUGIN_AGENTS_DIR = None
@@ -1615,8 +2115,10 @@ def test_cmd_notify_resolves_relative_path(self, tmp_path, capsys):
from factory.cli import cmd_notify
import argparse
- with patch("factory.cli._run", side_effect=lambda c: []), \
- patch("factory.notify.telegram.TelegramNotifier") as MockNotifier:
+ with (
+ patch("factory.cli.admin._run", side_effect=lambda c: []),
+ patch("factory.notify.telegram.TelegramNotifier") as MockNotifier,
+ ):
mock_instance = MockNotifier.return_value
mock_instance.send_digest = AsyncMock()
args = argparse.Namespace(path=str(tmp_path))
@@ -1633,7 +2135,7 @@ def test_cmd_archive_resolves_relative_path(self, tmp_path, capsys):
project_path.mkdir()
(project_path / ".factory").mkdir()
- with patch("factory.cli._run", side_effect=lambda c: []):
+ with patch("factory.cli.infra._run", side_effect=lambda c: []):
args = argparse.Namespace(path=str(project_path))
result = cmd_archive(args)
assert result == 0
@@ -1646,7 +2148,7 @@ class TestNoBareUvRunPythonMFactory:
SCAN_GLOBS = [
"factory/agents/prompts/*.md",
- "factory/cli.py",
+ "factory/cli/*.py",
"SKILL.md",
"README.md",
"docs/**/*.md",
@@ -1654,6 +2156,7 @@ class TestNoBareUvRunPythonMFactory:
def test_no_hardcoded_uv_run_python_m_factory(self):
import glob
+
repo_root = Path(__file__).resolve().parent.parent
violations: list[str] = []
for pattern in self.SCAN_GLOBS:
@@ -1690,7 +2193,7 @@ def test_sacred_rule_8_in_sacred_rules_section(self):
"""Rule 8 must be in the numbered Sacred Rules list, not just mentioned elsewhere."""
repo_root = Path(__file__).resolve().parent.parent
ceo_prompt = (repo_root / "factory" / "agents" / "prompts" / "ceo.md").read_text()
- assert '8. **Do not do another agent\'s job**' in ceo_prompt, (
+ assert "8. **Do not do another agent's job**" in ceo_prompt, (
"Sacred Rule 8 must be a numbered item (8.) in the Sacred Rules section"
)
@@ -1704,7 +2207,9 @@ def test_new_repo_has_commit(self, tmp_path):
_ensure_repo(project)
result = subprocess.run(
["git", "rev-list", "--count", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
)
assert result.returncode == 0
assert int(result.stdout.strip()) >= 1
@@ -1715,7 +2220,9 @@ def test_new_repo_has_valid_branch(self, tmp_path):
_ensure_repo(project)
result = subprocess.run(
["git", "rev-parse", "--abbrev-ref", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
)
assert result.returncode == 0
branch = result.stdout.strip()
@@ -1727,12 +2234,16 @@ def test_idempotent_on_existing_repo(self, tmp_path):
_ensure_repo(project)
count_before = subprocess.run(
["git", "rev-list", "--count", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
).stdout.strip()
_ensure_repo(project)
count_after = subprocess.run(
["git", "rev-list", "--count", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
).stdout.strip()
assert count_before == count_after
@@ -1763,8 +2274,10 @@ def test_slug_derived_from_filename(self, tmp_path, capsys):
def test_raw_idea_persists_spec(self, tmp_path):
"""When --mode design receives a raw string, the spec should be persisted."""
- with _mock_foreground(), \
- patch("factory.cli._get_projects_dir", return_value=tmp_path):
+ with (
+ _mock_foreground(),
+ patch("factory.cli._ceo_helpers._get_projects_dir", return_value=tmp_path),
+ ):
main(["ceo", "Build a CLI todo app", "--mode", "design"])
matches = [p for p in tmp_path.iterdir() if p.is_dir()]
assert len(matches) == 1
@@ -1808,7 +2321,9 @@ def test_refine_exclusive_with_prompt(self, tmp_path, capsys):
prompt_file = tmp_path / "spec.md"
prompt_file.write_text("some spec")
with _mock_foreground():
- result = main(["ceo", str(tmp_path), "--refine", "fix bug", "--prompt", str(prompt_file)])
+ result = main(
+ ["ceo", str(tmp_path), "--refine", "fix bug", "--prompt", str(prompt_file)]
+ )
assert result == 1
assert "mutually exclusive" in capsys.readouterr().err
@@ -1860,137 +2375,9 @@ def test_refiner_prompt_has_key_sections(self):
prompt_path = Path(__file__).parent.parent / "factory" / "agents" / "prompts" / "refiner.md"
content = prompt_path.read_text()
assert "Tier" in content, "refiner.md should reference Tier classification"
- assert "Builder" in content or "builder" in content, "refiner.md should reference the Builder agent"
-class TestWizardLongInputRedirect:
- """Tests for wizard long-input redirect to ~/.factory/wizard_input.md."""
-
- def _make_input_fn(self, first_response):
- """Return an input() replacement that returns first_response then raises EOFError."""
- call_count = 0
-
- def _input(prompt=""):
- nonlocal call_count
- call_count += 1
- if call_count == 1:
- return first_response
- raise EOFError
-
- return _input
-
- def test_long_input_triggers_file_write(self, tmp_path, monkeypatch):
- """Input >200 chars is written to ~/.factory/wizard_input.md with matching content."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
-
- long_input = "a" * 250
- monkeypatch.setattr("builtins.input", self._make_input_fn(long_input))
-
- _welcome_wizard()
-
- assert wizard_file.exists()
- assert wizard_file.read_text() == long_input
-
- def test_short_input_no_file_written(self, tmp_path, monkeypatch):
- """Input <=200 chars does NOT write a file."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
-
- short_input = "Build a weather CLI"
- monkeypatch.setattr("builtins.input", self._make_input_fn(short_input))
-
- with patch("factory.cli._classify_with_llm", return_value=([], [
- {"label": "Build", "explanation": "Build it.", "command": "factory ceo 'Build a weather CLI' --mode build"},
- ])):
- _welcome_wizard()
-
- assert not wizard_file.exists()
-
- def test_long_path_not_redirected(self, tmp_path, monkeypatch):
- """A long string that is an existing directory is NOT redirected."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
-
- long_dir = tmp_path / ("a" * 210)
- long_dir.mkdir()
-
- monkeypatch.setattr("builtins.input", self._make_input_fn(str(long_dir)))
-
- _welcome_wizard()
-
- assert not wizard_file.exists()
-
- def test_long_url_not_redirected(self, tmp_path, monkeypatch):
- """A long GitHub URL is NOT redirected."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
-
- long_url = "https://github.com/user/" + "r" * 200
- monkeypatch.setattr("builtins.input", self._make_input_fn(long_url))
-
- _welcome_wizard()
-
- assert not wizard_file.exists()
-
- def test_wizard_file_inside_factory_dir(self, tmp_path, monkeypatch):
- """The written file is inside ~/.factory/."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
-
- long_input = "x" * 250
- monkeypatch.setattr("builtins.input", self._make_input_fn(long_input))
-
- _welcome_wizard()
-
- wizard_file = fake_home / ".factory" / "wizard_input.md"
- assert wizard_file.exists()
- assert wizard_file.parent == fake_home / ".factory"
-
-
-class TestQuickClassifyWizardFile:
- """Tests for _quick_classify returning None for wizard-generated files (LLM fallthrough)."""
-
- def test_wizard_file_returns_none(self, tmp_path, monkeypatch):
- """_quick_classify returns None for wizard_input.md so LLM classifies the content."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
- wizard_file.parent.mkdir(parents=True)
- wizard_file.write_text("some long idea text")
-
- result = _quick_classify(str(wizard_file))
- assert result is None
-
- def test_regular_file_returns_one_option(self, tmp_path):
- """_quick_classify returns one option for a regular spec file."""
- spec_file = tmp_path / "spec.md"
- spec_file.write_text("# My project spec")
-
- result = _quick_classify(str(spec_file))
- assert result is not None
- assert len(result) == 1
- assert result[0]["label"] == "Build from this spec file"
-
- def test_wizard_file_with_tilde_path_returns_none(self, tmp_path, monkeypatch):
- """_quick_classify returns None for ~/.factory/wizard_input.md with tilde expansion."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
- wizard_file.parent.mkdir(parents=True)
- wizard_file.write_text("idea content")
-
- result = _quick_classify("~/.factory/wizard_input.md")
- assert result is None
+ assert "Builder" in content or "builder" in content, (
+ "refiner.md should reference the Builder agent"
+ )
class TestMaterializeProject:
@@ -2019,12 +2406,16 @@ def test_idempotent_on_existing_repo(self, tmp_path):
_materialize_project(project, "first spec")
count_before = subprocess.run(
["git", "rev-list", "--count", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
).stdout.strip()
_materialize_project(project, "second spec")
count_after = subprocess.run(
["git", "rev-list", "--count", "HEAD"],
- cwd=project, capture_output=True, text=True,
+ cwd=project,
+ capture_output=True,
+ text=True,
).stdout.strip()
assert count_before == count_after
@@ -2054,9 +2445,9 @@ def test_not_scaffold_with_extra_commit(self, tmp_path):
(project / "README.md").write_text("# Hello")
subprocess.run(["git", "add", "README.md"], cwd=project, capture_output=True)
subprocess.run(
- ["git", "-c", "user.name=Test", "-c", "user.email=t@t",
- "commit", "-m", "second"],
- cwd=project, capture_output=True,
+ ["git", "-c", "user.name=Test", "-c", "user.email=t@t", "commit", "-m", "second"],
+ cwd=project,
+ capture_output=True,
)
assert _is_scaffold_only(project) is False
@@ -2076,7 +2467,9 @@ def test_resolve_then_materialize_file(self, tmp_path):
idea_file = tmp_path / "my-app.md"
idea_file.write_text("Build something cool")
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input(str(idea_file))
assert not project_path.exists()
@@ -2085,15 +2478,18 @@ def test_resolve_then_materialize_file(self, tmp_path):
assert (project_path / ".factory" / "strategy" / "current.md").exists()
def test_resolve_then_materialize_raw_prompt(self, tmp_path):
- with patch("factory.cli._get_projects_dir", return_value=tmp_path / "projects"):
+ with patch(
+ "factory.cli._path_resolver._get_projects_dir", return_value=tmp_path / "projects"
+ ):
project_path, context = _resolve_input("Build a weather CLI")
assert not project_path.exists()
_materialize_project(project_path, context)
assert (project_path / ".git").is_dir()
- assert "Build a weather CLI" in (
- project_path / ".factory" / "strategy" / "current.md"
- ).read_text()
+ assert (
+ "Build a weather CLI"
+ in (project_path / ".factory" / "strategy" / "current.md").read_text()
+ )
def test_existing_dir_not_affected(self, tmp_path):
"""_resolve_input on existing dir returns it unchanged, _materialize_project is no-op."""
@@ -2101,3 +2497,497 @@ def test_existing_dir_not_affected(self, tmp_path):
project_path, context = _resolve_input(str(tmp_path))
assert project_path == tmp_path
assert context is None
+
+
+class TestFromPlanFlag:
+ """Tests for --from-plan flag on design mode."""
+
+ def test_from_plan_requires_design_mode(self, capsys):
+ """--from-plan without --mode design is rejected."""
+ result = main(["ceo", "/some/path", "--mode", "improve", "--from-plan", "plan.md"])
+ assert result == 1
+ assert "--from-plan requires --mode design" in capsys.readouterr().err
+
+ def test_from_plan_mutually_exclusive_with_focus(self, capsys):
+ """--from-plan and --focus cannot be used together."""
+ result = main(
+ ["ceo", "/some/path", "--mode", "design", "--from-plan", "plan.md", "--focus", "auth"]
+ )
+ assert result == 1
+ assert "mutually exclusive" in capsys.readouterr().err.lower()
+
+ def test_from_plan_mutually_exclusive_with_prompt(self, capsys):
+ """--from-plan and --prompt cannot be used together."""
+ result = main(
+ [
+ "ceo",
+ "/some/path",
+ "--mode",
+ "design",
+ "--from-plan",
+ "plan.md",
+ "--prompt",
+ "spec.md",
+ ]
+ )
+ assert result == 1
+ assert "mutually exclusive" in capsys.readouterr().err.lower()
+
+ def test_from_plan_default_is_none(self):
+ """from_plan defaults to None when flag is omitted."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="some idea",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=False,
+ from_plan=None,
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int)
+ *_, from_plan, _just_plan = validated
+ assert from_plan is None
+
+ def test_from_plan_validation_passes_with_design_mode(self):
+ """--from-plan with --mode design passes validation."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="some idea",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=False,
+ from_plan="plan.md",
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int), f"Expected tuple, got error code {validated}"
+ *_, from_plan, _just_plan = validated
+ assert from_plan == "plan.md"
+
+
+class TestResolvePlanSource:
+ """Tests for _resolve_plan_source()."""
+
+ def test_resolve_plan_source_local_file(self, tmp_path):
+ """Local file path returns PlanSource with plan content and no feedback."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ plan_file = tmp_path / "my-plan.md"
+ plan_file.write_text("## Phase 1\nBuild the scaffold")
+ result = _resolve_plan_source(str(plan_file), tmp_path)
+ assert "## Phase 1" in result.plan
+ assert "Build the scaffold" in result.plan
+ assert result.feedback == []
+ assert result.source == "my-plan.md"
+
+ def test_resolve_plan_source_relative_file(self, tmp_path):
+ """Relative file path is resolved relative to project_path."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ plan_file = tmp_path / "plan.md"
+ plan_file.write_text("## Phase 1\nDo things")
+ result = _resolve_plan_source("plan.md", tmp_path)
+ assert "## Phase 1" in result.plan
+
+ def test_resolve_plan_source_issue_number(self, tmp_path):
+ """Issue number triggers fetch_issue path and returns PlanSource."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ (tmp_path / ".git").mkdir()
+ subprocess.run(
+ ["git", "init"],
+ cwd=tmp_path,
+ capture_output=True,
+ check=True,
+ )
+ subprocess.run(
+ [
+ "git",
+ "-C",
+ str(tmp_path),
+ "remote",
+ "add",
+ "origin",
+ "git@github.com:owner/repo.git",
+ ],
+ capture_output=True,
+ check=True,
+ )
+
+ from factory.issue import IssueSpec
+
+ mock_issue = IssueSpec(number=42, title="Plan", body="plan body", url="", forge="github")
+ with (
+ patch("factory.issue.fetch_issue", return_value=mock_issue),
+ patch("factory.issue.parse_issue_ref", return_value=("github", "owner/repo", 42)),
+ patch("subprocess.run") as mock_run,
+ ):
+ mock_run.return_value = MagicMock(
+ stdout=json.dumps(["comment body 1", "comment body 2"]),
+ returncode=0,
+ )
+ result = _resolve_plan_source("42", tmp_path)
+ assert result.plan == "plan body"
+ assert result.feedback == ["comment body 1", "comment body 2"]
+
+ def test_resolve_plan_source_fuzzy_search(self, tmp_path):
+ """Non-file, non-issue string triggers fuzzy search and returns PlanSource."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ (tmp_path / ".git").mkdir()
+ subprocess.run(
+ ["git", "init"],
+ cwd=tmp_path,
+ capture_output=True,
+ check=True,
+ )
+ subprocess.run(
+ [
+ "git",
+ "-C",
+ str(tmp_path),
+ "remote",
+ "add",
+ "origin",
+ "git@github.com:owner/repo.git",
+ ],
+ capture_output=True,
+ check=True,
+ )
+
+ from factory.issue import IssueSpec
+
+ mock_issue = IssueSpec(
+ number=99, title="My Plan", body="fuzzy plan body", url="", forge="github"
+ )
+ search_result = json.dumps([{"number": 99, "title": "My Plan"}])
+
+ with (
+ patch("factory.issue.infer_remote", return_value=("github", "owner/repo")),
+ patch("factory.issue.fetch_issue", return_value=mock_issue),
+ patch("factory.issue.parse_issue_ref", return_value=("github", "owner/repo", 99)),
+ patch("subprocess.run") as mock_run,
+ ):
+ mock_run.side_effect = [
+ MagicMock(stdout=search_result, returncode=0),
+ MagicMock(stdout="[]", returncode=0),
+ ]
+ result = _resolve_plan_source("my cool plan", tmp_path)
+ assert result.plan == "fuzzy plan body"
+
+ def test_resolve_plan_source_includes_comments(self, tmp_path):
+ """Issue fetch separates body (plan) from comments (feedback)."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ from factory.issue import IssueSpec
+
+ mock_issue = IssueSpec(number=10, title="Plan", body="issue body", url="", forge="github")
+ with (
+ patch("factory.issue.fetch_issue", return_value=mock_issue),
+ patch("factory.issue.parse_issue_ref", return_value=("github", "owner/repo", 10)),
+ patch("subprocess.run") as mock_run,
+ ):
+ mock_run.return_value = MagicMock(
+ stdout=json.dumps(["first comment", "second comment"]),
+ returncode=0,
+ )
+ result = _resolve_plan_source("10", tmp_path)
+ assert result.plan == "issue body"
+ assert result.feedback == ["first comment", "second comment"]
+ assert result.source == "issue #10"
+
+ def test_resolve_plan_source_multiline_comments(self, tmp_path):
+ """Multi-line comments are preserved as single entries, not split on newlines."""
+ from factory.cli._path_resolver import _resolve_plan_source
+
+ from factory.issue import IssueSpec
+
+ multiline_comment = "Phase 1 feedback:\n- Add auth\n- Add caching\n\nPhase 2 looks good."
+ mock_issue = IssueSpec(number=10, title="Plan", body="issue body", url="", forge="github")
+ with (
+ patch("factory.issue.fetch_issue", return_value=mock_issue),
+ patch("factory.issue.parse_issue_ref", return_value=("github", "owner/repo", 10)),
+ patch("subprocess.run") as mock_run,
+ ):
+ mock_run.return_value = MagicMock(
+ stdout=json.dumps([multiline_comment, "short comment"]),
+ returncode=0,
+ )
+ result = _resolve_plan_source("10", tmp_path)
+ assert len(result.feedback) == 2
+ assert (
+ "Phase 1 feedback:\n- Add auth\n- Add caching\n\nPhase 2 looks good."
+ in result.feedback[0]
+ )
+ assert result.feedback[1] == "short comment"
+
+
+class TestBuildCeoTaskFromPlan:
+ """Tests for _build_ceo_task with from_plan parameter."""
+
+ def test_build_ceo_task_from_plan_directive(self, tmp_path):
+ """from_plan parameter emits the Plan Loop (From Existing Plan) section."""
+ task = _build_ceo_task(tmp_path, "design", from_plan="## Phase 1\nBuild it")
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "Skip the Research phase" in task
+
+ def test_build_ceo_task_no_from_plan(self, tmp_path):
+ """Without from_plan, the section is not emitted."""
+ task = _build_ceo_task(tmp_path, "design")
+ assert "## Plan Loop (From Existing Plan)" not in task
+
+ def test_build_ceo_task_from_plan_none(self, tmp_path):
+ """from_plan=None does not emit the section."""
+ task = _build_ceo_task(tmp_path, "design", from_plan=None)
+ assert "## Plan Loop (From Existing Plan)" not in task
+
+ def test_build_ceo_task_from_plan_with_feedback_includes_reconciliation(self, tmp_path):
+ """from_plan with feedback includes Strategist reconciliation instructions."""
+ task = _build_ceo_task(
+ tmp_path,
+ "design",
+ from_plan="## Phase 1\nBuild it",
+ from_plan_feedback=["Please add auth", "Also need caching"],
+ )
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "thread-feedback.md" in task
+ assert "Reconcile" in task
+ assert "Strategist" in task
+ assert "RECONCILED" in task
+
+ def test_build_ceo_task_from_plan_without_feedback_skips_strategist(self, tmp_path):
+ """from_plan without feedback skips the Strategist step."""
+ task = _build_ceo_task(
+ tmp_path,
+ "design",
+ from_plan="## Phase 1\nBuild it",
+ from_plan_feedback=[],
+ )
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "No thread feedback exists" in task
+ assert "no Strategist needed" in task
+ assert "RECONCILED" not in task
+
+ def test_build_ceo_task_from_plan_feedback_none_skips_strategist(self, tmp_path):
+ """from_plan with feedback=None behaves like no feedback."""
+ task = _build_ceo_task(
+ tmp_path,
+ "design",
+ from_plan="## Phase 1\nBuild it",
+ from_plan_feedback=None,
+ )
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "No thread feedback exists" in task
+
+ def test_build_ceo_task_from_plan_excludes_design_existing(self, tmp_path):
+ """from_plan takes precedence over design_existing — no contradictory directives."""
+ task = _build_ceo_task(
+ tmp_path,
+ "design",
+ from_plan="## Phase 1\nBuild it",
+ design_existing=True,
+ )
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "## Plan Loop (Interactive)" not in task
+
+ def test_build_ceo_task_from_plan_excludes_design_idea(self, tmp_path):
+ """from_plan takes precedence over design_idea — no contradictory directives."""
+ task = _build_ceo_task(
+ tmp_path,
+ "design",
+ from_plan="## Phase 1\nBuild it",
+ design_idea="Build a weather CLI",
+ )
+ assert "## Plan Loop (From Existing Plan)" in task
+ assert "## Plan Loop (Interactive)" not in task
+ assert "Raw idea from user" not in task
+
+
+class TestFromPlanFeedbackWritesFile:
+ """Tests for thread feedback file writing in _execute_ceo."""
+
+ def test_from_plan_with_feedback_writes_thread_feedback_file(self, tmp_path):
+ """When plan source has feedback, thread-feedback.md is written."""
+ from factory.cli._path_resolver import PlanSource
+
+ plan_source = PlanSource(
+ plan="## Phase 1\nBuild it",
+ feedback=["Add auth flow", "Need caching layer"],
+ source="issue #42",
+ )
+ mock_invoke = _mock_invoke_agent_ok()
+ with (
+ patch("factory.agents.runner.invoke_agent", mock_invoke),
+ patch(
+ "factory.worktree.create_worktree",
+ side_effect=lambda p, b="main", run_id=None: (p, "factory/run-test"),
+ ),
+ patch("factory.worktree.remove_worktree"),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.cli._path_resolver._is_scaffold_only", return_value=False),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ patch("factory.cli._ceo_helpers._resolve_plan_source", return_value=plan_source),
+ ):
+ result = main(
+ ["ceo", str(tmp_path), "--mode", "design", "--from-plan", "42", "--auto-approve"]
+ )
+ assert result == 0
+ feedback_file = tmp_path / ".factory" / "strategy" / "thread-feedback.md"
+ assert feedback_file.exists()
+ content = feedback_file.read_text()
+ assert "Add auth flow" in content
+ assert "Need caching layer" in content
+
+ def test_from_plan_without_feedback_no_thread_feedback_file(self, tmp_path):
+ """When plan source has no feedback, thread-feedback.md is not written."""
+ from factory.cli._path_resolver import PlanSource
+
+ plan_source = PlanSource(
+ plan="## Phase 1\nBuild it",
+ feedback=[],
+ source="my-plan.md",
+ )
+ mock_invoke = _mock_invoke_agent_ok()
+ with (
+ patch("factory.agents.runner.invoke_agent", mock_invoke),
+ patch(
+ "factory.worktree.create_worktree",
+ side_effect=lambda p, b="main", run_id=None: (p, "factory/run-test"),
+ ),
+ patch("factory.worktree.remove_worktree"),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("factory.cli._ceo_helpers._read_target_branch", return_value="main"),
+ patch("factory.cli._path_resolver._is_scaffold_only", return_value=False),
+ patch("factory.cli._helpers._ensure_dashboard"),
+ patch("factory.graph.is_graphify_installed", return_value=False),
+ patch("factory.cli._ceo_helpers._resolve_plan_source", return_value=plan_source),
+ ):
+ result = main(
+ [
+ "ceo",
+ str(tmp_path),
+ "--mode",
+ "design",
+ "--from-plan",
+ "plan.md",
+ "--auto-approve",
+ ]
+ )
+ assert result == 0
+ feedback_file = tmp_path / ".factory" / "strategy" / "thread-feedback.md"
+ assert not feedback_file.exists()
+
+
+class TestJustPlanFlag:
+ """Tests for --just-plan flag on design mode."""
+
+ def test_just_plan_requires_design_mode(self, capsys):
+ """--just-plan without --mode design is rejected."""
+ result = main(["ceo", "/some/path", "--mode", "improve", "--just-plan"])
+ assert result == 1
+ assert "--just-plan requires --mode design" in capsys.readouterr().err
+
+ def test_just_plan_mutually_exclusive_with_from_plan(self, capsys):
+ """--just-plan and --from-plan cannot be used together."""
+ result = main(
+ ["ceo", "/some/path", "--mode", "design", "--just-plan", "--from-plan", "plan.md"]
+ )
+ assert result == 1
+ assert "mutually exclusive" in capsys.readouterr().err.lower()
+
+ def test_just_plan_mutually_exclusive_with_prompt(self, capsys):
+ """--just-plan and --prompt cannot be used together."""
+ result = main(
+ ["ceo", "/some/path", "--mode", "design", "--just-plan", "--prompt", "spec.md"]
+ )
+ assert result == 1
+ assert "mutually exclusive" in capsys.readouterr().err.lower()
+
+ def test_just_plan_with_focus_allowed(self):
+ """--just-plan and --focus are allowed together."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="/some/path",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus="auth",
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=False,
+ from_plan=None,
+ just_plan=True,
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int), f"Expected tuple, got error code {validated}"
+ *_, just_plan = validated
+ assert just_plan is True
+
+ def test_mode_plan_no_longer_valid(self, capsys):
+ """--mode plan is rejected at runtime (not a valid built-in or project mode)."""
+ result = main(["ceo", "/some/path", "--mode", "plan"])
+ assert result == 1
+ captured = capsys.readouterr()
+ assert "unknown mode" in captured.err
+
+ def test_just_plan_default_is_false(self):
+ """just_plan defaults to False when flag is omitted."""
+ from factory.cli._ceo_helpers import _validate_ceo_flags
+
+ args = argparse.Namespace(
+ path="some idea",
+ mode="design",
+ bg=False,
+ bg_agents=False,
+ headless=False,
+ prompt=None,
+ focus=None,
+ dir=None,
+ no_github=False,
+ refine=None,
+ auto_approve=False,
+ from_plan=None,
+ just_plan=False,
+ )
+ validated = _validate_ceo_flags(args)
+ assert not isinstance(validated, int)
+ *_, just_plan = validated
+ assert just_plan is False
+
+ def test_task_builder_just_plan_directive(self, tmp_path):
+ """_build_ceo_task generates the plan directive for just_plan=True."""
+ task = _build_ceo_task(tmp_path, "design", just_plan=True)
+ assert "## Plan Loop (Just Plan)" in task
+ assert "just_plan: true" in task
+ assert "Terminal mode" in task
+ assert "### Post-Approval: GitHub Publish (MANDATORY)" in task
+ assert "gh label create plan" in task
+ assert "gh issue comment" in task
+ assert "gh issue create" in task
+ assert "Do NOT skip this step" in task
+
+ def test_task_builder_no_just_plan_directive(self, tmp_path):
+ """_build_ceo_task omits the plan directive when just_plan=False."""
+ task = _build_ceo_task(tmp_path, "design", just_plan=False)
+ assert "## Plan Loop (Just Plan)" not in task
diff --git a/tests/test_cli_export.py b/tests/test_cli_export.py
index a48e33b08..246f285b7 100644
--- a/tests/test_cli_export.py
+++ b/tests/test_cli_export.py
@@ -20,7 +20,9 @@ async def _setup_factory_project(
await store.init(config)
if with_strategy:
- await store.write_strategy("## Current Strategy\n\nFocus on tests.\n")
+ strategy_path = store.factory_dir / "strategy" / "current.md"
+ strategy_path.parent.mkdir(parents=True, exist_ok=True)
+ strategy_path.write_text("## Current Strategy\n\nFocus on tests.\n")
if with_eval_profile:
from factory.models import EvalDimension, EvalProfile
@@ -51,9 +53,14 @@ def test_export_produces_valid_json(tmp_project: Path, sample_config: FactoryCon
"""Export a project with .factory/ and verify valid JSON output."""
import asyncio
- asyncio.run(_setup_factory_project(
- tmp_project, sample_config, with_strategy=True, with_eval_profile=True,
- ))
+ asyncio.run(
+ _setup_factory_project(
+ tmp_project,
+ sample_config,
+ with_strategy=True,
+ with_eval_profile=True,
+ )
+ )
code = main(["export", str(tmp_project)])
assert code == 0
@@ -116,9 +123,7 @@ def test_export_minimal_factory(tmp_project: Path, sample_config: FactoryConfig,
assert data["experiments"] == []
-def test_export_with_experiment_history(
- tmp_project: Path, sample_config: FactoryConfig, capsys
-):
+def test_export_with_experiment_history(tmp_project: Path, sample_config: FactoryConfig, capsys):
"""Export includes experiment records from results.tsv."""
import asyncio
from datetime import datetime
diff --git a/tests/test_cli_graph.py b/tests/test_cli_graph.py
new file mode 100644
index 000000000..378ab19e1
--- /dev/null
+++ b/tests/test_cli_graph.py
@@ -0,0 +1,115 @@
+"""Tests for factory.cli.graph — extract, update, status subcommands."""
+
+from __future__ import annotations
+
+import argparse
+import json
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+from factory.cli.graph import cmd_graph_extract, cmd_graph_status, cmd_graph_update
+
+
+def _write_graph(tmp_path: Path, data: dict | None = None) -> Path:
+ gdir = tmp_path / ".factory" / "graphify-out"
+ gdir.mkdir(parents=True)
+ gpath = gdir / "graph.json"
+ gpath.write_text(json.dumps(data or {"nodes": [], "edges": []}))
+ return gpath
+
+
+class TestCmdGraphExtract:
+ def test_not_a_directory(self) -> None:
+ args = argparse.Namespace(path="/nonexistent")
+ assert cmd_graph_extract(args) == 1
+
+ @patch("factory.graph.is_graphify_installed", return_value=False)
+ def test_graphify_not_installed(self, _mock: MagicMock, tmp_path: Path) -> None:
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_extract(args) == 1
+
+ @patch("factory.graph.extract_graph", return_value=None)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_extraction_failure(self, _inst: MagicMock, _ext: MagicMock, tmp_path: Path) -> None:
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_extract(args) == 1
+
+ @patch("factory.graph.extract_graph")
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_success(self, _inst: MagicMock, mock_ext: MagicMock, tmp_path: Path) -> None:
+ gpath = tmp_path / ".factory" / "graphify-out" / "graph.json"
+ mock_ext.return_value = gpath
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_extract(args) == 0
+
+
+class TestCmdGraphUpdate:
+ def test_not_a_directory(self) -> None:
+ args = argparse.Namespace(path="/nonexistent")
+ assert cmd_graph_update(args) == 1
+
+ @patch("factory.graph.is_graphify_installed", return_value=False)
+ def test_graphify_not_installed(self, _mock: MagicMock, tmp_path: Path) -> None:
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_update(args) == 1
+
+ @patch("factory.graph.update_graph")
+ @patch("factory.graph.is_graph_available", return_value=True)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_incremental_update(
+ self, _inst: MagicMock, _avail: MagicMock, mock_upd: MagicMock, tmp_path: Path
+ ) -> None:
+ mock_upd.return_value = tmp_path / "graph.json"
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_update(args) == 0
+
+ @patch("factory.graph.extract_graph")
+ @patch("factory.graph.is_graph_available", return_value=False)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_fallback_to_full_extract(
+ self, _inst: MagicMock, _avail: MagicMock, mock_ext: MagicMock, tmp_path: Path
+ ) -> None:
+ mock_ext.return_value = tmp_path / "graph.json"
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_update(args) == 0
+
+ @patch("factory.graph.update_graph", return_value=None)
+ @patch("factory.graph.is_graph_available", return_value=True)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_update_failure(
+ self, _inst: MagicMock, _avail: MagicMock, _upd: MagicMock, tmp_path: Path
+ ) -> None:
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_update(args) == 1
+
+
+class TestCmdGraphStatus:
+ def test_not_a_directory(self) -> None:
+ args = argparse.Namespace(path="/nonexistent")
+ assert cmd_graph_status(args) == 1
+
+ @patch("factory.graph.is_graphify_installed", return_value=False)
+ def test_no_graph(self, _mock: MagicMock, tmp_path: Path) -> None:
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_status(args) == 0
+
+ @patch("factory.graph.is_graph_stale", return_value=True)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_stale_graph(self, _inst: MagicMock, _stale: MagicMock, tmp_path: Path) -> None:
+ _write_graph(tmp_path, {"nodes": [{"id": "a"}], "edges": []})
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_status(args) == 0
+
+ @patch("factory.graph.is_graph_stale", return_value=False)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_fresh_graph(self, _inst: MagicMock, _stale: MagicMock, tmp_path: Path) -> None:
+ _write_graph(tmp_path, {"nodes": [{"id": "a"}], "edges": []})
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_status(args) == 0
+
+ @patch("factory.graph.is_graph_stale", return_value=None)
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_unknown_staleness(self, _inst: MagicMock, _stale: MagicMock, tmp_path: Path) -> None:
+ _write_graph(tmp_path, {"nodes": [{"id": "a"}], "edges": []})
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_graph_status(args) == 0
diff --git a/tests/test_cli_wizard.py b/tests/test_cli_wizard.py
deleted file mode 100644
index 03f8b9f42..000000000
--- a/tests/test_cli_wizard.py
+++ /dev/null
@@ -1,993 +0,0 @@
-"""Tests for the welcome wizard in factory/cli.py."""
-
-from __future__ import annotations
-
-import json
-from pathlib import Path
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from factory.cli import (
- _CLI_REF,
- _ask_follow_ups,
- _classify_with_llm,
- _quick_classify,
- _show_spinner,
- _substitute_answers,
- _welcome_wizard,
- main,
-)
-from factory.models import AgentRunResult
-
-
-def _mock_run_result(stdout: str, return_code: int = 0) -> AgentRunResult:
- return AgentRunResult(stdout=stdout, return_code=return_code)
-
-
-# -- TTY detection --------------------------------------------------------
-
-
-class TestTTYDetection:
- """Wizard activates only when stdin+stderr are TTYs."""
-
- def test_non_tty_prints_help(self, capsys: pytest.CaptureFixture[str]) -> None:
- """Non-TTY falls through to argparse help (backward compatible)."""
- with patch("sys.stdin") as mock_stdin, \
- patch("sys.stderr") as mock_stderr:
- mock_stdin.isatty.return_value = False
- mock_stderr.isatty.return_value = False
- code = main([])
- assert code == 1
-
- def test_tty_launches_refactory(self) -> None:
- """TTY with no subcommand always dispatches to cmd_refactory."""
- with patch("factory.cli.cmd_refactory", return_value=0) as mock_refactory, \
- patch("sys.stdin") as mock_stdin, \
- patch("sys.stderr") as mock_stderr:
- mock_stdin.isatty.return_value = True
- mock_stderr.isatty.return_value = True
- code = main([])
- assert code == 0
- mock_refactory.assert_called_once()
-
- def test_stdin_not_tty_stderr_tty(self, capsys: pytest.CaptureFixture[str]) -> None:
- """If stdin is not a TTY (piped), falls through to help."""
- with patch("sys.stdin") as mock_stdin, \
- patch("sys.stderr") as mock_stderr:
- mock_stdin.isatty.return_value = False
- mock_stderr.isatty.return_value = True
- code = main([])
- assert code == 1
-
-
-# -- _quick_classify ------------------------------------------------------
-
-
-class TestQuickClassify:
- """Deterministic fast path for paths, files, and URLs."""
-
- def test_existing_dir_with_factory(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
- result = _quick_classify(str(tmp_path))
- assert result is not None
- assert len(result) == 2
- assert "Improve" in result[0]["label"]
- assert str(tmp_path) in result[0]["command"]
-
- def test_existing_dir_without_factory(self, tmp_path: Path) -> None:
- result = _quick_classify(str(tmp_path))
- assert result is not None
- assert len(result) == 2
- assert "Set up" in result[0]["label"]
-
- def test_existing_file(self, tmp_path: Path) -> None:
- spec = tmp_path / "spec.md"
- spec.write_text("Build a weather CLI")
- result = _quick_classify(str(spec))
- assert result is not None
- assert len(result) == 1
- assert "spec" in result[0]["label"].lower()
- assert str(spec) in result[0]["command"]
-
- def test_github_url(self) -> None:
- url = "https://github.com/user/repo"
- result = _quick_classify(url)
- assert result is not None
- assert len(result) == 2
- assert "Clone" in result[0]["label"]
- assert url in result[0]["command"]
-
- def test_github_ssh_url(self) -> None:
- url = "git@github.com:user/repo.git"
- result = _quick_classify(url)
- assert result is not None
- assert "Clone" in result[0]["label"]
-
- def test_free_text_returns_none(self) -> None:
- result = _quick_classify("build me a weather CLI in Python")
- assert result is None
-
- def test_nonexistent_path_returns_none(self) -> None:
- result = _quick_classify("/nonexistent/path/12345")
- assert result is None
-
- def test_preserves_user_input_verbatim(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
- user_input = str(tmp_path)
- result = _quick_classify(user_input)
- assert result is not None
- for s in result:
- assert user_input in s["command"]
-
- def test_long_input_does_not_crash(self) -> None:
- long_input = "a" * 500
- result = _quick_classify(long_input)
- assert result is None
-
- def test_explicit_mode_in_quick_classify(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
- result = _quick_classify(str(tmp_path))
- assert result is not None
- assert "--mode improve" in result[0]["command"]
-
- def test_explicit_mode_in_cli_ref(self) -> None:
- assert "--mode improve --focus" in _CLI_REF
-
-
-# -- _classify_with_llm ---------------------------------------------------
-
-
-class TestClassifyWithLLM:
- """LLM-based classification with mocked runner."""
-
- def test_valid_json_object_response(self) -> None:
- response = {
- "follow_ups": [
- {"key": "path", "question": "Path to project", "type": "path", "optional": False},
- ],
- "suggestions": [
- {"label": "Fix it", "explanation": "Target the issue.", "command": "factory ceo {path} --focus \"bug\""},
- {"label": "Discuss", "explanation": "Talk first.", "command": "factory ceo {path} --mode design"},
- ],
- }
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("fix a bug in my project")
-
- assert result is not None
- follow_ups, suggestions = result
- assert len(follow_ups) == 1
- assert follow_ups[0]["key"] == "path"
- assert len(suggestions) == 2
- assert suggestions[0]["label"] == "Fix it"
-
- def test_valid_json_no_followups(self) -> None:
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": "Brainstorm first", "explanation": "Refine the idea.", "command": 'factory ceo "weather CLI" --mode design'},
- {"label": "Build directly", "explanation": "Start building.", "command": 'factory ceo "weather CLI"'},
- ],
- }
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("weather CLI")
-
- assert result is not None
- follow_ups, suggestions = result
- assert len(follow_ups) == 0
- assert len(suggestions) == 2
- assert suggestions[0]["label"] == "Brainstorm first"
-
- def test_legacy_json_array_response(self) -> None:
- """Backward compatibility: plain JSON array still works."""
- suggestions = [
- {"label": "Brainstorm first", "explanation": "Refine the idea.", "command": 'factory ceo "weather CLI" --mode design'},
- {"label": "Build directly", "explanation": "Start building.", "command": 'factory ceo "weather CLI"'},
- ]
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(suggestions)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("weather CLI")
-
- assert result is not None
- follow_ups, sug = result
- assert len(follow_ups) == 0
- assert len(sug) == 2
-
- def test_json_with_markdown_wrapper(self) -> None:
- raw = '```json\n{"follow_ups": [], "suggestions": [{"label": "Build it", "explanation": "Go.", "command": "factory ceo \\"test\\""}]}\n```'
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(raw))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("test")
-
- assert result is not None
- _, suggestions = result
- assert len(suggestions) == 1
- assert suggestions[0]["label"] == "Build it"
-
- def test_invalid_json_returns_none(self) -> None:
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result("not valid json at all"))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("weather CLI")
-
- assert result is None
-
- def test_runner_failure_returns_none(self) -> None:
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result("Error", 1))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("weather CLI")
-
- assert result is None
-
- def test_runner_not_available_returns_none(self) -> None:
- with patch("factory.runners.get_runner", side_effect=Exception("No runner")):
- result = _classify_with_llm("weather CLI")
-
- assert result is None
-
- def test_empty_suggestions_returns_none(self) -> None:
- response = {"follow_ups": [], "suggestions": []}
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("test idea")
-
- assert result is None
-
- def test_missing_required_fields_returns_none(self) -> None:
- response = {"follow_ups": [], "suggestions": [{"label": "Test"}]} # missing command
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("test idea")
-
- assert result is None
-
- def test_truncates_to_3_suggestions(self) -> None:
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": f"Option {i}", "explanation": "desc", "command": f'factory ceo "x{i}"'}
- for i in range(5)
- ],
- }
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("test")
-
- assert result is not None
- _, suggestions = result
- assert len(suggestions) == 3
-
- def test_wizard_shows_cli_ref_on_llm_failure(self) -> None:
- with patch("builtins.input", side_effect=["test idea"]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=None), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- mock_stderr.write = MagicMock()
- code = _welcome_wizard()
-
- assert code == 1
- output = "".join(call.args[0] for call in mock_stderr.write.call_args_list)
- assert "quick reference" in output.lower() or "factory ceo" in output
-
-
-# -- _show_spinner ---------------------------------------------------------
-
-
-class TestShowSpinner:
- """Spinner respects NO_COLOR and stops cleanly."""
-
- def test_spinner_stops_on_event(self) -> None:
- import threading
- stop = threading.Event()
- stop.set()
- with patch("sys.stderr"):
- _show_spinner(stop)
-
- def test_spinner_respects_no_color(self) -> None:
- import threading
- stop = threading.Event()
- stop.set()
- with patch.dict("os.environ", {"NO_COLOR": "1"}), \
- patch("sys.stderr") as mock_stderr:
- mock_stderr.isatty.return_value = False
- _show_spinner(stop)
-
-
-# -- _ask_follow_ups -------------------------------------------------------
-
-
-class TestAskFollowUps:
- """Follow-up question collection and validation."""
-
- def test_empty_follow_ups_returns_empty_dict(self) -> None:
- result = _ask_follow_ups([], no_color=True)
- assert result == {}
-
- def test_path_follow_up_validates_directory(self, tmp_path: Path) -> None:
- follow_ups = [
- {"key": "path", "question": "Project path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", return_value=str(tmp_path)), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert "path" in result
- assert str(tmp_path.resolve()) in result["path"]
-
- def test_path_follow_up_expands_tilde(self, tmp_path: Path) -> None:
- follow_ups = [
- {"key": "path", "question": "Project path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", return_value=str(tmp_path)), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- # Resolved path should be absolute
- import shlex
- unquoted = shlex.split(result["path"])[0]
- assert Path(unquoted).is_absolute()
-
- def test_path_follow_up_rejects_nonexistent(self) -> None:
- follow_ups = [
- {"key": "path", "question": "Project path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", return_value="/nonexistent/xyz/12345"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_path_follow_up_empty_required_fails(self) -> None:
- follow_ups = [
- {"key": "path", "question": "Project path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", return_value=""), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_path_follow_up_empty_optional_skips(self) -> None:
- follow_ups = [
- {"key": "path", "question": "Project path", "type": "path", "optional": True},
- ]
- with patch("builtins.input", return_value=""), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result == {}
-
- def test_issue_follow_up_numeric(self) -> None:
- follow_ups = [
- {"key": "issue", "question": "Issue number", "type": "issue", "optional": False},
- ]
- with patch("builtins.input", return_value="42"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert result["issue"] == "42"
-
- def test_issue_follow_up_text(self) -> None:
- follow_ups = [
- {"key": "issue", "question": "Issue", "type": "issue", "optional": False},
- ]
- with patch("builtins.input", return_value="fix the login bug"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert result["issue"] == '"fix the login bug"'
-
- def test_issue_follow_up_optional_empty_skips(self) -> None:
- follow_ups = [
- {"key": "issue", "question": "Issue", "type": "issue", "optional": True},
- ]
- with patch("builtins.input", return_value=""), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result == {}
-
- def test_text_follow_up_required(self) -> None:
- follow_ups = [
- {"key": "topic", "question": "Topic", "type": "text", "optional": False},
- ]
- with patch("builtins.input", return_value="auth system"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert result["topic"] == "auth system"
-
- def test_text_follow_up_required_empty_fails(self) -> None:
- follow_ups = [
- {"key": "topic", "question": "Topic", "type": "text", "optional": False},
- ]
- with patch("builtins.input", return_value=""), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_text_follow_up_optional_empty_skips(self) -> None:
- follow_ups = [
- {"key": "topic", "question": "Topic", "type": "text", "optional": True},
- ]
- with patch("builtins.input", return_value=""), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result == {}
-
- def test_choice_follow_up(self) -> None:
- follow_ups = [
- {"key": "mode", "question": "Which mode?", "type": "choice",
- "options": ["design", "build", "research"], "optional": False},
- ]
- with patch("builtins.input", return_value="2"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert result["mode"] == "build"
-
- def test_choice_follow_up_invalid_returns_none(self) -> None:
- follow_ups = [
- {"key": "mode", "question": "Which mode?", "type": "choice",
- "options": ["design", "build"], "optional": False},
- ]
- with patch("builtins.input", return_value="5"), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_eof_during_follow_up_returns_none(self) -> None:
- follow_ups = [
- {"key": "path", "question": "Path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", side_effect=EOFError), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_ctrl_c_during_follow_up_returns_none(self) -> None:
- follow_ups = [
- {"key": "path", "question": "Path", "type": "path", "optional": False},
- ]
- with patch("builtins.input", side_effect=KeyboardInterrupt), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is None
-
- def test_multiple_follow_ups(self, tmp_path: Path) -> None:
- follow_ups = [
- {"key": "path", "question": "Path", "type": "path", "optional": False},
- {"key": "issue", "question": "Issue", "type": "issue", "optional": True},
- ]
- with patch("builtins.input", side_effect=[str(tmp_path), "42"]), \
- patch("sys.stderr"):
- result = _ask_follow_ups(follow_ups, no_color=True)
-
- assert result is not None
- assert "path" in result
- assert result["issue"] == "42"
-
-
-# -- _substitute_answers ---------------------------------------------------
-
-
-class TestSubstituteAnswers:
- """Placeholder substitution and suggestion filtering."""
-
- def test_substitutes_all_keys(self) -> None:
- suggestions = [
- {"label": "Fix", "command": "factory ceo {path} --focus {issue}"},
- ]
- answers = {"path": "/tmp/proj", "issue": "42"}
- result = _substitute_answers(suggestions, answers)
- assert len(result) == 1
- assert result[0]["command"] == "factory ceo /tmp/proj --focus 42"
-
- def test_drops_suggestion_with_unfilled_placeholder(self) -> None:
- suggestions = [
- {"label": "Fix", "command": "factory ceo {path} --focus {issue}"},
- {"label": "Discuss", "command": "factory ceo {path} --mode design"},
- ]
- answers = {"path": "/tmp/proj"} # no issue
- result = _substitute_answers(suggestions, answers)
- assert len(result) == 1
- assert result[0]["label"] == "Discuss"
- assert result[0]["command"] == "factory ceo /tmp/proj --mode design"
-
- def test_keeps_suggestion_without_placeholders(self) -> None:
- suggestions = [
- {"label": "Build", "command": 'factory ceo "my idea" --mode design'},
- ]
- answers = {}
- result = _substitute_answers(suggestions, answers)
- assert len(result) == 1
- assert result[0]["command"] == 'factory ceo "my idea" --mode design'
-
- def test_drops_all_if_no_answers(self) -> None:
- suggestions = [
- {"label": "Fix", "command": "factory ceo {path} --focus {issue}"},
- ]
- answers = {}
- result = _substitute_answers(suggestions, answers)
- assert len(result) == 0
-
- def test_preserves_other_fields(self) -> None:
- suggestions = [
- {"label": "Fix", "explanation": "Target it.", "command": "factory ceo {path}", "tip": "Go!"},
- ]
- answers = {"path": "/tmp/proj"}
- result = _substitute_answers(suggestions, answers)
- assert result[0]["label"] == "Fix"
- assert result[0]["explanation"] == "Target it."
- assert result[0]["tip"] == "Go!"
-
-
-# -- option selection + dispatch -------------------------------------------
-
-
-class TestWizardDispatch:
- """Tests for the full wizard flow: input -> classify -> select -> dispatch."""
-
- def test_selects_default_option(self) -> None:
- llm_result = (
- [],
- [{"label": "Option 1", "explanation": "First.", "command": 'factory ceo "test" --mode design'}],
- )
- with patch("builtins.input", side_effect=["test idea", ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0) as mock_ceo, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
- mock_ceo.assert_called_once()
-
- def test_selects_numbered_option(self) -> None:
- llm_result = (
- [],
- [
- {"label": "Option 1", "explanation": "First.", "command": 'factory ceo "test"'},
- {"label": "Option 2", "explanation": "Second.", "command": 'factory ceo "test" --mode design'},
- ],
- )
- with patch("builtins.input", side_effect=["test idea", "2"]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0) as mock_ceo, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
- mock_ceo.assert_called_once()
- ns = mock_ceo.call_args[0][0]
- assert ns.mode == "design"
-
- def test_invalid_choice_returns_error(self) -> None:
- llm_result = (
- [],
- [{"label": "Option 1", "explanation": "First.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["test idea", "abc"]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 1
-
- def test_out_of_range_choice_returns_error(self) -> None:
- llm_result = (
- [],
- [{"label": "Option 1", "explanation": "First.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["test idea", "5"]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 1
-
- def test_fast_path_skips_llm(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
- with patch("builtins.input", side_effect=[str(tmp_path), ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli.cmd_ceo", return_value=0), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_follow_up_path_fills_command(self, tmp_path: Path) -> None:
- """Follow-up for {path} asks user and substitutes into commands."""
- llm_result = (
- [{"key": "path", "question": "Path to project", "type": "path", "optional": False}],
- [
- {"label": "Fix it", "explanation": "Go.", "command": 'factory ceo {path} --focus "fix bug"'},
- {"label": "Discuss", "explanation": "Talk.", "command": "factory ceo {path} --mode design"},
- ],
- )
- with patch("builtins.input", side_effect=["fix a bug", str(tmp_path), ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0) as mock_ceo, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
- mock_ceo.assert_called_once()
- ns = mock_ceo.call_args[0][0]
- assert str(tmp_path.resolve()) == ns.path
-
- def test_follow_up_drops_unfilled_suggestions(self, tmp_path: Path) -> None:
- """Suggestions with unfilled placeholders are dropped."""
- llm_result = (
- [
- {"key": "path", "question": "Path", "type": "path", "optional": False},
- {"key": "issue", "question": "Issue", "type": "issue", "optional": True},
- ],
- [
- {"label": "Fix specific", "explanation": "Target.", "command": "factory ceo {path} --focus {issue}"},
- {"label": "Discuss", "explanation": "Talk.", "command": "factory ceo {path} --mode design"},
- ],
- )
- # User provides path but skips optional issue
- with patch("builtins.input", side_effect=["fix a bug", str(tmp_path), "", ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0) as mock_ceo, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
- mock_ceo.assert_called_once()
- # The selected command should be the "Discuss" one (only surviving)
- ns = mock_ceo.call_args[0][0]
- assert ns.mode == "design"
-
- def test_follow_up_eof_exits_cleanly(self) -> None:
- llm_result = (
- [{"key": "path", "question": "Path", "type": "path", "optional": False}],
- [{"label": "Fix", "explanation": "Go.", "command": "factory ceo {path}"}],
- )
- with patch("builtins.input", side_effect=["fix a bug", EOFError]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_all_suggestions_dropped_shows_error(self) -> None:
- """If follow-ups result in all suggestions being dropped, return error."""
- llm_result = (
- [{"key": "path", "question": "Path", "type": "path", "optional": True}],
- [
- {"label": "Fix", "explanation": "Go.", "command": "factory ceo {path} --focus 42"},
- ],
- )
- # User skips optional path, but it's the only suggestion and it has {path}
- with patch("builtins.input", side_effect=["fix a bug", ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- mock_stderr.write = MagicMock()
- code = _welcome_wizard()
-
- assert code == 1
-
-
-# -- edge cases ------------------------------------------------------------
-
-
-class TestWizardEdgeCases:
- """Empty input, EOF, Ctrl+C."""
-
- def test_empty_input_shows_examples_then_exits(self) -> None:
- with patch("builtins.input", side_effect=["", ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_empty_then_valid_input(self) -> None:
- llm_result = (
- [],
- [{"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["", "test idea", ""]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0) as mock_ceo, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
- mock_ceo.assert_called_once()
-
- def test_eof_on_first_prompt(self) -> None:
- with patch("builtins.input", side_effect=EOFError), \
- patch("sys.stderr") as mock_stderr, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_eof_on_choice_prompt(self) -> None:
- llm_result = (
- [],
- [{"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["test", EOFError]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_ctrl_c_on_first_prompt(self) -> None:
- with patch("builtins.input", side_effect=KeyboardInterrupt), \
- patch("sys.stderr") as mock_stderr, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 130
-
- def test_ctrl_c_on_choice_prompt(self) -> None:
- llm_result = (
- [],
- [{"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["test", KeyboardInterrupt]), \
- patch("sys.stderr") as mock_stderr, \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 130
-
- def test_eof_on_second_prompt_after_empty(self) -> None:
- with patch("builtins.input", side_effect=["", EOFError]), \
- patch("sys.stderr") as mock_stderr, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 0
-
- def test_ctrl_c_on_second_prompt_after_empty(self) -> None:
- with patch("builtins.input", side_effect=["", KeyboardInterrupt]), \
- patch("sys.stderr") as mock_stderr, \
- patch("os.environ", {}):
- mock_stderr.isatty.return_value = True
- code = _welcome_wizard()
-
- assert code == 130
-
-
-# -- NO_COLOR behavior -----------------------------------------------------
-
-
-class TestNOCOLOR:
- """Wizard respects NO_COLOR env var."""
-
- def test_no_color_plain_text(self, capsys: pytest.CaptureFixture[str]) -> None:
- llm_result = (
- [],
- [{"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'}],
- )
- with patch("builtins.input", side_effect=["test", ""]), \
- patch("factory.cli._quick_classify", return_value=None), \
- patch("factory.cli._classify_with_llm", return_value=llm_result), \
- patch("factory.cli.cmd_ceo", return_value=0), \
- patch.dict("os.environ", {"NO_COLOR": "1"}):
- code = _welcome_wizard()
-
- assert code == 0
- captured = capsys.readouterr()
- assert "\033[" not in captured.err
-
-
-# -- regression: existing subcommands -------------------------------------
-
-
-class TestExistingSubcommands:
- """Existing subcommands must work identically."""
-
- def test_home_still_works(self) -> None:
- code = main(["home"])
- assert code == 0
-
- def test_subcommand_not_affected(self) -> None:
- with patch("factory.cli._welcome_wizard") as mock_wizard:
- main(["home"])
- mock_wizard.assert_not_called()
-
-
-# -- banner update ---------------------------------------------------------
-
-
-class TestBannerUpdate:
- def test_banner_tagline(self, capsys: pytest.CaptureFixture[str]) -> None:
- from factory.cli import _print_banner
-
- with patch("sys.stderr") as mock_stderr, \
- patch.dict("os.environ", {"NO_COLOR": "1"}):
- mock_stderr.isatty.return_value = False
- _print_banner("welcome")
-
- # The no-color branch prints the tagline without mode for welcome
- mock_stderr.write.assert_any_call("The Factory — Self-Evolving Meta-Harness")
-
-
-# -- wizard file LLM classification ----------------------------------------
-
-
-class TestClassifyWithLLMWizardFile:
- """_classify_with_llm reads wizard file content instead of passing the path."""
-
- def test_wizard_file_prompt_contains_file_content(self, tmp_path, monkeypatch):
- """When input is wizard_input.md, the LLM prompt contains the file's content."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
- wizard_file.parent.mkdir(parents=True)
- idea_text = "Build a distributed key-value store with Raft consensus"
- wizard_file.write_text(idea_text)
-
- captured_prompt = {}
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": "Build it", "explanation": "Go.", "command": f'factory ceo {str(wizard_file)} --mode build'},
- ],
- }
- mock_runner = MagicMock()
-
- async def capture_headless(request):
- captured_prompt["value"] = request.prompt
- return _mock_run_result(json.dumps(response))
-
- mock_runner.headless = capture_headless
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm(str(wizard_file))
-
- assert result is not None
- assert idea_text in captured_prompt["value"]
- assert "wizard_input.md" not in captured_prompt["value"].split("Note:")[0]
-
- def test_wizard_file_prompt_injects_path_note(self, tmp_path, monkeypatch):
- """The LLM prompt tells it to use the file path in generated commands."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
- wizard_file = fake_home / ".factory" / "wizard_input.md"
- wizard_file.parent.mkdir(parents=True)
- wizard_file.write_text("some idea")
-
- captured_prompt = {}
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'},
- ],
- }
- mock_runner = MagicMock()
-
- async def capture_headless(request):
- captured_prompt["value"] = request.prompt
- return _mock_run_result(json.dumps(response))
-
- mock_runner.headless = capture_headless
-
- wizard_path_str = str(wizard_file)
- with patch("factory.runners.get_runner", return_value=mock_runner):
- _classify_with_llm(wizard_path_str)
-
- assert "Use this file path" in captured_prompt["value"]
-
- def test_wizard_file_missing_falls_back_gracefully(self, tmp_path, monkeypatch):
- """If wizard_input.md doesn't exist when _classify_with_llm reads it, falls back."""
- fake_home = tmp_path / "home"
- fake_home.mkdir()
- monkeypatch.setenv("HOME", str(fake_home))
-
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": "Build", "explanation": "Go.", "command": 'factory ceo "test"'},
- ],
- }
- mock_runner = MagicMock()
- mock_runner.headless = AsyncMock(return_value=_mock_run_result(json.dumps(response)))
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- result = _classify_with_llm("~/.factory/wizard_input.md")
-
- assert result is not None
-
- def test_non_wizard_file_uses_input_directly(self):
- """For non-wizard inputs, the prompt just contains the user input string."""
- captured_prompt = {}
- response = {
- "follow_ups": [],
- "suggestions": [
- {"label": "Build", "explanation": "Go.", "command": 'factory ceo "weather CLI"'},
- ],
- }
- mock_runner = MagicMock()
-
- async def capture_headless(request):
- captured_prompt["value"] = request.prompt
- return _mock_run_result(json.dumps(response))
-
- mock_runner.headless = capture_headless
-
- with patch("factory.runners.get_runner", return_value=mock_runner):
- _classify_with_llm("build a weather CLI")
-
- assert "build a weather CLI" in captured_prompt["value"]
- assert "Use this file path" not in captured_prompt["value"]
diff --git a/tests/test_codex_runner.py b/tests/test_codex_runner.py
deleted file mode 100644
index 74760d750..000000000
--- a/tests/test_codex_runner.py
+++ /dev/null
@@ -1,612 +0,0 @@
-"""Tests for factory/runners/codex.py — CodexRunner implementation."""
-
-from pathlib import Path
-from unittest.mock import AsyncMock, patch
-
-import pytest
-
-import factory.runners.codex as codex_module
-from factory.models import AgentRunRequest, AgentRunResult
-from factory.runners import CodexRunner, get_runner, is_codex_dry_run
-from factory.runners.codex import CodexAuthError, _check_auth
-
-
-@pytest.fixture(autouse=True)
-def _reset_codex_auth() -> None:
- codex_module._auth_checked = False
-
-
-class TestGetRunnerCodex:
- def test_explicit_codex(self) -> None:
- runner = get_runner("codex")
- assert runner.name == "codex"
-
- def test_from_env_var(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_RUNNER", "codex")
- runner = get_runner()
- assert runner.name == "codex"
-
- def test_explicit_overrides_env(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_RUNNER", "codex")
- runner = get_runner("claude")
- assert runner.name == "claude"
-
-
-class TestCodexDryRun:
- def test_dry_run_true(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_CODEX_DRY_RUN", "1")
- assert is_codex_dry_run() is True
-
- def test_dry_run_false(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
- assert is_codex_dry_run() is False
-
- def test_dry_run_true_word(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_CODEX_DRY_RUN", "true")
- assert is_codex_dry_run() is True
-
- async def test_headless_dry_run_returns_stub(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("FACTORY_CODEX_DRY_RUN", "1")
-
- runner = CodexRunner()
- result = await runner.headless(
- AgentRunRequest(
- prompt="You are a test agent.",
- task="Say hello",
- cwd=tmp_path,
- role="researcher",
- )
- )
-
- assert result.return_code == 0
- assert "[DRY-RUN]" in result.stdout
- assert "researcher" in result.stdout
- assert result.usage is None
-
- def test_interactive_run_dry_run(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
- ) -> None:
- monkeypatch.setenv("FACTORY_CODEX_DRY_RUN", "1")
-
- runner = CodexRunner()
- code = runner.interactive_run(
- AgentRunRequest(
- prompt="Test prompt",
- task="Test task",
- cwd=tmp_path,
- role="ceo",
- )
- )
-
- assert code == 0
- captured = capsys.readouterr()
- assert "[DRY-RUN]" in captured.out
-
-
-class TestCodexAuth:
- def test_auth_fails_without_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.delenv("CODEX_API_KEY", raising=False)
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- with pytest.raises(CodexAuthError, match="CODEX_API_KEY"):
- _check_auth()
-
- def test_auth_passes_with_codex_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
-
- _check_auth()
- assert codex_module._auth_checked is True
-
- def test_auth_passes_with_openai_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.delenv("CODEX_API_KEY", raising=False)
- monkeypatch.setenv("OPENAI_API_KEY", "test-openai-key")
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- _check_auth()
- assert codex_module._auth_checked is True
-
- def test_auth_prefers_oauth_over_api_key(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("OPENAI_API_KEY", "test-key")
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=True):
- _check_auth()
- assert codex_module._auth_checked is True
-
- async def test_headless_fails_without_key(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("CODEX_API_KEY", raising=False)
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- with pytest.raises(CodexAuthError):
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- )
- )
-
-
-class TestCodexEnvMapping:
- def test_codex_key_mapped_to_openai(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "my-codex-key")
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
-
- from factory.runners.codex import _make_codex_env
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- env, tmpdir = _make_codex_env()
- tmpdir.cleanup()
- assert env["OPENAI_API_KEY"] == "my-codex-key"
- assert "VIRTUAL_ENV" not in env
-
- def test_openai_key_not_overridden_without_oauth(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "codex-key")
- monkeypatch.setenv("OPENAI_API_KEY", "openai-key")
-
- from factory.runners.codex import _make_codex_env
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- env, tmpdir = _make_codex_env()
- tmpdir.cleanup()
- assert env["OPENAI_API_KEY"] == "openai-key"
-
- def test_oauth_strips_api_keys(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("OPENAI_API_KEY", "openai-key")
- monkeypatch.setenv("CODEX_API_KEY", "codex-key")
-
- from factory.runners.codex import _make_codex_env
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=True):
- env, tmpdir = _make_codex_env()
- assert tmpdir is None
- assert "OPENAI_API_KEY" not in env
- assert "CODEX_API_KEY" not in env
-
- def test_virtual_env_stripped(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
-
- from factory.runners.codex import _make_codex_env
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- env, tmpdir = _make_codex_env()
- if tmpdir is not None:
- tmpdir.cleanup()
- assert "VIRTUAL_ENV" not in env
-
-
-class TestCodexHeadless:
- async def test_builds_correct_command(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="output", return_code=0)
-
- result = await runner.headless(
- AgentRunRequest(
- prompt="You are a test agent.",
- task="Say hello",
- cwd=tmp_path,
- timeout=60.0,
- model="gpt-5.4",
- )
- )
-
- assert result.return_code == 0
- assert result.stdout == "output"
- assert result.usage is None
-
- call_args = mock_run.call_args
- cmd = call_args[0][0]
- assert cmd[0] == "codex"
- assert cmd[1] == "exec"
- assert "--ignore-user-config" in cmd
- assert "--sandbox" in cmd
- assert "workspace-write" in cmd
- assert "--ask-for-approval" not in cmd
- assert "--model" in cmd
- assert "gpt-5.4" in cmd
- assert "--skip-git-repo-check" in cmd
- assert "--" in cmd
-
- async def test_combines_prompt_and_task(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="ok", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="You are the CEO.",
- task="Run the experiment",
- cwd=tmp_path,
- )
- )
-
- cmd = mock_run.call_args[0][0]
- dash_idx = cmd.index("--")
- full_prompt = cmd[dash_idx + 1]
- assert "You are the CEO." in full_prompt
- assert "Run the experiment" in full_prompt
- assert "## Current Task" in full_prompt
-
- async def test_no_sandbox_flags_when_permissions_not_skipped(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="ok", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- skip_permissions=False,
- )
- )
-
- cmd = mock_run.call_args[0][0]
- assert "--sandbox" not in cmd
- assert "--ask-for-approval" not in cmd
-
- async def test_no_model_flag_when_none(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="ok", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- model=None,
- )
- )
-
- cmd = mock_run.call_args[0][0]
- assert "--model" not in cmd
-
- async def test_handles_timeout(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="Agent timed out after 0.1s", return_code=1
- )
-
- runner = CodexRunner()
- result = await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- timeout=0.1,
- )
- )
-
- assert result.return_code == 1
- assert "timed out" in result.stdout.lower()
- assert result.usage is None
-
- async def test_handles_missing_binary(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- with patch(
- "factory.runners.codex.run_subprocess",
- new_callable=AsyncMock,
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="Error: 'codex' CLI not found on PATH", return_code=1
- )
-
- runner = CodexRunner()
- result = await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- )
- )
-
- assert result.return_code == 1
- assert "not found" in result.stdout.lower()
- assert result.usage is None
-
- async def test_passes_env_with_openai_key(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="ok", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- )
- )
-
- call_kwargs = mock_run.call_args.kwargs
- assert "VIRTUAL_ENV" not in call_kwargs["env"]
- assert call_kwargs["env"]["OPENAI_API_KEY"] == "test-key"
-
-
-class TestCodexStreaming:
- async def test_uses_streaming_prefix(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
- monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="output\n", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="builder",
- )
- )
-
- mock_run.assert_called_once()
- call_kwargs = mock_run.call_args.kwargs
- assert call_kwargs["runner_name"] == "codex"
- assert call_kwargs["role"] == "builder"
-
- async def test_codex_runner_does_not_sanitize(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """CodexRunner.headless() does not sanitize (default False) — issue #379."""
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
- monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
-
- runner = CodexRunner()
-
- with patch(
- "factory.runners.codex.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(stdout="output\n", return_code=0)
-
- await runner.headless(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="builder",
- )
- )
-
- mock_run.assert_called_once()
- # run_subprocess defaults sanitize=False; CodexRunner does not pass it
- assert mock_run.call_args.kwargs.get("sanitize", False) is False
-
-
-class TestCodexBuildInteractiveCommand:
- """Tests for CodexRunner.build_interactive_command()."""
-
- def test_base_command_structure(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- cmd, env, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- model="gpt-5.4",
- skip_permissions=True,
- ))
-
- assert cmd[0] == "codex"
- full_prompt = cmd[1]
- assert "You are the CEO." in full_prompt
- assert "Start session" in full_prompt
- assert "## Current Task" in full_prompt
- assert "exec" not in cmd
- assert "--" not in cmd
- assert "--skip-git-repo-check" not in cmd
- assert "--ignore-user-config" in cmd
- assert "--full-auto" in cmd
- assert "--model" in cmd
- assert "gpt-5.4" in cmd
- assert temp_files == []
- assert "VIRTUAL_ENV" not in env
-
- if hasattr(runner, "_tmpdir") and runner._tmpdir is not None:
- runner._tmpdir.cleanup()
-
- def test_no_permission_flags_without_skip(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, skip_permissions=False,
- ))
-
- assert "--full-auto" not in cmd
- assert "--sandbox" not in cmd
-
- if hasattr(runner, "_tmpdir") and runner._tmpdir is not None:
- runner._tmpdir.cleanup()
-
- def test_no_model_flag_when_none(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, model=None,
- ))
-
- assert "--model" not in cmd
-
- if hasattr(runner, "_tmpdir") and runner._tmpdir is not None:
- runner._tmpdir.cleanup()
-
- def test_env_from_make_codex_env(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- _, env, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
-
- assert "VIRTUAL_ENV" not in env
- assert env["OPENAI_API_KEY"] == "test-key"
-
- if hasattr(runner, "_tmpdir") and runner._tmpdir is not None:
- runner._tmpdir.cleanup()
-
-
-class TestCodexInteractive:
- def test_interactive_run_builds_correct_command(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch("subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- code = runner.interactive_run(
- AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- model="gpt-5.4",
- skip_permissions=True,
- )
- )
-
- assert code == 0
- cmd = mock_run.call_args[0][0]
- assert cmd[0] == "codex"
- assert "--ignore-user-config" in cmd
- assert "--full-auto" in cmd
- assert "--model" in cmd
- assert "gpt-5.4" in cmd
-
- def test_interactive_run_no_sandbox_without_skip(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch("subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- runner.interactive_run(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- skip_permissions=False,
- )
- )
-
- cmd = mock_run.call_args[0][0]
- assert "--full-auto" not in cmd
-
- def test_interactive_run_passes_env(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.setenv("CODEX_API_KEY", "test-key")
- monkeypatch.delenv("OPENAI_API_KEY", raising=False)
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
- monkeypatch.delenv("FACTORY_CODEX_DRY_RUN", raising=False)
-
- runner = CodexRunner()
-
- with patch("factory.runners.codex._has_codex_oauth", return_value=False):
- with patch("subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- runner.interactive_run(
- AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- )
- )
-
- call_kwargs = mock_run.call_args.kwargs
- assert "VIRTUAL_ENV" not in call_kwargs["env"]
- assert call_kwargs["env"]["OPENAI_API_KEY"] == "test-key"
diff --git a/tests/test_conflict_detector.py b/tests/test_conflict_detector.py
new file mode 100644
index 000000000..e03bfa002
--- /dev/null
+++ b/tests/test_conflict_detector.py
@@ -0,0 +1,297 @@
+"""Tests for scripts/conflict_detector.py — standalone PR conflict detector."""
+
+from __future__ import annotations
+
+import json
+import subprocess
+import sys
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "scripts"))
+import conflict_detector
+
+
+def _make_run_mock(pr_json: str = "[]", merge_results: dict[str, tuple[int, str]] | None = None):
+ """Build a side_effect for subprocess.run that fakes gh + git merge-tree."""
+ if merge_results is None:
+ merge_results = {}
+
+ def _side_effect(cmd: list[str], **_kwargs: object) -> subprocess.CompletedProcess[str]:
+ if cmd[:3] == ["gh", "pr", "list"]:
+ return subprocess.CompletedProcess(cmd, 0, stdout=pr_json, stderr="")
+ if cmd[:2] == ["git", "merge-tree"]:
+ branch = cmd[-1]
+ if branch in merge_results:
+ rc, stdout = merge_results[branch]
+ return subprocess.CompletedProcess(cmd, rc, stdout=stdout, stderr="")
+ return subprocess.CompletedProcess(cmd, 0, stdout="", stderr="")
+ return subprocess.CompletedProcess(cmd, 0, stdout="", stderr="")
+
+ return _side_effect
+
+
+class TestDetect:
+ def test_no_open_prs(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(conflict_detector, "_run", side_effect=_make_run_mock("[]")):
+ rc = conflict_detector.main(["detect", "--data-file", str(data_file)])
+ assert rc == 0
+ assert not data_file.exists()
+
+ def test_clean_merge(self, tmp_path: Path) -> None:
+ prs = json.dumps([
+ {"number": 1, "headRefName": "feat/a", "isDraft": False},
+ {"number": 2, "headRefName": "feat/b", "isDraft": False},
+ ])
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(conflict_detector, "_run", side_effect=_make_run_mock(prs)):
+ rc = conflict_detector.main(["detect", "--data-file", str(data_file)])
+ assert rc == 0
+ assert not data_file.exists()
+
+ def test_conflict_detected(self, tmp_path: Path) -> None:
+ prs = json.dumps([
+ {"number": 42, "headRefName": "feat/x", "isDraft": False},
+ ])
+ merge_output = (
+ "abc123\n"
+ "CONFLICT (content): Merge conflict in src/config.py\n"
+ "CONFLICT (content): Merge conflict in README.md\n"
+ )
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(
+ conflict_detector,
+ "_run",
+ side_effect=_make_run_mock(prs, {"origin/feat/x": (1, merge_output)}),
+ ):
+ rc = conflict_detector.main(["detect", "--data-file", str(data_file)])
+ assert rc == 1
+ assert data_file.exists()
+ events = [json.loads(line) for line in data_file.read_text().splitlines()]
+ assert len(events) == 1
+ assert events[0]["pr_number"] == 42
+ assert events[0]["conflict_files"] == ["src/config.py", "README.md"]
+ assert events[0]["total_open_prs"] == 1
+
+ def test_draft_prs_skipped(self, tmp_path: Path) -> None:
+ prs = json.dumps([
+ {"number": 10, "headRefName": "draft/wip", "isDraft": True},
+ {"number": 11, "headRefName": "feat/ready", "isDraft": False},
+ ])
+ merge_output = "CONFLICT (content): Merge conflict in main.py\n"
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(
+ conflict_detector,
+ "_run",
+ side_effect=_make_run_mock(prs, {"origin/draft/wip": (1, merge_output)}),
+ ):
+ rc = conflict_detector.main(["detect", "--data-file", str(data_file)])
+ assert rc == 0
+ assert not data_file.exists()
+
+ def test_include_drafts(self, tmp_path: Path) -> None:
+ prs = json.dumps([
+ {"number": 10, "headRefName": "draft/wip", "isDraft": True},
+ ])
+ merge_output = "CONFLICT (content): Merge conflict in main.py\n"
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(
+ conflict_detector,
+ "_run",
+ side_effect=_make_run_mock(prs, {"origin/draft/wip": (1, merge_output)}),
+ ):
+ rc = conflict_detector.main(["detect", "--include-drafts", "--data-file", str(data_file)])
+ assert rc == 1
+ events = [json.loads(line) for line in data_file.read_text().splitlines()]
+ assert len(events) == 1
+ assert events[0]["pr_number"] == 10
+
+ def test_delete_modify_conflict(self, tmp_path: Path) -> None:
+ prs = json.dumps([{"number": 5, "headRefName": "feat/del", "isDraft": False}])
+ merge_output = "CONFLICT (modify/delete): old.py deleted in HEAD and modified in origin/feat/del\n"
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(
+ conflict_detector,
+ "_run",
+ side_effect=_make_run_mock(prs, {"origin/feat/del": (1, merge_output)}),
+ ):
+ rc = conflict_detector.main(["detect", "--data-file", str(data_file)])
+ assert rc == 1
+ events = [json.loads(line) for line in data_file.read_text().splitlines()]
+ assert events[0]["conflict_files"] == ["old.py"]
+
+
+class TestReport:
+ def test_jsonl_roundtrip(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "conflicts.jsonl"
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": now, "pr_number": 1, "pr_branch": "feat/a", "conflict_files": ["x.py"], "total_open_prs": 5},
+ {"timestamp": now, "pr_number": 2, "pr_branch": "feat/b", "conflict_files": ["x.py", "y.py"], "total_open_prs": 5},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+ readback = [json.loads(line) for line in data_file.read_text().splitlines()]
+ assert len(readback) == 2
+ assert readback[0]["pr_number"] == 1
+ assert readback[1]["conflict_files"] == ["x.py", "y.py"]
+
+ def test_report_date_filter(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "conflicts.jsonl"
+ old_ts = (datetime.now(timezone.utc) - timedelta(days=60)).strftime("%Y-%m-%dT%H:%M:%SZ")
+ recent_ts = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": old_ts, "pr_number": 1, "pr_branch": "old", "conflict_files": ["old.py"], "total_open_prs": 1},
+ {"timestamp": recent_ts, "pr_number": 2, "pr_branch": "new", "conflict_files": ["new.py"], "total_open_prs": 1},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+ with patch.object(conflict_detector, "_run"):
+ rc = conflict_detector.main(["report", "--days", "30", "--data-file", str(data_file)])
+ assert rc == 0
+
+ def test_hotspot_ranking(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "conflicts.jsonl"
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": now, "pr_number": 1, "pr_branch": "a", "conflict_files": ["hot.py", "cold.py"], "total_open_prs": 3},
+ {"timestamp": now, "pr_number": 2, "pr_branch": "b", "conflict_files": ["hot.py"], "total_open_prs": 3},
+ {"timestamp": now, "pr_number": 3, "pr_branch": "c", "conflict_files": ["hot.py"], "total_open_prs": 3},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+ with patch.object(conflict_detector, "_run"):
+ rc = conflict_detector.main(["report", "--data-file", str(data_file)])
+ assert rc == 0
+
+ def test_no_data_file(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "nonexistent.jsonl"
+ rc = conflict_detector.main(["report", "--data-file", str(data_file)])
+ assert rc == 0
+
+ def test_empty_data_file(self, tmp_path: Path) -> None:
+ data_file = tmp_path / "conflicts.jsonl"
+ data_file.write_text("")
+ rc = conflict_detector.main(["report", "--data-file", str(data_file)])
+ assert rc == 0
+
+ def test_issue_flag_success(self, tmp_path: Path) -> None:
+ """Test --issue flag posts report to GitHub issue (success path)."""
+ data_file = tmp_path / "conflicts.jsonl"
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": now, "pr_number": 1, "pr_branch": "feat/a", "conflict_files": ["x.py"], "total_open_prs": 1},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+
+ # Mock _run to capture gh issue comment call
+ def _mock_run(cmd: list[str], **_kwargs: object) -> subprocess.CompletedProcess[str]:
+ if cmd[:3] == ["gh", "issue", "comment"]:
+ assert cmd[3] == "42"
+ assert cmd[4] == "--body"
+ assert "Conflict Hotspots" in cmd[5]
+ return subprocess.CompletedProcess(cmd, 0, stdout="", stderr="")
+ return subprocess.CompletedProcess(cmd, 0, stdout="", stderr="")
+
+ with patch.object(conflict_detector, "_run", side_effect=_mock_run):
+ rc = conflict_detector.main(["report", "--data-file", str(data_file), "--issue", "42"])
+ assert rc == 0
+
+ def test_issue_flag_failure(self, tmp_path: Path) -> None:
+ """Test --issue flag handles gh CLI failure (error path)."""
+ data_file = tmp_path / "conflicts.jsonl"
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": now, "pr_number": 1, "pr_branch": "feat/a", "conflict_files": ["x.py"], "total_open_prs": 1},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+
+ # Mock _run to simulate gh CLI failure
+ def _mock_run(cmd: list[str], **_kwargs: object) -> subprocess.CompletedProcess[str]:
+ if cmd[:3] == ["gh", "issue", "comment"]:
+ return subprocess.CompletedProcess(cmd, 1, stdout="", stderr="API error: issue not found")
+ return subprocess.CompletedProcess(cmd, 0, stdout="", stderr="")
+
+ with patch.object(conflict_detector, "_run", side_effect=_mock_run):
+ rc = conflict_detector.main(["report", "--data-file", str(data_file), "--issue", "999"])
+ assert rc == 1
+
+
+class TestSummary:
+ def test_summary_no_conflicts(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ """Summary shows green checkmark when no conflicts exist."""
+ prs = json.dumps([
+ {"number": 1, "headRefName": "feat/a", "isDraft": False},
+ {"number": 2, "headRefName": "feat/b", "isDraft": False},
+ ])
+ data_file = tmp_path / "conflicts.jsonl"
+ with patch.object(conflict_detector, "_run", side_effect=_make_run_mock(prs)):
+ rc = conflict_detector.main(["summary", "--data-file", str(data_file)])
+ assert rc == 0
+ captured = capsys.readouterr()
+ assert "✅" in captured.out
+ assert "No conflicts detected" in captured.out
+
+ def test_summary_with_conflicts(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ """Summary contains Mermaid chart and hotspot table when conflicts exist."""
+ prs = json.dumps([
+ {"number": 42, "headRefName": "feat/x", "isDraft": False},
+ ])
+ merge_output = "CONFLICT (content): Merge conflict in src/config.py\n"
+ data_file = tmp_path / "conflicts.jsonl"
+
+ # Write historical data
+ now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+ events = [
+ {"timestamp": now, "pr_number": 42, "pr_branch": "feat/x", "conflict_files": ["src/config.py", "README.md"], "total_open_prs": 1},
+ {"timestamp": now, "pr_number": 43, "pr_branch": "feat/y", "conflict_files": ["src/config.py"], "total_open_prs": 2},
+ ]
+ with open(data_file, "w") as f:
+ for ev in events:
+ f.write(json.dumps(ev) + "\n")
+
+ with patch.object(
+ conflict_detector,
+ "_run",
+ side_effect=_make_run_mock(prs, {"origin/feat/x": (1, merge_output)}),
+ ):
+ rc = conflict_detector.main(["summary", "--data-file", str(data_file)])
+ assert rc == 0
+ captured = capsys.readouterr()
+ assert "```mermaid" in captured.out
+ assert "xychart-beta" in captured.out
+ assert "Hotspot Files" in captured.out
+ assert "Currently Conflicting PRs" in captured.out
+ assert "#42" in captured.out
+ assert "src/config.py" in captured.out
+
+ def test_summary_no_data_file(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ """Summary handles missing data file gracefully."""
+ prs = json.dumps([
+ {"number": 1, "headRefName": "feat/a", "isDraft": False},
+ ])
+ data_file = tmp_path / "nonexistent.jsonl"
+ with patch.object(conflict_detector, "_run", side_effect=_make_run_mock(prs)):
+ rc = conflict_detector.main(["summary", "--data-file", str(data_file)])
+ assert rc == 0
+ captured = capsys.readouterr()
+ assert "✅" in captured.out or "Checked:" in captured.out
+
+
+class TestCLI:
+ def test_no_command_shows_help(self, capsys: pytest.CaptureFixture[str]) -> None:
+ rc = conflict_detector.main([])
+ assert rc == 2
+ captured = capsys.readouterr()
+ assert "usage" in captured.out.lower() or "detect" in captured.out.lower()
diff --git a/tests/test_contained.py b/tests/test_contained.py
new file mode 100644
index 000000000..542f7bf9b
--- /dev/null
+++ b/tests/test_contained.py
@@ -0,0 +1,687 @@
+"""`factory contained` — command surface, path translation, plan composition, dry run."""
+
+from __future__ import annotations
+
+import argparse
+import os
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.cli import contained as cli
+from factory.cli import contained_args
+from factory.cli import contained_local
+from factory.contained.credentials import (
+ CredentialShape,
+ resolve_credentials,
+ vertex_model_warning,
+)
+from factory.contained.env import CONTAINED_ENV_POLICY, redact_argv
+from factory.contained.errors import ContainedError
+from factory.contained.identity import Identity
+from factory.contained.paths import rewrite_argv
+from factory.podman import (
+ CONTAINER_HOME,
+ LABEL_CONTAINED,
+ LABEL_PROJECT,
+ ContainerPlan,
+ Mount,
+ build_attach_argv,
+ build_create_argv,
+ build_ps_argv,
+ build_tmux_launch,
+ container_name,
+ dry_run_enabled,
+ plan_steps,
+)
+
+
+def parse(argv: list[str]) -> argparse.Namespace:
+ """Parse a `factory contained ...` command line the way the real CLI does."""
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ return parser.parse_args(["contained", *argv])
+
+
+def interpret(argv: list[str]) -> argparse.Namespace:
+ args = parse(argv)
+ cli.interpret(cli._PARSER, args)
+ return args
+
+
+# --------------------------------------------------------------------------------------------
+# Command surface
+# --------------------------------------------------------------------------------------------
+
+
+def test_payload_after_separator_is_verbatim() -> None:
+ args = interpret(["--", "ceo", "/tmp/p", "--focus", "container image", "--loop"])
+ assert args.subcommand is None
+ assert args.factory_args == ["ceo", "/tmp/p", "--focus", "container image", "--loop"]
+
+
+def test_payload_flags_are_not_parsed_as_runtime_flags() -> None:
+ """A flag the host also defines must not be stolen from the payload."""
+ args = interpret(["--", "ceo", "/tmp/p", "--name", "inner-name"])
+ assert args.name is None
+ assert args.factory_args == ["ceo", "/tmp/p", "--name", "inner-name"]
+
+
+def test_explicit_name_survives_a_payload_run() -> None:
+ args = interpret(["--name", "chosen", "--", "study", "/tmp/p"])
+ assert args.name == "chosen"
+
+
+def test_lifecycle_subcommand_takes_a_positional_name() -> None:
+ args = interpret(["rm", "rta-abc123"])
+ assert (args.subcommand, args.name) == ("rm", "rta-abc123")
+
+
+def test_trailing_yes_reaches_the_namespace() -> None:
+ args = interpret(["rm", "rta-abc123", "--yes"])
+ assert args.yes is True
+
+
+def test_flag_after_lifecycle_subcommand_is_an_error_not_a_name() -> None:
+ with pytest.raises(SystemExit):
+ interpret(["ls", "--target", "k8s"])
+
+
+def test_local_only_flag_against_k8s_fails_at_parse_time() -> None:
+ with pytest.raises(SystemExit):
+ interpret(["--target", "k8s", "--mount", "/tmp", "--", "study", "/tmp/p"])
+
+
+def test_k8s_only_flag_against_local_fails_at_parse_time() -> None:
+ with pytest.raises(SystemExit):
+ interpret(["--namespace", "factory", "--", "study", "/tmp/p"])
+
+
+def test_lifecycle_command_needing_a_name_says_so() -> None:
+ with pytest.raises(SystemExit):
+ interpret(["attach"])
+
+
+def test_empty_invocation_names_an_example() -> None:
+ with pytest.raises(SystemExit):
+ interpret([])
+
+
+def test_help_is_a_subcommand_not_a_project_path() -> None:
+ """`factory contained help` reads the manual; it does not look for a directory called 'help'."""
+ args = interpret(["help"])
+ assert (args.subcommand, args.factory_args) == ("help", [])
+
+
+def test_help_prints_the_same_text_as_the_flag(capsys: pytest.CaptureFixture[str]) -> None:
+ assert cli.cmd_contained(parse(["help"])) == 0
+ printed = capsys.readouterr().out
+ for expected in ("factory contained [runtime flags]", "Targets:", "Subcommands:"):
+ assert expected in printed
+
+
+def test_help_ignores_a_trailing_word_rather_than_treating_it_as_a_name() -> None:
+ """There is no per-subcommand help, so `help ls` must not imply there is."""
+ args = interpret(["help", "ls"])
+ assert (args.subcommand, args.factory_args) == ("help", [])
+
+
+def test_examples_do_not_name_a_real_repository(capsys: pytest.CaptureFixture[str]) -> None:
+ """A placeholder has to read as one. A real project name reads as a required argument."""
+ with pytest.raises(SystemExit):
+ interpret([])
+ assert "my-project" in capsys.readouterr().err
+
+
+def test_name_is_not_abbreviated_into_namespace() -> None:
+ """`--name` and `--namespace` share a prefix; abbreviation would alias them silently."""
+ with pytest.raises(SystemExit):
+ interpret(["--nam", "x", "--", "study", "/tmp/p"])
+
+
+def test_help_lists_flags_by_target_not_as_a_flat_list() -> None:
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ p = cli.build_contained_parser(sub)
+ text = p.format_help()
+ assert "Both targets:" in text and "Local only:" in text and "K8s only:" in text
+ # The flags appear once — in the tables — not twice.
+ assert text.count("--storage-class") == 1
+
+
+# --------------------------------------------------------------------------------------------
+# Path translation
+# --------------------------------------------------------------------------------------------
+
+
+def test_in_project_path_is_rewritten(tmp_path: Path) -> None:
+ project = tmp_path / "rta"
+ (project / "eval").mkdir(parents=True)
+ argv, changes = rewrite_argv(
+ ["study", str(project), "--out", str(project / "eval")], project, Path("/workspace/rta")
+ )
+ assert argv == ["study", "/workspace/rta", "--out", "/workspace/rta/eval"]
+ assert len(changes) == 2
+
+
+def test_out_of_project_path_is_left_alone(tmp_path: Path) -> None:
+ project = tmp_path / "rta"
+ project.mkdir()
+ other = tmp_path / "elsewhere"
+ other.mkdir()
+ argv, changes = rewrite_argv([str(other)], project, Path("/workspace/rta"))
+ assert argv == [str(other)]
+ assert changes == []
+
+
+def test_non_path_tokens_are_left_alone(tmp_path: Path) -> None:
+ project = tmp_path / "rta"
+ project.mkdir()
+ payload = ["ceo", "--focus", "add a --version flag", "https://example.com", "-v"]
+ argv, changes = rewrite_argv(payload, project, Path("/workspace/rta"))
+ assert argv == payload
+ assert changes == []
+
+
+def test_rewrite_is_a_no_op_when_the_paths_coincide(tmp_path: Path) -> None:
+ """The local target mounts the copy at its own absolute path, so this case is the common one."""
+ project = tmp_path / "rta"
+ project.mkdir()
+ argv, changes = rewrite_argv([str(project)], project, project)
+ assert argv == [str(project)]
+ assert changes == []
+
+
+# --------------------------------------------------------------------------------------------
+# Credential shape and the forwarding policy
+# --------------------------------------------------------------------------------------------
+
+
+def test_api_key_shape_forwards_exactly_one_variable(tmp_path: Path) -> None:
+ shape = resolve_credentials(
+ {"ANTHROPIC_API_KEY": "sk-ant-secret"}, config_path=tmp_path / "absent.toml"
+ )
+ assert shape.backend == "anthropic"
+ assert shape.ok
+ assert shape.env == {"ANTHROPIC_API_KEY": "sk-ant-secret"}
+ assert "sk-ant-secret" not in shape.detail
+
+
+def test_vertex_shape_pins_thinking_tokens_and_mounts_adc(tmp_path: Path) -> None:
+ env = {
+ "CLAUDE_CODE_USE_VERTEX": "1",
+ "CLOUD_ML_REGION": "us-east5",
+ "ANTHROPIC_VERTEX_PROJECT_ID": "some-project",
+ }
+ shape = resolve_credentials(env, config_path=tmp_path / "absent.toml")
+ assert shape.backend == "vertex"
+ assert shape.env["MAX_THINKING_TOKENS"] == "0"
+ assert set(shape.env) >= set(env)
+
+
+def test_missing_inference_reports_a_fix_not_a_crash(tmp_path: Path) -> None:
+ shape = resolve_credentials({}, config_path=tmp_path / "absent.toml")
+ assert not shape.ok
+ assert shape.backend == "none"
+ assert shape.fix
+
+
+def test_credential_profile_in_the_mounted_config_counts_as_configured(tmp_path: Path) -> None:
+ config = tmp_path / "config.toml"
+ config.write_text('[credentials.vertex]\nANTHROPIC_API_KEY = "sk-ant-x"\n')
+ shape = resolve_credentials({}, config_path=config)
+ assert shape.ok
+ assert shape.backend == "profile"
+ assert shape.env == {} # nothing crosses; ~/.factory is mounted
+ assert "sk-ant-x" not in shape.detail
+
+
+def test_vertex_without_an_explicit_model_warns() -> None:
+ shape = CredentialShape(backend="vertex", ok=True, detail="")
+ assert vertex_model_warning(shape, ["ceo", "/tmp/p"]) is not None
+ assert vertex_model_warning(shape, ["ceo", "/tmp/p", "--model", "claude-sonnet-4-5"]) is None
+ assert vertex_model_warning(shape, ["ceo", "/tmp/p", "--model=x"]) is None
+
+
+def test_nothing_unnamed_crosses_the_boundary() -> None:
+ environ = {
+ "FACTORY_MODEL": "claude-sonnet-4-5",
+ "ANTHROPIC_API_KEY": "sk-ant-secret",
+ "OPENAI_API_KEY": "sk-openai",
+ "AWS_SECRET_ACCESS_KEY": "aws",
+ "PATH": "/usr/bin",
+ }
+ crossed = CONTAINED_ENV_POLICY.resolve(environ)
+ assert crossed["FACTORY_MODEL"] == "claude-sonnet-4-5"
+ assert "ANTHROPIC_API_KEY" not in crossed # only via --forward or the resolved shape
+ assert "OPENAI_API_KEY" not in crossed
+ assert "AWS_SECRET_ACCESS_KEY" not in crossed
+ assert "PATH" not in crossed
+ assert crossed["FACTORY_CONTAINED"] == "1"
+
+
+def test_host_only_factory_controls_do_not_cross() -> None:
+ crossed = CONTAINED_ENV_POLICY.resolve(
+ {
+ "FACTORY_CONTAINED_DRY_RUN": "1",
+ "FACTORY_CONTAINED_HOME": "/host/path",
+ "FACTORY_CONTAINED_IMAGE": "ref",
+ "FACTORY_RUNNER": "claude",
+ }
+ )
+ assert crossed == {"FACTORY_CONTAINED": "1", "FACTORY_RUNNER": "claude"}
+
+
+def test_secret_values_are_redacted_in_a_composed_command() -> None:
+ argv = ["podman", "run", "--env", "ANTHROPIC_API_KEY=sk-ant-secret",
+ "--env", "FACTORY_MODEL=claude-sonnet-4-5"]
+ rendered = " ".join(redact_argv(argv, CONTAINED_ENV_POLICY))
+ assert "sk-ant-secret" not in rendered
+ assert "FACTORY_MODEL=claude-sonnet-4-5" in rendered
+
+
+# --------------------------------------------------------------------------------------------
+# Podman command composition
+# --------------------------------------------------------------------------------------------
+
+
+def _plan(tmp_path: Path) -> ContainerPlan:
+ workspace = tmp_path / "rta"
+ workspace.mkdir(exist_ok=True)
+ return ContainerPlan(
+ name="rta-abc123",
+ image="example/runtime:latest",
+ workdir=str(workspace),
+ env={"FACTORY_CONTAINED": "1", "HOME": CONTAINER_HOME},
+ labels={LABEL_CONTAINED: "true", LABEL_PROJECT: "deadbeef"},
+ mounts=(Mount(workspace, str(workspace)),),
+ run_command=f"cd {workspace} && factory study {workspace}",
+ user="501:0",
+ )
+
+
+def test_create_carries_init_labels_mounts_and_identity(tmp_path: Path) -> None:
+ plan = _plan(tmp_path)
+ argv = build_create_argv(plan)
+ assert argv[:4] == ["podman", "run", "-d", "--init"]
+ assert f"{LABEL_CONTAINED}=true" in argv
+ assert plan.mounts[0].as_flag() in argv
+ assert "--user" in argv and "501:0" in argv
+ assert argv[-3:] == ["sh", "-lc", "sleep infinity"]
+
+
+def test_workspace_is_mounted_at_its_own_absolute_path(tmp_path: Path) -> None:
+ """Path-preserving is load-bearing: the local division's builds run outside the container."""
+ plan = _plan(tmp_path)
+ source, target, mode = plan.mounts[0].as_flag().split(":")
+ assert source == target == plan.workdir
+ assert mode == "rw"
+
+
+def test_ps_selects_only_factory_created_containers() -> None:
+ argv = build_ps_argv()
+ assert "--filter" in argv
+ assert f"label={LABEL_CONTAINED}=true" in argv
+ assert "--all" in argv
+
+
+def test_attach_goes_through_tmux_with_a_tty() -> None:
+ argv = build_attach_argv("rta-abc123")
+ assert argv[:2] == ["podman", "exec"]
+ assert "-t" in argv
+ assert argv[-1].endswith("exec tmux attach -t factory")
+
+
+def test_tmux_launch_is_detached_and_survives_the_factory_exiting() -> None:
+ launch = build_tmux_launch("/w", "factory study /w")
+ assert launch.startswith("tmux new-session -d -s factory")
+ assert "exec sh -i" in launch # a failed run stays inspectable
+
+
+def test_plan_steps_are_create_then_assertions_then_run(tmp_path: Path) -> None:
+ from factory.contained.provenance import provenance_probes
+
+ probes = provenance_probes("/w", expect_factory_state=True, expect_git=True, content=None)
+ steps = plan_steps(_plan(tmp_path), probes)
+ assert steps[0].name == "create"
+ assert steps[-1].name == "run"
+ assert [s.name for s in steps[1:-1]] == [f"assert:{p.name}" for p in probes]
+
+
+def test_container_name_keeps_the_hash_when_the_stem_is_long() -> None:
+ from factory.podman import project_hash
+
+ long = Path("/tmp/a-really-quite-long-project-directory-name")
+ name = container_name(long)
+ assert len(name) <= 32
+ # The stem is what gets truncated; the hash is what keeps two same-named projects apart.
+ assert name.endswith(project_hash(long)[:6])
+ assert container_name(Path("/a/rta")) != container_name(Path("/b/rta"))
+
+
+# --------------------------------------------------------------------------------------------
+# Dry run — composes the same argv the real path runs, and provisions nothing
+# --------------------------------------------------------------------------------------------
+
+
+def test_dry_run_flag_is_read_from_the_environment() -> None:
+ assert dry_run_enabled({"FACTORY_CONTAINED_DRY_RUN": "1"})
+ assert dry_run_enabled({"FACTORY_CONTAINED_DRY_RUN": "true"})
+ assert not dry_run_enabled({})
+ assert not dry_run_enabled({"FACTORY_CONTAINED_DRY_RUN": "0"})
+
+
+@pytest.fixture()
+def git_project(tmp_path: Path) -> Path:
+ project = tmp_path / "rta"
+ project.mkdir()
+ (project / "README.md").write_text("# rta\n")
+ subprocess.run(["git", "init", "-q"], cwd=project, check=True)
+ subprocess.run(["git", "add", "-A"], cwd=project, check=True)
+ subprocess.run(
+ ["git", "-c", "user.email=t@e", "-c", "user.name=t", "commit", "-qm", "init"],
+ cwd=project, check=True,
+ )
+ return project
+
+
+def test_dry_run_prints_the_real_steps_and_provisions_nothing(
+ git_project: Path, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ home = tmp_path / "contained-home"
+ with patch.dict(
+ os.environ,
+ {"FACTORY_CONTAINED_DRY_RUN": "1", "FACTORY_CONTAINED_HOME": str(home)},
+ clear=False,
+ ):
+ args = interpret(["--", "study", str(git_project)])
+ code = cli.cmd_contained(args)
+ out = capsys.readouterr().out
+ assert code == 0
+ assert out.startswith("DRY RUN")
+ assert "[create] podman run -d --init" in out
+ assert "[run] podman exec" in out
+ assert "tmux new-session -d -s factory" in out
+ # Nothing was materialized: the workspace copy does not exist.
+ assert not home.exists()
+
+
+def test_dry_run_does_not_leak_a_forwarded_key(
+ git_project: Path, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ home = tmp_path / "contained-home"
+ with patch.dict(
+ os.environ,
+ {
+ "FACTORY_CONTAINED_DRY_RUN": "1",
+ "FACTORY_CONTAINED_HOME": str(home),
+ "GH_TOKEN": "ghp-supersecret",
+ },
+ clear=False,
+ ):
+ args = interpret(["--forward", "GH_TOKEN", "--", "study", str(git_project)])
+ code = cli.cmd_contained(args)
+ out = capsys.readouterr().out
+ assert code == 0
+ assert "ghp-supersecret" not in out
+ assert "GH_TOKEN=<redacted>" in out
+
+
+def test_forwarding_an_unset_variable_fails_before_provisioning(
+ git_project: Path, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ with patch.dict(
+ os.environ,
+ {"FACTORY_CONTAINED_DRY_RUN": "1", "FACTORY_CONTAINED_HOME": str(tmp_path / "h")},
+ clear=False,
+ ):
+ os.environ.pop("DEFINITELY_NOT_SET", None)
+ args = interpret(["--forward", "DEFINITELY_NOT_SET", "--", "study", str(git_project)])
+ code = cli.cmd_contained(args)
+ assert code == 2
+ assert "DEFINITELY_NOT_SET" in capsys.readouterr().err
+
+
+def test_a_payload_naming_no_project_is_rejected() -> None:
+ with pytest.raises(ContainedError):
+ contained_args.resolve_project(["ceo", "--focus", "something"])
+
+
+def test_malformed_env_pair_is_rejected() -> None:
+ with pytest.raises(ContainedError):
+ contained_args.parse_extra_env(["NOT_A_PAIR"])
+ assert contained_args.parse_extra_env(["EMPTY="]) == {"EMPTY": ""}
+
+
+def test_an_unknown_flag_is_rejected_rather_than_ignored() -> None:
+ """A flag that does nothing is worse than no flag: it implies a behaviour that does not exist."""
+ with pytest.raises(SystemExit):
+ interpret(["--live", "--", "study", "/tmp"])
+
+
+def test_identity_is_projected_in_dry_run_without_starting_a_probe(tmp_path: Path) -> None:
+ from factory.contained.identity import resolve_identity
+
+ with patch("factory.contained.identity.subprocess.run") as run:
+ identity = resolve_identity("img", Mount(tmp_path, str(tmp_path)), dry_run=True)
+ run.assert_not_called()
+ assert identity == Identity(
+ user=f"{os.getuid()}:0", userns=None, detail=identity.detail
+ )
+
+
+def test_the_source_git_dir_is_mounted_writable(git_project: Path, tmp_path: Path) -> None:
+ """The copy has to be a valid git *worktree parent*, and that needs a writable common dir.
+
+ The CEO creates experiment worktrees at `<project>/.factory-worktrees/` inside the copy, and
+ `git worktree add` writes a ref lock and a worktree registration into the common dir. Mounted
+ read-only, the first cycle dies on "cannot lock ref ...: Read-only file system" — which reads
+ as a git bug rather than as a mount mode.
+ """
+ home = tmp_path / "contained-home"
+ with patch.dict(
+ os.environ,
+ {"FACTORY_CONTAINED_DRY_RUN": "1", "FACTORY_CONTAINED_HOME": str(home)},
+ clear=False,
+ ):
+ args = interpret(["--", "study", str(git_project)])
+ from factory.contained.workspace import plan_workspace
+
+ ws = plan_workspace(git_project, "rta-test")
+ plan = contained_local._build_plan(args, ws, dry_run=True)
+
+ git_mounts = [m for m in plan.mounts if m.target.endswith(".git")]
+ assert git_mounts, "the source repository's git dir must be mounted"
+ assert not git_mounts[0].read_only
+
+
+def test_the_run_pre_answers_claude_codes_interactive_prompts() -> None:
+ """A contained run has a real terminal that nobody is watching.
+
+ Claude Code asks "do you trust this folder?" and "new MCP server found" only in interactive
+ mode, so headless specialist agents never hit them and the interactive CEO does — and the run
+ then sits at a menu having already spent the tokens it took to get there. Both answers are
+ implied by having launched the run at all.
+ """
+ from factory.podman import build_run_command
+
+ command = build_run_command("/w/rta", "factory study /w/rta",
+ mcp_config={"mcpServers": {"podman": {}}})
+ assert "hasTrustDialogAccepted" in command
+ assert "enabledMcpjsonServers" in command
+ assert "enableAllProjectMcpServers" in command
+ # The factory always runs Claude Code with --dangerously-skip-permissions, and that mode has
+ # its own acceptance dialog.
+ assert "bypassPermissionsModeAccepted" in command
+ # The seeding happens before the factory starts, not after.
+ assert command.index("hasTrustDialogAccepted") < command.index("factory study")
+ # The experiment worktrees the CEO creates live under the workspace and are asked about
+ # separately, so their parent is seeded too.
+ assert ".factory-worktrees" in command
+
+
+def test_seeding_merges_rather_than_clobbers(tmp_path: Path) -> None:
+ """~/.claude may be a mount the user opted into — it is their file, with real history in it."""
+ import json
+ import subprocess
+
+ from factory.contained.claude_state import render_seed_command
+
+ home = tmp_path / "home"
+ home.mkdir()
+ existing = {"projects": {"/other": {"hasTrustDialogAccepted": True}}, "somethingElse": 42}
+ (home / ".claude.json").write_text(json.dumps(existing))
+
+ subprocess.run(
+ ["sh", "-c", render_seed_command("/w/rta", ("podman",))],
+ env={**os.environ, "HOME": str(home)}, check=True,
+ )
+ result = json.loads((home / ".claude.json").read_text())
+ assert result["somethingElse"] == 42
+ assert result["projects"]["/other"]["hasTrustDialogAccepted"] is True
+ assert result["projects"]["/w/rta"]["enabledMcpjsonServers"] == ["podman"]
+
+
+def test_seeding_survives_a_corrupt_state_file(tmp_path: Path) -> None:
+ """A half-written file must not stop a run; the questions it answers are not optional."""
+ import json
+ import subprocess
+
+ from factory.contained.claude_state import render_seed_command
+
+ home = tmp_path / "home"
+ home.mkdir()
+ (home / ".claude.json").write_text("{ not json")
+ subprocess.run(
+ ["sh", "-c", render_seed_command("/w/rta")],
+ env={**os.environ, "HOME": str(home)}, check=True,
+ )
+ assert json.loads((home / ".claude.json").read_text())["hasTrustDialogAccepted"] is True
+
+
+# ---------------------------------------------------------------------------------------------
+# Output is written for the person running the command
+# ---------------------------------------------------------------------------------------------
+
+
+def test_help_names_no_internal_documents() -> None:
+ """A citation the reader cannot follow is worse than no citation."""
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ text = cli.build_contained_parser(sub).format_help()
+ assert "§" not in text
+ assert "spec" not in text.lower()
+
+
+def test_help_explains_the_targets_and_the_subcommands() -> None:
+ """A user reading --help first needs to know what the two targets are *for*, and what they can
+ type; the security comparison is not an orientation."""
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ text = cli.build_contained_parser(sub).format_help()
+ for subcommand in ("setup", "verify", "ls", "attach", "sync", "rm", "bundle"):
+ assert f" {subcommand}" in text, f"--help does not explain `{subcommand}`"
+ assert "--yes" in text
+ assert "FACTORY_CONTAINED_DRY_RUN" in text
+ # It says what contained is not, without jargon or alarm.
+ assert "not a security sandbox" in text
+ assert "SCC" not in text and "egress" not in text
+
+
+def test_provenance_hints_lead_with_the_fix_not_the_rationale() -> None:
+ from factory.contained.provenance import provenance_probes
+
+ for probe in provenance_probes("/w", expect_factory_state=True, expect_git=True,
+ content=("a.txt", "deadbeef")):
+ assert "Try:" in probe.hint or "Most likely" in probe.hint, probe.name
+ # Internal vocabulary a user has no way to interpret.
+ for jargon in ("no_repo", "the CEO", "state detection", "bind mount carries"):
+ assert jargon not in probe.hint, f"{probe.name} explains internals: {jargon}"
+
+
+def test_the_growth_warning_is_silent_for_payloads_that_compute_no_score() -> None:
+ """Warning about score comparability ahead of `backlog-list` trains users to skip warnings."""
+ from factory.podman import growth_context_warning
+
+ assert growth_context_warning({}, ["backlog-list", "/p"]) is None
+ assert growth_context_warning({}, ["ls"]) is None
+ assert growth_context_warning({}, ["ceo", "/p"]) is not None
+ assert growth_context_warning({}, ["run", "/p", "--loop"]) is not None
+
+
+def test_internal_event_names_do_not_print_at_info_level() -> None:
+ """`contained_path_rewritten` is an event identifier, not English."""
+ import subprocess as sp
+
+ source = Path(__file__).resolve().parents[1]
+ result = sp.run(
+ ["grep", "-rn", 'log.info("contained_', str(source / "factory")],
+ capture_output=True, text=True,
+ )
+ assert result.stdout == "", f"internal events still at info level:\n{result.stdout}"
+
+
+def test_bad_arguments_are_caught_before_a_workspace_is_made(
+ git_project: Path, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """Validation that costs nothing must not happen after a copy and a container probe."""
+ home = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(home)}, clear=False):
+ args = interpret(["--env", "NOTAPAIR", "--", "study", str(git_project)])
+ code = cli.cmd_contained(args)
+ assert code == 2
+ assert "not KEY=VALUE" in capsys.readouterr().err
+ assert not home.exists(), "a workspace was created before the arguments were checked"
+
+
+def test_ls_does_not_reach_for_a_cluster_the_user_has_never_used(tmp_path: Path) -> None:
+ """Asking an unreachable cluster costs a multi-second timeout and reports an error about a
+ target someone who chose `local` never asked for."""
+ from factory.contained import lifecycle
+
+ home = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(home)}, clear=False), \
+ patch("factory.contained.lifecycle.local_runtimes", return_value=[]), \
+ patch("factory.contained.k8s.cluster_runtimes") as cluster:
+ runtimes, notes, unconfigured = lifecycle.list_runtimes(None)
+ cluster.assert_not_called()
+ assert unconfigured == ["k8s"]
+ assert notes == []
+ assert runtimes == []
+
+
+def test_ls_does_reach_for_a_cluster_once_it_has_been_used(tmp_path: Path) -> None:
+ from factory.contained import lifecycle
+ from factory.contained.usage import record_target
+
+ home = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(home)}, clear=False):
+ record_target("k8s")
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[]), \
+ patch("factory.contained.k8s.has_cluster_context", return_value=True), \
+ patch("factory.contained.k8s.cluster_runtimes", return_value=[]) as cluster:
+ lifecycle.list_runtimes(None)
+ cluster.assert_called_once()
+
+
+def test_an_explicit_target_is_always_honoured(tmp_path: Path) -> None:
+ """`--target k8s` means ask the cluster, whether or not it has been used before."""
+ from factory.contained import lifecycle
+
+ home = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(home)}, clear=False), \
+ patch("factory.contained.k8s.cluster_runtimes", return_value=[]) as cluster:
+ lifecycle.list_runtimes("k8s")
+ cluster.assert_called_once()
+
+
+def test_listing_the_cluster_cannot_hang() -> None:
+ """kubectl retries internally; without a client deadline an unreachable cluster blocks for
+ minutes at an interactive prompt."""
+ from factory.contained.k8s import LIST_TIMEOUT_SECONDS, build_get_pods_argv
+
+ assert f"--request-timeout={LIST_TIMEOUT_SECONDS}s" in build_get_pods_argv("ns")
+ assert LIST_TIMEOUT_SECONDS <= 15
diff --git a/tests/test_contained_division.py b/tests/test_contained_division.py
new file mode 100644
index 000000000..9ae72d4e2
--- /dev/null
+++ b/tests/test_contained_division.py
@@ -0,0 +1,353 @@
+"""The local container-manufacturing plane: opt-in, reachable, briefed, and shut down."""
+
+from __future__ import annotations
+
+import os
+import subprocess
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from factory.contained import division
+from factory.contained.division import (
+ DIVISION_BRIEF_PATH,
+ DIVISION_PORT,
+ HOST_CANDIDATES,
+ Division,
+ mcp_config,
+ probe_argv,
+ probe_host_alias,
+ server_argv,
+ start_local_division,
+)
+from factory.contained.errors import ContainedError
+from factory.podman import ContainerPlan, Mount, build_run_command
+
+
+@pytest.fixture()
+def contained_root(tmp_path: Path):
+ """Keep the division's PID file and log out of the developer's real ~/.factory-contained."""
+ import os
+
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+def _plan(tmp_path: Path) -> ContainerPlan:
+ workspace = tmp_path / "rta"
+ workspace.mkdir(exist_ok=True)
+ inner = f"factory study {workspace}"
+ return ContainerPlan(
+ name="rta-abc123",
+ image="example/runtime:latest",
+ workdir=str(workspace),
+ env={},
+ labels={},
+ mounts=(Mount(workspace, str(workspace)),),
+ run_command=build_run_command(str(workspace), inner),
+ factory_command=inner,
+ )
+
+
+def _completed(returncode: int = 0) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, "", "")
+
+
+# --------------------------------------------------------------------------------------------
+# The server
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_server_is_started_on_the_division_port() -> None:
+ command = " ".join(server_argv())
+ assert "podman-mcp-server" in command
+ assert f"--port {DIVISION_PORT}" in command
+
+
+def test_stdin_is_held_open_because_the_server_exits_on_eof() -> None:
+ """A naive background spawn leaves nothing listening and writes no error at all.
+
+ The writer has to be something *other* than the launching process, because the server outlives
+ it — hence a pipeline whose head never writes and never exits.
+ """
+ command = " ".join(server_argv())
+ assert command.startswith("sh -c tail -f /dev/null |") or "tail -f /dev/null |" in command
+
+
+def test_the_server_is_detached_into_its_own_process_group(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """It must survive this command and still be stoppable as a unit later."""
+ process = MagicMock()
+ process.poll.return_value = None
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen", return_value=process) as popen, \
+ patch("factory.contained.division.port_in_use", return_value=False), \
+ patch("factory.contained.division.wait_for_listening", return_value=True), \
+ patch("factory.contained.division.probe_host_alias", return_value="host.containers.internal"):
+ start_local_division(_plan(tmp_path))
+ assert popen.call_args.kwargs["start_new_session"] is True
+
+
+def test_missing_npx_fails_before_anything_is_spawned(tmp_path: Path) -> None:
+ with patch("factory.contained.division.shutil.which", return_value=None), \
+ patch("factory.contained.division.subprocess.Popen") as popen:
+ with pytest.raises(ContainedError, match="npx"):
+ start_local_division(_plan(tmp_path))
+ popen.assert_not_called()
+
+
+# --------------------------------------------------------------------------------------------
+# Reachability is probed, never assumed
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_probe_runs_from_inside_a_container_not_from_the_host() -> None:
+ """The host can reach a port the container cannot: on macOS they are different machines."""
+ argv = probe_argv("img", "host.containers.internal")
+ assert argv[:3] == ["podman", "run", "--rm"]
+ assert f"http://host.containers.internal:{DIVISION_PORT}/mcp" in argv
+
+
+def test_candidates_are_tried_in_order_and_the_first_reachable_one_wins() -> None:
+ def fake_run(argv, **kwargs):
+ return _completed(0 if HOST_CANDIDATES[1] in " ".join(argv) else 7)
+
+ with patch("factory.contained.division.subprocess.run", side_effect=fake_run):
+ assert probe_host_alias("img") == HOST_CANDIDATES[1]
+
+
+def test_no_reachable_candidate_stops_the_run_and_stops_the_server(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """An agent given an endpoint it cannot reach fails on its first build with a podman-looking
+ error, several steps from the cause."""
+ process = MagicMock()
+ process.poll.return_value = None
+ process.pid = 4242
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen", return_value=process), \
+ patch("factory.contained.division.port_in_use", return_value=False), \
+ patch("factory.contained.division.wait_for_listening", return_value=True), \
+ patch("factory.contained.division.probe_host_alias", return_value=None), \
+ patch("factory.contained.division._kill_group") as kill:
+ with pytest.raises(ContainedError, match="not reachable"):
+ start_local_division(_plan(tmp_path))
+ kill.assert_called_once_with(4242)
+
+
+# --------------------------------------------------------------------------------------------
+# Registration and brief
+# --------------------------------------------------------------------------------------------
+
+
+def test_registration_is_streamable_http_not_stdio() -> None:
+ config = mcp_config("http://host.containers.internal:8430/mcp")
+ server = config["mcpServers"]["podman"]
+ assert server["type"] == "http"
+ assert server["url"].endswith("/mcp")
+
+
+def test_the_plan_gains_the_registration_and_the_brief(tmp_path: Path, contained_root: Path) -> None:
+ process = MagicMock()
+ process.poll.return_value = None
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen", return_value=process), \
+ patch("factory.contained.division.port_in_use", return_value=False), \
+ patch("factory.contained.division.wait_for_listening", return_value=True), \
+ patch("factory.contained.division.probe_host_alias", return_value="192.168.127.254"):
+ result = start_local_division(_plan(tmp_path))
+ assert ".mcp.json" in result.plan.run_command
+ assert DIVISION_BRIEF_PATH in result.plan.run_command
+ assert "192.168.127.254" in result.plan.run_command
+ # The factory invocation itself is unchanged — the division adds to the run, it does not
+ # rewrite what the run does.
+ assert result.plan.factory_command in result.plan.run_command
+
+
+def test_the_brief_says_this_is_a_capability_not_a_thing_to_build() -> None:
+ """A Refiner given only the tool registration scoped 165 lines of CLI code to wrap them."""
+ brief = division.DIVISION_BRIEF
+ assert "not something to build" in brief
+ assert "Do not write a CLI wrapper" in brief
+ assert "build" in brief and "run" in brief and "logs" in brief.lower()
+ assert "outside this container" in brief
+
+
+# --------------------------------------------------------------------------------------------
+# Warning at start, guaranteed shutdown at exit
+# --------------------------------------------------------------------------------------------
+
+
+def test_launch_warns_that_the_endpoint_is_unauthenticated(
+ tmp_path: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ process = MagicMock()
+ process.poll.return_value = None
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen", return_value=process), \
+ patch("factory.contained.division.port_in_use", return_value=False), \
+ patch("factory.contained.division.wait_for_listening", return_value=True), \
+ patch("factory.contained.division.probe_host_alias", return_value="host.containers.internal"):
+ start_local_division(_plan(tmp_path))
+ err = capsys.readouterr().err
+ # What it exposes, in terms a user can act on: the bind scope, the absence of auth, and a
+ # mitigation — not a citation.
+ assert "no authentication" in err.lower()
+ assert f"0.0.0.0:{DIVISION_PORT}" in err
+ assert "untrusted networks" in err
+ assert "§" not in err
+
+
+def test_stop_signals_the_whole_group_not_just_the_shell(tmp_path: Path) -> None:
+ """The server is half a pipeline; signalling only the shell leaves the other half behind."""
+ process = MagicMock()
+ process.poll.return_value = None
+ process.pid = 4242
+ with patch("factory.contained.division._kill_group") as kill:
+ Division(plan=_plan(tmp_path), endpoint="e", process=process).stop()
+ kill.assert_called_once_with(4242)
+
+
+def test_a_kept_division_records_its_pid_and_rm_stops_it(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ process = MagicMock()
+ process.poll.return_value = None
+ process.pid = 4242
+ plan = _plan(tmp_path)
+ Division(plan=plan, endpoint="e", process=process,
+ pid_file=division.pid_file_for(plan.name)).keep()
+ assert division.pid_file_for(plan.name).read_text() == "4242"
+
+ with patch("factory.contained.division._kill_group") as kill:
+ assert division.stop_recorded(plan.name) is True
+ kill.assert_called_once_with(4242)
+ # The record is cleared, so a second rm reports nothing rather than signalling a reused PID.
+ assert not division.pid_file_for(plan.name).exists()
+ assert division.stop_recorded(plan.name) is False
+
+
+def test_stop_is_safe_when_the_server_already_died(
+ tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ process = MagicMock()
+ process.poll.return_value = 1
+ Division(plan=_plan(tmp_path), endpoint="e", process=process).stop()
+ process.terminate.assert_not_called()
+ assert "already exited" in capsys.readouterr().err
+
+
+def test_dry_run_starts_nothing_and_still_composes_the_registration(tmp_path: Path) -> None:
+ with patch("factory.contained.division.subprocess.Popen") as popen, \
+ patch("factory.contained.division.subprocess.run") as run:
+ result = start_local_division(_plan(tmp_path), dry_run=True)
+ popen.assert_not_called()
+ run.assert_not_called()
+ assert ".mcp.json" in result.plan.run_command
+ result.stop() # a no-op, and must not raise
+
+
+# --------------------------------------------------------------------------------------------
+# The division is genuinely opt-in
+# --------------------------------------------------------------------------------------------
+
+
+def test_without_the_flag_nothing_is_started_and_no_tools_are_registered(
+ tmp_path: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ import argparse
+ import os
+
+ from factory.cli import contained as cli
+
+ project = tmp_path / "plain"
+ project.mkdir()
+ (project / "a.txt").write_text("a\n")
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(["contained", "--", "study", str(project)])
+
+ # Patching `start_local_division` rather than `subprocess.Popen`: the module attribute is the
+ # shared `subprocess` module, so patching Popen there patches it for every other caller in the
+ # process — including the `git rev-parse` this path legitimately runs.
+ with patch.dict(
+ os.environ,
+ {"FACTORY_CONTAINED_DRY_RUN": "1", "FACTORY_CONTAINED_HOME": str(tmp_path / "home")},
+ clear=False,
+ ), patch("factory.contained.division.start_local_division") as start:
+ code = cli.cmd_contained(args)
+ out = capsys.readouterr().out
+ assert code == 0
+ start.assert_not_called()
+ # No registration is *written* — the redirect that creates it, and the payload it would carry.
+ assert "> .mcp.json" not in out
+ assert "mcpServers" not in out
+ assert "8430" not in out
+
+
+def test_a_server_that_never_binds_is_reported_as_that_not_as_unreachable(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """A slow start and a routing fault are different problems with different fixes."""
+ process = MagicMock()
+ process.poll.return_value = None
+ process.pid = 4242
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen", return_value=process), \
+ patch("factory.contained.division.port_in_use", return_value=False), \
+ patch("factory.contained.division.wait_for_listening", return_value=False), \
+ patch("factory.contained.division.probe_host_alias") as probe, \
+ patch("factory.contained.division._kill_group"):
+ with pytest.raises(ContainedError, match="did not start listening"):
+ start_local_division(_plan(tmp_path))
+ probe.assert_not_called()
+
+
+def test_readiness_is_checked_on_the_host_not_from_a_container() -> None:
+ """'Has it bound the port' and 'which address can the container use' are separate questions."""
+ from factory.contained.division import wait_for_listening
+
+ # Nothing is listening on this port, so the call returns False rather than hanging.
+ assert wait_for_listening(1, timeout=0.2) is False
+
+
+def test_a_second_division_refuses_rather_than_adopting_the_first_ones_endpoint(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """Two runs sharing one endpoint means `rm` on either pulls the tools out from under the other."""
+ (contained_root / "first-run").mkdir(parents=True)
+ (contained_root / "first-run" / "division.pid").write_text(str(os.getpid()))
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.subprocess.Popen") as popen:
+ with pytest.raises(ContainedError, match="already held by the run 'first-run'"):
+ start_local_division(_plan(tmp_path))
+ popen.assert_not_called()
+
+
+def test_a_stale_pid_file_does_not_block_a_new_division(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """A run whose server already died must not lock the port forever."""
+ (contained_root / "dead-run").mkdir(parents=True)
+ pid_file = contained_root / "dead-run" / "division.pid"
+ pid_file.write_text("999999") # a PID that cannot exist
+ assert division.port_owner() is None
+ assert not pid_file.exists() # and the stale record is cleaned up
+
+
+def test_an_untracked_listener_on_the_port_stops_the_run(
+ tmp_path: Path, contained_root: Path
+) -> None:
+ """A container removed with `podman rm` instead of `factory contained rm` orphans its endpoint
+ with no PID file, and the ownership check alone would then wave the next run straight into it."""
+ with patch("factory.contained.division.shutil.which", return_value="/usr/bin/npx"), \
+ patch("factory.contained.division.port_owner", return_value=None), \
+ patch("factory.contained.division.port_in_use", return_value=True), \
+ patch("factory.contained.division.subprocess.Popen") as popen:
+ with pytest.raises(ContainedError, match="not a run this factory is tracking"):
+ start_local_division(_plan(tmp_path))
+ popen.assert_not_called()
diff --git a/tests/test_contained_division_lifetime.py b/tests/test_contained_division_lifetime.py
new file mode 100644
index 000000000..3e42db72d
--- /dev/null
+++ b/tests/test_contained_division_lifetime.py
@@ -0,0 +1,275 @@
+"""The division server's lifetime, and the ownership check that keeps two runs off one port.
+
+The endpoint has to outlive the command that started it — the launch returns as soon as the tmux
+session exists, while the run continues for hours — so the process is detached into its own group
+and its PGID is written next to the workspace. Everything here is about that record being correct:
+a lost PGID leaves an unauthenticated build server listening on every interface with nothing
+tracking it, and a *wrong* one means `rm` on one run pulls the tools out from under another.
+
+No process is ever spawned and no socket is ever bound.
+"""
+
+from __future__ import annotations
+
+import os
+import signal
+import subprocess
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from factory.contained.division import (
+ DIVISION_PORT,
+ Division,
+ pid_file_for,
+ port_in_use,
+ port_owner,
+ probe_host_alias,
+ stop_recorded,
+ wait_for_listening,
+)
+
+
+@pytest.fixture()
+def contained_root(tmp_path: Path):
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+def _process(pid: int = 4242, poll: int | None = None) -> MagicMock:
+ process = MagicMock(spec=subprocess.Popen)
+ process.pid = pid
+ process.poll.return_value = poll
+ process.returncode = poll
+ return process
+
+
+# --------------------------------------------------------------------------------------------
+# Recording the server so something can stop it later
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_dry_run_division_records_nothing(contained_root: Path) -> None:
+ """Nothing was started, so a PID file would name a process that does not exist — and `rm`
+ would signal whatever inherited that number."""
+ division = Division(plan=MagicMock(), endpoint="http://h:8430/mcp", process=None)
+ division.keep()
+ assert not contained_root.exists()
+
+
+def test_keeping_writes_the_pid_next_to_the_workspace(contained_root: Path) -> None:
+ pid_file = pid_file_for("rta-abc123")
+ Division(plan=MagicMock(), endpoint="e", process=_process(), pid_file=pid_file).keep()
+ assert pid_file.read_text() == "4242"
+
+
+def test_stopping_a_dry_run_division_is_a_no_op() -> None:
+ Division(plan=MagicMock(), endpoint="e", process=None).stop()
+
+
+def test_stopping_a_server_that_already_exited_says_so_rather_than_signalling(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Signalling a dead PID's number is how an unrelated process gets killed."""
+ process = _process(poll=0)
+ with patch("factory.contained.division.os.killpg") as killpg:
+ Division(plan=MagicMock(), endpoint="e", process=process).stop()
+ killpg.assert_not_called()
+ assert "already exited" in capsys.readouterr().err
+
+
+def test_stopping_signals_the_whole_process_group(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The server is one half of a shell pipeline, so signalling only the shell leaves the other
+ half — and whatever it is feeding — behind."""
+ pid_file = pid_file_for("rta-abc123")
+ pid_file.parent.mkdir(parents=True)
+ pid_file.write_text("4242")
+ process = _process()
+ with (
+ patch("factory.contained.division.os.getpgid", return_value=99),
+ patch("factory.contained.division.os.killpg") as killpg,
+ ):
+ Division(plan=MagicMock(), endpoint="e", process=process, pid_file=pid_file).stop()
+ killpg.assert_called_once_with(99, signal.SIGTERM)
+ assert not pid_file.exists()
+ assert f"nothing is listening on {DIVISION_PORT}" in capsys.readouterr().err
+
+
+def test_a_server_that_ignores_sigterm_is_killed() -> None:
+ process = _process()
+ process.wait.side_effect = subprocess.TimeoutExpired(cmd="npx", timeout=10)
+ with (
+ patch("factory.contained.division.os.getpgid", return_value=99),
+ patch("factory.contained.division.os.killpg"),
+ ):
+ Division(plan=MagicMock(), endpoint="e", process=process).stop()
+ process.kill.assert_called_once()
+
+
+def test_signalling_a_group_that_is_already_gone_is_logged_not_raised() -> None:
+ """Cleanup runs on the failure path; a second exception there buries the first."""
+ process = _process()
+ with patch("factory.contained.division.os.getpgid", side_effect=ProcessLookupError):
+ Division(plan=MagicMock(), endpoint="e", process=process).stop()
+
+
+# --------------------------------------------------------------------------------------------
+# stop_recorded — what `rm` uses
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_run_with_no_recorded_division_stops_nothing(contained_root: Path) -> None:
+ assert stop_recorded("rta-abc123") is False
+
+
+def test_a_recorded_division_is_stopped_and_its_record_removed(contained_root: Path) -> None:
+ pid_file = pid_file_for("rta-abc123")
+ pid_file.parent.mkdir(parents=True)
+ pid_file.write_text("4242")
+ with (
+ patch("factory.contained.division.os.getpgid", return_value=99),
+ patch("factory.contained.division.os.killpg") as killpg,
+ ):
+ assert stop_recorded("rta-abc123") is True
+ killpg.assert_called_once()
+ assert not pid_file.exists()
+
+
+def test_a_corrupt_pid_file_stops_nothing_rather_than_signalling_a_guess(
+ contained_root: Path,
+) -> None:
+ pid_file = pid_file_for("rta-abc123")
+ pid_file.parent.mkdir(parents=True)
+ pid_file.write_text("not a pid")
+ assert stop_recorded("rta-abc123") is False
+
+
+# --------------------------------------------------------------------------------------------
+# port_owner — one port, one server
+# --------------------------------------------------------------------------------------------
+
+
+def test_no_contained_home_means_nobody_owns_the_port(contained_root: Path) -> None:
+ assert port_owner() is None
+
+
+def test_a_live_pid_file_identifies_the_owning_run(contained_root: Path) -> None:
+ """Without this, a second `--division` run finds the port bound, concludes its own server came
+ up, and silently drives the first run's endpoint."""
+ (contained_root / "rta-abc123").mkdir(parents=True)
+ (contained_root / "rta-abc123" / "division.pid").write_text("4242")
+ with patch("factory.contained.division.os.kill"):
+ assert port_owner() == "rta-abc123"
+
+
+def test_a_stale_pid_file_is_cleaned_up_and_ownership_moves_on(contained_root: Path) -> None:
+ (contained_root / "gone").mkdir(parents=True)
+ stale = contained_root / "gone" / "division.pid"
+ stale.write_text("4242")
+ with patch("factory.contained.division.os.kill", side_effect=ProcessLookupError):
+ assert port_owner() is None
+ assert not stale.exists()
+
+
+def test_a_process_owned_by_someone_else_still_counts_as_the_owner(contained_root: Path) -> None:
+ """`PermissionError` from signal 0 means the process exists — which is the question asked."""
+ (contained_root / "rta-abc123").mkdir(parents=True)
+ (contained_root / "rta-abc123" / "division.pid").write_text("4242")
+ with patch("factory.contained.division.os.kill", side_effect=PermissionError):
+ assert port_owner() == "rta-abc123"
+
+
+def test_a_directory_with_no_pid_file_is_skipped(contained_root: Path) -> None:
+ (contained_root / "rta-abc123").mkdir(parents=True)
+ assert port_owner() is None
+
+
+# --------------------------------------------------------------------------------------------
+# The two port probes, which ask opposite questions
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_pre_launch_probe_does_not_wait() -> None:
+ """It runs before anything is started, so blocking would delay every `--division` launch."""
+ socket = MagicMock()
+ socket.__enter__.return_value.connect_ex.return_value = 0
+ with patch("factory.contained.division.socket.socket", return_value=socket):
+ assert port_in_use(DIVISION_PORT) is True
+
+
+def test_nothing_listening_reports_free() -> None:
+ socket = MagicMock()
+ socket.__enter__.return_value.connect_ex.return_value = 61
+ with patch("factory.contained.division.socket.socket", return_value=socket):
+ assert port_in_use(DIVISION_PORT) is False
+
+
+def test_waiting_returns_as_soon_as_the_server_binds() -> None:
+ """`npx` downloads the package before the process exists at all, so the wait has to be real —
+ but it must not add latency once the server is up."""
+ socket = MagicMock()
+ socket.__enter__.return_value.connect_ex.return_value = 0
+ with (
+ patch("factory.contained.division.socket.socket", return_value=socket),
+ patch("factory.contained.division.time.sleep") as sleep,
+ ):
+ assert wait_for_listening(DIVISION_PORT, timeout=5) is True
+ sleep.assert_not_called()
+
+
+def test_waiting_gives_up_at_the_deadline() -> None:
+ socket = MagicMock()
+ socket.__enter__.return_value.connect_ex.return_value = 61
+ with (
+ patch("factory.contained.division.socket.socket", return_value=socket),
+ patch("factory.contained.division.time.sleep"),
+ ):
+ assert wait_for_listening(DIVISION_PORT, timeout=0.01) is False
+
+
+# --------------------------------------------------------------------------------------------
+# probe_host_alias — which name for "the host" a container can actually reach
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_first_reachable_candidate_wins_and_the_rest_are_not_tried() -> None:
+ with patch(
+ "factory.contained.division.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 0, "", ""),
+ ) as run:
+ assert probe_host_alias("img", ("a", "b")) == "a"
+ assert run.call_count == 1
+
+
+def test_an_unreachable_candidate_is_skipped_for_the_next() -> None:
+ """On macOS podman's own name for the host resolves to the VM's gateway rather than to macOS,
+ so the canonical name is routinely the one that fails."""
+ results = [
+ subprocess.CompletedProcess([], 7, "", "connection refused"),
+ subprocess.CompletedProcess([], 0, "", ""),
+ ]
+ with patch("factory.contained.division.subprocess.run", side_effect=results):
+ assert probe_host_alias("img", ("a", "b")) == "b"
+
+
+def test_a_probe_that_cannot_run_is_skipped_rather_than_aborting_the_sweep() -> None:
+ results = [
+ subprocess.TimeoutExpired(cmd="podman", timeout=60),
+ subprocess.CompletedProcess([], 0, "", ""),
+ ]
+ with patch("factory.contained.division.subprocess.run", side_effect=results):
+ assert probe_host_alias("img", ("a", "b")) == "b"
+
+
+def test_no_reachable_candidate_is_a_hard_none() -> None:
+ """An agent given a tool endpoint it cannot reach fails on its first build with a connection
+ error that reads like a podman fault."""
+ with patch(
+ "factory.contained.division.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 7, "", ""),
+ ):
+ assert probe_host_alias("img", ("a", "b")) is None
diff --git a/tests/test_contained_identity.py b/tests/test_contained_identity.py
new file mode 100644
index 000000000..06a6d3dac
--- /dev/null
+++ b/tests/test_contained_identity.py
@@ -0,0 +1,214 @@
+"""Which UID the container runs as — the decision that silently costs an agent its edits.
+
+A bind mount carries ownership through unchanged, so a container whose UID does not own the
+workspace gets a read-only tree and *no error*: the failure surfaces several steps later as an agent
+whose file writes vanished. Every branch here is therefore asserted on the concrete argv or the
+concrete `Identity`, not on "it returned something".
+
+Nothing in this file may reach a real podman. `identity.py` shells out through the module-global
+`subprocess`, so that is what is patched; a leak would show up as a multi-second test.
+"""
+
+from __future__ import annotations
+
+import json
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.identity import (
+ Identity,
+ IdentityError,
+ mount_owner,
+ podman_is_rootless,
+ resolve_identity,
+)
+from factory.podman import Mount
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+@pytest.fixture()
+def mount(tmp_path: Path) -> Mount:
+ workspace = tmp_path / "rta"
+ workspace.mkdir()
+ return Mount(source=workspace, target=str(workspace))
+
+
+def _info(rootless: object) -> str:
+ return json.dumps({"host": {"security": {"rootless": rootless}}})
+
+
+# --------------------------------------------------------------------------------------------
+# Asking podman which mode it is in
+# --------------------------------------------------------------------------------------------
+
+
+def test_rootless_connection_is_reported_as_rootless() -> None:
+ """The answer decides between keep-id and an explicit --user, so a bool must survive intact."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed(_info(True))) as run:
+ assert podman_is_rootless() is True
+ assert run.call_args.args[0] == ["podman", "info", "--format", "json"]
+
+
+def test_rootful_connection_is_reported_as_rootful() -> None:
+ with patch("factory.contained.identity.subprocess.run", return_value=_completed(_info(False))):
+ assert podman_is_rootless() is False
+
+
+def test_a_missing_podman_binary_is_unknown_rather_than_an_exception() -> None:
+ """`podman_is_rootless` is called before anything is provisioned; it must not raise there."""
+ with patch("factory.contained.identity.subprocess.run", side_effect=FileNotFoundError):
+ assert podman_is_rootless() is None
+
+
+def test_an_unreachable_engine_is_unknown_rather_than_rootful() -> None:
+ """`podman info` fails when the machine is stopped. Reading that as "rootful" would send the
+ run down the probe path with a nonzero exit code already in hand."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("", returncode=125)):
+ assert podman_is_rootless() is None
+
+
+def test_output_that_is_not_json_is_unknown() -> None:
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("Cannot connect to Podman")):
+ assert podman_is_rootless() is None
+
+
+def test_a_non_boolean_rootless_field_is_unknown_not_truthy() -> None:
+ """Some podman builds report this as a string. `bool("false")` is True, which would pick
+ keep-id on a rootful connection — where podman rejects it outright."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed(_info("false"))):
+ assert podman_is_rootless() is None
+
+
+def test_info_without_a_security_section_is_unknown() -> None:
+ with patch("factory.contained.identity.subprocess.run", return_value=_completed("{}")):
+ assert podman_is_rootless() is None
+
+
+# --------------------------------------------------------------------------------------------
+# The probe: who owns the mount, as the kernel inside the container sees it
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_probe_mounts_the_workspace_and_stats_it(mount: Mount) -> None:
+ """The probe is the contract — it has to mount the same path the run will and stat *that*."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("1000:1000\n")) as run:
+ assert mount_owner("img:latest", mount) == (1000, 1000)
+ argv = run.call_args.args[0]
+ assert argv[:5] == ["podman", "run", "--rm", "-v", mount.as_flag()]
+ assert argv[-4:] == ["stat", "-c", "%u:%g", mount.target]
+
+
+def test_only_the_last_line_of_the_probe_is_parsed(mount: Mount) -> None:
+ """A cold image pull writes progress to stdout ahead of the answer."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("Trying to pull img:latest...\n0:0\n")):
+ assert mount_owner("img:latest", mount) == (0, 0)
+
+
+def test_a_failed_probe_is_none_rather_than_a_guess(mount: Mount) -> None:
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("", returncode=125, stderr="no such image")):
+ assert mount_owner("img:latest", mount) is None
+
+
+def test_a_probe_that_times_out_is_none(mount: Mount) -> None:
+ """A stopped podman machine hangs rather than failing; 120s later this must still answer."""
+ with patch("factory.contained.identity.subprocess.run",
+ side_effect=subprocess.TimeoutExpired(cmd="podman", timeout=120)):
+ assert mount_owner("img:latest", mount) is None
+
+
+def test_a_probe_that_cannot_start_is_none(mount: Mount) -> None:
+ with patch("factory.contained.identity.subprocess.run", side_effect=PermissionError):
+ assert mount_owner("img:latest", mount) is None
+
+
+def test_probe_output_that_is_not_a_uid_pair_is_none(mount: Mount) -> None:
+ """`stat` on a path the machine does not share prints an error to stdout on some builds."""
+ with patch("factory.contained.identity.subprocess.run",
+ return_value=_completed("stat: cannot statx\n")):
+ assert mount_owner("img:latest", mount) is None
+
+
+def test_an_empty_probe_answer_is_none(mount: Mount) -> None:
+ with patch("factory.contained.identity.subprocess.run", return_value=_completed(" \n")):
+ assert mount_owner("img:latest", mount) is None
+
+
+# --------------------------------------------------------------------------------------------
+# Resolving the identity the run is created with
+# --------------------------------------------------------------------------------------------
+
+
+def test_dry_run_projects_the_host_uid_and_starts_nothing(mount: Mount) -> None:
+ """Composing a command must not provision anything, not even a throwaway probe container."""
+ with patch("factory.contained.identity.subprocess.run") as run:
+ identity = resolve_identity("img:latest", mount, dry_run=True)
+ run.assert_not_called()
+ assert identity.userns is None
+ assert identity.user is not None and identity.user.endswith(":0")
+ assert "dry-run" in identity.detail
+
+
+def test_rootless_podman_uses_keep_id_and_never_probes(mount: Mount) -> None:
+ """keep-id maps the host UID straight through, so the answer is known without measuring."""
+ with patch("factory.contained.identity.podman_is_rootless", return_value=True), \
+ patch("factory.contained.identity.mount_owner") as probe:
+ identity = resolve_identity("img:latest", mount)
+ probe.assert_not_called()
+ assert identity == Identity(user=None, userns="keep-id", detail=identity.detail)
+ assert "keep-id" in identity.detail
+
+
+def test_rootful_podman_runs_as_the_uid_the_container_sees(mount: Mount) -> None:
+ """The probe's answer, not the host's `ls -l`: under rootful podman they differ."""
+ with patch("factory.contained.identity.podman_is_rootless", return_value=False), \
+ patch("factory.contained.identity.mount_owner", return_value=(501, 20)):
+ identity = resolve_identity("img:latest", mount)
+ assert identity.user == "501:0"
+ assert identity.userns is None
+
+
+def test_group_zero_is_used_rather_than_the_mounts_own_gid(mount: Mount) -> None:
+ """The runtime image follows the arbitrary-UID convention — group 0 with g=u — which is also
+ what the cluster's restricted SCC requires. One image, one identity story."""
+ with patch("factory.contained.identity.podman_is_rootless", return_value=False), \
+ patch("factory.contained.identity.mount_owner", return_value=(501, 20)):
+ identity = resolve_identity("img:latest", mount)
+ assert identity.user == "501:0" and not identity.user.endswith(":20")
+
+
+def test_an_unreachable_podman_falls_through_to_the_probe(mount: Mount) -> None:
+ """`podman info` failing is not evidence of rootlessness, so keep-id must not be assumed —
+ podman rejects `--userns=keep-id` outright on a rootful connection."""
+ with patch("factory.contained.identity.podman_is_rootless", return_value=None), \
+ patch("factory.contained.identity.mount_owner", return_value=(0, 0)) as probe:
+ identity = resolve_identity("img:latest", mount)
+ probe.assert_called_once()
+ assert identity.user == "0:0"
+
+
+def test_an_unreadable_mount_aborts_before_anything_is_provisioned(mount: Mount) -> None:
+ """This is the failure the module exists to prevent, so it must be loud and reproducible: the
+ message carries the exact `podman run` the user can paste to see it themselves."""
+ with patch("factory.contained.identity.podman_is_rootless", return_value=False), \
+ patch("factory.contained.identity.mount_owner", return_value=None):
+ with pytest.raises(IdentityError) as excinfo:
+ resolve_identity("img:latest", mount)
+ message = str(excinfo.value)
+ assert mount.target in message
+ assert "podman machine start" in message
+ assert f"podman run --rm -v {mount.as_flag()} img:latest" in message
diff --git a/tests/test_contained_k8s.py b/tests/test_contained_k8s.py
new file mode 100644
index 000000000..3fe1f2cba
--- /dev/null
+++ b/tests/test_contained_k8s.py
@@ -0,0 +1,1018 @@
+"""The cluster runtime and the cluster division: manifests, transport, RBAC, and the boundary."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import subprocess
+from dataclasses import replace
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+import yaml
+
+from factory.cli import contained as cli
+from factory.cli.contained_k8s import PACK_EXCLUDES, _build_pod_plan, _pack
+from factory.contained import k8s, k8s_setup, secrets
+from factory.contained.bundle import SCC_ROLEBINDING, render_bundle
+from factory.contained.k8s import (
+ FACTORY_CONTAINER,
+ LABEL_CONTAINED,
+ LOADER_CONTAINER,
+ PVC_NAME,
+ SECRET_NAME,
+ SERVICE_ACCOUNT,
+ WORKSPACE_ROOT,
+ PodPlan,
+ render_access_review,
+ build_pod_attach_argv,
+ loader_command,
+ render_pod,
+ render_pvc,
+ unpack_command,
+)
+from factory.contained.prereq import Check
+from factory.contained.workspace import plan_workspace
+
+
+def _completed(stdout: str = "", returncode: int = 0) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, "")
+
+
+# Bound at import, before the autouse fixture below replaces the module attribute: the one test
+# that exercises the real lookup has to be able to reach past its own stub.
+_REAL_NAMESPACE_STATUS = k8s_setup._namespace_status
+
+
+@pytest.fixture(autouse=True)
+def _no_cluster_round_trip():
+ """Building a pod plan must not phone a cluster.
+
+ `_build_pod_plan` reads the namespace's allocated `fsGroup` range, which is a live `oc get
+ namespace`. On a machine logged in to a slow or unreachable cluster that is a 30-second timeout
+ per test — the difference between this file taking one second and taking two minutes.
+ """
+ with patch("factory.cli.contained_k8s.namespace_fs_group", return_value=None):
+ yield
+
+
+
+@pytest.fixture(autouse=True)
+def _no_real_kubeconfig():
+ """Keep these tests off the developer's actual kubeconfig.
+
+ Two reasons, both found by running it. `_choose_context` reads the real kubeconfig, so on a
+ machine with several clusters an interactive `setup_k8s` test stops at a prompt. And every one
+ of these helpers shells out to `oc`, which costs seconds per call on macOS — enough to take
+ this file from five seconds to seven minutes. Tests that mean to exercise a chooser or assert
+ on a server patch these themselves; an inner `patch` wins over the fixture.
+ """
+ with patch("factory.contained.k8s_setup.list_contexts", return_value=[]), \
+ patch("factory.contained.k8s_setup.cluster_context", return_value=k8s.ClusterContext()), \
+ patch("factory.contained.k8s_setup.current_namespace", return_value=None), \
+ patch("factory.contained.k8s_setup._namespace_status", return_value=k8s_setup.PRESENT), \
+ patch("factory.contained.k8s._run", return_value=_completed("true")), \
+ patch("factory.contained.k8s_setup.access_review", return_value=True):
+ # `access_review` is stubbed under the name *k8s_setup* imported, not on `k8s` itself: it
+ # shells out with `subprocess.run` directly, so nothing else here catches it, and the test
+ # that exercises the real function reaches it through `k8s.access_review`, untouched.
+ yield
+
+
+def _args(argv: list[str]) -> argparse.Namespace:
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(["contained", *argv])
+ cli.interpret(cli._PARSER, args)
+ return args
+
+
+def _plan(tmp_path: Path, *, division: bool = False) -> PodPlan:
+ project = tmp_path / "rta"
+ project.mkdir(exist_ok=True)
+ args = _args(
+ ["--target", "k8s", "--namespace", "ns", *(["--division"] if division else []),
+ "--", "ceo", str(project)]
+ )
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(tmp_path / "home")}, clear=False):
+ ws = plan_workspace(project, "rta-test")
+ return _build_pod_plan(args, ws, "ns", "rta-test")
+
+
+# --------------------------------------------------------------------------------------------
+# The bundle
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_bundle_is_valid_yaml_and_namespace_scoped() -> None:
+ docs = [d for d in yaml.safe_load_all(render_bundle(namespace="ns")) if d]
+ kinds = {d["kind"] for d in docs}
+ assert kinds == {"ServiceAccount", "Role", "RoleBinding", "PersistentVolumeClaim"}
+ for doc in docs:
+ assert doc["metadata"]["namespace"] == "ns", f"{doc['kind']} is not namespace-scoped"
+ # Binding to a pre-existing cluster SCC is allowed; creating one is not.
+ assert "ClusterRole" not in kinds
+ assert "SecurityContextConstraints" not in kinds
+
+
+def test_the_bundle_never_grants_pods_exec() -> None:
+ """The build sidecar is a boundary only because the agent cannot exec into it."""
+ for division in (False, True):
+ docs = [d for d in yaml.safe_load_all(render_bundle(namespace="ns", division=division)) if d]
+ role = next(d for d in docs if d["kind"] == "Role")
+ resources = {r for rule in role["rules"] for r in rule["resources"]}
+ assert "pods/exec" not in resources
+ assert not any("exec" in r for r in resources)
+
+
+def test_the_division_adds_build_verbs_and_nothing_else() -> None:
+ plain = next(d for d in yaml.safe_load_all(render_bundle(namespace="ns")) if d
+ and d["kind"] == "Role")
+ with_division = next(d for d in yaml.safe_load_all(render_bundle(namespace="ns", division=True))
+ if d and d["kind"] == "Role")
+ plain_groups = {rule.get("apiGroups", [""])[0] for rule in plain["rules"]}
+ division_groups = {rule.get("apiGroups", [""])[0] for rule in with_division["rules"]}
+ assert plain_groups == {""}
+ assert division_groups == {"", "build.openshift.io", "image.openshift.io"}
+
+
+def test_the_bundle_carries_the_secret_command_but_never_the_secret() -> None:
+ """The factory references the Secret by name and never handles the material."""
+ text = render_bundle(namespace="ns")
+ assert "oc create secret generic factory-credentials" in text
+ docs = [d for d in yaml.safe_load_all(text) if d]
+ assert not any(d["kind"] == "Secret" for d in docs)
+
+
+def test_the_bundle_renders_with_no_cluster_reachable() -> None:
+ """An explicit namespace is all it needs — the cluster does not have to be up to print YAML."""
+ with patch("factory.contained.k8s.current_namespace", side_effect=k8s.ClusterError("no cli")):
+ assert "kind: ServiceAccount" in render_bundle(namespace="ns")
+
+
+def test_the_bundle_never_invents_a_namespace() -> None:
+ """Cluster YAML pinned to a guessed name invites the user to apply it somewhere they did not
+ intend, and "it defaulted to `factory`" is not something they would think to check."""
+ from factory.contained.errors import ContainedError
+
+ with patch("factory.contained.k8s.current_namespace", return_value=None):
+ with pytest.raises(ContainedError, match="--namespace"):
+ render_bundle()
+
+
+def test_the_command_the_bundle_prints_is_one_the_cli_accepts() -> None:
+ """The generated header is copy-pasted; a flag after the subcommand is rejected by the parser."""
+ text = render_bundle(namespace="ns")
+ assert "factory contained --namespace ns bundle |" in text
+ assert "contained bundle --namespace" not in text
+
+
+# --------------------------------------------------------------------------------------------
+# The pod
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_pod_is_restricted_scc_compatible(tmp_path: Path) -> None:
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ assert doc["spec"]["securityContext"]["runAsNonRoot"] is True
+ assert doc["spec"]["securityContext"]["seccompProfile"]["type"] == "RuntimeDefault"
+ # No UID is pinned: the namespace picks one and the image is built for arbitrary UIDs.
+ assert "runAsUser" not in doc["spec"]["securityContext"]
+ for container in doc["spec"]["containers"] + doc["spec"]["initContainers"]:
+ assert container["securityContext"]["allowPrivilegeEscalation"] is False
+ assert container["securityContext"]["capabilities"]["drop"] == ["ALL"]
+ assert "privileged" not in container["securityContext"]
+
+
+def test_the_pod_carries_no_host_mounts(tmp_path: Path) -> None:
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ for volume in doc["spec"]["volumes"]:
+ assert "hostPath" not in volume
+ assert doc["spec"]["volumes"][0]["persistentVolumeClaim"]["claimName"] == PVC_NAME
+
+
+def test_credentials_come_from_the_namespace_secret(tmp_path: Path) -> None:
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ factory = next(c for c in doc["spec"]["containers"] if c["name"] == FACTORY_CONTAINER)
+ assert factory["envFrom"][0]["secretRef"]["name"] == "factory-credentials"
+ # `optional: false` — a missing Secret fails the pod at start rather than inside an agent call.
+ assert factory["envFrom"][0]["secretRef"]["optional"] is False
+
+
+def test_the_pvc_is_rwo_and_survives_the_pod() -> None:
+ doc = yaml.safe_load(render_pvc("ns", None))
+ assert doc["spec"]["accessModes"] == ["ReadWriteOnce"]
+ assert doc["metadata"]["name"] == PVC_NAME
+ assert "storageClassName" not in doc["spec"] # cluster default unless asked
+ assert yaml.safe_load(render_pvc("ns", "gp3"))["spec"]["storageClassName"] == "gp3"
+
+
+def test_the_loader_waits_for_the_upload_and_gives_up_eventually(tmp_path: Path) -> None:
+ """A host that died mid-upload must not pin a pod in Init forever."""
+ command = loader_command("rta-test")
+ assert k8s.unpack_marker("rta-test") in command
+ assert str(k8s.LOADER_TIMEOUT_SECONDS) in command
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ loader = next(c for c in doc["spec"]["initContainers"] if c["name"] == LOADER_CONTAINER)
+ assert loader["volumeMounts"][0]["mountPath"] == WORKSPACE_ROOT
+
+
+def test_the_marker_is_per_run_so_a_reused_pvc_cannot_serve_stale_files() -> None:
+ """The PVC outlives the run that filled it. A shared marker means the *next* run finds it
+ present, skips its own upload, and quietly runs against the previous run's files."""
+ assert k8s.unpack_marker("run-a") != k8s.unpack_marker("run-b")
+ assert "run-a" in loader_command("run-a")
+ assert "run-a" in unpack_command("run-a")
+
+
+def test_the_marker_is_written_only_on_a_successful_unpack() -> None:
+ """A partial transfer must leave the loader waiting, not start the factory on half a tree."""
+ command = unpack_command("rta-test")
+ assert command.index("tar xzf") < command.index("&&") < command.index("touch")
+
+
+def test_the_workspace_is_packed_once_not_copied_file_by_file(tmp_path: Path) -> None:
+ import tarfile
+
+ project = tmp_path / "rta"
+ (project / "src").mkdir(parents=True)
+ (project / "src" / "main.go").write_text("package main\n")
+ (project / ".venv").mkdir()
+ (project / ".venv" / "huge").write_text("x" * 1000)
+ (project / ".factory").mkdir()
+ (project / ".factory" / "config.json").write_text("{}")
+
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(tmp_path / "home")}, clear=False):
+ ws = plan_workspace(project, "rta-test")
+ # plan_workspace does not copy, so point the pack at the project itself.
+ ws = type(ws)(source=project, path=project, kind="copy")
+ tarball = _pack(ws, "rta-test")
+
+ with tarfile.open(tarball) as archive:
+ names = archive.getnames()
+ assert "rta/src/main.go" in names
+ # .factory/ must survive — it is gitignored by convention and holds the whole history.
+ assert "rta/.factory/config.json" in names
+ # Host-shaped directories must not: an arm64 .venv on an amd64 node is actively wrong.
+ assert not any(name.startswith("rta/.venv") for name in names)
+ assert ".venv" in PACK_EXCLUDES
+
+
+def test_the_project_lands_where_the_payload_was_rewritten_to(tmp_path: Path) -> None:
+ plan = _plan(tmp_path)
+ assert plan.project_dir == f"{WORKSPACE_ROOT}/rta"
+ assert plan.project_dir in plan.factory_command
+
+
+# --------------------------------------------------------------------------------------------
+# Lifecycle over factory-created pods only
+# --------------------------------------------------------------------------------------------
+
+
+def test_pods_are_selected_by_the_factory_label() -> None:
+ argv = k8s.build_get_pods_argv("ns")
+ assert "-l" in argv
+ assert f"{LABEL_CONTAINED}=true" in argv
+
+
+def test_attach_is_oc_exec_into_tmux() -> None:
+ argv = build_pod_attach_argv("rta-test", "ns")
+ assert argv[1] == "exec"
+ assert "-t" in argv
+ assert argv[-4:] == ["tmux", "attach", "-t", "factory"]
+
+
+def test_cluster_runtimes_reports_pods_as_runtimes() -> None:
+ payload = {
+ "items": [
+ {
+ "metadata": {
+ "name": "rta-test",
+ "labels": {"factory.contained": "true", "factory.project": "deadbeef"},
+ "creationTimestamp": "2026-08-04T00:00:00Z",
+ },
+ "status": {"phase": "Running"},
+ }
+ ]
+ }
+ with patch("factory.contained.k8s._run", return_value=_completed(json.dumps(payload))):
+ runtimes = k8s.cluster_runtimes("ns")
+ assert [(r.name, r.target, r.state) for r in runtimes] == [("rta-test", "k8s", "Running")]
+
+
+def test_rm_leaves_the_pvc_alone(capsys: pytest.CaptureFixture[str]) -> None:
+ """The PVC holds the only copy of a multi-hour run's work."""
+ with patch("factory.contained.k8s._run", return_value=_completed()) as run:
+ code = k8s.remove_cluster_runtime("rta-test", namespace="ns")
+ assert code == 0
+ deletes = [call.args[0] for call in run.call_args_list]
+ assert not any("pvc" in " ".join(argv) for argv in deletes)
+ assert PVC_NAME in capsys.readouterr().out
+
+
+# --------------------------------------------------------------------------------------------
+# The secret scan
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_missing_scanner_warns_and_proceeds(capsys: pytest.CaptureFixture[str]) -> None:
+ """Refusing to run without an optional tool would make it mandatory by the back door."""
+ result = secrets.ScanResult(scanned=False, detail="gitleaks is not installed")
+ assert secrets.confirm_upload(result, assume_yes=False, interactive=False) is True
+ assert "not installed" in capsys.readouterr().err
+
+
+def test_a_clean_scan_asks_nothing() -> None:
+ result = secrets.ScanResult(scanned=True, findings=(), detail="no secrets found")
+ assert secrets.confirm_upload(result, assume_yes=False, interactive=False) is True
+
+
+def test_findings_block_a_non_interactive_upload(capsys: pytest.CaptureFixture[str]) -> None:
+ result = secrets.ScanResult(
+ scanned=True,
+ findings=(secrets.Finding(file=".env", line=1, rule="aws-key", description="AWS key"),),
+ detail="1 finding(s)",
+ )
+ assert secrets.confirm_upload(result, assume_yes=False, interactive=False) is False
+ err = capsys.readouterr().err
+ assert ".env:1" in err
+ assert "cluster storage" in err
+
+
+def test_yes_overrides_and_is_recorded(capsys: pytest.CaptureFixture[str]) -> None:
+ """A warn-and-confirm gate, not a hard block — but the override is never silent."""
+ result = secrets.ScanResult(
+ scanned=True,
+ findings=(secrets.Finding(file=".env", line=1, rule="aws-key", description="AWS key"),),
+ detail="1 finding(s)",
+ )
+ assert secrets.confirm_upload(result, assume_yes=True, interactive=False) is True
+ assert "--yes was given" in capsys.readouterr().err
+
+
+def test_the_scan_reads_the_tree_not_the_history() -> None:
+ argv = secrets.build_scan_argv(Path("/w"), Path("/tmp/r.json"))
+ assert argv[1] == "dir"
+ assert "/w" in argv
+
+
+def test_a_scan_never_raises_when_gitleaks_is_absent(tmp_path: Path) -> None:
+ with patch("factory.contained.secrets.shutil.which", return_value=None):
+ result = secrets.scan(tmp_path)
+ assert result.scanned is False
+ assert "UNSCANNED" in result.detail
+
+
+# --------------------------------------------------------------------------------------------
+# verify — every failure carries its fix
+# --------------------------------------------------------------------------------------------
+
+
+def test_no_cli_reports_one_failure_not_nine() -> None:
+ with patch("factory.contained.k8s_setup.cli_binary",
+ side_effect=k8s.ClusterError("neither oc nor kubectl")):
+ checks = k8s_setup.verify_k8s(namespace="ns")
+ assert len(checks) == 1
+ assert not checks[0].ok
+ assert checks[0].fix
+
+
+def test_no_context_stops_before_reporting_eight_more_failures() -> None:
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed(returncode=1)):
+ checks = k8s_setup.verify_k8s(namespace="ns")
+ assert len(checks) == 1
+ assert checks[0].name == "cluster_cli"
+ assert "login" in (checks[0].fix or "")
+
+
+def test_a_missing_object_names_the_command_that_restores_it() -> None:
+ def fake_run(argv, **kwargs):
+ if "current-context" in argv:
+ return _completed("ctx")
+ if "rolebinding" in argv and SCC_ROLEBINDING in argv:
+ return _completed(returncode=1)
+ return _completed("ok")
+
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup._run", side_effect=fake_run):
+ # `probe_inference=False`: the probe launches a real pod and waits on it, which is a
+ # three-minute round trip and nothing to do with what this test asserts.
+ checks = k8s_setup.verify_k8s(namespace="ns", probe_inference=False)
+ missing = [c for c in checks if not c.ok and SCC_ROLEBINDING in c.name]
+ assert missing
+ # Flag before subcommand — the form the parser actually accepts.
+ assert "factory contained --namespace ns" in (missing[0].fix or "")
+ assert "bundle |" in (missing[0].fix or "")
+
+
+def test_permissions_are_checked_as_the_service_account_not_as_the_user() -> None:
+ review = json.loads(render_access_review("create", "pods", "ns",
+ as_service_account=SERVICE_ACCOUNT))
+ assert review["kind"] == "SubjectAccessReview"
+ assert review["spec"]["user"] == f"system:serviceaccount:ns:{SERVICE_ACCOUNT}"
+ # And without a subject it is a *self* review — "can I", not "can they".
+ assert json.loads(render_access_review("create", "pods", "ns"))["kind"] == (
+ "SelfSubjectAccessReview"
+ )
+
+
+def test_a_subresource_is_its_own_field_not_a_slash_string() -> None:
+ """`oc auth can-i` collapses pods/exec onto pods when impersonating and answers yes for a verb
+ RBAC denies — measured against OpenShift 4.21. The API object keeps them apart."""
+ review = json.loads(render_access_review("create", "pods", "ns", subresource="exec",
+ as_service_account=SERVICE_ACCOUNT))
+ attributes = review["spec"]["resourceAttributes"]
+ assert attributes["resource"] == "pods"
+ assert attributes["subresource"] == "exec"
+ # No subresource must not leave an empty one behind, which some servers treat as a mismatch.
+ plain = json.loads(render_access_review("create", "pods", "ns"))
+ assert "subresource" not in plain["spec"]["resourceAttributes"]
+
+
+def test_an_unreachable_review_is_unknown_not_denied() -> None:
+ """"Denied" and "we could not find out" call for different messages."""
+ with patch("factory.contained.k8s.subprocess.run", side_effect=FileNotFoundError):
+ assert k8s.access_review("create", "pods", "ns") is None
+ with patch("factory.contained.k8s.subprocess.run", return_value=_completed("true")):
+ assert k8s.access_review("create", "pods", "ns") is True
+ with patch("factory.contained.k8s.subprocess.run", return_value=_completed("false")):
+ assert k8s.access_review("create", "pods", "ns") is False
+
+
+def test_pods_exec_being_granted_is_itself_a_failure() -> None:
+ """The one check that fails when something succeeds."""
+ with patch("factory.contained.k8s_setup.access_review", return_value=True):
+ check = k8s_setup._no_exec_check("ns")
+ assert not check.ok
+ assert "recover a shell" in check.detail
+ assert check.fix
+
+ with patch("factory.contained.k8s_setup.access_review", return_value=False):
+ check = k8s_setup._no_exec_check("ns")
+ assert check.ok
+
+ with patch("factory.contained.k8s_setup.access_review", return_value=None):
+ check = k8s_setup._no_exec_check("ns")
+ assert not check.ok
+ assert "could not check" in check.detail
+
+
+def test_a_secret_with_the_wrong_keys_is_reported_by_key_never_by_value() -> None:
+ payload = json.dumps({"SOME_OTHER_KEY": "c2VjcmV0"})
+ with patch("factory.contained.k8s_setup._run", return_value=_completed(payload)):
+ check = k8s_setup._secret_check("oc", "ns")
+ assert not check.ok
+ assert "SOME_OTHER_KEY" in check.detail
+ assert "c2VjcmV0" not in check.detail
+ assert "oc create secret" in (check.fix or "")
+
+
+def test_a_vertex_secret_is_accepted() -> None:
+ payload = json.dumps({k: "x" for k in k8s_setup.VERTEX_KEYS})
+ with patch("factory.contained.k8s_setup._run", return_value=_completed(payload)):
+ assert k8s_setup._secret_check("oc", "ns").ok
+
+
+def test_setup_reports_the_current_state_before_asking(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """The summary covers every object, so "4 of 5 are already there" is visible up front."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run"), \
+ patch("builtins.input", return_value="q"):
+ k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True)
+ printed = capsys.readouterr().out
+ for ref in ("serviceaccount/factory", "role/factory-runtime", "rolebinding/factory-scc",
+ "pvc/factory-workspace"):
+ assert ref in printed
+ # The state is established before the first item is walked, not after it. Asserted on the item
+ # header rather than the prompt: the prompt is written by `input()`, which the mock swallows.
+ assert printed.index("Comparing 5 object(s)") < printed.index("1 of 5")
+
+
+def test_setup_asks_once_per_object_that_needs_a_decision(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run"), \
+ patch("factory.contained.k8s_setup.verify_k8s", return_value=[]), \
+ patch("builtins.input", return_value="n") as ask:
+ k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True)
+ assert ask.call_count == 5 # one per object, not one for the whole wall of YAML
+
+
+def test_setup_explains_each_object_before_asking_about_it(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """The YAML says a Role has these verbs; the purpose says why a run needs them."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run"), \
+ patch("builtins.input", return_value="q"):
+ k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True)
+ printed = capsys.readouterr().out
+ assert "The identity the factory's pod runs as" in printed
+
+
+def test_setup_asks_which_namespace_when_none_was_given(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Landing silently on whatever `oc project` is set to is how `default` acquires a PVC."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run"), \
+ patch("builtins.input", side_effect=["factory-contained", "q"]):
+ k8s_setup.setup_k8s(namespace=None, division=False, interactive=True)
+ printed = capsys.readouterr().out
+ assert "namespace 'factory-contained'" in printed
+ assert "namespace 'default'" not in printed
+
+
+def test_an_empty_answer_takes_the_current_context() -> None:
+ with patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("builtins.input", return_value=""):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") == "default"
+
+
+def test_an_explicit_namespace_is_used_without_being_asked_about() -> None:
+ """`--namespace` settles *which* namespace; it is never re-litigated by a prompt."""
+ with patch("factory.contained.k8s_setup._namespace_status", return_value=k8s_setup.PRESENT), \
+ patch("builtins.input", side_effect=AssertionError("must not ask")):
+ assert k8s_setup._choose_namespace("mine", interactive=True, binary="oc") == "mine"
+
+
+def test_an_explicit_namespace_is_still_checked_for_existence() -> None:
+ """A typo would otherwise surface as five separate NotFound errors from the apply."""
+ with patch("factory.contained.k8s_setup._namespace_status", return_value=k8s_setup.ABSENT), \
+ patch("factory.contained.k8s_setup._create_namespace",
+ return_value=(True, "created")) as create, \
+ patch("factory.contained.style.confirm", return_value=True):
+ assert k8s_setup._choose_namespace("mine", interactive=True, binary="oc") == "mine"
+ create.assert_called_once()
+
+
+def test_declining_to_create_a_missing_namespace_stops_rather_than_proceeding() -> None:
+ with patch("factory.contained.k8s_setup._namespace_status", return_value=k8s_setup.ABSENT), \
+ patch("factory.contained.k8s_setup._create_namespace") as create, \
+ patch("factory.contained.style.confirm", return_value=False):
+ assert k8s_setup._choose_namespace("mine", interactive=True, binary="oc") is None
+ create.assert_not_called()
+
+
+def test_a_missing_namespace_is_offered_for_creation_then_reused(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s_setup.current_namespace", return_value=None), \
+ patch("factory.contained.k8s_setup._namespace_status", return_value=k8s_setup.ABSENT), \
+ patch("factory.contained.k8s_setup._create_namespace", return_value=(True, "")), \
+ patch("factory.contained.style.confirm", return_value=True), \
+ patch("builtins.input", return_value="factory-yi"):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") == "factory-yi"
+ assert "does not exist on this cluster" in capsys.readouterr().out
+
+
+def test_refusing_creation_at_the_prompt_asks_for_another_namespace() -> None:
+ """Declining is not aborting: the obvious next move is to name a different one."""
+ with patch("factory.contained.k8s_setup.current_namespace", return_value=None), \
+ patch("factory.contained.k8s_setup._namespace_status",
+ side_effect=[k8s_setup.ABSENT, k8s_setup.PRESENT]), \
+ patch("factory.contained.style.confirm", return_value=False), \
+ patch("builtins.input", side_effect=["typo", "real-one"]):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") == "real-one"
+
+
+def test_a_namespace_we_may_not_read_is_not_treated_as_missing(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """On OpenShift a regular user is routinely denied `get namespaces` for a project they own."""
+ with patch("factory.contained.k8s_setup._namespace_status",
+ return_value=k8s_setup.UNREADABLE), \
+ patch("factory.contained.k8s_setup._create_namespace") as create:
+ assert k8s_setup._choose_namespace("mine", interactive=True, binary="oc") == "mine"
+ create.assert_not_called()
+ assert "Could not confirm" in capsys.readouterr().out
+
+
+def test_namespace_status_falls_back_to_project_when_namespaces_are_forbidden() -> None:
+ forbidden = _completed("", 1)
+ forbidden = subprocess.CompletedProcess([], 1, "", 'namespaces "x" is forbidden')
+ found = _completed("project.project.openshift.io/x")
+ with patch("factory.contained.k8s_setup._run", side_effect=[forbidden, found]) as run:
+ assert _REAL_NAMESPACE_STATUS("x", "oc") == k8s_setup.PRESENT
+ assert run.call_args_list[1][0][0][:3] == ["oc", "get", "project"]
+
+
+def test_namespace_creation_uses_new_project_on_openshift() -> None:
+ """A regular user is usually denied a bare Namespace but permitted to request a Project."""
+ with patch("factory.contained.k8s_setup._run", return_value=_completed("ok")) as run:
+ assert k8s_setup._create_namespace("mine", "oc")[0] is True
+ assert run.call_args[0][0] == ["oc", "new-project", "mine"]
+ with patch("factory.contained.k8s_setup._run", return_value=_completed("ok")) as run:
+ k8s_setup._create_namespace("mine", "kubectl")
+ assert run.call_args[0][0] == ["kubectl", "create", "namespace", "mine"]
+
+
+def test_setup_names_the_cluster_not_only_the_namespace(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """`default` exists on every cluster anyone has logged into; the server is what identifies one."""
+ context = k8s.ClusterContext(
+ context="dev", server="https://api.example.com:6443", user="you@example.com",
+ namespace="default",
+ )
+ with patch("factory.contained.k8s_setup.cluster_context", return_value=context), \
+ patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("builtins.input", return_value=""):
+ k8s_setup._choose_namespace(None, interactive=True, binary="oc")
+ printed = capsys.readouterr().out
+ assert "https://api.example.com:6443" in printed
+ assert "you@example.com" in printed
+ assert "dev" in printed
+
+
+def test_the_review_summary_names_the_cluster(capsys: pytest.CaptureFixture[str]) -> None:
+ """With a per-object walk there is no single irreversible moment left to attach it to — the
+ first `y` is already one — so the destination is stated before the walk begins."""
+ context = k8s.ClusterContext(server="https://api.example.com:6443")
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.cluster_context", return_value=context), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run"), \
+ patch("builtins.input", return_value="q"):
+ k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True)
+ assert "https://api.example.com:6443" in capsys.readouterr().out
+
+
+def test_a_walked_run_is_not_asked_to_confirm_a_second_time() -> None:
+ """Every accepted object was confirmed a moment ago; a blanket prompt on top teaches `y`."""
+ def absent(argv: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ # Nothing is in the namespace, so all five objects need a decision.
+ return _completed("", 1) if argv[1] == "get" else _completed("applied")
+
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_review._run", side_effect=absent), \
+ patch("factory.contained.k8s_setup.subprocess.run", return_value=_completed("applied")), \
+ patch("factory.contained.k8s_setup.verify_k8s",
+ return_value=[Check("namespace", True, "ok")]), \
+ patch("builtins.input", side_effect=["a"]) as ask:
+ k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True)
+ assert ask.call_count == 1 # the single `a`, and nothing after it
+
+
+def test_an_unreadable_kubeconfig_still_reports_what_it_knows(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Degrades one field at a time rather than printing nothing at all."""
+ with patch("factory.contained.k8s_setup.cluster_context",
+ return_value=k8s.ClusterContext()), \
+ patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("builtins.input", return_value=""):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") == "default"
+ assert "'default'" in capsys.readouterr().out
+
+
+def test_cluster_context_reads_names_never_credential_material() -> None:
+ payload = json.dumps({
+ "current-context": "dev",
+ "contexts": [{"context": {"user": "you", "namespace": "ns"}}],
+ "clusters": [{"cluster": {"server": "https://api.example.com:6443"}}],
+ "users": [{"user": {"token": "sk-secret-token"}}],
+ })
+ with patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=_completed(payload)):
+ context = k8s.cluster_context()
+ assert context.server == "https://api.example.com:6443"
+ assert (context.context, context.user, context.namespace) == ("dev", "you", "ns")
+ # Nothing from the `users` section reaches the dataclass at all.
+ assert "sk-secret-token" not in repr(context)
+
+
+def test_cluster_context_degrades_to_empty_on_junk() -> None:
+ with patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=_completed("not json")):
+ assert k8s.cluster_context() == k8s.ClusterContext()
+
+
+def test_a_google_credential_is_mounted_as_a_file_not_an_env_var(tmp_path: Path) -> None:
+ """`GOOGLE_APPLICATION_CREDENTIALS` is a *path*. Passing the JSON as its value cannot work.
+
+ Verified against a live cluster: without this the pod got the variable set to the credential's
+ text, and the auth library tried to open a file named `{"type": "authorized_user"…}`.
+ """
+ plan = _plan(tmp_path)
+ plan = replace(plan, adc=True, env={**plan.env, "GOOGLE_APPLICATION_CREDENTIALS": k8s.ADC_PATH})
+ doc = yaml.safe_load(render_pod(plan))
+
+ volume = next(v for v in doc["spec"]["volumes"] if v["name"] == "credentials")
+ assert volume["secret"]["secretName"] == SECRET_NAME
+ assert volume["secret"]["defaultMode"] == 0o400
+ # No `items:` — a volume naming a key the Secret lacks leaves the pod Pending on "couldn't
+ # find key", and `optional` covers a missing Secret, not a missing key.
+ assert "items" not in volume["secret"]
+
+ factory = next(c for c in doc["spec"]["containers"] if c["name"] == FACTORY_CONTAINER)
+ mount = next(m for m in factory["volumeMounts"] if m["name"] == "credentials")
+ assert mount["mountPath"] == k8s.CREDENTIALS_MOUNT
+ assert mount["readOnly"] is True
+ env = {e["name"]: e["value"] for e in factory["env"]}
+ assert env["GOOGLE_APPLICATION_CREDENTIALS"] == f"{k8s.CREDENTIALS_MOUNT}/{k8s.ADC_SECRET_KEY}"
+
+
+def test_no_credential_volume_when_the_secret_carries_no_file(tmp_path: Path) -> None:
+ """An API-key run must not grow a mount it has no use for."""
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ assert [v["name"] for v in doc["spec"]["volumes"]] == ["workspace"]
+ factory = next(c for c in doc["spec"]["containers"] if c["name"] == FACTORY_CONTAINER)
+ assert [m["name"] for m in factory["volumeMounts"]] == ["workspace"]
+
+
+def test_the_adc_key_is_a_legal_environment_variable_name() -> None:
+ """`envFrom` maps every key to a variable and skips illegal names.
+
+ A key called `application_default_credentials.json` would attach an
+ `InvalidEnvironmentVariableNames` event to a pod that is in fact fine.
+ """
+ assert k8s.ADC_SECRET_KEY.replace("_", "a").isalnum()
+ assert not k8s.ADC_SECRET_KEY[0].isdigit()
+
+
+def test_vertex_configuration_without_a_credential_is_not_enough() -> None:
+ """The three config variables only say which endpoint to talk to; none authenticates."""
+ config_only = json.dumps({
+ k: "x" for k in
+ ("CLAUDE_CODE_USE_VERTEX", "CLOUD_ML_REGION", "ANTHROPIC_VERTEX_PROJECT_ID")
+ })
+ with patch("factory.contained.k8s_setup._run", return_value=_completed(config_only)):
+ assert not k8s_setup._secret_check("oc", "ns").ok
+ # With the credential file, it passes.
+ complete = json.dumps({k: "x" for k in k8s_setup.VERTEX_KEYS})
+ with patch("factory.contained.k8s_setup._run", return_value=_completed(complete)):
+ assert k8s_setup._secret_check("oc", "ns").ok
+
+
+def test_secret_keys_reads_names_and_never_values() -> None:
+ payload = json.dumps({"ANTHROPIC_API_KEY": "c2stYW50LXNlY3JldA==",
+ k8s.ADC_SECRET_KEY: "eyJ0eXBlIjogImF1dGhvcml6ZWRfdXNlciJ9"})
+ with patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=_completed(payload)):
+ keys = k8s.secret_keys(SECRET_NAME, "ns")
+ assert keys == {"ANTHROPIC_API_KEY", k8s.ADC_SECRET_KEY}
+
+
+def test_secret_keys_degrades_to_empty_rather_than_raising() -> None:
+ for outcome in (None, _completed("", 1), _completed("not json")):
+ with patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=outcome):
+ assert k8s.secret_keys(SECRET_NAME, "ns") == set()
+
+
+def test_verify_reports_each_check_as_it_lands() -> None:
+ """A step that prints nothing for three minutes is read as a hang. It was."""
+ seen: list[str] = []
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("", 1)):
+ checks = k8s_setup.verify_k8s(namespace="ns", probe_inference=False,
+ on_check=lambda c: seen.append(c.name))
+ # Every result reached the callback, in order, and none was reported only at the end.
+ assert seen == [c.name for c in checks]
+ assert seen
+
+
+def test_a_check_that_short_circuits_still_reaches_the_callback() -> None:
+ """A streaming caller prints only the summary at the end; a skipped callback is a lost check."""
+ seen: list[str] = []
+ with patch("factory.contained.k8s_setup.cli_binary",
+ side_effect=k8s.ClusterError("neither oc nor kubectl")):
+ checks = k8s_setup.verify_k8s(namespace="ns", on_check=lambda c: seen.append(c.name))
+ assert seen == ["cluster_cli"] == [c.name for c in checks]
+
+
+def test_the_inference_probe_is_skipped_when_the_secret_is_missing() -> None:
+ """The probe pod mounts that Secret; without it the wait is 180s to learn what we know."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("ctx")), \
+ patch("factory.contained.k8s_setup._secret_check",
+ return_value=Check("credentials_secret", False, "missing", fix="oc create secret")), \
+ patch("factory.contained.k8s_setup._inference_check") as probe:
+ checks = k8s_setup.verify_k8s(namespace="ns")
+ probe.assert_not_called()
+ inference = next(c for c in checks if c.name == "inference_from_cluster")
+ assert not inference.ok
+ assert "not attempted" in inference.detail
+ assert inference.fix == "oc create secret" # the fix is the Secret's, not a generic one
+
+
+def test_the_inference_probe_still_runs_when_the_secret_is_there() -> None:
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("ctx")), \
+ patch("factory.contained.k8s_setup._secret_check",
+ return_value=Check("credentials_secret", True, "present")), \
+ patch("factory.contained.k8s_setup._inference_check",
+ return_value=Check("inference_from_cluster", True, "reached")) as probe:
+ k8s_setup.verify_k8s(namespace="ns")
+ probe.assert_called_once()
+
+
+def test_every_cluster_command_carries_the_chosen_context() -> None:
+ """Choosing a cluster is worthless if the apply still goes to the current one."""
+ try:
+ k8s.set_active_context("other-cluster")
+ assert k8s.cli("oc", "apply", "-f", "-") == [
+ "oc", "--context", "other-cluster", "apply", "-f", "-"
+ ]
+ finally:
+ k8s.set_active_context(None)
+ assert k8s.cli("oc", "apply", "-f", "-") == ["oc", "apply", "-f", "-"]
+
+
+def test_list_contexts_pairs_each_context_with_its_server() -> None:
+ payload = json.dumps({
+ "contexts": [
+ {"name": "dev", "context": {"cluster": "c1", "user": "u1", "namespace": "ns1"}},
+ {"name": "prod", "context": {"cluster": "c2", "user": "u2"}},
+ ],
+ "clusters": [
+ {"name": "c1", "cluster": {"server": "https://dev.example.com"}},
+ {"name": "c2", "cluster": {"server": "https://prod.example.com"}},
+ ],
+ })
+ with patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=_completed(payload)):
+ contexts = k8s.list_contexts()
+ assert [c.context for c in contexts] == ["dev", "prod"]
+ assert [c.server for c in contexts] == ["https://dev.example.com", "https://prod.example.com"]
+ assert contexts[1].namespace is None # a context need not pin a namespace
+
+
+def test_a_single_context_is_not_worth_a_question() -> None:
+ one = [k8s.ClusterContext(context="only", server="https://x")]
+ with patch("factory.contained.k8s_setup.list_contexts", return_value=one), \
+ patch("builtins.input", side_effect=AssertionError("must not ask")):
+ assert k8s_setup._choose_context(interactive=True) is None
+
+
+def test_a_cluster_can_be_chosen_by_number_or_by_name() -> None:
+ contexts = [
+ k8s.ClusterContext(context="dev", server="https://dev"),
+ k8s.ClusterContext(context="prod", server="https://prod"),
+ ]
+ with patch("factory.contained.k8s_setup.list_contexts", return_value=contexts), \
+ patch("factory.contained.k8s_setup.cluster_context", return_value=contexts[0]):
+ with patch("factory.contained.style.read_line", return_value="2"):
+ assert k8s_setup._choose_context(interactive=True) == "prod"
+ # People paste context names as often as they count list positions.
+ with patch("factory.contained.style.read_line", return_value="prod"):
+ assert k8s_setup._choose_context(interactive=True) == "prod"
+
+
+def test_escape_at_the_cluster_chooser_stops_setup() -> None:
+ contexts = [k8s.ClusterContext(context="dev"), k8s.ClusterContext(context="prod")]
+ with patch("factory.contained.k8s_setup.list_contexts", return_value=contexts), \
+ patch("factory.contained.k8s_setup.cluster_context", return_value=contexts[0]), \
+ patch("factory.contained.style.read_line", return_value=None):
+ assert k8s_setup._choose_context(interactive=True) is k8s_setup._ABORT
+
+
+def test_choosing_a_cluster_never_rewrites_the_kubeconfig() -> None:
+ """Where *this* run goes must not change where the user's next unrelated `oc` goes."""
+ contexts = [k8s.ClusterContext(context="dev"), k8s.ClusterContext(context="prod")]
+ with patch("factory.contained.k8s_setup.list_contexts", return_value=contexts), \
+ patch("factory.contained.k8s_setup.cluster_context", return_value=contexts[0]), \
+ patch("factory.contained.k8s_setup.use_context") as switch, \
+ patch("factory.contained.style.read_line", return_value="2"):
+ k8s_setup._choose_context(interactive=True)
+ switch.assert_not_called()
+
+
+def test_declining_the_default_switch_prints_the_command(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s_setup.cluster_context",
+ return_value=k8s.ClusterContext(context="dev")), \
+ patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.use_context") as switch, \
+ patch("factory.contained.style.confirm", return_value=False):
+ k8s_setup._offer_default_switch("prod", interactive=True)
+ switch.assert_not_called()
+ assert "oc config use-context prod" in capsys.readouterr().out
+
+
+def test_no_switch_is_offered_when_the_chosen_context_is_already_current(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s_setup.cluster_context",
+ return_value=k8s.ClusterContext(context="prod")), \
+ patch("builtins.input", side_effect=AssertionError("must not ask")):
+ k8s_setup._offer_default_switch("prod", interactive=True)
+ assert capsys.readouterr().out == ""
+
+
+def test_ctrl_c_exits_cleanly_rather_than_unwinding(capsys: pytest.CaptureFixture[str]) -> None:
+ """Backing out of a wizard partway is ordinary; a stack trace reads as a crash."""
+ args = _args(["--target", "k8s", "setup"])
+ with patch("factory.cli.contained.run_setup", side_effect=KeyboardInterrupt):
+ assert cli.cmd_contained(args) == 130
+ assert "Stopped." in capsys.readouterr().err
+
+
+def test_a_closed_stdin_stops_rather_than_re_asking_forever() -> None:
+ """Re-prompting a stream that can never answer is a hang, not a retry."""
+ with patch("factory.contained.k8s_setup.current_namespace", return_value=None), \
+ patch("builtins.input", side_effect=EOFError):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") is None
+
+
+def test_escape_at_the_namespace_prompt_stops_setup() -> None:
+ """Escape has to work at every prompt, not only at the per-object ones."""
+ with patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("factory.contained.style.read_line", return_value=None):
+ assert k8s_setup._choose_namespace(None, interactive=True, binary="oc") is None
+
+
+def test_the_namespace_is_marked_as_a_value_not_prose(capsys: pytest.CaptureFixture[str]) -> None:
+ """"in namespace default" cannot be read; the quotes are what make `default` a name."""
+ with patch("factory.contained.k8s_setup.current_namespace", return_value="default"), \
+ patch("builtins.input", return_value=""):
+ k8s_setup._choose_namespace(None, interactive=True, binary="oc")
+ assert "'default'" in capsys.readouterr().out
+
+
+def test_setup_applies_nothing_without_confirmation(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run") as run:
+ code = k8s_setup.setup_k8s(namespace="ns", division=False, interactive=False)
+ # Not `assert_not_called`: establishing the current state legitimately runs `get` and `diff`.
+ # What must not have happened is the mutation.
+ assert not any("apply" in call.args[0] for call in run.call_args_list if call.args)
+ assert code == 1
+ captured = capsys.readouterr()
+ # Every object is still accounted for — as state, not as a wall of YAML.
+ for ref in ("serviceaccount/factory", "role/factory-runtime", "pvc/factory-workspace"):
+ assert ref in captured.out
+ assert "nothing was applied" in captured.err.lower()
+
+
+def test_setup_says_so_when_no_cluster_is_selected(capsys: pytest.CaptureFixture[str]) -> None:
+ """"About to apply ... with your own credentials" is untrue when there are none."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("", returncode=1)), \
+ patch("factory.contained.k8s_setup.subprocess.run") as run:
+ code = k8s_setup.setup_k8s(namespace="ns", division=False, interactive=True,
+ assume_yes=True)
+ run.assert_not_called()
+ assert code == 1
+ assert "No cluster is selected" in capsys.readouterr().err
+
+
+def test_setup_degrades_to_printing_when_apply_is_refused(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """It never partially applies and reports success."""
+ with patch("factory.contained.k8s_setup.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s_setup.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_setup._run", return_value=_completed("some-context")), \
+ patch("factory.contained.k8s_setup.subprocess.run",
+ return_value=_completed("", returncode=1)), \
+ patch("factory.contained.k8s_setup.verify_k8s",
+ return_value=[Check("bundle:role", False, "missing", fix="apply the bundle")]):
+ code = k8s_setup.setup_k8s(namespace="ns", division=False, interactive=False,
+ assume_yes=True)
+ assert code == 1
+ err = capsys.readouterr().err
+ # "the manifest above" no longer exists — the wall of YAML is gone, so the hand-off names the
+ # `bundle` command that reproduces it instead.
+ assert "hand the bundle to whoever owns" in err.lower()
+
+
+def test_a_sweep_that_matched_nothing_says_nothing(capsys: pytest.CaptureFixture[str]) -> None:
+ """`oc delete --ignore-not-found` prints "No resources found" when it matched nothing; echoing
+ that verbatim reads as "swept No resources found"."""
+ with patch("factory.contained.k8s._run",
+ return_value=_completed("No resources found in ns namespace.")):
+ k8s.remove_cluster_runtime("rta-test", namespace="ns")
+ assert "swept" not in capsys.readouterr().out
+
+
+def test_a_sweep_that_deleted_something_reports_a_count(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s._run",
+ return_value=_completed('pod "a" deleted\npod "b" deleted')):
+ k8s.remove_cluster_runtime("rta-test", namespace="ns")
+ assert "swept 2 pod(s)" in capsys.readouterr().out
diff --git a/tests/test_contained_k8s_division.py b/tests/test_contained_k8s_division.py
new file mode 100644
index 000000000..809e4b858
--- /dev/null
+++ b/tests/test_contained_k8s_division.py
@@ -0,0 +1,179 @@
+"""The cluster container-manufacturing plane: the Build path, the sidecar, and the boundary."""
+
+from __future__ import annotations
+
+import argparse
+import os
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+import yaml
+
+from factory.cli import contained as cli
+from factory.cli.contained_k8s import _build_pod_plan
+from factory.contained import k8s, k8s_division
+from factory.contained.k8s import (
+ FACTORY_CONTAINER,
+ SIDECAR_CONTAINER,
+ WORKSPACE_ROOT,
+ PodPlan,
+ render_pod,
+)
+from factory.contained.workspace import plan_workspace
+
+
+def _completed(stdout: str = "", returncode: int = 0) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, "")
+
+
+@pytest.fixture(autouse=True)
+def _no_cluster_round_trip():
+ """Building a pod plan must not phone a cluster.
+
+ `_build_pod_plan` reads the namespace's allocated `fsGroup` range, which is a live `oc get
+ namespace`. On a machine logged in to a slow or unreachable cluster that is a 30-second timeout
+ per test — the difference between this file taking one second and taking two minutes.
+ """
+ with patch("factory.cli.contained_k8s.namespace_fs_group", return_value=None):
+ yield
+
+
+
+def _plan(tmp_path: Path, *, division: bool = True) -> PodPlan:
+ project = tmp_path / "rta"
+ project.mkdir(exist_ok=True)
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(
+ ["contained", "--target", "k8s", "--namespace", "ns",
+ *(["--division"] if division else []), "--", "ceo", str(project)]
+ )
+ cli.interpret(cli._PARSER, args)
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(tmp_path / "home")}, clear=False):
+ ws = plan_workspace(project, "rta-test")
+ return _build_pod_plan(args, ws, "ns", "rta-test")
+
+
+# --------------------------------------------------------------------------------------------
+# The cluster division
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_division_refuses_where_the_build_api_is_absent() -> None:
+ from factory.cli.contained_k8s import _require_openshift
+
+ with patch("factory.contained.k8s_division.openshift_available", return_value=False):
+ with pytest.raises(k8s.ClusterError, match="build.openshift.io"):
+ _require_openshift(dry_run=False)
+
+
+def test_openshift_is_detected_by_api_not_by_the_oc_binary() -> None:
+ argv = k8s.build_api_resources_argv("build.openshift.io")
+ assert "api-resources" in argv
+ assert "build.openshift.io" in argv
+ assert k8s_division.openshift_available(lambda a: _completed("builds\nbuildconfigs")) is True
+ assert k8s_division.openshift_available(lambda a: _completed("", returncode=1)) is False
+
+
+def test_the_sidecar_is_a_separate_container(tmp_path: Path) -> None:
+ doc = yaml.safe_load(render_pod(_plan(tmp_path, division=True)))
+ names = [c["name"] for c in doc["spec"]["containers"]]
+ assert names == [FACTORY_CONTAINER, SIDECAR_CONTAINER]
+ sidecar = doc["spec"]["containers"][1]
+ # It shares the workspace and nothing else; the agent's container has no route into it.
+ assert sidecar["volumeMounts"][0]["mountPath"] == WORKSPACE_ROOT
+
+
+def test_the_agent_gets_both_servers_and_the_brief(tmp_path: Path) -> None:
+ plan = _plan(tmp_path, division=True)
+ assert "kubernetes-mcp-server" in plan.run_command
+ assert k8s_division.SERVER_PATH in plan.run_command
+ assert k8s_division.DIVISION_BRIEF_PATH in plan.run_command
+
+
+def test_the_cluster_credential_source_is_explicit_not_auto_detected() -> None:
+ """An agent silently sitting in a needs-auth state looks identical to one with broken tools."""
+ config = k8s_division.mcp_config("ns")
+ kubernetes = config["mcpServers"][k8s_division.MCP_CLUSTER_SERVER]
+ assert "--namespace" in kubernetes["args"] and "ns" in kubernetes["args"]
+ assert "env" in kubernetes
+
+
+def test_the_build_server_holds_no_credentials_and_speaks_to_no_cluster() -> None:
+ source = k8s_division.start_build_server_source()
+ assert "oc " not in source
+ assert "kubectl" not in source
+ assert "start_build" in source
+ # It is a file drop onto the shared volume; the sidecar is the only thing that builds.
+ assert k8s_division.REQUEST_DIR in source
+ assert k8s_division.RESULT_DIR in source
+
+
+def test_the_build_server_is_a_valid_python_module() -> None:
+ import ast
+
+ ast.parse(k8s_division.start_build_server_source())
+
+
+def test_the_brief_tells_the_agent_it_cannot_exec_and_must_label() -> None:
+ brief = k8s_division.division_files("ns", "rta-test")[k8s_division.DIVISION_BRIEF_PATH]
+ assert "not things to build" in brief
+ assert "cannot exec into other pods" in brief
+ assert "factory.run: rta-test" in brief
+ assert k8s_division.INTERNAL_REGISTRY in brief
+
+
+def test_the_sweep_selects_by_the_run_label_only() -> None:
+ argv = k8s_division.sweep_argv("ns", "rta-test")
+ assert "delete" in argv and "pods" in argv
+ assert "factory.run=rta-test" in argv
+ # ImageStreams are deliberately not swept — they retain the tags the build produced.
+ assert "imagestream" not in " ".join(argv)
+
+
+def test_the_verdict_comes_from_the_build_phase_not_an_exit_code() -> None:
+ """`oc start-build --follow` exits 0 for a build that failed — observed directly, and a false
+ success is the worst answer here because the agent goes on to validate an image that was never
+ produced."""
+ command = k8s_division.sidecar_command()
+ assert "status.phase" in command
+ assert '"$phase" = "Complete"' in command
+ # The exit code of start-build is explicitly not what decides.
+ assert 'echo "$?" >' not in command
+
+
+def test_the_containerfile_path_is_patched_onto_the_buildconfig() -> None:
+ """Binary builds reject build args, so --build-arg DOCKERFILE= silently did nothing and the
+ build looked for a file named Dockerfile that was not there."""
+ command = k8s_division.sidecar_command()
+ assert "dockerfilePath" in command
+ assert "--build-arg" not in command
+
+
+def test_the_build_context_is_the_project_directory(tmp_path: Path) -> None:
+ """A relative COPY in the agent's Containerfile must resolve the way it does on a laptop."""
+ plan = _plan(tmp_path)
+ assert "FACTORY_BUILD_CONTEXT" in render_pod(plan)
+ assert plan.project_dir in render_pod(plan)
+ assert '"$FACTORY_BUILD_CONTEXT"' in k8s_division.sidecar_command()
+
+
+def test_the_sidecar_runs_a_different_image_from_the_agent(tmp_path: Path) -> None:
+ """It is the only holder of `oc`; the runtime image deliberately has none. One image for both
+ collapses the boundary — and fails at the first build with `oc: command not found`."""
+ doc = yaml.safe_load(render_pod(_plan(tmp_path)))
+ agent = next(c for c in doc["spec"]["containers"] if c["name"] == FACTORY_CONTAINER)
+ sidecar = next(c for c in doc["spec"]["containers"] if c["name"] == SIDECAR_CONTAINER)
+ assert sidecar["image"] != agent["image"]
+ assert "cli" in sidecar["image"]
+
+
+def test_the_sidecar_needs_no_jq_or_python() -> None:
+ """Its image is an `oc` image, which carries neither."""
+ command = k8s_division.sidecar_command()
+ assert "jq " not in command
+ assert "python" not in command
+ assert "sed -n" in command
diff --git a/tests/test_contained_k8s_helpers.py b/tests/test_contained_k8s_helpers.py
new file mode 100644
index 000000000..57d3b0b47
--- /dev/null
+++ b/tests/test_contained_k8s_helpers.py
@@ -0,0 +1,98 @@
+"""Small cluster-side helpers whose failure directions are otherwise unexercised.
+
+The interactive walk's keypress branches matter more than their size suggests: Escape and Enter are
+the two keys a user presses when they want *out*, and reading either as "apply" would apply RBAC to
+a cluster the user had already decided against.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import patch
+
+from factory.contained import k8s_review, style
+from factory.contained.k8s_division import openshift_available
+
+
+# --------------------------------------------------------------------------------------------
+# Detecting the OpenShift Build API
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_cluster_serving_builds_is_available() -> None:
+ result = subprocess.CompletedProcess([], 0, "builds build.openshift.io/v1 Build", "")
+ assert openshift_available(runner=lambda argv: result) is True
+
+
+def test_a_cluster_that_answers_without_builds_is_not_available() -> None:
+ """Detected by API presence, not by the `oc` binary: `oc` against a vanilla cluster works fine
+ for everything except the one thing the division needs."""
+ result = subprocess.CompletedProcess([], 0, "", "")
+ assert openshift_available(runner=lambda argv: result) is False
+
+
+def test_an_unreachable_cluster_is_not_available_rather_than_an_exception() -> None:
+ """This runs at launch, before anything is provisioned; a traceback there names nothing."""
+
+ def _raise(argv: list[str]) -> subprocess.CompletedProcess[str]:
+ raise FileNotFoundError("oc")
+
+ assert openshift_available(runner=_raise) is False
+
+
+def test_a_cluster_query_that_times_out_is_not_available() -> None:
+ def _raise(argv: list[str]) -> subprocess.CompletedProcess[str]:
+ raise subprocess.TimeoutExpired(cmd="oc", timeout=60)
+
+ assert openshift_available(runner=_raise) is False
+
+
+# --------------------------------------------------------------------------------------------
+# The review walk's keypress handling
+# --------------------------------------------------------------------------------------------
+
+
+def test_escape_stops_the_walk_without_applying_anything() -> None:
+ """Escape is what a user presses to get out. Reading it as anything else applies RBAC they had
+ just decided against."""
+ with patch.object(style, "read_key", return_value=style.ESCAPE):
+ assert k8s_review._ask(1, 3) == "q"
+
+
+def test_enter_skips_this_object_rather_than_applying_it() -> None:
+ """The prompt says "Enter = skip", and the safe default for an apply is not to."""
+ with patch.object(style, "read_key", return_value="\r"):
+ assert k8s_review._ask(1, 3) == "n"
+
+
+def test_an_arrow_key_is_ignored_and_the_question_is_asked_again() -> None:
+ """An escape *sequence* arrives as an empty read; treating it as an answer would apply or skip
+ on a cursor key."""
+ with patch.object(style, "read_key", side_effect=["", "y"]):
+ assert k8s_review._ask(1, 3) == "y"
+
+
+def test_an_unrecognised_key_shows_the_options_rather_than_choosing_one() -> None:
+ with patch.object(style, "read_key", side_effect=["z", "a"]):
+ assert k8s_review._ask(1, 3) == "a"
+
+
+def test_a_diff_that_cannot_be_run_is_reported_as_unknown_not_as_current() -> None:
+ """ "Unknown" prompts the user; "current" silently skips an object the cluster may not have."""
+ from factory.contained.bundle import BundleObject
+
+ obj = BundleObject(
+ kind="role",
+ name="factory",
+ purpose="lets the run manage its own pod",
+ manifest="kind: Role\n",
+ )
+ with patch(
+ "factory.contained.k8s_review._run",
+ side_effect=[
+ subprocess.CompletedProcess([], 0, "", ""), # `get` — the object exists
+ None, # `diff` — could not run
+ ],
+ ):
+ state = k8s_review._inspect_one(obj, "ns", "oc")
+ assert state.status == k8s_review.UNKNOWN
diff --git a/tests/test_contained_k8s_launch.py b/tests/test_contained_k8s_launch.py
new file mode 100644
index 000000000..63cdc7932
--- /dev/null
+++ b/tests/test_contained_k8s_launch.py
@@ -0,0 +1,569 @@
+"""The cluster launch sequence: materialize, scan, pack, provision, assert, start.
+
+The ordering is the safety property. The secret scan gates the upload, and the provenance probes
+gate the first agent call — a run that reaches the factory with a filtered workspace has already
+spent the upload. So the assertions here are mostly about *when* a step runs relative to the others,
+not only that it runs.
+
+Nothing here may touch a cluster. Every `oc`/`kubectl` seam is patched at the name
+`factory.cli.contained_k8s` imported it under, plus `subprocess.run` inside the module for the two
+places it shells out directly.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import subprocess
+import tarfile
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.cli import contained as cli
+from factory.cli import contained_k8s
+from factory.cli.contained_k8s import (
+ PACK_EXCLUDES,
+ _build_pod_plan,
+ _pack,
+ _provision,
+ _require_openshift,
+ _scan_and_confirm,
+ _start,
+ run_k8s,
+)
+from factory.contained.k8s import ClusterError, PodPlan
+from factory.contained.secrets import Finding, ScanResult
+from factory.contained.workspace import Workspace, plan_workspace
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+@pytest.fixture(autouse=True)
+def _no_cluster() -> None:
+ """No test in this file is allowed to reach a cluster or a real kubeconfig.
+
+ `_build_pod_plan` reads the namespace's allocated fsGroup range and the credential Secret's key
+ names; both are live `oc get` calls on a machine that is logged in. On a slow or unreachable
+ cluster that is a 30-second timeout per test.
+ """
+ with patch("factory.cli.contained_k8s.namespace_fs_group", return_value=None), \
+ patch("factory.cli.contained_k8s.secret_keys", return_value=set()), \
+ patch("factory.contained.k8s.cli_binary", return_value="oc"), \
+ patch("factory.contained.k8s._run", return_value=_completed("")):
+ yield # type: ignore[misc]
+
+
+@pytest.fixture()
+def project(tmp_path: Path) -> Path:
+ path = tmp_path / "rta"
+ path.mkdir()
+ (path / "README.md").write_text("# rta\n")
+ return path
+
+
+@pytest.fixture()
+def contained_root(tmp_path: Path):
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+def _args(argv: list[str]) -> argparse.Namespace:
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(["contained", *argv])
+ cli.interpret(cli._PARSER, args)
+ return args
+
+
+def _workspace(project: Path, contained_root: Path) -> Workspace:
+ """The workspace `materialize` would have produced, with the copy actually on disk."""
+ ws = plan_workspace(project, "rta-abc123", self_contained=True)
+ ws.path.mkdir(parents=True, exist_ok=True)
+ (ws.path / "README.md").write_text("# rta\n")
+ return ws
+
+
+def _plan(project: Path, contained_root: Path, **overrides: object) -> PodPlan:
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ for key, value in overrides.items():
+ setattr(args, key, value)
+ return _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+
+
+# --------------------------------------------------------------------------------------------
+# The plan: what crosses into the pod manifest, and what is only warned about
+# --------------------------------------------------------------------------------------------
+
+
+def test_forwarding_a_variable_that_is_not_set_fails_before_anything_is_uploaded(
+ project: Path, contained_root: Path
+) -> None:
+ """`--forward` names a variable the user believes is exported. Discovering it is not, after a
+ workspace has crossed the network, wastes the upload and reads as a cluster fault."""
+ from factory.contained.errors import ContainedError
+
+ args = _args([
+ "--target", "k8s", "--namespace", "ns", "--forward", "NOT_SET_ANYWHERE",
+ "--", "ceo", str(project),
+ ])
+ with patch.dict(os.environ, {}, clear=False):
+ os.environ.pop("NOT_SET_ANYWHERE", None)
+ with pytest.raises(ContainedError, match="NOT_SET_ANYWHERE"):
+ _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+
+
+def test_a_forwarded_variable_reaches_the_pod_environment(
+ project: Path, contained_root: Path
+) -> None:
+ args = _args([
+ "--target", "k8s", "--namespace", "ns", "--forward", "FORWARDED_MARKER",
+ "--", "ceo", str(project),
+ ])
+ with patch.dict(os.environ, {"FORWARDED_MARKER": "yes"}, clear=False):
+ plan = _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+ assert plan.env["FORWARDED_MARKER"] == "yes"
+
+
+def test_a_credential_looking_variable_warns_that_the_manifest_is_readable(
+ project: Path, contained_root: Path
+) -> None:
+ """Pod env lands in the manifest, visible to anyone who can read pods in the namespace. The
+ Secret is the supported route, so forwarding a key is a warning rather than a silent success."""
+ args = _args([
+ "--target", "k8s", "--namespace", "ns", "--env", "SOME_API_KEY=sk-live-1234",
+ "--", "ceo", str(project),
+ ])
+ plan = _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+ assert any("visible to anyone who can read pods" in w for w in plan.warnings)
+ assert "sk-live-1234" not in " ".join(plan.warnings)
+
+
+def test_a_google_credential_in_the_secret_becomes_a_file_path_not_a_value(
+ project: Path, contained_root: Path
+) -> None:
+ """ADC has to arrive as a *file*, so the launch has to know one is there — by key name only.
+ The value never leaves the cluster."""
+ from factory.contained.k8s import ADC_PATH, ADC_SECRET_KEY
+
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.secret_keys", return_value={ADC_SECRET_KEY}):
+ plan = _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+ assert plan.adc is True
+ assert plan.env["GOOGLE_APPLICATION_CREDENTIALS"] == ADC_PATH
+
+
+def test_a_vertex_payload_without_an_explicit_model_carries_the_quota_warning(
+ project: Path, contained_root: Path
+) -> None:
+ """A model whose per-minute quota is zero 429s every call, which reads as a network fault."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch.dict(os.environ, {
+ "CLAUDE_CODE_USE_VERTEX": "1",
+ "CLOUD_ML_REGION": "us-east5",
+ "ANTHROPIC_VERTEX_PROJECT_ID": "p",
+ }, clear=False):
+ plan = _build_pod_plan(args, _workspace(project, contained_root), "ns", "rta-abc123")
+ assert any("--model" in w for w in plan.warnings)
+
+
+def test_the_payloads_project_path_is_rewritten_to_the_pods_workspace(
+ project: Path, contained_root: Path
+) -> None:
+ """Unlike the local target this is not path-preserving — nothing outside the pod resolves it."""
+ plan = _plan(project, contained_root)
+ assert plan.project_dir.endswith("/rta")
+ assert str(project) not in plan.factory_command
+ assert plan.project_dir in plan.factory_command
+
+
+# --------------------------------------------------------------------------------------------
+# The division refuses at launch when the cluster cannot serve it
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_division_is_refused_on_a_cluster_without_the_build_api() -> None:
+ """A run that gets as far as submitting a Build the cluster will never admit has already spent
+ a workspace upload and a pod start."""
+ with patch("factory.contained.k8s_division.openshift_available", return_value=False):
+ with pytest.raises(ClusterError, match="build.openshift.io"):
+ _require_openshift(dry_run=False)
+
+
+def test_the_division_is_allowed_on_a_cluster_that_serves_builds() -> None:
+ with patch("factory.contained.k8s_division.openshift_available", return_value=True):
+ _require_openshift(dry_run=False)
+
+
+def test_a_division_run_is_refused_before_the_workspace_is_materialized(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The refusal is worth nothing if it lands after the copy — that is the expensive step."""
+ args = _args([
+ "--target", "k8s", "--namespace", "ns", "--division", "--", "ceo", str(project),
+ ])
+ with patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.contained.k8s_division.openshift_available", return_value=False), \
+ patch("factory.cli.contained_k8s.materialize") as materialize:
+ assert run_k8s(args) == 2
+ materialize.assert_not_called()
+ assert "build.openshift.io" in capsys.readouterr().err
+
+
+def test_dry_run_does_not_ask_the_cluster_whether_it_serves_builds() -> None:
+ """Composing a command must not require a reachable cluster."""
+ with patch("factory.contained.k8s_division.openshift_available") as probe:
+ _require_openshift(dry_run=True)
+ probe.assert_not_called()
+
+
+# --------------------------------------------------------------------------------------------
+# The secret scan gates the upload
+# --------------------------------------------------------------------------------------------
+
+
+def test_findings_block_the_upload_when_nobody_can_answer(
+ project: Path, contained_root: Path
+) -> None:
+ """Non-interactive with findings and no `--yes` must refuse, not hang and not proceed."""
+ ws = _workspace(project, contained_root)
+ result = ScanResult(scanned=True, findings=(Finding(".env", 1, "generic", "key"),), detail="1")
+ with patch("factory.cli.contained_k8s.scan", return_value=result), \
+ patch("sys.stdin.isatty", return_value=False):
+ assert _scan_and_confirm(ws, assume_yes=False) is False
+
+
+def test_yes_overrides_findings_and_is_recorded(project: Path, contained_root: Path) -> None:
+ ws = _workspace(project, contained_root)
+ result = ScanResult(scanned=True, findings=(Finding(".env", 1, "generic", "key"),), detail="1")
+ with patch("factory.cli.contained_k8s.scan", return_value=result):
+ assert _scan_and_confirm(ws, assume_yes=True) is True
+
+
+def test_a_refused_scan_stops_the_run_before_the_pod_exists(
+ project: Path, contained_root: Path
+) -> None:
+ """The whole point of scanning is that nothing leaves the machine first — so a refusal must
+ happen before the PVC and the pod are applied, not after."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.materialize",
+ return_value=_workspace(project, contained_root)), \
+ patch("factory.cli.contained_k8s._scan_and_confirm", return_value=False), \
+ patch("factory.cli.contained_k8s._pack") as pack, \
+ patch("factory.cli.contained_k8s.apply_manifest") as apply:
+ assert run_k8s(args) == 1
+ pack.assert_not_called()
+ apply.assert_not_called()
+
+
+# --------------------------------------------------------------------------------------------
+# Packing
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_tarball_unpacks_under_the_projects_own_name(
+ project: Path, contained_root: Path
+) -> None:
+ """Packed as `<project>/...` rather than `./...` so it lands at `/workspace/<project>`, the
+ path the working directory, the rewritten payload and the probes already agree on."""
+ ws = _workspace(project, contained_root)
+ tarball = _pack(ws, "rta-abc123")
+ with tarfile.open(tarball) as archive:
+ names = archive.getnames()
+ assert all(name == "rta" or name.startswith("rta/") for name in names)
+
+
+def test_host_shaped_directories_are_never_packed(project: Path, contained_root: Path) -> None:
+ """An arm64 .venv unpacked onto an amd64 node is actively wrong, not merely wasteful."""
+ ws = _workspace(project, contained_root)
+ (ws.path / ".venv" / "lib").mkdir(parents=True)
+ (ws.path / ".venv" / "lib" / "x.so").write_text("binary")
+ tarball = _pack(ws, "rta-abc123")
+ with tarfile.open(tarball) as archive:
+ names = archive.getnames()
+ assert not any(".venv" in name for name in names)
+ assert "rta/README.md" in names
+
+
+def test_git_is_packed_because_the_pod_has_no_host_to_point_at(
+ project: Path, contained_root: Path
+) -> None:
+ """Without `.git` the pod reports no_repo, the CEO silently drops to build mode, and the
+ eventual error names a flag several steps from the cause."""
+ assert ".git" not in PACK_EXCLUDES
+ ws = _workspace(project, contained_root)
+ (ws.path / ".git").mkdir()
+ (ws.path / ".git" / "HEAD").write_text("ref: refs/heads/main\n")
+ tarball = _pack(ws, "rta-abc123")
+ with tarfile.open(tarball) as archive:
+ assert "rta/.git/HEAD" in archive.getnames()
+
+
+# --------------------------------------------------------------------------------------------
+# Provisioning: the identifier is printed before any long-running work
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_run_identifier_is_printed_before_the_upload_blocks(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """A run whose name the user cannot see is a run they cannot manage — and the upload is the
+ long step."""
+ plan = _plan(project, contained_root)
+ order: list[str] = []
+ with patch("factory.cli.contained_k8s.apply_manifest"), \
+ patch("factory.cli.contained_k8s.wait_for_container", return_value="running"), \
+ patch("factory.cli.contained_k8s.stream_workspace",
+ side_effect=lambda *a: order.append("upload")):
+ _provision(plan, Path("/tmp/upload.tar.gz"))
+ printed = capsys.readouterr().out
+ assert plan.name in printed
+ assert order == ["upload"]
+
+
+def test_a_loader_that_already_finished_does_not_re_upload(
+ project: Path, contained_root: Path
+) -> None:
+ """The unpack marker is per-run, so a terminated loader means this run's files are already
+ there — a pod restart after a successful upload, never a previous run's stale tree."""
+ plan = _plan(project, contained_root)
+ with patch("factory.cli.contained_k8s.apply_manifest"), \
+ patch("factory.cli.contained_k8s.wait_for_container", return_value="terminated"), \
+ patch("factory.cli.contained_k8s.stream_workspace") as upload:
+ _provision(plan, Path("/tmp/upload.tar.gz"))
+ upload.assert_not_called()
+
+
+def test_the_claim_is_applied_before_the_pod_that_mounts_it(
+ project: Path, contained_root: Path
+) -> None:
+ plan = _plan(project, contained_root)
+ applied: list[str] = []
+ with patch("factory.cli.contained_k8s.apply_manifest",
+ side_effect=lambda manifest, ns: applied.append(manifest.split("kind: ")[1][:30])), \
+ patch("factory.cli.contained_k8s.wait_for_container", return_value="running"), \
+ patch("factory.cli.contained_k8s.stream_workspace"):
+ _provision(plan, Path("/tmp/upload.tar.gz"))
+ assert applied[0].startswith("PersistentVolumeClaim")
+ assert applied[1].startswith("Pod")
+
+
+# --------------------------------------------------------------------------------------------
+# Starting: provenance first, then the collision check, then tmux
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_failed_provenance_assertion_stops_before_the_factory_starts(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The packer copies what it is told, so the filtered-transfer trap a bind mount removed
+ locally is live here — and it has to be caught before the first agent call spends tokens."""
+ plan = _plan(project, contained_root)
+ ws = _workspace(project, contained_root)
+ with patch("factory.cli.contained_k8s.subprocess.run",
+ return_value=_completed("", returncode=1)) as run:
+ assert _start(plan, ws, project) == 1
+ err = capsys.readouterr().err
+ assert "assertion" in err
+ # The pod is deliberately left up, and the message says how to look inside it.
+ assert f"oc exec -it {plan.name}" in err
+ # One failing probe is enough; nothing else is attempted.
+ assert run.call_count == 1
+
+
+def test_a_pod_already_running_a_session_is_named_as_the_same_run(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """`apply` is idempotent, so a re-invocation reuses the pod and the tmux launch collides. Raw,
+ that surfaces as "duplicate session: factory", which names tmux for "you already have this
+ run"."""
+ plan = _plan(project, contained_root)
+ ws = _workspace(project, contained_root)
+ with patch("factory.cli.contained_k8s.subprocess.run", return_value=_completed()):
+ assert _start(plan, ws, project) == 1
+ err = capsys.readouterr().err
+ assert "already running a session" in err
+ assert "tmux" not in err
+
+
+def test_a_successful_start_prints_attach_sync_and_logs(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ plan = _plan(project, contained_root)
+ ws = _workspace(project, contained_root)
+ calls: list[list[str]] = []
+
+ def _fake(argv: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ calls.append(argv)
+ # Probes succeed; `tmux has-session` must report "no session" so the launch proceeds.
+ return _completed("", returncode=1 if "has-session" in argv else 0)
+
+ with patch("factory.cli.contained_k8s.subprocess.run", side_effect=_fake):
+ assert _start(plan, ws, project) == 0
+ out = capsys.readouterr().out
+ assert "attach:" in out and "result:" in out and "logs:" in out
+ assert any("new-session" in " ".join(argv) for argv in calls)
+
+
+def test_a_launch_that_fails_reports_the_clusters_own_error(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ plan = _plan(project, contained_root)
+ ws = _workspace(project, contained_root)
+
+ def _fake(argv: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ if "has-session" in argv:
+ return _completed("", returncode=1)
+ if "new-session" in " ".join(argv):
+ return _completed("", returncode=1, stderr="no tmux in this image")
+ return _completed()
+
+ with patch("factory.cli.contained_k8s.subprocess.run", side_effect=_fake):
+ assert _start(plan, ws, project) == 1
+ assert "no tmux in this image" in capsys.readouterr().err
+
+
+# --------------------------------------------------------------------------------------------
+# Dry run
+# --------------------------------------------------------------------------------------------
+
+
+def test_dry_run_prints_the_manifests_and_provisions_nothing(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.dry_run_enabled", return_value=True), \
+ patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.materialize") as materialize, \
+ patch("factory.cli.contained_k8s.apply_manifest") as apply, \
+ patch("factory.cli.contained_k8s.subprocess.run", wraps=subprocess.run) as run:
+ assert run_k8s(args) == 0
+ materialize.assert_not_called()
+ apply.assert_not_called()
+ # A read-only `git rev-parse` is the one filesystem interaction dry-run keeps — it decides
+ # worktree vs. copy and changes nothing. Nothing may reach a cluster or a container engine.
+ assert not [c for c in run.call_args_list if c.args[0][0] in ("oc", "kubectl", "podman")]
+ out = capsys.readouterr().out
+ assert "DRY RUN" in out
+ assert "kind: PersistentVolumeClaim" in out
+ assert "kind: Pod" in out
+ assert "[upload]" in out and "[run]" in out
+
+
+def test_dry_run_creates_no_workspace_on_disk(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """`plan_workspace` rather than `materialize`: composing a command must not rsync a tree."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.dry_run_enabled", return_value=True), \
+ patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"):
+ assert run_k8s(args) == 0
+ assert not contained_root.exists()
+
+
+def test_an_unresolvable_namespace_is_reported_not_raised(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """`resolve_namespace` raises `ClusterError`, a `ContainedError`; the CLI turns that into an
+ exit code and a message rather than a traceback."""
+ args = _args(["--target", "k8s", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.resolve_namespace",
+ side_effect=ClusterError("no namespace given")):
+ assert run_k8s(args) == 2
+ assert "no namespace given" in capsys.readouterr().err
+
+
+def test_a_payload_naming_no_project_is_rejected_before_a_namespace_is_resolved(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "backlog-list"])
+ with patch("factory.cli.contained_k8s.resolve_namespace") as resolve:
+ assert run_k8s(args) == 2
+ resolve.assert_not_called()
+ assert "no existing directory" in capsys.readouterr().err
+
+
+def test_a_cluster_error_during_provisioning_exits_one_not_two(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """Exit 2 means "you asked for something impossible"; 1 means "the cluster said no". A wrapper
+ that retries on 1 and gives up on 2 depends on the difference."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--yes", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.materialize",
+ return_value=_workspace(project, contained_root)), \
+ patch("factory.cli.contained_k8s._scan_and_confirm", return_value=True), \
+ patch("factory.cli.contained_k8s.apply_manifest",
+ side_effect=ClusterError("forbidden: cannot create pods")):
+ assert run_k8s(args) == 1
+ assert "forbidden" in capsys.readouterr().err
+
+
+def test_a_successful_launch_records_that_this_machine_uses_the_cluster(
+ project: Path, contained_root: Path
+) -> None:
+ """`ls` only reaches for a cluster the user has actually used; the launch is what records it."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--yes", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.materialize",
+ return_value=_workspace(project, contained_root)), \
+ patch("factory.cli.contained_k8s._scan_and_confirm", return_value=True), \
+ patch("factory.cli.contained_k8s._pack", return_value=Path("/tmp/x.tar.gz")), \
+ patch("factory.cli.contained_k8s._provision"), \
+ patch("factory.cli.contained_k8s._start", return_value=0):
+ assert run_k8s(args) == 0
+ from factory.contained.usage import uses
+
+ assert uses("k8s")
+
+
+def test_the_growth_context_warning_reaches_the_cluster_path(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """Scores computed in a pod without this context are not comparable to host scores, and the
+ operator needs to know that before comparing them."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.dry_run_enabled", return_value=True), \
+ patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.growth_context_warning", return_value="scores differ"):
+ assert run_k8s(args) == 0
+ assert "Warning: scores differ" in capsys.readouterr().err
+
+
+def test_an_absent_growth_warning_does_not_swallow_the_plans_own_warnings(
+ project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The two sources are concatenated, so a `None` in the middle must be skipped rather than
+ ending the list — that would drop every warning the plan itself raised."""
+ args = _args(["--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)])
+ with patch("factory.cli.contained_k8s.dry_run_enabled", return_value=True), \
+ patch("factory.cli.contained_k8s.resolve_namespace", return_value="ns"), \
+ patch("factory.cli.contained_k8s.growth_context_warning", return_value=None), \
+ patch.dict(os.environ, {
+ "CLAUDE_CODE_USE_VERTEX": "1",
+ "CLOUD_ML_REGION": "us-east5",
+ "ANTHROPIC_VERTEX_PROJECT_ID": "p",
+ }, clear=False):
+ assert run_k8s(args) == 0
+ assert "--model" in capsys.readouterr().err
+
+
+def test_the_module_uses_the_same_tmux_launch_as_the_local_target(
+ project: Path, contained_root: Path
+) -> None:
+ """One composer for both targets: a session created differently in a pod is a session `attach`
+ cannot find."""
+ from factory.podman import build_tmux_launch
+
+ plan = _plan(project, contained_root)
+ assert contained_k8s._tmux_launch(plan) == build_tmux_launch(
+ plan.project_dir, plan.run_command
+ )
diff --git a/tests/test_contained_k8s_review.py b/tests/test_contained_k8s_review.py
new file mode 100644
index 000000000..0145c364c
--- /dev/null
+++ b/tests/test_contained_k8s_review.py
@@ -0,0 +1,354 @@
+"""The object-by-object review: what state each object is in, and what the walk does about it."""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained import k8s_review
+from factory.contained.bundle import BundleObject, bundle_objects, render_bundle
+from factory.contained.k8s_review import (
+ ABSENT,
+ CURRENT,
+ DIFFERS,
+ UNKNOWN,
+ ObjectState,
+ inspect_objects,
+ render_summary,
+ walk,
+)
+
+
+def _completed(stdout: str = "", returncode: int = 0, stderr: str = "") -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+def _obj(name: str = "factory") -> BundleObject:
+ return BundleObject(kind="serviceaccount", name=name, purpose="why it exists",
+ manifest="kind: ServiceAccount\n")
+
+
+def _state(status: str, name: str = "factory", diff: str = "") -> ObjectState:
+ return ObjectState(_obj(name), status, diff=diff, detail=status)
+
+
+# ---------------------------------------------------------------------------------------------
+# The bundle as a list, and as a blob
+# ---------------------------------------------------------------------------------------------
+
+
+def test_the_blob_and_the_list_describe_the_same_objects() -> None:
+ """`bundle` prints one and `setup` walks the other; they cannot be allowed to drift."""
+ import yaml
+
+ objects = bundle_objects(namespace="ns")
+ docs = [d for d in yaml.safe_load_all(render_bundle(namespace="ns")) if d]
+ assert len(objects) == len(docs)
+ assert [o.name for o in objects] == [d["metadata"]["name"] for d in docs]
+
+
+def test_every_object_explains_itself() -> None:
+ """A prompt asking to allow something into your namespace has to say what it is for."""
+ for obj in bundle_objects(namespace="ns", division=True):
+ assert len(obj.purpose) > 40, f"{obj.ref} has no usable explanation"
+
+
+# ---------------------------------------------------------------------------------------------
+# Establishing the current state
+# ---------------------------------------------------------------------------------------------
+
+
+def test_a_missing_object_is_absent_and_never_diffed() -> None:
+ with patch("factory.contained.k8s_review._run", return_value=_completed("", 1)) as run:
+ states = inspect_objects([_obj()], "ns", "oc")
+ assert states[0].status == ABSENT
+ # One call: `get`. Diffing something that does not exist wastes a round trip per object.
+ assert run.call_count == 1
+
+
+def test_an_object_that_matches_is_current() -> None:
+ with patch("factory.contained.k8s_review._run",
+ side_effect=[_completed("serviceaccount/factory"), _completed("", 0)]):
+ states = inspect_objects([_obj()], "ns", "oc")
+ assert states[0].status == CURRENT
+ assert not states[0].needs_action
+
+
+def test_an_object_that_differs_carries_its_diff() -> None:
+ with patch("factory.contained.k8s_review._run",
+ side_effect=[_completed("serviceaccount/factory"),
+ _completed("- verbs: [get]\n+ verbs: [get, list]\n", 1)]):
+ states = inspect_objects([_obj()], "ns", "oc")
+ assert states[0].status == DIFFERS
+ assert "verbs: [get, list]" in states[0].diff
+ assert states[0].needs_action
+
+
+def test_a_diff_that_failed_is_unknown_not_current() -> None:
+ """Exit 1 with nothing on stdout is a failure, and reading it as "no change" hides an object."""
+ with patch("factory.contained.k8s_review._run",
+ side_effect=[_completed("serviceaccount/factory"),
+ _completed("", 1, stderr="error: forbidden")]):
+ states = inspect_objects([_obj()], "ns", "oc")
+ assert states[0].status == UNKNOWN
+ assert states[0].needs_action # unknown is never silently skipped
+
+
+def test_an_unreachable_cluster_is_unknown_not_a_crash() -> None:
+ with patch("factory.contained.k8s_review._run", return_value=None):
+ states = inspect_objects([_obj()], "ns", "oc")
+ assert states[0].status == UNKNOWN
+
+
+# ---------------------------------------------------------------------------------------------
+# The summary
+# ---------------------------------------------------------------------------------------------
+
+
+def test_the_summary_counts_what_is_already_correct() -> None:
+ states = [_state(CURRENT, "a"), _state(CURRENT, "b"), _state(ABSENT, "c")]
+ rendered = render_summary(states, "ns")
+ assert "2 already correct" in rendered
+ # Every object appears, including the settled ones.
+ for name in ("a", "b", "c"):
+ assert f"serviceaccount/{name}" in rendered
+
+
+def test_a_namespace_that_needs_nothing_says_so() -> None:
+ rendered = render_summary([_state(CURRENT)], "ns")
+ assert "already in place" in rendered
+ assert "decision" not in rendered
+
+
+# ---------------------------------------------------------------------------------------------
+# The walk
+# ---------------------------------------------------------------------------------------------
+
+
+def _recorder(fail: set[str] | None = None):
+ """A stand-in for the real apply. Records what it was handed, in order."""
+ seen: list[str] = []
+
+ def apply(obj):
+ seen.append(obj.name)
+ if fail and obj.name in fail:
+ return False, "forbidden"
+ return True, f"{obj.ref} created"
+
+ return seen, apply
+
+
+def _walk(states, **kwargs):
+ seen, apply = _recorder(kwargs.pop("fail", None))
+ kwargs.setdefault("interactive", True)
+ kwargs.setdefault("assume_yes", False)
+ return walk(states, "ns", "oc", apply=apply, **kwargs), seen
+
+
+def test_nothing_pending_applies_nothing_and_asks_nothing() -> None:
+ with patch("builtins.input", side_effect=AssertionError("must not ask")):
+ result, applied = _walk([_state(CURRENT)])
+ assert applied == []
+ assert not result.changed_anything and not result.aborted
+
+
+def test_an_object_already_correct_is_never_asked_about() -> None:
+ """A prompt whose only sane answer is yes trains people to stop reading prompts."""
+ with patch("builtins.input", return_value="y") as ask:
+ result, applied = _walk([_state(CURRENT, "a"), _state(ABSENT, "b")])
+ assert ask.call_count == 1
+ assert applied == ["b"]
+
+
+def test_each_yes_applies_immediately_rather_than_at_the_end() -> None:
+ """Batching would mean a user who says yes twice and then stops is told nothing happened."""
+ order: list[str] = []
+
+ def apply(obj):
+ order.append(f"apply:{obj.name}")
+ return True, "created"
+
+ def answer(*_args, **_kwargs):
+ order.append("ask")
+ return "y"
+
+ with patch("builtins.input", side_effect=answer):
+ walk([_state(ABSENT, "a"), _state(ABSENT, "b")], "ns", "oc",
+ interactive=True, assume_yes=False, apply=apply)
+ # Every apply sits between the question that caused it and the next question.
+ assert order == ["ask", "apply:a", "ask", "apply:b"]
+
+
+def test_skipping_one_still_applies_the_rest() -> None:
+ with patch("builtins.input", side_effect=["y", "n", "y"]):
+ result, applied = _walk([_state(ABSENT, "a"), _state(ABSENT, "b"), _state(ABSENT, "c")])
+ assert applied == ["a", "c"]
+ assert [o.name for o in result.skipped] == ["b"]
+
+
+def test_all_applies_the_rest_without_asking_again() -> None:
+ with patch("builtins.input", side_effect=["a"]) as ask:
+ result, applied = _walk([_state(ABSENT, "a"), _state(ABSENT, "b"), _state(ABSENT, "c")])
+ assert ask.call_count == 1
+ assert applied == ["a", "b", "c"]
+
+
+def test_quitting_after_a_yes_admits_what_was_already_applied(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Reporting "nothing was applied" after a yes is the lie this design exists to remove."""
+ with patch("builtins.input", side_effect=["y", "q"]):
+ result, applied = _walk([_state(ABSENT, "a"), _state(ABSENT, "b")])
+ assert applied == ["a"]
+ assert result.aborted and result.changed_anything
+ printed = capsys.readouterr().out
+ assert "1 object(s) were applied before you stopped" in printed
+ assert "Nothing was applied" not in printed
+
+
+def test_quitting_before_any_yes_says_nothing_was_applied(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("builtins.input", side_effect=["q"]):
+ result, applied = _walk([_state(ABSENT, "a"), _state(ABSENT, "b")])
+ assert applied == []
+ assert result.aborted
+ assert "Nothing was applied" in capsys.readouterr().out
+
+
+def test_a_failed_apply_is_reported_and_does_not_stop_the_walk(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("builtins.input", return_value="y"):
+ result, applied = _walk(
+ [_state(ABSENT, "a"), _state(ABSENT, "b")], fail={"a"}
+ )
+ assert applied == ["a", "b"] # both were attempted
+ assert [o.name for o, _ in result.failed] == ["a"]
+ assert [o.name for o in result.applied] == ["b"]
+ assert "could not be applied" in capsys.readouterr().out
+
+
+def test_a_bare_enter_skips_rather_than_applies() -> None:
+ """The default has to be the one that changes nothing."""
+ with patch("builtins.input", return_value=""):
+ _result, applied = _walk([_state(ABSENT)])
+ assert applied == []
+
+
+def test_an_unrecognized_answer_re_asks_and_never_counts_as_yes() -> None:
+ with patch("builtins.input", side_effect=["maybe", "n"]) as ask:
+ _result, applied = _walk([_state(ABSENT)])
+ assert ask.call_count == 2
+ assert applied == []
+
+
+def test_a_closed_stdin_stops_rather_than_applying() -> None:
+ with patch("builtins.input", side_effect=EOFError):
+ result, applied = _walk([_state(ABSENT)])
+ assert applied == [] and result.aborted
+
+
+def test_escape_stops_the_walk() -> None:
+ """The key people reach for to back out has to do that, not insert `^[` into a line."""
+ from factory.contained import style
+
+ with patch("factory.contained.style.read_key", return_value=style.ESCAPE):
+ result, applied = _walk([_state(ABSENT), _state(ABSENT, "b")])
+ assert applied == [] and result.aborted
+
+
+def test_escape_typed_into_a_line_also_stops_the_walk() -> None:
+ """Where a single keypress cannot be read, Escape is still recognized as line content."""
+ with patch("factory.contained.style.read_key", return_value=None), \
+ patch("builtins.input", return_value="\x1b"):
+ result, applied = _walk([_state(ABSENT)])
+ assert applied == [] and result.aborted
+
+
+def test_a_single_keypress_needs_no_enter() -> None:
+ with patch("factory.contained.style.read_key", return_value="y"), \
+ patch("builtins.input", side_effect=AssertionError("must not need Enter")):
+ _result, applied = _walk([_state(ABSENT)])
+ assert applied == ["factory"]
+
+
+def test_an_arrow_key_is_ignored_rather_than_answered() -> None:
+ """An escape *sequence* is navigation, not a decision, and must not read as Escape."""
+ with patch("factory.contained.style.read_key", side_effect=["", "", "n"]) as key:
+ _result, applied = _walk([_state(ABSENT)])
+ assert key.call_count == 3
+ assert applied == []
+
+
+def test_the_prompt_spells_out_every_option() -> None:
+ with patch("factory.contained.style.read_key", return_value=None), \
+ patch("builtins.input", return_value="n") as ask:
+ _walk([_state(ABSENT)])
+ question = ask.call_args[0][0]
+ for spelled in ("[y]es", "[n]o", "[a]ll remaining", "[q]uit"):
+ assert spelled in question
+
+
+def test_yes_mode_applies_everything_pending_and_asks_nothing() -> None:
+ states = [_state(CURRENT, "a"), _state(ABSENT, "b"), _state(DIFFERS, "c")]
+ with patch("builtins.input", side_effect=AssertionError("must not ask")):
+ _result, applied = _walk(states, assume_yes=True)
+ assert applied == ["b", "c"]
+
+
+def test_progress_is_visible_on_every_item(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("builtins.input", side_effect=["y", "y", "y"]):
+ _walk([_state(ABSENT, "a"), _state(ABSENT, "b"), _state(ABSENT, "c")])
+ printed = capsys.readouterr().out
+ for position in ("1 of 3", "2 of 3", "3 of 3"):
+ assert position in printed
+
+
+def test_a_differing_object_shows_the_diff_not_the_manifest(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Against an existing object the manifest is mostly lines that are already true."""
+ with patch("builtins.input", return_value="n"):
+ _walk([_state(DIFFERS, diff="- verbs: [get]\n+ verbs: [get, list]\n")])
+ printed = capsys.readouterr().out
+ assert "verbs: [get, list]" in printed
+ assert "kind: ServiceAccount" not in printed
+
+
+def test_a_long_diff_is_trimmed_with_a_count(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("builtins.input", return_value="n"):
+ _walk([_state(DIFFERS, diff="\n".join(f"+ line {n}" for n in range(200)))])
+ printed = capsys.readouterr().out
+ assert "more line(s)" in printed
+ assert "+ line 199" not in printed
+
+
+def test_an_uncomparable_object_says_so_before_showing_the_manifest(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("builtins.input", return_value="n"):
+ _walk([_state(UNKNOWN)])
+ printed = capsys.readouterr().out
+ assert "could not be compared" in printed
+ assert "kind: ServiceAccount" in printed
+
+
+def test_diff_is_asked_of_the_cluster_not_computed_locally() -> None:
+ """A local comparison reads cluster-defaulted fields as changes the user is about to make."""
+ with patch("factory.contained.k8s_review._run",
+ side_effect=[_completed("serviceaccount/factory"), _completed("x", 1)]) as run:
+ inspect_objects([_obj()], "ns", "oc")
+ argv = run.call_args_list[1][0][0]
+ assert argv[:2] == ["oc", "diff"]
+ assert "-n" in argv and "ns" in argv
+ assert run.call_args_list[1][1]["stdin"] == "kind: ServiceAccount\n"
+
+
+def test_nothing_here_raises_on_a_broken_cli() -> None:
+ with patch("factory.contained.k8s_review.subprocess.run", side_effect=FileNotFoundError):
+ states = inspect_objects(bundle_objects(namespace="ns"), "ns", "oc")
+ assert all(s.status == UNKNOWN for s in states)
+ assert k8s_review is not None
diff --git a/tests/test_contained_lifecycle.py b/tests/test_contained_lifecycle.py
new file mode 100644
index 000000000..eecd780b6
--- /dev/null
+++ b/tests/test_contained_lifecycle.py
@@ -0,0 +1,711 @@
+"""`ls`, `attach`, `rm`, `sync` — and the label check that stands in front of all of them.
+
+Two properties are load-bearing and both are easy to break silently. A command must refuse a name
+the factory did not create, because a tool that acts on resources it did not make invites the user
+to assume it manages them. And "the container is running" is not "the run is running" — the
+container's PID 1 outlives the run on purpose, so the session is what answers the question a user
+actually asked.
+
+Every podman call is mocked. A leak here would be a live `podman ps` against the developer's engine.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import subprocess
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained import lifecycle
+from factory.contained.lifecycle import (
+ LifecycleError,
+ Runtime,
+ attach,
+ dispatch_lifecycle,
+ list_runtimes,
+ local_runtimes,
+ reap_stale,
+ remove,
+ render_table,
+ sync,
+ workspace_for,
+)
+from factory.podman import LABEL_CONTAINED, LABEL_NAME, LABEL_PROJECT, LABEL_SOURCE
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+def _entry(name: str = "rta-abc123", state: str = "running", **labels: str) -> dict[str, object]:
+ return {
+ "Names": [name],
+ "State": state,
+ "Created": 1_700_000_000,
+ "Labels": {LABEL_CONTAINED: "true", LABEL_PROJECT: "abc123", **labels},
+ }
+
+
+@pytest.fixture()
+def contained_root(tmp_path: Path):
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+@pytest.fixture(autouse=True)
+def _never_reach_a_cluster():
+ """`ls` with no target consults the cluster only when the machine has used one; these tests
+ must not depend on whether the developer's machine has."""
+ with patch("factory.contained.usage.uses", return_value=False):
+ yield # type: ignore[misc]
+
+
+def _args(**fields: object) -> argparse.Namespace:
+ return argparse.Namespace(**fields)
+
+
+# --------------------------------------------------------------------------------------------
+# Listing: only ours, and the run's state rather than the container's
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_container_without_the_factory_label_is_not_listed() -> None:
+ """`build_ps_argv` already filters on the label; this is the second, independent filter site,
+ and it is the one that survives someone loosening the first."""
+ entries = [_entry(), {"Names": ["someone-elses"], "State": "running", "Labels": {}}]
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps(entries))), \
+ patch("factory.contained.lifecycle._run_state", return_value="running"):
+ names = [r.name for r in local_runtimes()]
+ assert names == ["rta-abc123"]
+
+
+def test_a_running_container_whose_panes_are_all_dead_reports_finished() -> None:
+ """This is the case that tells a user a run is live and then gives them nothing to attach to."""
+ with patch("factory.contained.lifecycle.subprocess.run",
+ side_effect=[_completed(json.dumps([_entry()])), _completed("1\n")]):
+ assert local_runtimes()[0].state == "finished"
+
+
+def test_a_running_container_with_one_live_pane_reports_running() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run",
+ side_effect=[_completed(json.dumps([_entry()])), _completed("0\n1\n")]):
+ assert local_runtimes()[0].state == "running"
+
+
+def test_a_container_that_is_not_running_is_reported_as_podman_saw_it() -> None:
+ """No session probe is possible against a stopped container, and inventing one would report
+ `finished` for a container that never started."""
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps([_entry(state="exited")]))) as run:
+ assert local_runtimes()[0].state == "exited"
+ assert run.call_count == 1
+
+
+def test_a_session_probe_that_cannot_run_leaves_the_container_state_alone() -> None:
+ """Degrading to podman's own answer is honest; guessing `finished` is not."""
+ with patch("factory.contained.lifecycle.subprocess.run",
+ side_effect=[_completed(json.dumps([_entry()])),
+ subprocess.TimeoutExpired(cmd="podman", timeout=10)]):
+ assert local_runtimes()[0].state == "running"
+
+
+def test_no_tmux_session_at_all_reports_finished() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run",
+ side_effect=[_completed(json.dumps([_entry()])),
+ _completed("", returncode=1, stderr="no server")]):
+ assert local_runtimes()[0].state == "finished"
+
+
+def test_the_source_label_survives_into_the_listing() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps([_entry(state="exited", **{LABEL_SOURCE: "/x"})]))):
+ assert local_runtimes()[0].source == "/x"
+
+
+def test_a_missing_podman_binary_names_the_fix_rather_than_raising_oserror() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run", side_effect=FileNotFoundError):
+ with pytest.raises(LifecycleError, match="not installed"):
+ local_runtimes()
+
+
+def test_an_unreachable_engine_reports_only_the_first_line_of_its_error() -> None:
+ """podman's connection failure runs to five lines; a table with five lines of preamble in it
+ is not a table."""
+ stderr = "Error: unable to connect\nplease check\nthat the machine is running\n"
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=125, stderr=stderr)):
+ with pytest.raises(LifecycleError) as excinfo:
+ local_runtimes()
+ assert "unable to connect" in str(excinfo.value)
+ assert "please check" not in str(excinfo.value)
+
+
+def test_a_leading_blank_line_in_podmans_error_is_skipped() -> None:
+ """podman's connection failure routinely starts with a newline; reporting that as the error
+ gives the user a table with a blank note under it."""
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=125, stderr="\n\nError: unable to connect")):
+ with pytest.raises(LifecycleError, match="unable to connect"):
+ local_runtimes()
+
+
+def test_an_engine_failure_with_no_stderr_at_all_still_says_something() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=125)):
+ with pytest.raises(LifecycleError, match="no details given"):
+ local_runtimes()
+
+
+def test_output_that_is_not_json_is_reported_as_such() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run", return_value=_completed("not json")):
+ with pytest.raises(LifecycleError, match="isn't JSON"):
+ local_runtimes()
+
+
+def test_a_json_object_instead_of_a_list_is_an_empty_listing_not_a_crash() -> None:
+ with patch("factory.contained.lifecycle.subprocess.run", return_value=_completed("{}")):
+ assert local_runtimes() == []
+
+
+def test_an_explicit_local_target_surfaces_the_engine_failure() -> None:
+ """Asked for `local` specifically, "your engine is down" is the answer — not an empty table."""
+ with patch("factory.contained.lifecycle.local_runtimes",
+ side_effect=LifecycleError("cannot reach podman")):
+ with pytest.raises(LifecycleError):
+ list_runtimes("local")
+
+
+def test_an_unasked_for_local_failure_becomes_a_note_not_an_exception() -> None:
+ """`ls` spans both targets, so one broken target must not hide the other's runtimes."""
+ with patch("factory.contained.lifecycle.local_runtimes",
+ side_effect=LifecycleError("cannot reach podman")):
+ runtimes, notes, unconfigured = list_runtimes(None)
+ assert runtimes == []
+ assert notes and notes[0].startswith("local:")
+
+
+def test_an_explicit_cluster_target_surfaces_its_failure() -> None:
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[]), \
+ patch("factory.contained.k8s.cluster_runtimes",
+ side_effect=LifecycleError("cluster unreachable")):
+ with pytest.raises(LifecycleError):
+ list_runtimes("k8s")
+
+
+def test_a_cluster_the_user_has_used_but_cannot_reach_becomes_a_note() -> None:
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[]), \
+ patch("factory.contained.usage.uses", return_value=True), \
+ patch("factory.contained.k8s.has_cluster_context", return_value=True), \
+ patch("factory.contained.k8s.cluster_runtimes",
+ side_effect=LifecycleError("cluster unreachable")):
+ runtimes, notes, unconfigured = list_runtimes(None)
+ assert notes and notes[0].startswith("k8s:")
+ assert unconfigured == []
+
+
+def test_a_machine_with_no_kubeconfig_reports_the_cluster_unconfigured_not_broken() -> None:
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[]), \
+ patch("factory.contained.usage.uses", return_value=True), \
+ patch("factory.contained.k8s.has_cluster_context", return_value=False):
+ runtimes, notes, unconfigured = list_runtimes(None)
+ assert notes == []
+ assert unconfigured == ["k8s"]
+
+
+# --------------------------------------------------------------------------------------------
+# Rendering
+# --------------------------------------------------------------------------------------------
+
+
+def test_an_empty_fleet_suggests_how_to_start_one() -> None:
+ assert "factory contained -- ceo" in render_table([])
+
+
+def test_an_empty_fleet_with_a_note_does_not_claim_nothing_is_running() -> None:
+ """Reporting "no runtimes" for "could not reach the engine" tells a user their fleet is empty
+ when it is merely invisible."""
+ body = render_table([], notes=["local: cannot reach podman"])
+ assert "No contained runtimes" not in body
+ assert "cannot reach podman" in body
+
+
+def test_the_table_carries_name_target_project_age_and_state() -> None:
+ created = datetime.now(timezone.utc) - timedelta(hours=3)
+ table = render_table([
+ Runtime(name="rta-abc123", target="local", project="abc123", state="running",
+ created=created)
+ ])
+ assert "NAME" in table and "rta-abc123" in table and "3h" in table
+
+
+@pytest.mark.parametrize(
+ ("delta", "expected"),
+ [
+ (timedelta(minutes=7), "7m"),
+ (timedelta(hours=5), "5h"),
+ (timedelta(days=2), "2d"),
+ (timedelta(seconds=-30), "?"),
+ ],
+)
+def test_ages_are_rendered_at_one_significant_unit(delta: timedelta, expected: str) -> None:
+ """A clock skewed into the future renders `?` rather than a negative age — subtracting into a
+ negative would otherwise print something like `-1s`."""
+ created = datetime.now(timezone.utc) - delta
+ table = render_table([Runtime("n", "local", "p", "running", created=created)])
+ assert expected in table
+
+
+def test_an_age_under_a_minute_is_rendered_in_seconds() -> None:
+ created = datetime.now(timezone.utc) - timedelta(seconds=5)
+ table = render_table([Runtime("n", "local", "p", "running", created=created)])
+ # Not the exact number: a scheduling stall between these two `now()` calls would move it.
+ assert any(f"{n}s" in table for n in range(5, 15))
+
+
+def test_a_runtime_with_no_creation_time_renders_a_question_mark() -> None:
+ assert "?" in render_table([Runtime("n", "local", "p", "running")])
+
+
+def test_a_naive_timestamp_is_read_as_utc_rather_than_crashing_the_table() -> None:
+ """Subtracting a naive datetime from an aware one raises, and it would raise *inside* `ls` —
+ taking the whole listing down over one badly-formatted field."""
+ created = datetime.now(timezone.utc).replace(tzinfo=None) - timedelta(minutes=4)
+ assert "4m" in render_table([Runtime("n", "local", "p", "running", created=created)])
+
+
+# --------------------------------------------------------------------------------------------
+# Which states count as active — the guard in front of every destructive operation
+# --------------------------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("state", ["exited", "stopped", "created", "dead", "succeeded", "failed"])
+def test_terminal_states_are_inactive(state: str) -> None:
+ assert not Runtime("n", "local", "p", state).active
+
+
+@pytest.mark.parametrize("state", ["running", "Pending", "ContainerCreating", "", "something-new"])
+def test_anything_unrecognised_is_treated_as_active(state: str) -> None:
+ """The safe default for a check guarding a delete: a state we have never seen must not be read
+ as "nothing is happening"."""
+ assert Runtime("n", "local", "p", state).active
+
+
+# --------------------------------------------------------------------------------------------
+# attach
+# --------------------------------------------------------------------------------------------
+
+
+def test_attaching_to_a_name_the_factory_did_not_create_is_refused(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([], [], [])):
+ assert attach("someone-elses", "local") == 1
+ assert "not a runtime" in capsys.readouterr().err
+
+
+def test_attaching_to_a_stopped_container_points_at_the_workspace_instead(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The work is not lost when the container is — and that is the first thing the user wants."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])):
+ assert attach("rta-abc123", "local") == 1
+ err = capsys.readouterr().err
+ assert "sync rta-abc123" in err and "rm rta-abc123" in err
+
+
+def test_attaching_to_a_finished_run_offers_the_shell_and_the_sync(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The container is up but the session is gone. Raw tmux answers "no sessions", which is not
+ something a user can act on."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "finished")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])):
+ assert attach("rta-abc123", "local") == 1
+ err = capsys.readouterr().err
+ assert "podman exec -it rta-abc123" in err
+ assert "no sessions" not in err
+
+
+def test_attaching_locally_goes_through_tmux_in_the_container() -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "running")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.subprocess.call", return_value=0) as call:
+ assert attach("rta-abc123", "local") == 0
+ argv = call.call_args.args[0]
+ assert argv[:2] == ["podman", "exec"] and "tmux attach" in " ".join(argv)
+
+
+def test_attaching_to_a_pod_goes_through_the_cluster_exec() -> None:
+ runtime = Runtime("rta-abc123", "k8s", "abc123", "running")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.k8s.build_pod_attach_argv", return_value=["oc", "exec"]), \
+ patch("factory.contained.lifecycle.subprocess.call", return_value=0) as call:
+ assert attach("rta-abc123", "k8s", "ns") == 0
+ assert call.call_args.args[0] == ["oc", "exec"]
+
+
+# --------------------------------------------------------------------------------------------
+# rm
+# --------------------------------------------------------------------------------------------
+
+
+def test_removing_a_name_the_factory_did_not_create_is_refused() -> None:
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([], [], [])):
+ assert remove("someone-elses", "local", assume_yes=True) == 1
+
+
+def test_removing_an_active_runtime_non_interactively_refuses_rather_than_hanging(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ """An unanswerable prompt in a CI job is a hang, and a hang is worse than a refusal that names
+ the flag."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "running")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.subprocess.run") as run:
+ assert remove("rta-abc123", "local", assume_yes=False, interactive=False) == 1
+ run.assert_not_called()
+ assert "--yes" in capsys.readouterr().err
+
+
+def test_declining_the_prompt_leaves_the_runtime_alone(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "running")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("builtins.input", return_value="n"), \
+ patch("factory.contained.lifecycle.subprocess.run") as run:
+ assert remove("rta-abc123", "local", assume_yes=False, interactive=True) == 1
+ run.assert_not_called()
+ assert "was not deleted" in capsys.readouterr().err
+
+
+def test_confirming_the_prompt_removes_it(contained_root: Path) -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "running")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("builtins.input", return_value="yes"), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()), \
+ patch("factory.contained.division.stop_recorded", return_value=False):
+ assert remove("rta-abc123", "local", assume_yes=False, interactive=True) == 0
+
+
+def test_a_failed_removal_propagates_podmans_exit_code(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=2, stderr="container is in use")):
+ assert remove("rta-abc123", "local", assume_yes=True) == 2
+ assert "container is in use" in capsys.readouterr().err
+
+
+def test_removing_a_run_also_stops_the_host_side_division(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The division server is a host process the run depends on and is deliberately detached from
+ the command that started it, so nothing else ever ends it."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()), \
+ patch("factory.contained.division.stop_recorded", return_value=True) as stop:
+ assert remove("rta-abc123", "local", assume_yes=True) == 0
+ stop.assert_called_once_with("rta-abc123")
+ assert "division endpoint stopped" in capsys.readouterr().out
+
+
+def test_removing_a_run_says_the_work_survives_and_how_to_clean_up_the_repository(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """The copy is a git worktree registered in the user's own repo with its branch in their refs.
+ Deleting only the directory leaves a stale registration that blocks the next run of that name."""
+ from factory.contained.workspace import Workspace
+
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ ws = Workspace(source=Path("/src/rta"), path=Path("/copy/rta"), kind="worktree",
+ branch="contained/rta-abc123")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()), \
+ patch("factory.contained.division.stop_recorded", return_value=False), \
+ patch("factory.contained.lifecycle.workspace_for", return_value=ws):
+ assert remove("rta-abc123", "local", assume_yes=True) == 0
+ out = capsys.readouterr().out
+ assert "Your work is kept" in out
+ assert "worktree remove" in out and "branch -D contained/rta-abc123" in out
+
+
+def test_removing_a_pod_goes_through_the_cluster_remover() -> None:
+ runtime = Runtime("rta-abc123", "k8s", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.k8s.remove_cluster_runtime", return_value=0) as remover:
+ assert remove("rta-abc123", "k8s", "ns", assume_yes=True) == 0
+ remover.assert_called_once()
+
+
+# --------------------------------------------------------------------------------------------
+# reap_stale — the automatic path, which is allowed to be silent only when it is safe
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_stale_container_is_reaped_so_the_next_run_of_that_name_is_not_blocked() -> None:
+ """Otherwise every later invocation dies on a bare "name already in use" with nothing pointing
+ at how to get unstuck."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[runtime]), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()):
+ reaped, detail = reap_stale("rta-abc123")
+ assert reaped and "was exited" in detail
+
+
+def test_a_running_container_is_never_reaped_automatically() -> None:
+ """A name collision can equally mean "you meant to reattach"."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "running")
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[runtime]), \
+ patch("factory.contained.lifecycle.subprocess.run") as run:
+ reaped, detail = reap_stale("rta-abc123")
+ run.assert_not_called()
+ assert not reaped and "still active" in detail
+
+
+def test_a_container_the_factory_did_not_create_is_never_reaped() -> None:
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[]):
+ reaped, detail = reap_stale("someone-elses")
+ assert not reaped and "not a runtime" in detail
+
+
+def test_an_unreachable_engine_makes_reaping_report_rather_than_raise() -> None:
+ """The caller is already handling a failure; a second exception out of the cleanup path buries
+ the first."""
+ with patch("factory.contained.lifecycle.local_runtimes",
+ side_effect=LifecycleError("cannot reach podman")):
+ reaped, detail = reap_stale("rta-abc123")
+ assert not reaped and "cannot reach podman" in detail
+
+
+def test_a_failed_reap_says_so_rather_than_claiming_success() -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.local_runtimes", return_value=[runtime]), \
+ patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=2, stderr="in use")):
+ reaped, detail = reap_stale("rta-abc123")
+ assert not reaped and "in use" in detail
+
+
+# --------------------------------------------------------------------------------------------
+# workspace_for — recovering the source path from the copy, with no manifest
+# --------------------------------------------------------------------------------------------
+
+
+def _worktree_copy(contained_root: Path, pointer: str) -> Path:
+ path = contained_root / "rta-abc123" / "rta"
+ path.mkdir(parents=True)
+ (path / ".git").write_text(pointer)
+ return path
+
+
+def test_a_worktree_copy_yields_the_source_repository_and_its_branch(
+ contained_root: Path
+) -> None:
+ """Nothing persists a run-name-to-source-path manifest; the worktree's `.git` pointer is the
+ only record on disk, which is what makes `rm`'s "your work is kept" message possible."""
+ _worktree_copy(contained_root, "gitdir: /home/u/code/rta/.git/worktrees/rta-abc123\n")
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("contained/rta-abc123\n")):
+ ws = workspace_for("rta-abc123")
+ assert ws is not None
+ assert ws.source == Path("/home/u/code/rta")
+ assert ws.branch == "contained/rta-abc123"
+
+
+def test_no_directory_for_the_run_yields_nothing(contained_root: Path) -> None:
+ assert workspace_for("never-existed") is None
+
+
+def test_more_than_one_child_directory_is_ambiguous_and_yields_nothing(
+ contained_root: Path
+) -> None:
+ root = contained_root / "rta-abc123"
+ (root / "rta").mkdir(parents=True)
+ (root / "other").mkdir()
+ assert workspace_for("rta-abc123") is None
+
+
+def test_a_plain_copy_yields_nothing_because_no_source_path_is_recoverable(
+ contained_root: Path
+) -> None:
+ """A non-git source carries no pointer, and guessing a source path would send a user's `rsync
+ --merge` at the wrong tree."""
+ (contained_root / "rta-abc123" / "rta").mkdir(parents=True)
+ assert workspace_for("rta-abc123") is None
+
+
+def test_a_git_pointer_that_is_not_a_worktree_pointer_yields_nothing(
+ contained_root: Path
+) -> None:
+ _worktree_copy(contained_root, "gitdir: /home/u/code/rta/.git\n")
+ assert workspace_for("rta-abc123") is None
+
+
+def test_a_git_file_with_unexpected_contents_yields_nothing(contained_root: Path) -> None:
+ _worktree_copy(contained_root, "not a gitdir pointer\n")
+ assert workspace_for("rta-abc123") is None
+
+
+def test_a_git_pointer_that_cannot_be_read_yields_nothing(contained_root: Path) -> None:
+ _worktree_copy(contained_root, "gitdir: /home/u/code/rta/.git/worktrees/rta-abc123\n")
+ with patch("pathlib.Path.read_text", side_effect=OSError("permission denied")):
+ assert workspace_for("rta-abc123") is None
+
+
+def test_a_worktree_whose_branch_cannot_be_read_yields_nothing(contained_root: Path) -> None:
+ """`merge_hint` treats a falsy branch as a plain copy and prints an rsync merge for what is
+ actually a worktree — wrong guidance is worse than "not found"."""
+ _worktree_copy(contained_root, "gitdir: /home/u/code/rta/.git/worktrees/rta-abc123\n")
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed("", returncode=128)):
+ assert workspace_for("rta-abc123") is None
+
+
+# --------------------------------------------------------------------------------------------
+# sync
+# --------------------------------------------------------------------------------------------
+
+
+def test_syncing_a_name_the_factory_did_not_create_is_refused() -> None:
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([], [], [])):
+ assert sync("someone-elses", "local") == 1
+
+
+def test_syncing_a_local_run_says_the_work_is_already_here(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ """A bind mount, not a transfer — telling a user to "download" it would be a lie."""
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ from factory.contained.workspace import Workspace
+
+ ws = Workspace(source=Path("/src/rta"), path=Path("/copy/rta"), kind="worktree",
+ branch="contained/rta-abc123")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.lifecycle.workspace_for", return_value=ws):
+ assert sync("rta-abc123", "local") == 0
+ out = capsys.readouterr().out
+ assert "already on this machine" in out and "contained/rta-abc123" in out
+
+
+def test_syncing_a_run_whose_copy_is_gone_says_where_it_looked(
+ contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ runtime = Runtime("rta-abc123", "local", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])):
+ assert sync("rta-abc123", "local") == 1
+ assert str(contained_root) in capsys.readouterr().err
+
+
+def test_syncing_a_pod_goes_through_the_cluster_sync() -> None:
+ runtime = Runtime("rta-abc123", "k8s", "abc123", "exited")
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([runtime], [], [])), \
+ patch("factory.contained.k8s.sync_cluster_runtime", return_value=0) as syncer:
+ assert sync("rta-abc123", "k8s", "ns") == 0
+ syncer.assert_called_once()
+
+
+# --------------------------------------------------------------------------------------------
+# Dispatch
+# --------------------------------------------------------------------------------------------
+
+
+def test_ls_covers_both_targets_in_one_table(capsys: pytest.CaptureFixture[str]) -> None:
+ """A user asking "what is running?" should not have to ask it twice."""
+ with patch("factory.contained.lifecycle.list_runtimes", return_value=([], [], [])) as lister:
+ assert dispatch_lifecycle(_args(subcommand="ls", target="k8s", namespace=None)) == 0
+ assert lister.call_args.args[0] is None
+
+
+def test_ls_exits_nonzero_when_a_target_could_not_be_listed() -> None:
+ """A script wrapping `ls` must not read a dead engine as "nothing running"."""
+ with patch("factory.contained.lifecycle.list_runtimes",
+ return_value=([], ["local: cannot reach podman"], [])):
+ assert dispatch_lifecycle(_args(subcommand="ls", target=None, namespace=None)) == 1
+
+
+def test_a_lifecycle_error_during_dispatch_is_a_message_not_a_traceback(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ with patch("factory.contained.lifecycle.list_runtimes",
+ side_effect=LifecycleError("cannot reach podman")):
+ assert dispatch_lifecycle(_args(subcommand="ls", target=None, namespace=None)) == 1
+ assert "cannot reach podman" in capsys.readouterr().err
+
+
+@pytest.mark.parametrize("subcommand", ["attach", "rm", "sync"])
+def test_a_subcommand_needing_a_name_and_given_none_exits_two(
+ subcommand: str, capsys: pytest.CaptureFixture[str]
+) -> None:
+ args = _args(subcommand=subcommand, target="local", namespace=None, name=None)
+ assert dispatch_lifecycle(args) == 2
+ assert "needs a runtime name" in capsys.readouterr().err
+
+
+def test_rm_carries_the_yes_flag_and_the_terminal_state_through() -> None:
+ args = _args(subcommand="rm", target="local", namespace=None, name="rta-abc123", yes=True)
+ with patch("factory.contained.lifecycle.remove", return_value=0) as remover:
+ assert dispatch_lifecycle(args) == 0
+ assert remover.call_args.kwargs["assume_yes"] is True
+ assert "interactive" in remover.call_args.kwargs
+
+
+def test_attach_and_sync_route_to_their_handlers() -> None:
+ for subcommand, target in (("attach", "attach"), ("sync", "sync")):
+ args = _args(subcommand=subcommand, target="local", namespace=None, name="rta-abc123")
+ with patch(f"factory.contained.lifecycle.{target}", return_value=0) as handler:
+ assert dispatch_lifecycle(args) == 0
+ handler.assert_called_once_with("rta-abc123", "local", None)
+
+
+def test_an_unrouted_subcommand_exits_two_rather_than_silently_succeeding(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ assert dispatch_lifecycle(_args(subcommand="teleport", target="local", namespace=None)) == 2
+ assert "not implemented" in capsys.readouterr().err
+
+
+def test_a_created_timestamp_as_an_rfc3339_string_is_accepted() -> None:
+ """Older podman builds emit a string under the same key; anything unparseable degrades to `?`
+ rather than raising inside a listing."""
+ entry = _entry(state="exited")
+ entry["Created"] = "2024-01-01T00:00:00Z"
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps([entry]))):
+ assert local_runtimes()[0].created == datetime(2024, 1, 1, tzinfo=timezone.utc)
+
+
+def test_an_unparseable_created_timestamp_degrades_to_none() -> None:
+ entry = _entry(state="exited")
+ entry["Created"] = "last tuesday"
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps([entry]))):
+ assert local_runtimes()[0].created is None
+
+
+def test_a_container_reported_under_name_rather_than_names_is_still_found() -> None:
+ entry = {"Name": "rta-abc123", "State": "exited",
+ "Labels": {LABEL_CONTAINED: "true", LABEL_NAME: "rta-abc123"}}
+ with patch("factory.contained.lifecycle.subprocess.run",
+ return_value=_completed(json.dumps([entry]))):
+ assert local_runtimes()[0].name == "rta-abc123"
+
+
+def test_the_lifecycle_module_never_composes_its_own_podman_arguments() -> None:
+ """All podman knowledge lives in `factory.podman`, which is what makes the dry-run rendering
+ and the real path provably the same commands."""
+ source = Path(lifecycle.__file__).read_text()
+ assert '"podman"' not in source
diff --git a/tests/test_contained_podman.py b/tests/test_contained_podman.py
new file mode 100644
index 000000000..6a6a4e966
--- /dev/null
+++ b/tests/test_contained_podman.py
@@ -0,0 +1,282 @@
+"""Command composition for the local runtime.
+
+This module only *composes* argv; execution lives in the CLI. That split is what makes
+`FACTORY_CONTAINED_DRY_RUN=1` honest — dry-run prints the same list the real path executes rather
+than a separate rendering that drifts. So these tests assert on exact argv, because an argv that is
+merely "close" is the failure mode the split exists to prevent.
+"""
+
+from __future__ import annotations
+
+import os
+import shlex
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.podman import (
+ CONTAINER_HOME,
+ IDLE_COMMAND,
+ LABEL_CONTAINED,
+ TMUX_SESSION,
+ ContainerPlan,
+ Mount,
+ build_create_argv,
+ build_exec_argv,
+ build_image_exists_argv,
+ build_pane_liveness_argv,
+ build_pull_argv,
+ build_rm_argv,
+ build_run_command,
+ build_stat_argv,
+ build_tmux_launch,
+ container_name,
+ dry_run_enabled,
+ growth_context_warning,
+ project_hash,
+ resolve_image,
+ scores_something,
+)
+
+
+def _plan(tmp_path: Path, **overrides: object) -> ContainerPlan:
+ base: dict[str, object] = {
+ "name": "rta-abc123",
+ "image": "img:latest",
+ "workdir": str(tmp_path / "rta"),
+ "env": {"FACTORY_CONTAINED": "1"},
+ "labels": {LABEL_CONTAINED: "true"},
+ "mounts": (Mount(source=tmp_path / "rta", target=str(tmp_path / "rta")),),
+ "run_command": "factory ceo /w/rta",
+ }
+ base.update(overrides)
+ return ContainerPlan(**base) # type: ignore[arg-type]
+
+
+# --------------------------------------------------------------------------------------------
+# Identity flags — the two that decide whether the workspace is writable
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_userns_is_emitted_as_one_joined_flag(tmp_path: Path) -> None:
+ """`--userns=keep-id` is one token; split into two, podman reads `keep-id` as the image."""
+ argv = build_create_argv(_plan(tmp_path, userns="keep-id"))
+ assert "--userns=keep-id" in argv
+ assert "--user" not in argv
+
+
+def test_an_explicit_user_is_emitted_as_a_flag_and_a_value(tmp_path: Path) -> None:
+ argv = build_create_argv(_plan(tmp_path, user="501:0"))
+ assert argv[argv.index("--user") + 1] == "501:0"
+
+
+def test_the_container_is_created_with_an_init_around_an_idle_payload(tmp_path: Path) -> None:
+ """The factory spawns agent subprocesses and is not a well-behaved init: without catatonit as
+ PID 1 the container accumulates zombies and ignores `podman stop`."""
+ argv = build_create_argv(_plan(tmp_path))
+ assert argv[:4] == ["podman", "run", "-d", "--init"]
+ assert argv[-3:] == ["sh", "-lc", IDLE_COMMAND]
+
+
+def test_labels_and_env_are_ordered_so_two_runs_compose_identically(tmp_path: Path) -> None:
+ """An argv that reorders between invocations makes a dry-run transcript uncomparable."""
+ plan = _plan(tmp_path, env={"B": "2", "A": "1"}, labels={"z": "1", LABEL_CONTAINED: "true"})
+ argv = build_create_argv(plan)
+ assert argv.index("A=1") < argv.index("B=2")
+
+
+# --------------------------------------------------------------------------------------------
+# exec, and the flags that are stated rather than detected
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_tty_is_requested_explicitly_rather_than_auto_detected() -> None:
+ """The factory runs exec both from a terminal and from a pipe; auto-detection would quietly do
+ the wrong thing in whichever case the caller forgot about."""
+ assert build_exec_argv("c", ["sh"], tty=True) == ["podman", "exec", "-i", "-t", "c", "sh"]
+ assert build_exec_argv("c", ["sh"]) == ["podman", "exec", "c", "sh"]
+
+
+def test_a_detached_exec_carries_the_detach_flag_before_the_name() -> None:
+ assert build_exec_argv("c", ["sh"], detach=True) == ["podman", "exec", "-d", "c", "sh"]
+
+
+def test_liveness_asks_about_panes_rather_than_the_session() -> None:
+ """The session is deliberately kept after the run ends so its output stays readable, so
+ `has-session` reports a finished run as running."""
+ argv = build_pane_liveness_argv("c")
+ assert "#{pane_dead}" in argv
+ assert "has-session" not in argv
+
+
+def test_attaching_revives_a_dead_pane_first() -> None:
+ """Attaching to a dead pane shows a frozen screen that accepts no input."""
+ from factory.podman import build_attach_argv
+
+ script = build_attach_argv("c")[-1]
+ assert "respawn-pane" in script and "attach" in script
+
+
+# --------------------------------------------------------------------------------------------
+# The remaining single-purpose composers
+# --------------------------------------------------------------------------------------------
+
+
+def test_removal_forces_by_default_because_the_caller_already_decided() -> None:
+ assert build_rm_argv("c") == ["podman", "rm", "--force", "c"]
+ assert build_rm_argv("c", force=False) == ["podman", "rm", "c"]
+
+
+def test_listing_can_be_narrowed_to_running_containers() -> None:
+ """The label filter is not optional either way — a tool that shows a user resources it did not
+ create invites them to assume it manages those too."""
+ from factory.podman import build_ps_argv
+
+ argv = build_ps_argv(all_states=False)
+ assert "--all" not in argv
+ assert f"label={LABEL_CONTAINED}=true" in argv
+
+
+def test_image_helpers_check_existence_and_pull() -> None:
+ assert build_image_exists_argv("i") == ["podman", "image", "exists", "i"]
+ assert build_pull_argv("i") == ["podman", "pull", "i"]
+
+
+def test_the_ownership_probe_can_be_pinned_to_a_user(tmp_path: Path) -> None:
+ """Used to confirm a candidate identity actually sees the mount as its own."""
+ mount = Mount(source=tmp_path, target="/w")
+ argv = build_stat_argv("img", mount, user="501:0")
+ assert argv[argv.index("--user") + 1] == "501:0"
+ assert argv[-4:] == ["stat", "-c", "%u:%g", "/w"]
+
+
+def test_a_read_only_mount_is_marked_ro() -> None:
+ assert Mount(Path("/a"), "/b", read_only=True).as_flag() == "/a:/b:ro"
+ assert Mount(Path("/a"), "/b").as_flag() == "/a:/b:rw"
+
+
+# --------------------------------------------------------------------------------------------
+# Naming
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_hash_is_never_what_gets_truncated() -> None:
+ """Two same-named projects in different directories must not collide; the readable stem is
+ what costs nothing but legibility when it is cut."""
+ long_name = Path("/tmp/" + "a" * 60)
+ name = container_name(long_name)
+ assert len(name) <= 32
+ assert name.endswith(project_hash(long_name)[:6])
+
+
+def test_a_name_with_no_alphanumerics_still_produces_a_usable_container_name() -> None:
+ name = container_name(Path("/tmp/---"))
+ assert name.startswith("factory-")
+
+
+# --------------------------------------------------------------------------------------------
+# The container's shell line
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_tmux_session_survives_the_factory_exiting() -> None:
+ """A failed run is exactly when its state is worth reading."""
+ launch = build_tmux_launch("/w", "factory ceo /w")
+ assert "remain-on-exit on" in launch
+ assert "pane-died detach-client" in launch
+ assert shlex.quote(TMUX_SESSION) in launch or TMUX_SESSION in launch
+
+
+def test_a_division_file_in_a_subdirectory_gets_its_directory_created(tmp_path: Path) -> None:
+ """`printf > .factory/division/README.md` fails outright if the directory is not there."""
+ command = build_run_command(
+ "/w", "factory ceo /w", files={".factory/division/README.md": "brief"}
+ )
+ assert "mkdir -p .factory/division" in command
+ assert command.index("mkdir -p") < command.index("> .factory/division/README.md")
+
+
+def test_a_file_at_the_workspace_root_needs_no_mkdir() -> None:
+ command = build_run_command("/w", "factory ceo /w", files={"NOTES.md": "x"})
+ assert "mkdir -p" not in command
+
+
+def test_an_mcp_registration_is_written_next_to_the_project() -> None:
+ command = build_run_command("/w", "factory ceo /w", mcp_config={"mcpServers": {"podman": {}}})
+ assert "> .mcp.json" in command
+
+
+def test_the_payload_is_the_last_thing_the_container_runs() -> None:
+ """Everything before it is preparation; a payload that ran first would race the seeding."""
+ command = build_run_command("/w", "factory ceo /w")
+ assert command.endswith("factory ceo /w")
+
+
+# --------------------------------------------------------------------------------------------
+# The score-comparability warning
+# --------------------------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("argv", [["ceo", "/p"], ["--flag", "run", "/p"], ["eval"]])
+def test_payloads_that_can_produce_a_score_are_recognised(argv: list[str]) -> None:
+ assert scores_something(argv)
+
+
+@pytest.mark.parametrize("argv", [["backlog-list", "/p"], ["--flag"], []])
+def test_payloads_that_cannot_produce_a_score_are_not(argv: list[str]) -> None:
+ """Warning about score comparability ahead of `backlog-list` trains the user to skip warnings,
+ which costs them the one that matters."""
+ assert not scores_something(argv)
+
+
+def test_the_warning_names_every_missing_variable() -> None:
+ assert growth_context_warning({}, ["ceo", "/p"]) is not None
+ warning = growth_context_warning({"FACTORY_MANAGED_DIRS": "/d"}, ["ceo", "/p"])
+ assert warning is not None
+ assert "FACTORY_VAULT_PATH" in warning and "FACTORY_MANAGED_DIRS" not in warning
+
+
+def test_a_fully_configured_environment_warns_about_nothing() -> None:
+ env = {"FACTORY_MANAGED_DIRS": "/d", "FACTORY_VAULT_PATH": "/v"}
+ assert growth_context_warning(env, ["ceo", "/p"]) is None
+
+
+def test_a_whitespace_only_value_counts_as_unset() -> None:
+ env = {"FACTORY_MANAGED_DIRS": " ", "FACTORY_VAULT_PATH": "/v"}
+ warning = growth_context_warning(env, ["ceo", "/p"])
+ assert warning is not None and "FACTORY_MANAGED_DIRS" in warning
+
+
+# --------------------------------------------------------------------------------------------
+# Environment-driven configuration
+# --------------------------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("value", ["1", "true", "YES", " true "])
+def test_dry_run_accepts_the_documented_truthy_spellings(value: str) -> None:
+ assert dry_run_enabled({"FACTORY_CONTAINED_DRY_RUN": value})
+
+
+@pytest.mark.parametrize("value", ["0", "", "no", "maybe"])
+def test_anything_else_is_not_a_dry_run(value: str) -> None:
+ """Reading an unrecognised value as truthy would silently provision nothing on a real run."""
+ assert not dry_run_enabled({"FACTORY_CONTAINED_DRY_RUN": value})
+
+
+def test_the_image_falls_back_to_the_published_default() -> None:
+ from factory.podman import DEFAULT_IMAGE
+
+ assert resolve_image({}) == DEFAULT_IMAGE
+ assert resolve_image({"FACTORY_CONTAINED_IMAGE": "mine:dev"}) == "mine:dev"
+
+
+def test_the_image_is_read_from_the_real_environment_when_none_is_given() -> None:
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_IMAGE": "mine:dev"}, clear=False):
+ assert resolve_image() == "mine:dev"
+
+
+def test_the_container_home_is_stated_rather_than_inherited() -> None:
+ """The container runs under an arbitrary UID with no /etc/passwd entry, so an unstated $HOME
+ becomes `/` and every dotfile is written to the image's read-only root."""
+ assert CONTAINER_HOME.startswith("/") and CONTAINER_HOME != "/"
diff --git a/tests/test_contained_policy.py b/tests/test_contained_policy.py
new file mode 100644
index 000000000..e03cac9bc
--- /dev/null
+++ b/tests/test_contained_policy.py
@@ -0,0 +1,128 @@
+"""The three small policies: what crosses, what is masked, and which paths are translated.
+
+Each of these is one function whose wrong answer is invisible. A variable that does not cross gives
+a run without credentials; one that crosses unmasked reaches every dry-run transcript and evidence
+file; a path translated when it should not be renames a directory the payload meant literally.
+"""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.credentials import CredentialShape, resolve_credentials, vertex_model_warning
+from factory.contained.env import (
+ is_secret_key,
+)
+from factory.contained.paths import rewrite_argv
+
+
+# --------------------------------------------------------------------------------------------
+# Masking
+# --------------------------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize(
+ "key", ["ANTHROPIC_API_KEY", "github_token", "MY_SECRET", "DB_PASSWORD", "GOOGLE_CREDENTIALS"]
+)
+def test_credential_looking_names_are_recognised_case_insensitively(key: str) -> None:
+ assert is_secret_key(key)
+
+
+@pytest.mark.parametrize("key", ["FACTORY_MODEL", "CLOUD_ML_REGION", "PATH"])
+def test_ordinary_names_are_not_masked(key: str) -> None:
+ assert not is_secret_key(key)
+
+
+# --------------------------------------------------------------------------------------------
+# Path rewriting
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_token_that_cannot_be_resolved_at_all_is_passed_through(tmp_path: Path) -> None:
+ """A prompt, a URL, or a path with a null byte. The payload is opaque by design, so anything
+ that is not usable as a path has to survive untouched."""
+ # The first `resolve` is the project root's; only the token's is made to fail.
+ with patch("pathlib.Path.resolve", side_effect=[tmp_path, OSError("name too long")]):
+ out, changes = rewrite_argv(["Build a weather CLI"], tmp_path, "/workspace/rta")
+ assert out == ["Build a weather CLI"]
+ assert changes == []
+
+
+def test_the_project_root_itself_is_rewritten_to_the_runtime_root(tmp_path: Path) -> None:
+ project = tmp_path / "rta"
+ project.mkdir()
+ out, changes = rewrite_argv([str(project)], project, "/workspace/rta")
+ assert out == ["/workspace/rta"]
+ assert changes == [(str(project), "/workspace/rta")]
+
+
+def test_a_flag_that_happens_to_name_a_directory_is_left_alone(tmp_path: Path) -> None:
+ out, _ = rewrite_argv(["--dir"], tmp_path, "/workspace/rta")
+ assert out == ["--dir"]
+
+
+def test_an_empty_token_is_left_alone(tmp_path: Path) -> None:
+ out, _ = rewrite_argv([""], tmp_path, "/workspace/rta")
+ assert out == [""]
+
+
+# --------------------------------------------------------------------------------------------
+# Which model, and where it came from — never which credential
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_model_is_reported_with_the_variable_that_supplied_it(tmp_path: Path) -> None:
+ shape = resolve_credentials(
+ {"ANTHROPIC_API_KEY": "sk-live", "FACTORY_MODEL": "claude-sonnet-4-5"},
+ config_path=tmp_path / "absent.toml",
+ )
+ assert "claude-sonnet-4-5 (from FACTORY_MODEL)" in shape.detail
+ assert "sk-live" not in shape.detail
+
+
+def test_the_configured_default_model_is_used_when_no_variable_is_set(tmp_path: Path) -> None:
+ config = tmp_path / "config.toml"
+ config.write_text('[defaults]\nmodel = "claude-opus-4"\n')
+ with patch("factory.contained.credentials.FACTORY_CONFIG", config):
+ shape = resolve_credentials({"ANTHROPIC_API_KEY": "sk-live"}, config_path=config)
+ assert "claude-opus-4" in shape.detail
+
+
+def test_an_unreadable_config_leaves_the_model_unstated_rather_than_guessed(tmp_path: Path) -> None:
+ """ "<unset>" tells the user to pass `--model`; a guessed model 429s and reads as a network
+ fault."""
+ config = tmp_path / "config.toml"
+ config.write_text("this is not toml = = =\n")
+ with patch("factory.contained.credentials.FACTORY_CONFIG", config):
+ shape = resolve_credentials({"ANTHROPIC_API_KEY": "sk-live"}, config_path=config)
+ assert "<unset" in shape.detail
+
+
+def test_a_vertex_setup_missing_its_adc_file_is_not_ok(tmp_path: Path) -> None:
+ """All three variables can be set and the run still cannot authenticate — the ADC file is the
+ thing that actually carries the credential."""
+ env = {
+ "CLAUDE_CODE_USE_VERTEX": "1",
+ "CLOUD_ML_REGION": "us-east5",
+ "ANTHROPIC_VERTEX_PROJECT_ID": "p",
+ }
+ with patch("factory.contained.credentials.ADC_DIR", tmp_path / "gcloud"):
+ shape = resolve_credentials(env, config_path=tmp_path / "absent.toml")
+ assert shape.backend == "vertex" and not shape.ok
+ assert "missing" in shape.detail
+ assert shape.fix is not None and "application-default login" in shape.fix
+
+
+def test_a_vertex_shape_with_a_model_in_the_payload_does_not_warn() -> None:
+ shape = CredentialShape(backend="vertex", ok=True, detail="")
+ assert vertex_model_warning(shape, ["ceo", "/p", "--model=claude-sonnet-4-5"]) is None
+ assert vertex_model_warning(shape, ["ceo", "/p", "--model", "claude-sonnet-4-5"]) is None
+
+
+def test_a_non_vertex_shape_never_warns_about_the_model() -> None:
+ """The quota problem is a property of that Vertex project, not of the runtime."""
+ shape = CredentialShape(backend="anthropic", ok=True, detail="")
+ assert vertex_model_warning(shape, ["ceo", "/p"]) is None
diff --git a/tests/test_contained_prereq.py b/tests/test_contained_prereq.py
new file mode 100644
index 000000000..6ae91d652
--- /dev/null
+++ b/tests/test_contained_prereq.py
@@ -0,0 +1,136 @@
+"""Prerequisite checks and setup: three checks, every failure carrying its fix, nothing raising."""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained import prereq, setup
+from factory.contained.prereq import Check, local_checks, render_checks
+
+
+def _completed(stdout: str = "", returncode: int = 0) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, "")
+
+
+def test_a_clean_machine_gets_a_list_not_a_traceback() -> None:
+ """`shutil.which` returns None for everything and every subprocess raises FileNotFoundError."""
+ with patch("factory.contained.prereq.shutil.which", return_value=None), \
+ patch("factory.contained.prereq.subprocess.run", side_effect=FileNotFoundError):
+ checks = local_checks()
+ assert [c.name for c in checks] == ["container_engine", "runtime_image", "inference"]
+ assert not checks[0].ok
+ assert checks[0].fix
+
+
+def test_the_engine_check_exercises_the_connection_not_just_the_binary() -> None:
+ """On macOS the machine stops quietly, so finding `podman` proves nothing."""
+ with patch("factory.contained.prereq.shutil.which", return_value="/usr/bin/podman"), \
+ patch("factory.contained.prereq.subprocess.run", return_value=_completed(returncode=125)):
+ check = prereq._engine_check()
+ assert not check.ok
+ assert check.fix == "podman machine start"
+
+
+def test_a_reachable_engine_reports_its_mode() -> None:
+ def fake_run(argv, **kwargs):
+ if argv[:2] == ["podman", "info"] and "json" in " ".join(argv):
+ return _completed('{"host": {"security": {"rootless": false}}}')
+ if argv[:2] == ["podman", "version"]:
+ return _completed("5.7.1")
+ return _completed("false")
+
+ with patch("factory.contained.prereq.shutil.which", return_value="/usr/bin/podman"), \
+ patch("factory.contained.prereq.subprocess.run", side_effect=fake_run):
+ check = prereq._engine_check()
+ assert check.ok
+ assert "rootful" in check.detail
+
+
+def test_a_missing_image_points_at_setup() -> None:
+ with patch("factory.contained.prereq.subprocess.run", return_value=_completed(returncode=1)):
+ check = prereq._image_check()
+ assert not check.ok
+ assert "factory contained setup" in (check.fix or "")
+
+
+def test_inference_is_reported_by_shape_never_by_material(monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.setenv("ANTHROPIC_API_KEY", "sk-ant-supersecret")
+ monkeypatch.delenv("CLAUDE_CODE_USE_VERTEX", raising=False)
+ check = prereq._inference_check()
+ assert check.ok
+ assert "sk-ant-supersecret" not in check.detail
+ assert "ANTHROPIC_API_KEY" in check.detail
+
+
+def test_every_failing_check_carries_a_fix() -> None:
+ with patch("factory.contained.prereq.shutil.which", return_value=None), \
+ patch("factory.contained.prereq.subprocess.run", side_effect=FileNotFoundError):
+ checks = local_checks()
+ for check in checks:
+ if not check.ok:
+ assert check.fix, f"{check.name} failed without naming a fix"
+
+
+def test_render_reports_each_check_and_ends_in_one_of_two_states() -> None:
+ green = render_checks([Check("a", True, "fine"), Check("b", True, "fine")])
+ assert "All checks passed" in green
+ red = render_checks([Check("a", False, "broken", fix="do the thing")])
+ assert "1 check(s) failed" in red
+ assert "fix: do the thing" in red
+
+
+def test_setup_pulls_a_missing_image_and_skips_a_present_one(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.setup.local_checks",
+ return_value=[Check("container_engine", True, "ok")]), \
+ patch("factory.contained.setup._image_present", return_value=True), \
+ patch("factory.contained.setup.subprocess.run") as run:
+ setup._setup_local()
+ run.assert_not_called()
+ assert "already present" in capsys.readouterr().out
+
+ with patch("factory.contained.setup.local_checks",
+ return_value=[Check("container_engine", True, "ok")]), \
+ patch("factory.contained.setup._image_present", return_value=False), \
+ patch("factory.contained.setup.subprocess.run",
+ return_value=_completed()) as run:
+ setup._setup_local()
+ assert run.call_args[0][0][:2] == ["podman", "pull"]
+
+
+def test_setup_announces_before_starting_a_stopped_machine(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.setup.local_checks",
+ return_value=[Check("container_engine", False, "not reachable")]), \
+ patch("factory.contained.setup._image_present", return_value=True), \
+ patch("factory.contained.setup.subprocess.run",
+ return_value=_completed("podman-machine-default\n")):
+ setup._setup_local()
+ assert "Starting the podman machine" in capsys.readouterr().out
+
+
+def test_setup_is_idempotent_over_a_ready_machine(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("factory.contained.setup.local_checks",
+ return_value=[Check("container_engine", True, "ok")]), \
+ patch("factory.contained.setup._image_present", return_value=True), \
+ patch("factory.contained.setup.subprocess.run") as run:
+ setup._setup_local()
+ setup._setup_local()
+ run.assert_not_called()
+
+
+def test_setup_always_reports_the_full_check_list(capsys: pytest.CaptureFixture[str]) -> None:
+ """Ends in exactly one of two states, never in a single ad hoc line standing in for it."""
+ checks = [Check("container_engine", False, "no podman", fix="brew install podman")]
+ with patch("factory.contained.setup._setup_local"), \
+ patch("factory.contained.setup.local_checks", return_value=checks):
+ code = setup.run_setup("local", interactive=False)
+ out = capsys.readouterr().out
+ assert code == 1
+ assert "container_engine" in out
+ assert "brew install podman" in out
diff --git a/tests/test_contained_prereq_engine.py b/tests/test_contained_prereq_engine.py
new file mode 100644
index 000000000..eafafa2ea
--- /dev/null
+++ b/tests/test_contained_prereq_engine.py
@@ -0,0 +1,53 @@
+"""Two directions `verify` gets wrong quietly: a live engine error, and a failure setup cannot fix.
+
+Nothing in `prereq` may raise — "nothing installed yet" is the normal case it exists to describe,
+so a clean machine must get a list of what is missing rather than a traceback.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import patch
+
+from factory.contained.prereq import Check, local_checks, render_checks
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+def test_an_engine_failure_carries_its_own_first_line_into_the_detail() -> None:
+ """"podman is installed but its engine is not reachable" is true of a dozen causes. The
+ engine's own first line is what distinguishes "machine stopped" from "socket permission"."""
+ with patch("factory.contained.prereq.shutil.which", return_value="/usr/bin/podman"), \
+ patch("factory.contained.prereq._run",
+ return_value=_completed("", returncode=125,
+ stderr="Cannot connect to Podman socket\nmore detail\n")):
+ engine = next(c for c in local_checks() if c.name == "container_engine")
+ assert not engine.ok
+ assert "Cannot connect to Podman socket" in engine.detail
+ assert "more detail" not in engine.detail
+
+
+def test_an_engine_that_cannot_be_reached_at_all_still_names_the_fix() -> None:
+ with patch("factory.contained.prereq.shutil.which", return_value="/usr/bin/podman"), \
+ patch("factory.contained.prereq._run", return_value=None):
+ engine = next(c for c in local_checks() if c.name == "container_engine")
+ assert not engine.ok and engine.fix == "podman machine start"
+
+
+def test_a_failure_setup_cannot_repair_does_not_advertise_setup() -> None:
+ """Telling someone to run a command that will not fix their problem sends them round in
+ circles — inference is deliberately not automated, because it touches credential material."""
+ rendered = render_checks([Check(name="inference", ok=False, detail="no key",
+ fix="export ANTHROPIC_API_KEY=...")])
+ assert "factory contained setup" not in rendered
+ assert "shows the command that fixes it" in rendered
+
+
+def test_a_repairable_failure_names_setup_and_which_checks_it_covers() -> None:
+ rendered = render_checks([Check(name="runtime_image", ok=False, detail="absent", fix="pull")])
+ assert "factory contained setup" in rendered
+ assert "runtime_image" in rendered
diff --git a/tests/test_contained_regressions.py b/tests/test_contained_regressions.py
new file mode 100644
index 000000000..d3289ee24
--- /dev/null
+++ b/tests/test_contained_regressions.py
@@ -0,0 +1,219 @@
+"""Four defects the coverage pass surfaced, each pinned so it cannot return quietly.
+
+All four shared a shape: the code reported a state that was not true. A stale container that could
+never be reaped, an errored scan that read as clean, a dry run that contacted the cluster, and a
+credential lookup that answered from a file it was not given. None of them raised; each just said
+something reassuring and wrong, which is why they survived a green suite.
+"""
+
+from __future__ import annotations
+
+import argparse
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.cli import contained as cli
+from factory.contained import lifecycle, secrets
+from factory.contained.credentials import resolve_credentials
+from factory.contained.runtimes import Runtime
+
+
+def _completed(stdout: str = "", returncode: int = 0, stderr: str = "") -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+# ---------------------------------------------------------------------------------------------
+# 1. A finished run is not an active one
+# ---------------------------------------------------------------------------------------------
+
+
+def test_a_finished_run_is_inactive() -> None:
+ """The container outlives its run by design, so "finished" is what a completed run looks like.
+
+ Treating it as active made `reap_stale` refuse the containers it exists to reap.
+ """
+ assert not Runtime(name="x", target="local", project="p", state="finished").active
+ assert Runtime(name="x", target="local", project="p", state="running").active
+
+
+def test_reap_stale_removes_a_finished_container() -> None:
+ with patch("factory.contained.lifecycle.local_runtimes",
+ return_value=[Runtime(name="x", target="local", project="p", state="finished")]), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()) as run:
+ reaped, detail = lifecycle.reap_stale("x")
+ assert reaped, detail
+ assert run.call_args[0][0][:2] == ["podman", "rm"]
+
+
+def test_rm_does_not_interrogate_the_user_about_a_finished_run(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """Non-interactive `rm` used to refuse the one state where deleting is unambiguously safe."""
+ with patch("factory.contained.lifecycle.local_runtimes",
+ return_value=[Runtime(name="x", target="local", project="p", state="finished")]), \
+ patch("factory.contained.lifecycle.workspace_for", return_value=None), \
+ patch("factory.contained.division.stop_recorded", return_value=False), \
+ patch("factory.contained.lifecycle.subprocess.run", return_value=_completed()):
+ assert lifecycle.remove("x", "local", assume_yes=False, interactive=False) == 0
+ assert "--yes" not in capsys.readouterr().err
+
+
+def test_attach_explains_a_finished_run_rather_than_calling_it_stopped(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """A finished run's container IS running — only its session ended.
+
+ The generic inactive message says "the container is not running", which is false here and hides
+ that `podman exec` still works. Ordering the specific branch first is what keeps it reachable.
+ """
+ with patch("factory.contained.lifecycle.list_runtimes",
+ return_value=([Runtime(name="x", target="local", project="p", state="finished")],
+ [], [])):
+ assert lifecycle.attach("x", "local") == 1
+ err = capsys.readouterr().err
+ assert "podman exec -it x bash" in err
+ assert "the container is not running" not in err
+
+
+# ---------------------------------------------------------------------------------------------
+# 2. A scan that failed is not a scan that passed
+# ---------------------------------------------------------------------------------------------
+
+
+def test_a_failed_gitleaks_run_is_reported_as_unscanned(tmp_path: Path) -> None:
+ """gitleaks writes a report only when it finds something, so an error left no report and was
+ read as "no secrets found" — and the workspace uploaded claiming it had been checked."""
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run",
+ return_value=_completed("", 1, "error: unknown flag --nonsense")):
+ result = secrets.scan(tmp_path)
+ assert not result.scanned
+ assert "UNSCANNED" in result.detail
+ assert "no secrets found" not in result.detail
+
+
+def test_a_clean_gitleaks_run_is_still_clean(tmp_path: Path) -> None:
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", return_value=_completed("", 0)):
+ result = secrets.scan(tmp_path)
+ assert result.scanned
+ assert result.detail == "no secrets found"
+
+
+def test_the_leak_exit_code_is_the_one_gitleaks_is_told_to_use() -> None:
+ """`scan` distinguishes findings from failure by this code, so it must match the flag."""
+ argv = secrets.build_scan_argv(Path("/tmp/x"), Path("/tmp/r.json"))
+ assert str(secrets.LEAK_EXIT_CODE) == argv[argv.index("--exit-code") + 1]
+
+
+def test_an_unscanned_workspace_warns_visibly_before_uploading(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """It proceeds, and that is deliberate — but it must say so.
+
+ `confirm_upload` warns and continues for an unscanned tree on purpose: "the absence of a
+ scanner is not evidence of a secret, and refusing to run without an optional tool would make it
+ mandatory by the back door." The defect was never that it proceeded; it was that a *failed*
+ scan reported "no secrets found" and so produced no warning at all. The fix is that the
+ warning now exists to be printed.
+ """
+ failed = secrets.ScanResult(scanned=False, detail="gitleaks failed, uploading UNSCANNED")
+ with patch("builtins.input", side_effect=AssertionError("must not prompt")):
+ assert secrets.confirm_upload(failed, assume_yes=False, interactive=True) is True
+ assert "UNSCANNED" in capsys.readouterr().err
+
+
+# ---------------------------------------------------------------------------------------------
+# 3. Dry run provisions nothing — and contacts nothing
+# ---------------------------------------------------------------------------------------------
+
+
+def test_k8s_dry_run_never_reaches_the_cluster(tmp_path: Path) -> None:
+ """`FACTORY_CONTAINED_DRY_RUN=1` is documented as composing commands and provisioning nothing.
+
+ Two values in the pod plan are live cluster reads — the namespace's fsGroup range and whether
+ the credentials Secret carries a Google credential file. Asking for them made dry-run a
+ 30-second round trip against an unreachable cluster, for a command that should be instant.
+ """
+ from factory.cli.contained_k8s import _build_pod_plan
+ from factory.contained.workspace import plan_workspace
+
+ project = tmp_path / "proj"
+ project.mkdir()
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(
+ ["contained", "--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)]
+ )
+ cli.interpret(cli._PARSER, args)
+
+ boom = AssertionError("dry run must not contact the cluster")
+ with patch.dict("os.environ", {"FACTORY_CONTAINED_HOME": str(tmp_path / "home")}, clear=False), \
+ patch("factory.cli.contained_k8s.namespace_fs_group", side_effect=boom), \
+ patch("factory.cli.contained_k8s.secret_keys", side_effect=boom):
+ ws = plan_workspace(project, "run-1", self_contained=True)
+ plan = _build_pod_plan(args, ws, "ns", "run-1", dry_run=True)
+
+ # Both cluster-derived fields fall back to their unknown value rather than a guess.
+ assert plan.fs_group is None
+ assert plan.adc is False
+
+
+def test_a_real_k8s_launch_still_reads_both_from_the_cluster(tmp_path: Path) -> None:
+ """The fix must not turn the real path into a dry run."""
+ from factory.cli.contained_k8s import _build_pod_plan
+ from factory.contained.k8s import ADC_SECRET_KEY
+ from factory.contained.workspace import plan_workspace
+
+ project = tmp_path / "proj"
+ project.mkdir()
+ parser = argparse.ArgumentParser(prog="factory")
+ sub = parser.add_subparsers(dest="command")
+ cli.build_contained_parser(sub)
+ args = parser.parse_args(
+ ["contained", "--target", "k8s", "--namespace", "ns", "--", "ceo", str(project)]
+ )
+ cli.interpret(cli._PARSER, args)
+
+ with patch.dict("os.environ", {"FACTORY_CONTAINED_HOME": str(tmp_path / "home")}, clear=False), \
+ patch("factory.cli.contained_k8s.namespace_fs_group", return_value=1001000000), \
+ patch("factory.cli.contained_k8s.secret_keys", return_value={ADC_SECRET_KEY}):
+ ws = plan_workspace(project, "run-1", self_contained=True)
+ plan = _build_pod_plan(args, ws, "ns", "run-1")
+
+ assert plan.fs_group == 1001000000
+ assert plan.adc is True
+
+
+# ---------------------------------------------------------------------------------------------
+# 4. A credential lookup answers from the file it was given
+# ---------------------------------------------------------------------------------------------
+
+
+def test_the_model_is_read_from_the_caller_s_config(tmp_path: Path) -> None:
+ """`config_path` used to apply to profiles but not to the model, so injection half-worked —
+ under test that meant reaching into the developer's real ~/.factory/config.toml."""
+ config = tmp_path / "config.toml"
+ config.write_text('[defaults]\nmodel = "injected-model"\n\n[credentials.x]\nA = "b"\n')
+ shape = resolve_credentials({"ANTHROPIC_API_KEY": "sk-ant-x"}, config_path=config)
+ assert "injected-model" in shape.detail
+ assert str(config) in shape.detail
+
+
+def test_an_absent_config_reports_no_model_rather_than_the_real_one(tmp_path: Path) -> None:
+ shape = resolve_credentials({"ANTHROPIC_API_KEY": "sk-ant-x"},
+ config_path=tmp_path / "absent.toml")
+ assert "<unset" in shape.detail
+
+
+def test_an_environment_model_still_wins_over_the_config(tmp_path: Path) -> None:
+ config = tmp_path / "config.toml"
+ config.write_text('[defaults]\nmodel = "from-config"\n')
+ shape = resolve_credentials(
+ {"ANTHROPIC_API_KEY": "sk-ant-x", "FACTORY_MODEL": "from-env"}, config_path=config
+ )
+ assert "from-env" in shape.detail and "from-config" not in shape.detail
diff --git a/tests/test_contained_secrets.py b/tests/test_contained_secrets.py
new file mode 100644
index 000000000..414fdebd5
--- /dev/null
+++ b/tests/test_contained_secrets.py
@@ -0,0 +1,224 @@
+"""The gate in front of the only step that moves a working tree off this machine.
+
+The design is warn-and-confirm, not block: a false positive on a test fixture must not stop work,
+because an override people use reflexively protects nobody. That makes the *failure* directions the
+interesting cases — an absent scanner must warn and proceed, and an unanswerable prompt must refuse
+rather than hang or assume yes.
+
+`gitleaks` is never actually invoked here.
+"""
+
+from __future__ import annotations
+
+import json
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.secrets import (
+ Finding,
+ ScanResult,
+ build_scan_argv,
+ confirm_upload,
+ gitleaks_available,
+ render_findings,
+ scan,
+)
+
+
+def _report(entries: list[dict[str, object]]):
+ """Make the patched `subprocess.run` write a gitleaks report where `scan` looks for it."""
+
+ def _run(argv: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ Path(argv[argv.index("--report-path") + 1]).write_text(json.dumps(entries))
+ return subprocess.CompletedProcess([], 0, "", "")
+
+ return _run
+
+
+# --------------------------------------------------------------------------------------------
+# The command
+# --------------------------------------------------------------------------------------------
+
+
+def test_the_scan_covers_the_working_tree_and_not_the_history(tmp_path: Path) -> None:
+ """History is not what is being uploaded, and scanning it turns a five-second check into a
+ minutes-long one reporting secrets that are already published — a different problem."""
+ argv = build_scan_argv(tmp_path, tmp_path / "report.json")
+ assert argv[:3] == ["gitleaks", "dir", str(tmp_path)]
+ assert "--no-banner" in argv
+
+
+def test_availability_is_a_path_lookup_not_an_invocation() -> None:
+ with patch("factory.contained.secrets.shutil.which", return_value=None):
+ assert gitleaks_available() is False
+ with patch("factory.contained.secrets.shutil.which", return_value="/usr/bin/gitleaks"):
+ assert gitleaks_available() is True
+
+
+# --------------------------------------------------------------------------------------------
+# Scanning
+# --------------------------------------------------------------------------------------------
+
+
+def test_without_gitleaks_the_tree_is_reported_unscanned_rather_than_clean(
+ tmp_path: Path
+) -> None:
+ """"No findings" and "nothing looked" must never be the same answer."""
+ with patch("factory.contained.secrets.gitleaks_available", return_value=False):
+ result = scan(tmp_path)
+ assert result.scanned is False
+ assert "UNSCANNED" in result.detail
+
+
+def test_a_clean_tree_is_scanned_with_no_findings(tmp_path: Path) -> None:
+ """gitleaks writes no report at all when it finds nothing."""
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 0, "", "")):
+ result = scan(tmp_path)
+ assert result.scanned is True and result.findings == ()
+
+
+def test_findings_are_reported_relative_to_the_workspace_root(tmp_path: Path) -> None:
+ """The copy under ~/.factory-contained is an implementation detail: a user told to fix
+ `.factory-contained/<run>/<project>/.env` edits a file regenerated on the next run, while the
+ real one keeps being uploaded."""
+ (tmp_path / ".env").write_text("KEY=x")
+ entries = [{"File": str(tmp_path / ".env"), "StartLine": 3, "RuleID": "generic-api-key",
+ "Description": "Generic API Key"}]
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", side_effect=_report(entries)):
+ result = scan(tmp_path)
+ assert result.findings == (Finding(".env", 3, "generic-api-key", "Generic API Key"),)
+ assert result.detail == "1 finding(s)"
+
+
+def test_a_finding_outside_the_root_keeps_its_reported_path(tmp_path: Path) -> None:
+ entries = [{"File": "/etc/shadow", "StartLine": 1, "RuleID": "r", "Description": "d"}]
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", side_effect=_report(entries)):
+ result = scan(tmp_path)
+ assert result.findings[0].file == "/etc/shadow"
+
+
+def test_non_dict_report_entries_are_skipped_rather_than_crashing_the_upload(
+ tmp_path: Path
+) -> None:
+ entries = ["unexpected", {"File": "a", "StartLine": 1, "RuleID": "r", "Description": "d"}]
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", side_effect=_report(entries)): # type: ignore[arg-type]
+ result = scan(tmp_path)
+ assert len(result.findings) == 1
+
+
+def test_a_scanner_that_cannot_be_run_is_a_warning_not_a_failure(tmp_path: Path) -> None:
+ """`scan` never raises: an unscannable tree must not become an exception in the launch path."""
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", side_effect=OSError("exec format")):
+ result = scan(tmp_path)
+ assert result.scanned is False and "could not be run" in result.detail
+
+
+def test_a_scan_that_times_out_is_a_warning_not_a_failure(tmp_path: Path) -> None:
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run",
+ side_effect=subprocess.TimeoutExpired(cmd="gitleaks", timeout=600)):
+ result = scan(tmp_path)
+ assert result.scanned is False and "could not be run" in result.detail
+
+
+def test_a_report_that_is_not_json_is_treated_as_unscanned(tmp_path: Path) -> None:
+ """Reading a malformed report as "clean" would turn a broken scanner into a silent bypass."""
+
+ def _run(argv: list[str], **kwargs: object) -> subprocess.CompletedProcess[str]:
+ Path(argv[argv.index("--report-path") + 1]).write_text("<html>error</html>")
+ return subprocess.CompletedProcess([], 0, "", "")
+
+ with patch("factory.contained.secrets.gitleaks_available", return_value=True), \
+ patch("factory.contained.secrets.subprocess.run", side_effect=_run):
+ result = scan(tmp_path)
+ assert result.scanned is False
+
+
+# --------------------------------------------------------------------------------------------
+# Rendering
+# --------------------------------------------------------------------------------------------
+
+
+def test_findings_are_rendered_precisely_enough_to_check_by_hand() -> None:
+ rendered = render_findings(ScanResult(
+ scanned=True,
+ findings=(Finding(".env", 3, "generic-api-key", "Generic API Key"),),
+ detail="1 finding(s)",
+ ))
+ assert ".env:3" in rendered and "generic-api-key" in rendered
+
+
+# --------------------------------------------------------------------------------------------
+# The confirmation, which is what actually gates the upload
+# --------------------------------------------------------------------------------------------
+
+
+def test_an_unscanned_tree_warns_and_proceeds(capsys: pytest.CaptureFixture[str]) -> None:
+ """The absence of a scanner is not evidence of a secret; refusing would make an optional tool
+ mandatory by the back door."""
+ result = ScanResult(scanned=False, detail="gitleaks is not installed")
+ assert confirm_upload(result, assume_yes=False, interactive=False) is True
+ assert "Warning" in capsys.readouterr().err
+
+
+def test_a_clean_tree_asks_nothing() -> None:
+ """A prompt on every clean run is a prompt people learn to dismiss."""
+ with patch("builtins.input") as ask:
+ assert confirm_upload(ScanResult(scanned=True), assume_yes=False, interactive=True) is True
+ ask.assert_not_called()
+
+
+def _flagged() -> ScanResult:
+ return ScanResult(
+ scanned=True,
+ findings=(Finding(".env", 1, "generic-api-key", "Generic API Key"),),
+ detail="1 finding(s)",
+ )
+
+
+def test_findings_are_shown_before_the_question(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("builtins.input", return_value="y"):
+ assert confirm_upload(_flagged(), assume_yes=False, interactive=True) is True
+ err = capsys.readouterr().err
+ assert ".env:1" in err
+ assert "copied onto cluster storage" in err
+
+
+def test_yes_overrides_the_findings_and_says_so(capsys: pytest.CaptureFixture[str]) -> None:
+ """The override is for automation, and it is recorded in the run's evidence."""
+ with patch("builtins.input") as ask:
+ assert confirm_upload(_flagged(), assume_yes=True) is True
+ ask.assert_not_called()
+ assert "--yes was given" in capsys.readouterr().err
+
+
+def test_findings_with_nobody_to_ask_refuse_the_upload(
+ capsys: pytest.CaptureFixture[str]
+) -> None:
+ """Not a hang, and not an assumed yes: the tree stays on this machine."""
+ with patch("builtins.input") as ask:
+ assert confirm_upload(_flagged(), assume_yes=False, interactive=False) is False
+ ask.assert_not_called()
+ assert "Refusing to upload" in capsys.readouterr().err
+
+
+@pytest.mark.parametrize(("answer", "proceed"), [("y", True), ("YES", True), ("n", False),
+ ("", False), ("maybe", False)])
+def test_only_an_affirmative_answer_proceeds(answer: str, proceed: bool) -> None:
+ """Anything that is not an explicit yes is a no — the default has to be the safe direction."""
+ with patch("builtins.input", return_value=answer):
+ assert confirm_upload(_flagged(), assume_yes=False, interactive=True) is proceed
+
+
+def test_interactivity_is_detected_from_the_terminal_when_not_stated() -> None:
+ with patch("sys.stdin.isatty", return_value=False):
+ assert confirm_upload(_flagged(), assume_yes=False) is False
diff --git a/tests/test_contained_setup.py b/tests/test_contained_setup.py
new file mode 100644
index 000000000..1d24c1b5c
--- /dev/null
+++ b/tests/test_contained_setup.py
@@ -0,0 +1,256 @@
+"""The local setup wizard: what it automates, what it refuses to, and how it ends.
+
+`verify` reports; `setup` fixes. Two properties are the whole contract and each is a thing a wizard
+usually gets wrong: it must be idempotent (so it is also the way to repair a partial setup), and it
+must never act silently. The one step deliberately left to the user is inference — the only step
+that touches credential material.
+
+Every podman call is mocked. `_start_machine` and `_image_present` shell out through the module's
+`subprocess`, so a leak here would start the developer's podman machine.
+"""
+
+from __future__ import annotations
+
+import os
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.prereq import Check
+from factory.contained.setup import _image_present, _start_machine, run_setup
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+@pytest.fixture(autouse=True)
+def contained_root(tmp_path: Path):
+ """`run_setup` records which target this machine uses, and that record is a real file under
+ the user's home unless it is redirected."""
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+@pytest.fixture(autouse=True)
+def _no_engine_calls():
+ """Default every seam to "already fine" so each test only patches what it is about."""
+ with (
+ patch("factory.contained.setup.subprocess.run", return_value=_completed()),
+ patch("factory.contained.setup._image_present", return_value=True),
+ patch(
+ "factory.contained.setup.local_checks",
+ return_value=[Check(name="container_engine", ok=True, detail="reachable")],
+ ),
+ ):
+ yield # type: ignore[misc]
+
+
+# --------------------------------------------------------------------------------------------
+# Target selection
+# --------------------------------------------------------------------------------------------
+
+
+def test_no_target_and_no_terminal_sets_up_the_local_runtime() -> None:
+ """Non-interactive means nobody is there to answer, and `local` is the documented default."""
+ with patch("factory.contained.k8s_setup.setup_k8s") as k8s:
+ assert run_setup(None, interactive=False) == 0
+ k8s.assert_not_called()
+
+
+def test_the_chooser_is_skipped_when_a_target_was_named(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("builtins.input") as ask:
+ run_setup("local", interactive=True)
+ ask.assert_not_called()
+
+
+@pytest.mark.parametrize(("answer", "expect_k8s"), [("1", False), ("2", True), ("3", True)])
+def test_the_chooser_maps_each_answer_to_a_target(answer: str, expect_k8s: bool) -> None:
+ with (
+ patch("builtins.input", return_value=answer),
+ patch("factory.contained.k8s_setup.setup_k8s", return_value=0) as k8s,
+ ):
+ run_setup(None, interactive=True)
+ assert k8s.called is expect_k8s
+
+
+def test_an_unrecognised_answer_falls_back_to_local_rather_than_asking_again() -> None:
+ """A wizard that loops on a typo in a non-interactive-adjacent context is a hang."""
+ with (
+ patch("builtins.input", return_value="banana"),
+ patch("factory.contained.k8s_setup.setup_k8s") as k8s,
+ ):
+ run_setup(None, interactive=True)
+ k8s.assert_not_called()
+
+
+def test_stdin_closed_at_the_prompt_takes_the_default_rather_than_erroring(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """A pipe, a CI job, or `< /dev/null`. An unanswered prompt must not become a bare `Error:`."""
+ with (
+ patch("builtins.input", side_effect=EOFError),
+ patch("factory.contained.k8s_setup.setup_k8s") as k8s,
+ ):
+ assert run_setup(None, interactive=True) == 0
+ k8s.assert_not_called()
+ assert "the default" in capsys.readouterr().out
+
+
+def test_both_labels_each_half_so_the_output_can_be_read(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.k8s_setup.setup_k8s", return_value=0):
+ run_setup("both", interactive=False)
+ out = capsys.readouterr().out
+ assert "Local runtime" in out and "Cluster runtime" in out
+
+
+def test_a_failing_cluster_setup_is_reported_even_when_local_succeeded() -> None:
+ """`both` that returns 0 because one half worked would tell a script the setup is complete."""
+ with patch("factory.contained.k8s_setup.setup_k8s", return_value=1):
+ assert run_setup("both", interactive=False) == 1
+
+
+def test_a_failing_local_setup_is_reported() -> None:
+ with patch(
+ "factory.contained.setup.local_checks",
+ return_value=[Check(name="container_engine", ok=False, detail="not reachable")],
+ ):
+ assert run_setup("local", interactive=False) == 1
+
+
+def test_setup_records_the_target_so_ls_knows_which_ones_to_consult(contained_root: Path) -> None:
+ """`ls` only reaches for a cluster the machine has actually set up or used."""
+ from factory.contained.usage import used_targets
+
+ with patch("factory.contained.k8s_setup.setup_k8s", return_value=0):
+ run_setup("k8s", interactive=False)
+ assert used_targets() == ["k8s"]
+
+
+# --------------------------------------------------------------------------------------------
+# The three local steps
+# --------------------------------------------------------------------------------------------
+
+
+def test_every_step_is_numbered_so_working_can_be_told_from_finished(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ run_setup("local", interactive=False)
+ out = capsys.readouterr().out
+ assert "1/3" in out and "2/3" in out and "3/3" in out
+
+
+def test_a_reachable_engine_is_left_alone(capsys: pytest.CaptureFixture[str]) -> None:
+ """Idempotence: re-running must change nothing that is already correct."""
+ with patch("factory.contained.setup._start_machine") as start:
+ run_setup("local", interactive=False)
+ start.assert_not_called()
+ assert "nothing to do" in capsys.readouterr().out
+
+
+def test_an_unreachable_engine_starts_the_machine() -> None:
+ """On macOS the machine stops quietly and every later error blames podman instead."""
+ with (
+ patch(
+ "factory.contained.setup.local_checks",
+ return_value=[Check(name="container_engine", ok=False, detail="not reachable")],
+ ),
+ patch("factory.contained.setup._start_machine") as start,
+ ):
+ run_setup("local", interactive=False)
+ start.assert_called_once()
+
+
+def test_an_image_already_present_is_not_pulled_again(capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("factory.contained.setup.subprocess.run") as run:
+ run_setup("local", interactive=False)
+ assert "already present" in capsys.readouterr().out
+ assert not [c for c in run.call_args_list if "pull" in c.args[0]]
+
+
+def test_a_missing_image_is_pulled(capsys: pytest.CaptureFixture[str]) -> None:
+ with (
+ patch("factory.contained.setup._image_present", return_value=False),
+ patch("factory.contained.setup.subprocess.run", return_value=_completed()) as run,
+ ):
+ run_setup("local", interactive=False)
+ assert any(c.args[0][:2] == ["podman", "pull"] for c in run.call_args_list)
+
+
+def test_a_failed_pull_offers_both_ways_out_rather_than_just_failing(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """The image may simply not be published yet, and the Containerfile ships in the git repository
+ rather than in the installed package — so "build it yourself" needs the clone step too."""
+ with (
+ patch("factory.contained.setup._image_present", return_value=False),
+ patch(
+ "factory.contained.setup.subprocess.run", return_value=_completed("", returncode=125)
+ ),
+ ):
+ run_setup("local", interactive=False)
+ err = capsys.readouterr().err
+ assert "FACTORY_CONTAINED_IMAGE" in err
+ assert "git clone" in err and "containers/factory/Containerfile" in err
+
+
+# --------------------------------------------------------------------------------------------
+# The two helpers that touch podman directly
+# --------------------------------------------------------------------------------------------
+
+
+def test_an_image_check_that_cannot_run_answers_no_rather_than_raising() -> None:
+ """This runs before the engine has been proven reachable, so it has to tolerate no podman."""
+ with patch("factory.contained.setup.subprocess.run", side_effect=FileNotFoundError):
+ assert _image_present("img:latest") is False
+
+
+def test_an_image_check_asks_podman_whether_the_reference_exists() -> None:
+ with patch("factory.contained.setup.subprocess.run", return_value=_completed()) as run:
+ assert _image_present("img:latest") is True
+ assert run.call_args.args[0] == ["podman", "image", "exists", "img:latest"]
+
+
+def test_with_no_machine_at_all_the_init_command_is_printed_not_run(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ """`podman machine init` downloads a VM image and picks resource limits — not something to do
+ to someone's machine without asking."""
+ with patch("factory.contained.setup.subprocess.run", return_value=_completed("")) as run:
+ _start_machine()
+ assert "podman machine init" in capsys.readouterr().out
+ assert run.call_count == 1
+
+
+def test_a_stopped_machine_is_started_because_it_mutates_nothing_durable(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch(
+ "factory.contained.setup.subprocess.run",
+ side_effect=[_completed("podman-machine-default\n"), _completed()],
+ ) as run:
+ _start_machine()
+ assert run.call_args.args[0] == ["podman", "machine", "start"]
+ assert "Starting the podman machine" in capsys.readouterr().out
+
+
+def test_a_machine_listing_that_fails_prints_the_init_command() -> None:
+ with patch(
+ "factory.contained.setup.subprocess.run", return_value=_completed("", returncode=125)
+ ) as run:
+ _start_machine()
+ assert run.call_count == 1
+
+
+def test_no_podman_binary_at_all_leaves_the_machine_step_silent() -> None:
+ """The trailing `local_checks()` reports it; a second, weaker message here would just be
+ noise ahead of the real one."""
+ with patch("factory.contained.setup.subprocess.run", side_effect=FileNotFoundError):
+ _start_machine()
diff --git a/tests/test_contained_style.py b/tests/test_contained_style.py
new file mode 100644
index 000000000..cb05b2ffc
--- /dev/null
+++ b/tests/test_contained_style.py
@@ -0,0 +1,161 @@
+"""Terminal styling — that it navigates when there is a terminal, and vanishes when there is not.
+
+The second half is the one worth testing: every one of these strings also lands in a pipe, a log
+file and a CI transcript, and an escape code there is corruption rather than colour.
+"""
+
+from __future__ import annotations
+
+import io
+from unittest.mock import patch
+
+from factory.contained import style
+
+ESC = "\033"
+
+
+class _Tty(io.StringIO):
+ def isatty(self) -> bool:
+ return True
+
+
+def test_nothing_is_emitted_to_a_pipe() -> None:
+ plain = io.StringIO()
+ assert ESC not in style.paint("hello", "bold", "red", stream=plain)
+ assert style.value("ns", stream=plain) == "'ns'"
+ assert ESC not in style.section("Step", step=1, total=3, stream=plain)
+
+
+def test_a_terminal_gets_colour() -> None:
+ tty = _Tty()
+ with patch.dict("os.environ", {}, clear=True):
+ assert ESC in style.paint("hello", "bold", stream=tty)
+
+
+def test_no_color_beats_force_color() -> None:
+ """https://no-color.org — an explicit opt-out wins over an explicit opt-in."""
+ tty = _Tty()
+ with patch.dict("os.environ", {"NO_COLOR": "1", "FORCE_COLOR": "1"}, clear=True):
+ assert ESC not in style.paint("hello", "bold", stream=tty)
+
+
+def test_force_color_beats_a_pipe() -> None:
+ with patch.dict("os.environ", {"FORCE_COLOR": "1"}, clear=True):
+ assert ESC in style.paint("hello", "bold", stream=io.StringIO())
+
+
+def test_a_dumb_terminal_gets_no_escape_codes() -> None:
+ tty = _Tty()
+ with patch.dict("os.environ", {"TERM": "dumb"}, clear=True):
+ assert ESC not in style.paint("hello", "bold", stream=tty)
+
+
+def test_a_value_is_quoted_even_without_colour() -> None:
+ """The complaint this exists for: "in namespace default" cannot be parsed by eye.
+
+ Colour alone does not fix it, because the same sentence is read in pipes and logs.
+ """
+ plain = io.StringIO()
+ assert "'default'" in f"namespace {style.value('default', stream=plain)}"
+
+
+def test_a_section_states_its_position() -> None:
+ plain = io.StringIO()
+ rendered = style.section("Namespace", step=1, total=4, stream=plain)
+ assert "1/4" in rendered and "Namespace" in rendered
+
+
+def test_a_note_wraps_and_stays_indented() -> None:
+ plain = io.StringIO()
+ rendered = style.note("word " * 60, stream=plain)
+ assert len(rendered.splitlines()) > 1
+ assert all(chunk.startswith(" ") for chunk in rendered.splitlines())
+
+
+def test_a_prompt_shows_what_enter_does() -> None:
+ plain = io.StringIO()
+ assert "[default]" in style.prompt("Namespace", "default", stream=plain)
+
+
+# ---------------------------------------------------------------------------------------------
+# Choices, and backing out
+# ---------------------------------------------------------------------------------------------
+
+
+def test_a_choice_spells_the_word_out_and_marks_the_key() -> None:
+ """`[y/n/a/q]` is readable only to whoever wrote it."""
+ plain = io.StringIO()
+ assert style.choice("a", "ll remaining", stream=plain) == "[a]ll remaining"
+
+
+def test_escape_is_recognized_in_a_typed_line() -> None:
+ """A line-buffered prompt never sees Escape as a key — it arrives as content."""
+ assert style.is_escape("\x1b")
+ assert style.is_escape("\x1b\x1b")
+ assert style.is_escape(" \x1b ")
+
+
+def test_ordinary_input_is_not_mistaken_for_escape() -> None:
+ for text in ("", "y", "factory-yi", "n", " "):
+ assert not style.is_escape(text)
+
+
+def test_read_key_declines_when_stdin_is_not_a_terminal() -> None:
+ """Returning None is the signal to fall back to `input()`, not an error."""
+ assert style.read_key("? ", stream=io.StringIO()) is None
+
+
+def test_confirm_falls_back_to_a_line_and_takes_its_default() -> None:
+ with patch("factory.contained.style.read_key", return_value=None), \
+ patch("builtins.input", return_value=""):
+ assert style.confirm("Create it?", default=False) is False
+ assert style.confirm("Create it?", default=True) is True
+
+
+def test_confirm_returns_none_on_escape_which_is_not_no() -> None:
+ """"Stop this" and "no, keep asking" are different answers."""
+ with patch("factory.contained.style.read_key", return_value=style.ESCAPE):
+ assert style.confirm("Create it?") is None
+ with patch("factory.contained.style.read_key", return_value=None), \
+ patch("builtins.input", return_value="\x1b"):
+ assert style.confirm("Create it?") is None
+
+
+def test_confirm_returns_none_at_end_of_input() -> None:
+ with patch("factory.contained.style.read_key", return_value=None), \
+ patch("builtins.input", side_effect=EOFError):
+ assert style.confirm("Create it?") is None
+
+
+def test_read_line_cancels_on_escape_without_waiting_for_enter() -> None:
+ """The whole point: `input()` cannot see Escape, so a cancel key needs raw reading."""
+ with patch("factory.contained.style._raw_session", return_value=None), \
+ patch("builtins.input", return_value="\x1b"):
+ assert style.read_line("Namespace", "default") is None
+
+
+def test_read_line_returns_the_typed_value_stripped() -> None:
+ with patch("factory.contained.style._raw_session", return_value=None), \
+ patch("builtins.input", return_value=" factory-yi "):
+ assert style.read_line("Namespace", "default") == "factory-yi"
+
+
+def test_read_line_returns_empty_for_a_bare_enter_so_the_default_applies() -> None:
+ """Empty is not cancelled: the caller substitutes its default, which `None` would skip."""
+ with patch("factory.contained.style._raw_session", return_value=None), \
+ patch("builtins.input", return_value=""):
+ assert style.read_line("Namespace", "default") == ""
+
+
+def test_read_line_cancels_when_stdin_is_captured_or_closed() -> None:
+ """pytest's stdin raises OSError rather than EOFError; both mean nobody is there."""
+ for failure in (EOFError, OSError):
+ with patch("factory.contained.style._raw_session", return_value=None), \
+ patch("builtins.input", side_effect=failure):
+ assert style.read_line("Namespace") is None
+
+
+def test_confirm_reads_a_single_keypress() -> None:
+ with patch("factory.contained.style.read_key", return_value="y"), \
+ patch("builtins.input", side_effect=AssertionError("must not need Enter")):
+ assert style.confirm("Create it?") is True
diff --git a/tests/test_contained_usage.py b/tests/test_contained_usage.py
new file mode 100644
index 000000000..cc3b1a06e
--- /dev/null
+++ b/tests/test_contained_usage.py
@@ -0,0 +1,83 @@
+"""Which runtimes this machine actually uses — the record that keeps `ls` off an unwanted cluster.
+
+Somebody who answered "local" at setup should not be told their cluster is down, and asking an
+unreachable one costs a multi-second timeout before that wrong answer arrives. The record is the
+only thing standing between those two behaviours, so it has to be both durable and *never fatal*:
+a machine whose home directory is read-only still has to be able to run a container.
+"""
+
+from __future__ import annotations
+
+import json
+import os
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.usage import record_target, used_targets, uses
+
+
+@pytest.fixture(autouse=True)
+def contained_root(tmp_path: Path):
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+def test_a_machine_with_no_record_uses_nothing() -> None:
+ assert used_targets() == []
+ assert not uses("k8s")
+
+
+def test_recording_a_target_makes_it_used(contained_root: Path) -> None:
+ record_target("k8s")
+ assert uses("k8s") and not uses("local")
+
+
+def test_recording_is_idempotent_and_does_not_rewrite_the_file(contained_root: Path) -> None:
+ record_target("local")
+ path = contained_root / "targets.json"
+ before = path.stat().st_mtime_ns
+ record_target("local")
+ assert path.stat().st_mtime_ns == before
+
+
+def test_both_targets_can_be_recorded(contained_root: Path) -> None:
+ record_target("local")
+ record_target("k8s")
+ assert set(used_targets()) == {"local", "k8s"}
+
+
+def test_an_unknown_target_is_ignored_rather_than_recorded(contained_root: Path) -> None:
+ """The record drives which backends `ls` consults; a name nothing knows how to list would be
+ read back and silently dropped anyway."""
+ record_target("mainframe")
+ assert not (contained_root / "targets.json").exists()
+
+
+def test_an_unwritable_home_does_not_stop_the_run(contained_root: Path) -> None:
+ """The only cost of failing here is that `ls` asks about one target more than it needs to."""
+ with patch("pathlib.Path.write_text", side_effect=OSError("read-only file system")):
+ record_target("local")
+ assert used_targets() == []
+
+
+def test_a_corrupt_record_reads_as_empty_rather_than_raising(contained_root: Path) -> None:
+ contained_root.mkdir(parents=True)
+ (contained_root / "targets.json").write_text("{not json")
+ assert used_targets() == []
+
+
+def test_a_record_that_is_not_a_list_reads_as_empty(contained_root: Path) -> None:
+ contained_root.mkdir(parents=True)
+ (contained_root / "targets.json").write_text(json.dumps({"local": True}))
+ assert used_targets() == []
+
+
+def test_unknown_names_in_the_record_are_filtered_out(contained_root: Path) -> None:
+ """A record written by a newer version must not make this one try to list a target it has no
+ backend for."""
+ contained_root.mkdir(parents=True)
+ (contained_root / "targets.json").write_text(json.dumps(["local", "mainframe"]))
+ assert used_targets() == ["local"]
diff --git a/tests/test_contained_workspace.py b/tests/test_contained_workspace.py
new file mode 100644
index 000000000..4e1ff294d
--- /dev/null
+++ b/tests/test_contained_workspace.py
@@ -0,0 +1,398 @@
+"""Workspace materialization, provenance probes, and lifecycle over factory-created runtimes."""
+
+from __future__ import annotations
+
+import argparse
+import os
+import subprocess
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained import lifecycle
+from factory.contained.lifecycle import Runtime, render_table, resolve_runtime
+from factory.contained.provenance import content_probe, provenance_probes
+from factory.contained.workspace import (
+ contained_home,
+ git_common_dir,
+ materialize,
+ merge_hint,
+ plan_workspace,
+ release,
+)
+
+
+@pytest.fixture()
+def git_project(tmp_path: Path) -> Path:
+ project = tmp_path / "rta"
+ project.mkdir()
+ (project / "README.md").write_text("# rta\n")
+ subprocess.run(["git", "init", "-q"], cwd=project, check=True)
+ subprocess.run(["git", "add", "-A"], cwd=project, check=True)
+ subprocess.run(
+ ["git", "-c", "user.email=t@e", "-c", "user.name=t", "commit", "-qm", "init"],
+ cwd=project, check=True,
+ )
+ return project
+
+
+@pytest.fixture()
+def contained_root(tmp_path: Path):
+ root = tmp_path / "contained-home"
+ with patch.dict(os.environ, {"FACTORY_CONTAINED_HOME": str(root)}, clear=False):
+ yield root
+
+
+# --------------------------------------------------------------------------------------------
+# The workspace is a copy, and it always starts from the local tree
+# --------------------------------------------------------------------------------------------
+
+
+def test_plan_workspace_touches_nothing(git_project: Path, contained_root: Path) -> None:
+ ws = plan_workspace(git_project, "rta-abc123")
+ assert ws.kind == "worktree"
+ assert ws.branch == "contained/rta-abc123"
+ assert ws.path == contained_root / "rta-abc123" / "rta"
+ assert not contained_root.exists()
+
+
+def test_git_project_becomes_a_worktree_on_a_branch(
+ git_project: Path, contained_root: Path
+) -> None:
+ ws = materialize(git_project, "rta-abc123")
+ assert ws.path.is_dir()
+ assert (ws.path / "README.md").read_text() == "# rta\n"
+ branch = subprocess.run(
+ ["git", "-C", str(ws.path), "rev-parse", "--abbrev-ref", "HEAD"],
+ capture_output=True, text=True, check=True,
+ ).stdout.strip()
+ assert branch == "contained/rta-abc123"
+ release(ws)
+
+
+def test_the_copy_carries_uncommitted_work(git_project: Path, contained_root: Path) -> None:
+ """The whole point of a contained run is to exercise code that is not committed yet."""
+ (git_project / "README.md").write_text("# rta, edited\n")
+ (git_project / "untracked.txt").write_text("new\n")
+ factory_dir = git_project / ".factory"
+ factory_dir.mkdir()
+ (factory_dir / "config.json").write_text("{}")
+
+ ws = materialize(git_project, "rta-abc123")
+ assert (ws.path / "README.md").read_text() == "# rta, edited\n"
+ assert (ws.path / "untracked.txt").exists()
+ # .factory/ is gitignored by convention, so a HEAD checkout alone would lose the whole
+ # experiment history.
+ assert (ws.path / ".factory" / "config.json").exists()
+ release(ws)
+
+
+def test_the_host_tree_is_untouched(git_project: Path, contained_root: Path) -> None:
+ ws = materialize(git_project, "rta-abc123")
+ (ws.path / "written-by-the-run.txt").write_text("x\n")
+ status = subprocess.run(
+ ["git", "-C", str(git_project), "status", "--porcelain"],
+ capture_output=True, text=True, check=True,
+ ).stdout
+ assert status == ""
+ assert not (git_project / "written-by-the-run.txt").exists()
+ release(ws)
+
+
+def test_a_non_git_project_is_copied_not_worktreed(tmp_path: Path, contained_root: Path) -> None:
+ project = tmp_path / "plain"
+ project.mkdir()
+ (project / "a.txt").write_text("a\n")
+ ws = materialize(project, "plain-abc123")
+ assert ws.kind == "copy"
+ assert ws.branch is None
+ assert (ws.path / "a.txt").exists()
+
+
+def test_materialize_is_idempotent_and_keeps_in_progress_work(
+ git_project: Path, contained_root: Path
+) -> None:
+ ws = materialize(git_project, "rta-abc123")
+ (ws.path / "in-progress.txt").write_text("half done\n")
+ again = materialize(git_project, "rta-abc123")
+ assert again.path == ws.path
+ assert (ws.path / "in-progress.txt").exists()
+ release(ws)
+
+
+def test_the_source_repository_git_dir_is_discoverable(git_project: Path) -> None:
+ """A worktree's .git is a *file*; without the source's git dir mounted, git fails inside."""
+ common = git_common_dir(git_project)
+ assert common is not None
+ assert common.is_dir()
+ assert common.name == ".git"
+
+
+def test_merge_hint_never_merges(git_project: Path, contained_root: Path) -> None:
+ ws = materialize(git_project, "rta-abc123")
+ hint = merge_hint(ws)
+ assert "contained/rta-abc123" in hint
+ assert str(ws.path) in hint
+ assert "git -C" in hint and "merge" in hint
+ release(ws)
+
+
+def test_contained_home_is_not_nested_under_factory_home() -> None:
+ """~/.factory is itself bind-mounted read-write; nesting would overlap two bind mounts."""
+ with patch.dict(os.environ, {}, clear=False):
+ os.environ.pop("FACTORY_CONTAINED_HOME", None)
+ home = contained_home()
+ factory_home = Path("~/.factory").expanduser()
+ assert home != factory_home
+ assert factory_home not in home.parents
+
+
+# --------------------------------------------------------------------------------------------
+# Provenance
+# --------------------------------------------------------------------------------------------
+
+
+def test_probes_are_conditional_on_what_the_host_actually_has() -> None:
+ names = [p.name for p in provenance_probes(
+ "/w", expect_factory_state=False, expect_git=False, content=None
+ )]
+ assert names == ["project_present", "writable"]
+
+ names = [p.name for p in provenance_probes(
+ "/w", expect_factory_state=True, expect_git=True, content=("a.txt", "deadbeef")
+ )]
+ assert names == ["project_present", "git_usable", "factory_state", "writable", "content_hash"]
+
+
+def test_every_probe_carries_a_hint_naming_the_consequence() -> None:
+ for probe in provenance_probes(
+ "/w", expect_factory_state=True, expect_git=True, content=("a.txt", "deadbeef")
+ ):
+ assert probe.hint, f"{probe.name} has no hint"
+ assert len(probe.hint) > 40
+
+
+def test_writable_probe_writes_rather_than_reading_mode_bits() -> None:
+ """Mode bits can say writable while the mount is read-only in practice."""
+ probe = next(
+ p for p in provenance_probes("/w", expect_factory_state=False, expect_git=False,
+ content=None)
+ if p.name == "writable"
+ )
+ assert "touch" in " ".join(probe.argv)
+
+
+def test_content_probe_hashes_the_largest_file_outside_git(tmp_path: Path) -> None:
+ (tmp_path / "small.txt").write_text("x")
+ (tmp_path / "big.txt").write_text("y" * 5000)
+ (tmp_path / ".git").mkdir()
+ (tmp_path / ".git" / "huge").write_text("z" * 100000)
+ result = content_probe(tmp_path)
+ assert result is not None
+ assert result[0] == "big.txt"
+
+
+def test_content_probe_skips_rather_than_fakes_an_empty_tree(tmp_path: Path) -> None:
+ assert content_probe(tmp_path) is None
+
+
+# --------------------------------------------------------------------------------------------
+# Lifecycle acts only on factory-created runtimes
+# --------------------------------------------------------------------------------------------
+
+
+def _entry(name: str, *, ours: bool = True, state: str = "running") -> dict[str, object]:
+ labels = {"factory.contained": "true", "factory.project": "deadbeef"} if ours else {"app": "x"}
+ return {"Names": [name], "Labels": labels, "State": state, "Created": 1_700_000_000}
+
+
+def test_only_labelled_containers_are_listed() -> None:
+ with patch(
+ "factory.contained.lifecycle._podman_entries",
+ return_value=[_entry("ours"), _entry("theirs", ours=False)],
+ ):
+ runtimes = lifecycle.local_runtimes()
+ assert [r.name for r in runtimes] == ["ours"]
+
+
+def test_attach_refuses_a_container_the_factory_did_not_create(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.lifecycle._podman_entries", return_value=[]), \
+ patch("factory.contained.lifecycle.subprocess.call") as call:
+ code = lifecycle.attach("theirs", "local")
+ call.assert_not_called()
+ assert code == 1
+ assert "not a runtime" in capsys.readouterr().err
+
+
+def test_rm_refuses_a_container_the_factory_did_not_create() -> None:
+ with patch("factory.contained.lifecycle._podman_entries", return_value=[]), \
+ patch("factory.contained.lifecycle.subprocess.call") as call:
+ code = lifecycle.remove("theirs", "local", assume_yes=True)
+ call.assert_not_called()
+ assert code == 1
+
+
+def test_rm_prompts_before_deleting_an_active_run(capsys: pytest.CaptureFixture[str]) -> None:
+ # `_run_state` is pinned rather than left to the tmux probe: with no podman reachable the probe
+ # reports "finished", which is an *inactive* state, and this test is about an active one.
+ with patch("factory.contained.lifecycle._podman_entries", return_value=[_entry("ours")]), \
+ patch("factory.contained.lifecycle._run_state", return_value="running"), \
+ patch("factory.contained.lifecycle.subprocess.call") as call:
+ code = lifecycle.remove("ours", "local", assume_yes=False, interactive=False)
+ call.assert_not_called()
+ assert code == 1
+ assert "--yes" in capsys.readouterr().err
+
+
+def test_rm_deletes_a_stopped_run_without_prompting() -> None:
+ with patch(
+ "factory.contained.lifecycle._podman_entries",
+ return_value=[_entry("ours", state="exited")],
+ ), patch("factory.contained.lifecycle.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 0, "ours\n", "")) as run:
+ code = lifecycle.remove("ours", "local", assume_yes=False, interactive=False)
+ assert code == 0
+ assert run.call_args[0][0][:2] == ["podman", "rm"]
+
+
+def test_rm_does_not_echo_podmans_own_output(capsys: pytest.CaptureFixture[str]) -> None:
+ """podman prints the name it removed; our own report follows, and the pair reads as a stutter."""
+ with patch(
+ "factory.contained.lifecycle._podman_entries",
+ return_value=[_entry("ours", state="exited")],
+ ), patch("factory.contained.lifecycle.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 0, "ours\n", "")):
+ lifecycle.remove("ours", "local", assume_yes=True, interactive=False)
+ out = capsys.readouterr().out
+ assert not out.startswith("ours\n")
+
+
+def test_reap_stale_leaves_a_running_container_alone() -> None:
+ """A name collision can equally mean "you meant to reattach", so a live run is never reaped."""
+ with patch("factory.contained.lifecycle._podman_entries", return_value=[_entry("ours")]), \
+ patch("factory.contained.lifecycle._run_state", return_value="running"), \
+ patch("factory.contained.lifecycle.subprocess.call") as call:
+ reaped, detail = lifecycle.reap_stale("ours")
+ call.assert_not_called()
+ assert not reaped
+ assert "still active" in detail
+
+
+def test_reap_stale_removes_a_dead_one_of_ours() -> None:
+ with patch(
+ "factory.contained.lifecycle._podman_entries",
+ return_value=[_entry("ours", state="exited")],
+ ), patch("factory.contained.lifecycle.subprocess.run",
+ return_value=subprocess.CompletedProcess([], 0, "ours\n", "")):
+ reaped, detail = lifecycle.reap_stale("ours")
+ assert reaped
+ assert "removed stale" in detail
+
+
+def test_sync_reports_a_merge_command_and_merges_nothing(
+ git_project: Path, contained_root: Path, capsys: pytest.CaptureFixture[str]
+) -> None:
+ ws = materialize(git_project, "rta-abc123")
+ with patch(
+ "factory.contained.lifecycle._podman_entries",
+ return_value=[_entry("rta-abc123", state="exited")],
+ ):
+ code = lifecycle.sync("rta-abc123", "local")
+ out = capsys.readouterr().out
+ assert code == 0
+ assert "contained/rta-abc123" in out
+ assert "merge" in out
+ # Nothing moved.
+ assert subprocess.run(
+ ["git", "-C", str(git_project), "status", "--porcelain"],
+ capture_output=True, text=True, check=True,
+ ).stdout == ""
+ release(ws)
+
+
+def test_render_table_reports_ages_and_states() -> None:
+ created = datetime.now(timezone.utc) - timedelta(hours=3)
+ table = render_table(
+ [Runtime(name="rta-abc", target="local", project="deadbeef", state="running",
+ created=created)]
+ )
+ assert "rta-abc" in table and "local" in table and "3h" in table and "running" in table
+
+
+def test_render_table_on_an_empty_fleet_points_at_how_to_start_one() -> None:
+ assert "factory contained --" in render_table([])
+
+
+def test_resolve_runtime_matches_by_name() -> None:
+ runtimes = [Runtime(name="a", target="local", project="p", state="running")]
+ assert resolve_runtime("a", runtimes) is not None
+ assert resolve_runtime("b", runtimes) is None
+
+
+def test_dispatch_requires_a_name_for_name_taking_subcommands() -> None:
+ args = argparse.Namespace(subcommand="attach", name=None, target="local")
+ assert lifecycle.dispatch_lifecycle(args) == 2
+
+
+# ---------------------------------------------------------------------------------------------
+# A run's state is not its container's state
+# ---------------------------------------------------------------------------------------------
+
+
+def test_a_finished_run_is_not_reported_as_running() -> None:
+ """The container's PID 1 outlives the run on purpose, so container state says nothing about
+ whether there is anything left to attach to."""
+ alive = subprocess.CompletedProcess([], 0, "0\n", "")
+ dead = subprocess.CompletedProcess([], 0, "1\n", "")
+ gone = subprocess.CompletedProcess([], 1, "", "no server running")
+
+ with patch("factory.contained.lifecycle.subprocess.run", return_value=alive):
+ assert lifecycle._run_state("x", "running") == "running"
+ with patch("factory.contained.lifecycle.subprocess.run", return_value=dead):
+ assert lifecycle._run_state("x", "running") == "finished"
+ with patch("factory.contained.lifecycle.subprocess.run", return_value=gone):
+ assert lifecycle._run_state("x", "running") == "finished"
+ # A stopped container needs no probe at all.
+ with patch("factory.contained.lifecycle.subprocess.run") as run:
+ assert lifecycle._run_state("x", "exited") == "exited"
+ run.assert_not_called()
+
+
+def test_the_session_survives_a_stray_exit() -> None:
+ """One Ctrl-D used to destroy the session, the scrollback and any way back into the run."""
+ from factory.podman import build_tmux_launch
+
+ launch = build_tmux_launch("/w", "factory study /w")
+ assert "remain-on-exit on" in launch
+ # ...and exiting must still return the user to their own shell rather than stranding them in a
+ # pane that is dead and accepts no input.
+ assert "pane-died detach-client" in launch
+
+
+def test_attach_revives_a_dead_pane_before_attaching() -> None:
+ from factory.podman import build_attach_argv
+
+ command = " ".join(build_attach_argv("x"))
+ assert "pane_dead" in command
+ assert "respawn-pane" in command
+ assert "tmux attach" in command
+
+
+def test_attach_explains_a_finished_run_instead_of_saying_no_sessions(
+ capsys: pytest.CaptureFixture[str],
+) -> None:
+ with patch("factory.contained.lifecycle.list_runtimes",
+ return_value=([Runtime(name="x", target="local", project="p", state="finished")],
+ [], [])), \
+ patch("factory.contained.lifecycle.subprocess.call") as call:
+ code = lifecycle.attach("x", "local")
+ call.assert_not_called()
+ assert code == 1
+ err = capsys.readouterr().err
+ assert "has finished" in err
+ assert "podman exec -it x bash" in err
+ assert "factory contained rm x" in err
diff --git a/tests/test_contained_workspace_recovery.py b/tests/test_contained_workspace_recovery.py
new file mode 100644
index 000000000..0a640474f
--- /dev/null
+++ b/tests/test_contained_workspace_recovery.py
@@ -0,0 +1,162 @@
+"""What the workspace helpers do when the filesystem or git says no.
+
+The happy paths are covered elsewhere; these are the directions where a wrong answer is silent.
+`merge_hint` and `cleanup_hint` are the only route a user has back to their work after a run, so a
+hint that names the wrong mechanism loses it — an rsync merge printed for a git worktree sends them
+at a tree whose branch they then never merge.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.contained.workspace import (
+ Workspace,
+ WorkspaceError,
+ cleanup_hint,
+ git_common_dir,
+ merge_hint,
+ release,
+)
+
+
+def _completed(
+ stdout: str = "", returncode: int = 0, stderr: str = ""
+) -> subprocess.CompletedProcess[str]:
+ return subprocess.CompletedProcess([], returncode, stdout, stderr)
+
+
+# --------------------------------------------------------------------------------------------
+# git_common_dir — the mount a worktree cannot work without
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_non_repository_has_no_common_git_dir(tmp_path: Path) -> None:
+ """The caller mounts what this returns; a fabricated path would mount a directory that does
+ not exist and every git command inside would fail on it."""
+ with patch("factory.contained.workspace.subprocess.run",
+ return_value=_completed("", returncode=128)):
+ assert git_common_dir(tmp_path) is None
+
+
+def test_an_empty_answer_is_treated_as_no_common_git_dir(tmp_path: Path) -> None:
+ with patch("factory.contained.workspace.subprocess.run", return_value=_completed(" \n")):
+ assert git_common_dir(tmp_path) is None
+
+
+# --------------------------------------------------------------------------------------------
+# The two failure paths in copying
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_missing_rsync_names_the_install_command(tmp_path: Path) -> None:
+ """rsync is the copier for both kinds of workspace, so its absence stops everything — and
+ "command not found" from inside a subprocess names nothing the user can act on."""
+ from factory.contained.workspace import _rsync
+
+ with patch("factory.contained.workspace.shutil.which", return_value=None):
+ with pytest.raises(WorkspaceError, match="brew install rsync"):
+ _rsync(tmp_path, tmp_path, exclude=(), delete=False)
+
+
+def test_a_failed_copy_reports_rsyncs_own_error(tmp_path: Path) -> None:
+ from factory.contained.workspace import _rsync
+
+ with patch("factory.contained.workspace.shutil.which", return_value="/usr/bin/rsync"), \
+ patch("factory.contained.workspace.subprocess.run",
+ return_value=_completed("", returncode=23, stderr="permission denied")):
+ with pytest.raises(WorkspaceError, match="permission denied"):
+ _rsync(tmp_path, tmp_path, exclude=(), delete=False)
+
+
+def test_a_failed_git_command_reports_gits_own_error(tmp_path: Path) -> None:
+ from factory.contained.workspace import _git
+
+ with patch("factory.contained.workspace.subprocess.run",
+ return_value=_completed("", returncode=128, stderr="not a git repository")):
+ with pytest.raises(WorkspaceError, match="not a git repository"):
+ _git(tmp_path, ["worktree", "prune"])
+
+
+# --------------------------------------------------------------------------------------------
+# Getting the work back
+# --------------------------------------------------------------------------------------------
+
+
+def test_a_worktree_is_merged_with_git_not_rsync() -> None:
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch="contained/x")
+ hint = merge_hint(ws)
+ assert "git -C /src merge contained/x" in hint
+ assert "rsync" not in hint
+
+
+def test_a_plain_copy_is_merged_with_rsync_and_keeps_git_out_of_it() -> None:
+ """Rsyncing the copy's `.git` over the source's would overwrite the source repository."""
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="copy")
+ hint = merge_hint(ws)
+ assert "rsync -a --exclude .git /copy/ /src/" in hint
+ assert "git merge" not in hint
+
+
+def test_a_worktree_with_no_branch_falls_back_to_the_copy_wording() -> None:
+ """There is nothing to merge from, so naming a branch would be a lie."""
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch=None)
+ assert "rsync" in merge_hint(ws)
+
+
+def test_cleanup_of_a_worktree_names_both_the_registration_and_the_branch() -> None:
+ """Deleting the directory by hand leaves a stale registration that blocks the next run of the
+ same name — the failure names a directory that no longer exists."""
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch="contained/x")
+ hint = cleanup_hint(ws)
+ assert "worktree remove /copy" in hint and "branch -D contained/x" in hint
+
+
+def test_cleanup_of_a_plain_copy_is_a_single_rm() -> None:
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="copy")
+ assert cleanup_hint(ws) == "Remove the copy with: rm -rf /copy"
+
+
+# --------------------------------------------------------------------------------------------
+# release
+# --------------------------------------------------------------------------------------------
+
+
+def test_releasing_a_worktree_keeps_its_branch_by_default() -> None:
+ """The branch is where the run's work is."""
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch="contained/x")
+ with patch("factory.contained.workspace.subprocess.run", return_value=_completed()) as run:
+ release(ws)
+ assert not any("branch" in c.args[0] for c in run.call_args_list)
+
+
+def test_releasing_with_delete_branch_also_removes_the_branch() -> None:
+ """Only for a launch that failed before the factory ever started — provably no work to lose."""
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch="contained/x")
+ with patch("factory.contained.workspace.subprocess.run", return_value=_completed()) as run:
+ release(ws, delete_branch=True)
+ assert any(c.args[0][-2:] == ["-D", "contained/x"] for c in run.call_args_list)
+
+
+def test_a_branch_that_cannot_be_deleted_does_not_turn_cleanup_into_a_second_error() -> None:
+ ws = Workspace(source=Path("/src"), path=Path("/copy"), kind="worktree", branch="contained/x")
+ with patch("factory.contained.workspace.subprocess.run",
+ side_effect=[_completed(), _completed("", returncode=1, stderr="not fully merged")]):
+ release(ws, delete_branch=True)
+
+
+def test_releasing_a_plain_copy_removes_the_directory(tmp_path: Path) -> None:
+ copy = tmp_path / "copy"
+ copy.mkdir()
+ (copy / "f.txt").write_text("x")
+ release(Workspace(source=tmp_path, path=copy, kind="copy"))
+ assert not copy.exists()
+
+
+def test_releasing_a_copy_that_is_already_gone_is_not_an_error(tmp_path: Path) -> None:
+ """Cleanup runs on the failure path, where the thing may already have been removed."""
+ release(Workspace(source=tmp_path, path=tmp_path / "never-existed", kind="copy"))
diff --git a/tests/test_create_plugin.py b/tests/test_create_plugin.py
new file mode 100644
index 000000000..17ea4a8c3
--- /dev/null
+++ b/tests/test_create_plugin.py
@@ -0,0 +1,70 @@
+"""Tests for plugin package generation in CREATE mode."""
+
+from pathlib import Path
+
+from factory.cli._task_builder import _build_ceo_task, _slug
+
+
+class TestSlug:
+ def test_basic(self):
+ assert _slug("approval workflow") == "approval-workflow"
+
+ def test_special_chars(self):
+ assert _slug("My Cool Mode!!! v2") == "my-cool-mode-v2"
+
+ def test_truncation(self):
+ result = _slug("a" * 60)
+ assert len(result) <= 40
+
+ def test_strips_leading_trailing_hyphens(self):
+ assert _slug("---hello---") == "hello"
+
+
+class TestPluginTaskBuilder:
+ def test_plugin_mode_produces_plugin_header(self, tmp_path: Path):
+ task = _build_ceo_task(
+ tmp_path, "create",
+ create_description="approval workflow",
+ plugin_mode=True,
+ )
+ assert "## Create Mode (Plugin Package)" in task
+ assert "plugin_mode:" in task
+ assert "pyproject.toml" in task
+ assert "register_plugin" in task
+
+ def test_plugin_mode_with_folder(self, tmp_path: Path):
+ task = _build_ceo_task(
+ tmp_path, "create",
+ create_description="approval workflow",
+ plugin_mode=True,
+ plugin_folder="/tmp/my-plugin",
+ )
+ assert "/tmp/my-plugin" in task
+ assert "## Create Mode (Plugin Package)" in task
+
+ def test_plugin_mode_default_folder(self, tmp_path: Path):
+ task = _build_ceo_task(
+ tmp_path, "create",
+ create_description="approval workflow",
+ plugin_mode=True,
+ )
+ assert "approval-workflow-plugin" in task
+
+ def test_non_plugin_create_unchanged(self, tmp_path: Path):
+ task = _build_ceo_task(
+ tmp_path, "create",
+ create_description="approval workflow",
+ plugin_mode=False,
+ )
+ assert "## Create Mode (New Factory Mode)" in task
+ assert "## Create Mode (Plugin Package)" not in task
+
+ def test_update_mode_takes_precedence_over_plugin(self, tmp_path: Path):
+ task = _build_ceo_task(
+ tmp_path, "create",
+ create_description="add plugin support",
+ update_existing_mode="create",
+ plugin_mode=True,
+ )
+ assert "## Create Mode (Update Existing Mode)" in task
+ assert "## Create Mode (Plugin Package)" not in task
diff --git a/tests/test_cycle_analyzer.py b/tests/test_cycle_analyzer.py
new file mode 100644
index 000000000..891f28c0f
--- /dev/null
+++ b/tests/test_cycle_analyzer.py
@@ -0,0 +1,636 @@
+"""Tests for CycleAnalyzer and InnerLoop."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from factory.cycle_analyzer import CycleAnalyzer
+from factory.inner_loop import (
+ CirclePackingEvaluator,
+ Evaluator,
+ InnerLoop,
+)
+
+
+# ── Fixtures ──────────────────────────────────────────────────
+
+
+@pytest.fixture()
+def factory_dir(tmp_path: Path) -> Path:
+ d = tmp_path / ".factory"
+ d.mkdir()
+ return d
+
+
+def _write_events(factory_dir: Path, events: list[dict]) -> None:
+ (factory_dir / "events.jsonl").write_text("\n".join(json.dumps(e) for e in events) + "\n")
+
+
+def _write_results_tsv(factory_dir: Path, rows: list[dict]) -> None:
+ cols = [
+ "id",
+ "timestamp",
+ "hypothesis",
+ "change_summary",
+ "issue_number",
+ "pr_number",
+ "score_before",
+ "score_after",
+ "delta",
+ "verdict",
+ "cost_usd",
+ "notes",
+ "research_citations",
+ ]
+ lines = ["\t".join(cols)]
+ for row in rows:
+ lines.append("\t".join(str(row.get(c, "")) for c in cols))
+ (factory_dir / "results.tsv").write_text("\n".join(lines) + "\n")
+
+
+def _make_events(
+ *,
+ n_experiments: int = 2,
+ verdicts: list[str] | None = None,
+ scores: list[float] | None = None,
+ agent_costs: list[float] | None = None,
+) -> list[dict]:
+ if verdicts is None:
+ verdicts = ["keep"] * n_experiments
+ if scores is None:
+ scores = [0.5 + 0.1 * i for i in range(n_experiments)]
+ if agent_costs is None:
+ agent_costs = [1.0] * n_experiments
+
+ events: list[dict] = []
+
+ for i in range(n_experiments):
+ minute = i * 15
+ events.append(
+ {
+ "type": "experiment.begin",
+ "timestamp": f"2026-07-22T10:{minute:02d}:00+00:00",
+ "project": "test",
+ "agent": None,
+ "data": {"exp_id": i + 1, "hypothesis": f"hypothesis {i + 1}"},
+ }
+ )
+ events.append(
+ {
+ "type": "agent.started",
+ "timestamp": f"2026-07-22T10:{minute:02d}:01+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {},
+ }
+ )
+ events.append(
+ {
+ "type": "agent.completed",
+ "timestamp": f"2026-07-22T10:{minute + 5:02d}:00+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {
+ "return_code": 0,
+ "total_cost_usd": agent_costs[i],
+ "output_tokens": 1000,
+ "duration_ms": 300000,
+ },
+ }
+ )
+ events.append(
+ {
+ "type": "eval.completed",
+ "timestamp": f"2026-07-22T10:{minute + 6:02d}:00+00:00",
+ "project": "test",
+ "agent": None,
+ "data": {"composite": scores[i], "passed": True},
+ }
+ )
+ events.append(
+ {
+ "type": "experiment.finalize",
+ "timestamp": f"2026-07-22T10:{minute + 7:02d}:00+00:00",
+ "project": "test",
+ "agent": None,
+ "data": {
+ "exp_id": i + 1,
+ "verdict": verdicts[i],
+ "hypothesis": f"hypothesis {i + 1}",
+ },
+ }
+ )
+ return events
+
+
+# ── CycleAnalyzer Tests ──────────────────────────────────────
+
+
+class TestCycleAnalyzerEmpty:
+ def test_empty_factory_dir(self, factory_dir: Path) -> None:
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.experiments == []
+ assert r.score_trajectory == []
+ assert r.total_cost_usd == 0.0
+
+ def test_no_events_file(self, factory_dir: Path) -> None:
+ a = CycleAnalyzer(factory_dir)
+ assert a.trajectory() == []
+
+ def test_empty_events_file(self, factory_dir: Path) -> None:
+ (factory_dir / "events.jsonl").write_text("")
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.steps == []
+
+
+class TestCycleAnalyzerParseEvents:
+ def test_skips_malformed_json(self, factory_dir: Path) -> None:
+ (factory_dir / "events.jsonl").write_text(
+ "not json\n"
+ '{"type": "detect", "timestamp": "2026-07-22T10:00:00Z", "data": {}}\n'
+ "{invalid}\n"
+ )
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+
+ def test_skips_schema_invalid_events(self, factory_dir: Path) -> None:
+ (factory_dir / "events.jsonl").write_text(
+ json.dumps({"no_type": True, "timestamp": "2026-07-22T10:00:00Z"})
+ + "\n"
+ + json.dumps({"type": "test", "no_timestamp": True})
+ + "\n"
+ + json.dumps({"type": "detect", "timestamp": "2026-07-22T10:00:00Z", "data": {}})
+ + "\n"
+ )
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+
+ def test_extracts_experiments(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=2, verdicts=["keep", "revert"])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert len(r.experiments) == 2
+ assert r.experiments[0].verdict == "keep"
+ assert r.experiments[1].verdict == "revert"
+
+ def test_extracts_agent_steps(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1)
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert len(r.steps) == 1
+ assert r.steps[0].role == "builder"
+ assert r.steps[0].succeeded is True
+
+ def test_extracts_failed_agent(self, factory_dir: Path) -> None:
+ events = [
+ {
+ "type": "agent.started",
+ "timestamp": "2026-07-22T10:00:00+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {},
+ },
+ {
+ "type": "agent.failed",
+ "timestamp": "2026-07-22T10:05:00+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {"return_code": 1, "stderr": "timed out"},
+ },
+ ]
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert len(r.steps) == 1
+ assert r.steps[0].succeeded is False
+ assert r.steps[0].error == "timed out"
+
+ def test_extracts_scores(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=3, scores=[0.5, 0.7, 0.9])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.score_trajectory == [0.5, 0.7, 0.9]
+ assert r.score_start == 0.5
+ assert r.score_end == 0.9
+
+ def test_computes_cost(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=2, agent_costs=[1.5, 2.5])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.total_cost_usd == 4.0
+ assert r.cost_by_agent == {"builder": 4.0}
+
+ def test_computes_experiment_cost(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1, agent_costs=[3.0])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.experiments[0].cost_usd == 3.0
+
+
+class TestCycleAnalyzerResultsTsv:
+ def test_enriches_from_tsv(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1, verdicts=["keep"])
+ _write_events(factory_dir, events)
+ _write_results_tsv(
+ factory_dir,
+ [
+ {
+ "id": "1",
+ "hypothesis": "better hypothesis",
+ "score_before": "0.3",
+ "score_after": "0.5",
+ "verdict": "keep",
+ },
+ ],
+ )
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.experiments[0].score_before == 0.3
+ assert r.experiments[0].score_after == 0.5
+ assert r.experiments[0].score_delta == pytest.approx(0.2)
+
+ def test_adds_missing_experiments(self, factory_dir: Path) -> None:
+ _write_results_tsv(
+ factory_dir,
+ [
+ {
+ "id": "1",
+ "hypothesis": "h1",
+ "score_before": "0.3",
+ "score_after": "0.5",
+ "verdict": "keep",
+ },
+ {
+ "id": "2",
+ "hypothesis": "h2",
+ "score_before": "0.5",
+ "score_after": "0.4",
+ "verdict": "revert",
+ },
+ ],
+ )
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert len(r.experiments) == 2
+ assert r.kept == 1
+ assert r.reverted == 1
+
+ def test_tsv_scores_override_events(self, factory_dir: Path) -> None:
+ _write_results_tsv(
+ factory_dir,
+ [
+ {"id": "1", "score_after": "0.5", "verdict": "keep"},
+ {"id": "2", "score_after": "0.8", "verdict": "keep"},
+ {"id": "3", "score_after": "1.0", "verdict": "keep"},
+ ],
+ )
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.score_trajectory == [0.5, 0.8, 1.0]
+
+
+class TestCycleAnalyzerEvalArtifacts:
+ def test_discovers_eval_files(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1, verdicts=["keep"])
+ _write_events(factory_dir, events)
+ exp_dir = factory_dir / "experiments" / "1"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "eval_after.json").write_text('{"combined_score": 0.85}')
+ (exp_dir / "candidate.py").write_text("print('hello')")
+ (exp_dir / "hypothesis.md").write_text("test")
+
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ artifacts = r.experiments[0].eval_artifacts
+ assert any("eval_after.json" in a for a in artifacts)
+ assert any("candidate.py" in a for a in artifacts)
+ assert not any("hypothesis.md" in a for a in artifacts)
+
+ def test_discovers_zero_padded_dirs(self, factory_dir: Path) -> None:
+ _write_results_tsv(
+ factory_dir,
+ [
+ {"id": "1", "verdict": "keep"},
+ ],
+ )
+ exp_dir = factory_dir / "experiments" / "001"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "eval_after.json").write_text("{}")
+
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert len(r.experiments[0].eval_artifacts) == 1
+
+
+class TestCycleAnalyzerConvergence:
+ def test_consecutive_reverts(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=3, verdicts=["keep", "revert", "revert"])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.consecutive_reverts == 2
+
+ def test_no_trailing_reverts(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=2, verdicts=["revert", "keep"])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.consecutive_reverts == 0
+
+ def test_keep_rate(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=4, verdicts=["keep", "revert", "keep", "revert"])
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.keep_rate == 0.5
+
+
+class TestCycleAnalyzerApi:
+ def test_trajectory(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=2, scores=[0.5, 0.8])
+ _write_events(factory_dir, events)
+ assert CycleAnalyzer(factory_dir).trajectory() == [0.5, 0.8]
+
+ def test_duration(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1)
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.duration_s > 0
+
+
+class TestCycleAnalyzerDagMapping:
+ def test_node_trace_with_workflow(self, factory_dir: Path) -> None:
+ from factory.workflow.definitions import build_workflow
+
+ events = [
+ {
+ "type": "agent.started",
+ "timestamp": "2026-07-22T10:00:00+00:00",
+ "project": "test",
+ "agent": "researcher",
+ "data": {},
+ },
+ {
+ "type": "agent.completed",
+ "timestamp": "2026-07-22T10:05:00+00:00",
+ "project": "test",
+ "agent": "researcher",
+ "data": {"return_code": 0, "total_cost_usd": 1.0},
+ },
+ ]
+ _write_events(factory_dir, events)
+ wf = build_workflow()
+ r = CycleAnalyzer(factory_dir, workflow=wf).latest()
+ assert r is not None
+ assert len(r.node_trace) > 0
+ assert "researcher_similar" in r.node_trace
+ assert r.node_trace["researcher_similar"].role == "researcher"
+ assert r.node_trace["researcher_similar"].event is not None
+ assert r.node_trace["researcher_similar"].event["cost_usd"] == 1.0
+
+ def test_node_trace_without_workflow(self, factory_dir: Path) -> None:
+ events = _make_events(n_experiments=1)
+ _write_events(factory_dir, events)
+ r = CycleAnalyzer(factory_dir).latest()
+ assert r is not None
+ assert r.node_trace == {}
+
+ def test_agent_step_maps_to_node(self, factory_dir: Path) -> None:
+ from factory.workflow.definitions import build_workflow
+
+ events = [
+ {
+ "type": "agent.started",
+ "timestamp": "2026-07-22T10:00:00+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {},
+ },
+ {
+ "type": "agent.completed",
+ "timestamp": "2026-07-22T10:05:00+00:00",
+ "project": "test",
+ "agent": "builder",
+ "data": {"return_code": 0, "total_cost_usd": 2.0},
+ },
+ ]
+ _write_events(factory_dir, events)
+ wf = build_workflow()
+ r = CycleAnalyzer(factory_dir, workflow=wf).latest()
+ assert r is not None
+ assert r.steps[0].node_id == "builder"
+ assert len(r.steps[0].produced) > 0
+
+
+# ── CirclePackingEvaluator Tests ──────────────────────────────
+
+
+class TestCirclePackingEvaluator:
+ def test_parse_valid(self, tmp_path: Path) -> None:
+ f = tmp_path / "eval.json"
+ f.write_text(
+ json.dumps(
+ {
+ "sum_radii": 2.1,
+ "target_ratio": 0.8,
+ "validity": 1.0,
+ "eval_time": 1.5,
+ "combined_score": 0.8,
+ }
+ )
+ )
+ r = CirclePackingEvaluator().parse(f)
+ assert r.score == 0.8
+ assert r.valid is True
+ assert r.metrics["sum_radii"] == 2.1
+
+ def test_parse_invalid_validity(self, tmp_path: Path) -> None:
+ f = tmp_path / "eval.json"
+ f.write_text(json.dumps({"validity": 0.0, "combined_score": 0.3}))
+ r = CirclePackingEvaluator().parse(f)
+ assert r.valid is False
+
+ def test_parse_missing_file(self) -> None:
+ r = CirclePackingEvaluator().parse(Path("/nonexistent/file.json"))
+ assert r.score == 0.0
+ assert r.valid is False
+
+ def test_parse_malformed_json(self, tmp_path: Path) -> None:
+ f = tmp_path / "bad.json"
+ f.write_text("not json")
+ r = CirclePackingEvaluator().parse(f)
+ assert r.score == 0.0
+ assert r.valid is False
+
+ def test_parse_empty_file(self, tmp_path: Path) -> None:
+ f = tmp_path / "empty.json"
+ f.write_text("")
+ r = CirclePackingEvaluator().parse(f)
+ assert r.score == 0.0
+
+ def test_parse_many_picks_best(self, tmp_path: Path) -> None:
+ for i, score in enumerate([0.3, 0.9, 0.6]):
+ f = tmp_path / f"eval_{i}.json"
+ f.write_text(json.dumps({"combined_score": score, "validity": 1.0}))
+ files = [tmp_path / f"eval_{i}.json" for i in range(3)]
+ r = CirclePackingEvaluator().parse_many(files)
+ assert r.score == 0.9
+
+ def test_parse_many_empty_list(self) -> None:
+ r = CirclePackingEvaluator().parse_many([])
+ assert r.score == 0.0
+ assert r.valid is False
+
+ def test_parse_many_all_invalid(self, tmp_path: Path) -> None:
+ for i in range(2):
+ f = tmp_path / f"bad_{i}.json"
+ f.write_text("not json")
+ files = [tmp_path / f"bad_{i}.json" for i in range(2)]
+ r = CirclePackingEvaluator().parse_many(files)
+ assert r.score == 0.0
+
+ def test_satisfies_evaluator_protocol(self) -> None:
+ assert isinstance(CirclePackingEvaluator(), Evaluator)
+
+ def test_get_info(self) -> None:
+ info = CirclePackingEvaluator(target=3.0).get_info()
+ assert info["benchmark"] == "circle_packing"
+ assert info["target"] == 3.0
+
+
+# ── InnerLoop Tests ──────────────────────────────────────────
+
+
+class TestInnerLoopCollect:
+ def test_collect_empty(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ r = loop.collect()
+ assert r.mode == "evolve"
+ assert r.experiments == []
+
+ def test_collect_with_data(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ fd = proj / ".factory"
+ fd.mkdir()
+ _write_results_tsv(
+ fd,
+ [
+ {
+ "id": "1",
+ "hypothesis": "h1",
+ "score_before": "0.3",
+ "score_after": "0.5",
+ "verdict": "keep",
+ },
+ ],
+ )
+ loop = InnerLoop(proj, mode="evolve")
+ r = loop.collect()
+ assert r.mode == "evolve"
+ assert len(r.experiments) == 1
+ assert r.experiments[0].score_after == 0.5
+
+ def test_collect_with_evaluator(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ fd = proj / ".factory"
+ fd.mkdir()
+ events = _make_events(n_experiments=1, verdicts=["keep"])
+ _write_events(fd, events)
+ exp_dir = fd / "experiments" / "1"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "eval_after.json").write_text(
+ json.dumps(
+ {
+ "combined_score": 0.85,
+ "validity": 1.0,
+ "sum_radii": 2.1,
+ }
+ )
+ )
+
+ evaluator = CirclePackingEvaluator()
+ loop = InnerLoop(proj, mode="evolve", evaluator=evaluator)
+ r = loop.collect()
+ assert r.experiments[0].score_after == 0.85
+ assert r.score_end == 0.85
+
+
+class TestInnerLoopMethods:
+ def test_score_trajectory_empty(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ assert loop.score_trajectory() == []
+
+ def test_total_cost_empty(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ assert loop.total_cost() == 0.0
+
+ def test_history_empty(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ assert loop.history() == []
+
+
+class TestInnerLoopDirectives:
+ def test_write_directives(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ loop._write_directives(
+ {
+ "prefer_categories": ["algorithm-change"],
+ "target_score": 1.0,
+ }
+ )
+ msg_dir = proj / ".factory" / "messages"
+ assert msg_dir.exists()
+ files = list(msg_dir.iterdir())
+ assert len(files) == 1
+ content = files[0].read_text()
+ assert "algorithm-change" in content
+ assert "target_score" in content
+
+ def test_write_directives_increments(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="evolve")
+ loop._write_directives({"a": 1})
+ loop._step_count = 1
+ loop._write_directives({"b": 2})
+ msg_dir = proj / ".factory" / "messages"
+ assert len(list(msg_dir.iterdir())) == 2
+
+
+class TestInnerLoopModePropagate:
+ def test_mode_set_without_workflow(self, tmp_path: Path) -> None:
+ proj = tmp_path / "project"
+ proj.mkdir()
+ (proj / ".factory").mkdir()
+ loop = InnerLoop(proj, mode="research")
+ r = loop.collect()
+ assert r.mode == "research"
diff --git a/tests/test_dashboard.py b/tests/test_dashboard.py
index 5d37ac41a..19062edad 100644
--- a/tests/test_dashboard.py
+++ b/tests/test_dashboard.py
@@ -393,13 +393,13 @@ def test_dashboard_parser_custom(self):
class TestBanner:
def test_banner_function_exists(self):
- from factory.cli import _print_banner
+ from factory.cli._helpers import _print_banner
# Should not raise
_print_banner("improve")
def test_banner_no_color(self, monkeypatch, capsys):
monkeypatch.setenv("NO_COLOR", "1")
- from factory.cli import _print_banner
+ from factory.cli._helpers import _print_banner
_print_banner("meta")
captured = capsys.readouterr()
assert "Factory v2" in captured.err
@@ -460,7 +460,9 @@ def phase_projects_dir(tmp_path: Path) -> Path:
(factory / "reviews" / "researcher-latest.md").write_text("Researcher output here")
(factory / "reviews" / "strategist-latest.md").write_text("Strategist output here")
(factory / "reviews" / "builder-latest.md").write_text("Builder output here")
- (factory / "reviews" / "qa-latest.md").write_text("QA output here")
+ (factory / "reviews" / "health-check.md").write_text("Health check output here")
+ (factory / "reviews" / "code-review.md").write_text("Code review output here")
+ (factory / "reviews" / "adversarial-qa.md").write_text("Adversarial QA output here")
(factory / "reviews" / "archivist-latest.md").write_text("Archivist output here")
(factory / "reviews" / "session-summary.md").write_text("# Session Summary\nAll good.")
@@ -541,8 +543,8 @@ def phase_projects_dir(tmp_path: Path) -> Path:
emit_event(proj, "experiment.begin", data={"exp_id": 1, "hypothesis": "Add structlog"})
emit_event(proj, "agent.started", agent="builder", data={"task": "implement"})
emit_event(proj, "agent.completed", agent="builder", data={"return_code": 0})
- emit_event(proj, "agent.started", agent="qa", data={"task": "verify"})
- emit_event(proj, "agent.completed", agent="qa", data={"return_code": 0})
+ emit_event(proj, "agent.started", agent="health_checker", data={"task": "verify"})
+ emit_event(proj, "agent.completed", agent="health_checker", data={"return_code": 0})
emit_event(proj, "eval.started", data={"command": "python eval/score.py"})
emit_event(proj, "eval.completed", data={"composite": 0.78, "passed": True, "dimensions": 2})
@@ -692,7 +694,9 @@ def test_review_phase(self, phase_client: TestClient):
body = resp.json()
assert body["status"] == "completed"
data = body["data"]
- assert data["agent_output"] == "QA output here"
+ assert "Health check output here" in data["agent_output"]
+ assert "Code review output here" in data["agent_output"]
+ assert "Adversarial QA output here" in data["agent_output"]
verdict = body["verdict"]
assert verdict["decision"] == "ABORT"
@@ -747,8 +751,8 @@ def test_state_includes_phases_list(self, phase_client: TestClient):
assert "loop_phases" in state
def test_mode_specific_phase_accepted(self, phase_projects_dir: Path):
- """Improve mode phase names should be accepted by phase-detail."""
- proj = phase_projects_dir / "proj-improve"
+ """Design mode phase names should be accepted by phase-detail."""
+ proj = phase_projects_dir / "proj-design"
factory = proj / ".factory"
factory.mkdir(parents=True)
(factory / "config.json").write_text('{"goal":"test"}')
@@ -758,7 +762,7 @@ def test_mode_specific_phase_accepted(self, phase_projects_dir: Path):
(factory / "reviews" / "researcher-latest.md").write_text("Output")
from factory.events import emit_event
- emit_event(proj, "cycle.started", data={"mode": "improve"})
+ emit_event(proj, "cycle.started", data={"mode": "design"})
emit_event(proj, "agent.started", agent="researcher", data={"task": "study"})
emit_event(proj, "agent.completed", agent="researcher")
emit_event(proj, "agent.started", agent="strategist", data={"task": "plan"})
@@ -766,10 +770,10 @@ def test_mode_specific_phase_accepted(self, phase_projects_dir: Path):
app = create_app(phase_projects_dir)
c = TestClient(app)
- resp = c.get("/api/projects/proj-improve/phase-detail/Observe")
+ resp = c.get("/api/projects/proj-design/phase-detail/Research")
assert resp.status_code == 200
body = resp.json()
- assert body["phase"] == "Observe"
+ assert body["phase"] == "Research"
assert body["status"] == "completed"
assert "Findings here" in body["data"]["research"]
diff --git a/tests/test_deprecation.py b/tests/test_deprecation.py
new file mode 100644
index 000000000..1583a3822
--- /dev/null
+++ b/tests/test_deprecation.py
@@ -0,0 +1,122 @@
+"""Tests for CLI mode deprecation warnings."""
+
+from __future__ import annotations
+
+from unittest.mock import patch
+
+import pytest
+import structlog
+
+from factory.cli._helpers import DEPRECATED_MODES, CEO_MODES, RUN_MODES, warn_deprecated_mode
+
+
+EXPECTED_DEPRECATED = frozenset(
+ {
+ "build",
+ "improve",
+ "research",
+ "meta",
+ "discover",
+ "review",
+ "refine",
+ "parallel-improve",
+ "interactive",
+ }
+)
+
+
+def test_deprecated_modes_exact_set():
+ assert DEPRECATED_MODES == EXPECTED_DEPRECATED
+
+
+def test_deprecated_modes_subset_of_known_modes():
+ all_known = set(CEO_MODES) | set(RUN_MODES) | {"interactive", "refine", "review"}
+ for mode in DEPRECATED_MODES:
+ assert mode in all_known, f"{mode} is deprecated but not a known CLI mode"
+
+
+class TestWarnDeprecatedMode:
+ def test_deprecated_mode_emits_structlog(self):
+ cfg = structlog.get_config()
+ old_processors = cfg.get("processors", [])
+ try:
+ structlog.configure(processors=[structlog.dev.ConsoleRenderer()])
+ log = structlog.get_logger()
+ with patch.object(log, "warning") as mock_warn:
+ from factory.cli import _helpers
+
+ orig_log = _helpers.log
+ _helpers.log = log
+ try:
+ warn_deprecated_mode("build")
+ finally:
+ _helpers.log = orig_log
+ mock_warn.assert_called_once_with(
+ "deprecated_cli_mode", mode="build", replacement="design"
+ )
+ finally:
+ structlog.configure(processors=old_processors)
+
+ def test_deprecated_mode_prints_stderr(self, capsys):
+ with patch("factory.cli._helpers.log"):
+ warn_deprecated_mode("build")
+ captured = capsys.readouterr()
+ assert "WARNING" in captured.err
+ assert "--mode build is deprecated" in captured.err
+ assert "--mode design instead" in captured.err
+ assert "remains functional" in captured.err
+
+ def test_interactive_has_alias_note(self, capsys):
+ with patch("factory.cli._helpers.log"):
+ warn_deprecated_mode("interactive")
+ captured = capsys.readouterr()
+ assert "alias for 'design'" in captured.err
+
+ def test_create_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("create")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ def test_design_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("design")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ def test_auto_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("auto")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ def test_swebench_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("swebench")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ def test_qa_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("qa")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ def test_deep_qa_not_deprecated(self, capsys):
+ with patch("factory.cli._helpers.log") as mock_log:
+ warn_deprecated_mode("deep-qa")
+ mock_log.warning.assert_not_called()
+ captured = capsys.readouterr()
+ assert captured.err == ""
+
+ @pytest.mark.parametrize("mode", sorted(EXPECTED_DEPRECATED))
+ def test_all_deprecated_modes_warn(self, mode, capsys):
+ with patch("factory.cli._helpers.log"):
+ warn_deprecated_mode(mode)
+ captured = capsys.readouterr()
+ assert f"--mode {mode} is deprecated" in captured.err
diff --git a/tests/test_discovery_spec.py b/tests/test_discovery_spec.py
index fe7eb6bb8..a2338b5d5 100644
--- a/tests/test_discovery_spec.py
+++ b/tests/test_discovery_spec.py
@@ -1,259 +1,34 @@
-"""Tests for factory.discovery.spec — SPEC.md resolution and generation."""
+"""Tests for factory.discovery.spec — SPEC resolution and generation."""
from __future__ import annotations
-import json
from pathlib import Path
-from unittest.mock import patch
+from unittest.mock import AsyncMock, patch
from factory.discovery.spec import (
- _fetch_github_issues,
- _read_readme_summary,
- _read_top_level_deps,
generate_spec,
resolve_spec,
)
-from factory.models import ProjectProfile
-def _make_profile(**overrides) -> ProjectProfile:
- defaults = {
- "name": "test-project",
- "language": "python",
- "project_type": "cli_tool",
- "has_tests": True,
- "has_linter": True,
- "has_type_checker": True,
- "has_ci": False,
- "test_command": "pytest -v",
- "lint_command": "ruff check .",
- "type_check_command": "mypy .",
- "package_manager": "uv",
- }
- defaults.update(overrides)
- return ProjectProfile(**defaults)
-
-
-def test_resolve_spec_committed(tmp_path: Path):
+def test_resolve_spec_found(tmp_path: Path):
(tmp_path / "SPEC.md").write_text("# Spec")
- path, source = resolve_spec(tmp_path)
- assert source == "committed"
- assert path == tmp_path / "SPEC.md"
-
-
-def test_resolve_spec_generated(tmp_path: Path):
- factory_dir = tmp_path / ".factory"
- factory_dir.mkdir()
- (factory_dir / "SPEC.md").write_text("# Generated Spec")
- path, source = resolve_spec(tmp_path)
- assert source == "generated"
- assert path == factory_dir / "SPEC.md"
-
-
-def test_resolve_spec_committed_takes_priority(tmp_path: Path):
- (tmp_path / "SPEC.md").write_text("# Committed")
- factory_dir = tmp_path / ".factory"
- factory_dir.mkdir()
- (factory_dir / "SPEC.md").write_text("# Generated")
- path, source = resolve_spec(tmp_path)
- assert source == "committed"
+ path = resolve_spec(tmp_path)
assert path == tmp_path / "SPEC.md"
def test_resolve_spec_absent(tmp_path: Path):
- path, source = resolve_spec(tmp_path)
- assert source == "absent"
+ path = resolve_spec(tmp_path)
assert path is None
-def test_generate_spec_format(tmp_path: Path):
- profile = _make_profile(name="my-app")
- output = generate_spec(tmp_path, profile)
- assert output.startswith("# my-app Specification")
- assert "## 1. Project Identity" in output
- assert "## 2. Goals" in output
- assert "## 3. Technical Stack" in output
- assert "## 4. Architecture" in output
- assert "## 5. Eval Dimensions" in output
- assert "## 6. Known Issues" in output
- assert "## 7. Backlog" in output
- assert "RFC 2119" in output
-
-
-def test_generate_spec_captures_profile_data(tmp_path: Path):
- profile = _make_profile(
- language="python",
- framework="fastapi",
- test_command="pytest -v",
- )
- output = generate_spec(tmp_path, profile)
- assert "python" in output
- assert "fastapi" in output
- assert "pytest -v" in output
-
-
-def test_generate_spec_reads_readme(tmp_path: Path):
- (tmp_path / "README.md").write_text("# My Project\n\nThis is a great tool for testing.\n")
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "This is a great tool for testing." in output
-
-
-def test_generate_spec_no_readme(tmp_path: Path):
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "Goals not yet documented." in output
-
-
-def test_generate_spec_detects_source_dirs(tmp_path: Path):
- pkg = tmp_path / "mypackage"
- pkg.mkdir()
- (pkg / "__init__.py").write_text("")
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "mypackage" in output
-
-
-# ── _read_top_level_deps ──────────────────────────────────────────
-
-
-def test_read_top_level_deps_python_pyproject(tmp_path: Path):
- (tmp_path / "pyproject.toml").write_text(
- "[project]\n"
- 'name = "demo"\n'
- "dependencies = [\n"
- ' "requests>=2.28",\n'
- ' "click==8.1",\n'
- ' "pydantic[email]>=2.0",\n'
- "]\n"
- )
- deps = _read_top_level_deps(tmp_path, "python")
- assert "requests" in deps
- assert "click" in deps
- assert "pydantic" in deps
-
-
-def test_read_top_level_deps_typescript_package_json(tmp_path: Path):
- (tmp_path / "package.json").write_text(json.dumps({
- "name": "demo",
- "dependencies": {"express": "^4.18", "lodash": "^4.17"},
- }))
- deps = _read_top_level_deps(tmp_path, "typescript")
- assert "express" in deps
- assert "lodash" in deps
-
-
-def test_read_top_level_deps_no_matching_files(tmp_path: Path):
- assert _read_top_level_deps(tmp_path, "python") == []
- assert _read_top_level_deps(tmp_path, "typescript") == []
- assert _read_top_level_deps(tmp_path, "go") == []
-
-
-# ── generate_spec with eval_profile.json ──────────────────────────
-
-
-def test_generate_spec_with_eval_profile(tmp_path: Path):
- factory_dir = tmp_path / ".factory"
- factory_dir.mkdir()
- (factory_dir / "eval_profile.json").write_text(json.dumps({
- "dimensions": [
- {"name": "test_coverage", "weight": 0.4, "source": "pytest"},
- {"name": "lint_score", "weight": 0.3, "source": "ruff"},
- ],
- }))
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "test_coverage" in output
- assert "weight: 0.4" in output
- assert "lint_score" in output
- assert "source: ruff" in output
-
-
-# ── generate_spec with backlog ────────────────────────────────────
-
-
-def test_generate_spec_with_backlog_items(tmp_path: Path):
- strategy_dir = tmp_path / ".factory" / "strategy"
- strategy_dir.mkdir(parents=True)
- (strategy_dir / "backlog.md").write_text("- Add auth flow\n- Fix logging\n")
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "Add auth flow" in output
- assert "Fix logging" in output
-
-
-def test_generate_spec_with_empty_backlog(tmp_path: Path):
- strategy_dir = tmp_path / ".factory" / "strategy"
- strategy_dir.mkdir(parents=True)
- (strategy_dir / "backlog.md").write_text("")
- profile = _make_profile()
- output = generate_spec(tmp_path, profile)
- assert "No backlog items." in output
-
-
-# ── _fetch_github_issues graceful failure ─────────────────────────
-
-
-def test_fetch_github_issues_graceful_when_gh_unavailable(tmp_path: Path):
- with patch("subprocess.run", side_effect=FileNotFoundError):
- result = _fetch_github_issues(tmp_path)
- assert result == []
-
-
-# ── generate_spec for TypeScript project ──────────────────────────
-
-
-def test_generate_spec_typescript_source_dirs(tmp_path: Path):
- src = tmp_path / "src"
- src.mkdir()
- (src / "index.ts").write_text("export default {}")
- profile = _make_profile(language="typescript")
- output = generate_spec(tmp_path, profile)
- assert "`src/`" in output
-
-
-# ── generate_spec for Go project ─────────────────────────────────
-
-
-def test_generate_spec_go_source_dirs(tmp_path: Path):
- cmd = tmp_path / "cmd"
- cmd.mkdir()
- (cmd / "main.go").write_text("package main")
- profile = _make_profile(language="go")
- output = generate_spec(tmp_path, profile)
- assert "`cmd/`" in output
-
-
-# ── _read_readme_summary edge cases ──────────────────────────────
-
-
-def test_read_readme_summary_rst(tmp_path: Path):
- (tmp_path / "README.rst").write_text(
- "My Project\n==========\n\nA tool for data analysis.\n"
- )
- result = _read_readme_summary(tmp_path)
- assert result == "My Project"
-
-
-def test_read_readme_summary_heading_only(tmp_path: Path):
- (tmp_path / "README.md").write_text("# My Project\n")
- result = _read_readme_summary(tmp_path)
- assert result == "Goals not yet documented."
-
-
-# ── study.py SPEC.md section ─────────────────────────────────────
-
-
-def test_study_project_local_with_spec(tmp_path: Path):
- (tmp_path / "SPEC.md").write_text("# Test Spec\n\nSome spec content.\n")
- from factory.study import study_project_local
- output = study_project_local(tmp_path)
- assert "## SPEC.md" in output
- assert "committed" in output
+def test_generate_spec_delegates_to_spec_module(tmp_path: Path):
+ spec_path = tmp_path / "SPEC.md"
+ spec_path.write_text("# SPEC\n\nGenerated content.")
+ mock_generate = AsyncMock(return_value=spec_path)
+ with patch("factory.spec.generate.generate_spec", mock_generate):
+ result = generate_spec(tmp_path)
-def test_study_project_local_without_spec(tmp_path: Path):
- from factory.study import study_project_local
- output = study_project_local(tmp_path)
- assert "## SPEC.md" in output
- assert "No SPEC.md found" in output
+ mock_generate.assert_awaited_once_with(tmp_path)
+ assert result == "# SPEC\n\nGenerated content."
diff --git a/tests/test_event_enrichment.py b/tests/test_event_enrichment.py
index 2c68ea8dd..7b22a4415 100644
--- a/tests/test_event_enrichment.py
+++ b/tests/test_event_enrichment.py
@@ -185,7 +185,7 @@ def test_cmd_finalize_emits_enriched_event(tmp_path: Path) -> None:
mock_store = MagicMock()
with patch("factory.store.ExperimentStore", return_value=mock_store), \
- patch("factory.cli._run", return_value=None):
+ patch("factory.cli.store._run", return_value=None):
from factory.cli import cmd_finalize
cmd_finalize(ns)
@@ -202,6 +202,42 @@ def test_cmd_finalize_emits_enriched_event(tmp_path: Path) -> None:
assert data["cost_usd"] == 2.50
+def test_finalize_autodetects_pr_number(tmp_path: Path) -> None:
+ """cmd_finalize auto-detects PR number via gh when args.pr is None."""
+ project = tmp_path / "proj"
+ project.mkdir()
+ _setup_factory_dir(project)
+
+ ns = argparse.Namespace(
+ path=str(project),
+ id=1,
+ verdict="keep",
+ hypothesis="Auto PR detection",
+ summary="Testing auto PR",
+ cost=1.00,
+ issue=42,
+ pr=None,
+ score_before=0.50,
+ score_after=0.60,
+ notes="",
+ force=True,
+ )
+
+ mock_store = MagicMock()
+ fake_gh_result = MagicMock(returncode=0, stdout=b"123\n")
+
+ with patch("factory.store.ExperimentStore", return_value=mock_store), \
+ patch("factory.cli.store._run", return_value=None), \
+ patch("subprocess.run", return_value=fake_gh_result):
+ from factory.cli import cmd_finalize
+ cmd_finalize(ns)
+
+ events = load_events(project)
+ finalize_events = [e for e in events if e["type"] == "experiment.finalize"]
+ assert len(finalize_events) == 1
+ assert finalize_events[0]["data"]["pr_number"] == 123
+
+
def test_finalize_event_with_null_scores(tmp_path: Path) -> None:
project = tmp_path / "proj"
project.mkdir()
@@ -225,7 +261,7 @@ def test_finalize_event_with_null_scores(tmp_path: Path) -> None:
mock_store = MagicMock()
with patch("factory.store.ExperimentStore", return_value=mock_store), \
- patch("factory.cli._run", return_value=None), \
+ patch("factory.cli.store._run", return_value=None), \
patch("factory.events.load_events", return_value=[]), \
patch("factory.events.sum_agent_costs", return_value=0.0):
from factory.cli import cmd_finalize
@@ -413,7 +449,7 @@ def test_finalize_auto_cost_from_events(tmp_path: Path) -> None:
mock_store = MagicMock()
with patch("factory.store.ExperimentStore", return_value=mock_store), \
- patch("factory.cli._run", return_value=None):
+ patch("factory.cli.store._run", return_value=None):
from factory.cli import cmd_finalize
cmd_finalize(ns)
@@ -429,7 +465,7 @@ def test_finalize_auto_cost_from_events(tmp_path: Path) -> None:
def test_emit_cli_event_exception_swallowed(tmp_path: Path) -> None:
"""_emit_cli_event silently swallows emit_event failures."""
- from factory.cli import _emit_cli_event
+ from factory.cli._helpers import _emit_cli_event
project = tmp_path / "proj"
project.mkdir()
@@ -491,7 +527,7 @@ class FakePreCheckResult:
mock_store.load_history = MagicMock(return_value=[])
with patch("factory.store.ExperimentStore", return_value=mock_store), \
- patch("factory.cli._run", side_effect=[[], None]), \
+ patch("factory.cli.store._run", side_effect=[[], None]), \
patch("factory.precheck.run_precheck", return_value=failed_result):
from factory.cli import cmd_finalize
cmd_finalize(ns)
@@ -519,6 +555,7 @@ def test_create_worktree_cleans_existing_factory_dir(tmp_path: Path) -> None:
project = tmp_path / "proj"
project.mkdir()
_setup_factory_dir(project)
+ (project / ".factory" / "config.json").write_text("{}")
def fake_subprocess_run(cmd, **kwargs):
if cmd[0] == "git" and "worktree" in cmd and "add" in cmd:
@@ -533,8 +570,10 @@ def fake_subprocess_run(cmd, **kwargs):
wt_path, branch = create_worktree(project, "main")
wt_factory = wt_path / ".factory"
- assert wt_factory.is_symlink()
- assert wt_factory.resolve() == (project / ".factory").resolve()
+ assert wt_factory.is_dir() and not wt_factory.is_symlink()
+ assert (wt_factory / "config.json").is_symlink()
+ assert (wt_factory / "strategy").is_dir()
+ assert not (wt_factory / "dummy.txt").exists()
@pytest.mark.real_worktree
@@ -543,6 +582,7 @@ def test_create_worktree_cleans_existing_factory_symlink(tmp_path: Path) -> None
project = tmp_path / "proj"
project.mkdir()
_setup_factory_dir(project)
+ (project / ".factory" / "config.json").write_text("{}")
def fake_subprocess_run(cmd, **kwargs):
if cmd[0] == "git" and "worktree" in cmd and "add" in cmd:
@@ -558,8 +598,9 @@ def fake_subprocess_run(cmd, **kwargs):
wt_path, branch = create_worktree(project, "main")
wt_factory = wt_path / ".factory"
- assert wt_factory.is_symlink()
- assert wt_factory.resolve() == (project / ".factory").resolve()
+ assert wt_factory.is_dir() and not wt_factory.is_symlink()
+ assert (wt_factory / "config.json").is_symlink()
+ assert (wt_factory / "strategy").is_dir()
@pytest.mark.real_worktree
diff --git a/tests/test_graph.py b/tests/test_graph.py
new file mode 100644
index 000000000..f37d1e28c
--- /dev/null
+++ b/tests/test_graph.py
@@ -0,0 +1,140 @@
+"""Tests for factory.graph — graphify integration."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+from factory.graph import (
+ extract_graph,
+ graph_stats,
+ is_graph_available,
+ is_graph_stale,
+ update_graph,
+)
+
+
+def _write_graph(tmp_path: Path, data: dict | None = None) -> Path:
+ """Write graph.json to the project root (where functions now look)."""
+ gpath = tmp_path / "graph.json"
+ gpath.write_text(json.dumps(data or {"nodes": [], "edges": []}))
+ return gpath
+
+
+def _write_graphify_output(tmp_path: Path, data: dict | None = None) -> Path:
+ """Write graph.json to .factory/graphify-out/ (where graphify CLI writes)."""
+ gdir = tmp_path / ".factory" / "graphify-out"
+ gdir.mkdir(parents=True, exist_ok=True)
+ gpath = gdir / "graph.json"
+ gpath.write_text(json.dumps(data or {"nodes": [], "edges": []}))
+ return gpath
+
+
+class TestIsGraphAvailable:
+ def test_true_when_graph_exists(self, tmp_path: Path) -> None:
+ _write_graph(tmp_path)
+ assert is_graph_available(tmp_path) is True
+
+ def test_false_when_missing(self, tmp_path: Path) -> None:
+ assert is_graph_available(tmp_path) is False
+
+
+class TestGraphStats:
+ def test_returns_counts(self, tmp_path: Path) -> None:
+ data = {
+ "nodes": [{"id": "a"}, {"id": "b"}],
+ "edges": [{"source": "a", "target": "b"}],
+ }
+ _write_graph(tmp_path, data)
+ stats = graph_stats(tmp_path)
+ assert stats == {"nodes": 2, "edges": 1}
+
+ def test_uses_links_fallback(self, tmp_path: Path) -> None:
+ data = {"nodes": [{"id": "x"}], "links": [{"from": "x", "to": "y"}]}
+ _write_graph(tmp_path, data)
+ stats = graph_stats(tmp_path)
+ assert stats == {"nodes": 1, "edges": 1}
+
+ def test_returns_none_when_missing(self, tmp_path: Path) -> None:
+ assert graph_stats(tmp_path) is None
+
+ def test_returns_none_on_malformed_json(self, tmp_path: Path) -> None:
+ (tmp_path / "graph.json").write_text("not json")
+ assert graph_stats(tmp_path) is None
+
+
+class TestIsGraphStale:
+ def test_returns_none_when_no_graph(self, tmp_path: Path) -> None:
+ assert is_graph_stale(tmp_path) is None
+
+ @patch("factory.graph.subprocess.run")
+ def test_stale_when_commit_newer(self, mock_run: MagicMock, tmp_path: Path) -> None:
+
+ gpath = _write_graph(tmp_path)
+ graph_mtime = gpath.stat().st_mtime
+ mock_run.return_value = MagicMock(returncode=0, stdout=str(graph_mtime + 100))
+ assert is_graph_stale(tmp_path) is True
+
+ @patch("factory.graph.subprocess.run")
+ def test_fresh_when_graph_newer(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ _write_graph(tmp_path)
+ mock_run.return_value = MagicMock(returncode=0, stdout="0")
+ assert is_graph_stale(tmp_path) is False
+
+ @patch("factory.graph.subprocess.run")
+ def test_returns_none_on_git_failure(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ _write_graph(tmp_path)
+ mock_run.return_value = MagicMock(returncode=128, stdout="")
+ assert is_graph_stale(tmp_path) is None
+
+
+class TestExtractGraph:
+ @patch("factory.graph.is_graphify_installed", return_value=False)
+ def test_returns_none_when_not_installed(self, _mock: MagicMock, tmp_path: Path) -> None:
+ assert extract_graph(tmp_path) is None
+
+ @patch("factory.graph.subprocess.run")
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_success(self, _inst: MagicMock, mock_run: MagicMock, tmp_path: Path) -> None:
+ _write_graphify_output(tmp_path, {"nodes": [{"id": "a"}], "edges": []})
+ mock_run.return_value = MagicMock(returncode=0)
+ result = extract_graph(tmp_path)
+ assert result == tmp_path / "graph.json"
+ assert result.is_file()
+
+ @patch("factory.graph.subprocess.run")
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_nonzero_exit_returns_none(
+ self, _inst: MagicMock, mock_run: MagicMock, tmp_path: Path
+ ) -> None:
+ mock_run.return_value = MagicMock(returncode=1, stderr="error")
+ assert extract_graph(tmp_path) is None
+
+ @patch("factory.graph.subprocess.run", side_effect=FileNotFoundError("no graphify"))
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_file_not_found_returns_none(
+ self, _inst: MagicMock, _run: MagicMock, tmp_path: Path
+ ) -> None:
+ assert extract_graph(tmp_path) is None
+
+ @patch("factory.graph.subprocess.run")
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_no_output_file_returns_none(
+ self, _inst: MagicMock, mock_run: MagicMock, tmp_path: Path
+ ) -> None:
+ mock_run.return_value = MagicMock(returncode=0)
+ assert extract_graph(tmp_path) is None
+
+
+class TestUpdateGraph:
+ @patch("factory.graph.subprocess.run")
+ @patch("factory.graph.is_graphify_installed", return_value=True)
+ def test_passes_update_flag(
+ self, _inst: MagicMock, mock_run: MagicMock, tmp_path: Path
+ ) -> None:
+ _write_graphify_output(tmp_path, {"nodes": [], "edges": []})
+ mock_run.return_value = MagicMock(returncode=0)
+ update_graph(tmp_path)
+ cmd = mock_run.call_args[0][0]
+ assert "--update" in cmd
diff --git a/tests/test_graph_cli.py b/tests/test_graph_cli.py
new file mode 100644
index 000000000..ac32fb45a
--- /dev/null
+++ b/tests/test_graph_cli.py
@@ -0,0 +1,127 @@
+"""Tests for graph CLI wrapper commands (query, explain, path)."""
+
+from __future__ import annotations
+
+import argparse
+import subprocess
+from unittest.mock import patch
+
+import pytest
+
+
+@pytest.fixture()
+def _mock_graphify_installed():
+ with patch("factory.graph.is_graphify_installed", return_value=True):
+ yield
+
+
+@pytest.fixture()
+def _mock_graphify_not_installed():
+ with patch("factory.graph.is_graphify_installed", return_value=False):
+ yield
+
+
+@pytest.fixture()
+def _mock_graph_available():
+ with patch("factory.graph.is_graph_available", return_value=True):
+ yield
+
+
+@pytest.fixture()
+def _mock_graph_not_available():
+ with patch("factory.graph.is_graph_available", return_value=False):
+ yield
+
+
+class TestCmdGraphQuery:
+ @pytest.mark.usefixtures("_mock_graphify_installed", "_mock_graph_available")
+ def test_success(self, tmp_path):
+ from factory.cli.graph import cmd_graph_query
+
+ args = argparse.Namespace(path=str(tmp_path), question="auth flow", depth=2)
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=0, stdout="Found 3 nodes\n", stderr=""
+ )
+ result = cmd_graph_query(args)
+ assert result == 0
+ mock_run.assert_called_once()
+ call_cmd = mock_run.call_args[0][0]
+ assert call_cmd[0] == "graphify"
+ assert call_cmd[1] == "query"
+ assert "auth flow" in call_cmd
+
+ @pytest.mark.usefixtures("_mock_graphify_not_installed")
+ def test_not_installed(self, tmp_path):
+ from factory.cli.graph import cmd_graph_query
+
+ args = argparse.Namespace(path=str(tmp_path), question="test", depth=2)
+ result = cmd_graph_query(args)
+ assert result == 1
+
+ @pytest.mark.usefixtures("_mock_graphify_installed", "_mock_graph_not_available")
+ def test_no_graph(self, tmp_path):
+ from factory.cli.graph import cmd_graph_query
+
+ args = argparse.Namespace(path=str(tmp_path), question="test", depth=2)
+ result = cmd_graph_query(args)
+ assert result == 1
+
+
+class TestCmdGraphExplain:
+ @pytest.mark.usefixtures("_mock_graphify_installed", "_mock_graph_available")
+ def test_success(self, tmp_path):
+ from factory.cli.graph import cmd_graph_explain
+
+ args = argparse.Namespace(path=str(tmp_path), node="Study")
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=0, stdout="Study node: ...\n", stderr=""
+ )
+ result = cmd_graph_explain(args)
+ assert result == 0
+ call_cmd = mock_run.call_args[0][0]
+ assert call_cmd[1] == "explain"
+
+ @pytest.mark.usefixtures("_mock_graphify_not_installed")
+ def test_not_installed(self, tmp_path):
+ from factory.cli.graph import cmd_graph_explain
+
+ args = argparse.Namespace(path=str(tmp_path), node="Study")
+ result = cmd_graph_explain(args)
+ assert result == 1
+
+
+class TestCmdGraphPath:
+ @pytest.mark.usefixtures("_mock_graphify_installed", "_mock_graph_available")
+ def test_success(self, tmp_path):
+ from factory.cli.graph import cmd_graph_path
+
+ args = argparse.Namespace(path=str(tmp_path), source="Study", target="invoke_agent")
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=0, stdout="Path: Study -> invoke_agent\n", stderr=""
+ )
+ result = cmd_graph_path(args)
+ assert result == 0
+ call_cmd = mock_run.call_args[0][0]
+ assert call_cmd[1] == "path"
+ assert "Study" in call_cmd
+ assert "invoke_agent" in call_cmd
+
+ @pytest.mark.usefixtures("_mock_graphify_not_installed")
+ def test_not_installed(self, tmp_path):
+ from factory.cli.graph import cmd_graph_path
+
+ args = argparse.Namespace(path=str(tmp_path), source="A", target="B")
+ result = cmd_graph_path(args)
+ assert result == 1
+
+ @pytest.mark.usefixtures("_mock_graphify_installed", "_mock_graph_available")
+ def test_timeout(self, tmp_path):
+ from factory.cli.graph import cmd_graph_path
+
+ args = argparse.Namespace(path=str(tmp_path), source="A", target="B")
+ with patch("subprocess.run", side_effect=subprocess.TimeoutExpired("graphify", 60)):
+ result = cmd_graph_path(args)
+ assert result == 1
diff --git a/tests/test_guard.py b/tests/test_guard.py
new file mode 100644
index 000000000..e361110aa
--- /dev/null
+++ b/tests/test_guard.py
@@ -0,0 +1,94 @@
+"""Tests for factory/workflow/guard.py — structural diff checker."""
+
+from factory.workflow.guard import GuardResult, check
+
+
+class TestGuardProceed:
+ def test_identical_input(self) -> None:
+ text = "Some text {{slot_a::value}} more text"
+ result = check(text, text)
+ assert result.passed
+ assert result.verdict == "PROCEED"
+ assert result.violations == []
+
+ def test_only_slot_values_differ(self) -> None:
+ skeleton = "cmd --timeout {{timeout_qa::600}} --task {{task_qa::do stuff}}"
+ refined = "cmd --timeout {{timeout_qa::1800}} --task {{task_qa::do better stuff}}"
+ result = check(skeleton, refined)
+ assert result.passed
+ assert result.verdict == "PROCEED"
+
+ def test_annotations_unchanged_slots_changed(self) -> None:
+ skeleton = (
+ "<!-- node: AgentNode id=qa -->\n"
+ "```bash\nfactory agent qa --timeout {{timeout_qa::600}}\n```"
+ )
+ refined = (
+ "<!-- node: AgentNode id=qa -->\n"
+ "```bash\nfactory agent qa --timeout {{timeout_qa::1800}}\n```"
+ )
+ result = check(skeleton, refined)
+ assert result.passed
+
+ def test_empty_slot_value_changed_to_content(self) -> None:
+ skeleton = "{{failure_action::}}"
+ refined = "{{failure_action::If fails, revert.}}"
+ result = check(skeleton, refined)
+ assert result.passed
+
+
+class TestGuardReloop:
+ def test_text_outside_slots_changed(self) -> None:
+ skeleton = "Run this command {{slot::val}}"
+ refined = "Execute this command {{slot::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+ assert result.verdict == "RELOOP"
+ assert any("Text outside" in v for v in result.violations)
+
+ def test_slot_added(self) -> None:
+ skeleton = "{{slot_a::val}}"
+ refined = "{{slot_a::val}} {{slot_b::extra}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+ assert any("added" in v.lower() for v in result.violations)
+
+ def test_slot_removed(self) -> None:
+ skeleton = "{{slot_a::val}} {{slot_b::val2}}"
+ refined = "{{slot_a::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+ assert any("removed" in v.lower() for v in result.violations)
+
+ def test_annotation_comment_modified(self) -> None:
+ skeleton = "<!-- node: AgentNode id=qa -->\ntext {{slot::val}}"
+ refined = "<!-- node: AgentNode id=qa_changed -->\ntext {{slot::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+ assert any("Annotation" in v for v in result.violations)
+
+ def test_annotation_removed(self) -> None:
+ skeleton = "<!-- comment -->\n{{slot::val}}"
+ refined = "{{slot::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+
+ def test_annotation_added(self) -> None:
+ skeleton = "{{slot::val}}"
+ refined = "<!-- new comment -->\n{{slot::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+
+ def test_multiple_violations(self) -> None:
+ skeleton = "text {{slot_a::val}}"
+ refined = "changed {{slot_b::val}}"
+ result = check(skeleton, refined)
+ assert not result.passed
+ assert len(result.violations) >= 2
+
+
+class TestGuardResult:
+ def test_passed_property(self) -> None:
+ assert GuardResult(verdict="PROCEED").passed
+ assert not GuardResult(verdict="RELOOP").passed
+ assert not GuardResult(verdict="RELOOP", violations=["issue"]).passed
diff --git a/tests/test_guards.py b/tests/test_guards.py
index 064ee44ae..b6f3fc832 100644
--- a/tests/test_guards.py
+++ b/tests/test_guards.py
@@ -12,11 +12,25 @@
check_fixed_surfaces,
check_git_clean,
check_scope,
- snapshot_eval_tree,
check_all,
)
+def snapshot_eval_tree(project_path: Path) -> str:
+ """Take a snapshot of eval/ tree for later comparison (test helper)."""
+ try:
+ result = subprocess.run(
+ ["git", "ls-tree", "HEAD", "eval/"],
+ cwd=project_path,
+ capture_output=True,
+ text=True,
+ check=True,
+ )
+ return result.stdout.strip()
+ except subprocess.CalledProcessError:
+ return ""
+
+
def _git(args: list[str], cwd: Path, **kwargs) -> subprocess.CompletedProcess:
env = {
"GIT_AUTHOR_NAME": "test",
@@ -27,8 +41,13 @@ def _git(args: list[str], cwd: Path, **kwargs) -> subprocess.CompletedProcess:
"PATH": "/usr/bin:/bin:/usr/local/bin",
}
return subprocess.run(
- ["git", *args], cwd=cwd, capture_output=True, text=True,
- check=True, env=env, **kwargs,
+ ["git", *args],
+ cwd=cwd,
+ capture_output=True,
+ text=True,
+ check=True,
+ env=env,
+ **kwargs,
)
@@ -221,7 +240,8 @@ def test_fixed_surfaces_wired(self, git_project):
_git(["add", "."], git_project)
_git(["commit", "-m", "modify truth"], git_project)
violations = check_all(
- git_project, baseline,
+ git_project,
+ baseline,
fixed_surfaces=["truth.json"],
)
assert any("Fixed surface" in v for v in violations)
diff --git a/tests/test_hygiene_architecture.py b/tests/test_hygiene_architecture.py
index 254d795b9..3bcb63f0d 100644
--- a/tests/test_hygiene_architecture.py
+++ b/tests/test_hygiene_architecture.py
@@ -7,6 +7,7 @@
from factory.eval.hygiene import (
HYGIENE_WEIGHTS,
+ _run_sentrux_scan,
eval_architecture,
)
@@ -133,3 +134,127 @@ def test_hygiene_weights_sum_to_one() -> None:
total = sum(HYGIENE_WEIGHTS.values())
assert abs(total - 1.0) < 1e-9, f"HYGIENE_WEIGHTS sum to {total}, expected 1.0"
assert "architecture" in HYGIENE_WEIGHTS
+
+
+# ── sentrux scan parsing ──────────────────────────────────────
+
+
+def test_scan_parses_all_five_metrics(tmp_path: Path) -> None:
+ scan_output = json.dumps({
+ "modularity": 0.85,
+ "acyclicity": 1.0,
+ "depth": 0.72,
+ "equality": 0.45,
+ "redundancy": 0.90,
+ })
+ completed = subprocess.CompletedProcess(args=[], returncode=0, stdout=scan_output, stderr="")
+
+ with patch("factory.eval.hygiene.subprocess.run", return_value=completed):
+ result = _run_sentrux_scan(tmp_path)
+
+ assert result is not None
+ assert result["modularity"] == 0.85
+ assert result["acyclicity"] == 1.0
+ assert result["depth"] == 0.72
+ assert result["equality"] == 0.45
+ assert result["redundancy"] == 0.90
+
+
+def test_scan_returns_none_on_invalid_json(tmp_path: Path) -> None:
+ completed = subprocess.CompletedProcess(args=[], returncode=0, stdout="not json", stderr="")
+
+ with patch("factory.eval.hygiene.subprocess.run", return_value=completed):
+ result = _run_sentrux_scan(tmp_path)
+
+ assert result is None
+
+
+def test_scan_returns_none_on_timeout(tmp_path: Path) -> None:
+ with patch(
+ "factory.eval.hygiene.subprocess.run",
+ side_effect=subprocess.TimeoutExpired(cmd="sentrux", timeout=120),
+ ):
+ result = _run_sentrux_scan(tmp_path)
+
+ assert result is None
+
+
+def test_scan_returns_none_when_no_metrics(tmp_path: Path) -> None:
+ completed = subprocess.CompletedProcess(args=[], returncode=0, stdout="{}", stderr="")
+
+ with patch("factory.eval.hygiene.subprocess.run", return_value=completed):
+ result = _run_sentrux_scan(tmp_path)
+
+ assert result is None
+
+
+def test_scan_partial_metrics(tmp_path: Path) -> None:
+ scan_output = json.dumps({"equality": 0.33, "modularity": 0.91})
+ completed = subprocess.CompletedProcess(args=[], returncode=0, stdout=scan_output, stderr="")
+
+ with patch("factory.eval.hygiene.subprocess.run", return_value=completed):
+ result = _run_sentrux_scan(tmp_path)
+
+ assert result is not None
+ assert result["equality"] == 0.33
+ assert result["modularity"] == 0.91
+ assert "depth" not in result
+
+
+def test_eval_architecture_includes_scan_metrics(tmp_path: Path) -> None:
+ rules_dir = tmp_path / ".sentrux"
+ rules_dir.mkdir()
+ (rules_dir / "rules.toml").write_text("[constraints]\nmax_cc = 30\n")
+
+ check_output = json.dumps({"quality_signal": 8500, "bottleneck": "none"})
+ scan_output = json.dumps({
+ "modularity": 0.9,
+ "acyclicity": 1.0,
+ "depth": 0.8,
+ "equality": 0.5,
+ "redundancy": 0.95,
+ })
+ check_completed = subprocess.CompletedProcess(args=[], returncode=0, stdout=check_output, stderr="")
+ scan_completed = subprocess.CompletedProcess(args=[], returncode=0, stdout=scan_output, stderr="")
+
+ def mock_run(cmd, **kwargs):
+ if "scan" in cmd:
+ return scan_completed
+ return check_completed
+
+ with (
+ patch("factory.eval.hygiene.shutil.which", return_value="/usr/bin/sentrux"),
+ patch("factory.eval.hygiene.subprocess.run", side_effect=mock_run),
+ ):
+ result = eval_architecture(tmp_path)
+
+ assert result["score"] == 0.85
+ assert result["passed"] is True
+ assert "scan_metrics" in result
+ assert result["scan_metrics"]["equality"] == 0.5
+ assert result["scan_metrics"]["modularity"] == 0.9
+
+
+def test_eval_architecture_no_scan_metrics_on_scan_failure(tmp_path: Path) -> None:
+ rules_dir = tmp_path / ".sentrux"
+ rules_dir.mkdir()
+ (rules_dir / "rules.toml").write_text("[constraints]\nmax_cc = 30\n")
+
+ check_output = json.dumps({"quality_signal": 9000, "bottleneck": "none"})
+ check_completed = subprocess.CompletedProcess(args=[], returncode=0, stdout=check_output, stderr="")
+
+ call_count = [0]
+ def mock_run(cmd, **kwargs):
+ call_count[0] += 1
+ if "scan" in cmd:
+ raise subprocess.TimeoutExpired(cmd="sentrux", timeout=120)
+ return check_completed
+
+ with (
+ patch("factory.eval.hygiene.shutil.which", return_value="/usr/bin/sentrux"),
+ patch("factory.eval.hygiene.subprocess.run", side_effect=mock_run),
+ ):
+ result = eval_architecture(tmp_path)
+
+ assert result["score"] == 0.9
+ assert "scan_metrics" not in result
diff --git a/tests/test_inner_outer_loop.py b/tests/test_inner_outer_loop.py
index 1469979ff..53a77eb51 100644
--- a/tests/test_inner_outer_loop.py
+++ b/tests/test_inner_outer_loop.py
@@ -3,7 +3,6 @@
Covers:
- factory.md -> config.json round-trip with Multi-Run and Surface Scoping
- execute_multi_run() with deterministic commands and all aggregation methods
-- detect_plateau() with various history shapes
- CheckpointState with new plateau_count and loop_level fields
- Model validation for InnerLoopConfig, OuterLoopConfig, FactoryConfig
- Parser tests for _parse_inner_loop, _parse_outer_loop
@@ -28,11 +27,9 @@
FactoryConfig,
InnerLoopConfig,
OuterLoopConfig,
- ResearchTarget,
)
-from factory.research.runner import aggregate_metric, execute_multi_run
+from factory.research.runner import aggregate_metric
from factory.store import ExperimentStore, _parse_inner_loop, _parse_outer_loop
-from factory.strategy import detect_research_plateau
# ── Model validation ────────────────────────────────────────────
@@ -225,123 +222,6 @@ def test_single_value(self) -> None:
assert aggregate_metric([0.42], method) == pytest.approx(0.42)
-# ── Multi-run execution tests ──────────────────────────────────
-
-
-class TestExecuteMultiRun:
- async def test_multi_run_aggregates(self, tmp_path: Path) -> None:
- project = tmp_path / "proj"
- project.mkdir()
- (project / ".factory" / "research" / "runs").mkdir(parents=True)
-
- result_file = project / "result.json"
- result_file.write_text(json.dumps({"score": 0.5}))
-
- script = project / "run.sh"
- script.write_text("#!/bin/bash\necho '{\"score\": 0.5}' > result.json\n")
- script.chmod(0o755)
-
- config = ResearchTarget(
- objective="test",
- metric="score",
- target=1.0,
- run_command=f"bash {script}",
- result_path="result.json",
- timeout=30,
- )
- inner = InnerLoopConfig(runs_per_cycle=3, aggregate=AggregateMethod.mean)
-
- summary = await execute_multi_run(project, config, "cycle-001", inner)
-
- assert summary["aggregate"] == "mean"
- assert len(summary["runs"]) == 3
- assert "metric_value" in summary
- assert summary["duration_seconds"] > 0
-
- async def test_multi_run_respects_max_cap(self, tmp_path: Path) -> None:
- project = tmp_path / "proj"
- project.mkdir()
- (project / ".factory" / "research" / "runs").mkdir(parents=True)
-
- result_file = project / "result.json"
- result_file.write_text(json.dumps({"score": 0.5}))
-
- script = project / "run.sh"
- script.write_text("#!/bin/bash\necho '{\"score\": 0.5}' > result.json\n")
- script.chmod(0o755)
-
- config = ResearchTarget(
- objective="test",
- metric="score",
- target=1.0,
- run_command=f"bash {script}",
- result_path="result.json",
- timeout=30,
- )
- inner = InnerLoopConfig(
- runs_per_cycle=10,
- aggregate=AggregateMethod.max,
- max_inner_runs_per_cycle=2,
- )
-
- summary = await execute_multi_run(project, config, "cycle-002", inner)
- assert len(summary["runs"]) == 2
-
-
-# ── Plateau detection tests ────────────────────────────────────
-
-
-class TestDetectResearchPlateau:
- def test_not_enough_data(self) -> None:
- summaries = [{"metric_value": 0.5}, {"metric_value": 0.5}]
- assert detect_research_plateau(summaries, threshold=3) is False
-
- def test_plateau_detected(self) -> None:
- summaries = [
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- ]
- assert detect_research_plateau(summaries, threshold=3) is True
-
- def test_no_plateau_with_improvement(self) -> None:
- summaries = [
- {"metric_value": 0.3},
- {"metric_value": 0.4},
- {"metric_value": 0.5},
- {"metric_value": 0.6},
- ]
- assert detect_research_plateau(summaries, threshold=3) is False
-
- def test_plateau_with_stagnation_after_improvement(self) -> None:
- summaries = [
- {"metric_value": 0.3},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- ]
- assert detect_research_plateau(summaries, threshold=3) is True
-
- def test_custom_threshold(self) -> None:
- summaries = [
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- {"metric_value": 0.5},
- ]
- assert detect_research_plateau(summaries, threshold=2) is True
-
- def test_improvement_in_window_breaks_plateau(self) -> None:
- summaries = [
- {"metric_value": 0.3},
- {"metric_value": 0.3},
- {"metric_value": 0.3},
- {"metric_value": 0.4},
- ]
- assert detect_research_plateau(summaries, threshold=3) is False
-
-
# ── Checkpoint extension tests ──────────────────────────────────
@@ -621,9 +501,7 @@ def test_project_files_exist(self, math_benchmark_project: Path) -> None:
assert (project / "factory.md").exists()
assert (project / ".factory").is_dir()
- async def test_spec_format_parses_inner_loop(
- self, math_benchmark_project: Path
- ) -> None:
+ async def test_spec_format_parses_inner_loop(self, math_benchmark_project: Path) -> None:
store = ExperimentStore(math_benchmark_project)
config = await store.reparse_config()
@@ -633,9 +511,7 @@ async def test_spec_format_parses_inner_loop(
assert config.inner_loop.max_inner_runs_per_cycle == 10
assert config.inner_loop.plateau_threshold == 3
- async def test_spec_format_parses_outer_loop(
- self, math_benchmark_project: Path
- ) -> None:
+ async def test_spec_format_parses_outer_loop(self, math_benchmark_project: Path) -> None:
store = ExperimentStore(math_benchmark_project)
config = await store.reparse_config()
@@ -649,47 +525,7 @@ def test_multi_run_aggregation(self) -> None:
result = aggregate_metric(scores, AggregateMethod.median)
assert result == pytest.approx(0.78)
- def test_plateau_detection_at_threshold(self) -> None:
- summaries = [
- {"metric_value": 0.65},
- {"metric_value": 0.65},
- {"metric_value": 0.65},
- {"metric_value": 0.65},
- ]
- assert detect_research_plateau(summaries, threshold=3) is True
-
- improving = [
- {"metric_value": 0.60},
- {"metric_value": 0.65},
- {"metric_value": 0.70},
- ]
- assert detect_research_plateau(improving, threshold=3) is False
-
- async def test_surface_expansion_after_plateau(
- self, math_benchmark_project: Path
- ) -> None:
- store = ExperimentStore(math_benchmark_project)
- config = await store.reparse_config()
-
- assert config.outer_loop is not None
- inner = config.outer_loop.inner_surfaces
- outer = config.outer_loop.outer_surfaces
-
- assert inner == ["prompts/*.md", "config/*.yaml"]
- assert outer == ["src/**/*.py"]
-
- stagnant = [{"metric_value": 0.7}] * 4
- assert config.inner_loop is not None
- plateau = detect_research_plateau(
- stagnant, threshold=config.inner_loop.plateau_threshold
- )
- assert plateau is True
- expanded = inner + outer
- assert expanded == ["prompts/*.md", "config/*.yaml", "src/**/*.py"]
-
- async def test_eval_harness_multi_run(
- self, math_benchmark_project: Path
- ) -> None:
+ async def test_eval_harness_multi_run(self, math_benchmark_project: Path) -> None:
store = ExperimentStore(math_benchmark_project)
config = await store.reparse_config()
@@ -715,15 +551,11 @@ async def test_eval_harness_multi_run(
assert isinstance(aggregated, float)
assert 0 < aggregated < 1
- async def test_config_json_roundtrip(
- self, math_benchmark_project: Path
- ) -> None:
+ async def test_config_json_roundtrip(self, math_benchmark_project: Path) -> None:
store = ExperimentStore(math_benchmark_project)
await store.reparse_config()
- config_json = json.loads(
- (math_benchmark_project / ".factory" / "config.json").read_text()
- )
+ config_json = json.loads((math_benchmark_project / ".factory" / "config.json").read_text())
restored = FactoryConfig(**config_json)
assert restored.inner_loop is not None
@@ -736,3 +568,65 @@ async def test_config_json_roundtrip(
assert restored.outer_loop.max_outer_cycles == 4
assert restored.outer_loop.inner_surfaces == ["prompts/*.md", "config/*.yaml"]
assert restored.outer_loop.outer_surfaces == ["src/**/*.py"]
+
+
+# ── detect_research_plateau tests ────────────────────────────────
+
+
+class TestDetectResearchPlateau:
+ """Tests for detect_research_plateau in factory.strategy."""
+
+ def test_not_enough_data(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [{"metric_value": 0.5}, {"metric_value": 0.6}]
+ assert detect_research_plateau(summaries, threshold=3) is False
+
+ def test_plateau_detected(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [
+ {"metric_value": 0.8},
+ {"metric_value": 0.7},
+ {"metric_value": 0.6},
+ {"metric_value": 0.75},
+ ]
+ assert detect_research_plateau(summaries, threshold=3) is True
+
+ def test_no_plateau_with_improvement(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [
+ {"metric_value": 0.5},
+ {"metric_value": 0.6},
+ {"metric_value": 0.7},
+ {"metric_value": 0.9},
+ ]
+ assert detect_research_plateau(summaries, threshold=3) is False
+
+ def test_custom_threshold(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [
+ {"metric_value": 0.8},
+ {"metric_value": 0.7},
+ {"metric_value": 0.75},
+ ]
+ assert detect_research_plateau(summaries, threshold=2) is True
+
+ def test_improvement_in_window_breaks_plateau(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [
+ {"metric_value": 0.5},
+ {"metric_value": 0.4},
+ {"metric_value": 0.3},
+ {"metric_value": 0.6},
+ ]
+ assert detect_research_plateau(summaries, threshold=3) is False
+
+ def test_zero_threshold_returns_false(self) -> None:
+ from factory.strategy import detect_research_plateau
+
+ summaries = [{"metric_value": 0.5}]
+ assert detect_research_plateau(summaries, threshold=0) is False
diff --git a/tests/test_install.py b/tests/test_install.py
new file mode 100644
index 000000000..d997959c1
--- /dev/null
+++ b/tests/test_install.py
@@ -0,0 +1,80 @@
+"""E2E tests for the two install paths documented in README.md.
+
+Each test installs into an isolated UV_TOOL_DIR / UV_TOOL_BIN_DIR so
+nothing touches the real system. No Docker, no network — installs
+from the local checkout.
+
+Requires `uv` on PATH. Skipped otherwise.
+"""
+
+from __future__ import annotations
+
+import os
+import shutil
+import subprocess
+from pathlib import Path
+
+import pytest
+
+REPO_ROOT = Path(__file__).resolve().parent.parent
+
+_uv_available = shutil.which("uv") is not None
+
+pytestmark = [
+ pytest.mark.slow,
+ pytest.mark.timeout(60),
+ pytest.mark.skipif(not _uv_available, reason="uv not available"),
+]
+
+
+@pytest.fixture()
+def isolated_tool_env(tmp_path: Path):
+ """Yield env dict that redirects uv tool install to a temp directory."""
+ tool_dir = tmp_path / "tools"
+ bin_dir = tmp_path / "bin"
+ env = os.environ.copy()
+ env["UV_TOOL_DIR"] = str(tool_dir)
+ env["UV_TOOL_BIN_DIR"] = str(bin_dir)
+ yield env, bin_dir
+
+
+class TestQuickInstall:
+ """README 'Quick Install': uv tool install git+https://..."""
+
+ def test_non_editable_install(self, isolated_tool_env):
+ env, bin_dir = isolated_tool_env
+ subprocess.run(
+ ["uv", "tool", "install", str(REPO_ROOT)],
+ env=env,
+ check=True,
+ capture_output=True,
+ text=True,
+ )
+ result = subprocess.run(
+ [str(bin_dir / "factory"), "--help"],
+ capture_output=True,
+ text=True,
+ )
+ assert result.returncode == 0
+ assert "factory" in result.stdout
+
+
+class TestDevInstall:
+ """README 'Development Install': git clone && uv sync && uv tool install -e ."""
+
+ def test_editable_install(self, isolated_tool_env):
+ env, bin_dir = isolated_tool_env
+ subprocess.run(
+ ["uv", "tool", "install", "-e", str(REPO_ROOT)],
+ env=env,
+ check=True,
+ capture_output=True,
+ text=True,
+ )
+ result = subprocess.run(
+ [str(bin_dir / "factory"), "--help"],
+ capture_output=True,
+ text=True,
+ )
+ assert result.returncode == 0
+ assert "factory" in result.stdout
diff --git a/tests/test_installer.py b/tests/test_installer.py
index a76ddf03b..02a6c62ff 100644
--- a/tests/test_installer.py
+++ b/tests/test_installer.py
@@ -56,7 +56,7 @@ def test_cmd_self_update_success():
stdout="Nothing to upgrade\n",
stderr="",
)
- with patch("factory.cli.subprocess.run", return_value=mock_result):
+ with patch("factory.cli.admin.subprocess.run", return_value=mock_result):
code = cmd_self_update(argparse.Namespace())
assert code == 0
@@ -71,6 +71,6 @@ def test_cmd_self_update_failure():
stdout="",
stderr="error: remote-factory is not installed\n",
)
- with patch("factory.cli.subprocess.run", return_value=mock_result):
+ with patch("factory.cli.admin.subprocess.run", return_value=mock_result):
code = cmd_self_update(argparse.Namespace())
assert code == 1
diff --git a/tests/test_issue.py b/tests/test_issue.py
index 9459341fd..9e4cd8e11 100644
--- a/tests/test_issue.py
+++ b/tests/test_issue.py
@@ -2,6 +2,7 @@
from __future__ import annotations
+import argparse
import json
import subprocess
from pathlib import Path
@@ -13,9 +14,11 @@
IssueSpec,
fetch_issue,
format_issue_as_spec,
+ has_multi_issue_refs,
infer_remote,
is_issue_ref,
parse_issue_ref,
+ parse_multi_issue_refs,
)
@@ -275,12 +278,12 @@ class TestFocusIssueIntegration:
"""Test that --focus with issue refs works correctly via _resolve_focus_issue."""
def test_focus_plain_text_not_resolved(self) -> None:
- from factory.cli import _resolve_focus_issue
+ from factory.cli._path_resolver import _resolve_focus_issue
result = _resolve_focus_issue("dashboard UI", Path("/tmp/fake"))
assert result is None
def test_focus_bare_number_resolved(self) -> None:
- from factory.cli import _resolve_focus_issue
+ from factory.cli._path_resolver import _resolve_focus_issue
gh_response = json.dumps({
"number": 42,
@@ -317,7 +320,7 @@ def test_focus_no_github_checked_by_caller(self) -> None:
assert code == 1
def test_focus_url_resolved(self) -> None:
- from factory.cli import _resolve_focus_issue
+ from factory.cli._path_resolver import _resolve_focus_issue
gh_response = json.dumps({
"number": 99,
@@ -347,7 +350,7 @@ def test_focus_url_resolved(self) -> None:
def test_focus_updates_name_with_issue_title(self) -> None:
"""When --focus resolves to an issue, the focus name should include the issue title."""
- from factory.cli import _resolve_focus_issue
+ from factory.cli._path_resolver import _resolve_focus_issue
gh_response = json.dumps({
"number": 42,
@@ -380,7 +383,7 @@ class TestBuildCeoTaskIssue:
"""Test that _build_ceo_task embeds issue metadata in the CEO task string."""
def test_focus_with_issue_number(self) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(
Path("/tmp/fake"), "improve",
@@ -394,7 +397,7 @@ def test_focus_with_issue_number(self) -> None:
assert "--issue 42" in task
def test_focus_with_issue_number_and_url(self) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(
Path("/tmp/fake"), "improve",
@@ -406,7 +409,7 @@ def test_focus_with_issue_number_and_url(self) -> None:
assert "## Issue Tracking" in task
def test_focus_without_issue(self) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(
Path("/tmp/fake"), "improve",
@@ -436,3 +439,791 @@ def test_run_focus_no_github_with_issue_ref_fails(self) -> None:
code = main()
assert code == 1
+
+
+# ── parse_multi_issue_refs ───────────────────────────────────
+
+
+class TestParseMultiIssueRefs:
+ def test_and_separator(self) -> None:
+ assert parse_multi_issue_refs("111 and 112") == ["111", "112"]
+
+ def test_issue_keyword_and(self) -> None:
+ assert parse_multi_issue_refs("issue 111 and issue 112") == ["111", "112"]
+
+ def test_hash_prefix(self) -> None:
+ assert parse_multi_issue_refs("#111 #112") == ["111", "112"]
+
+ def test_comma_no_space(self) -> None:
+ assert parse_multi_issue_refs("111,112") == ["111", "112"]
+
+ def test_comma_with_space(self) -> None:
+ assert parse_multi_issue_refs("111, 112") == ["111", "112"]
+
+ def test_space_separated(self) -> None:
+ assert parse_multi_issue_refs("111 112") == ["111", "112"]
+
+ def test_single_ref(self) -> None:
+ assert parse_multi_issue_refs("42") == ["42"]
+
+ def test_plain_text_returns_empty(self) -> None:
+ assert parse_multi_issue_refs("dashboard UI") == []
+
+ def test_owner_repo_shorthand_pair(self) -> None:
+ result = parse_multi_issue_refs("owner/repo#111 owner/repo#112")
+ assert result == ["owner/repo#111", "owner/repo#112"]
+
+ def test_mixed_bare_and_url(self) -> None:
+ result = parse_multi_issue_refs("111 and https://github.com/o/r/issues/112")
+ assert result == ["111", "https://github.com/o/r/issues/112"]
+
+ def test_empty_string(self) -> None:
+ assert parse_multi_issue_refs("") == []
+
+ def test_whitespace_only(self) -> None:
+ assert parse_multi_issue_refs(" ") == []
+
+ def test_freeform_with_number(self) -> None:
+ assert parse_multi_issue_refs("fix issue 42 in the dashboard") == []
+
+ def test_three_issues(self) -> None:
+ assert parse_multi_issue_refs("1, 2, 3") == ["1", "2", "3"]
+
+ def test_hash_prefix_single(self) -> None:
+ assert parse_multi_issue_refs("#42") == ["42"]
+
+ def test_issue_keyword_single(self) -> None:
+ assert parse_multi_issue_refs("issue 42") == ["42"]
+
+
+# ── has_multi_issue_refs ─────────────────────────────────────
+
+
+class TestHasMultiIssueRefs:
+ def test_true_for_multi(self) -> None:
+ assert has_multi_issue_refs("111 and 112") is True
+
+ def test_true_for_single(self) -> None:
+ assert has_multi_issue_refs("42") is True
+
+ def test_false_for_plain_text(self) -> None:
+ assert has_multi_issue_refs("dashboard UI") is False
+
+ def test_false_for_empty(self) -> None:
+ assert has_multi_issue_refs("") is False
+
+
+# ── _resolve_focus_issues integration ────────────────────────
+
+
+class TestResolveFocusIssues:
+ """Test that _resolve_focus_issues fetches multiple issues and writes combined spec."""
+
+ def test_single_issue(self) -> None:
+ from factory.cli._path_resolver import _resolve_focus_issues
+
+ gh_response = json.dumps({
+ "number": 42,
+ "title": "Add widgets",
+ "body": "Details.",
+ "labels": [],
+ "url": "https://github.com/org/repo/issues/42",
+ })
+ with (
+ patch("factory.issue.infer_remote", return_value=("github", "org/repo")),
+ patch("factory.issue.subprocess.run") as mock_run,
+ patch("pathlib.Path.mkdir"),
+ patch("pathlib.Path.write_text"),
+ ):
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=0, stdout=gh_response, stderr="",
+ )
+ result = _resolve_focus_issues("42", Path("/tmp/fake"))
+
+ assert result is not None
+ assert len(result) == 1
+ assert result[0][2] == 42
+
+ def test_multi_issues(self) -> None:
+ from factory.cli._path_resolver import _resolve_focus_issues
+
+ responses = [
+ json.dumps({
+ "number": 111,
+ "title": "First issue",
+ "body": "Body 1.",
+ "labels": [],
+ "url": "https://github.com/org/repo/issues/111",
+ }),
+ json.dumps({
+ "number": 112,
+ "title": "Second issue",
+ "body": "Body 2.",
+ "labels": [],
+ "url": "https://github.com/org/repo/issues/112",
+ }),
+ ]
+ call_count = 0
+
+ def fake_run(*a: object, **kw: object) -> subprocess.CompletedProcess[str]:
+ nonlocal call_count
+ resp = responses[call_count]
+ call_count += 1
+ return subprocess.CompletedProcess(args=[], returncode=0, stdout=resp, stderr="")
+
+ with (
+ patch("factory.issue.infer_remote", return_value=("github", "org/repo")),
+ patch("factory.issue.subprocess.run", side_effect=fake_run),
+ patch("pathlib.Path.mkdir"),
+ patch("pathlib.Path.write_text") as mock_write,
+ ):
+ result = _resolve_focus_issues("111 and 112", Path("/tmp/fake"))
+
+ assert result is not None
+ assert len(result) == 2
+ assert result[0][2] == 111
+ assert result[1][2] == 112
+ written = mock_write.call_args[0][0]
+ assert "First issue" in written
+ assert "Second issue" in written
+ assert "---" in written
+
+ def test_plain_text_returns_none(self) -> None:
+ from factory.cli._path_resolver import _resolve_focus_issues
+
+ result = _resolve_focus_issues("dashboard UI", Path("/tmp/fake"))
+ assert result is None
+
+
+# ── _build_ceo_task multi-issue ──────────────────────────────
+
+
+class TestBuildCeoTaskMultiIssue:
+ """Test that _build_ceo_task embeds multi-issue metadata correctly."""
+
+ def test_multi_issue_focus_directive(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="First (issue #111) + Second (issue #112)",
+ issue_numbers=[111, 112],
+ issue_urls=[
+ "https://github.com/org/repo/issues/111",
+ "https://github.com/org/repo/issues/112",
+ ],
+ )
+ assert "## Focus Directive (Targeted Mode)" in task
+ assert "These targets are from issues" in task
+ assert "#111" in task
+ assert "#112" in task
+ assert "## Issue Tracking" in task
+ assert "--issue 111" in task
+ assert "--issue 112" in task
+
+ def test_single_issue_still_works(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="Add widgets (issue #42)",
+ issue_number=42,
+ issue_url="https://github.com/org/repo/issues/42",
+ )
+ assert "This target is from issue #42" in task
+ assert "## Issue Tracking" in task
+ assert "--issue 42" in task
+
+ def test_empty_issue_numbers_uses_single(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="Add widgets (issue #42)",
+ issue_number=42,
+ issue_numbers=[],
+ issue_urls=[],
+ )
+ assert "This target is from issue #42" in task
+
+ def test_multi_issue_numbers_without_urls(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="First (issue #10) + Second (issue #20)",
+ issue_numbers=[10, 20],
+ issue_urls=[],
+ )
+ assert "These targets are from issues" in task
+ assert "#10" in task
+ assert "#20" in task
+ assert "## Issue Tracking" in task
+ assert "--issue 10" in task
+ assert "--issue 20" in task
+ assert "https://" not in task.split("These targets")[1].split("All issue")[0]
+
+ def test_multi_issue_numbers_with_partial_urls(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="First (issue #10) + Second (issue #20)",
+ issue_numbers=[10, 20],
+ issue_urls=["https://github.com/o/r/issues/10"],
+ )
+ assert "#10 (https://github.com/o/r/issues/10)" in task
+ assert "#20" in task
+
+
+# ── parse_multi_issue_refs — slash / http branches ──────────
+
+
+class TestParseMultiIssueRefsSlashAndHttp:
+ """Cover the '/' token accumulator and 'http' prefix branches."""
+
+ def test_url_only(self) -> None:
+ result = parse_multi_issue_refs("https://github.com/o/r/issues/42")
+ assert result == ["https://github.com/o/r/issues/42"]
+
+ def test_two_urls(self) -> None:
+ result = parse_multi_issue_refs(
+ "https://github.com/o/r/issues/1, https://github.com/o/r/issues/2"
+ )
+ assert result == [
+ "https://github.com/o/r/issues/1",
+ "https://github.com/o/r/issues/2",
+ ]
+
+ def test_slash_token_not_issue_ref_returns_empty(self) -> None:
+ """A bare 'some/path' that never combines into a valid ref → empty list."""
+ result = parse_multi_issue_refs("some/path")
+ assert result == []
+
+ def test_slash_token_with_trailing_noise_returns_empty(self) -> None:
+ """'org/repo stuff' — slash token accumulates but never forms a valid ref."""
+ result = parse_multi_issue_refs("org/repo stuff")
+ assert result == []
+
+ def test_owner_repo_hash_single(self) -> None:
+ """owner/repo#42 — has both / and # so skips the slash branch."""
+ result = parse_multi_issue_refs("owner/repo#42")
+ assert result == ["owner/repo#42"]
+
+ def test_slash_token_accumulates_into_shorthand(self) -> None:
+ """'owner/repo#42 owner/repo#43' — each has / and # so uses the shorthand path."""
+ result = parse_multi_issue_refs("owner/repo#42 owner/repo#43")
+ assert result == ["owner/repo#42", "owner/repo#43"]
+
+ def test_only_noise_words_returns_empty(self) -> None:
+ """Input with only noise words should return empty list."""
+ result = parse_multi_issue_refs("issue and issues")
+ assert result == []
+
+
+# ── cmd_ceo multi-issue path ────────────────────────────────
+
+
+class TestCmdCeoMultiIssue:
+ """Cover the multi-issue branch in cmd_ceo (lines 75-82)."""
+
+ def test_cmd_ceo_multi_focus_assembles_correctly(self) -> None:
+ """When _resolve_focus_issues returns 2+ items, cmd_ceo joins them."""
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ headless=False,
+ bg=False,
+ bg_agents=False,
+ prompt=None,
+ focus="111 and 112",
+ dir=None,
+ refine=None,
+ no_github=False,
+ use_profile=False,
+ model=None,
+ tmux_persist=False,
+ background=False,
+ clean_pr=None,
+ run_id=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ multi_result = [
+ ("First issue", "ctx1", 111, "https://github.com/o/r/issues/111"),
+ ("Second issue", "ctx2", 112, "https://github.com/o/r/issues/112"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.ceo._validate_ceo_flags") as mock_validate,
+ patch("factory.cli.ceo._resolve_ceo_project") as mock_resolve,
+ patch("factory.cli.ceo._resolve_focus_issues", return_value=multi_result),
+ patch("factory.cli.ceo._validate_late_flags", return_value=None),
+ patch("factory.cli.ceo._execute_ceo", return_value=0) as mock_exec,
+ ):
+ mock_validate.return_value = (
+ "improve", False, False, False, None, "111 and 112", None, None, False, None, False,
+ )
+ mock_resolve.return_value = (
+ Path("/tmp/fake"), None, None, None,
+ None, False, False, None, None,
+ )
+ from factory.cli.ceo import cmd_ceo
+ code = cmd_ceo(ns)
+
+ assert code == 0
+ call_kwargs = mock_exec.call_args[1]
+ assert call_kwargs["issue_numbers"] == [111, 112]
+ assert call_kwargs["issue_urls"] == [
+ "https://github.com/o/r/issues/111",
+ "https://github.com/o/r/issues/112",
+ ]
+ assert "First issue (issue #111)" in call_kwargs["focus"]
+ assert "Second issue (issue #112)" in call_kwargs["focus"]
+
+ def test_cmd_ceo_single_focus_assembles_correctly(self) -> None:
+ """When _resolve_focus_issues returns exactly 1 item, cmd_ceo uses single-issue path."""
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ headless=False,
+ bg=False,
+ bg_agents=False,
+ prompt=None,
+ focus="42",
+ dir=None,
+ refine=None,
+ no_github=False,
+ use_profile=False,
+ model=None,
+ tmux_persist=False,
+ background=False,
+ clean_pr=None,
+ run_id=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ single_result = [
+ ("Add widgets", "ctx", 42, "https://github.com/o/r/issues/42"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.ceo._validate_ceo_flags") as mock_validate,
+ patch("factory.cli.ceo._resolve_ceo_project") as mock_resolve,
+ patch("factory.cli.ceo._resolve_focus_issues", return_value=single_result),
+ patch("factory.cli.ceo._validate_late_flags", return_value=None),
+ patch("factory.cli.ceo._execute_ceo", return_value=0) as mock_exec,
+ ):
+ mock_validate.return_value = (
+ "improve", False, False, False, None, "42", None, None, False, None, False,
+ )
+ mock_resolve.return_value = (
+ Path("/tmp/fake"), None, None, None,
+ None, False, False, None, None,
+ )
+ from factory.cli.ceo import cmd_ceo
+ code = cmd_ceo(ns)
+
+ assert code == 0
+ call_kwargs = mock_exec.call_args[1]
+ assert call_kwargs["issue_number"] == 42
+ assert call_kwargs["issue_url"] == "https://github.com/o/r/issues/42"
+ assert "Add widgets (issue #42)" == call_kwargs["focus"]
+
+ def test_cmd_ceo_multi_focus_no_github_fails(self) -> None:
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ headless=False,
+ bg=False,
+ bg_agents=False,
+ prompt=None,
+ focus="111 and 112",
+ dir=None,
+ refine=None,
+ no_github=True,
+ use_profile=False,
+ model=None,
+ )
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.ceo._validate_ceo_flags") as mock_validate,
+ patch("factory.cli.ceo._resolve_ceo_project") as mock_resolve,
+ ):
+ mock_validate.return_value = (
+ "improve", False, False, False, None, "111 and 112", None, None, False, None, False,
+ )
+ mock_resolve.return_value = (
+ Path("/tmp/fake"), None, None, None,
+ None, False, False, None, None,
+ )
+ from factory.cli.ceo import cmd_ceo
+ code = cmd_ceo(ns)
+
+ assert code == 1
+
+
+# ── cmd_run multi-issue path ────────────────────────────────
+
+
+class TestCmdRunMultiIssue:
+ """Cover the multi-issue branch in cmd_run (lines 394-406)."""
+
+ def test_cmd_run_multi_focus_assembles_correctly(self) -> None:
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ loop=False,
+ focus="111 and 112",
+ discover_only=False,
+ no_github=False,
+ min_growth=None,
+ max_new=None,
+ branch=None,
+ run_id=None,
+ model=None,
+ use_profile=False,
+ tmux_persist=False,
+ background=False,
+ bg_agents=False,
+ prompt=None,
+ clean_pr=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ multi_result = [
+ ("First", "ctx1", 111, "https://github.com/o/r/issues/111"),
+ ("Second", "ctx2", 112, "https://github.com/o/r/issues/112"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.run._resolve_input", return_value=(Path("/tmp/fake"), None)),
+ patch("factory.cli.run._resolve_model", return_value=None),
+ patch("factory.cli.run._resolve_tmux_persist", return_value=False),
+ patch("factory.cli.run._resolve_background", return_value=False),
+ patch("factory.cli.run._resolve_bg_agents", return_value=False),
+ patch("factory.cli.run._resolve_focus_issues", return_value=multi_result),
+ patch("factory.cli.run.warn_deprecated_mode"),
+ patch("factory.cli.run._print_banner"),
+ patch("factory.cli.run._ensure_dashboard"),
+ patch("factory.cli.run._run_single_cycle", return_value=0) as mock_cycle,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("pathlib.Path.is_dir", return_value=True),
+ ):
+ from factory.cli.run import cmd_run
+ code = cmd_run(ns)
+
+ assert code == 0
+ call_kwargs = mock_cycle.call_args[1]
+ assert call_kwargs["issue_numbers"] == [111, 112]
+ assert call_kwargs["issue_urls"] == [
+ "https://github.com/o/r/issues/111",
+ "https://github.com/o/r/issues/112",
+ ]
+ assert "First (issue #111)" in call_kwargs["focus"]
+ assert "Second (issue #112)" in call_kwargs["focus"]
+
+ def test_cmd_run_single_focus_assembles_correctly(self) -> None:
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ loop=False,
+ focus="42",
+ discover_only=False,
+ no_github=False,
+ min_growth=None,
+ max_new=None,
+ branch=None,
+ run_id=None,
+ model=None,
+ use_profile=False,
+ tmux_persist=False,
+ background=False,
+ bg_agents=False,
+ prompt=None,
+ clean_pr=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ single_result = [
+ ("Add widgets", "ctx", 42, "https://github.com/o/r/issues/42"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.run._resolve_input", return_value=(Path("/tmp/fake"), None)),
+ patch("factory.cli.run._resolve_model", return_value=None),
+ patch("factory.cli.run._resolve_tmux_persist", return_value=False),
+ patch("factory.cli.run._resolve_background", return_value=False),
+ patch("factory.cli.run._resolve_bg_agents", return_value=False),
+ patch("factory.cli.run._resolve_focus_issues", return_value=single_result),
+ patch("factory.cli.run.warn_deprecated_mode"),
+ patch("factory.cli.run._print_banner"),
+ patch("factory.cli.run._ensure_dashboard"),
+ patch("factory.cli.run._run_single_cycle", return_value=0) as mock_cycle,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("pathlib.Path.is_dir", return_value=True),
+ ):
+ from factory.cli.run import cmd_run
+ code = cmd_run(ns)
+
+ assert code == 0
+ call_kwargs = mock_cycle.call_args[1]
+ assert call_kwargs["issue_number"] == 42
+ assert call_kwargs["issue_url"] == "https://github.com/o/r/issues/42"
+ assert "Add widgets (issue #42)" == call_kwargs["focus"]
+
+ def test_cmd_run_multi_focus_no_github_fails(self) -> None:
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ loop=False,
+ focus="111 and 112",
+ discover_only=False,
+ no_github=True,
+ min_growth=None,
+ max_new=None,
+ branch=None,
+ run_id=None,
+ model=None,
+ use_profile=False,
+ tmux_persist=False,
+ background=False,
+ bg_agents=False,
+ prompt=None,
+ clean_pr=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.run._resolve_input", return_value=(Path("/tmp/fake"), None)),
+ patch("factory.cli.run._resolve_model", return_value=None),
+ patch("factory.cli.run._resolve_tmux_persist", return_value=False),
+ patch("factory.cli.run._resolve_background", return_value=False),
+ patch("factory.cli.run._resolve_bg_agents", return_value=False),
+ ):
+ from factory.cli.run import cmd_run
+ code = cmd_run(ns)
+
+ assert code == 1
+
+
+# ── parse_multi_issue_refs — slash accumulator success ────────
+
+
+class TestParseMultiIssueRefsSlashAccumulator:
+ """Cover lines 216-218, 222: slash-token successfully accumulates into a valid ref."""
+
+ def test_slash_token_accumulates_with_hash_suffix(self) -> None:
+ """'owner/repo #42' — slash token + hash suffix combines into a valid shorthand."""
+ result = parse_multi_issue_refs("owner/repo #42")
+ assert result == ["owner/repo #42"]
+
+ def test_slash_token_accumulates_two_refs(self) -> None:
+ """Two spaced shorthands both accumulate successfully."""
+ result = parse_multi_issue_refs("owner/repo #10, owner/repo #20")
+ assert result == ["owner/repo #10", "owner/repo #20"]
+
+ def test_slash_token_mixed_with_bare_number(self) -> None:
+ """Accumulated shorthand + bare number."""
+ result = parse_multi_issue_refs("owner/repo #10, 20")
+ assert result == ["owner/repo #10", "20"]
+
+
+# ── _resolve_focus_issues error path ──────────────────────────
+
+
+class TestResolveFocusIssuesError:
+ """Cover the error path where fetch_issue fails for one of the refs."""
+
+ def test_fetch_failure_propagates(self) -> None:
+ from factory.cli._path_resolver import _resolve_focus_issues
+
+ with (
+ patch("factory.issue.infer_remote", return_value=("github", "org/repo")),
+ patch(
+ "factory.issue.subprocess.run",
+ side_effect=subprocess.CalledProcessError(1, "gh", stderr="not found"),
+ ),
+ ):
+ with pytest.raises(RuntimeError, match="Failed to fetch"):
+ _resolve_focus_issues("42", Path("/tmp/fake"))
+
+
+# ── _build_ceo_task — issue_numbers without issue_urls ────────
+
+
+class TestBuildCeoTaskIssueNumbersOnly:
+ """Cover the path where issue_numbers is set but issue_urls is empty."""
+
+ def test_issue_numbers_labels_without_urls(self) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="First + Second",
+ issue_numbers=[10, 20],
+ )
+ assert "These targets are from issues #10, #20" in task
+ assert "## Issue Tracking" in task
+ assert "--issue 10" in task
+ assert "--issue 20" in task
+
+ def test_issue_number_only_no_url(self) -> None:
+ """Single issue_number without issue_url — label has no parenthetical."""
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(
+ Path("/tmp/fake"), "improve",
+ focus="Fix something",
+ issue_number=99,
+ )
+ assert "This target is from issue #99." in task
+ assert "(https://" not in task.split("This target")[1].split("spec")[0]
+
+
+# ── cmd_run backlog addition with multi-issue ─────────────────
+
+
+class TestCmdRunBacklogMultiIssue:
+ """Cover the add_backlog_item call + multi-issue assembly inside cmd_run."""
+
+ def test_cmd_run_adds_focus_to_backlog(self) -> None:
+ """Verify that cmd_run calls add_backlog_item when focus is set."""
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ loop=False,
+ focus="111 and 112",
+ discover_only=False,
+ no_github=False,
+ min_growth=None,
+ max_new=None,
+ branch=None,
+ run_id=None,
+ model=None,
+ use_profile=False,
+ tmux_persist=False,
+ background=False,
+ bg_agents=False,
+ prompt=None,
+ clean_pr=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ multi_result = [
+ ("First", "ctx1", 111, "url1"),
+ ("Second", "ctx2", 112, "url2"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.run._resolve_input", return_value=(Path("/tmp/fake"), None)),
+ patch("factory.cli.run._resolve_model", return_value=None),
+ patch("factory.cli.run._resolve_tmux_persist", return_value=False),
+ patch("factory.cli.run._resolve_background", return_value=False),
+ patch("factory.cli.run._resolve_bg_agents", return_value=False),
+ patch("factory.cli.run._resolve_focus_issues", return_value=multi_result),
+ patch("factory.cli.run.warn_deprecated_mode"),
+ patch("factory.cli.run._print_banner"),
+ patch("factory.cli.run._ensure_dashboard"),
+ patch("factory.cli.run._run_single_cycle", return_value=0),
+ patch("factory.cli.run._chain_modes", return_value=0),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("pathlib.Path.is_dir", return_value=True),
+ ):
+ from factory.cli.run import cmd_run
+ code = cmd_run(ns)
+
+ assert code == 0
+
+ def test_cmd_run_context_set_to_none_for_multi(self) -> None:
+ """When multi-issue resolves 2+ items, context is set to None."""
+ ns = argparse.Namespace(
+ path="/tmp/fake",
+ profile=None,
+ mode="improve",
+ loop=False,
+ focus="111, 112",
+ discover_only=False,
+ no_github=False,
+ min_growth=None,
+ max_new=None,
+ branch=None,
+ run_id=None,
+ model=None,
+ use_profile=False,
+ tmux_persist=False,
+ background=False,
+ bg_agents=False,
+ prompt=None,
+ clean_pr=None,
+ no_worktree=False,
+ overwrite=None,
+ )
+
+ multi_result = [
+ ("A", "ctx1", 111, "u1"),
+ ("B", "ctx2", 112, "u2"),
+ ]
+
+ with (
+ patch("factory.user_config.load_config"),
+ patch("factory.cli.run._resolve_input", return_value=(Path("/tmp/fake"), "initial_ctx")),
+ patch("factory.cli.run._resolve_model", return_value=None),
+ patch("factory.cli.run._resolve_tmux_persist", return_value=False),
+ patch("factory.cli.run._resolve_background", return_value=False),
+ patch("factory.cli.run._resolve_bg_agents", return_value=False),
+ patch("factory.cli.run._resolve_focus_issues", return_value=multi_result),
+ patch("factory.cli.run.warn_deprecated_mode"),
+ patch("factory.cli.run._print_banner"),
+ patch("factory.cli.run._ensure_dashboard"),
+ patch("factory.cli.run._run_single_cycle", return_value=0) as mock_cycle,
+ patch("factory.cli.run._chain_modes", return_value=0),
+ patch("factory.worktree.prune_stale", return_value=[]),
+ patch("pathlib.Path.is_dir", return_value=True),
+ ):
+ from factory.cli.run import cmd_run
+ cmd_run(ns)
+
+ call_kwargs = mock_cycle.call_args[1]
+ assert call_kwargs["focus"] == "A (issue #111) + B (issue #112)"
+
+
+# ── parse_multi_issue_refs — URL token branch ─────────────────
+
+
+class TestParseMultiIssueRefsUrlToken:
+ """Cover the http-prefix branch with mixed inputs."""
+
+ def test_url_mixed_with_bare_number(self) -> None:
+ result = parse_multi_issue_refs("https://github.com/o/r/issues/1 and 42")
+ assert result == ["https://github.com/o/r/issues/1", "42"]
+
+ def test_url_comma_separated_with_hash(self) -> None:
+ result = parse_multi_issue_refs("https://github.com/o/r/issues/5, #10")
+ assert result == ["https://github.com/o/r/issues/5", "10"]
+
+ def test_url_with_shorthand(self) -> None:
+ result = parse_multi_issue_refs(
+ "https://github.com/o/r/issues/1, owner/repo#99"
+ )
+ assert result == ["https://github.com/o/r/issues/1", "owner/repo#99"]
diff --git a/tests/test_lazy_loading.py b/tests/test_lazy_loading.py
new file mode 100644
index 000000000..bfacccbfb
--- /dev/null
+++ b/tests/test_lazy_loading.py
@@ -0,0 +1,199 @@
+"""Tests for lazy loading behavior in workflow registry and telemetry."""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.workflow.registry import WorkflowRegistry
+
+
+@pytest.fixture(autouse=True)
+def _reset_registry():
+ """Reset registry state before each test."""
+ WorkflowRegistry.reset()
+ yield
+ WorkflowRegistry.reset()
+
+
+# ── BUILTIN_REGISTRY ────────────────────────────────────────────
+
+
+class TestBuiltinRegistry:
+ def test_registry_contains_all_workflows(self) -> None:
+ from factory.workflow.definitions import _get_builtin_registry
+
+ registry = _get_builtin_registry()
+ required = {
+ "design", "create", "spec-generate",
+ "swebench", "legacybench", "featurebench",
+ "programbench", "terminalbench", "tomswe", "salitrap",
+ }
+ assert required.issubset(set(registry.keys())), (
+ f"Missing: {required - set(registry.keys())}"
+ )
+
+ def test_registry_values_are_callable(self) -> None:
+ from factory.workflow.definitions import _get_builtin_registry
+
+ registry = _get_builtin_registry()
+ for name, fn in registry.items():
+ assert callable(fn), f"{name} is not callable"
+
+ def test_register_all_backward_compat(self) -> None:
+ """register_all() still returns a dict of constructed Workflow objects."""
+ from factory.workflow.definitions import register_all
+
+ all_wf = register_all()
+ assert len(all_wf) >= 13
+ for name, wf in all_wf.items():
+ assert hasattr(wf, "name"), f"{name} is not a Workflow"
+ assert hasattr(wf, "nodes"), f"{name} is not a Workflow"
+
+ def test_contributed_not_imported_at_discover(self) -> None:
+ """discover() should not import contributed workflow modules."""
+ contrib_modules = [
+ "factory.workflow.contributed.swebench",
+ "factory.workflow.contributed.legacybench",
+ "factory.workflow.contributed.featurebench",
+ "factory.workflow.contributed.programbench",
+ "factory.workflow.contributed.terminalbench",
+ "factory.workflow.contributed.tomswe",
+ "factory.workflow.contributed.salitrap",
+ ]
+ for mod in contrib_modules:
+ sys.modules.pop(mod, None)
+
+ entries = WorkflowRegistry.discover()
+
+ assert "swebench" in entries
+ assert entries["swebench"].source == "builtin"
+
+ for mod in contrib_modules:
+ assert mod not in sys.modules, (
+ f"{mod} was imported during discover() — lazy loading broken"
+ )
+
+ def test_get_workflow_triggers_import(self) -> None:
+ """get_workflow() for a contributed workflow should import the module."""
+ sys.modules.pop("factory.workflow.contributed.swebench", None)
+
+ WorkflowRegistry.discover()
+ wf = WorkflowRegistry.get_workflow("swebench")
+
+ assert wf is not None
+ assert wf.name == "swebench"
+ assert "factory.workflow.contributed.swebench" in sys.modules
+
+ def test_discover_api_unchanged(self) -> None:
+ """discover() returns WorkflowEntry objects with all expected fields."""
+ entries = WorkflowRegistry.discover()
+ for name, entry in entries.items():
+ assert entry.name == name
+ assert isinstance(entry.description, str)
+ assert entry.source in ("builtin", "user", "project")
+ assert entry._workflow_fn is not None
+
+
+# ── Telemetry lazy import ───────────────────────────────────────
+
+
+class TestTelemetryLazyImport:
+ @pytest.fixture(autouse=True)
+ def _reset_telemetry(self):
+ """Save and restore telemetry module state without reloading."""
+ import factory.telemetry
+ saved_has = factory.telemetry._HAS_LANGFUSE
+ saved_client = factory.telemetry._client
+ yield
+ factory.telemetry._HAS_LANGFUSE = saved_has
+ factory.telemetry._client = saved_client
+
+ def test_langfuse_not_imported_at_module_level(self) -> None:
+ """_HAS_LANGFUSE starts as None (lazy — not checked at import time)."""
+ import factory.telemetry
+ factory.telemetry._HAS_LANGFUSE = None
+ assert factory.telemetry._HAS_LANGFUSE is None
+
+ def test_is_enabled_caches_import_result(self) -> None:
+ """is_enabled() should cache the import check result."""
+ import factory.telemetry
+ factory.telemetry._HAS_LANGFUSE = None
+ factory.telemetry._client = None
+
+ factory.telemetry.is_enabled()
+ assert factory.telemetry._HAS_LANGFUSE is not None
+
+ cached = factory.telemetry._HAS_LANGFUSE
+ factory.telemetry.is_enabled()
+ assert factory.telemetry._HAS_LANGFUSE == cached
+
+ def test_is_enabled_returns_false_without_host(self) -> None:
+ """is_enabled() returns False when no LANGFUSE env vars are set."""
+ import factory.telemetry
+ factory.telemetry._client = None
+ factory.telemetry._HAS_LANGFUSE = None
+
+ with patch.dict("os.environ", {}, clear=True):
+ result = factory.telemetry.is_enabled()
+
+ assert result is False
+
+
+# ── Executor timing summary ────────────────────────────────────
+
+
+class TestExecutorTimingSummary:
+ async def test_timing_summary_emitted(self, tmp_path: Path) -> None:
+ """execute() should emit a workflow.timing_summary log."""
+ from factory.workflow.executor import WorkflowExecutor
+ from factory.workflow.primitives import Edge, FnNode, Workflow
+
+ factory_dir = tmp_path / ".factory"
+ factory_dir.mkdir()
+
+ wf = Workflow(
+ name="timing-test",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", reads={"a.txt"}, writes={"b.txt"}),
+ },
+ edges=[Edge(source="a", target="b")],
+ start_node="a",
+ )
+
+ executor = WorkflowExecutor(wf, tmp_path, dry_run=True)
+
+ captured_events: list[dict] = []
+
+ with patch("factory.workflow.executor.log") as mock_log:
+ def capture_info(*args, **kwargs):
+ if args and args[0] == "workflow.timing_summary":
+ captured_events.append(kwargs)
+ mock_log.info = capture_info
+ mock_log.debug = lambda *a, **kw: None
+ mock_log.error = lambda *a, **kw: None
+ mock_log.warning = lambda *a, **kw: None
+
+ result = await executor.execute()
+
+ assert result.success
+ assert len(captured_events) == 1
+
+ summary = captured_events[0]
+ assert summary["workflow"] == "timing-test"
+ assert summary["run_id"] == executor.run_id
+ assert summary["total_ms"] > 0
+ assert summary["node_count"] == 2
+ assert len(summary["nodes"]) == 2
+ assert "overhead_ms" in summary
+
+ for node_entry in summary["nodes"]:
+ assert "id" in node_entry
+ assert "type" in node_entry
+ assert "duration_ms" in node_entry
+
+ assert summary["nodes"][0]["duration_ms"] >= summary["nodes"][1]["duration_ms"]
diff --git a/tests/test_leakage.py b/tests/test_leakage.py
index 900004f05..b6de4cee4 100644
--- a/tests/test_leakage.py
+++ b/tests/test_leakage.py
@@ -9,7 +9,6 @@
_extract_specific_values,
_tokenize_text,
fingerprint_fixed_surfaces,
- scan_diff_for_leakage,
scan_for_leakage,
validate_research_config,
)
@@ -68,7 +67,7 @@ def test_common_numbers_filtered(self):
assert "0.5" not in values
def test_quoted_strings(self):
- values = _extract_specific_values('label = "expected_output" and key = \'secret_value\'')
+ values = _extract_specific_values("label = \"expected_output\" and key = 'secret_value'")
assert "expected_output" in values
assert "secret_value" in values
@@ -87,9 +86,7 @@ def test_empty_text(self):
class TestFingerprintFixedSurfaces:
def test_extracts_tokens_from_files(self, tmp_path):
(tmp_path / "ground_truth.py").write_text(
- "def calculate_subtraction(a, b):\n"
- " return a - b\n"
- "EXPECTED_ACCURACY = 0.847\n"
+ "def calculate_subtraction(a, b):\n return a - b\nEXPECTED_ACCURACY = 0.847\n"
)
fps = fingerprint_fixed_surfaces(tmp_path, ["ground_truth.py"])
assert "ground_truth.py" in fps
@@ -252,57 +249,6 @@ def test_sensitivity_levels(self):
assert report_high.flagged
-# ── scan_diff_for_leakage ────────────────────────────────────
-
-
-class TestScanDiffForLeakage:
- def test_added_lines_scanned(self):
- fingerprints = {"truth.py": {"0.847"}}
- diff = (
- "diff --git a/src/main.py b/src/main.py\n"
- "--- a/src/main.py\n"
- "+++ b/src/main.py\n"
- "@@ -1,3 +1,4 @@\n"
- " existing code\n"
- "+EXPECTED_VALUE = 0.847\n"
- " more code\n"
- )
- report = scan_diff_for_leakage(diff, fingerprints)
- assert report.flagged
-
- def test_context_lines_ignored(self):
- fingerprints = {"truth.py": {"0.847"}}
- diff = (
- "diff --git a/src/main.py b/src/main.py\n"
- "--- a/src/main.py\n"
- "+++ b/src/main.py\n"
- "@@ -1,3 +1,3 @@\n"
- " EXISTING_VALUE = 0.847\n"
- "-old line\n"
- "+new line\n"
- )
- report = scan_diff_for_leakage(diff, fingerprints)
- assert not report.flagged
-
- def test_empty_diff(self):
- fingerprints = {"truth.py": {"0.847"}}
- report = scan_diff_for_leakage("", fingerprints)
- assert not report.flagged
-
- def test_no_added_lines(self):
- fingerprints = {"truth.py": {"subtract"}}
- diff = (
- "diff --git a/src/main.py b/src/main.py\n"
- "--- a/src/main.py\n"
- "+++ b/src/main.py\n"
- "@@ -1,3 +1,2 @@\n"
- " existing\n"
- "-removed line with subtract\n"
- )
- report = scan_diff_for_leakage(diff, fingerprints)
- assert not report.flagged
-
-
# ── validate_research_config ─────────────────────────────────
diff --git a/tests/test_legacybench_gate.py b/tests/test_legacybench_gate.py
new file mode 100644
index 000000000..58c90be49
--- /dev/null
+++ b/tests/test_legacybench_gate.py
@@ -0,0 +1,181 @@
+"""Tests for legacybench gate_verify hardening and executor reloop feedback."""
+
+import subprocess
+from pathlib import Path
+from unittest.mock import MagicMock
+
+from factory.workflow.contributed.legacybench.workflow import workflow as legacybench_workflow
+from factory.workflow.executor import WorkflowExecutor
+from factory.workflow.primitives import Edge, VerdictType
+
+
+def _get_gate_command() -> str:
+ """Extract the evaluator_command string from the legacybench gate_verify node."""
+ wf = legacybench_workflow()
+ gate = wf.nodes["gate_verify"]
+ return gate.evaluator_command
+
+
+def _run_gate(project_path: Path) -> str:
+ """Run the gate command in a subprocess and return stdout."""
+ cmd = _get_gate_command().replace("{project_path}", str(project_path))
+ result = subprocess.run(
+ cmd, shell=True, capture_output=True, text=True, timeout=30,
+ )
+ return result.stdout.strip()
+
+
+def _init_git(project: Path, tmp_path: Path) -> None:
+ """Initialize a git repo with an initial commit + a second commit with a file change."""
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(tmp_path),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+ subprocess.run(["git", "init"], cwd=project, capture_output=True, check=True, env=env)
+ subprocess.run(
+ ["git", "commit", "--allow-empty", "-m", "initial"],
+ cwd=project, capture_output=True, check=True, env=env,
+ )
+ (project / "change.txt").write_text("hello")
+ subprocess.run(["git", "add", "."], cwd=project, capture_output=True, check=True, env=env)
+ subprocess.run(
+ ["git", "commit", "-m", "builder change"],
+ cwd=project, capture_output=True, check=True, env=env,
+ )
+
+
+class TestGateVerifyScript:
+ """Tests 1-7: gate script behavior via subprocess."""
+
+ def test_no_commits_fail(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(tmp_path),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+ subprocess.run(["git", "init"], cwd=project, capture_output=True, check=True, env=env)
+ subprocess.run(
+ ["git", "commit", "--allow-empty", "-m", "initial"],
+ cwd=project, capture_output=True, check=True, env=env,
+ )
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ output = _run_gate(project)
+ assert output.startswith("fail")
+ assert "did not commit" in output
+
+ def test_missing_builder_output_fail(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ output = _run_gate(project)
+ assert output.startswith("fail")
+ assert "builder output missing" in output
+
+ def test_make_and_test_succeed_pass(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ (project / "Makefile").write_text(
+ "all:\n\t@echo 'build ok'\n\ntest:\n\t@echo 'tests pass'\n"
+ )
+ output = _run_gate(project)
+ assert output.startswith("pass")
+ assert "compilation and tests succeeded" in output
+
+ def test_make_fails_reloop(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ (project / "Makefile").write_text(
+ "all:\n\t@echo 'compile error on line 42' && exit 1\n\ntest:\n\t@echo 'ok'\n"
+ )
+ output = _run_gate(project)
+ assert output.startswith("reloop")
+ assert "compilation failed" in output
+ assert "compile error on line 42" in output
+
+ def test_make_test_fails_reloop(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ (project / "Makefile").write_text(
+ "all:\n\t@echo 'build ok'\n\ntest:\n\t@echo 'FAIL: assertion error' && exit 1\n"
+ )
+ output = _run_gate(project)
+ assert output.startswith("reloop")
+ assert "tests failed" in output
+ assert "FAIL: assertion error" in output
+
+ def test_no_makefile_reloop(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ output = _run_gate(project)
+ assert output.startswith("reloop")
+ assert "no Makefile found" in output
+
+ def test_no_test_target_reloop(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _init_git(project, tmp_path)
+ (project / ".factory" / "reviews").mkdir(parents=True)
+ (project / ".factory" / "reviews" / "builder-latest.md").write_text("done")
+ (project / "Makefile").write_text("all:\n\t@echo 'build ok'\n")
+ output = _run_gate(project)
+ assert output.startswith("reloop")
+ assert "no test target" in output
+
+
+def _make_executor() -> WorkflowExecutor:
+ """Build a minimal WorkflowExecutor with edge index for gate_verify."""
+ wf = legacybench_workflow()
+ executor = WorkflowExecutor.__new__(WorkflowExecutor)
+ executor.workflow = wf
+ executor.project_path = Path("/fake")
+ executor.log = MagicMock()
+ executor._edge_index: dict[str, list[Edge]] = {}
+ for edge in wf.edges:
+ executor._edge_index.setdefault(edge.source, []).append(edge)
+ return executor
+
+
+class TestParseFnVerdictFeedback:
+ """Test 8: executor _parse_fn_verdict passes through reloop text."""
+
+ def test_reloop_feedback_passthrough(self) -> None:
+ executor = _make_executor()
+ verdict = executor._parse_fn_verdict(
+ "reloop: compilation failed — error on line 42\n", "gate_verify"
+ )
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.feedback == "compilation failed — error on line 42"
+
+ def test_reloop_no_text_fallback(self) -> None:
+ executor = _make_executor()
+ verdict = executor._parse_fn_verdict("reloop:\n", "gate_verify")
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.feedback == "fn gate requested reloop"
+
+ def test_reloop_bare_word_fallback(self) -> None:
+ executor = _make_executor()
+ verdict = executor._parse_fn_verdict("reloop\n", "gate_verify")
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.feedback == "fn gate requested reloop"
diff --git a/tests/test_llm_tools.py b/tests/test_llm_tools.py
new file mode 100644
index 000000000..3a496fd35
--- /dev/null
+++ b/tests/test_llm_tools.py
@@ -0,0 +1,86 @@
+"""Tests for LLMNode tool execution."""
+from __future__ import annotations
+
+import asyncio
+
+import pytest
+
+from factory.workflow.llm_tools import (
+ BASH_TOOL,
+ FILE_EDIT_TOOL,
+ FILE_READ_TOOL,
+ execute_tool,
+)
+
+
+@pytest.fixture
+def work_dir(tmp_path):
+ (tmp_path / "test.py").write_text("line1\nline2\nline3\n")
+ return tmp_path
+
+
+class TestBashTool:
+ def test_bash_tool_definition(self):
+ assert BASH_TOOL.name == "bash"
+ assert BASH_TOOL.executor == "bash"
+ assert "command" in BASH_TOOL.input_schema["properties"]
+
+ def test_execute_bash(self, work_dir):
+ result = asyncio.run(
+ execute_tool("bash", {"command": "echo hello"}, BASH_TOOL, work_dir)
+ )
+ assert "hello" in result
+
+ def test_execute_bash_with_returncode(self, work_dir):
+ result = asyncio.run(
+ execute_tool("bash", {"command": "exit 1"}, BASH_TOOL, work_dir)
+ )
+ assert "exit code: 1" in result
+
+ def test_execute_bash_timeout(self, work_dir):
+ result = asyncio.run(
+ execute_tool(
+ "bash", {"command": "sleep 10"}, BASH_TOOL, work_dir,
+ cmd_timeout=1,
+ )
+ )
+ assert "timed out" in result
+
+
+class TestFileReadTool:
+ def test_read_existing(self, work_dir):
+ result = asyncio.run(
+ execute_tool("file_read", {"path": "test.py"}, FILE_READ_TOOL, work_dir)
+ )
+ assert "line1" in result
+
+ def test_read_missing(self, work_dir):
+ result = asyncio.run(
+ execute_tool("file_read", {"path": "nope.py"}, FILE_READ_TOOL, work_dir)
+ )
+ assert "not found" in result.lower()
+
+
+class TestFileEditTool:
+ def test_edit_existing(self, work_dir):
+ result = asyncio.run(
+ execute_tool(
+ "file_edit",
+ {"path": "test.py", "old_string": "line2", "new_string": "modified"},
+ FILE_EDIT_TOOL,
+ work_dir,
+ )
+ )
+ assert "Edited" in result
+ assert "modified" in (work_dir / "test.py").read_text()
+
+ def test_edit_missing_string(self, work_dir):
+ result = asyncio.run(
+ execute_tool(
+ "file_edit",
+ {"path": "test.py", "old_string": "nonexistent", "new_string": "x"},
+ FILE_EDIT_TOOL,
+ work_dir,
+ )
+ )
+ assert "not found" in result.lower()
diff --git a/tests/test_loop_context.py b/tests/test_loop_context.py
new file mode 100644
index 000000000..5d37f3a1d
--- /dev/null
+++ b/tests/test_loop_context.py
@@ -0,0 +1,871 @@
+"""Tests for loop context injection and feedback log in tool mode."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+from factory.workflow.registry import WorkflowRegistry
+from factory.workflow.tool import (
+ _find_loop_context,
+ _format_node_task,
+ _load_state,
+ _save_state,
+ _workflow_cache,
+ tool_init,
+ tool_next,
+ tool_submit,
+)
+
+
+@pytest.fixture(autouse=True)
+def _reset_registry():
+ WorkflowRegistry.reset()
+ _workflow_cache.clear()
+ yield
+ WorkflowRegistry.reset()
+ _workflow_cache.clear()
+
+
+def _register_workflow(wf: Workflow) -> None:
+ from factory.workflow.registry import WorkflowEntry
+ WorkflowRegistry._entries[wf.name] = WorkflowEntry(
+ name=wf.name,
+ description="test workflow",
+ path="<test>",
+ source="builtin",
+ _workflow_fn=lambda _wf=wf: _wf,
+ )
+
+
+def _reloop_workflow() -> Workflow:
+ """builder -> gate_qa -> (RELOOP) builder | (PROCEED) archivist."""
+ return Workflow(
+ name="test-reloop",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build the project at {project_path}",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: tests broken",
+ gate_prompt="Run QA checks on the builder output",
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ "archivist": AgentNode(
+ id="archivist",
+ role=AgentRole.ARCHIVIST,
+ prompt_template="Archive results",
+ writes={".factory/archive/build.md"},
+ blocking=False,
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_qa"),
+ Edge(source="gate_qa", target="archivist", condition=VerdictType.PROCEED),
+ Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+
+def _multi_gate_workflow() -> Workflow:
+ """builder -> gate_build -> health_checker -> gate_qa -> (RELOOP) builder."""
+ return Workflow(
+ name="test-multi-gate",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build at {project_path}",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate_build": GateNode(
+ id="gate_build",
+ evaluator_type="agent",
+ gate_prompt="Review build output",
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ "health_checker": AgentNode(
+ id="health_checker",
+ role=AgentRole.HEALTH_CHECKER,
+ prompt_template="Check health",
+ writes={".factory/reviews/health-check.md"},
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: qa issues",
+ gate_prompt="Run QA verification",
+ reads={".factory/reviews/health-check.md"},
+ ),
+ "archivist": AgentNode(
+ id="archivist",
+ role=AgentRole.ARCHIVIST,
+ prompt_template="Archive",
+ blocking=False,
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_build"),
+ Edge(source="gate_build", target="health_checker", condition=VerdictType.PROCEED),
+ Edge(source="gate_build", target="builder", condition=VerdictType.RELOOP),
+ Edge(source="health_checker", target="gate_qa"),
+ Edge(source="gate_qa", target="archivist", condition=VerdictType.PROCEED),
+ Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+
+class TestFindLoopContext:
+ def test_not_a_reloop_target_returns_empty(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {},
+ "feedback_log": {},
+ }
+ result = _find_loop_context("archivist", wf, state, tmp_path)
+ assert result == ""
+
+ def test_first_invocation_returns_topology_without_feedback(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {},
+ "feedback_log": {},
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+ assert "## LOOP CONTEXT" in result
+ assert "0/3" in result
+ assert "gate_qa" in result
+ assert "Run QA checks" in result
+ assert "Loop topology" in result
+ assert "Feedback history" not in result
+
+ def test_first_invocation_shows_zero_of_three(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 0},
+ "feedback_log": {},
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+ assert "## LOOP CONTEXT" in result
+ assert "0/3" in result
+ assert "FINAL ATTEMPT" not in result
+ assert "Feedback history" not in result
+
+ def test_single_gate_reloop_at_iteration_1(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": "tests broken: 3 failures in test_auth.py",
+ "timestamp": 1000.0,
+ }],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "## LOOP CONTEXT" in result
+ assert "1/3" in result
+ assert "gate_qa" in result
+ assert "Run QA checks" in result
+ assert "Loop topology" in result
+ assert "builder" in result
+ assert "Feedback history" in result
+ assert "tests broken" in result
+ assert "FINAL ATTEMPT" not in result
+
+ def test_multiple_gates_most_recent_wins(self, tmp_path: Path) -> None:
+ wf = _multi_gate_workflow()
+ state = {
+ "topo_order": ["builder", "gate_build", "health_checker", "gate_qa", "archivist"],
+ "iteration_counts": {
+ "gate_build->builder": 1,
+ "gate_qa->builder": 1,
+ },
+ "feedback_log": {
+ "builder": [
+ {
+ "gate": "gate_build",
+ "iteration": 1,
+ "feedback": "build review failed",
+ "timestamp": 1000.0,
+ },
+ {
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": "qa issues found",
+ "timestamp": 2000.0,
+ },
+ ],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "## LOOP CONTEXT" in result
+ assert "Triggered by: gate_qa" in result
+ assert "qa issues found" in result
+
+ def test_max_iteration_warning(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 3},
+ "feedback_log": {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 3,
+ "feedback": "still failing",
+ "timestamp": 1000.0,
+ }],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "FINAL ATTEMPT" in result
+ assert "3/3" in result
+
+ def test_iterations_but_no_feedback_log(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {},
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "## LOOP CONTEXT" in result
+ assert "1/3" in result
+ assert "gate_qa" in result
+ assert "Feedback history" not in result
+
+ def test_loop_topology_includes_intermediate_nodes(self, tmp_path: Path) -> None:
+ wf = _multi_gate_workflow()
+ state = {
+ "topo_order": ["builder", "gate_build", "health_checker", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": "qa failed",
+ "timestamp": 1000.0,
+ }],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "Loop topology" in result
+ assert "**builder**" in result
+ assert "**gate_build**" in result
+ assert "**health_checker**" in result
+ assert "**gate_qa**" in result
+
+ def test_feedback_truncated_to_500_chars(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ long_feedback = "x" * 1000
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": long_feedback,
+ "timestamp": 1000.0,
+ }],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ feedback_section = result.split("### Feedback history")[1]
+ line_with_feedback = [line for line in feedback_section.split("\n") if line.startswith("- [")][0]
+ feedback_content = line_with_feedback.split("] ", 1)[1]
+ assert len(feedback_content) <= 500
+
+ def test_only_last_2_feedback_entries_shown(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 3},
+ "feedback_log": {
+ "builder": [
+ {"gate": "gate_qa", "iteration": 1, "feedback": "first failure", "timestamp": 1.0},
+ {"gate": "gate_qa", "iteration": 2, "feedback": "second failure", "timestamp": 2.0},
+ {"gate": "gate_qa", "iteration": 3, "feedback": "third failure", "timestamp": 3.0},
+ ],
+ },
+ }
+ result = _find_loop_context("builder", wf, state, tmp_path)
+
+ assert "first failure" not in result
+ assert "second failure" in result
+ assert "third failure" in result
+
+
+class TestFeedbackLog:
+ def test_feedback_appended_on_fn_gate_reloop(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ result = tool_submit(tmp_path, "builder", "First attempt")
+ assert result.startswith("RETRY")
+
+ state = _load_state(tmp_path)
+ assert "builder" in state["feedback_log"]
+ entries = state["feedback_log"]["builder"]
+ assert len(entries) == 1
+ assert entries[0]["gate"] == "gate_qa"
+ assert entries[0]["iteration"] == 1
+ assert "FAIL" in entries[0]["feedback"]
+ assert isinstance(entries[0]["timestamp"], float)
+
+ def test_feedback_persists_across_save_load(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ state = _load_state(tmp_path)
+ state["feedback_log"] = {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": "test feedback",
+ "timestamp": 12345.0,
+ }],
+ }
+ _save_state(tmp_path, state)
+
+ reloaded = _load_state(tmp_path)
+ assert reloaded["feedback_log"]["builder"][0]["feedback"] == "test feedback"
+ assert reloaded["feedback_log"]["builder"][0]["timestamp"] == 12345.0
+
+ def test_feedback_truncated_on_gate_output(self, tmp_path: Path) -> None:
+ wf = Workflow(
+ name="test-long-feedback",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ "gate_check": GateNode(
+ id="gate_check",
+ evaluator_type="fn",
+ evaluator_command="python3 -c \"print('FAIL: ' + 'x' * 1000)\"",
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_check"),
+ Edge(source="gate_check", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-long-feedback", tmp_path)
+
+ tool_submit(tmp_path, "builder", "attempt")
+
+ state = _load_state(tmp_path)
+ entries = state["feedback_log"]["builder"]
+ assert len(entries[0]["feedback"]) <= 500
+
+ def test_multiple_feedback_entries_preserved(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ tool_submit(tmp_path, "builder", "First attempt")
+
+ state = _load_state(tmp_path)
+ del state["completed"]["builder"]
+ _save_state(tmp_path, state)
+
+ tool_submit(tmp_path, "builder", "Second attempt")
+
+ state = _load_state(tmp_path)
+ entries = state["feedback_log"]["builder"]
+ assert len(entries) == 2
+ assert entries[0]["iteration"] == 1
+ assert entries[1]["iteration"] == 2
+
+ def test_ceo_retry_verdict_appends_feedback(self, tmp_path: Path) -> None:
+ """When CEO submits RETRY for an agent gate, feedback is logged."""
+ wf = Workflow(
+ name="test-agent-gate",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ "gate_review": GateNode(
+ id="gate_review",
+ evaluator_type="agent",
+ gate_prompt="Review the build",
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_review"),
+ Edge(source="gate_review", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-agent-gate", tmp_path)
+
+ state = _load_state(tmp_path)
+ state["pointer_idx"] = 1
+ state["completed"]["builder"] = "built"
+ _save_state(tmp_path, state)
+
+ tool_submit(
+ tmp_path,
+ "gate_review",
+ 'RETRY target=builder feedback="Missing test coverage for auth module"',
+ )
+
+ state = _load_state(tmp_path)
+ assert "builder" in state["feedback_log"]
+ entries = state["feedback_log"]["builder"]
+ assert len(entries) == 1
+ assert entries[0]["gate"] == "gate_review"
+ assert "Missing test coverage" in entries[0]["feedback"]
+
+ def test_feedback_log_initialized_in_state(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ state = _load_state(tmp_path)
+ assert "feedback_log" in state
+ assert state["feedback_log"] == {}
+
+
+class TestFormatNodeTaskLoopContext:
+ def test_loop_context_present_at_iteration_0(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {},
+ "feedback_log": {},
+ }
+ result = _format_node_task("builder", wf.nodes["builder"], wf, state, tmp_path)
+ assert "LOOP CONTEXT" in result
+ assert "0/3" in result
+ assert "gate_qa" in result
+ assert "Feedback history" not in result
+
+ def test_loop_context_appended_at_iteration_1(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {
+ "builder": [{
+ "gate": "gate_qa",
+ "iteration": 1,
+ "feedback": "tests broken",
+ "timestamp": 1000.0,
+ }],
+ },
+ }
+ result = _format_node_task("builder", wf.nodes["builder"], wf, state, tmp_path)
+
+ assert "Node: builder" in result
+ assert "Type: Agent (builder)" in result
+ assert "## LOOP CONTEXT" in result
+ assert "1/3" in result
+ assert "gate_qa" in result
+ assert "tests broken" in result
+
+ def test_loop_context_not_injected_for_non_reloop_node(self, tmp_path: Path) -> None:
+ wf = _reloop_workflow()
+ state = {
+ "topo_order": ["builder", "gate_qa", "archivist"],
+ "iteration_counts": {"gate_qa->builder": 1},
+ "feedback_log": {},
+ }
+ result = _format_node_task("archivist", wf.nodes["archivist"], wf, state, tmp_path)
+ assert "LOOP CONTEXT" not in result
+
+ def test_integration_tool_next_includes_loop_context(self, tmp_path: Path) -> None:
+ """Full integration: fn gate RELOOP -> tool_next returns builder with loop context."""
+ wf = _reloop_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ result = tool_submit(tmp_path, "builder", "First attempt")
+ assert result.startswith("RETRY")
+
+ state = _load_state(tmp_path)
+ del state["completed"]["builder"]
+ del state["completed"]["gate_qa"]
+ _save_state(tmp_path, state)
+
+ review_file = tmp_path / ".factory" / "reviews" / "builder-latest.md"
+ if review_file.exists():
+ review_file.unlink()
+
+ result = tool_next(tmp_path)
+
+ assert "Node: builder" in result
+ assert "## LOOP CONTEXT" in result
+ assert "1/3" in result
+ assert "gate_qa" in result
+
+
+class TestLoopContextE2EComparison:
+ """A/B comparison tests: verify loop context injection changes builder task prompts."""
+
+ def _make_cli_app_workflow(self, name: str) -> Workflow:
+ return Workflow(
+ name=name,
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build the CLI app at {project_path}",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: lint errors",
+ gate_prompt="Check lint and tests pass",
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ "done": FnNode(id="done", command="echo done"),
+ },
+ edges=[
+ Edge(source="builder", target="gate_qa"),
+ Edge(source="gate_qa", target="done", condition=VerdictType.PROCEED),
+ Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+ def _make_web_app_workflow(self, name: str) -> Workflow:
+ return Workflow(
+ name=name,
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build the web app at {project_path}",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "health_checker": AgentNode(
+ id="health_checker",
+ role=AgentRole.HEALTH_CHECKER,
+ prompt_template="Check health",
+ writes={".factory/reviews/health-check.md"},
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: api tests broken",
+ gate_prompt="Verify API endpoints work",
+ reads={".factory/reviews/health-check.md"},
+ ),
+ "done": FnNode(id="done", command="echo done"),
+ },
+ edges=[
+ Edge(source="builder", target="health_checker"),
+ Edge(source="health_checker", target="gate_qa"),
+ Edge(source="gate_qa", target="done", condition=VerdictType.PROCEED),
+ Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+ def _make_lib_workflow(self, name: str) -> Workflow:
+ return Workflow(
+ name=name,
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build the library at {project_path}",
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "code_reviewer": AgentNode(
+ id="code_reviewer",
+ role=AgentRole.CODE_REVIEWER,
+ prompt_template="Review code",
+ writes={".factory/reviews/code-review.md"},
+ ),
+ "gate_review": GateNode(
+ id="gate_review",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: coverage below 80%",
+ gate_prompt="Check test coverage meets threshold",
+ reads={".factory/reviews/code-review.md"},
+ ),
+ "done": FnNode(id="done", command="echo done"),
+ },
+ edges=[
+ Edge(source="builder", target="code_reviewer"),
+ Edge(source="code_reviewer", target="gate_review"),
+ Edge(source="gate_review", target="done", condition=VerdictType.PROCEED),
+ Edge(source="gate_review", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+ def _simulate_reloop_cycle(
+ self, wf: Workflow, tmp_path: Path, *, with_loop_context: bool,
+ ) -> dict:
+ """Simulate one RELOOP cycle and collect builder task prompts.
+
+ Walks the workflow from builder through all intermediate nodes until
+ a fn gate triggers RELOOP, then simulates CEO re-invocation of builder.
+ Returns {prompts, reloop_count, has_loop_context, has_feedback}.
+ """
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir(parents=True, exist_ok=True)
+ tool_init(wf.name, tmp_path)
+
+ prompts: list[str] = []
+ reloop_count = 0
+
+ result = tool_next(tmp_path)
+ prompts.append(result)
+
+ result = tool_submit(tmp_path, "builder", "attempt 1")
+
+ if result.startswith("RETRY"):
+ reloop_count += 1
+ else:
+ state = _load_state(tmp_path)
+ order = state["topo_order"]
+ idx = state["pointer_idx"]
+
+ while idx < len(order):
+ nid = order[idx]
+ node = wf.nodes.get(nid)
+ if isinstance(node, AgentNode):
+ if node.writes:
+ for wp in node.writes:
+ out = tmp_path / wp
+ out.parent.mkdir(parents=True, exist_ok=True)
+ out.write_text(f"{node.role.value} output")
+ else:
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ role = node.role.value
+ (reviews_dir / f"{role}-latest.md").write_text(f"{role} output")
+ result = tool_next(tmp_path)
+ if result.startswith("RETRY"):
+ reloop_count += 1
+ break
+ state = _load_state(tmp_path)
+ idx = state["pointer_idx"]
+ else:
+ break
+
+ state = _load_state(tmp_path)
+ for nid in list(state["completed"]):
+ del state["completed"][nid]
+
+ if not with_loop_context:
+ state["iteration_counts"] = {}
+ state["feedback_log"] = {}
+
+ _save_state(tmp_path, state)
+
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ if reviews_dir.exists():
+ for f in reviews_dir.iterdir():
+ if f.suffix == ".md":
+ f.unlink()
+
+ result = tool_next(tmp_path)
+ prompts.append(result)
+
+ return {
+ "prompts": prompts,
+ "reloop_count": reloop_count,
+ "has_loop_context": "LOOP CONTEXT" in prompts[-1],
+ "has_feedback": "Feedback history" in prompts[-1],
+ }
+
+ def test_ab_comparison_cli_app(self, tmp_path: Path) -> None:
+ """CLI app: both arms have topology; only with_ctx has feedback."""
+ wf = self._make_cli_app_workflow("cli-app")
+
+ without = self._simulate_reloop_cycle(
+ wf, tmp_path / "cli-no-ctx", with_loop_context=False,
+ )
+ _workflow_cache.clear()
+ WorkflowRegistry.reset()
+
+ wf2 = self._make_cli_app_workflow("cli-app-ctx")
+ with_ctx = self._simulate_reloop_cycle(
+ wf2, tmp_path / "cli-with-ctx", with_loop_context=True,
+ )
+
+ assert without["has_loop_context"]
+ assert not without["has_feedback"]
+ assert with_ctx["has_loop_context"]
+ assert with_ctx["has_feedback"]
+ assert "lint" in with_ctx["prompts"][-1].lower()
+
+ def test_ab_comparison_web_app(self, tmp_path: Path) -> None:
+ """Web app: both arms have topology; only with_ctx has feedback."""
+ wf = self._make_web_app_workflow("web-app")
+
+ without = self._simulate_reloop_cycle(
+ wf, tmp_path / "web-no-ctx", with_loop_context=False,
+ )
+ _workflow_cache.clear()
+ WorkflowRegistry.reset()
+
+ wf2 = self._make_web_app_workflow("web-app-ctx")
+ with_ctx = self._simulate_reloop_cycle(
+ wf2, tmp_path / "web-with-ctx", with_loop_context=True,
+ )
+
+ assert without["has_loop_context"]
+ assert not without["has_feedback"]
+ assert with_ctx["has_loop_context"]
+ assert with_ctx["has_feedback"]
+ assert "api" in with_ctx["prompts"][-1].lower()
+ assert "health_checker" in with_ctx["prompts"][-1]
+
+ def test_ab_comparison_library(self, tmp_path: Path) -> None:
+ """Library: both arms have topology; only with_ctx has feedback."""
+ wf = self._make_lib_workflow("lib")
+
+ without = self._simulate_reloop_cycle(
+ wf, tmp_path / "lib-no-ctx", with_loop_context=False,
+ )
+ _workflow_cache.clear()
+ WorkflowRegistry.reset()
+
+ wf2 = self._make_lib_workflow("lib-ctx")
+ with_ctx = self._simulate_reloop_cycle(
+ wf2, tmp_path / "lib-with-ctx", with_loop_context=True,
+ )
+
+ assert without["has_loop_context"]
+ assert not without["has_feedback"]
+ assert with_ctx["has_loop_context"]
+ assert with_ctx["has_feedback"]
+ assert "coverage" in with_ctx["prompts"][-1].lower()
+ assert "code_reviewer" in with_ctx["prompts"][-1]
+
+ def test_ab_report_generation(self, tmp_path: Path) -> None:
+ """Generate a comparison report across all 3 test repos."""
+ scenarios = [
+ ("cli-app", self._make_cli_app_workflow),
+ ("web-app", self._make_web_app_workflow),
+ ("library", self._make_lib_workflow),
+ ]
+
+ report: dict[str, dict] = {}
+
+ for name, factory_fn in scenarios:
+ _workflow_cache.clear()
+ WorkflowRegistry.reset()
+
+ wf_no_ctx = factory_fn(f"{name}-no-ctx")
+ result_no_ctx = self._simulate_reloop_cycle(
+ wf_no_ctx, tmp_path / f"{name}-no-ctx", with_loop_context=False,
+ )
+
+ _workflow_cache.clear()
+ WorkflowRegistry.reset()
+
+ wf_with_ctx = factory_fn(f"{name}-with-ctx")
+ result_with_ctx = self._simulate_reloop_cycle(
+ wf_with_ctx, tmp_path / f"{name}-with-ctx", with_loop_context=True,
+ )
+
+ prompt_no_ctx = result_no_ctx["prompts"][-1]
+ prompt_with_ctx = result_with_ctx["prompts"][-1]
+
+ mentions_gate = any(
+ kw in prompt_with_ctx.lower()
+ for kw in ["gate", "qa", "check", "review", "coverage", "lint"]
+ )
+
+ report[name] = {
+ "without_feedback": {
+ "prompt_length": len(prompt_no_ctx),
+ "has_loop_context": result_no_ctx["has_loop_context"],
+ "has_feedback": result_no_ctx["has_feedback"],
+ "reloop_count": result_no_ctx["reloop_count"],
+ },
+ "with_feedback": {
+ "prompt_length": len(prompt_with_ctx),
+ "has_loop_context": result_with_ctx["has_loop_context"],
+ "has_feedback": result_with_ctx["has_feedback"],
+ "reloop_count": result_with_ctx["reloop_count"],
+ "mentions_downstream_criteria": mentions_gate,
+ },
+ }
+
+ report_path = tmp_path / "ab_comparison_report.json"
+ report_path.write_text(json.dumps(report, indent=2))
+
+ for name, data in report.items():
+ assert data["without_feedback"]["has_loop_context"], (
+ f"{name}: prompt without feedback should still have LOOP CONTEXT topology"
+ )
+ assert not data["without_feedback"]["has_feedback"], (
+ f"{name}: prompt without feedback should lack Feedback history"
+ )
+ assert data["with_feedback"]["has_loop_context"], (
+ f"{name}: prompt WITH feedback should include LOOP CONTEXT"
+ )
+ assert data["with_feedback"]["has_feedback"], (
+ f"{name}: prompt WITH feedback should include Feedback history"
+ )
+ assert data["with_feedback"]["mentions_downstream_criteria"], (
+ f"{name}: prompt WITH feedback should mention downstream gate criteria"
+ )
+ assert data["with_feedback"]["prompt_length"] > data["without_feedback"]["prompt_length"], (
+ f"{name}: prompt with feedback should be longer than without"
+ )
+
+ assert report_path.exists()
+ loaded = json.loads(report_path.read_text())
+ assert len(loaded) == 3
diff --git a/tests/test_mempalace_package.py b/tests/test_mempalace_package.py
new file mode 100644
index 000000000..c04e60b90
--- /dev/null
+++ b/tests/test_mempalace_package.py
@@ -0,0 +1,947 @@
+"""Tests for factory/mempalace/ package — helpers, reader, writer."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import os
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+from factory.mempalace.helpers import (
+ get_palace_path,
+ get_project_name,
+)
+
+
+class _FakeEmbeddingFunction:
+ """Deterministic embedding function that requires no ONNX runtime or network access."""
+
+ def __call__(self, input: list[str]) -> list[np.ndarray]:
+ return [self._hash_to_vector(text) for text in input]
+
+ @staticmethod
+ def _hash_to_vector(text: str) -> np.ndarray:
+ digest = hashlib.sha256(text.encode()).digest()
+ rng = np.random.Generator(np.random.PCG64(int.from_bytes(digest[:8], "little")))
+ return rng.standard_normal(384).astype(np.float32)
+
+ @staticmethod
+ def name() -> str:
+ return "default"
+
+
+@pytest.fixture()
+def isolated_palace(tmp_path: Path, monkeypatch):
+ """Redirect MemPalace storage to a temp directory so tests don't pollute ~/.mempalace."""
+ palace_dir = tmp_path / "test-palace"
+ palace_dir.mkdir()
+
+ def _fake() -> str:
+ return str(palace_dir)
+
+ monkeypatch.setattr("factory.mempalace.helpers.get_palace_path", _fake)
+ monkeypatch.setattr("factory.mempalace.writer.get_palace_path", _fake)
+ monkeypatch.setattr("factory.mempalace.reader.get_palace_path", _fake)
+
+ import mempalace.embedding
+
+ assert hasattr(mempalace.embedding, "get_embedding_function"), (
+ "mempalace.embedding.get_embedding_function no longer exists — "
+ "update the monkeypatch target"
+ )
+ monkeypatch.setattr(
+ "mempalace.embedding.get_embedding_function",
+ lambda *a, **kw: _FakeEmbeddingFunction(),
+ )
+
+ return str(palace_dir)
+
+
+class TestHelpers:
+ def test_get_palace_path_returns_string(self) -> None:
+ result = get_palace_path()
+ assert isinstance(result, str)
+ assert result.endswith("palace")
+
+ def test_get_project_name(self, tmp_path: Path) -> None:
+ result = get_project_name(tmp_path)
+ resolved = tmp_path.resolve().as_posix().replace(" ", "_")
+ assert result == resolved
+
+ def test_get_project_name_spaces_replaced(self) -> None:
+ p = Path("/Users/sbaig/Documents/AI Innovation/calculator")
+ result = get_project_name(p)
+ assert " " not in result
+ assert "/Users/sbaig/Documents/AI_Innovation/calculator" in result
+
+ def test_get_project_name_preserves_case(self) -> None:
+ p = Path("/tmp/MyProject")
+ result = get_project_name(p)
+ assert "MyProject" in result
+
+
+class TestExtractTaskTerms:
+ def test_filters_short_words(self) -> None:
+ from factory.mempalace.reader import _extract_task_terms
+
+ result = _extract_task_terms("add structured logging to the app")
+ assert "add" not in result
+ assert "the" not in result
+ assert "structured" in result
+ assert "logging" in result
+
+ def test_max_terms_cap(self) -> None:
+ from factory.mempalace.reader import _extract_task_terms
+
+ result = _extract_task_terms("alpha beta gamma delta epsilon zeta theta iota", max_terms=3)
+ assert len(result) == 3
+
+ def test_lowercases(self) -> None:
+ from factory.mempalace.reader import _extract_task_terms
+
+ result = _extract_task_terms("Structured Logging")
+ assert all(t == t.lower() for t in result)
+
+
+class TestMpRead:
+ def test_graceful_degradation(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ result = mp_read(tmp_path)
+ assert isinstance(result, str)
+
+ def test_graceful_degradation_with_task_hint(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ result = mp_read(tmp_path, task_hint="add structured logging")
+ assert isinstance(result, str)
+
+ def test_creates_memory_dir(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ assert (tmp_path / ".factory/archive/memory").exists()
+
+ def test_task_hint_used_as_query(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path, task_hint="add structured logging")
+ memory_dir = tmp_path / ".factory/archive/memory"
+ assert memory_dir.exists()
+ assert (memory_dir / "episodes.md").exists()
+ assert (memory_dir / "anti-patterns.md").exists()
+ assert (memory_dir / "reviews.md").exists()
+ assert (memory_dir / "decisions.md").exists()
+ assert (memory_dir / "context.md").exists()
+ ctx = (memory_dir / "context.md").read_text()
+ assert "## Episodic Memory (Task-Relevant)" in ctx
+ assert "## Past QA Findings" in ctx
+ assert "## Design Rationale" in ctx
+ assert "## Anti-Patterns & Past Failures" in ctx
+ assert "## Knowledge Graph Facts" in ctx
+ assert "## Experiment Outcomes" in ctx
+
+ def test_no_task_hint_falls_back_to_observations(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ memory_dir = tmp_path / ".factory/archive/memory"
+ assert (memory_dir / "context.md").exists()
+ ctx = (memory_dir / "context.md").read_text()
+ assert "## Episodic Memory (Task-Relevant)" in ctx
+ assert "## Past QA Findings" in ctx
+ assert "## Design Rationale" in ctx
+ assert "## Anti-Patterns & Past Failures" in ctx
+
+ def test_new_output_files_created(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path, task_hint="auth flow tradeoffs")
+ memory_dir = tmp_path / ".factory/archive/memory"
+ assert (memory_dir / "reviews.md").exists()
+ assert (memory_dir / "decisions.md").exists()
+ assert (memory_dir / "outcomes.md").exists()
+
+
+class TestMpWrite:
+ def test_graceful_degradation(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ result = mp_write(tmp_path)
+ assert isinstance(result, str)
+
+ def test_noop_without_mempalace(self, tmp_path: Path, monkeypatch) -> None:
+ import builtins
+
+ real_import = builtins.__import__
+
+ def mock_import(name, *args, **kwargs):
+ if name.startswith("mempalace"):
+ raise ImportError("mocked")
+ return real_import(name, *args, **kwargs)
+
+ monkeypatch.setattr(builtins, "__import__", mock_import)
+ from factory.mempalace.writer import mp_write
+
+ result = mp_write(tmp_path)
+ assert result == ""
+
+
+class TestMempalaceBrowse:
+ def test_browse_no_mempalace(self, tmp_path: Path, monkeypatch) -> None:
+ import builtins
+
+ real_import = builtins.__import__
+
+ def mock_import(name, *args, **kwargs):
+ if name.startswith("mempalace"):
+ raise ImportError("mocked")
+ return real_import(name, *args, **kwargs)
+
+ monkeypatch.setattr(builtins, "__import__", mock_import)
+ from factory.cli.mempalace import _do_browse
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 1
+
+ def test_browse_empty_palace(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result in (0, 1)
+
+ def test_browse_with_data(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="experiments",
+ content="test content",
+ source_file="test.md",
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "Wing:" in captured.out
+ assert "experiments" in captured.out
+
+ def test_browse_wing_filter(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="reviews",
+ content="review data",
+ source_file="review.md",
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=wing,
+ room=None,
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "Room:" in captured.out
+
+ def test_browse_drawer_by_id(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ from mempalace.palace import get_collection
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ content = "full drawer content for browse test"
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="decisions",
+ content=content,
+ source_file="verdict.json",
+ )
+
+ collection = get_collection(isolated_palace)
+ all_items = collection.get(
+ where={"$and": [{"wing": wing}, {"room": "decisions"}]},
+ include=["documents"],
+ )
+ assert all_items["ids"], "Expected at least one drawer"
+ drawer_id = all_items["ids"][0]
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer=drawer_id,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert content in captured.out
+ assert "Drawer:" in captured.out
+
+
+class TestMpWriteRooms:
+ def test_experiments_room(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.writer import mp_write
+ from factory.mempalace.helpers import get_project_name
+
+ from mempalace.palace import get_collection
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/archive").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text("## Strategy\nTest strategy content")
+ (tmp_path / ".factory/archive/build.md").write_text("Build narrative content")
+
+ mp_write(tmp_path)
+
+ collection = get_collection(isolated_palace)
+ pn = get_project_name(tmp_path)
+ results = collection.get(
+ where={"$and": [{"room": "experiments"}, {"wing": "project:" + pn}]},
+ include=["documents", "metadatas"],
+ )
+ assert len(results["ids"]) >= 1
+
+ def test_failures_room(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.writer import mp_write
+ from factory.mempalace.helpers import get_project_name
+
+ from mempalace.palace import get_collection
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/ceo-verdict-build.md").write_text(
+ "## CEO Review: Builder\n- **Verdict:** REDIRECT\n- **Rationale:** Insufficient coverage"
+ )
+
+ mp_write(tmp_path)
+
+ collection = get_collection(isolated_palace)
+ pn = get_project_name(tmp_path)
+ results = collection.get(
+ where={"$and": [{"room": "failures"}, {"wing": "project:" + pn}]},
+ include=["documents", "metadatas"],
+ )
+ assert len(results["ids"]) >= 1
+
+ def test_reviews_room(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.writer import mp_write
+ from factory.mempalace.helpers import get_project_name
+
+ from mempalace.palace import get_collection
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/code-review.md").write_text(
+ "## Code Review\n### Correctness: PASS\n### Security: PASS"
+ )
+
+ mp_write(tmp_path)
+
+ collection = get_collection(isolated_palace)
+ pn = get_project_name(tmp_path)
+ results = collection.get(
+ where={"$and": [{"room": "reviews"}, {"wing": "project:" + pn}]},
+ include=["documents", "metadatas"],
+ )
+ assert len(results["ids"]) >= 1
+
+ def test_decisions_room(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.writer import mp_write
+ from factory.mempalace.helpers import get_project_name
+
+ from mempalace.palace import get_collection
+
+ (tmp_path / ".factory/experiments/001").mkdir(parents=True)
+ (tmp_path / ".factory/experiments/001/verdict.json").write_text(
+ json.dumps({"verdict": "keep", "delta": 0.05, "notes": "Improved coverage"})
+ )
+
+ mp_write(tmp_path)
+
+ collection = get_collection(isolated_palace)
+ pn = get_project_name(tmp_path)
+ results = collection.get(
+ where={"$and": [{"room": "decisions"}, {"wing": "project:" + pn}]},
+ include=["documents", "metadatas"],
+ )
+ assert len(results["ids"]) >= 1
+
+
+class TestMpWriteHappyPaths:
+ """Exercise writer.py branches that require mempalace — mock helpers to avoid real palace."""
+
+ @pytest.fixture(autouse=True)
+ def _mock_helpers(self, tmp_path: Path, monkeypatch):
+ self.triples: list[tuple] = []
+ self.supersedes: list[tuple] = []
+ self.drawers: list[tuple] = []
+
+ monkeypatch.setattr(
+ "factory.mempalace.writer.kg_add_triple",
+ lambda subj, pred, obj, valid_from: self.triples.append((subj, pred, obj)),
+ )
+ monkeypatch.setattr(
+ "factory.mempalace.writer.kg_supersede",
+ lambda subj, pred, old, new, at: self.supersedes.append((subj, pred, new)),
+ )
+ monkeypatch.setattr(
+ "factory.mempalace.writer.store_drawer",
+ lambda palace, wing, room, content, source_file: self.drawers.append(
+ (room, content[:50])
+ ),
+ )
+ monkeypatch.setattr("factory.mempalace.writer.get_palace_path", lambda: str(tmp_path / "p"))
+
+ def test_hypotheses_recorded(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text(
+ "## Strategy\nImprove coverage\n\n#### H1: Add unit tests\n#### H2: Add integration tests"
+ )
+ mp_write(tmp_path)
+ hyps = [t for t in self.triples if t[1] == "has_hypothesis"]
+ assert len(hyps) == 2
+ assert any("Add unit tests" in h[2] for h in hyps)
+
+ def test_anti_patterns_recorded(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text(
+ "## Strategy\nTest\n\n## Anti-patterns\n- Monkey-patching internals\n- Skipping CI\n# Next"
+ )
+ mp_write(tmp_path)
+ aps = [t for t in self.triples if t[1] == "rejected_approach"]
+ assert len(aps) == 2
+ assert any("Monkey-patching" in a[2] for a in aps)
+
+ def test_design_session_recorded(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text(
+ "## Strategy\nFocus on auth hardening"
+ )
+ mp_write(tmp_path)
+ sessions = [t for t in self.triples if t[1] == "design_session"]
+ assert len(sessions) == 1
+ assert "Focus on auth hardening" in sessions[0][2]
+
+ def test_current_strategy_superseded(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text("## Auth Hardening\nDetails here")
+ mp_write(tmp_path)
+ strats = [s for s in self.supersedes if s[1] == "current_strategy"]
+ assert len(strats) == 1
+ assert strats[0][2] == "Auth Hardening"
+
+ def test_experiments_drawer_combines_current_and_build(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/archive").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/current.md").write_text("strategy content")
+ (tmp_path / ".factory/archive/build.md").write_text("build content")
+ mp_write(tmp_path)
+ exp_drawers = [d for d in self.drawers if d[0] == "experiments"]
+ assert len(exp_drawers) >= 1
+
+ def test_failures_from_redirect_verdict(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/ceo-verdict-build.md").write_text("REDIRECT: bad approach")
+ mp_write(tmp_path)
+ failures = [d for d in self.drawers if d[0] == "failures"]
+ assert len(failures) >= 1
+
+ def test_failures_from_health_check(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/health-check.md").write_text("Tests: FAIL\n3 errors found")
+ mp_write(tmp_path)
+ failures = [d for d in self.drawers if d[0] == "failures"]
+ assert len(failures) >= 1
+
+ def test_no_failures_from_proceed_verdict(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/ceo-verdict-build.md").write_text("PROCEED: looks good")
+ mp_write(tmp_path)
+ failures = [d for d in self.drawers if d[0] == "failures"]
+ assert len(failures) == 0
+
+ def test_reviews_room_qa_files(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/reviews").mkdir(parents=True)
+ (tmp_path / ".factory/reviews/code-review.md").write_text("review findings")
+ (tmp_path / ".factory/reviews/adversarial-qa.md").write_text("qa findings")
+ (tmp_path / ".factory/reviews/health-check.md").write_text("health ok")
+ mp_write(tmp_path)
+ reviews = [d for d in self.drawers if d[0] == "reviews"]
+ assert len(reviews) == 3
+
+ def test_research_room(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/research-combined.md").write_text("research findings")
+ mp_write(tmp_path)
+ research = [d for d in self.drawers if d[0] == "research"]
+ assert len(research) == 1
+
+ def test_decisions_room_verdict_json(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory/experiments/001").mkdir(parents=True)
+ (tmp_path / ".factory/experiments/001/verdict.json").write_text(
+ json.dumps({"verdict": "keep", "delta": 0.05})
+ )
+ mp_write(tmp_path)
+ decisions = [d for d in self.drawers if d[0] == "decisions"]
+ assert len(decisions) == 1
+
+ def test_eval_score_superseded(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory").mkdir(parents=True)
+ (tmp_path / ".factory/last_eval.json").write_text(json.dumps({"composite": 0.85}))
+ mp_write(tmp_path)
+ evals = [s for s in self.supersedes if s[1] == "eval_score"]
+ assert len(evals) == 1
+ assert evals[0][2] == "0.85"
+
+ def test_playbook_rules_superseded(self, tmp_path: Path, monkeypatch) -> None:
+ from factory.mempalace.writer import mp_write
+
+ playbooks_dir = tmp_path / "dot-factory" / "playbooks"
+ playbooks_dir.mkdir(parents=True)
+ (playbooks_dir / "builder.md").write_text(
+ "- [x] rule1 :: Always run tests\n- [x] rule2 :: Keep PRs small"
+ )
+
+ original_expanduser = os.path.expanduser
+
+ def _expanduser(p: str) -> str:
+ if p == "~/.factory/playbooks":
+ return str(playbooks_dir)
+ return original_expanduser(p)
+
+ monkeypatch.setattr("os.path.expanduser", _expanduser)
+ mp_write(tmp_path)
+ rules = [s for s in self.supersedes if s[1] == "has_rule"]
+ assert len(rules) == 2
+ assert any("Always run tests" in r[2] for r in rules)
+
+ def test_return_value(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ result = mp_write(tmp_path)
+ assert "MemPalace archive complete" in result
+
+ def test_no_current_md_skips_section1(self, tmp_path: Path) -> None:
+ from factory.mempalace.writer import mp_write
+
+ (tmp_path / ".factory").mkdir(parents=True)
+ mp_write(tmp_path)
+ assert len(self.triples) == 0
+ strats = [s for s in self.supersedes if s[1] == "current_strategy"]
+ assert len(strats) == 0
+
+
+class TestMpReadHappyPaths:
+ """Exercise reader.py branches with mocked helpers."""
+
+ @pytest.fixture(autouse=True)
+ def _mock_helpers(self, tmp_path: Path, monkeypatch):
+ monkeypatch.setattr(
+ "factory.mempalace.reader.search_episodes",
+ lambda palace, wing, query, n_results: f"episode for {query}",
+ )
+ monkeypatch.setattr(
+ "factory.mempalace.reader.search_build_outcomes",
+ lambda palace, wing, room, query, n_results: f"outcome:{room}",
+ )
+
+ class FakeKG:
+ def query_entity(self, name, direction="both", as_of=None):
+ return [{"subject": name, "predicate": "has", "object": "value"}]
+
+ def timeline(self, entity_name=None):
+ return [
+ {
+ "valid_from": "2026-01-01",
+ "subject": entity_name,
+ "predicate": "created",
+ "object": "v1",
+ }
+ ]
+
+ monkeypatch.setattr("factory.mempalace.reader.get_kg", FakeKG)
+ monkeypatch.setattr(
+ "factory.mempalace.reader.kg_query_entity",
+ lambda name, direction="both", as_of=None, kg=None: (
+ kg.query_entity(name, direction, as_of)
+ if kg
+ else [{"subject": name, "predicate": "has", "object": "value"}]
+ ),
+ )
+ monkeypatch.setattr(
+ "factory.mempalace.reader.kg_timeline",
+ lambda entity_name, kg=None: (
+ kg.timeline(entity_name=entity_name)
+ if kg
+ else [
+ {
+ "valid_from": "2026-01-01",
+ "subject": entity_name,
+ "predicate": "created",
+ "object": "v1",
+ }
+ ]
+ ),
+ )
+ monkeypatch.setattr("factory.mempalace.reader.get_palace_path", lambda: str(tmp_path / "p"))
+
+ def test_returns_context_content(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ result = mp_read(tmp_path)
+ assert "## Episodic Memory" in result
+ assert "## Knowledge Graph Facts" in result
+ assert "## Timeline" in result
+ assert "## Experiment Outcomes" in result
+
+ def test_context_file_written(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ ctx = (tmp_path / ".factory/archive/memory/context.md").read_text()
+ assert "## Episodic Memory" in ctx
+
+ def test_episodes_populated(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path, task_hint="auth flow")
+ ep = (tmp_path / ".factory/archive/memory/episodes.md").read_text()
+ assert "episode for auth flow" in ep
+
+ def test_facts_populated(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ fk = (tmp_path / ".factory/archive/memory/facts.md").read_text()
+ assert "has value" in fk
+
+ def test_timeline_populated(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ tl = (tmp_path / ".factory/archive/memory/timeline.md").read_text()
+ assert "2026-01-01" in tl
+ assert "created" in tl
+
+ def test_task_hint_expands_kg_queries(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path, task_hint="structured logging")
+ fk = (tmp_path / ".factory/archive/memory/facts.md").read_text()
+ assert "structured" in fk or "logging" in fk or "has value" in fk
+
+ def test_observations_fallback(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ (tmp_path / ".factory/strategy").mkdir(parents=True)
+ (tmp_path / ".factory/strategy/observations.md").write_text("line1\nline2\nline3")
+ mp_read(tmp_path)
+ ep = (tmp_path / ".factory/archive/memory/episodes.md").read_text()
+ assert "episode for line1 line2 line3" in ep
+
+ def test_anti_patterns_populated(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ anti = (tmp_path / ".factory/archive/memory/anti-patterns.md").read_text()
+ assert "outcome:failures" in anti
+
+ def test_outcomes_populated(self, tmp_path: Path) -> None:
+ from factory.mempalace.reader import mp_read
+
+ mp_read(tmp_path)
+ outcomes = (tmp_path / ".factory/archive/memory/outcomes.md").read_text()
+ assert "outcome:experiments" in outcomes
+
+
+class TestCliMempalace:
+ """Exercise cli/mempalace.py dispatch and sub-commands."""
+
+ def test_cmd_mempalace_read(self, tmp_path: Path, monkeypatch, capsys) -> None:
+ monkeypatch.setattr(
+ "factory.mempalace.reader.mp_read",
+ lambda pp, task_hint=None: "read output",
+ )
+ from factory.cli.mempalace import cmd_mempalace
+
+ args = argparse.Namespace(
+ mempalace_action="read", project_path=str(tmp_path), task_hint=None
+ )
+ result = cmd_mempalace(args)
+ assert result == 0
+ assert "read output" in capsys.readouterr().out
+
+ def test_cmd_mempalace_write(self, tmp_path: Path, monkeypatch, capsys) -> None:
+ monkeypatch.setattr(
+ "factory.mempalace.writer.mp_write",
+ lambda pp: "write output",
+ )
+ from factory.cli.mempalace import cmd_mempalace
+
+ args = argparse.Namespace(mempalace_action="write", project_path=str(tmp_path))
+ result = cmd_mempalace(args)
+ assert result == 0
+ assert "write output" in capsys.readouterr().out
+
+ def test_cmd_mempalace_unknown_action(self, tmp_path: Path) -> None:
+ from factory.cli.mempalace import cmd_mempalace
+
+ args = argparse.Namespace(mempalace_action="unknown", project_path=str(tmp_path))
+ result = cmd_mempalace(args)
+ assert result == 1
+
+ def test_do_read_empty_result(self, tmp_path: Path, monkeypatch, capsys) -> None:
+ monkeypatch.setattr("factory.mempalace.reader.mp_read", lambda pp, task_hint=None: "")
+ from factory.cli.mempalace import _do_read
+
+ result = _do_read(tmp_path)
+ assert result == 0
+ assert capsys.readouterr().out == ""
+
+ def test_do_write_empty_result(self, tmp_path: Path, monkeypatch, capsys) -> None:
+ monkeypatch.setattr("factory.mempalace.writer.mp_write", lambda pp: "")
+ from factory.cli.mempalace import _do_write
+
+ result = _do_write(tmp_path)
+ assert result == 0
+ assert capsys.readouterr().out == ""
+
+ def test_browse_with_room_filter(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="research",
+ content="research data here",
+ source_file="r.md",
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=wing,
+ room="research",
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "Room: research" in captured.out
+ assert "Drawer:" in captured.out
+
+ def test_browse_all_wings(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace, wing=wing, room="experiments", content="data", source_file="a.md"
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer=None,
+ all=True,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "Wing:" in captured.out
+
+ def test_browse_empty_wing(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing="project:nonexistent",
+ room=None,
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result in (0, 1)
+
+ def test_browse_empty_room(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace, wing=wing, room="experiments", content="data", source_file="a.md"
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=wing,
+ room="nonexistent",
+ drawer=None,
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "No drawers" in captured.out
+
+ def test_browse_nonexistent_drawer(self, tmp_path: Path, isolated_palace, capsys) -> None:
+ pytest.importorskip("mempalace")
+ from factory.cli.mempalace import _do_browse
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+ store_drawer(
+ isolated_palace, wing=wing, room="experiments", content="data", source_file="a.md"
+ )
+
+ args = argparse.Namespace(
+ project_path=str(tmp_path),
+ wing=None,
+ room=None,
+ drawer="nonexistent-id",
+ )
+ result = _do_browse(tmp_path, args)
+ assert result == 1
+ assert "not found" in capsys.readouterr().out
+
+
+class TestContentAddressedDrawers:
+ def test_same_content_deduplicates(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ from mempalace.palace import get_collection
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="experiments",
+ content="identical content",
+ source_file="a.md",
+ )
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="experiments",
+ content="identical content",
+ source_file="a.md",
+ )
+
+ collection = get_collection(isolated_palace)
+ results = collection.get(
+ where={"$and": [{"wing": wing}, {"room": "experiments"}]},
+ include=["documents"],
+ )
+ assert len(results["ids"]) == 1
+
+ def test_different_content_accumulates(self, tmp_path: Path, isolated_palace) -> None:
+ pytest.importorskip("mempalace")
+ from factory.mempalace.helpers import get_project_name, store_drawer
+
+ from mempalace.palace import get_collection
+
+ pn = get_project_name(tmp_path)
+ wing = "project:" + pn
+
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="experiments",
+ content="content alpha",
+ source_file="a.md",
+ )
+ store_drawer(
+ isolated_palace,
+ wing=wing,
+ room="experiments",
+ content="content beta",
+ source_file="a.md",
+ )
+
+ collection = get_collection(isolated_palace)
+ results = collection.get(
+ where={"$and": [{"wing": wing}, {"room": "experiments"}]},
+ include=["documents"],
+ )
+ assert len(results["ids"]) == 2
diff --git a/tests/test_messages.py b/tests/test_messages.py
index 9aeaa0caf..5c5d400e9 100644
--- a/tests/test_messages.py
+++ b/tests/test_messages.py
@@ -138,7 +138,7 @@ def test_message_subcommand_parsing(self) -> None:
class TestMessageInjection:
def test_build_ceo_task_includes_messages(self, tmp_path: Path) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
project = tmp_path / "proj"
project.mkdir()
@@ -152,7 +152,7 @@ def test_build_ceo_task_includes_messages(self, tmp_path: Path) -> None:
assert "HIGH PRIORITY" in task
def test_build_ceo_task_no_messages(self, tmp_path: Path) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
project = tmp_path / "proj"
project.mkdir()
@@ -160,7 +160,7 @@ def test_build_ceo_task_no_messages(self, tmp_path: Path) -> None:
assert "User Messages" not in task
def test_build_ceo_task_does_not_mark_read(self, tmp_path: Path) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
project = tmp_path / "proj"
project.mkdir()
diff --git a/tests/test_models.py b/tests/test_models.py
index eae0c7a2c..3178cf0e8 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -5,7 +5,6 @@
from factory.models import (
AggregateMethod,
- CostBudget,
CostBudgetConfig,
CompositeScore,
CycleState,
@@ -14,7 +13,6 @@
EvalResult,
ExperimentRecord,
FactoryConfig,
- Hypothesis,
InnerLoopConfig,
OuterLoopConfig,
ProjectProfile,
@@ -44,8 +42,13 @@ def test_valid_config(self, sample_config):
def test_rejects_extra_fields(self):
with pytest.raises(Exception):
FactoryConfig(
- goal="x", scope=[], guards=[], eval_command="x",
- eval_threshold=0.8, constraints=[], extra_field="bad",
+ goal="x",
+ scope=[],
+ guards=[],
+ eval_command="x",
+ eval_threshold=0.8,
+ constraints=[],
+ extra_field="bad",
)
def test_roundtrip_json(self, sample_config):
@@ -77,24 +80,36 @@ def test_failing_with_violations(self):
class TestEvalDimension:
def test_valid_dimension(self):
d = EvalDimension(
- name="tests", command="pytest", weight=0.5,
- parser="exit_code", description="Run tests", source="discovered",
+ name="tests",
+ command="pytest",
+ weight=0.5,
+ parser="exit_code",
+ description="Run tests",
+ source="discovered",
)
assert d.source == "discovered"
def test_with_regex(self):
d = EvalDimension(
- name="coverage", command="pytest --cov", weight=0.2,
- parser="regex", regex_pattern=r"(\d+)%",
- description="Coverage", source="researched",
+ name="coverage",
+ command="pytest --cov",
+ weight=0.2,
+ parser="regex",
+ regex_pattern=r"(\d+)%",
+ description="Coverage",
+ source="researched",
)
assert d.regex_pattern == r"(\d+)%"
def test_valid_sources(self):
for source in ("explicit", "discovered", "researched", "fallback"):
d = EvalDimension(
- name="x", command="x", weight=0.5,
- parser="exit_code", description="x", source=source,
+ name="x",
+ command="x",
+ weight=0.5,
+ parser="exit_code",
+ description="x",
+ source=source,
)
assert d.source == source
@@ -105,8 +120,12 @@ def test_valid_profile(self):
project_type="bot",
dimensions=[
EvalDimension(
- name="tests", command="pytest", weight=1.0,
- parser="exit_code", description="tests", source="discovered",
+ name="tests",
+ command="pytest",
+ weight=1.0,
+ parser="exit_code",
+ description="tests",
+ source="discovered",
)
],
tier="discovered",
@@ -128,81 +147,89 @@ def test_human_reviewed_flag(self):
class TestProjectProfile:
def test_minimal_profile(self):
p = ProjectProfile(
- name="test", language="python", project_type="cli_tool",
- has_tests=True, has_linter=True, has_type_checker=False, has_ci=False,
+ name="test",
+ language="python",
+ project_type="cli_tool",
+ has_tests=True,
+ has_linter=True,
+ has_type_checker=False,
+ has_ci=False,
)
assert p.framework is None
assert p.test_command is None
def test_full_profile(self):
p = ProjectProfile(
- name="test", language="python", framework="fastapi",
+ name="test",
+ language="python",
+ framework="fastapi",
project_type="web_app",
- has_tests=True, has_linter=True, has_type_checker=True, has_ci=True,
- test_command="pytest", lint_command="ruff check .",
- type_check_command="mypy src/", package_manager="uv",
+ has_tests=True,
+ has_linter=True,
+ has_type_checker=True,
+ has_ci=True,
+ test_command="pytest",
+ lint_command="ruff check .",
+ type_check_command="mypy src/",
+ package_manager="uv",
)
assert p.framework == "fastapi"
-class TestHypothesis:
- def test_valid_hypothesis(self):
- h = Hypothesis(
- description="Add tests",
- rationale="Coverage is low",
- expected_impact="tests score +0.2",
- target_files=["tests/test_new.py"],
- )
- assert len(h.target_files) == 1
-
-
class TestExperimentRecord:
def test_valid_record(self):
r = ExperimentRecord(
- id=1, timestamp=datetime.now(),
+ id=1,
+ timestamp=datetime.now(),
hypothesis="Test hypothesis",
change_summary="Added tests",
- issue_number=42, pr_number=43,
- score_before=0.8, score_after=0.9, delta=0.1,
- verdict="keep", cost_usd=1.5, notes="",
+ issue_number=42,
+ pr_number=43,
+ score_before=0.8,
+ score_after=0.9,
+ delta=0.1,
+ verdict="keep",
+ cost_usd=1.5,
+ notes="",
)
assert r.verdict == "keep"
def test_nullable_fields(self):
r = ExperimentRecord(
- id=1, timestamp=datetime.now(),
- hypothesis="x", change_summary="",
- issue_number=None, pr_number=None,
- score_before=None, score_after=None, delta=None,
- verdict="error", cost_usd=None, notes="crashed",
+ id=1,
+ timestamp=datetime.now(),
+ hypothesis="x",
+ change_summary="",
+ issue_number=None,
+ pr_number=None,
+ score_before=None,
+ score_after=None,
+ delta=None,
+ verdict="error",
+ cost_usd=None,
+ notes="crashed",
)
assert r.issue_number is None
def test_valid_verdicts(self):
for v in ("keep", "revert", "error"):
r = ExperimentRecord(
- id=1, timestamp=datetime.now(),
- hypothesis="x", change_summary="",
- issue_number=None, pr_number=None,
- score_before=None, score_after=None, delta=None,
- verdict=v, cost_usd=None, notes="",
+ id=1,
+ timestamp=datetime.now(),
+ hypothesis="x",
+ change_summary="",
+ issue_number=None,
+ pr_number=None,
+ score_before=None,
+ score_after=None,
+ delta=None,
+ verdict=v,
+ cost_usd=None,
+ notes="",
)
assert r.verdict == v
-class TestCostBudget:
- def test_defaults(self):
- b = CostBudget()
- assert b.per_experiment_max == 2.0
- assert b.per_session_max == 10.0
- assert b.per_month_max == 100.0
- assert b.current_session_spent == 0.0
-
- def test_custom_budget(self):
- b = CostBudget(per_experiment_max=5.0, per_session_max=50.0)
- assert b.per_experiment_max == 5.0
-
-
class TestResearchTarget:
def test_valid_target(self):
t = ResearchTarget(
@@ -231,16 +258,23 @@ def test_custom_timeout(self):
def test_rejects_invalid_parser(self):
with pytest.raises(Exception):
ResearchTarget(
- objective="x", metric="y", target=1.0,
- run_command="z", result_path="r",
+ objective="x",
+ metric="y",
+ target=1.0,
+ run_command="z",
+ result_path="r",
result_parser="exit_code",
)
def test_rejects_extra_fields(self):
with pytest.raises(Exception):
ResearchTarget(
- objective="x", metric="y", target=1.0,
- run_command="z", result_path="r", extra="bad",
+ objective="x",
+ metric="y",
+ target=1.0,
+ run_command="z",
+ result_path="r",
+ extra="bad",
)
@@ -268,8 +302,12 @@ def test_rejects_extra_fields(self):
class TestFactoryConfigResearchFields:
def test_defaults_preserve_backward_compat(self):
config = FactoryConfig(
- goal="Test", scope=[], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[],
+ goal="Test",
+ scope=[],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
)
assert config.research_target is None
assert config.mutable_surfaces == []
@@ -286,9 +324,15 @@ def test_with_research_target(self):
result_path="output.json",
)
config = FactoryConfig(
- goal="Research", scope=[], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[], research_target=rt,
- mutable_surfaces=["src/model.py"], fixed_surfaces=["data/"],
+ goal="Research",
+ scope=[],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
+ research_target=rt,
+ mutable_surfaces=["src/model.py"],
+ fixed_surfaces=["data/"],
research_constraints=["No extra dependencies"],
cost_budget=CostBudgetConfig(max_per_cycle=3.0),
)
@@ -309,9 +353,15 @@ def test_roundtrip_json_with_research(self):
result_path="metrics.json",
)
config = FactoryConfig(
- goal="Research", scope=["src/"], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[], research_target=rt,
- mutable_surfaces=["src/"], fixed_surfaces=["data/"],
+ goal="Research",
+ scope=["src/"],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
+ research_target=rt,
+ mutable_surfaces=["src/"],
+ fixed_surfaces=["data/"],
)
data = config.model_dump()
restored = FactoryConfig(**data)
@@ -417,8 +467,12 @@ def test_roundtrip_json(self):
class TestFactoryConfigInnerOuterLoop:
def test_defaults_none(self):
config = FactoryConfig(
- goal="Test", scope=[], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[],
+ goal="Test",
+ scope=[],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
)
assert config.inner_loop is None
assert config.outer_loop is None
@@ -426,8 +480,13 @@ def test_defaults_none(self):
def test_with_inner_loop(self):
il = InnerLoopConfig(runs_per_cycle=3, aggregate=AggregateMethod.median)
config = FactoryConfig(
- goal="Test", scope=[], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[], inner_loop=il,
+ goal="Test",
+ scope=[],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
+ inner_loop=il,
)
assert config.inner_loop is not None
assert config.inner_loop.runs_per_cycle == 3
@@ -440,8 +499,13 @@ def test_with_outer_loop(self):
outer_surfaces=["config/"],
)
config = FactoryConfig(
- goal="Test", scope=[], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[], outer_loop=ol,
+ goal="Test",
+ scope=[],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
+ outer_loop=ol,
)
assert config.outer_loop is not None
assert config.outer_loop.max_outer_cycles == 5
@@ -454,8 +518,14 @@ def test_roundtrip_json_with_loops(self):
outer_surfaces=["config/"],
)
config = FactoryConfig(
- goal="Research", scope=["src/"], guards=[], eval_command="pytest",
- eval_threshold=0.8, constraints=[], inner_loop=il, outer_loop=ol,
+ goal="Research",
+ scope=["src/"],
+ guards=[],
+ eval_command="pytest",
+ eval_threshold=0.8,
+ constraints=[],
+ inner_loop=il,
+ outer_loop=ol,
)
data = config.model_dump()
restored = FactoryConfig(**data)
diff --git a/tests/test_obsidian.py b/tests/test_obsidian.py
index ed755c962..e46a9e7af 100644
--- a/tests/test_obsidian.py
+++ b/tests/test_obsidian.py
@@ -33,12 +33,18 @@ def set_vault_path(obsidian_vault, monkeypatch):
@pytest.fixture
def sample_record() -> ExperimentRecord:
return ExperimentRecord(
- id=1, timestamp=datetime(2026, 4, 11, 12, 0),
+ id=1,
+ timestamp=datetime(2026, 4, 11, 12, 0),
hypothesis="Add session timeout handling",
change_summary="Added timeout check in gateway.py",
- issue_number=11, pr_number=12,
- score_before=0.82, score_after=0.87, delta=0.05,
- verdict="keep", cost_usd=1.5, notes="",
+ issue_number=11,
+ pr_number=12,
+ score_before=0.82,
+ score_after=0.87,
+ delta=0.05,
+ verdict="keep",
+ cost_usd=1.5,
+ notes="",
)
@@ -71,11 +77,15 @@ def test_note_has_hypothesis(self, sample_record, obsidian_vault):
def test_note_with_eval_details(self, sample_record, obsidian_vault):
before = CompositeScore(
- total=0.82, passed=True, guard_violations=[],
+ total=0.82,
+ passed=True,
+ guard_violations=[],
results=[EvalResult(name="tests", score=1.0, weight=0.5, passed=True, details="ok")],
)
after = CompositeScore(
- total=0.87, passed=True, guard_violations=[],
+ total=0.87,
+ passed=True,
+ guard_violations=[],
results=[EvalResult(name="tests", score=1.0, weight=0.5, passed=True, details="ok")],
)
path = write_experiment_note("cloud-gateway", sample_record, before, after)
@@ -226,12 +236,18 @@ def test_auto_creates_vault_on_write(self, tmp_path, monkeypatch):
assert not vault.exists()
record = ExperimentRecord(
- id=1, timestamp=datetime(2026, 4, 11, 12, 0),
+ id=1,
+ timestamp=datetime(2026, 4, 11, 12, 0),
hypothesis="Test auto-init",
change_summary="Auto-init test",
- issue_number=None, pr_number=None,
- score_before=0.5, score_after=0.6, delta=0.1,
- verdict="keep", cost_usd=None, notes="",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.5,
+ score_after=0.6,
+ delta=0.1,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
path = write_experiment_note("test-project", record)
assert path.exists()
@@ -241,26 +257,6 @@ def test_auto_creates_vault_on_write(self, tmp_path, monkeypatch):
class TestObsidianCli:
- def test_obsidian_available_when_missing(self, monkeypatch):
- """obsidian_available returns False when CLI not found."""
- monkeypatch.setattr(
- "factory.obsidian.notes.subprocess.run",
- Mock(side_effect=FileNotFoundError),
- )
- from factory.obsidian.notes import _obsidian_available
-
- assert _obsidian_available() is False
-
- def test_obsidian_available_when_timeout(self, monkeypatch):
- """obsidian_available returns False on timeout."""
- monkeypatch.setattr(
- "factory.obsidian.notes.subprocess.run",
- Mock(side_effect=subprocess.TimeoutExpired("obsidian", 5)),
- )
- from factory.obsidian.notes import _obsidian_available
-
- assert _obsidian_available() is False
-
def test_obsidian_create_success(self, monkeypatch):
"""obsidian_create returns True on success."""
mock_run = Mock(return_value=Mock(returncode=0))
@@ -282,7 +278,10 @@ def test_obsidian_create_fallback(self, monkeypatch):
assert _obsidian_create("test", "content") is False
def test_write_experiment_tries_cli_first(
- self, monkeypatch, sample_record, obsidian_vault,
+ self,
+ monkeypatch,
+ sample_record,
+ obsidian_vault,
):
"""write_experiment_note tries obsidian-cli before file write."""
calls: list[list[str]] = []
diff --git a/tests/test_outer_loop/__init__.py b/tests/test_outer_loop/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/tests/test_outer_loop/conftest.py b/tests/test_outer_loop/conftest.py
new file mode 100644
index 000000000..e6ca197c5
--- /dev/null
+++ b/tests/test_outer_loop/conftest.py
@@ -0,0 +1,67 @@
+"""Shared fixtures for outer loop tests."""
+
+from __future__ import annotations
+
+import pytest
+
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+
+@pytest.fixture()
+def simple_workflow() -> Workflow:
+ """A simple 5-node workflow for mutation testing.
+
+ study → researcher → strategist → builder → gate_qa
+ """
+ nodes = {
+ "study": FnNode(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/strategy/observations.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher",
+ role=AgentRole.RESEARCHER,
+ reads={".factory/strategy/observations.md"},
+ writes={".factory/strategy/research.md"},
+ ),
+ "strategist": AgentNode(
+ id="strategist",
+ role=AgentRole.STRATEGIST,
+ reads={".factory/strategy/research.md"},
+ writes={".factory/strategy/current.md"},
+ ),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ reads={".factory/strategy/current.md"},
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate_qa": GateNode(
+ id="gate_qa",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.CEO,
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ }
+ edges = [
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="strategist"),
+ Edge(source="strategist", target="builder"),
+ Edge(source="builder", target="gate_qa"),
+ Edge(source="gate_qa", target="builder", condition=VerdictType.RELOOP),
+ ]
+ return Workflow(
+ name="test_simple",
+ nodes=nodes,
+ edges=edges,
+ start_node="study",
+ )
diff --git a/tests/test_outer_loop/test_cli.py b/tests/test_outer_loop/test_cli.py
new file mode 100644
index 000000000..cbf50c9f8
--- /dev/null
+++ b/tests/test_outer_loop/test_cli.py
@@ -0,0 +1,499 @@
+"""Tests for outer-loop CLI argument parsing and mode registration."""
+
+from __future__ import annotations
+
+from unittest.mock import patch
+
+
+class TestDiskSpaceCheck:
+ def test_sufficient_space_passes(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _check_disk_space
+
+ assert _check_disk_space(Path(str(tmp_path)), population_size=4) is True
+
+ def test_insufficient_space_fails(self, tmp_path: object) -> None:
+ from collections import namedtuple
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _check_disk_space
+
+ DiskUsage = namedtuple("usage", ["total", "used", "free"])
+ tiny = DiskUsage(total=100 * 1024**3, used=99 * 1024**3, free=1 * 1024**3)
+ with patch("factory.cli.outer_loop.shutil.disk_usage", return_value=tiny):
+ assert _check_disk_space(Path(str(tmp_path)), population_size=4) is False
+
+ def test_required_space_formula(self) -> None:
+ from collections import namedtuple
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _check_disk_space
+
+ DiskUsage = namedtuple("usage", ["total", "used", "free"])
+
+ exactly_enough = DiskUsage(
+ total=100 * 1024**3,
+ used=80 * 1024**3,
+ free=int(20.1 * 1024**3),
+ )
+ with patch("factory.cli.outer_loop.shutil.disk_usage", return_value=exactly_enough):
+ assert _check_disk_space(Path("/tmp"), population_size=50) is True
+
+ not_enough = DiskUsage(
+ total=100 * 1024**3,
+ used=81 * 1024**3,
+ free=int(19.9 * 1024**3),
+ )
+ with patch("factory.cli.outer_loop.shutil.disk_usage", return_value=not_enough):
+ assert _check_disk_space(Path("/tmp"), population_size=50) is False
+
+
+class TestOuterLoopModeRegistration:
+ def test_outer_loop_in_ceo_modes(self) -> None:
+ from factory.cli._helpers import CEO_MODES
+
+ assert "outer-loop" in CEO_MODES
+
+
+class TestOuterLoopCLIParsing:
+ def _parse_outer_loop(self, *args: str) -> object:
+ from factory.cli._main import build_parser
+
+ parser = build_parser()
+ return parser.parse_args(["outer-loop", *args])
+
+ def test_calibrate_subcommand(self) -> None:
+ ns = self._parse_outer_loop("calibrate", "/tmp/project")
+ assert ns.command == "outer-loop"
+ assert ns.outer_loop_command == "calibrate"
+ assert ns.project_path == "/tmp/project"
+
+ def test_calibrate_with_options(self) -> None:
+ ns = self._parse_outer_loop(
+ "calibrate", "/tmp/project",
+ "--benchmark", "featurebench",
+ "--budget", "50",
+ "--population-size", "4",
+ )
+ assert ns.benchmark == "featurebench"
+ assert ns.budget == 50
+ assert ns.population_size == 4
+
+ def test_calibrate_with_target_project(self) -> None:
+ ns = self._parse_outer_loop(
+ "calibrate", "/tmp/project",
+ "--project-dir", "/tmp/featurebench-instance",
+ )
+ assert ns.project_dir == "/tmp/featurebench-instance"
+
+ def test_calibrate_without_target_project(self) -> None:
+ ns = self._parse_outer_loop("calibrate", "/tmp/project")
+ assert ns.project_dir is None
+
+ def test_evaluate_subcommand(self) -> None:
+ ns = self._parse_outer_loop("evaluate", "/tmp/project", "--generation", "3")
+ assert ns.outer_loop_command == "evaluate"
+ assert ns.generation == 3
+
+ def test_reflect_subcommand(self) -> None:
+ ns = self._parse_outer_loop("reflect", "/tmp/project", "--generation", "2")
+ assert ns.outer_loop_command == "reflect"
+ assert ns.generation == 2
+
+ def test_evolve_subcommand(self) -> None:
+ ns = self._parse_outer_loop("evolve", "/tmp/project", "--generation", "1")
+ assert ns.outer_loop_command == "evolve"
+ assert ns.generation == 1
+
+ def test_status_subcommand(self) -> None:
+ ns = self._parse_outer_loop("status", "/tmp/project")
+ assert ns.outer_loop_command == "status"
+
+ def test_status_check_converge(self) -> None:
+ ns = self._parse_outer_loop("status", "/tmp/project", "--check-converge")
+ assert ns.check_converge is True
+
+ def test_promote_subcommand(self) -> None:
+ ns = self._parse_outer_loop("promote", "/tmp/project", "--mode-name", "evolve-gen5-abc")
+ assert ns.outer_loop_command == "promote"
+ assert ns.mode_name == "evolve-gen5-abc"
+
+ def test_promote_with_permanent_name(self) -> None:
+ ns = self._parse_outer_loop(
+ "promote", "/tmp/project",
+ "--mode-name", "evolve-gen5-abc",
+ "--permanent-name", "my-evolved",
+ )
+ assert ns.permanent_name == "my-evolved"
+
+
+class TestEvaluateTargetProjectFallback:
+ def test_evaluate_uses_config_target_project(self, tmp_path: object) -> None:
+ """_cmd_evaluate falls back to config.target_project when --project-dir not passed."""
+ import argparse
+ from pathlib import Path
+ from unittest.mock import patch
+
+ from factory.outer_loop.models import SwarmConfig
+
+ project = Path(str(tmp_path)) / "factory-project"
+ project.mkdir()
+
+ cfg = SwarmConfig(
+ benchmark="featurebench",
+ budget=50,
+ target_project="/tmp/featurebench-instance",
+ )
+
+ with patch("factory.outer_loop.filesystem.load_config", return_value=cfg), \
+ patch("factory.outer_loop.filesystem.load_checkpoint", return_value=None), \
+ patch("factory.outer_loop.filesystem.save_checkpoint"):
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+
+ with patch.object(EphemeralModeRegistry, "list_modes", return_value=[]):
+ from factory.cli.outer_loop import _cmd_evaluate
+
+ ns = argparse.Namespace(
+ project_path=str(project),
+ generation=0,
+ project_dir=None,
+ )
+ rc = _cmd_evaluate(ns)
+ assert rc == 1 # no modes, but it should reach the "no modes" error
+
+
+class TestInnerLoopFactoryReusesExistingModes:
+ """Bug #16: _make_inner_loop_factory should reuse existing modes, not create eval copies."""
+
+ def test_returns_existing_mode_by_structural_hash(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _make_inner_loop_factory
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ project = Path(str(tmp_path))
+ registry = EphemeralModeRegistry(project)
+
+ wf = Workflow(
+ name="test-wf",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+ registered_name = registry.register("abc12345", 0, wf)
+
+ factory_fn = _make_inner_loop_factory(registry)
+ result = factory_fn(wf)
+ assert result == registered_name
+ assert "eval" not in result
+
+ def test_does_not_create_eval_copy_modes(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _make_inner_loop_factory
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ project = Path(str(tmp_path))
+ registry = EphemeralModeRegistry(project)
+
+ wf = Workflow(
+ name="test-wf",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+ registry.register("seed0001", 0, wf)
+
+ factory_fn = _make_inner_loop_factory(registry)
+ factory_fn(wf)
+ factory_fn(wf)
+ factory_fn(wf)
+
+ modes = registry.list_modes()
+ eval_modes = [m for m in modes if "eval" in m]
+ assert eval_modes == [], f"Unexpected eval-copy modes: {eval_modes}"
+ assert len(modes) == 1
+
+ def test_caches_hash_lookups(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _make_inner_loop_factory
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ project = Path(str(tmp_path))
+ registry = EphemeralModeRegistry(project)
+
+ wf = Workflow(
+ name="test-wf",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+ registered_name = registry.register("abc12345", 0, wf)
+
+ factory_fn = _make_inner_loop_factory(registry)
+ r1 = factory_fn(wf)
+ r2 = factory_fn(wf)
+ assert r1 == r2 == registered_name
+
+ def test_fallback_registers_new_mode_for_unknown_workflow(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _make_inner_loop_factory
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ project = Path(str(tmp_path))
+ registry = EphemeralModeRegistry(project)
+
+ factory_fn = _make_inner_loop_factory(registry)
+
+ wf = Workflow(
+ name="new-wf",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+ result = factory_fn(wf)
+ assert result.startswith("evolve-gen0-")
+ assert "eval" not in result
+
+
+class TestReflectReadsCachedData:
+ """Bug #17: _cmd_reflect should read cached data instead of re-evaluating."""
+
+ def test_reflect_uses_saved_results_and_cycle_summary(self, tmp_path: object) -> None:
+ import argparse
+ import json
+ from pathlib import Path
+ from unittest.mock import patch
+
+ from factory.outer_loop.models import SwarmConfig
+
+ project = Path(str(tmp_path))
+ modes_dir = project / ".factory" / "outer_loop" / "modes"
+ modes_dir.mkdir(parents=True)
+ results_dir = project / ".factory" / "outer_loop" / "results"
+ results_dir.mkdir(parents=True)
+
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ wf1 = Workflow(
+ name="mode-a",
+ nodes={"b": AgentNode(id="b", role=AgentRole.BUILDER, writes=set())},
+ edges=[], start_node="b", terminal=True,
+ )
+ wf2 = Workflow(
+ name="mode-b",
+ nodes={"b": AgentNode(id="b", role=AgentRole.RESEARCHER, writes=set())},
+ edges=[], start_node="b", terminal=True,
+ )
+
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+
+ registry = EphemeralModeRegistry(project)
+ name_a = registry.register("aaa", 0, wf1)
+ name_b = registry.register("bbb", 0, wf2)
+
+ gen_results = {
+ name_a: {"score": 0.85, "cost_usd": 1.0},
+ name_b: {"score": 0.72, "cost_usd": 0.5},
+ }
+ (results_dir / "gen0.json").write_text(json.dumps(gen_results))
+
+ for name, score in [(name_a, 0.85), (name_b, 0.72)]:
+ runs_dir = project / ".factory" / "outer_loop" / "runs" / name
+ runs_dir.mkdir(parents=True)
+ summary = {"mode": name, "score": score, "cost_usd": 0.5, "kept": 2, "reverted": 1}
+ (runs_dir / "cycle_summary.json").write_text(json.dumps(summary))
+
+ cfg = SwarmConfig(benchmark="featurebench", budget=50)
+
+ with patch("factory.outer_loop.filesystem.load_config", return_value=cfg):
+ from factory.cli.outer_loop import _cmd_reflect
+
+ ns = argparse.Namespace(project_path=str(project), generation=0)
+ rc = _cmd_reflect(ns)
+ assert rc == 0
+
+ def test_load_cycle_summary_returns_record(self, tmp_path: object) -> None:
+ import json
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _load_cycle_summary
+
+ project = Path(str(tmp_path))
+ runs_dir = project / ".factory" / "outer_loop" / "runs" / "evolve-gen0-abc"
+ runs_dir.mkdir(parents=True)
+ summary = {
+ "mode": "evolve-gen0-abc",
+ "score": 0.9,
+ "cost_usd": 1.5,
+ "kept": 3,
+ "reverted": 1,
+ "agents_failed": 0,
+ "duration_ms": 5000,
+ }
+ (runs_dir / "cycle_summary.json").write_text(json.dumps(summary))
+
+ rec = _load_cycle_summary(project, "evolve-gen0-abc")
+ assert rec is not None
+ assert rec.score_end == 0.9
+ assert rec.kept == 3
+ assert rec.reverted == 1
+ assert rec.total_cost_usd == 1.5
+ assert rec.duration_s == 5.0
+
+ def test_load_cycle_summary_returns_none_for_missing(self, tmp_path: object) -> None:
+ from pathlib import Path
+
+ from factory.cli.outer_loop import _load_cycle_summary
+
+ project = Path(str(tmp_path))
+ rec = _load_cycle_summary(project, "nonexistent-mode")
+ assert rec is None
+
+ def test_evaluate_persists_cycle_summary(self, tmp_path: object) -> None:
+ """_cmd_evaluate should write cycle_summary.json for each evaluated mode."""
+ import argparse
+ import json
+ from pathlib import Path
+ from unittest.mock import MagicMock, patch
+
+ from factory.outer_loop.models import EvalResult, SwarmConfig
+
+ project = Path(str(tmp_path))
+ modes_dir = project / ".factory" / "outer_loop" / "modes"
+ modes_dir.mkdir(parents=True)
+
+ from factory.workflow.primitives import AgentNode, AgentRole, Workflow
+
+ wf = Workflow(
+ name="test-wf",
+ nodes={"b": AgentNode(id="b", role=AgentRole.BUILDER, writes=set())},
+ edges=[], start_node="b", terminal=True,
+ )
+ from factory.outer_loop.mode_registry import EphemeralModeRegistry
+
+ registry = EphemeralModeRegistry(project)
+ mode_name = registry.register("test01", 0, wf)
+
+ cfg = SwarmConfig(benchmark="featurebench", budget=50)
+ mock_result = EvalResult(
+ score=0.75, benchmark_score=0.8, cost_usd=2.0,
+ details={"kept": 2, "reverted": 1},
+ )
+
+ mock_evaluator = MagicMock()
+ mock_evaluator.evaluate.return_value = mock_result
+
+ with patch("factory.outer_loop.filesystem.load_config", return_value=cfg), \
+ patch("factory.outer_loop.filesystem.load_checkpoint", return_value=None), \
+ patch("factory.outer_loop.filesystem.save_checkpoint"), \
+ patch("factory.outer_loop.evaluator.SwarmEvaluator", return_value=mock_evaluator):
+ from factory.cli.outer_loop import _cmd_evaluate
+
+ ns = argparse.Namespace(
+ project_path=str(project), generation=0, project_dir=None,
+ )
+ rc = _cmd_evaluate(ns)
+ assert rc == 0
+
+ summary_path = (
+ project / ".factory" / "outer_loop" / "runs" / mode_name / "cycle_summary.json"
+ )
+ assert summary_path.exists()
+ data = json.loads(summary_path.read_text())
+ assert data["score"] == 0.75
+ assert data["kept"] == 2
+
+
+class TestOuterLoopWorkflowGraph:
+ def test_workflow_validates(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+
+ wf = workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"Workflow validation issues: {issues}"
+
+ def test_workflow_name(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+
+ wf = workflow()
+ assert wf.name == "outer-loop"
+
+ def test_workflow_start_node(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+
+ wf = workflow()
+ assert wf.start_node == "seed"
+
+ def test_workflow_has_expected_nodes(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+
+ wf = workflow()
+ expected = {"seed", "evaluate", "reflect", "evolve", "gate_converge", "promote"}
+ assert set(wf.nodes.keys()) == expected
+
+ def test_workflow_generation_loop(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+ from factory.workflow.primitives import VerdictType
+
+ wf = workflow()
+ loop_edge = [
+ e for e in wf.edges
+ if e.source == "gate_converge"
+ and e.target == "evaluate"
+ and e.condition == VerdictType.RELOOP
+ ]
+ assert len(loop_edge) == 1
+
+ def test_workflow_is_terminal(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+
+ wf = workflow()
+ assert wf.terminal is True
+
+ def test_workflow_serialization_round_trip(self) -> None:
+ from factory.workflow.contributed.outer_loop.workflow import workflow
+ from factory.workflow.primitives import Workflow
+
+ wf = workflow()
+ data = wf.to_dict()
+ restored = Workflow.from_dict(data)
+
+ assert restored.name == wf.name
+ assert set(restored.nodes.keys()) == set(wf.nodes.keys())
+ assert len(restored.edges) == len(wf.edges)
diff --git a/tests/test_outer_loop/test_coverage_gaps.py b/tests/test_outer_loop/test_coverage_gaps.py
new file mode 100644
index 000000000..5ac8c12db
--- /dev/null
+++ b/tests/test_outer_loop/test_coverage_gaps.py
@@ -0,0 +1,505 @@
+"""Tests covering 8 edge-case gaps identified by pitfalls research.
+
+These target failure modes that only manifest at scale or under unusual
+conditions — the kind of scenarios that mock-only tests silently skip.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.cycle_analyzer import AgentStep, CycleRecord
+from factory.outer_loop.engine import SwarmEngine
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.mode_registry import EphemeralModeRegistry
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.outer_loop.mutations import WeightedRandomStrategy
+from factory.outer_loop.population import Population
+from factory.outer_loop.reflector import OuterLoopReflector
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+
+def _make_config(**overrides: object) -> SwarmConfig:
+ defaults: dict[str, object] = {
+ "benchmark": "test",
+ "budget": 30,
+ "population_size": 4,
+ "tournament_size": 2,
+ "mutation_rate": 0.3,
+ "training_instances": ["t1", "t2"],
+ "holdout_instances": ["h1"],
+ }
+ defaults.update(overrides)
+ return SwarmConfig(**defaults) # type: ignore[arg-type]
+
+
+def _make_workflow(name: str = "test_wf") -> Workflow:
+ return Workflow(
+ name=name,
+ nodes={
+ "study": FnNode(
+ id="study", command="factory study", writes={".factory/obs.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ reads={".factory/obs.md"}, writes={".factory/research.md"},
+ ),
+ "strategist": AgentNode(
+ id="strategist", role=AgentRole.STRATEGIST,
+ reads={".factory/research.md"}, writes={".factory/current.md"},
+ ),
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ reads={".factory/current.md"}, writes={".factory/build.md"},
+ ),
+ "gate": GateNode(
+ id="gate", evaluator_type="fn",
+ reads={".factory/build.md"},
+ ),
+ },
+ edges=[
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="strategist"),
+ Edge(source="strategist", target="builder"),
+ Edge(source="builder", target="gate"),
+ Edge(source="gate", target="builder", condition=VerdictType.RELOOP),
+ ],
+ start_node="study",
+ )
+
+
+def _make_record(
+ score: float,
+ steps: list[AgentStep] | None = None,
+ kept: int = 0,
+ reverted: int = 0,
+ errored: int = 0,
+) -> CycleRecord:
+ return CycleRecord(
+ cycle_number=1,
+ mode="test",
+ started_at=None,
+ ended_at=None,
+ duration_s=10.0,
+ score_start=0.0,
+ score_end=score,
+ score_delta=score,
+ steps=steps or [],
+ kept=kept,
+ reverted=reverted,
+ errored=errored,
+ )
+
+
+def _make_step(role: str, succeeded: bool = True) -> AgentStep:
+ return AgentStep(
+ order=0,
+ role=role,
+ started_at="2024-01-01T00:00:00",
+ duration_s=10.0,
+ cost_usd=0.1,
+ output_tokens=100,
+ succeeded=succeeded,
+ )
+
+
+class TestOuterLoopWithGraphExplorationRequired:
+ """Validates the graph fallback fix propagates to outer loop context.
+
+ When the outer loop evaluates workflows in worktrees, the researcher
+ agent within those workflows needs access to graph.json at the project
+ root. This test verifies the evaluator correctly copies .factory/
+ artifacts — including any graph exploration artifacts — into worktrees.
+ """
+
+ def test_evaluator_copies_factory_artifacts_to_worktree(self) -> None:
+ """Verify that evaluate() preserves .factory/outer_loop/modes/ structure
+ when building the evaluation context, which is the same mechanism that
+ would carry graph.json accessibility to sub-CEO runs."""
+ config = _make_config()
+
+ call_log: list[dict[str, object]] = []
+
+ def tracking_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ call_log.append({
+ "project_dir": project_dir,
+ "workflow_name": wf.name,
+ "node_count": len(wf.nodes),
+ })
+ return EvalResult(score=0.0, benchmark_score=0.5, hygiene_score=0.5)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=tracking_eval)
+ wf = _make_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+
+ assert result.score > 0
+ assert len(call_log) == 1
+ assert call_log[0]["node_count"] == 5
+
+ def test_mode_registry_mirrors_to_target_for_sub_ceo(self, tmp_path: Path) -> None:
+ """When target_dir is set, ephemeral modes are mirrored so the sub-CEO
+ can resolve the mode — this is the mechanism through which outer loop
+ context (including graph paths) propagates to evaluation runs."""
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ mode_name = registry.register("graph_test", 0, wf)
+
+ target_mode = target / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ target_wrapper = target / ".factory" / "workflows" / f"{mode_name}.py"
+ assert target_mode.exists()
+ assert target_wrapper.exists()
+
+ loaded = registry.load(mode_name)
+ assert loaded is not None
+ assert "researcher" in loaded.nodes
+
+
+class TestWorktreeCleanupWithLockedFiles:
+ """Verifies behavior when worktree remove fails due to file locks."""
+
+ def test_cleanup_falls_back_to_rmtree_on_git_failure(self, tmp_path: Path) -> None:
+ """When `git worktree remove` fails (e.g. locked files), the cleanup
+ should fall back to shutil.rmtree and git worktree prune."""
+ wt_path = tmp_path / "fake-worktree"
+ wt_path.mkdir()
+ (wt_path / "locked_file.txt").write_text("locked")
+
+ with patch("subprocess.run") as mock_run:
+ mock_run.side_effect = subprocess.TimeoutExpired(cmd="git", timeout=60)
+ SwarmEvaluator._cleanup_worktree(str(tmp_path), wt_path)
+
+ assert not wt_path.exists() or not list(wt_path.iterdir())
+
+ def test_cleanup_handles_already_removed_worktree(self, tmp_path: Path) -> None:
+ """Cleanup should not crash if the worktree path doesn't exist."""
+ wt_path = tmp_path / "nonexistent-worktree"
+
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ SwarmEvaluator._cleanup_worktree(str(tmp_path), wt_path)
+
+
+class TestEvaluatorSkipsDuplicateWorkflows:
+ """Unit test for eval dedup logic — the bug that survived 242 tests."""
+
+ def test_cache_deduplicates_identical_workflows(self) -> None:
+ """Two evaluations of the same workflow+instances should only call
+ the evaluator function once."""
+ config = _make_config()
+ call_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal call_count
+ call_count += 1
+ return EvalResult(score=0.0, benchmark_score=0.8, hygiene_score=0.7)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ wf = _make_workflow()
+
+ r1 = evaluator.evaluate(wf, "/tmp/test", ["t1", "t2"])
+ r2 = evaluator.evaluate(wf, "/tmp/test", ["t1", "t2"])
+
+ assert call_count == 1
+ assert r1.score == r2.score
+
+ def test_different_instances_are_not_deduped(self) -> None:
+ """Same workflow but different instance sets should produce separate
+ evaluations — dedup should NOT collapse them."""
+ config = _make_config()
+ call_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal call_count
+ call_count += 1
+ score = 0.5 + 0.1 * len(instances)
+ return EvalResult(score=0.0, benchmark_score=score, hygiene_score=0.6)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ wf = _make_workflow()
+
+ evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ evaluator.evaluate(wf, "/tmp/test", ["t1", "t2"])
+
+ assert call_count == 2
+
+ def test_structurally_identical_workflows_share_cache(self) -> None:
+ """Two workflow objects with identical structure but different Python
+ identity should hit the same cache entry."""
+ config = _make_config()
+ call_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal call_count
+ call_count += 1
+ return EvalResult(score=0.0, benchmark_score=0.7, hygiene_score=0.6)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ wf1 = _make_workflow("test_wf")
+ wf2 = _make_workflow("test_wf")
+
+ evaluator.evaluate(wf1, "/tmp/test", ["t1"])
+ evaluator.evaluate(wf2, "/tmp/test", ["t1"])
+
+ assert call_count == 1
+
+
+class TestWorktreeCreationFailsGracefullyOnDiskFull:
+ """Verifies helpful error instead of raw git crash when worktree add fails."""
+
+ def test_create_worktree_raises_runtime_error(self) -> None:
+ """When git worktree add fails (disk full, permission denied, etc),
+ _create_worktree should raise a RuntimeError with the stderr message."""
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=["git", "worktree", "add"],
+ returncode=128,
+ stdout="",
+ stderr="fatal: No space left on device",
+ )
+ with pytest.raises(RuntimeError, match="No space left on device"):
+ SwarmEvaluator._create_worktree("/tmp/fake-project", "test-label")
+
+ def test_inner_loop_eval_returns_zero_score_on_worktree_failure(self) -> None:
+ """When worktree creation fails during inner_loop evaluation, the
+ evaluator should return score=0.0 with error details instead of crashing."""
+ config = _make_config()
+
+ def mock_inner_loop_factory(wf: Workflow) -> str:
+ return "test-mode"
+
+ evaluator = SwarmEvaluator(config, inner_loop_factory=mock_inner_loop_factory)
+ wf = _make_workflow()
+
+ with patch.object(
+ SwarmEvaluator, "_create_worktree",
+ side_effect=RuntimeError("fatal: No space left on device"),
+ ):
+ result = evaluator._evaluate_via_inner_loop(wf, "/tmp/fake", ["t1"])
+
+ assert result.score == 0.0
+ assert "error" in result.details
+ assert "No space left on device" in str(result.details["error"])
+
+
+class TestBudgetExhaustedDuringEvaluation:
+ """Verifies partial results are saved when budget runs out mid-generation."""
+
+ def test_partial_results_saved_on_budget_exhaustion(self) -> None:
+ """When budget runs out mid-generation, the engine should save
+ whatever evaluations completed rather than discarding everything."""
+ config = _make_config(budget=5, population_size=3)
+
+ eval_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal eval_count
+ eval_count += 1
+ return EvalResult(
+ score=0.0, benchmark_score=0.5 + eval_count * 0.01,
+ hygiene_score=0.6, cost_usd=0.1,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+
+ assert result.convergence_reason == "budget_exhausted"
+ assert result.total_evaluations > 0
+ assert result.total_evaluations <= config.budget + 2 # +2 for holdout/overfit audit
+ assert result.best_score > 0
+ assert len(result.trajectory) >= 1
+
+ def test_engine_stops_evaluating_when_budget_exhausted(self) -> None:
+ """Verify the engine stops calling the evaluator once budget is consumed."""
+ config = _make_config(budget=3, population_size=2)
+
+ eval_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal eval_count
+ eval_count += 1
+ return EvalResult(
+ score=0.0, benchmark_score=0.6, hygiene_score=0.7, cost_usd=0.1,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+
+ assert result.convergence_reason == "budget_exhausted"
+ assert eval_count <= config.budget + 2 # +2 for holdout evals
+
+
+class TestConvergenceAllCandidatesIdentical:
+ """Verifies engine detects population diversity = 0 and exits gracefully."""
+
+ def test_identical_scores_trigger_early_stop_or_plateau(self) -> None:
+ """When every candidate scores identically, the engine should detect
+ a plateau or early stop condition rather than running forever."""
+ config = _make_config(budget=100, population_size=3)
+
+ def flat_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.0, benchmark_score=0.5, hygiene_score=0.5,
+ cost_usd=0.01, complexity=float(len(wf.nodes)),
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=flat_eval)
+ strategy = WeightedRandomStrategy(mutation_rate=0.3)
+ engine = SwarmEngine(config, evaluator, strategy=strategy)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+
+ assert result.convergence_reason in (
+ "budget_exhausted",
+ "target_score_reached",
+ "plateau",
+ "diversity_collapse",
+ "early_stop_unchanged",
+ "unknown",
+ )
+ assert result.generations_completed >= 1
+
+ def test_diversity_metric_is_low_with_identical_features(self) -> None:
+ """When all individuals have identical features, the archive diversity
+ metric should be exactly 1.0 (all same cell) or very low."""
+ from factory.outer_loop.population import MAPElitesArchive
+ from factory.outer_loop.models import Individual
+
+ archive = MAPElitesArchive()
+ for i in range(5):
+ ind = Individual(
+ id=f"ind_{i}",
+ workflow_data={"name": f"wf_{i}"},
+ score=0.5,
+ features=(3, 0, 2, 1),
+ generation=0,
+ )
+ archive.add(ind)
+
+ # All 5 individuals share one cell → only 1 survives in the archive
+ assert archive.size == 1
+ assert archive.diversity_metric() == 1.0
+
+
+class TestReflectorHandlesEmptyHistory:
+ """Verifies reflector degrades gracefully with no prior generations."""
+
+ def test_empty_records_returns_empty_report(self) -> None:
+ """With zero records, the reflector should return a valid but empty report."""
+ reflector = OuterLoopReflector(k=2)
+ report = reflector.reflect([], generation=0)
+
+ assert report.failure_patterns == []
+ assert report.success_patterns == []
+ assert report.mutation_suggestions == []
+ assert report.top_k_ids == []
+ assert report.bottom_k_ids == []
+
+ def test_single_record_returns_empty_report(self) -> None:
+ """With only one record, contrastive analysis is impossible —
+ the reflector should return gracefully."""
+ reflector = OuterLoopReflector(k=2)
+ records = [("only1", 0.5, _make_record(0.5, [_make_step("builder")], kept=1))]
+ report = reflector.reflect(records, generation=0)
+
+ assert report.failure_patterns == []
+ assert report.success_patterns == []
+
+ def test_all_none_records_returns_empty_report(self) -> None:
+ """When all CycleRecords are None (evaluation failed for everyone),
+ the reflector should still return a valid empty report."""
+ reflector = OuterLoopReflector(k=2)
+ records: list[tuple[str, float, CycleRecord | None]] = [
+ ("a", 0.5, None),
+ ("b", 0.3, None),
+ ("c", 0.7, None),
+ ]
+ report = reflector.reflect(records, generation=0)
+
+ assert report.failure_patterns == []
+ assert report.success_patterns == []
+ assert report.top_k_ids == []
+ assert report.bottom_k_ids == []
+
+
+class TestModeRegistryHandlesHashCollision:
+ """Verifies registry detects 12-char prefix collisions."""
+
+ def test_same_id_prefix_different_generations_no_collision(self, tmp_path: Path) -> None:
+ """Two individuals with the same 8-char ID prefix but different
+ generations should get distinct mode names."""
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ name0 = registry.register("abcdefgh_extra", 0, wf)
+ name1 = registry.register("abcdefgh_extra", 1, wf)
+
+ assert name0 != name1
+ assert name0 == "evolve-gen0-abcdefgh"
+ assert name1 == "evolve-gen1-abcdefgh"
+ assert registry.count == 2
+
+ def test_same_prefix_same_generation_overwrites(self, tmp_path: Path) -> None:
+ """If two individuals have the same 8-char prefix AND same generation,
+ the second registration overwrites the first (same mode name)."""
+ registry = EphemeralModeRegistry(tmp_path)
+ wf1 = _make_workflow("wf1")
+ wf2 = _make_workflow("wf2")
+
+ name1 = registry.register("abcdefgh_111", 0, wf1)
+ name2 = registry.register("abcdefgh_222", 0, wf2)
+
+ assert name1 == name2
+ loaded = registry.load(name2)
+ assert loaded is not None
+ assert loaded.name == name2
+
+ def test_content_hash_detects_tampered_mode_file(self, tmp_path: Path) -> None:
+ """If a mode file is modified after registration, the content hash
+ mismatch should be detected on load (logged as warning, not crash)."""
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("hashtest1", 0, wf)
+
+ mode_path = tmp_path / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ import json
+ data = json.loads(mode_path.read_text())
+ data["name"] = "tampered-name"
+ mode_path.write_text(json.dumps(data, indent=2, sort_keys=True))
+
+ loaded = registry.load(mode_name)
+ assert loaded is not None
+
+ def test_12_char_uuid_prefix_uniqueness(self) -> None:
+ """Verify that Population.make_individual generates 12-char hex IDs
+ which the mode registry truncates to 8 chars."""
+ wf = _make_workflow()
+ ids = set()
+ for _ in range(20):
+ ind = Population.make_individual(wf, generation=0)
+ assert len(ind.id) == 12
+ ids.add(ind.id)
+ assert len(ids) == 20
diff --git a/tests/test_outer_loop/test_cycle_summary.py b/tests/test_outer_loop/test_cycle_summary.py
new file mode 100644
index 000000000..1773b6924
--- /dev/null
+++ b/tests/test_outer_loop/test_cycle_summary.py
@@ -0,0 +1,220 @@
+"""Tests for cycle_summary.json writing (InnerLoop) and reading (SwarmEvaluator)."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+import pytest
+
+from factory.inner_loop import InnerLoop
+from factory.outer_loop.evaluator import SwarmEvaluator
+
+
+@pytest.fixture()
+def factory_dir(tmp_path: Path) -> Path:
+ d = tmp_path / ".factory"
+ d.mkdir()
+ return d
+
+
+@pytest.fixture()
+def loop(tmp_path: Path, factory_dir: Path) -> InnerLoop:
+ return InnerLoop(project_dir=tmp_path, mode="evolve-test")
+
+
+def _write_events(factory_dir: Path, events: list[dict]) -> None:
+ lines = [json.dumps(e) for e in events]
+ (factory_dir / "events.jsonl").write_text("\n".join(lines) + "\n")
+
+
+class TestWriteCycleSummary:
+ def test_creates_summary_file(self, loop: InnerLoop, factory_dir: Path) -> None:
+ path = loop._write_cycle_summary(
+ returncode=0, event_offset=0, duration_ms=5000,
+ builder_committed=True, experiments=1,
+ )
+ assert path.exists()
+ assert path.name == "cycle_summary.json"
+ assert "evolve-test" in str(path)
+
+ def test_summary_structure(self, loop: InnerLoop, factory_dir: Path) -> None:
+ loop._write_cycle_summary(
+ returncode=0, event_offset=0, duration_ms=12345,
+ builder_committed=False, experiments=2,
+ )
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ data = json.loads(summary_path.read_text())
+ assert data["mode"] == "evolve-test"
+ assert data["duration_ms"] == 12345
+ assert data["experiments"] == 2
+ assert isinstance(data["score"], float)
+ assert isinstance(data["errors"], list)
+
+ def test_perfect_score(self, loop: InnerLoop, factory_dir: Path) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "timestamp": "2026-01-01T00:00:00", "agent": "builder"},
+ {"type": "agent.completed", "timestamp": "2026-01-01T00:01:00", "agent": "builder",
+ "data": {"total_cost_usd": 1.5}},
+ ])
+ loop._write_cycle_summary(
+ returncode=0, event_offset=0, duration_ms=60000,
+ builder_committed=True, experiments=1,
+ )
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ data = json.loads(summary_path.read_text())
+ assert data["score"] == 1.0
+ assert data["agents_spawned"] == 1
+ assert data["agents_succeeded"] == 1
+ assert data["agents_failed"] == 0
+ assert data["builder_committed"] is True
+ assert data["tests_passed"] is True
+ assert data["cost_usd"] == 1.5
+
+ def test_no_agents_score_zero(self, loop: InnerLoop, factory_dir: Path) -> None:
+ loop._write_cycle_summary(
+ returncode=1, event_offset=0, duration_ms=100,
+ builder_committed=False, experiments=0,
+ )
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ data = json.loads(summary_path.read_text())
+ assert data["score"] == 0.0
+ assert data["errors"] == ["subprocess exited with code 1"]
+
+ def test_partial_score_with_failures(
+ self, loop: InnerLoop, factory_dir: Path,
+ ) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "timestamp": "2026-01-01T00:00:00", "agent": "researcher"},
+ {"type": "agent.completed", "timestamp": "2026-01-01T00:01:00", "agent": "researcher",
+ "data": {"total_cost_usd": 0.5}},
+ {"type": "agent.started", "timestamp": "2026-01-01T00:01:00", "agent": "builder"},
+ {"type": "agent.failed", "timestamp": "2026-01-01T00:02:00", "agent": "builder",
+ "data": {"error": "timeout"}},
+ ])
+ loop._write_cycle_summary(
+ returncode=1, event_offset=0, duration_ms=120000,
+ builder_committed=False, experiments=0,
+ )
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ data = json.loads(summary_path.read_text())
+ # agents spawned (+0.2), but failures and bad returncode
+ assert data["score"] == 0.2
+ assert data["agents_spawned"] == 2
+ assert data["agents_succeeded"] == 1
+ assert data["agents_failed"] == 1
+
+ def test_event_offset_skips_earlier_events(
+ self, loop: InnerLoop, factory_dir: Path,
+ ) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "timestamp": "2026-01-01T00:00:00", "agent": "old"},
+ {"type": "agent.completed", "timestamp": "2026-01-01T00:01:00", "agent": "old",
+ "data": {"total_cost_usd": 10.0}},
+ {"type": "agent.started", "timestamp": "2026-01-01T00:02:00", "agent": "new"},
+ {"type": "agent.completed", "timestamp": "2026-01-01T00:03:00", "agent": "new",
+ "data": {"total_cost_usd": 2.0}},
+ ])
+ loop._write_cycle_summary(
+ returncode=0, event_offset=2, duration_ms=60000,
+ builder_committed=True, experiments=0,
+ )
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ data = json.loads(summary_path.read_text())
+ assert data["agents_spawned"] == 1
+ assert data["cost_usd"] == 2.0
+
+
+class TestHeuristicScoreWeights:
+ """Verify each heuristic signal contributes exactly 0.2, no double-counting."""
+
+ def _score(self, loop: InnerLoop, factory_dir: Path, **kwargs: object) -> float:
+ defaults: dict[str, object] = {
+ "returncode": 1, "event_offset": 0, "duration_ms": 100,
+ "builder_committed": False, "experiments": 0,
+ }
+ defaults.update(kwargs)
+ loop._write_cycle_summary(**defaults) # type: ignore[arg-type]
+ summary_path = (
+ factory_dir / "outer_loop" / "runs" / "evolve-test" / "cycle_summary.json"
+ )
+ return json.loads(summary_path.read_text())["heuristic_score"]
+
+ def test_signal_agents_spawned(self, loop: InnerLoop, factory_dir: Path) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "agent": "x"},
+ {"type": "agent.failed", "agent": "x", "data": {}},
+ ])
+ assert self._score(loop, factory_dir) == 0.2
+
+ def test_signal_builder_committed(self, loop: InnerLoop, factory_dir: Path) -> None:
+ assert self._score(loop, factory_dir, builder_committed=True) == 0.2
+
+ def test_signal_returncode_zero(self, loop: InnerLoop, factory_dir: Path) -> None:
+ assert self._score(loop, factory_dir, returncode=0) == 0.2
+
+ def test_signal_no_failures(self, loop: InnerLoop, factory_dir: Path) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "agent": "x"},
+ {"type": "agent.completed", "agent": "x", "data": {"total_cost_usd": 0}},
+ ])
+ assert self._score(loop, factory_dir) == 0.4 # agents_spawned + no_failures
+
+ def test_signal_experiments_recorded(self, loop: InnerLoop, factory_dir: Path) -> None:
+ assert self._score(loop, factory_dir, experiments=1) == 0.2
+
+ def test_all_signals_sum_to_one(self, loop: InnerLoop, factory_dir: Path) -> None:
+ _write_events(factory_dir, [
+ {"type": "agent.started", "agent": "b"},
+ {"type": "agent.completed", "agent": "b", "data": {"total_cost_usd": 0}},
+ ])
+ score = self._score(
+ loop, factory_dir, returncode=0, builder_committed=True, experiments=1,
+ )
+ assert score == 1.0
+
+ def test_no_double_counting_returncode(self, loop: InnerLoop, factory_dir: Path) -> None:
+ score = self._score(loop, factory_dir, returncode=0, experiments=0)
+ assert score == 0.2 # returncode contributes exactly once
+
+
+class TestReadCycleSummary:
+ def test_reads_existing_summary(self, tmp_path: Path) -> None:
+ summary_dir = tmp_path / ".factory" / "outer_loop" / "runs" / "evolve-x"
+ summary_dir.mkdir(parents=True)
+ (summary_dir / "cycle_summary.json").write_text(
+ json.dumps({"score": 0.8, "scoring_method": "pytest_pass_rate"})
+ )
+ result = SwarmEvaluator._read_cycle_summary(tmp_path, "evolve-x")
+ assert result is not None
+ assert result["score"] == 0.8
+ assert result["scoring_method"] == "pytest_pass_rate"
+
+ def test_returns_none_for_missing_file(self, tmp_path: Path) -> None:
+ result = SwarmEvaluator._read_cycle_summary(tmp_path, "missing")
+ assert result is None
+
+ def test_returns_none_for_invalid_json(self, tmp_path: Path) -> None:
+ summary_dir = tmp_path / ".factory" / "outer_loop" / "runs" / "bad"
+ summary_dir.mkdir(parents=True)
+ (summary_dir / "cycle_summary.json").write_text("not json")
+ result = SwarmEvaluator._read_cycle_summary(tmp_path, "bad")
+ assert result is None
+
+ def test_returns_dict_for_missing_score_key(self, tmp_path: Path) -> None:
+ summary_dir = tmp_path / ".factory" / "outer_loop" / "runs" / "no-score"
+ summary_dir.mkdir(parents=True)
+ (summary_dir / "cycle_summary.json").write_text(json.dumps({"mode": "x"}))
+ result = SwarmEvaluator._read_cycle_summary(tmp_path, "no-score")
+ assert result is not None
+ assert result.get("score", 0.0) == 0.0
diff --git a/tests/test_outer_loop/test_designer.py b/tests/test_outer_loop/test_designer.py
new file mode 100644
index 000000000..ef0e8a97a
--- /dev/null
+++ b/tests/test_outer_loop/test_designer.py
@@ -0,0 +1,223 @@
+"""Tests for DesignerAgent — design mode and mutation mode."""
+
+from __future__ import annotations
+
+from factory.outer_loop.designer import DesignerAgent
+from factory.outer_loop.models import MutationType
+
+
+class TestDesignMinimal:
+ def test_produces_3_to_4_nodes(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_minimal("test benchmark")
+ assert 3 <= len(wf.nodes) <= 4
+
+ def test_valid_workflow(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_minimal("test benchmark")
+ issues = wf.validate_graph()
+ assert issues == [], f"Validation issues: {issues}"
+
+ def test_has_builder(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_minimal("test benchmark")
+ roles = {
+ node.role.value
+ for node in wf.nodes.values()
+ if hasattr(node, "role")
+ }
+ assert "builder" in roles
+
+ def test_has_gate(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_minimal("test benchmark")
+ gate_nodes = [
+ n for n in wf.nodes.values()
+ if type(n).__name__ == "GateNode"
+ ]
+ assert len(gate_nodes) >= 1
+
+ def test_name_includes_benchmark(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_minimal("feature_bench")
+ assert "minimal" in wf.name
+ assert "feature_bench" in wf.name
+
+ def test_serialization_roundtrip(self) -> None:
+ from factory.workflow.primitives import Workflow
+
+ designer = DesignerAgent()
+ wf = designer.design_minimal("test benchmark")
+ data = wf.to_dict()
+ restored = Workflow.from_dict(data)
+ assert len(restored.nodes) == len(wf.nodes)
+ assert restored.start_node == wf.start_node
+
+
+class TestDesignThorough:
+ def test_produces_8_to_10_nodes(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ assert 8 <= len(wf.nodes) <= 10
+
+ def test_valid_workflow(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ issues = wf.validate_graph()
+ assert issues == [], f"Validation issues: {issues}"
+
+ def test_has_parallel_builders(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ fork_nodes = [
+ n for n in wf.nodes.values()
+ if type(n).__name__ == "ForkNode"
+ ]
+ assert len(fork_nodes) >= 1
+
+ def test_has_code_reviewer(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ roles = {
+ node.role.value
+ for node in wf.nodes.values()
+ if hasattr(node, "role")
+ }
+ assert "code_reviewer" in roles
+
+ def test_has_adversarial_tester(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ roles = {
+ node.role.value
+ for node in wf.nodes.values()
+ if hasattr(node, "role")
+ }
+ assert "adversarial_tester" in roles
+
+ def test_has_study_node(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ assert "study" in wf.nodes
+
+ def test_serialization_roundtrip(self) -> None:
+ from factory.workflow.primitives import Workflow
+
+ designer = DesignerAgent()
+ wf = designer.design_thorough("test benchmark")
+ data = wf.to_dict()
+ restored = Workflow.from_dict(data)
+ assert len(restored.nodes) == len(wf.nodes)
+ assert restored.start_node == wf.start_node
+
+
+class TestDesignCustom:
+ def test_respects_max_nodes(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_custom("bench", {"max_nodes": 5})
+ assert len(wf.nodes) <= 5
+
+ def test_valid_workflow(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_custom("bench", {"max_nodes": 6})
+ issues = wf.validate_graph()
+ assert issues == [], f"Validation issues: {issues}"
+
+ def test_includes_required_roles(self) -> None:
+ designer = DesignerAgent()
+ wf = designer.design_custom(
+ "bench", {"max_nodes": 8, "require_roles": ["health_checker"]}
+ )
+ roles = {
+ node.role.value
+ for node in wf.nodes.values()
+ if hasattr(node, "role")
+ }
+ assert "health_checker" in roles
+
+
+class TestPropose:
+ def test_returns_mutation_records(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={"node_stats": {}, "dominant_failure": ""},
+ archive_stats={"diversity": 0.5},
+ benchmark_spec="test",
+ )
+ assert len(proposals) >= 1
+ assert len(proposals) <= 3
+
+ def test_high_failure_rate_proposes_removal(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={
+ "node_stats": {"researcher": {"failure_rate": 0.8}},
+ "dominant_failure": "",
+ },
+ archive_stats={"diversity": 0.5},
+ benchmark_spec="test",
+ )
+ remove_proposals = [
+ p for p in proposals if p.operator == MutationType.NODE_REMOVE
+ ]
+ assert len(remove_proposals) >= 1
+ assert remove_proposals[0].target_node == "researcher"
+
+ def test_timeout_failure_proposes_param_mutate(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={
+ "node_stats": {},
+ "dominant_failure": "timeout",
+ },
+ archive_stats={"diversity": 0.5},
+ benchmark_spec="test",
+ )
+ timeout_proposals = [
+ p for p in proposals if p.operator == MutationType.PARAM_MUTATE
+ ]
+ assert len(timeout_proposals) >= 1
+
+ def test_low_diversity_proposes_insertion(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={"node_stats": {}, "dominant_failure": ""},
+ archive_stats={"diversity": 0.1},
+ benchmark_spec="test",
+ )
+ insert_proposals = [
+ p for p in proposals if p.operator == MutationType.NODE_INSERT
+ ]
+ assert len(insert_proposals) >= 1
+
+ def test_no_signal_still_returns_proposal(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={},
+ archive_stats={},
+ benchmark_spec="test",
+ )
+ assert len(proposals) >= 1
+
+ def test_max_3_proposals(self, simple_workflow) -> None: # type: ignore[no-untyped-def]
+ designer = DesignerAgent()
+ proposals = designer.propose(
+ simple_workflow,
+ telemetry={
+ "node_stats": {
+ "researcher": {"failure_rate": 0.9},
+ "strategist": {"failure_rate": 0.9},
+ "builder": {"failure_rate": 0.9},
+ "gate_qa": {"failure_rate": 0.9},
+ },
+ "dominant_failure": "timeout",
+ },
+ archive_stats={"diversity": 0.1},
+ benchmark_spec="test",
+ )
+ assert len(proposals) <= 3
diff --git a/tests/test_outer_loop/test_e2e.py b/tests/test_outer_loop/test_e2e.py
new file mode 100644
index 000000000..4f3fae1ed
--- /dev/null
+++ b/tests/test_outer_loop/test_e2e.py
@@ -0,0 +1,439 @@
+"""End-to-end integration test for the outer loop evolutionary search.
+
+Creates a simple seed workflow, uses a mock evaluator that rewards more agent
+nodes (so evolution discovers this), runs 3 generations with population=4,
+and verifies the evolutionary loop actually improves over the seed.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.outer_loop.engine import SwarmEngine
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.filesystem import (
+ export_best_workflow,
+ init_filesystem,
+ load_checkpoint,
+ save_best,
+ save_checkpoint,
+ save_generation,
+ save_map_elites,
+)
+from factory.outer_loop.models import (
+ EvalResult,
+ OuterLoopState,
+ SwarmConfig,
+)
+from factory.outer_loop.mutations import WeightedRandomStrategy
+from factory.outer_loop.population import Population
+from factory.outer_loop.similarity import NoveltyFilter
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+
+def _seed_workflow() -> Workflow:
+ """A simple 3-node seed workflow."""
+ return Workflow(
+ name="seed",
+ nodes={
+ "study": FnNode(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/obs.md"},
+ ),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ reads={".factory/obs.md"},
+ writes={".factory/build.md"},
+ ),
+ "gate": GateNode(
+ id="gate",
+ evaluator_type="fn",
+ reads={".factory/build.md"},
+ ),
+ },
+ edges=[
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate"),
+ Edge(source="gate", target="builder", condition=VerdictType.RELOOP),
+ ],
+ start_node="study",
+ )
+
+
+def _make_feature_evaluator() -> SwarmEvaluator:
+ """Evaluator that rewards more agent nodes — evolution should discover this."""
+ def eval_fn(
+ wf: Workflow, project_dir: str, instances: list[str],
+ ) -> EvalResult:
+ agent_count = sum(
+ 1 for n in wf.nodes.values() if isinstance(n, AgentNode)
+ )
+ node_count = len(wf.nodes)
+ score = min(0.3 + agent_count * 0.1 + node_count * 0.02, 0.95)
+ return EvalResult(
+ score=0.0,
+ benchmark_score=score,
+ hygiene_score=0.6,
+ cost_usd=0.01,
+ complexity=float(node_count),
+ )
+
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=60,
+ population_size=4,
+ tournament_size=2,
+ mutation_rate=0.5,
+ training_instances=["t1", "t2", "t3"],
+ holdout_instances=["h1"],
+ )
+ return SwarmEvaluator(config, evaluator_fn=eval_fn)
+
+
+def _make_holdout_evaluator(training_score: float = 0.8) -> SwarmEvaluator:
+ """Evaluator with distinct training vs holdout behavior for overfit testing."""
+ def eval_fn(
+ wf: Workflow, project_dir: str, instances: list[str],
+ ) -> EvalResult:
+ if any(i.startswith("h") for i in instances):
+ score = training_score * 0.7
+ else:
+ score = training_score
+ return EvalResult(
+ score=0.0,
+ benchmark_score=score,
+ hygiene_score=0.6,
+ cost_usd=0.01,
+ complexity=float(len(wf.nodes)),
+ )
+
+ config = SwarmConfig(
+ benchmark="test-overfit",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ return SwarmEvaluator(config, evaluator_fn=eval_fn)
+
+
+class TestE2EEvolution:
+ def test_evolution_improves_over_seed(self) -> None:
+ """The best evolved workflow should score higher than the seed."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=60,
+ population_size=4,
+ tournament_size=2,
+ mutation_rate=0.5,
+ training_instances=["t1", "t2", "t3"],
+ holdout_instances=["h1"],
+ )
+
+ seed_score = evaluator.evaluate(seed_wf, "", ["t1", "t2", "t3"]).score
+
+ strategy = WeightedRandomStrategy(mutation_rate=0.5)
+ novelty = NoveltyFilter(min_edit_distance=1)
+ engine = SwarmEngine(
+ config, evaluator,
+ strategy=strategy,
+ novelty_filter=novelty,
+ )
+
+ result = engine.run(seed_wf)
+
+ assert result.best_score > seed_score, (
+ f"Best evolved score {result.best_score} should exceed "
+ f"seed score {seed_score}"
+ )
+
+ def test_archive_populated(self) -> None:
+ """MAP-Elites archive should have entries after evolution."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert result.archive_size > 0
+
+ def test_trajectory_recorded(self) -> None:
+ """Generation trajectory should be recorded."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert len(result.trajectory) >= 1
+ assert result.generations_completed >= 1
+
+ def test_hyperparameter_history_complete(self) -> None:
+ """Every generation should have a HyperparameterRecord."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert len(result.hyperparameter_history) == result.generations_completed
+ for hp in result.hyperparameter_history:
+ assert hp.mutation_rate > 0
+ assert hp.population_size > 0
+
+ def test_best_workflow_is_valid(self) -> None:
+ """The best workflow should be a valid Workflow."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert result.best_workflow_data != {}
+ reconstructed = Workflow.from_dict(result.best_workflow_data) # type: ignore[arg-type]
+ assert len(reconstructed.nodes) > 0
+ assert len(reconstructed.edges) > 0
+
+ def test_pareto_front_non_empty(self) -> None:
+ """Pareto front should contain at least one individual."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_feature_evaluator()
+ config = SwarmConfig(
+ benchmark="test-e2e",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert len(result.pareto_front) > 0
+
+
+class TestE2EOverfitDetection:
+ def test_overfit_flagged(self) -> None:
+ """When holdout score drops >15%, overfit should be flagged."""
+ seed_wf = _seed_workflow()
+ evaluator = _make_holdout_evaluator(training_score=0.8)
+ config = SwarmConfig(
+ benchmark="test-overfit",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ engine = SwarmEngine(config, evaluator)
+ result = engine.run(seed_wf)
+
+ assert result.overfit_flag is True
+ assert result.holdout_score > 0
+
+
+class TestE2EFilesystem:
+ def test_init_and_checkpoint(self, tmp_path: Path) -> None:
+ """Filesystem init creates directories and checkpoint round-trips."""
+ config = SwarmConfig(
+ benchmark="test-fs",
+ budget=10,
+ training_instances=["t1"],
+ holdout_instances=["h1"],
+ )
+ root = init_filesystem(tmp_path, config)
+
+ assert (root / "config.json").exists()
+ assert (root / "state.json").exists()
+ assert (root / "fitness_cache.json").exists()
+ assert (root / "trajectory.jsonl").exists()
+ assert (root / "archive").is_dir()
+ assert (root / "map-elites").is_dir()
+ assert (root / "best").is_dir()
+
+ loaded_state = load_checkpoint(tmp_path)
+ assert loaded_state is not None
+ assert loaded_state.budget_remaining == 10
+
+ def test_save_and_load_checkpoint(self, tmp_path: Path) -> None:
+ """Checkpoint save/load round-trip preserves state."""
+ config = SwarmConfig(
+ benchmark="test-ckpt",
+ budget=50,
+ training_instances=["t1"],
+ holdout_instances=["h1"],
+ )
+ init_filesystem(tmp_path, config)
+
+ state = OuterLoopState(
+ generation=3,
+ total_evaluations=25,
+ best_score=0.72,
+ budget_remaining=25,
+ score_trajectory=[0.5, 0.6, 0.65, 0.72],
+ )
+ save_checkpoint(tmp_path, state)
+
+ loaded = load_checkpoint(tmp_path)
+ assert loaded is not None
+ assert loaded.generation == 3
+ assert loaded.total_evaluations == 25
+ assert loaded.best_score == 0.72
+ assert loaded.budget_remaining == 25
+ assert len(loaded.score_trajectory) == 4
+
+ def test_export_best_workflow(self, tmp_path: Path) -> None:
+ """Export produces a portable Python file."""
+ seed_wf = _seed_workflow()
+ wf_data = seed_wf.to_dict()
+
+ path = export_best_workflow(tmp_path, wf_data, "test-bench")
+
+ assert path.exists()
+ content = path.read_text()
+ assert "meta" in content
+ assert "test-bench-evolved" in content
+ assert "def workflow()" in content
+
+ def test_save_generation_creates_artifacts(self, tmp_path: Path) -> None:
+ """save_generation creates generation directory with artifacts."""
+ from factory.outer_loop.models import GenerationSummary, HyperparameterRecord
+ from factory.outer_loop.population import Population
+
+ config = SwarmConfig(
+ benchmark="test-gen",
+ budget=10,
+ training_instances=["t1"],
+ holdout_instances=["h1"],
+ )
+ init_filesystem(tmp_path, config)
+
+ seed_wf = _seed_workflow()
+ pop = Population()
+ ind = Population.make_individual(seed_wf, generation=0)
+ ind = ind.model_copy(update={"score": 0.5})
+ pop.add(ind)
+
+ hp = HyperparameterRecord(
+ generation=0,
+ mutation_rate=0.3,
+ population_size=1,
+ tournament_size=2,
+ designer_ratio=0.3,
+ best_score=0.5,
+ mean_score=0.5,
+ )
+ summary = GenerationSummary(
+ generation=0,
+ population_size=1,
+ best_score=0.5,
+ mean_score=0.5,
+ diversity=0.0,
+ hyperparameters=hp,
+ )
+ save_generation(tmp_path, 0, summary, pop)
+
+ gen_dir = tmp_path / ".factory" / "outer_loop" / "archive" / "generation-000"
+ assert gen_dir.exists()
+ assert (gen_dir / "summary.json").exists()
+ assert (gen_dir / "hyperparameters.json").exists()
+ assert (gen_dir / "variant-00" / "workflow.json").exists()
+ assert (gen_dir / "variant-00" / "scores.json").exists()
+
+ traj = tmp_path / ".factory" / "outer_loop" / "trajectory.jsonl"
+ lines = traj.read_text().strip().splitlines()
+ assert len(lines) == 1
+ entry = json.loads(lines[0])
+ assert entry["generation"] == 0
+ assert entry["best_score"] == 0.5
+
+
+class TestE2EFullPipeline:
+ def test_full_pipeline_with_filesystem(self, tmp_path: Path) -> None:
+ """Full pipeline: init → evolve → save → export."""
+ seed_wf = _seed_workflow()
+ config = SwarmConfig(
+ benchmark="test-full",
+ budget=30,
+ population_size=4,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+ evaluator = _make_feature_evaluator()
+
+ init_filesystem(tmp_path, config)
+
+ engine = SwarmEngine(
+ config, evaluator,
+ novelty_filter=NoveltyFilter(min_edit_distance=1),
+ )
+ result = engine.run(seed_wf)
+
+ state = OuterLoopState(
+ generation=result.generations_completed,
+ total_evaluations=result.total_evaluations,
+ best_score=result.best_score,
+ budget_remaining=config.budget - result.total_evaluations,
+ convergence_reason=result.convergence_reason,
+ score_trajectory=[s.best_score for s in result.trajectory],
+ hyperparameter_history=result.hyperparameter_history,
+ )
+ save_checkpoint(tmp_path, state)
+ save_best(tmp_path, result)
+ save_map_elites(tmp_path, engine.archive)
+
+ for i, summary in enumerate(result.trajectory):
+ pop = Population()
+ ind = Population.make_individual(seed_wf, generation=i)
+ ind = ind.model_copy(update={"score": summary.best_score})
+ pop.add(ind)
+ save_generation(tmp_path, i, summary, pop)
+
+ export_path = export_best_workflow(
+ tmp_path, result.best_workflow_data, "test-full",
+ )
+
+ assert export_path.exists()
+ assert (tmp_path / ".factory" / "outer_loop" / "state.json").exists()
+ assert (tmp_path / ".factory" / "outer_loop" / "best" / "workflow.json").exists()
+ assert (tmp_path / ".factory" / "outer_loop" / "map-elites" / "grid.json").exists()
+
+ loaded = load_checkpoint(tmp_path)
+ assert loaded is not None
+ assert loaded.generation == result.generations_completed
+ assert loaded.best_score == result.best_score
diff --git a/tests/test_outer_loop/test_engine.py b/tests/test_outer_loop/test_engine.py
new file mode 100644
index 000000000..6387cafd4
--- /dev/null
+++ b/tests/test_outer_loop/test_engine.py
@@ -0,0 +1,424 @@
+"""Tests for SwarmEngine and BudgetTracker."""
+
+from __future__ import annotations
+
+import pytest
+
+from factory.outer_loop.engine import BudgetTracker, SwarmEngine
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.outer_loop.mutations import WeightedRandomStrategy
+from factory.outer_loop.similarity import NoveltyFilter
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+
+def _make_config(**overrides: object) -> SwarmConfig:
+ defaults: dict[str, object] = {
+ "benchmark": "test",
+ "budget": 30,
+ "population_size": 4,
+ "tournament_size": 2,
+ "mutation_rate": 0.3,
+ "training_instances": ["t1", "t2"],
+ "holdout_instances": ["h1"],
+ }
+ defaults.update(overrides)
+ return SwarmConfig(**defaults) # type: ignore[arg-type]
+
+
+def _make_workflow() -> Workflow:
+ return Workflow(
+ name="test_evo",
+ nodes={
+ "study": FnNode(
+ id="study", command="factory study", writes={".factory/obs.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ reads={".factory/obs.md"}, writes={".factory/research.md"},
+ ),
+ "strategist": AgentNode(
+ id="strategist", role=AgentRole.STRATEGIST,
+ reads={".factory/research.md"}, writes={".factory/current.md"},
+ ),
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ reads={".factory/current.md"}, writes={".factory/build.md"},
+ ),
+ "gate": GateNode(
+ id="gate", evaluator_type="fn",
+ reads={".factory/build.md"},
+ ),
+ },
+ edges=[
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="strategist"),
+ Edge(source="strategist", target="builder"),
+ Edge(source="builder", target="gate"),
+ Edge(source="gate", target="builder", condition=VerdictType.RELOOP),
+ ],
+ start_node="study",
+ )
+
+
+def _make_deterministic_evaluator(
+ base_score: float = 0.5, increment: float = 0.02,
+) -> SwarmEvaluator:
+ """Returns an evaluator that gives incrementally higher scores to different workflows."""
+ counter: dict[str, int] = {"n": 0}
+
+ def eval_fn(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ counter["n"] += 1
+ score = min(base_score + counter["n"] * increment, 1.0)
+ return EvalResult(
+ score=0.0, benchmark_score=score, hygiene_score=0.7,
+ cost_usd=0.1, complexity=len(wf.nodes),
+ )
+
+ config = _make_config()
+ return SwarmEvaluator(config, evaluator_fn=eval_fn)
+
+
+class TestBudgetTracker:
+ def test_initial_state(self) -> None:
+ bt = BudgetTracker(100)
+ assert bt.remaining == 100
+ assert bt.consumed == 0
+ assert not bt.exhausted
+ assert bt.total_cost_usd == 0.0
+
+ def test_consume(self) -> None:
+ bt = BudgetTracker(10)
+ bt.consume(3, cost_usd=1.5)
+ assert bt.consumed == 3
+ assert bt.remaining == 7
+ assert bt.total_cost_usd == 1.5
+
+ def test_exhausted(self) -> None:
+ bt = BudgetTracker(5)
+ bt.consume(5)
+ assert bt.exhausted
+ assert bt.remaining == 0
+
+ def test_over_consume(self) -> None:
+ bt = BudgetTracker(3)
+ bt.consume(5)
+ assert bt.exhausted
+ assert bt.remaining == 0
+
+ def test_elapsed(self) -> None:
+ bt = BudgetTracker(10)
+ assert bt.elapsed_seconds >= 0
+
+
+class TestSwarmEngineSeed:
+ def test_seed_creates_population(self) -> None:
+ config = _make_config(population_size=4)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ pop = engine.seed(wf)
+ assert pop.size >= 1
+ assert pop.size <= 4
+
+ def test_seed_slot_zero_is_original(self) -> None:
+ config = _make_config(population_size=3, designer_count=0)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ pop = engine.seed(wf)
+ individuals = pop.individuals
+ original = [i for i in individuals if i.parent_id is None]
+ assert len(original) == 1
+
+ def test_seed_diversity(self) -> None:
+ config = _make_config(population_size=4)
+ evaluator = _make_deterministic_evaluator()
+ novelty = NoveltyFilter(min_edit_distance=1)
+ engine = SwarmEngine(config, evaluator, novelty_filter=novelty)
+ wf = _make_workflow()
+
+ pop = engine.seed(wf)
+ ids = {i.id for i in pop.individuals}
+ assert len(ids) == pop.size
+
+ def test_seed_uses_registry_workflow_when_seed_workflow_set(self) -> None:
+ """When config.seed_workflow names a registered workflow, seed() uses it."""
+ from unittest.mock import patch
+
+ registry_wf = Workflow(
+ name="registry-seed",
+ nodes={
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ terminal=True,
+ )
+
+ config = _make_config(population_size=2, designer_count=0, seed_workflow="improve")
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+
+ with patch(
+ "factory.outer_loop.engine.WorkflowRegistry.get_workflow",
+ return_value=registry_wf,
+ ) as mock_get:
+ fallback_wf = _make_workflow()
+ pop = engine.seed(fallback_wf, config)
+ mock_get.assert_called_once_with("improve")
+
+ seed_ind = [i for i in pop.individuals if i.parent_id is None][0]
+ seed_data = Workflow.from_dict(seed_ind.workflow_data) # type: ignore[arg-type]
+ assert seed_data.name == "registry-seed"
+
+ def test_seed_falls_back_when_seed_workflow_not_found(self) -> None:
+ """When seed_workflow is set but not found in registry, falls back to base_workflow."""
+ from unittest.mock import patch
+
+ config = _make_config(population_size=2, designer_count=0, seed_workflow="nonexistent")
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+
+ with patch(
+ "factory.outer_loop.engine.WorkflowRegistry.get_workflow",
+ return_value=None,
+ ):
+ fallback_wf = _make_workflow()
+ pop = engine.seed(fallback_wf, config)
+
+ seed_ind = [i for i in pop.individuals if i.parent_id is None][0]
+ seed_data = Workflow.from_dict(seed_ind.workflow_data) # type: ignore[arg-type]
+ assert seed_data.name == "test_evo"
+
+ def test_seed_ignores_empty_seed_workflow(self) -> None:
+ """When seed_workflow is empty, uses the passed-in base_workflow."""
+ from unittest.mock import patch
+
+ config = _make_config(population_size=2, designer_count=0, seed_workflow="")
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+
+ with patch(
+ "factory.outer_loop.engine.WorkflowRegistry.get_workflow",
+ ) as mock_get:
+ fallback_wf = _make_workflow()
+ pop = engine.seed(fallback_wf, config)
+ mock_get.assert_not_called()
+
+ seed_ind = [i for i in pop.individuals if i.parent_id is None][0]
+ seed_data = Workflow.from_dict(seed_ind.workflow_data) # type: ignore[arg-type]
+ assert seed_data.name == "test_evo"
+
+
+class TestSwarmEngineEvolve:
+ def test_evolve_generation_returns_summary(self) -> None:
+ config = _make_config(budget=50, population_size=3)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+ pop = engine.seed(wf)
+
+ summary = engine.evolve_generation(pop, generation=1)
+
+ assert summary.generation == 1
+ assert summary.population_size > 0
+ assert summary.best_score >= 0
+ assert summary.hyperparameters is not None
+ assert summary.hyperparameters.generation == 1
+
+ def test_evolve_updates_archive(self) -> None:
+ config = _make_config(budget=50, population_size=3)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+ pop = engine.seed(wf)
+
+ engine.evolve_generation(pop, generation=1)
+ assert engine.archive.size > 0
+
+ def test_hyperparameter_record_logged(self) -> None:
+ config = _make_config(budget=50, population_size=3)
+ evaluator = _make_deterministic_evaluator()
+ strategy = WeightedRandomStrategy(mutation_rate=0.4, designer_ratio=0.2)
+ engine = SwarmEngine(config, evaluator, strategy=strategy)
+ wf = _make_workflow()
+ pop = engine.seed(wf)
+
+ summary = engine.evolve_generation(pop, generation=0)
+
+ assert summary.hyperparameters is not None
+ hp = summary.hyperparameters
+ assert hp.mutation_rate == 0.4
+ assert hp.designer_ratio == 0.2
+ assert hp.population_size > 0
+
+
+class TestSwarmEngineRun:
+ def test_run_terminates_on_budget(self) -> None:
+ config = _make_config(budget=30, population_size=2)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+
+ assert result.convergence_reason in (
+ "budget_exhausted",
+ "target_score_reached",
+ "plateau",
+ "diversity_collapse",
+ "early_stop_unchanged",
+ "unknown",
+ )
+ assert result.total_evaluations > 0
+ assert result.generations_completed >= 1
+ assert len(result.trajectory) > 0
+
+ def test_run_terminates_on_target_score(self) -> None:
+ config = _make_config(budget=100, population_size=2, target_score=0.6)
+
+ def high_score_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.0, benchmark_score=0.9, hygiene_score=0.9,
+ cost_usd=0.01, complexity=3.0,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=high_score_eval)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ assert result.convergence_reason == "target_score_reached"
+ assert result.best_score >= 0.6
+
+ def test_run_holdout_audit(self) -> None:
+ config = _make_config(budget=15, population_size=2)
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ if "h1" in instances:
+ return EvalResult(score=0.0, benchmark_score=0.6, hygiene_score=0.6)
+ return EvalResult(score=0.0, benchmark_score=0.7, hygiene_score=0.7)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ assert result.holdout_score > 0
+ assert isinstance(result.overfit_flag, bool)
+
+ def test_run_hyperparameter_history(self) -> None:
+ config = _make_config(budget=15, population_size=2)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ assert len(result.hyperparameter_history) == result.generations_completed
+
+ def test_run_pareto_front(self) -> None:
+ config = _make_config(budget=15, population_size=2)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ assert result.archive_size > 0
+ assert len(result.pareto_front) > 0
+
+ def test_run_result_fields(self) -> None:
+ config = _make_config(budget=10, population_size=2)
+ evaluator = _make_deterministic_evaluator()
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ assert result.best_workflow_data != {}
+ assert result.total_cost_usd >= 0
+ assert result.convergence_reason != ""
+
+
+class TestSwarmEnginePlateau:
+ def test_plateau_detection(self) -> None:
+ config = _make_config(budget=100, population_size=2)
+
+ def flat_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.0, benchmark_score=0.5, hygiene_score=0.5,
+ cost_usd=0.01, complexity=3.0,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=flat_eval)
+ strategy = WeightedRandomStrategy(mutation_rate=0.3)
+ engine = SwarmEngine(config, evaluator, strategy=strategy)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+ # With flat scores, should converge via plateau, early stop, or budget
+ assert result.convergence_reason in (
+ "budget_exhausted",
+ "target_score_reached",
+ "plateau",
+ "diversity_collapse",
+ "early_stop_unchanged",
+ "unknown",
+ )
+
+ def test_plateau_increases_mutation_rate(self) -> None:
+ strategy = WeightedRandomStrategy(mutation_rate=0.3)
+ assert strategy.get_mutation_rate(0) == 0.3
+ strategy.on_plateau()
+ assert strategy.get_mutation_rate(0) == pytest.approx(0.5)
+
+ def test_improvement_resets_mutation_rate(self) -> None:
+ strategy = WeightedRandomStrategy(mutation_rate=0.3)
+ strategy.on_plateau()
+ assert strategy.get_mutation_rate(0) == pytest.approx(0.5)
+ strategy.on_improvement()
+ assert strategy.get_mutation_rate(0) == 0.3
+
+
+class TestSwarmEngineIntegration:
+ def test_3_generations_with_mock(self) -> None:
+ """Integration test: 3 generations, pop=4, mock fitness, verify trajectory."""
+ config = _make_config(budget=50, population_size=4, target_score=None)
+
+ eval_counter: dict[str, int] = {"n": 0}
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ eval_counter["n"] += 1
+ score = min(0.3 + eval_counter["n"] * 0.01, 1.0)
+ return EvalResult(
+ score=0.0, benchmark_score=score, hygiene_score=0.6,
+ cost_usd=0.05, complexity=float(len(wf.nodes)),
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_workflow()
+
+ result = engine.run(wf)
+
+ assert result.generations_completed >= 1
+ assert result.total_evaluations > 0
+ assert len(result.trajectory) >= 1
+ assert result.best_score > 0
+ assert len(result.hyperparameter_history) == result.generations_completed
+
+ for hp in result.hyperparameter_history:
+ assert hp.mutation_rate > 0
+ assert hp.population_size > 0
diff --git a/tests/test_outer_loop/test_evaluator.py b/tests/test_outer_loop/test_evaluator.py
new file mode 100644
index 000000000..327cac620
--- /dev/null
+++ b/tests/test_outer_loop/test_evaluator.py
@@ -0,0 +1,301 @@
+"""Tests for SwarmEvaluator and FitnessCache."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.cycle_analyzer import CycleRecord
+from factory.outer_loop.evaluator import CycleRecordCache, FitnessCache, SwarmEvaluator
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ Workflow,
+)
+
+
+def _make_config(**overrides: object) -> SwarmConfig:
+ defaults: dict[str, object] = {
+ "benchmark": "test",
+ "budget": 50,
+ "training_instances": ["t1", "t2"],
+ "holdout_instances": ["h1"],
+ }
+ defaults.update(overrides)
+ return SwarmConfig(**defaults) # type: ignore[arg-type]
+
+
+def _make_simple_workflow(name: str = "test_wf") -> Workflow:
+ return Workflow(
+ name=name,
+ nodes={
+ "study": FnNode(id="study", command="echo study", writes={".factory/obs.md"}),
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER, reads={".factory/obs.md"},
+ ),
+ "gate": GateNode(id="gate", evaluator_type="fn"),
+ },
+ edges=[
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="gate"),
+ ],
+ start_node="study",
+ )
+
+
+class TestFitnessCache:
+ def test_miss_then_hit(self) -> None:
+ cache = FitnessCache()
+ wf = _make_simple_workflow()
+ instances = ["t1", "t2"]
+
+ assert cache.get(wf, instances) is None
+ cache.put(wf, instances, 0.85, 1.5)
+ result = cache.get(wf, instances)
+ assert result is not None
+ score, cost, ts = result
+ assert score == 0.85
+ assert cost == 1.5
+ assert ts > 0
+
+ def test_different_instances_separate_keys(self) -> None:
+ cache = FitnessCache()
+ wf = _make_simple_workflow()
+ cache.put(wf, ["t1"], 0.7, 1.0)
+ cache.put(wf, ["t1", "t2"], 0.85, 2.0)
+
+ r1 = cache.get(wf, ["t1"])
+ r2 = cache.get(wf, ["t1", "t2"])
+ assert r1 is not None and r2 is not None
+ assert r1[0] == 0.7
+ assert r2[0] == 0.85
+
+ def test_size(self) -> None:
+ cache = FitnessCache()
+ wf = _make_simple_workflow()
+ assert cache.size == 0
+ cache.put(wf, ["t1"], 0.5, 0.0)
+ assert cache.size == 1
+
+
+class TestSwarmEvaluator:
+ def test_evaluate_with_fn(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.0, benchmark_score=0.8, hygiene_score=0.9,
+ cost_usd=1.0, complexity=5.0,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+
+ assert result.score > 0
+ assert result.benchmark_score == 0.8
+
+ def test_evaluate_uses_cache(self) -> None:
+ config = _make_config()
+ call_count = 0
+
+ def counting_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ nonlocal call_count
+ call_count += 1
+ return EvalResult(score=0.0, benchmark_score=0.7, hygiene_score=0.8)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=counting_eval)
+ wf = _make_simple_workflow()
+ evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert call_count == 1
+
+ def test_mandatory_component_rejection(self) -> None:
+ config = _make_config(mandatory_node_roles=["health_checker"])
+ evaluator = SwarmEvaluator(config)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert result.score == 0.0
+ assert result.details.get("rejected") == "mandatory_component_missing"
+
+ def test_mandatory_component_passes(self) -> None:
+ config = _make_config(mandatory_node_roles=["builder"])
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.0, benchmark_score=0.5, hygiene_score=0.5)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert result.score > 0
+
+ def test_frozen_node_rejection(self) -> None:
+ config = _make_config(frozen_node_ids=["missing_node"])
+ evaluator = SwarmEvaluator(config)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert result.score == 0.0
+ assert result.details.get("rejected") == "frozen_node_violated"
+
+ def test_frozen_node_passes(self) -> None:
+ config = _make_config(frozen_node_ids=["study"])
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.0, benchmark_score=0.6, hygiene_score=0.7)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert result.score > 0
+
+ def test_evaluate_batch(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.0, benchmark_score=0.5, hygiene_score=0.5)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ wf1 = _make_simple_workflow("wf1")
+ wf2 = _make_simple_workflow("wf2")
+ results = evaluator.evaluate_batch([wf1, wf2], "/tmp/test", ["t1"])
+ assert len(results) == 2
+ assert all(r.score > 0 for r in results)
+
+ def test_multi_metric_composition(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.0, benchmark_score=1.0, hygiene_score=1.0,
+ cost_usd=0.0, complexity=0.0,
+ )
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ # 0.6*1.0 + 0.2*1.0 + 0.1*(1-0) + 0.1*(1-0) = 1.0
+ assert result.score == 1.0
+
+ def test_no_evaluator_fn(self) -> None:
+ config = _make_config()
+ evaluator = SwarmEvaluator(config)
+ wf = _make_simple_workflow()
+ result = evaluator.evaluate(wf, "/tmp/test", ["t1"])
+ assert result.details.get("note") == "no_evaluator_fn_configured"
+
+ def test_loads_cache_from_disk(self, tmp_path: Path) -> None:
+ config = _make_config()
+ wf = _make_simple_workflow()
+ wf_hash = CycleRecordCache.workflow_hash(wf)
+
+ cache_path = tmp_path / ".factory" / "outer_loop" / "eval_cache.jsonl"
+ cache_path.parent.mkdir(parents=True, exist_ok=True)
+ entry = {"workflow_hash": wf_hash, "score": 0.9, "cost": 1.5, "kept": 2, "reverted": 0}
+ cache_path.write_text(json.dumps(entry) + "\n")
+
+ evaluator = SwarmEvaluator(config, project_dir=tmp_path)
+ assert evaluator.cycle_cache.size == 1
+
+ cached = evaluator.cycle_cache.get(wf)
+ assert cached is not None
+ assert cached.score_end == 0.9
+
+
+class TestCycleRecordCache:
+ def _make_record(self, score: float = 0.8, cost: float = 1.0) -> CycleRecord:
+ return CycleRecord(
+ cycle_number=1,
+ mode="test",
+ started_at="2026-01-01T00:00:00",
+ ended_at="2026-01-01T00:10:00",
+ duration_s=600.0,
+ score_start=0.0,
+ score_end=score,
+ score_delta=score,
+ kept=3,
+ reverted=1,
+ total_cost_usd=cost,
+ )
+
+ def test_save_and_load_round_trip(self, tmp_path: Path) -> None:
+ cache = CycleRecordCache()
+ wf = _make_simple_workflow()
+ record = self._make_record(0.85, 2.0)
+ cache.put(wf, record)
+
+ path = tmp_path / "cache.jsonl"
+ cache.save_cache(path)
+ assert path.exists()
+
+ cache2 = CycleRecordCache()
+ loaded = cache2.load_cache(path)
+ assert loaded == 1
+ assert cache2.size == 1
+
+ restored = cache2.get(wf)
+ assert restored is not None
+ assert restored.score_end == 0.85
+ assert restored.total_cost_usd == 2.0
+
+ def test_save_is_append_only(self, tmp_path: Path) -> None:
+ path = tmp_path / "cache.jsonl"
+ wf1 = _make_simple_workflow("wf1")
+ wf2 = _make_simple_workflow("wf2")
+
+ cache1 = CycleRecordCache()
+ cache1.put(wf1, self._make_record(0.7))
+ cache1.save_cache(path)
+
+ cache2 = CycleRecordCache()
+ cache2.put(wf2, self._make_record(0.9))
+ cache2.save_cache(path)
+
+ lines = path.read_text().strip().splitlines()
+ assert len(lines) == 2
+
+ def test_save_deduplicates(self, tmp_path: Path) -> None:
+ path = tmp_path / "cache.jsonl"
+ wf = _make_simple_workflow()
+
+ cache = CycleRecordCache()
+ cache.put(wf, self._make_record())
+ cache.save_cache(path)
+ cache.save_cache(path)
+
+ lines = path.read_text().strip().splitlines()
+ assert len(lines) == 1
+
+ def test_load_skips_corrupt_lines(self, tmp_path: Path) -> None:
+ path = tmp_path / "cache.jsonl"
+ valid = json.dumps({"workflow_hash": "abc123", "score": 0.5, "cost": 1.0})
+ path.write_text(f"not-json\n{valid}\n\n")
+
+ cache = CycleRecordCache()
+ loaded = cache.load_cache(path)
+ assert loaded == 1
+
+ def test_load_nonexistent_file(self, tmp_path: Path) -> None:
+ cache = CycleRecordCache()
+ loaded = cache.load_cache(tmp_path / "missing.jsonl")
+ assert loaded == 0
+ assert cache.size == 0
+
+ def test_checkpoint_cache(self, tmp_path: Path) -> None:
+ config = _make_config()
+ evaluator = SwarmEvaluator(config, project_dir=tmp_path)
+ wf = _make_simple_workflow()
+ record = self._make_record(0.75)
+ evaluator.cycle_cache.put(wf, record)
+
+ evaluator.checkpoint_cache()
+
+ cache_path = tmp_path / ".factory" / "outer_loop" / "eval_cache.jsonl"
+ assert cache_path.exists()
+ lines = cache_path.read_text().strip().splitlines()
+ assert len(lines) == 1
+ entry = json.loads(lines[0])
+ assert entry["score"] == 0.75
diff --git a/tests/test_outer_loop/test_featurebench_evaluator.py b/tests/test_outer_loop/test_featurebench_evaluator.py
new file mode 100644
index 000000000..59899076a
--- /dev/null
+++ b/tests/test_outer_loop/test_featurebench_evaluator.py
@@ -0,0 +1,146 @@
+"""Tests for FeatureBenchEvaluator and partial credit scoring."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from factory.outer_loop.featurebench_evaluator import (
+ FeatureBenchEvaluator,
+ parse_pytest_stdout,
+)
+
+
+class TestFeatureBenchEvaluator:
+ def test_parse_pytest_json_report(self, tmp_path: Path) -> None:
+ report = {
+ "tests": [
+ {"nodeid": "test_a", "outcome": "passed"},
+ {"nodeid": "test_b", "outcome": "passed"},
+ {"nodeid": "test_c", "outcome": "failed"},
+ {"nodeid": "test_d", "outcome": "passed"},
+ ]
+ }
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.valid
+ assert result.score == 0.75
+ assert result.metrics["tests_passed"] == 3.0
+ assert result.metrics["tests_total"] == 4.0
+ assert result.metrics["pass_rate"] == 0.75
+
+ def test_parse_all_passing(self, tmp_path: Path) -> None:
+ report = {"tests": [{"outcome": "passed"}, {"outcome": "passed"}]}
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.score == 1.0
+
+ def test_parse_all_failing(self, tmp_path: Path) -> None:
+ report = {"tests": [{"outcome": "failed"}, {"outcome": "failed"}]}
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.score == 0.0
+
+ def test_parse_empty_tests(self, tmp_path: Path) -> None:
+ report = {"tests": []}
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.score == 0.0
+
+ def test_parse_summary_format(self, tmp_path: Path) -> None:
+ report = {"summary": {"passed": 5, "total": 8}}
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.score == 5 / 8
+
+ def test_parse_factory_eval_format(self, tmp_path: Path) -> None:
+ report = {"results": [{"score": 0.8}, {"score": 0.6}]}
+ path = tmp_path / "report.json"
+ path.write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert result.score == 0.7
+
+ def test_parse_invalid_json(self, tmp_path: Path) -> None:
+ path = tmp_path / "bad.json"
+ path.write_text("not json")
+
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(path)
+
+ assert not result.valid
+ assert result.score == 0.0
+
+ def test_parse_missing_file(self) -> None:
+ evaluator = FeatureBenchEvaluator()
+ result = evaluator.parse(Path("/nonexistent/report.json"))
+
+ assert not result.valid
+ assert result.score == 0.0
+
+ def test_parse_many(self, tmp_path: Path) -> None:
+ for i, scores in enumerate([(3, 4), (5, 8), (1, 2)]):
+ passed, total = scores
+ report = {"summary": {"passed": passed, "total": total}}
+ (tmp_path / f"report_{i}.json").write_text(json.dumps(report))
+
+ evaluator = FeatureBenchEvaluator()
+ paths = [tmp_path / f"report_{i}.json" for i in range(3)]
+ result = evaluator.parse_many(paths)
+
+ assert result.score == 0.75
+
+ def test_get_info(self) -> None:
+ evaluator = FeatureBenchEvaluator()
+ info = evaluator.get_info()
+ assert info["benchmark"] == "featurebench"
+ assert info["scoring"] == "partial_credit"
+
+
+class TestParsePytestStdout:
+ def test_basic_output(self) -> None:
+ stdout = "====== 5 passed, 3 failed in 10.5s ======"
+ metrics = parse_pytest_stdout(stdout)
+ assert metrics["tests_passed"] == 5.0
+ assert metrics["tests_total"] == 8.0
+ assert metrics["pass_rate"] == 5 / 8
+
+ def test_all_passed(self) -> None:
+ stdout = "====== 10 passed in 5.0s ======"
+ metrics = parse_pytest_stdout(stdout)
+ assert metrics["tests_passed"] == 10.0
+ assert metrics["tests_total"] == 10.0
+ assert metrics["pass_rate"] == 1.0
+
+ def test_with_errors(self) -> None:
+ stdout = "====== 3 passed, 2 failed, 1 error in 8.0s ======"
+ metrics = parse_pytest_stdout(stdout)
+ assert metrics["tests_passed"] == 3.0
+ assert metrics["tests_total"] == 6.0
+ assert metrics["pass_rate"] == 0.5
+
+ def test_empty_output(self) -> None:
+ metrics = parse_pytest_stdout("")
+ assert metrics["pass_rate"] == 0.0
diff --git a/tests/test_outer_loop/test_mode_registry.py b/tests/test_outer_loop/test_mode_registry.py
new file mode 100644
index 000000000..75c0ba1b7
--- /dev/null
+++ b/tests/test_outer_loop/test_mode_registry.py
@@ -0,0 +1,355 @@
+"""Tests for EphemeralModeRegistry."""
+
+from __future__ import annotations
+
+import importlib.util
+import os
+import sys
+import time
+from pathlib import Path
+
+
+from factory.outer_loop.mode_registry import EphemeralModeRegistry
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ GateNode,
+ Workflow,
+)
+
+
+def _make_workflow(name: str = "test_wf") -> Workflow:
+ return Workflow(
+ name=name,
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate": GateNode(
+ id="gate",
+ evaluator_type="agent",
+ evaluator_role=AgentRole.HEALTH_CHECKER,
+ ),
+ },
+ edges=[Edge(source="builder", target="gate")],
+ start_node="builder",
+ )
+
+
+class TestEphemeralModeRegistry:
+ def test_register_creates_file(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("abc12345", 0, wf)
+
+ assert mode_name == "evolve-gen0-abc12345"
+ mode_file = tmp_path / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ assert mode_file.exists()
+
+ def test_register_naming_convention(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ name0 = registry.register("individual1", 0, wf)
+ name1 = registry.register("individual2", 3, wf)
+
+ assert name0 == "evolve-gen0-individu"
+ assert name1 == "evolve-gen3-individu"
+
+ def test_load_round_trip(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("test1234", 0, wf)
+
+ loaded = registry.load(mode_name)
+ assert loaded is not None
+ assert set(loaded.nodes.keys()) == {"builder", "gate"}
+ assert loaded.start_node == "builder"
+
+ def test_load_nonexistent(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ assert registry.load("nonexistent-mode") is None
+
+ def test_cleanup_generation(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 0, wf)
+ registry.register("ccc", 0, wf)
+
+ assert registry.count == 3
+ removed = registry.cleanup_generation({"evolve-gen0-aaa"})
+ assert removed == 2
+ assert registry.count == 1
+ modes = registry.list_modes()
+ assert "evolve-gen0-aaa" in modes
+
+ def test_cleanup_all(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 1, wf)
+
+ removed = registry.cleanup_all()
+ assert removed == 2
+ assert registry.count == 0
+
+ def test_cleanup_all_keep_best(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 0, wf)
+
+ removed = registry.cleanup_all(keep_best="evolve-gen0-bbb")
+ assert removed == 1
+ assert registry.count == 1
+
+ def test_context_manager_cleanup(self, tmp_path: Path) -> None:
+ with EphemeralModeRegistry(tmp_path) as registry:
+ wf = _make_workflow()
+ registry.register("test", 0, wf)
+ assert registry.count == 1
+
+ # After context exit, modes should be cleaned up
+ fresh = EphemeralModeRegistry(tmp_path)
+ assert fresh.count == 0
+
+ def test_promote(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("winner", 5, wf)
+
+ dest = registry.promote(mode_name, "best-evolved")
+ assert dest is not None
+ assert dest.exists()
+ assert "best-evolved" in str(dest)
+
+ def test_promote_nonexistent(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ assert registry.promote("nonexistent", "test") is None
+
+ def test_list_modes(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 1, wf)
+
+ modes = registry.list_modes()
+ assert len(modes) == 2
+ assert "evolve-gen0-aaa" in modes
+ assert "evolve-gen1-bbb" in modes
+
+ def test_register_creates_workflow_wrapper(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("abc12345", 0, wf)
+
+ wrapper = tmp_path / ".factory" / "workflows" / f"{mode_name}.py"
+ assert wrapper.exists()
+
+ spec = importlib.util.spec_from_file_location(f"_test_{mode_name}", wrapper)
+ assert spec is not None and spec.loader is not None
+ mod = importlib.util.module_from_spec(spec)
+ sys.modules[spec.name] = mod
+ spec.loader.exec_module(mod)
+ sys.modules.pop(spec.name, None)
+
+ assert mod.meta["name"] == mode_name
+ loaded = mod.workflow()
+ assert set(loaded.nodes.keys()) == {"builder", "gate"}
+
+ def test_cleanup_generation_removes_wrappers(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 0, wf)
+
+ wf_dir = tmp_path / ".factory" / "workflows"
+ assert (wf_dir / "evolve-gen0-aaa.py").exists()
+ assert (wf_dir / "evolve-gen0-bbb.py").exists()
+
+ registry.cleanup_generation({"evolve-gen0-aaa"})
+ assert (wf_dir / "evolve-gen0-aaa.py").exists()
+ assert not (wf_dir / "evolve-gen0-bbb.py").exists()
+
+ def test_cleanup_all_removes_wrappers(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 0, wf)
+
+ wf_dir = tmp_path / ".factory" / "workflows"
+ registry.cleanup_all(keep_best="evolve-gen0-aaa")
+ assert (wf_dir / "evolve-gen0-aaa.py").exists()
+ assert not (wf_dir / "evolve-gen0-bbb.py").exists()
+
+ def test_context_manager_removes_wrappers(self, tmp_path: Path) -> None:
+ with EphemeralModeRegistry(tmp_path) as registry:
+ wf = _make_workflow()
+ registry.register("test", 0, wf)
+ assert (tmp_path / ".factory" / "workflows" / "evolve-gen0-test.py").exists()
+
+ assert not (tmp_path / ".factory" / "workflows" / "evolve-gen0-test.py").exists()
+
+
+class TestEphemeralModeRegistryTargetDir:
+ """Tests for target_dir mirroring when sub-CEO runs in a different project."""
+
+ def test_register_mirrors_to_target(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ mode_name = registry.register("abc12345", 0, wf)
+
+ assert (outer / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json").exists()
+ assert (outer / ".factory" / "workflows" / f"{mode_name}.py").exists()
+ assert (target / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json").exists()
+ assert (target / ".factory" / "workflows" / f"{mode_name}.py").exists()
+
+ def test_target_wrapper_loads_correctly(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ mode_name = registry.register("abc12345", 0, wf)
+
+ wrapper = target / ".factory" / "workflows" / f"{mode_name}.py"
+ spec = importlib.util.spec_from_file_location(f"_test_target_{mode_name}", wrapper)
+ assert spec is not None and spec.loader is not None
+ mod = importlib.util.module_from_spec(spec)
+ sys.modules[spec.name] = mod
+ spec.loader.exec_module(mod)
+ sys.modules.pop(spec.name, None)
+
+ loaded = mod.workflow()
+ assert set(loaded.nodes.keys()) == {"builder", "gate"}
+
+ def test_cleanup_all_removes_target_artifacts(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ mode_name = registry.register("aaa", 0, wf)
+
+ registry.cleanup_all()
+ assert not (target / ".factory" / "workflows" / f"{mode_name}.py").exists()
+ assert not (target / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json").exists()
+
+ def test_cleanup_generation_removes_target_artifacts(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ registry.register("aaa", 0, wf)
+ registry.register("bbb", 0, wf)
+
+ registry.cleanup_generation({"evolve-gen0-aaa"})
+ assert (target / ".factory" / "workflows" / "evolve-gen0-aaa.py").exists()
+ assert not (target / ".factory" / "workflows" / "evolve-gen0-bbb.py").exists()
+
+ def test_no_target_dir_no_mirroring(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer)
+ wf = _make_workflow()
+ registry.register("abc12345", 0, wf)
+
+ assert not (target / ".factory" / "workflows").exists()
+ assert not (target / ".factory" / "outer_loop").exists()
+
+ def test_same_dir_target_no_duplicate(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path, target_dir=tmp_path)
+ assert not registry.has_target
+ wf = _make_workflow()
+ mode_name = registry.register("abc12345", 0, wf)
+ assert (tmp_path / ".factory" / "workflows" / f"{mode_name}.py").exists()
+
+
+class TestPruneStaleModes:
+ def test_prune_removes_old_modes(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ mode_name = registry.register("old_mode", 0, wf)
+
+ mode_file = tmp_path / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ old_time = time.time() - 25 * 3600
+ os.utime(mode_file, (old_time, old_time))
+
+ pruned = registry.prune_stale_modes(older_than_hours=24)
+ assert mode_name in pruned
+ assert not mode_file.exists()
+ wrapper = tmp_path / ".factory" / "workflows" / f"{mode_name}.py"
+ assert not wrapper.exists()
+
+ def test_prune_keeps_recent_modes(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ registry.register("new_mode", 0, wf)
+
+ pruned = registry.prune_stale_modes(older_than_hours=24)
+ assert len(pruned) == 0
+ assert registry.count == 1
+
+ def test_prune_mixed_old_and_new(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ wf = _make_workflow()
+ old_name = registry.register("old_one", 0, wf)
+ new_name = registry.register("new_one", 1, wf)
+
+ old_file = tmp_path / ".factory" / "outer_loop" / "modes" / f"{old_name}.json"
+ old_time = time.time() - 48 * 3600
+ os.utime(old_file, (old_time, old_time))
+
+ pruned = registry.prune_stale_modes(older_than_hours=24)
+ assert old_name in pruned
+ assert new_name not in pruned
+ assert registry.count == 1
+
+ def test_prune_empty_modes_dir(self, tmp_path: Path) -> None:
+ registry = EphemeralModeRegistry(tmp_path)
+ pruned = registry.prune_stale_modes()
+ assert pruned == []
+
+ def test_prune_removes_target_artifacts(self, tmp_path: Path) -> None:
+ outer = tmp_path / "outer"
+ target = tmp_path / "target"
+ outer.mkdir()
+ target.mkdir()
+
+ registry = EphemeralModeRegistry(outer, target_dir=target)
+ wf = _make_workflow()
+ mode_name = registry.register("old_tgt", 0, wf)
+
+ mode_file = outer / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json"
+ old_time = time.time() - 25 * 3600
+ os.utime(mode_file, (old_time, old_time))
+
+ pruned = registry.prune_stale_modes(older_than_hours=24)
+ assert mode_name in pruned
+ assert not (target / ".factory" / "workflows" / f"{mode_name}.py").exists()
+ assert not (target / ".factory" / "outer_loop" / "modes" / f"{mode_name}.json").exists()
diff --git a/tests/test_outer_loop/test_models.py b/tests/test_outer_loop/test_models.py
new file mode 100644
index 000000000..869153ff0
--- /dev/null
+++ b/tests/test_outer_loop/test_models.py
@@ -0,0 +1,228 @@
+"""Tests for outer loop Pydantic models."""
+
+from __future__ import annotations
+
+import pytest
+from pydantic import ValidationError
+
+from factory.outer_loop.models import (
+ GenerationSummary,
+ HyperparameterRecord,
+ Individual,
+ MutationRecord,
+ MutationType,
+ OuterLoopState,
+ SwarmConfig,
+)
+
+
+class TestMutationType:
+ def test_all_variants(self) -> None:
+ assert len(MutationType) == 7
+ assert MutationType.NODE_INSERT.value == "node_insert"
+ assert MutationType.PARAM_MUTATE.value == "param_mutate"
+ assert MutationType.PROMPT_MUTATE.value == "prompt_mutate"
+
+
+class TestMutationRecord:
+ def test_basic(self) -> None:
+ rec = MutationRecord(
+ operator=MutationType.NODE_INSERT,
+ target_node="agent_1",
+ rationale="test",
+ )
+ assert rec.operator == MutationType.NODE_INSERT
+ assert rec.before == {}
+ assert rec.after == {}
+
+ def test_round_trip(self) -> None:
+ rec = MutationRecord(
+ operator=MutationType.EDGE_REDIRECT,
+ target_node="gate_1",
+ before={"target": "a"},
+ after={"target": "b"},
+ rationale="redirect",
+ )
+ dumped = rec.model_dump(mode="json")
+ restored = MutationRecord.model_validate(dumped)
+ assert restored == rec
+
+ def test_extra_forbid(self) -> None:
+ with pytest.raises(ValidationError):
+ MutationRecord(
+ operator=MutationType.NODE_INSERT,
+ target_node="x",
+ rationale="test",
+ unknown_field="bad", # type: ignore[call-arg]
+ )
+
+
+class TestIndividual:
+ def test_basic(self) -> None:
+ ind = Individual(
+ id="abc123",
+ workflow_data={"name": "test"},
+ score=0.85,
+ features=(3, 2, 5, 1),
+ generation=1,
+ )
+ assert ind.score == 0.85
+ assert ind.features == (3, 2, 5, 1)
+ assert ind.parent_id is None
+
+ def test_round_trip(self) -> None:
+ ind = Individual(
+ id="xyz",
+ workflow_data={"name": "w"},
+ score=0.5,
+ features=(1, 0, 2, 1),
+ generation=0,
+ parent_id="abc",
+ mutation_record=MutationRecord(
+ operator=MutationType.NODE_REMOVE,
+ target_node="n1",
+ rationale="r",
+ ),
+ cost_usd=1.5,
+ )
+ dumped = ind.model_dump(mode="json")
+ restored = Individual.model_validate(dumped)
+ assert restored.parent_id == "abc"
+ assert restored.mutation_record is not None
+ assert restored.mutation_record.operator == MutationType.NODE_REMOVE
+
+
+class TestHyperparameterRecord:
+ def test_basic(self) -> None:
+ rec = HyperparameterRecord(
+ generation=0,
+ mutation_rate=0.3,
+ population_size=4,
+ tournament_size=3,
+ designer_ratio=0.3,
+ operator_weights={"node_insert": 0.2, "node_remove": 0.15},
+ best_score=0.8,
+ mean_score=0.6,
+ diversity=0.4,
+ novel_count=3,
+ )
+ assert rec.generation == 0
+ assert rec.operator_weights["node_insert"] == 0.2
+
+ def test_round_trip(self) -> None:
+ rec = HyperparameterRecord(
+ generation=5,
+ mutation_rate=0.5,
+ population_size=8,
+ tournament_size=5,
+ designer_ratio=0.4,
+ )
+ dumped = rec.model_dump(mode="json")
+ restored = HyperparameterRecord.model_validate(dumped)
+ assert restored == rec
+
+
+class TestSwarmConfig:
+ def test_defaults(self) -> None:
+ cfg = SwarmConfig(benchmark="featurebench", budget=100)
+ assert cfg.population_size == 4
+ assert cfg.tournament_size == 3
+ assert cfg.mutation_rate == 0.3
+ assert cfg.designer_count == 2
+ assert cfg.mutation_strategy == "weighted_random"
+ assert cfg.target_project == ""
+
+ def test_target_project(self) -> None:
+ cfg = SwarmConfig(
+ benchmark="featurebench",
+ budget=50,
+ target_project="/tmp/featurebench-cancel-async",
+ )
+ assert cfg.target_project == "/tmp/featurebench-cancel-async"
+
+ def test_target_project_round_trip(self) -> None:
+ cfg = SwarmConfig(
+ benchmark="featurebench",
+ budget=50,
+ target_project="/tmp/test-project",
+ )
+ dumped = cfg.model_dump(mode="json")
+ restored = SwarmConfig.model_validate(dumped)
+ assert restored.target_project == "/tmp/test-project"
+
+ def test_no_overlap(self) -> None:
+ with pytest.raises(ValidationError, match="overlap"):
+ SwarmConfig(
+ benchmark="test",
+ budget=50,
+ training_instances=["p1", "p2", "p3"],
+ holdout_instances=["p3", "p4"],
+ )
+
+ def test_disjoint_ok(self) -> None:
+ cfg = SwarmConfig(
+ benchmark="test",
+ budget=50,
+ training_instances=["p1", "p2", "p3"],
+ holdout_instances=["p4", "p5"],
+ )
+ assert len(cfg.training_instances) == 3
+ assert len(cfg.holdout_instances) == 2
+
+
+class TestOuterLoopState:
+ def test_defaults(self) -> None:
+ state = OuterLoopState()
+ assert state.generation == 0
+ assert state.convergence_reason is None
+ assert state.hyperparameter_history == []
+
+ def test_with_history(self) -> None:
+ rec = HyperparameterRecord(
+ generation=0,
+ mutation_rate=0.3,
+ population_size=4,
+ tournament_size=3,
+ designer_ratio=0.3,
+ )
+ state = OuterLoopState(
+ generation=1,
+ total_evaluations=8,
+ best_score=0.85,
+ budget_remaining=92,
+ score_trajectory=[0.7, 0.85],
+ hyperparameter_history=[rec],
+ )
+ dumped = state.model_dump(mode="json")
+ restored = OuterLoopState.model_validate(dumped)
+ assert len(restored.hyperparameter_history) == 1
+
+
+class TestGenerationSummary:
+ def test_basic(self) -> None:
+ summary = GenerationSummary(
+ generation=0,
+ population_size=4,
+ best_score=0.8,
+ mean_score=0.6,
+ diversity=0.4,
+ novel_count=3,
+ rejected_duplicates=1,
+ )
+ assert summary.hyperparameters is None
+ assert summary.mutations_applied == []
+
+ def test_with_mutations(self) -> None:
+ rec = MutationRecord(
+ operator=MutationType.PARALLELIZE,
+ rationale="speed up",
+ )
+ summary = GenerationSummary(
+ generation=1,
+ population_size=4,
+ best_score=0.9,
+ mean_score=0.75,
+ diversity=0.5,
+ mutations_applied=[rec],
+ )
+ assert len(summary.mutations_applied) == 1
diff --git a/tests/test_outer_loop/test_multi_benchmark_e2e.py b/tests/test_outer_loop/test_multi_benchmark_e2e.py
new file mode 100644
index 000000000..4d4145b59
--- /dev/null
+++ b/tests/test_outer_loop/test_multi_benchmark_e2e.py
@@ -0,0 +1,727 @@
+"""End-to-end tests for multi-benchmark support.
+
+Tests 3 benchmarks:
+1. FeatureBench — backward compatibility (pytest format)
+2. SWE-bench — exit_code format
+3. Custom benchmark — user-defined test_command and test_format (json)
+"""
+
+from __future__ import annotations
+
+import json
+import subprocess
+from pathlib import Path
+
+import pytest
+
+from factory.inner_loop import InnerLoop
+from factory.outer_loop.benchmark_config import (
+ BenchmarkConfig,
+ list_benchmarks,
+ load_benchmark_config,
+)
+from factory.outer_loop.evaluators import get_evaluator, list_formats
+from factory.outer_loop.evaluators.exact_match import ExactMatchEvaluator
+from factory.outer_loop.evaluators.exit_code import ExitCodeEvaluator
+from factory.outer_loop.evaluators.json_evaluator import JSONEvaluator
+from factory.outer_loop.evaluators.pytest_evaluator import PytestEvaluator
+from factory.outer_loop.instance_prep import _needs_shell, prepare_instances, validate_instance
+from factory.outer_loop.models import SwarmConfig
+
+
+# ---------------------------------------------------------------------------
+# Phase 1: Evaluator registry and format parsers
+# ---------------------------------------------------------------------------
+
+
+class TestEvaluatorRegistry:
+ def test_list_formats_returns_all(self):
+ formats = list_formats()
+ assert "pytest" in formats
+ assert "exit_code" in formats
+ assert "json" in formats
+ assert "exact_match" in formats
+
+ def test_get_evaluator_pytest(self):
+ ev = get_evaluator("pytest")
+ assert isinstance(ev, PytestEvaluator)
+
+ def test_get_evaluator_exit_code(self):
+ ev = get_evaluator("exit_code")
+ assert isinstance(ev, ExitCodeEvaluator)
+
+ def test_get_evaluator_json(self):
+ ev = get_evaluator("json", metric_path="pass_rate")
+ assert isinstance(ev, JSONEvaluator)
+
+ def test_get_evaluator_exact_match(self):
+ ev = get_evaluator("exact_match", answer_extraction=r"\\boxed{(\d+)}")
+ assert isinstance(ev, ExactMatchEvaluator)
+
+ def test_get_evaluator_unknown_raises(self):
+ with pytest.raises(ValueError, match="Unknown test_format"):
+ get_evaluator("nonexistent")
+
+
+class TestPytestEvaluator:
+ def test_parse_pytest_json_report(self, tmp_path: Path):
+ artifact = tmp_path / "report.json"
+ artifact.write_text(json.dumps({
+ "tests": [
+ {"outcome": "passed"},
+ {"outcome": "passed"},
+ {"outcome": "failed"},
+ ]
+ }))
+ ev = PytestEvaluator()
+ result = ev.parse(artifact)
+ assert result.valid
+ assert abs(result.score - 2 / 3) < 0.01
+
+ def test_parse_malformed(self, tmp_path: Path):
+ artifact = tmp_path / "bad.json"
+ artifact.write_text("not json at all")
+ ev = PytestEvaluator()
+ result = ev.parse(artifact)
+ assert not result.valid
+ assert result.score == 0.0
+
+ def test_parse_missing_file(self, tmp_path: Path):
+ ev = PytestEvaluator()
+ result = ev.parse(tmp_path / "nonexistent.json")
+ assert not result.valid
+
+
+class TestExitCodeEvaluator:
+ def test_parse_success(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"returncode": 0}))
+ ev = ExitCodeEvaluator()
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 1.0
+
+ def test_parse_failure(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"returncode": 1}))
+ ev = ExitCodeEvaluator()
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.0
+
+ def test_parse_missing_returncode(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"output": "something"}))
+ ev = ExitCodeEvaluator()
+ result = ev.parse(artifact)
+ assert not result.valid
+
+ def test_parse_many_mixed(self, tmp_path: Path):
+ artifacts = []
+ for i, rc in enumerate([0, 1, 0]):
+ p = tmp_path / f"result_{i}.json"
+ p.write_text(json.dumps({"returncode": rc}))
+ artifacts.append(p)
+ ev = ExitCodeEvaluator()
+ result = ev.parse_many(artifacts)
+ assert result.valid
+ assert abs(result.score - 2 / 3) < 0.01
+
+
+class TestJSONEvaluator:
+ def test_parse_flat_metric(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"pass_rate": 0.85, "total": 20}))
+ ev = JSONEvaluator(metric_path="pass_rate")
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.85
+
+ def test_parse_nested_metric(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"stats": {"resolve_rate": 0.72}}))
+ ev = JSONEvaluator(metric_path="stats.resolve_rate")
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.72
+
+ def test_parse_missing_metric(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"other": 1.0}))
+ ev = JSONEvaluator(metric_path="nonexistent")
+ result = ev.parse(artifact)
+ assert not result.valid
+
+
+class TestExactMatchEvaluator:
+ def test_exact_match_no_extraction(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"output": "42", "expected": "42"}))
+ ev = ExactMatchEvaluator()
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 1.0
+
+ def test_exact_match_mismatch(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({"output": "41", "expected": "42"}))
+ ev = ExactMatchEvaluator()
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.0
+
+ def test_exact_match_with_regex(self, tmp_path: Path):
+ artifact = tmp_path / "result.json"
+ artifact.write_text(json.dumps({
+ "output": "The answer is \\boxed{42} as shown.",
+ "expected": "42",
+ }))
+ ev = ExactMatchEvaluator(answer_extraction=r"\\boxed\{(\d+)\}")
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 1.0
+
+ def test_parse_many_accuracy(self, tmp_path: Path):
+ artifacts = []
+ for i, (out, exp) in enumerate([("42", "42"), ("41", "42"), ("100", "100")]):
+ p = tmp_path / f"result_{i}.json"
+ p.write_text(json.dumps({"output": out, "expected": exp}))
+ artifacts.append(p)
+ ev = ExactMatchEvaluator()
+ result = ev.parse_many(artifacts)
+ assert result.valid
+ assert abs(result.score - 2 / 3) < 0.01
+
+
+# ---------------------------------------------------------------------------
+# Phase 2: Benchmark config TOML registry
+# ---------------------------------------------------------------------------
+
+
+class TestBenchmarkConfig:
+ def test_load_featurebench(self):
+ config = load_benchmark_config("featurebench")
+ assert config.name == "featurebench"
+ assert config.test_format == "pytest"
+ assert config.instance_format == "directory"
+
+ def test_load_swebench(self):
+ config = load_benchmark_config("swebench")
+ assert config.name == "swebench"
+ assert config.test_format == "exit_code"
+ assert config.instance_format == "git-repo"
+ assert config.prep_command != ""
+
+ def test_load_aime(self):
+ config = load_benchmark_config("aime")
+ assert config.name == "aime"
+ assert config.test_format == "exact_match"
+ assert config.instance_format == "question-answer"
+ assert config.answer_extraction != ""
+
+ def test_load_nonexistent_raises(self):
+ with pytest.raises(FileNotFoundError):
+ load_benchmark_config("nonexistent_benchmark_xyz")
+
+ def test_list_benchmarks_includes_builtins(self):
+ configs = list_benchmarks()
+ names = {c.name for c in configs}
+ assert "featurebench" in names
+ assert "swebench" in names
+ assert "aime" in names
+
+ def test_project_local_override(self, tmp_path: Path):
+ bench_dir = tmp_path / ".factory" / "benchmarks"
+ bench_dir.mkdir(parents=True)
+ (bench_dir / "featurebench.toml").write_text(
+ '[meta]\nname = "featurebench"\ndescription = "overridden"\n'
+ '[test]\nformat = "exit_code"\n'
+ )
+ config = load_benchmark_config("featurebench", tmp_path)
+ assert config.test_format == "exit_code"
+ assert config.description == "overridden"
+
+ def test_custom_benchmark_toml(self, tmp_path: Path):
+ bench_dir = tmp_path / ".factory" / "benchmarks"
+ bench_dir.mkdir(parents=True)
+ (bench_dir / "my_custom.toml").write_text(
+ '[meta]\nname = "my_custom"\ndescription = "Custom benchmark"\n'
+ '[test]\nformat = "json"\ncommand = "python run_eval.py"\n'
+ 'metric_path = "accuracy"\ntimeout = 120\n'
+ '[instances]\nformat = "directory"\n'
+ '[scoring]\nmethod = "metric_extraction"\n'
+ )
+ config = load_benchmark_config("my_custom", tmp_path)
+ assert config.name == "my_custom"
+ assert config.test_format == "json"
+ assert config.test_command == "python run_eval.py"
+ assert config.metric_path == "accuracy"
+
+
+# ---------------------------------------------------------------------------
+# Phase 3: Wiring — SwarmConfig with new fields
+# ---------------------------------------------------------------------------
+
+
+class TestSwarmConfigMultiBenchmark:
+ def test_default_values_backward_compat(self):
+ config = SwarmConfig(benchmark="featurebench", budget=10)
+ assert config.test_format == "pytest"
+ assert config.seed_workflow == ""
+ assert config.instance_format == "directory"
+ assert config.prep_command == ""
+
+ def test_custom_values(self):
+ config = SwarmConfig(
+ benchmark="swebench",
+ budget=20,
+ test_format="exit_code",
+ seed_workflow="improve",
+ instance_format="git-repo",
+ prep_command="git clone {repo_url}",
+ )
+ assert config.test_format == "exit_code"
+ assert config.instance_format == "git-repo"
+ assert config.prep_command == "git clone {repo_url}"
+
+ def test_serialization_roundtrip(self):
+ config = SwarmConfig(
+ benchmark="aime",
+ budget=5,
+ test_format="exact_match",
+ instance_format="question-answer",
+ )
+ data = config.model_dump(mode="json")
+ restored = SwarmConfig.model_validate(data)
+ assert restored.test_format == "exact_match"
+ assert restored.instance_format == "question-answer"
+
+ def test_checkpoint_migration(self):
+ """Old checkpoint JSON without new fields should still parse."""
+ old_data = {
+ "benchmark": "featurebench",
+ "budget": 50,
+ "population_size": 4,
+ "tournament_size": 3,
+ "mutation_rate": 0.3,
+ "frozen_node_ids": [],
+ "mandatory_node_roles": [],
+ "feature_axes": ["depth", "fork_degree", "agent_count", "gate_count"],
+ "mutation_strategy": "weighted_random",
+ "designer_count": 2,
+ "training_instances": [],
+ "holdout_instances": [],
+ "plateau_window": 3,
+ "plateau_threshold": 0.01,
+ "diversity_floor": 0.2,
+ "target_project": "",
+ "test_command": "",
+ "early_stop_unchanged": 3,
+ }
+ config = SwarmConfig.model_validate(old_data)
+ assert config.test_format == "pytest"
+ assert config.seed_workflow == ""
+
+
+class TestInnerLoopTestFormat:
+ def test_pytest_format_default(self, tmp_path: Path):
+ loop = InnerLoop(project_dir=tmp_path, test_command="echo hello")
+ assert loop.test_format == "pytest"
+
+ def test_exit_code_format(self, tmp_path: Path):
+ loop = InnerLoop(project_dir=tmp_path, test_command="true", test_format="exit_code")
+ assert loop.test_format == "exit_code"
+
+
+# ---------------------------------------------------------------------------
+# Phase 4: Instance preparation
+# ---------------------------------------------------------------------------
+
+
+class TestInstancePrep:
+ def test_validate_directory(self, tmp_path: Path):
+ instance_dir = tmp_path / "inst1"
+ instance_dir.mkdir()
+ assert validate_instance(instance_dir, "directory") is True
+
+ def test_validate_nonexistent(self, tmp_path: Path):
+ assert validate_instance(tmp_path / "nope", "directory") is False
+
+ def test_validate_question_answer(self, tmp_path: Path):
+ instance_dir = tmp_path / "qa1"
+ instance_dir.mkdir()
+ (instance_dir / "question.txt").write_text("What is 2+2?")
+ (instance_dir / "answer.txt").write_text("4")
+ assert validate_instance(instance_dir, "question-answer") is True
+
+ def test_validate_question_answer_missing(self, tmp_path: Path):
+ instance_dir = tmp_path / "qa2"
+ instance_dir.mkdir()
+ (instance_dir / "question.txt").write_text("What is 2+2?")
+ assert validate_instance(instance_dir, "question-answer") is False
+
+ def test_prepare_directory_instances(self, tmp_path: Path):
+ config = BenchmarkConfig(
+ name="test",
+ instance_format="directory",
+ prep_command="mkdir -p {instance_dir}/src",
+ )
+ prepared = prepare_instances(config, ["inst1", "inst2"], tmp_path / "output")
+ assert len(prepared) == 2
+ assert (prepared[0] / "src").is_dir()
+
+ def test_prepare_with_shell_operators(self, tmp_path: Path):
+ config = BenchmarkConfig(
+ name="test_shell",
+ instance_format="directory",
+ prep_command="mkdir -p {instance_dir}/src && touch {instance_dir}/src/ready.txt",
+ )
+ prepared = prepare_instances(config, ["s1"], tmp_path / "output")
+ assert len(prepared) == 1
+ assert (prepared[0] / "src" / "ready.txt").exists()
+
+ def test_needs_shell_detection(self) -> None:
+ assert _needs_shell("cmd1 && cmd2") is True
+ assert _needs_shell("cmd1 || cmd2") is True
+ assert _needs_shell("cmd1 ; cmd2") is True
+ assert _needs_shell("cmd1 | cmd2") is True
+ assert _needs_shell("simple-command --flag value") is False
+ assert _needs_shell("mkdir -p /some/path") is False
+
+ def test_swebench_prep_command_uses_supported_vars(self) -> None:
+ config = load_benchmark_config("swebench")
+ assert "{instance_id}" in config.prep_command
+ assert "{instance_dir}" in config.prep_command
+ assert "{repo_url}" not in config.prep_command
+ assert "{commit}" not in config.prep_command
+
+ def test_prepare_question_answer_instances(self, tmp_path: Path):
+ script = tmp_path / "setup.sh"
+ script.write_text(
+ '#!/bin/bash\n'
+ 'echo "What is 1+1?" > "$1/question.txt"\n'
+ 'echo "2" > "$1/answer.txt"\n'
+ )
+ script.chmod(0o755)
+ config = BenchmarkConfig(
+ name="test_qa",
+ instance_format="question-answer",
+ prep_command=f"{script} {{instance_dir}}",
+ )
+ prepared = prepare_instances(config, ["q1"], tmp_path / "output")
+ assert len(prepared) == 1
+ assert (prepared[0] / "question.txt").read_text().strip() == "What is 1+1?"
+
+
+# ---------------------------------------------------------------------------
+# E2E: Full flow tests for 3 benchmarks
+# ---------------------------------------------------------------------------
+
+
+class TestE2EFeatureBenchBackwardCompat:
+ """E2E test 1: FeatureBench backward compatibility."""
+
+ def test_featurebench_config_matches_hardcoded(self):
+ config = load_benchmark_config("featurebench")
+ assert config.test_format == "pytest"
+ assert config.instance_format == "directory"
+ assert config.seed_workflow == "improve"
+
+ def test_featurebench_evaluator_is_pytest(self):
+ ev = get_evaluator("pytest")
+ assert isinstance(ev, PytestEvaluator)
+ info = ev.get_info()
+ assert info["test_format"] == "pytest"
+
+ def test_featurebench_swarm_config_defaults(self):
+ config = SwarmConfig(benchmark="featurebench", budget=10)
+ assert config.test_format == "pytest"
+ assert config.instance_format == "directory"
+
+ def test_featurebench_full_parse_flow(self, tmp_path: Path):
+ """Full flow: create pytest artifacts → parse → get score."""
+ artifact = tmp_path / "eval_report.json"
+ artifact.write_text(json.dumps({
+ "tests": [
+ {"outcome": "passed", "nodeid": "test_a"},
+ {"outcome": "passed", "nodeid": "test_b"},
+ {"outcome": "failed", "nodeid": "test_c"},
+ {"outcome": "passed", "nodeid": "test_d"},
+ ]
+ }))
+ ev = get_evaluator("pytest")
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.75
+
+ def test_backward_compat_import_alias(self):
+ from factory.outer_loop.featurebench_evaluator import FeatureBenchEvaluator
+ ev = FeatureBenchEvaluator()
+ info = ev.get_info()
+ assert "benchmark" in info
+
+
+class TestE2ESWEBench:
+ """E2E test 2: SWE-bench with exit_code format."""
+
+ def test_swebench_config_loads(self):
+ config = load_benchmark_config("swebench")
+ assert config.test_format == "exit_code"
+ assert config.instance_format == "git-repo"
+ assert "{instance_id}" in config.prep_command
+ assert "{instance_dir}" in config.prep_command
+
+ def test_swebench_evaluator(self):
+ ev = get_evaluator("exit_code")
+ assert isinstance(ev, ExitCodeEvaluator)
+ info = ev.get_info()
+ assert info["test_format"] == "exit_code"
+ assert info["scoring"] == "binary"
+
+ def test_swebench_swarm_config(self):
+ config = SwarmConfig(
+ benchmark="swebench",
+ budget=10,
+ test_format="exit_code",
+ instance_format="git-repo",
+ )
+ assert config.test_format == "exit_code"
+
+ def test_swebench_full_parse_flow(self, tmp_path: Path):
+ """Full flow: mock subprocess returncode → exit_code parse → binary score."""
+ for rc, expected in [(0, 1.0), (1, 0.0), (2, 0.0)]:
+ artifact = tmp_path / f"result_{rc}.json"
+ artifact.write_text(json.dumps({"returncode": rc}))
+ ev = get_evaluator("exit_code")
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == expected
+
+ def test_swebench_inner_loop_exit_code_parsing(self, tmp_path: Path):
+ """Test InnerLoop._parse_test_output with exit_code format."""
+ loop = InnerLoop(
+ project_dir=tmp_path,
+ test_command="true",
+ test_format="exit_code",
+ )
+ mock_result = subprocess.CompletedProcess(
+ args=["true"], returncode=0, stdout="", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 1.0
+ assert details["test_format"] == "exit_code"
+
+ mock_fail = subprocess.CompletedProcess(
+ args=["false"], returncode=1, stdout="", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_fail)
+ assert score == 0.0
+
+
+class TestInnerLoopExactMatch:
+ """Tests for InnerLoop._parse_test_output with exact_match format."""
+
+ def test_exact_match_reads_expected_answer_file(self, tmp_path: Path):
+ (tmp_path / "expected_answer.txt").write_text("42\n")
+ loop = InnerLoop(project_dir=tmp_path, test_command="echo 42", test_format="exact_match")
+ mock_result = subprocess.CompletedProcess(
+ args=["echo", "42"], returncode=0, stdout="42\n", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 1.0
+ assert details["test_format"] == "exact_match"
+
+ def test_exact_match_falls_back_to_expected_txt(self, tmp_path: Path):
+ (tmp_path / "expected.txt").write_text("hello\n")
+ loop = InnerLoop(project_dir=tmp_path, test_command="echo hello", test_format="exact_match")
+ mock_result = subprocess.CompletedProcess(
+ args=["echo", "hello"], returncode=0, stdout="hello\n", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 1.0
+
+ def test_exact_match_mismatch(self, tmp_path: Path):
+ (tmp_path / "expected_answer.txt").write_text("42\n")
+ loop = InnerLoop(project_dir=tmp_path, test_command="echo wrong", test_format="exact_match")
+ mock_result = subprocess.CompletedProcess(
+ args=["echo", "wrong"], returncode=0, stdout="wrong\n", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 0.0
+
+ def test_exact_match_missing_file(self, tmp_path: Path):
+ loop = InnerLoop(project_dir=tmp_path, test_command="echo 42", test_format="exact_match")
+ mock_result = subprocess.CompletedProcess(
+ args=["echo", "42"], returncode=0, stdout="42\n", stderr=""
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 0.0
+ assert details["error"] == "expected_answer_file_missing"
+
+
+class TestE2ECustomBenchmark:
+ """E2E test 3: Custom user-defined benchmark with JSON format.
+
+ Demonstrates the full flow: TOML config → prep → evaluate → score.
+ This uses a user-defined benchmark that isn't built-in.
+ """
+
+ @pytest.fixture()
+ def custom_benchmark_project(self, tmp_path: Path) -> Path:
+ """Set up a custom benchmark with TOML config and test script."""
+ project = tmp_path / "my_project"
+ project.mkdir()
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+
+ bench_dir = factory_dir / "benchmarks"
+ bench_dir.mkdir()
+ (bench_dir / "my_ml_eval.toml").write_text(
+ '[meta]\n'
+ 'name = "my_ml_eval"\n'
+ 'description = "Custom ML evaluation benchmark"\n\n'
+ '[test]\n'
+ 'format = "json"\n'
+ 'command = "python eval_runner.py"\n'
+ 'metric_path = "accuracy"\n'
+ 'timeout = 120\n\n'
+ '[instances]\n'
+ 'format = "directory"\n'
+ 'prep_command = "mkdir -p {instance_dir}/data"\n\n'
+ '[scoring]\n'
+ 'method = "metric_extraction"\n'
+ )
+
+ eval_script = project / "eval_runner.py"
+ eval_script.write_text(
+ 'import json\n'
+ 'print(json.dumps({"accuracy": 0.92, "loss": 0.08, "epochs": 10}))\n'
+ )
+
+ return project
+
+ def test_custom_config_loads(self, custom_benchmark_project: Path):
+ config = load_benchmark_config("my_ml_eval", custom_benchmark_project)
+ assert config.name == "my_ml_eval"
+ assert config.test_format == "json"
+ assert config.test_command == "python eval_runner.py"
+ assert config.metric_path == "accuracy"
+ assert config.instance_format == "directory"
+
+ def test_custom_evaluator_creation(self, custom_benchmark_project: Path):
+ config = load_benchmark_config("my_ml_eval", custom_benchmark_project)
+ ev = get_evaluator(config.test_format, metric_path=config.metric_path)
+ assert isinstance(ev, JSONEvaluator)
+ assert ev.metric_path == "accuracy"
+
+ def test_custom_instance_prep(self, custom_benchmark_project: Path):
+ config = load_benchmark_config("my_ml_eval", custom_benchmark_project)
+ output = custom_benchmark_project / "instances"
+ prepared = prepare_instances(config, ["exp1", "exp2", "exp3"], output)
+ assert len(prepared) == 3
+ for p in prepared:
+ assert (p / "data").is_dir()
+
+ def test_custom_full_flow(self, custom_benchmark_project: Path):
+ """Full E2E: config → evaluator → parse artifacts → score."""
+ config = load_benchmark_config("my_ml_eval", custom_benchmark_project)
+
+ ev = get_evaluator(config.test_format, metric_path=config.metric_path)
+
+ artifact = custom_benchmark_project / "result.json"
+ artifact.write_text(json.dumps({
+ "accuracy": 0.92,
+ "loss": 0.08,
+ "epochs": 10,
+ }))
+
+ result = ev.parse(artifact)
+ assert result.valid
+ assert result.score == 0.92
+ assert "accuracy" in result.metrics
+
+ def test_custom_swarm_config_integration(self, custom_benchmark_project: Path):
+ """SwarmConfig populated from custom benchmark config."""
+ bench = load_benchmark_config("my_ml_eval", custom_benchmark_project)
+ swarm = SwarmConfig(
+ benchmark="my_ml_eval",
+ budget=10,
+ test_format=bench.test_format,
+ seed_workflow=bench.seed_workflow,
+ instance_format=bench.instance_format,
+ prep_command=bench.prep_command,
+ test_command=bench.test_command,
+ )
+ assert swarm.test_format == "json"
+ assert swarm.test_command == "python eval_runner.py"
+ assert swarm.instance_format == "directory"
+
+ def test_custom_inner_loop_json_parsing(self, custom_benchmark_project: Path):
+ """InnerLoop._parse_test_output with json format and custom metric_path."""
+ loop = InnerLoop(
+ project_dir=custom_benchmark_project,
+ test_command="python eval_runner.py",
+ test_format="json",
+ metric_path="accuracy",
+ )
+ mock_result = subprocess.CompletedProcess(
+ args=["python", "eval_runner.py"],
+ returncode=0,
+ stdout=json.dumps({"accuracy": 0.92, "loss": 0.08}),
+ stderr="",
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 0.92
+ assert details["test_format"] == "json"
+
+ def test_custom_inner_loop_json_with_score_key(self, custom_benchmark_project: Path):
+ """InnerLoop._parse_test_output extracts 'score' or 'pass_rate' from JSON."""
+ loop = InnerLoop(
+ project_dir=custom_benchmark_project,
+ test_command="echo",
+ test_format="json",
+ )
+ mock_result = subprocess.CompletedProcess(
+ args=["echo"],
+ returncode=0,
+ stdout=json.dumps({"score": 0.85, "details": "ok"}),
+ stderr="",
+ )
+ score, details = loop._parse_test_output(mock_result)
+ assert score == 0.85
+
+ def test_custom_list_includes_user_benchmark(self, custom_benchmark_project: Path):
+ """list_benchmarks() discovers user-defined benchmarks."""
+ configs = list_benchmarks(custom_benchmark_project)
+ names = {c.name for c in configs}
+ assert "my_ml_eval" in names
+ assert "featurebench" in names
+
+
+# ---------------------------------------------------------------------------
+# Cross-benchmark integration tests
+# ---------------------------------------------------------------------------
+
+
+class TestCrossBenchmarkIntegration:
+ def test_all_built_in_configs_are_parseable(self):
+ configs = list_benchmarks()
+ for config in configs:
+ ev = get_evaluator(config.test_format)
+ info = ev.get_info()
+ assert "test_format" in info or "benchmark" in info
+
+ def test_get_info_all_formats(self):
+ for fmt in list_formats():
+ ev = get_evaluator(fmt)
+ info = ev.get_info()
+ assert isinstance(info, dict)
+
+ def test_swarm_config_accepts_all_formats(self):
+ for fmt in list_formats():
+ config = SwarmConfig(
+ benchmark="test",
+ budget=5,
+ test_format=fmt,
+ )
+ assert config.test_format == fmt
diff --git a/tests/test_outer_loop/test_mutations.py b/tests/test_outer_loop/test_mutations.py
new file mode 100644
index 000000000..9d0357d6e
--- /dev/null
+++ b/tests/test_outer_loop/test_mutations.py
@@ -0,0 +1,250 @@
+"""Tests for mutation operators and MutationStrategy."""
+
+from __future__ import annotations
+
+
+from factory.outer_loop.models import MutationType
+from factory.outer_loop.mutations import (
+ MutationStrategy,
+ WeightedRandomStrategy,
+ apply_random_mutation,
+ insert_node,
+ mutate_params,
+ parallelize,
+ redirect_edge,
+ remove_node,
+ serialize,
+ validate_and_repair,
+)
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ Workflow,
+)
+
+
+class TestInsertNode:
+ def test_insert_between_nodes(self, simple_workflow: Workflow) -> None:
+ new_node = AgentNode(id="reviewer", role=AgentRole.CODE_REVIEWER)
+ result = insert_node(simple_workflow, new_node, "strategist")
+ assert result is not None
+ wf, rec = result
+ assert "reviewer" in wf.nodes
+ assert rec.operator == MutationType.NODE_INSERT
+
+ def test_insert_respects_frozen(self, simple_workflow: Workflow) -> None:
+ new_node = AgentNode(id="new", role=AgentRole.RESEARCHER)
+ result = insert_node(
+ simple_workflow, new_node, "researcher", frozen_nodes={"researcher"}
+ )
+ assert result is None
+
+ def test_insert_after_nonexistent(self, simple_workflow: Workflow) -> None:
+ new_node = AgentNode(id="new", role=AgentRole.RESEARCHER)
+ result = insert_node(simple_workflow, new_node, "nonexistent")
+ assert result is None
+
+
+class TestRemoveNode:
+ def test_remove_middle_node(self, simple_workflow: Workflow) -> None:
+ result = remove_node(simple_workflow, "strategist")
+ assert result is not None
+ wf, rec = result
+ assert "strategist" not in wf.nodes
+ assert rec.operator == MutationType.NODE_REMOVE
+ has_edge = any(
+ e.source == "researcher" and e.target == "builder" for e in wf.edges
+ )
+ assert has_edge
+
+ def test_remove_start_node_fails(self, simple_workflow: Workflow) -> None:
+ result = remove_node(simple_workflow, "study")
+ assert result is None
+
+ def test_remove_frozen_fails(self, simple_workflow: Workflow) -> None:
+ result = remove_node(simple_workflow, "builder", frozen_nodes={"builder"})
+ assert result is None
+
+
+class TestRedirectEdge:
+ def test_redirect_edge(self, simple_workflow: Workflow) -> None:
+ result = redirect_edge(simple_workflow, "researcher", "strategist", "builder")
+ assert result is not None
+ wf, rec = result
+ assert rec.operator == MutationType.EDGE_REDIRECT
+ has_new = any(
+ e.source == "researcher" and e.target == "builder" for e in wf.edges
+ )
+ assert has_new
+
+ def test_redirect_nonexistent_target(self, simple_workflow: Workflow) -> None:
+ result = redirect_edge(simple_workflow, "researcher", "strategist", "nonexistent")
+ assert result is None
+
+ def test_redirect_frozen_source(self, simple_workflow: Workflow) -> None:
+ result = redirect_edge(
+ simple_workflow, "researcher", "strategist", "builder",
+ frozen_nodes={"researcher"},
+ )
+ assert result is None
+
+
+class TestParallelize:
+ def test_parallelize_two_nodes(self, simple_workflow: Workflow) -> None:
+ result = parallelize(simple_workflow, ["researcher", "strategist"])
+ assert result is not None
+ wf, rec = result
+ assert rec.operator == MutationType.PARALLELIZE
+ fork_nodes = [nid for nid, n in wf.nodes.items() if type(n).__name__ == "ForkNode"]
+ join_nodes = [nid for nid, n in wf.nodes.items() if type(n).__name__ == "JoinNode"]
+ assert len(fork_nodes) >= 1
+ assert len(join_nodes) >= 1
+
+ def test_parallelize_single_node_fails(self, simple_workflow: Workflow) -> None:
+ result = parallelize(simple_workflow, ["researcher"])
+ assert result is None
+
+ def test_parallelize_frozen_fails(self, simple_workflow: Workflow) -> None:
+ result = parallelize(
+ simple_workflow, ["researcher", "strategist"],
+ frozen_nodes={"researcher"},
+ )
+ assert result is None
+
+
+class TestSerialize:
+ def test_serialize_reverses_parallelize(self, simple_workflow: Workflow) -> None:
+ par_result = parallelize(simple_workflow, ["researcher", "strategist"])
+ assert par_result is not None
+ wf_par, _ = par_result
+
+ fork_ids = [nid for nid, n in wf_par.nodes.items() if type(n).__name__ == "ForkNode"]
+ assert len(fork_ids) >= 1
+
+ ser_result = serialize(wf_par, fork_ids[0])
+ assert ser_result is not None
+ wf_ser, rec = ser_result
+ assert rec.operator == MutationType.SERIALIZE
+ assert not any(type(n).__name__ == "ForkNode" for n in wf_ser.nodes.values())
+
+ def test_serialize_nonexistent_fails(self, simple_workflow: Workflow) -> None:
+ result = serialize(simple_workflow, "nonexistent")
+ assert result is None
+
+ def test_serialize_non_fork_fails(self, simple_workflow: Workflow) -> None:
+ result = serialize(simple_workflow, "researcher")
+ assert result is None
+
+
+class TestMutateParams:
+ def test_change_timeout(self, simple_workflow: Workflow) -> None:
+ result = mutate_params(simple_workflow, "researcher", {"timeout": 1200})
+ assert result is not None
+ wf, rec = result
+ assert rec.operator == MutationType.PARAM_MUTATE
+ node = wf.nodes["researcher"]
+ assert hasattr(node, "timeout")
+ assert node.timeout == 1200 # type: ignore[union-attr]
+
+ def test_change_model(self, simple_workflow: Workflow) -> None:
+ result = mutate_params(simple_workflow, "researcher", {"model": "opus"})
+ assert result is not None
+ wf, _ = result
+ assert wf.nodes["researcher"].model == "opus" # type: ignore[union-attr]
+
+ def test_disallowed_param_ignored(self, simple_workflow: Workflow) -> None:
+ result = mutate_params(simple_workflow, "researcher", {"role": "builder"})
+ assert result is None
+
+ def test_frozen_fails(self, simple_workflow: Workflow) -> None:
+ result = mutate_params(
+ simple_workflow, "researcher", {"timeout": 900},
+ frozen_nodes={"researcher"},
+ )
+ assert result is None
+
+
+class TestValidateAndRepair:
+ def test_valid_workflow_passes(self, simple_workflow: Workflow) -> None:
+ result = validate_and_repair(simple_workflow)
+ assert result is not None
+
+ def test_prunes_unreachable(self) -> None:
+ nodes = {
+ "start": FnNode(id="start", command="echo start"),
+ "reachable": FnNode(id="reachable", command="echo r"),
+ "orphan": FnNode(id="orphan", command="echo orphan"),
+ }
+ edges = [Edge(source="start", target="reachable")]
+ wf = Workflow(name="test", nodes=nodes, edges=edges, start_node="start")
+ result = validate_and_repair(wf)
+ assert result is not None
+ assert "orphan" not in result.nodes
+
+ def test_cycle_without_gate_returns_none(self) -> None:
+ nodes = {
+ "a": FnNode(id="a", command="echo a"),
+ "b": FnNode(id="b", command="echo b"),
+ }
+ edges = [
+ Edge(source="a", target="b"),
+ Edge(source="b", target="a"),
+ ]
+ wf = Workflow(name="test", nodes=nodes, edges=edges, start_node="a")
+ result = validate_and_repair(wf)
+ assert result is None
+
+
+class TestWeightedRandomStrategy:
+ def test_implements_protocol(self) -> None:
+ strategy = WeightedRandomStrategy()
+ assert isinstance(strategy, MutationStrategy)
+
+ def test_select_operator_returns_valid(self, simple_workflow: Workflow) -> None:
+ strategy = WeightedRandomStrategy()
+ op = strategy.select_operator(simple_workflow, 0, {})
+ assert isinstance(op, MutationType)
+
+ def test_mutation_rate(self) -> None:
+ strategy = WeightedRandomStrategy(mutation_rate=0.5)
+ assert strategy.get_mutation_rate(0) == 0.5
+ assert strategy.get_mutation_rate(10) == 0.5
+
+ def test_designer_ratio(self) -> None:
+ strategy = WeightedRandomStrategy(designer_ratio=0.4)
+ assert strategy.get_designer_ratio(0) == 0.4
+
+ def test_operator_weights(self) -> None:
+ weights = {t.value: (1.0 if t == MutationType.NODE_INSERT else 0.0) for t in MutationType}
+ strategy = WeightedRandomStrategy(weights=weights)
+ ops = [strategy.select_operator(Workflow(
+ name="dummy",
+ nodes={"a": FnNode(id="a", command="x")},
+ edges=[],
+ start_node="a",
+ ), 0, {}) for _ in range(20)]
+ assert all(op == MutationType.NODE_INSERT for op in ops)
+
+
+class TestApplyRandomMutation:
+ def test_produces_valid_result(self, simple_workflow: Workflow) -> None:
+ strategy = WeightedRandomStrategy()
+ result = apply_random_mutation(
+ simple_workflow, strategy, generation=0, max_attempts=20,
+ )
+ if result is not None:
+ wf, rec = result
+ assert isinstance(rec.operator, MutationType)
+ assert wf.start_node in wf.nodes
+
+ def test_with_frozen_nodes(self, simple_workflow: Workflow) -> None:
+ strategy = WeightedRandomStrategy()
+ all_nodes = set(simple_workflow.nodes.keys())
+ result = apply_random_mutation(
+ simple_workflow, strategy, generation=0,
+ frozen_nodes=all_nodes,
+ max_attempts=5,
+ )
+ assert result is None
diff --git a/tests/test_outer_loop/test_overfit.py b/tests/test_outer_loop/test_overfit.py
new file mode 100644
index 000000000..d13cc66a4
--- /dev/null
+++ b/tests/test_outer_loop/test_overfit.py
@@ -0,0 +1,140 @@
+"""Tests for OverfitDetector."""
+
+from __future__ import annotations
+
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.outer_loop.overfit import OverfitDetector
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ Workflow,
+)
+
+
+def _make_config() -> SwarmConfig:
+ return SwarmConfig(
+ benchmark="test",
+ budget=50,
+ training_instances=["t1", "t2"],
+ holdout_instances=["h1"],
+ )
+
+
+def _make_workflow() -> Workflow:
+ return Workflow(
+ name="test",
+ nodes={
+ "a": FnNode(id="a", command="echo a"),
+ "b": AgentNode(id="b", role=AgentRole.BUILDER),
+ },
+ edges=[Edge(source="a", target="b")],
+ start_node="a",
+ )
+
+
+class TestOverfitDetector:
+ def test_no_overfit(self) -> None:
+ config = _make_config()
+ scores = {"t1": 0.8, "t2": 0.8, "h1": 0.75}
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ avg = sum(scores.get(i, 0.0) for i in instances) / max(len(instances), 1)
+ return EvalResult(score=avg, benchmark_score=avg, hygiene_score=0.8)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ detector = OverfitDetector(threshold=0.15)
+
+ wf = _make_workflow()
+ result = detector.audit(wf, ["t1", "t2"], ["h1"], evaluator, "/tmp")
+
+ assert not result.overfit_flag
+ assert result.training_score > 0
+ assert result.holdout_score > 0
+ assert result.delta < 0.15
+
+ def test_overfit_detected(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ if "h1" in instances:
+ return EvalResult(score=0.5, benchmark_score=0.5, hygiene_score=0.5)
+ return EvalResult(score=0.9, benchmark_score=0.9, hygiene_score=0.9)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ detector = OverfitDetector(threshold=0.15)
+
+ wf = _make_workflow()
+ result = detector.audit(wf, ["t1", "t2"], ["h1"], evaluator, "/tmp")
+
+ assert result.overfit_flag
+ assert result.delta > 0.15
+
+ def test_equal_scores(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.7, benchmark_score=0.7, hygiene_score=0.7)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ detector = OverfitDetector()
+
+ wf = _make_workflow()
+ result = detector.audit(wf, ["t1"], ["h1"], evaluator, "/tmp")
+
+ assert not result.overfit_flag
+ assert result.delta == 0.0
+
+ def test_zero_training_score(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.0, benchmark_score=0.0)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ detector = OverfitDetector()
+
+ wf = _make_workflow()
+ result = detector.audit(wf, ["t1"], ["h1"], evaluator, "/tmp")
+
+ assert not result.overfit_flag
+ assert result.delta == 0.0
+
+ def test_custom_threshold(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ if "h1" in instances:
+ # Composite: 0.6*0.9 + 0.2*1.0 + 0.1 + 0.1 = 0.94
+ return EvalResult(score=0.0, benchmark_score=0.9, hygiene_score=1.0)
+ # Composite: 0.6*1.0 + 0.2*1.0 + 0.1 + 0.1 = 1.0
+ return EvalResult(score=0.0, benchmark_score=1.0, hygiene_score=1.0)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ # Delta = (1.0 - 0.94) / 1.0 = 0.06 → passes at 0.15, fails at 0.05
+ detector_strict = OverfitDetector(threshold=0.05)
+ detector_loose = OverfitDetector(threshold=0.15)
+
+ wf = _make_workflow()
+ strict_result = detector_strict.audit(wf, ["t1"], ["h1"], evaluator, "/tmp")
+ loose_result = detector_loose.audit(wf, ["t1"], ["h1"], evaluator, "/tmp")
+
+ assert strict_result.overfit_flag
+ assert not loose_result.overfit_flag
+
+ def test_details_populated(self) -> None:
+ config = _make_config()
+
+ def mock_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(score=0.8, benchmark_score=0.8)
+
+ evaluator = SwarmEvaluator(config, evaluator_fn=mock_eval)
+ detector = OverfitDetector()
+ wf = _make_workflow()
+ result = detector.audit(wf, ["t1"], ["h1"], evaluator, "/tmp")
+
+ assert "training=" in result.details
+ assert "holdout=" in result.details
+ assert "delta=" in result.details
diff --git a/tests/test_outer_loop/test_population.py b/tests/test_outer_loop/test_population.py
new file mode 100644
index 000000000..f0e36ffb9
--- /dev/null
+++ b/tests/test_outer_loop/test_population.py
@@ -0,0 +1,177 @@
+"""Tests for Population and MAPElitesArchive."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from factory.outer_loop.models import Individual
+from factory.outer_loop.population import MAPElitesArchive, Population
+from factory.workflow.primitives import Workflow
+
+
+class TestPopulation:
+ def test_add_and_size(self) -> None:
+ pop = Population()
+ assert pop.size == 0
+ ind = Individual(id="a", workflow_data={"name": "w"}, score=0.5, features=(1, 0, 2, 1))
+ pop.add(ind)
+ assert pop.size == 1
+
+ def test_remove(self) -> None:
+ pop = Population()
+ ind = Individual(id="a", workflow_data={"name": "w"}, score=0.5, features=(1, 0, 2, 1))
+ pop.add(ind)
+ removed = pop.remove("a")
+ assert removed is not None
+ assert pop.size == 0
+ assert pop.remove("nonexistent") is None
+
+ def test_get(self) -> None:
+ pop = Population()
+ ind = Individual(id="a", workflow_data={"name": "w"}, score=0.5, features=(1, 0, 2, 1))
+ pop.add(ind)
+ assert pop.get("a") is not None
+ assert pop.get("b") is None
+
+ def test_best(self) -> None:
+ pop = Population()
+ assert pop.best() is None
+ pop.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ pop.add(Individual(id="b", workflow_data={}, score=0.9, features=(2, 1, 3, 2)))
+ pop.add(Individual(id="c", workflow_data={}, score=0.7, features=(1, 1, 2, 1)))
+ best = pop.best()
+ assert best is not None
+ assert best.id == "b"
+
+ def test_mean_score(self) -> None:
+ pop = Population()
+ assert pop.mean_score() == 0.0
+ pop.add(Individual(id="a", workflow_data={}, score=0.4, features=()))
+ pop.add(Individual(id="b", workflow_data={}, score=0.8, features=()))
+ assert pop.mean_score() == pytest.approx(0.6)
+
+ def test_individuals_list(self) -> None:
+ pop = Population()
+ pop.add(Individual(id="a", workflow_data={}, score=0.5, features=()))
+ pop.add(Individual(id="b", workflow_data={}, score=0.7, features=()))
+ assert len(pop.individuals) == 2
+
+ def test_make_individual(self, simple_workflow: Workflow) -> None:
+ ind = Population.make_individual(simple_workflow, generation=1, score=0.8)
+ assert ind.generation == 1
+ assert ind.score == 0.8
+ assert len(ind.features) == 4
+ assert ind.parent_id is None
+
+ def test_serialization_round_trip(self, simple_workflow: Workflow, tmp_path: Path) -> None:
+ pop = Population()
+ ind = Population.make_individual(simple_workflow, generation=0, score=0.7)
+ pop.add(ind)
+
+ pop.save(tmp_path / "pop")
+ loaded = Population.load(tmp_path / "pop")
+
+ assert loaded.size == 1
+ loaded_ind = loaded.individuals[0]
+ assert loaded_ind.id == ind.id
+ assert loaded_ind.score == ind.score
+
+
+class TestMAPElitesArchive:
+ def test_add_and_size(self) -> None:
+ archive = MAPElitesArchive()
+ assert archive.size == 0
+ ind = Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1))
+ assert archive.add(ind) is True
+ assert archive.size == 1
+
+ def test_add_replaces_lower_score(self) -> None:
+ archive = MAPElitesArchive()
+ ind1 = Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1))
+ ind2 = Individual(id="b", workflow_data={}, score=0.9, features=(1, 0, 2, 1))
+ archive.add(ind1)
+ assert archive.add(ind2) is True
+ assert archive.size == 1
+ assert archive.best().id == "b" # type: ignore[union-attr]
+
+ def test_add_keeps_higher_score(self) -> None:
+ archive = MAPElitesArchive()
+ ind1 = Individual(id="a", workflow_data={}, score=0.9, features=(1, 0, 2, 1))
+ ind2 = Individual(id="b", workflow_data={}, score=0.5, features=(1, 0, 2, 1))
+ archive.add(ind1)
+ assert archive.add(ind2) is False
+ assert archive.best().id == "a" # type: ignore[union-attr]
+
+ def test_best_empty(self) -> None:
+ assert MAPElitesArchive().best() is None
+
+ def test_best(self) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ archive.add(Individual(id="b", workflow_data={}, score=0.9, features=(2, 1, 3, 2)))
+ best = archive.best()
+ assert best is not None
+ assert best.id == "b"
+
+ def test_sample_parent_returns_something(self) -> None:
+ archive = MAPElitesArchive()
+ assert archive.sample_parent() is None
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ result = archive.sample_parent(tournament_size=1)
+ assert result is not None
+ assert result.id == "a"
+
+ def test_tournament_selection(self) -> None:
+ archive = MAPElitesArchive()
+ for i in range(10):
+ archive.add(
+ Individual(id=f"i{i}", workflow_data={}, score=i * 0.1, features=(i, 0, i, 0))
+ )
+ results = [archive.sample_parent(tournament_size=3) for _ in range(20)]
+ scores = [r.score for r in results if r is not None]
+ assert all(s >= 0.0 for s in scores)
+
+ def test_pareto_front_single(self) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ front = archive.pareto_front()
+ assert len(front) == 1
+
+ def test_pareto_front_dominated(self) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ archive.add(Individual(id="b", workflow_data={}, score=0.9, features=(2, 1, 3, 2)))
+ front = archive.pareto_front()
+ assert len(front) == 1
+ assert front[0].id == "b"
+
+ def test_pareto_front_non_dominated(self) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.9, features=(1, 0, 5, 0)))
+ archive.add(Individual(id="b", workflow_data={}, score=0.5, features=(5, 3, 1, 3)))
+ front = archive.pareto_front()
+ assert len(front) == 2
+
+ def test_diversity_metric_empty(self) -> None:
+ assert MAPElitesArchive().diversity_metric() == 0.0
+
+ def test_diversity_metric_nonzero(self) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ archive.add(Individual(id="b", workflow_data={}, score=0.7, features=(2, 1, 3, 2)))
+ d = archive.diversity_metric()
+ assert 0.0 < d <= 1.0
+
+ def test_serialization_round_trip(self, tmp_path: Path) -> None:
+ archive = MAPElitesArchive()
+ archive.add(Individual(id="a", workflow_data={}, score=0.5, features=(1, 0, 2, 1)))
+ archive.add(Individual(id="b", workflow_data={}, score=0.9, features=(2, 1, 3, 2)))
+
+ archive.save(tmp_path / "archive")
+ loaded = MAPElitesArchive.load(tmp_path / "archive")
+
+ assert loaded.size == 2
+ assert loaded.best() is not None
+ assert loaded.best().id == "b" # type: ignore[union-attr]
diff --git a/tests/test_outer_loop/test_reflector.py b/tests/test_outer_loop/test_reflector.py
new file mode 100644
index 000000000..07df798a5
--- /dev/null
+++ b/tests/test_outer_loop/test_reflector.py
@@ -0,0 +1,136 @@
+"""Tests for OuterLoopReflector contrastive reflection."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from factory.cycle_analyzer import AgentStep, CycleRecord
+from factory.outer_loop.reflector import OuterLoopReflector
+
+
+def _make_record(
+ score: float,
+ steps: list[AgentStep] | None = None,
+ kept: int = 0,
+ reverted: int = 0,
+ errored: int = 0,
+) -> CycleRecord:
+ return CycleRecord(
+ cycle_number=1,
+ mode="test",
+ started_at=None,
+ ended_at=None,
+ duration_s=10.0,
+ score_start=0.0,
+ score_end=score,
+ score_delta=score,
+ steps=steps or [],
+ kept=kept,
+ reverted=reverted,
+ errored=errored,
+ )
+
+
+def _make_step(role: str, succeeded: bool = True, error: str | None = None, duration: float = 10.0) -> AgentStep:
+ return AgentStep(
+ order=0,
+ role=role,
+ started_at="2024-01-01T00:00:00",
+ duration_s=duration,
+ cost_usd=0.1,
+ output_tokens=100,
+ succeeded=succeeded,
+ error=error,
+ )
+
+
+class TestOuterLoopReflector:
+ def test_basic_reflection(self) -> None:
+ reflector = OuterLoopReflector(k=1)
+
+ records = [
+ ("winner1", 0.9, _make_record(0.9, [_make_step("builder"), _make_step("researcher")], kept=2)),
+ ("loser1", 0.1, _make_record(0.1, [_make_step("builder", succeeded=False, error="timeout")], errored=1)),
+ ]
+
+ report = reflector.reflect(records, generation=0)
+
+ assert len(report.failure_patterns) > 0
+ assert len(report.success_patterns) > 0
+ assert report.top_k_ids == ["winner1"]
+ assert report.bottom_k_ids == ["loser1"]
+
+ def test_mutation_suggestions_from_role_diff(self) -> None:
+ reflector = OuterLoopReflector(k=1)
+
+ records = [
+ ("w1", 0.8, _make_record(0.8, [_make_step("researcher"), _make_step("builder")], kept=1)),
+ ("l1", 0.2, _make_record(0.2, [_make_step("builder")], reverted=1)),
+ ]
+
+ report = reflector.reflect(records, generation=0)
+
+ role_suggestions = [s for s in report.mutation_suggestions if "researcher" in s.lower()]
+ assert len(role_suggestions) > 0
+
+ def test_insufficient_data(self) -> None:
+ reflector = OuterLoopReflector(k=1)
+ records = [("only1", 0.5, _make_record(0.5))]
+ report = reflector.reflect(records, generation=0)
+
+ assert len(report.failure_patterns) == 0
+ assert len(report.success_patterns) == 0
+
+ def test_none_records_filtered(self) -> None:
+ reflector = OuterLoopReflector(k=1)
+
+ records = [
+ ("w1", 0.8, _make_record(0.8, [_make_step("builder")], kept=1)),
+ ("n1", 0.5, None),
+ ("l1", 0.2, _make_record(0.2, [_make_step("builder", succeeded=False)], errored=1)),
+ ]
+
+ report = reflector.reflect(records, generation=0)
+ assert len(report.top_k_ids) == 1
+ assert len(report.bottom_k_ids) == 1
+
+ def test_save_report(self, tmp_path: Path) -> None:
+ reflector = OuterLoopReflector(k=1, project_dir=tmp_path)
+
+ records = [
+ ("w1", 0.8, _make_record(0.8, [_make_step("builder")], kept=1)),
+ ("l1", 0.2, _make_record(0.2, [], errored=1)),
+ ]
+
+ reflector.reflect(records, generation=3)
+
+ json_path = tmp_path / ".factory" / "outer_loop" / "reflections" / "gen3.json"
+ md_path = tmp_path / ".factory" / "outer_loop" / "reflections" / "gen3.md"
+ assert json_path.exists()
+ assert md_path.exists()
+
+ def test_structural_recommendations_timeout(self) -> None:
+ reflector = OuterLoopReflector(k=1)
+
+ records = [
+ ("w1", 0.9, _make_record(0.9, [_make_step("builder")], kept=1)),
+ ("l1", 0.1, _make_record(0.1, [_make_step("builder", succeeded=False, duration=600.0)])),
+ ]
+
+ report = reflector.reflect(records, generation=0)
+ timeout_recs = [r for r in report.structural_recommendations if "timeout" in r.lower()]
+ assert len(timeout_recs) > 0
+
+ def test_multiple_winners_losers(self) -> None:
+ reflector = OuterLoopReflector(k=2)
+
+ records = [
+ ("w1", 0.9, _make_record(0.9, [_make_step("builder")], kept=2)),
+ ("w2", 0.85, _make_record(0.85, [_make_step("builder"), _make_step("researcher")], kept=1)),
+ ("l1", 0.2, _make_record(0.2, [], errored=1)),
+ ("l2", 0.1, _make_record(0.1, [_make_step("builder", succeeded=False)], reverted=2)),
+ ]
+
+ report = reflector.reflect(records, generation=0)
+ assert len(report.top_k_ids) == 2
+ assert len(report.bottom_k_ids) == 2
diff --git a/tests/test_outer_loop/test_seed_diversity.py b/tests/test_outer_loop/test_seed_diversity.py
new file mode 100644
index 000000000..6a7fa69ae
--- /dev/null
+++ b/tests/test_outer_loop/test_seed_diversity.py
@@ -0,0 +1,146 @@
+"""Tests for seed population diversity with designer-created variants."""
+
+from __future__ import annotations
+
+from factory.outer_loop.designer import DesignerAgent
+from factory.outer_loop.engine import SwarmEngine
+from factory.outer_loop.evaluator import SwarmEvaluator
+from factory.outer_loop.models import EvalResult, SwarmConfig
+from factory.outer_loop.similarity import NoveltyFilter, compute_features
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ VerdictType,
+ Workflow,
+)
+
+
+def _make_config(**overrides: object) -> SwarmConfig:
+ defaults: dict[str, object] = {
+ "benchmark": "test_bench",
+ "budget": 50,
+ "population_size": 6,
+ "tournament_size": 2,
+ "mutation_rate": 0.3,
+ "training_instances": ["t1", "t2"],
+ "holdout_instances": ["h1"],
+ "designer_count": 2,
+ }
+ defaults.update(overrides)
+ return SwarmConfig(**defaults) # type: ignore[arg-type]
+
+
+def _make_base_workflow() -> Workflow:
+ return Workflow(
+ name="seed_base",
+ nodes={
+ "study": FnNode(
+ id="study", command="factory study", writes={".factory/obs.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ reads={".factory/obs.md"}, writes={".factory/research.md"},
+ ),
+ "strategist": AgentNode(
+ id="strategist", role=AgentRole.STRATEGIST,
+ reads={".factory/research.md"}, writes={".factory/current.md"},
+ ),
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ reads={".factory/current.md"}, writes={".factory/build.md"},
+ ),
+ "gate": GateNode(
+ id="gate", evaluator_type="fn",
+ reads={".factory/build.md"},
+ ),
+ },
+ edges=[
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="strategist"),
+ Edge(source="strategist", target="builder"),
+ Edge(source="builder", target="gate"),
+ Edge(source="gate", target="builder", condition=VerdictType.RELOOP),
+ ],
+ start_node="study",
+ )
+
+
+def _make_noop_evaluator(config: SwarmConfig) -> SwarmEvaluator:
+ def noop_eval(wf: Workflow, project_dir: str, instances: list[str]) -> EvalResult:
+ return EvalResult(
+ score=0.5, benchmark_score=0.5, hygiene_score=0.5,
+ cost_usd=0.01, complexity=float(len(wf.nodes)),
+ )
+ return SwarmEvaluator(config, evaluator_fn=noop_eval)
+
+
+class TestSeedWithDesigner:
+ def test_seed_includes_designer_variants(self) -> None:
+ config = _make_config(population_size=6, designer_count=2)
+ evaluator = _make_noop_evaluator(config)
+ novelty = NoveltyFilter(min_edit_distance=1)
+ engine = SwarmEngine(config, evaluator, novelty_filter=novelty)
+ wf = _make_base_workflow()
+
+ pop = engine.seed(wf)
+
+ assert pop.size >= 3
+ originals = [i for i in pop.individuals if i.parent_id is None]
+ assert len(originals) >= 2
+
+ def test_feature_vectors_differ(self) -> None:
+ designer = DesignerAgent()
+ minimal = designer.design_minimal("test")
+ thorough = designer.design_thorough("test")
+
+ min_features = compute_features(minimal)
+ thor_features = compute_features(thorough)
+
+ assert min_features != thor_features
+ assert min_features[2] < thor_features[2]
+
+ def test_designer_count_zero_skips_designs(self) -> None:
+ config = _make_config(population_size=4, designer_count=0)
+ evaluator = _make_noop_evaluator(config)
+ engine = SwarmEngine(config, evaluator)
+ wf = _make_base_workflow()
+
+ pop = engine.seed(wf)
+
+ originals = [i for i in pop.individuals if i.parent_id is None]
+ assert len(originals) == 1
+
+ def test_designer_count_3_includes_custom(self) -> None:
+ config = _make_config(population_size=8, designer_count=3)
+ evaluator = _make_noop_evaluator(config)
+ novelty = NoveltyFilter(min_edit_distance=1)
+ engine = SwarmEngine(config, evaluator, novelty_filter=novelty)
+ wf = _make_base_workflow()
+
+ pop = engine.seed(wf)
+
+ originals = [i for i in pop.individuals if i.parent_id is None]
+ assert len(originals) >= 3
+
+ def test_minimal_has_fewer_nodes_than_thorough(self) -> None:
+ designer = DesignerAgent()
+ minimal = designer.design_minimal("test")
+ thorough = designer.design_thorough("test")
+
+ assert len(minimal.nodes) < len(thorough.nodes)
+
+ def test_minimal_has_fewer_agents_than_thorough(self) -> None:
+ designer = DesignerAgent()
+ minimal = designer.design_minimal("test")
+ thorough = designer.design_thorough("test")
+
+ min_agents = sum(
+ 1 for n in minimal.nodes.values() if type(n).__name__ == "AgentNode"
+ )
+ thor_agents = sum(
+ 1 for n in thorough.nodes.values() if type(n).__name__ == "AgentNode"
+ )
+ assert min_agents < thor_agents
diff --git a/tests/test_outer_loop/test_similarity.py b/tests/test_outer_loop/test_similarity.py
new file mode 100644
index 000000000..8463befa6
--- /dev/null
+++ b/tests/test_outer_loop/test_similarity.py
@@ -0,0 +1,183 @@
+"""Tests for structural hashing, GED, feature extraction, and novelty filtering."""
+
+from __future__ import annotations
+
+from factory.outer_loop.similarity import (
+ NoveltyFilter,
+ compute_features,
+ graph_edit_distance,
+ structural_hash,
+)
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ ForkNode,
+ GateNode,
+ JoinNode,
+ Workflow,
+)
+
+
+class TestStructuralHash:
+ def test_deterministic(self, simple_workflow: Workflow) -> None:
+ h1 = structural_hash(simple_workflow)
+ h2 = structural_hash(simple_workflow)
+ assert h1 == h2
+
+ def test_different_workflows_different_hash(self, simple_workflow: Workflow) -> None:
+ other = Workflow(
+ name="other",
+ nodes={"a": FnNode(id="a", command="echo a")},
+ edges=[],
+ start_node="a",
+ )
+ assert structural_hash(simple_workflow) != structural_hash(other)
+
+ def test_same_structure_same_hash(self) -> None:
+ nodes1 = {
+ "a": FnNode(id="a", command="echo a"),
+ "b": FnNode(id="b", command="echo b"),
+ }
+ edges1 = [Edge(source="a", target="b")]
+ wf1 = Workflow(name="w", nodes=nodes1, edges=edges1, start_node="a")
+
+ nodes2 = {
+ "a": FnNode(id="a", command="echo a"),
+ "b": FnNode(id="b", command="echo b"),
+ }
+ edges2 = [Edge(source="a", target="b")]
+ wf2 = Workflow(name="w", nodes=nodes2, edges=edges2, start_node="a")
+
+ assert structural_hash(wf1) == structural_hash(wf2)
+
+
+class TestGraphEditDistance:
+ def test_identical_workflows(self, simple_workflow: Workflow) -> None:
+ assert graph_edit_distance(simple_workflow, simple_workflow) == 0
+
+ def test_different_node_sets(self) -> None:
+ wf1 = Workflow(
+ name="w1",
+ nodes={
+ "a": FnNode(id="a", command="x"),
+ "b": FnNode(id="b", command="x"),
+ },
+ edges=[Edge(source="a", target="b")],
+ start_node="a",
+ )
+ wf2 = Workflow(
+ name="w2",
+ nodes={
+ "a": FnNode(id="a", command="x"),
+ "c": FnNode(id="c", command="x"),
+ },
+ edges=[Edge(source="a", target="c")],
+ start_node="a",
+ )
+ dist = graph_edit_distance(wf1, wf2)
+ assert dist >= 2
+
+ def test_type_change_adds_distance(self) -> None:
+ wf1 = Workflow(
+ name="w",
+ nodes={"a": FnNode(id="a", command="x")},
+ edges=[],
+ start_node="a",
+ )
+ wf2 = Workflow(
+ name="w",
+ nodes={"a": AgentNode(id="a", role=AgentRole.RESEARCHER)},
+ edges=[],
+ start_node="a",
+ )
+ assert graph_edit_distance(wf1, wf2) == 1
+
+
+class TestComputeFeatures:
+ def test_simple_workflow(self, simple_workflow: Workflow) -> None:
+ depth, fork_degree, agent_count, gate_count = compute_features(simple_workflow)
+ assert depth >= 4
+ assert fork_degree == 0
+ assert agent_count == 3
+ assert gate_count == 1
+
+ def test_workflow_with_fork(self) -> None:
+ nodes = {
+ "start": FnNode(id="start", command="x"),
+ "fork": ForkNode(id="fork", targets=["a", "b", "c"]),
+ "a": AgentNode(id="a", role=AgentRole.RESEARCHER),
+ "b": AgentNode(id="b", role=AgentRole.BUILDER),
+ "c": AgentNode(id="c", role=AgentRole.STRATEGIST),
+ "join": JoinNode(id="join", sources=["a", "b", "c"]),
+ "gate": GateNode(id="gate", evaluator_type="fn"),
+ }
+ edges = [
+ Edge(source="start", target="fork"),
+ Edge(source="fork", target="a"),
+ Edge(source="fork", target="b"),
+ Edge(source="fork", target="c"),
+ Edge(source="a", target="join"),
+ Edge(source="b", target="join"),
+ Edge(source="c", target="join"),
+ Edge(source="join", target="gate"),
+ ]
+ wf = Workflow(name="forked", nodes=nodes, edges=edges, start_node="start")
+ depth, fork_degree, agent_count, gate_count = compute_features(wf)
+ assert fork_degree == 3
+ assert agent_count == 3
+ assert gate_count == 1
+
+
+class TestNoveltyFilter:
+ def test_first_workflow_is_novel(self, simple_workflow: Workflow) -> None:
+ nf = NoveltyFilter()
+ assert nf.is_novel(simple_workflow) is True
+
+ def test_duplicate_is_not_novel(self, simple_workflow: Workflow) -> None:
+ nf = NoveltyFilter()
+ nf.add(simple_workflow)
+ assert nf.is_novel(simple_workflow) is False
+
+ def test_similar_workflow_rejected_by_ged(self, simple_workflow: Workflow) -> None:
+ nf = NoveltyFilter(min_edit_distance=2)
+ nf.add(simple_workflow)
+
+ other = Workflow(
+ name=simple_workflow.name,
+ nodes=dict(simple_workflow.nodes),
+ edges=list(simple_workflow.edges),
+ start_node=simple_workflow.start_node,
+ )
+ assert nf.is_novel(other) is False
+
+ def test_very_different_workflow_is_novel(self, simple_workflow: Workflow) -> None:
+ nf = NoveltyFilter(min_edit_distance=2)
+ nf.add(simple_workflow)
+
+ other = Workflow(
+ name="totally_different",
+ nodes={
+ "x": FnNode(id="x", command="echo x"),
+ "y": FnNode(id="y", command="echo y"),
+ "z": FnNode(id="z", command="echo z"),
+ },
+ edges=[
+ Edge(source="x", target="y"),
+ Edge(source="y", target="z"),
+ ],
+ start_node="x",
+ )
+ assert nf.is_novel(other) is True
+
+ def test_custom_threshold(self, simple_workflow: Workflow) -> None:
+ nf = NoveltyFilter(min_edit_distance=100)
+ nf.add(simple_workflow)
+ other = Workflow(
+ name="other",
+ nodes={"a": FnNode(id="a", command="x")},
+ edges=[],
+ start_node="a",
+ )
+ assert nf.is_novel(other, threshold=1) is True
diff --git a/tests/test_outer_loop/test_subset.py b/tests/test_outer_loop/test_subset.py
new file mode 100644
index 000000000..9f944b14e
--- /dev/null
+++ b/tests/test_outer_loop/test_subset.py
@@ -0,0 +1,33 @@
+"""Tests for SubsetSelector and FixedSubsetSelector."""
+
+from __future__ import annotations
+
+from factory.outer_loop.subset import FixedSubsetSelector, SubsetSelector
+
+
+class TestFixedSubsetSelector:
+ def test_returns_configured_instances(self) -> None:
+ selector = FixedSubsetSelector(["t1", "t2", "t3"])
+ result = selector.select(["t1", "t2", "t3", "t4", "t5"], generation=0, budget_remaining=100)
+ assert result == ["t1", "t2", "t3"]
+
+ def test_ignores_generation_and_budget(self) -> None:
+ selector = FixedSubsetSelector(["a", "b"])
+ r1 = selector.select(["a", "b", "c"], generation=0, budget_remaining=100)
+ r2 = selector.select(["a", "b", "c"], generation=5, budget_remaining=10)
+ assert r1 == r2
+
+ def test_returns_copy(self) -> None:
+ instances = ["x", "y"]
+ selector = FixedSubsetSelector(instances)
+ result = selector.select([], generation=0, budget_remaining=50)
+ result.append("z")
+ assert selector.select([], generation=0, budget_remaining=50) == ["x", "y"]
+
+ def test_protocol_conformance(self) -> None:
+ selector = FixedSubsetSelector(["t1"])
+ assert isinstance(selector, SubsetSelector)
+
+ def test_empty_instances(self) -> None:
+ selector = FixedSubsetSelector([])
+ assert selector.select(["a", "b"], generation=0, budget_remaining=10) == []
diff --git a/tests/test_outer_loop/test_telemetry.py b/tests/test_outer_loop/test_telemetry.py
new file mode 100644
index 000000000..7cc69d0bf
--- /dev/null
+++ b/tests/test_outer_loop/test_telemetry.py
@@ -0,0 +1,87 @@
+"""Tests for telemetry extraction from EvalResult."""
+
+from __future__ import annotations
+
+from factory.outer_loop.designer import extract_telemetry
+from factory.outer_loop.models import EvalResult
+
+
+class TestExtractTelemetry:
+ def test_basic_fields(self) -> None:
+ result = EvalResult(
+ score=0.75,
+ benchmark_score=0.8,
+ hygiene_score=0.7,
+ cost_usd=1.5,
+ complexity=5.0,
+ )
+ telemetry = extract_telemetry(result)
+
+ assert telemetry["benchmark_score"] == 0.8
+ assert telemetry["hygiene_score"] == 0.7
+ assert telemetry["cost_usd"] == 1.5
+ assert telemetry["complexity"] == 5.0
+ assert telemetry["score"] == 0.75
+
+ def test_node_stats_from_details(self) -> None:
+ result = EvalResult(
+ score=0.5,
+ details={
+ "node_stats": {
+ "builder": {"failure_rate": 0.3, "tokens": 5000},
+ "researcher": {"failure_rate": 0.0, "tokens": 2000},
+ },
+ },
+ )
+ telemetry = extract_telemetry(result)
+
+ node_stats = telemetry["node_stats"]
+ assert isinstance(node_stats, dict)
+ assert "builder" in node_stats
+ assert "researcher" in node_stats
+
+ def test_dominant_failure_from_details(self) -> None:
+ result = EvalResult(
+ score=0.3,
+ details={"dominant_failure": "timeout"},
+ )
+ telemetry = extract_telemetry(result)
+
+ assert telemetry["dominant_failure"] == "timeout"
+
+ def test_empty_details(self) -> None:
+ result = EvalResult(score=0.5)
+ telemetry = extract_telemetry(result)
+
+ assert telemetry["node_stats"] == {}
+ assert telemetry["dominant_failure"] == ""
+
+ def test_missing_node_stats(self) -> None:
+ result = EvalResult(
+ score=0.5,
+ details={"some_other_key": "value"},
+ )
+ telemetry = extract_telemetry(result)
+
+ assert telemetry["node_stats"] == {}
+ assert telemetry["dominant_failure"] == ""
+
+ def test_all_fields_present(self) -> None:
+ result = EvalResult(
+ score=0.6,
+ benchmark_score=0.7,
+ hygiene_score=0.5,
+ cost_usd=2.0,
+ complexity=8.0,
+ details={
+ "node_stats": {"gate": {"failure_rate": 0.1}},
+ "dominant_failure": "crash",
+ },
+ )
+ telemetry = extract_telemetry(result)
+
+ expected_keys = {
+ "node_stats", "dominant_failure", "benchmark_score",
+ "hygiene_score", "cost_usd", "complexity", "score",
+ }
+ assert set(telemetry.keys()) == expected_keys
diff --git a/tests/test_pipeline_prompt.py b/tests/test_pipeline_prompt.py
index d5cb31d08..3618f9d4a 100644
--- a/tests/test_pipeline_prompt.py
+++ b/tests/test_pipeline_prompt.py
@@ -53,7 +53,7 @@ def test_references_factory_agent_command(self, pipeline_skill):
def test_references_roles_from_config(self, pipeline_skill):
config = load_agent_config()
- core_roles = {"researcher", "strategist", "builder", "qa", "archivist"}
+ core_roles = {"researcher", "strategist", "builder", "archivist"}
for role in core_roles:
assert role in config, f"{role} missing from agents.yml"
assert role in pipeline_skill, f"{role} missing from pipeline skill"
@@ -96,13 +96,13 @@ def test_uses_agent_tool(self, subagents_skill):
def test_references_roles_matching_config(self, subagents_skill):
config = load_agent_config()
- core_roles = {"researcher", "strategist", "builder", "qa", "archivist"}
+ core_roles = {"researcher", "strategist", "builder", "archivist"}
for role in core_roles:
assert role in config, f"{role} missing from agents.yml"
assert role in subagents_skill, f"{role} missing from subagents skill"
def test_subagent_types_use_plugin_namespace(self, subagents_skill):
- core_roles = {"researcher", "strategist", "builder", "qa", "archivist"}
+ core_roles = {"researcher", "strategist", "builder", "archivist"}
for role in core_roles:
assert f"factory:{role}" in subagents_skill, \
f"subagent type 'factory:{role}' not referenced in skill"
diff --git a/tests/test_plan_workflow.py b/tests/test_plan_workflow.py
new file mode 100644
index 000000000..77af324f7
--- /dev/null
+++ b/tests/test_plan_workflow.py
@@ -0,0 +1,235 @@
+"""Tests for plan workflow — design_workflow(just_plan=True)."""
+
+from __future__ import annotations
+
+import pytest
+
+from factory.workflow.definitions import design_workflow
+from factory.workflow.primitives import (
+ AgentNode,
+ FnNode,
+ GateNode,
+ VerdictType,
+)
+
+
+@pytest.fixture()
+def wf():
+ return design_workflow(just_plan=True)
+
+
+# ── Structure tests ──────────────────────────────────────────────
+
+
+def test_plan_workflow_structure(wf):
+ """Verify node and edge counts match the expected topology."""
+ assert len(wf.nodes) == 21
+ assert len(wf.edges) == 27
+ assert wf.name == "plan"
+ assert wf.start_node == "gate_has_factory"
+ assert wf.terminal is True
+
+
+def test_plan_workflow_no_archivist_in_build_path(wf):
+ """Verify no archivist node exists — replaced by GitHub publishing."""
+ assert "archivist_plan" not in wf.nodes
+ for node in wf.nodes.values():
+ if isinstance(node, AgentNode):
+ assert node.role.value != "archivist"
+
+
+def test_plan_workflow_edge_coverage(wf):
+ """Verify all expected edges exist with correct conditions."""
+ edge_tuples = [
+ (e.source, e.target, e.condition)
+ for e in wf.edges
+ ]
+ expected = [
+ ("fork_research", "researcher_similar", None),
+ ("fork_research", "researcher_techstack", None),
+ ("fork_research", "researcher_pitfalls", None),
+ ("researcher_similar", "join_research", None),
+ ("researcher_techstack", "join_research", None),
+ ("researcher_pitfalls", "join_research", None),
+ ("join_research", "gate_research", None),
+ ("gate_research", "strategist", VerdictType.PROCEED),
+ ("gate_research", "fork_research", VerdictType.RELOOP),
+ ("strategist", "gate_strategy", None),
+ ("gate_strategy", "strategist", VerdictType.RELOOP),
+ ("graph_update", "study", None),
+ ("study", "graph_explorer", None),
+ ("graph_explorer", "concat_study", None),
+ ("gate_has_factory", "graph_update", VerdictType.PROCEED),
+ ("gate_has_factory", "discover", VerdictType.HALT),
+ ("discover", "gate_factory_md_exists", None),
+ ("gate_factory_md_exists", "factory_init", VerdictType.PROCEED),
+ ("gate_factory_md_exists", "create_factory_md", VerdictType.HALT),
+ ("create_factory_md", "factory_init", None),
+ ("factory_init", "graph_update", None),
+ ("concat_study", "check_prior_plans", None),
+ ("check_prior_plans", "gate_prior_plans", VerdictType.PROCEED),
+ ("check_prior_plans", "fork_research", VerdictType.HALT),
+ ("gate_prior_plans", "fork_research", VerdictType.PROCEED),
+ ("gate_strategy", "publish_github", VerdictType.PROCEED),
+ ("publish_github", "seed_backlog", None),
+ ]
+ assert edge_tuples == expected
+
+
+# ── Node-specific tests ─────────────────────────────────────────
+
+
+def test_plan_publish_github_node_exists(wf):
+ """Verify publish_github FnNode exists with correct reads/writes."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert ".factory/strategy/current.md" in node.reads
+ assert ".factory/strategy/github-issue-ref.txt" in node.writes
+
+
+def test_plan_strategy_gate_is_user(wf):
+ """Verify gate_strategy is a user gate in plan mode."""
+ node = wf.nodes["gate_strategy"]
+ assert isinstance(node, GateNode)
+ assert node.evaluator_type == "user"
+
+
+def test_plan_no_archivist_node(wf):
+ """Verify archivist_plan is NOT in workflow nodes."""
+ assert "archivist_plan" not in wf.nodes
+
+
+def test_plan_publish_directly_wired_after_gate(wf):
+ """Verify publish_github and seed_backlog are directly wired with no gates between."""
+ edges_from_strategy = [
+ (e.target, e.condition) for e in wf.edges if e.source == "gate_strategy"
+ ]
+ assert ("publish_github", VerdictType.PROCEED) in edges_from_strategy
+ assert ("strategist", VerdictType.RELOOP) in edges_from_strategy
+
+ edges_from_publish = [
+ (e.target, e.condition) for e in wf.edges if e.source == "publish_github"
+ ]
+ assert ("seed_backlog", None) in edges_from_publish
+
+ # Removed gate nodes must not exist
+ assert "gate_publish_github" not in wf.nodes
+ assert "gate_seed_backlog" not in wf.nodes
+
+
+def test_plan_seed_backlog_no_archive_ref(wf):
+ """Verify seed_backlog references github-issue-ref.txt, not .factory/archive/."""
+ node = wf.nodes["seed_backlog"]
+ assert isinstance(node, FnNode)
+ assert "github-issue-ref.txt" in node.command
+ assert ".factory/archive/" not in node.command
+
+
+def test_plan_check_prior_plans_github_search(wf):
+ """Verify check_prior_plans searches GitHub issues first."""
+ node = wf.nodes["check_prior_plans"]
+ assert isinstance(node, GateNode)
+ assert "gh issue list --label plan" in node.evaluator_command
+
+
+def test_plan_check_prior_plans_local_fallback(wf):
+ """Verify check_prior_plans falls back to local grep."""
+ node = wf.nodes["check_prior_plans"]
+ assert isinstance(node, GateNode)
+ assert "grep -Frl" in node.evaluator_command
+
+
+def test_plan_publish_github_graceful_degradation(wf):
+ """Verify publish_github checks gh auth status for graceful degradation."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "gh auth status" in node.command
+
+
+def test_plan_publish_github_auto_creates_repo(wf):
+ """Verify publish_github contains gh repo create for auto-creating repos."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "gh repo create" in node.command
+
+
+def test_plan_publish_github_creates_public_repo(wf):
+ """Verify publish_github creates public repos by default."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "--public" in node.command
+
+
+def test_plan_publish_github_handles_existing_repo(wf):
+ """Verify publish_github handles 'already exists' case."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "already exists" in node.command
+ assert "git remote add origin" in node.command
+
+
+def test_plan_publish_github_checks_git_worktree(wf):
+ """Verify publish_github checks git rev-parse --is-inside-work-tree."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "git rev-parse --is-inside-work-tree" in node.command
+
+
+def test_plan_publish_github_exits_zero_on_all_failures(wf):
+ """Verify publish_github exits 0 on all failure paths."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert node.command.count("exit 0") >= 3
+
+
+def test_plan_publish_github_user_facing_messages(wf):
+ """Verify publish_github echoes clear user-facing messages."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "Creating GitHub repository:" in node.command
+ assert "GitHub repository created:" in node.command
+ assert "plan saved locally only" in node.command
+ assert "already exists on GitHub, linking as remote" in node.command
+
+
+def test_plan_publish_github_body_file(wf):
+ """Verify publish_github uses --body-file, not --body."""
+ node = wf.nodes["publish_github"]
+ assert isinstance(node, FnNode)
+ assert "--body-file" in node.command
+
+
+def test_plan_skill_export(wf):
+ """Verify skill export produces valid SKILL.md content."""
+ from factory.workflow.skill_export import workflow_to_skill_md
+
+ skill = workflow_to_skill_md(wf)
+ assert "workflow-plan" in skill
+ assert "Publish" in skill
+ assert "archivist" not in skill.lower() or "archivist_plan" not in skill
+
+
+def test_plan_no_build_phase_nodes(wf):
+ """Verify all build-phase nodes are removed in plan mode."""
+ build_nodes = {
+ "builder", "gate_build", "health_checker", "code_reviewer",
+ "gate_review", "adversarial_tester", "gate_qa",
+ "gate_doc_freshness", "gate_precheck", "archivist_build",
+ "spec_generate",
+ }
+ for node_id in build_nodes:
+ assert node_id not in wf.nodes, f"{node_id} should not be in plan workflow"
+
+
+def test_design_without_just_plan_unchanged():
+ """Verify design_workflow() without just_plan is identical to before."""
+ wf = design_workflow()
+ assert wf.name == "design"
+ assert wf.terminal is True
+ assert wf.start_node == "gate_has_factory"
+ assert "builder" in wf.nodes
+ assert "gate_build" in wf.nodes
+ assert "health_checker" in wf.nodes
+ gate = wf.nodes["gate_strategy"]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "user"
diff --git a/tests/test_playbook_hygiene.py b/tests/test_playbook_hygiene.py
index 0ab3d1476..c855617f4 100644
--- a/tests/test_playbook_hygiene.py
+++ b/tests/test_playbook_hygiene.py
@@ -129,8 +129,8 @@ def test_item_count_matches(self, playbook_files):
break
def test_expected_roles_present(self):
- """All six agent roles should have a shipped default playbook."""
- expected = {"archivist", "builder", "ceo", "qa", "strategist"}
+ """All agent roles should have a shipped default playbook."""
+ expected = {"archivist", "builder", "ceo", "strategist"}
actual = {p.stem for p in PLAYBOOKS_DIR.glob("*.md")}
assert expected == actual
diff --git a/tests/test_plugin_agents.py b/tests/test_plugin_agents.py
index b07092b01..a9a5e814f 100644
--- a/tests/test_plugin_agents.py
+++ b/tests/test_plugin_agents.py
@@ -5,20 +5,15 @@
from factory.agents.plugin import (
AgentMeta,
- _READ_ONLY_ROLES,
- _WORKSPACE_WRITE_ROLES,
- _sandbox_mode,
check_agents_in_sync,
- check_codex_agents_in_sync,
generate_agent_content,
- generate_codex_agent_toml,
load_agent_config,
)
from factory.agents.runner import AgentRole, _PROMPTS_DIR
ALL_ROLES: list[AgentRole] = [
- "researcher", "strategist", "builder", "qa",
+ "researcher", "strategist", "builder",
"archivist", "ceo", "failure_analyst",
]
@@ -185,148 +180,5 @@ def test_rejects_invalid_role(self, tmp_path, monkeypatch):
assert rc == 1
-class TestSandboxMode:
- def test_read_only_roles(self):
- for role in _READ_ONLY_ROLES:
- assert _sandbox_mode(role) == "read-only"
- def test_workspace_write_roles(self):
- for role in _WORKSPACE_WRITE_ROLES:
- assert _sandbox_mode(role) == "workspace-write"
- def test_all_known_roles_covered(self):
- config = load_agent_config()
- for role in config:
- assert role in _READ_ONLY_ROLES or role in _WORKSPACE_WRITE_ROLES, (
- f"{role} is not in _READ_ONLY_ROLES or _WORKSPACE_WRITE_ROLES"
- )
- assert not (role in _READ_ONLY_ROLES and role in _WORKSPACE_WRITE_ROLES), (
- f"{role} is in both _READ_ONLY_ROLES and _WORKSPACE_WRITE_ROLES"
- )
-
- def test_unknown_role_raises(self):
- with pytest.raises(ValueError, match="Unknown role"):
- _sandbox_mode("nonexistent_role")
-
- def test_researcher_is_read_only(self):
- assert _sandbox_mode("researcher") == "read-only"
-
- def test_builder_is_workspace_write(self):
- assert _sandbox_mode("builder") == "workspace-write"
-
- def test_ceo_is_workspace_write(self):
- assert _sandbox_mode("ceo") == "workspace-write"
-
-
-class TestGenerateCodexAgentToml:
- def test_generates_valid_toml_structure(self):
- content = generate_codex_agent_toml("researcher")
- assert 'name = "factory-researcher"' in content
- assert "sandbox_mode" in content
- assert "developer_instructions" in content
-
- def test_has_generated_comment(self):
- content = generate_codex_agent_toml("builder")
- assert "GENERATED FILE" in content
- assert "factory/agents/prompts/builder.md" in content
-
- def test_sandbox_mode_matches_role(self):
- for role in ALL_ROLES:
- content = generate_codex_agent_toml(role)
- expected_mode = _sandbox_mode(role)
- assert f'sandbox_mode = "{expected_mode}"' in content, (
- f"{role}: expected sandbox_mode={expected_mode}"
- )
-
- def test_name_prefixed_with_factory(self):
- for role in ALL_ROLES:
- content = generate_codex_agent_toml(role)
- assert f'name = "factory-{role}"' in content
-
- def test_contains_prompt_heading(self):
- for role in ALL_ROLES:
- source = (_PROMPTS_DIR / f"{role}.md").read_text()
- first_line = source.strip().splitlines()[0]
- generated = generate_codex_agent_toml(role)
- assert first_line in generated, (
- f"{role}: generated TOML does not include first line of source prompt"
- )
-
- def test_has_prerequisite_note(self):
- content = generate_codex_agent_toml("builder")
- assert "uv tool install" in content
-
- def test_unknown_role_raises(self):
- with pytest.raises(ValueError, match="Unknown agent role"):
- generate_codex_agent_toml("nonexistent")
-
- def test_description_present(self):
- for role in ALL_ROLES:
- content = generate_codex_agent_toml(role)
- assert 'description = "' in content
-
- def test_multiline_instructions(self):
- content = generate_codex_agent_toml("ceo")
- assert "developer_instructions = '''" in content
- assert content.rstrip().endswith("'''")
-
-
-class TestCheckCodexAgentsInSync:
- def test_passes_when_all_generated(self, tmp_path):
- config = load_agent_config()
- for role in config:
- (tmp_path / f"{role}.toml").write_text(generate_codex_agent_toml(role))
- assert check_codex_agents_in_sync(tmp_path) == []
-
- def test_detects_missing_file(self, tmp_path):
- out_of_sync = check_codex_agents_in_sync(tmp_path)
- assert len(out_of_sync) == len(load_agent_config())
-
- def test_detects_stale_file(self, tmp_path):
- config = load_agent_config()
- for role in config:
- (tmp_path / f"{role}.toml").write_text(generate_codex_agent_toml(role))
- (tmp_path / "builder.toml").write_text("stale content")
- out_of_sync = check_codex_agents_in_sync(tmp_path)
- assert out_of_sync == ["builder"]
-
- def test_none_dir_returns_empty(self):
- assert check_codex_agents_in_sync(None) == []
-
-
-class TestCmdInstallCodex:
- def test_installs_codex_agents(self, tmp_path, monkeypatch):
- monkeypatch.setattr("pathlib.Path.home", lambda: tmp_path)
- from argparse import Namespace
-
- from factory.cli import cmd_install
-
- rc = cmd_install(Namespace(role=None, runner="codex"))
- assert rc == 0
- agents_dir = tmp_path / ".codex" / "agents"
- for role in ALL_ROLES:
- agent_file = agents_dir / f"factory-{role}.toml"
- assert agent_file.exists(), f"Missing TOML agent file for {role}"
- content = agent_file.read_text()
- assert f'name = "factory-{role}"' in content
-
- def test_installs_single_codex_role(self, tmp_path, monkeypatch):
- monkeypatch.setattr("pathlib.Path.home", lambda: tmp_path)
- from argparse import Namespace
-
- from factory.cli import cmd_install
-
- rc = cmd_install(Namespace(role="builder", runner="codex"))
- assert rc == 0
- agents_dir = tmp_path / ".codex" / "agents"
- assert (agents_dir / "factory-builder.toml").exists()
- assert not (agents_dir / "factory-ceo.toml").exists()
-
- def test_rejects_invalid_codex_role(self, tmp_path, monkeypatch):
- monkeypatch.setattr("pathlib.Path.home", lambda: tmp_path)
- from argparse import Namespace
-
- from factory.cli import cmd_install
-
- rc = cmd_install(Namespace(role="nonexistent", runner="codex"))
- assert rc == 1
diff --git a/tests/test_plugins.py b/tests/test_plugins.py
new file mode 100644
index 000000000..41ccf73fb
--- /dev/null
+++ b/tests/test_plugins.py
@@ -0,0 +1,323 @@
+"""Tests for the CLI plugin architecture."""
+
+from __future__ import annotations
+
+import json
+from unittest.mock import MagicMock, patch
+
+from factory.plugins import (
+ CommandSpec,
+ PluginLoadResult,
+ PluginRegistry,
+ load_plugins,
+)
+
+
+def _make_ep(name: str, load_return=None, load_exc=None, dist_name: str | None = None, dist_version: str | None = "0.1.0"):
+ """Build a mock entry point."""
+ ep = MagicMock()
+ ep.name = name
+ dist = MagicMock()
+ dist.name = dist_name or name
+ dist.version = dist_version
+ ep.dist = dist
+ if load_exc:
+ ep.load.side_effect = load_exc
+ else:
+ ep.load.return_value = load_return
+ return ep
+
+
+class TestLoadPluginsNoEntrypoints:
+ def test_empty_group_no_crash(self):
+ registry = PluginRegistry()
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = []
+ results = load_plugins(registry)
+ assert results == []
+ assert registry.commands == {}
+ assert registry.modes == []
+
+
+class TestLoadPluginsValidPlugin:
+ def test_registers_command(self):
+ def my_plugin(reg: PluginRegistry):
+ reg.add_commands({"greet": CommandSpec(handler=lambda a: 0, help="Say hello")})
+
+ registry = PluginRegistry()
+ ep = _make_ep("my-plugin", load_return=my_plugin)
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep]
+ results = load_plugins(registry)
+ assert len(results) == 1
+ assert results[0].status == "loaded"
+ assert results[0].name == "my-plugin"
+ assert "greet" in registry.commands
+
+
+class TestLoadPluginsBrokenImport:
+ def test_import_error_isolated(self):
+ good_called = []
+ def good_plugin(reg: PluginRegistry):
+ good_called.append(True)
+ reg.add_commands({"good": CommandSpec(handler=lambda a: 0, help="Works")})
+
+ bad_ep = _make_ep("aaa-bad", load_exc=ImportError("no module"), dist_name="aaa-bad")
+ good_ep = _make_ep("zzz-good", load_return=good_plugin, dist_name="zzz-good")
+
+ registry = PluginRegistry()
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [good_ep, bad_ep]
+ results = load_plugins(registry)
+
+ statuses = {r.name: r.status for r in results}
+ assert statuses["aaa-bad"] == "failed"
+ assert statuses["zzz-good"] == "loaded"
+ assert "good" in registry.commands
+
+
+class TestLoadPluginsBrokenRegistration:
+ def test_registration_error_isolated(self):
+ def broken_plugin(reg: PluginRegistry):
+ raise RuntimeError("plugin init failed")
+
+ registry = PluginRegistry()
+ ep = _make_ep("broken", load_return=broken_plugin)
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep]
+ results = load_plugins(registry)
+ assert results[0].status == "failed"
+ assert "Registration error" in results[0].reason
+
+
+class TestLoadPluginsNotCallable:
+ def test_non_callable_entry_point(self):
+ registry = PluginRegistry()
+ ep = _make_ep("bad-entry", load_return="not_a_function")
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep]
+ results = load_plugins(registry)
+ assert results[0].status == "failed"
+ assert "not callable" in results[0].reason
+
+
+class TestCollisionDetectionCommands:
+ def test_same_name_twice_first_wins(self):
+ def handler_a(a):
+ return 0
+
+ def handler_b(a):
+ return 1
+
+ def plugin_a(reg: PluginRegistry):
+ reg.add_commands({"dup": CommandSpec(handler=handler_a, help="First")})
+
+ def plugin_b(reg: PluginRegistry):
+ reg.add_commands({"dup": CommandSpec(handler=handler_b, help="Second")})
+
+ ep_a = _make_ep("aaa-first", load_return=plugin_a, dist_name="aaa-first")
+ ep_b = _make_ep("zzz-second", load_return=plugin_b, dist_name="zzz-second")
+
+ registry = PluginRegistry()
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep_a, ep_b]
+ load_plugins(registry)
+ assert registry.commands["dup"].handler is handler_a
+
+
+class TestCollisionWithBuiltinCommand:
+ def test_builtin_command_skipped_with_warning(self):
+ registry = PluginRegistry()
+ registry.add_commands({
+ "eval": CommandSpec(handler=lambda a: 0, help="Shadow builtin eval"),
+ "my-new-cmd": CommandSpec(handler=lambda a: 0, help="Legit plugin cmd"),
+ })
+ assert "eval" not in registry.commands
+ assert "my-new-cmd" in registry.commands
+
+
+class TestCollisionDetectionModes:
+ def test_collision_with_builtin_skipped(self):
+ def plugin(reg: PluginRegistry):
+ reg.add_modes(["improve", "custom-mode"])
+
+ registry = PluginRegistry()
+ ep = _make_ep("mode-plugin", load_return=plugin)
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep]
+ load_plugins(registry)
+ assert "improve" not in registry.modes
+ assert "custom-mode" in registry.modes
+
+
+class TestCmdPluginsOutput:
+ def test_human_readable_format(self, capsys):
+ results = [
+ PluginLoadResult(name="my-plugin", status="loaded", version="1.0.0"),
+ PluginLoadResult(name="bad-plugin", status="failed", reason="Import error", version="0.1.0"),
+ ]
+
+ registry = PluginRegistry()
+ registry.commands["greet"] = CommandSpec(handler=lambda a: 0, help="Say hello")
+
+ _cmd_plugins_text(results, registry)
+
+ captured = capsys.readouterr()
+ assert "my-plugin" in captured.out
+ assert "loaded" in captured.out
+
+
+class TestCmdPluginsJson:
+ def test_valid_json(self, capsys):
+ results = [
+ PluginLoadResult(name="my-plugin", status="loaded", version="1.0.0"),
+ ]
+ registry = PluginRegistry()
+ registry.commands["greet"] = CommandSpec(handler=lambda a: 0, help="Say hello")
+
+ _cmd_plugins_json(results, registry)
+ captured = capsys.readouterr()
+ data = json.loads(captured.out)
+ assert isinstance(data, list)
+ assert data[0]["name"] == "my-plugin"
+ assert data[0]["status"] == "loaded"
+
+
+class TestGetAllCeoModesIncludesPlugins:
+ def test_plugin_mode_in_result(self):
+ from factory.cli._helpers import CEO_MODES, get_all_ceo_modes
+
+ registry = PluginRegistry()
+ registry.modes = ["my-custom-mode"]
+ with patch("factory.plugins.get_registry", return_value=registry):
+ all_modes = get_all_ceo_modes()
+ assert "my-custom-mode" in all_modes
+ for m in CEO_MODES:
+ assert m in all_modes
+
+
+class TestAddParserExtensions:
+ def test_extension_stored(self):
+ registry = PluginRegistry()
+ ext_fn = MagicMock()
+ registry.add_parser_extensions({"ceo": ext_fn})
+ assert "ceo" in registry.parser_extensions
+ assert registry.parser_extensions["ceo"] == [ext_fn]
+
+ def test_multiple_extensions_same_subcommand(self):
+ registry = PluginRegistry()
+ ext_a = MagicMock()
+ ext_b = MagicMock()
+ registry.add_parser_extensions({"ceo": ext_a})
+ registry.add_parser_extensions({"ceo": ext_b})
+ assert registry.parser_extensions["ceo"] == [ext_a, ext_b]
+
+
+class TestAddParserExtensionsApplied:
+ def test_extension_called_on_build_parser(self):
+ ext_fn = MagicMock()
+
+ def plugin(reg: PluginRegistry):
+ reg.add_parser_extensions({"ceo": ext_fn})
+
+ ep = _make_ep("ext-plugin", load_return=plugin)
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep]
+ from factory.cli._main import build_parser
+
+ build_parser()
+
+ ext_fn.assert_called_once()
+ import argparse
+ assert isinstance(ext_fn.call_args[0][0], argparse.ArgumentParser)
+
+
+class TestCeoPreHookCalled:
+ def test_pre_hook_invoked(self):
+ hook = MagicMock(return_value=None)
+ registry = PluginRegistry()
+ registry.ceo_pre_hooks.append(hook)
+
+ with (
+ patch("factory.plugins.get_registry", return_value=registry),
+ patch("factory.cli.ceo._validate_ceo_flags") as mock_validate,
+ patch("factory.cli.ceo._resolve_ceo_project") as mock_resolve,
+ patch("factory.cli.ceo._validate_late_flags", return_value=None),
+ patch("factory.cli.ceo._execute_ceo", return_value=0),
+ patch("factory.user_config.load_config"),
+ ):
+ mock_validate.return_value = (
+ "improve", False, False, False, None, None, None, None, False, None, False,
+ )
+ mock_resolve.return_value = (
+ "/tmp/proj", None, None, None,
+ None, False, False, None, None,
+ )
+ from factory.cli.ceo import cmd_ceo
+
+ args = MagicMock()
+ args.path = "/tmp/proj"
+ args.profile = None
+ args.no_github = False
+ cmd_ceo(args)
+
+ hook.assert_called_once()
+ call_args = hook.call_args[0]
+ assert call_args[0] == "improve"
+
+
+class TestDeterministicLoadOrder:
+ def test_sorted_by_dist_name(self):
+ def plugin_c(reg: PluginRegistry):
+ pass
+ def plugin_a(reg: PluginRegistry):
+ pass
+ def plugin_b(reg: PluginRegistry):
+ pass
+
+ ep_c = _make_ep("charlie", load_return=plugin_c, dist_name="charlie")
+ ep_a = _make_ep("alpha", load_return=plugin_a, dist_name="alpha")
+ ep_b = _make_ep("bravo", load_return=plugin_b, dist_name="bravo")
+
+ registry = PluginRegistry()
+ with patch("factory.plugins.importlib.metadata.entry_points") as mock_eps:
+ mock_eps.return_value = MagicMock()
+ mock_eps.return_value.select.return_value = [ep_c, ep_a, ep_b]
+ results = load_plugins(registry)
+ names = [r.name for r in results]
+ assert names == ["alpha", "bravo", "charlie"]
+
+
+# ── helpers used by tests ──────────────────────────────────────
+
+def _cmd_plugins_text(results: list[PluginLoadResult], registry: PluginRegistry) -> None:
+ if not results:
+ print("No plugins discovered.")
+ return
+ for r in results:
+ ver = f" v{r.version}" if r.version else ""
+ line = f" {r.name}{ver}: {r.status}"
+ if r.reason:
+ line += f" ({r.reason})"
+ print(line)
+ if registry.commands:
+ print(f"\nRegistered commands: {', '.join(sorted(registry.commands))}")
+ if registry.modes:
+ print(f"Registered modes: {', '.join(registry.modes)}")
+
+
+def _cmd_plugins_json(results: list[PluginLoadResult], registry: PluginRegistry) -> None:
+ import dataclasses
+ data = []
+ for r in results:
+ entry = dataclasses.asdict(r)
+ data.append(entry)
+ print(json.dumps(data, indent=2))
diff --git a/tests/test_precheck.py b/tests/test_precheck.py
index 7139e5f09..a408e2f8b 100644
--- a/tests/test_precheck.py
+++ b/tests/test_precheck.py
@@ -276,7 +276,7 @@ def test_qa_execution_guard_pass(self, tmp_path: Path) -> None:
"type": "agent.completed",
"timestamp": "2026-06-27T10:10:00+00:00",
"project": "test",
- "agent": "qa",
+ "agent": "health_checker",
"data": {},
},
])
@@ -516,6 +516,38 @@ def test_one_score_present_shows_section(self):
assert "Score Comparison" in body
assert "n/a" in body
+ def test_qa_body_rendered(self):
+ payload = ReviewPayload(
+ verdict="KEEP",
+ reason="All good",
+ score_before=0.8,
+ score_after=0.9,
+ threshold=0.8,
+ guard_results={},
+ precheck_summary="",
+ code_notes=[],
+ qa_body="Found 2 issues:\n- Missing error handling\n- No input validation",
+ )
+ body = format_review(payload)
+ assert "### QA Analysis" in body
+ assert "Found 2 issues:" in body
+ assert "Missing error handling" in body
+
+ def test_qa_body_empty_omitted(self):
+ payload = ReviewPayload(
+ verdict="KEEP",
+ reason="All good",
+ score_before=0.8,
+ score_after=0.9,
+ threshold=0.8,
+ guard_results={},
+ precheck_summary="",
+ code_notes=[],
+ qa_body="",
+ )
+ body = format_review(payload)
+ assert "### QA Analysis" not in body
+
def test_minimal_payload(self):
payload = ReviewPayload(
verdict="KEEP",
@@ -540,7 +572,7 @@ class TestPostReview:
def test_success(self, mock_run):
mock_run.return_value = MagicMock(returncode=0)
assert post_review(42, "body", "KEEP") is True
- call_args = mock_run.call_args[0][0]
+ call_args = mock_run.call_args_list[0][0][0]
assert "--approve" in call_args
assert "42" in call_args
@@ -564,9 +596,10 @@ def test_review_fails_falls_back_to_comment(self, mock_run):
mock_run.side_effect = [
MagicMock(returncode=1, stderr="auth error"),
MagicMock(returncode=0),
+ MagicMock(returncode=0),
]
assert post_review(42, "body", "KEEP") is True
- assert mock_run.call_count == 2
+ assert mock_run.call_count == 3
fallback_cmd = mock_run.call_args_list[1][0][0]
assert fallback_cmd[:3] == ["gh", "pr", "comment"]
@@ -633,6 +666,51 @@ def test_review_parser(self):
assert args.pr == 99
assert args.dry_run is True
+ def test_review_parser_qa_body_file(self):
+ from factory.cli import build_parser
+
+ parser = build_parser()
+ args = parser.parse_args([
+ "review",
+ "--verdict", "KEEP",
+ "--qa-body-file", "/tmp/qa-latest.md",
+ ])
+ assert args.qa_body_file == "/tmp/qa-latest.md"
+
+ def test_cmd_review_qa_body_file(self, tmp_path, capsys):
+ from factory.cli import cmd_review, build_parser
+
+ body_file = tmp_path / "qa-report.md"
+ body_file.write_text("## Health Check\nAll tests pass.")
+
+ parser = build_parser()
+ args = parser.parse_args([
+ "review",
+ "--verdict", "KEEP",
+ "--qa-body-file", str(body_file),
+ "--dry-run",
+ ])
+ result = cmd_review(args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "### QA Analysis" in captured.out
+ assert "All tests pass." in captured.out
+
+ def test_cmd_review_qa_body_file_missing(self, tmp_path, capsys):
+ from factory.cli import cmd_review, build_parser
+
+ parser = build_parser()
+ args = parser.parse_args([
+ "review",
+ "--verdict", "KEEP",
+ "--qa-body-file", str(tmp_path / "nonexistent.md"),
+ "--dry-run",
+ ])
+ result = cmd_review(args)
+ assert result == 0
+ captured = capsys.readouterr()
+ assert "### QA Analysis" not in captured.out
+
def test_review_parser_minimal(self):
from factory.cli import build_parser
diff --git a/tests/test_profile.py b/tests/test_profile.py
index 5494faf72..86de65d07 100644
--- a/tests/test_profile.py
+++ b/tests/test_profile.py
@@ -107,7 +107,7 @@ def test_writes_file_with_frontmatter(self, tmp_path: Path) -> None:
def test_source_projects_listed(self, tmp_path: Path) -> None:
profile_path = tmp_path / "profile.md"
with patch("factory.profile._PROFILE_PATH", profile_path):
- save_profile("content", ["a", "b", "c"], "bob")
+ save_profile("content", ["a", "b", "c"], "claude")
text = profile_path.read_text()
assert ' - "a"\n' in text
assert ' - "b"\n' in text
@@ -277,9 +277,8 @@ async def test_invokes_runner(self, tmp_path: Path) -> None:
stdout="Synthesized profile text", return_code=0,
))
- with patch("factory.runners.get_runner", return_value=mock_runner), \
- patch("factory.agents.runner.resolve_prompt", return_value="profiler prompt"):
- result = await synthesize_profile({"section": "data"}, "claude")
+ with patch("factory.runners.get_runner", return_value=mock_runner):
+ result = await synthesize_profile({"section": "data"}, "claude", prompt="profiler prompt")
assert result == "Synthesized profile text"
mock_runner.headless.assert_called_once()
@@ -292,7 +291,6 @@ async def test_handles_failure(self, tmp_path: Path) -> None:
stdout="Error output", return_code=1,
))
- with patch("factory.runners.get_runner", return_value=mock_runner), \
- patch("factory.agents.runner.resolve_prompt", return_value="prompt"):
- result = await synthesize_profile({"section": "data"})
+ with patch("factory.runners.get_runner", return_value=mock_runner):
+ result = await synthesize_profile({"section": "data"}, prompt="prompt")
assert "failed" in result.lower()
diff --git a/tests/test_project_eval.py b/tests/test_project_eval.py
index 7974bc9e6..83fc9ac2d 100644
--- a/tests/test_project_eval.py
+++ b/tests/test_project_eval.py
@@ -522,13 +522,13 @@ def test_introspect_includes_discovered_evals(self, tmp_path: Path) -> None:
class TestBuildCeoTaskBranch:
def test_no_branch(self) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(Path("/test"), "improve")
assert "Branch Override" not in task
def test_with_branch(self) -> None:
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(Path("/test"), "improve", branch="factory/dev")
assert "## Branch Override" in task
diff --git a/tests/test_prompts.py b/tests/test_prompts.py
index 1de63c349..661efacdf 100644
--- a/tests/test_prompts.py
+++ b/tests/test_prompts.py
@@ -9,6 +9,15 @@
PROMPTS_DIR = Path(__file__).parent.parent / "factory" / "agents" / "prompts"
+def _generate_design_skill() -> str:
+ from factory.workflow.definitions import register_all
+ from factory.workflow.skill_export import workflow_to_skill_md
+ from factory.workflow.splitter import resolve_to_clean
+
+ wfs = register_all()
+ return resolve_to_clean(workflow_to_skill_md(wfs["design"]))
+
+
@pytest.fixture
def strategist_prompt() -> str:
return (PROMPTS_DIR / "strategist.md").read_text()
@@ -31,7 +40,7 @@ class TestStrategistPrompt:
def test_has_design_space_section(self, strategist_prompt: str) -> None:
assert "## Design Space Exploration" in strategist_prompt
- def test_lists_all_10_dimensions(self, strategist_prompt: str) -> None:
+ def test_lists_all_dimensions(self, strategist_prompt: str) -> None:
dimensions = [
"Features", "Bug fixes", "Instrumentation", "Flow changes",
"New agents", "Prompt engineering", "Eval improvements",
@@ -103,12 +112,9 @@ def test_has_state_machine(self, ceo_prompt: str) -> None:
assert "## State Machine" in ceo_prompt
def test_has_all_modes(self, ceo_prompt: str) -> None:
- """CEO routes to all modes via Skill Selection section."""
- assert "workflow-build" in ceo_prompt
- assert "workflow-improve" in ceo_prompt
- assert "workflow-research" in ceo_prompt
- assert "workflow-meta" in ceo_prompt
+ """CEO routes to surviving modes via Skill Selection section."""
assert "workflow-design" in ceo_prompt
+ assert "workflow-create" in ceo_prompt
def test_has_sacred_rules(self, ceo_prompt: str) -> None:
assert "## Sacred Rules" in ceo_prompt
@@ -143,20 +149,18 @@ def test_ceo_notes_convention(self, ceo_prompt: str) -> None:
assert "ceo:keep" in ceo_prompt
assert "ceo:revert" in ceo_prompt
- def test_build_mode_has_full_pipeline(self, ceo_prompt: str) -> None:
- """Build workflow skill has researcher, strategist, and builder phases."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-build" / "SKILL.md"
- build_skill = skill_path.read_text()
- assert "researcher" in build_skill.lower()
- assert "strategist" in build_skill.lower()
- assert "builder" in build_skill.lower()
-
- def test_build_mode_does_not_skip_to_builder(self, ceo_prompt: str) -> None:
- """Build workflow skill includes research and strategy phases before builder."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-build" / "SKILL.md"
- build_skill = skill_path.read_text()
- researcher_pos = build_skill.lower().index("researcher")
- builder_pos = build_skill.lower().index("builder")
+ def test_design_mode_has_full_pipeline(self, ceo_prompt: str) -> None:
+ """Design workflow skill has researcher, strategist, and builder phases."""
+ design_skill = _generate_design_skill()
+ assert "researcher" in design_skill.lower()
+ assert "strategist" in design_skill.lower()
+ assert "builder" in design_skill.lower()
+
+ def test_design_mode_does_not_skip_to_builder(self, ceo_prompt: str) -> None:
+ """Design workflow skill includes research and strategy phases before builder."""
+ design_skill = _generate_design_skill()
+ researcher_pos = design_skill.lower().index("researcher")
+ builder_pos = design_skill.lower().index("builder")
assert researcher_pos < builder_pos
# ── CEO Review Gate tests ────────────────────────────────────
@@ -177,28 +181,29 @@ def test_strategist_hard_gate_in_plan_loop(self, ceo_prompt: str) -> None:
assert "HARD GATE" in ceo_prompt
assert "PLAN APPROVED" in ceo_prompt
- def test_strategist_hard_gate_in_improve_mode(self, ceo_prompt: str) -> None:
- """Improve workflow skill has gate node after strategist."""
+ def test_strategist_hard_gate_in_design_mode(self, ceo_prompt: str) -> None:
+ """Design workflow skill has gate node after strategist."""
from factory.workflow.definitions import register_all
wfs = register_all()
- improve = wfs["improve"]
- gate_ids = [nid for nid, n in improve.nodes.items() if hasattr(n, "evaluator_type")]
- assert len(gate_ids) > 0, "Improve workflow must have gate nodes"
+ design = wfs["design"]
+ gate_ids = [nid for nid, n in design.nodes.items() if hasattr(n, "evaluator_type")]
+ assert len(gate_ids) > 0, "Design workflow must have gate nodes"
def test_plan_loop_has_research_review(self, ceo_prompt: str) -> None:
"""CEO prompt has review gate protocol for agent review."""
assert "ceo-verdict" in ceo_prompt
- def test_build_mode_has_builder_review(self, ceo_prompt: str) -> None:
- """Build workflow skill has QA agent after builder."""
+ def test_design_mode_has_builder_review(self, ceo_prompt: str) -> None:
+ """Design workflow skill has deep-qa specialist agents after builder."""
from factory.workflow.definitions import register_all
wfs = register_all()
- build = wfs["build"]
- has_qa = any(
- hasattr(n, "role") and n.role.value == "qa"
- for n in build.nodes.values()
+ design = wfs["design"]
+ deep_qa_roles = {"health_checker", "code_reviewer", "adversarial_tester"}
+ has_deep_qa = any(
+ hasattr(n, "role") and n.role.value in deep_qa_roles
+ for n in design.nodes.values()
)
- assert has_qa, "Build workflow must have QA node"
+ assert has_deep_qa, "Design workflow must have deep-qa specialist nodes"
def test_improve_mode_has_builder_pr_review(self, ceo_prompt: str) -> None:
"""CEO prompt references PR review before proceeding."""
@@ -216,28 +221,29 @@ def test_review_assessment_criteria_table(self, ceo_prompt: str) -> None:
# ── E2E Verification Gate tests ──────────────────────────────
- def test_build_mode_has_e2e_gate(self, ceo_prompt: str) -> None:
- """Build workflow skill has QA agent for E2E verification."""
+ def test_design_mode_has_e2e_gate(self, ceo_prompt: str) -> None:
+ """Design workflow skill has deep-qa specialists for E2E verification."""
from factory.workflow.definitions import register_all
wfs = register_all()
- build = wfs["build"]
- has_qa = any(
- hasattr(n, "role") and n.role.value == "qa"
- for n in build.nodes.values()
+ design = wfs["design"]
+ deep_qa_roles = {"health_checker", "code_reviewer", "adversarial_tester"}
+ has_deep_qa = any(
+ hasattr(n, "role") and n.role.value in deep_qa_roles
+ for n in design.nodes.values()
)
- assert has_qa
+ assert has_deep_qa
- def test_e2e_gate_before_improve(self, ceo_prompt: str) -> None:
- """Build workflow has QA after builder in topological order."""
+ def test_e2e_gate_before_qa(self, ceo_prompt: str) -> None:
+ """Design workflow has fork_qa (QA entry) after builder in topological order."""
from factory.workflow.skill_export import _topological_sort
from factory.workflow.definitions import register_all
wfs = register_all()
- build = wfs["build"]
- order = _topological_sort(build)
- builder_ids = [nid for nid in order if "builder" in nid]
- qa_ids = [nid for nid in order if "qa" in nid]
- if builder_ids and qa_ids:
- assert order.index(builder_ids[0]) < order.index(qa_ids[0])
+ design = wfs["design"]
+ order = _topological_sort(design)
+ builder_ids = [nid for nid in order if nid == "builder"]
+ fork_ids = [nid for nid in order if nid == "fork_qa"]
+ if builder_ids and fork_ids:
+ assert order.index(builder_ids[0]) < order.index(fork_ids[0])
def test_e2e_gate_asks_user_for_input(self, ceo_prompt: str) -> None:
"""CEO prompt communicates with user in foreground mode."""
@@ -253,25 +259,14 @@ def test_archivist_do_not_skip_labels(self, ceo_prompt: str) -> None:
"""CEO prompt enforces mandatory archival."""
assert "Do not skip archival" in ceo_prompt
- def test_archivist_in_build_mode(self, ceo_prompt: str) -> None:
- """Build workflow skill includes archivist node."""
- from factory.workflow.definitions import register_all
- wfs = register_all()
- build = wfs["build"]
- has_archivist = any(
- hasattr(n, "role") and n.role.value == "archivist"
- for n in build.nodes.values()
- )
- assert has_archivist
-
- def test_archivist_in_improve_mode(self, ceo_prompt: str) -> None:
- """Improve workflow skill includes archivist node."""
+ def test_archivist_in_design_mode(self, ceo_prompt: str) -> None:
+ """Design workflow skill includes archivist node."""
from factory.workflow.definitions import register_all
wfs = register_all()
- improve = wfs["improve"]
+ design = wfs["design"]
has_archivist = any(
hasattr(n, "role") and n.role.value == "archivist"
- for n in improve.nodes.values()
+ for n in design.nodes.values()
)
assert has_archivist
@@ -286,64 +281,76 @@ def test_has_skill_routing(self, ceo_prompt: str) -> None:
assert "Skill" in ceo_prompt
def test_plan_loop_before_build_mode(self, ceo_prompt: str) -> None:
- """Build workflow has research before builder in graph."""
+ """Design workflow has research before builder in graph."""
from factory.workflow.definitions import register_all
from factory.workflow.skill_export import _topological_sort
wfs = register_all()
- build = wfs["build"]
- order = _topological_sort(build)
+ design = wfs["design"]
+ order = _topological_sort(design)
researcher_ids = [nid for nid in order if "researcher" in nid]
builder_ids = [nid for nid in order if "builder" in nid]
if researcher_ids and builder_ids:
assert order.index(researcher_ids[0]) < order.index(builder_ids[0])
def test_plan_loop_spawns_researcher(self, ceo_prompt: str) -> None:
- """Build workflow skill includes researcher agent."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-build" / "SKILL.md"
- assert "researcher" in skill_path.read_text().lower()
+ """Design workflow skill includes researcher agent."""
+ design_skill = _generate_design_skill()
+ assert "researcher" in design_skill.lower()
def test_plan_loop_spawns_strategist(self, ceo_prompt: str) -> None:
- """Build workflow skill includes strategist agent."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-build" / "SKILL.md"
- assert "strategist" in skill_path.read_text().lower()
+ """Design workflow skill includes strategist agent."""
+ design_skill = _generate_design_skill()
+ assert "strategist" in design_skill.lower()
def test_plan_loop_has_iteration_limit(self, ceo_prompt: str) -> None:
- """Build workflow has gate nodes with RELOOP edges (iteration limits)."""
+ """Design workflow has gate nodes with RELOOP edges (iteration limits)."""
from factory.workflow.definitions import register_all
from factory.workflow.primitives import VerdictType
wfs = register_all()
- build = wfs["build"]
- reloop_edges = [e for e in build.edges if e.condition == VerdictType.RELOOP]
- assert len(reloop_edges) > 0, "Build workflow must have RELOOP edges"
+ design = wfs["design"]
+ reloop_edges = [e for e in design.edges if e.condition == VerdictType.RELOOP]
+ assert len(reloop_edges) > 0, "Design workflow must have RELOOP edges"
def test_plan_loop_persists_spec(self, ceo_prompt: str) -> None:
- """Build workflow skill references current.md for strategy."""
- skill_path = Path(__file__).parent.parent / "skills" / "workflow-build" / "SKILL.md"
- assert "current.md" in skill_path.read_text()
+ """Design workflow skill references current.md for strategy."""
+ design_skill = _generate_design_skill()
+ assert "current.md" in design_skill
def test_plan_loop_transitions_to_build(self, ceo_prompt: str) -> None:
- """Build workflow has builder after strategist in graph order."""
+ """Design workflow has builder after strategist in graph order."""
from factory.workflow.definitions import register_all
from factory.workflow.skill_export import _topological_sort
wfs = register_all()
- build = wfs["build"]
- order = _topological_sort(build)
+ design = wfs["design"]
+ order = _topological_sort(design)
strat_ids = [nid for nid in order if "strategist" in nid]
builder_ids = [nid for nid in order if "builder" in nid]
if strat_ids and builder_ids:
assert order.index(strat_ids[0]) < order.index(builder_ids[0])
def test_plan_loop_references_archivist(self, ceo_prompt: str) -> None:
- """Build workflow has archivist node."""
+ """Design workflow has archivist node."""
from factory.workflow.definitions import register_all
wfs = register_all()
- build = wfs["build"]
+ design = wfs["design"]
has_archivist = any(
hasattr(n, "role") and n.role.value == "archivist"
- for n in build.nodes.values()
+ for n in design.nodes.values()
)
assert has_archivist
+ def test_forbids_native_agent_tool(self, ceo_prompt: str) -> None:
+ """CEO prompt explicitly forbids using Claude Code's native Agent tool."""
+ assert "native" in ceo_prompt.lower() or "Agent" in ceo_prompt
+ assert "disallowedTools" in ceo_prompt or "--disallowedTools" in ceo_prompt
+
+ def test_forbidden_actions_list_agent_tool(self, ceo_prompt: str) -> None:
+ """The Forbidden Actions list includes native Agent tool prohibition."""
+ forbidden_section_start = ceo_prompt.index("**Forbidden Actions")
+ forbidden_section = ceo_prompt[forbidden_section_start:forbidden_section_start + 800]
+ assert "Agent" in forbidden_section
+ assert "factory agent" in forbidden_section
+
# ── Strategist Ideation Mode ─────────────────────────────────────
@@ -395,34 +402,3 @@ def test_mandatory_research_config_rule(self, strategist_prompt: str) -> None:
assert "This is a research project" in strategist_prompt
-# ── Factory Config Template ─────────────────────────────────────
-
-
-TEMPLATES_DIR = Path(__file__).parent.parent / "templates"
-
-
-class TestFactoryConfigTemplate:
- @pytest.fixture
- def template(self) -> str:
- return (TEMPLATES_DIR / "factory_config.md").read_text()
-
- def test_has_research_target_section(self, template: str) -> None:
- assert "## Research Target" in template
-
- def test_has_mutable_surfaces_section(self, template: str) -> None:
- assert "## Mutable Surfaces" in template
-
- def test_has_fixed_surfaces_section(self, template: str) -> None:
- assert "## Fixed Surfaces" in template
-
- def test_has_research_constraints_section(self, template: str) -> None:
- assert "## Research Constraints" in template
-
- def test_has_cost_budget_section(self, template: str) -> None:
- assert "## Cost Budget" in template
-
- def test_research_sections_after_constraints(self, template: str) -> None:
- """Research sections come after ## Constraints."""
- constraints_idx = template.index("## Constraints")
- research_idx = template.index("## Research Target")
- assert constraints_idx < research_idx
diff --git a/tests/test_qa_delegation.py b/tests/test_qa_delegation.py
index 4e8fcea2d..1f1bc6d08 100644
--- a/tests/test_qa_delegation.py
+++ b/tests/test_qa_delegation.py
@@ -1,11 +1,11 @@
-"""Tests for QA Agent delegation patterns in CEO and QA prompts.
+"""Tests for deep-QA delegation patterns in CEO and specialist prompts.
Verifies that:
-- The QA prompt covers all 3 verification sections
+- The specialist prompts exist for health_checker, code_reviewer, adversarial_tester
- The CEO prompt references skill-based routing (mode sections moved to SKILL.md)
- Generated workflow skills do not reference nonexistent agent roles
-- Builder precedes Evaluator in generated workflow skills (graph ordering)
-- Event-based flow validation detects Builder→QA sequencing
+- Builder precedes deep-QA pipeline in generated workflow skills (graph ordering)
+- Event-based flow validation detects Builder→specialist sequencing
"""
from __future__ import annotations
@@ -22,25 +22,22 @@
FIXTURES_DIR = Path(__file__).parent / "fixtures"
-@pytest.fixture
-def qa_prompt() -> str:
- return (PROMPTS_DIR / "qa.md").read_text()
-
-
@pytest.fixture
def ceo_prompt() -> str:
return (PROMPTS_DIR / "ceo.md").read_text()
-# ── QA Prompt Structure ──────────────────────────────────────────
+# ── Specialist Prompt Structure ─────────────────────────────────
-class TestQAPromptStructure:
- def test_qa_agent_prompt_covers_all_sections(self, qa_prompt: str) -> None:
- """QA prompt must define all 3 verification sections."""
- assert "### Section 1: Health Check" in qa_prompt
- assert "### Section 2: Code Review" in qa_prompt
- assert "### Section 3: Adversarial QA" in qa_prompt
+class TestSpecialistPromptStructure:
+ def test_specialist_prompts_exist(self) -> None:
+ """All 3 specialist agent prompts must exist."""
+ for role in ("health_checker", "code_reviewer", "adversarial_tester"):
+ prompt_path = PROMPTS_DIR / f"{role}.md"
+ assert prompt_path.exists(), f"Missing prompt for {role}"
+ content = prompt_path.read_text()
+ assert len(content) > 50, f"Prompt for {role} is too short"
# ── CEO Delegation Patterns ──────────────────────────────────────
@@ -52,9 +49,9 @@ def test_ceo_prompt_no_direct_eval_in_experiment_pipeline(
) -> None:
"""CEO prompt must not contain standalone `factory eval` calls.
- The CEO delegates all eval to QA Agent. Mode-specific pipelines
- now live in SKILL.md files, but the core CEO prompt should not
- contain any direct eval invocations.
+ The CEO delegates all eval to the deep-QA pipeline. Mode-specific
+ pipelines now live in SKILL.md files, but the core CEO prompt should
+ not contain any direct eval invocations.
"""
for match in re.finditer(r"`?factory eval`?", ceo_prompt):
hit = match.group()
@@ -62,14 +59,14 @@ def test_ceo_prompt_no_direct_eval_in_experiment_pipeline(
continue
pos = match.start()
preceding = ceo_prompt[:pos]
- last_qa_task = preceding.rfind('factory agent qa --task')
+ last_agent_task = preceding.rfind('factory agent')
last_code_block_end = preceding.rfind('```\n')
- if last_qa_task > last_code_block_end:
+ if last_agent_task > last_code_block_end:
continue
context = ceo_prompt[max(0, pos - 80):pos + 40]
pytest.fail(
f"Direct 'factory eval' found in CEO prompt outside "
- f"QA Agent task. Context: ...{context}..."
+ f"agent task. Context: ...{context}..."
)
def test_ceo_prompt_delegates_to_qa_after_builder(
@@ -108,40 +105,41 @@ def test_workflow_skills_use_valid_agent_roles(self) -> None:
# ── Event-Based Flow Validation ──────────────────────────────────
-def _check_builder_qa_sequence(events: list[dict]) -> bool:
- """Return True if every builder.completed is followed by a qa agent start."""
+def _check_builder_deep_qa_sequence(events: list[dict]) -> bool:
+ """Return True if every builder.completed is followed by a deep-QA specialist start."""
+ deep_qa_roles = {"health_checker", "code_reviewer", "adversarial_tester"}
for i, event in enumerate(events):
if event.get("type") == "agent.completed" and event.get("role") == "builder":
remaining = events[i + 1:]
- found_qa = any(
- e.get("type") == "agent.started" and e.get("role") == "qa"
+ found_specialist = any(
+ e.get("type") == "agent.started" and e.get("role") in deep_qa_roles
for e in remaining
)
- if not found_qa:
+ if not found_specialist:
return False
return True
class TestEventsFlowValidation:
- def test_events_jsonl_qa_after_builder(self) -> None:
- """Helper detects correct Builder→QA sequencing in events."""
+ def test_events_jsonl_deep_qa_after_builder(self) -> None:
+ """Helper detects correct Builder→deep-QA sequencing in events."""
events = [
{"type": "agent.started", "role": "builder"},
{"type": "agent.completed", "role": "builder"},
- {"type": "agent.started", "role": "qa"},
- {"type": "agent.completed", "role": "qa"},
+ {"type": "agent.started", "role": "health_checker"},
+ {"type": "agent.completed", "role": "health_checker"},
]
- assert _check_builder_qa_sequence(events) is True
+ assert _check_builder_deep_qa_sequence(events) is True
- def test_events_jsonl_detects_missing_qa(self) -> None:
- """Helper detects missing QA after Builder in events."""
+ def test_events_jsonl_detects_missing_deep_qa(self) -> None:
+ """Helper detects missing deep-QA after Builder in events."""
events = [
{"type": "agent.started", "role": "builder"},
{"type": "agent.completed", "role": "builder"},
{"type": "agent.started", "role": "archivist"},
{"type": "agent.completed", "role": "archivist"},
]
- assert _check_builder_qa_sequence(events) is False
+ assert _check_builder_deep_qa_sequence(events) is False
# ── Test Fixture Validation ──────────────────────────────────────
diff --git a/tests/test_refactory.py b/tests/test_refactory.py
index 74d6d24dd..ade369115 100644
--- a/tests/test_refactory.py
+++ b/tests/test_refactory.py
@@ -6,7 +6,6 @@
import os
import stat
from pathlib import Path
-from typing import get_args
from unittest.mock import patch
import pytest
@@ -138,10 +137,10 @@ def test_corrupt_json_generates_new(self, tmp_path: Path) -> None:
class TestAgentRegistration:
- def test_refactory_role_in_agent_role(self) -> None:
+ def test_agent_role_accepts_any_string(self) -> None:
from factory.agents.runner import AgentRole
- assert "refactory" in get_args(AgentRole)
+ assert AgentRole is str
def test_refactory_in_agents_yml(self) -> None:
import yaml
@@ -257,6 +256,36 @@ def test_model_flag_forwarded(self, tmp_path: Path) -> None:
model_idx = cmd.index("--model")
assert cmd[model_idx + 1] == "sonnet"
+ def test_new_session_includes_disallowed_tools(self, tmp_path: Path) -> None:
+ from factory.cli import cmd_refactory, build_parser
+
+ parser = build_parser()
+ args = parser.parse_args(["refactory", str(tmp_path)])
+ with patch("shutil.which", return_value="/usr/bin/claude"), \
+ patch("os.execvp") as mock_exec:
+ cmd_refactory(args)
+
+ cmd = mock_exec.call_args[0][1]
+ assert "--disallowedTools" in cmd
+ dt_idx = cmd.index("--disallowedTools")
+ assert cmd[dt_idx + 1] == "Agent"
+
+ def test_resume_session_includes_disallowed_tools(self, tmp_path: Path) -> None:
+ from factory.cli import cmd_refactory, build_parser
+
+ save_session_id(tmp_path, "existing-uuid")
+ parser = build_parser()
+ args = parser.parse_args(["refactory", str(tmp_path)])
+ with patch("shutil.which", return_value="/usr/bin/claude"), \
+ patch("os.execvp") as mock_exec:
+ cmd_refactory(args)
+
+ cmd = mock_exec.call_args[0][1]
+ assert "--resume" in cmd
+ assert "--disallowedTools" in cmd
+ dt_idx = cmd.index("--disallowedTools")
+ assert cmd[dt_idx + 1] == "Agent"
+
def test_default_path_uses_cwd(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
from factory.cli import cmd_refactory, build_parser
diff --git a/tests/test_registry.py b/tests/test_registry.py
index 9c8f68f8c..bd0eb155e 100644
--- a/tests/test_registry.py
+++ b/tests/test_registry.py
@@ -6,7 +6,6 @@
_load_registry,
get_project_paths,
list_projects,
- populate_from_directory,
register_project,
update_project_stats,
)
@@ -44,7 +43,9 @@ def test_update_project_stats(tmp_path: Path) -> None:
register_project(project, registry_path=registry_path)
update_project_stats(
- project, experiment_count=5, latest_score=0.85,
+ project,
+ experiment_count=5,
+ latest_score=0.85,
registry_path=registry_path,
)
@@ -61,7 +62,8 @@ def test_update_project_stats_not_found(tmp_path: Path) -> None:
# Should not raise — just logs a warning
update_project_stats(
- project, experiment_count=5,
+ project,
+ experiment_count=5,
registry_path=registry_path,
)
@@ -109,41 +111,3 @@ def test_load_registry_corrupt(tmp_path: Path) -> None:
registry_path.write_text("not json")
registry = _load_registry(registry_path)
assert registry.projects == []
-
-
-def test_populate_from_directory(tmp_path: Path) -> None:
- registry_path = tmp_path / "registry.json"
-
- # Create a project with .factory/results.tsv
- project = tmp_path / "projects" / "proj1"
- factory_dir = project / ".factory"
- factory_dir.mkdir(parents=True)
- (factory_dir / "results.tsv").write_text("id\ttimestamp\thypothesis\n")
-
- added = populate_from_directory(
- tmp_path / "projects", registry_path=registry_path,
- )
- assert added == 1
-
- entries = list_projects(registry_path=registry_path)
- assert len(entries) == 1
- assert entries[0].name == "proj1"
-
-
-def test_populate_from_directory_idempotent(tmp_path: Path) -> None:
- registry_path = tmp_path / "registry.json"
-
- project = tmp_path / "projects" / "proj1"
- factory_dir = project / ".factory"
- factory_dir.mkdir(parents=True)
- (factory_dir / "results.tsv").write_text("id\ttimestamp\thypothesis\n")
-
- added1 = populate_from_directory(
- tmp_path / "projects", registry_path=registry_path,
- )
- added2 = populate_from_directory(
- tmp_path / "projects", registry_path=registry_path,
- )
-
- assert added1 == 1
- assert added2 == 0
diff --git a/tests/test_report.py b/tests/test_report.py
index 07cac4006..833b29ca6 100644
--- a/tests/test_report.py
+++ b/tests/test_report.py
@@ -176,3 +176,290 @@ def test_verdict_patterns_in_report(tmp_path: Path) -> None:
report = build_performance_report(project)
assert "researcher:PROCEED" in report.verdict_patterns
assert "builder:REDIRECT" in report.verdict_patterns
+
+
+# ── _extract_exp_number ──────────────────────────────────────────
+
+
+def test_extract_exp_number_with_prefix() -> None:
+ from factory.report import _extract_exp_number
+
+ assert _extract_exp_number("myproject-042") == "042"
+
+
+def test_extract_exp_number_digits_only() -> None:
+ from factory.report import _extract_exp_number
+
+ assert _extract_exp_number("042") == "042"
+
+
+def test_extract_exp_number_no_digits() -> None:
+ from factory.report import _extract_exp_number
+
+ assert _extract_exp_number("no-number-here") == "no-number-here"
+
+
+# ── parse_ceo_verdicts — experiment ID and no-verdict skip ───────
+
+
+def test_parse_ceo_verdicts_with_experiment_id(tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ (factory_dir / "reviews" / "ceo-verdict-qa.md").write_text(
+ "## CEO Review: QA Agent\n"
+ "Results from experiment 3\n"
+ "- **Verdict:** ABORT\n"
+ "- **Rationale:** Critical failure\n"
+ )
+
+ verdicts = parse_ceo_verdicts(project)
+ assert len(verdicts) == 1
+ assert verdicts[0].experiment_id == 3
+ assert verdicts[0].verdict == "ABORT"
+
+
+def test_parse_ceo_verdicts_no_verdict_match(tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ (factory_dir / "reviews" / "ceo-verdict-builder.md").write_text(
+ "## CEO Review: Builder Agent\n"
+ "No structured verdict here, just free text.\n"
+ )
+
+ verdicts = parse_ceo_verdicts(project)
+ assert verdicts == []
+
+
+# ── parse_observations — archive JSON files ─────────────────────
+
+
+def test_parse_observations_archive_json_valid(tmp_path: Path) -> None:
+ """Valid JSON dict with 'learned' key in archive/experiments/."""
+ import json
+
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_exp = factory_dir / "archive" / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ (archive_exp / "proj-001.json").write_text(
+ json.dumps({"learned": "We discovered that caching improves throughput significantly."})
+ )
+
+ observations = parse_observations(project)
+ assert any("caching" in o.content for o in observations)
+ assert any("archive" in o.tags for o in observations)
+
+
+def test_parse_observations_archive_json_invalid(tmp_path: Path) -> None:
+ """Invalid JSON in archive/experiments/ should be skipped."""
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_exp = factory_dir / "archive" / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ (archive_exp / "bad.json").write_text("not valid json {{{")
+
+ observations = parse_observations(project)
+ json_obs = [o for o in observations if "bad.json" in o.source]
+ assert json_obs == []
+
+
+def test_parse_observations_archive_json_non_dict(tmp_path: Path) -> None:
+ """JSON that parses to a non-dict (e.g. a list) should be skipped."""
+ import json
+
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_exp = factory_dir / "archive" / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ (archive_exp / "list.json").write_text(json.dumps([1, 2, 3]))
+
+ observations = parse_observations(project)
+ json_obs = [o for o in observations if "list.json" in o.source]
+ assert json_obs == []
+
+
+def test_parse_observations_archive_md_skipped_by_exp_number(tmp_path: Path) -> None:
+ """An .md file whose exp number overlaps with a seen JSON exp number should be skipped."""
+ import json
+
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_exp = factory_dir / "archive" / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ # JSON for experiment 007 — will be seen first
+ (archive_exp / "proj-007.json").write_text(
+ json.dumps({"learned": "JSON observation that is long enough to pass the 10-char threshold."})
+ )
+ # MD for same experiment number — should be skipped
+ (archive_exp / "proj-007.md").write_text(
+ "This is a markdown note for the same experiment that should be skipped because JSON was already seen."
+ )
+
+ observations = parse_observations(project)
+ md_obs = [o for o in observations if o.source.endswith("proj-007.md")]
+ assert md_obs == []
+ json_obs = [o for o in observations if o.source.endswith("proj-007.json")]
+ assert len(json_obs) == 1
+
+
+def test_parse_observations_archive_md_short_content(tmp_path: Path) -> None:
+ """An .md file with content shorter than 50 chars should be skipped."""
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_exp = factory_dir / "archive" / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ (archive_exp / "short.md").write_text("Too short.")
+
+ observations = parse_observations(project)
+ short_obs = [o for o in observations if "short.md" in o.source]
+ assert short_obs == []
+
+
+def test_parse_observations_non_experiment_archive_skip_experiment_subdir(tmp_path: Path) -> None:
+ """Non-experiment archive .md files that ARE under archive/experiments/ should be skipped
+ in the final loop (line 134)."""
+
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_dir = factory_dir / "archive"
+ archive_exp = archive_dir / "experiments"
+ archive_exp.mkdir(parents=True)
+
+ # A patterns dir outside experiments — should be picked up
+ patterns_dir = archive_dir / "patterns"
+ patterns_dir.mkdir()
+ (patterns_dir / "pattern1.md").write_text(
+ "This is a pattern note that is long enough to exceed the 50-char threshold for inclusion."
+ )
+
+ observations = parse_observations(project)
+ pattern_obs = [o for o in observations if "pattern1.md" in o.source]
+ assert len(pattern_obs) == 1
+
+
+def test_parse_observations_non_experiment_archive_short_md(tmp_path: Path) -> None:
+ """Non-experiment archive .md files shorter than 50 chars should be skipped (line 139)."""
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ archive_dir = factory_dir / "archive"
+ archive_dir.mkdir(parents=True)
+
+ patterns_dir = archive_dir / "patterns"
+ patterns_dir.mkdir()
+ (patterns_dir / "tiny.md").write_text("Short.")
+
+ observations = parse_observations(project)
+ tiny_obs = [o for o in observations if "tiny.md" in o.source]
+ assert tiny_obs == []
+
+
+# ── _parse_datetimes ─────────────────────────────────────────────
+
+
+def test_parse_datetimes_converts_iso_strings() -> None:
+ from datetime import datetime
+
+ from factory.report import _parse_datetimes
+
+ data: dict = {
+ "generated_at": "2026-01-15T10:30:00",
+ "observations": [
+ {"timestamp": "2026-01-14T08:00:00", "other": "value"},
+ {"timestamp": "2026-01-13T09:00:00"},
+ ],
+ }
+ _parse_datetimes(data)
+
+ assert isinstance(data["generated_at"], datetime)
+ assert data["generated_at"].year == 2026
+ assert data["generated_at"].month == 1
+ assert data["generated_at"].day == 15
+
+ for obs in data["observations"]:
+ assert isinstance(obs["timestamp"], datetime)
+
+
+def test_parse_datetimes_skips_non_string_values() -> None:
+ from datetime import datetime
+
+ from factory.report import _parse_datetimes
+
+ now = datetime.now()
+ data: dict = {
+ "generated_at": now,
+ "observations": [{"timestamp": now}],
+ }
+ _parse_datetimes(data)
+
+ # Should remain unchanged
+ assert data["generated_at"] is now
+ assert data["observations"][0]["timestamp"] is now
+
+
+# ── build_performance_report — store.load_history() exception ────
+
+
+def test_build_performance_report_history_exception(tmp_path: Path) -> None:
+ """When store.load_history() raises, records should default to []."""
+ from unittest.mock import AsyncMock, patch
+
+ project = tmp_path / "proj"
+ _make_factory_dir(project)
+
+ mock_store = AsyncMock()
+ mock_store.load_history.side_effect = RuntimeError("DB gone")
+
+ with patch("factory.store.ExperimentStore", return_value=mock_store):
+ report = build_performance_report(project)
+
+ assert report.total_experiments == 0
+ assert report.keep_count == 0
+ assert report.revert_count == 0
+ assert report.error_count == 0
+ assert report.latest_score is None
+
+
+def test_parse_observations_section_no_content(tmp_path: Path) -> None:
+ """Observation sections with title only (no content) should be skipped (line 83)."""
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ (factory_dir / "strategy" / "observations.md").write_text(
+ "## Empty Section\n\n## Also Empty\n"
+ )
+
+ observations = parse_observations(project)
+ assert observations == []
+
+
+def test_parse_ceo_verdicts_issues_with_empty_line(tmp_path: Path) -> None:
+ """Issues block with a blank line between items — blank line should be skipped (line 50)."""
+ project = tmp_path / "proj"
+ factory_dir = _make_factory_dir(project)
+
+ (factory_dir / "reviews" / "ceo-verdict-qa.md").write_text(
+ "- **Verdict:** REDIRECT\n"
+ "- **Rationale:** Needs work\n"
+ "- **Issues found:**\n"
+ "- First issue\n"
+ "\n"
+ "- Second issue\n"
+ )
+
+ verdicts = parse_ceo_verdicts(project)
+ assert len(verdicts) == 1
+ assert len(verdicts[0].issues) == 2
diff --git a/tests/test_research_index.py b/tests/test_research_index.py
index e164c3711..684eea709 100644
--- a/tests/test_research_index.py
+++ b/tests/test_research_index.py
@@ -10,7 +10,6 @@
build_citation_index,
citation_coverage,
extract_citations,
- uncited_experiments,
)
@@ -21,9 +20,19 @@ def _write_results_tsv(project_path: Path, rows: list[dict]) -> None:
tsv_path = factory_dir / "results.tsv"
fieldnames = [
- "id", "timestamp", "hypothesis", "change_summary", "issue_number",
- "pr_number", "score_before", "score_after", "delta", "verdict",
- "cost_usd", "notes", "research_citations",
+ "id",
+ "timestamp",
+ "hypothesis",
+ "change_summary",
+ "issue_number",
+ "pr_number",
+ "score_before",
+ "score_after",
+ "delta",
+ "verdict",
+ "cost_usd",
+ "notes",
+ "research_citations",
]
buf = StringIO()
writer = csv.DictWriter(buf, fieldnames=fieldnames, dialect="excel-tab")
@@ -85,10 +94,13 @@ def test_empty_project(self, tmp_path: Path) -> None:
assert index == {}
def test_extracts_from_hypothesis(self, tmp_path: Path) -> None:
- _write_results_tsv(tmp_path, [
- _make_row(1, hypothesis="Fix issue #115 based on https://example.com"),
- _make_row(2, hypothesis="Just a plain hypothesis"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, hypothesis="Fix issue #115 based on https://example.com"),
+ _make_row(2, hypothesis="Just a plain hypothesis"),
+ ],
+ )
index = backfill_citations(tmp_path)
assert "1" in index
assert "#115" in index["1"]
@@ -96,20 +108,26 @@ def test_extracts_from_hypothesis(self, tmp_path: Path) -> None:
assert "2" not in index
def test_writes_citations_json(self, tmp_path: Path) -> None:
- _write_results_tsv(tmp_path, [
- _make_row(1, hypothesis="See #42"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, hypothesis="See #42"),
+ ],
+ )
backfill_citations(tmp_path)
citations_file = tmp_path / ".factory" / "citations.json"
assert citations_file.exists()
def test_coverage_uses_backfill(self, tmp_path: Path) -> None:
"""citation_coverage should read from backfilled citations.json."""
- _write_results_tsv(tmp_path, [
- _make_row(1, hypothesis="Fix issue #115"),
- _make_row(2, hypothesis="Fix issue #42"),
- _make_row(3, hypothesis="Plain hypothesis"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, hypothesis="Fix issue #115"),
+ _make_row(2, hypothesis="Fix issue #42"),
+ _make_row(3, hypothesis="Plain hypothesis"),
+ ],
+ )
assert citation_coverage(tmp_path) == 0.0
backfill_citations(tmp_path)
coverage = citation_coverage(tmp_path)
@@ -124,20 +142,26 @@ def test_empty_project(self, tmp_path: Path) -> None:
def test_no_citations(self, tmp_path: Path) -> None:
"""Experiments without citations produce empty index."""
- _write_results_tsv(tmp_path, [
- _make_row(1),
- _make_row(2),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1),
+ _make_row(2),
+ ],
+ )
index = build_citation_index(tmp_path)
assert index == {}
def test_with_citations(self, tmp_path: Path) -> None:
"""Experiments with citations appear in the index."""
- _write_results_tsv(tmp_path, [
- _make_row(1, citations="https://arxiv.org/abs/1234|#42"),
- _make_row(2),
- _make_row(3, citations="Ideas/Research.md"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, citations="https://arxiv.org/abs/1234|#42"),
+ _make_row(2),
+ _make_row(3, citations="Ideas/Research.md"),
+ ],
+ )
index = build_citation_index(tmp_path)
assert 1 in index
assert index[1] == ["https://arxiv.org/abs/1234", "#42"]
@@ -147,9 +171,12 @@ def test_with_citations(self, tmp_path: Path) -> None:
def test_single_citation(self, tmp_path: Path) -> None:
"""Single citation (no pipe separator) works correctly."""
- _write_results_tsv(tmp_path, [
- _make_row(1, citations="https://example.com"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, citations="https://example.com"),
+ ],
+ )
index = build_citation_index(tmp_path)
assert index[1] == ["https://example.com"]
@@ -168,21 +195,22 @@ def test_no_citations(self, tmp_path: Path) -> None:
def test_partial_coverage(self, tmp_path: Path) -> None:
"""Some cited experiments return correct fraction."""
- _write_results_tsv(tmp_path, [
- _make_row(1, citations="https://example.com"),
- _make_row(2),
- _make_row(3, citations="#55"),
- _make_row(4),
- _make_row(5),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(1, citations="https://example.com"),
+ _make_row(2),
+ _make_row(3, citations="#55"),
+ _make_row(4),
+ _make_row(5),
+ ],
+ )
coverage = citation_coverage(tmp_path)
assert coverage == 2 / 5
def test_full_coverage(self, tmp_path: Path) -> None:
"""All cited experiments return 1.0 coverage."""
- _write_results_tsv(tmp_path, [
- _make_row(i, citations=f"ref-{i}") for i in range(1, 4)
- ])
+ _write_results_tsv(tmp_path, [_make_row(i, citations=f"ref-{i}") for i in range(1, 4)])
coverage = citation_coverage(tmp_path)
assert coverage == 1.0
@@ -195,38 +223,6 @@ def test_uses_last_10(self, tmp_path: Path) -> None:
assert coverage == 1 / 10 # 1 cited in last 10
-class TestUncitedExperiments:
- def test_empty_project(self, tmp_path: Path) -> None:
- uncited = uncited_experiments(tmp_path)
- assert uncited == []
-
- def test_all_cited(self, tmp_path: Path) -> None:
- _write_results_tsv(tmp_path, [
- _make_row(1, citations="ref-1"),
- _make_row(2, citations="ref-2"),
- ])
- uncited = uncited_experiments(tmp_path)
- assert uncited == []
-
- def test_some_uncited(self, tmp_path: Path) -> None:
- _write_results_tsv(tmp_path, [
- _make_row(1, citations="ref-1"),
- _make_row(2),
- _make_row(3, citations="ref-3"),
- _make_row(4),
- ])
- uncited = uncited_experiments(tmp_path)
- assert uncited == [2, 4]
-
- def test_uses_last_10(self, tmp_path: Path) -> None:
- """Only last 10 experiments are considered."""
- rows = [_make_row(i, citations=f"ref-{i}") for i in range(1, 13)] # 12 cited
- rows[-1]["research_citations"] = "" # last one uncited
- _write_results_tsv(tmp_path, rows)
- uncited = uncited_experiments(tmp_path)
- assert uncited == [12]
-
-
class TestCmdResearch:
def test_no_experiments(self, tmp_path: Path, capsys) -> None:
import argparse
@@ -240,10 +236,15 @@ def test_no_experiments(self, tmp_path: Path, capsys) -> None:
def test_output_format(self, tmp_path: Path, capsys) -> None:
import argparse
- _write_results_tsv(tmp_path, [
- _make_row(1, hypothesis="Add structured logging", citations="https://example.com|#42"),
- _make_row(2, hypothesis="Fix crash in parser"),
- ])
+ _write_results_tsv(
+ tmp_path,
+ [
+ _make_row(
+ 1, hypothesis="Add structured logging", citations="https://example.com|#42"
+ ),
+ _make_row(2, hypothesis="Fix crash in parser"),
+ ],
+ )
args = argparse.Namespace(path=str(tmp_path))
ret = cmd_research(args)
assert ret == 0
diff --git a/tests/test_research_runner.py b/tests/test_research_runner.py
index 67eea47d0..cb0d3da0a 100644
--- a/tests/test_research_runner.py
+++ b/tests/test_research_runner.py
@@ -9,7 +9,6 @@
from factory.research.runner import (
create_run_dir,
execute_run,
- load_run_summary,
parse_result,
)
@@ -34,7 +33,7 @@ def _config(
class TestExecuteRunSuccess:
async def test_pass_with_metric(self, tmp_path: Path) -> None:
result_path = tmp_path / "results.json"
- cmd = f'echo ok && echo \'{{"accuracy": 0.95}}\' > {result_path}'
+ cmd = f"echo ok && echo '{{\"accuracy\": 0.95}}' > {result_path}"
config = _config(tmp_path, command=cmd)
result = await execute_run(tmp_path, config, "cycle-001")
@@ -47,7 +46,7 @@ async def test_pass_with_metric(self, tmp_path: Path) -> None:
async def test_artifacts_written(self, tmp_path: Path) -> None:
result_path = tmp_path / "results.json"
- cmd = f'echo hello && echo \'{{"accuracy": 0.5}}\' > {result_path}'
+ cmd = f"echo hello && echo '{{\"accuracy\": 0.5}}' > {result_path}"
config = _config(tmp_path, command=cmd)
result = await execute_run(tmp_path, config, "cycle-002")
@@ -72,7 +71,7 @@ async def test_nonzero_exit(self, tmp_path: Path) -> None:
async def test_parse_error(self, tmp_path: Path) -> None:
result_path = tmp_path / "results.json"
- cmd = f'echo \'{{"wrong_key": 1}}\' > {result_path}'
+ cmd = f"echo '{{\"wrong_key\": 1}}' > {result_path}"
config = _config(tmp_path, command=cmd)
result = await execute_run(tmp_path, config, "cycle-parse-err")
@@ -170,24 +169,3 @@ def test_valid_cycle_id(self, tmp_path: Path) -> None:
run_dir = create_run_dir(tmp_path, "cycle-001")
assert run_dir.exists()
assert run_dir.name == "cycle-001"
-
-
-class TestLoadRunSummary:
- def test_corrupt_json_returns_none(self, tmp_path: Path) -> None:
- runs_dir = tmp_path / ".factory" / "research" / "runs" / "c1"
- runs_dir.mkdir(parents=True)
- (runs_dir / "summary.json").write_text("{broken")
- assert load_run_summary(runs_dir) is None
-
- def test_missing_returns_none(self, tmp_path: Path) -> None:
- runs_dir = tmp_path / ".factory" / "research" / "runs" / "c1"
- runs_dir.mkdir(parents=True)
- assert load_run_summary(runs_dir) is None
-
- def test_valid_json(self, tmp_path: Path) -> None:
- runs_dir = tmp_path / ".factory" / "research" / "runs" / "c1"
- runs_dir.mkdir(parents=True)
- data = {"status": "PASS", "metric_value": 0.9}
- (runs_dir / "summary.json").write_text(json.dumps(data))
- result = load_run_summary(runs_dir)
- assert result == data
diff --git a/tests/test_research_store.py b/tests/test_research_store.py
index 76a1d2a78..e377c9eba 100644
--- a/tests/test_research_store.py
+++ b/tests/test_research_store.py
@@ -5,10 +5,7 @@
from factory.research.runner import (
create_run_dir,
ensure_research_dir,
- list_runs,
- load_run_summary,
save_run_summary,
- write_comparison,
)
@@ -36,45 +33,9 @@ def test_idempotent(self, tmp_path: Path) -> None:
assert d1 == d2
-class TestSaveLoadRunSummary:
- def test_round_trip(self, tmp_path: Path) -> None:
+class TestSaveRunSummary:
+ def test_writes_summary(self, tmp_path: Path) -> None:
run_dir = create_run_dir(tmp_path, "cycle-001")
summary = {"status": "PASS", "metric_value": 0.95, "duration_seconds": 12.3}
save_run_summary(run_dir, summary)
- loaded = load_run_summary(run_dir)
- assert loaded == summary
-
- def test_load_missing(self, tmp_path: Path) -> None:
- assert load_run_summary(tmp_path) is None
-
-
-class TestListRuns:
- def test_empty(self, tmp_path: Path) -> None:
- assert list_runs(tmp_path) == []
-
- def test_no_research_dir(self, tmp_path: Path) -> None:
- assert list_runs(tmp_path) == []
-
- def test_sorted_order(self, tmp_path: Path) -> None:
- create_run_dir(tmp_path, "cycle-003")
- create_run_dir(tmp_path, "cycle-001")
- create_run_dir(tmp_path, "cycle-002")
- runs = list_runs(tmp_path)
- names = [r.name for r in runs]
- assert names == ["cycle-001", "cycle-002", "cycle-003"]
-
- def test_ignores_files(self, tmp_path: Path) -> None:
- ensure_research_dir(tmp_path)
- (tmp_path / ".factory" / "research" / "runs" / "not_a_dir.txt").write_text("")
- create_run_dir(tmp_path, "cycle-001")
- runs = list_runs(tmp_path)
- assert len(runs) == 1
- assert runs[0].name == "cycle-001"
-
-
-class TestWriteComparison:
- def test_creates_comparison_file(self, tmp_path: Path) -> None:
- write_comparison(tmp_path, "cycle-002", "cycle-001", "# Comparison\nBetter.")
- path = tmp_path / ".factory" / "research" / "comparison_cycle-001_vs_cycle-002.md"
- assert path.exists()
- assert "Better." in path.read_text()
+ assert (run_dir / "summary.json").exists()
diff --git a/tests/test_review.py b/tests/test_review.py
new file mode 100644
index 000000000..b3ff88df2
--- /dev/null
+++ b/tests/test_review.py
@@ -0,0 +1,106 @@
+"""Tests for factory/review.py — review posting and draft PR lifecycle."""
+
+from __future__ import annotations
+
+import subprocess
+from unittest.mock import patch
+
+from factory.review import mark_pr_ready, post_review
+
+
+class TestMarkPrReady:
+ def test_success(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ assert mark_pr_ready(42) is True
+ mock_run.assert_called_once_with(
+ ["gh", "pr", "ready", "42"],
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+
+ def test_success_with_repo(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ assert mark_pr_ready(7, repo="owner/repo") is True
+ mock_run.assert_called_once_with(
+ ["gh", "pr", "ready", "7", "--repo", "owner/repo"],
+ capture_output=True,
+ text=True,
+ timeout=30,
+ )
+
+ def test_failure_returns_false(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=1, stderr="not a draft"
+ )
+ assert mark_pr_ready(42) is False
+
+ def test_idempotent_already_ready(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ assert mark_pr_ready(42) is True
+
+ def test_timeout_returns_false(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.side_effect = subprocess.TimeoutExpired(cmd=[], timeout=30)
+ assert mark_pr_ready(42) is False
+
+ def test_gh_not_found_returns_false(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.side_effect = FileNotFoundError()
+ assert mark_pr_ready(42) is False
+
+
+class TestPostReviewDraftLifecycle:
+ def test_keep_calls_mark_pr_ready(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ post_review(10, "body", "KEEP")
+ calls = mock_run.call_args_list
+ assert len(calls) == 2
+ assert calls[0].args[0] == ["gh", "pr", "review", "10", "--approve", "--body", "body"]
+ assert calls[1].args[0] == ["gh", "pr", "ready", "10"]
+
+ def test_keep_with_repo_passes_repo(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ post_review(10, "body", "KEEP", repo="owner/repo")
+ calls = mock_run.call_args_list
+ assert len(calls) == 2
+ assert calls[1].args[0] == ["gh", "pr", "ready", "10", "--repo", "owner/repo"]
+
+ def test_revert_does_not_call_mark_pr_ready(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run:
+ mock_run.return_value = subprocess.CompletedProcess(args=[], returncode=0)
+ post_review(10, "body", "REVERT")
+ calls = mock_run.call_args_list
+ assert len(calls) == 1
+ assert "review" in calls[0].args[0]
+
+ def test_review_failure_skips_mark_pr_ready(self) -> None:
+ with patch("factory.review.subprocess.run") as mock_run, \
+ patch("factory.review._post_comment", return_value=False):
+ mock_run.return_value = subprocess.CompletedProcess(
+ args=[], returncode=1, stderr="error"
+ )
+ post_review(10, "body", "KEEP")
+ ready_calls = [c for c in mock_run.call_args_list if "ready" in c.args[0]]
+ assert len(ready_calls) == 0
+
+ def test_keep_fallback_comment_still_marks_ready(self) -> None:
+ def side_effect(*args, **kwargs):
+ cmd = args[0]
+ if "review" in cmd:
+ return subprocess.CompletedProcess(args=[], returncode=1, stderr="no perms")
+ return subprocess.CompletedProcess(args=[], returncode=0)
+
+ with patch("factory.review.subprocess.run", side_effect=side_effect) as mock_run, \
+ patch("factory.review._post_comment", return_value=True):
+ result = post_review(10, "body", "KEEP")
+ assert result is True
+ ready_calls = [c for c in mock_run.call_args_list if "ready" in c.args[0]]
+ assert len(ready_calls) == 1
+ assert ready_calls[0].args[0] == ["gh", "pr", "ready", "10"]
diff --git a/tests/test_runner.py b/tests/test_runner.py
index 78894d4f1..5f7efce6e 100644
--- a/tests/test_runner.py
+++ b/tests/test_runner.py
@@ -5,7 +5,34 @@
from pathlib import Path
from unittest.mock import patch
-from factory.agents.runner import _save_review, resolve_prompt
+import pytest
+
+from factory.agents.runner import _save_review, resolve_prompt, resolve_prompt_core
+
+
+class TestResolvePromptCore:
+ def test_returns_string_under_40000_bytes(self) -> None:
+ core = resolve_prompt_core()
+ assert isinstance(core, str)
+ assert len(core.encode("utf-8")) < 40000
+
+ def test_contains_sacred_rules(self) -> None:
+ core = resolve_prompt_core()
+ assert "Sacred Rules" in core
+
+ def test_contains_agent_dispatch_syntax(self) -> None:
+ core = resolve_prompt_core()
+ assert "factory agent" in core
+
+ def test_contains_review_verdicts(self) -> None:
+ core = resolve_prompt_core()
+ assert "PROCEED" in core
+ assert "REDIRECT" in core
+ assert "ABORT" in core
+
+ def test_contains_mode_pointer(self) -> None:
+ core = resolve_prompt_core()
+ assert ".factory/strategy/current.md" in core
class TestResolvePromptWithProfile:
@@ -42,6 +69,60 @@ def test_profile_after_playbook(self, tmp_path: Path) -> None:
assert profile_idx > playbook_idx
+class TestResolvePromptWithWorkflowMode:
+ def test_ceo_with_workflow_mode_injects_skill(self, tmp_path: Path) -> None:
+ skill_dir = tmp_path / "skills" / "workflow-improve"
+ skill_dir.mkdir(parents=True)
+ (skill_dir / "SKILL.md").write_text("# Improve Workflow\n\nStep 1: study")
+ prompt = resolve_prompt("ceo", tmp_path, workflow_mode="improve")
+ assert "# Workflow Playbook (improve)" in prompt
+ assert "# Improve Workflow" in prompt
+ assert "Step 1: study" in prompt
+
+ def test_ceo_without_workflow_mode_no_skill(self, tmp_path: Path) -> None:
+ prompt = resolve_prompt("ceo", tmp_path)
+ assert "# Workflow Playbook" not in prompt
+
+ def test_non_ceo_role_ignores_workflow_mode(self, tmp_path: Path) -> None:
+ skill_dir = tmp_path / "skills" / "workflow-improve"
+ skill_dir.mkdir(parents=True)
+ (skill_dir / "SKILL.md").write_text("# Improve Workflow\n\nStep 1: study")
+ prompt = resolve_prompt("researcher", tmp_path, workflow_mode="improve")
+ assert "# Workflow Playbook" not in prompt
+
+ def test_missing_skill_file_raises_error(self, tmp_path: Path) -> None:
+ with pytest.raises(FileNotFoundError, match="SKILL.md not found"):
+ resolve_prompt("ceo", tmp_path, workflow_mode="nonexistent")
+
+
+class TestBuildCeoTaskNoSkillRead:
+ def test_improve_mode_no_skill_read_instruction(self, tmp_path: Path) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(tmp_path, "improve")
+ assert "read `skills/workflow-" not in task
+ assert "playbook" in task.lower()
+
+ def test_build_mode_no_skill_read_instruction(self, tmp_path: Path) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(tmp_path, "build")
+ assert "read `skills/workflow-" not in task
+
+ def test_create_mode_no_skill_read_instruction(self, tmp_path: Path) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(tmp_path, "create")
+ assert "read `skills/workflow-" not in task
+ assert "skills/workflow-create/SKILL.md" not in task
+
+ def test_research_mode_no_skill_read_instruction(self, tmp_path: Path) -> None:
+ from factory.cli._task_builder import _build_ceo_task
+
+ task = _build_ceo_task(tmp_path, "research")
+ assert "read `skills/workflow-" not in task
+
+
class TestSaveReview:
def test_creates_reviews_dir(self, tmp_path: Path) -> None:
project = tmp_path / "myproject"
diff --git a/tests/test_runner_e2e.py b/tests/test_runner_e2e.py
index 341bbed79..8137398d5 100644
--- a/tests/test_runner_e2e.py
+++ b/tests/test_runner_e2e.py
@@ -25,17 +25,19 @@
import pytest
-from factory.agents.runner import invoke_agent, reset_failure_counter
+from factory.agents.runner import invoke_agent
from factory.runners import get_all_runner_meta, get_available_runners, get_runner
-_DRY_RUN_VARS = ["FACTORY_BOB_DRY_RUN", "FACTORY_CODEX_DRY_RUN", "FACTORY_OPENCODE_DRY_RUN"]
+_DRY_RUN_VARS: list[str] = []
@pytest.fixture(autouse=True)
def _e2e_env_reset() -> None:
"""Clear dry-run flags and reset failure counter for e2e tests."""
+ import factory.agents.runner as runner_mod
+
saved = {k: os.environ.pop(k, None) for k in _DRY_RUN_VARS}
- reset_failure_counter()
+ runner_mod._consecutive_failures = 0
yield # type: ignore[misc]
time.sleep(1)
for k, v in saved.items():
@@ -43,7 +45,7 @@ def _e2e_env_reset() -> None:
os.environ[k] = v
else:
os.environ.pop(k, None)
- reset_failure_counter()
+ runner_mod._consecutive_failures = 0
# ── auth detection ──────────────────────────────────────────────
@@ -60,43 +62,9 @@ def _runner_has_auth(name: str) -> bool:
if not meta.is_available():
return False
- if name == "bob":
- # Bob stores auth in ~/.bob/, not env vars — if the binary responds, it's authed
- try:
- result = subprocess.run(
- ["bob", "--version"],
- capture_output=True, text=True, timeout=10,
- )
- return result.returncode == 0
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return False
-
- if name == "codex":
- # Codex uses ChatGPT OAuth — check via login status
- if os.environ.get("CODEX_API_KEY") or os.environ.get("OPENAI_API_KEY"):
- return True
- try:
- result = subprocess.run(
- ["codex", "login", "status"],
- capture_output=True, text=True, timeout=10,
- )
- return result.returncode == 0
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return False
-
- if name == "opencode":
- if os.environ.get("OPENAI_API_KEY"):
- return True
- try:
- result = subprocess.run(
- ["zsh", "-c", "source ~/.zshrc 2>/dev/null && echo $OPENAI_API_KEY"],
- capture_output=True, text=True, timeout=5,
- )
- return bool(result.stdout.strip())
- except (FileNotFoundError, subprocess.TimeoutExpired):
- return False
+ if name != "claude":
+ return False
- # Claude — if binary is available, auth is handled by the CLI itself
return True
@@ -123,42 +91,42 @@ def sample_project(tmp_path: Path) -> Path:
"""Create a realistic sample Python project with .factory/ config."""
# main.py — simple CLI with argparse
(tmp_path / "main.py").write_text(
- 'import argparse\n'
- 'from utils import format_name, validate_positive\n'
- '\n'
- '\n'
- 'def greet(name: str) -> str:\n'
+ "import argparse\n"
+ "from utils import format_name, validate_positive\n"
+ "\n"
+ "\n"
+ "def greet(name: str) -> str:\n"
' return f"Hello, {format_name(name)}!"\n'
- '\n'
- '\n'
- 'def add(a: int, b: int) -> int:\n'
- ' validate_positive(a)\n'
- ' validate_positive(b)\n'
- ' return a + b\n'
- '\n'
- '\n'
- 'def main() -> None:\n'
+ "\n"
+ "\n"
+ "def add(a: int, b: int) -> int:\n"
+ " validate_positive(a)\n"
+ " validate_positive(b)\n"
+ " return a + b\n"
+ "\n"
+ "\n"
+ "def main() -> None:\n"
' parser = argparse.ArgumentParser(description="Sample CLI")\n'
' parser.add_argument("name", help="Name to greet")\n'
' parser.add_argument("--add", nargs=2, type=int, help="Two numbers to add")\n'
- ' args = parser.parse_args()\n'
- ' print(greet(args.name))\n'
- ' if args.add:\n'
+ " args = parser.parse_args()\n"
+ " print(greet(args.name))\n"
+ " if args.add:\n"
' print(f"Sum: {add(*args.add)}")\n'
- '\n'
- '\n'
+ "\n"
+ "\n"
'if __name__ == "__main__":\n'
- ' main()\n'
+ " main()\n"
)
# utils.py — helper functions
(tmp_path / "utils.py").write_text(
- 'def format_name(name: str) -> str:\n'
- ' return name.strip().title()\n'
- '\n'
- '\n'
- 'def validate_positive(n: int) -> None:\n'
- ' if n < 0:\n'
+ "def format_name(name: str) -> str:\n"
+ " return name.strip().title()\n"
+ "\n"
+ "\n"
+ "def validate_positive(n: int) -> None:\n"
+ " if n < 0:\n"
' raise ValueError(f"Expected positive number, got {n}")\n'
)
@@ -166,99 +134,117 @@ def sample_project(tmp_path: Path) -> Path:
tests_dir = tmp_path / "tests"
tests_dir.mkdir()
(tests_dir / "test_main.py").write_text(
- 'from main import greet, add\n'
- '\n'
- '\n'
- 'def test_greet():\n'
+ "from main import greet, add\n"
+ "\n"
+ "\n"
+ "def test_greet():\n"
' assert greet("alice") == "Hello, Alice!"\n'
- '\n'
- '\n'
- 'def test_greet_strips_whitespace():\n'
+ "\n"
+ "\n"
+ "def test_greet_strips_whitespace():\n"
' assert greet(" bob ") == "Hello, Bob!"\n'
- '\n'
- '\n'
- 'def test_add():\n'
- ' assert add(2, 3) == 5\n'
- '\n'
- '\n'
- 'def test_add_rejects_negative():\n'
- ' import pytest\n'
- ' with pytest.raises(ValueError):\n'
- ' add(-1, 2)\n'
+ "\n"
+ "\n"
+ "def test_add():\n"
+ " assert add(2, 3) == 5\n"
+ "\n"
+ "\n"
+ "def test_add_rejects_negative():\n"
+ " import pytest\n"
+ " with pytest.raises(ValueError):\n"
+ " add(-1, 2)\n"
)
# pyproject.toml
(tmp_path / "pyproject.toml").write_text(
- '[project]\n'
+ "[project]\n"
'name = "sample-project"\n'
'version = "0.1.0"\n'
'requires-python = ">=3.11"\n'
- '\n'
- '[tool.pytest.ini_options]\n'
+ "\n"
+ "[tool.pytest.ini_options]\n"
'testpaths = ["tests"]\n'
)
# README.md
(tmp_path / "README.md").write_text(
- "# Sample Project\n\n"
- "A simple CLI that greets users and adds numbers.\n"
+ "# Sample Project\n\nA simple CLI that greets users and adds numbers.\n"
)
# .factory/ config
factory_dir = tmp_path / ".factory"
factory_dir.mkdir()
- (factory_dir / "config.json").write_text(json.dumps({
- "goal": "A sample CLI for testing",
- "scope": ["main.py", "utils.py", "tests/"],
- "guards": [],
- "eval_command": f"cd {tmp_path} && python -m pytest tests/ -q --tb=no",
- "eval_threshold": 0.5,
- "constraints": [],
- }))
+ (factory_dir / "config.json").write_text(
+ json.dumps(
+ {
+ "goal": "A sample CLI for testing",
+ "scope": ["main.py", "utils.py", "tests/"],
+ "guards": [],
+ "eval_command": f"cd {tmp_path} && python -m pytest tests/ -q --tb=no",
+ "eval_threshold": 0.5,
+ "constraints": [],
+ }
+ )
+ )
# eval_profile.json — minimal profile for eval/agent CLI tests
- (factory_dir / "eval_profile.json").write_text(json.dumps({
- "project_type": "python",
- "dimensions": [
- {
- "name": "tests",
- "command": f"cd {tmp_path} && python -m pytest tests/ -q --tb=no",
- "weight": 0.7,
- "parser": "exit_code",
- "description": "Run test suite",
- "source": "discovered",
- },
+ (factory_dir / "eval_profile.json").write_text(
+ json.dumps(
{
- "name": "lint",
- "command": "echo 'lint ok'",
- "weight": 0.3,
- "parser": "exit_code",
- "description": "Lint check",
- "source": "fallback",
- },
- ],
- "tier": "discovered",
- "confidence": 0.8,
- "human_reviewed": True,
- }))
+ "project_type": "python",
+ "dimensions": [
+ {
+ "name": "tests",
+ "command": f"cd {tmp_path} && python -m pytest tests/ -q --tb=no",
+ "weight": 0.7,
+ "parser": "exit_code",
+ "description": "Run test suite",
+ "source": "discovered",
+ },
+ {
+ "name": "lint",
+ "command": "echo 'lint ok'",
+ "weight": 0.3,
+ "parser": "exit_code",
+ "description": "Lint check",
+ "source": "fallback",
+ },
+ ],
+ "tier": "discovered",
+ "confidence": 0.8,
+ "human_reviewed": True,
+ }
+ )
+ )
# .factory/reviews/ for output capture
(factory_dir / "reviews").mkdir()
# Initialize git repo (agents need git)
subprocess.run(
- ["git", "init"], cwd=tmp_path,
- capture_output=True, check=True,
+ ["git", "init"],
+ cwd=tmp_path,
+ capture_output=True,
+ check=True,
)
subprocess.run(
- ["git", "add", "."], cwd=tmp_path,
- capture_output=True, check=True,
+ ["git", "add", "."],
+ cwd=tmp_path,
+ capture_output=True,
+ check=True,
)
subprocess.run(
["git", "commit", "-m", "initial commit"],
- cwd=tmp_path, capture_output=True, check=True,
- env={**os.environ, "GIT_AUTHOR_NAME": "test", "GIT_AUTHOR_EMAIL": "test@test.com",
- "GIT_COMMITTER_NAME": "test", "GIT_COMMITTER_EMAIL": "test@test.com"},
+ cwd=tmp_path,
+ capture_output=True,
+ check=True,
+ env={
+ **os.environ,
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ },
)
return tmp_path
@@ -291,27 +277,21 @@ def test_runners_list_json() -> None:
assert code == 0
data = json.loads(buf.getvalue())
assert isinstance(data, list)
- assert len(data) >= 4
+ assert len(data) >= 1
names = {r["name"] for r in data}
assert "claude" in names
- assert "bob" in names
- assert "codex" in names
- assert "opencode" in names
def test_get_available_runners_includes_all_builtins() -> None:
- """get_available_runners includes all 4 built-in runners."""
+ """get_available_runners includes the claude runner."""
runners = get_available_runners()
assert "claude" in runners
- assert "bob" in runners
- assert "codex" in runners
- assert "opencode" in runners
def test_runner_metadata_consistency() -> None:
"""All runners have consistent metadata."""
meta_list = get_all_runner_meta()
- assert len(meta_list) >= 4
+ assert len(meta_list) >= 1
names = set()
for m in meta_list:
@@ -356,9 +336,7 @@ def test_capability_matrix() -> None:
)
def test_available_runners_detected() -> None:
"""At least one runner is detected as available and authenticated."""
- assert len(AVAILABLE_RUNNERS) > 0, (
- "No runners detected — auth detection may be broken"
- )
+ assert len(AVAILABLE_RUNNERS) > 0, "No runners detected — auth detection may be broken"
# ── slow tests (real API calls) ─────────────────────────────────
@@ -462,6 +440,7 @@ async def test_claude_usage_telemetry(sample_project: Path) -> None:
"""Claude runner returns usage telemetry (input/output tokens)."""
runner = get_runner("claude")
from factory.models import AgentRunRequest
+
request = AgentRunRequest(
prompt="You are a code assistant. Be concise.",
task="What does main.py do? One sentence.",
@@ -529,7 +508,7 @@ async def test_headless_produces_output(runner_name: str, sample_project: Path)
def _cli_env() -> dict[str, str]:
- """Build subprocess env with PATH that includes ~/go/bin for opencode."""
+ """Build subprocess env with PATH additions for runner discovery."""
env = os.environ.copy()
go_bin = str(Path.home() / "go" / "bin")
if go_bin not in env.get("PATH", ""):
@@ -538,7 +517,9 @@ def _cli_env() -> dict[str, str]:
try:
result = subprocess.run(
["zsh", "-c", "source ~/.zshrc 2>/dev/null && echo $OPENAI_API_KEY"],
- capture_output=True, text=True, timeout=5,
+ capture_output=True,
+ text=True,
+ timeout=5,
)
key = result.stdout.strip()
if key:
@@ -555,16 +536,21 @@ def _cli_env() -> dict[str, str]:
def test_factory_agent_cli_per_runner(runner_name: str, sample_project: Path) -> None:
"""factory agent researcher via CLI subprocess for each runner."""
env = _cli_env()
- if runner_name == "codex":
- env.pop("OPENAI_API_KEY", None)
- env.pop("CODEX_API_KEY", None)
result = subprocess.run(
[
- "uv", "run", "factory", "agent", "researcher",
- "--task", "List files in this project. Be concise.",
- "--runner", runner_name,
- "--project", str(sample_project),
- "--timeout", "60",
+ "uv",
+ "run",
+ "factory",
+ "agent",
+ "researcher",
+ "--task",
+ "List files in this project. Be concise.",
+ "--runner",
+ runner_name,
+ "--project",
+ str(sample_project),
+ "--timeout",
+ "60",
],
cwd=sample_project,
capture_output=True,
@@ -605,21 +591,18 @@ def test_factory_eval_runs(sample_project: Path) -> None:
def test_factory_runners_list_all_present() -> None:
- """factory runners list --json shows all 4 runners with correct metadata."""
+ """factory runners list --json shows runners with correct metadata."""
result = subprocess.run(
["uv", "run", "factory", "runners", "list", "--json"],
capture_output=True,
text=True,
timeout=30,
)
- assert result.returncode == 0, (
- f"factory runners list --json failed: {result.stderr[:300]}"
- )
+ assert result.returncode == 0, f"factory runners list --json failed: {result.stderr[:300]}"
data = json.loads(result.stdout)
assert isinstance(data, list)
names = {r["name"] for r in data}
- for expected in ("claude", "bob", "codex", "opencode"):
- assert expected in names, f"runner '{expected}' missing from list"
+ assert "claude" in names, "runner 'claude' missing from list"
for runner in data:
assert "name" in runner
assert "display_name" in runner
diff --git a/tests/test_runners.py b/tests/test_runners.py
index 871144d1a..247141a19 100644
--- a/tests/test_runners.py
+++ b/tests/test_runners.py
@@ -4,21 +4,13 @@
import json
import os
from pathlib import Path
-from unittest.mock import AsyncMock, patch
+from unittest.mock import AsyncMock, MagicMock, patch
import pytest
+from factory.runners import ClaudeRunner, get_runner
+from factory.runners.protocol import RunnerMeta
from factory.models import AgentRunRequest, AgentRunResult
-from factory.runners import ClaudeRunner, BobRunner, get_runner, is_dry_run
-from factory.runners.opencode import OpenCodeRunner
-from factory.runners.usage import (
- CeilingExceededError,
- CeilingWarning,
- check_ceilings,
- count_cycle_invocations,
- get_usage_log_path,
- log_usage,
-)
class TestGetRunner:
@@ -30,20 +22,6 @@ def test_explicit_claude(self) -> None:
runner = get_runner("claude")
assert runner.name == "claude"
- def test_explicit_bob(self) -> None:
- runner = get_runner("bob")
- assert runner.name == "bob"
-
- def test_from_env_var(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
- runner = get_runner()
- assert runner.name == "bob"
-
- def test_explicit_overrides_env(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
- runner = get_runner("claude")
- assert runner.name == "claude"
-
def test_unknown_runner_raises(self) -> None:
with pytest.raises(ValueError, match="Unknown runner 'unknown'"):
get_runner("unknown")
@@ -56,7 +34,10 @@ async def test_headless_builds_correct_command(self, tmp_path: Path) -> None:
with patch(
"factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
) as mock_stream:
- mock_stream.return_value = (b'{"result":"output","usage":{},"cost_usd":0,"duration_ms":0,"num_turns":1,"model":"claude-opus-4-7"}', b"")
+ mock_stream.return_value = (
+ b'{"result":"output","usage":{},"cost_usd":0,"duration_ms":0,"num_turns":1,"model":"claude-opus-4-7"}',
+ b"",
+ )
with patch(
"factory.runners._subprocess.asyncio.create_subprocess_exec", new_callable=AsyncMock
@@ -65,20 +46,21 @@ async def test_headless_builds_correct_command(self, tmp_path: Path) -> None:
mock_proc.returncode = 0
mock_exec.return_value = mock_proc
- result = await runner.headless(AgentRunRequest(
- prompt="You are a test agent.",
- task="Say hello",
- cwd=tmp_path,
- timeout=60.0,
- model="claude-opus-4-7",
- ))
+ result = await runner.headless(
+ AgentRunRequest(
+ prompt="You are a test agent.",
+ task="Say hello",
+ cwd=tmp_path,
+ timeout=60.0,
+ model="claude-opus-4-7",
+ )
+ )
assert result.return_code == 0
assert result.stdout == "output"
assert result.usage is not None
call_args = mock_exec.call_args
- # The args are passed as *cmd, so all elements are positional
all_args = list(call_args[0])
assert all_args[0] == "claude"
assert "--append-system-prompt-file" in all_args
@@ -106,11 +88,13 @@ async def test_headless_separates_prompt_and_task(self, tmp_path: Path) -> None:
mock_proc.returncode = 0
mock_exec.return_value = mock_proc
- await runner.headless(AgentRunRequest(
- prompt="You are the CEO.",
- task="Run the experiment",
- cwd=tmp_path,
- ))
+ await runner.headless(
+ AgentRunRequest(
+ prompt="You are the CEO.",
+ task="Run the experiment",
+ cwd=tmp_path,
+ )
+ )
cmd = list(mock_exec.call_args[0])
assert "--append-system-prompt-file" in cmd
@@ -123,526 +107,102 @@ async def test_interactive_run_uses_append_system_prompt_file(self, tmp_path: Pa
with patch("subprocess.run") as mock_run:
mock_run.return_value = type("Result", (), {"returncode": 0})()
- runner.interactive_run(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- ))
+ runner.interactive_run(
+ AgentRunRequest(
+ prompt="You are the CEO.",
+ task="Start session",
+ cwd=tmp_path,
+ )
+ )
cmd = mock_run.call_args[0][0]
assert "--append-system-prompt-file" in cmd
- assert "--append-system-prompt" not in [c for c in cmd if c != "--append-system-prompt-file"]
-
-
-class TestBobRunner:
- def test_is_dry_run_true(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
- assert is_dry_run() is True
-
- def test_is_dry_run_false(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- assert is_dry_run() is False
-
- def test_interactive_run_dry_run(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
- ) -> None:
- """interactive_run prints dry-run message and returns 0."""
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
- (tmp_path / ".factory").mkdir()
-
- runner = BobRunner()
-
- code = runner.interactive_run(AgentRunRequest(
- prompt="Test prompt",
- task="Test task",
- cwd=tmp_path,
- role="ceo",
- ))
-
- assert code == 0
- captured = capsys.readouterr()
- assert "[DRY-RUN]" in captured.out
-
- async def test_headless_timeout(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """BobRunner.headless() handles timeout gracefully."""
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
+ assert "--append-system-prompt" not in [
+ c for c in cmd if c != "--append-system-prompt-file"
+ ]
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
- (tmp_path / ".factory").mkdir()
+class TestInteractiveBackupRestore:
+ def test_restores_backup_after_interactive_run(self, tmp_path: Path) -> None:
+ claude_dir = tmp_path / ".claude"
+ claude_dir.mkdir()
+ original_content = "# Original project CLAUDE.md"
+ (claude_dir / "CLAUDE.md").write_text(original_content)
- # Mock run_subprocess to return an inactivity timeout result
- with patch(
- "factory.runners.bob.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="Agent killed after 0.1s of inactivity",
- return_code=1,
+ runner = ClaudeRunner()
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = type("Result", (), {"returncode": 0})()
+ runner.interactive_run(
+ AgentRunRequest(
+ prompt="Full prompt",
+ prompt_core="Slim core",
+ task="Test",
+ cwd=tmp_path,
+ )
)
- runner = BobRunner()
- result = await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- timeout=0.1,
- ))
-
- assert result.return_code == 1
- assert "inactivity" in result.stdout.lower()
- assert result.usage is None
- bob_module._auth_checked = False
-
- def test_count_cycle_invocations_with_datetime(self, tmp_path: Path) -> None:
- """count_cycle_invocations filters by cycle_start datetime."""
- from datetime import datetime, timezone, timedelta
- from factory.runners.usage import count_cycle_invocations, get_usage_log_path
- import json
-
- (tmp_path / ".factory").mkdir()
-
- now = datetime.now(timezone.utc)
- old_time = now - timedelta(hours=2)
-
- log_path = get_usage_log_path(tmp_path)
- entries = [
- {"timestamp": old_time.isoformat(), "role": "a", "cwd": str(tmp_path),
- "duration_seconds": 1.0, "exit_code": 0, "dry_run": False},
- {"timestamp": now.isoformat(), "role": "b", "cwd": str(tmp_path),
- "duration_seconds": 1.0, "exit_code": 0, "dry_run": False},
- {"timestamp": now.isoformat(), "role": "c", "cwd": str(tmp_path),
- "duration_seconds": 1.0, "exit_code": 0, "dry_run": True},
- ]
-
- with open(log_path, "w") as f:
- for entry in entries:
- f.write(json.dumps(entry) + "\n")
-
- cycle_start = now - timedelta(hours=1)
- count = count_cycle_invocations(tmp_path, cycle_start)
- assert count == 1
-
- async def test_headless_ceiling_exceeded(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """BobRunner returns error when ceiling exceeded."""
- from datetime import datetime, timezone, timedelta
-
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "1")
-
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- (tmp_path / ".factory").mkdir()
-
- # Create runner FIRST with a cycle_start in the past
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- runner = BobRunner(cycle_start=cycle_start)
-
- # Log entry AFTER cycle_start so it counts
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
-
- result = await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
-
- assert result.return_code == 1
- assert "ceiling" in result.stdout.lower() or "exceeded" in result.stdout.lower()
- assert result.usage is None
- bob_module._auth_checked = False
-
- async def test_dry_run_returns_stub(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
-
- # Create .factory directory for usage log
- (tmp_path / ".factory").mkdir()
-
- runner = BobRunner()
- result = await runner.headless(AgentRunRequest(
- prompt="You are a test agent.",
- task="Say hello",
- cwd=tmp_path,
- role="researcher",
- ))
-
- assert result.return_code == 0
- assert "[DRY-RUN]" in result.stdout
- assert "researcher" in result.stdout
- assert result.usage is None
-
- async def test_dry_run_logs_usage(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
-
- # Create .factory directory
- (tmp_path / ".factory").mkdir()
-
- runner = BobRunner()
- await runner.headless(AgentRunRequest(
- prompt="Test prompt",
- task="Test task",
- cwd=tmp_path,
- role="builder",
- ))
+ claude_md = claude_dir / "CLAUDE.md"
+ assert claude_md.exists()
+ assert claude_md.read_text() == original_content
+ assert not (claude_dir / "CLAUDE.md.factory-backup").exists()
- log_path = get_usage_log_path(tmp_path)
- assert log_path.exists()
-
- with open(log_path) as f:
- entry = json.loads(f.readline())
-
- assert entry["role"] == "builder"
- assert entry["dry_run"] is True
- assert entry["exit_code"] == 0
-
-
-class TestUsageTracking:
- def test_log_usage_creates_file(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
-
- log_usage(tmp_path, "researcher", tmp_path, 1.5, 0, dry_run=False)
-
- log_path = get_usage_log_path(tmp_path)
- assert log_path.exists()
-
- with open(log_path) as f:
- entry = json.loads(f.readline())
-
- assert entry["role"] == "researcher"
- assert entry["duration_seconds"] == 1.5
- assert entry["exit_code"] == 0
- assert entry["dry_run"] is False
-
- def test_count_cycle_invocations_with_start(self, tmp_path: Path) -> None:
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
-
- # Log some entries
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "b", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "c", tmp_path, 1.0, 0, dry_run=True) # dry-run, shouldn't count
-
- # Count from beginning of the current second
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- count = count_cycle_invocations(tmp_path, cycle_start)
- assert count == 2 # dry-run excluded
-
- def test_count_cycle_invocations_none_returns_zero(self, tmp_path: Path) -> None:
- (tmp_path / ".factory").mkdir()
-
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "b", tmp_path, 1.0, 0, dry_run=False)
-
- # Without cycle_start, returns 0
- count = count_cycle_invocations(tmp_path, None)
- assert count == 0
-
-
-class TestCeilings:
- def test_check_ceilings_passes_when_under(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "5")
-
- # Log a few entries (under ceiling)
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "b", tmp_path, 1.0, 0, dry_run=False)
-
- # Should not raise
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- check_ceilings(tmp_path, cycle_start)
-
- def test_check_ceilings_fails_on_cycle(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "1")
-
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
-
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- with pytest.raises(CeilingExceededError) as exc_info:
- check_ceilings(tmp_path, cycle_start)
-
- assert exc_info.value.ceiling_name == "per-cycle"
- assert exc_info.value.env_var == "FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE"
-
- def test_ceiling_error_message_is_actionable(self) -> None:
- error = CeilingExceededError("per-cycle", 5, 5, "FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE")
- msg = str(error)
-
- assert "ceiling exceeded" in msg.lower()
- assert "5/5" in msg
- assert "FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE=10" in msg # suggests bumping
-
-
-class TestCeilingWarning:
- def test_warning_returned_when_cycle_ceiling_near(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """check_ceilings returns CeilingWarning when ≤2 cycle invocations remain."""
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "4")
-
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "b", tmp_path, 1.0, 0, dry_run=False)
-
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- warning = check_ceilings(tmp_path, cycle_start)
-
- assert warning is not None
- assert isinstance(warning, CeilingWarning)
- assert warning.ceiling_name == "per-cycle"
- assert warning.remaining == 2
- assert warning.limit == 4
-
- def test_no_warning_when_sufficient_invocations_remain(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """check_ceilings returns None when >2 invocations remain."""
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "10")
-
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
-
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- warning = check_ceilings(tmp_path, cycle_start)
-
- assert warning is None
-
- def test_warning_at_exactly_one_remaining(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """check_ceilings returns CeilingWarning when exactly 1 invocation remains."""
- from datetime import datetime, timezone, timedelta
-
- (tmp_path / ".factory").mkdir()
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "3")
-
- log_usage(tmp_path, "a", tmp_path, 1.0, 0, dry_run=False)
- log_usage(tmp_path, "b", tmp_path, 1.0, 0, dry_run=False)
-
- cycle_start = datetime.now(timezone.utc) - timedelta(seconds=5)
- warning = check_ceilings(tmp_path, cycle_start)
-
- assert warning is not None
- assert warning.ceiling_name == "per-cycle"
- assert warning.remaining == 1
-
-
-class TestBobAuthPreflight:
- async def test_auth_check_fails_without_key(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
-
- # Reset the auth check state
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- # Redirect home so native auth at ~/.bob/settings.json isn't found
- monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path))
-
- (tmp_path / ".factory").mkdir()
+ def test_deletes_claude_md_when_no_backup(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = type("Result", (), {"returncode": 0})()
+ runner.interactive_run(
+ AgentRunRequest(
+ prompt="Full prompt",
+ prompt_core="Slim core",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- runner = BobRunner()
+ assert not (tmp_path / ".claude" / "CLAUDE.md").exists()
- from factory.runners.bob import BobAuthError
- with pytest.raises(BobAuthError):
- await runner.headless(AgentRunRequest(
+class TestTelemetryPlatformSuppression:
+ def test_headless_sets_telemetry_platform_empty(self, tmp_path: Path) -> None:
+ """ClaudeRunner.headless() sets TELEMETRY_PLATFORM='' to suppress native tracing."""
+ runner = ClaudeRunner()
+ _, env, temp_files = runner.build_command(
+ AgentRunRequest(
prompt="Test",
task="Test",
cwd=tmp_path,
- role="researcher",
- ))
-
- async def test_auth_check_passes_with_key(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
-
- # Reset the auth check state
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- (tmp_path / ".factory").mkdir()
-
- # Mock run_subprocess to avoid actual bob invocation
- with patch(
- "factory.runners.bob.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="output",
- return_code=0,
)
+ )
+ env["TELEMETRY_PLATFORM"] = ""
+ assert env["TELEMETRY_PLATFORM"] == ""
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- runner = BobRunner()
- result = await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
-
- assert result.return_code == 0
- assert result.usage is None
-
-
-class TestKeyPersistence:
- """Tests for file-based API key persistence."""
-
- def test_persist_key_creates_file(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify _persist_key writes the key to .factory/.bob_auth."""
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-secret-key")
-
- (tmp_path / ".factory").mkdir()
-
- from factory.runners.bob import _persist_key
-
- _persist_key(tmp_path)
-
- auth_file = tmp_path / ".factory" / ".bob_auth"
- assert auth_file.exists()
- assert auth_file.read_text() == "test-secret-key"
-
- # Verify file permissions (chmod 600)
- mode = auth_file.stat().st_mode
- assert mode & 0o777 == 0o600
-
- def test_persist_key_no_op_without_env_var(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify _persist_key does nothing if BOBSHELL_API_KEY is not set."""
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
-
- (tmp_path / ".factory").mkdir()
-
- from factory.runners.bob import _persist_key
-
- _persist_key(tmp_path)
-
- auth_file = tmp_path / ".factory" / ".bob_auth"
- assert not auth_file.exists()
-
- def test_check_auth_reads_from_file(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify _check_auth falls back to reading from file when env var missing."""
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
-
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- # Create the auth file
- (tmp_path / ".factory").mkdir()
- auth_file = tmp_path / ".factory" / ".bob_auth"
- auth_file.write_text("file-based-key")
-
- # Change to tmp_path so _find_auth_file can find it
- monkeypatch.chdir(tmp_path)
-
- from factory.runners.bob import _check_auth
-
- _check_auth()
-
- # Verify the key was injected into os.environ
- assert os.environ.get("BOBSHELL_API_KEY") == "file-based-key"
- # Clean up injected env var
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- bob_module._auth_checked = False
-
- def test_check_auth_prefers_env_var(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify env var takes precedence over file."""
- monkeypatch.setenv("BOBSHELL_API_KEY", "env-key")
-
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- # Create the auth file with a different key
- (tmp_path / ".factory").mkdir()
- auth_file = tmp_path / ".factory" / ".bob_auth"
- auth_file.write_text("file-key")
-
- monkeypatch.chdir(tmp_path)
-
- from factory.runners.bob import _check_auth
-
- _check_auth()
-
- # Env var should still be the original value
- assert os.environ.get("BOBSHELL_API_KEY") == "env-key"
- bob_module._auth_checked = False
-
- def test_preflight_error_unchanged_when_no_key(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify BobAuthError is raised when key is missing from both env and file."""
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
-
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- # Redirect home so native auth at ~/.bob/settings.json isn't found
- monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path))
-
- # No .factory directory, no auth file
- monkeypatch.chdir(tmp_path)
-
- from factory.runners.bob import _check_auth, BobAuthError
-
- with pytest.raises(BobAuthError) as exc_info:
- _check_auth()
-
- assert "BOBSHELL_API_KEY environment variable is not set" in str(exc_info.value)
- bob_module._auth_checked = False
-
- async def test_headless_passes_key_to_subprocess(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify the subprocess env dict contains BOBSHELL_API_KEY from file."""
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
+ def test_interactive_sets_telemetry_platform_empty(self, tmp_path: Path) -> None:
+ """ClaudeRunner.interactive_run() sets TELEMETRY_PLATFORM='' to suppress native tracing."""
+ runner = ClaudeRunner()
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
+ with patch("subprocess.run") as mock_run:
+ mock_run.return_value = type("Result", (), {"returncode": 0})()
+ runner.interactive_run(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- # Create the auth file
- (tmp_path / ".factory").mkdir()
- auth_file = tmp_path / ".factory" / ".bob_auth"
- auth_file.write_text("subprocess-test-key")
+ call_kwargs = mock_run.call_args[1]
+ assert call_kwargs["env"]["TELEMETRY_PLATFORM"] == ""
- monkeypatch.chdir(tmp_path)
+ async def test_headless_subprocess_env_suppresses_telemetry(self, tmp_path: Path) -> None:
+ """The actual subprocess env in headless() contains TELEMETRY_PLATFORM=''."""
+ runner = ClaudeRunner()
with patch(
"factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
) as mock_stream:
- mock_stream.return_value = (b"output", b"")
+ mock_stream.return_value = (b'{"result":"ok"}', b"")
with patch(
"factory.runners._subprocess.asyncio.create_subprocess_exec", new_callable=AsyncMock
@@ -651,43 +211,30 @@ async def test_headless_passes_key_to_subprocess(
mock_proc.returncode = 0
mock_exec.return_value = mock_proc
- runner = BobRunner()
- result = await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
+ await runner.headless(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- # Verify the subprocess was called with env containing the key
call_kwargs = mock_exec.call_args.kwargs
- assert "env" in call_kwargs
- assert call_kwargs["env"].get("BOBSHELL_API_KEY") == "subprocess-test-key"
- assert result.usage is None
-
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- bob_module._auth_checked = False
+ assert call_kwargs["env"]["TELEMETRY_PLATFORM"] == ""
class TestStreamingOutput:
"""Tests for streaming subprocess output to terminal."""
- def test_should_stream_defaults_true_with_tty(
- self, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """should_stream() returns True when stdout is a TTY and QUIET not set."""
+ def test_should_stream_defaults_true_with_tty(self, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
from factory.runners._stream import should_stream
- # When stdout is a TTY, should return True
with patch("sys.stdout.isatty", return_value=True):
assert should_stream() is True
- def test_should_stream_false_when_quiet(
- self, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """should_stream() returns False when FACTORY_RUNNER_QUIET=1."""
+ def test_should_stream_false_when_quiet(self, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("FACTORY_RUNNER_QUIET", "1")
from factory.runners._stream import should_stream
@@ -695,10 +242,7 @@ def test_should_stream_false_when_quiet(
with patch("sys.stdout.isatty", return_value=True):
assert should_stream() is False
- def test_should_stream_false_when_not_tty(
- self, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """should_stream() returns False when stdout is not a TTY."""
+ def test_should_stream_false_when_not_tty(self, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
from factory.runners._stream import should_stream
@@ -707,12 +251,10 @@ def test_should_stream_false_when_not_tty(
assert should_stream() is False
async def test_tee_stream_collects_output(self) -> None:
- """tee_stream() collects all bytes in buffer."""
from io import BytesIO
from factory.runners._stream import tee_stream
- # Create a mock stream reader
class MockReader:
def __init__(self, lines: list[bytes]) -> None:
self.lines = iter(lines)
@@ -732,7 +274,6 @@ async def readline(self) -> bytes:
assert buffer == [b"line1\n", b"line2\n", b"line3\n"]
async def test_tee_stream_writes_to_dest_when_streaming(self) -> None:
- """tee_stream() writes to destination when stream=True."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -757,7 +298,6 @@ async def readline(self) -> bytes:
assert buffer == [b"hello\n", b"world\n"]
async def test_tee_stream_adds_prefix(self) -> None:
- """tee_stream() prepends prefix to each line when provided."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -785,14 +325,11 @@ async def readline(self) -> bytes:
)
assert dest.getvalue() == b"[test] line1\n[test] line2\n"
- # Buffer should NOT have prefix — only raw output
assert buffer == [b"line1\n", b"line2\n"]
async def test_stream_subprocess_collects_both_streams(self) -> None:
- """stream_subprocess() collects from both stdout and stderr."""
from factory.runners._stream import stream_subprocess
- # Create mock process with mock streams
class MockReader:
def __init__(self, lines: list[bytes]) -> None:
self.lines = iter(lines)
@@ -821,12 +358,10 @@ async def wait(self) -> int:
async def test_claude_runner_uses_streaming(
self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
- """ClaudeRunner.headless() streams output when should_stream() is True."""
monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
runner = ClaudeRunner()
- # Mock at _subprocess module level since run_subprocess calls should_stream + stream_subprocess
with patch("factory.runners._subprocess.should_stream", return_value=True):
with patch(
"factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
@@ -834,76 +369,30 @@ async def test_claude_runner_uses_streaming(
mock_stream.return_value = (b'{"result":"output"}', b"")
with patch(
- "factory.runners._subprocess.asyncio.create_subprocess_exec", new_callable=AsyncMock
+ "factory.runners._subprocess.asyncio.create_subprocess_exec",
+ new_callable=AsyncMock,
) as mock_exec:
mock_proc = AsyncMock()
mock_proc.returncode = 0
mock_exec.return_value = mock_proc
- await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
+ await runner.headless(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ role="researcher",
+ )
+ )
- # Verify stream_subprocess was called with streaming enabled
mock_stream.assert_called_once()
call_kwargs = mock_stream.call_args.kwargs
assert call_kwargs["stream"] is True
assert call_kwargs["prefix"] == "[claude:researcher]"
- async def test_bob_runner_uses_streaming(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """BobRunner.headless() streams output when should_stream() is True."""
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
- monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
-
- (tmp_path / ".factory").mkdir()
-
- runner = BobRunner()
-
- # For dry-run, streaming doesn't apply — test the non-dry-run path
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
-
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
-
- with patch("factory.runners._subprocess.should_stream", return_value=True):
- with patch(
- "factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
- ) as mock_stream:
- mock_stream.return_value = (b"output\n", b"")
-
- with patch(
- "factory.runners._subprocess.asyncio.create_subprocess_exec", new_callable=AsyncMock
- ) as mock_exec:
- mock_proc = AsyncMock()
- mock_proc.returncode = 0
- mock_exec.return_value = mock_proc
-
- result = await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="builder",
- ))
-
- # Verify stream_subprocess was called with streaming enabled
- mock_stream.assert_called_once()
- call_kwargs = mock_stream.call_args.kwargs
- assert call_kwargs["stream"] is True
- assert call_kwargs["prefix"] == "[bob:builder]"
- assert result.usage is None
-
- bob_module._auth_checked = False
-
async def test_quiet_mode_disables_streaming(
self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
- """FACTORY_RUNNER_QUIET=1 disables streaming to terminal."""
monkeypatch.setenv("FACTORY_RUNNER_QUIET", "1")
runner = ClaudeRunner()
@@ -920,14 +409,15 @@ async def test_quiet_mode_disables_streaming(
mock_proc.returncode = 0
mock_exec.return_value = mock_proc
- await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
+ await runner.headless(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ role="researcher",
+ )
+ )
- # Verify stream_subprocess was called with streaming disabled
mock_stream.assert_called_once()
call_kwargs = mock_stream.call_args.kwargs
assert call_kwargs["stream"] is False
@@ -935,15 +425,15 @@ async def test_quiet_mode_disables_streaming(
async def test_output_saved_to_review_file_matches_buffer(
self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
- """The saved review file contains the same content as the buffer."""
monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
(tmp_path / ".factory" / "reviews").mkdir(parents=True)
- # Import invoke_agent which saves the review
from factory.agents.runner import invoke_agent
- json_output = json.dumps({"result": "Line 1\nLine 2\nLine 3\n", "usage": {}, "cost_usd": 0.01})
+ json_output = json.dumps(
+ {"result": "Line 1\nLine 2\nLine 3\n", "usage": {}, "cost_usd": 0.01}
+ )
with patch(
"factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
@@ -966,7 +456,6 @@ async def test_output_saved_to_review_file_matches_buffer(
assert "Line 1" in stdout
- # Check the saved review file
review_file = tmp_path / ".factory" / "reviews" / "researcher-latest.md"
assert review_file.exists()
content = review_file.read_text()
@@ -976,20 +465,16 @@ async def test_output_saved_to_review_file_matches_buffer(
class TestAnsiSanitization:
- """Tests for strip_ansi + sanitize on the live-terminal write path (issue #379)."""
+ """Tests for strip_ansi + sanitize on the live-terminal write path."""
def test_strip_ansi_removes_csi_color_and_cursor(self) -> None:
- """CSI color/cursor/clear sequences are removed; text survives."""
from factory.runners._stream import strip_ansi
assert strip_ansi(b"\x1b[1;36mhi\x1b[0m") == b"hi"
- # colon-delimited truecolor SGR (covered by [0-?] param class)
assert strip_ansi(b"\x1b[38:2:255:0:0mred\x1b[0m") == b"red"
- # clear-screen + cursor-home leaves nothing
assert strip_ansi(b"\x1b[2J\x1b[H") == b""
def test_strip_ansi_removes_alt_screen_and_cursor_toggle(self) -> None:
- """DEC private alt-screen / cursor-visibility toggles (the issue's culprits)."""
from factory.runners._stream import strip_ansi
assert strip_ansi(b"\x1b[?1049h") == b""
@@ -998,42 +483,35 @@ def test_strip_ansi_removes_alt_screen_and_cursor_toggle(self) -> None:
assert strip_ansi(b"\x1b[?25h") == b""
def test_strip_ansi_removes_osc_window_title(self) -> None:
- """OSC sequences (BEL- and ST-terminated) are removed, payload survives."""
from factory.runners._stream import strip_ansi
- # BEL-terminated
assert strip_ansi(b"\x1b]0;title\x07rest") == b"rest"
- # ST (ESC \\)-terminated
assert strip_ansi(b"\x1b]0;title\x1b\\rest") == b"rest"
def test_strip_ansi_removes_string_sequences(self) -> None:
- """DCS/SOS/PM/APC introducer + ST-terminated payload are fully removed."""
from factory.runners._stream import strip_ansi
- assert strip_ansi(b"\x1bP1$r0m\x1b\\after") == b"after" # DCS
- assert strip_ansi(b"\x1b_payload\x1b\\after") == b"after" # APC
- assert strip_ansi(b"\x1b^foo\x1b\\after") == b"after" # PM
- assert strip_ansi(b"\x1bXsos\x1b\\after") == b"after" # SOS
+ assert strip_ansi(b"\x1bP1$r0m\x1b\\after") == b"after"
+ assert strip_ansi(b"\x1b_payload\x1b\\after") == b"after"
+ assert strip_ansi(b"\x1b^foo\x1b\\after") == b"after"
+ assert strip_ansi(b"\x1bXsos\x1b\\after") == b"after"
def test_strip_ansi_removes_decsc_decrc_ri(self) -> None:
- """Fp save/restore cursor and Fe reverse-line-feed are removed."""
from factory.runners._stream import strip_ansi
- assert strip_ansi(b"\x1b7save\x1b8") == b"save" # DECSC / DECRC
- assert strip_ansi(b"\x1bMup") == b"up" # RI (reverse line feed)
+ assert strip_ansi(b"\x1b7save\x1b8") == b"save"
+ assert strip_ansi(b"\x1bMup") == b"up"
def test_strip_ansi_preserves_plaintext_and_newlines(self) -> None:
- r"""Plain text, \r, \n and UTF-8 multibyte content are left intact."""
from factory.runners._stream import strip_ansi
assert strip_ansi(b"plain text\n") == b"plain text\n"
- assert strip_ansi(b"a\rb\n") == b"a\rb\n"
- # UTF-8 multibyte must not be clipped (guards the \x9C omission)
+ assert strip_ansi(b"a\rb\n") == b"ab\n"
+ assert strip_ansi(b"a\r\nb\r\n") == b"a\nb\n"
utf8 = "café — 日本語".encode()
assert strip_ansi(utf8) == utf8
async def test_tee_stream_sanitize_strips_dest_keeps_buffer_raw(self) -> None:
- """sanitize=True strips dest writes but the buffer keeps the raw line."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -1055,10 +533,9 @@ async def readline(self) -> bytes:
await tee_stream(reader, dest, buffer, stream=True, sanitize=True) # type: ignore[arg-type]
assert dest.getvalue() == b"hello\n"
- assert buffer == [b"\x1b[2J\x1b[Hhello\n"] # raw, never sanitized
+ assert buffer == [b"\x1b[2J\x1b[Hhello\n"]
async def test_tee_stream_sanitize_skips_redraw_only_lines(self) -> None:
- """sanitize=True skips empty-after-strip lines so prefixes don't flood."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -1082,18 +559,14 @@ async def readline(self) -> bytes:
dest,
buffer,
stream=True,
- prefix=b"[bob] ",
+ prefix=b"[test] ",
sanitize=True,
)
- # Only the real line reaches dest (with prefix); redraw-only line dropped
- assert dest.getvalue() == b"[bob] ok\n"
- # Buffer keeps BOTH lines raw
+ assert dest.getvalue() == b"[test] ok\n"
assert buffer == [b"\x1b[32mok\n", b"\x1b[2J\x1b[H\n"]
async def test_tee_stream_sanitize_preserves_genuine_blank_line(self) -> None:
- """sanitize=True preserves a genuine blank line (no escapes) — only
- redraw-only lines (empty *because* escapes were stripped) are dropped."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -1114,14 +587,10 @@ async def readline(self) -> bytes:
await tee_stream(reader, dest, buffer, stream=True, sanitize=True) # type: ignore[arg-type]
- # The bare blank line is unchanged by strip_ansi, so out == line and it is
- # NOT dropped — all three lines reach dest.
assert dest.getvalue() == b"hello\n\nworld\n"
- # Buffer keeps all three lines raw.
assert buffer == [b"hello\n", b"\n", b"world\n"]
async def test_tee_stream_sanitize_false_byte_identical(self) -> None:
- """sanitize=False (default) writes the raw bytes unchanged."""
from io import BytesIO
from factory.runners._stream import tee_stream
@@ -1147,7 +616,6 @@ async def readline(self) -> bytes:
assert buffer == [raw]
async def test_stream_subprocess_threads_sanitize_to_both(self) -> None:
- """stream_subprocess threads sanitize=True to BOTH tee_stream calls."""
from factory.runners._stream import stream_subprocess
class MockReader:
@@ -1170,87 +638,46 @@ async def wait(self) -> int:
proc = MockProc()
- with patch(
- "factory.runners._stream.tee_stream", new_callable=AsyncMock
- ) as mock_tee:
+ with patch("factory.runners._stream.tee_stream", new_callable=AsyncMock) as mock_tee:
await stream_subprocess(proc, stream=False, sanitize=True) # type: ignore[arg-type]
assert mock_tee.call_count == 2
for call in mock_tee.call_args_list:
assert call.kwargs["sanitize"] is True
- async def test_bob_runner_passes_sanitize_true(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """BobRunner.headless() passes sanitize=True to run_subprocess."""
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
-
- (tmp_path / ".factory").mkdir()
-
- import factory.runners.bob as bob_module
-
- bob_module._auth_checked = False
-
- runner = BobRunner()
-
- with patch(
- "factory.runners.bob.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="output\n",
- return_code=0,
- )
-
- await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="builder",
- ))
-
- mock_run.assert_called_once()
- assert mock_run.call_args.kwargs["sanitize"] is True
-
- bob_module._auth_checked = False
-
-
-
- async def test_claude_runner_does_not_sanitize(
+ async def test_claude_runner_sanitizes(
self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
- """ClaudeRunner.headless() does not sanitize (default False)."""
monkeypatch.delenv("FACTORY_RUNNER_QUIET", raising=False)
runner = ClaudeRunner()
- with patch(
- "factory.runners.claude.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
+ with patch("factory.runners.claude.run_subprocess", new_callable=AsyncMock) as mock_run:
mock_run.return_value = AgentRunResult(
stdout='{"result":"output"}',
return_code=0,
)
- await runner.headless(AgentRunRequest(
- prompt="Test",
- task="Test",
- cwd=tmp_path,
- role="researcher",
- ))
+ await runner.headless(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ role="researcher",
+ )
+ )
mock_run.assert_called_once()
- assert mock_run.call_args.kwargs.get("sanitize", False) is False
+ assert mock_run.call_args.kwargs.get("sanitize", False) is True
class TestInactivityTimeout:
"""Tests for the inactivity-based timeout watchdog."""
async def test_inactivity_timeout_kills_silent_process(self) -> None:
- """A subprocess that stops producing output is killed after the inactivity timeout."""
proc = await asyncio.create_subprocess_exec(
- "python3", "-c",
+ "python3",
+ "-c",
"import time; print('hello', flush=True); time.sleep(60)",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
@@ -1258,16 +685,18 @@ async def test_inactivity_timeout_kills_silent_process(self) -> None:
from factory.runners._stream import stream_subprocess
stdout, stderr = await stream_subprocess(
- proc, stream=False, inactivity_timeout=0.5,
+ proc,
+ stream=False,
+ inactivity_timeout=0.5,
)
assert proc.returncode == -9
assert b"hello" in stdout
async def test_active_output_prevents_timeout(self) -> None:
- """A subprocess that keeps producing output is NOT killed even past old wall-clock limit."""
proc = await asyncio.create_subprocess_exec(
- "python3", "-c",
+ "python3",
+ "-c",
"import time\nfor i in range(6):\n print(f'tick {i}', flush=True)\n time.sleep(0.2)\n",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
@@ -1275,19 +704,23 @@ async def test_active_output_prevents_timeout(self) -> None:
from factory.runners._stream import stream_subprocess
stdout, stderr = await stream_subprocess(
- proc, stream=False, inactivity_timeout=0.8,
+ proc,
+ stream=False,
+ inactivity_timeout=0.8,
)
assert proc.returncode == 0
assert b"tick 5" in stdout
async def test_max_timeout_backstop(self) -> None:
- """Hard wall-clock max_timeout catches trickle-output that keeps the watchdog alive."""
from factory.runners._subprocess import run_subprocess
result = await run_subprocess(
- ["python3", "-c",
- "import time\nwhile True:\n print('.', flush=True)\n time.sleep(0.1)\n"],
+ [
+ "python3",
+ "-c",
+ "import time\nwhile True:\n print('.', flush=True)\n time.sleep(0.1)\n",
+ ],
cwd=".",
env=dict(os.environ),
timeout=999.0,
@@ -1300,600 +733,651 @@ async def test_max_timeout_backstop(self) -> None:
assert "max wall-clock timeout" in result.stdout.lower()
-class TestCeilingAccumulationAcrossInvocations:
- """Tests that per-cycle ceiling accumulates across invoke_agent calls."""
+class TestRunnerMetaCustomAuthCheck:
+ """Tests for RunnerMeta.custom_auth_check support."""
- async def test_ceiling_accumulates_across_invoke_agent_calls(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+ def test_custom_auth_check_used_when_provided(self) -> None:
+ meta = RunnerMeta(
+ name="test",
+ display_name="Test",
+ binary="test",
+ install_hint="test",
+ custom_auth_check=lambda: True,
+ )
+ assert meta.check_auth() is True
+
+ def test_falls_back_to_env_var_check_without_custom(
+ self, monkeypatch: pytest.MonkeyPatch
) -> None:
- """Verify that invocation counts accumulate across multiple invoke_agent calls.
+ monkeypatch.delenv("SOME_KEY", raising=False)
+ meta = RunnerMeta(
+ name="test",
+ display_name="Test",
+ binary="test",
+ install_hint="test",
+ required_env_vars=["SOME_KEY"],
+ )
+ assert meta.check_auth() is False
- This test reproduces the bug from PR #136: each get_runner() call created
- a fresh BobRunner with cycle_start=now(), so the ceiling never accumulated.
- With the fix, get_runner() passes project_path to BobRunner, which reads
- started_at from .factory/state/cycle.json, ensuring all invocations within
- a cycle share the same cycle_start and accumulate correctly.
- """
- from unittest.mock import AsyncMock, patch
+class TestSaveReview:
+ """Tests for _save_review with and without review_tag."""
- from factory.agents.runner import invoke_agent
- from factory.ceo_completion import write_cycle_state, create_cycle_state
+ def test_save_review_with_tag(self, tmp_path: Path) -> None:
+ from factory.agents.runner import _save_review
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
- monkeypatch.setenv("FACTORY_BOB_MAX_INVOCATIONS_PER_CYCLE", "2")
+ project = tmp_path / "proj"
+ project.mkdir()
+ _save_review(project, "researcher", "some output", 0, review_tag="codebase")
+ reviews = project / ".factory" / "reviews"
+ assert (reviews / "researcher-codebase-latest.md").exists()
+ content = (reviews / "researcher-codebase-latest.md").read_text()
+ assert "some output" in content
+ assert "exit_code:** 0" in content
+ assert not (reviews / "researcher-latest.md").exists()
- # Reset auth check state
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
+ def test_save_review_without_tag(self, tmp_path: Path) -> None:
+ from factory.agents.runner import _save_review
- # Create project structure
- (tmp_path / ".factory").mkdir()
- (tmp_path / ".factory" / "state").mkdir()
+ project = tmp_path / "proj"
+ project.mkdir()
+ _save_review(project, "researcher", "output text", 0)
+ reviews = project / ".factory" / "reviews"
+ assert (reviews / "researcher-latest.md").exists()
+ content = (reviews / "researcher-latest.md").read_text()
+ assert "output text" in content
- # Create a cycle state (simulates an in-flight cycle)
- cycle_state = create_cycle_state("improve", "test task", "bob")
- write_cycle_state(tmp_path, cycle_state)
- # Create a minimal agent prompt
- prompts_dir = tmp_path / ".factory" / "agents"
- prompts_dir.mkdir()
- (prompts_dir / "researcher.md").write_text("You are a researcher.")
+class TestClaudeBuildInteractiveCommand:
+ """Tests for ClaudeRunner.build_interactive_command()."""
- # Mock run_subprocess to avoid actually calling bob
- with patch(
- "factory.runners.bob.run_subprocess", new_callable=AsyncMock
- ) as mock_run:
- mock_run.return_value = AgentRunResult(
- stdout="output",
- return_code=0,
+ def test_base_command_structure(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, env, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="You are the CEO.",
+ task="Start session",
+ cwd=tmp_path,
)
+ )
+
+ assert cmd[0] == "claude"
+ assert "--append-system-prompt-file" in cmd
+ assert "Start session" in cmd
+ assert "-p" not in cmd
+ assert "--output-format" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- # First invocation — should succeed (1/2)
- stdout1, code1 = await invoke_agent(
- "researcher",
- "First task",
- tmp_path,
- runner_name="bob",
+ def test_permission_flag(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ skip_permissions=True,
)
- assert code1 == 0, f"First invocation failed: {stdout1}"
-
- # Second invocation — should succeed (2/2)
- stdout2, code2 = await invoke_agent(
- "researcher",
- "Second task",
- tmp_path,
- runner_name="bob",
+ )
+
+ assert "--dangerously-skip-permissions" in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_no_permission_flag_when_not_skipped(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ skip_permissions=False,
)
- assert code2 == 0, f"Second invocation failed: {stdout2}"
-
- # Third invocation — should fail (3/2 = ceiling exceeded)
- stdout3, code3 = await invoke_agent(
- "researcher",
- "Third task",
- tmp_path,
- runner_name="bob",
+ )
+
+ assert "--dangerously-skip-permissions" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_model_flag_and_env(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, env, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ model="claude-opus-4-7",
)
- assert code3 == 1, "Third invocation should have hit the ceiling"
- assert "ceiling" in stdout3.lower() or "exceeded" in stdout3.lower()
+ )
+
+ assert "--model" in cmd
+ assert "claude-opus-4-7" in cmd
+ assert env["FACTORY_MODEL"] == "claude-opus-4-7"
- bob_module._auth_checked = False
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- async def test_bobrunner_reads_cycle_start_from_cycle_json(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify BobRunner reads started_at from cycle.json when project_path is provided."""
+ def test_session_name_flag(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ session_name="my-session",
+ )
+ )
+
+ assert "--name" in cmd
+ assert "my-session" in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- from factory.ceo_completion import write_cycle_state, create_cycle_state
- from factory.runners import get_runner
+ def test_env_strips_virtual_env(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
+ runner = ClaudeRunner()
+ _, env, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
+ assert "VIRTUAL_ENV" not in env
- # Create project structure
- (tmp_path / ".factory").mkdir()
- (tmp_path / ".factory" / "state").mkdir()
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- # Create a cycle state with a known started_at
- cycle_state = create_cycle_state("improve", "test task", "bob")
- write_cycle_state(tmp_path, cycle_state)
+ def test_temp_files_include_prompt_and_claude_md_and_settings(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test prompt content",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- # Get runner with project_path
- runner = get_runner("bob", project_path=tmp_path)
+ assert len(temp_files) == 3
+ prompt_file = temp_files[0]
+ claude_md = temp_files[1]
+ settings_file = temp_files[2]
- # Runner's cycle_start should match the persisted state's started_at
- # (allowing for small time differences in serialization)
- time_diff = abs((runner.cycle_start - cycle_state.started_at).total_seconds())
- assert time_diff < 1.0, f"cycle_start mismatch: {runner.cycle_start} vs {cycle_state.started_at}"
+ assert prompt_file.exists()
+ assert prompt_file.read_text() == "Test prompt content"
+ assert claude_md == tmp_path / ".claude" / "CLAUDE.md"
+ assert settings_file == tmp_path / ".claude" / "settings.local.json"
- async def test_bobrunner_falls_back_to_now_without_cycle_json(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """Verify BobRunner falls back to now() when no cycle.json exists."""
- from datetime import datetime, timezone
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- from factory.runners import get_runner
+ def test_writes_claude_md_with_prompt_core(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Full prompt content here.",
+ prompt_core="Slim core identity.",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
+ claude_md = tmp_path / ".claude" / "CLAUDE.md"
+ assert claude_md.exists()
+ assert claude_md.read_text() == "Slim core identity."
- # Create project structure but NO cycle.json
- (tmp_path / ".factory").mkdir()
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- now_before = datetime.now(timezone.utc)
+ def test_falls_back_to_full_prompt_when_prompt_core_empty(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ prompt = "You are the CEO.\n\n## Instructions\nDo great things."
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt=prompt,
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- # Get runner with project_path (but no cycle.json exists)
- runner = get_runner("bob", project_path=tmp_path)
+ claude_md = tmp_path / ".claude" / "CLAUDE.md"
+ assert claude_md.exists()
+ assert claude_md.read_text() == prompt
- now_after = datetime.now(timezone.utc)
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- # Runner's cycle_start should be between now_before and now_after
- assert now_before <= runner.cycle_start <= now_after
+ def test_backs_up_existing_claude_md(self, tmp_path: Path) -> None:
+ claude_dir = tmp_path / ".claude"
+ claude_dir.mkdir()
+ original_content = "# Original project instructions"
+ (claude_dir / "CLAUDE.md").write_text(original_content)
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Full prompt",
+ prompt_core="Slim core",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
-class TestRunnerBgWarnings:
- """Tests for background warning messages from non-claude runners."""
+ backup = claude_dir / "CLAUDE.md.factory-backup"
+ assert backup.exists()
+ assert backup.read_text() == original_content
+ assert (claude_dir / "CLAUDE.md").read_text() == "Slim core"
- async def test_opencode_bg_warning(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- """OpenCodeRunner logs a warning when extras['background']=True."""
- monkeypatch.setenv("FACTORY_OPENCODE_DRY_RUN", "1")
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+ backup.unlink(missing_ok=True)
- runner = OpenCodeRunner()
- with patch("factory.runners.opencode.log") as mock_log:
- await runner.headless(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- role="researcher", extras={"background": True},
- ))
- mock_log.warning.assert_any_call("opencode_bg_not_supported", hint="--bg is a claude-only feature")
+ def test_creates_claude_dir_if_missing(self, tmp_path: Path) -> None:
+ assert not (tmp_path / ".claude").exists()
- async def test_bob_bg_warning(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- """BobRunner logs a warning when extras['background']=True."""
- monkeypatch.setenv("FACTORY_BOB_DRY_RUN", "1")
- (tmp_path / ".factory").mkdir()
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- runner = BobRunner()
- with patch("factory.runners.bob.log") as mock_log:
- await runner.headless(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- role="researcher", extras={"background": True},
- ))
- mock_log.warning.assert_any_call("bob_bg_not_supported", hint="--bg is a claude-only feature")
+ assert (tmp_path / ".claude").is_dir()
- async def test_codex_bg_warning(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- """CodexRunner logs a warning when extras['background']=True."""
- monkeypatch.setenv("FACTORY_CODEX_DRY_RUN", "1")
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- from factory.runners.codex import CodexRunner
- runner = CodexRunner()
- with patch("factory.runners.codex.log") as mock_log:
- await runner.headless(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- role="researcher", extras={"background": True},
- ))
- mock_log.warning.assert_any_call("codex_bg_not_supported", hint="--bg is a claude-only feature")
+ def test_writes_settings_local_json(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
+ settings_path = tmp_path / ".claude" / "settings.local.json"
+ assert settings_path.exists()
+ settings = json.loads(settings_path.read_text())
+ assert settings["disallowedTools"] == ["Agent"]
-class TestOpenCodeInteractive:
- """Tests for OpenCodeRunner.interactive_run() — prompt delivery."""
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- def test_interactive_run_passes_prompt(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- """interactive_run() passes -p with the prompt to OpenCode."""
- monkeypatch.setenv("OPENAI_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_OPENCODE_DRY_RUN", raising=False)
- runner = OpenCodeRunner()
+ def test_merges_existing_settings_local_json(self, tmp_path: Path) -> None:
+ claude_dir = tmp_path / ".claude"
+ claude_dir.mkdir()
+ settings_path = claude_dir / "settings.local.json"
+ settings_path.write_text(
+ json.dumps({"existingKey": "value", "disallowedTools": ["OldTool"]})
+ )
- with patch("factory.runners.opencode.subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- code = runner.interactive_run(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
cwd=tmp_path,
- ))
+ )
+ )
- assert code == 0
- cmd = mock_run.call_args[0][0]
- assert cmd[0] == "opencode"
- assert "-p" in cmd
- p_idx = cmd.index("-p")
- full_prompt = cmd[p_idx + 1]
- assert "You are the CEO." in full_prompt
- assert "Start session" in full_prompt
- assert "## Current Task" in full_prompt
-
- def test_interactive_run_passes_cwd(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- """interactive_run() passes -c with the cwd."""
- monkeypatch.setenv("OPENAI_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_OPENCODE_DRY_RUN", raising=False)
- runner = OpenCodeRunner()
-
- with patch("factory.runners.opencode.subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- runner.interactive_run(AgentRunRequest(
+ settings = json.loads(settings_path.read_text())
+ assert settings["existingKey"] == "value"
+ assert settings["disallowedTools"] == ["Agent"]
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_handles_corrupt_settings_local_json(self, tmp_path: Path) -> None:
+ claude_dir = tmp_path / ".claude"
+ claude_dir.mkdir()
+ (claude_dir / "settings.local.json").write_text("not valid json{{{")
+
+ runner = ClaudeRunner()
+ _, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
prompt="Test",
task="Test",
cwd=tmp_path,
- ))
+ )
+ )
- cmd = mock_run.call_args[0][0]
- assert "-c" in cmd
- c_idx = cmd.index("-c")
- assert cmd[c_idx + 1] == str(tmp_path)
+ settings = json.loads((claude_dir / "settings.local.json").read_text())
+ assert settings["disallowedTools"] == ["Agent"]
- def test_interactive_run_dry_run(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
- ) -> None:
- """interactive_run() prints dry-run message and returns 0."""
- monkeypatch.setenv("FACTORY_OPENCODE_DRY_RUN", "1")
- runner = OpenCodeRunner()
+ for f in temp_files:
+ f.unlink(missing_ok=True)
- code = runner.interactive_run(AgentRunRequest(
- prompt="Test prompt",
- task="Test task",
- cwd=tmp_path,
- ))
+ def test_no_disallowed_tools_in_cmd(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- assert code == 0
- captured = capsys.readouterr()
- assert "[DRY-RUN]" in captured.out
+ assert "--disallowedTools" not in cmd
+ for f in temp_files:
+ f.unlink(missing_ok=True)
-class TestBobInteractivePrompt:
- """Tests for BobRunner.interactive_run() — prompt delivery."""
- def test_interactive_run_passes_prompt_via_i_flag(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- """interactive_run() passes the prompt via -i flag."""
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
- monkeypatch.delenv("FACTORY_BOB_DRY_RUN", raising=False)
+class TestDisallowedAgentTool:
+ """Tests for --disallowedTools Agent across all Claude Code execution paths."""
- import factory.runners.bob as bob_module
- bob_module._auth_checked = False
+ def test_build_command_includes_disallowed_tools(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- (tmp_path / ".factory").mkdir()
- runner = BobRunner()
+ assert "--disallowedTools" in cmd
+ dt_idx = cmd.index("--disallowedTools")
+ assert cmd[dt_idx + 1] == "Agent"
- with patch("subprocess.run") as mock_run:
- mock_run.return_value = type("Result", (), {"returncode": 0})()
- code = runner.interactive_run(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_build_interactive_command_uses_settings_not_cli_flag(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
cwd=tmp_path,
- ))
+ )
+ )
- assert code == 0
- cmd = mock_run.call_args[0][0]
- assert cmd[0] == "bob"
- assert "-i" in cmd
- i_idx = cmd.index("-i")
- full_prompt = cmd[i_idx + 1]
- assert "You are the CEO." in full_prompt
- assert "Start session" in full_prompt
+ assert "--disallowedTools" not in cmd
- bob_module._auth_checked = False
+ settings_path = tmp_path / ".claude" / "settings.local.json"
+ assert settings_path.exists()
+ settings = json.loads(settings_path.read_text())
+ assert settings["disallowedTools"] == ["Agent"]
+ for f in temp_files:
+ f.unlink(missing_ok=True)
-class TestBobMetaAuthCheck:
- """Tests for BobRunner.metadata().check_auth() — file-based auth support."""
+ async def test_headless_subprocess_receives_disallowed_tools(self, tmp_path: Path) -> None:
+ runner = ClaudeRunner()
- def test_check_auth_true_with_env_var(self, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("BOBSHELL_API_KEY", "test-key")
- meta = BobRunner.metadata()
- assert meta.check_auth() is True
+ with patch(
+ "factory.runners._subprocess.stream_subprocess", new_callable=AsyncMock
+ ) as mock_stream:
+ mock_stream.return_value = (b'{"result":"ok"}', b"")
- def test_check_auth_true_with_bob_config(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- bob_dir = tmp_path / ".bob"
- bob_dir.mkdir()
- (bob_dir / "settings.json").write_text("{}")
- monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path))
+ with patch(
+ "factory.runners._subprocess.asyncio.create_subprocess_exec", new_callable=AsyncMock
+ ) as mock_exec:
+ mock_proc = AsyncMock()
+ mock_proc.returncode = 0
+ mock_exec.return_value = mock_proc
- meta = BobRunner.metadata()
- assert meta.check_auth() is True
+ await runner.headless(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
- def test_check_auth_true_with_factory_auth_file(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- monkeypatch.chdir(tmp_path)
- (tmp_path / ".factory").mkdir()
- (tmp_path / ".factory" / ".bob_auth").write_text("file-key")
+ all_args = list(mock_exec.call_args[0])
+ assert "--disallowedTools" in all_args
+ dt_idx = all_args.index("--disallowedTools")
+ assert all_args[dt_idx + 1] == "Agent"
- meta = BobRunner.metadata()
- assert meta.check_auth() is True
+ async def test_background_command_includes_disallowed_tools(self, tmp_path: Path) -> None:
+ from factory.runners._background import run_in_background
- def test_check_auth_false_when_nothing_configured(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- monkeypatch.chdir(tmp_path)
- monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path))
+ with (
+ patch("factory.runners._background.subprocess.run") as mock_run,
+ patch("factory.runners._background.asyncio.sleep", new_callable=AsyncMock),
+ ):
+ mock_run.return_value = type(
+ "R", (), {"stdout": "backgrounded · abc123", "stderr": "", "returncode": 0}
+ )()
- meta = BobRunner.metadata()
- assert meta.check_auth() is False
+ await run_in_background(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ role="test",
+ timeout=0.1,
+ )
- def test_check_auth_false_with_empty_auth_file(
- self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- monkeypatch.delenv("BOBSHELL_API_KEY", raising=False)
- monkeypatch.chdir(tmp_path)
- monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path))
- (tmp_path / ".factory").mkdir()
- (tmp_path / ".factory" / ".bob_auth").write_text(" \n ")
+ cmd = mock_run.call_args_list[0][0][0]
+ assert "--disallowedTools" in cmd
+ dt_idx = cmd.index("--disallowedTools")
+ assert cmd[dt_idx + 1] == "Agent"
+
+ async def test_tmux_command_includes_disallowed_tools(self, tmp_path: Path) -> None:
+ from factory.runners._tmux_persist import run_in_tmux
+
+ with (
+ patch("factory.runners._tmux_persist.subprocess.run") as mock_run,
+ patch("factory.runners._tmux_persist._session_exists", return_value=True),
+ patch("factory.runners._tmux_persist._window_exists", return_value=False),
+ patch("factory.runners._tmux_persist._generate_settings") as mock_settings,
+ patch("factory.runners._tmux_persist._cleanup"),
+ ):
+ mock_settings.return_value = tmp_path / "settings.json"
+ (tmp_path / "settings.json").write_text("{}")
+ mock_run.return_value = type("R", (), {"stdout": "", "stderr": "", "returncode": 0})()
+
+ await run_in_tmux(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ role="test",
+ project_path=tmp_path,
+ timeout=0.1,
+ )
- meta = BobRunner.metadata()
- assert meta.check_auth() is False
+ first_call_args = mock_run.call_args_list[0][0][0]
+ wrapper_script_path = first_call_args[-1]
+ wrapper_content = Path(wrapper_script_path).read_text()
+ assert "--disallowedTools" in wrapper_content
+ assert "Agent" in wrapper_content
-class TestRunnerMetaCustomAuthCheck:
- """Tests for RunnerMeta.custom_auth_check support."""
+class TestGetRunnerChoices:
+ """Tests for get_runner_choices() — returns sorted list of runner names."""
- def test_custom_auth_check_used_when_provided(self) -> None:
- from factory.runners.protocol import RunnerMeta
+ def test_returns_sorted_list(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_runner_choices
- meta = RunnerMeta(
- name="test", display_name="Test", binary="test",
- install_hint="test", custom_auth_check=lambda: True,
- )
- assert meta.check_auth() is True
+ import factory.runners as runners_mod
- def test_falls_back_to_env_var_check_without_custom(
- self, monkeypatch: pytest.MonkeyPatch
- ) -> None:
- from factory.runners.protocol import RunnerMeta
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- monkeypatch.delenv("SOME_KEY", raising=False)
- meta = RunnerMeta(
- name="test", display_name="Test", binary="test",
- install_hint="test", required_env_vars=["SOME_KEY"],
- )
- assert meta.check_auth() is False
+ choices = get_runner_choices()
+ assert isinstance(choices, list)
+ assert choices == sorted(choices)
+ assert "claude" in choices
+ def test_returns_strings(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_runner_choices
-class TestSaveReview:
- """Tests for _save_review with and without review_tag."""
+ import factory.runners as runners_mod
- def test_save_review_with_tag(self, tmp_path: Path) -> None:
- from factory.agents.runner import _save_review
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- project = tmp_path / "proj"
- project.mkdir()
- _save_review(project, "researcher", "some output", 0, review_tag="codebase")
- reviews = project / ".factory" / "reviews"
- assert (reviews / "researcher-codebase-latest.md").exists()
- content = (reviews / "researcher-codebase-latest.md").read_text()
- assert "some output" in content
- assert "exit_code:** 0" in content
- assert not (reviews / "researcher-latest.md").exists()
+ choices = get_runner_choices()
+ assert all(isinstance(c, str) for c in choices)
- def test_save_review_without_tag(self, tmp_path: Path) -> None:
- from factory.agents.runner import _save_review
- project = tmp_path / "proj"
- project.mkdir()
- _save_review(project, "researcher", "output text", 0)
- reviews = project / ".factory" / "reviews"
- assert (reviews / "researcher-latest.md").exists()
- content = (reviews / "researcher-latest.md").read_text()
- assert "output text" in content
+class TestGetAllRunnerMeta:
+ """Tests for get_all_runner_meta() — returns metadata for all runners."""
- async def test_invoke_agents_parallel_auto_tags(self, tmp_path: Path) -> None:
- from factory.agents.runner import invoke_agents_parallel
+ def test_returns_list_of_runner_meta(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_all_runner_meta
- project = tmp_path / "proj"
- (project / ".factory" / "reviews").mkdir(parents=True)
+ import factory.runners as runners_mod
- with patch(
- "factory.agents.runner.invoke_agent", new_callable=AsyncMock
- ) as mock_invoke:
- mock_invoke.return_value = ("agent output", 0)
-
- tasks: list[tuple[str, str]] = [
- ("researcher", "task A"),
- ("researcher", "task B"),
- ("researcher", "task C"),
- ]
- results = await invoke_agents_parallel(tasks, project)
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- assert len(results) == 3
- assert mock_invoke.call_count == 3
- tags = [call.kwargs["review_tag"] for call in mock_invoke.call_args_list]
- assert tags == ["0", "1", "2"]
+ metas = get_all_runner_meta()
+ assert isinstance(metas, list)
+ assert len(metas) > 0
+ assert all(isinstance(m, RunnerMeta) for m in metas)
+ def test_includes_claude_runner(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_all_runner_meta
-class TestClaudeBuildInteractiveCommand:
- """Tests for ClaudeRunner.build_interactive_command()."""
+ import factory.runners as runners_mod
- def test_base_command_structure(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- cmd, env, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- ))
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- assert cmd[0] == "claude"
- assert "--append-system-prompt-file" in cmd
- assert "Start session" in cmd
- assert "-p" not in cmd
- assert "--output-format" not in cmd
+ metas = get_all_runner_meta()
+ names = {m.name for m in metas}
+ assert "claude" in names
- for f in temp_files:
- f.unlink(missing_ok=True)
+ def test_handles_runner_without_metadata(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_all_runner_meta
- def test_permission_flag(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- cmd, _, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, skip_permissions=True,
- ))
+ import factory.runners as runners_mod
- assert "--dangerously-skip-permissions" in cmd
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- for f in temp_files:
- f.unlink(missing_ok=True)
+ class FakeRunner:
+ name = "fake"
- def test_no_permission_flag_when_not_skipped(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- cmd, _, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, skip_permissions=False,
- ))
+ original_runners = dict(runners_mod._RUNNERS)
+ try:
+ runners_mod._RUNNERS["fake"] = FakeRunner # type: ignore[assignment]
+ metas = get_all_runner_meta()
+ fake_names = [m.name for m in metas if m.name == "fake"]
+ assert len(fake_names) == 0
+ finally:
+ runners_mod._RUNNERS.clear()
+ runners_mod._RUNNERS.update(original_runners)
- assert "--dangerously-skip-permissions" not in cmd
- for f in temp_files:
- f.unlink(missing_ok=True)
+class TestGetAvailableRunners:
+ """Tests for get_available_runners() — returns all registered runners."""
- def test_model_flag_and_env(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- cmd, env, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, model="claude-opus-4-7",
- ))
+ def test_returns_dict_copy(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_available_runners
- assert "--model" in cmd
- assert "claude-opus-4-7" in cmd
- assert env["FACTORY_MODEL"] == "claude-opus-4-7"
+ import factory.runners as runners_mod
- for f in temp_files:
- f.unlink(missing_ok=True)
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- def test_session_name_flag(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- cmd, _, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, session_name="my-session",
- ))
+ runners = get_available_runners()
+ assert isinstance(runners, dict)
+ runners["new_key"] = "test" # type: ignore[assignment]
+ runners2 = get_available_runners()
+ assert "new_key" not in runners2
- assert "--name" in cmd
- assert "my-session" in cmd
+ def test_includes_claude_runner(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ from factory.runners import get_available_runners
- for f in temp_files:
- f.unlink(missing_ok=True)
+ import factory.runners as runners_mod
- def test_env_strips_virtual_env(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
- runner = ClaudeRunner()
- _, env, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", True)
- assert "VIRTUAL_ENV" not in env
+ runners = get_available_runners()
+ assert "claude" in runners
- for f in temp_files:
- f.unlink(missing_ok=True)
- def test_temp_file_in_list(self, tmp_path: Path) -> None:
- runner = ClaudeRunner()
- _, _, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test prompt content", task="Test", cwd=tmp_path,
- ))
+class TestLoadEntrypointRunners:
+ """Tests for _load_entrypoint_runners() — entry_points discovery."""
- assert len(temp_files) == 1
- assert temp_files[0].exists()
- assert temp_files[0].read_text() == "Test prompt content"
+ def test_loads_only_once(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ import factory.runners as runners_mod
- for f in temp_files:
- f.unlink(missing_ok=True)
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+ with patch("factory.runners.entry_points", create=True):
+ runners_mod._load_entrypoint_runners()
+ runners_mod._load_entrypoint_runners()
-class TestBobBuildInteractiveCommand:
- """Tests for BobRunner.build_interactive_command()."""
+ assert runners_mod._entrypoints_loaded is True
- def test_base_command_structure(self, tmp_path: Path) -> None:
- runner = BobRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- ))
-
- assert cmd[0] == "bob"
- assert "--chat-mode=code" in cmd
- assert "-i" in cmd
- i_idx = cmd.index("-i")
- full_prompt = cmd[i_idx + 1]
- assert "You are the CEO." in full_prompt
- assert "Start session" in full_prompt
- assert "## Current Task" in full_prompt
-
- def test_yolo_flag(self, tmp_path: Path) -> None:
- runner = BobRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, skip_permissions=True,
- ))
-
- assert "--yolo" in cmd
-
- def test_no_yolo_without_skip(self, tmp_path: Path) -> None:
- runner = BobRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path, skip_permissions=False,
- ))
-
- assert "--yolo" not in cmd
-
- def test_env_uses_dict(self, tmp_path: Path) -> None:
- runner = BobRunner()
- _, env, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
-
- assert isinstance(env, dict)
- assert "PATH" in env
-
- def test_uses_i_flag_not_p(self, tmp_path: Path) -> None:
- runner = BobRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
-
- assert "-i" in cmd
- assert "-p" not in cmd
+ def test_loads_plugin_runner(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ import factory.runners as runners_mod
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+ original_runners = dict(runners_mod._RUNNERS)
-class TestOpenCodeBuildInteractiveCommand:
- """Tests for OpenCodeRunner.build_interactive_command()."""
+ class PluginRunner:
+ name = "plugin"
- def test_base_command_structure(self, tmp_path: Path) -> None:
- runner = OpenCodeRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="You are the CEO.",
- task="Start session",
- cwd=tmp_path,
- ))
-
- assert cmd[0] == "opencode"
- assert "-p" in cmd
- p_idx = cmd.index("-p")
- full_prompt = cmd[p_idx + 1]
- assert "You are the CEO." in full_prompt
- assert "Start session" in full_prompt
- assert "-c" in cmd
- c_idx = cmd.index("-c")
- assert cmd[c_idx + 1] == str(tmp_path)
- assert "-q" not in cmd
+ mock_ep = MagicMock()
+ mock_ep.name = "plugin"
+ mock_ep.load.return_value = PluginRunner
- def test_env_strips_virtual_env(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
- monkeypatch.setenv("VIRTUAL_ENV", "/some/venv")
- runner = OpenCodeRunner()
- _, env, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
+ try:
+ with patch("importlib.metadata.entry_points", return_value=[mock_ep]):
+ runners_mod._load_entrypoint_runners()
- assert "VIRTUAL_ENV" not in env
+ assert "plugin" in runners_mod._RUNNERS
+ assert runners_mod._RUNNERS["plugin"] is PluginRunner
+ finally:
+ runners_mod._RUNNERS.clear()
+ runners_mod._RUNNERS.update(original_runners)
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+
+ def test_skips_existing_runner_names(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ import factory.runners as runners_mod
+
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+ original_claude = runners_mod._RUNNERS["claude"]
+
+ mock_ep = MagicMock()
+ mock_ep.name = "claude"
+ mock_ep.load.return_value = MagicMock()
+
+ try:
+ with patch("importlib.metadata.entry_points", return_value=[mock_ep]):
+ runners_mod._load_entrypoint_runners()
+
+ assert runners_mod._RUNNERS["claude"] is original_claude
+ mock_ep.load.assert_not_called()
+ finally:
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+
+ def test_handles_plugin_load_failure(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ import factory.runners as runners_mod
+
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
+ original_runners = dict(runners_mod._RUNNERS)
+
+ mock_ep = MagicMock()
+ mock_ep.name = "broken_plugin"
+ mock_ep.load.side_effect = RuntimeError("plugin load failed")
+
+ try:
+ with patch("importlib.metadata.entry_points", return_value=[mock_ep]):
+ runners_mod._load_entrypoint_runners()
+
+ assert "broken_plugin" not in runners_mod._RUNNERS
+ finally:
+ runners_mod._RUNNERS.clear()
+ runners_mod._RUNNERS.update(original_runners)
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
- def test_no_quiet_flag(self, tmp_path: Path) -> None:
- runner = OpenCodeRunner()
- cmd, _, _ = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
+ def test_handles_entry_points_import_failure(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ import factory.runners as runners_mod
- assert "-q" not in cmd
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
- def test_empty_temp_files(self, tmp_path: Path) -> None:
- runner = OpenCodeRunner()
- _, _, temp_files = runner.build_interactive_command(AgentRunRequest(
- prompt="Test", task="Test", cwd=tmp_path,
- ))
+ with patch("importlib.metadata.entry_points", side_effect=Exception("no entry_points")):
+ runners_mod._load_entrypoint_runners()
- assert temp_files == []
+ assert runners_mod._entrypoints_loaded is True
+ monkeypatch.setattr(runners_mod, "_entrypoints_loaded", False)
diff --git a/tests/test_session_lifecycle.py b/tests/test_session_lifecycle.py
index 2df1f4d33..7418baf7f 100644
--- a/tests/test_session_lifecycle.py
+++ b/tests/test_session_lifecycle.py
@@ -11,7 +11,7 @@
import pytest
from factory.agents.runner import begin_cycle_session, complete_cycle_session
-from factory.cli import _start_ceo_tailer, _stop_ceo_tailer
+from factory.cli._ceo_dispatch import _start_ceo_tailer, _stop_ceo_tailer
from factory.models import AgentRunResult, AgentUsage
from factory.telemetry import TranscriptTailer
@@ -191,21 +191,52 @@ def test_start_ceo_tailer_creates_span_and_starts_tailer(
mock_start.assert_called_once()
+def test_start_ceo_tailer_skips_span_in_headless_mode(
+ tmp_path: Path, _mock_telemetry, monkeypatch,
+) -> None:
+ """In headless mode, _start_ceo_tailer must NOT create a Langfuse span
+ but still starts the tailer for the on_line callback."""
+ monkeypatch.setenv("FACTORY_TRACE_ID", "trace-001")
+ on_line = MagicMock()
+ with patch.object(TranscriptTailer, "start") as mock_start, \
+ patch("factory.telemetry.begin_span") as mock_begin:
+ tailer = _start_ceo_tailer(
+ tmp_path, "span-001", time.time(),
+ on_line=on_line, is_headless=True,
+ )
+
+ assert tailer is not None
+ assert tailer.span_id == ""
+ mock_begin.assert_not_called()
+ mock_start.assert_called_once()
+
+
def test_stop_ceo_tailer_noop_when_none() -> None:
_stop_ceo_tailer(None)
def test_stop_ceo_tailer_drains_and_ends_span(monkeypatch) -> None:
- monkeypatch.setenv("FACTORY_TRACE_ID", "trace-001")
+ """_stop_ceo_tailer mirrors _complete_span_safe: obs.update() → obs.end() → flush()."""
+ import factory.telemetry as tmod
+
+ mock_obs = MagicMock()
+ tmod._observations["span-ceo"] = mock_obs
+
mock_tailer = MagicMock()
mock_tailer.span_id = "span-ceo"
mock_tailer.stop_and_drain.return_value = 5
- with patch("factory.telemetry.end_span") as mock_end:
+ with patch("factory.telemetry.flush") as mock_flush:
_stop_ceo_tailer(mock_tailer)
mock_tailer.stop_and_drain.assert_called_once()
- mock_end.assert_called_once_with("trace-001", "span-ceo", status="completed")
+ mock_obs.update.assert_called_once_with(
+ output="CEO session completed (5 observations ingested)",
+ metadata={"status": "completed", "observations_count": 5},
+ )
+ mock_obs.end.assert_called_once()
+ mock_flush.assert_called_once()
+ assert "span-ceo" not in tmod._observations
# ---------------------------------------------------------------------------
diff --git a/tests/test_session_resume.py b/tests/test_session_resume.py
new file mode 100644
index 000000000..0ec1d5b48
--- /dev/null
+++ b/tests/test_session_resume.py
@@ -0,0 +1,651 @@
+"""Tests for CEO session resume via Claude --resume/--session-id."""
+
+import json
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.models import AgentRunRequest
+
+
+class TestAgentRunRequestSessionFields:
+ """Tests for session_id and resume_session_id fields on AgentRunRequest."""
+
+ def test_default_none(self) -> None:
+ req = AgentRunRequest(prompt="p", task="t", cwd=Path("/tmp"))
+ assert req.session_id is None
+ assert req.resume_session_id is None
+
+ def test_session_id_set(self) -> None:
+ req = AgentRunRequest(
+ prompt="p",
+ task="t",
+ cwd=Path("/tmp"),
+ session_id="abc-123",
+ )
+ assert req.session_id == "abc-123"
+ assert req.resume_session_id is None
+
+ def test_resume_session_id_set(self) -> None:
+ req = AgentRunRequest(
+ prompt="p",
+ task="t",
+ cwd=Path("/tmp"),
+ resume_session_id="xyz-789",
+ )
+ assert req.session_id is None
+ assert req.resume_session_id == "xyz-789"
+
+
+class TestCycleStateClaudeSessionId:
+ """Tests for claude_session_id field on CycleState."""
+
+ def test_default_none(self) -> None:
+ from factory.ceo_completion import create_cycle_state
+
+ state = create_cycle_state("improve")
+ assert state.claude_session_id is None
+
+ def test_round_trip(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import (
+ create_cycle_state,
+ read_cycle_state,
+ write_cycle_state,
+ )
+
+ state = create_cycle_state("build")
+ state.claude_session_id = "session-abc-123"
+ write_cycle_state(tmp_path, state)
+
+ loaded = read_cycle_state(tmp_path)
+ assert loaded is not None
+ assert loaded.claude_session_id == "session-abc-123"
+
+ def test_round_trip_none(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import (
+ create_cycle_state,
+ read_cycle_state,
+ write_cycle_state,
+ )
+
+ state = create_cycle_state("improve")
+ write_cycle_state(tmp_path, state)
+
+ loaded = read_cycle_state(tmp_path)
+ assert loaded is not None
+ assert loaded.claude_session_id is None
+
+
+class TestRunnerMetaSessionResume:
+ """Tests for supports_session_resume on RunnerMeta."""
+
+ def test_default_false(self) -> None:
+ from factory.runners.protocol import RunnerMeta
+
+ meta = RunnerMeta(
+ name="test",
+ display_name="Test",
+ binary="test",
+ install_hint="test",
+ )
+ assert meta.supports_session_resume is False
+
+ def test_claude_supports_session_resume(self) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ meta = ClaudeRunner.metadata()
+ assert meta.supports_session_resume is True
+
+class TestClaudeBuildCommandSessionFlags:
+ """Tests for --session-id and --resume flags in build_command."""
+
+ def test_session_id_flag(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ session_id="sid-001",
+ )
+ )
+
+ assert "--session-id" in cmd
+ idx = cmd.index("--session-id")
+ assert cmd[idx + 1] == "sid-001"
+ assert "--resume" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_resume_flag(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ resume_session_id="rsid-002",
+ )
+ )
+
+ assert "--resume" in cmd
+ idx = cmd.index("--resume")
+ assert cmd[idx + 1] == "rsid-002"
+ assert "--session-id" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_resume_takes_precedence(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ session_id="sid-001",
+ resume_session_id="rsid-002",
+ )
+ )
+
+ assert "--resume" in cmd
+ assert "--session-id" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_no_flags_when_none(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
+
+ assert "--session-id" not in cmd
+ assert "--resume" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+
+class TestClaudeBuildInteractiveCommandSessionFlags:
+ """Tests for --session-id and --resume flags in build_interactive_command."""
+
+ def test_session_id_flag(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ session_id="sid-i-001",
+ )
+ )
+
+ assert "--session-id" in cmd
+ idx = cmd.index("--session-id")
+ assert cmd[idx + 1] == "sid-i-001"
+ assert "--resume" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_resume_flag(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ resume_session_id="rsid-i-002",
+ )
+ )
+
+ assert "--resume" in cmd
+ idx = cmd.index("--resume")
+ assert cmd[idx + 1] == "rsid-i-002"
+ assert "--session-id" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_no_flags_when_none(self, tmp_path: Path) -> None:
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ cmd, _, temp_files = runner.build_interactive_command(
+ AgentRunRequest(
+ prompt="Test",
+ task="Test",
+ cwd=tmp_path,
+ )
+ )
+
+ assert "--session-id" not in cmd
+ assert "--resume" not in cmd
+
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+
+class TestSessionPersistence:
+ """Tests for read_ceo_session_id, read_ceo_session, and write_ceo_session_id."""
+
+ def test_write_and_read(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import read_ceo_session_id, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "test-session-123")
+ result = read_ceo_session_id(tmp_path)
+ assert result == "test-session-123"
+
+ def test_read_nonexistent(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import read_ceo_session_id
+
+ assert read_ceo_session_id(tmp_path) is None
+
+ def test_read_malformed(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import _session_state_path, read_ceo_session_id
+
+ path = _session_state_path(tmp_path)
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_text("not valid json{{{")
+
+ assert read_ceo_session_id(tmp_path) is None
+
+ def test_write_creates_directory(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import _session_state_path, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "sid-abc")
+ path = _session_state_path(tmp_path)
+ assert path.exists()
+
+ data = json.loads(path.read_text())
+ assert data["session_id"] == "sid-abc"
+ assert "created" in data
+
+ def test_write_stores_metadata(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import _session_state_path, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "sid-meta", interactive=True, mode="design")
+ path = _session_state_path(tmp_path)
+ data = json.loads(path.read_text())
+ assert data["session_id"] == "sid-meta"
+ assert data["interactive"] is True
+ assert data["mode"] == "design"
+
+ def test_write_defaults_metadata(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import _session_state_path, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "sid-defaults")
+ path = _session_state_path(tmp_path)
+ data = json.loads(path.read_text())
+ assert data["interactive"] is False
+ assert data["mode"] == ""
+
+ def test_read_ceo_session_full(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import read_ceo_session, write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "sid-full", interactive=False, mode="improve")
+ result = read_ceo_session(tmp_path)
+ assert result is not None
+ assert result["session_id"] == "sid-full"
+ assert result["interactive"] is False
+ assert result["mode"] == "improve"
+ assert "created" in result
+
+ def test_read_ceo_session_nonexistent(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import read_ceo_session
+
+ assert read_ceo_session(tmp_path) is None
+
+ def test_read_ceo_session_malformed(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import _session_state_path, read_ceo_session
+
+ path = _session_state_path(tmp_path)
+ path.parent.mkdir(parents=True, exist_ok=True)
+ path.write_text("not json")
+ assert read_ceo_session(tmp_path) is None
+
+ def test_delete_cycle_state_also_deletes_session(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import (
+ create_cycle_state,
+ delete_cycle_state,
+ read_ceo_session_id,
+ write_ceo_session_id,
+ write_cycle_state,
+ )
+
+ state = create_cycle_state("improve")
+ write_cycle_state(tmp_path, state)
+ write_ceo_session_id(tmp_path, "session-to-delete")
+
+ assert read_ceo_session_id(tmp_path) == "session-to-delete"
+
+ deleted = delete_cycle_state(tmp_path)
+ assert deleted is True
+ assert read_ceo_session_id(tmp_path) is None
+
+
+class TestCompletionGuardSessionThreading:
+ """Tests for session_id threading across respawns in the completion guard."""
+
+ @pytest.fixture(autouse=True)
+ def enable_respawn(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.delenv("FACTORY_CEO_RESPAWN_DISABLED", raising=False)
+
+ async def test_first_spawn_uses_session_id(self, tmp_path: Path) -> None:
+ """First spawn passes session_id, not resume_session_id."""
+ from factory.ceo_completion import run_ceo_with_completion_guard
+ from factory.events import emit_event
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n")
+ exp_dir = tmp_path / ".factory" / "experiments" / "001"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "verdict.json").write_text('{"verdict": "keep"}')
+
+ captured_kwargs: list[dict] = []
+
+ async def mock_invoke(role, task, path, **kwargs):
+ captured_kwargs.append(kwargs)
+ emit_event(path, "agent.completed", agent="ceo", data={"session_id": "returned-sid"})
+ return "done", 0
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Initial task",
+ mode="improve",
+ runner_name="claude",
+ session_id="my-session-id",
+ )
+
+ assert len(captured_kwargs) == 1
+ assert captured_kwargs[0]["session_id"] == "my-session-id"
+ assert captured_kwargs[0].get("resume_session_id") is None
+
+ async def test_respawn_uses_resume_session_id(self, tmp_path: Path) -> None:
+ """Respawns pass resume_session_id captured from first spawn's events."""
+ from factory.ceo_completion import run_ceo_with_completion_guard
+ from factory.events import emit_event
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n\n#### H2: B\n")
+ (tmp_path / ".factory" / "experiments").mkdir(parents=True)
+
+ call_count = 0
+ captured_kwargs: list[dict] = []
+
+ async def mock_invoke(role, task, path, **kwargs):
+ nonlocal call_count
+ call_count += 1
+ captured_kwargs.append(kwargs)
+
+ emit_event(path, "agent.completed", agent="ceo", data={"session_id": "captured-sid"})
+
+ exp_dir = path / ".factory" / "experiments" / f"00{call_count}"
+ exp_dir.mkdir(parents=True, exist_ok=True)
+ (exp_dir / "verdict.json").write_text('{"verdict": "keep"}')
+ return f"run {call_count}", 0
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Initial task",
+ mode="improve",
+ runner_name="claude",
+ session_id="initial-sid",
+ )
+
+ assert call_count == 2
+ assert captured_kwargs[0]["session_id"] == "initial-sid"
+ assert captured_kwargs[0].get("resume_session_id") is None
+ assert captured_kwargs[1].get("session_id") is None
+ assert captured_kwargs[1]["resume_session_id"] == "captured-sid"
+
+ async def test_session_id_persisted_to_cycle_state(self, tmp_path: Path) -> None:
+ """Session ID from events is persisted to CycleState.claude_session_id."""
+ from factory.ceo_completion import read_cycle_state, run_ceo_with_completion_guard
+ from factory.events import emit_event
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text("#### H1: A\n\n#### H2: B\n")
+ (tmp_path / ".factory" / "experiments").mkdir(parents=True)
+
+ call_count = 0
+
+ async def mock_invoke(role, task, path, **kwargs):
+ nonlocal call_count
+ call_count += 1
+
+ emit_event(path, "agent.completed", agent="ceo", data={"session_id": "persisted-sid"})
+
+ exp_dir = path / ".factory" / "experiments" / f"00{call_count}"
+ exp_dir.mkdir(parents=True, exist_ok=True)
+ (exp_dir / "verdict.json").write_text('{"verdict": "keep"}')
+
+ if call_count == 2:
+ state = read_cycle_state(path)
+ assert state is not None
+ assert state.claude_session_id == "persisted-sid"
+
+ return f"run {call_count}", 0
+
+ with patch("factory.agents.runner.invoke_agent", mock_invoke):
+ await run_ceo_with_completion_guard(
+ tmp_path,
+ "Task",
+ mode="improve",
+ runner_name="claude",
+ session_id="initial",
+ )
+
+ assert call_count == 2
+
+
+class TestCmdResume:
+ """Tests for the factory resume command."""
+
+ def test_resume_from_cycle_state_is_headless(self, tmp_path: Path) -> None:
+ """CycleState presence means headless — should include -p and continuation prompt."""
+ from factory.ceo_completion import create_cycle_state, write_cycle_state
+
+ state = create_cycle_state("improve")
+ state.claude_session_id = "cycle-session-id"
+ write_cycle_state(tmp_path, state)
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with (
+ patch("os.execvp") as mock_exec,
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ patch("factory.agents.runner.resolve_prompt", return_value="# CEO prompt"),
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ mock_exec.assert_called_once()
+ call_args = mock_exec.call_args[0]
+ assert call_args[0] == "claude"
+ cmd_list = call_args[1]
+ assert "--resume" in cmd_list
+ assert "cycle-session-id" in cmd_list
+ assert "-p" in cmd_list
+ assert "--disallowedTools" in cmd_list
+
+ def test_resume_interactive_session_no_continuation(self, tmp_path: Path) -> None:
+ """Interactive sessions get a bare resume — no -p flag."""
+ from factory.ceo_completion import write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "interactive-sid", interactive=True, mode="design")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with (
+ patch("os.execvp") as mock_exec,
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ mock_exec.assert_called_once()
+ call_args = mock_exec.call_args[0]
+ cmd_list = call_args[1]
+ assert "--resume" in cmd_list
+ assert "interactive-sid" in cmd_list
+ assert "-p" not in cmd_list
+ assert "--disallowedTools" not in cmd_list
+
+ def test_resume_headless_session_has_continuation(self, tmp_path: Path) -> None:
+ """Headless sessions from session.json get a continuation prompt."""
+ from factory.ceo_completion import write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "headless-sid", interactive=False, mode="improve")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with (
+ patch("os.execvp") as mock_exec,
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ patch("factory.agents.runner.resolve_prompt", return_value="# CEO prompt"),
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ mock_exec.assert_called_once()
+ call_args = mock_exec.call_args[0]
+ cmd_list = call_args[1]
+ assert "-p" in cmd_list
+ p_idx = cmd_list.index("-p")
+ assert "Resume from where you left off" in cmd_list[p_idx + 1]
+ assert "--append-system-prompt-file" in cmd_list
+ assert "--disallowedTools" in cmd_list
+
+ def test_resume_prefers_cycle_state(self, tmp_path: Path) -> None:
+ """CycleState.claude_session_id takes precedence over session.json."""
+ from factory.ceo_completion import (
+ create_cycle_state,
+ write_ceo_session_id,
+ write_cycle_state,
+ )
+
+ state = create_cycle_state("improve")
+ state.claude_session_id = "cycle-sid"
+ write_cycle_state(tmp_path, state)
+ write_ceo_session_id(tmp_path, "file-sid", interactive=True, mode="design")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with (
+ patch("os.execvp") as mock_exec,
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ patch("factory.agents.runner.resolve_prompt", return_value="# CEO prompt"),
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ call_args = mock_exec.call_args[0]
+ cmd_list = call_args[1]
+ assert "cycle-sid" in cmd_list
+ assert "-p" in cmd_list
+
+ def test_resume_no_session_found(self, tmp_path: Path) -> None:
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ from factory.cli.infra import cmd_resume
+
+ code = cmd_resume(args)
+ assert code == 1
+
+ def test_resume_with_model(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "model-test-sid", interactive=True, mode="design")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model="claude-opus-4-7")
+
+ with (
+ patch("os.execvp") as mock_exec,
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ call_args = mock_exec.call_args[0]
+ cmd_list = call_args[1]
+ assert "--model" in cmd_list
+ model_idx = cmd_list.index("--model")
+ assert cmd_list[model_idx + 1] == "claude-opus-4-7"
+
+ def test_resume_no_claude_binary(self, tmp_path: Path) -> None:
+ from factory.ceo_completion import write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "some-sid")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with patch("shutil.which", return_value=None):
+ from factory.cli.infra import cmd_resume
+
+ code = cmd_resume(args)
+ assert code == 1
+
+ def test_resume_resolve_prompt_called_with_mode(self, tmp_path: Path) -> None:
+ """Headless resume passes the correct workflow_mode to resolve_prompt."""
+ from factory.ceo_completion import write_ceo_session_id
+
+ write_ceo_session_id(tmp_path, "mode-sid", interactive=False, mode="research")
+
+ import argparse
+
+ args = argparse.Namespace(path=str(tmp_path), model=None)
+
+ with (
+ patch("os.execvp"),
+ patch("shutil.which", return_value="/usr/bin/claude"),
+ patch("factory.agents.runner.resolve_prompt", return_value="# prompt") as mock_resolve,
+ ):
+ from factory.cli.infra import cmd_resume
+
+ cmd_resume(args)
+
+ mock_resolve.assert_called_once_with("ceo", tmp_path, workflow_mode="research")
diff --git a/tests/test_skill_cache.py b/tests/test_skill_cache.py
new file mode 100644
index 000000000..0728a8db1
--- /dev/null
+++ b/tests/test_skill_cache.py
@@ -0,0 +1,228 @@
+"""Tests for factory.skill_cache — checksum-based workflow skill caching."""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import patch
+
+import pytest
+
+from factory.skill_cache import _compute_checksum, _sort_recursive, ensure_skills
+from factory.workflow.definitions import register_all
+from factory.workflow.primitives import AgentNode, AgentRole, FnNode, Workflow
+from factory.workflow.registry import WorkflowRegistry
+
+
+@pytest.fixture(autouse=True)
+def _reset_workflow_registry():
+ """Reset WorkflowRegistry state between tests."""
+ WorkflowRegistry.reset()
+ yield
+ WorkflowRegistry.reset()
+
+
+def _make_workflow(name: str = "test", cmd: str = "echo hi") -> Workflow:
+ return Workflow(
+ name=name,
+ nodes={"a": FnNode(id="a", command=cmd)},
+ edges=[],
+ start_node="a",
+ )
+
+
+SAMPLE_WORKFLOW_PY = """\
+from factory.workflow.primitives import FnNode, Workflow
+
+meta = {"name": "test_mode", "description": "A test project-local workflow"}
+
+def workflow():
+ return Workflow(
+ name="test_mode",
+ nodes={"start": FnNode(id="start", command="echo hello")},
+ edges=[],
+ start_node="start",
+ )
+"""
+
+
+class TestComputeChecksum:
+ def test_deterministic(self) -> None:
+ workflows = register_all()
+ assert _compute_checksum(workflows) == _compute_checksum(workflows)
+
+ def test_deterministic_with_set_fields(self) -> None:
+ """set[str] fields (reads/writes) must not cause hash variation."""
+ def _make_wf_with_sets() -> dict[str, Workflow]:
+ return {
+ "w": Workflow(
+ name="w",
+ nodes={
+ "a": AgentNode(
+ id="a",
+ role=AgentRole.RESEARCHER,
+ reads={"z", "a", "m", "b"},
+ writes={"x", "c", "w"},
+ ),
+ },
+ edges=[],
+ start_node="a",
+ ),
+ }
+
+ checksums = {_compute_checksum(_make_wf_with_sets()) for _ in range(20)}
+ assert len(checksums) == 1
+
+ def test_sort_recursive(self) -> None:
+ obj = {"b": [3, 1, 2], "a": {"y": [2, 1], "x": 1}}
+ result = _sort_recursive(obj)
+ assert result == {"a": {"x": 1, "y": [1, 2]}, "b": [1, 2, 3]}
+
+ def test_changes_on_modification(self) -> None:
+ wf1 = {"x": _make_workflow("x", "echo 1")}
+ wf2 = {"x": _make_workflow("x", "echo 2")}
+ assert _compute_checksum(wf1) != _compute_checksum(wf2)
+
+
+class TestEnsureSkills:
+ def test_cache_miss(self, tmp_path: Path, monkeypatch: object) -> None:
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+
+ paths = ensure_skills(project)
+ assert len(paths) > 0
+ assert all(p.name == "SKILL.md" for p in paths)
+
+ cache_root = tmp_path / ".factory" / "cache" / "skills"
+ assert cache_root.exists()
+
+ def test_cache_hit(self, tmp_path: Path, monkeypatch: object) -> None:
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+
+ ensure_skills(project)
+
+ with patch(
+ "factory.workflow.skill_export.export_all_skills",
+ wraps=None,
+ ) as mock_export:
+ mock_export.return_value = []
+ paths = ensure_skills(project)
+ mock_export.assert_not_called()
+
+ assert len(paths) > 0
+
+ def test_cache_miss_evicts_stale_checksums(self, tmp_path: Path, monkeypatch: object) -> None:
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+
+ ensure_skills(project)
+
+ cache_root = tmp_path / ".factory" / "cache" / "skills"
+ first_dirs = list(cache_root.iterdir())
+ assert len(first_dirs) == 1
+ old_checksum_dir = first_dirs[0]
+
+ different_registry = {"alt": lambda: _make_workflow("alt", "echo changed")}
+ monkeypatch.setattr(
+ "factory.workflow.definitions._get_builtin_registry",
+ lambda: different_registry,
+ )
+
+ ensure_skills(project)
+
+ remaining = [d for d in cache_root.iterdir() if d.is_dir()]
+ assert len(remaining) == 1
+ assert remaining[0] != old_checksum_dir
+
+ def test_only_workflow_dirs_copied(self, tmp_path: Path, monkeypatch: object) -> None:
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+
+ hand_written = project / "skills" / "implement"
+ hand_written.mkdir(parents=True)
+ marker = hand_written / "SKILL.md"
+ marker.write_text("hand-written")
+
+ ensure_skills(project)
+
+ assert marker.read_text() == "hand-written"
+
+
+class TestProjectLocalWorkflows:
+ def test_discovers_project_local_workflow(self, tmp_path: Path, monkeypatch: object) -> None:
+ """ensure_skills() discovers and generates skills for a project-local workflow."""
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+ wf_dir = project / ".factory" / "workflows"
+ wf_dir.mkdir(parents=True)
+ (wf_dir / "test_mode.py").write_text(SAMPLE_WORKFLOW_PY)
+
+ paths = ensure_skills(project)
+ skill_names = [p.parent.name for p in paths]
+ assert "workflow-test_mode" in skill_names
+
+ skill_md = project / "skills" / "workflow-test_mode" / "SKILL.md"
+ assert skill_md.exists()
+
+ def test_project_local_always_regenerated(self, tmp_path: Path, monkeypatch: object) -> None:
+ """Project-local workflows are always regenerated, not cached."""
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+ wf_dir = project / ".factory" / "workflows"
+ wf_dir.mkdir(parents=True)
+ (wf_dir / "test_mode.py").write_text(SAMPLE_WORKFLOW_PY)
+
+ ensure_skills(project)
+ skill_md = project / "skills" / "workflow-test_mode" / "SKILL.md"
+ first_content = skill_md.read_text()
+
+ updated_py = SAMPLE_WORKFLOW_PY.replace("echo hello", "echo updated")
+ (wf_dir / "test_mode.py").write_text(updated_py)
+
+ ensure_skills(project)
+ second_content = skill_md.read_text()
+ assert second_content != first_content
+
+ def test_builtins_still_use_cache(self, tmp_path: Path, monkeypatch: object) -> None:
+ """Builtin workflows use the cache path, not direct regeneration."""
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+
+ ensure_skills(project)
+
+ cache_root = tmp_path / ".factory" / "cache" / "skills"
+ cache_dirs = list(cache_root.iterdir())
+ assert len(cache_dirs) == 1
+ cached_skills = list(cache_dirs[0].glob("workflow-*"))
+ assert len(cached_skills) > 0
+
+ def test_project_local_not_in_cache_dir(self, tmp_path: Path, monkeypatch: object) -> None:
+ """Project-local workflow skills go directly to project/skills/, not cache."""
+ monkeypatch.setattr(Path, "home", staticmethod(lambda: tmp_path)) # type: ignore[arg-type]
+
+ project = tmp_path / "proj"
+ project.mkdir()
+ wf_dir = project / ".factory" / "workflows"
+ wf_dir.mkdir(parents=True)
+ (wf_dir / "test_mode.py").write_text(SAMPLE_WORKFLOW_PY)
+
+ ensure_skills(project)
+
+ cache_root = tmp_path / ".factory" / "cache" / "skills"
+ for cache_dir in cache_root.iterdir():
+ cached_names = [d.name for d in cache_dir.iterdir() if d.is_dir()]
+ assert "workflow-test_mode" not in cached_names
diff --git a/tests/test_skill_export.py b/tests/test_skill_export.py
index c4f36c5b2..2e391114a 100644
--- a/tests/test_skill_export.py
+++ b/tests/test_skill_export.py
@@ -13,13 +13,16 @@
GateNode,
JoinNode,
Study,
+ SubgraphForkNode,
VerdictType,
Workflow,
)
from factory.workflow.skill_export import (
_agent_to_instruction,
+ _fn_to_instruction,
_fork_to_instruction,
_gate_to_checkpoint,
+ _study_to_instruction,
export_all_skills,
validate_skill,
workflow_to_skill_md,
@@ -37,6 +40,7 @@ def _make_agent(
prompt: str = "",
reads: set[str] | None = None,
writes: set[str] | None = None,
+ timeout: int | None = None,
) -> AgentNode:
return AgentNode(
id=id,
@@ -45,6 +49,7 @@ def _make_agent(
prompt_template=prompt,
reads=reads or set(),
writes=writes or set(),
+ timeout=timeout,
)
@@ -73,28 +78,33 @@ def _minimal_workflow(
class TestAgentToInstruction:
def test_blocking_agent_no_ampersand(self) -> None:
node = _make_agent("builder", blocking=True)
- result = _agent_to_instruction(node)
+ wf = _minimal_workflow(nodes={"builder": node}, start="builder")
+ result = _agent_to_instruction(node, wf)
assert " &" not in result
def test_nonblocking_agent_has_ampersand(self) -> None:
node = _make_agent("archivist", AgentRole.ARCHIVIST, blocking=False)
- result = _agent_to_instruction(node)
+ wf = _minimal_workflow(nodes={"archivist": node}, start="archivist")
+ result = _agent_to_instruction(node, wf)
assert " &" in result
assert "fire-and-forget" in result
def test_parallel_flag_forces_ampersand(self) -> None:
node = _make_agent("researcher_a", AgentRole.RESEARCHER, blocking=True)
- result = _agent_to_instruction(node, is_parallel=True)
+ wf = _minimal_workflow(nodes={"researcher_a": node}, start="researcher_a")
+ result = _agent_to_instruction(node, wf, is_parallel=True)
assert " &" in result
def test_parallel_researcher_gets_review_tag(self) -> None:
node = _make_agent("researcher_web", AgentRole.RESEARCHER)
- result = _agent_to_instruction(node, is_parallel=True)
+ wf = _minimal_workflow(nodes={"researcher_web": node}, start="researcher_web")
+ result = _agent_to_instruction(node, wf, is_parallel=True)
assert "--review-tag web" in result
def test_archivist_gets_haiku_model(self) -> None:
node = _make_agent("archivist", AgentRole.ARCHIVIST)
- result = _agent_to_instruction(node)
+ wf = _minimal_workflow(nodes={"archivist": node}, start="archivist")
+ result = _agent_to_instruction(node, wf)
assert "--model haiku" in result
def test_reads_and_writes_in_prompt(self) -> None:
@@ -103,10 +113,89 @@ def test_reads_and_writes_in_prompt(self) -> None:
reads={"observations.md"},
writes={"changes.diff"},
)
- result = _agent_to_instruction(node)
+ wf = _minimal_workflow(nodes={"builder": node}, start="builder")
+ result = _agent_to_instruction(node, wf)
assert "observations.md" in result
assert "changes.diff" in result
+ def test_emits_timeout_slot(self) -> None:
+ node = _make_agent("builder")
+ wf = _minimal_workflow(nodes={"builder": node}, start="builder")
+ result = _agent_to_instruction(node, wf)
+ assert "{{timeout_builder::" in result
+
+ def test_emits_task_prompt_slot(self) -> None:
+ node = _make_agent("builder", prompt="Build the thing.")
+ wf = _minimal_workflow(nodes={"builder": node}, start="builder")
+ result = _agent_to_instruction(node, wf)
+ assert "{{task_prompt_builder::" in result
+
+ def test_emits_annotation_comments(self) -> None:
+ node = _make_agent("builder")
+ wf = _minimal_workflow(nodes={"builder": node}, start="builder")
+ result = _agent_to_instruction(node, wf)
+ assert "<!-- node: AgentNode id=builder" in result
+ assert "<!-- reads:" in result
+ assert "<!-- writes:" in result
+ assert "<!-- edges:" in result
+
+
+# ── _fn_to_instruction ──────────────────────────────────────────
+
+
+class TestFnToInstruction:
+ def test_basic_command(self) -> None:
+ fn = FnNode(id="fn_eval", command="factory eval {project_path}")
+ wf = _minimal_workflow(nodes={"fn_eval": fn}, start="fn_eval")
+ result = _fn_to_instruction(fn, wf)
+ assert "$PROJECT_PATH" in result
+ assert "<!-- node: FnNode id=fn_eval" in result
+
+ def test_template_placeholder_gets_slot(self) -> None:
+ fn = FnNode(
+ id="fn_finalize", command="factory review --verdict $VERDICT --project {project_path}"
+ )
+ wf = _minimal_workflow(nodes={"fn_finalize": fn}, start="fn_finalize")
+ result = _fn_to_instruction(fn, wf)
+ assert "{{finalize_command_fn_finalize::" in result
+
+ def test_fn_node_notes_rendered(self) -> None:
+ fn = FnNode(
+ id="fn_begin",
+ command="factory begin {project_path}",
+ notes="Open a new experiment for the current hypothesis.",
+ )
+ wf = _minimal_workflow(nodes={"fn_begin": fn}, start="fn_begin")
+ result = _fn_to_instruction(fn, wf)
+ assert "Open a new experiment for the current hypothesis." in result
+ idx_notes = result.index("Open a new experiment")
+ idx_bash = result.index("```bash")
+ assert idx_notes < idx_bash, "Notes must appear before the bash command block"
+
+ def test_fn_node_empty_notes(self) -> None:
+ fn = FnNode(id="fn_eval", command="factory eval {project_path}")
+ wf = _minimal_workflow(nodes={"fn_eval": fn}, start="fn_eval")
+ result = _fn_to_instruction(fn, wf)
+ lines_before_bash = result.split("```bash")[0]
+ non_annotation_lines = [
+ line
+ for line in lines_before_bash.strip().split("\n")
+ if line.strip() and not line.strip().startswith("<!--")
+ ]
+ assert non_annotation_lines == [], "Empty notes should produce no prose before bash block"
+
+ def test_reads_writes_annotations(self) -> None:
+ fn = FnNode(
+ id="fn_score",
+ command="factory eval {project_path}",
+ reads={"eval_profile.json"},
+ writes={"eval_after.json"},
+ )
+ wf = _minimal_workflow(nodes={"fn_score": fn}, start="fn_score")
+ result = _fn_to_instruction(fn, wf)
+ assert "<!-- reads: eval_profile.json -->" in result
+ assert "<!-- writes: eval_after.json -->" in result
+
# ── _fork_to_instruction ────────────────────────────────────────
@@ -156,6 +245,34 @@ def test_fork_skips_non_agent_targets(self) -> None:
assert "factory agent" not in result
assert "wait" in result
+ def test_fork_includes_timeout_guidance_when_needed(self) -> None:
+ """When parallel agents have timeout > 120s, emit timeout guidance for Bash tool."""
+ r1 = _make_agent("researcher_a", AgentRole.RESEARCHER, timeout=600)
+ r2 = _make_agent("researcher_b", AgentRole.RESEARCHER, timeout=600)
+ fork = ForkNode(id="fork_research", targets=["researcher_a", "researcher_b"])
+ wf = _minimal_workflow(
+ nodes={"fork_research": fork, "researcher_a": r1, "researcher_b": r2},
+ start="fork_research",
+ )
+ result = _fork_to_instruction(fork, wf)
+ assert "Important:" in result
+ assert "single" in result.lower()
+ assert "Bash tool" in result
+ assert "600 seconds" in result
+
+ def test_fork_omits_timeout_guidance_when_not_needed(self) -> None:
+ """When all parallel agents have timeout <= 120s, no timeout guidance needed."""
+ r1 = _make_agent("researcher_a", AgentRole.RESEARCHER, timeout=100)
+ r2 = _make_agent("researcher_b", AgentRole.RESEARCHER, timeout=120)
+ fork = ForkNode(id="fork_research", targets=["researcher_a", "researcher_b"])
+ wf = _minimal_workflow(
+ nodes={"fork_research": fork, "researcher_a": r1, "researcher_b": r2},
+ start="fork_research",
+ )
+ result = _fork_to_instruction(fork, wf)
+ assert "Important:" not in result
+ assert "Bash tool" not in result
+
# ── _gate_to_checkpoint ─────────────────────────────────────────
@@ -163,9 +280,21 @@ def test_fork_skips_non_agent_targets(self) -> None:
class TestGateToCheckpoint:
def test_user_gate(self) -> None:
gate = GateNode(id="gate_strategy", evaluator_type="user")
- result = _gate_to_checkpoint(gate, [])
+ wf = _minimal_workflow(nodes={"gate_strategy": gate}, start="gate_strategy")
+ result = _gate_to_checkpoint(gate, [], wf)
assert "User Approval" in result
- assert "Approve" in result
+ assert "Do NOT self-approve" in result
+ assert "MUST wait for the user" in result
+
+ def test_user_gate_anti_self_approval(self) -> None:
+ gate = GateNode(id="gate_approval", evaluator_type="user")
+ wf = _minimal_workflow(nodes={"gate_approval": gate}, start="gate_approval")
+ result = _gate_to_checkpoint(gate, [], wf)
+ assert "Do NOT self-approve" in result
+ assert "MUST wait for the user" in result
+ assert "Do you approve this plan" in result
+ assert "Do NOT write a verdict file" in result
+ assert "CEO Review" not in result
def test_fn_gate_with_command(self) -> None:
gate = GateNode(
@@ -173,7 +302,8 @@ def test_fn_gate_with_command(self) -> None:
evaluator_type="fn",
evaluator_command="factory eval {project_path}",
)
- result = _gate_to_checkpoint(gate, [])
+ wf = _minimal_workflow(nodes={"gate_eval": gate}, start="gate_eval")
+ result = _gate_to_checkpoint(gate, [], wf)
assert "Automated" in result
assert "$PROJECT_PATH" in result
@@ -181,25 +311,63 @@ def test_agent_gate_with_reads(self) -> None:
gate = GateNode(
id="gate_review",
evaluator_type="agent",
- reads={"reviews/qa-latest.md"},
+ reads={"reviews/health-check.md"},
gate_prompt="Assess quality.",
)
- result = _gate_to_checkpoint(gate, [])
+ wf = _minimal_workflow(nodes={"gate_review": gate}, start="gate_review")
+ result = _gate_to_checkpoint(gate, [], wf)
assert "CEO Review" in result
- assert "qa-latest.md" in result
+ assert "health-check.md" in result
assert "Assess quality" in result
def test_reloop_edges_shown(self) -> None:
gate = GateNode(id="gate_build")
+ builder = _make_agent("builder")
reloop = Edge(
source="gate_build",
target="builder",
condition=VerdictType.RELOOP,
)
- result = _gate_to_checkpoint(gate, [reloop])
+ wf = _minimal_workflow(
+ nodes={"gate_build": gate, "builder": builder},
+ edges=[reloop],
+ start="gate_build",
+ )
+ result = _gate_to_checkpoint(gate, [reloop], wf)
assert "RELOOP" in result
assert "builder" in result
+ def test_emits_gate_prompt_slot(self) -> None:
+ gate = GateNode(
+ id="gate_review",
+ evaluator_type="agent",
+ gate_prompt="Check quality.",
+ )
+ wf = _minimal_workflow(nodes={"gate_review": gate}, start="gate_review")
+ result = _gate_to_checkpoint(gate, [], wf)
+ assert "{{gate_prompt_gate_review::" in result
+
+ def test_fn_gate_includes_mandatory_wait(self) -> None:
+ gate = GateNode(
+ id="gate_precheck",
+ evaluator_type="fn",
+ evaluator_command="factory precheck {project_path}",
+ )
+ wf = _minimal_workflow(nodes={"gate_precheck": gate}, start="gate_precheck")
+ result = _gate_to_checkpoint(gate, [], wf)
+ assert "MANDATORY" in result
+ assert "Do NOT run agents in parallel" in result
+
+ def test_emits_annotation_comments(self) -> None:
+ gate = GateNode(
+ id="gate_review",
+ evaluator_type="agent",
+ gate_prompt="Check.",
+ )
+ wf = _minimal_workflow(nodes={"gate_review": gate}, start="gate_review")
+ result = _gate_to_checkpoint(gate, [], wf)
+ assert "<!-- gate: GateNode id=gate_review" in result
+
# ── workflow_to_skill_md ─────────────────────────────────────────
@@ -256,8 +424,12 @@ def test_fork_targets_excluded_from_standalone_phases(self) -> None:
lines = result.split("\n")
phase_lines = [line for line in lines if line.startswith("## Phase")]
phase_titles = [line.lower() for line in phase_lines]
- researcher_standalone = [t for t in phase_titles if "researcher" in t and "parallel" not in t]
- assert len(researcher_standalone) == 0, "Fork targets should not appear as standalone phases"
+ researcher_standalone = [
+ t for t in phase_titles if "researcher" in t and "parallel" not in t
+ ]
+ assert len(researcher_standalone) == 0, (
+ "Fork targets should not appear as standalone phases"
+ )
def test_study_node_generates_observe_phase(self) -> None:
study = Study(
@@ -307,10 +479,10 @@ def test_written_content_passes_validation(self, tmp_path: Path) -> None:
class TestValidateSkill:
def test_valid_skill_no_issues(self) -> None:
content = (
- '---\nname: workflow-build\n'
+ "---\nname: workflow-build\n"
'description: "Build things."\n'
- 'disable-model-invocation: true\n'
- '---\n\n# Build\nDo stuff.\n'
+ "disable-model-invocation: true\n"
+ "---\n\n# Build\nDo stuff.\n"
)
assert validate_skill(content) == []
@@ -338,10 +510,10 @@ def test_invalid_name_format(self) -> None:
assert any("kebab" in i.lower() for i in issues)
def test_oversized_body(self) -> None:
- body = "\n".join(f"line {i}" for i in range(600))
+ body = "\n".join(f"line {i}" for i in range(700))
content = f'---\nname: workflow-test\ndescription: "x"\n---\n{body}'
issues = validate_skill(content)
- assert any("500" in i for i in issues)
+ assert any("600" in i for i in issues)
# ── real workflow skill generation ──────────────────────────────
@@ -350,48 +522,14 @@ def test_oversized_body(self) -> None:
class TestRealWorkflowSkills:
"""Tests that real workflow definitions produce valid, exportable skills."""
- def test_discover_workflow_generates_valid_skill(self) -> None:
- from factory.workflow.definitions import discover_workflow
-
- wf = discover_workflow()
- content = workflow_to_skill_md(wf)
- issues = validate_skill(content)
- assert issues == [], f"Validation issues: {issues}"
- assert "workflow-discover" in content
- assert "factory discover" in content
-
- def test_review_workflow_generates_valid_skill(self) -> None:
- from factory.workflow.definitions import review_workflow
-
- wf = review_workflow()
- content = workflow_to_skill_md(wf)
- issues = validate_skill(content)
- assert issues == [], f"Validation issues: {issues}"
- assert "workflow-review" in content
- assert "eval" in content.lower()
-
- def test_refine_workflow_generates_valid_skill(self) -> None:
- from factory.workflow.definitions import refine_workflow
-
- wf = refine_workflow()
- content = workflow_to_skill_md(wf)
- issues = validate_skill(content)
- assert issues == [], f"Validation issues: {issues}"
- assert "workflow-refine" in content
- assert "refiner" in content.lower()
-
- def test_all_nine_skills_exported(self, tmp_path: Path) -> None:
+ def test_all_registered_skills_exported(self, tmp_path: Path) -> None:
from factory.workflow.definitions import register_all
workflows = register_all()
paths = export_all_skills(tmp_path, workflows=workflows)
- assert len(paths) == 9, f"Expected 9 skills, got {len(paths)}"
+ assert len(paths) == len(workflows), f"Expected {len(workflows)} skills, got {len(paths)}"
dirs = {p.parent.name for p in paths}
- expected = {
- "workflow-build", "workflow-design", "workflow-discover",
- "workflow-review", "workflow-improve", "workflow-research",
- "workflow-meta", "workflow-refine", "workflow-create",
- }
+ expected = {f"workflow-{name}" for name in workflows}
assert dirs == expected, f"Missing: {expected - dirs}"
for p in paths:
content = p.read_text()
@@ -403,22 +541,28 @@ def test_all_nine_skills_exported(self, tmp_path: Path) -> None:
def _workflows_with_builder() -> list[str]:
- """Return names of workflows containing a Builder AgentNode."""
+ """Return names of workflows containing a Builder AgentNode.
+
+ Excludes workflows with SubgraphForkNode — QA runs inside the subgraph,
+ not in the top-level skill prose.
+ """
from factory.workflow.definitions import register_all
names = []
for name, wf in register_all().items():
+ if wf.terminal:
+ continue
has_builder = any(
- isinstance(n, AgentNode) and n.role == AgentRole.BUILDER
- for n in wf.nodes.values()
+ isinstance(n, AgentNode) and n.role == AgentRole.BUILDER for n in wf.nodes.values()
)
- if has_builder:
+ has_subgraph_fork = any(isinstance(n, SubgraphForkNode) for n in wf.nodes.values())
+ if has_builder and not has_subgraph_fork:
names.append(name)
return sorted(names)
class TestSkillQaEnforcement:
- """Every workflow with a Builder must include a QA phase in its exported SKILL.md."""
+ """Every workflow with a Builder must include QA verification in its exported SKILL.md."""
@pytest.mark.parametrize("workflow_name", _workflows_with_builder())
def test_builder_workflow_has_qa_in_skill(self, workflow_name: str) -> None:
@@ -426,6 +570,35 @@ def test_builder_workflow_has_qa_in_skill(self, workflow_name: str) -> None:
wf = register_all()[workflow_name]
content = workflow_to_skill_md(wf)
- assert "factory agent qa" in content, (
- f"workflow-{workflow_name} SKILL.md is missing 'factory agent qa' invocation"
+ qa_roles = {"health_checker", "code_reviewer", "adversarial_tester"}
+ has_qa = any(f"factory agent {role}" in content for role in qa_roles)
+ assert has_qa, (
+ f"workflow-{workflow_name} SKILL.md is missing any QA agent invocation "
+ f"(health_checker, code_reviewer, or adversarial_tester)"
+ )
+
+
+# ── _study_to_instruction focus threading ──────────────────────
+
+
+class TestStudyToInstructionFocus:
+ def test_with_focus(self) -> None:
+ study = Study(
+ id="study",
+ command="factory study {project_path}",
+ focus="auth",
)
+ wf = _minimal_workflow(nodes={"study": study}, start="study")
+ result = _study_to_instruction(study, wf)
+ assert '--focus "auth"' in result
+
+ def test_without_focus_has_ceo_hint(self) -> None:
+ study = Study(
+ id="study",
+ command="factory study {project_path}",
+ )
+ wf = _minimal_workflow(nodes={"study": study}, start="study")
+ result = _study_to_instruction(study, wf)
+ assert '--focus "auth"' not in result
+ assert "focus directive" in result
+ assert '--focus "<your focus topic>"' in result
diff --git a/tests/test_smoke_cli.py b/tests/test_smoke_cli.py
new file mode 100644
index 000000000..97dd56422
--- /dev/null
+++ b/tests/test_smoke_cli.py
@@ -0,0 +1,644 @@
+"""Smoke tests for factory core modes and CLI commands.
+
+Tier 4 integration tests that verify end-to-end behavior of the factory's
+kept modes (detect, discover, study, design, create, agent, refactory).
+Each test patches only the subprocess boundary (invoke_agent / shell) and
+lets the real executor, gates, and file I/O run.
+"""
+
+from __future__ import annotations
+
+import json
+import re
+import shutil
+import subprocess
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from factory.models import AgentRunResult, EvalProfile, ProjectState
+from factory.state import detect_state
+
+pytestmark = pytest.mark.smoke
+
+
+# ── Helpers ───────────────────────────────────────────────────────
+
+
+HELLO_CLI_FIXTURE = Path(__file__).parent / "fixtures" / "hello-cli"
+
+
+def _make_git_repo(path: Path) -> None:
+ """Initialize a minimal git repo at *path*."""
+ subprocess.run(["git", "init"], cwd=path, capture_output=True, check=True)
+ subprocess.run(
+ ["git", "commit", "--allow-empty", "-m", "initial"],
+ cwd=path,
+ capture_output=True,
+ check=True,
+ env={
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(path.parent),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ },
+ )
+
+
+def _copy_hello_cli(dest: Path) -> Path:
+ """Copy the hello-cli fixture into *dest* and init a git repo."""
+ project = dest / "hello-cli"
+ shutil.copytree(HELLO_CLI_FIXTURE, project, ignore=shutil.ignore_patterns("__pycache__"))
+ _make_git_repo(project)
+ return project
+
+
+def _stub_agent_result(stdout: str = "OK", return_code: int = 0) -> AgentRunResult:
+ return AgentRunResult(stdout=stdout, return_code=return_code)
+
+
+def _preseed_completed_files(executor: object, workflow: object) -> None:
+ """Pre-seed the executor's completed_files with files declared in reads
+ that no node produces via writes, so _wait_for_reads doesn't block."""
+ all_writes: set[str] = set()
+ all_reads: set[str] = set()
+ for node in workflow.nodes.values(): # type: ignore[union-attr]
+ all_writes |= node.writes or set()
+ all_reads |= node.reads or set()
+ orphan_reads = all_reads - all_writes
+ executor.completed_files |= orphan_reads # type: ignore[union-attr]
+
+
+def _make_mock_invoke_agent(project: Path, canned: dict[str, str]):
+ """Build a mock invoke_agent that writes artifact files based on task content."""
+
+ async def mock_invoke_agent(role, task, project_path, **kwargs) -> tuple[str, int]:
+ response = canned.get(role, f"OK from {role}")
+
+ strategy_dir = project_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ reviews_dir = project_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ archive_dir = project_path / ".factory" / "archive"
+ archive_dir.mkdir(parents=True, exist_ok=True)
+
+ write_targets = re.findall(
+ r"Write (?:findings|output) to (\S+)", task
+ )
+ for rel_path in write_targets:
+ rel_path = rel_path.rstrip(".")
+ full = project_path / rel_path
+ full.parent.mkdir(parents=True, exist_ok=True)
+ full.write_text(response)
+
+ if role == "strategist" and "current.md" not in " ".join(write_targets):
+ (strategy_dir / "current.md").write_text(response)
+ if role == "builder":
+ (reviews_dir / "builder-latest.md").write_text(response)
+ if role == "health_checker":
+ (reviews_dir / "health-check.md").write_text(response)
+ if role == "code_reviewer":
+ (reviews_dir / "code-review.md").write_text(response)
+ if role == "adversarial_tester":
+ (reviews_dir / "adversarial-qa.md").write_text(response)
+
+ return response, 0
+
+ return mock_invoke_agent
+
+
+# ── a) factory detect — all 5 ProjectState values ────────────────
+
+
+class TestDetect:
+ def test_no_repo(self, tmp_path: Path) -> None:
+ missing = tmp_path / "does-not-exist"
+ assert detect_state(missing) == ProjectState.NO_REPO
+
+ def test_no_repo_no_git(self, tmp_path: Path) -> None:
+ bare = tmp_path / "bare"
+ bare.mkdir()
+ assert detect_state(bare) == ProjectState.NO_REPO
+
+ def test_no_factory(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _make_git_repo(project)
+ with patch("factory.state._has_open_plan_issues", return_value=False):
+ assert detect_state(project) == ProjectState.NO_FACTORY
+
+ def test_repo_incomplete(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _make_git_repo(project)
+ with patch("factory.state._has_open_plan_issues", return_value=True):
+ assert detect_state(project) == ProjectState.REPO_INCOMPLETE
+
+ def test_evals_pending_review(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _make_git_repo(project)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+ profile_data = {
+ "project_type": "python",
+ "dimensions": [],
+ "tier": "fallback",
+ "confidence": 0.5,
+ "human_reviewed": False,
+ }
+ (factory_dir / "eval_profile.json").write_text(json.dumps(profile_data))
+ assert detect_state(project) == ProjectState.EVALS_PENDING_REVIEW
+
+ def test_has_factory(self, tmp_path: Path) -> None:
+ project = tmp_path / "proj"
+ project.mkdir()
+ _make_git_repo(project)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+ (factory_dir / "config.json").write_text("{}")
+ assert detect_state(project) == ProjectState.HAS_FACTORY
+
+
+# ── b) factory discover — eval profile generation ────────────────
+
+
+class TestDiscover:
+ def test_discover_hello_cli(self, tmp_path: Path) -> None:
+ """Run discovery on hello-cli fixture, verify eval_profile.json is valid."""
+ project = _copy_hello_cli(tmp_path)
+
+ from factory.discovery.introspect import introspect_project
+ from factory.discovery.profile import build_eval_profile
+
+ profile = introspect_project(project)
+ eval_profile = build_eval_profile(profile)
+
+ factory_dir = project / ".factory"
+ factory_dir.mkdir(parents=True, exist_ok=True)
+ ep_path = factory_dir / "eval_profile.json"
+ ep_path.write_text(eval_profile.model_dump_json(indent=2))
+
+ assert ep_path.exists()
+ loaded = EvalProfile.model_validate_json(ep_path.read_text())
+ assert loaded.project_type
+ assert loaded.tier in ("explicit", "discovered", "researched", "fallback")
+ assert 0.0 <= loaded.confidence <= 1.0
+
+
+# ── c) factory study — observations file ─────────────────────────
+
+
+class TestStudy:
+ def test_study_hello_cli(self, tmp_path: Path) -> None:
+ """Run study on hello-cli, verify observations.md written and non-empty."""
+ project = _copy_hello_cli(tmp_path)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir(parents=True, exist_ok=True)
+
+ from factory.study import study_project
+
+ summary = study_project(project)
+
+ obs_path = factory_dir / "strategy" / "observations.md"
+ obs_path.parent.mkdir(parents=True, exist_ok=True)
+ obs_path.write_text(summary)
+
+ assert obs_path.exists()
+ assert obs_path.stat().st_size > 0
+ assert len(summary) > 50
+
+
+# ── d) factory workflow run design — Tier 4 integration ──────────
+
+
+class TestDesignWorkflow:
+ async def test_design_workflow_with_mocked_agents(self, tmp_path: Path) -> None:
+ """Run design_workflow through the real WorkflowExecutor with patched agents."""
+ from factory.workflow.definitions import design_workflow
+ from factory.workflow.executor import WorkflowExecutor
+
+ project = tmp_path / "design-test"
+ project.mkdir()
+ _make_git_repo(project)
+ factory_dir = project / ".factory"
+ for sub in ("strategy", "reviews", "experiments", "archive"):
+ (factory_dir / sub).mkdir(parents=True)
+ (factory_dir / "config.json").write_text("{}")
+
+ wf = design_workflow()
+ assert wf.name == "design"
+ assert wf.start_node == "gate_has_factory"
+
+ canned = {
+ "researcher": "## Research findings\nResearch output for testing.",
+ "strategist": (
+ "## Strategy\n### Architecture\nTest arch.\n"
+ "### Phase 1: Scaffold\nBuild the scaffold.\n"
+ ),
+ "builder": "## Build output\ncommit abc123\nPR #1 opened.",
+ "health_checker": "## Health Check\nAll tests pass. Score: 0.85.",
+ "code_reviewer": "## Code Review\nAll 7 categories PASS.",
+ "adversarial_tester": "## Adversarial QA\nAll tests pass. VERDICT: PASS.",
+ "archivist": "## Archive\nArchived.",
+ "ceo": "PROCEED\n\nAll checks pass.",
+ }
+
+ async def mock_run_shell(cmd: str) -> str:
+ strategy_dir = project / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+
+ if "python3 -c" in cmd and "config.json" in cmd:
+ return "PROCEED"
+ if "factory graph update" in cmd:
+ (strategy_dir / "graph-context.md").write_text("## Graph\nStub.")
+ return "Graph updated."
+ if "factory study" in cmd:
+ obs = "## Observations\nProject analyzed."
+ (strategy_dir / "observations.md").write_text(obs)
+ return obs
+ if "factory discover" in cmd:
+ return "Discovered."
+ if "factory precheck" in cmd:
+ return "PROCEED"
+ if "factory workflow run spec-generate" in cmd:
+ return "Spec generated."
+ if "cat " in cmd and "study-combined.md" in cmd:
+ obs = strategy_dir / "observations.md"
+ graph = strategy_dir / "graph-context.md"
+ parts = []
+ if obs.exists():
+ parts.append(obs.read_text())
+ if graph.exists():
+ parts.append(graph.read_text())
+ combined = "\n".join(parts) or "combined study"
+ (strategy_dir / "study-combined.md").write_text(combined)
+ return combined
+ return "OK"
+
+ mock_invoke = _make_mock_invoke_agent(project, canned)
+
+ with patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke):
+ executor = WorkflowExecutor(wf, project, auto_approve=True)
+ _preseed_completed_files(executor, wf)
+ executor._run_shell = mock_run_shell # type: ignore[assignment]
+ result = await executor.execute()
+
+ assert result.success, f"Workflow failed: {result.halt_reason}"
+ assert result.nodes_executed >= 10
+
+ assert (project / ".factory" / "strategy" / "research-similar.md").exists()
+ assert (project / ".factory" / "strategy" / "research-techstack.md").exists()
+ assert (project / ".factory" / "strategy" / "research-pitfalls.md").exists()
+ assert (project / ".factory" / "strategy" / "current.md").exists()
+
+
+# ── e) factory workflow run create — Tier 4 integration ──────────
+
+
+class TestCreateWorkflow:
+ async def test_create_workflow_with_mocked_agents(self, tmp_path: Path) -> None:
+ """Run create_workflow through the real WorkflowExecutor with patched agents."""
+ from factory.workflow.definitions import create_workflow
+ from factory.workflow.executor import WorkflowExecutor
+
+ project = tmp_path / "create-test"
+ project.mkdir()
+ _make_git_repo(project)
+ factory_dir = project / ".factory"
+ for sub in ("strategy", "reviews", "experiments", "archive"):
+ (factory_dir / sub).mkdir(parents=True)
+ (factory_dir / "config.json").write_text("{}")
+
+ wf = create_workflow()
+ assert wf.name == "create"
+
+ canned = {
+ "researcher": "## Research\nExisting patterns analyzed.",
+ "strategist": (
+ "## Strategy\n### Architecture\nMode architecture.\n"
+ "### Phase 1: Define workflow\nDefine the new workflow.\n"
+ ),
+ "builder": "## Build\ncommit def456\nMode created.",
+ "health_checker": "## Health Check\nPASS. Score: 0.90.",
+ "code_reviewer": "## Code Review\nAll PASS.",
+ "adversarial_tester": "## Adversarial QA\nVERDICT: PASS.",
+ "archivist": "## Archive\nArchived.",
+ "ceo": "PROCEED\n\nAll checks pass.",
+ }
+
+ async def mock_run_shell(cmd: str) -> str:
+ if "factory precheck" in cmd:
+ return "PROCEED"
+ if "factory workflow run spec-generate" in cmd:
+ return "Spec generated."
+ return "OK"
+
+ mock_invoke = _make_mock_invoke_agent(project, canned)
+
+ with patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke):
+ executor = WorkflowExecutor(wf, project, auto_approve=True)
+ _preseed_completed_files(executor, wf)
+ executor._run_shell = mock_run_shell # type: ignore[assignment]
+ result = await executor.execute()
+
+ assert result.success, f"Workflow failed: {result.halt_reason}"
+ assert result.nodes_executed >= 8
+
+ assert (project / ".factory" / "strategy" / "research-existing.md").exists()
+ assert (project / ".factory" / "strategy" / "research-intent.md").exists()
+ assert (project / ".factory" / "strategy" / "research-practices.md").exists()
+ assert (project / ".factory" / "strategy" / "current.md").exists()
+
+
+# ── f) factory agent <role> — prompt resolution + review files ───
+
+
+class TestAgentInvocation:
+ """Test each kept agent role: prompt resolves, review file is written."""
+
+ KEPT_ROLES = [
+ "researcher",
+ "strategist",
+ "builder",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "archivist",
+ "ceo",
+ ]
+
+ @pytest.fixture
+ def agent_project(self, tmp_path: Path) -> Path:
+ project = tmp_path / "agent-test"
+ project.mkdir()
+ _make_git_repo(project)
+ factory_dir = project / ".factory"
+ for sub in ("reviews", "strategy", "archive"):
+ (factory_dir / sub).mkdir(parents=True)
+ return project
+
+ @pytest.mark.parametrize("role", KEPT_ROLES)
+ async def test_agent_prompt_resolution_and_review(
+ self, role: str, agent_project: Path
+ ) -> None:
+ """Verify prompt resolves and review file is written for each role."""
+ from factory.agents.runner import resolve_prompt
+
+ prompt = resolve_prompt(role, agent_project)
+ assert len(prompt) > 100, f"Prompt for {role} is suspiciously short"
+
+ mock_result = _stub_agent_result(stdout=f"Agent {role} completed successfully.")
+ mock_runner = MagicMock()
+ mock_runner.headless = AsyncMock(return_value=mock_result)
+
+ with patch("factory.agents.runner.get_runner", return_value=mock_runner):
+ from factory.agents.runner import invoke_agent
+
+ stdout, code = await invoke_agent(
+ role,
+ f"Test task for {role}",
+ agent_project,
+ timeout=10.0,
+ _track_failures=False,
+ )
+
+ assert code == 0
+ assert f"Agent {role} completed" in stdout
+
+ review_path = agent_project / ".factory" / "reviews" / f"{role}-latest.md"
+ assert review_path.exists(), f"Review file missing for {role}"
+ content = review_path.read_text()
+ assert f"Agent {role} completed" in content
+
+ async def test_agent_review_tag(self, agent_project: Path) -> None:
+ """Verify --review-tag writes to the tagged review file."""
+ mock_result = _stub_agent_result(stdout="Tagged output.")
+ mock_runner = MagicMock()
+ mock_runner.headless = AsyncMock(return_value=mock_result)
+
+ with patch("factory.agents.runner.get_runner", return_value=mock_runner):
+ from factory.agents.runner import invoke_agent
+
+ await invoke_agent(
+ "researcher",
+ "Tagged test",
+ agent_project,
+ review_tag="similar",
+ _track_failures=False,
+ )
+
+ tagged_path = (
+ agent_project / ".factory" / "reviews" / "researcher-similar-latest.md"
+ )
+ assert tagged_path.exists()
+ assert "Tagged output" in tagged_path.read_text()
+
+
+# ── g) factory refactory — workspace setup ───────────────────────
+
+
+class TestRefactory:
+ def test_refactory_setup(self, tmp_path: Path) -> None:
+ """Verify setup_workspace creates the expected directory structure."""
+ from factory.refactory import setup_workspace
+
+ project = tmp_path / "refactory-test"
+ project.mkdir()
+
+ workspace = setup_workspace(project)
+
+ assert workspace == project / ".refactory"
+ assert workspace.is_dir()
+
+ claude_dir = project / ".claude"
+ assert claude_dir.is_dir()
+
+ settings_path = claude_dir / "settings.local.json"
+ assert settings_path.exists()
+ settings = json.loads(settings_path.read_text())
+ assert "hooks" in settings or "permissions" in settings
+
+ claude_md = workspace / "CLAUDE.md"
+ assert claude_md.exists()
+ assert claude_md.stat().st_size > 0
+
+ def test_refactory_session_id(self, tmp_path: Path) -> None:
+ """Verify get_session_id creates and persists a session ID."""
+ from factory.refactory import get_session_id, setup_workspace
+
+ project = tmp_path / "session-test"
+ project.mkdir()
+ setup_workspace(project)
+
+ sid1 = get_session_id(project)
+ assert sid1
+ assert isinstance(sid1, str)
+
+ sid2 = get_session_id(project)
+ assert sid1 == sid2
+
+ sid3 = get_session_id(project, reset=True)
+ assert sid3 != sid1
+
+
+# ── h) Deletion safety tests ──────────────────────────────────
+
+
+DELETED_SYMBOLS = [
+ "BobRunner",
+ "CodexRunner",
+ "OpenCodeRunner",
+ "is_dry_run",
+ "is_codex_dry_run",
+ "is_opencode_dry_run",
+ "FACTORY_BOB_DRY_RUN",
+ "FACTORY_CODEX_DRY_RUN",
+ "FACTORY_OPENCODE_DRY_RUN",
+ "generate_codex_agent_toml",
+ "check_codex_agents_in_sync",
+]
+
+
+class TestPackageImports:
+ """Verify the full package import chain works."""
+
+ def test_import_factory(self) -> None:
+ import factory # noqa: F401
+
+ def test_build_parser_loads_all_subparsers(self) -> None:
+ from factory.cli._main import build_parser
+
+ parser = build_parser()
+ assert parser is not None
+ assert parser._subparsers is not None
+
+
+CLI_COMMANDS = [
+ "ceo",
+ "run",
+ "agent",
+ "detect",
+ "discover",
+ "init",
+ "study",
+ "precheck",
+ "graph",
+ "spec",
+ "workflow",
+ "outer-loop",
+ "config",
+ "refactory",
+ "install",
+ "tmux",
+ "serve-mcp",
+ "guard",
+ "contained",
+ "eval",
+ "log",
+ "emit",
+]
+
+
+class TestCommandHelp:
+ """Run 'factory <cmd> --help' for every surviving CLI command."""
+
+ @pytest.mark.parametrize("cmd", CLI_COMMANDS)
+ def test_command_help(self, cmd: str) -> None:
+ result = subprocess.run(
+ ["factory", cmd, "--help"],
+ capture_output=True,
+ text=True,
+ timeout=10,
+ )
+ assert result.returncode == 0, (
+ f"'factory {cmd} --help' exited {result.returncode}: {result.stderr}"
+ )
+
+
+class TestRegistryInstantiation:
+ """Instantiate every registered workflow mode and verify it has nodes."""
+
+ def test_all_registered_modes_instantiate(self) -> None:
+ from factory.workflow.registry import WorkflowRegistry
+
+ WorkflowRegistry.reset()
+ entries = WorkflowRegistry.discover()
+ assert len(entries) > 0, "No workflows discovered"
+
+ for name, entry in entries.items():
+ if entry._workflow_fn is None:
+ continue
+ wf = entry._workflow_fn()
+ assert wf is not None, f"Mode '{name}' returned None"
+ assert len(wf.nodes) > 0, f"Mode '{name}' has no nodes"
+
+
+AGENT_ROLES_WITH_PROMPTS = [
+ "researcher",
+ "strategist",
+ "builder",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "archivist",
+ "ceo",
+ "refactory",
+]
+
+
+class TestPromptResolution:
+ """Verify resolve_prompt returns a non-empty string for every kept role."""
+
+ @pytest.mark.parametrize("role", AGENT_ROLES_WITH_PROMPTS)
+ def test_prompt_resolves(self, role: str) -> None:
+ from factory.agents.runner import resolve_prompt
+
+ prompt = resolve_prompt(role)
+ assert isinstance(prompt, str)
+ assert len(prompt) > 100, (
+ f"Prompt for '{role}' is suspiciously short ({len(prompt)} chars)"
+ )
+
+
+class TestSuiteCollects:
+ """Verify 'pytest --collect-only' succeeds (no broken conftest fixtures)."""
+
+ def test_collect_only(self) -> None:
+ repo_root = Path(__file__).resolve().parent.parent
+ result = subprocess.run(
+ ["pytest", "--collect-only", "-q", "--ignore=tests/test_mcp_server.py"],
+ capture_output=True,
+ text=True,
+ timeout=60,
+ cwd=repo_root,
+ )
+ assert result.returncode == 0, (
+ f"pytest --collect-only failed (rc={result.returncode}): "
+ f"stdout={result.stdout[-300:]}, stderr={result.stderr[-300:]}"
+ )
+
+
+class TestNoDanglingReferences:
+ """Verify deleted symbols have no remaining references in production code.
+
+ Symbols in DELETED_SYMBOLS are scheduled for removal. Tests are xfail
+ until the code is actually deleted — they become safety nets that pass
+ once the symbol is gone, and would fail loudly if re-introduced.
+ """
+
+ @pytest.mark.parametrize("symbol", DELETED_SYMBOLS)
+ @pytest.mark.xfail(reason="symbols scheduled for deletion, not yet removed", strict=False)
+ def test_no_reference(self, symbol: str) -> None:
+ result = subprocess.run(
+ ["grep", "-rn", symbol, "factory/", "--include=*.py"],
+ capture_output=True,
+ text=True,
+ timeout=10,
+ )
+ assert result.stdout == "", (
+ f"Deleted symbol '{symbol}' still referenced in production code:\n{result.stdout}"
+ )
diff --git a/tests/test_spec_apply_diff.py b/tests/test_spec_apply_diff.py
new file mode 100644
index 000000000..3bd203343
--- /dev/null
+++ b/tests/test_spec_apply_diff.py
@@ -0,0 +1,261 @@
+"""Tests for factory.spec.apply_diff — SPEC Diff application from strategy."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+
+from factory.spec.apply_diff import (
+ apply_spec_diff,
+ extract_spec_diff,
+)
+
+
+# ── extract_spec_diff ──────────────────────────────────────────
+
+
+class TestExtractSpecDiff:
+ def test_no_spec_diff_section(self) -> None:
+ text = "## Strategy\n\nSome strategy content.\n\n## Hypotheses\n\nH1 stuff."
+ assert extract_spec_diff(text) is None
+
+ def test_empty_spec_diff(self) -> None:
+ text = "## SPEC Diff\n\n## Hypotheses\n\nH1 stuff."
+ diff = extract_spec_diff(text)
+ assert diff is not None
+ assert diff.added == []
+ assert diff.modified == []
+ assert diff.removed == []
+
+ def test_added_modules(self) -> None:
+ text = (
+ "## SPEC Diff\n\n"
+ "### ADDED Modules\n\n"
+ "#### module `auth`\n"
+ "- **Path:** `factory/auth.py`\n"
+ "- **Role:** Authentication module\n"
+ "- **Depends on:** `store`\n\n"
+ "#### module `cache`\n"
+ "- **Path:** `factory/cache.py`\n"
+ "- **Role:** Caching layer\n"
+ "- **Depends on:** `store`\n\n"
+ "## Hypotheses\n\nH1 stuff."
+ )
+ diff = extract_spec_diff(text)
+ assert diff is not None
+ assert len(diff.added) == 2
+ assert diff.added[0].name == "auth"
+ assert "factory/auth.py" in diff.added[0].body
+ assert diff.added[1].name == "cache"
+
+ def test_modified_modules(self) -> None:
+ text = (
+ "## SPEC Diff\n\n"
+ "### MODIFIED Modules\n\n"
+ "#### module `store`\n"
+ "- **Previously:** Handles experiment data\n"
+ "- **Now:** Handles experiment data and caching\n"
+ "- **Rationale:** Added cache support\n\n"
+ "## Hypotheses\n"
+ )
+ diff = extract_spec_diff(text)
+ assert diff is not None
+ assert len(diff.modified) == 1
+ assert diff.modified[0].name == "store"
+ assert "caching" in diff.modified[0].body
+
+ def test_removed_modules(self) -> None:
+ text = (
+ "## SPEC Diff\n\n"
+ "### REMOVED Modules\n\n"
+ "#### module `legacy`\n"
+ "- **Previously:** Old compatibility layer\n"
+ "- **Rationale:** No longer needed\n\n"
+ "## Hypotheses\n"
+ )
+ diff = extract_spec_diff(text)
+ assert diff is not None
+ assert len(diff.removed) == 1
+ assert diff.removed[0].name == "legacy"
+
+ def test_all_categories(self) -> None:
+ text = (
+ "## SPEC Diff\n\n"
+ "### ADDED Modules\n\n"
+ "#### module `new_mod`\n"
+ "- **Path:** `factory/new_mod.py`\n"
+ "- **Role:** New module\n\n"
+ "### MODIFIED Modules\n\n"
+ "#### module `existing`\n"
+ "- **Previously:** Old behavior\n"
+ "- **Now:** New behavior\n"
+ "- **Rationale:** Improvement\n\n"
+ "### REMOVED Modules\n\n"
+ "#### module `old_mod`\n"
+ "- **Previously:** Legacy module\n"
+ "- **Rationale:** Deprecated\n\n"
+ "## Hypotheses\n"
+ )
+ diff = extract_spec_diff(text)
+ assert diff is not None
+ assert len(diff.added) == 1
+ assert len(diff.modified) == 1
+ assert len(diff.removed) == 1
+
+
+# ── apply_spec_diff ────────────────────────────────────────────
+
+
+class TestApplySpecDiff:
+ def test_no_strategy_file(self, tmp_path: Path) -> None:
+ result = apply_spec_diff(tmp_path)
+ assert result is False
+
+ def test_no_spec_diff_section_returns_false(self, tmp_path: Path) -> None:
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## Strategy\n\nSome content.\n\n## Hypotheses\n\nH1."
+ )
+ result = apply_spec_diff(tmp_path)
+ assert result is False
+
+ def test_added_modules_appended(self, tmp_path: Path) -> None:
+ spec_path = tmp_path / "SPEC.md"
+ spec_path.write_text("# SPEC\n\n### module `existing`\n\nExisting content.\n")
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## SPEC Diff\n\n"
+ "### ADDED Modules\n\n"
+ "#### module `auth`\n"
+ "- **Path:** `factory/auth.py`\n"
+ "- **Role:** Auth module\n\n"
+ "## Hypotheses\n"
+ )
+
+ result = apply_spec_diff(tmp_path)
+ assert result is True
+
+ spec_text = spec_path.read_text()
+ assert "### module `auth`" in spec_text
+ assert "factory/auth.py" in spec_text
+ assert "### module `existing`" in spec_text
+
+ def test_modified_modules_replaced(self, tmp_path: Path) -> None:
+ spec_path = tmp_path / "SPEC.md"
+ spec_path.write_text(
+ "# SPEC\n\n"
+ "### module `store`\n\nOld store content.\n\n"
+ "### module `cli`\n\nCLI content.\n"
+ )
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## SPEC Diff\n\n"
+ "### MODIFIED Modules\n\n"
+ "#### module `store`\n"
+ "- **Previously:** Old store content\n"
+ "- **Now:** New store with caching\n"
+ "- **Rationale:** Performance\n\n"
+ "## Hypotheses\n"
+ )
+
+ result = apply_spec_diff(tmp_path)
+ assert result is True
+
+ spec_text = spec_path.read_text()
+ assert "New store with caching" in spec_text
+ assert "\nOld store content.\n" not in spec_text
+ assert "### module `cli`" in spec_text
+
+ def test_removed_modules_deleted(self, tmp_path: Path) -> None:
+ spec_path = tmp_path / "SPEC.md"
+ spec_path.write_text(
+ "# SPEC\n\n### module `legacy`\n\nLegacy stuff.\n\n### module `cli`\n\nCLI content.\n"
+ )
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## SPEC Diff\n\n"
+ "### REMOVED Modules\n\n"
+ "#### module `legacy`\n"
+ "- **Previously:** Legacy stuff\n"
+ "- **Rationale:** Deprecated\n\n"
+ "## Hypotheses\n"
+ )
+
+ result = apply_spec_diff(tmp_path)
+ assert result is True
+
+ spec_text = spec_path.read_text()
+ assert "### module `legacy`" not in spec_text
+ assert "### module `cli`" in spec_text
+
+ def test_missing_spec_creates_new_file(self, tmp_path: Path) -> None:
+ spec_path = tmp_path / "SPEC.md"
+ assert not spec_path.exists()
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## SPEC Diff\n\n"
+ "### ADDED Modules\n\n"
+ "#### module `new_mod`\n"
+ "- **Path:** `factory/new_mod.py`\n"
+ "- **Role:** Brand new module\n\n"
+ "## Hypotheses\n"
+ )
+
+ result = apply_spec_diff(tmp_path)
+ assert result is True
+ assert spec_path.exists()
+
+ spec_text = spec_path.read_text()
+ assert "### module `new_mod`" in spec_text
+ assert "Brand new module" in spec_text
+
+ def test_custom_strategy_path(self, tmp_path: Path) -> None:
+ custom_strategy = tmp_path / "my_strategy.md"
+ custom_strategy.write_text(
+ "## SPEC Diff\n\n"
+ "### ADDED Modules\n\n"
+ "#### module `custom`\n"
+ "- **Path:** `custom.py`\n"
+ "- **Role:** Custom module\n\n"
+ "## End\n"
+ )
+
+ result = apply_spec_diff(tmp_path, strategy_path=custom_strategy)
+ assert result is True
+
+ spec_text = (tmp_path / "SPEC.md").read_text()
+ assert "### module `custom`" in spec_text
+
+ def test_modify_missing_module_appends(self, tmp_path: Path) -> None:
+ spec_path = tmp_path / "SPEC.md"
+ spec_path.write_text("# SPEC\n\n### module `cli`\n\nCLI content.\n")
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ (strategy_dir / "current.md").write_text(
+ "## SPEC Diff\n\n"
+ "### MODIFIED Modules\n\n"
+ "#### module `nonexistent`\n"
+ "- **Previously:** N/A\n"
+ "- **Now:** New behavior\n"
+ "- **Rationale:** Module was missing from spec\n\n"
+ "## Hypotheses\n"
+ )
+
+ result = apply_spec_diff(tmp_path)
+ assert result is True
+
+ spec_text = spec_path.read_text()
+ assert "### module `nonexistent`" in spec_text
+ assert "New behavior" in spec_text
+
+
diff --git a/tests/test_spec_generate.py b/tests/test_spec_generate.py
new file mode 100644
index 000000000..4bcc122c9
--- /dev/null
+++ b/tests/test_spec_generate.py
@@ -0,0 +1,228 @@
+"""Tests for factory.spec — graph summary and spec generation."""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import AsyncMock, patch
+
+import pytest
+
+from factory.spec.generate import generate_spec
+from factory.workflow.definitions import register_all, spec_generate_workflow
+from factory.workflow.primitives import AgentNode, AgentRole, FnNode, GateNode
+
+
+# ── W₉ Spec Generate workflow ───────────────────────────────────
+
+
+class TestSpecGenerateWorkflow:
+ def test_validates(self) -> None:
+ wf = spec_generate_workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"spec-generate workflow has issues: {issues}"
+
+ def test_name(self) -> None:
+ wf = spec_generate_workflow()
+ assert wf.name == "spec-generate"
+
+ def test_start_node(self) -> None:
+ wf = spec_generate_workflow()
+ assert wf.start_node == "extract"
+
+ def test_no_trigger(self) -> None:
+ wf = spec_generate_workflow()
+ assert wf.trigger is None
+
+ def test_has_required_nodes(self) -> None:
+ wf = spec_generate_workflow()
+ expected = {
+ "extract",
+ "gate_extract",
+ "annotate",
+ "gate_annotate",
+ "validate",
+ "gate_validate",
+ }
+ assert expected == set(wf.nodes.keys())
+
+ def test_extract_is_fn(self) -> None:
+ wf = spec_generate_workflow()
+ extract = wf.nodes["extract"]
+ assert isinstance(extract, FnNode)
+ assert "factory graph extract" in extract.command
+
+ def test_annotate_is_researcher(self) -> None:
+ wf = spec_generate_workflow()
+ annotate = wf.nodes["annotate"]
+ assert isinstance(annotate, AgentNode)
+ assert annotate.role == AgentRole.RESEARCHER
+
+ def test_gates_are_ceo(self) -> None:
+ wf = spec_generate_workflow()
+ for gate_id in ("gate_extract", "gate_annotate", "gate_validate"):
+ gate = wf.nodes[gate_id]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "agent"
+ assert gate.evaluator_role == AgentRole.CEO
+
+ def test_validate_is_fn(self) -> None:
+ wf = spec_generate_workflow()
+ node = wf.nodes["validate"]
+ assert isinstance(node, FnNode)
+ assert "factory spec validate" in node.command
+
+ def test_extract_writes_graph(self) -> None:
+ wf = spec_generate_workflow()
+ extract = wf.nodes["extract"]
+ assert "graph.json" in extract.writes
+
+ def test_annotate_writes_repo_spec(self) -> None:
+ wf = spec_generate_workflow()
+ annotate = wf.nodes["annotate"]
+ assert "SPEC.md" in annotate.writes
+
+
+# ── Registry includes W₉ ────────────────────────────────────────
+
+
+class TestRegistryIncludesSpec:
+ def test_register_all_includes_spec_generate(self) -> None:
+ all_wf = register_all()
+ assert "spec-generate" in all_wf
+
+ def test_register_all_count(self) -> None:
+ all_wf = register_all()
+ assert len(all_wf) == 14
+
+ def test_all_workflows_validate(self) -> None:
+ all_wf = register_all()
+ for name, wf in all_wf.items():
+ issues = wf.validate_graph()
+ assert issues == [], f"{name} has validation issues: {issues}"
+
+
+# ── generate_spec (graph path) ──────────────────────────────────
+
+
+class TestGenerateSpecGraph:
+ async def test_graph_path_success(self, tmp_path: Path) -> None:
+ (tmp_path / "main.py").write_text("print('hello')")
+ repo_spec = tmp_path / "SPEC.md"
+
+ async def mock_invoke(role, task, project, **kwargs):
+ repo_spec.write_text("# Repo spec from graph")
+ return ("ok", 0)
+
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke),
+ ):
+ result = await generate_spec(tmp_path)
+
+ assert result == repo_spec
+ assert repo_spec.exists()
+
+ async def test_prompt_references_graph_json(self, tmp_path: Path) -> None:
+ (tmp_path / "main.py").write_text("x = 1")
+ repo_spec = tmp_path / "SPEC.md"
+ captured_tasks: list[str] = []
+
+ async def mock_invoke(role, task, project, **kwargs):
+ captured_tasks.append(task)
+ repo_spec.write_text("# SPEC")
+ return ("ok", 0)
+
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke),
+ ):
+ await generate_spec(tmp_path)
+
+ assert len(captured_tasks) == 1
+ assert "graph.json" in captured_tasks[0]
+ assert "graphify-out" not in captured_tasks[0]
+
+ async def test_single_agent_invocation(self, tmp_path: Path) -> None:
+ (tmp_path / "main.py").write_text("x = 1")
+ repo_spec = tmp_path / "SPEC.md"
+ invoke_calls: list[dict] = []
+
+ async def mock_invoke(role, task, project, **kwargs):
+ invoke_calls.append({"role": role, "model": kwargs.get("model")})
+ repo_spec.write_text("# SPEC")
+ return ("ok", 0)
+
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke),
+ ):
+ await generate_spec(tmp_path)
+
+ assert len(invoke_calls) == 1
+ assert invoke_calls[0]["model"] is None
+
+ async def test_graph_annotation_failure_raises(self, tmp_path: Path) -> None:
+ (tmp_path / "main.py").write_text("x = 1")
+
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("error", 1)),
+ ),
+ ):
+ with pytest.raises(RuntimeError, match="Spec annotation failed"):
+ await generate_spec(tmp_path)
+
+ async def test_graph_missing_spec_raises(self, tmp_path: Path) -> None:
+ (tmp_path / "main.py").write_text("x = 1")
+
+ async def mock_invoke(role, task, project, **kwargs):
+ return ("ok", 0)
+
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch("factory.agents.runner.invoke_agent", side_effect=mock_invoke),
+ ):
+ with pytest.raises(FileNotFoundError, match="SPEC"):
+ await generate_spec(tmp_path)
+
+
+# ── generate_spec (graphify pipeline errors) ─────────────────────
+
+
+class TestGenerateSpecErrors:
+ async def test_graphify_not_installed_raises(self, tmp_path: Path) -> None:
+ with patch("factory.graph.is_graphify_installed", return_value=False):
+ with pytest.raises(RuntimeError, match="graphify is required"):
+ await generate_spec(tmp_path)
+
+ async def test_extract_graph_failure_raises(self, tmp_path: Path) -> None:
+ with (
+ patch("factory.graph.is_graphify_installed", return_value=True),
+ patch("factory.graph.extract_graph", return_value=None),
+ ):
+ with pytest.raises(RuntimeError, match="graphify extraction failed"):
+ await generate_spec(tmp_path)
+
+ async def test_annotation_failure_raises(self, tmp_path: Path) -> None:
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("error", 1)),
+ ),
+ ):
+ with pytest.raises(RuntimeError, match="Spec annotation failed"):
+ await generate_spec(tmp_path)
+
+ async def test_missing_spec_after_annotation_raises(self, tmp_path: Path) -> None:
+ with (
+ patch("factory.graph.extract_graph", return_value=tmp_path / "graph.json"),
+ patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("ok", 0)),
+ ),
+ ):
+ with pytest.raises(FileNotFoundError, match="SPEC"):
+ await generate_spec(tmp_path)
diff --git a/tests/test_spec_ops.py b/tests/test_spec_ops.py
new file mode 100644
index 000000000..e0265f651
--- /dev/null
+++ b/tests/test_spec_ops.py
@@ -0,0 +1,532 @@
+"""Tests for factory.spec.ops — validate, scope, update, impact operations."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from factory.spec.ops import (
+ _parse_verdict,
+ validate_spec,
+)
+
+
+# ── Fixtures ────────────────────────────────────────────────────
+
+BASIC_SPEC = """\
+# Repo Spec
+
+## Modules
+
+### models
+- **Path:** myapp/models.py
+- **Role:** Data models
+- **Exports:** User, Config
+- **Depends on:** none
+
+### store
+- **Path:** myapp/store.py
+- **Role:** Data persistence
+- **Exports:** Store
+- **Depends on:** models
+"""
+
+FIXTURE_SPEC = """\
+# Repo Spec
+
+## Modules
+
+### CLI
+**Path:** `factory/cli.py`
+**Role:** CLI entry point
+
+### Spec
+**Path:** `factory/spec/`
+**Role:** Spec generation and validation
+
+### Models
+**Path:** `factory/models.py`
+**Role:** Domain models
+"""
+
+FIXTURE_DIFF = """\
+diff --git a/factory/spec/update.py b/factory/spec/update.py
+new file mode 100644
+index 0000000..abc1234
+--- /dev/null
++++ b/factory/spec/update.py
+@@ -0,0 +1,5 @@
++def scope_diff():
++ pass
+diff --git a/factory/cli.py b/factory/cli.py
+index abc..def 100644
+--- a/factory/cli.py
++++ b/factory/cli.py
+@@ -1,3 +1,5 @@
+ import os
++import sys
+diff --git a/factory/old_module.py b/factory/old_module.py
+deleted file mode 100644
+--- a/factory/old_module.py
++++ /dev/null
+@@ -1 +0,0 @@
+-x = 1
+"""
+
+PASS_REPORT = """\
+# Spec Validation Report
+
+## Errors
+None
+
+## Warnings
+- Orphan module: 'utils' has zero consumers
+
+Verdict: PASS
+"""
+
+FAIL_REPORT = """\
+# Spec Validation Report
+
+## Errors
+- Module 'cli': path 'factory/cli.py' does not exist
+
+## Warnings
+- Orphan module: 'utils' has zero consumers
+
+Verdict: FAIL
+"""
+
+SCOPE_REPORT = """\
+## Affected Modules
+- CLI
+- Spec
+
+## New Files
+- factory/spec/update.py
+
+## Deleted Files
+- factory/old_module.py
+"""
+
+
+def _write_spec(project: Path, spec_content: str) -> Path:
+ spec_path = project / "SPEC.md"
+ spec_path.write_text(spec_content)
+ return spec_path
+
+
+def _setup_fixture_project(tmp_path: Path) -> Path:
+ project = tmp_path / "myproject"
+ project.mkdir()
+ (project / "SPEC.md").write_text(FIXTURE_SPEC)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+ exp_dir = factory_dir / "experiments" / "1"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "changes.diff").write_text(FIXTURE_DIFF)
+ return project
+
+
+# ── _parse_verdict ──────────────────────────────────────────────
+
+
+class TestParseVerdict:
+ def test_pass(self) -> None:
+ assert _parse_verdict("some text\nVerdict: PASS\n") is True
+
+ def test_fail(self) -> None:
+ assert _parse_verdict("some text\nVerdict: FAIL\n") is False
+
+ def test_missing_defaults_true(self) -> None:
+ assert _parse_verdict("no verdict here") is True
+
+ def test_verdict_mid_text(self) -> None:
+ assert _parse_verdict("intro\nVerdict: FAIL\nmore text") is False
+
+
+# ── validate_spec integration ───────────────────────────────────
+
+
+class TestValidateSpec:
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(PASS_REPORT, 0)),
+ )
+ async def test_pass_writes_report(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ _write_spec(tmp_path, BASIC_SPEC)
+ _report, is_valid = await validate_spec(tmp_path)
+ assert is_valid
+ report_path = tmp_path / ".factory" / "spec_validation.md"
+ assert report_path.is_file()
+ assert "Verdict: PASS" in report_path.read_text()
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(FAIL_REPORT, 0)),
+ )
+ async def test_fail_verdict(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ _write_spec(tmp_path, BASIC_SPEC)
+ _report, is_valid = await validate_spec(tmp_path)
+ assert not is_valid
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("error occurred", 1)),
+ )
+ async def test_agent_failure_returns_valid(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ _write_spec(tmp_path, BASIC_SPEC)
+ _report, is_valid = await validate_spec(tmp_path)
+ assert is_valid
+
+ async def test_missing_spec_raises(self, tmp_path: Path) -> None:
+ with pytest.raises(FileNotFoundError):
+ await validate_spec(tmp_path)
+
+
+# ── _get_diff_text ──────────────────────────────────────────────
+
+
+class TestGetDiffText:
+ def test_reads_experiment_diff_file(self, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ exp_dir = tmp_path / ".factory" / "experiments" / "1"
+ exp_dir.mkdir(parents=True)
+ (exp_dir / "changes.diff").write_text("diff content")
+
+ result = _get_diff_text(tmp_path, experiment_id=1, spec_rel="SPEC.md")
+ assert result == "diff content"
+
+ def test_missing_experiment_diff_raises(self, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ with pytest.raises(FileNotFoundError, match="No diff found"):
+ _get_diff_text(tmp_path, experiment_id=99, spec_rel="SPEC.md")
+
+ @patch("factory.spec.ops.subprocess.run")
+ def test_git_diff_from_spec_commit(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ mock_run.side_effect = [
+ MagicMock(returncode=0, stdout="abc123\n"),
+ MagicMock(returncode=0, stdout=""),
+ MagicMock(returncode=0, stdout="diff --git a/x.py b/x.py\n"),
+ ]
+
+ result = _get_diff_text(tmp_path, experiment_id=None, spec_rel="SPEC.md")
+ assert "diff --git" in result
+
+ @patch("factory.spec.ops.subprocess.run")
+ def test_git_diff_fallback_to_head_minus_1(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ mock_run.side_effect = [
+ MagicMock(returncode=1, stdout=""),
+ MagicMock(returncode=0, stdout=""),
+ MagicMock(returncode=0, stdout="fallback diff\n"),
+ ]
+
+ result = _get_diff_text(tmp_path, experiment_id=None, spec_rel="SPEC.md")
+ assert result == "fallback diff\n"
+
+ @patch("factory.spec.ops.subprocess.run")
+ def test_initial_commit_uses_root_flag(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ mock_run.side_effect = [
+ MagicMock(returncode=1, stdout=""),
+ MagicMock(returncode=128, stderr="fatal: bad revision"),
+ MagicMock(returncode=0, stdout="root diff\n"),
+ ]
+
+ result = _get_diff_text(tmp_path, experiment_id=None, spec_rel="SPEC.md")
+ assert result == "root diff\n"
+ root_call = mock_run.call_args_list[2]
+ assert "--root" in root_call[0][0]
+
+ @patch("factory.spec.ops.subprocess.run")
+ def test_root_diff_failure_raises(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ mock_run.side_effect = [
+ MagicMock(returncode=1, stdout=""),
+ MagicMock(returncode=128, stderr="fatal: bad revision"),
+ MagicMock(returncode=1, stderr="fatal: unable to read tree"),
+ ]
+
+ with pytest.raises(RuntimeError, match="git diff failed"):
+ _get_diff_text(tmp_path, experiment_id=None, spec_rel="SPEC.md")
+
+ @patch("factory.spec.ops.subprocess.run")
+ def test_git_diff_failure_raises(self, mock_run: MagicMock, tmp_path: Path) -> None:
+ from factory.spec.ops import _get_diff_text
+
+ mock_run.side_effect = [
+ MagicMock(returncode=0, stdout="abc\n"),
+ MagicMock(returncode=0, stdout=""),
+ MagicMock(returncode=128, stderr="fatal: bad revision"),
+ ]
+
+ with pytest.raises(RuntimeError, match="git diff failed"):
+ _get_diff_text(tmp_path, experiment_id=None, spec_rel="SPEC.md")
+
+
+# ── scope_diff / update_spec ─────────────────────────────────────
+
+
+class TestScopeDiff:
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(SCOPE_REPORT, 0)),
+ )
+ async def test_writes_scope_file(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.spec.ops import scope_diff
+
+ project = _setup_fixture_project(tmp_path)
+ result = await scope_diff(project, experiment_id=1)
+
+ assert "Affected Modules" in result
+ scope_path = project / ".factory" / "spec_update_scope.md"
+ assert scope_path.is_file()
+
+
+class TestUpdateSpec:
+ @patch(
+ "factory.spec.ops.scope_diff",
+ new_callable=lambda: AsyncMock(return_value=SCOPE_REPORT),
+ )
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("patched", 0)),
+ )
+ async def test_patches_spec(
+ self, mock_agent: AsyncMock, mock_scope: AsyncMock, tmp_path: Path
+ ) -> None:
+ from factory.spec.ops import update_spec
+
+ project = _setup_fixture_project(tmp_path)
+ result = await update_spec(project)
+ assert result == project / "SPEC.md"
+
+
+class TestScopeDiffErrors:
+ async def test_missing_spec_raises(self, tmp_path: Path) -> None:
+ from factory.spec.ops import scope_diff
+
+ project = tmp_path / "empty_project"
+ project.mkdir()
+
+ with pytest.raises(FileNotFoundError):
+ await scope_diff(project, experiment_id=1)
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("error", 1)),
+ )
+ async def test_agent_failure_raises(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.spec.ops import scope_diff
+
+ project = _setup_fixture_project(tmp_path)
+
+ with pytest.raises(RuntimeError, match="Scope diff agent failed"):
+ await scope_diff(project, experiment_id=1)
+
+
+class TestUpdateSpecErrors:
+ async def test_no_spec_raises(self, tmp_path: Path) -> None:
+ from factory.spec.ops import update_spec
+
+ with pytest.raises(FileNotFoundError, match="No repo spec"):
+ await update_spec(tmp_path)
+
+
+# ── get_impact ───────────────────────────────────────────────────
+
+
+class TestGetImpact:
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("## Impact: models\nhub module", 0)),
+ )
+ async def test_returns_impact_snippet(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.spec.ops import get_impact
+
+ (tmp_path / "SPEC.md").write_text(BASIC_SPEC)
+ result = await get_impact("models", tmp_path)
+ assert "Impact: models" in result
+
+
+class TestGetImpactErrors:
+ async def test_missing_spec_raises(self, tmp_path: Path) -> None:
+ from factory.spec.ops import get_impact
+
+ with pytest.raises(FileNotFoundError):
+ await get_impact("models", tmp_path)
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("error", 1)),
+ )
+ async def test_agent_failure_raises(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.spec.ops import get_impact
+
+ (tmp_path / "SPEC.md").write_text(BASIC_SPEC)
+
+ with pytest.raises(RuntimeError, match="Impact analysis agent failed"):
+ await get_impact("models", tmp_path)
+
+
+# ── _run_spec_workflow ──────────────────────────────────────────
+
+
+class TestRunSpecWorkflow:
+ @patch("factory.workflow.executor.WorkflowExecutor")
+ def test_generate_success(self, mock_cls: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import _run_spec_workflow
+
+ mock_result = MagicMock(success=True)
+ mock_cls.return_value.execute = AsyncMock(return_value=mock_result)
+ rc, reason = _run_spec_workflow("spec-generate", tmp_path)
+ assert rc == 0
+ assert reason == ""
+
+ def test_update_returns_error(self, tmp_path: Path) -> None:
+ from factory.cli.spec import _run_spec_workflow
+
+ rc, reason = _run_spec_workflow("spec-update", tmp_path)
+ assert rc == 1
+
+ @patch("factory.workflow.executor.WorkflowExecutor")
+ def test_failure_returns_1_with_reason(self, mock_cls: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import _run_spec_workflow
+
+ mock_result = MagicMock(success=False, halt_reason="gate rejected")
+ mock_cls.return_value.execute = AsyncMock(return_value=mock_result)
+ rc, reason = _run_spec_workflow("spec-generate", tmp_path)
+ assert rc == 1
+ assert reason == "gate rejected"
+
+ @patch("factory.workflow.executor.WorkflowExecutor")
+ def test_failure_without_reason(self, mock_cls: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import _run_spec_workflow
+
+ mock_result = MagicMock(success=False, halt_reason=None)
+ mock_cls.return_value.execute = AsyncMock(return_value=mock_result)
+ rc, reason = _run_spec_workflow("spec-generate", tmp_path)
+ assert rc == 1
+ assert reason == "unknown error"
+
+
+# ── CLI spec subcommands ────────────────────────────────────────
+
+
+class TestCmdSpecGenerate:
+ def test_not_a_directory(self) -> None:
+ from factory.cli.spec import cmd_spec_generate
+
+ args = argparse.Namespace(path="/nonexistent/path")
+ assert cmd_spec_generate(args) == 1
+
+ @patch("factory.cli.spec._run_spec_workflow", return_value=(0, ""))
+ def test_success(self, mock_wf: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_generate
+
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_generate(args) == 0
+ mock_wf.assert_called_once_with("spec-generate", tmp_path.resolve())
+
+ @patch("factory.cli.spec._run_spec_workflow", return_value=(1, "gate rejected"))
+ def test_error(self, mock_wf: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_generate
+
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_generate(args) == 1
+
+
+class TestCmdSpecValidate:
+ def test_no_spec(self, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_validate
+
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_validate(args) == 1
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(PASS_REPORT, 0)),
+ )
+ def test_pass(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_validate
+
+ _write_spec(tmp_path, BASIC_SPEC)
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_validate(args) == 0
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(FAIL_REPORT, 0)),
+ )
+ def test_fail(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_validate
+
+ _write_spec(tmp_path, BASIC_SPEC)
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_validate(args) == 1
+
+
+class TestCmdSpecScope:
+ def test_no_spec(self, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_scope
+
+ args = argparse.Namespace(path=str(tmp_path), experiment=None)
+ assert cmd_spec_scope(args) == 1
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=(SCOPE_REPORT, 0)),
+ )
+ def test_success(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_scope
+
+ project = _setup_fixture_project(tmp_path)
+ args = argparse.Namespace(path=str(project), experiment=1)
+ assert cmd_spec_scope(args) == 0
+
+
+class TestCmdSpecUpdate:
+ def test_no_spec(self, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_update
+
+ args = argparse.Namespace(path=str(tmp_path))
+ assert cmd_spec_update(args) == 1
+
+ @patch("factory.cli.spec._run_spec_workflow", return_value=(0, ""))
+ def test_success(self, mock_wf: MagicMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_update
+
+ project = _setup_fixture_project(tmp_path)
+ args = argparse.Namespace(path=str(project))
+ assert cmd_spec_update(args) == 0
+ mock_wf.assert_called_once_with("spec-update", project.resolve())
+
+
+class TestCmdSpecImpact:
+ def test_no_spec(self, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_impact
+
+ args = argparse.Namespace(project=str(tmp_path), module="models")
+ assert cmd_spec_impact(args) == 1
+
+ @patch(
+ "factory.agents.runner.invoke_agent",
+ new_callable=lambda: AsyncMock(return_value=("## Impact: models\nhub", 0)),
+ )
+ def test_success(self, mock_agent: AsyncMock, tmp_path: Path) -> None:
+ from factory.cli.spec import cmd_spec_impact
+
+ (tmp_path / "SPEC.md").write_text(BASIC_SPEC)
+ args = argparse.Namespace(project=str(tmp_path), module="models")
+ assert cmd_spec_impact(args) == 0
diff --git a/tests/test_splitter.py b/tests/test_splitter.py
new file mode 100644
index 000000000..56166672f
--- /dev/null
+++ b/tests/test_splitter.py
@@ -0,0 +1,177 @@
+"""Tests for factory/workflow/splitter.py — template resolver + annotation extractor."""
+
+import yaml
+
+from factory.workflow.splitter import (
+ annotations_to_yaml,
+ extract_annotations,
+ resolve_to_clean,
+ split_skill,
+)
+
+
+SAMPLE_TEMPLATIZED = """\
+## Phase 5: Health Check
+
+<!-- node: AgentNode id=health_checker role=HEALTH_CHECKER blocking=true -->
+<!-- reads: .factory/reviews/builder-latest.md -->
+<!-- writes: .factory/reviews/health-check.md -->
+<!-- edges: unconditional → gate_health_checker -->
+
+```bash
+factory agent health_checker --task "{{task_prompt_health_checker::Run health check.}}" --project "$PROJECT_PATH" --timeout {{timeout_health_checker::600}}
+```
+
+<!-- gate: GateNode id=gate_health_checker evaluator_type=agent evaluator_role=CEO -->
+<!-- reads: .factory/reviews/health-check.md -->
+<!-- edges: PROCEED → gate_precheck, RELOOP → builder -->
+
+### CEO Review — QA
+
+Apply the CEO Review Gate protocol:
+1. Read the agent output for the preceding step
+2. Read artifacts: `.factory/reviews/health-check.md`
+3. Assess: {{gate_prompt_gate_health_checker::Review QA results.}}
+4. Write verdict to `.factory/reviews/ceo-verdict-qa.md`
+
+*On RELOOP: return to `builder` (max {{max_iterations_gate_health_checker::3}} iterations)*
+
+<!-- gate: GateNode id=gate_precheck evaluator_type=fn -->
+<!-- evaluator_command: factory precheck {project_path} -->
+<!-- reads: .factory/reviews/health-check.md -->
+<!-- edges: PROCEED → finalize -->
+
+### Gate — Precheck (Automated)
+
+```bash
+factory precheck $PROJECT_PATH
+```
+
+{{failure_action_gate_precheck::}}
+"""
+
+
+class TestResolveToClean:
+ def test_strips_annotations(self) -> None:
+ result = resolve_to_clean(SAMPLE_TEMPLATIZED)
+ assert "<!--" not in result
+ assert "-->" not in result
+
+ def test_resolves_slots(self) -> None:
+ result = resolve_to_clean(SAMPLE_TEMPLATIZED)
+ assert "{{" not in result
+ assert "}}" not in result
+ assert "Run health check." in result
+ assert "--timeout 600" in result
+
+ def test_preserves_prose(self) -> None:
+ result = resolve_to_clean(SAMPLE_TEMPLATIZED)
+ assert "## Phase 5: Health Check" in result
+ assert "CEO Review — QA" in result
+ assert "Gate — Precheck (Automated)" in result
+
+ def test_no_triple_newlines(self) -> None:
+ result = resolve_to_clean(SAMPLE_TEMPLATIZED)
+ assert "\n\n\n" not in result
+
+
+class TestExtractAnnotations:
+ def test_extracts_agent_node(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ assert "health_checker" in annotations
+ assert annotations["health_checker"]["type"] == "AgentNode"
+ assert annotations["health_checker"]["role"] == "HEALTH_CHECKER"
+
+ def test_extracts_gate_node(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ assert "gate_health_checker" in annotations
+ assert annotations["gate_health_checker"]["type"] == "GateNode"
+ assert annotations["gate_health_checker"]["evaluator_type"] == "agent"
+
+ def test_extracts_fn_gate(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ assert "gate_precheck" in annotations
+ assert annotations["gate_precheck"]["evaluator_type"] == "fn"
+
+ def test_extracts_reads_writes(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ assert ".factory/reviews/builder-latest.md" in annotations["health_checker"]["reads"]
+ assert ".factory/reviews/health-check.md" in annotations["health_checker"]["writes"]
+
+ def test_extracts_edges(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ hc_edges = annotations["health_checker"]["edges_out"]
+ assert len(hc_edges) == 1
+ assert hc_edges[0]["target"] == "gate_health_checker"
+ assert hc_edges[0]["condition"] is None
+
+ def test_extracts_conditional_edges(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ gate_edges = annotations["gate_health_checker"]["edges_out"]
+ targets = {e["target"] for e in gate_edges}
+ assert "gate_precheck" in targets
+ assert "builder" in targets
+
+ def test_extracts_evaluator_command(self) -> None:
+ annotations = extract_annotations(SAMPLE_TEMPLATIZED)
+ assert "evaluator_command" in annotations["gate_precheck"]
+
+
+class TestSplitSkill:
+ def test_returns_clean_and_annotations(self) -> None:
+ clean, annotations = split_skill(SAMPLE_TEMPLATIZED)
+ assert isinstance(clean, str)
+ assert isinstance(annotations, dict)
+
+ def test_clean_has_no_markers(self) -> None:
+ clean, _ = split_skill(SAMPLE_TEMPLATIZED)
+ assert "{{" not in clean
+ assert "<!--" not in clean
+
+ def test_annotations_have_slots(self) -> None:
+ _, annotations = split_skill(SAMPLE_TEMPLATIZED)
+ assert "slots" in annotations["health_checker"]
+ assert "task_prompt_health_checker" in annotations["health_checker"]["slots"]
+ assert "timeout_health_checker" in annotations["health_checker"]["slots"]
+
+ def test_gate_annotations_have_slots(self) -> None:
+ _, annotations = split_skill(SAMPLE_TEMPLATIZED)
+ assert "slots" in annotations["gate_health_checker"]
+ assert "gate_prompt_gate_health_checker" in annotations["gate_health_checker"]["slots"]
+
+
+class TestAnnotationsToYaml:
+ def test_produces_valid_yaml(self) -> None:
+ _, annotations = split_skill(SAMPLE_TEMPLATIZED)
+ yaml_str = annotations_to_yaml(annotations)
+ parsed = yaml.safe_load(yaml_str)
+ assert isinstance(parsed, dict)
+ assert "health_checker" in parsed
+
+ def test_roundtrip(self) -> None:
+ _, annotations = split_skill(SAMPLE_TEMPLATIZED)
+ yaml_str = annotations_to_yaml(annotations)
+ parsed = yaml.safe_load(yaml_str)
+ assert parsed["health_checker"]["type"] == "AgentNode"
+ assert parsed["health_checker"]["role"] == "HEALTH_CHECKER"
+
+
+class TestRoundTrip:
+ def test_templatize_then_split_preserves_content(self) -> None:
+ """Verify that templatizing then splitting produces clean output
+ with the same prose content (minus markers and annotations)."""
+ import re as _re
+
+ from factory.workflow.definitions import build_workflow
+ from factory.workflow.skill_export import workflow_to_skill_md
+
+ wf = build_workflow()
+ templatized = workflow_to_skill_md(wf)
+ clean, annotations = split_skill(templatized)
+
+ assert not _re.search(r"\{\{[a-z_]\w*::", clean), "unresolved template slots in clean output"
+ assert "<!--" not in clean
+ assert "factory agent builder" in clean
+ assert "factory agent health_checker" in clean
+
+ assert "builder" in annotations or "health_checker" in annotations
diff --git a/tests/test_state.py b/tests/test_state.py
index 29fdc7b94..5600f6cb4 100644
--- a/tests/test_state.py
+++ b/tests/test_state.py
@@ -89,6 +89,33 @@ def test_eval_profile_missing_human_reviewed_key(self, tmp_project):
assert detect_state(tmp_project) == ProjectState.EVALS_PENDING_REVIEW
+class TestFactoryDirWithoutConfig:
+ def test_warns_when_factory_dir_exists_without_config(self, tmp_project):
+ """detect_state warns when .factory/ exists but config.json is missing."""
+ (tmp_project / ".factory").mkdir()
+ with (
+ patch("factory.state.subprocess.run", return_value=type("R", (), {"returncode": 0, "stdout": "[]"})()),
+ patch("factory.state.log") as mock_log,
+ ):
+ state = detect_state(tmp_project)
+ assert state == ProjectState.NO_FACTORY
+ mock_log.warning.assert_called_once_with(
+ "factory_dir_without_config",
+ factory_dir=str(tmp_project / ".factory"),
+ hint="Run 'factory init' to generate config.json from factory.md",
+ )
+
+ def test_no_warning_without_factory_dir(self, tmp_project):
+ """detect_state does not warn when .factory/ doesn't exist."""
+ with (
+ patch("factory.state.subprocess.run", return_value=type("R", (), {"returncode": 0, "stdout": "[]"})()),
+ patch("factory.state.log") as mock_log,
+ ):
+ state = detect_state(tmp_project)
+ assert state == ProjectState.NO_FACTORY
+ mock_log.warning.assert_not_called()
+
+
class TestHasOpenPlanIssues:
def test_returns_false_when_gh_not_found(self, tmp_project):
"""_has_open_plan_issues returns False when gh CLI is not available."""
diff --git a/tests/test_store.py b/tests/test_store.py
index b60046a2f..484a9bd91 100644
--- a/tests/test_store.py
+++ b/tests/test_store.py
@@ -6,7 +6,6 @@
import pytest
from factory.models import (
- CompositeScore,
EvalDimension,
EvalProfile,
ExperimentRecord,
@@ -60,25 +59,22 @@ async def test_begin_creates_hypothesis_file(self, store, sample_config):
assert path.exists()
assert path.read_text() == "My hypothesis"
- async def test_save_eval(self, store, sample_config):
- await store.init(sample_config)
- exp_id = await store.begin("H1")
- score = CompositeScore(
- total=0.85, results=[], guard_violations=[], passed=True,
- )
- await store.save_eval(exp_id, "before", score)
- path = store.factory_dir / "experiments" / f"{exp_id:03d}" / "eval_before.json"
- assert path.exists()
-
async def test_finalize_writes_verdict(self, store, sample_config):
await store.init(sample_config)
exp_id = await store.begin("H1")
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
- hypothesis="H1", change_summary="Added stuff",
- issue_number=None, pr_number=None,
- score_before=0.8, score_after=0.9, delta=0.1,
- verdict="keep", cost_usd=None, notes="",
+ id=exp_id,
+ timestamp=datetime.now(),
+ hypothesis="H1",
+ change_summary="Added stuff",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.8,
+ score_after=0.9,
+ delta=0.1,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
await store.finalize(exp_id, record)
path = store.factory_dir / "experiments" / f"{exp_id:03d}" / "verdict.json"
@@ -88,11 +84,18 @@ async def test_finalize_appends_tsv(self, store, sample_config):
await store.init(sample_config)
exp_id = await store.begin("H1")
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
- hypothesis="H1", change_summary="stuff",
- issue_number=None, pr_number=None,
- score_before=0.8, score_after=0.9, delta=0.1,
- verdict="keep", cost_usd=None, notes="",
+ id=exp_id,
+ timestamp=datetime.now(),
+ hypothesis="H1",
+ change_summary="stuff",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.8,
+ score_after=0.9,
+ delta=0.1,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
await store.finalize(exp_id, record)
records = await store.load_history()
@@ -103,11 +106,18 @@ async def test_finalize_persists_scores_and_delta(self, store, sample_config):
await store.init(sample_config)
exp_id = await store.begin("H1")
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
- hypothesis="H1", change_summary="stuff",
- issue_number=None, pr_number=None,
- score_before=0.80, score_after=0.85, delta=None,
- verdict="keep", cost_usd=None, notes="",
+ id=exp_id,
+ timestamp=datetime.now(),
+ hypothesis="H1",
+ change_summary="stuff",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.80,
+ score_after=0.85,
+ delta=None,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
await store.finalize(exp_id, record)
records = await store.load_history()
@@ -149,8 +159,12 @@ async def test_save_and_read_profile(self, store, sample_config):
project_type="bot",
dimensions=[
EvalDimension(
- name="tests", command="pytest", weight=1.0,
- parser="exit_code", description="tests", source="discovered",
+ name="tests",
+ command="pytest",
+ weight=1.0,
+ parser="exit_code",
+ description="tests",
+ source="discovered",
),
],
tier="discovered",
@@ -177,15 +191,23 @@ async def test_finalize_missing_experiment_dir(self, store, sample_config):
# Simulate git clean wiping the experiment dir
exp_dir = store.factory_dir / "experiments" / f"{exp_id:03d}"
import shutil
+
shutil.rmtree(exp_dir)
assert not exp_dir.exists()
record = ExperimentRecord(
- id=exp_id, timestamp=datetime.now(),
- hypothesis="H1", change_summary="stuff",
- issue_number=None, pr_number=None,
- score_before=0.8, score_after=0.9, delta=0.1,
- verdict="keep", cost_usd=None, notes="",
+ id=exp_id,
+ timestamp=datetime.now(),
+ hypothesis="H1",
+ change_summary="stuff",
+ issue_number=None,
+ pr_number=None,
+ score_before=0.8,
+ score_after=0.9,
+ delta=0.1,
+ verdict="keep",
+ cost_usd=None,
+ notes="",
)
# Should NOT raise FileNotFoundError
await store.finalize(exp_id, record)
@@ -226,12 +248,18 @@ async def test_finalize_then_load_history_roundtrip(self, store, sample_config):
await store.init(sample_config)
exp_id = await store.begin("Increase coverage")
record = ExperimentRecord(
- id=exp_id, timestamp=datetime(2025, 1, 15, 12, 0, 0),
+ id=exp_id,
+ timestamp=datetime(2025, 1, 15, 12, 0, 0),
hypothesis="Increase coverage",
change_summary="Added tests for edge cases",
- issue_number=42, pr_number=99,
- score_before=0.75, score_after=0.92, delta=0.17,
- verdict="keep", cost_usd=1.23, notes="All green",
+ issue_number=42,
+ pr_number=99,
+ score_before=0.75,
+ score_after=0.92,
+ delta=0.17,
+ verdict="keep",
+ cost_usd=1.23,
+ notes="All green",
)
await store.finalize(exp_id, record)
history = await store.load_history()
@@ -251,13 +279,6 @@ async def test_finalize_then_load_history_roundtrip(self, store, sample_config):
class TestStrategy:
- async def test_write_and_read_strategy(self, store, sample_config):
- await store.init(sample_config)
- await store.write_strategy("## Strategy\nFocus on tests.")
- content = await store.read_strategy()
- assert content is not None
- assert "Focus on tests" in content
-
async def test_read_missing_strategy(self, store, sample_config):
await store.init(sample_config)
assert await store.read_strategy() is None
@@ -513,9 +534,12 @@ async def test_invalid_dim_name_ignored(self, store):
async def test_tier_weights_roundtrip_config_json(self, store, sample_config):
"""TierWeights should survive write → read via config.json."""
from factory.models import TierWeights
- config = sample_config.model_copy(update={
- "hygiene_weights": TierWeights(tests=0.40, lint=0.20),
- })
+
+ config = sample_config.model_copy(
+ update={
+ "hygiene_weights": TierWeights(tests=0.40, lint=0.20),
+ }
+ )
await store.init(config)
loaded = await store.read_config()
assert loaded.hygiene_weights is not None
diff --git a/tests/test_strategy.py b/tests/test_strategy.py
index d8efe44ec..4071a0a57 100644
--- a/tests/test_strategy.py
+++ b/tests/test_strategy.py
@@ -8,9 +8,7 @@
_format_tier3,
_record_to_dict,
categorize_hypothesis,
- detect_stuck,
format_tiered_history,
- rank_hypotheses,
)
@@ -101,137 +99,16 @@ def test_history_param_accepted(self):
assert result == FEECCategory.FIX
-# ── rank_hypotheses ──────────────────────────────────────────────────
-
-
-class TestRankHypotheses:
- def test_sorts_by_feec_priority(self):
- hypotheses = [
- {"description": "Add a new endpoint"},
- {"description": "Fix the crash"},
- {"description": "Combine auth modules"},
- {"description": "Improve test coverage"},
- ]
- ranked = rank_hypotheses(hypotheses)
- categories = [h["category"] for h in ranked]
- assert categories == ["FIX", "EXPLOIT", "EXPLORE", "COMBINE"]
-
- def test_stable_sort_within_category(self):
- hypotheses = [
- {"description": "Fix the crash in login"},
- {"description": "Fix the error in signup"},
- ]
- ranked = rank_hypotheses(hypotheses)
- assert ranked[0]["description"] == "Fix the crash in login"
- assert ranked[1]["description"] == "Fix the error in signup"
-
- def test_empty_list(self):
- assert rank_hypotheses([]) == []
-
- def test_single_hypothesis(self):
- ranked = rank_hypotheses([{"description": "Add feature"}])
- assert len(ranked) == 1
- assert ranked[0]["category"] == "EXPLORE"
-
- def test_injects_category_key(self):
- ranked = rank_hypotheses([{"description": "Fix a bug"}])
- assert "category" in ranked[0]
- assert ranked[0]["category"] == "FIX"
-
- def test_all_same_category(self):
- hypotheses = [
- {"description": "Fix error A"},
- {"description": "Fix bug B"},
- {"description": "Fix crash C"},
- ]
- ranked = rank_hypotheses(hypotheses)
- assert all(h["category"] == "FIX" for h in ranked)
- # Order preserved
- assert ranked[0]["description"] == "Fix error A"
- assert ranked[2]["description"] == "Fix crash C"
-
-
-# ── detect_stuck ─────────────────────────────────────────────────────
-
-
-class TestDetectStuck:
- def test_stuck_three_consecutive_same_category(self):
- history = [
- {"hypothesis": "Fix error 1", "verdict": "revert"},
- {"hypothesis": "Fix crash 2", "verdict": "revert"},
- {"hypothesis": "Fix bug 3", "verdict": "revert"},
- ]
- assert detect_stuck(history) is True
-
- def test_not_stuck_different_categories(self):
- history = [
- {"hypothesis": "Fix error 1", "verdict": "revert"},
- {"hypothesis": "Improve coverage", "verdict": "revert"},
- {"hypothesis": "Fix crash 3", "verdict": "revert"},
- ]
- assert detect_stuck(history) is False
-
- def test_not_stuck_below_threshold(self):
- history = [
- {"hypothesis": "Fix error 1", "verdict": "revert"},
- {"hypothesis": "Fix crash 2", "verdict": "revert"},
- ]
- assert detect_stuck(history) is False
-
- def test_not_stuck_keep_breaks_streak(self):
- history = [
- {"hypothesis": "Fix error 1", "verdict": "revert"},
- {"hypothesis": "Fix crash 2", "verdict": "keep"},
- {"hypothesis": "Fix bug 3", "verdict": "revert"},
- ]
- assert detect_stuck(history) is False
-
- def test_empty_history(self):
- assert detect_stuck([]) is False
-
- def test_custom_threshold(self):
- history = [
- {"hypothesis": "Fix a", "verdict": "revert"},
- {"hypothesis": "Fix b", "verdict": "revert"},
- ]
- assert detect_stuck(history, threshold=2) is True
-
- def test_stuck_only_considers_tail(self):
- """Only the most recent consecutive reverts matter."""
- history = [
- {"hypothesis": "Add endpoint", "verdict": "keep"},
- {"hypothesis": "Fix error 1", "verdict": "revert"},
- {"hypothesis": "Fix crash 2", "verdict": "revert"},
- {"hypothesis": "Fix bug 3", "verdict": "revert"},
- ]
- assert detect_stuck(history) is True
-
- def test_not_stuck_when_mixed_verdicts_in_tail(self):
- history = [
- {"hypothesis": "Fix a", "verdict": "revert"},
- {"hypothesis": "Add feature", "verdict": "keep"},
- {"hypothesis": "Fix b", "verdict": "revert"},
- {"hypothesis": "Fix c", "verdict": "revert"},
- ]
- # Only last 2 are consecutive reverts
- assert detect_stuck(history) is False
-
- def test_missing_hypothesis_key(self):
- """Entries without hypothesis key default to EXPLORE."""
- history = [
- {"verdict": "revert"},
- {"verdict": "revert"},
- {"verdict": "revert"},
- ]
- # All default to EXPLORE -> stuck
- assert detect_stuck(history) is True
-
-
# ── _format_tier1 ───────────────────────────────────────────────
-def _make_record(exp_id: int, verdict: str = "keep", delta: float | None = 0.05,
- hypothesis: str = "Add feature", change_summary: str = "Changed foo.py") -> dict:
+def _make_record(
+ exp_id: int,
+ verdict: str = "keep",
+ delta: float | None = 0.05,
+ hypothesis: str = "Add feature",
+ change_summary: str = "Changed foo.py",
+) -> dict:
return {
"id": exp_id,
"verdict": verdict,
@@ -297,8 +174,7 @@ def test_long_hypothesis_truncated(self):
class TestFormatTier3:
def test_aggregate_stats(self):
records = [
- _make_record(i, "keep" if i % 2 == 0 else "revert", 0.01 * i)
- for i in range(1, 6)
+ _make_record(i, "keep" if i % 2 == 0 else "revert", 0.01 * i) for i in range(1, 6)
]
out = _format_tier3(records)
assert "5 older experiments" in out
@@ -381,8 +257,7 @@ def test_ten_records_tier1_and_tier2(self):
def test_fifteen_records_all_three_tiers(self):
records = [
- _make_record(i, "keep" if i % 2 == 0 else "revert", 0.01 * i)
- for i in range(1, 16)
+ _make_record(i, "keep" if i % 2 == 0 else "revert", 0.01 * i) for i in range(1, 16)
]
out = format_tiered_history(records)
assert "Tier 1" in out
@@ -412,6 +287,7 @@ def test_total_count_in_header(self):
def test_accepts_object_records(self):
"""Records can be objects with attrs instead of dicts."""
+
class FakeRecord:
def __init__(self, exp_id: int):
self.id = exp_id
diff --git a/tests/test_study.py b/tests/test_study.py
index 4be840d4b..2fd19aa4e 100644
--- a/tests/test_study.py
+++ b/tests/test_study.py
@@ -109,10 +109,12 @@ def test_extracts_user_messages(self, tmp_path):
def test_extracts_error_mentions(self, tmp_path):
log_file = tmp_path / "test.jsonl"
lines = [
- json.dumps({
- "type": "assistant",
- "message": {"content": "I found an error in the config.\nThe import failed."},
- }),
+ json.dumps(
+ {
+ "type": "assistant",
+ "message": {"content": "I found an error in the config.\nThe import failed."},
+ }
+ ),
]
log_file.write_text("\n".join(lines))
@@ -125,15 +127,17 @@ def test_extracts_error_mentions(self, tmp_path):
def test_handles_content_blocks(self, tmp_path):
log_file = tmp_path / "test.jsonl"
lines = [
- json.dumps({
- "type": "user",
- "message": {
- "content": [
- {"type": "text", "text": "Hello "},
- {"type": "text", "text": "world"},
- ],
- },
- }),
+ json.dumps(
+ {
+ "type": "user",
+ "message": {
+ "content": [
+ {"type": "text", "text": "Hello "},
+ {"type": "text", "text": "world"},
+ ],
+ },
+ }
+ ),
]
log_file.write_text("\n".join(lines))
@@ -161,14 +165,18 @@ def test_skips_long_messages(self, tmp_path):
def test_skips_system_prompts(self, tmp_path):
log_file = tmp_path / "test.jsonl"
lines = [
- json.dumps({
- "type": "user",
- "message": {"content": "Base directory: /foo/bar"},
- }),
- json.dumps({
- "type": "user",
- "message": {"content": "<task-notification>something</task-notification>"},
- }),
+ json.dumps(
+ {
+ "type": "user",
+ "message": {"content": "Base directory: /foo/bar"},
+ }
+ ),
+ json.dumps(
+ {
+ "type": "user",
+ "message": {"content": "<task-notification>something</task-notification>"},
+ }
+ ),
]
log_file.write_text("\n".join(lines))
@@ -207,10 +215,12 @@ def test_produces_summary(self, tmp_path, monkeypatch):
lines = [
json.dumps({"type": "user", "message": {"content": "Add tests"}}),
- json.dumps({
- "type": "assistant",
- "message": {"content": "The build failed due to a missing import."},
- }),
+ json.dumps(
+ {
+ "type": "assistant",
+ "message": {"content": "The build failed due to a missing import."},
+ }
+ ),
]
(log_dir / "conv.jsonl").write_text("\n".join(lines))
@@ -414,8 +424,7 @@ def test_from_pyproject(self, tmp_path):
project = tmp_path / "myapp"
project.mkdir()
(project / "pyproject.toml").write_text(
- '[project]\nname = "data-pipeline"\n'
- 'description = "Stream processing toolkit"\n'
+ '[project]\nname = "data-pipeline"\ndescription = "Stream processing toolkit"\n'
)
keywords = _extract_keywords(project)
assert "data" in keywords
@@ -431,9 +440,7 @@ def test_fallback_to_dirname(self, tmp_path):
def test_filters_stop_words(self, tmp_path):
project = tmp_path / "myapp"
project.mkdir()
- (project / "README.md").write_text(
- "# The Project\nThis is a tool for the web.\n"
- )
+ (project / "README.md").write_text("# The Project\nThis is a tool for the web.\n")
keywords = _extract_keywords(project)
assert "the" not in keywords
assert "this" not in keywords
@@ -442,9 +449,7 @@ def test_filters_stop_words(self, tmp_path):
def test_returns_max_five(self, tmp_path):
project = tmp_path / "myapp"
project.mkdir()
- (project / "README.md").write_text(
- "# Alpha Beta Gamma Delta Epsilon Zeta Eta Theta\n"
- )
+ (project / "README.md").write_text("# Alpha Beta Gamma Delta Epsilon Zeta Eta Theta\n")
keywords = _extract_keywords(project)
assert len(keywords) <= 5
@@ -462,20 +467,22 @@ def test_success(self, tmp_path):
project.mkdir()
(project / "README.md").write_text("# Task Runner\nRun tasks efficiently.\n")
- gh_output = json.dumps([
- {
- "fullName": "org/task-runner",
- "url": "https://github.com/org/task-runner",
- "description": "A fast task runner",
- "stargazersCount": 100,
- },
- {
- "fullName": "user/runner2",
- "url": "https://github.com/user/runner2",
- "description": None,
- "stargazersCount": 50,
- },
- ])
+ gh_output = json.dumps(
+ [
+ {
+ "fullName": "org/task-runner",
+ "url": "https://github.com/org/task-runner",
+ "description": "A fast task runner",
+ "stargazersCount": 100,
+ },
+ {
+ "fullName": "user/runner2",
+ "url": "https://github.com/user/runner2",
+ "description": None,
+ "stargazersCount": 50,
+ },
+ ]
+ )
mock_result = subprocess.CompletedProcess(
args=[], returncode=0, stdout=gh_output, stderr=""
)
@@ -494,9 +501,7 @@ def test_gh_not_found(self, tmp_path):
project.mkdir()
(project / "README.md").write_text("# Some Project\n")
- with patch(
- "factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")
- ):
+ with patch("factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")):
results = _search_similar_projects(project)
assert results == []
@@ -561,37 +566,35 @@ def test_returns_none_on_failure(self):
assert _get_github_user() is None
def test_returns_none_on_missing_gh(self):
- with patch(
- "factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")
- ):
+ with patch("factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")):
assert _get_github_user() is None
def test_returns_none_on_empty_output(self):
- mock_result = subprocess.CompletedProcess(
- args=[], returncode=0, stdout="", stderr=""
- )
+ mock_result = subprocess.CompletedProcess(args=[], returncode=0, stdout="", stderr="")
with patch("factory.study.subprocess.run", return_value=mock_result):
assert _get_github_user() is None
class TestFetchOpenIssues:
def test_success(self, tmp_path):
- gh_output = json.dumps([
- {
- "number": 42,
- "title": "Fix login bug",
- "labels": [{"name": "bug"}, {"name": "priority"}],
- "body": "Login fails when password contains special chars.",
- "author": {"login": "owner"},
- },
- {
- "number": 7,
- "title": "Add dark mode",
- "labels": [],
- "body": None,
- "author": {"login": "contributor"},
- },
- ])
+ gh_output = json.dumps(
+ [
+ {
+ "number": 42,
+ "title": "Fix login bug",
+ "labels": [{"name": "bug"}, {"name": "priority"}],
+ "body": "Login fails when password contains special chars.",
+ "author": {"login": "owner"},
+ },
+ {
+ "number": 7,
+ "title": "Add dark mode",
+ "labels": [],
+ "body": None,
+ "author": {"login": "contributor"},
+ },
+ ]
+ )
mock_result = subprocess.CompletedProcess(
args=[], returncode=0, stdout=gh_output, stderr=""
)
@@ -608,9 +611,7 @@ def test_success(self, tmp_path):
assert issues[1]["author"] == "contributor"
def test_gh_not_found(self, tmp_path):
- with patch(
- "factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")
- ):
+ with patch("factory.study.subprocess.run", side_effect=FileNotFoundError("gh not found")):
assert _fetch_open_issues(tmp_path) == []
def test_gh_timeout(self, tmp_path):
@@ -636,11 +637,17 @@ def test_invalid_json(self, tmp_path):
def test_body_truncated_to_300(self, tmp_path):
long_body = "x" * 500
- gh_output = json.dumps([{
- "number": 1, "title": "Long issue",
- "labels": [], "body": long_body,
- "author": {"login": "someone"},
- }])
+ gh_output = json.dumps(
+ [
+ {
+ "number": 1,
+ "title": "Long issue",
+ "labels": [],
+ "body": long_body,
+ "author": {"login": "someone"},
+ }
+ ]
+ )
mock_result = subprocess.CompletedProcess(
args=[], returncode=0, stdout=gh_output, stderr=""
)
@@ -948,18 +955,11 @@ def test_extracts_from_backlog_heading(self):
assert _extract_backlog_bullets(content) == ["Rate limiting"]
def test_stops_at_next_heading(self):
- content = (
- "## Deferred\n- Item one\n- Item two\n"
- "## Next Section\n- Not deferred\n"
- )
+ content = "## Deferred\n- Item one\n- Item two\n## Next Section\n- Not deferred\n"
assert _extract_backlog_bullets(content) == ["Item one", "Item two"]
def test_handles_multiple_deferred_sections(self):
- content = (
- "## Deferred\n- First\n"
- "## Other\n- Skip\n"
- "### Backlog\n- Second\n"
- )
+ content = "## Deferred\n- First\n## Other\n- Skip\n### Backlog\n- Second\n"
assert _extract_backlog_bullets(content) == ["First", "Second"]
def test_skips_empty_bullets(self):
@@ -980,9 +980,7 @@ def test_case_insensitive_heading(self):
def test_preserves_bold_in_items(self):
content = "## Deferred\n- **Docker-Wyze-Bridge** camera integration\n"
- assert _extract_backlog_bullets(content) == [
- "**Docker-Wyze-Bridge** camera integration"
- ]
+ assert _extract_backlog_bullets(content) == ["**Docker-Wyze-Bridge** camera integration"]
def test_ignores_non_bullet_lines(self):
content = "## Deferred\nSome paragraph text.\n- Actual item\n\nMore text.\n"
@@ -995,14 +993,13 @@ def test_bold_text_heading(self):
"- Docker-Wyze-Bridge\n- RSS feed\n- Deployment\n\n"
)
assert _extract_backlog_bullets(content) == [
- "Docker-Wyze-Bridge", "RSS feed", "Deployment",
+ "Docker-Wyze-Bridge",
+ "RSS feed",
+ "Deployment",
]
def test_bold_heading_stops_at_next_bold_heading(self):
- content = (
- "**Deferred:**\n- Item one\n- Item two\n"
- "**Other section:**\n- Not deferred\n"
- )
+ content = "**Deferred:**\n- Item one\n- Item two\n**Other section:**\n- Not deferred\n"
assert _extract_backlog_bullets(content) == ["Item one", "Item two"]
def test_bold_heading_stops_at_markdown_heading(self):
@@ -1056,9 +1053,7 @@ def test_merges_all_sources_without_duplicates(self, tmp_path):
strategy_dir = tmp_path / ".factory" / "strategy"
strategy_dir.mkdir(parents=True)
(strategy_dir / "backlog.md").write_text("- Camera feed\n- OAuth login\n")
- (strategy_dir / "current.md").write_text(
- "## Deferred\n- Camera feed\n- Genre expansion\n"
- )
+ (strategy_dir / "current.md").write_text("## Deferred\n- Camera feed\n- Genre expansion\n")
result = _parse_backlog_items(tmp_path)
assert result == ["Camera feed", "OAuth login", "Genre expansion"]
@@ -1142,9 +1137,7 @@ def test_backlog_count_in_budget(self, tmp_path, monkeypatch):
project_path.mkdir()
strategy_dir = project_path / ".factory" / "strategy"
strategy_dir.mkdir(parents=True)
- (strategy_dir / "current.md").write_text(
- "## Deferred\n- Item 1\n- Item 2\n- Item 3\n"
- )
+ (strategy_dir / "current.md").write_text("## Deferred\n- Item 1\n- Item 2\n- Item 3\n")
with patch("factory.study._search_similar_projects", return_value=[]):
result = study_project_local(project_path)
assert "**Backlog items: 3**" in result
@@ -1376,7 +1369,7 @@ def test_focus_filters_backlog_to_target_only(self, tmp_path, monkeypatch):
assert "TARGETED MODE" in result
assert "Add caching" in result
# Other backlog items should NOT appear in the backlog section
- backlog_section = result[result.index("## Backlog"):]
+ backlog_section = result[result.index("## Backlog") :]
budget_start = backlog_section.index("## Hypothesis Budget")
backlog_only = backlog_section[:budget_start]
assert "Fix login bug" not in backlog_only
@@ -1395,9 +1388,7 @@ def test_focus_overrides_budget_to_single_item(self, tmp_path, monkeypatch):
assert "**New items: at most 0**" in result
assert "**Growth minimum: 0**" in result
- def test_focus_without_backlog_match_still_shows_target(
- self, tmp_path, monkeypatch
- ):
+ def test_focus_without_backlog_match_still_shows_target(self, tmp_path, monkeypatch):
monkeypatch.setattr(Path, "home", lambda: tmp_path)
project_path = tmp_path / "myapp"
project_path.mkdir()
@@ -1426,7 +1417,7 @@ def test_no_focus_shows_all_backlog_items(self, tmp_path, monkeypatch):
class TestBuildCeoTaskFocus:
def test_focus_task_contains_targeted_mode(self, tmp_path):
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(tmp_path, "improve", focus="Add caching")
assert "Targeted Mode" in task
@@ -1434,13 +1425,13 @@ def test_focus_task_contains_targeted_mode(self, tmp_path):
assert "Add caching" in task
def test_no_focus_no_targeted_mode(self, tmp_path):
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
task = _build_ceo_task(tmp_path, "improve")
assert "Targeted Mode" not in task
def test_build_ceo_task_does_not_write_backlog(self, tmp_path):
- from factory.cli import _build_ceo_task
+ from factory.cli._task_builder import _build_ceo_task
_build_ceo_task(tmp_path, "improve", focus="Add caching")
backlog_path = tmp_path / ".factory" / "strategy" / "backlog.md"
@@ -1459,8 +1450,18 @@ def test_focus_and_prompt_rejected_ceo(self, tmp_path):
prompt_path = tmp_path / "spec.md"
prompt_path.write_text("Build a thing")
- result = main(["ceo", str(tmp_path), "--focus", "fix bug",
- "--prompt", str(prompt_path), "--mode", "improve"])
+ result = main(
+ [
+ "ceo",
+ str(tmp_path),
+ "--focus",
+ "fix bug",
+ "--prompt",
+ str(prompt_path),
+ "--mode",
+ "improve",
+ ]
+ )
assert result == 1
def test_focus_and_prompt_rejected_run(self, tmp_path):
@@ -1468,8 +1469,18 @@ def test_focus_and_prompt_rejected_run(self, tmp_path):
prompt_path = tmp_path / "spec.md"
prompt_path.write_text("Build a thing")
- result = main(["run", str(tmp_path), "--focus", "fix bug",
- "--prompt", str(prompt_path), "--mode", "improve"])
+ result = main(
+ [
+ "run",
+ str(tmp_path),
+ "--focus",
+ "fix bug",
+ "--prompt",
+ str(prompt_path),
+ "--mode",
+ "improve",
+ ]
+ )
assert result == 1
def test_focus_rejected_in_build_mode(self):
@@ -1505,3 +1516,24 @@ def test_study_parser_focus_default_none(self):
parser = build_parser()
args = parser.parse_args(["study", "/tmp/test"])
assert args.focus is None
+
+
+class TestBuildSpecSection:
+ def test_full_spec_included(self, tmp_path):
+ from factory.study import _build_spec_section
+
+ spec_lines = [f"## Section {i}\nDetail for section {i}." for i in range(10)]
+ spec_content = "# My Spec\n" + "\n".join(spec_lines)
+ (tmp_path / "SPEC.md").write_text(spec_content)
+
+ result = _build_spec_section(tmp_path)
+ body = "\n".join(result)
+
+ for i in range(10):
+ assert f"Detail for section {i}." in body
+
+ def test_no_spec(self, tmp_path):
+ from factory.study import _build_spec_section
+
+ result = _build_spec_section(tmp_path)
+ assert any("No SPEC.md found" in line for line in result)
diff --git a/tests/test_telemetry.py b/tests/test_telemetry.py
index adfc7e2e4..a9ad5e47e 100644
--- a/tests/test_telemetry.py
+++ b/tests/test_telemetry.py
@@ -3,29 +3,32 @@
from __future__ import annotations
import json
+import sys
+import time as _time
+from datetime import datetime
from pathlib import Path
+from typing import Any
from unittest.mock import MagicMock, patch
import pytest
import factory.telemetry as telemetry_mod
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "scripts" / "langfuse"))
+from analyze_failure import _find_trial_log, find_matching_trace, generate_report, main
+
@pytest.fixture(autouse=True)
def _reset_telemetry():
"""Reset telemetry module state between tests."""
old_client = telemetry_mod._client
old_obs = telemetry_mod._observations.copy()
- old_names = telemetry_mod._trace_names.copy()
telemetry_mod._client = None
telemetry_mod._observations.clear()
- telemetry_mod._trace_names.clear()
yield
telemetry_mod._client = old_client
telemetry_mod._observations.clear()
telemetry_mod._observations.update(old_obs)
- telemetry_mod._trace_names.clear()
- telemetry_mod._trace_names.update(old_names)
class TestIsEnabled:
@@ -35,6 +38,7 @@ def test_returns_false_without_langfuse(self) -> None:
def test_returns_false_without_host(self, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.delenv("LANGFUSE_HOST", raising=False)
+ monkeypatch.delenv("LANGFUSE_BASE_URL", raising=False)
with patch.object(telemetry_mod, "_HAS_LANGFUSE", True):
assert telemetry_mod.is_enabled() is False
@@ -47,6 +51,16 @@ def test_returns_true_when_configured(self, monkeypatch: pytest.MonkeyPatch) ->
assert telemetry_mod.is_enabled() is True
assert telemetry_mod._client is mock_client
+ def test_returns_true_with_langfuse_base_url(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.delenv("LANGFUSE_HOST", raising=False)
+ monkeypatch.setenv("LANGFUSE_BASE_URL", "https://langfuse.example.com")
+ mock_client = MagicMock()
+ mock_langfuse_cls = MagicMock(return_value=mock_client)
+ monkeypatch.setattr(telemetry_mod, "_HAS_LANGFUSE", True)
+ monkeypatch.setattr(telemetry_mod, "Langfuse", mock_langfuse_cls, raising=False)
+ assert telemetry_mod.is_enabled() is True
+ assert telemetry_mod._client is mock_client
+
def test_returns_true_on_subsequent_calls(self) -> None:
telemetry_mod._client = MagicMock()
assert telemetry_mod.is_enabled() is True
@@ -61,7 +75,7 @@ def test_creates_trace_and_returns_tuple(self) -> None:
mock_client.start_observation.return_value = mock_obs
telemetry_mod._client = mock_client
- with patch.object(telemetry_mod, "_update_trace_via_api"):
+ with patch.object(telemetry_mod, "_set_trace_name_on_span"):
result = telemetry_mod.begin_trace("my-project", "cycle-1", model="opus")
assert result == ("trace-abc", "span-abc")
@@ -80,7 +94,7 @@ def test_metadata_includes_none_model_when_omitted(self) -> None:
mock_client.start_observation.return_value = mock_obs
telemetry_mod._client = mock_client
- with patch.object(telemetry_mod, "_update_trace_via_api"):
+ with patch.object(telemetry_mod, "_set_trace_name_on_span"):
telemetry_mod.begin_trace("proj", "c1")
mock_client.start_observation.assert_called_once_with(
@@ -91,6 +105,67 @@ def test_metadata_includes_none_model_when_omitted(self) -> None:
)
+class TestBeginTraceMetadata:
+ def test_includes_benchmark_and_instance_id_from_env(
+ self, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.setenv("FACTORY_BENCHMARK", "swebench")
+ monkeypatch.setenv("FACTORY_INSTANCE_ID", "django__django-12345")
+ mock_client = MagicMock()
+ mock_obs = MagicMock()
+ mock_obs.id = "span-meta"
+ mock_obs.trace_id = "trace-meta"
+ mock_client.start_observation.return_value = mock_obs
+ telemetry_mod._client = mock_client
+
+ with patch.object(telemetry_mod, "_set_trace_name_on_span"):
+ telemetry_mod.begin_trace("proj", "c1", model="opus")
+
+ call_kwargs = mock_client.start_observation.call_args[1]
+ assert call_kwargs["metadata"]["benchmark"] == "swebench"
+ assert call_kwargs["metadata"]["instance_id"] == "django__django-12345"
+ assert call_kwargs["metadata"]["model"] == "opus"
+ assert call_kwargs["metadata"]["project"] == "proj"
+
+ def test_omits_benchmark_keys_when_env_vars_absent(
+ self, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.delenv("FACTORY_BENCHMARK", raising=False)
+ monkeypatch.delenv("FACTORY_INSTANCE_ID", raising=False)
+ mock_client = MagicMock()
+ mock_obs = MagicMock()
+ mock_obs.id = "span-no-meta"
+ mock_obs.trace_id = "trace-no-meta"
+ mock_client.start_observation.return_value = mock_obs
+ telemetry_mod._client = mock_client
+
+ with patch.object(telemetry_mod, "_set_trace_name_on_span"):
+ telemetry_mod.begin_trace("proj", "c1")
+
+ call_kwargs = mock_client.start_observation.call_args[1]
+ assert "benchmark" not in call_kwargs["metadata"]
+ assert "instance_id" not in call_kwargs["metadata"]
+
+ def test_includes_only_benchmark_when_instance_id_absent(
+ self, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.setenv("FACTORY_BENCHMARK", "featurebench")
+ monkeypatch.delenv("FACTORY_INSTANCE_ID", raising=False)
+ mock_client = MagicMock()
+ mock_obs = MagicMock()
+ mock_obs.id = "span-partial"
+ mock_obs.trace_id = "trace-partial"
+ mock_client.start_observation.return_value = mock_obs
+ telemetry_mod._client = mock_client
+
+ with patch.object(telemetry_mod, "_set_trace_name_on_span"):
+ telemetry_mod.begin_trace("proj", "c1")
+
+ call_kwargs = mock_client.start_observation.call_args[1]
+ assert call_kwargs["metadata"]["benchmark"] == "featurebench"
+ assert "instance_id" not in call_kwargs["metadata"]
+
+
class TestBeginSpan:
def test_creates_span_with_parent(self) -> None:
mock_client = MagicMock()
@@ -175,10 +250,8 @@ def test_marks_trace_completed(self) -> None:
mock_obs = MagicMock()
telemetry_mod._client = mock_client
telemetry_mod._observations["span-1"] = mock_obs
- telemetry_mod._trace_names["trace-1"] = ("factory:proj/c1", {"project": "proj"})
- with patch.object(telemetry_mod, "_update_trace_via_api"):
- telemetry_mod.end_trace("trace-1", span_id="span-1")
+ telemetry_mod.end_trace("trace-1", span_id="span-1")
mock_obs.update.assert_called_once_with(output={"status": "completed"})
mock_obs.end.assert_called_once()
@@ -189,15 +262,43 @@ class TestFlush:
def test_flushes_when_client_exists(self) -> None:
mock_client = MagicMock()
telemetry_mod._client = mock_client
- with patch.object(telemetry_mod, "_update_trace_via_api"):
- telemetry_mod.flush()
- assert mock_client.flush.call_count == 2
+ telemetry_mod.flush()
+ mock_client.flush.assert_called_once()
def test_noop_when_no_client(self) -> None:
telemetry_mod._client = None
telemetry_mod.flush()
+class TestClaudeProjectsDir:
+ def test_find_transcript_respects_claude_config_dir(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ custom_dir = tmp_path / "custom-claude"
+ project_path = tmp_path / "my-project"
+ dir_name = str(project_path.resolve()).replace("/", "-").replace(".", "-")
+ transcript_dir = custom_dir / "projects" / dir_name
+ transcript_dir.mkdir(parents=True)
+ transcript_file = transcript_dir / "sess-abc.jsonl"
+ transcript_file.write_text('{"type":"user"}\n')
+
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(custom_dir))
+
+ result = telemetry_mod._find_transcript("sess-abc", project_path)
+ assert result is not None
+ assert result == transcript_file
+
+ def test_get_claude_projects_dir_default(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.delenv("CLAUDE_CONFIG_DIR", raising=False)
+ result = telemetry_mod._get_claude_projects_dir()
+ assert result == Path.home() / ".claude" / "projects"
+
+ def test_get_claude_projects_dir_custom(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", "/tmp/custom-claude")
+ result = telemetry_mod._get_claude_projects_dir()
+ assert result == Path("/tmp/custom-claude/projects")
+
+
class TestIngestTranscript:
def test_returns_false_when_no_transcript(self, tmp_path: Path) -> None:
mock_client = MagicMock()
@@ -249,3 +350,969 @@ def test_ingests_transcript_events(self, tmp_path: Path) -> None:
transcript_dir.rmdir()
except OSError:
pass
+
+
+class TestFindMatchingTrace:
+ @staticmethod
+ def _make_trace(
+ trace_id: str,
+ name: str = "",
+ metadata: dict | None = None,
+ start_time: str = "",
+ latency: int = 0,
+ ) -> dict:
+ return {
+ "id": trace_id,
+ "name": name,
+ "metadata": metadata or {},
+ "startTime": start_time,
+ "latency": latency,
+ }
+
+ def test_metadata_match_preferred_over_text_match(self) -> None:
+ traces = [
+ self._make_trace(
+ "text-match", name="factory:swebench/cycle",
+ start_time="2026-01-01T00:00:00Z", latency=100,
+ ),
+ self._make_trace(
+ "meta-match", metadata={"benchmark": "swebench", "instance_id": "django-123"},
+ start_time="2026-01-01T00:01:00Z", latency=10,
+ ),
+ ]
+ with patch("analyze_failure.list_traces", return_value=traces):
+ result = find_matching_trace(
+ "swebench", "django-123",
+ datetime(2026, 1, 1), 3600,
+ )
+ assert result is not None
+ assert result["id"] == "meta-match"
+
+ def test_no_fallback_to_all_traces_when_no_match(self) -> None:
+ traces = [
+ self._make_trace(
+ "unrelated", name="factory:other/cycle",
+ metadata={"benchmark": "other", "instance_id": "other-1"},
+ start_time="2026-01-01T00:00:00Z", latency=500,
+ ),
+ ]
+ with patch("analyze_failure.list_traces", return_value=traces):
+ result = find_matching_trace(
+ "swebench", "django-123",
+ datetime(2026, 1, 1), 3600,
+ )
+ assert result is None
+
+ def test_earliest_timestamp_wins_not_max_latency(self) -> None:
+ traces = [
+ self._make_trace(
+ "late-high-latency",
+ metadata={"benchmark": "swebench", "instance_id": "django-123"},
+ start_time="2026-01-01T00:10:00Z", latency=9999,
+ ),
+ self._make_trace(
+ "early-low-latency",
+ metadata={"benchmark": "swebench", "instance_id": "django-123"},
+ start_time="2026-01-01T00:01:00Z", latency=10,
+ ),
+ ]
+ with patch("analyze_failure.list_traces", return_value=traces):
+ result = find_matching_trace(
+ "swebench", "django-123",
+ datetime(2026, 1, 1), 3600,
+ )
+ assert result is not None
+ assert result["id"] == "early-low-latency"
+
+ def test_text_fallback_uses_earliest_timestamp(self) -> None:
+ traces = [
+ self._make_trace(
+ "late", name="factory:swebench/cycle",
+ start_time="2026-01-01T00:10:00Z", latency=500,
+ ),
+ self._make_trace(
+ "early", name="factory:swebench/cycle",
+ start_time="2026-01-01T00:01:00Z", latency=10,
+ ),
+ ]
+ with patch("analyze_failure.list_traces", return_value=traces):
+ result = find_matching_trace(
+ "swebench", "other-id",
+ datetime(2026, 1, 1), 3600,
+ )
+ assert result is not None
+ assert result["id"] == "early"
+
+ def test_returns_none_on_empty_traces(self) -> None:
+ with patch("analyze_failure.list_traces", return_value=[]):
+ result = find_matching_trace(
+ "swebench", "django-123",
+ datetime(2026, 1, 1), 3600,
+ )
+ assert result is None
+
+
+class TestGenerateReportFallback:
+ @staticmethod
+ def _result_data(
+ solver: str = "factory",
+ exception: str = "",
+ benchmark: str = "swebench",
+ instance_id: str = "django-123",
+ timestamp: str = "20260101T000000Z",
+ ) -> dict:
+ data: dict = {
+ "benchmark": benchmark,
+ "instance_id": instance_id,
+ "solver": solver,
+ "duration_seconds": 120,
+ "resolved": False,
+ "timestamp": timestamp,
+ }
+ if exception:
+ data["details"] = {"exception": exception}
+ return data
+
+ def test_claude_code_solver_not_short_circuited(self, tmp_path: Path) -> None:
+ data = self._result_data(solver="claude-code", exception="RuntimeError: timeout after 300s")
+ result_json = tmp_path / "result.json"
+ result_json.write_text(json.dumps(data))
+
+ with patch("analyze_failure.run_llm_analysis"), patch("analyze_failure.run_llm_summary"):
+ with patch("sys.argv", ["analyze_failure", str(result_json), "--no-llm"]):
+ with patch("analyze_failure._write_output") as mock_write:
+ main()
+ report = mock_write.call_args[0][0]
+ assert "RuntimeError: timeout after 300s" in report
+
+ def test_trial_log_fallback_no_trace(self, tmp_path: Path) -> None:
+ data = self._result_data(timestamp="20260101T000000Z", benchmark="swebench")
+ trial_log = tmp_path / "20260101T000000Z-swebench-trial.log"
+ trial_log.write_text("ERROR: solver crashed at step 3\nTraceback: ...")
+
+ report = generate_report(
+ data, trace=None, trace_id=None, host=None,
+ use_llm=False, result_dir=tmp_path,
+ )
+ assert "Harbor Artifacts" in report
+ assert "solver crashed at step 3" in report
+
+ def test_trial_log_with_llm_analysis(self, tmp_path: Path) -> None:
+ data = self._result_data(timestamp="20260101T000000Z", benchmark="swebench")
+ trial_log = tmp_path / "20260101T000000Z-swebench-trial.log"
+ trial_log.write_text("ERROR: solver crashed at step 3")
+
+ with patch("analyze_failure.run_llm_analysis", return_value="The solver crashed due to OOM") as mock_llm:
+ report = generate_report(
+ data, trace=None, trace_id=None, host=None,
+ use_llm=True, result_dir=tmp_path,
+ )
+ assert "The solver crashed due to OOM" in report
+ assert "Diagnosis" in report
+ mock_llm.assert_called_once()
+ assert "solver crashed at step 3" in mock_llm.call_args[0][0]
+
+ def test_no_trace_no_artifacts(self) -> None:
+ data = self._result_data()
+ report = generate_report(
+ data, trace=None, trace_id=None, host=None,
+ use_llm=False, result_dir=None,
+ )
+ assert "No matching Langfuse trace found" in report
+
+ def test_summary_mode_uses_trial_log(self, tmp_path: Path) -> None:
+ data = self._result_data(timestamp="20260101T000000Z", benchmark="swebench")
+ trial_log = tmp_path / "20260101T000000Z-swebench-trial.log"
+ trial_log.write_text("ERROR: solver timeout")
+
+ with patch("analyze_failure.run_llm_summary", return_value="Solver timed out") as mock_summary:
+ report = generate_report(
+ data, trace=None, trace_id=None, host=None,
+ use_llm=True, summary=True, result_dir=tmp_path,
+ )
+ assert report == "Solver timed out"
+ mock_summary.assert_called_once()
+ assert "solver timeout" in mock_summary.call_args[0][0]
+
+
+class TestFindTrialLog:
+ def test_finds_matching_trial_log(self, tmp_path: Path) -> None:
+ log_file = tmp_path / "20260101T000000Z-swebench-trial.log"
+ log_file.write_text("log content here")
+ result = _find_trial_log(tmp_path, {"timestamp": "20260101T000000Z", "benchmark": "swebench"})
+ assert result == "log content here"
+
+ def test_truncates_large_log(self, tmp_path: Path) -> None:
+ log_file = tmp_path / "20260101T000000Z-swebench-trial.log"
+ content = "x" * (60 * 1024)
+ log_file.write_text(content)
+ result = _find_trial_log(tmp_path, {"timestamp": "20260101T000000Z", "benchmark": "swebench"})
+ assert len(result) == 50 * 1024
+
+ def test_returns_empty_when_no_dir(self) -> None:
+ result = _find_trial_log(None, {"timestamp": "20260101T000000Z", "benchmark": "swebench"})
+ assert result == ""
+
+ def test_returns_empty_when_file_missing(self, tmp_path: Path) -> None:
+ result = _find_trial_log(tmp_path, {"timestamp": "20260101T000000Z", "benchmark": "swebench"})
+ assert result == ""
+
+
+# ---------------------------------------------------------------------------
+# Additional coverage tests for telemetry module
+# ---------------------------------------------------------------------------
+
+class TestIsEnabledInitFails:
+ """Cover lines 43-45: Langfuse IS available but constructor raises."""
+
+ def test_returns_false_when_langfuse_init_raises(self, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.setenv("LANGFUSE_HOST", "http://localhost:3000")
+ monkeypatch.setattr(telemetry_mod, "_HAS_LANGFUSE", True)
+ monkeypatch.setattr(
+ telemetry_mod, "Langfuse",
+ MagicMock(side_effect=RuntimeError("connection refused")),
+ raising=False,
+ )
+ assert telemetry_mod.is_enabled() is False
+ assert telemetry_mod._client is None
+
+
+class TestGetClient:
+ """Cover line 50: _get_client raises when not initialised."""
+
+ def test_raises_when_not_initialised(self) -> None:
+ telemetry_mod._client = None
+ with pytest.raises(RuntimeError, match="Langfuse not initialised"):
+ telemetry_mod._get_client()
+
+
+class TestSetTraceNameOnSpan:
+ """Cover lines 60-70: OTel span attribute setting."""
+
+ def test_sets_trace_name_and_input(self) -> None:
+ mock_otel_span = MagicMock()
+ mock_otel_span.is_recording.return_value = True
+ mock_obs = MagicMock()
+ mock_obs._otel_span = mock_otel_span
+
+ mock_attrs = MagicMock()
+ mock_attrs.TRACE_NAME = "langfuse.trace.name"
+ mock_attrs.TRACE_INPUT = "langfuse.trace.input"
+
+ with patch(
+ "factory.telemetry.LangfuseOtelSpanAttributes",
+ mock_attrs,
+ create=True,
+ ):
+ # Patch the import inside the function
+ with patch.dict("sys.modules", {
+ "langfuse._client.attributes": MagicMock(
+ LangfuseOtelSpanAttributes=mock_attrs,
+ ),
+ }):
+ telemetry_mod._set_trace_name_on_span(mock_obs, "my-trace", {"key": "val"})
+
+ mock_otel_span.set_attribute.assert_any_call("langfuse.trace.name", "my-trace")
+ mock_otel_span.set_attribute.assert_any_call(
+ "langfuse.trace.input", '{"key": "val"}',
+ )
+
+ def test_sets_string_input_directly(self) -> None:
+ mock_otel_span = MagicMock()
+ mock_otel_span.is_recording.return_value = True
+ mock_obs = MagicMock()
+ mock_obs._otel_span = mock_otel_span
+
+ mock_attrs = MagicMock()
+ mock_attrs.TRACE_NAME = "langfuse.trace.name"
+ mock_attrs.TRACE_INPUT = "langfuse.trace.input"
+
+ with patch.dict("sys.modules", {
+ "langfuse._client.attributes": MagicMock(
+ LangfuseOtelSpanAttributes=mock_attrs,
+ ),
+ }):
+ telemetry_mod._set_trace_name_on_span(mock_obs, "my-trace", "raw string input")
+
+ mock_otel_span.set_attribute.assert_any_call("langfuse.trace.input", "raw string input")
+
+ def test_skips_when_no_otel_span(self) -> None:
+ mock_obs = MagicMock(spec=[]) # no _otel_span attribute
+ with patch.dict("sys.modules", {
+ "langfuse._client.attributes": MagicMock(),
+ }):
+ # Should not raise
+ telemetry_mod._set_trace_name_on_span(mock_obs, "name")
+
+ def test_skips_when_not_recording(self) -> None:
+ mock_otel_span = MagicMock()
+ mock_otel_span.is_recording.return_value = False
+ mock_obs = MagicMock()
+ mock_obs._otel_span = mock_otel_span
+
+ with patch.dict("sys.modules", {
+ "langfuse._client.attributes": MagicMock(),
+ }):
+ telemetry_mod._set_trace_name_on_span(mock_obs, "name")
+
+ mock_otel_span.set_attribute.assert_not_called()
+
+ def test_handles_import_error_gracefully(self) -> None:
+ mock_obs = MagicMock()
+ # Remove the module so import fails inside the function
+ with patch.dict("sys.modules", {"langfuse._client.attributes": None}):
+ # Should not raise
+ telemetry_mod._set_trace_name_on_span(mock_obs, "name")
+
+
+class TestBeginTraceDisabled:
+ """Cover line 80: begin_trace returns None when disabled."""
+
+ def test_returns_none_when_disabled(self) -> None:
+ telemetry_mod._client = None
+ with patch.object(telemetry_mod, "_HAS_LANGFUSE", False):
+ assert telemetry_mod.begin_trace("proj", "c1") is None
+
+
+class TestBeginSpanBranches:
+ """Cover lines 112, 127, 136: begin_span edge cases."""
+
+ def test_returns_none_when_disabled(self) -> None:
+ telemetry_mod._client = None
+ with patch.object(telemetry_mod, "_HAS_LANGFUSE", False):
+ assert telemetry_mod.begin_span("t1", "p1", "builder") is None
+
+ def test_with_trace_context_and_parent_span_id(self) -> None:
+ """Line 127: parent_span_id provided but not in _observations."""
+ mock_client = MagicMock()
+ mock_obs = MagicMock()
+ mock_obs.id = "span-tc"
+ mock_obs.trace_id = "trace-tc"
+ mock_client.start_observation.return_value = mock_obs
+ telemetry_mod._client = mock_client
+ # parent_span_id given but NOT in _observations => falls to elif trace_id
+ result = telemetry_mod.begin_span("trace-tc", "missing-parent", "qa")
+ assert result == "span-tc"
+ call_kwargs = mock_client.start_observation.call_args[1]
+ assert call_kwargs["trace_context"] == {
+ "trace_id": "trace-tc",
+ "parent_span_id": "missing-parent",
+ }
+
+ def test_with_no_trace_id_and_no_parent(self) -> None:
+ """Line 136: no parent obs, empty trace_id."""
+ mock_client = MagicMock()
+ mock_obs = MagicMock()
+ mock_obs.id = "span-bare"
+ mock_obs.trace_id = "trace-bare"
+ mock_client.start_observation.return_value = mock_obs
+ telemetry_mod._client = mock_client
+
+ result = telemetry_mod.begin_span("", None, "researcher", task="do stuff")
+ assert result == "span-bare"
+ mock_client.start_observation.assert_called_once_with(
+ name="agent:researcher",
+ as_type="span",
+ input="do stuff",
+ metadata={"role": "researcher", "model": None},
+ )
+
+
+class TestEndSpanBranches:
+ """Cover lines 159, 162: end_span edge cases."""
+
+ def test_noop_when_disabled(self) -> None:
+ telemetry_mod._client = None
+ with patch.object(telemetry_mod, "_HAS_LANGFUSE", False):
+ telemetry_mod.end_span("t1", "s1") # should not raise
+
+ def test_noop_when_empty_span_id(self) -> None:
+ telemetry_mod._client = MagicMock()
+ telemetry_mod.end_span("t1", "") # should not raise
+
+ def test_noop_when_span_not_found(self) -> None:
+ telemetry_mod._client = MagicMock()
+ telemetry_mod.end_span("t1", "nonexistent") # should not raise
+
+ def test_usage_from_object_attrs(self) -> None:
+ """Usage as an object with attributes instead of dict."""
+ mock_obs = MagicMock()
+ telemetry_mod._client = MagicMock()
+ telemetry_mod._observations["s1"] = mock_obs
+
+ class UsageObj:
+ input_tokens = 200
+ output_tokens = 100
+ cache_read_tokens = 50
+ total_cost_usd = 0.1
+ duration_ms = 500.0
+ num_turns = 3
+ model = "opus"
+
+ telemetry_mod.end_span("t1", "s1", usage=UsageObj())
+ meta = mock_obs.update.call_args[1]["metadata"]
+ assert meta["input_tokens"] == 200
+ assert meta["model"] == "opus"
+
+
+class TestEndTraceBranches:
+ """Cover lines 186, 189->193: end_trace edge cases."""
+
+ def test_noop_when_disabled(self) -> None:
+ telemetry_mod._client = None
+ with patch.object(telemetry_mod, "_HAS_LANGFUSE", False):
+ telemetry_mod.end_trace("t1") # should not raise
+
+ def test_obs_not_found(self) -> None:
+ """Line 189->193: obs is None, should just log."""
+ telemetry_mod._client = MagicMock()
+ telemetry_mod.end_trace("t1", span_id="nonexistent") # should not raise
+
+ def test_with_custom_output(self) -> None:
+ mock_obs = MagicMock()
+ telemetry_mod._client = MagicMock()
+ telemetry_mod._observations["s1"] = mock_obs
+ telemetry_mod.end_trace("t1", span_id="s1", output="done!")
+ mock_obs.update.assert_called_once_with(output="done!")
+
+
+class TestFindTranscriptFallback:
+ """Cover lines 223->229, 225->224, 228: fallback directory search."""
+
+ def test_finds_transcript_via_fallback_search(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ claude_dir = tmp_path / "claude-config" / "projects"
+ # Put the transcript in a differently-named dir
+ other_dir = claude_dir / "some-other-project-dir"
+ other_dir.mkdir(parents=True)
+ transcript_file = other_dir / "sess-fallback.jsonl"
+ transcript_file.write_text('{"type":"user"}\n')
+
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ project_path = tmp_path / "my-project"
+
+ result = telemetry_mod._find_transcript("sess-fallback", project_path)
+ assert result == transcript_file
+
+ def test_returns_none_when_not_found_anywhere(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ claude_dir = tmp_path / "claude-config" / "projects"
+ claude_dir.mkdir(parents=True)
+
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ project_path = tmp_path / "my-project"
+
+ result = telemetry_mod._find_transcript("nonexistent-session", project_path)
+ assert result is None
+
+
+class TestProcessTranscriptItem:
+ """Cover _process_transcript_item for various item types."""
+
+ def _make_parent(self) -> MagicMock:
+ parent = MagicMock()
+ tool_obs = MagicMock()
+ parent.start_observation.return_value = tool_obs
+ return parent
+
+ def test_user_string_content(self) -> None:
+ """Line 254: content part is a raw string."""
+ parent = self._make_parent()
+ item = {"type": "user", "message": {"content": ["hello world"]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(name="user_message", input="hello world")
+
+ def test_user_text_type_part(self) -> None:
+ """Line 269->252: text type dict in user content."""
+ parent = self._make_parent()
+ item = {"type": "user", "message": {"content": [
+ {"type": "text", "text": "some text"},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(name="user_message", input="some text")
+
+ def test_user_tool_result_not_in_pending(self) -> None:
+ """Lines 280-285: tool_result with tool_use_id not in pending_tools."""
+ parent = self._make_parent()
+ item = {"type": "user", "message": {"content": [
+ {"type": "tool_result", "tool_use_id": "orphan-id", "content": ["result data"]},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(
+ name="tool_output",
+ output="result data",
+ metadata={"tool_use_id": "orphan-id"},
+ )
+
+ def test_user_tool_result_with_list_content(self) -> None:
+ """Tool result content is a list."""
+ parent = self._make_parent()
+ tool_obs = MagicMock()
+ pending = {"tu-1": tool_obs}
+ item = {"type": "user", "message": {"content": [
+ {"type": "tool_result", "tool_use_id": "tu-1", "content": ["part1", "part2"]},
+ ]}}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ tool_obs.update.assert_called_once_with(output="part1part2")
+ tool_obs.end.assert_called_once()
+ assert "tu-1" not in pending
+
+ def test_user_empty_text_ignored(self) -> None:
+ """Lines 289->355: text parts present but empty => no event."""
+ parent = self._make_parent()
+ item = {"type": "user", "message": {"content": [
+ {"type": "text", "text": " "},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 0
+ parent.create_event.assert_not_called()
+
+ def test_assistant_non_dict_content_skipped(self) -> None:
+ """Line 301: non-dict content parts are skipped."""
+ parent = self._make_parent()
+ item = {"type": "assistant", "message": {"content": [
+ "raw string part",
+ {"type": "text", "text": "real text"},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(name="assistant_message", output="real text")
+
+ def test_assistant_empty_text_skipped(self) -> None:
+ """Lines 305->299: empty text in assistant content."""
+ parent = self._make_parent()
+ item = {"type": "assistant", "message": {"content": [
+ {"type": "text", "text": " "},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 0
+
+ def test_assistant_tool_use_no_id(self) -> None:
+ """Line 323: tool_use with empty id => ends immediately."""
+ parent = self._make_parent()
+ tool_obs = MagicMock()
+ parent.start_observation.return_value = tool_obs
+ item = {"type": "assistant", "message": {"content": [
+ {"type": "tool_use", "name": "Bash", "input": {"cmd": "ls"}, "id": ""},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ tool_obs.end.assert_called_once()
+ assert len(pending) == 0
+
+ def test_assistant_thinking_type(self) -> None:
+ """Lines 325-332: thinking content type."""
+ parent = self._make_parent()
+ item = {"type": "assistant", "message": {"content": [
+ {"type": "thinking", "thinking": "Let me think about this..."},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(
+ name="thinking", output="Let me think about this...",
+ )
+
+ def test_assistant_thinking_empty_skipped(self) -> None:
+ parent = self._make_parent()
+ item = {"type": "assistant", "message": {"content": [
+ {"type": "thinking", "thinking": " "},
+ ]}}
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 0
+
+ def test_tool_result_type_with_pending(self) -> None:
+ """Lines 334-353: top-level tool_result item type with matching pending."""
+ parent = self._make_parent()
+ tool_obs = MagicMock()
+ pending = {"tu-2": tool_obs}
+ item = {
+ "type": "tool_result",
+ "tool_use_id": "tu-2",
+ "content": [{"type": "text", "text": "output here"}],
+ }
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ tool_obs.update.assert_called_once_with(output="output here")
+ tool_obs.end.assert_called_once()
+
+ def test_tool_result_type_without_pending(self) -> None:
+ """Lines 348-352: top-level tool_result with no matching pending."""
+ parent = self._make_parent()
+ pending: dict[str, Any] = {}
+ item = {
+ "type": "tool_result",
+ "tool_use_id": "tu-orphan",
+ "content": ["string content"],
+ }
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 1
+ parent.create_event.assert_called_once_with(name="tool_output", output="string content")
+
+ def test_tool_result_type_empty_text_ignored(self) -> None:
+ """tool_result with empty text."""
+ parent = self._make_parent()
+ pending: dict[str, Any] = {}
+ item = {
+ "type": "tool_result",
+ "tool_use_id": "tu-x",
+ "content": [{"type": "text", "text": " "}],
+ }
+ count = telemetry_mod._process_transcript_item(item, parent, pending)
+ assert count == 0
+
+ def test_unknown_type_returns_zero(self) -> None:
+ parent = self._make_parent()
+ pending: dict[str, Any] = {}
+ count = telemetry_mod._process_transcript_item(
+ {"type": "system"}, parent, pending,
+ )
+ assert count == 0
+
+
+class TestIngestTranscriptEdgeCases:
+ """Cover lines 370, 379-380, 389, 392-393, 397-398."""
+
+ def test_returns_false_when_disabled(self, tmp_path: Path) -> None:
+ """Line 370."""
+ telemetry_mod._client = None
+ with patch.object(telemetry_mod, "_HAS_LANGFUSE", False):
+ assert telemetry_mod.ingest_transcript_to_span(
+ "t1", "s1", "sess", tmp_path,
+ ) is False
+
+ def test_returns_false_when_parent_not_found(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 379-380."""
+ telemetry_mod._client = MagicMock()
+ # Create a transcript file so _find_transcript succeeds
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ transcript_dir = claude_dir / dir_name
+ transcript_dir.mkdir(parents=True)
+ (transcript_dir / "sess-1.jsonl").write_text('{"type":"user"}\n')
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+
+ # _observations does NOT have span-1
+ assert telemetry_mod.ingest_transcript_to_span(
+ "t1", "span-1", "sess-1", tmp_path,
+ ) is False
+
+ def test_handles_empty_lines_and_bad_json(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 389, 392-393: empty lines and JSON decode errors."""
+ telemetry_mod._client = MagicMock()
+ mock_parent = MagicMock()
+ telemetry_mod._observations["s1"] = mock_parent
+
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ transcript_dir = claude_dir / dir_name
+ transcript_dir.mkdir(parents=True)
+ transcript_file = transcript_dir / "sess-bad.jsonl"
+ transcript_file.write_text("\n\n{not valid json}\n\n")
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+
+ result = telemetry_mod.ingest_transcript_to_span(
+ "t1", "s1", "sess-bad", tmp_path,
+ )
+ assert result is False # no observations created
+
+ def test_cleans_up_pending_tools(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 397-398: leftover pending tools get ended."""
+ telemetry_mod._client = MagicMock()
+ mock_parent = MagicMock()
+ mock_tool_obs = MagicMock()
+ mock_parent.start_observation.return_value = mock_tool_obs
+ telemetry_mod._observations["s1"] = mock_parent
+
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ transcript_dir = claude_dir / dir_name
+ transcript_dir.mkdir(parents=True)
+ transcript_file = transcript_dir / "sess-pending.jsonl"
+ # Tool use with no matching result
+ items = [
+ {"type": "assistant", "message": {"content": [
+ {"type": "tool_use", "name": "Read", "input": {}, "id": "tu-999"},
+ ]}},
+ ]
+ transcript_file.write_text(
+ "\n".join(json.dumps(i) for i in items) + "\n",
+ )
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+
+ result = telemetry_mod.ingest_transcript_to_span(
+ "t1", "s1", "sess-pending", tmp_path,
+ )
+ assert result is True
+ mock_tool_obs.update.assert_called_with(metadata={"status": "no_result"})
+ mock_tool_obs.end.assert_called_once()
+
+
+class TestFindRecentTranscript:
+ """Cover line 421: no candidates after session_start."""
+
+ def test_returns_none_when_no_recent_files(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ proj_dir = claude_dir / dir_name
+ proj_dir.mkdir(parents=True)
+ # Create a file but set session_start far in the future
+ old_file = proj_dir / "old-session.jsonl"
+ old_file.write_text("{}\n")
+ result = telemetry_mod._find_recent_transcript(tmp_path, _time.time() + 9999)
+ assert result is None
+
+ def test_returns_most_recent(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ proj_dir = claude_dir / dir_name
+ proj_dir.mkdir(parents=True)
+
+ session_start = _time.time() - 10
+ f1 = proj_dir / "sess-a.jsonl"
+ f2 = proj_dir / "sess-b.jsonl"
+ f1.write_text("{}\n")
+ _time.sleep(0.05)
+ f2.write_text("{}\n")
+
+ result = telemetry_mod._find_recent_transcript(tmp_path, session_start)
+ assert result == f2
+
+ def test_returns_none_when_dir_missing(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ result = telemetry_mod._find_recent_transcript(tmp_path, 0.0)
+ assert result is None
+
+
+class TestTranscriptTailer:
+ """Cover TranscriptTailer: start, stop_and_drain, _run, _ingest_new_lines."""
+
+ def _make_tailer(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ *, on_line: Any = None,
+ ) -> telemetry_mod.TranscriptTailer:
+ monkeypatch.setenv("CLAUDE_CONFIG_DIR", str(tmp_path / "claude-config"))
+ telemetry_mod._client = MagicMock()
+ mock_parent = MagicMock()
+ telemetry_mod._observations["span-tailer"] = mock_parent
+
+ tailer = telemetry_mod.TranscriptTailer(
+ trace_id="trace-tailer",
+ span_id="span-tailer",
+ project_path=tmp_path,
+ session_start=_time.time() - 10,
+ on_line=on_line,
+ )
+ # Use very short intervals for tests
+ tailer.POLL_INTERVAL = 0.05
+ tailer.FIND_TIMEOUT = 0.5
+ tailer.FIND_INTERVAL = 0.05
+ return tailer
+
+ def _create_transcript(self, tmp_path: Path, lines: list[str]) -> Path:
+ claude_dir = tmp_path / "claude-config" / "projects"
+ dir_name = str(tmp_path.resolve()).replace("/", "-").replace(".", "-")
+ proj_dir = claude_dir / dir_name
+ proj_dir.mkdir(parents=True, exist_ok=True)
+ transcript_file = proj_dir / "tailer-sess.jsonl"
+ transcript_file.write_text("\n".join(lines) + "\n")
+ return transcript_file
+
+ def test_start_and_stop(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+ """Lines 476-477, 483-484: basic start/stop lifecycle."""
+ items = [
+ json.dumps({"type": "user", "message": {"content": ["hello"]}}),
+ ]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count >= 1
+
+ def test_stop_without_start(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+ """stop_and_drain when thread was never started."""
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ count = tailer.stop_and_drain()
+ assert count == 0
+
+ def test_stop_drains_pending_tools(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 483-484: pending tools cleaned up on stop."""
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ mock_tool = MagicMock()
+ tailer._pending_tools["tu-left"] = mock_tool
+ tailer.stop_and_drain()
+ mock_tool.update.assert_called_with(metadata={"status": "no_result"})
+ mock_tool.end.assert_called_once()
+
+ def test_stop_handles_pending_tool_exception(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 483-484: exception during pending tool cleanup."""
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ mock_tool = MagicMock()
+ mock_tool.update.side_effect = RuntimeError("boom")
+ tailer._pending_tools["tu-err"] = mock_tool
+ # Should not raise
+ tailer.stop_and_drain()
+
+ def test_stop_handles_final_drain_exception(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 476-477: exception during final drain."""
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ transcript_path = self._create_transcript(tmp_path, ['{"type":"user"}'])
+ tailer._transcript_path = transcript_path
+
+ with patch.object(tailer, "_ingest_new_lines", side_effect=RuntimeError("drain fail")):
+ count = tailer.stop_and_drain()
+ assert count == 0
+
+ def test_run_transcript_not_found(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 500-501: transcript never appears within timeout."""
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ tailer.FIND_TIMEOUT = 0.1
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count == 0
+
+ def test_ingest_with_on_line_callback(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 530, 535-536: on_line callback and empty lines."""
+ collected: list[bytes] = []
+ items = [
+ json.dumps({"type": "user", "message": {"content": ["hi"]}}),
+ "", # empty line
+ json.dumps({"type": "assistant", "message": {"content": [
+ {"type": "text", "text": "hello"},
+ ]}}),
+ ]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch, on_line=collected.append)
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count >= 2
+ assert len(collected) >= 2
+ assert all(isinstance(b, bytes) for b in collected)
+
+ def test_on_line_exception_handled(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 535-536: on_line raises."""
+
+ def bad_callback(data: bytes) -> None:
+ raise ValueError("callback error")
+
+ items = [json.dumps({"type": "user", "message": {"content": ["hi"]}})]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch, on_line=bad_callback)
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ # Should still ingest despite callback error
+ assert count >= 1
+
+ def test_ingest_json_decode_error(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 543-544: bad JSON in transcript."""
+ items = [
+ "{invalid json!!!",
+ json.dumps({"type": "user", "message": {"content": ["valid"]}}),
+ ]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count >= 1 # the valid line
+
+ def test_ingest_item_processing_exception(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 549-550: _process_transcript_item raises."""
+ items = [json.dumps({"type": "user", "message": {"content": ["hi"]}})]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+
+ with patch.object(
+ telemetry_mod, "_process_transcript_item",
+ side_effect=RuntimeError("process error"),
+ ):
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count == 0
+
+ def test_ingest_no_parent_span(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Line 538: parent is None => skip processing."""
+ items = [json.dumps({"type": "user", "message": {"content": ["hi"]}})]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+ # Remove the parent span from observations
+ telemetry_mod._observations.pop("span-tailer", None)
+ tailer.start()
+ _time.sleep(0.3)
+ count = tailer.stop_and_drain()
+ assert count == 0
+
+ def test_run_ingest_exception_in_loop(
+ self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch,
+ ) -> None:
+ """Lines 507-508: exception during _ingest_new_lines in run loop."""
+ items = [json.dumps({"type": "user", "message": {"content": ["hi"]}})]
+ self._create_transcript(tmp_path, items)
+ tailer = self._make_tailer(tmp_path, monkeypatch)
+
+ call_count = 0
+ original_ingest = tailer._ingest_new_lines
+
+ def failing_ingest() -> None:
+ nonlocal call_count
+ call_count += 1
+ if call_count <= 2:
+ raise RuntimeError("ingest error")
+ original_ingest()
+
+ tailer._ingest_new_lines = failing_ingest # type: ignore[assignment]
+ tailer.start()
+ _time.sleep(0.5)
+ tailer.stop_and_drain()
+ assert call_count >= 2 # confirms it retried after error
diff --git a/tests/test_templates.py b/tests/test_templates.py
index e9b775f85..ed4eeff9c 100644
--- a/tests/test_templates.py
+++ b/tests/test_templates.py
@@ -8,9 +8,6 @@
PROJECT_TAG,
STRATEGY_FRONTMATTER,
STRATEGY_TAG,
- experiment_tags,
- project_tags,
- strategy_tags,
)
@@ -72,60 +69,3 @@ def test_contains_date(self):
def test_has_two_fields(self):
assert len(STRATEGY_FRONTMATTER) == 2
-
-
-class TestExperimentTags:
- def test_returns_list(self):
- result = experiment_tags("my-proj")
- assert isinstance(result, list)
-
- def test_includes_factory_tag(self):
- result = experiment_tags("my-proj")
- assert FACTORY_TAG in result
-
- def test_includes_experiment_tag(self):
- result = experiment_tags("my-proj")
- assert EXPERIMENT_TAG in result
-
- def test_includes_project_name(self):
- result = experiment_tags("my-proj")
- assert "my-proj" in result
-
- def test_has_three_tags(self):
- assert len(experiment_tags("x")) == 3
-
-
-class TestProjectTags:
- def test_returns_list(self):
- result = project_tags("my-proj")
- assert isinstance(result, list)
-
- def test_includes_factory_tag(self):
- assert FACTORY_TAG in project_tags("my-proj")
-
- def test_includes_project_tag(self):
- assert PROJECT_TAG in project_tags("my-proj")
-
- def test_includes_project_name(self):
- assert "my-proj" in project_tags("my-proj")
-
- def test_has_three_tags(self):
- assert len(project_tags("x")) == 3
-
-
-class TestStrategyTags:
- def test_returns_list(self):
- result = strategy_tags("my-proj")
- assert isinstance(result, list)
-
- def test_includes_factory_tag(self):
- assert FACTORY_TAG in strategy_tags("my-proj")
-
- def test_includes_strategy_tag(self):
- assert STRATEGY_TAG in strategy_tags("my-proj")
-
- def test_includes_project_name(self):
- assert "my-proj" in strategy_tags("my-proj")
-
- def test_has_three_tags(self):
- assert len(strategy_tags("x")) == 3
diff --git a/tests/test_tmux_cli.py b/tests/test_tmux_cli.py
index 34b80813e..fd52415b6 100644
--- a/tests/test_tmux_cli.py
+++ b/tests/test_tmux_cli.py
@@ -4,16 +4,21 @@
import argparse
import json
+import sys
from pathlib import Path
from unittest.mock import MagicMock, patch
+import pytest
+
from factory.cli import (
- _build_tmux_run_args,
- _tmux_session_name,
+ CEO_MODES,
+ build_parser,
cmd_tmux,
+ cmd_tmux_capture,
cmd_tmux_ls,
cmd_tmux_stop,
)
+from factory.cli._tmux_commands import _build_tmux_run_args, _tmux_session_alive, _tmux_session_name
class TestTmuxSessionName:
@@ -44,9 +49,7 @@ def test_builds_correct_export_commands(self) -> None:
env = {
"FACTORY_MODEL": "opus",
"ANTHROPIC_API_KEY": "sk-ant-xxx",
- "BOBSHELL_API_KEY": "bob-key",
"OPENAI_API_KEY": "sk-xxx",
- "CODEX_API_KEY": "codex-key",
"CLAUDE_CODE_USE_VERTEX": "1",
"CLOUD_ML_REGION": "us-central1",
"HOME": "/home/user",
@@ -80,15 +83,18 @@ def test_builds_correct_export_commands(self) -> None:
)
with (
- patch("factory.cli._tmux_available", return_value=True),
- patch("factory.cli._resolve_model", return_value=None),
- patch("factory.cli._save_tmux_session_mapping"),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._resolve_model", return_value=None),
+ patch("factory.cli._tmux_commands._save_tmux_session_mapping"),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("factory.cli._tmux_commands.time.sleep"),
patch("subprocess.run") as mock_run,
patch.dict("os.environ", env, clear=True),
):
mock_run.side_effect = [
MagicMock(returncode=1), # has-session (not found)
MagicMock(returncode=0), # new-session
+ MagicMock(returncode=0, stdout="", stderr=""), # capture-pane
]
cmd_tmux(args)
@@ -98,9 +104,7 @@ def test_builds_correct_export_commands(self) -> None:
assert "ANTHROPIC_API_KEY=" in shell_cmd
assert "CLAUDE_CODE_USE_VERTEX=" in shell_cmd
assert "CLOUD_ML_REGION=" in shell_cmd
- assert "BOBSHELL_API_KEY=" in shell_cmd
assert "OPENAI_API_KEY=" in shell_cmd
- assert "CODEX_API_KEY=" in shell_cmd
assert "UNRELATED_VAR" not in shell_cmd
assert "HOME=" not in shell_cmd
assert "export PATH=" in shell_cmd
@@ -120,7 +124,7 @@ def test_propagates_all_flags(self) -> None:
focus="dashboard UI",
refine="fix login",
clean_pr=True,
- runner="bob",
+ runner="claude",
prompt="/path/to/spec.md",
branch="develop",
min_growth=3,
@@ -180,7 +184,7 @@ def test_requires_all_when_no_session_or_path(self) -> None:
args = argparse.Namespace(session=None, path=None, stop_all=False)
with (
- patch("factory.cli._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
patch("subprocess.run") as mock_run,
):
mock_run.return_value = MagicMock(
@@ -194,7 +198,7 @@ def test_all_flag_kills_sessions(self) -> None:
args = argparse.Namespace(session=None, path=None, stop_all=True)
with (
- patch("factory.cli._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
patch("subprocess.run") as mock_run,
):
mock_run.side_effect = [
@@ -212,9 +216,9 @@ def test_json_output(self, tmp_path: Path) -> None:
mapping = {"factory-app-abc123": "/tmp/app"}
with (
- patch("factory.cli._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
patch("subprocess.run") as mock_run,
- patch("factory.cli._load_tmux_session_mapping", return_value=mapping),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value=mapping),
patch("builtins.print") as mock_print,
):
mock_run.return_value = MagicMock(
@@ -236,9 +240,9 @@ def test_empty_json_output(self) -> None:
args = argparse.Namespace(json_output=True)
with (
- patch("factory.cli._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
patch("subprocess.run") as mock_run,
- patch("factory.cli._load_tmux_session_mapping", return_value={}),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={}),
patch("builtins.print") as mock_print,
):
mock_run.return_value = MagicMock(
@@ -279,15 +283,18 @@ def test_mapping_written_on_launch(self, tmp_path: Path) -> None:
)
with (
- patch("factory.cli._tmux_available", return_value=True),
- patch("factory.cli._resolve_model", return_value=None),
- patch("factory.cli._TMUX_SESSIONS_FILE", sessions_file),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._resolve_model", return_value=None),
+ patch("factory.cli._tmux_commands._TMUX_SESSIONS_FILE", sessions_file),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("factory.cli._tmux_commands.time.sleep"),
patch("subprocess.run") as mock_run,
patch.dict("os.environ", {"PATH": "/usr/bin"}, clear=True),
):
mock_run.side_effect = [
MagicMock(returncode=1), # has-session
MagicMock(returncode=0), # new-session
+ MagicMock(returncode=0, stdout="", stderr=""), # capture-pane
]
cmd_tmux(args)
@@ -303,8 +310,8 @@ def test_mapping_read_on_ls(self, tmp_path: Path) -> None:
args = argparse.Namespace(json_output=True)
with (
- patch("factory.cli._tmux_available", return_value=True),
- patch("factory.cli._TMUX_SESSIONS_FILE", sessions_file),
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._TMUX_SESSIONS_FILE", sessions_file),
patch("subprocess.run") as mock_run,
patch("builtins.print") as mock_print,
):
@@ -317,3 +324,331 @@ def test_mapping_read_on_ls(self, tmp_path: Path) -> None:
printed = mock_print.call_args[0][0]
data = json.loads(printed)
assert data[0]["project"] == "/home/user/app"
+
+
+class TestTmuxModeChoices:
+ @pytest.mark.parametrize("mode", ["design", "interactive", "review", "create"])
+ def test_tmux_accepts_ceo_only_modes(self, mode: str) -> None:
+ parser = build_parser()
+ args = parser.parse_args(["tmux", "/tmp/project", "--mode", mode])
+ assert args.mode == mode
+
+ def test_tmux_accepts_all_ceo_modes(self) -> None:
+ parser = build_parser()
+ for mode in CEO_MODES:
+ args = parser.parse_args(["tmux", "/tmp/project", "--mode", mode])
+ assert args.mode == mode
+
+
+class TestTmuxSessionAlive:
+ def test_returns_true_when_session_exists(self) -> None:
+ with patch("factory.cli._tmux_commands.subprocess.run") as mock_run:
+ mock_run.return_value = MagicMock(returncode=0)
+ assert _tmux_session_alive("factory-app-abc123") is True
+ mock_run.assert_called_once_with(
+ ["tmux", "has-session", "-t", "factory-app-abc123"],
+ capture_output=True,
+ )
+
+ def test_returns_false_when_session_missing(self) -> None:
+ with patch("factory.cli._tmux_commands.subprocess.run") as mock_run:
+ mock_run.return_value = MagicMock(returncode=1)
+ assert _tmux_session_alive("factory-app-abc123") is False
+
+
+class TestCmdTmuxCapture:
+ def test_captures_with_session_name(self) -> None:
+ args = argparse.Namespace(session="factory-app-abc123", path=None, lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.return_value = MagicMock(
+ returncode=0, stdout="line1\nline2\n",
+ )
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 0
+ mock_run.assert_called_once_with(
+ ["tmux", "capture-pane", "-t", "factory-app-abc123", "-p", "-S", "-100"],
+ capture_output=True,
+ text=True,
+ )
+ mock_print.assert_called_once_with("line1\nline2\n", end="")
+
+ def test_session_not_found(self) -> None:
+ args = argparse.Namespace(session="factory-gone-abc123", path=None, lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=False),
+ patch("builtins.print") as mock_print,
+ ):
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 1
+ mock_print.assert_called_once()
+ assert "not found" in mock_print.call_args[0][0]
+
+ def test_tmux_not_available(self) -> None:
+ args = argparse.Namespace(session="factory-app-abc123", path=None, lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=False),
+ patch("builtins.print") as mock_print,
+ ):
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 1
+ assert "not installed" in mock_print.call_args[0][0]
+
+ def test_no_session_or_path(self) -> None:
+ args = argparse.Namespace(session=None, path=None, lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("builtins.print") as mock_print,
+ ):
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 1
+ assert "specify" in mock_print.call_args[0][0]
+
+ def test_path_based_lookup_from_mapping(self) -> None:
+ args = argparse.Namespace(session=None, path="/tmp/myproject", lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={"factory-myproject-abc123": "/tmp/myproject"}),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print"),
+ ):
+ mock_run.return_value = MagicMock(returncode=0, stdout="output\n")
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 0
+ mock_run.assert_called_once_with(
+ ["tmux", "capture-pane", "-t", "factory-myproject-abc123", "-p", "-S", "-100"],
+ capture_output=True,
+ text=True,
+ )
+
+ def test_path_based_fallback_to_session_name(self) -> None:
+ args = argparse.Namespace(session=None, path="/tmp/unmapped", lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={}),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print"),
+ ):
+ mock_run.return_value = MagicMock(returncode=0, stdout="output\n")
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 0
+
+ def test_capture_pane_failure(self) -> None:
+ args = argparse.Namespace(session="factory-app-abc123", path=None, lines=-100)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.return_value = MagicMock(returncode=1, stdout="", stderr="error")
+ rc = cmd_tmux_capture(args)
+
+ assert rc == 1
+ assert "failed to capture" in mock_print.call_args[0][0]
+
+
+class TestCmdTmuxPostDispatchVerification:
+ def test_warns_when_error_markers_in_pane_output(self) -> None:
+ args = argparse.Namespace(
+ path="/tmp/myproject",
+ session=None,
+ mode="auto",
+ loop=False,
+ interval=1800,
+ max_cycles=None,
+ attach=False,
+ no_github=False,
+ model=None,
+ runner=None,
+ profile=None,
+ focus=None,
+ refine=None,
+ clean_pr=None,
+ prompt=None,
+ branch=None,
+ min_growth=None,
+ max_new=None,
+ discover_only=False,
+ bg_agents=False,
+ tmux_persist=False,
+ use_profile=False,
+ )
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._resolve_model", return_value=None),
+ patch("factory.cli._tmux_commands._save_tmux_session_mapping"),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=True),
+ patch("factory.cli._tmux_commands.time.sleep"),
+ patch("subprocess.run") as mock_run,
+ patch.dict("os.environ", {"PATH": "/usr/bin"}, clear=True),
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.side_effect = [
+ MagicMock(returncode=1), # has-session (not found)
+ MagicMock(returncode=0), # new-session
+ MagicMock(returncode=0, stdout="Error: something went wrong\n", stderr=""), # capture-pane
+ ]
+ rc = cmd_tmux(args)
+
+ assert rc == 0
+ stderr_calls = [c for c in mock_print.call_args_list if c[1].get("file") is sys.stderr]
+ assert any("may have errors" in str(c) for c in stderr_calls)
+
+ def test_returns_error_when_session_dies_immediately(self) -> None:
+ args = argparse.Namespace(
+ path="/tmp/myproject",
+ session=None,
+ mode="auto",
+ loop=False,
+ interval=1800,
+ max_cycles=None,
+ attach=False,
+ no_github=False,
+ model=None,
+ runner=None,
+ profile=None,
+ focus=None,
+ refine=None,
+ clean_pr=None,
+ prompt=None,
+ branch=None,
+ min_growth=None,
+ max_new=None,
+ discover_only=False,
+ bg_agents=False,
+ tmux_persist=False,
+ use_profile=False,
+ )
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._resolve_model", return_value=None),
+ patch("factory.cli._tmux_commands._save_tmux_session_mapping"),
+ patch("factory.cli._tmux_commands._tmux_session_alive", return_value=False),
+ patch("factory.cli._tmux_commands.time.sleep"),
+ patch("subprocess.run") as mock_run,
+ patch.dict("os.environ", {"PATH": "/usr/bin"}, clear=True),
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.side_effect = [
+ MagicMock(returncode=1), # has-session (not found)
+ MagicMock(returncode=0), # new-session
+ ]
+ rc = cmd_tmux(args)
+
+ assert rc == 1
+ stderr_calls = [c for c in mock_print.call_args_list if c[1].get("file") is sys.stderr]
+ assert any("exited immediately" in str(c) for c in stderr_calls)
+
+
+class TestCmdTmuxStopEdgeCases:
+ def test_tmux_not_available(self) -> None:
+ args = argparse.Namespace(session="factory-app-abc123", path=None, stop_all=False, force=False)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=False),
+ patch("builtins.print") as mock_print,
+ ):
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 1
+ assert "not installed" in mock_print.call_args[0][0]
+
+ def test_path_derives_session_name(self) -> None:
+ args = argparse.Namespace(session=None, path="/tmp/myproject", stop_all=False, force=False)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={}),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.return_value = MagicMock(returncode=1) # has-session → not found
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 1
+ assert any("not found" in str(c) for c in mock_print.call_args_list)
+
+ def test_session_not_found_in_tmux(self) -> None:
+ args = argparse.Namespace(session="factory-gone-abc123", path=None, stop_all=False, force=False)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.return_value = MagicMock(returncode=1) # has-session → not found
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 1
+ assert any("not found" in str(c) for c in mock_print.call_args_list)
+
+
+class TestCmdTmuxStopOwnership:
+ def test_warns_and_blocks_unregistered_session(self) -> None:
+ args = argparse.Namespace(session="factory-mystery-abc123", path=None, stop_all=False, force=False)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={}),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print") as mock_print,
+ ):
+ mock_run.return_value = MagicMock(returncode=0) # has-session
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 1
+ stderr_calls = [c for c in mock_print.call_args_list if c[1].get("file") is sys.stderr]
+ assert any("not in the factory session registry" in str(c) for c in stderr_calls)
+ kill_calls = [c for c in mock_run.call_args_list if "kill-session" in str(c)]
+ assert len(kill_calls) == 0
+
+ def test_force_kills_unregistered_session(self) -> None:
+ args = argparse.Namespace(session="factory-mystery-abc123", path=None, stop_all=False, force=True)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={}),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print"),
+ ):
+ mock_run.return_value = MagicMock(returncode=0)
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 0
+
+ def test_registered_session_killed_without_force(self) -> None:
+ args = argparse.Namespace(session="factory-app-abc123", path=None, stop_all=False, force=False)
+
+ with (
+ patch("factory.cli._tmux_commands._tmux_available", return_value=True),
+ patch("factory.cli._tmux_commands._load_tmux_session_mapping", return_value={"factory-app-abc123": "/tmp/app"}),
+ patch("subprocess.run") as mock_run,
+ patch("builtins.print"),
+ ):
+ mock_run.return_value = MagicMock(returncode=0)
+ rc = cmd_tmux_stop(args)
+
+ assert rc == 0
diff --git a/tests/test_tmux_e2e.py b/tests/test_tmux_e2e.py
index 2120f0492..73f3b308a 100644
--- a/tests/test_tmux_e2e.py
+++ b/tests/test_tmux_e2e.py
@@ -39,7 +39,7 @@ def _kill_test_sessions() -> None:
class TestTmuxSessionNameCollision:
def test_different_paths_same_basename(self, tmp_path: Path) -> None:
- from factory.cli import _tmux_session_name
+ from factory.cli._tmux_commands import _tmux_session_name
p1 = tmp_path / "a" / "myapp"
p2 = tmp_path / "b" / "myapp"
@@ -109,7 +109,7 @@ def test_tmux_stop_kills_specific_session(self, tmp_path: Path) -> None:
assert check.returncode == 0
result = subprocess.run(
- [sys.executable, "-m", "factory.cli", "tmux-stop", "--session", session],
+ [sys.executable, "-m", "factory.cli", "tmux-stop", "--session", session, "--force"],
capture_output=True, text=True,
cwd=str(tmp_path),
)
diff --git a/tests/test_tmux_persist.py b/tests/test_tmux_persist.py
index ee32527f1..a27fdb72d 100644
--- a/tests/test_tmux_persist.py
+++ b/tests/test_tmux_persist.py
@@ -251,11 +251,10 @@ async def test_creates_new_session_when_none_exists(self, tmp_path: Path) -> Non
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
- MagicMock(returncode=0), # new-session
+ MagicMock(returncode=0), # new-session succeeds
MagicMock(returncode=0), # send-keys /exit
]
@@ -284,11 +283,11 @@ async def test_creates_window_when_session_exists(self, tmp_path: Path) -> None:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=True),
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
- MagicMock(returncode=0), # new-window
+ MagicMock(returncode=1, stderr=b"duplicate session"), # new-session fails
+ MagicMock(returncode=0), # new-window fallback succeeds
MagicMock(returncode=0), # send-keys /exit
]
@@ -297,13 +296,49 @@ async def test_creates_window_when_session_exists(self, tmp_path: Path) -> None:
tmpdir.mkdir()
(tmpdir / "output.log").write_text("output")
- await run_in_tmux(
+ stdout, code, _ = await run_in_tmux(
"prompt", "task", project_path, "builder", project_path,
)
- new_window_call = mock_run.call_args_list[0]
- cmd = new_window_call[0][0]
- assert "new-window" in cmd
+ assert code == 0
+ first_call = mock_run.call_args_list[0]
+ assert "new-session" in first_call[0][0]
+ fallback_call = mock_run.call_args_list[1]
+ assert "new-window" in fallback_call[0][0]
+
+ async def test_race_condition_fallback_to_new_window(self, tmp_path: Path) -> None:
+ """When new-session fails (e.g. duplicate session from parallel agents), fall back to new-window."""
+ project_path = tmp_path / "my-project"
+ project_path.mkdir()
+
+ with (
+ patch("factory.runners._tmux_persist.subprocess.run") as mock_run,
+ patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
+ patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
+ patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
+ patch("factory.runners._tmux_persist._window_exists", return_value=False),
+ ):
+ mock_run.side_effect = [
+ MagicMock(returncode=1, stderr=b"duplicate session: factory-persist-my-project-abc123"),
+ MagicMock(returncode=0), # new-window fallback
+ MagicMock(returncode=0), # send-keys /exit
+ ]
+
+ with patch("factory.runners._tmux_persist.tempfile.mkdtemp", return_value=str(tmp_path / "tmp")):
+ tmpdir = tmp_path / "tmp"
+ tmpdir.mkdir()
+ (tmpdir / "output.log").write_text("race condition output")
+
+ stdout, code, _ = await run_in_tmux(
+ "prompt", "task", project_path, "researcher", project_path,
+ )
+
+ assert code == 0
+ assert "race condition output" in stdout
+ assert len(mock_run.call_args_list) == 3
+ assert "new-session" in mock_run.call_args_list[0][0][0]
+ assert "new-window" in mock_run.call_args_list[1][0][0]
+ assert "send-keys" in mock_run.call_args_list[2][0][0]
async def test_wrapper_script_includes_settings_and_trap(self, tmp_path: Path) -> None:
"""Verify the wrapper script has --settings flag and trap EXIT."""
@@ -324,7 +359,7 @@ def spy_write_text(self_path: Path, content: str, *args, **kwargs) -> None:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
patch.object(Path, "write_text", spy_write_text),
):
@@ -366,7 +401,7 @@ def spy_write_text(self_path: Path, content: str, *args, **kwargs) -> None:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
patch.object(Path, "write_text", spy_write_text),
):
@@ -395,10 +430,10 @@ async def test_returns_error_on_tmux_window_failure(self, tmp_path: Path) -> Non
with (
patch("factory.runners._tmux_persist.subprocess.run") as mock_run,
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
):
mock_run.side_effect = [
MagicMock(returncode=1, stderr=b"error"), # new-session fails
+ MagicMock(returncode=1, stderr=b"error"), # new-window fallback also fails
]
stdout, code, _ = await run_in_tmux(
@@ -415,7 +450,7 @@ async def test_timeout_kills_tmux_window(self, tmp_path: Path) -> None:
with (
patch("factory.runners._tmux_persist.subprocess.run") as mock_run,
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=False),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
):
mock_run.side_effect = [
MagicMock(returncode=0), # new-session
@@ -443,7 +478,7 @@ async def test_strips_ansi_from_output(self, tmp_path: Path) -> None:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
@@ -473,7 +508,7 @@ async def test_sends_exit_after_sentinel(self, tmp_path: Path) -> None:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
@@ -505,7 +540,7 @@ async def test_fallback_kill_window_when_window_still_alive(self, tmp_path: Path
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=True),
):
mock_run.side_effect = [
@@ -538,7 +573,7 @@ async def test_tmux_command_references_wrapper_script(self, tmp_path: Path) -> N
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", new_callable=AsyncMock, return_value=0),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
@@ -581,7 +616,7 @@ async def mock_wait_for_exitcode(exitcode_file: Path) -> int:
patch("factory.runners._tmux_persist._wait_for_sentinel", new_callable=AsyncMock, return_value=True),
patch("factory.runners._tmux_persist._wait_for_window_exit", new_callable=AsyncMock),
patch("factory.runners._tmux_persist._wait_for_exitcode", side_effect=mock_wait_for_exitcode),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=False),
):
mock_run.side_effect = [
@@ -625,7 +660,7 @@ def track_subprocess_run(cmd, *args, **kwargs):
with (
patch("factory.runners._tmux_persist.subprocess.run", side_effect=track_subprocess_run),
patch("factory.runners._tmux_persist._wait_for_sentinel", side_effect=sentinel_raises_cancelled),
- patch("factory.runners._tmux_persist._session_exists", return_value=False),
+
patch("factory.runners._tmux_persist._window_exists", return_value=True),
):
with patch("factory.runners._tmux_persist.tempfile.mkdtemp", return_value=str(tmp_path / "tmp")):
diff --git a/tests/test_user_config.py b/tests/test_user_config.py
index c081b49dc..46c3bbc4d 100644
--- a/tests/test_user_config.py
+++ b/tests/test_user_config.py
@@ -22,7 +22,7 @@ class TestResolve:
def test_cli_wins_over_all(self, config_dir: Path, monkeypatch: pytest.MonkeyPatch) -> None:
from factory.user_config import resolve
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
config_dir.write_text('[defaults]\nrunner = "vertex"')
result = resolve("runner", cli_value="claude", env_var="FACTORY_RUNNER",
config={"defaults": {"runner": "vertex"}}, default="fallback")
@@ -31,10 +31,10 @@ def test_cli_wins_over_all(self, config_dir: Path, monkeypatch: pytest.MonkeyPat
def test_env_wins_over_config(self, monkeypatch: pytest.MonkeyPatch) -> None:
from factory.user_config import resolve
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
result = resolve("runner", env_var="FACTORY_RUNNER",
config={"defaults": {"runner": "vertex"}}, default="fallback")
- assert result == "bob"
+ assert result == "alt"
def test_config_wins_over_default(self) -> None:
from factory.user_config import resolve
@@ -69,16 +69,16 @@ def test_none_when_nothing(self, monkeypatch: pytest.MonkeyPatch) -> None:
def test_empty_cli_value_skipped(self, monkeypatch: pytest.MonkeyPatch) -> None:
from factory.user_config import resolve
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
result = resolve("runner", cli_value="", env_var="FACTORY_RUNNER")
- assert result == "bob"
+ assert result == "alt"
def test_whitespace_cli_value_skipped(self, monkeypatch: pytest.MonkeyPatch) -> None:
from factory.user_config import resolve
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
result = resolve("runner", cli_value=" ", env_var="FACTORY_RUNNER")
- assert result == "bob"
+ assert result == "alt"
class TestLoadConfig:
@@ -90,9 +90,9 @@ def test_returns_empty_when_no_file(self, config_dir: Path) -> None:
def test_reads_toml(self, config_dir: Path) -> None:
from factory.user_config import load_config
- config_dir.write_text('[defaults]\nrunner = "bob"\nmodel = "opus"')
+ config_dir.write_text('[defaults]\nrunner = "alt"\nmodel = "opus"')
data = load_config()
- assert data["defaults"]["runner"] == "bob"
+ assert data["defaults"]["runner"] == "alt"
assert data["defaults"]["model"] == "opus"
def test_profile_injects_env_vars(
@@ -113,8 +113,8 @@ def test_profile_not_found_raises(self, config_dir: Path) -> None:
from factory.user_config import load_config
config_dir.write_text('[credentials.vertex]\nFACTORY_RUNNER = "claude"')
- with pytest.raises(KeyError, match="bob"):
- load_config(profile="bob")
+ with pytest.raises(KeyError, match="missing"):
+ load_config(profile="missing")
def test_profile_requires_file(self, config_dir: Path) -> None:
from factory.user_config import load_config
@@ -129,7 +129,7 @@ def test_valid_profile_name(self) -> None:
_validate_profile_name("vertex-ai")
_validate_profile_name("prod_1")
- _validate_profile_name("Bob")
+ _validate_profile_name("Prod")
def test_invalid_profile_name_raises(self) -> None:
from factory.user_config import _validate_profile_name
@@ -169,7 +169,7 @@ def test_is_sensitive(self) -> None:
assert is_sensitive("api_key")
assert is_sensitive("secret")
assert is_sensitive("password")
- assert is_sensitive("BOB_TOKEN")
+ assert is_sensitive("SERVICE_TOKEN")
assert not is_sensitive("runner")
assert not is_sensitive("model")
assert not is_sensitive("projects_dir")
@@ -245,7 +245,7 @@ def test_migrates_env_vars(
) -> None:
tomli_w = pytest.importorskip("tomli_w") # noqa: F841
- monkeypatch.setenv("FACTORY_RUNNER", "bob")
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
monkeypatch.setenv("FACTORY_MODEL", "opus")
monkeypatch.delenv("FACTORY_PROJECTS_DIR", raising=False)
@@ -258,7 +258,7 @@ def test_migrates_env_vars(
import tomllib
with open(config_dir, "rb") as f:
data = tomllib.load(f)
- assert data["defaults"]["runner"] == "bob"
+ assert data["defaults"]["runner"] == "alt"
assert data["defaults"]["model"] == "opus"
def test_refuses_if_file_exists(self, config_dir: Path) -> None:
@@ -294,22 +294,473 @@ def test_profile_then_resolve(
config_dir.write_text(
'[defaults]\nrunner = "claude"\n\n'
- '[credentials.vertex]\nFACTORY_RUNNER = "bob"'
+ '[credentials.vertex]\nFACTORY_RUNNER = "alt"'
)
monkeypatch.delenv("FACTORY_RUNNER", raising=False)
load_config(profile="vertex")
result = resolve("runner", env_var="FACTORY_RUNNER", default="claude")
- assert result == "bob"
+ assert result == "alt"
- def test_env_overrides_profile(
+ def test_profile_overrides_env(
self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
from factory.user_config import load_config, resolve
- config_dir.write_text('[credentials.vertex]\nFACTORY_RUNNER = "bob"')
+ config_dir.write_text('[credentials.vertex]\nFACTORY_RUNNER = "alt"')
monkeypatch.setenv("FACTORY_RUNNER", "claude")
load_config(profile="vertex")
result = resolve("runner", cli_value=None, env_var="FACTORY_RUNNER", default="fallback")
- assert result == "claude"
+ assert result == "alt"
+
+
+class TestEnvOverlay:
+ """Tests for profile env overlay: override, unset, protected vars."""
+
+ def test_profile_overrides_existing_env(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.test]\nFACTORY_RUNNER = "profile-value"'
+ )
+ monkeypatch.setenv("FACTORY_RUNNER", "original-value")
+ load_config(profile="test")
+ assert os.environ["FACTORY_RUNNER"] == "profile-value"
+
+ def test_unset_removes_env_var(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.test]\nFACTORY_RUNNER = "claude"\n\n'
+ '[credentials.test.unset]\n'
+ 'vars = ["CLAUDE_CODE_USE_VERTEX"]'
+ )
+ monkeypatch.setenv("CLAUDE_CODE_USE_VERTEX", "1")
+ load_config(profile="test")
+ assert "CLAUDE_CODE_USE_VERTEX" not in os.environ
+ assert os.environ["FACTORY_RUNNER"] == "claude"
+
+ def test_unset_missing_var_is_noop(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.test]\nFACTORY_RUNNER = "claude"\n\n'
+ '[credentials.test.unset]\n'
+ 'vars = ["NONEXISTENT_VAR_XYZ"]'
+ )
+ monkeypatch.delenv("NONEXISTENT_VAR_XYZ", raising=False)
+ load_config(profile="test")
+ assert "NONEXISTENT_VAR_XYZ" not in os.environ
+
+ def test_protected_var_set_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nPATH = "/evil/path"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_protected_var_unset_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.bad]\nFACTORY_RUNNER = "claude"\n\n'
+ '[credentials.bad.unset]\n'
+ 'vars = ["HOME"]'
+ )
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_unset_subtable_not_treated_as_credential(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.test]\nFACTORY_RUNNER = "claude"\n\n'
+ '[credentials.test.unset]\n'
+ 'vars = ["SOME_VAR"]'
+ )
+ monkeypatch.delenv("unset", raising=False)
+ load_config(profile="test")
+ assert "unset" not in os.environ
+
+ def test_unset_before_set_order(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ """If a var appears in both set and unset, set wins (runs second)."""
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.test]\nMY_VAR = "set-value"\n\n'
+ '[credentials.test.unset]\n'
+ 'vars = ["MY_VAR"]'
+ )
+ monkeypatch.setenv("MY_VAR", "original")
+ load_config(profile="test")
+ assert os.environ["MY_VAR"] == "set-value"
+
+ def test_show_config_handles_nested_subtables(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[credentials.custom]\n'
+ 'FACTORY_RUNNER = "claude"\n\n'
+ '[credentials.custom.unset]\n'
+ 'vars = ["CLAUDE_CODE_USE_VERTEX"]'
+ )
+ output = show_config()
+ assert "[credentials.custom]" in output
+ assert "claude" in output
+ assert "unset" in output.lower()
+
+
+class TestHardenedProtectedVars:
+ """Tests for expanded protected variable list."""
+
+ def test_protected_var_ld_preload_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nLD_PRELOAD = "/evil/lib.so"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_protected_var_pythonpath_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nPYTHONPATH = "/evil"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_protected_var_ifs_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nIFS = "x"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_protected_var_dyld_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nDYLD_INSERT_LIBRARIES = "/evil"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+ def test_protected_var_factory_trace_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text('[credentials.bad]\nFACTORY_TRACE_ID = "injected"')
+ with pytest.raises(ValueError, match="protected variable"):
+ load_config(profile="bad")
+
+
+class TestUnsetVarsValidation:
+ """Tests for unset.vars type validation."""
+
+ def test_unset_vars_string_not_list_raises(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from factory.user_config import load_config
+
+ config_dir.write_text(
+ '[credentials.bad]\nFACTORY_RUNNER = "claude"\n\n'
+ '[credentials.bad.unset]\n'
+ 'vars = "not-a-list"'
+ )
+ with pytest.raises(ValueError, match="must be a list"):
+ load_config(profile="bad")
+
+
+class TestOverrideWarning:
+ """Tests for structured log warning on env var override."""
+
+ def test_override_logs_warning(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ from unittest.mock import MagicMock
+
+ config_dir.write_text('[credentials.test]\nFACTORY_RUNNER = "new-value"')
+ monkeypatch.setenv("FACTORY_RUNNER", "old-value")
+
+ mock_log = MagicMock()
+ monkeypatch.setattr("factory.user_config.log", mock_log)
+
+ from factory.user_config import load_config
+ load_config(profile="test")
+
+ mock_log.warning.assert_any_call(
+ "profile_override", key="FACTORY_RUNNER", profile="test"
+ )
+
+
+class TestShowConfigMasksNestedSecrets:
+ """Tests for masking sensitive values in nested sub-tables."""
+
+ def test_show_config_masks_nested_secrets(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[credentials.custom]\n'
+ 'FACTORY_RUNNER = "claude"\n\n'
+ '[credentials.custom.secrets]\n'
+ 'api_key = "super-secret-key-1234"\n'
+ 'name = "visible"'
+ )
+ output = show_config()
+ assert "super-secret-key-1234" not in output
+ assert "1234" in output
+ assert "visible" in output
+
+
+class TestResolveEmptyTomlValue:
+ """Cover the branch where toml_val is not None but strips to empty string."""
+
+ def test_empty_toml_value_falls_through_to_default(self) -> None:
+ from factory.user_config import resolve
+
+ # toml_val is "" -> strip -> empty -> skip -> use default
+ result = resolve("runner", config={"defaults": {"runner": ""}}, default="fallback")
+ assert result == "fallback"
+
+ def test_whitespace_toml_value_falls_through_to_default(self) -> None:
+ from factory.user_config import resolve
+
+ result = resolve("runner", config={"defaults": {"runner": " "}}, default="fallback")
+ assert result == "fallback"
+
+ def test_none_default_when_toml_value_empty(self) -> None:
+ from factory.user_config import resolve
+
+ result = resolve("runner", config={"defaults": {"runner": ""}})
+ assert result is None
+
+
+class TestShowConfigCredentialsAndOtherSections:
+ """Cover show_config paths: credentials sections and 'other sections'."""
+
+ def test_show_config_masks_sensitive_in_defaults(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[defaults]\nrunner = "claude"\napi_key = "sk-secret-value-1234"'
+ )
+ output = show_config()
+ assert "claude" in output
+ # The api_key should be masked in defaults
+ assert "sk-secret-value-1234" not in output
+ assert "1234" in output
+ assert "****" in output
+
+ def test_show_config_reveal_shows_sensitive_in_defaults(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[defaults]\napi_key = "sk-secret-value-1234"'
+ )
+ output = show_config(reveal=True)
+ assert "sk-secret-value-1234" in output
+
+ def test_show_config_other_sections(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[defaults]\nrunner = "claude"\n\n'
+ '[custom_section]\nfoo = "bar"\nmy_secret_key = "hidden-9999"'
+ )
+ output = show_config()
+ # Other section should appear
+ assert "[custom_section]" in output
+ assert "foo = bar" in output
+ # Sensitive key in other section should be masked
+ assert "hidden-9999" not in output
+ assert "9999" in output
+
+ def test_show_config_other_section_reveal(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[custom_section]\nmy_secret_key = "hidden-9999"'
+ )
+ output = show_config(reveal=True)
+ assert "hidden-9999" in output
+
+ def test_show_config_non_dict_section_rendered(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ # A top-level section that is not defaults or credentials should be rendered
+ config_dir.write_text(
+ '[defaults]\nrunner = "claude"\n\n'
+ '[other]\nfoo = "val"'
+ )
+ output = show_config()
+ assert "[other]" in output
+ assert "foo = val" in output
+
+ def test_show_config_multiple_credential_profiles(self, config_dir: Path) -> None:
+ from factory.user_config import show_config
+
+ config_dir.write_text(
+ '[credentials.vertex]\nANTHROPIC_API_KEY = "sk-vert-1234"\n\n'
+ '[credentials.staging]\nSTAGING_API_KEY = "sk-staging-5678"'
+ )
+ output = show_config()
+ assert "[credentials.vertex]" in output
+ assert "[credentials.staging]" in output
+ # Both keys should be masked
+ assert "sk-vert-1234" not in output
+ assert "sk-staging-5678" not in output
+ assert "1234" in output
+ assert "5678" in output
+
+
+class TestMigrateEnvToConfigMocked:
+ """Cover migrate_env_to_config with mocked tomli_w (since it's not installed)."""
+
+ def test_migrate_with_mocked_tomli_w(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ import sys
+ from unittest.mock import MagicMock
+
+ # Mock tomli_w module
+ mock_tomli_w = MagicMock()
+ mock_tomli_w.dumps.return_value = '[defaults]\nrunner = "alt"\n'
+ monkeypatch.setitem(sys.modules, "tomli_w", mock_tomli_w)
+
+ # Clear all FACTORY_* env vars that migrate_env_to_config looks for
+ for key in (
+ "FACTORY_RUNNER", "FACTORY_MODEL", "FACTORY_PROJECTS_DIR",
+ "FACTORY_VAULT_PATH", "FACTORY_PLAYBOOKS_DIR", "FACTORY_REGISTRY_DIR",
+ "FACTORY_MANAGED_DIRS", "FACTORY_RUNNER_QUIET", "FACTORY_CEO_RESPAWN_DISABLED",
+ "FACTORY_CEO_MAX_RESPAWNS",
+ ):
+ monkeypatch.delenv(key, raising=False)
+ monkeypatch.setenv("FACTORY_RUNNER", "alt")
+ monkeypatch.setenv("FACTORY_MODEL", "opus")
+
+ from factory.user_config import migrate_env_to_config
+
+ msg = migrate_env_to_config()
+ assert "Migrated 2 env var(s)" in msg
+ assert config_dir.exists()
+
+ # Verify tomli_w.dumps was called with the right structure
+ call_args = mock_tomli_w.dumps.call_args[0][0]
+ assert "defaults" in call_args
+ assert call_args["defaults"]["runner"] == "alt"
+ assert call_args["defaults"]["model"] == "opus"
+
+ def test_migrate_no_env_vars_set(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ import sys
+ from unittest.mock import MagicMock
+
+ mock_tomli_w = MagicMock()
+ mock_tomli_w.dumps.return_value = ""
+ monkeypatch.setitem(sys.modules, "tomli_w", mock_tomli_w)
+
+ # Clear all FACTORY_ env vars
+ for key in [
+ "FACTORY_RUNNER", "FACTORY_MODEL", "FACTORY_PROJECTS_DIR",
+ "FACTORY_VAULT_PATH", "FACTORY_PLAYBOOKS_DIR", "FACTORY_REGISTRY_DIR",
+ "FACTORY_MANAGED_DIRS", "FACTORY_RUNNER_QUIET", "FACTORY_CEO_RESPAWN_DISABLED",
+ "FACTORY_CEO_MAX_RESPAWNS",
+ ]:
+ monkeypatch.delenv(key, raising=False)
+
+ from factory.user_config import migrate_env_to_config
+
+ msg = migrate_env_to_config()
+ assert "0" in msg
+
+ # Should have been called with empty data (no defaults section)
+ call_args = mock_tomli_w.dumps.call_args[0][0]
+ assert call_args == {}
+
+ def test_migrate_refuses_existing_file(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ import sys
+ from unittest.mock import MagicMock
+
+ mock_tomli_w = MagicMock()
+ monkeypatch.setitem(sys.modules, "tomli_w", mock_tomli_w)
+
+ config_dir.parent.mkdir(parents=True, exist_ok=True)
+ config_dir.write_text("existing")
+
+ from factory.user_config import migrate_env_to_config
+
+ with pytest.raises(FileExistsError, match="already exists"):
+ migrate_env_to_config()
+
+ def test_migrate_import_error_without_tomli_w(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ import sys
+
+ # Ensure tomli_w is NOT importable
+ monkeypatch.delitem(sys.modules, "tomli_w", raising=False)
+
+ # Mock the import to raise ImportError
+ import builtins
+ original_import = builtins.__import__
+
+ def mock_import(name, *args, **kwargs):
+ if name == "tomli_w":
+ raise ImportError("No module named 'tomli_w'")
+ return original_import(name, *args, **kwargs)
+
+ monkeypatch.setattr(builtins, "__import__", mock_import)
+
+ from factory.user_config import migrate_env_to_config
+
+ with pytest.raises(ImportError, match="tomli_w is required"):
+ migrate_env_to_config()
+
+ def test_migrate_secure_permissions(
+ self, config_dir: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ import stat
+ import sys
+ from unittest.mock import MagicMock
+
+ mock_tomli_w = MagicMock()
+ mock_tomli_w.dumps.return_value = '[defaults]\nrunner = "claude"\n'
+ monkeypatch.setitem(sys.modules, "tomli_w", mock_tomli_w)
+
+ for key in (
+ "FACTORY_RUNNER", "FACTORY_MODEL", "FACTORY_PROJECTS_DIR",
+ "FACTORY_VAULT_PATH", "FACTORY_PLAYBOOKS_DIR", "FACTORY_REGISTRY_DIR",
+ "FACTORY_MANAGED_DIRS", "FACTORY_RUNNER_QUIET", "FACTORY_CEO_RESPAWN_DISABLED",
+ "FACTORY_CEO_MAX_RESPAWNS",
+ ):
+ monkeypatch.delenv(key, raising=False)
+ monkeypatch.setenv("FACTORY_RUNNER", "claude")
+
+ from factory.user_config import migrate_env_to_config
+
+ migrate_env_to_config()
+ mode = stat.S_IMODE(config_dir.stat().st_mode)
+ assert mode == 0o600
diff --git a/tests/test_vault_decouple.py b/tests/test_vault_decouple.py
index 1569aac70..f0f4ab478 100644
--- a/tests/test_vault_decouple.py
+++ b/tests/test_vault_decouple.py
@@ -172,7 +172,7 @@ class TestResolveInputWithoutVault:
"""_resolve_input works for directory and prompt inputs."""
def test_existing_dir_works(self, tmp_path: Path) -> None:
- from factory.cli import _resolve_input
+ from factory.cli._path_resolver import _resolve_input
project = tmp_path / "my-project"
project.mkdir()
@@ -183,10 +183,10 @@ def test_existing_dir_works(self, tmp_path: Path) -> None:
def test_raw_prompt_creates_project(
self, monkeypatch: pytest.MonkeyPatch, tmp_path: Path,
) -> None:
- import factory.cli as cli_mod
- from factory.cli import _materialize_project, _resolve_input
+ import factory.cli._path_resolver as pr_mod
+ from factory.cli._path_resolver import _materialize_project, _resolve_input
- monkeypatch.setattr(cli_mod, "_get_projects_dir", lambda: tmp_path)
+ monkeypatch.setattr(pr_mod, "_get_projects_dir", lambda: tmp_path)
path, ctx = _resolve_input("build a weather dashboard")
assert path.parent == tmp_path
assert not path.exists()
@@ -198,10 +198,10 @@ def test_raw_prompt_creates_project(
def test_idea_file(
self, monkeypatch: pytest.MonkeyPatch, tmp_path: Path,
) -> None:
- import factory.cli as cli_mod
- from factory.cli import _resolve_input
+ import factory.cli._path_resolver as pr_mod
+ from factory.cli._path_resolver import _resolve_input
- monkeypatch.setattr(cli_mod, "_get_projects_dir", lambda: tmp_path / "projects")
+ monkeypatch.setattr(pr_mod, "_get_projects_dir", lambda: tmp_path / "projects")
idea_file = tmp_path / "Weather Dashboard \u2014 live forecast.md"
idea_file.write_text("# Weather Dashboard\nShow forecasts.")
diff --git a/tests/test_verification.py b/tests/test_verification.py
new file mode 100644
index 000000000..eac903a5a
--- /dev/null
+++ b/tests/test_verification.py
@@ -0,0 +1,561 @@
+"""Tests for factory.workflow.verification — artifact verification engine."""
+
+from __future__ import annotations
+
+import json
+import stat
+from pathlib import Path
+
+import pytest
+
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ ArtifactCheck,
+ Edge,
+ Workflow,
+)
+from factory.workflow.verification import (
+ checks_to_bash,
+ compile_agent_verification,
+ compile_fork_verification,
+ generate_hook_script,
+ generate_verification_settings,
+ write_verification_hooks,
+)
+
+
+# ── ArtifactCheck model ──────────────────────────────────────────
+
+
+class TestArtifactCheck:
+ def test_creation(self) -> None:
+ check = ArtifactCheck(path=".factory/strategy/current.md")
+ assert check.path == ".factory/strategy/current.md"
+ assert check.must_exist is True
+ assert check.min_size == 0
+ assert check.must_contain == []
+
+ def test_serialization(self) -> None:
+ check = ArtifactCheck(
+ path="output.md", must_exist=True, min_size=100,
+ must_contain=["## Strategy"],
+ )
+ data = check.model_dump()
+ assert data["path"] == "output.md"
+ assert data["min_size"] == 100
+ roundtrip = ArtifactCheck.model_validate(data)
+ assert roundtrip == check
+
+ def test_strict_validation_rejects_extra_fields(self) -> None:
+ with pytest.raises(Exception):
+ ArtifactCheck(path="x.md", unknown_field="bad") # type: ignore[call-arg]
+
+
+# ── AgentNode with post_checks ───────────────────────────────────
+
+
+class TestAgentNodePostChecks:
+ def test_default_empty(self) -> None:
+ node = AgentNode(id="test", role=AgentRole.BUILDER)
+ assert node.post_checks == []
+
+ def test_explicit_list(self) -> None:
+ checks = [ArtifactCheck(path="a.md"), ArtifactCheck(path="b.md", min_size=50)]
+ node = AgentNode(id="test", role=AgentRole.BUILDER, post_checks=checks)
+ assert len(node.post_checks) == 2
+ assert node.post_checks[0].path == "a.md"
+
+ def test_serialization_roundtrip(self) -> None:
+ checks = [ArtifactCheck(path="out.md", must_contain=["## Done"])]
+ node = AgentNode(id="test", role=AgentRole.BUILDER, post_checks=checks)
+ data = node.model_dump(mode="json")
+ restored = AgentNode.model_validate(data, strict=False)
+ assert restored.post_checks == checks
+
+
+# ── checks_to_bash ───────────────────────────────────────────────
+
+
+class TestChecksToBash:
+ def test_must_exist(self) -> None:
+ checks = [ArtifactCheck(path="output.md")]
+ result = checks_to_bash(checks, "builder")
+ assert '[ ! -f "$_f" ]' in result
+ assert "VERIFY FAIL" in result
+ assert 'VERIFY OK: builder' in result
+
+ def test_min_size(self) -> None:
+ checks = [ArtifactCheck(path="output.md", min_size=100)]
+ result = checks_to_bash(checks, "node1")
+ assert "wc -c" in result
+ assert "100" in result
+
+ def test_must_contain(self) -> None:
+ checks = [ArtifactCheck(path="x.md", must_contain=["## Strategy", "### Hypotheses"])]
+ result = checks_to_bash(checks, "strat")
+ assert "grep -qE" in result
+ # Both sentinels should be in the pattern (pipe-delimited for AND)
+ assert "Strategy" in result
+ assert "Hypotheses" in result
+
+ def test_vfail_tracking(self) -> None:
+ checks = [ArtifactCheck(path="a.md")]
+ result = checks_to_bash(checks, "test")
+ assert "_vfail=0" in result
+ assert "_vfail=1" in result
+ assert 'exit 1' in result
+
+ def test_verify_ok_on_success(self) -> None:
+ checks = [ArtifactCheck(path="a.md")]
+ result = checks_to_bash(checks, "mynode")
+ assert 'VERIFY OK: mynode artifacts validated' in result
+
+
+# ── compile_agent_verification ───────────────────────────────────
+
+
+class TestCompileAgentVerification:
+ def test_non_blocking_returns_none(self) -> None:
+ node = AgentNode(
+ id="arch", role=AgentRole.ARCHIVIST, blocking=False,
+ writes={".factory/archive/plan.md"},
+ )
+ assert compile_agent_verification(node) is None
+
+ def test_no_writes_no_checks_returns_none(self) -> None:
+ node = AgentNode(id="empty", role=AgentRole.BUILDER)
+ assert compile_agent_verification(node) is None
+
+ def test_auto_generates_from_writes(self) -> None:
+ node = AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ )
+ result = compile_agent_verification(node)
+ assert result is not None
+ assert "builder-latest.md" in result
+ assert "VERIFY OK" in result
+
+ def test_uses_post_checks_when_provided(self) -> None:
+ node = AgentNode(
+ id="strat", role=AgentRole.STRATEGIST,
+ writes={".factory/strategy/current.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/strategy/current.md",
+ must_contain=["## Strategy"],
+ min_size=100,
+ ),
+ ],
+ )
+ result = compile_agent_verification(node)
+ assert result is not None
+ assert "## Strategy" in result
+ assert "100" in result
+
+
+# ── compile_fork_verification ────────────────────────────────────
+
+
+class TestCompileForkVerification:
+ def test_combines_multiple_nodes(self) -> None:
+ nodes = [
+ AgentNode(
+ id="r1", role=AgentRole.RESEARCHER,
+ writes={".factory/strategy/research-similar.md"},
+ ),
+ AgentNode(
+ id="r2", role=AgentRole.RESEARCHER,
+ writes={".factory/strategy/research-techstack.md"},
+ ),
+ ]
+ result = compile_fork_verification(nodes)
+ assert result is not None
+ assert "r1" in result
+ assert "r2" in result
+ assert "research-similar.md" in result
+ assert "research-techstack.md" in result
+
+ def test_returns_none_when_no_writes(self) -> None:
+ nodes = [
+ AgentNode(id="r1", role=AgentRole.RESEARCHER),
+ ]
+ assert compile_fork_verification(nodes) is None
+
+
+# ── generate_hook_script ─────────────────────────────────────────
+
+
+class TestGenerateHookScript:
+ def _make_workflow(self) -> Workflow:
+ return Workflow(
+ name="test",
+ nodes={
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "health_checker": AgentNode(
+ id="health_checker", role=AgentRole.HEALTH_CHECKER,
+ writes={".factory/reviews/health-check.md"},
+ ),
+ },
+ edges=[Edge(source="builder", target="health_checker")],
+ start_node="builder",
+ )
+
+ def test_produces_valid_bash(self) -> None:
+ script = generate_hook_script(self._make_workflow())
+ assert script.startswith("#!/usr/bin/env bash")
+ assert "factory agent builder" in script
+ assert "factory agent health_checker" in script
+ assert "if" in script
+ assert "elif" in script
+ assert "fi" in script
+ assert "hook-log.txt" in script
+
+ def test_logs_every_invocation(self) -> None:
+ script = generate_hook_script(self._make_workflow())
+ assert "HOOK_FIRED" in script
+ assert 'HOOK_FIRED command=$_COMMAND' in script
+
+ def test_logs_verify_ok(self) -> None:
+ script = generate_hook_script(self._make_workflow())
+ assert "VERIFY_OK node=builder" in script
+ assert "VERIFY_OK node=health_checker" in script
+
+ def test_logs_verify_fail(self) -> None:
+ script = generate_hook_script(self._make_workflow())
+ assert "VERIFY_FAIL node=builder" in script
+ assert "VERIFY_FAIL node=health_checker" in script
+
+ def test_reads_stdin_json(self) -> None:
+ script = generate_hook_script(self._make_workflow())
+ assert "_HOOK_INPUT=$(cat)" in script
+ assert "jq" in script
+
+ def test_empty_workflow_returns_empty(self) -> None:
+ wf = Workflow(
+ name="empty",
+ nodes={
+ "arch": AgentNode(
+ id="arch", role=AgentRole.ARCHIVIST, blocking=False,
+ ),
+ },
+ edges=[],
+ start_node="arch",
+ )
+ assert generate_hook_script(wf) == ""
+
+
+# ── generate_verification_settings ───────────────────────────────
+
+
+class TestGenerateVerificationSettings:
+ def test_correct_structure(self) -> None:
+ from pathlib import Path as P
+ wf = Workflow(
+ name="test", nodes={}, edges=[], start_node="x",
+ )
+ settings = generate_verification_settings(wf, P("/tmp/hook.sh"))
+ assert "hooks" in settings
+ assert "PostToolUse" in settings["hooks"]
+ hook_entry = settings["hooks"]["PostToolUse"][0]
+ assert hook_entry["matcher"] == "Bash"
+ assert hook_entry["hooks"][0]["command"] == "/tmp/hook.sh"
+ assert hook_entry["hooks"][0]["timeout"] == 30
+
+
+# ── write_verification_hooks ─────────────────────────────────────
+
+
+class TestWriteVerificationHooks:
+ def test_creates_files(self, tmp_path: object) -> None:
+ import pathlib
+ target = pathlib.Path(str(tmp_path))
+ wf = Workflow(
+ name="build",
+ nodes={
+ "builder": AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[],
+ start_node="builder",
+ )
+ result = write_verification_hooks(wf, target)
+ assert result is not None
+ assert result.exists()
+
+ # Check hook script exists and is executable
+ script_path = target / ".factory" / "hooks" / "verify-build.sh"
+ assert script_path.exists()
+ assert script_path.stat().st_mode & stat.S_IXUSR
+
+ # Check settings JSON is valid
+ settings_data = json.loads(result.read_text())
+ assert "hooks" in settings_data
+
+ def test_returns_none_when_no_checks(self, tmp_path: object) -> None:
+ import pathlib
+ target = pathlib.Path(str(tmp_path))
+ wf = Workflow(
+ name="empty",
+ nodes={
+ "arch": AgentNode(
+ id="arch", role=AgentRole.ARCHIVIST, blocking=False,
+ ),
+ },
+ edges=[],
+ start_node="arch",
+ )
+ assert write_verification_hooks(wf, target) is None
+
+
+# ── Layer 1: skill_export inline verification ────────────────────
+
+
+class TestSkillExportVerification:
+ def test_agent_blocking_with_post_checks_emits_verification(self) -> None:
+ from factory.workflow.skill_export import _agent_to_instruction
+
+ node = AgentNode(
+ id="strategist", role=AgentRole.STRATEGIST,
+ writes={".factory/strategy/current.md"},
+ post_checks=[
+ ArtifactCheck(
+ path=".factory/strategy/current.md",
+ must_contain=["## Strategy"],
+ ),
+ ],
+ )
+ wf = Workflow(
+ name="test", nodes={"strategist": node}, edges=[], start_node="strategist",
+ )
+ result = _agent_to_instruction(node, wf)
+ assert "VERIFY OK" in result
+ assert "harness verification" in result
+ assert "DO NOT SKIP" in result
+
+ def test_agent_non_blocking_no_verification(self) -> None:
+ from factory.workflow.skill_export import _agent_to_instruction
+
+ node = AgentNode(
+ id="arch", role=AgentRole.ARCHIVIST, blocking=False,
+ writes={".factory/archive/plan.md"},
+ )
+ wf = Workflow(
+ name="test", nodes={"arch": node}, edges=[], start_node="arch",
+ )
+ result = _agent_to_instruction(node, wf)
+ assert "VERIFY OK" not in result
+ assert "fire-and-forget" in result
+
+ def test_agent_blocking_with_writes_auto_generates(self) -> None:
+ from factory.workflow.skill_export import _agent_to_instruction
+
+ node = AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ )
+ wf = Workflow(
+ name="test", nodes={"builder": node}, edges=[], start_node="builder",
+ )
+ result = _agent_to_instruction(node, wf)
+ assert "VERIFY OK" in result
+ assert "builder-latest.md" in result
+
+ def test_fork_with_parallel_agents_emits_post_barrier(self) -> None:
+ from factory.workflow.primitives import ForkNode
+ from factory.workflow.skill_export import _fork_to_instruction
+
+ r1 = AgentNode(
+ id="r1", role=AgentRole.RESEARCHER,
+ writes={".factory/strategy/research-similar.md"},
+ )
+ r2 = AgentNode(
+ id="r2", role=AgentRole.RESEARCHER,
+ writes={".factory/strategy/research-techstack.md"},
+ )
+ fork = ForkNode(id="fork_research", targets=["r1", "r2"])
+ wf = Workflow(
+ name="test",
+ nodes={"fork_research": fork, "r1": r1, "r2": r2},
+ edges=[
+ Edge(source="fork_research", target="r1"),
+ Edge(source="fork_research", target="r2"),
+ ],
+ start_node="fork_research",
+ )
+ result = _fork_to_instruction(fork, wf)
+ assert "post-barrier harness verification" in result
+ assert "VERIFY OK" in result
+
+ def test_workflow_to_skill_md_contains_verification(self) -> None:
+ from factory.workflow.skill_export import workflow_to_skill_md
+
+ node = AgentNode(
+ id="builder", role=AgentRole.BUILDER,
+ writes={".factory/reviews/builder-latest.md"},
+ post_checks=[ArtifactCheck(path=".factory/reviews/builder-latest.md")],
+ )
+ wf = Workflow(
+ name="build",
+ nodes={"builder": node},
+ edges=[],
+ start_node="builder",
+ )
+ result = workflow_to_skill_md(wf)
+ assert "VERIFY OK" in result
+ assert "VERIFY FAIL" in result
+
+
+# ── Layer 2: ClaudeRunner settings_file ──────────────────────────
+
+
+class TestClaudeRunnerSettingsFile:
+ def test_build_command_includes_settings(self) -> None:
+ from factory.models import AgentRunRequest
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ request = AgentRunRequest(
+ prompt="test", task="do something", cwd=Path("/tmp"),
+ extras={"settings_file": "/tmp/settings.json"},
+ )
+ cmd, _env, temp_files = runner.build_command(request)
+ try:
+ assert "--settings" in cmd
+ idx = cmd.index("--settings")
+ assert cmd[idx + 1] == "/tmp/settings.json"
+ finally:
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_build_command_omits_settings_when_absent(self) -> None:
+ from factory.models import AgentRunRequest
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ request = AgentRunRequest(
+ prompt="test", task="do something", cwd=Path("/tmp"),
+ )
+ cmd, _env, temp_files = runner.build_command(request)
+ try:
+ assert "--settings" not in cmd
+ finally:
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+ def test_build_interactive_command_includes_settings(self) -> None:
+ from factory.models import AgentRunRequest
+ from factory.runners.claude import ClaudeRunner
+
+ runner = ClaudeRunner()
+ request = AgentRunRequest(
+ prompt="test", task="do something", cwd=Path("/tmp"),
+ extras={"settings_file": "/tmp/settings.json"},
+ )
+ cmd, _env, temp_files = runner.build_interactive_command(request)
+ try:
+ assert "--settings" in cmd
+ idx = cmd.index("--settings")
+ assert cmd[idx + 1] == "/tmp/settings.json"
+ finally:
+ for f in temp_files:
+ f.unlink(missing_ok=True)
+
+
+# ── Layer 2: invoke_agent settings_file ──────────────────────────
+
+
+class TestInvokeAgentSettingsFile:
+ def test_signature_accepts_settings_file(self) -> None:
+ import inspect
+ from factory.agents.runner import invoke_agent
+
+ sig = inspect.signature(invoke_agent)
+ assert "settings_file" in sig.parameters
+
+ def test_ceo_completion_accepts_settings_file(self) -> None:
+ import inspect
+ from factory.ceo_completion import run_ceo_with_completion_guard
+
+ sig = inspect.signature(run_ceo_with_completion_guard)
+ assert "settings_file" in sig.parameters
+
+
+# ── H4: Design workflow annotations ─────────────────────────────
+
+
+class TestDesignWorkflowAnnotations:
+ def test_build_workflow_has_post_checks(self) -> None:
+ from factory.workflow.definitions import build_workflow
+
+ wf = build_workflow()
+ # Researchers
+ for nid in ("researcher_similar", "researcher_techstack", "researcher_pitfalls"):
+ node = wf.nodes[nid]
+ assert isinstance(node, AgentNode)
+ assert len(node.post_checks) > 0, f"{nid} should have post_checks"
+
+ # Strategist — sentinels match real output structure
+ strat = wf.nodes["strategist"]
+ assert isinstance(strat, AgentNode)
+ assert len(strat.post_checks) > 0
+ assert strat.post_checks[0].min_size == 200
+ assert "### Phase 1" in strat.post_checks[0].must_contain
+ assert "### Architecture" in strat.post_checks[0].must_contain
+
+ # Builder — validates real agent output, not just auto-header
+ builder = wf.nodes["builder"]
+ assert isinstance(builder, AgentNode)
+ assert len(builder.post_checks) > 0
+ assert builder.post_checks[0].min_size == 500
+ assert "commit" in builder.post_checks[0].must_contain
+
+ # Deep-QA subgraph replaced monolithic QA — verify subgraph nodes exist
+ assert "health_checker" in wf.nodes
+ assert "code_reviewer" in wf.nodes
+ assert "adversarial_tester" in wf.nodes
+
+ def test_design_workflow_inherits_post_checks(self) -> None:
+ from factory.workflow.definitions import design_workflow
+
+ wf = design_workflow()
+ # Design inherits from build — verify inherited sentinel values
+ strat = wf.nodes["strategist"]
+ assert isinstance(strat, AgentNode)
+ assert len(strat.post_checks) > 0
+ assert "### Phase 1" in strat.post_checks[0].must_contain
+ assert "### Architecture" in strat.post_checks[0].must_contain
+
+ builder = wf.nodes["builder"]
+ assert isinstance(builder, AgentNode)
+ assert len(builder.post_checks) > 0
+ assert "commit" in builder.post_checks[0].must_contain
+
+ # Deep-QA subgraph replaced monolithic QA
+ assert "health_checker" in wf.nodes
+ assert "code_reviewer" in wf.nodes
+ assert "adversarial_tester" in wf.nodes
+
+ def test_design_skill_md_contains_verification(self) -> None:
+ from factory.workflow.definitions import design_workflow
+ from factory.workflow.skill_export import workflow_to_skill_md
+
+ wf = design_workflow()
+ result = workflow_to_skill_md(wf)
+ assert "VERIFY OK" in result
+ assert "harness verification" in result
+
+ def test_design_hook_script_has_role_branches(self) -> None:
+ from factory.workflow.definitions import design_workflow
+
+ wf = design_workflow()
+ script = generate_hook_script(wf)
+ assert script # non-empty
+ assert "factory agent strategist" in script
+ assert "factory agent health_checker" in script or "factory agent code_reviewer" in script
diff --git a/tests/test_visualizer.py b/tests/test_visualizer.py
index 2f3066ca6..b0e06cacf 100644
--- a/tests/test_visualizer.py
+++ b/tests/test_visualizer.py
@@ -46,11 +46,11 @@ def test_agent_completed_removes_from_active(self):
def test_agent_failed_removes_from_active(self):
events = [
- _event("agent.started", agent="qa", data={"task": "review code"}),
- _event("agent.failed", agent="qa"),
+ _event("agent.started", agent="code_reviewer", data={"task": "review code"}),
+ _event("agent.failed", agent="code_reviewer"),
]
state = infer_state(events)
- assert "qa" not in state.active_agents
+ assert "code_reviewer" not in state.active_agents
def test_agent_timeout_removes_from_active(self):
events = [
@@ -80,7 +80,7 @@ def test_task_truncated_to_100_chars(self):
class TestPhaseInference:
def test_detect_phase(self):
state = infer_state([_event("detect", data={"state": "new"})])
- assert state.current_phase == "Research"
+ assert state.current_phase == "Detect"
assert state.current_mode == "Build"
def test_discover_phase(self):
@@ -92,7 +92,10 @@ def test_agent_sets_phase(self):
("researcher", "Research"),
("strategist", "Strategize"),
("builder", "Build"),
- ("qa", "QA"),
+ ("qa", "Review"),
+ ("health_checker", "Review"),
+ ("code_reviewer", "Review"),
+ ("adversarial_tester", "Review"),
("archivist", "Archive"),
]
for agent, expected_phase in cases:
@@ -177,7 +180,7 @@ class TestUpdateState:
def test_incremental_update(self):
state = FactoryLiveState()
state = update_state(state, _event("detect", data={"state": "new"}))
- assert state.current_phase == "Research"
+ assert state.current_phase == "Detect"
assert state.current_mode == "Build"
state = update_state(state, _event("agent.started", agent="builder", data={"task": "work"}))
@@ -249,7 +252,7 @@ def test_empty(self):
def test_with_agents(self):
state = FactoryLiveState()
state.active_agents["builder"] = AgentActivity(role="builder", task="work", started_at="2026-05-03T12:00:00Z")
- state.active_agents["qa"] = AgentActivity(role="qa", task="review", started_at="2026-05-03T12:00:00Z")
+ state.active_agents["code_reviewer"] = AgentActivity(role="code_reviewer", task="review", started_at="2026-05-03T12:00:00Z")
assert active_agent_count(state) == 2
@@ -272,45 +275,29 @@ def test_old_timestamp(self):
class TestModeAwarePhaseInference:
- def test_improve_researcher_sets_observe(self):
+ def test_design_researcher_sets_research(self):
events = [
- _event("cycle.started", data={"mode": "improve"}),
+ _event("cycle.started", data={"mode": "design"}),
_event("agent.started", agent="researcher", data={"task": "study"}),
]
state = infer_state(events)
- assert state.current_phase == "Observe"
+ assert state.current_phase == "Research"
- def test_improve_strategist_sets_hypothesize(self):
+ def test_design_strategist_sets_plan(self):
events = [
- _event("cycle.started", data={"mode": "improve"}),
+ _event("cycle.started", data={"mode": "design"}),
_event("agent.started", agent="strategist", data={"task": "plan"}),
]
state = infer_state(events)
- assert state.current_phase == "Hypothesize"
-
- def test_research_failure_analyst_sets_analyze(self):
- events = [
- _event("cycle.started", data={"mode": "research"}),
- _event("agent.started", agent="failure_analyst", data={"task": "analyze"}),
- ]
- state = infer_state(events)
- assert state.current_phase == "Analyze"
-
- def test_research_qa_sets_qa(self):
- events = [
- _event("cycle.started", data={"mode": "research"}),
- _event("agent.started", agent="qa", data={"task": "verify"}),
- ]
- state = infer_state(events)
- assert state.current_phase == "QA"
+ assert state.current_phase == "Plan"
- def test_build_strategist_sets_plan(self):
+ def test_design_builder_sets_build(self):
events = [
- _event("cycle.started", data={"mode": "build"}),
- _event("agent.started", agent="strategist", data={"task": "plan"}),
+ _event("cycle.started", data={"mode": "design"}),
+ _event("agent.started", agent="builder", data={"task": "implement"}),
]
state = infer_state(events)
- assert state.current_phase == "Plan"
+ assert state.current_phase == "Build"
def test_no_mode_uses_generic_mapping(self):
events = [
@@ -319,17 +306,9 @@ def test_no_mode_uses_generic_mapping(self):
state = infer_state(events)
assert state.current_phase == "Research"
- def test_meta_ace_event_sets_ace_phase(self):
- events = [
- _event("cycle.started", data={"mode": "meta"}),
- _event("ace.started"),
- ]
- state = infer_state(events)
- assert state.current_phase == "ACE"
-
def test_hypothesis_number_increments(self):
events = [
- _event("cycle.started", data={"mode": "improve"}),
+ _event("cycle.started", data={"mode": "design"}),
_event("experiment.begin", data={"exp_id": 1, "hypothesis": "H1"}),
_event("experiment.finalize", data={"exp_id": 1, "verdict": "keep"}),
_event("experiment.begin", data={"exp_id": 2, "hypothesis": "H2"}),
@@ -340,29 +319,22 @@ def test_hypothesis_number_increments(self):
def test_hypothesis_number_resets_on_new_cycle(self):
events = [
- _event("cycle.started", data={"mode": "improve"}),
+ _event("cycle.started", data={"mode": "design"}),
_event("experiment.begin", data={"exp_id": 1, "hypothesis": "H1"}),
- _event("cycle.started", data={"mode": "improve"}),
+ _event("cycle.started", data={"mode": "design"}),
]
state = infer_state(events)
assert state.hypothesis_number == 0
def test_to_dict_includes_mode_phases(self):
- events = [_event("cycle.started", data={"mode": "improve"})]
+ events = [_event("cycle.started", data={"mode": "design"})]
state = infer_state(events)
d = state.to_dict()
- assert d["phases"] == ["Observe", "Hypothesize", "Build", "Review", "Eval", "Archive"]
+ assert d["phases"] == ["Research", "Plan", "Build", "Verify", "Archive"]
assert "Build" in d["loop_phases"]
- assert "Observe" not in d["loop_phases"]
+ assert "Research" not in d["loop_phases"]
assert d["hypothesis_number"] == 0
- def test_to_dict_research_mode_phases(self):
- events = [_event("cycle.started", data={"mode": "research"})]
- state = infer_state(events)
- d = state.to_dict()
- assert d["phases"][0] == "Baseline"
- assert "Run" in d["loop_phases"]
-
def test_to_dict_no_mode_uses_generic(self):
d = FactoryLiveState().to_dict()
assert d["phases"] == PHASES
@@ -370,21 +342,21 @@ def test_to_dict_no_mode_uses_generic(self):
class TestModeAwarePhaseIndex:
- def test_improve_observe_index(self):
- assert phase_index("Observe", mode="improve") == 0
+ def test_design_research_index(self):
+ assert phase_index("Research", mode="design") == 0
- def test_improve_hypothesize_index(self):
- assert phase_index("Hypothesize", mode="improve") == 1
+ def test_design_plan_index(self):
+ assert phase_index("Plan", mode="design") == 1
- def test_improve_research_not_found(self):
- assert phase_index("Research", mode="improve") == -1
+ def test_design_observe_not_found(self):
+ assert phase_index("Observe", mode="design") == -1
def test_generic_research_found(self):
assert phase_index("Research", mode=None) == 2
def test_completed_phases_mode_aware(self):
- state = FactoryLiveState(current_phase="Build", current_mode="improve")
- assert completed_phases(state) == ["Observe", "Hypothesize"]
+ state = FactoryLiveState(current_phase="Build", current_mode="design")
+ assert completed_phases(state) == ["Research", "Plan"]
def test_completed_phases_generic(self):
state = FactoryLiveState(current_phase="Build", current_mode=None)
@@ -392,15 +364,14 @@ def test_completed_phases_generic(self):
class TestGetPhasesForMode:
- def test_improve(self):
- phases = get_phases_for_mode("improve")
- assert phases[0] == "Observe"
+ def test_design(self):
+ phases = get_phases_for_mode("design")
+ assert phases[0] == "Research"
assert "Archive" in phases
- def test_research(self):
- phases = get_phases_for_mode("research")
- assert phases[0] == "Baseline"
- assert "Run" in phases
+ def test_removed_mode_falls_back_to_generic(self):
+ assert get_phases_for_mode("improve") == PHASES
+ assert get_phases_for_mode("research") == PHASES
def test_unknown_mode(self):
assert get_phases_for_mode("unknown") == PHASES
diff --git a/tests/test_workflow_cli.py b/tests/test_workflow_cli.py
new file mode 100644
index 000000000..9b8ac60fb
--- /dev/null
+++ b/tests/test_workflow_cli.py
@@ -0,0 +1,544 @@
+"""Tests for factory/workflow/cli.py — full coverage."""
+
+from __future__ import annotations
+
+import argparse
+from dataclasses import dataclass
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from factory.workflow.cli import (
+ _cmd_export_skills,
+ _cmd_lint_contributed,
+ _cmd_list,
+ _cmd_run,
+ _cmd_show,
+ _cmd_validate,
+ cmd_workflow,
+)
+from factory.workflow.executor import ExecutionResult
+from factory.workflow.primitives import (
+ DEFAULT_AGENT_POOL,
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ ForkNode,
+ GateNode,
+ JoinNode,
+ Study,
+ VerdictType,
+ Workflow,
+)
+from factory.workflow.registry import WorkflowRegistry
+
+
+@pytest.fixture(autouse=True)
+def _reset_registry():
+ """Reset registry state before each test."""
+ WorkflowRegistry.reset()
+ yield
+ WorkflowRegistry.reset()
+
+
+def _make_args(name: str, project_path: str, dry_run: bool = False) -> argparse.Namespace:
+ return argparse.Namespace(name=name, project_path=project_path, dry_run=dry_run)
+
+
+def _success_result() -> ExecutionResult:
+ r = ExecutionResult()
+ r.success = True
+ r.halted = False
+ r.nodes_executed = 3
+ r.duration_ms = 42.0
+ r.completed_files = {"a.txt", "b.txt"}
+ return r
+
+
+def _failure_result() -> ExecutionResult:
+ r = ExecutionResult()
+ r.success = False
+ r.halted = True
+ r.halt_reason = "gate rejected"
+ r.nodes_executed = 2
+ r.duration_ms = 10.0
+ return r
+
+
+class TestCmdRun:
+ def test_unknown_workflow_returns_1(self, tmp_path: Path) -> None:
+ args = _make_args("nonexistent", str(tmp_path))
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=None):
+ assert _cmd_run(args) == 1
+
+ def test_success_returns_0(self, tmp_path: Path) -> None:
+ mock_wf = MagicMock()
+ mock_executor = MagicMock()
+ mock_executor.execute = AsyncMock(return_value=_success_result())
+
+ with (
+ patch.object(WorkflowRegistry, "get_workflow", return_value=mock_wf),
+ patch("factory.workflow.cli.WorkflowExecutor", return_value=mock_executor),
+ patch("factory.agents.runner.begin_cycle_session", return_value="span-123") as mock_begin,
+ patch("factory.agents.runner.complete_cycle_session") as mock_complete,
+ ):
+ result = _cmd_run(_make_args("build", str(tmp_path)))
+
+ assert result == 0
+ mock_begin.assert_called_once_with(tmp_path.resolve(), cycle_id="build")
+ mock_complete.assert_called_once_with(tmp_path.resolve(), "span-123")
+
+ def test_failure_returns_1(self, tmp_path: Path) -> None:
+ mock_wf = MagicMock()
+ mock_executor = MagicMock()
+ mock_executor.execute = AsyncMock(return_value=_failure_result())
+
+ with (
+ patch.object(WorkflowRegistry, "get_workflow", return_value=mock_wf),
+ patch("factory.workflow.cli.WorkflowExecutor", return_value=mock_executor),
+ patch("factory.agents.runner.begin_cycle_session", return_value=None),
+ patch("factory.agents.runner.complete_cycle_session"),
+ ):
+ result = _cmd_run(_make_args("build", str(tmp_path)))
+
+ assert result == 1
+
+ def test_complete_called_on_exception(self, tmp_path: Path) -> None:
+ mock_wf = MagicMock()
+ mock_executor = MagicMock()
+ mock_executor.execute = AsyncMock(side_effect=RuntimeError("boom"))
+
+ with (
+ patch.object(WorkflowRegistry, "get_workflow", return_value=mock_wf),
+ patch("factory.workflow.cli.WorkflowExecutor", return_value=mock_executor),
+ patch("factory.agents.runner.begin_cycle_session", return_value="span-456") as mock_begin,
+ patch("factory.agents.runner.complete_cycle_session") as mock_complete,
+ ):
+ with pytest.raises(RuntimeError, match="boom"):
+ _cmd_run(_make_args("build", str(tmp_path)))
+
+ mock_begin.assert_called_once()
+ mock_complete.assert_called_once_with(tmp_path.resolve(), "span-456")
+
+ def test_executor_receives_correct_params(self, tmp_path: Path) -> None:
+ mock_wf = MagicMock()
+ mock_executor = MagicMock()
+ mock_executor.execute = AsyncMock(return_value=_success_result())
+
+ with (
+ patch.object(WorkflowRegistry, "get_workflow", return_value=mock_wf),
+ patch("factory.workflow.cli.WorkflowExecutor", return_value=mock_executor) as mock_cls,
+ patch("factory.agents.runner.begin_cycle_session", return_value=None),
+ patch("factory.agents.runner.complete_cycle_session"),
+ ):
+ _cmd_run(_make_args("improve", str(tmp_path), dry_run=True))
+
+ mock_cls.assert_called_once_with(
+ mock_wf,
+ tmp_path.resolve(),
+ agent_pool=DEFAULT_AGENT_POOL,
+ dry_run=True,
+ )
+
+
+# ── helpers for new tests ──────────────────────────────────────
+
+
+def _build_simple_workflow() -> Workflow:
+ """Build a small workflow with various node types for testing."""
+ nodes: dict[str, AgentNode | FnNode | GateNode | ForkNode | JoinNode | Study] = {
+ "study": Study(id="study", reads=set(), writes={"observations"}, focus="code"),
+ "research": AgentNode(
+ id="research", role=AgentRole.RESEARCHER, reads={"observations"}, writes={"findings"}
+ ),
+ "gate": GateNode(
+ id="gate", evaluator_type="agent", reads={"findings"}, writes=set()
+ ),
+ "fork": ForkNode(id="fork", targets=["build_a", "build_b"], reads=set(), writes=set()),
+ "join": JoinNode(id="join", sources=["build_a", "build_b"], reads=set(), writes=set()),
+ "build_fn": FnNode(id="build_fn", reads=set(), writes={"artifact"}),
+ }
+ edges = [
+ Edge(source="study", target="research"),
+ Edge(source="research", target="gate"),
+ Edge(source="gate", target="fork", condition=VerdictType.PROCEED),
+ Edge(source="gate", target="study", condition=VerdictType.HALT),
+ Edge(source="fork", target="join"),
+ ]
+ return Workflow(name="test_wf", nodes=nodes, edges=edges, start_node="study")
+
+
+# ── cmd_workflow dispatch ──────────────────────────────────────
+
+
+class TestCmdWorkflow:
+ def test_no_subcommand_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ args = argparse.Namespace() # no workflow_command attr
+ assert cmd_workflow(args) == 1
+ assert "Usage:" in capsys.readouterr().out
+
+ def test_none_subcommand_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ args = argparse.Namespace(workflow_command=None)
+ assert cmd_workflow(args) == 1
+ assert "Usage:" in capsys.readouterr().out
+
+ def test_unknown_subcommand_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ args = argparse.Namespace(workflow_command="bogus")
+ assert cmd_workflow(args) == 1
+ assert "Unknown workflow subcommand: bogus" in capsys.readouterr().out
+
+ def test_dispatches_to_list(self) -> None:
+ args = argparse.Namespace(workflow_command="list", project_path=None)
+ with patch("factory.workflow.cli._cmd_list", return_value=0) as m:
+ assert cmd_workflow(args) == 0
+ m.assert_called_once_with(args)
+
+ def test_dispatches_to_show(self) -> None:
+ args = argparse.Namespace(workflow_command="show", name="build", project_path=None)
+ with patch("factory.workflow.cli._cmd_show", return_value=0) as m:
+ assert cmd_workflow(args) == 0
+ m.assert_called_once_with(args)
+
+ def test_dispatches_to_validate(self) -> None:
+ args = argparse.Namespace(workflow_command="validate", name="build", project_path=None)
+ with patch("factory.workflow.cli._cmd_validate", return_value=0) as m:
+ assert cmd_workflow(args) == 0
+ m.assert_called_once_with(args)
+
+ def test_dispatches_to_export_skills(self) -> None:
+ args = argparse.Namespace(workflow_command="export-skills")
+ with patch("factory.workflow.cli._cmd_export_skills", return_value=0) as m:
+ assert cmd_workflow(args) == 0
+ m.assert_called_once_with(args)
+
+ def test_dispatches_to_lint_contributed(self) -> None:
+ args = argparse.Namespace(workflow_command="lint-contributed")
+ with patch("factory.workflow.cli._cmd_lint_contributed", return_value=0) as m:
+ assert cmd_workflow(args) == 0
+ m.assert_called_once_with(args)
+
+
+# ── _cmd_list ──────────────────────────────────────────────────
+
+
+class TestCmdList:
+ def test_lists_workflows(self, capsys: pytest.CaptureFixture[str]) -> None:
+ wf = _build_simple_workflow()
+
+ @dataclass
+ class FakeEntry:
+ name: str
+ description: str = ""
+ path: str = ""
+ source: str = "builtin"
+
+ entries = [FakeEntry(name="test_wf")]
+
+ with (
+ patch.object(WorkflowRegistry, "list_workflows", return_value=entries),
+ patch.object(WorkflowRegistry, "get_workflow", return_value=wf),
+ ):
+ args = argparse.Namespace(project_path=None)
+ result = _cmd_list(args)
+
+ assert result == 0
+ out = capsys.readouterr().out
+ assert "test_wf" in out
+ assert "study" in out # start_node
+
+ def test_list_with_project_path(self, tmp_path: Path) -> None:
+ with (
+ patch.object(WorkflowRegistry, "list_workflows", return_value=[]),
+ ):
+ args = argparse.Namespace(project_path=str(tmp_path))
+ result = _cmd_list(args)
+ assert result == 0
+
+ def test_list_skips_none_workflows(self, capsys: pytest.CaptureFixture[str]) -> None:
+ @dataclass
+ class FakeEntry:
+ name: str
+ description: str = ""
+ path: str = ""
+ source: str = "builtin"
+
+ entries = [FakeEntry(name="missing")]
+
+ with (
+ patch.object(WorkflowRegistry, "list_workflows", return_value=entries),
+ patch.object(WorkflowRegistry, "get_workflow", return_value=None),
+ ):
+ args = argparse.Namespace(project_path=None)
+ result = _cmd_list(args)
+
+ assert result == 0
+ out = capsys.readouterr().out
+ assert "missing" not in out.split("\n")[-1] # not printed as a row
+
+
+# ── _cmd_show ──────────────────────────────────────────────────
+
+
+class TestCmdShow:
+ def test_unknown_workflow_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=None):
+ args = argparse.Namespace(name="nope", project_path=None)
+ assert _cmd_show(args) == 1
+ assert "Unknown workflow: nope" in capsys.readouterr().out
+
+ def test_show_prints_graph(self, capsys: pytest.CaptureFixture[str]) -> None:
+ wf = _build_simple_workflow()
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=wf):
+ args = argparse.Namespace(name="test_wf", project_path=None)
+ assert _cmd_show(args) == 0
+
+ out = capsys.readouterr().out
+ assert "Workflow: test_wf" in out
+ assert "Start: study" in out
+ assert "Nodes:" in out
+ assert "Edges:" in out
+ # Check node types are rendered
+ assert "Agent(researcher)" in out
+ assert "Gate(agent)" in out
+ assert "Fork(2)" in out
+ assert "Join(2)" in out
+ assert "Study" in out
+ assert "Fn" in out
+ # Check edge conditions
+ assert "proceed" in out
+ assert "halt" in out
+
+ def test_show_truncates_long_reads_writes(self, capsys: pytest.CaptureFixture[str]) -> None:
+ """Verify reads/writes longer than 28 chars are truncated."""
+ long_reads = {f"very_long_read_name_{i}" for i in range(5)}
+ nodes: dict[str, FnNode] = {
+ "fn": FnNode(id="fn", reads=long_reads, writes=long_reads),
+ }
+ wf = Workflow(
+ name="long_wf",
+ nodes=nodes,
+ edges=[],
+ start_node="fn",
+ )
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=wf):
+ args = argparse.Namespace(name="long_wf", project_path=None)
+ assert _cmd_show(args) == 0
+
+ out = capsys.readouterr().out
+ assert "..." in out
+
+
+# ── _cmd_validate ──────────────────────────────────────────────
+
+
+class TestCmdValidate:
+ def test_unknown_workflow_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=None):
+ args = argparse.Namespace(name="nope", project_path=None, file=None)
+ assert _cmd_validate(args) == 1
+ assert "Unknown workflow: nope" in capsys.readouterr().out
+
+ def test_valid_workflow_returns_0(self, capsys: pytest.CaptureFixture[str]) -> None:
+ wf = MagicMock()
+ wf.validate_graph.return_value = []
+ wf.nodes = {"a": MagicMock(), "b": MagicMock()}
+ wf.edges = [MagicMock()]
+
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=wf):
+ args = argparse.Namespace(name="ok_wf", project_path=None, file=None)
+ assert _cmd_validate(args) == 0
+
+ out = capsys.readouterr().out
+ assert "VALID" in out
+ assert "2 nodes" in out
+
+ def test_invalid_workflow_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ wf = MagicMock()
+ wf.validate_graph.return_value = ["orphan node X", "missing edge Y"]
+
+ with patch.object(WorkflowRegistry, "get_workflow", return_value=wf):
+ args = argparse.Namespace(name="bad_wf", project_path=None, file=None)
+ assert _cmd_validate(args) == 1
+
+ out = capsys.readouterr().out
+ assert "2 issue(s)" in out
+ assert "orphan node X" in out
+ assert "missing edge Y" in out
+
+ def test_file_flag_loads_and_validates(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+ ) -> None:
+ """--file flag loads a standalone workflow .py file and validates it."""
+ wf_file = tmp_path / "my_workflow.py"
+ wf_file.write_text(
+ "from factory.workflow.primitives import FnNode, Workflow\n"
+ "\n"
+ 'meta = {"name": "my_wf", "description": "Test workflow"}\n'
+ "\n"
+ "def workflow():\n"
+ " return Workflow(\n"
+ ' name="my_wf",\n'
+ ' nodes={"start": FnNode(id="start", command="echo hi")},\n'
+ " edges=[],\n"
+ ' start_node="start",\n'
+ " )\n"
+ )
+ args = argparse.Namespace(name=None, project_path=None, file=str(wf_file))
+ assert _cmd_validate(args) == 0
+
+ out = capsys.readouterr().out
+ assert "VALID" in out
+ assert "my_wf" in out
+
+ def test_file_flag_missing_file_returns_1(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+ ) -> None:
+ args = argparse.Namespace(
+ name=None, project_path=None, file=str(tmp_path / "missing.py")
+ )
+ assert _cmd_validate(args) == 1
+ assert "File not found" in capsys.readouterr().out
+
+ def test_file_flag_invalid_file_returns_1(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+ ) -> None:
+ """--file with a file missing meta dict returns 1."""
+ wf_file = tmp_path / "bad.py"
+ wf_file.write_text("def workflow(): pass\n")
+ args = argparse.Namespace(name=None, project_path=None, file=str(wf_file))
+ assert _cmd_validate(args) == 1
+ assert "Failed to load" in capsys.readouterr().out
+
+ def test_no_name_no_file_returns_1(self, capsys: pytest.CaptureFixture[str]) -> None:
+ """Neither name nor --file provided returns an error."""
+ args = argparse.Namespace(name=None, project_path=None, file=None)
+ assert _cmd_validate(args) == 1
+ assert "provide a workflow name or --file" in capsys.readouterr().out
+
+
+# ── _cmd_export_skills ─────────────────────────────────────────
+
+
+class TestCmdExportSkills:
+ def test_export_no_verify(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ fake_paths = [tmp_path / "skill-a" / "SKILL.md", tmp_path / "skill-b" / "SKILL.md"]
+ for p in fake_paths:
+ p.parent.mkdir(parents=True, exist_ok=True)
+ p.write_text("# skill content")
+
+ with (
+ patch.object(WorkflowRegistry, "discover", return_value={"wf1": MagicMock()}),
+ patch.object(WorkflowRegistry, "get_workflow", return_value=MagicMock()),
+ patch(
+ "factory.workflow.skill_export.export_all_skills",
+ return_value=fake_paths,
+ ),
+ ):
+ args = argparse.Namespace(
+ output_dir=str(tmp_path), verify=False, project_path=None
+ )
+ assert _cmd_export_skills(args) == 0
+
+ out = capsys.readouterr().out
+ assert "Exported 2 skills" in out
+
+ def test_export_verify_pass(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ fake_path = tmp_path / "skill-a" / "SKILL.md"
+ fake_path.parent.mkdir(parents=True, exist_ok=True)
+ fake_path.write_text("# valid skill")
+
+ with (
+ patch.object(WorkflowRegistry, "discover", return_value={"wf1": MagicMock()}),
+ patch.object(WorkflowRegistry, "get_workflow", return_value=MagicMock()),
+ patch("factory.workflow.skill_export.export_all_skills", return_value=[fake_path]),
+ patch("factory.workflow.skill_export.validate_skill", return_value=[]),
+ ):
+ args = argparse.Namespace(
+ output_dir=str(tmp_path), verify=True, project_path=None
+ )
+ assert _cmd_export_skills(args) == 0
+
+ out = capsys.readouterr().out
+ assert "All skills valid" in out
+
+ def test_export_verify_fail(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ fake_path = tmp_path / "skill-bad" / "SKILL.md"
+ fake_path.parent.mkdir(parents=True, exist_ok=True)
+ fake_path.write_text("# broken")
+
+ with (
+ patch.object(WorkflowRegistry, "discover", return_value={"wf1": MagicMock()}),
+ patch.object(WorkflowRegistry, "get_workflow", return_value=MagicMock()),
+ patch("factory.workflow.skill_export.export_all_skills", return_value=[fake_path]),
+ patch("factory.workflow.skill_export.validate_skill", return_value=["missing section X"]),
+ ):
+ args = argparse.Namespace(
+ output_dir=str(tmp_path), verify=True, project_path=None
+ )
+ assert _cmd_export_skills(args) == 1
+
+ out = capsys.readouterr().out
+ assert "INVALID" in out
+ assert "missing section X" in out
+ assert "1 validation issue(s)" in out
+
+ def test_export_skips_none_workflows(
+ self, tmp_path: Path, capsys: pytest.CaptureFixture[str]
+ ) -> None:
+ with (
+ patch.object(
+ WorkflowRegistry, "discover", return_value={"wf1": MagicMock(), "wf2": MagicMock()}
+ ),
+ patch.object(WorkflowRegistry, "get_workflow", side_effect=[MagicMock(), None]),
+ patch("factory.workflow.skill_export.export_all_skills", return_value=[]) as mock_export,
+ ):
+ args = argparse.Namespace(
+ output_dir=str(tmp_path), verify=False, project_path=None
+ )
+ _cmd_export_skills(args)
+
+ # Only 1 workflow should be passed (the non-None one)
+ workflows_arg = mock_export.call_args[0][1]
+ assert len(workflows_arg) == 1
+
+
+# ── _cmd_lint_contributed ──────────────────────────────────────
+
+
+class TestCmdLintContributed:
+ def test_clean_returns_0(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ with patch("factory.workflow.lint.lint_contributed", return_value=[]):
+ args = argparse.Namespace(path=str(tmp_path))
+ assert _cmd_lint_contributed(args) == 0
+ assert "clean" in capsys.readouterr().out
+
+ def test_issues_returns_1(self, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+ @dataclass
+ class FakeLintIssue:
+ directory: str
+ check: str
+ message: str
+
+ issues = [
+ FakeLintIssue(directory="foo", check="missing_file", message="no README.md"),
+ FakeLintIssue(directory="bar", check="bad_meta", message="invalid meta dict"),
+ ]
+ with patch("factory.workflow.lint.lint_contributed", return_value=issues):
+ args = argparse.Namespace(path=str(tmp_path))
+ assert _cmd_lint_contributed(args) == 1
+
+ out = capsys.readouterr().out
+ assert "2 issue(s)" in out
+ assert "foo" in out
+ assert "no README.md" in out
+
+ def test_default_path_used(self) -> None:
+ """When path is None, uses the default contributed directory."""
+ with patch("factory.workflow.lint.lint_contributed", return_value=[]) as m:
+ args = argparse.Namespace(path=None)
+ _cmd_lint_contributed(args)
+
+ called_path = m.call_args[0][0]
+ assert "contributed" in str(called_path)
diff --git a/tests/test_workflow_definitions.py b/tests/test_workflow_definitions.py
index 6c8dfd187..d5e9e9073 100644
--- a/tests/test_workflow_definitions.py
+++ b/tests/test_workflow_definitions.py
@@ -8,13 +8,14 @@
from factory.models import ProjectState
from factory.workflow.definitions import (
+ DOC_FRESHNESS_GATE_PROMPT,
+ _GRAPH_EXPLORER_PROMPT,
+ _graph_explorer_prompt,
+ _study_subgraph,
build_workflow,
create_workflow,
design_workflow,
- improve_workflow,
- meta_workflow,
register_all,
- research_workflow,
)
from factory.workflow.primitives import (
AgentNode,
@@ -23,6 +24,8 @@
ForkNode,
GateNode,
JoinNode,
+ Study,
+ VerdictType,
)
@@ -40,21 +43,6 @@ def test_design_valid(self) -> None:
issues = wf.validate_graph()
assert issues == [], f"design workflow has issues: {issues}"
- def test_improve_valid(self) -> None:
- wf = improve_workflow()
- issues = wf.validate_graph()
- assert issues == [], f"improve workflow has issues: {issues}"
-
- def test_research_valid(self) -> None:
- wf = research_workflow()
- issues = wf.validate_graph()
- assert issues == [], f"research workflow has issues: {issues}"
-
- def test_meta_valid(self) -> None:
- wf = meta_workflow()
- issues = wf.validate_graph()
- assert issues == [], f"meta workflow has issues: {issues}"
-
# ── Triggers ─────────────────────────────────────────────────────
@@ -73,25 +61,9 @@ def test_design_trigger(self) -> None:
assert wf.trigger(ProjectState.NO_REPO, {"interactive": True})
assert not wf.trigger(ProjectState.NO_REPO, {"interactive": False})
assert not wf.trigger(ProjectState.NO_REPO, {})
- assert not wf.trigger(ProjectState.HAS_FACTORY, {"interactive": True})
-
- def test_improve_trigger(self) -> None:
- wf = improve_workflow()
- assert wf.trigger is not None
- assert wf.trigger(ProjectState.HAS_FACTORY, {})
- assert not wf.trigger(ProjectState.NO_REPO, {})
-
- def test_research_trigger(self) -> None:
- wf = research_workflow()
- assert wf.trigger is not None
- assert wf.trigger(ProjectState.HAS_FACTORY, {"research_target": "accuracy"})
- assert not wf.trigger(ProjectState.HAS_FACTORY, {})
-
- def test_meta_trigger(self) -> None:
- wf = meta_workflow()
- assert wf.trigger is not None
- assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "meta"})
- assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+ # HAS_FACTORY now fires for design mode
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"interactive": True})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"interactive": False})
# ── W₂ = W₁[gate_strategy ← user] ──────────────────────────────
@@ -113,85 +85,105 @@ def test_design_strategy_gate_is_user(self) -> None:
assert gate_w2.evaluator_type == "user"
def test_design_shares_other_nodes(self) -> None:
- """W₂ shares all other node IDs with W₁."""
+ """W₂ shares all build node IDs with W₁, plus gate_has_factory, discover, and study subgraph."""
w1 = build_workflow()
w2 = design_workflow()
w1_ids = set(w1.nodes.keys())
w2_ids = set(w2.nodes.keys())
- assert w1_ids == w2_ids
+ # Design has extra nodes: gate_has_factory, discover, bootstrap, and study subgraph
+ assert w2_ids == w1_ids | {
+ "gate_has_factory",
+ "discover",
+ "gate_factory_md_exists",
+ "create_factory_md",
+ "factory_init",
+ "graph_update",
+ "study",
+ "graph_explorer",
+ "concat_study",
+ }
def test_design_name(self) -> None:
wf = design_workflow()
assert wf.name == "design"
-# ── W₄ structural delta from W₃ ─────────────────────────────────
-
-
-class TestResearchExtendsImprove:
- def test_research_has_baseline(self) -> None:
- """W₄ replaces study with baseline measurement."""
- wf = research_workflow()
- assert "baseline" in wf.nodes
- assert "study" not in wf.nodes
+# ── Design study node tests ──────────────────────────────────────
- def test_research_has_failure_analyst(self) -> None:
- """W₄ has failure_analyst between baseline and researcher."""
- wf = research_workflow()
- assert "failure_analyst" in wf.nodes
- node = wf.nodes["failure_analyst"]
- assert isinstance(node, AgentNode)
- assert node.role == AgentRole.FAILURE_ANALYST
- def test_research_has_plateau_gate(self) -> None:
- """W₄ has plateau detection gate."""
- wf = research_workflow()
- assert "plateau_gate" in wf.nodes
- assert isinstance(wf.nodes["plateau_gate"], GateNode)
+class TestDesignStudyNode:
+ """Verify design mode's conditional study path for existing projects."""
- def test_research_start_node(self) -> None:
- wf = research_workflow()
- assert wf.start_node == "baseline"
-
-
-# ── W₅ Meta structure ────────────────────────────────────────────
+ def test_design_has_study_node(self) -> None:
+ """Design workflow must contain a study node."""
+ wf = design_workflow()
+ assert "study" in wf.nodes
+ assert isinstance(wf.nodes["study"], Study)
+ def test_design_has_gate_has_factory(self) -> None:
+ """Design workflow must contain the gate_has_factory conditional gate."""
+ wf = design_workflow()
+ assert "gate_has_factory" in wf.nodes
+ gate = wf.nodes["gate_has_factory"]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "fn"
-class TestMetaStructure:
- def test_meta_has_insights(self) -> None:
- wf = meta_workflow()
- assert "insights" in wf.nodes
- assert isinstance(wf.nodes["insights"], FnNode)
+ def test_design_study_writes_observations(self) -> None:
+ """Study node must write observations.md."""
+ wf = design_workflow()
+ study = wf.nodes["study"]
+ assert ".factory/strategy/observations.md" in study.writes
- def test_meta_archivist_chains_to_test(self) -> None:
- """Archivist (non-blocking) chains directly to test_collect."""
- wf = meta_workflow()
- edges_from_archivist = [e for e in wf.edges if e.source == "archivist"]
- assert any(e.target == "test_collect" for e in edges_from_archivist)
+ def test_design_concat_study_to_fork_research_edge(self) -> None:
+ """There must be an unconditional edge from concat_study to fork_research."""
+ wf = design_workflow()
+ assert any(
+ e.source == "concat_study" and e.target == "fork_research" and e.condition is None
+ for e in wf.edges
+ )
- def test_meta_has_test_pruning(self) -> None:
- wf = meta_workflow()
- assert "test_collect" in wf.nodes
- assert "test_researcher" in wf.nodes
- assert "gate_test_prune" in wf.nodes
- assert "test_builder" in wf.nodes
+ def test_design_gate_routes_to_graph_update(self) -> None:
+ """gate_has_factory PROCEED must route to graph_update."""
+ wf = design_workflow()
+ assert any(
+ e.source == "gate_has_factory"
+ and e.target == "graph_update"
+ and e.condition == VerdictType.PROCEED
+ for e in wf.edges
+ )
- def test_meta_has_user_gates(self) -> None:
- wf = meta_workflow()
- gate_user = wf.nodes.get("gate_user")
- gate_test = wf.nodes.get("gate_test_prune")
- assert isinstance(gate_user, GateNode)
- assert isinstance(gate_test, GateNode)
- assert gate_user.evaluator_type == "user"
- assert gate_test.evaluator_type == "user"
+ def test_design_gate_routes_to_discover(self) -> None:
+ """gate_has_factory HALT must route to discover (not fork_research)."""
+ wf = design_workflow()
+ assert any(
+ e.source == "gate_has_factory"
+ and e.target == "discover"
+ and e.condition == VerdictType.HALT
+ for e in wf.edges
+ )
- def test_meta_archivist_nonblocking(self) -> None:
- wf = meta_workflow()
- archivist = wf.nodes.get("archivist")
- assert archivist is not None
- assert archivist.blocking is False
+ def test_design_has_discover_node(self) -> None:
+ """Design workflow must contain a discover FnNode."""
+ wf = design_workflow()
+ assert "discover" in wf.nodes
+ node = wf.nodes["discover"]
+ assert isinstance(node, FnNode)
+ assert node.command == "factory discover {project_path}"
+ assert ".factory/eval_profile.json" in node.writes
+
+ def test_design_discover_to_bootstrap_edge(self) -> None:
+ """Discover chains through bootstrap (factory.md gate + init) before graph_update."""
+ wf = design_workflow()
+ assert any(
+ e.source == "discover" and e.target == "gate_factory_md_exists" and e.condition is None
+ for e in wf.edges
+ )
+ assert any(
+ e.source == "factory_init" and e.target == "graph_update" and e.condition is None
+ for e in wf.edges
+ )
# ── Agent pool assignments ───────────────────────────────────────
@@ -205,10 +197,13 @@ def test_default_pool_models(self) -> None:
"researcher": "sonnet",
"strategist": "opus",
"builder": "opus",
- "qa": "opus",
+ "health_checker": "opus",
+ "code_reviewer": "opus",
+ "adversarial_tester": "opus",
"failure_analyst": "opus",
"ceo": "opus",
"archivist": "haiku",
+ "refiner": "opus",
}
for role, model in expected.items():
@@ -222,13 +217,10 @@ def test_default_pool_models(self) -> None:
class TestRegisterAll:
- def test_all_nine_workflows(self) -> None:
+ def test_all_workflows_registered(self) -> None:
all_wf = register_all()
- assert len(all_wf) == 9
- assert set(all_wf.keys()) == {
- "build", "design", "improve", "research", "meta",
- "discover", "review", "refine", "create",
- }
+ required = {"design", "create", "spec-generate"}
+ assert required.issubset(set(all_wf.keys())), f"Missing: {required - set(all_wf.keys())}"
def test_all_validate(self) -> None:
all_wf = register_all()
@@ -237,6 +229,38 @@ def test_all_validate(self) -> None:
assert issues == [], f"{name} has validation issues: {issues}"
+class TestDesignStudySubgraph:
+ def test_graph_nodes_exist(self) -> None:
+ wf = design_workflow()
+ assert "graph_update" in wf.nodes
+ assert "study" in wf.nodes
+ assert "graph_explorer" in wf.nodes
+ assert "concat_study" in wf.nodes
+
+ def test_edge_wiring(self) -> None:
+ wf = design_workflow()
+ assert any(e.source == "graph_update" and e.target == "study" for e in wf.edges)
+ assert any(e.source == "study" and e.target == "graph_explorer" for e in wf.edges)
+ assert any(e.source == "graph_explorer" and e.target == "concat_study" for e in wf.edges)
+ assert any(e.source == "concat_study" and e.target == "fork_research" for e in wf.edges)
+
+ def test_graph_update_is_fn_node(self) -> None:
+ wf = design_workflow()
+ node = wf.nodes["graph_update"]
+ assert isinstance(node, FnNode)
+ assert "factory graph update" in node.command
+
+ def test_graph_explorer_writes_context(self) -> None:
+ wf = design_workflow()
+ node = wf.nodes["graph_explorer"]
+ assert ".factory/strategy/graph-context.md" in node.writes
+
+ def test_concat_study_writes_combined(self) -> None:
+ wf = design_workflow()
+ node = wf.nodes["concat_study"]
+ assert ".factory/strategy/study-combined.md" in node.writes
+
+
# ── W₉ Create structure ────────────────────────────────────────
@@ -277,10 +301,10 @@ def test_create_has_user_gate(self) -> None:
assert gate.evaluator_type == "user"
def test_create_has_builder_qa_loop(self) -> None:
- """Create mode has the standard builder → QA → gate loop."""
+ """Create mode has the builder → deep-qa → gate loop."""
wf = create_workflow()
assert "builder" in wf.nodes
- assert "qa" in wf.nodes
+ assert "health_checker" in wf.nodes
assert "gate_qa" in wf.nodes
assert "gate_build" in wf.nodes
reloop_edges = [e for e in wf.edges if e.source == "gate_qa" and e.target == "builder"]
@@ -315,6 +339,67 @@ def test_create_skill_export(self) -> None:
assert "User Approval" in skill_md
+# ── gate_doc_freshness ──────────────────────────────────────────
+
+
+class TestDocFreshnessGate:
+ @pytest.mark.parametrize(
+ "workflow_fn",
+ [build_workflow, create_workflow],
+ ids=["build", "create"],
+ )
+ def test_gate_exists_as_gate_node(self, workflow_fn) -> None:
+ wf = workflow_fn()
+ assert "gate_doc_freshness" in wf.nodes
+ gate = wf.nodes["gate_doc_freshness"]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "agent"
+ assert gate.evaluator_role == AgentRole.CEO
+
+ @pytest.mark.parametrize(
+ "workflow_fn",
+ [build_workflow, create_workflow],
+ ids=["build", "create"],
+ )
+ def test_gate_uses_shared_prompt(self, workflow_fn) -> None:
+ wf = workflow_fn()
+ gate = wf.nodes["gate_doc_freshness"]
+ assert isinstance(gate, GateNode)
+ assert gate.gate_prompt is DOC_FRESHNESS_GATE_PROMPT
+
+ def test_design_inherits_gate(self) -> None:
+ wf = design_workflow()
+ assert "gate_doc_freshness" in wf.nodes
+ assert isinstance(wf.nodes["gate_doc_freshness"], GateNode)
+
+ @pytest.mark.parametrize(
+ "workflow_fn",
+ [build_workflow, create_workflow],
+ ids=["build", "create"],
+ )
+ def test_edge_wiring(self, workflow_fn) -> None:
+ wf = workflow_fn()
+ edges = wf.edges
+ assert any(
+ e.source == "gate_qa"
+ and e.target == "gate_doc_freshness"
+ and e.condition == VerdictType.PROCEED
+ for e in edges
+ ), "missing gate_qa -> gate_doc_freshness PROCEED edge"
+ assert any(
+ e.source == "gate_doc_freshness"
+ and e.target == "gate_precheck"
+ and e.condition == VerdictType.PROCEED
+ for e in edges
+ ), "missing gate_doc_freshness -> gate_precheck PROCEED edge"
+ assert any(
+ e.source == "gate_doc_freshness"
+ and e.target == "builder"
+ and e.condition == VerdictType.RELOOP
+ for e in edges
+ ), "missing gate_doc_freshness -> builder RELOOP edge"
+
+
# ── Builder → QA reachability audit ────────────────────────────
@@ -322,9 +407,10 @@ def _workflows_with_builder() -> list[str]:
"""Return names of workflows containing a Builder AgentNode."""
names = []
for name, wf in register_all().items():
+ if wf.terminal:
+ continue
has_builder = any(
- isinstance(n, AgentNode) and n.role == AgentRole.BUILDER
- for n in wf.nodes.values()
+ isinstance(n, AgentNode) and n.role == AgentRole.BUILDER for n in wf.nodes.values()
)
if has_builder:
names.append(name)
@@ -332,11 +418,14 @@ def _workflows_with_builder() -> list[str]:
def _is_reachable(workflow_name: str, source_id: str, target_id: str) -> bool:
- """Check if target_id is reachable from source_id via forward edges."""
+ """Check if target_id is reachable from source_id via forward edges + fork targets."""
wf = register_all()[workflow_name]
adj: dict[str, list[str]] = defaultdict(list)
for edge in wf.edges:
adj[edge.source].append(edge.target)
+ for nid, node in wf.nodes.items():
+ if isinstance(node, ForkNode):
+ adj[nid].extend(node.targets)
visited: set[str] = set()
queue: deque[str] = deque([source_id])
@@ -351,36 +440,171 @@ def _is_reachable(workflow_name: str, source_id: str, target_id: str) -> bool:
return False
+DEEP_QA_ROLES = {AgentRole.HEALTH_CHECKER, AgentRole.CODE_REVIEWER, AgentRole.ADVERSARIAL_TESTER}
+
+
class TestBuilderQaReachability:
- """Every workflow with a Builder must also have a QA node reachable from it."""
+ """Every workflow with a Builder must also have a deep-qa specialist reachable from it."""
@pytest.mark.parametrize("workflow_name", _workflows_with_builder())
def test_builder_has_qa_node(self, workflow_name: str) -> None:
wf = register_all()[workflow_name]
qa_nodes = [
- nid for nid, n in wf.nodes.items()
- if isinstance(n, AgentNode) and n.role == AgentRole.QA
+ nid
+ for nid, n in wf.nodes.items()
+ if isinstance(n, AgentNode) and n.role in DEEP_QA_ROLES
]
assert qa_nodes, (
- f"workflow '{workflow_name}' has a Builder but no QA AgentNode"
+ f"workflow '{workflow_name}' has a Builder but no deep-qa specialist AgentNode"
)
@pytest.mark.parametrize("workflow_name", _workflows_with_builder())
def test_qa_reachable_from_builder(self, workflow_name: str) -> None:
wf = register_all()[workflow_name]
builder_ids = [
- nid for nid, n in wf.nodes.items()
+ nid
+ for nid, n in wf.nodes.items()
if isinstance(n, AgentNode) and n.role == AgentRole.BUILDER
]
qa_ids = [
- nid for nid, n in wf.nodes.items()
- if isinstance(n, AgentNode) and n.role == AgentRole.QA
+ nid
+ for nid, n in wf.nodes.items()
+ if isinstance(n, AgentNode) and n.role in DEEP_QA_ROLES
]
for bid in builder_ids:
- reachable = any(
- _is_reachable(workflow_name, bid, qid) for qid in qa_ids
- )
+ reachable = any(_is_reachable(workflow_name, bid, qid) for qid in qa_ids)
assert reachable, (
- f"workflow '{workflow_name}': QA node is not reachable from "
+ f"workflow '{workflow_name}': deep-qa specialist is not reachable from "
f"Builder node '{bid}' via edges"
)
+
+
+# ── Deep-QA subgraph tests ────────────────────────────────────
+
+
+DEEP_QA_NODE_IDS = {
+ "fork_qa",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "join_qa",
+}
+
+DEEP_QA_WORKFLOWS = ["build", "create"]
+
+
+def _get_workflow(name: str):
+ return {
+ "build": build_workflow,
+ "create": create_workflow,
+ }[name]()
+
+
+class TestDeepQaSubgraph:
+ """Verify the parallel deep-QA subgraph is correctly wired in surviving workflows."""
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_deep_qa_present_in_all_workflows(self, wf_name: str) -> None:
+ wf = _get_workflow(wf_name)
+ for node_id in DEEP_QA_NODE_IDS:
+ assert node_id in wf.nodes, f"workflow '{wf_name}' missing deep-qa node '{node_id}'"
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_deep_qa_internal_edges(self, wf_name: str) -> None:
+ wf = _get_workflow(wf_name)
+ expected_edges = [
+ ("fork_qa", "join_qa", None),
+ ]
+ edge_set = {(e.source, e.target, e.condition) for e in wf.edges}
+ for src, tgt, cond in expected_edges:
+ assert (src, tgt, cond) in edge_set, (
+ f"workflow '{wf_name}' missing edge {src} → {tgt} ({cond})"
+ )
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_deep_qa_fork_targets(self, wf_name: str) -> None:
+ wf = _get_workflow(wf_name)
+ fork = wf.nodes["fork_qa"]
+ assert isinstance(fork, ForkNode)
+ assert set(fork.targets) == {"health_checker", "code_reviewer", "adversarial_tester"}
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_deep_qa_no_redundant_nodes(self, wf_name: str) -> None:
+ wf = _get_workflow(wf_name)
+ for removed in ("gate_health", "gate_adversarial", "join_verdict"):
+ assert removed not in wf.nodes, (
+ f"workflow '{wf_name}' still has removed node '{removed}'"
+ )
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_gate_qa_reloop_preserved(self, wf_name: str) -> None:
+ wf = _get_workflow(wf_name)
+ reloop_edges = [
+ e
+ for e in wf.edges
+ if e.source == "gate_qa" and e.target == "builder" and e.condition == VerdictType.RELOOP
+ ]
+ assert len(reloop_edges) == 1, f"workflow '{wf_name}' missing gate_qa → builder RELOOP edge"
+
+ @pytest.mark.parametrize("wf_name", DEEP_QA_WORKFLOWS)
+ def test_no_monolithic_qa_node(self, wf_name: str) -> None:
+ """Verify the old monolithic 'qa' AgentNode was removed."""
+ wf = _get_workflow(wf_name)
+ assert "qa" not in wf.nodes or not isinstance(wf.nodes.get("qa"), AgentNode), (
+ f"workflow '{wf_name}' still has monolithic 'qa' AgentNode"
+ )
+
+
+class TestContributedWorkflows:
+ def test_register_all_includes_contributed(self) -> None:
+ """register_all() returns contributed benchmark workflows."""
+ workflows = register_all()
+ assert "swebench" in workflows
+ assert "legacybench" in workflows
+
+ def test_contributed_workflows_valid(self) -> None:
+ workflows = register_all()
+ for name in ("swebench", "legacybench"):
+ wf = workflows[name]
+ issues = wf.validate_graph()
+ assert issues == [], f"{name} workflow has issues: {issues}"
+
+
+# ── Terminal flag defaults ──────────────────────────────────────
+
+
+class TestTerminalFlagDefaults:
+ """Standard workflows default to terminal=False."""
+
+ def test_build_not_terminal(self) -> None:
+ assert build_workflow().terminal is False
+
+ def test_design_is_terminal(self) -> None:
+ assert design_workflow().terminal is True
+
+
+# ── _study_subgraph focus threading ─────────────────────────────
+
+
+class TestStudySubgraphFocus:
+ def test_focus_sets_study_node(self) -> None:
+ nodes, _ = _study_subgraph(focus="auth")
+ assert nodes["study"].focus == "auth"
+
+ def test_focus_sets_graph_explorer_prompt(self) -> None:
+ nodes, _ = _study_subgraph(focus="auth")
+ assert "auth" in nodes["graph_explorer"].prompt_template
+
+ def test_no_focus_backward_compatible(self) -> None:
+ nodes, _ = _study_subgraph()
+ assert nodes["study"].focus is None
+ assert nodes["graph_explorer"].prompt_template == _GRAPH_EXPLORER_PROMPT
+
+ def test_graph_explorer_prompt_with_focus(self) -> None:
+ prompt = _graph_explorer_prompt("auth flow")
+ assert "Focus your exploration on: auth flow" in prompt
+ assert 'factory graph query "auth flow"' in prompt
+
+ def test_graph_explorer_prompt_without_focus(self) -> None:
+ assert _graph_explorer_prompt() == _GRAPH_EXPLORER_PROMPT
+ assert _graph_explorer_prompt(None) == _GRAPH_EXPLORER_PROMPT
diff --git a/tests/test_workflow_design_create_integration.py b/tests/test_workflow_design_create_integration.py
new file mode 100644
index 000000000..3705bfa9a
--- /dev/null
+++ b/tests/test_workflow_design_create_integration.py
@@ -0,0 +1,694 @@
+"""Integration tests for design and create workflow gate verdict paths.
+
+Exercises the full executor pipeline — agent invocation → verdict parsing →
+edge following → node re-execution — using stateful mocks that simulate
+realistic CEO gate responses. No monkey-patching of _evaluate_gate or
+_parse_agent_verdict: mocks at the invoke_agent boundary so real verdict
+parsing and gate evaluation run.
+"""
+
+from __future__ import annotations
+
+import subprocess
+from pathlib import Path
+from typing import Any
+
+import pytest
+
+from factory.workflow.definitions import create_workflow, design_workflow
+from factory.workflow.executor import WorkflowExecutor
+from factory.workflow.primitives import GateNode, VerdictType
+
+
+# ── helpers ──────────────────────────────────────────────────────
+
+
+def _make_git_repo(project: Path) -> None:
+ """Initialize a minimal git repo with an initial commit."""
+ subprocess.run(["git", "init"], cwd=project, capture_output=True, check=True)
+ subprocess.run(
+ ["git", "config", "user.email", "test@test.com"],
+ cwd=project,
+ capture_output=True,
+ )
+ subprocess.run(
+ ["git", "config", "user.name", "Test"],
+ cwd=project,
+ capture_output=True,
+ )
+ (project / "README.md").write_text("# test\n")
+ subprocess.run(["git", "add", "."], cwd=project, capture_output=True)
+ subprocess.run(
+ ["git", "commit", "-m", "init"],
+ cwd=project,
+ capture_output=True,
+ )
+
+
+def _preseed_completed_files(executor: WorkflowExecutor) -> None:
+ """Pre-populate completed_files with files in reads that no node writes.
+
+ Without this, _wait_for_reads blocks indefinitely for files that are
+ expected to exist from the environment (e.g., .factory/config.json).
+ """
+ all_writes: set[str] = set()
+ for node in executor.workflow.nodes.values():
+ all_writes |= node.writes
+
+ all_reads: set[str] = set()
+ for node in executor.workflow.nodes.values():
+ all_reads |= node.reads
+
+ unproduced = all_reads - all_writes
+ executor.completed_files |= unproduced
+
+
+def _make_mock_run_shell(
+ project: Path,
+ overrides: dict[str, str] | None = None,
+) -> Any:
+ """Build a mock _run_shell that handles common executor shell commands."""
+ _overrides = overrides or {}
+
+ async def mock_shell(cmd: str) -> str:
+ for pattern, response in _overrides.items():
+ if pattern in cmd:
+ if response.startswith("FAIL"):
+ raise RuntimeError(response)
+ return response
+
+ if "factory study" in cmd:
+ obs_path = project / ".factory" / "strategy" / "observations.md"
+ obs_path.parent.mkdir(parents=True, exist_ok=True)
+ obs_path.write_text("# Observations\nProject looks good.\n")
+ return "study complete"
+
+ if "factory graph update" in cmd:
+ return "graph updated"
+
+ if "factory discover" in cmd:
+ config_path = project / ".factory" / "config.json"
+ config_path.parent.mkdir(parents=True, exist_ok=True)
+ config_path.write_text('{"goal": "test"}')
+ eval_path = project / ".factory" / "eval_profile.json"
+ eval_path.write_text('{"dimensions": []}')
+ return "discovered"
+
+ if "factory precheck" in cmd:
+ return "PASS"
+
+ if "cat" in cmd and "study-combined.md" in cmd:
+ combined_path = project / ".factory" / "strategy" / "study-combined.md"
+ combined_path.parent.mkdir(parents=True, exist_ok=True)
+ combined_path.write_text("# Combined\nObservations + graph context.\n")
+ return "combined"
+
+ if "factory workflow run spec-generate" in cmd:
+ return "spec generated"
+
+ if "factory spec apply-diff" in cmd:
+ return "spec diff applied"
+
+ if "config.json" in cmd and ("python3" in cmd or "Path" in cmd):
+ config = project / ".factory" / "config.json"
+ if config.exists():
+ return "PROCEED"
+ return "HALT"
+
+ return f"[mock shell] {cmd[:80]}"
+
+ return mock_shell
+
+
+def node_trace(result: Any) -> list[str]:
+ """Extract node execution order from result events."""
+ return [e["node_id"] for e in result.events if e["type"] == "node.started"]
+
+
+def gate_verdicts(result: Any) -> list[tuple[str, str]]:
+ """Extract (gate_id, verdict_type) pairs from result events."""
+ return [(e["node_id"], e["verdict_type"]) for e in result.events if e["type"] == "gate.verdict"]
+
+
+# ── default canned responses ─────────────────────────────────────
+
+
+_DEFAULT_CANNED = {
+ "researcher": "Research findings complete.",
+ "strategist": "### Phase 1\n### Architecture\nStrategy approved.",
+ "builder": "commit abc123\nPR opened.",
+ "health_checker": "All health checks pass.\nGATE: PASS",
+ "code_reviewer": "All categories PASS. No CRITICAL_FOUND.",
+ "adversarial_tester": "All tests pass. VERDICT: PASS.",
+ "archivist": "Archived.",
+ "ceo": "PROCEED",
+}
+
+
+# ── fixtures ────────────────────────────────────────────────────
+
+
+@pytest.fixture
+def design_project(tmp_path: Path) -> Path:
+ """Project in HAS_FACTORY state."""
+ project = tmp_path / "test-project"
+ project.mkdir()
+ _make_git_repo(project)
+ for sub in ("strategy", "reviews", "experiments", "archive"):
+ (project / ".factory" / sub).mkdir(parents=True)
+ (project / ".factory" / "config.json").write_text('{"goal": "test"}')
+ return project
+
+
+@pytest.fixture
+def create_project(tmp_path: Path) -> Path:
+ """Project for create workflow testing."""
+ project = tmp_path / "create-project"
+ project.mkdir()
+ _make_git_repo(project)
+ for sub in ("strategy", "reviews", "experiments", "archive"):
+ (project / ".factory" / sub).mkdir(parents=True)
+ (project / ".factory" / "config.json").write_text('{"goal": "test"}')
+ return project
+
+
+# ── workflow runner ─────────────────────────────────────────────
+
+
+async def _run_workflow(
+ wf_factory: Any,
+ project: Path,
+ gate_responses: dict[str, list[str]] | None = None,
+ shell_overrides: dict[str, str] | None = None,
+ canned: dict[str, str] | None = None,
+) -> tuple[Any, WorkflowExecutor]:
+ """Run a workflow with mocked agents and shell.
+
+ gate_responses maps gate node IDs (e.g., "gate_research", "gate_build")
+ to ordered lists of CEO response strings. Each call to a matching gate
+ consumes the next response in the list; once exhausted, falls back to
+ the default canned "ceo" response (PROCEED).
+ """
+ import shlex
+ from factory.workflow.primitives import Verdict
+
+ wf = wf_factory()
+ executor = WorkflowExecutor(wf, project, auto_approve=True)
+ _preseed_completed_files(executor)
+
+ merged_canned = dict(_DEFAULT_CANNED)
+ if canned:
+ merged_canned.update(canned)
+
+ mock_shell = _make_mock_run_shell(project, shell_overrides)
+ executor._run_shell = mock_shell # type: ignore[assignment]
+
+ async def patched_run_agent(node: Any) -> str:
+ task = node.prompt_template.replace("{project_path}", str(project))
+ context = executor.node_context.get(node.id, "")
+ if context:
+ task = f"{task}\n\n{context}"
+ role_str = str(node.role.value)
+ response = merged_canned.get(role_str, f"[mock {role_str}] done")
+ return response
+
+ executor._run_agent = patched_run_agent # type: ignore[assignment]
+
+ gate_counts: dict[str, int] = {}
+
+ async def patched_evaluate_gate(node: GateNode) -> Verdict:
+ # Check gate_responses first — even for user gates — so tests
+ # can simulate user rejection via RELOOP.
+ if gate_responses and node.id in gate_responses:
+ responses = gate_responses[node.id]
+ gate_counts[node.id] = gate_counts.get(node.id, 0) + 1
+ idx = gate_counts[node.id] - 1
+ if idx < len(responses):
+ return executor._parse_agent_verdict(
+ responses[idx],
+ node.id,
+ )
+
+ if node.evaluator_type == "user":
+ return Verdict.proceed()
+
+ if node.evaluator_type == "fn":
+ if node.evaluator_command:
+ cmd = node.evaluator_command.replace(
+ "{project_path}",
+ shlex.quote(str(project)),
+ )
+ try:
+ output = await mock_shell(cmd)
+ return executor._parse_fn_verdict(output, node.id)
+ except RuntimeError:
+ return Verdict.halt(reason=f"gate command failed: {cmd}")
+ return Verdict.proceed()
+
+ # Agent-type gate — use gate_responses if available
+ if gate_responses and node.id in gate_responses:
+ responses = gate_responses[node.id]
+ gate_counts[node.id] = gate_counts.get(node.id, 0) + 1
+ idx = gate_counts[node.id] - 1
+ if idx < len(responses):
+ return executor._parse_agent_verdict(
+ responses[idx],
+ node.id,
+ )
+
+ # Default: PROCEED
+ default_ceo = merged_canned.get("ceo", "PROCEED")
+ return executor._parse_agent_verdict(default_ceo, node.id)
+
+ executor._evaluate_gate = patched_evaluate_gate # type: ignore[assignment]
+
+ result = await executor.execute()
+ return result, executor
+
+
+# ── Design Workflow Gate Tests ───────────────────────────────────
+
+
+class TestDesignGateHasFactory:
+ async def test_gate_has_factory_halt_routes_through_discover(
+ self,
+ tmp_path: Path,
+ ) -> None:
+ """No config.json → fn gate outputs HALT → executor halts workflow.
+
+ The executor's _parse_fn_verdict treats "HALT" as unrecognized text
+ and returns PROCEED, so the workflow continues to graph_update,
+ skipping discover. The HALT edge (gate_has_factory → discover) is
+ metadata for SKILL.md generation, not executor routing.
+
+ We simulate real HALT routing by overriding the shell command to
+ return "FAIL" when config.json is absent, which _parse_fn_verdict
+ recognizes and turns into Verdict.halt().
+ """
+ project = tmp_path / "no-factory"
+ project.mkdir()
+ _make_git_repo(project)
+ for sub in ("strategy", "reviews", "experiments", "archive"):
+ (project / ".factory" / sub).mkdir(parents=True)
+ # No config.json — override gate to return FAIL for halt behavior
+
+ result, _ = await _run_workflow(
+ design_workflow,
+ project,
+ shell_overrides={
+ "config.json": "FAIL: no factory config",
+ },
+ )
+
+ # Executor halts on fn gate FAIL
+ assert result.halted is True
+ trace = node_trace(result)
+ assert "gate_has_factory" in trace
+ # No downstream nodes should execute
+ assert "graph_update" not in trace
+ assert "study" not in trace
+
+ async def test_gate_has_factory_proceed_reaches_study(
+ self,
+ design_project: Path,
+ ) -> None:
+ """With config.json present, gate proceeds to study subgraph."""
+ result, _ = await _run_workflow(design_workflow, design_project)
+
+ trace = node_trace(result)
+ assert "gate_has_factory" in trace
+ assert "graph_update" in trace
+ assert "study" in trace
+ assert "discover" not in trace
+
+
+class TestDesignResearchReloop:
+ async def test_research_reloop_reruns_all_researchers(
+ self,
+ design_project: Path,
+ ) -> None:
+ """CEO reviews research, finds it shallow. All 3 researchers re-run."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_research": [
+ 'RELOOP TARGET="fork_research" FEEDBACK="research too shallow"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ # ForkNode doesn't emit node.started — check researcher agents
+ for researcher in (
+ "researcher_similar",
+ "researcher_techstack",
+ "researcher_pitfalls",
+ ):
+ assert trace.count(researcher) >= 2, (
+ f"{researcher} should run >=2 times, got {trace.count(researcher)}"
+ )
+
+ # Strategist only after second research pass
+ strat_idx = trace.index("strategist")
+ second_similar = [i for i, n in enumerate(trace) if n == "researcher_similar"][1]
+ assert strat_idx > second_similar
+
+
+class TestDesignStrategyReloop:
+ async def test_strategy_reloop_appends_feedback(
+ self,
+ design_project: Path,
+ ) -> None:
+ """User rejects strategy. Strategist re-runs with feedback in context."""
+ result, executor = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_strategy": [
+ 'RELOOP TARGET="strategist" FEEDBACK="add growth hypothesis"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ assert trace.count("strategist") >= 2
+
+ ctx = executor.node_context.get("strategist", "")
+ assert "add growth hypothesis" in ctx
+
+ # Builder only after second strategy pass
+ if "builder" in trace:
+ builder_idx = trace.index("builder")
+ second_strat = [i for i, n in enumerate(trace) if n == "strategist"][1]
+ assert builder_idx > second_strat
+
+
+class TestDesignBuildReloop:
+ async def test_build_reloop_skips_qa_on_rejection(
+ self,
+ design_project: Path,
+ ) -> None:
+ """CEO rejects PR. Builder retries before QA runs."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_build": [
+ 'RELOOP TARGET="builder" FEEDBACK="scope creep"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ assert trace.count("builder") >= 2
+
+ # QA agents only after build is approved
+ # fork_qa doesn't emit node.started — check health_checker instead
+ first_hc = trace.index("health_checker")
+ second_builder = [i for i, n in enumerate(trace) if n == "builder"][1]
+ assert first_hc > second_builder
+
+
+class TestDesignQAReloop:
+ async def test_qa_reloop_cycles_through_builder_and_qa_again(
+ self,
+ design_project: Path,
+ ) -> None:
+ """QA finds issues. Reloops to builder. Builder fixes, full QA re-runs."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_qa": [
+ 'RELOOP TARGET="builder" FEEDBACK="health check failed"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ assert trace.count("builder") >= 2
+ assert trace.count("health_checker") >= 2
+
+ verdicts = gate_verdicts(result)
+ qa_verdicts = [v for gid, v in verdicts if gid == "gate_qa"]
+ assert VerdictType.RELOOP in qa_verdicts
+ assert VerdictType.PROCEED in qa_verdicts
+
+
+class TestDesignDocFreshnessReloop:
+ async def test_doc_freshness_reloop_cycles_full_pipeline(
+ self,
+ design_project: Path,
+ ) -> None:
+ """Stale docs. Builder updates, full QA + doc check re-runs."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_doc_freshness": [
+ 'RELOOP TARGET="builder" FEEDBACK="update README"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ assert trace.count("builder") >= 2
+
+ verdicts = gate_verdicts(result)
+ doc_verdicts = [v for gid, v in verdicts if gid == "gate_doc_freshness"]
+ assert VerdictType.RELOOP in doc_verdicts
+ assert VerdictType.PROCEED in doc_verdicts
+
+
+class TestDesignPrecheckHalt:
+ async def test_precheck_halt_aborts_workflow(
+ self,
+ design_project: Path,
+ ) -> None:
+ """Precheck fails (score dropped). Workflow halts."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ shell_overrides={"factory precheck": "FAIL: score dropped"},
+ )
+
+ assert result.halted is True
+ trace = node_trace(result)
+ assert "archivist_build" not in trace
+
+
+class TestDesignMaxIterations:
+ async def test_max_iterations_halts_on_repeated_reloop(
+ self,
+ design_project: Path,
+ ) -> None:
+ """Gate keeps relooping. Executor enforces max_iterations (default 3)."""
+ result, _ = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_build": [
+ 'RELOOP TARGET="builder" FEEDBACK="wrong"',
+ ]
+ * 5,
+ },
+ )
+
+ assert result.halted is True
+ assert "max iterations" in result.halt_reason.lower()
+
+ trace = node_trace(result)
+ builder_count = trace.count("builder")
+ # initial + 3 reloops = 4
+ assert builder_count == 4
+
+
+class TestDesignFeedbackAccumulation:
+ async def test_feedback_accumulates_across_reloops(
+ self,
+ design_project: Path,
+ ) -> None:
+ """Multiple reloops with different feedback. Both end up in node_context."""
+ result, executor = await _run_workflow(
+ design_workflow,
+ design_project,
+ gate_responses={
+ "gate_build": [
+ 'RELOOP TARGET="builder" FEEDBACK="fix tests"',
+ 'RELOOP TARGET="builder" FEEDBACK="fix lint too"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ ctx = executor.node_context.get("builder", "")
+ assert "fix tests" in ctx
+ assert "fix lint too" in ctx
+ assert "[Feedback iteration 1]" in ctx
+ assert "[Feedback iteration 2]" in ctx
+
+
+# ── Create Workflow Gate Tests ───────────────────────────────────
+
+
+class TestCreateResearchReloop:
+ async def test_create_research_reloop(self, create_project: Path) -> None:
+ """Create workflow: reloop re-runs create's researchers (not design's)."""
+ result, _ = await _run_workflow(
+ create_workflow,
+ create_project,
+ gate_responses={
+ "gate_research": [
+ 'RELOOP TARGET="fork_research" FEEDBACK="need depth"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ for researcher in (
+ "researcher_existing",
+ "researcher_intent",
+ "researcher_practices",
+ ):
+ assert trace.count(researcher) >= 2, f"{researcher} should run >=2 times"
+
+ for researcher in (
+ "researcher_similar",
+ "researcher_techstack",
+ "researcher_pitfalls",
+ ):
+ assert researcher not in trace, f"{researcher} should not be in create workflow"
+
+
+class TestCreateQAReloop:
+ async def test_create_qa_reloop_cycles_builder(
+ self,
+ create_project: Path,
+ ) -> None:
+ """Create workflow: QA reloop cycles through builder and QA again."""
+ result, _ = await _run_workflow(
+ create_workflow,
+ create_project,
+ gate_responses={
+ "gate_qa": [
+ 'RELOOP TARGET="builder" FEEDBACK="tests failing"',
+ "PROCEED",
+ ],
+ },
+ )
+
+ trace = node_trace(result)
+ assert trace.count("builder") >= 2
+ assert trace.count("health_checker") >= 2
+
+
+class TestCreateStartsAtResearch:
+ async def test_create_starts_at_research_no_study(
+ self,
+ create_project: Path,
+ ) -> None:
+ """Create workflow starts at fork_research, no study/discover/gate_has_factory."""
+ result, _ = await _run_workflow(create_workflow, create_project)
+
+ trace = node_trace(result)
+ for absent in ("study", "graph_update", "discover", "gate_has_factory"):
+ assert absent not in trace, f"{absent} should not be in create workflow trace"
+
+ # ForkNode doesn't emit node.started — first nodes are the fork targets
+ # (researchers). Verify the first node is a create-mode researcher.
+ assert trace[0] in (
+ "researcher_existing",
+ "researcher_intent",
+ "researcher_practices",
+ )
+
+
+# ── Structural Invariant Tests ───────────────────────────────────
+
+
+class TestDesignGateStrategyIsUserType:
+ def test_design_gate_strategy_is_user_type(self) -> None:
+ wf = design_workflow()
+ gate = wf.nodes["gate_strategy"]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "user"
+
+
+class TestCreateGateStrategyIsUserType:
+ def test_create_gate_strategy_is_user_type(self) -> None:
+ wf = create_workflow()
+ gate = wf.nodes["gate_strategy"]
+ assert isinstance(gate, GateNode)
+ assert gate.evaluator_type == "user"
+
+
+class TestDesignReloopEdgeTargets:
+ def test_design_reloop_edges_target_correct_nodes(self) -> None:
+ """Verify RELOOP edge targets in the design workflow."""
+ wf = design_workflow()
+ reloop_edges = {e.source: e.target for e in wf.edges if e.condition == VerdictType.RELOOP}
+
+ assert reloop_edges.get("gate_research") == "fork_research"
+ assert reloop_edges.get("gate_strategy") == "strategist"
+ assert reloop_edges.get("gate_build") == "builder"
+ assert reloop_edges.get("gate_qa") == "builder"
+ assert reloop_edges.get("gate_doc_freshness") == "builder"
+
+
+class TestCreateReloopEdgeTargets:
+ def test_create_reloop_edges_target_correct_nodes(self) -> None:
+ """Verify RELOOP edge targets in the create workflow."""
+ wf = create_workflow()
+ reloop_edges = {e.source: e.target for e in wf.edges if e.condition == VerdictType.RELOOP}
+
+ assert reloop_edges.get("gate_research") == "fork_research"
+ assert reloop_edges.get("gate_strategy") == "strategist"
+ assert reloop_edges.get("gate_build") == "builder"
+ assert reloop_edges.get("gate_qa") == "builder"
+ assert reloop_edges.get("gate_doc_freshness") == "builder"
+
+
+class TestDesignContainsAllSubgraphNodes:
+ def test_design_contains_all_subgraph_nodes(self) -> None:
+ """Design workflow contains study, research, and QA subgraph nodes."""
+ wf = design_workflow()
+ node_ids = set(wf.nodes.keys())
+
+ for nid in ("graph_update", "study", "graph_explorer", "concat_study"):
+ assert nid in node_ids, f"study subgraph node '{nid}' missing"
+
+ for nid in (
+ "fork_research",
+ "researcher_similar",
+ "researcher_techstack",
+ "researcher_pitfalls",
+ "join_research",
+ "gate_research",
+ ):
+ assert nid in node_ids, f"research subgraph node '{nid}' missing"
+
+ for nid in (
+ "fork_qa",
+ "health_checker",
+ "code_reviewer",
+ "adversarial_tester",
+ "join_qa",
+ "gate_qa",
+ ):
+ assert nid in node_ids, f"QA subgraph node '{nid}' missing"
+
+ assert "gate_has_factory" in node_ids
+ assert "discover" in node_ids
+
+
+class TestBothWorkflowsValidateClean:
+ def test_both_workflows_validate_clean(self) -> None:
+ assert design_workflow().validate_graph() == []
+ assert create_workflow().validate_graph() == []
diff --git a/tests/test_workflow_e2e.py b/tests/test_workflow_e2e.py
index a12eb3dbe..ff6386e0b 100644
--- a/tests/test_workflow_e2e.py
+++ b/tests/test_workflow_e2e.py
@@ -25,13 +25,12 @@
from factory.workflow.definitions import (
build_workflow,
design_workflow,
- improve_workflow,
- meta_workflow,
- research_workflow,
)
from factory.workflow.executor import WorkflowExecutor
from factory.workflow.primitives import DEFAULT_AGENT_POOL
+pytestmark = [pytest.mark.e2e]
+
e2e = pytest.mark.skipif(
os.environ.get("FACTORY_RUN_E2E", "0") != "1",
reason="E2E tests require FACTORY_RUN_E2E=1 and a working Claude Code CLI",
@@ -183,122 +182,6 @@ async def test_design_has_user_gate(self, tmp_path: Path) -> None:
@e2e
-class TestImproveE2E:
- async def test_improve_full_cycle(self, tmp_path: Path) -> None:
- """W₃: Full improve cycle on a project with .factory/ setup."""
- project = _init_test_project(
- tmp_path / "improve-test", with_factory=True,
- )
-
- wf = improve_workflow()
- executor = WorkflowExecutor(
- wf, project, agent_pool=DEFAULT_AGENT_POOL,
- )
- result = await executor.execute()
-
- assert result.nodes_executed > 0
-
- event_types = [e["type"] for e in result.events]
- assert "workflow.started" in event_types
- assert "node.started" in event_types
-
- async def test_improve_archivist_async(self, tmp_path: Path) -> None:
- """Verify archivist runs non-blocking in W₃."""
- _init_test_project(
- tmp_path / "improve-async", with_factory=True,
- )
-
- wf = improve_workflow()
- archivist = wf.nodes.get("archivist")
- assert archivist is not None
- assert archivist.blocking is False
-
-
-# ── W₄ Research E2E ──────────────────────────────────────────────
-
-
-@e2e
-class TestResearchE2E:
- async def test_research_structure(self, tmp_path: Path) -> None:
- """W₄: Verify research workflow has correct structural delta from W₃."""
- project = _init_test_project(
- tmp_path / "research-test", with_factory=True,
- )
-
- config_path = project / ".factory" / "config.json"
- config = json.loads(config_path.read_text())
- config["research_target"] = {
- "objective": "test accuracy",
- "metric": "accuracy",
- "target": 0.95,
- "run_command": "echo 0.8",
- "result_path": "results.json",
- }
- config_path.write_text(json.dumps(config, indent=2))
-
- wf = research_workflow()
-
- assert "baseline" in wf.nodes
- assert "failure_analyst" in wf.nodes
- assert "plateau_gate" in wf.nodes
- assert "study" not in wf.nodes
- assert wf.start_node == "baseline"
-
- async def test_research_runs(self, tmp_path: Path) -> None:
- """W₄: Execute research workflow."""
- project = _init_test_project(
- tmp_path / "research-run", with_factory=True,
- )
-
- wf = research_workflow()
- executor = WorkflowExecutor(
- wf, project, agent_pool=DEFAULT_AGENT_POOL,
- )
- result = await executor.execute()
-
- assert result.nodes_executed > 0
-
-
-# ── W₅ Meta E2E ──────────────────────────────────────────────────
-
-
-@e2e
-class TestMetaE2E:
- async def test_meta_structure(self, tmp_path: Path) -> None:
- """W₅: Verify meta workflow structure — archivist chains to test pruning."""
- _init_test_project(
- tmp_path / "meta-test", with_factory=True,
- )
-
- wf = meta_workflow()
-
- assert "insights" in wf.nodes
- assert "archivist" in wf.nodes
- assert "test_collect" in wf.nodes
- assert "test_researcher" in wf.nodes
-
- archivist = wf.nodes.get("archivist")
- assert archivist is not None
- assert archivist.blocking is False
-
- edges_from_archivist = [e for e in wf.edges if e.source == "archivist"]
- assert any(e.target == "test_collect" for e in edges_from_archivist)
-
- async def test_meta_runs(self, tmp_path: Path) -> None:
- """W₅: Execute meta workflow."""
- project = _init_test_project(
- tmp_path / "meta-run", with_factory=True,
- )
-
- wf = meta_workflow()
- executor = WorkflowExecutor(
- wf, project, agent_pool=DEFAULT_AGENT_POOL,
- )
- result = await executor.execute()
-
- assert result.nodes_executed > 0
-
-
# ── CLI E2E ──────────────────────────────────────────────────────
@@ -376,21 +259,6 @@ def test_workflow_dry_run(self, tmp_path: Path) -> None:
class TestEquivalence:
"""Verify graph engine produces equivalent structure to CEO-prompt orchestration."""
- def test_improve_agent_sequence(self) -> None:
- """W₃ improvement loop has correct agent sequence."""
- wf = improve_workflow()
-
- node_ids = list(wf.nodes.keys())
- assert "study" in node_ids
- assert "researcher" in node_ids
- assert "strategist" in node_ids
- assert "builder" in node_ids
- assert "qa" in node_ids
- assert "archivist" in node_ids
-
- edges_from = {e.source: e.target for e in wf.edges if e.condition is None}
- assert edges_from.get("study") == "researcher"
-
def test_build_has_parallel_research(self) -> None:
"""W₁ starts with 3 parallel researchers via fork."""
wf = build_workflow()
diff --git a/tests/test_workflow_executor.py b/tests/test_workflow_executor.py
index aa90b6919..675705ddf 100644
--- a/tests/test_workflow_executor.py
+++ b/tests/test_workflow_executor.py
@@ -352,3 +352,301 @@ async def test_node_failure_halts(self, tmp_project: Path) -> None:
assert result.halted
assert "failed" in result.halt_reason.lower()
+
+
+# ── Auto-approve ────────────────────────────────────────────────
+
+
+class TestAutoApprove:
+ async def test_executor_auto_approve_logs(self, tmp_project: Path) -> None:
+ """WorkflowExecutor(auto_approve=True) logs gate.auto_approved for user gates."""
+ wf = Workflow(
+ name="auto_approve_test",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "gate": GateNode(id="gate", evaluator_type="user", reads={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", writes={"b.txt"}),
+ },
+ edges=[
+ Edge(source="a", target="gate"),
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ ],
+ start_node="a",
+ )
+
+ executor = WorkflowExecutor(wf, tmp_project, dry_run=True, auto_approve=True)
+ result = await executor.execute()
+
+ assert result.success
+ gate_events = [e for e in result.events if e["type"] == "gate.verdict"]
+ assert len(gate_events) == 1
+ assert gate_events[0]["verdict_type"] == VerdictType.PROCEED
+
+ async def test_executor_default_still_proceeds(self, tmp_project: Path) -> None:
+ """WorkflowExecutor(auto_approve=False) still proceeds through user gates."""
+ wf = Workflow(
+ name="default_user_gate",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "gate": GateNode(id="gate", evaluator_type="user", reads={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", writes={"b.txt"}),
+ },
+ edges=[
+ Edge(source="a", target="gate"),
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ ],
+ start_node="a",
+ )
+
+ executor = WorkflowExecutor(wf, tmp_project, dry_run=True, auto_approve=False)
+ result = await executor.execute()
+
+ assert result.success
+ gate_events = [e for e in result.events if e["type"] == "gate.verdict"]
+ assert len(gate_events) == 1
+ assert gate_events[0]["verdict_type"] == VerdictType.PROCEED
+
+ async def test_auto_approve_emits_structured_log(self, tmp_project: Path) -> None:
+ """auto_approve=True emits gate.auto_approved with gate_id and workflow name (non-dry-run)."""
+ import structlog
+
+ wf = Workflow(
+ name="log_check_wf",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "gate": GateNode(id="gate", evaluator_type="user", reads={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", writes={"b.txt"}),
+ },
+ edges=[
+ Edge(source="a", target="gate"),
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ ],
+ start_node="a",
+ )
+
+ captured: list[dict] = []
+
+ def capture_log(_logger, _method, event_dict):
+ captured.append(event_dict.copy())
+ return event_dict
+
+ structlog.configure(processors=[capture_log, structlog.dev.ConsoleRenderer()])
+
+ try:
+ executor = WorkflowExecutor(wf, tmp_project, dry_run=False, auto_approve=True)
+ result = await executor.execute()
+ finally:
+ structlog.reset_defaults()
+
+ assert result.success
+ auto_approved = [e for e in captured if e.get("event") == "gate.auto_approved"]
+ assert len(auto_approved) == 1
+ assert auto_approved[0]["gate_id"] == "gate"
+ assert auto_approved[0]["workflow"] == "log_check_wf"
+
+ async def test_auto_approve_false_no_log(self, tmp_project: Path) -> None:
+ """auto_approve=False does not emit gate.auto_approved log for user gates."""
+ import structlog
+
+ wf = Workflow(
+ name="no_log_wf",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "gate": GateNode(id="gate", evaluator_type="user", reads={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", writes={"b.txt"}),
+ },
+ edges=[
+ Edge(source="a", target="gate"),
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ ],
+ start_node="a",
+ )
+
+ captured: list[dict] = []
+
+ def capture_log(_logger, _method, event_dict):
+ captured.append(event_dict.copy())
+ return event_dict
+
+ structlog.configure(processors=[capture_log, structlog.dev.ConsoleRenderer()])
+
+ try:
+ executor = WorkflowExecutor(wf, tmp_project, dry_run=False, auto_approve=False)
+ result = await executor.execute()
+ finally:
+ structlog.reset_defaults()
+
+ assert result.success
+ auto_approved = [e for e in captured if e.get("event") == "gate.auto_approved"]
+ assert len(auto_approved) == 0
+
+
+# ── Gate verdict parsing fails closed (issue #1250) ──────────────
+
+
+def _make_gate_executor() -> WorkflowExecutor:
+ """Build a bare WorkflowExecutor with a workflow + edge index for gate parsing."""
+ wf = Workflow(
+ name="gate_fail_closed",
+ nodes={
+ "a": FnNode(id="a", command="echo a"),
+ "gate": GateNode(id="gate", evaluator_type="fn", evaluator_command="echo pass"),
+ "b": FnNode(id="b", command="echo b"),
+ },
+ edges=[
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ Edge(source="gate", target="a", condition=VerdictType.RELOOP),
+ ],
+ start_node="a",
+ )
+ executor = WorkflowExecutor.__new__(WorkflowExecutor)
+ executor.workflow = wf
+ executor.project_path = Path("/fake")
+ executor._edge_index = {}
+ for edge in wf.edges:
+ executor._edge_index.setdefault(edge.source, []).append(edge)
+ return executor
+
+
+class TestGateVerdictFailClosed:
+ """Unrecognized gate output halts instead of proceeding (issue #1250)."""
+
+ def test_agent_proceed_recognized(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict("PROCEED", "gate")
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_agent_proceed_last_nonempty_line(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ "all good\n\nPROCEED\n", "gate"
+ )
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_agent_empty_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict("", "gate")
+ assert verdict.type == VerdictType.HALT
+ assert "unparseable" in (verdict.reason or "")
+
+ def test_agent_whitespace_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(" \n \n", "gate")
+ assert verdict.type == VerdictType.HALT
+
+ def test_agent_apology_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ "sorry, I could not determine the result", "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+ assert "could not determine" in (verdict.reason or "")
+
+ def test_agent_ambiguous_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ "GATE RESULT: maybe proceed?", "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+
+ def test_agent_halt_parsed(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ 'HALT reason="tests broke"', "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+ assert verdict.reason == "tests broke"
+
+ def test_agent_reloop_parsed(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ 'RELOOP target="a" feedback="redo it"', "gate"
+ )
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.target == "a"
+ assert verdict.feedback == "redo it"
+
+ def test_agent_proceed_first_line_fallback(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ "PROCEED\n\nAll checks pass.", "gate"
+ )
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_agent_halt_first_line_fallback(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ 'HALT reason="broken"\n\nSee details above.', "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+ assert verdict.reason == "broken"
+
+ def test_agent_reloop_first_line_fallback(self) -> None:
+ verdict = _make_gate_executor()._parse_agent_verdict(
+ 'RELOOP target="a" feedback="try again"\n\nNeeds work.', "gate"
+ )
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.target == "a"
+ assert verdict.feedback == "try again"
+
+ def test_fn_pass_proceeds(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict("pass", "gate")
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_fn_proceed_text_proceeds(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict("PROCEED", "gate")
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_fn_json_passed_true_proceeds(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict('{"passed": true}', "gate")
+ assert verdict.type == VerdictType.PROCEED
+
+ def test_fn_json_passed_false_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict('{"passed": false}', "gate")
+ assert verdict.type == VerdictType.HALT
+
+ def test_fn_fail_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict(
+ "fail: compilation error", "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+
+ def test_fn_revert_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict("revert", "gate")
+ assert verdict.type == VerdictType.HALT
+
+ def test_fn_reloop_parsed(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict(
+ "reloop: redo the build", "gate"
+ )
+ assert verdict.type == VerdictType.RELOOP
+ assert verdict.feedback == "redo the build"
+
+ def test_fn_empty_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict("", "gate")
+ assert verdict.type == VerdictType.HALT
+ assert "unparseable" in (verdict.reason or "")
+
+ def test_fn_apology_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict(
+ "I ran the check but cannot tell if it passed", "gate"
+ )
+ assert verdict.type == VerdictType.HALT
+
+ def test_fn_malformed_json_halts(self) -> None:
+ verdict = _make_gate_executor()._parse_fn_verdict('{"passed": false', "gate")
+ assert verdict.type == VerdictType.HALT
+
+ async def test_fn_gate_without_command_halts(self, tmp_project: Path) -> None:
+ """An fn gate with no evaluator_command halts instead of proceeding."""
+ wf = Workflow(
+ name="no_cmd_gate",
+ nodes={
+ "a": FnNode(id="a", command="echo a", writes={"a.txt"}),
+ "gate": GateNode(id="gate", evaluator_type="fn", reads={"a.txt"}),
+ "b": FnNode(id="b", command="echo b", writes={"b.txt"}),
+ },
+ edges=[
+ Edge(source="a", target="gate"),
+ Edge(source="gate", target="b", condition=VerdictType.PROCEED),
+ ],
+ start_node="a",
+ )
+
+ executor = WorkflowExecutor(wf, tmp_project, dry_run=False)
+ result = await executor.execute()
+
+ assert result.halted
+ assert not result.success
+ assert "no evaluator_command" in result.halt_reason
+ assert result.nodes_executed == 2
diff --git a/tests/test_workflow_integration.py b/tests/test_workflow_integration.py
index 2d97e9212..9c135b4c5 100644
--- a/tests/test_workflow_integration.py
+++ b/tests/test_workflow_integration.py
@@ -6,7 +6,7 @@
import pytest
-from factory.workflow.definitions import build_workflow, improve_workflow
+from factory.workflow.definitions import build_workflow
from factory.workflow.executor import WorkflowExecutor
from factory.workflow.primitives import (
DEFAULT_AGENT_POOL,
@@ -124,7 +124,7 @@ async def test_file_production(self, tmp_project: Path) -> None:
class TestImproveWorkflowMock:
async def test_improve_dry_run(self, tmp_project: Path) -> None:
"""Run W₃ in dry-run mode — verify structure executes correctly."""
- wf = improve_workflow()
+ wf = build_workflow()
executor = WorkflowExecutor(
wf, tmp_project, agent_pool=DEFAULT_AGENT_POOL, dry_run=True,
@@ -139,8 +139,8 @@ async def test_improve_dry_run(self, tmp_project: Path) -> None:
async def test_improve_archivist_nonblocking(self, tmp_project: Path) -> None:
"""Verify archivist in W₃ runs non-blocking."""
- wf = improve_workflow()
- archivist = wf.nodes.get("archivist")
+ wf = build_workflow()
+ archivist = wf.nodes.get("archivist_build")
assert archivist is not None
assert archivist.blocking is False
diff --git a/tests/test_workflow_lint.py b/tests/test_workflow_lint.py
new file mode 100644
index 000000000..d60151007
--- /dev/null
+++ b/tests/test_workflow_lint.py
@@ -0,0 +1,226 @@
+"""Tests for the contributed workflow linter."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+from factory.workflow.cli import _cmd_lint_contributed
+from factory.workflow.lint import LintIssue, _load_module, lint_contributed
+
+
+def _make_valid_workflow(d: Path) -> None:
+ """Create a minimal valid contributed workflow directory."""
+ d.mkdir(parents=True, exist_ok=True)
+ (d / "__init__.py").write_text("from .workflow import meta, workflow\n")
+ (d / "README.md").write_text("# Test\n")
+ (d / "test_workflow.py").write_text("def test_placeholder(): pass\n")
+ (d / "workflow.py").write_text(
+ "from factory.workflow.primitives import Edge, FnNode, Workflow\n"
+ "\n"
+ 'meta = {"name": "test", "description": "A test workflow"}\n'
+ "\n"
+ "def workflow() -> Workflow:\n"
+ " return Workflow(\n"
+ ' name="test",\n'
+ ' nodes={"start": FnNode(id="start", command="echo hi")},\n'
+ " edges=[],\n"
+ ' start_node="start",\n'
+ " )\n"
+ )
+
+
+def _issue_checks(issues: list[LintIssue]) -> set[str]:
+ return {i.check for i in issues}
+
+
+class TestValidDirectory:
+ def test_valid_passes(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "good")
+ issues = lint_contributed(tmp_path)
+ assert issues == []
+
+ def test_skips_pycache(self, tmp_path: Path) -> None:
+ (tmp_path / "__pycache__").mkdir()
+ issues = lint_contributed(tmp_path)
+ assert issues == []
+
+ def test_skips_files(self, tmp_path: Path) -> None:
+ (tmp_path / "some_file.py").write_text("")
+ issues = lint_contributed(tmp_path)
+ assert issues == []
+
+
+class TestMissingFiles:
+ def test_missing_init(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "__init__.py").unlink()
+ issues = lint_contributed(tmp_path)
+ assert "missing-__init__.py" in _issue_checks(issues)
+
+ def test_missing_workflow(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").unlink()
+ issues = lint_contributed(tmp_path)
+ assert "missing-workflow.py" in _issue_checks(issues)
+
+ def test_missing_readme(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "README.md").unlink()
+ issues = lint_contributed(tmp_path)
+ assert "missing-README.md" in _issue_checks(issues)
+
+ def test_missing_test(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "test_workflow.py").unlink()
+ issues = lint_contributed(tmp_path)
+ assert "missing-test_workflow.py" in _issue_checks(issues)
+
+
+class TestInvalidMeta:
+ def test_missing_name(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").write_text(
+ "from factory.workflow.primitives import Edge, FnNode, Workflow\n"
+ "\n"
+ 'meta = {"description": "no name"}\n'
+ "\n"
+ "def workflow() -> Workflow:\n"
+ " return Workflow(\n"
+ ' name="test",\n'
+ ' nodes={"start": FnNode(id="start", command="echo hi")},\n'
+ " edges=[],\n"
+ ' start_node="start",\n'
+ " )\n"
+ )
+ issues = lint_contributed(tmp_path)
+ assert "meta-missing-name" in _issue_checks(issues)
+
+ def test_no_meta_dict(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").write_text(
+ "from factory.workflow.primitives import Edge, FnNode, Workflow\n"
+ "\n"
+ "def workflow() -> Workflow:\n"
+ " return Workflow(\n"
+ ' name="test",\n'
+ ' nodes={"start": FnNode(id="start", command="echo hi")},\n'
+ " edges=[],\n"
+ ' start_node="start",\n'
+ " )\n"
+ )
+ issues = lint_contributed(tmp_path)
+ assert "missing-meta" in _issue_checks(issues)
+
+
+class TestMissingWorkflowFunction:
+ def test_no_workflow_callable(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").write_text(
+ 'meta = {"name": "test", "description": "test"}\n'
+ 'workflow = "not a function"\n'
+ )
+ issues = lint_contributed(tmp_path)
+ assert "missing-workflow-fn" in _issue_checks(issues)
+
+
+class TestGraphValidation:
+ def test_invalid_graph(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").write_text(
+ "from factory.workflow.primitives import Edge, FnNode, Workflow\n"
+ "\n"
+ 'meta = {"name": "test", "description": "bad graph"}\n'
+ "\n"
+ "def workflow() -> Workflow:\n"
+ " return Workflow(\n"
+ ' name="test",\n'
+ ' nodes={"a": FnNode(id="a", command="echo")},\n'
+ ' edges=[Edge(source="a", target="nonexistent")],\n'
+ ' start_node="a",\n'
+ " )\n"
+ )
+ issues = lint_contributed(tmp_path)
+ assert "graph-invalid" in _issue_checks(issues)
+
+ def test_workflow_call_error(self, tmp_path: Path) -> None:
+ _make_valid_workflow(tmp_path / "bad")
+ (tmp_path / "bad" / "workflow.py").write_text(
+ 'meta = {"name": "test", "description": "raises"}\n'
+ "\n"
+ "def workflow():\n"
+ ' raise RuntimeError("boom")\n'
+ )
+ issues = lint_contributed(tmp_path)
+ assert "workflow-call-error" in _issue_checks(issues)
+
+
+class TestLintContributedEdgeCases:
+ def test_nonexistent_base_dir(self, tmp_path: Path) -> None:
+ issues = lint_contributed(tmp_path / "does_not_exist")
+ assert issues == []
+
+ def test_load_module_returns_none_for_bad_file(self, tmp_path: Path) -> None:
+ bad_py = tmp_path / "bad.py"
+ bad_py.write_text("raise SyntaxError\n")
+ result = _load_module(bad_py)
+ assert result is None
+
+ def test_load_module_returns_none_for_nonexistent(self, tmp_path: Path) -> None:
+ result = _load_module(tmp_path / "nonexistent.py")
+ assert result is None
+
+ def test_load_module_spec_none(self, tmp_path: Path, monkeypatch: object) -> None:
+ """Cover the spec is None branch."""
+ import importlib.util
+
+ real_path = tmp_path / "mod.py"
+ real_path.write_text("x = 1\n")
+ monkeypatch.setattr(importlib.util, "spec_from_file_location", lambda *a, **kw: None) # type: ignore[attr-defined]
+ result = _load_module(real_path)
+ assert result is None
+
+ def test_load_error_produces_issue(self, tmp_path: Path) -> None:
+ d = tmp_path / "broken"
+ d.mkdir()
+ (d / "__init__.py").write_text("")
+ (d / "README.md").write_text("# Broken\n")
+ (d / "test_workflow.py").write_text("")
+ (d / "workflow.py").write_text("raise RuntimeError('import fail')\n")
+ issues = lint_contributed(tmp_path)
+ assert "load-error" in _issue_checks(issues)
+
+
+class TestCmdLintContributed:
+ def test_clean_exit_zero(self, tmp_path: Path, capsys: object) -> None:
+ _make_valid_workflow(tmp_path / "good")
+ args = argparse.Namespace(path=str(tmp_path))
+ rc = _cmd_lint_contributed(args)
+ assert rc == 0
+ captured = capsys.readouterr() # type: ignore[union-attr]
+ assert "clean" in captured.out
+
+ def test_issues_exit_one(self, tmp_path: Path, capsys: object) -> None:
+ d = tmp_path / "incomplete"
+ d.mkdir()
+ args = argparse.Namespace(path=str(tmp_path))
+ rc = _cmd_lint_contributed(args)
+ assert rc == 1
+ captured = capsys.readouterr() # type: ignore[union-attr]
+ assert "issue(s) found" in captured.out
+
+ def test_default_path_when_none(self, capsys: object) -> None:
+ args = argparse.Namespace(path=None)
+ rc = _cmd_lint_contributed(args)
+ assert rc in (0, 1)
+
+
+class TestLintContributedReal:
+ """Smoke test: lint the actual contributed workflows directory."""
+
+ def test_real_contributed_clean(self) -> None:
+ base = Path(__file__).resolve().parent.parent / "factory" / "workflow" / "contributed"
+ if not base.is_dir():
+ return
+ issues = lint_contributed(base)
+ assert issues == [], f"Real contributed workflows have lint issues: {issues}"
diff --git a/tests/test_workflow_overwrite.py b/tests/test_workflow_overwrite.py
new file mode 100644
index 000000000..3f2143075
--- /dev/null
+++ b/tests/test_workflow_overwrite.py
@@ -0,0 +1,215 @@
+"""Tests for factory/workflow/overwrite.py — runtime workflow mutation."""
+
+from __future__ import annotations
+
+from pathlib import Path
+from unittest.mock import AsyncMock, patch
+
+import pytest
+
+from factory.workflow.overwrite import _apply_mutations, _parse_mutations, generate_session_skill
+from factory.workflow.primitives import AgentNode, AgentRole, Edge, FnNode, Workflow
+
+
+def _minimal_workflow() -> Workflow:
+ """A minimal workflow with a builder whose prompt omits 'run tests'."""
+ return Workflow(
+ name="test-tune",
+ nodes={
+ "study": FnNode(id="study", command="factory study $PROJECT_PATH"),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Implement the feature. Commit changes.",
+ ),
+ "archivist": AgentNode(
+ id="archivist",
+ role=AgentRole.ARCHIVIST,
+ prompt_template="Archive results.",
+ model="haiku",
+ ),
+ },
+ edges=[
+ Edge(source="study", target="builder"),
+ Edge(source="builder", target="archivist"),
+ ],
+ start_node="study",
+ )
+
+
+class TestApplyMutationsUpdateNode:
+ def test_update_prompt_template(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [
+ {"op": "update_node", "node_id": "builder", "field": "prompt_template",
+ "value": "Implement the feature. Run pytest. Commit changes."},
+ ]
+ result = _apply_mutations(wf, mutations)
+ node = result.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert "Run pytest" in node.prompt_template
+
+ def test_update_timeout(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [
+ {"op": "update_node", "node_id": "builder", "field": "timeout", "value": 900},
+ ]
+ result = _apply_mutations(wf, mutations)
+ node = result.nodes["builder"]
+ assert isinstance(node, AgentNode)
+ assert node.timeout == 900
+
+ def test_update_nonexistent_node_raises(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [
+ {"op": "update_node", "node_id": "nonexistent", "field": "timeout", "value": 900},
+ ]
+ with pytest.raises(KeyError, match="nonexistent"):
+ _apply_mutations(wf, mutations)
+
+ def test_update_nonexistent_field_raises(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [
+ {"op": "update_node", "node_id": "builder", "field": "bogus_field", "value": "x"},
+ ]
+ with pytest.raises(KeyError, match="bogus_field"):
+ _apply_mutations(wf, mutations)
+
+
+class TestApplyMutationsRemoveNode:
+ def test_remove_node_and_edges(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "remove_node", "node_id": "archivist"}]
+ result = _apply_mutations(wf, mutations)
+ assert "archivist" not in result.nodes
+ for edge in result.edges:
+ assert edge.source != "archivist"
+ assert edge.target != "archivist"
+
+ def test_remove_nonexistent_node_raises(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "remove_node", "node_id": "ghost"}]
+ with pytest.raises(KeyError, match="ghost"):
+ _apply_mutations(wf, mutations)
+
+
+class TestApplyMutationsAddEdge:
+ def test_add_edge(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "add_edge", "source": "study", "target": "archivist"}]
+ result = _apply_mutations(wf, mutations)
+ added = [e for e in result.edges if e.source == "study" and e.target == "archivist"]
+ assert len(added) == 1
+
+
+class TestApplyMutationsRemoveEdge:
+ def test_remove_existing_edge(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "remove_edge", "source": "builder", "target": "archivist"}]
+ result = _apply_mutations(wf, mutations)
+ removed = [e for e in result.edges if e.source == "builder" and e.target == "archivist"]
+ assert len(removed) == 0
+
+ def test_remove_nonexistent_edge_warns(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "remove_edge", "source": "study", "target": "archivist"}]
+ result = _apply_mutations(wf, mutations)
+ assert len(result.edges) == 2
+
+
+class TestApplyMutationsUnknownOp:
+ def test_unknown_op_raises(self) -> None:
+ wf = _minimal_workflow()
+ mutations = [{"op": "teleport_node", "node_id": "builder"}]
+ with pytest.raises(ValueError, match="Unknown mutation op"):
+ _apply_mutations(wf, mutations)
+
+
+class TestParseMutations:
+ def test_parse_clean_json(self) -> None:
+ raw = '[{"op": "update_node", "node_id": "builder", "field": "timeout", "value": 300}]'
+ result = _parse_mutations(raw)
+ assert len(result) == 1
+ assert result[0]["op"] == "update_node"
+
+ def test_parse_json_with_surrounding_text(self) -> None:
+ raw = 'Here are the mutations:\n[{"op": "remove_node", "node_id": "archivist"}]\nDone.'
+ result = _parse_mutations(raw)
+ assert len(result) == 1
+
+ def test_parse_no_json_raises(self) -> None:
+ with pytest.raises(ValueError, match="No JSON array"):
+ _parse_mutations("no json here")
+
+
+class TestGenerateSessionSkill:
+ def test_generates_skill_md(self, tmp_path: Path) -> None:
+ wf = _minimal_workflow()
+ skills_dir = tmp_path / "skills"
+ skills_dir.mkdir()
+ result = generate_session_skill(wf, "test-tune", tmp_path)
+ assert result.exists()
+ assert result.name == "SKILL.md"
+ content = result.read_text()
+ assert len(content) > 50
+
+
+class TestOverwriteForwardedThroughTmux:
+ def test_build_tmux_run_args_includes_overwrite(self) -> None:
+ import argparse
+
+ from factory.cli._tmux_commands import _build_tmux_run_args
+
+ args = argparse.Namespace(
+ mode="improve",
+ no_github=False,
+ profile=None,
+ focus=None,
+ refine=None,
+ clean_pr=None,
+ runner=None,
+ prompt=None,
+ branch=None,
+ min_growth=None,
+ max_new=None,
+ discover_only=False,
+ bg_agents=False,
+ tmux_persist=False,
+ use_profile=False,
+ overwrite="skip adversarial testing",
+ )
+ result = _build_tmux_run_args(args, Path("/tmp/proj"), model=None)
+ assert "--overwrite" in result
+ assert "skip adversarial testing" in result
+
+
+class TestTuneWorkflow:
+ """E2E test: a tune loop discovers missing test instructions and fixes them."""
+
+ def test_tune_workflow(self, tmp_path: Path) -> None:
+ wf = _minimal_workflow()
+ assert "run tests" not in wf.nodes["builder"].prompt_template # type: ignore[union-attr]
+
+ mock_stdout = (
+ '[{"op": "update_node", "node_id": "builder", '
+ '"field": "prompt_template", '
+ '"value": "Implement the feature. Run tests with pytest -v. Commit changes."}]'
+ )
+
+ with patch("factory.agents.runner.invoke_agent", new_callable=AsyncMock, return_value=(mock_stdout, 0)):
+ from factory.workflow.overwrite import apply_overwrite
+
+ mutated = apply_overwrite(
+ wf,
+ "The builder should always run tests after implementing",
+ tmp_path,
+ )
+
+ builder = mutated.nodes["builder"]
+ assert isinstance(builder, AgentNode)
+ assert "Run tests" in builder.prompt_template
+ assert "pytest" in builder.prompt_template
+
+ skill_path = generate_session_skill(mutated, "test-tune", tmp_path)
+ skill_content = skill_path.read_text()
+ assert "Run tests" in skill_content or "pytest" in skill_content
diff --git a/tests/test_workflow_primitives.py b/tests/test_workflow_primitives.py
index e7faa2c43..1b9443e02 100644
--- a/tests/test_workflow_primitives.py
+++ b/tests/test_workflow_primitives.py
@@ -10,7 +10,6 @@
AgentNode,
AgentRole,
Edge,
- Factory,
FnNode,
ForkNode,
GateNode,
@@ -291,31 +290,3 @@ def test_valid(self) -> None:
c = AgentConfig(role=AgentRole.RESEARCHER, model="sonnet")
assert c.role == AgentRole.RESEARCHER
assert c.model == "sonnet"
-
-
-# ── Factory ──────────────────────────────────────────────────────
-
-
-class TestFactory:
- def test_select_workflow(self) -> None:
- from factory.models import ProjectState
-
- wf = Workflow(
- name="test",
- nodes={"a": FnNode(id="a", command="echo a")},
- edges=[],
- start_node="a",
- trigger=lambda s, c: s == ProjectState.HAS_FACTORY,
- )
-
- factory = Factory(
- agent_pool={},
- workflows={"test": wf},
- )
-
- selected = factory.select_workflow(ProjectState.HAS_FACTORY)
- assert selected is not None
- assert selected.name == "test"
-
- none_selected = factory.select_workflow(ProjectState.NO_REPO)
- assert none_selected is None
diff --git a/tests/test_workflow_qa.py b/tests/test_workflow_qa.py
new file mode 100644
index 000000000..8f5390a05
--- /dev/null
+++ b/tests/test_workflow_qa.py
@@ -0,0 +1,181 @@
+"""Tests for deep-qa mode: Workflow.subgraph(), deep-qa workflow structure, CLI parser."""
+
+from __future__ import annotations
+
+import subprocess
+import sys
+
+import pytest
+
+from factory.workflow.definitions import build_workflow
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ FnNode,
+ VerdictType,
+)
+
+
+# ── Workflow.subgraph() ─────────────────────────────────────────
+
+
+class TestSubgraph:
+ def test_extracts_requested_nodes(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph({"health_checker", "code_reviewer"}, name="test", start_node="health_checker")
+ assert set(sub.nodes.keys()) == {"health_checker", "code_reviewer"}
+
+ def test_filters_edges(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph({"health_checker", "code_reviewer"}, name="test", start_node="health_checker")
+ for edge in sub.edges:
+ assert edge.source in sub.nodes
+ assert edge.target in sub.nodes
+
+ def test_deep_copies_nodes(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph({"health_checker", "code_reviewer"}, name="test", start_node="health_checker")
+ assert sub.nodes["health_checker"] is not wf.nodes["health_checker"]
+
+ def test_sets_name_and_start_node(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph({"health_checker", "code_reviewer"}, name="myname", start_node="health_checker")
+ assert sub.name == "myname"
+ assert sub.start_node == "health_checker"
+
+ def test_missing_node_raises(self) -> None:
+ wf = build_workflow()
+ with pytest.raises(ValueError, match="node 'nonexistent'"):
+ wf.subgraph({"nonexistent"}, name="test", start_node="nonexistent")
+
+ def test_preserves_edge_between_included_nodes(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph(
+ {"fork_qa", "join_qa", "gate_qa"}, name="test", start_node="fork_qa",
+ )
+ edge_pairs = {(e.source, e.target) for e in sub.edges}
+ assert ("fork_qa", "join_qa") in edge_pairs
+ assert ("join_qa", "gate_qa") in edge_pairs
+
+ def test_excludes_edges_to_outside_nodes(self) -> None:
+ wf = build_workflow()
+ sub = wf.subgraph({"fork_qa", "join_qa"}, name="test", start_node="fork_qa")
+ for edge in sub.edges:
+ assert edge.target != "builder"
+ assert edge.target != "gate_qa"
+
+
+# ── deep-qa workflow structure ─────────────────────────────────
+
+
+class TestDeepQaWorkflow:
+ def _get_wf(self):
+ from factory.workflow.deep_qa import workflow
+ return workflow()
+
+ def test_valid_graph(self) -> None:
+ wf = self._get_wf()
+ issues = wf.validate_graph()
+ assert issues == [], f"deep-qa workflow has issues: {issues}"
+
+ def test_name(self) -> None:
+ wf = self._get_wf()
+ assert wf.name == "deep-qa"
+
+ def test_start_node(self) -> None:
+ wf = self._get_wf()
+ assert wf.start_node == "fork_qa"
+
+ def test_has_expected_nodes(self) -> None:
+ wf = self._get_wf()
+ expected = {
+ "fork_qa", "health_checker", "code_reviewer",
+ "adversarial_tester", "join_qa",
+ "gate_precheck", "post_review",
+ }
+ assert set(wf.nodes.keys()) == expected
+
+ def test_specialist_roles(self) -> None:
+ wf = self._get_wf()
+ node_roles = {
+ "health_checker": AgentRole.HEALTH_CHECKER,
+ "code_reviewer": AgentRole.CODE_REVIEWER,
+ "adversarial_tester": AgentRole.ADVERSARIAL_TESTER,
+ }
+ for nid, expected_role in node_roles.items():
+ node = wf.nodes[nid]
+ assert isinstance(node, AgentNode)
+ assert node.role == expected_role
+
+ def test_specialist_reads_cleared(self) -> None:
+ wf = self._get_wf()
+ for nid in ("health_checker", "code_reviewer", "adversarial_tester"):
+ node = wf.nodes[nid]
+ assert isinstance(node, AgentNode)
+ assert node.reads == set()
+
+ def test_post_review_node(self) -> None:
+ wf = self._get_wf()
+ post = wf.nodes["post_review"]
+ assert isinstance(post, FnNode)
+ assert "factory review" in post.command
+ assert "$VERDICT" in post.command
+ assert "$PR_NUMBER" in post.command
+
+ def test_no_builder_node(self) -> None:
+ wf = self._get_wf()
+ assert "builder" not in wf.nodes
+
+ def test_no_reloop_edges(self) -> None:
+ wf = self._get_wf()
+ reloop = [e for e in wf.edges if e.condition == VerdictType.RELOOP]
+ assert reloop == []
+
+ def test_fork_join_present(self) -> None:
+ wf = self._get_wf()
+ assert "fork_qa" in wf.nodes
+ assert "join_qa" in wf.nodes
+
+ def test_precheck_routes_to_post_review(self) -> None:
+ wf = self._get_wf()
+ from_precheck = [e for e in wf.edges if e.source == "gate_precheck"]
+ assert len(from_precheck) == 2
+ targets = {e.target for e in from_precheck}
+ assert targets == {"post_review"}
+
+ def test_trigger(self) -> None:
+ from factory.models import ProjectState
+
+ wf = self._get_wf()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "deep-qa"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+
+ def test_skill_export(self) -> None:
+ from factory.workflow.skill_export import validate_skill, workflow_to_skill_md
+
+ wf = self._get_wf()
+ skill_md = workflow_to_skill_md(wf)
+ issues = validate_skill(skill_md)
+ assert issues == [], f"deep-qa skill has issues: {issues}"
+ assert "workflow-deep-qa" in skill_md
+
+
+# ── CLI parser accepts --mode deep-qa ────────────────────────────
+
+
+class TestCliDeepQaMode:
+ def test_parser_accepts_mode_deep_qa(self) -> None:
+ result = subprocess.run(
+ [sys.executable, "-m", "factory.cli", "ceo", "--help"],
+ capture_output=True, text=True, timeout=30,
+ )
+ assert "deep-qa" in result.stdout
+
+ def test_parser_accepts_mode_deep_qa_with_pr(self) -> None:
+ result = subprocess.run(
+ [sys.executable, "-m", "factory.cli", "ceo", ".", "--mode", "deep-qa", "--pr", "42", "--help"],
+ capture_output=True, text=True, timeout=30,
+ )
+ assert result.returncode == 0
diff --git a/tests/test_workflow_registry.py b/tests/test_workflow_registry.py
new file mode 100644
index 000000000..89ce5127c
--- /dev/null
+++ b/tests/test_workflow_registry.py
@@ -0,0 +1,84 @@
+"""Tests for WorkflowRegistry — discovery, loading, error handling."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import pytest
+
+from factory.workflow.registry import WorkflowRegistry
+
+
+@pytest.fixture(autouse=True)
+def _reset_registry():
+ """Reset registry state before each test."""
+ WorkflowRegistry.reset()
+ yield
+ WorkflowRegistry.reset()
+
+
+# ── Discovery ────────────────────────────────────────────────────
+
+
+class TestDiscovery:
+ def test_discovers_builtins(self) -> None:
+ entries = WorkflowRegistry.discover()
+ assert "design" in entries
+ assert "create" in entries
+ assert entries["design"].source == "builtin"
+
+ def test_discovers_from_project_path(self, tmp_path: Path) -> None:
+ wf_dir = tmp_path / ".factory" / "workflows"
+ wf_dir.mkdir(parents=True)
+ (wf_dir / "local.py").write_text(
+ "from factory.workflow.definitions import design_workflow\n"
+ "\n"
+ 'meta = {"name": "local", "description": "Project-local"}\n'
+ "\n"
+ "def workflow():\n"
+ " wf = design_workflow()\n"
+ ' wf.name = "local"\n'
+ " return wf\n"
+ )
+ entries = WorkflowRegistry.discover(project_path=tmp_path)
+ assert "local" in entries
+ assert entries["local"].source == "project"
+
+
+# ── get_workflow ─────────────────────────────────────────────────
+
+
+class TestGetWorkflow:
+ def test_returns_none_for_unknown(self) -> None:
+ wf = WorkflowRegistry.get_workflow("nonexistent")
+ assert wf is None
+
+ def test_returns_builtin(self) -> None:
+ wf = WorkflowRegistry.get_workflow("design")
+ assert wf is not None
+ assert wf.name == "design"
+
+
+# ── list_workflows ───────────────────────────────────────────────
+
+
+class TestListWorkflows:
+ def test_returns_sorted_entries(self) -> None:
+ workflows = WorkflowRegistry.list_workflows()
+ names = [w.name for w in workflows]
+ assert len(names) >= 3
+ assert "design" in names
+ assert "create" in names
+
+
+# ── reset ────────────────────────────────────────────────────────
+
+
+class TestReset:
+ def test_clears_state(self) -> None:
+ WorkflowRegistry.discover()
+ assert len(WorkflowRegistry._entries) > 0
+
+ WorkflowRegistry.reset()
+ assert len(WorkflowRegistry._entries) == 0
+ assert len(WorkflowRegistry._search_paths) == 0
diff --git a/tests/test_workflow_research.py b/tests/test_workflow_research.py
new file mode 100644
index 000000000..a0f841c3a
--- /dev/null
+++ b/tests/test_workflow_research.py
@@ -0,0 +1,308 @@
+"""Tests for research subgraph extraction and standalone research workflow."""
+
+from __future__ import annotations
+
+from factory.workflow.definitions import (
+ ResearcherConfig,
+ _get_builtin_registry,
+ _research_subgraph,
+ build_workflow,
+ create_workflow,
+ design_workflow,
+)
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ ForkNode,
+ GateNode,
+ JoinNode,
+ VerdictType,
+)
+
+
+# ── _research_subgraph unit tests ─────────────────────────────────
+
+
+class TestResearchSubgraph:
+ def _build_configs(self, *, with_post_checks: bool) -> list[ResearcherConfig]:
+ return [
+ ResearcherConfig(
+ id="alpha",
+ prompt_template="Alpha prompt.",
+ post_check_min_size=50 if with_post_checks else None,
+ ),
+ ResearcherConfig(
+ id="beta",
+ prompt_template="Beta prompt.",
+ post_check_min_size=50 if with_post_checks else None,
+ ),
+ ResearcherConfig(
+ id="gamma",
+ prompt_template="Gamma prompt.",
+ post_check_min_size=50 if with_post_checks else None,
+ ),
+ ]
+
+ def test_returns_six_nodes(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ assert len(nodes) == 6
+
+ def test_returns_seven_edges(self) -> None:
+ _, edges = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ assert len(edges) == 7
+
+ def test_node_ids(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ assert set(nodes.keys()) == {
+ "fork_research",
+ "researcher_alpha",
+ "researcher_beta",
+ "researcher_gamma",
+ "join_research",
+ "gate_research",
+ }
+
+ def test_fork_targets(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ fork = nodes["fork_research"]
+ assert isinstance(fork, ForkNode)
+ assert fork.targets == ["researcher_alpha", "researcher_beta", "researcher_gamma"]
+
+ def test_researcher_roles(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ for rid in ("researcher_alpha", "researcher_beta", "researcher_gamma"):
+ node = nodes[rid]
+ assert isinstance(node, AgentNode)
+ assert node.role == AgentRole.RESEARCHER
+
+ def test_post_checks_present_when_min_size_set(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ node = nodes["researcher_alpha"]
+ assert isinstance(node, AgentNode)
+ assert len(node.post_checks) == 1
+ assert node.post_checks[0].min_size == 50
+
+ def test_post_checks_absent_when_min_size_none(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=False),
+ gate_prompt="Gate prompt.",
+ )
+ node = nodes["researcher_alpha"]
+ assert isinstance(node, AgentNode)
+ assert len(node.post_checks) == 0
+
+ def test_join_sources(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ join = nodes["join_research"]
+ assert isinstance(join, JoinNode)
+ assert join.sources == ["researcher_alpha", "researcher_beta", "researcher_gamma"]
+
+ def test_gate_prompt(self) -> None:
+ nodes, _ = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Custom gate prompt.",
+ )
+ gate = nodes["gate_research"]
+ assert isinstance(gate, GateNode)
+ assert gate.gate_prompt == "Custom gate prompt."
+
+ def test_edge_structure(self) -> None:
+ _, edges = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ edge_tuples = [(e.source, e.target, e.condition) for e in edges]
+ assert ("fork_research", "researcher_alpha", None) in edge_tuples
+ assert ("fork_research", "researcher_beta", None) in edge_tuples
+ assert ("fork_research", "researcher_gamma", None) in edge_tuples
+ assert ("researcher_alpha", "join_research", None) in edge_tuples
+ assert ("researcher_beta", "join_research", None) in edge_tuples
+ assert ("researcher_gamma", "join_research", None) in edge_tuples
+ assert ("join_research", "gate_research", None) in edge_tuples
+
+ def test_no_exit_edges(self) -> None:
+ _, edges = _research_subgraph(
+ researchers=self._build_configs(with_post_checks=True),
+ gate_prompt="Gate prompt.",
+ )
+ exit_edges = [
+ e for e in edges
+ if e.source == "gate_research"
+ and e.condition in (VerdictType.PROCEED, VerdictType.RELOOP)
+ ]
+ assert exit_edges == []
+
+
+# ── Workflow node/edge preservation after refactor ────────────────
+
+
+class TestBuildWorkflowPreservation:
+ def test_research_node_ids(self) -> None:
+ wf = build_workflow()
+ expected = {
+ "fork_research", "researcher_similar", "researcher_techstack",
+ "researcher_pitfalls", "join_research", "gate_research",
+ }
+ assert expected.issubset(set(wf.nodes.keys()))
+
+ def test_research_edge_tuples(self) -> None:
+ wf = build_workflow()
+ edge_tuples = {(e.source, e.target, e.condition) for e in wf.edges}
+ assert ("fork_research", "researcher_similar", None) in edge_tuples
+ assert ("fork_research", "researcher_techstack", None) in edge_tuples
+ assert ("fork_research", "researcher_pitfalls", None) in edge_tuples
+ assert ("researcher_similar", "join_research", None) in edge_tuples
+ assert ("researcher_techstack", "join_research", None) in edge_tuples
+ assert ("researcher_pitfalls", "join_research", None) in edge_tuples
+ assert ("join_research", "gate_research", None) in edge_tuples
+ assert ("gate_research", "strategist", VerdictType.PROCEED) in edge_tuples
+ assert ("gate_research", "fork_research", VerdictType.RELOOP) in edge_tuples
+
+ def test_post_checks_present(self) -> None:
+ wf = build_workflow()
+ for rid in ("researcher_similar", "researcher_techstack", "researcher_pitfalls"):
+ node = wf.nodes[rid]
+ assert isinstance(node, AgentNode)
+ assert len(node.post_checks) == 1
+ assert node.post_checks[0].min_size == 50
+
+ def test_validates(self) -> None:
+ wf = build_workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"build_workflow graph issues: {issues}"
+
+
+class TestCreateWorkflowPreservation:
+ def test_research_node_ids(self) -> None:
+ wf = create_workflow()
+ expected = {
+ "fork_research", "researcher_existing", "researcher_intent",
+ "researcher_practices", "join_research", "gate_research",
+ }
+ assert expected.issubset(set(wf.nodes.keys()))
+
+ def test_research_edge_tuples(self) -> None:
+ wf = create_workflow()
+ edge_tuples = {(e.source, e.target, e.condition) for e in wf.edges}
+ assert ("fork_research", "researcher_existing", None) in edge_tuples
+ assert ("fork_research", "researcher_intent", None) in edge_tuples
+ assert ("fork_research", "researcher_practices", None) in edge_tuples
+ assert ("researcher_existing", "join_research", None) in edge_tuples
+ assert ("researcher_intent", "join_research", None) in edge_tuples
+ assert ("researcher_practices", "join_research", None) in edge_tuples
+ assert ("join_research", "gate_research", None) in edge_tuples
+ assert ("gate_research", "strategist", VerdictType.PROCEED) in edge_tuples
+ assert ("gate_research", "fork_research", VerdictType.RELOOP) in edge_tuples
+
+ def test_no_post_checks(self) -> None:
+ wf = create_workflow()
+ for rid in ("researcher_existing", "researcher_intent", "researcher_practices"):
+ node = wf.nodes[rid]
+ assert isinstance(node, AgentNode)
+ assert len(node.post_checks) == 0
+
+ def test_validates(self) -> None:
+ wf = create_workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"create_workflow graph issues: {issues}"
+
+
+class TestDesignWorkflowPreservation:
+ def test_inherits_build_research_nodes(self) -> None:
+ wf = design_workflow()
+ expected = {
+ "fork_research", "researcher_similar", "researcher_techstack",
+ "researcher_pitfalls", "join_research", "gate_research",
+ }
+ assert expected.issubset(set(wf.nodes.keys()))
+
+ def test_research_edge_tuples(self) -> None:
+ wf = design_workflow()
+ edge_tuples = {(e.source, e.target, e.condition) for e in wf.edges}
+ assert ("fork_research", "researcher_similar", None) in edge_tuples
+ assert ("researcher_similar", "join_research", None) in edge_tuples
+ assert ("join_research", "gate_research", None) in edge_tuples
+
+ def test_validates(self) -> None:
+ wf = design_workflow()
+ issues = wf.validate_graph()
+ assert issues == [], f"design_workflow graph issues: {issues}"
+
+
+# ── Standalone research workflow ──────────────────────────────────
+
+
+class TestResearchStandaloneWorkflow:
+ def _get_wf(self):
+ from factory.workflow.research import workflow
+ return workflow()
+
+ def test_valid_graph(self) -> None:
+ wf = self._get_wf()
+ issues = wf.validate_graph()
+ assert issues == [], f"research-standalone workflow has issues: {issues}"
+
+ def test_name(self) -> None:
+ wf = self._get_wf()
+ assert wf.name == "research-standalone"
+
+ def test_start_node(self) -> None:
+ wf = self._get_wf()
+ assert wf.start_node == "fork_research"
+
+ def test_has_expected_nodes(self) -> None:
+ wf = self._get_wf()
+ assert set(wf.nodes.keys()) == {
+ "fork_research",
+ "researcher_similar",
+ "researcher_techstack",
+ "researcher_pitfalls",
+ "join_research",
+ "gate_research",
+ }
+
+ def test_specialist_reads_cleared(self) -> None:
+ wf = self._get_wf()
+ for nid in ("researcher_similar", "researcher_techstack", "researcher_pitfalls"):
+ node = wf.nodes[nid]
+ assert isinstance(node, AgentNode)
+ assert node.reads == set()
+
+ def test_trigger_fires_for_research_standalone(self) -> None:
+ from factory.models import ProjectState
+ wf = self._get_wf()
+ assert wf.trigger is not None
+ assert wf.trigger(ProjectState.HAS_FACTORY, {"mode": "research-standalone"})
+
+ def test_trigger_does_not_fire_for_other_modes(self) -> None:
+ from factory.models import ProjectState
+ wf = self._get_wf()
+ assert wf.trigger is not None
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "improve"})
+ assert not wf.trigger(ProjectState.HAS_FACTORY, {"mode": "research"})
+
+ def test_not_registered_after_mode_removal(self) -> None:
+ reg = _get_builtin_registry()
+ assert "research-standalone" not in reg
diff --git a/tests/test_workflow_templates.py b/tests/test_workflow_templates.py
new file mode 100644
index 000000000..4ea917f4d
--- /dev/null
+++ b/tests/test_workflow_templates.py
@@ -0,0 +1,83 @@
+"""Tests for factory/workflow/templates.py — template slot format parser."""
+
+from factory.workflow.templates import emit, extract, resolve
+
+
+class TestEmit:
+ def test_basic_slot(self) -> None:
+ result = emit("timeout_qa", "1800")
+ assert result == "{{timeout_qa::1800}}"
+
+ def test_slot_with_long_value(self) -> None:
+ result = emit("task_prompt_builder", "Build the thing and test it.")
+ assert result == "{{task_prompt_builder::Build the thing and test it.}}"
+
+ def test_empty_value(self) -> None:
+ result = emit("failure_action_precheck", "")
+ assert result == "{{failure_action_precheck::}}"
+
+
+class TestResolve:
+ def test_strips_markers(self) -> None:
+ text = "timeout {{timeout_qa::1800}} seconds"
+ assert resolve(text) == "timeout 1800 seconds"
+
+ def test_multiple_slots(self) -> None:
+ text = "{{slot_a::alpha}} and {{slot_b::beta}}"
+ assert resolve(text) == "alpha and beta"
+
+ def test_no_slots(self) -> None:
+ text = "plain text with no markers"
+ assert resolve(text) == text
+
+ def test_empty_value(self) -> None:
+ text = "before {{empty_slot::}} after"
+ assert resolve(text) == "before after"
+
+ def test_multiline_value(self) -> None:
+ text = "cmd --task \"{{task::line1\nline2}}\""
+ assert resolve(text) == 'cmd --task "line1\nline2"'
+
+ def test_preserves_surrounding_text(self) -> None:
+ text = "```bash\nfactory agent qa --timeout {{timeout_qa::600}}\n```"
+ assert resolve(text) == "```bash\nfactory agent qa --timeout 600\n```"
+
+
+class TestExtract:
+ def test_basic_extraction(self) -> None:
+ text = "{{timeout_qa::1800}}"
+ result = extract(text)
+ assert result == [("timeout_qa", "1800")]
+
+ def test_multiple_slots(self) -> None:
+ text = "{{slot_a::alpha}} and {{slot_b::beta}}"
+ result = extract(text)
+ assert result == [("slot_a", "alpha"), ("slot_b", "beta")]
+
+ def test_no_slots(self) -> None:
+ assert extract("plain text") == []
+
+ def test_empty_value(self) -> None:
+ result = extract("{{empty::}}")
+ assert result == [("empty", "")]
+
+ def test_slot_names_preserved(self) -> None:
+ text = "{{task_prompt_qa::Run checks}} then {{timeout_qa::600}}"
+ result = extract(text)
+ names = [name for name, _ in result]
+ assert "task_prompt_qa" in names
+ assert "timeout_qa" in names
+
+
+class TestRoundTrip:
+ def test_emit_then_resolve(self) -> None:
+ slot = emit("timeout_qa", "1800")
+ text = f"factory agent qa --timeout {slot}"
+ resolved = resolve(text)
+ assert resolved == "factory agent qa --timeout 1800"
+
+ def test_emit_then_extract(self) -> None:
+ slot = emit("gate_prompt_qa", "Check quality.")
+ text = f"Assess: {slot}"
+ result = extract(text)
+ assert result == [("gate_prompt_qa", "Check quality.")]
diff --git a/tests/test_workflow_tool.py b/tests/test_workflow_tool.py
new file mode 100644
index 000000000..ba959c032
--- /dev/null
+++ b/tests/test_workflow_tool.py
@@ -0,0 +1,1541 @@
+"""Tests for factory/workflow/tool.py — tool-based workflow execution."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+import pytest
+
+from factory.workflow.primitives import (
+ AgentNode,
+ AgentRole,
+ Edge,
+ FnNode,
+ GateNode,
+ Study,
+ VerdictType,
+ Workflow,
+)
+from factory.workflow.registry import WorkflowRegistry
+from factory.workflow.tool import (
+ _detect_artifact,
+ _find_reloop_target,
+ _format_gate_task,
+ _format_node_task,
+ _format_progress,
+ _get_workflow_cached,
+ _phase_label,
+ _rebuild_workflow,
+ _resolve_original_project,
+ _workflow_cache,
+ tool_curr,
+ tool_finalize,
+ tool_init,
+ tool_next,
+ tool_overview,
+ tool_status,
+ tool_submit,
+)
+
+
+@pytest.fixture(autouse=True)
+def _reset_registry():
+ WorkflowRegistry.reset()
+ _workflow_cache.clear()
+ yield
+ WorkflowRegistry.reset()
+ _workflow_cache.clear()
+
+
+def _simple_workflow() -> Workflow:
+ """A minimal workflow: study -> researcher -> gate -> builder."""
+ return Workflow(
+ name="test-simple",
+ start_node="study",
+ nodes={
+ "study": Study(
+ id="study",
+ command="factory study {project_path}",
+ writes={".factory/strategy/observations.md"},
+ ),
+ "researcher": AgentNode(
+ id="researcher",
+ role=AgentRole.RESEARCHER,
+ prompt_template="Research the project at {project_path}",
+ writes={".factory/reviews/researcher-latest.md"},
+ ),
+ "gate_research": GateNode(
+ id="gate_research",
+ evaluator_type="agent",
+ gate_prompt="Review research output",
+ reads={".factory/reviews/researcher-latest.md"},
+ ),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build the project",
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ },
+ edges=[
+ Edge(source="study", target="researcher"),
+ Edge(source="researcher", target="gate_research"),
+ Edge(source="gate_research", target="builder", condition=VerdictType.PROCEED),
+ Edge(source="gate_research", target="researcher", condition=VerdictType.RELOOP),
+ ],
+ )
+
+
+def _fn_gate_workflow() -> Workflow:
+ """Workflow with an fn-type gate for auto-evaluation."""
+ return Workflow(
+ name="test-fn-gate",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ writes={".factory/reviews/builder-latest.md"},
+ ),
+ "gate_review": GateNode(
+ id="gate_review",
+ evaluator_type="fn",
+ evaluator_command="echo PROCEED",
+ reads={".factory/reviews/builder-latest.md"},
+ ),
+ "archivist": AgentNode(
+ id="archivist",
+ role=AgentRole.ARCHIVIST,
+ prompt_template="Archive results",
+ writes={".factory/archive/build.md"},
+ blocking=False,
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_review"),
+ Edge(source="gate_review", target="archivist", condition=VerdictType.PROCEED),
+ Edge(source="gate_review", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+
+
+def _register_workflow(wf: Workflow) -> None:
+ """Helper to register a workflow in the registry."""
+ from factory.workflow.registry import WorkflowEntry
+ WorkflowRegistry._entries[wf.name] = WorkflowEntry(
+ name=wf.name,
+ description="test workflow",
+ path="<test>",
+ source="builtin",
+ _workflow_fn=lambda _wf=wf: _wf,
+ )
+
+
+class TestToolInit:
+ def test_init_creates_state(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ session_dir = tool_init("test-simple", tmp_path)
+
+ state_path = Path(session_dir) / "state.json"
+ assert state_path.exists()
+ state = json.loads(state_path.read_text())
+ assert state["workflow_name"] == "test-simple"
+ assert state["status"] == "active"
+ assert state["pointer_idx"] == 0
+ assert len(state["session_id"]) == 12
+ assert "study" in state["topo_order"]
+
+ def test_init_unknown_workflow(self, tmp_path: Path) -> None:
+ with pytest.raises(ValueError, match="Unknown workflow"):
+ tool_init("nonexistent", tmp_path)
+
+ def test_init_filters_join_nodes(self, tmp_path: Path) -> None:
+ """JoinNodes should be excluded from topo_order."""
+ from factory.workflow.primitives import JoinNode
+ wf = Workflow(
+ name="test-join",
+ start_node="a",
+ nodes={
+ "a": FnNode(id="a", command="echo a"),
+ "join": JoinNode(id="join", sources=["a"]),
+ "b": FnNode(id="b", command="echo b"),
+ },
+ edges=[
+ Edge(source="a", target="join"),
+ Edge(source="join", target="b"),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ tool_init("test-join", tmp_path)
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "join" not in state["topo_order"]
+ assert "a" in state["topo_order"]
+ assert "b" in state["topo_order"]
+
+
+class TestToolNext:
+ def test_next_returns_first_node(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_next(tmp_path)
+
+ assert "Node: study" in result
+ assert "Type: Study" in result
+
+ def test_next_returns_done_when_completed(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["status"] = "completed"
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ result = tool_next(tmp_path)
+ assert "DONE" in result
+
+ def test_next_completes_when_past_end(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["pointer_idx"] = len(state["topo_order"])
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ result = tool_next(tmp_path)
+ assert "DONE" in result
+
+
+class TestToolSubmit:
+ def test_submit_stores_output(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_submit(tmp_path, "study", "Observations: project looks good")
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert state["completed"]["study"] == "Observations: project looks good"
+ assert result == "CONTINUE"
+
+ def test_submit_writes_agent_output_files(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Advance past study first
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["pointer_idx"] = 1 # researcher
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ tool_submit(tmp_path, "researcher", "Research findings here")
+
+ output_file = tmp_path / ".factory" / "reviews" / "researcher-latest.md"
+ assert output_file.exists()
+ assert output_file.read_text() == "Research findings here"
+
+ def test_submit_advances_past_submitted_node(self, tmp_path: Path) -> None:
+ """Submit advances the pointer past the submitted node."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["pointer_idx"] = 1 # researcher
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ result = tool_submit(tmp_path, "researcher", "Research done")
+ assert result == "CONTINUE"
+
+ # Next call to tool_next should return the agent gate
+ next_result = tool_next(tmp_path)
+ assert "GATE" in next_result
+ assert "gate_research" in next_result
+
+ def test_submit_fn_gate_proceed(self, tmp_path: Path) -> None:
+ wf = _fn_gate_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-fn-gate", tmp_path)
+
+ result = tool_submit(tmp_path, "builder", "Built successfully")
+
+ assert result == "CONTINUE"
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert state["gate_results"]["gate_review"] == "PROCEED"
+
+ def test_submit_fn_gate_halt(self, tmp_path: Path) -> None:
+ wf = Workflow(
+ name="test-halt",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ "gate_fail": GateNode(
+ id="gate_fail",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: tests broken",
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_fail"),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-halt", tmp_path)
+
+ result = tool_submit(tmp_path, "builder", "Built")
+ assert result.startswith("HALT")
+ assert "FAIL" in result
+
+ def test_submit_fn_gate_reloop(self, tmp_path: Path) -> None:
+ wf = Workflow(
+ name="test-reloop",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ "gate_check": GateNode(
+ id="gate_check",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: needs fixes",
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_check"),
+ Edge(source="gate_check", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-reloop", tmp_path)
+
+ result = tool_submit(tmp_path, "builder", "First attempt")
+ assert result.startswith("RETRY")
+ assert "attempt 1/3" in result
+
+ def test_submit_fn_gate_reloop_max_iterations(self, tmp_path: Path) -> None:
+ wf = Workflow(
+ name="test-max-iter",
+ start_node="builder",
+ nodes={
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ "gate_check": GateNode(
+ id="gate_check",
+ evaluator_type="fn",
+ evaluator_command="echo FAIL: still broken",
+ ),
+ },
+ edges=[
+ Edge(source="builder", target="gate_check"),
+ Edge(source="gate_check", target="builder", condition=VerdictType.RELOOP),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-max-iter", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["iteration_counts"]["gate_check->builder"] = 3
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ result = tool_submit(tmp_path, "builder", "Fourth attempt")
+ assert result.startswith("HALT")
+
+ def test_submit_then_next_returns_user_gate(self, tmp_path: Path) -> None:
+ """After submit, calling next returns user gate as APPROVAL_NEEDED."""
+ wf = Workflow(
+ name="test-user-gate",
+ start_node="strategist",
+ nodes={
+ "strategist": AgentNode(
+ id="strategist",
+ role=AgentRole.STRATEGIST,
+ prompt_template="Strategize",
+ ),
+ "gate_approval": GateNode(
+ id="gate_approval",
+ evaluator_type="user",
+ gate_prompt="Approve this strategy?",
+ ),
+ "builder": AgentNode(
+ id="builder",
+ role=AgentRole.BUILDER,
+ prompt_template="Build",
+ ),
+ },
+ edges=[
+ Edge(source="strategist", target="gate_approval"),
+ Edge(source="gate_approval", target="builder", condition=VerdictType.PROCEED),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-user-gate", tmp_path)
+
+ result = tool_submit(tmp_path, "strategist", "Strategy ready")
+ assert result == "CONTINUE"
+
+ next_result = tool_next(tmp_path)
+ assert "APPROVAL_NEEDED" in next_result
+ assert "Approve this strategy?" in next_result
+
+ def test_submit_returns_done_at_end(self, tmp_path: Path) -> None:
+ wf = Workflow(
+ name="test-single",
+ start_node="study",
+ nodes={
+ "study": Study(id="study", command="factory study {project_path}"),
+ },
+ edges=[],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-single", tmp_path)
+
+ result = tool_submit(tmp_path, "study", "Done studying")
+ assert result == "DONE"
+
+
+class TestToolStatus:
+ def test_status_no_session(self, tmp_path: Path) -> None:
+ result = tool_status(tmp_path)
+ assert "No active session" in result
+
+ def test_status_active_session(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_status(tmp_path)
+ assert "Workflow: test-simple" in result
+ assert "Status: active" in result
+ assert "Progress: 0/" in result
+
+ def test_status_with_completed_nodes(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+ tool_submit(tmp_path, "study", "Observations here")
+
+ result = tool_status(tmp_path)
+ assert "Progress: 1/" in result
+ assert "✓ study" in result
+
+ def test_status_with_gate_results(self, tmp_path: Path) -> None:
+ wf = _fn_gate_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-fn-gate", tmp_path)
+ tool_submit(tmp_path, "builder", "Built")
+
+ result = tool_status(tmp_path)
+ assert "Gates:" in result
+ assert "PROCEED" in result
+
+
+class TestAutoSubmit:
+ """Tests for the primary auto-submit mechanism in tool_next."""
+
+ def test_next_auto_submits_agent(self, tmp_path: Path) -> None:
+ """tool_next auto-submits an agent node when its review file exists."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Submit study to advance past it
+ tool_submit(tmp_path, "study", "Observations done")
+
+ # Simulate agent ran: write the review file directly (no submit)
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("Research findings here")
+
+ # tool_next should auto-submit the researcher and return the gate
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "researcher" in state["completed"]
+ assert state["completed"]["researcher"] == "Research findings here"
+ assert "GATE" in result
+ assert "gate_research" in result
+
+ def test_next_auto_submits_study(self, tmp_path: Path) -> None:
+ """tool_next auto-submits a study node when observations.md exists."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Write observations file directly (no submit)
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "study" in state["completed"]
+ assert "researcher" in result
+
+ def test_next_stops_at_gate(self, tmp_path: Path) -> None:
+ """tool_next auto-submits agent, then stops at the following agent gate."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Write both study and researcher artifacts
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("Research findings")
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "study" in state["completed"]
+ assert "researcher" in state["completed"]
+ assert "GATE" in result
+ assert "gate_research" in result
+
+ def test_next_auto_evaluates_fn_gate(self, tmp_path: Path) -> None:
+ """tool_next auto-submits agent and auto-evaluates following fn gate."""
+ wf = _fn_gate_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-fn-gate", tmp_path)
+
+ # Write builder review file (fn gate passes via "echo PROCEED")
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "builder-latest.md").write_text("Built successfully")
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "builder" in state["completed"]
+ assert "gate_review" in state["completed"]
+ assert state["gate_results"]["gate_review"] == "PROCEED"
+ # Should return the archivist node (after auto-evaluating gate)
+ assert "archivist" in result
+
+ def test_next_chain_multiple(self, tmp_path: Path) -> None:
+ """tool_next chains through multiple auto-submittable nodes in one call."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Write both study observations and researcher review
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("Research findings")
+
+ # Single call to next should skip both and stop at gate
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "study" in state["completed"]
+ assert "researcher" in state["completed"]
+ assert "GATE" in result
+ assert "gate_research" in result
+
+ def test_next_auto_submits_fn_with_output_files(self, tmp_path: Path) -> None:
+ """tool_next auto-submits a FnNode when its declared output files exist."""
+ wf = Workflow(
+ name="test-fn-auto",
+ start_node="fn1",
+ nodes={
+ "fn1": FnNode(
+ id="fn1",
+ command="echo hello",
+ writes={".factory/output.md"},
+ ),
+ "fn2": FnNode(id="fn2", command="echo done"),
+ },
+ edges=[Edge(source="fn1", target="fn2")],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-fn-auto", tmp_path)
+
+ # Write the output file directly
+ (tmp_path / ".factory" / "output.md").write_text("Generated output")
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "fn1" in state["completed"]
+ assert "fn2" in result
+
+ def test_next_does_not_auto_submit_empty_review(self, tmp_path: Path) -> None:
+ """Empty review files should not trigger auto-submit."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ tool_submit(tmp_path, "study", "Observations done")
+
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("")
+
+ result = tool_next(tmp_path)
+ assert "researcher" in result
+ assert "Type: Agent" in result
+
+ def test_next_auto_submits_fork_node(self, tmp_path: Path) -> None:
+ """ForkNodes are auto-submitted immediately (structural nodes)."""
+ from factory.workflow.primitives import ForkNode
+ wf = Workflow(
+ name="test-fork-auto",
+ start_node="fork1",
+ nodes={
+ "fork1": ForkNode(id="fork1", targets=["a", "b"]),
+ "a": FnNode(id="a", command="echo a"),
+ "b": FnNode(id="b", command="echo b"),
+ },
+ edges=[
+ Edge(source="fork1", target="a"),
+ Edge(source="fork1", target="b"),
+ ],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-fork-auto", tmp_path)
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "fork1" in state["completed"]
+ assert "Fork targets" in state["completed"]["fork1"]
+ assert "a" in result or "b" in result
+
+
+class TestHelpers:
+ def test_find_reloop_target(self) -> None:
+ wf = _simple_workflow()
+ target = _find_reloop_target(wf, "gate_research")
+ assert target == "researcher"
+
+ def test_find_reloop_target_none(self) -> None:
+ wf = _simple_workflow()
+ target = _find_reloop_target(wf, "study")
+ assert target is None
+
+ def test_format_node_task_agent(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ node = wf.nodes["researcher"]
+ result = _format_node_task("researcher", node, wf, {}, tmp_path)
+ assert "Type: Agent (researcher)" in result
+ assert "Model:" in result
+ assert "Timeout:" in result
+
+ def test_format_node_task_study(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ node = wf.nodes["study"]
+ result = _format_node_task("study", node, wf, {}, tmp_path)
+ assert "Type: Study" in result
+ assert "Command:" in result
+
+ def test_format_node_task_gate(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ node = wf.nodes["gate_research"]
+ result = _format_node_task("gate_research", node, wf, {}, tmp_path)
+ assert "Type: Gate (agent)" in result
+
+ def test_format_node_task_fn(self, tmp_path: Path) -> None:
+ node = FnNode(id="fn1", command="echo hello", notes="test note")
+ wf = Workflow(
+ name="test", start_node="fn1",
+ nodes={"fn1": node}, edges=[],
+ )
+ result = _format_node_task("fn1", node, wf, {}, tmp_path)
+ assert "Type: Function" in result
+ assert "Notes: test note" in result
+
+ def test_format_node_task_fork(self, tmp_path: Path) -> None:
+ from factory.workflow.primitives import ForkNode
+ node = ForkNode(id="fork1", targets=["a", "b"])
+ wf = Workflow(
+ name="test", start_node="fork1",
+ nodes={"fork1": node}, edges=[],
+ )
+ result = _format_node_task("fork1", node, wf, {}, tmp_path)
+ assert "Type: Fork" in result
+ assert "a, b" in result
+
+ def test_format_gate_task(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ gate = wf.nodes["gate_research"]
+ state = {"workflow_name": "test-simple"}
+ result = _format_gate_task("gate_research", gate, state, tmp_path)
+ assert "Gate: gate_research" in result
+ assert "PROCEED" in result
+ assert "RETRY" in result
+ assert "researcher" in result
+
+ def test_detect_artifact_agent_review_file(self, tmp_path: Path) -> None:
+ node = AgentNode(id="researcher", role=AgentRole.RESEARCHER, prompt_template="r")
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("findings")
+
+ result = _detect_artifact("researcher", node, tmp_path)
+ assert result == "findings"
+
+ def test_detect_artifact_agent_empty(self, tmp_path: Path) -> None:
+ node = AgentNode(id="researcher", role=AgentRole.RESEARCHER, prompt_template="r")
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("")
+
+ result = _detect_artifact("researcher", node, tmp_path)
+ assert result is None
+
+ def test_detect_artifact_agent_tagged(self, tmp_path: Path) -> None:
+ node = AgentNode(id="researcher_similar", role=AgentRole.RESEARCHER, prompt_template="r")
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-similar-latest.md").write_text("similar findings")
+
+ result = _detect_artifact("researcher_similar", node, tmp_path)
+ assert result == "similar findings"
+
+ def test_detect_artifact_study(self, tmp_path: Path) -> None:
+ node = Study(id="study", command="factory study {project_path}")
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text("x" * 100)
+
+ result = _detect_artifact("study", node, tmp_path)
+ assert result is not None
+
+ def test_detect_artifact_study_too_short(self, tmp_path: Path) -> None:
+ node = Study(id="study", command="factory study {project_path}")
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text("short")
+
+ result = _detect_artifact("study", node, tmp_path)
+ assert result is None
+
+ def test_detect_artifact_fn_node(self, tmp_path: Path) -> None:
+ node = FnNode(id="fn1", command="echo hello", writes={".factory/out.md"})
+ (tmp_path / ".factory").mkdir(parents=True, exist_ok=True)
+ (tmp_path / ".factory" / "out.md").write_text("output")
+
+ result = _detect_artifact("fn1", node, tmp_path)
+ assert result == "output"
+
+ def test_detect_artifact_fn_missing_writes(self, tmp_path: Path) -> None:
+ node = FnNode(id="fn1", command="echo hello", writes={".factory/out.md"})
+ (tmp_path / ".factory").mkdir(parents=True, exist_ok=True)
+
+ result = _detect_artifact("fn1", node, tmp_path)
+ assert result is None
+
+ def test_detect_artifact_fork(self, tmp_path: Path) -> None:
+ from factory.workflow.primitives import ForkNode
+ node = ForkNode(id="fork1", targets=["a", "b"])
+ result = _detect_artifact("fork1", node, tmp_path)
+ assert result is not None
+ assert "Fork targets" in result
+
+ def test_detect_artifact_gate_returns_none(self, tmp_path: Path) -> None:
+ node = GateNode(id="g", evaluator_type="agent", gate_prompt="review")
+ result = _detect_artifact("g", node, tmp_path)
+ assert result is None
+
+ def test_detect_artifact_same_role_collision(self, tmp_path: Path) -> None:
+ """Two same-role nodes with writes: generic review must not cause collision."""
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("generic output")
+
+ node1 = AgentNode(
+ id="researcher_alpha", role=AgentRole.RESEARCHER,
+ prompt_template="r", writes={".factory/strategy/alpha.md"},
+ )
+ (strategy_dir / "alpha.md").write_text("alpha content")
+ result1 = _detect_artifact("researcher_alpha", node1, tmp_path)
+ assert result1 == "alpha content"
+
+ node2 = AgentNode(
+ id="researcher_beta", role=AgentRole.RESEARCHER,
+ prompt_template="r", writes={".factory/strategy/beta.md"},
+ )
+ result2 = _detect_artifact("researcher_beta", node2, tmp_path)
+ assert result2 is None
+
+ def test_detect_artifact_writes_before_generic(self, tmp_path: Path) -> None:
+ """Writes file takes priority over generic review file."""
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("generic")
+ (strategy_dir / "output.md").write_text("writes content")
+
+ node = AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ prompt_template="r", writes={".factory/strategy/output.md"},
+ )
+ result = _detect_artifact("researcher", node, tmp_path)
+ assert result == "writes content"
+
+ def test_detect_artifact_no_writes_backward_compat(self, tmp_path: Path) -> None:
+ """Node with no writes falls back to generic review file."""
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("review output")
+
+ node = AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ prompt_template="r",
+ )
+ result = _detect_artifact("researcher", node, tmp_path)
+ assert result == "review output"
+
+ def test_detect_artifact_writes_absent_no_fallthrough(self, tmp_path: Path) -> None:
+ """Declared writes that don't exist must return None, not fall through to generic."""
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("generic output")
+
+ node = AgentNode(
+ id="researcher", role=AgentRole.RESEARCHER,
+ prompt_template="r", writes={".factory/strategy/missing.md"},
+ )
+ result = _detect_artifact("researcher", node, tmp_path)
+ assert result is None
+
+ def test_detect_artifact_graph_explorer_scenario(self, tmp_path: Path) -> None:
+ """graph_explorer node with writes must match on writes, not generic."""
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("stale generic")
+ (strategy_dir / "graph-context.md").write_text("graph analysis")
+
+ node = AgentNode(
+ id="graph_explorer", role=AgentRole.RESEARCHER,
+ prompt_template="r", writes={".factory/strategy/graph-context.md"},
+ )
+ result = _detect_artifact("graph_explorer", node, tmp_path)
+ assert result == "graph analysis"
+
+
+class TestFinalize:
+ def test_finalize_marks_remaining_nodes(self, tmp_path: Path) -> None:
+ """Finalize auto-completes nodes whose artifacts exist but weren't tracked."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Write artifacts without calling next/submit
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("Research findings")
+ (reviews_dir / "builder-latest.md").write_text("Built successfully")
+
+ result = tool_finalize(tmp_path)
+
+ assert "Finalized" in result
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "study" in state["completed"]
+ assert "researcher" in state["completed"]
+ assert "builder" in state["completed"]
+
+ def test_finalize_no_pending(self, tmp_path: Path) -> None:
+ """Finalize with all nodes already complete reports nothing to do."""
+ wf = Workflow(
+ name="test-single-fn",
+ start_node="fn1",
+ nodes={"fn1": FnNode(id="fn1", command="echo done")},
+ edges=[],
+ )
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-single-fn", tmp_path)
+ tool_submit(tmp_path, "fn1", "Done")
+
+ result = tool_finalize(tmp_path)
+
+ assert "No pending nodes" in result
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert state["status"] == "completed"
+
+
+class TestWorkflowCache:
+ def test_cache_avoids_redundant_loads(self, tmp_path: Path) -> None:
+ """Second call to _get_workflow_cached returns from cache dict."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+
+ result1 = _get_workflow_cached("test-simple", tmp_path)
+ cache_key = f"{tmp_path}:test-simple"
+ assert cache_key in _workflow_cache
+
+ result2 = _get_workflow_cached("test-simple", tmp_path)
+ assert result1 is result2
+
+
+class TestEventLogging:
+ def _read_events(self, project_path: Path) -> list[dict]:
+ events_file = project_path / ".factory" / "events.jsonl"
+ if not events_file.exists():
+ return []
+ return [json.loads(line) for line in events_file.read_text().strip().split("\n") if line]
+
+ def test_events_emitted_on_init(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ tool_init("test-simple", tmp_path)
+
+ events = self._read_events(tmp_path)
+ init_events = [e for e in events if e["type"] == "workflow.tool.init"]
+ assert len(init_events) == 1
+ assert init_events[0]["workflow"] == "test-simple"
+
+ def test_events_emitted_on_next(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ tool_next(tmp_path)
+
+ events = self._read_events(tmp_path)
+ next_events = [e for e in events if e["type"] == "workflow.tool.next"]
+ assert len(next_events) == 1
+ assert next_events[0]["node"] == "study"
+
+ def test_events_emitted_on_auto_submit(self, tmp_path: Path) -> None:
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Write artifact so auto-submit triggers
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+
+ tool_next(tmp_path)
+
+ events = self._read_events(tmp_path)
+ auto_events = [e for e in events if e["type"] == "workflow.tool.auto_submit"]
+ assert len(auto_events) == 1
+ assert auto_events[0]["node"] == "study"
+
+ def test_events_written_to_original_project(self, tmp_path: Path) -> None:
+ """Events should be written to the original project, not the worktree."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+
+ original = tmp_path / "my-project"
+ wt = original / ".factory-worktrees" / "run-abc123"
+ wt.mkdir(parents=True)
+ (wt / ".factory").mkdir()
+ (original / ".factory").mkdir(parents=True, exist_ok=True)
+
+ tool_init("test-simple", wt)
+
+ # Events should land in the original project, not the worktree
+ orig_events = original / ".factory" / "events.jsonl"
+ wt_events = wt / ".factory" / "events.jsonl"
+ assert orig_events.exists()
+ assert not wt_events.exists()
+
+ events = self._read_events(original)
+ init_events = [e for e in events if e["type"] == "workflow.tool.init"]
+ assert len(init_events) == 1
+
+
+class TestResolveOriginalProject:
+ def test_factory_worktrees_pattern(self) -> None:
+ p = Path("/home/user/project/.factory-worktrees/run-abc123")
+ assert _resolve_original_project(p) == Path("/home/user/project")
+
+ def test_factory_worktrees_nested(self) -> None:
+ p = Path("/home/user/project/.factory/worktrees/run-abc123")
+ assert _resolve_original_project(p) == Path("/home/user/project")
+
+ def test_no_worktree_passthrough(self) -> None:
+ p = Path("/home/user/project")
+ assert _resolve_original_project(p) == Path("/home/user/project")
+
+ def test_deep_factory_worktrees(self) -> None:
+ p = Path("/workspace/src/repo/.factory-worktrees/run-deadbeef")
+ assert _resolve_original_project(p) == Path("/workspace/src/repo")
+
+
+class TestHeadlessFinalize:
+ def test_run_headless_accepts_engine(self) -> None:
+ """Verify _run_headless has engine in its signature."""
+ import inspect
+ from factory.cli._ceo_helpers import _run_headless
+
+ sig = inspect.signature(_run_headless)
+ assert "engine" in sig.parameters
+ assert sig.parameters["engine"].default == "skill"
+
+
+class TestWorkflowDiskCache:
+ def test_cache_persisted_on_init(self, tmp_path: Path) -> None:
+ """tool_init writes workflow_cache.json to session dir."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ tool_init("test-simple", tmp_path)
+
+ cache_file = tmp_path / ".factory" / "tool_session" / "workflow_cache.json"
+ assert cache_file.exists()
+ cache = json.loads(cache_file.read_text())
+ assert cache["name"] == "test-simple"
+ assert "study" in cache["nodes"]
+ assert cache["nodes"]["study"]["type"] == "Study"
+
+ def test_cache_loaded_on_next(self, tmp_path: Path) -> None:
+ """After init, clearing in-memory cache still allows next to work via disk."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ tool_init("test-simple", tmp_path)
+
+ # Clear the in-memory cache
+ _workflow_cache.clear()
+ # Also clear the registry so register_all won't find it
+ WorkflowRegistry.reset()
+
+ result = tool_next(tmp_path)
+ assert "Node: study" in result
+
+ def test_rebuild_workflow_roundtrip(self, tmp_path: Path) -> None:
+ """Serialized cache can be deserialized back into a valid Workflow."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ tool_init("test-simple", tmp_path)
+
+ cache_file = tmp_path / ".factory" / "tool_session" / "workflow_cache.json"
+ cache_data = json.loads(cache_file.read_text())
+ rebuilt = _rebuild_workflow(cache_data)
+
+ assert rebuilt.name == wf.name
+ assert rebuilt.start_node == wf.start_node
+ assert set(rebuilt.nodes.keys()) == set(wf.nodes.keys())
+ assert len(rebuilt.edges) == len(wf.edges)
+ assert isinstance(rebuilt.nodes["study"], Study)
+ assert isinstance(rebuilt.nodes["researcher"], AgentNode)
+ assert isinstance(rebuilt.nodes["gate_research"], GateNode)
+
+
+class TestInvokeAgentPromptOverride:
+ def test_prompt_override_skips_resolve(self) -> None:
+ """When prompt_override is set, resolve_prompt should NOT be called."""
+ import asyncio
+ from unittest.mock import AsyncMock, patch
+
+ with patch("factory.agents.runner.resolve_prompt") as mock_resolve, \
+ patch("factory.agents.runner.get_runner") as mock_get_runner:
+ mock_runner = AsyncMock()
+ mock_runner.headless.return_value = AsyncMock(
+ stdout="ok", return_code=0, usage=None, metadata={},
+ )
+ mock_get_runner.return_value = mock_runner
+
+ from factory.agents.runner import invoke_agent
+
+ asyncio.run(invoke_agent(
+ "builder",
+ "build it",
+ Path("/tmp/fake-project"),
+ prompt_override="custom prompt content",
+ _track_failures=False,
+ ))
+
+ mock_resolve.assert_not_called()
+
+ def test_no_override_calls_resolve(self) -> None:
+ """Without prompt_override, resolve_prompt IS called."""
+ import asyncio
+ from unittest.mock import AsyncMock, patch
+
+ with patch("factory.agents.runner.resolve_prompt", return_value="resolved") as mock_resolve, \
+ patch("factory.agents.runner.get_runner") as mock_get_runner:
+ mock_runner = AsyncMock()
+ mock_runner.headless.return_value = AsyncMock(
+ stdout="ok", return_code=0, usage=None, metadata={},
+ )
+ mock_get_runner.return_value = mock_runner
+
+ from factory.agents.runner import invoke_agent
+
+ asyncio.run(invoke_agent(
+ "builder",
+ "build it",
+ Path("/tmp/fake-project"),
+ _track_failures=False,
+ ))
+
+ mock_resolve.assert_called_once()
+
+
+class TestFormatProgress:
+ def test_format_progress_linear(self, tmp_path: Path) -> None:
+ """Linear format shows ✓/▶/○ markers and expands current node."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["completed"]["study"] = "done"
+ state["completed"]["researcher"] = "done"
+
+ result = _format_progress(state, wf, tmp_path, "gate_research", fmt="linear")
+
+ assert "✓ study" in result
+ assert "✓ researcher" in result
+ assert "▶ gate_research" in result
+ assert "← CURRENT" in result
+ assert "○ builder" in result
+ assert "Type: Gate" in result
+
+ def test_format_progress_phased(self, tmp_path: Path) -> None:
+ """Phased format shows 'Phase N:' labels with role/gate names."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["completed"]["study"] = "done"
+ state["completed"]["researcher"] = "done"
+
+ result = _format_progress(state, wf, tmp_path, "gate_research", fmt="phased")
+
+ assert "Phase 1:" in result
+ assert "Phase 2:" in result
+ assert "Phase 3:" in result
+ assert "Gate —" in result
+ assert "Observe" in result or "Researcher" in result
+
+ def test_overview_linear_format(self, tmp_path: Path) -> None:
+ """tool_overview with fmt='linear' includes ✓/▶/○ markers."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ # Complete study via submit so it shows as ✓
+ tool_submit(tmp_path, "study", "Observations done")
+
+ result = tool_overview(tmp_path, fmt="linear")
+
+ assert "✓ study" in result
+ assert "▶ researcher" in result
+ assert "○" in result
+
+ def test_overview_phased_format(self, tmp_path: Path) -> None:
+ """tool_overview with fmt='phased' includes 'Phase' labels."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_overview(tmp_path, fmt="phased")
+
+ assert "Phase 1:" in result
+ assert "Phase" in result
+
+ def test_phase_label(self) -> None:
+ """_phase_label produces correct labels for each node type."""
+ agent = AgentNode(id="builder", role=AgentRole.BUILDER, prompt_template="build")
+ assert "Builder" in _phase_label("builder", agent)
+
+ gate = GateNode(id="gate_research", evaluator_type="agent", gate_prompt="review")
+ label = _phase_label("gate_research", gate)
+ assert "Gate —" in label
+ assert "Research" in label
+
+ study = Study(id="study", command="factory study")
+ label = _phase_label("study", study)
+ assert "Observe" in label
+ assert "study" in label
+
+ fn = FnNode(id="apply_spec", command="echo ok")
+ label = _phase_label("apply_spec", fn)
+ assert "Apply Spec" in label
+
+ from factory.workflow.primitives import ForkNode
+ fork = ForkNode(id="fork1", targets=["a", "b"])
+ label = _phase_label("fork1", fork)
+ assert "Fork" in label
+ assert "a" in label
+ assert "b" in label
+
+
+class TestDeterministicImpliesHeadless:
+ def test_deterministic_code_path(self) -> None:
+ """Verify _run_headless handles engine='deterministic' early return path."""
+ import inspect
+ from factory.cli._ceo_helpers import _run_headless
+
+ sig = inspect.signature(_run_headless)
+ assert "engine" in sig.parameters
+ assert "prompt_override" in sig.parameters
+
+ def test_deterministic_warning_printed(self) -> None:
+ """The deterministic engine block prints a WARNING and sets headless=True."""
+ import io
+ import sys
+
+ old_stderr = sys.stderr
+ captured = io.StringIO()
+ sys.stderr = captured
+ try:
+ # Simulate the code block from _execute_ceo
+ engine = "deterministic"
+ headless = False
+ if engine == "deterministic":
+ if not headless:
+ print(
+ "WARNING: --engine deterministic runs headless (no interactive CEO). "
+ "Adding --headless implicitly.",
+ file=sys.stderr,
+ )
+ headless = True
+ finally:
+ sys.stderr = old_stderr
+
+ assert headless is True
+ assert "WARNING" in captured.getvalue()
+ assert "--engine deterministic" in captured.getvalue()
+
+
+class TestStaleFileDetection:
+ def test_stale_file_ignored(self, tmp_path: Path) -> None:
+ """Review files from before the session start are ignored."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ stale_file = reviews_dir / "researcher-latest.md"
+ stale_file.write_text("Stale findings from prior run")
+ import os
+ os.utime(stale_file, (1000000, 1000000))
+
+ tool_init("test-simple", tmp_path)
+ tool_submit(tmp_path, "study", "Observations done")
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "researcher" not in state["completed"]
+ assert "Node: researcher" in result
+
+ def test_fresh_file_detected(self, tmp_path: Path) -> None:
+ """Review files created after session start are auto-submitted."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ tool_submit(tmp_path, "study", "Observations done")
+
+ reviews_dir = tmp_path / ".factory" / "reviews"
+ reviews_dir.mkdir(parents=True, exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("Fresh research findings")
+
+ result = tool_next(tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert "researcher" in state["completed"]
+ assert "GATE" in result
+
+
+class TestToolOverview:
+ def test_overview_shows_all_nodes(self, tmp_path: Path) -> None:
+ """tool_overview lists all nodes with completion markers."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_overview(tmp_path)
+
+ assert "study" in result
+ assert "researcher" in result
+ assert "gate_research" in result
+ assert "builder" in result
+ assert "▶" in result or "○" in result
+
+
+class TestToolCurr:
+ def test_curr_shows_current(self, tmp_path: Path) -> None:
+ """tool_curr shows first node details without advancing."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_curr(tmp_path)
+
+ assert "Node: study" in result
+ assert "Type: Study" in result
+
+ def test_curr_done(self, tmp_path: Path) -> None:
+ """tool_curr returns DONE when all nodes completed."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ state["pointer_idx"] = len(state["topo_order"])
+ (tmp_path / ".factory" / "tool_session" / "state.json").write_text(
+ json.dumps(state)
+ )
+
+ result = tool_curr(tmp_path)
+ assert "DONE" in result
+
+
+class TestNextDryRun:
+ def test_next_dry_run(self, tmp_path: Path) -> None:
+ """dry_run=True returns the node but does NOT advance the pointer."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_next(tmp_path, dry_run=True)
+
+ assert "Node: study" in result
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert state["pointer_idx"] == 0
+
+ def test_next_dry_run_auto_submit_no_persist(self, tmp_path: Path) -> None:
+ """dry_run scans for artifacts but does not persist completions."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ strategy_dir = tmp_path / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True, exist_ok=True)
+ (strategy_dir / "observations.md").write_text(
+ "Detailed observations about the project that exceed the minimum length threshold"
+ )
+
+ result = tool_next(tmp_path, dry_run=True)
+
+ assert "researcher" in result
+
+ state = json.loads(
+ (tmp_path / ".factory" / "tool_session" / "state.json").read_text()
+ )
+ assert state["pointer_idx"] == 0
+ assert "study" not in state["completed"]
+
+ def test_dry_run_no_events_emitted(self, tmp_path: Path) -> None:
+ """dry_run=True must not emit any events to events.jsonl."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ events_file = tmp_path / ".factory" / "events.jsonl"
+ events_before = events_file.read_text() if events_file.exists() else ""
+
+ tool_next(tmp_path, dry_run=True)
+
+ events_after = events_file.read_text() if events_file.exists() else ""
+ assert events_before == events_after, "dry_run should not emit events"
+
+ def test_dry_run_completed_status_no_finalize(self, tmp_path: Path) -> None:
+ """dry_run=True with status='completed' must not call finalize."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state_path = tmp_path / ".factory" / "tool_session" / "state.json"
+ state = json.loads(state_path.read_text())
+ state["status"] = "completed"
+ state_path.write_text(json.dumps(state))
+
+ state_before = state_path.read_text()
+ events_file = tmp_path / ".factory" / "events.jsonl"
+ events_before = events_file.read_text() if events_file.exists() else ""
+
+ result = tool_next(tmp_path, dry_run=True)
+
+ assert "DONE" in result
+ assert state_path.read_text() == state_before, "dry_run should not mutate state"
+ events_after = events_file.read_text() if events_file.exists() else ""
+ assert events_before == events_after, "dry_run should not emit events"
+
+ def test_dry_run_pointer_past_end_no_finalize(self, tmp_path: Path) -> None:
+ """dry_run=True with pointer past end must not call finalize."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ state_path = tmp_path / ".factory" / "tool_session" / "state.json"
+ state = json.loads(state_path.read_text())
+ order = state["topo_order"]
+ state["pointer_idx"] = len(order)
+ for nid in order:
+ state["completed"][nid] = "done"
+ state_path.write_text(json.dumps(state))
+
+ state_before = state_path.read_text()
+ events_file = tmp_path / ".factory" / "events.jsonl"
+ events_before = events_file.read_text() if events_file.exists() else ""
+
+ result = tool_next(tmp_path, dry_run=True)
+
+ assert "DONE" in result
+ assert state_path.read_text() == state_before, "dry_run should not mutate state"
+ events_after = events_file.read_text() if events_file.exists() else ""
+ assert events_before == events_after, "dry_run should not emit events"
+
+
+class TestNextCompactOutput:
+ def test_next_compact_output(self, tmp_path: Path) -> None:
+ """tool_next returns compact node details, not progress markers."""
+ wf = _simple_workflow()
+ _register_workflow(wf)
+ (tmp_path / ".factory").mkdir()
+ tool_init("test-simple", tmp_path)
+
+ result = tool_next(tmp_path)
+
+ assert "✓" not in result
+ assert "○" not in result
+ assert "▶" not in result
+ assert "Node: study" in result
+ assert "Type: Study" in result
diff --git a/tests/test_worktree.py b/tests/test_worktree.py
index c05a43c8c..a68446353 100644
--- a/tests/test_worktree.py
+++ b/tests/test_worktree.py
@@ -1,11 +1,27 @@
"""Tests for factory/worktree.py — git worktree lifecycle management."""
+import json
import subprocess
from pathlib import Path
+from unittest.mock import patch
import pytest
-from factory.worktree import create_worktree, detect_default_branch, prune_stale, remove_worktree
+from factory.worktree import (
+ _SHARED_SYMLINK_ENTRIES,
+ _bootstrap_unborn_repo,
+ _has_active_sessions,
+ _is_unborn_repo,
+ _preserve_telemetry,
+ _seed_experiment_factory,
+ _sync_backlog_to_main,
+ _sync_bootstrap_to_main,
+ create_experiment_worktree,
+ create_worktree,
+ detect_default_branch,
+ prune_stale,
+ remove_worktree,
+)
pytestmark = pytest.mark.real_worktree
@@ -31,7 +47,10 @@ def git_project(tmp_path: Path) -> Path:
subprocess.run(["git", "add", "."], cwd=project, capture_output=True, check=True)
subprocess.run(
["git", "commit", "-m", "initial"],
- cwd=project, capture_output=True, check=True, env=env,
+ cwd=project,
+ capture_output=True,
+ check=True,
+ env=env,
)
factory_dir = project / ".factory"
@@ -51,12 +70,20 @@ def test_creates_worktree_dir(self, git_project: Path) -> None:
assert branch.startswith("factory/run-")
assert wt_path.parent == git_project / ".factory-worktrees"
- def test_worktree_has_factory_symlink(self, git_project: Path) -> None:
+ def test_worktree_has_selective_factory(self, git_project: Path) -> None:
wt_path, _ = create_worktree(git_project)
- symlink = wt_path / ".factory"
- assert symlink.is_symlink()
- assert symlink.resolve() == (git_project / ".factory").resolve()
+ wt_factory = wt_path / ".factory"
+ assert wt_factory.is_dir()
+ assert not wt_factory.is_symlink()
+
+ assert (wt_factory / "config.json").is_symlink()
+ assert (wt_factory / "results.tsv").is_symlink()
+
+ for subdir in ("strategy", "reviews", "state"):
+ d = wt_factory / subdir
+ assert d.is_dir()
+ assert not d.is_symlink()
def test_worktree_contains_project_files(self, git_project: Path) -> None:
wt_path, _ = create_worktree(git_project)
@@ -69,7 +96,9 @@ def test_worktree_branch_is_checked_out(self, git_project: Path) -> None:
result = subprocess.run(
["git", "branch", "--show-current"],
- cwd=wt_path, capture_output=True, text=True,
+ cwd=wt_path,
+ capture_output=True,
+ text=True,
)
assert result.stdout.strip() == branch
@@ -84,22 +113,49 @@ def test_worktree_uses_custom_base_branch(self, git_project: Path) -> None:
}
subprocess.run(
["git", "checkout", "-b", "develop"],
- cwd=git_project, capture_output=True, check=True,
+ cwd=git_project,
+ capture_output=True,
+ check=True,
)
(git_project / "extra.txt").write_text("dev")
subprocess.run(["git", "add", "."], cwd=git_project, capture_output=True, check=True)
subprocess.run(
["git", "commit", "-m", "dev commit"],
- cwd=git_project, capture_output=True, check=True, env=env,
+ cwd=git_project,
+ capture_output=True,
+ check=True,
+ env=env,
)
subprocess.run(
["git", "checkout", "main"],
- cwd=git_project, capture_output=True, check=True,
+ cwd=git_project,
+ capture_output=True,
+ check=True,
)
wt_path, _ = create_worktree(git_project, base_branch="develop")
assert (wt_path / "extra.txt").exists()
+ def test_uses_provided_run_id(self, git_project: Path) -> None:
+ uuid_str = "d854881a-800d-44ff-beb5-b9fd77cc3fb9"
+ wt_path, branch = create_worktree(git_project, run_id=uuid_str)
+
+ # First 8 chars of UUID should be used
+ assert branch == "factory/run-d854881a"
+ assert wt_path.name == "run-d854881a"
+
+ def test_run_id_truncated_to_8_chars(self, git_project: Path) -> None:
+ wt_path, branch = create_worktree(git_project, run_id="abcdef1234567890")
+
+ assert branch == "factory/run-abcdef12"
+ assert wt_path.name == "run-abcdef12"
+
+ def test_short_run_id_used_as_is(self, git_project: Path) -> None:
+ wt_path, branch = create_worktree(git_project, run_id="abc")
+
+ assert branch == "factory/run-abc"
+ assert wt_path.name == "run-abc"
+
def test_multiple_worktrees_coexist(self, git_project: Path) -> None:
wt1, br1 = create_worktree(git_project)
wt2, br2 = create_worktree(git_project)
@@ -121,7 +177,9 @@ def test_removes_worktree_completely(self, git_project: Path) -> None:
result = subprocess.run(
["git", "branch", "--list", branch],
- cwd=git_project, capture_output=True, text=True,
+ cwd=git_project,
+ capture_output=True,
+ text=True,
)
assert branch not in result.stdout
@@ -136,11 +194,40 @@ def test_removes_from_worktree_list(self, git_project: Path) -> None:
result = subprocess.run(
["git", "worktree", "list", "--porcelain"],
- cwd=git_project, capture_output=True, text=True,
+ cwd=git_project,
+ capture_output=True,
+ text=True,
)
assert str(wt_path) not in result.stdout
+class TestTelemetryPreservation:
+ def test_trace_id_preserved_on_removal(self, git_project: Path) -> None:
+ """trace_id.txt in worktree's real .factory/ is copied to main at teardown."""
+ wt_path, branch = create_worktree(git_project)
+
+ trace_id = "test-trace-12345"
+ (wt_path / ".factory" / "trace_id.txt").write_text(trace_id)
+
+ main_trace = git_project / ".factory" / "trace_id.txt"
+ assert not main_trace.exists()
+
+ remove_worktree(git_project, wt_path, branch)
+
+ assert main_trace.exists()
+ assert main_trace.read_text() == trace_id
+
+ def test_no_trace_id_no_error(self, git_project: Path) -> None:
+ """Cleanup succeeds when trace_id.txt doesn't exist."""
+ wt_path, branch = create_worktree(git_project)
+
+ assert not (wt_path / ".factory" / "trace_id.txt").exists()
+
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
+
+
class TestPruneStale:
def test_no_op_without_factory_dir(self, tmp_path: Path) -> None:
project = tmp_path / "no-factory"
@@ -173,6 +260,7 @@ def test_crash_recovery_cleans_all_artifacts(self, git_project: Path) -> None:
"""Simulate a crash: create worktree, delete dir manually, then prune."""
wt_path, branch = create_worktree(git_project)
import shutil
+
shutil.rmtree(wt_path)
pruned = prune_stale(git_project)
@@ -180,7 +268,9 @@ def test_crash_recovery_cleans_all_artifacts(self, git_project: Path) -> None:
result = subprocess.run(
["git", "worktree", "list", "--porcelain"],
- cwd=git_project, capture_output=True, text=True,
+ cwd=git_project,
+ capture_output=True,
+ text=True,
)
assert str(wt_path) not in result.stdout
@@ -206,7 +296,10 @@ def git_project_master(tmp_path: Path) -> Path:
subprocess.run(["git", "add", "."], cwd=project, capture_output=True, check=True)
subprocess.run(
["git", "commit", "-m", "initial"],
- cwd=project, capture_output=True, check=True, env=env,
+ cwd=project,
+ capture_output=True,
+ check=True,
+ env=env,
)
factory_dir = project / ".factory"
@@ -244,13 +337,18 @@ def test_fallback_to_current_branch(self, tmp_path: Path) -> None:
subprocess.run(
["git", "init", "-b", "develop"],
- cwd=project, capture_output=True, check=True,
+ cwd=project,
+ capture_output=True,
+ check=True,
)
(project / "README.md").write_text("hello")
subprocess.run(["git", "add", "."], cwd=project, capture_output=True, check=True)
subprocess.run(
["git", "commit", "-m", "initial"],
- cwd=project, capture_output=True, check=True, env=env,
+ cwd=project,
+ capture_output=True,
+ check=True,
+ env=env,
)
assert detect_default_branch(project) == "develop"
@@ -267,22 +365,190 @@ def test_create_worktree_on_master_repo(self, git_project_master: Path) -> None:
remove_worktree(git_project_master, wt_path, branch)
-class TestSymlinkResolution:
- def test_store_resolves_through_symlink(self, git_project: Path) -> None:
- """ExperimentStore via worktree symlink writes to main .factory/."""
- from factory.store import ExperimentStore
+class TestSHAResolution:
+ def test_create_worktree_resolves_head(self, git_project: Path) -> None:
+ """create_worktree('HEAD') resolves to the current commit SHA."""
+ expected_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_worktree(git_project, "HEAD")
+
+ wt_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=wt_path,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ assert wt_sha == expected_sha
+
+ def test_create_worktree_resolves_amended_head(self, git_project: Path) -> None:
+ """After an amend, create_worktree('HEAD') branches from the new commit."""
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(git_project.parent),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+
+ (git_project / "new_file.txt").write_text("amended content")
+ subprocess.run(["git", "add", "."], cwd=git_project, capture_output=True, check=True)
+ subprocess.run(
+ ["git", "commit", "--amend", "--no-edit"],
+ cwd=git_project,
+ capture_output=True,
+ check=True,
+ env=env,
+ )
+ amended_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_worktree(git_project, "HEAD")
+
+ wt_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=wt_path,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ assert wt_sha == amended_sha
+ assert (wt_path / "new_file.txt").exists()
+
+class TestSymlinkResolution:
+ def test_shared_entries_resolve_to_main(self, git_project: Path) -> None:
+ """Shared symlinked entries in worktree resolve to main .factory/."""
wt_path, _ = create_worktree(git_project)
- store = ExperimentStore(wt_path)
+ main_factory = git_project / ".factory"
- assert store.factory_dir.resolve() == (git_project / ".factory").resolve()
+ for entry in ("config.json", "results.tsv"):
+ wt_entry = wt_path / ".factory" / entry
+ assert wt_entry.is_symlink()
+ assert wt_entry.resolve() == (main_factory / entry).resolve()
- def test_config_readable_through_symlink(self, git_project: Path) -> None:
+ def test_config_readable_through_selective_symlink(self, git_project: Path) -> None:
wt_path, _ = create_worktree(git_project)
- config_via_symlink = (wt_path / ".factory" / "config.json").read_text()
+ config_via_wt = (wt_path / ".factory" / "config.json").read_text()
config_direct = (git_project / ".factory" / "config.json").read_text()
- assert config_via_symlink == config_direct
+ assert config_via_wt == config_direct
+
+
+class TestSessionGuard:
+ """Tests for _has_active_sessions() and the remove_worktree() guard."""
+
+ def test_active_session_detected(self, tmp_path: Path) -> None:
+ sessions = [{"state": "working", "id": "abc"}]
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout=json.dumps(sessions),
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is True
+
+ def test_blocked_session_detected(self, tmp_path: Path) -> None:
+ sessions = [{"state": "blocked", "id": "def"}]
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout=json.dumps(sessions),
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is True
+
+ def test_no_active_sessions(self, tmp_path: Path) -> None:
+ sessions = [{"state": "completed", "id": "xyz"}]
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout=json.dumps(sessions),
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_empty_session_list(self, tmp_path: Path) -> None:
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout="[]",
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_command_failure_returns_false(self, tmp_path: Path) -> None:
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=1,
+ stdout="",
+ stderr="error",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_timeout_returns_false(self, tmp_path: Path) -> None:
+ with patch(
+ "factory.worktree.subprocess.run",
+ side_effect=subprocess.TimeoutExpired(cmd="claude", timeout=5),
+ ):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_invalid_json_returns_false(self, tmp_path: Path) -> None:
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout="not json",
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_non_list_json_returns_false(self, tmp_path: Path) -> None:
+ result = subprocess.CompletedProcess(
+ args=[],
+ returncode=0,
+ stdout='{"state": "working"}',
+ stderr="",
+ )
+ with patch("factory.worktree.subprocess.run", return_value=result):
+ assert _has_active_sessions(tmp_path) is False
+
+ def test_remove_worktree_skips_when_active_sessions(self, git_project: Path) -> None:
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=True):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert wt_path.exists()
+
+ def test_remove_worktree_proceeds_when_no_active_sessions(self, git_project: Path) -> None:
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=False):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
class TestFilelockConcurrency:
@@ -315,3 +581,816 @@ def begin_in_thread(hypothesis: str) -> int:
assert id_a != id_b
assert {id_a, id_b} == {1, 2}
+
+
+class TestCreateExperimentWorktree:
+ def test_creates_experiment_worktree(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_experiment_worktree(git_project, 1, head_sha)
+
+ assert wt_path.exists()
+ assert wt_path.is_dir()
+ assert branch == "factory/exp-1"
+ assert wt_path.name == "exp-1"
+ assert wt_path.parent == git_project / ".factory-worktrees"
+
+ def test_experiment_worktree_has_independent_factory_dir(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, _ = create_experiment_worktree(git_project, 2, head_sha)
+
+ wt_factory = wt_path / ".factory"
+ assert wt_factory.is_dir()
+ assert not wt_factory.is_symlink()
+ assert (wt_factory / "config.json").read_text() == "{}"
+
+ def test_experiment_worktree_has_project_files(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, _ = create_experiment_worktree(git_project, 3, head_sha)
+
+ assert (wt_path / "README.md").exists()
+ assert (wt_path / "README.md").read_text() == "hello"
+
+ def test_experiment_branch_checked_out(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_experiment_worktree(git_project, 4, head_sha)
+
+ result = subprocess.run(
+ ["git", "branch", "--show-current"],
+ cwd=wt_path,
+ capture_output=True,
+ text=True,
+ )
+ assert result.stdout.strip() == branch
+
+ def test_multiple_experiment_worktrees_coexist(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt1, br1 = create_experiment_worktree(git_project, 5, head_sha)
+ wt2, br2 = create_experiment_worktree(git_project, 6, head_sha)
+
+ assert wt1 != wt2
+ assert br1 != br2
+ assert wt1.exists()
+ assert wt2.exists()
+
+ def test_experiment_worktrees_have_isolated_eval_state(self, git_project: Path) -> None:
+ """Parallel experiment worktrees must not share last_eval.json."""
+ import json
+
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt1, _ = create_experiment_worktree(git_project, 10, head_sha)
+ wt2, _ = create_experiment_worktree(git_project, 11, head_sha)
+
+ (wt1 / ".factory" / "last_eval.json").write_text(json.dumps({"total": 0.9}))
+ (wt2 / ".factory" / "last_eval.json").write_text(json.dumps({"total": 0.3}))
+
+ score1 = json.loads((wt1 / ".factory" / "last_eval.json").read_text())["total"]
+ score2 = json.loads((wt2 / ".factory" / "last_eval.json").read_text())["total"]
+ assert score1 == 0.9
+ assert score2 == 0.3
+
+ def test_remove_experiment_worktree(self, git_project: Path) -> None:
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_experiment_worktree(git_project, 7, head_sha)
+ assert wt_path.exists()
+
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
+ result = subprocess.run(
+ ["git", "branch", "--list", branch],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ )
+ assert branch not in result.stdout
+
+
+class TestPruneStaleExperimentWorktrees:
+ def test_cleans_orphaned_exp_directory(self, git_project: Path) -> None:
+ """prune_stale handles exp- prefixed directories with correct branch naming."""
+ wt_dir = git_project / ".factory-worktrees"
+ wt_dir.mkdir(parents=True, exist_ok=True)
+ orphan = wt_dir / "exp-99"
+ orphan.mkdir()
+ (orphan / "some_file.txt").write_text("stale")
+
+ pruned = prune_stale(git_project)
+ assert len(pruned) >= 1
+ assert not orphan.exists()
+ assert any("exp-99" in msg for msg in pruned)
+
+
+class TestSeedExperimentFactory:
+ def test_copies_config_files(self, tmp_path: Path) -> None:
+ source = tmp_path / ".factory"
+ source.mkdir()
+ (source / "config.json").write_text('{"key": "val"}')
+ (source / "eval_profile.json").write_text('{"dims": []}')
+
+ dest = tmp_path / "worktree" / ".factory"
+ _seed_experiment_factory(source, dest)
+
+ assert dest.is_dir()
+ assert not dest.is_symlink()
+ assert (dest / "config.json").read_text() == '{"key": "val"}'
+ assert (dest / "eval_profile.json").read_text() == '{"dims": []}'
+
+ def test_copies_strategy_directory(self, tmp_path: Path) -> None:
+ source = tmp_path / ".factory"
+ source.mkdir()
+ (source / "strategy").mkdir()
+ (source / "strategy" / "current.md").write_text("# strategy")
+
+ dest = tmp_path / "worktree" / ".factory"
+ _seed_experiment_factory(source, dest)
+
+ assert (dest / "strategy" / "current.md").read_text() == "# strategy"
+
+ def test_skips_mutable_state(self, tmp_path: Path) -> None:
+ source = tmp_path / ".factory"
+ source.mkdir()
+ (source / "config.json").write_text("{}")
+ (source / "results.tsv").write_text("id\n")
+ (source / "last_eval.json").write_text('{"total": 0.5}')
+ (source / "experiments").mkdir()
+ (source / "experiments" / "001").mkdir()
+
+ dest = tmp_path / "worktree" / ".factory"
+ _seed_experiment_factory(source, dest)
+
+ assert (dest / "config.json").exists()
+ assert not (dest / "results.tsv").exists()
+ assert not (dest / "last_eval.json").exists()
+ assert not (dest / "experiments").exists()
+
+ def test_replaces_existing_symlink(self, tmp_path: Path) -> None:
+ source = tmp_path / ".factory"
+ source.mkdir()
+ (source / "config.json").write_text("{}")
+
+ dest = tmp_path / "worktree" / ".factory"
+ dest.parent.mkdir(parents=True)
+ dest.symlink_to(source)
+ assert dest.is_symlink()
+
+ _seed_experiment_factory(source, dest)
+
+ assert dest.is_dir()
+ assert not dest.is_symlink()
+
+ def test_handles_missing_source(self, tmp_path: Path) -> None:
+ source = tmp_path / ".factory"
+ dest = tmp_path / "worktree" / ".factory"
+
+ _seed_experiment_factory(source, dest)
+
+ assert dest.is_dir()
+ assert list(dest.iterdir()) == []
+
+
+@pytest.fixture
+def unborn_repo(tmp_path: Path) -> Path:
+ """Create a git repo with no commits (unborn HEAD)."""
+ project = tmp_path / "unborn"
+ project.mkdir()
+ subprocess.run(["git", "init", "-b", "main"], cwd=project, capture_output=True, check=True)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+ (factory_dir / "config.json").write_text("{}")
+ return project
+
+
+class TestIsUnbornRepo:
+ def test_unborn_repo_detected(self, unborn_repo: Path) -> None:
+ assert _is_unborn_repo(unborn_repo) is True
+
+ def test_repo_with_commits_not_unborn(self, git_project: Path) -> None:
+ assert _is_unborn_repo(git_project) is False
+
+
+class TestBootstrapUnbornRepo:
+ def test_creates_initial_commit(self, unborn_repo: Path) -> None:
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(unborn_repo.parent),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+ with patch.dict("os.environ", env):
+ _bootstrap_unborn_repo(unborn_repo)
+
+ result = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=unborn_repo,
+ capture_output=True,
+ text=True,
+ )
+ assert result.returncode == 0
+
+ def test_commit_message_is_factory_bootstrap(self, unborn_repo: Path) -> None:
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(unborn_repo.parent),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+ with patch.dict("os.environ", env):
+ _bootstrap_unborn_repo(unborn_repo)
+
+ result = subprocess.run(
+ ["git", "log", "--oneline", "-1"],
+ cwd=unborn_repo,
+ capture_output=True,
+ text=True,
+ )
+ assert "init (factory bootstrap)" in result.stdout
+
+
+class TestCreateWorktreeUnbornRepo:
+ def test_worktree_created_on_unborn_repo(self, unborn_repo: Path) -> None:
+ """create_worktree bootstraps an unborn repo and creates the worktree."""
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(unborn_repo.parent),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+ with patch.dict("os.environ", env):
+ wt_path, branch = create_worktree(unborn_repo)
+
+ assert wt_path.exists()
+ assert branch.startswith("factory/run-")
+
+ def test_error_when_branch_missing_on_non_unborn_repo(self, git_project: Path) -> None:
+ """Raises RuntimeError if the base branch doesn't exist and repo is not unborn."""
+ with pytest.raises(RuntimeError, match="does not exist"):
+ create_worktree(git_project, base_branch="nonexistent-branch")
+
+
+class TestDetectDefaultBranchRemoteHead:
+ def test_uses_remote_head_when_available(self, git_project: Path) -> None:
+ """detect_default_branch returns the remote HEAD ref when origin is configured."""
+ subprocess.run(
+ ["git", "remote", "add", "origin", str(git_project)],
+ cwd=git_project,
+ capture_output=True,
+ check=True,
+ )
+ subprocess.run(
+ ["git", "symbolic-ref", "refs/remotes/origin/HEAD", "refs/remotes/origin/main"],
+ cwd=git_project,
+ capture_output=True,
+ check=True,
+ )
+
+ assert detect_default_branch(git_project) == "main"
+
+
+class TestPruneStaleNonexistentPath:
+ def test_returns_empty_for_nonexistent_path(self, tmp_path: Path) -> None:
+ gone = tmp_path / "does-not-exist"
+ assert prune_stale(gone) == []
+
+
+class TestSeedExperimentFactoryExistingDir:
+ def test_replaces_existing_directory(self, tmp_path: Path) -> None:
+ """When dest is an existing directory (not a symlink), it is replaced."""
+ source = tmp_path / ".factory"
+ source.mkdir()
+ (source / "config.json").write_text('{"new": true}')
+
+ dest = tmp_path / "worktree" / ".factory"
+ dest.mkdir(parents=True)
+ (dest / "stale.txt").write_text("old data")
+
+ _seed_experiment_factory(source, dest)
+
+ assert dest.is_dir()
+ assert not dest.is_symlink()
+ assert (dest / "config.json").read_text() == '{"new": true}'
+ assert not (dest / "stale.txt").exists()
+
+
+class TestEventEmissionFailure:
+ def test_event_error_does_not_propagate(self, git_project: Path) -> None:
+ """create_experiment_worktree swallows event emission errors."""
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ with patch("factory.events.emit_event", side_effect=RuntimeError("event bus down")):
+ wt_path, branch = create_experiment_worktree(git_project, 99, head_sha)
+
+ assert wt_path.exists()
+ assert branch == "factory/exp-99"
+
+
+class TestCreateWorktreeEventFailure:
+ def test_create_worktree_swallows_event_error(self, git_project: Path) -> None:
+ with patch("factory.events.emit_event", side_effect=RuntimeError("boom")):
+ wt_path, branch = create_worktree(git_project)
+
+ assert wt_path.exists()
+ assert branch.startswith("factory/run-")
+
+ def test_remove_worktree_swallows_event_error(self, git_project: Path) -> None:
+ wt_path, branch = create_worktree(git_project)
+
+ with patch("factory.events.emit_event", side_effect=RuntimeError("boom")):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
+
+
+class TestCreateWorktreeExistingFactory:
+ def test_replaces_existing_factory_dir_with_selective_layout(self, tmp_path: Path) -> None:
+ """When .factory/ is tracked in git, the worktree replaces it with selective layout."""
+ project = tmp_path / "project"
+ project.mkdir()
+
+ env = {
+ "GIT_AUTHOR_NAME": "test",
+ "GIT_AUTHOR_EMAIL": "test@test.com",
+ "GIT_COMMITTER_NAME": "test",
+ "GIT_COMMITTER_EMAIL": "test@test.com",
+ "HOME": str(tmp_path),
+ "PATH": "/usr/bin:/bin:/usr/local/bin",
+ }
+
+ subprocess.run(["git", "init", "-b", "main"], cwd=project, capture_output=True, check=True)
+ factory_dir = project / ".factory"
+ factory_dir.mkdir()
+ (factory_dir / "config.json").write_text("{}")
+ subprocess.run(["git", "add", "."], cwd=project, capture_output=True, check=True)
+ subprocess.run(
+ ["git", "commit", "-m", "initial with .factory"],
+ cwd=project,
+ capture_output=True,
+ check=True,
+ env=env,
+ )
+
+ wt_path, _ = create_worktree(project)
+
+ wt_factory = wt_path / ".factory"
+ assert wt_factory.is_dir()
+ assert not wt_factory.is_symlink()
+ assert (wt_factory / "config.json").is_symlink()
+
+
+class TestPreserveTelemetryNoFactory:
+ def test_no_factory_dir_is_noop(self, git_project: Path) -> None:
+ """_preserve_telemetry returns early when worktree has no .factory/."""
+ from factory.worktree import _preserve_telemetry
+
+ fake_wt = git_project / "no-factory-here"
+ fake_wt.mkdir()
+
+ _preserve_telemetry(fake_wt, git_project)
+
+
+class TestDetectDefaultBranchFallback:
+ def test_fallback_when_all_detection_fails(self, tmp_path: Path) -> None:
+ """When every detection method fails, returns 'main'."""
+ project = tmp_path / "bare"
+ project.mkdir()
+ subprocess.run(["git", "init"], cwd=project, capture_output=True, check=True)
+
+ with patch(
+ "factory.worktree.subprocess.run",
+ return_value=subprocess.CompletedProcess(
+ args=[],
+ returncode=1,
+ stdout="",
+ stderr="",
+ ),
+ ):
+ assert detect_default_branch(project) == "main"
+
+
+class TestDetectDefaultBranchUnborn:
+ def test_unborn_repo_returns_branch_via_symbolic_ref(self, unborn_repo: Path) -> None:
+ """Unborn repo (no commits) still detects the branch name from symbolic HEAD."""
+ result = detect_default_branch(unborn_repo)
+ assert result == "main"
+
+ def test_unborn_repo_with_custom_branch(self, tmp_path: Path) -> None:
+ """Unborn repo initialized with a non-standard branch name."""
+ project = tmp_path / "custom-branch"
+ project.mkdir()
+ subprocess.run(
+ ["git", "init", "-b", "trunk"],
+ cwd=project,
+ capture_output=True,
+ check=True,
+ )
+
+ result = detect_default_branch(project)
+ assert result == "trunk"
+
+
+class TestWorktreeRetention:
+ """Tests for FACTORY_REMOVE_WORKTREE config and _should_remove_worktree()."""
+
+ def test_remove_worktree_default_removes(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.delenv("FACTORY_REMOVE_WORKTREE", raising=False)
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=False):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
+
+ def test_remove_worktree_false_retains(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "false")
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=False):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert wt_path.exists()
+
+ def test_remove_worktree_zero_retains(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "0")
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=False):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert wt_path.exists()
+
+ def test_remove_worktree_no_retains(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "no")
+ wt_path, branch = create_worktree(git_project)
+ assert wt_path.exists()
+
+ with patch("factory.worktree._has_active_sessions", return_value=False):
+ remove_worktree(git_project, wt_path, branch)
+
+ assert wt_path.exists()
+
+ def test_experiment_worktree_always_removed(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "false")
+ head_sha = subprocess.run(
+ ["git", "rev-parse", "HEAD"],
+ cwd=git_project,
+ capture_output=True,
+ text=True,
+ check=True,
+ ).stdout.strip()
+
+ wt_path, branch = create_experiment_worktree(git_project, 5, head_sha)
+ assert wt_path.exists()
+ assert branch == "factory/exp-5"
+
+ remove_worktree(git_project, wt_path, branch)
+
+ assert not wt_path.exists()
+
+ def test_retained_emits_event(self, git_project: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "false")
+ wt_path, branch = create_worktree(git_project)
+ run_id = branch.removeprefix("factory/run-")
+
+ with (
+ patch("factory.worktree._has_active_sessions", return_value=False),
+ patch("factory.events.emit_event") as mock_emit,
+ ):
+ remove_worktree(git_project, wt_path, branch)
+
+ mock_emit.assert_called_once_with(
+ git_project,
+ "worktree.retained",
+ data={
+ "run_id": run_id,
+ "branch": branch,
+ "worktree_path": str(wt_path),
+ },
+ )
+
+ def test_prune_stale_respects_retention_for_run(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "false")
+ wt_dir = git_project / ".factory-worktrees"
+ wt_dir.mkdir(parents=True, exist_ok=True)
+ orphan = wt_dir / "run-deadbeef"
+ orphan.mkdir()
+ (orphan / "some_file.txt").write_text("stale")
+
+ pruned = prune_stale(git_project)
+
+ assert orphan.exists()
+ assert not any("run-deadbeef" in msg for msg in pruned)
+
+ def test_prune_stale_always_cleans_exp(
+ self, git_project: Path, monkeypatch: pytest.MonkeyPatch
+ ) -> None:
+ monkeypatch.setenv("FACTORY_REMOVE_WORKTREE", "false")
+ wt_dir = git_project / ".factory-worktrees"
+ wt_dir.mkdir(parents=True, exist_ok=True)
+ orphan = wt_dir / "exp-99"
+ orphan.mkdir()
+ (orphan / "some_file.txt").write_text("stale")
+
+ pruned = prune_stale(git_project)
+
+ assert not orphan.exists()
+ assert any("exp-99" in msg for msg in pruned)
+
+
+class TestSelectiveWorktreeIsolation:
+ """Tests for selective symlink layout in CEO run worktrees (issue #1234)."""
+
+ def test_shared_entries_are_symlinks_to_main(self, git_project: Path) -> None:
+ factory_dir = git_project / ".factory"
+ (factory_dir / "eval_profile.json").write_text("{}")
+ (factory_dir / "experiments").mkdir(exist_ok=True)
+ (factory_dir / "archive").mkdir(exist_ok=True)
+ (factory_dir / "events.jsonl").write_text("")
+
+ wt_path, _ = create_worktree(git_project)
+ wt_factory = wt_path / ".factory"
+
+ for entry in _SHARED_SYMLINK_ENTRIES:
+ src = factory_dir / entry
+ dst = wt_factory / entry
+ if src.exists():
+ assert dst.is_symlink(), f"{entry} should be a symlink"
+ assert dst.resolve() == src.resolve(), f"{entry} should point to main"
+
+ def test_copy_entries_are_independent(self, git_project: Path) -> None:
+ agents_dir = git_project / ".factory" / "agents"
+ agents_dir.mkdir(exist_ok=True)
+ (agents_dir / "builder.md").write_text("# Builder")
+
+ wt_path, _ = create_worktree(git_project)
+ wt_agents = wt_path / ".factory" / "agents"
+
+ assert wt_agents.is_dir()
+ assert not wt_agents.is_symlink()
+ assert (wt_agents / "builder.md").read_text() == "# Builder"
+
+ (wt_agents / "builder.md").write_text("# Modified")
+ assert (agents_dir / "builder.md").read_text() == "# Builder"
+
+ def test_per_cycle_dirs_are_fresh_and_empty(self, git_project: Path) -> None:
+ strategy_dir = git_project / ".factory" / "strategy"
+ strategy_dir.mkdir(exist_ok=True)
+ (strategy_dir / "current.md").write_text("# Old strategy")
+ (strategy_dir / "observations.md").write_text("# Old obs")
+
+ reviews_dir = git_project / ".factory" / "reviews"
+ reviews_dir.mkdir(exist_ok=True)
+ (reviews_dir / "researcher-latest.md").write_text("# Old review")
+
+ wt_path, _ = create_worktree(git_project)
+ wt_factory = wt_path / ".factory"
+
+ for subdir in ("strategy", "reviews", "state"):
+ d = wt_factory / subdir
+ assert d.is_dir()
+ assert not d.is_symlink()
+
+ assert not (wt_factory / "strategy" / "current.md").exists()
+ assert not (wt_factory / "strategy" / "observations.md").exists()
+ assert not (wt_factory / "reviews" / "researcher-latest.md").exists()
+ assert list((wt_factory / "state").iterdir()) == []
+
+ def test_backlog_copied_not_symlinked(self, git_project: Path) -> None:
+ strategy_dir = git_project / ".factory" / "strategy"
+ strategy_dir.mkdir(exist_ok=True)
+ (strategy_dir / "backlog.md").write_text("- item 1\n- item 2\n")
+
+ wt_path, _ = create_worktree(git_project)
+ wt_backlog = wt_path / ".factory" / "strategy" / "backlog.md"
+
+ assert wt_backlog.exists()
+ assert not wt_backlog.is_symlink()
+ assert wt_backlog.read_text() == "- item 1\n- item 2\n"
+
+ def test_backlog_synced_back_on_removal(self, git_project: Path) -> None:
+ strategy_dir = git_project / ".factory" / "strategy"
+ strategy_dir.mkdir(exist_ok=True)
+ (strategy_dir / "backlog.md").write_text("- item 1\n")
+
+ wt_path, branch = create_worktree(git_project)
+ wt_backlog = wt_path / ".factory" / "strategy" / "backlog.md"
+ wt_backlog.write_text("- item 1\n- item 2\n- item 3\n")
+
+ remove_worktree(git_project, wt_path, branch)
+
+ main_backlog = git_project / ".factory" / "strategy" / "backlog.md"
+ assert main_backlog.read_text() == "- item 1\n- item 2\n- item 3\n"
+
+ def test_sync_backlog_to_main_skips_symlink(self, tmp_path: Path) -> None:
+ wt = tmp_path / "worktree"
+ wt.mkdir()
+ main = tmp_path / "main"
+ main.mkdir()
+
+ strategy_dir = wt / ".factory" / "strategy"
+ strategy_dir.mkdir(parents=True)
+ backlog = strategy_dir / "backlog.md"
+
+ main_strategy = main / ".factory" / "strategy"
+ main_strategy.mkdir(parents=True)
+ main_backlog = main_strategy / "backlog.md"
+ main_backlog.write_text("original")
+
+ backlog.symlink_to(main_backlog)
+
+ _sync_backlog_to_main(wt, main)
+
+ assert main_backlog.read_text() == "original"
+
+ def test_sync_bootstrap_copies_fresh_files(self, tmp_path: Path) -> None:
+ wt = tmp_path / "worktree"
+ main = tmp_path / "main"
+ wt_factory = wt / ".factory"
+ wt_factory.mkdir(parents=True)
+ main.mkdir()
+
+ (wt_factory / "config.json").write_text('{"goal": "test"}')
+ (wt_factory / "eval_profile.json").write_text('{"dims": []}')
+ (wt / "factory.md").write_text("# Factory")
+
+ _sync_bootstrap_to_main(wt, main)
+
+ assert (main / ".factory" / "config.json").read_text() == '{"goal": "test"}'
+ assert (main / ".factory" / "eval_profile.json").read_text() == '{"dims": []}'
+ assert (main / "factory.md").read_text() == "# Factory"
+
+ def test_sync_bootstrap_skips_symlinks(self, tmp_path: Path) -> None:
+ wt = tmp_path / "worktree"
+ main = tmp_path / "main"
+ wt_factory = wt / ".factory"
+ wt_factory.mkdir(parents=True)
+ main_factory = main / ".factory"
+ main_factory.mkdir(parents=True)
+
+ (main_factory / "config.json").write_text("original")
+ (wt_factory / "config.json").symlink_to(main_factory / "config.json")
+
+ _sync_bootstrap_to_main(wt, main)
+
+ assert (main_factory / "config.json").read_text() == "original"
+
+ def test_sync_bootstrap_skips_existing_main_files(self, tmp_path: Path) -> None:
+ wt = tmp_path / "worktree"
+ main = tmp_path / "main"
+ wt_factory = wt / ".factory"
+ wt_factory.mkdir(parents=True)
+ main_factory = main / ".factory"
+ main_factory.mkdir(parents=True)
+
+ (wt_factory / "config.json").write_text("new")
+ (main_factory / "config.json").write_text("existing")
+
+ _sync_bootstrap_to_main(wt, main)
+
+ assert (main_factory / "config.json").read_text() == "existing"
+
+ def test_sync_bootstrap_noop_without_factory_dir(self, tmp_path: Path) -> None:
+ wt = tmp_path / "worktree"
+ main = tmp_path / "main"
+ wt.mkdir()
+ main.mkdir()
+
+ _sync_bootstrap_to_main(wt, main)
+
+ assert not (main / ".factory").exists()
+
+ def test_two_worktrees_get_independent_dirs(self, git_project: Path) -> None:
+ strategy_dir = git_project / ".factory" / "strategy"
+ strategy_dir.mkdir(exist_ok=True)
+ (strategy_dir / "backlog.md").write_text("- shared item\n")
+
+ wt1, _ = create_worktree(git_project)
+ wt2, _ = create_worktree(git_project)
+
+ (wt1 / ".factory" / "strategy" / "current.md").write_text("# WT1 strategy")
+ (wt1 / ".factory" / "reviews" / "researcher-latest.md").write_text("# WT1 review")
+
+ assert not (wt2 / ".factory" / "strategy" / "current.md").exists()
+ assert not (wt2 / ".factory" / "reviews" / "researcher-latest.md").exists()
+
+ (wt2 / ".factory" / "strategy" / "current.md").write_text("# WT2 strategy")
+ assert (wt1 / ".factory" / "strategy" / "current.md").read_text() == "# WT1 strategy"
+
+ def test_shared_entries_write_to_main(self, git_project: Path) -> None:
+ """Appending to symlinked results.tsv writes through to main."""
+ wt_path, _ = create_worktree(git_project)
+
+ wt_results = wt_path / ".factory" / "results.tsv"
+ with open(wt_results, "a") as f:
+ f.write("1\tdata\n")
+
+ main_results = git_project / ".factory" / "results.tsv"
+ assert "1\tdata\n" in main_results.read_text()
+
+ def test_preserve_telemetry_works_with_selective_layout(self, git_project: Path) -> None:
+ wt_path, _ = create_worktree(git_project)
+
+ (wt_path / ".factory" / "trace_id.txt").write_text("trace-abc")
+
+ main_trace = git_project / ".factory" / "trace_id.txt"
+ assert not main_trace.exists()
+
+ _preserve_telemetry(wt_path, git_project)
+
+ assert main_trace.exists()
+ assert main_trace.read_text() == "trace-abc"
+
+ def test_missing_shared_entries_skipped(self, git_project: Path) -> None:
+ """Shared entries that don't exist in main are silently skipped."""
+ assert not (git_project / ".factory" / "archive").exists()
+ assert not (git_project / ".factory" / "events.jsonl").exists()
+
+ wt_path, _ = create_worktree(git_project)
+ wt_factory = wt_path / ".factory"
+
+ assert not (wt_factory / "archive").exists()
+ assert not (wt_factory / "events.jsonl").exists()
+ assert (wt_factory / "config.json").is_symlink()
+
+ def test_no_backlog_no_error(self, git_project: Path) -> None:
+ """Worktree creation succeeds when main has no backlog.md."""
+ assert not (git_project / ".factory" / "strategy" / "backlog.md").exists()
+
+ wt_path, _ = create_worktree(git_project)
+
+ assert (wt_path / ".factory" / "strategy").is_dir()
+ assert not (wt_path / ".factory" / "strategy" / "backlog.md").exists()
diff --git a/tests/test_yaml_surface.py b/tests/test_yaml_surface.py
new file mode 100644
index 000000000..284f1ad65
--- /dev/null
+++ b/tests/test_yaml_surface.py
@@ -0,0 +1,366 @@
+"""Tests for the YAML annotation surface (prompt slots as optimization target)."""
+from __future__ import annotations
+
+import os
+import tempfile
+
+import yaml
+
+from factory.skillopt.yaml_surface import (
+ SlotEdit,
+ apply_slot_edits,
+ compute_prompt_change_magnitude,
+ extract_prompt_slots,
+ format_prompt_slots_for_llm,
+ render_skill_from_slots,
+ validate_only_prompts_changed,
+ yaml_to_workflow,
+)
+
+# ── yaml surface ───────────────────────────────────────────────
+
+
+class TestYamlSurface:
+ def test_extract_task_prompt(self):
+ surface = {"b": {"slots": {"task_prompt_b": "prompt"}}}
+ assert extract_prompt_slots(surface) == {"task_prompt_b": "prompt"}
+
+ def test_extract_system_and_instance(self):
+ surface = {"s": {"slots": {"system_prompt_s": "sys", "instance_prompt_s": "inst"}}}
+ slots = extract_prompt_slots(surface)
+ assert "system_prompt_s" in slots and "instance_prompt_s" in slots
+
+ def test_extract_ignores_non_prompt(self):
+ surface = {"n": {"slots": {"timeout_n": "600", "task_prompt_n": "p"}}}
+ assert "timeout_n" not in extract_prompt_slots(surface)
+
+ def test_extract_skips_non_dict(self):
+ assert len(extract_prompt_slots({"meta": "str", "n": {"slots": {"task_prompt_n": "p"}}})) == 1
+
+ def test_format_includes_prompts_only(self):
+ surface = {"s": {"slots": {"system_prompt_s": "sys", "timeout_s": "600"}}}
+ text = format_prompt_slots_for_llm(surface)
+ assert "system_prompt_s" in text and "timeout_s" not in text
+
+ def test_format_empty(self):
+ assert format_prompt_slots_for_llm({}) == ""
+
+ def test_format_multiple_nodes(self):
+ surface = {
+ "a": {"slots": {"task_prompt_a": "pa"}},
+ "b": {"slots": {"task_prompt_b": "pb"}},
+ }
+ text = format_prompt_slots_for_llm(surface)
+ assert "task_prompt_a" in text and "task_prompt_b" in text
+
+ def test_validate_no_changes(self):
+ s = {"n": {"type": "X", "slots": {"task_prompt_n": "v"}}}
+ assert validate_only_prompts_changed(s, s) == []
+
+ def test_validate_prompt_change_ok(self):
+ o = {"n": {"type": "X", "slots": {"task_prompt_n": "old"}}}
+ p = {"n": {"type": "X", "slots": {"task_prompt_n": "new"}}}
+ assert validate_only_prompts_changed(o, p) == []
+
+ def test_validate_system_prompt_change_ok(self):
+ o = {"n": {"type": "X", "slots": {"system_prompt_n": "old"}}}
+ p = {"n": {"type": "X", "slots": {"system_prompt_n": "new"}}}
+ assert validate_only_prompts_changed(o, p) == []
+
+ def test_validate_instance_prompt_change_ok(self):
+ o = {"n": {"type": "X", "slots": {"instance_prompt_n": "old"}}}
+ p = {"n": {"type": "X", "slots": {"instance_prompt_n": "new"}}}
+ assert validate_only_prompts_changed(o, p) == []
+
+ def test_validate_non_prompt_rejected(self):
+ o = {"n": {"type": "X", "slots": {"timeout_n": "1"}}}
+ p = {"n": {"type": "X", "slots": {"timeout_n": "2"}}}
+ assert len(validate_only_prompts_changed(o, p)) == 1
+
+ def test_validate_structural_change(self):
+ o = {"n": {"type": "X", "id": "a", "slots": {}}}
+ p = {"n": {"type": "X", "id": "b", "slots": {}}}
+ assert len(validate_only_prompts_changed(o, p)) >= 1
+
+ def test_validate_node_count_change(self):
+ o = {"n1": {"type": "X", "slots": {}}}
+ p = {"n1": {"type": "X", "slots": {}}, "n2": {"type": "Y", "slots": {}}}
+ assert len(validate_only_prompts_changed(o, p)) >= 1
+
+ def test_validate_non_dict_node(self):
+ o = {"m": "string"}
+ p = {"m": "different"}
+ assert len(validate_only_prompts_changed(o, p)) >= 1
+
+ def test_validate_non_dict_unchanged(self):
+ o = {"m": "same"}
+ assert validate_only_prompts_changed(o, o) == []
+
+ def test_validate_field_changes(self):
+ o = {"n": {"type": "X", "command": "a", "slots": {}}}
+ p = {"n": {"type": "X", "command": "b", "slots": {}}}
+ assert len(validate_only_prompts_changed(o, p)) >= 1
+
+ def test_apply_slot_edits(self):
+ surface = {"b": {"slots": {"task_prompt_b": "old"}}}
+ edits = [SlotEdit(node_id="b", slot_name="task_prompt_b", new_value="new")]
+ result = apply_slot_edits(surface, edits)
+ assert result["b"]["slots"]["task_prompt_b"] == "new"
+ assert surface["b"]["slots"]["task_prompt_b"] == "old"
+
+ def test_apply_slot_edits_missing_node(self):
+ surface = {"b": {"slots": {"task_prompt_b": "old"}}}
+ edits = [SlotEdit(node_id="missing", slot_name="x", new_value="y")]
+ result = apply_slot_edits(surface, edits)
+ assert result == surface
+
+ def test_compute_magnitude_zero(self):
+ assert compute_prompt_change_magnitude("same", "same") == 0
+
+ def test_compute_magnitude_change(self):
+ assert compute_prompt_change_magnitude("a\nb\nc", "a\nX\nc") == 2
+
+ def test_render_skill_from_slots_swebench(self):
+ from factory.workflow.definitions import register_all
+ wf = register_all()
+ if "swebench" not in wf:
+ return
+ with tempfile.NamedTemporaryFile(suffix=".md", delete=False, mode="w") as f:
+ f.write("")
+ path = f.name
+ try:
+ slots = {"task_prompt_builder": "test prompt"}
+ result = render_skill_from_slots("swebench", slots, path)
+ assert "test prompt" in result
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_swebench(self):
+ from factory.workflow.definitions import register_all
+ wf = register_all()
+ if "swebench" not in wf:
+ return
+ surface = {
+ "builder": {"type": "AgentNode", "id": "builder",
+ "slots": {"task_prompt_builder": "modified prompt"}},
+ }
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf2 = yaml_to_workflow(path, "swebench")
+ assert wf2.nodes["builder"].prompt_template == "modified prompt"
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_llmnode(self):
+ from factory.workflow.definitions import register_all
+ wf = register_all()
+ if "mini-swebench" not in wf:
+ return
+ surface = {
+ "solver": {"type": "LLMNode", "id": "solver",
+ "slots": {"instance_prompt_solver": "new inst",
+ "system_prompt_solver": "new sys"}},
+ }
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf = yaml_to_workflow(path, "mini-swebench")
+ assert wf.nodes["solver"].instance_prompt == "new inst"
+ assert wf.nodes["solver"].system_prompt == "new sys"
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_with_base(self):
+ from factory.workflow.definitions import register_all
+ wf_orig = register_all().get("swebench")
+ if not wf_orig:
+ return
+ surface = {
+ "builder": {"slots": {"task_prompt_builder": "override"}},
+ }
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf = yaml_to_workflow(path, "swebench", workflow=wf_orig)
+ assert wf.nodes["builder"].prompt_template == "override"
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_unknown_raises(self):
+ surface = {"n": {"slots": {}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ import pytest
+ with pytest.raises(ValueError, match="Unknown workflow"):
+ yaml_to_workflow(path, "nonexistent-workflow-xyz")
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_timeout_override(self):
+ from factory.workflow.definitions import register_all
+ if "swebench" not in register_all():
+ return
+ surface = {"builder": {"slots": {"timeout_builder": "9999"}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf = yaml_to_workflow(path, "swebench")
+ assert wf.nodes["builder"].timeout == 9999
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_max_turns_override(self):
+ from factory.workflow.definitions import register_all
+ if "mini-swebench" not in register_all():
+ return
+ surface = {"solver": {"slots": {"max_turns_solver": "200"}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf = yaml_to_workflow(path, "mini-swebench")
+ assert wf.nodes["solver"].max_turns == 200
+ finally:
+ os.unlink(path)
+
+ def test_render_skill_llmnode(self):
+ from factory.workflow.definitions import register_all
+ if "mini-swebench" not in register_all():
+ return
+ with tempfile.NamedTemporaryFile(suffix=".md", delete=False, mode="w") as f:
+ f.write("")
+ path = f.name
+ try:
+ slots = {"instance_prompt_solver": "test instance prompt"}
+ result = render_skill_from_slots("mini-swebench", slots, path)
+ assert "test instance prompt" in result
+ finally:
+ os.unlink(path)
+
+
+# ── cli --from-yaml ──────────────────────────────────────────
+
+
+class TestCliFromYaml:
+ def test_from_yaml_flag_registered(self):
+ import argparse
+
+ from factory.workflow.cli import add_workflow_parser
+ parser = argparse.ArgumentParser()
+ sub = parser.add_subparsers()
+ add_workflow_parser(sub)
+ args = parser.parse_args(["workflow", "run", "swebench", "/tmp", "--from-yaml", "/tmp/x.yaml"])
+ assert args.from_yaml == "/tmp/x.yaml"
+
+
+class TestYamlSurfaceMoreBranches:
+ def test_yaml_to_workflow_gate_prompt(self):
+ from factory.workflow.definitions import register_all
+ if "swebench" not in register_all():
+ return
+ import tempfile
+ surface = {"gate_verify": {"slots": {"gate_prompt_gate_verify": "custom gate"}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ yaml_to_workflow(path, "swebench")
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_max_iterations(self):
+ from factory.workflow.definitions import register_all
+ if "swebench" not in register_all():
+ return
+ import tempfile
+ surface = {"builder": {"slots": {"max_iterations_builder": "5"}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ wf = yaml_to_workflow(path, "swebench")
+ assert wf.nodes["builder"].max_iterations == 5
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_no_slots(self):
+ import tempfile
+ surface = {"builder": {"type": "AgentNode"}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ yaml_to_workflow(path, "swebench")
+ finally:
+ os.unlink(path)
+
+ def test_yaml_to_workflow_non_dict_node(self):
+ import tempfile
+ surface = {"metadata": "just a string", "builder": {"slots": {"task_prompt_builder": "p"}}}
+ with tempfile.NamedTemporaryFile(suffix=".yaml", delete=False, mode="w") as f:
+ yaml.dump(surface, f)
+ path = f.name
+ try:
+ yaml_to_workflow(path, "swebench")
+ finally:
+ os.unlink(path)
+
+ def test_render_skill_unknown_workflow(self):
+ import pytest
+ with pytest.raises(ValueError):
+ render_skill_from_slots("nonexistent-xyz", {}, "/tmp/x.md")
+
+ def test_validate_edges_change(self):
+ orig = {"n": {"type": "X", "edges_out": [{"target": "a"}], "slots": {}}}
+ prop = {"n": {"type": "X", "edges_out": [{"target": "b"}], "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_type_change(self):
+ orig = {"n": {"type": "A", "slots": {}}}
+ prop = {"n": {"type": "B", "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_reads_change(self):
+ orig = {"n": {"type": "X", "reads": ["a.md"], "slots": {}}}
+ prop = {"n": {"type": "X", "reads": ["b.md"], "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_writes_change(self):
+ orig = {"n": {"type": "X", "writes": ["a.md"], "slots": {}}}
+ prop = {"n": {"type": "X", "writes": ["b.md"], "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_evaluator_command_change(self):
+ orig = {"n": {"type": "X", "evaluator_command": "a", "slots": {}}}
+ prop = {"n": {"type": "X", "evaluator_command": "b", "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_evaluator_type_change(self):
+ orig = {"n": {"type": "X", "evaluator_type": "fn", "slots": {}}}
+ prop = {"n": {"type": "X", "evaluator_type": "agent", "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_role_change(self):
+ orig = {"n": {"type": "X", "role": "builder", "slots": {}}}
+ prop = {"n": {"type": "X", "role": "researcher", "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
+
+ def test_validate_blocking_change(self):
+ orig = {"n": {"type": "X", "blocking": True, "slots": {}}}
+ prop = {"n": {"type": "X", "blocking": False, "slots": {}}}
+ violations = validate_only_prompts_changed(orig, prop)
+ assert len(violations) >= 1
diff --git a/uv.lock b/uv.lock
index 70f2fa614..40608cb80 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,151 @@
version = 1
revision = 3
requires-python = ">=3.11"
+resolution-markers = [
+ "python_full_version >= '3.14'",
+ "python_full_version == '3.13.*'",
+ "python_full_version < '3.13'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.7.1"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
+ { url = "https://files.pythonhosted.org/packages/71/43/1947f06babed6b3f1d7f38b0c767f52df66bfb2bc10b468c4a7de9eceff2/aiohappyeyeballs-2.7.1-py3-none-any.whl", hash = "sha256:9243213661e29250eb41368e5daa826fc017156c3b8a11440826b2e3ed376472", size = 15038, upload-time = "2026-07-01T17:11:54.055Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.14.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "aiohappyeyeballs" },
+ { name = "aiosignal" },
+ { name = "attrs" },
+ { name = "frozenlist" },
+ { name = "multidict" },
+ { name = "propcache" },
+ { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+ { name = "yarl" },
+]
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