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+REDIS_HOST=redis +REDIS_PORT=6379 +REDIS_URL=redis://redis:6379/0 + +# MinIO / S3 +S3_ENDPOINT=http://minio:9000 +S3_REGION=us-east-1 +S3_ACCESS_KEY=minioadmin +S3_SECRET_KEY=minioadmin +S3_BUCKET=docling +S3_PRESIGN_TTL=3600 + +# Worker +WORKER_CONCURRENCY=1 +JOB_TIMEOUT_SECONDS=600 +WEBHOOK_MAX_RETRIES=3 +OMP_NUM_THREADS=2 +MKL_NUM_THREADS=2 + +# OCR engine selection — rapidocr|easyocr|tesseract +# Primary is loaded eagerly at worker startup; fallback is loaded lazily on first failure. +# Set OCR_ENGINE_FALLBACK= (empty) to disable fallback. +OCR_ENGINE_PRIMARY=rapidocr +OCR_ENGINE_FALLBACK=easyocr + +# API +API_MAX_UPLOAD_MB=100 +API_LOG_LEVEL=info diff --git a/apps/app_docling_api/Dockerfile b/apps/app_docling_api/Dockerfile new file mode 100644 index 0000000..64aaff5 --- /dev/null +++ b/apps/app_docling_api/Dockerfile @@ -0,0 +1,58 @@ +# ===================================================================== +# Builder — uv-managed Python 3.12 + venv at /app/.venv. +# Build context must be the stack-py repo root. +# ===================================================================== +FROM python:3.12-slim-bookworm AS builder + +COPY --from=ghcr.io/astral-sh/uv:0.5 /uv /usr/local/bin/uv + +ENV UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + UV_PYTHON_PREFERENCE=only-managed \ + UV_PYTHON_INSTALL_DIR=/python \ + UV_PROJECT_ENVIRONMENT=/app/.venv + +RUN uv python install 3.12.8 + +WORKDIR /app + +# Workspace manifests first so the dep layer caches independently of source. +COPY pyproject.toml uv.lock* ./ +COPY common/pyproject.toml common/pyproject.toml +COPY apps/app_docling_api/pyproject.toml apps/app_docling_api/pyproject.toml +COPY apps/app_docling_worker/pyproject.toml apps/app_docling_worker/pyproject.toml +COPY apps/app_docling_common/pyproject.toml apps/app_docling_common/pyproject.toml +COPY apps/app_admin/pyproject.toml apps/app_admin/pyproject.toml +COPY apps/app_sample/pyproject.toml apps/app_sample/pyproject.toml +COPY apps/app_nippon_rfq_matching/pyproject.toml apps/app_nippon_rfq_matching/pyproject.toml + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --no-dev --package app-docling-api --no-install-project + +# Source +COPY common ./common +COPY apps/app_docling_common ./apps/app_docling_common +COPY apps/app_docling_api ./apps/app_docling_api + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --no-dev --package app-docling-api + +# ===================================================================== +# Runtime — distroless cc (glibc + libstdc++, no shell, no apt). +# ===================================================================== +FROM gcr.io/distroless/cc-debian12:nonroot + +COPY --from=builder --chown=nonroot:nonroot /python /python +COPY --from=builder --chown=nonroot:nonroot /app /app + +# psycopg[binary] needs libz at runtime; distroless cc ships glibc + libstdc++ but not zlib. +COPY --from=builder /usr/lib/x86_64-linux-gnu/libz.so.1 /usr/lib/x86_64-linux-gnu/libz.so.1 + +ENV PATH="/app/.venv/bin:/python/bin:$PATH" \ + PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 + +WORKDIR /app +EXPOSE 8000 + +CMD ["/app/.venv/bin/python", "-m", "uvicorn", "apps.app_docling_api.app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/apps/app_docling_api/__init__.py b/apps/app_docling_api/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_api/alembic.ini b/apps/app_docling_api/alembic.ini new file mode 100644 index 0000000..190fa8c --- /dev/null +++ b/apps/app_docling_api/alembic.ini @@ -0,0 +1,40 @@ +[alembic] +script_location = %(here)s/migrations +# stack-py repo root, so `apps.app_docling_api.*` resolves regardless of CWD; +# `app_docling_common` is installed into the venv via the uv workspace. +prepend_sys_path = %(here)s/../.. +sqlalchemy.url = + +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/apps/app_docling_api/app/__init__.py b/apps/app_docling_api/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_api/app/deps.py b/apps/app_docling_api/app/deps.py new file mode 100644 index 0000000..3bb2e38 --- /dev/null +++ b/apps/app_docling_api/app/deps.py @@ -0,0 +1,25 @@ +from collections.abc import Iterator + +from app_docling_common.config import get_settings +from app_docling_common.db import get_session_factory +from app_docling_common.storage import ObjectStorage +from arq import create_pool +from arq.connections import RedisSettings +from sqlalchemy.orm import Session + + +def get_db() -> Iterator[Session]: + session = get_session_factory()() + try: + yield session + finally: + session.close() + + +def get_storage() -> ObjectStorage: + return ObjectStorage() + + +async def get_arq_pool(): + settings = get_settings() + return await create_pool(RedisSettings.from_dsn(settings.redis_url)) diff --git a/apps/app_docling_api/app/main.py b/apps/app_docling_api/app/main.py new file mode 100644 index 0000000..25259da --- /dev/null +++ b/apps/app_docling_api/app/main.py @@ -0,0 +1,31 @@ +from contextlib import asynccontextmanager + +from app_docling_common.storage import ObjectStorage +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from pydantic import ValidationError + +from apps.app_docling_api.app.routes import health, jobs + + +@asynccontextmanager +async def lifespan(app: FastAPI): + ObjectStorage().ensure_bucket() + yield + + +app = FastAPI(title="docling-api", version="0.1.0", lifespan=lifespan) + + +# JobOptions is parsed inside the route via `model_validate_json` (it comes +# from a multipart form field, not a JSON body), so FastAPI's built-in +# RequestValidationError handler doesn't fire — pydantic's ValidationError +# bubbles up as a 500. Map it explicitly to 422 so clients see a typed +# validation failure instead of an opaque server error. +@app.exception_handler(ValidationError) +async def _on_validation_error(request: Request, exc: ValidationError) -> JSONResponse: + return JSONResponse(status_code=422, content={"detail": exc.errors()}) + + +app.include_router(health.router) +app.include_router(jobs.router) diff --git a/apps/app_docling_api/app/routes/__init__.py b/apps/app_docling_api/app/routes/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_api/app/routes/health.py b/apps/app_docling_api/app/routes/health.py new file mode 100644 index 0000000..4b4ab59 --- /dev/null +++ b/apps/app_docling_api/app/routes/health.py @@ -0,0 +1,8 @@ +from fastapi import APIRouter + +router = APIRouter(tags=["health"]) + + +@router.get("/healthz") +def healthz() -> dict[str, str]: + return {"status": "ok"} diff --git a/apps/app_docling_api/app/routes/jobs.py b/apps/app_docling_api/app/routes/jobs.py new file mode 100644 index 0000000..e1f9f1d --- /dev/null +++ b/apps/app_docling_api/app/routes/jobs.py @@ -0,0 +1,142 @@ +from __future__ import annotations + +import uuid +from datetime import UTC, datetime + +from app_docling_common.config import get_settings +from app_docling_common.models import Job, JobStatus, WebhookStatus +from app_docling_common.queue import PARSE_TASK, QUEUE_NAME +from app_docling_common.storage import ObjectStorage +from arq import ArqRedis +from fastapi import ( + APIRouter, + Depends, + File, + Form, + HTTPException, + Request, + UploadFile, + status, +) +from sqlalchemy.orm import Session + +from apps.app_docling_api.app.deps import get_arq_pool, get_db, get_storage +from apps.app_docling_api.app.schemas import ( + JobCreateResponse, + JobOptions, + JobResult, + JobView, +) + +router = APIRouter(prefix="/jobs", tags=["jobs"]) + +_MB = 1024 * 1024 + + +@router.post("", response_model=JobCreateResponse, status_code=status.HTTP_202_ACCEPTED) +async def create_job( + request: Request, + file: UploadFile = File(...), + options: str | None = Form(default=None), + db: Session = Depends(get_db), + storage: ObjectStorage = Depends(get_storage), + pool: ArqRedis = Depends(get_arq_pool), +) -> JobCreateResponse: + settings = get_settings() + opts = JobOptions.model_validate_json(options) if options else JobOptions() + + payload = await file.read() + if len(payload) > settings.api_max_upload_mb * _MB: + raise HTTPException( + status_code=413, + detail=f"file exceeds {settings.api_max_upload_mb} MB limit", + ) + + job_id = uuid.uuid4() + input_key = f"inputs/{job_id}/{file.filename or 'document'}" + storage.upload_bytes(payload, input_key, content_type=file.content_type) + + job = Job( + job_id=job_id, + status=JobStatus.queued, + input_key=input_key, + output_format=opts.output_format, + options=opts.model_dump(mode="json", exclude={"webhook_url", "callback_token"}), + webhook_url=str(opts.webhook_url) if opts.webhook_url else None, + webhook_status=( + WebhookStatus.pending if opts.webhook_url else WebhookStatus.not_configured + ), + ) + db.add(job) + db.commit() + + await pool.enqueue_job( + PARSE_TASK, + str(job_id), + opts.callback_token, + _queue_name=QUEUE_NAME, + _job_id=str(job_id), + ) + + return JobCreateResponse( + job_id=job_id, + status=JobStatus.queued, + status_url=str(request.url_for("get_job", job_id=str(job_id))), + ) + + +@router.get("/{job_id}", response_model=JobView, name="get_job") +def get_job(job_id: uuid.UUID, db: Session = Depends(get_db)) -> JobView: + job = db.get(Job, job_id) + if not job: + raise HTTPException(status_code=404, detail="job not found") + return JobView( + job_id=job.job_id, + status=job.status, + output_format=job.output_format, + error=job.error, + webhook_status=job.webhook_status, + attempts=job.attempts, + created_at=job.created_at, + updated_at=job.updated_at, + started_at=job.started_at, + finished_at=job.finished_at, + ) + + +@router.get("/{job_id}/result", response_model=JobResult) +def get_job_result( + job_id: uuid.UUID, + db: Session = Depends(get_db), + storage: ObjectStorage = Depends(get_storage), +) -> JobResult: + job = db.get(Job, job_id) + if not job: + raise HTTPException(status_code=404, detail="job not found") + if job.status not in (JobStatus.done, JobStatus.failed): + raise HTTPException( + status_code=409, detail=f"job not finished (status={job.status.value})" + ) + + result_url = storage.presigned_get(job.result_key) if job.result_key else None + return JobResult( + job_id=job.job_id, + status=job.status, + output_format=job.output_format, + result_url=result_url, + error=job.error, + ) + + +@router.post("/{job_id}/cancel", response_model=JobView) +def cancel_job(job_id: uuid.UUID, db: Session = Depends(get_db)) -> JobView: + job = db.get(Job, job_id) + if not job: + raise HTTPException(status_code=404, detail="job not found") + if job.status not in (JobStatus.queued, JobStatus.processing): + raise HTTPException(status_code=409, detail="job already finished") + job.status = JobStatus.failed + job.error = "cancelled by client" + job.finished_at = datetime.now(UTC) + db.commit() + return get_job(job_id, db) diff --git a/apps/app_docling_api/app/schemas.py b/apps/app_docling_api/app/schemas.py new file mode 100644 index 0000000..c969af5 --- /dev/null +++ b/apps/app_docling_api/app/schemas.py @@ -0,0 +1,49 @@ +from __future__ import annotations + +import uuid +from datetime import datetime +from typing import Literal + +from app_docling_common.models import JobStatus, WebhookStatus +from pydantic import BaseModel, Field, HttpUrl + + +class JobOptions(BaseModel): + ocr: bool = True + ocr_engine: Literal["rapidocr", "easyocr", "tesseract"] | None = Field( + default=None, + description="Override the worker's default primary OCR engine for this job.", + ) + output_format: Literal["markdown", "json", "text"] = "markdown" + webhook_url: HttpUrl | None = None + callback_token: str | None = Field( + default=None, + description="Shared secret used to HMAC-sign the webhook payload", + ) + + +class JobCreateResponse(BaseModel): + job_id: uuid.UUID + status: JobStatus + status_url: str + + +class JobView(BaseModel): + job_id: uuid.UUID + status: JobStatus + output_format: str + error: str | None + webhook_status: WebhookStatus + attempts: int + created_at: datetime + updated_at: datetime + started_at: datetime | None + finished_at: datetime | None + + +class JobResult(BaseModel): + job_id: uuid.UUID + status: JobStatus + output_format: str + result_url: str | None + error: str | None diff --git a/apps/app_docling_api/app/version.py b/apps/app_docling_api/app/version.py new file mode 100644 index 0000000..3dc1f76 --- /dev/null +++ b/apps/app_docling_api/app/version.py @@ -0,0 +1 @@ +__version__ = "0.1.0" diff --git a/apps/app_docling_api/docker-compose.yml b/apps/app_docling_api/docker-compose.yml new file mode 100644 index 0000000..5fa3b66 --- /dev/null +++ b/apps/app_docling_api/docker-compose.yml @@ -0,0 +1,115 @@ +name: docling + +# Run this from `apps/app_docling_api/` so relative paths resolve correctly. +# Build context is `../..` (the stack-py repo root) because the Dockerfiles +# COPY workspace manifests + common/ + the app's own dir. +services: + postgres: + image: postgres:16-alpine + # Loads pg_stat_statements at server start so the extension can be created + # in-database. log_min_duration_statement captures any query slower than + # 50ms in postgres logs — useful as a tripwire if pg_stat_statements is + # ever disabled. + command: + - "postgres" + - "-c" + - "shared_preload_libraries=pg_stat_statements" + - "-c" + - "pg_stat_statements.track=all" + - "-c" + - "log_min_duration_statement=50" + environment: + POSTGRES_USER: ${POSTGRES_USER:-docling} + POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-docling} + POSTGRES_DB: ${POSTGRES_DB:-docling} + ports: + - "${POSTGRES_HOST_PORT:-5435}:5432" + volumes: + - postgres_data:/var/lib/postgresql/data + healthcheck: + test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-docling}"] + interval: 5s + timeout: 3s + retries: 10 + + redis: + image: redis:7-alpine + # internal only; expose via REDIS_HOST_PORT if you need host access + ports: + - "${REDIS_HOST_PORT:-6380}:6379" + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 5s + timeout: 3s + retries: 10 + + minio: + image: minio/minio:latest + command: server /data --console-address ":9001" + environment: + MINIO_ROOT_USER: ${S3_ACCESS_KEY:-minioadmin} + MINIO_ROOT_PASSWORD: ${S3_SECRET_KEY:-minioadmin} + ports: + - "${MINIO_API_HOST_PORT:-9002}:9000" + - "${MINIO_CONSOLE_HOST_PORT:-9003}:9001" + volumes: + - minio_data:/data + healthcheck: + test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"] + interval: 5s + timeout: 3s + retries: 10 + + migrate: + build: + context: ../.. + dockerfile: apps/app_docling_api/Dockerfile + working_dir: /app + command: ["/app/.venv/bin/alembic", "-c", "apps/app_docling_api/alembic.ini", "upgrade", "head"] + env_file: .env + depends_on: + postgres: + condition: service_healthy + + api: + build: + context: ../.. + dockerfile: apps/app_docling_api/Dockerfile + env_file: .env + ports: + - "${API_HOST_PORT:-8001}:8000" + depends_on: + postgres: + condition: service_healthy + redis: + condition: service_healthy + minio: + condition: service_healthy + migrate: + condition: service_completed_successfully + healthcheck: + test: ["CMD", "/app/.venv/bin/python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/healthz')"] + interval: 10s + timeout: 3s + retries: 5 + + worker: + build: + context: ../.. + dockerfile: apps/app_docling_worker/Dockerfile + env_file: .env + deploy: + replicas: 2 + depends_on: + postgres: + condition: service_healthy + redis: + condition: service_healthy + minio: + condition: service_healthy + migrate: + condition: service_completed_successfully + +volumes: + postgres_data: + minio_data: diff --git a/apps/app_docling_api/migrations/env.py b/apps/app_docling_api/migrations/env.py new file mode 100644 index 0000000..5d8cc89 --- /dev/null +++ b/apps/app_docling_api/migrations/env.py @@ -0,0 +1,43 @@ +from logging.config import fileConfig + +from alembic import context +from app_docling_common.config import get_settings +from app_docling_common.models import Base +from sqlalchemy import engine_from_config, pool + +config = context.config +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +config.set_main_option("sqlalchemy.url", get_settings().database_url) + +target_metadata = Base.metadata + + +def run_migrations_offline() -> None: + context.configure( + url=config.get_main_option("sqlalchemy.url"), + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/apps/app_docling_api/migrations/versions/0001_init_jobs.py b/apps/app_docling_api/migrations/versions/0001_init_jobs.py new file mode 100644 index 0000000..755407a --- /dev/null +++ b/apps/app_docling_api/migrations/versions/0001_init_jobs.py @@ -0,0 +1,71 @@ +"""init jobs table + +Revision ID: 0001 +Revises: +Create Date: 2026-05-12 + +""" + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +revision = "0001" +down_revision = None +branch_labels = None +depends_on = None + + +def upgrade() -> None: + job_status = sa.Enum("queued", "processing", "done", "failed", name="job_status") + webhook_status = sa.Enum( + "pending", "delivered", "failed", "not_configured", name="webhook_status" + ) + + op.create_table( + "jobs", + sa.Column("job_id", postgresql.UUID(as_uuid=True), primary_key=True), + sa.Column("status", job_status, nullable=False), + sa.Column("input_key", sa.String, nullable=False), + sa.Column("result_key", sa.String, nullable=True), + sa.Column( + "output_format", sa.String, nullable=False, server_default="markdown" + ), + sa.Column("error", sa.String, nullable=True), + sa.Column( + "options", + postgresql.JSONB, + nullable=False, + server_default=sa.text("'{}'::jsonb"), + ), + sa.Column("webhook_url", sa.String, nullable=True), + sa.Column( + "webhook_status", + webhook_status, + nullable=False, + server_default="not_configured", + ), + sa.Column("attempts", sa.Integer, nullable=False, server_default="0"), + sa.Column( + "created_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.func.now(), + ), + sa.Column( + "updated_at", + sa.DateTime(timezone=True), + nullable=False, + server_default=sa.func.now(), + ), + sa.Column("started_at", sa.DateTime(timezone=True), nullable=True), + sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True), + ) + op.create_index("idx_jobs_status", "jobs", ["status"]) + + +def downgrade() -> None: + op.drop_index("idx_jobs_status", table_name="jobs") + op.drop_table("jobs") + sa.Enum(name="webhook_status").drop(op.get_bind(), checkfirst=True) + sa.Enum(name="job_status").drop(op.get_bind(), checkfirst=True) diff --git a/apps/app_docling_api/migrations/versions/0002_drop_unused_status_index.py b/apps/app_docling_api/migrations/versions/0002_drop_unused_status_index.py new file mode 100644 index 0000000..a53fb93 --- /dev/null +++ b/apps/app_docling_api/migrations/versions/0002_drop_unused_status_index.py @@ -0,0 +1,26 @@ +"""Drop unused idx_jobs_status + +The application only reads/writes jobs by primary key (job_id) — there is no +filter, list, or aggregation by status. pg_stat_user_indexes confirmed +idx_jobs_status has had zero scans under realistic load, so the index is dead +weight: it slows down INSERTs and UPDATEs to the status column without +serving any reader. + +If a future feature needs it (e.g. "list jobs in status=queued for an admin +dashboard", a janitor that purges old failed jobs), restore it here. +""" + +from alembic import op + +revision = "0002" +down_revision = "0001" +branch_labels = None +depends_on = None + + +def upgrade() -> None: + op.drop_index("idx_jobs_status", table_name="jobs") + + +def downgrade() -> None: + op.create_index("idx_jobs_status", "jobs", ["status"]) diff --git a/apps/app_docling_api/pyproject.toml b/apps/app_docling_api/pyproject.toml new file mode 100644 index 0000000..4526732 --- /dev/null +++ b/apps/app_docling_api/pyproject.toml @@ -0,0 +1,41 @@ +[project] +name = "app-docling-api" +version = "0.1.0" +description = "Docling document parsing service — HTTP API." +requires-python = "==3.12.8" +dependencies = [ + "fastapi>=0.115", + "uvicorn[standard]>=0.32", + "python-multipart>=0.0.9", + "arq>=0.26", + "alembic>=1.13", + "sqlalchemy>=2.0", + "psycopg[binary]>=3.2", + "boto3>=1.35", + "redis>=5.0", + "pydantic>=2.7", + "pydantic-settings>=2.4", + "app-docling-common", +] + +[dependency-groups] +dev = [ + "pytest>=8", + "pytest-asyncio>=0.24", + "httpx>=0.27", +] + +[tool.uv] +package = false + +[tool.uv.sources] +app-docling-common = { workspace = true } + +[tool.pytest.ini_options] +asyncio_mode = "auto" +markers = [ + "integration: requires running docker-compose stack (auto-skipped if unreachable)", +] +filterwarnings = [ + "ignore::DeprecationWarning", +] diff --git a/apps/app_docling_api/tests/__init__.py b/apps/app_docling_api/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_api/tests/conftest.py b/apps/app_docling_api/tests/conftest.py new file mode 100644 index 0000000..c703be6 --- /dev/null +++ b/apps/app_docling_api/tests/conftest.py @@ -0,0 +1,133 @@ +"""Shared fixtures for the unit-test suite. + +The `client` fixture builds a FastAPI TestClient with all three production +dependencies overridden: + +- `get_db` returns sessions bound to an in-memory sqlite engine (StaticPool + keeps the same connection across the test thread and the TestClient's + request thread). +- `get_storage` returns a `_FakeStorage` that records uploads instead of + hitting MinIO. +- `get_arq_pool` returns a `_FakeArqPool` that records enqueued tasks. + +Pytest auto-discovers this conftest for any test under tests/unit/. +""" + +from __future__ import annotations + +import os + +# Settings is a pydantic_settings.BaseSettings — these vars are read at first +# instantiation and cached via lru_cache. Set them before any test imports +# `app_docling_common.config`. +os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://test:test@localhost/test") +os.environ.setdefault("REDIS_URL", "redis://localhost:6379/15") +os.environ.setdefault("S3_ENDPOINT", "http://localhost:9000") +os.environ.setdefault("S3_ACCESS_KEY", "test") +os.environ.setdefault("S3_SECRET_KEY", "test") +os.environ.setdefault("S3_BUCKET", "docling-test") +os.environ.setdefault("OCR_ENGINE_PRIMARY", "rapidocr") +os.environ.setdefault("OCR_ENGINE_FALLBACK", "easyocr") +os.environ.setdefault("API_MAX_UPLOAD_MB", "100") + +import pytest +from app_docling_common.models import Base +from app_docling_common.storage import ObjectStorage +from fastapi.testclient import TestClient +from sqlalchemy import create_engine +from sqlalchemy.orm import Session, sessionmaker +from sqlalchemy.pool import StaticPool + +from apps.app_docling_api.app.deps import get_arq_pool, get_db, get_storage +from apps.app_docling_api.app.main import app + + +class _FakeStorage: + def __init__(self) -> None: + self.uploads: list[tuple[str, bytes, str | None]] = [] + + def upload_bytes( + self, body: bytes, key: str, content_type: str | None = None + ) -> None: + self.uploads.append((key, body, content_type)) + + def presigned_get(self, key: str, ttl: int | None = None) -> str: + return f"https://fake-s3/{key}?sig=stub" + + +class _FakeArqPool: + def __init__(self) -> None: + self.enqueued: list[tuple[str, tuple, dict]] = [] + + async def enqueue_job(self, task_name: str, *args, **kwargs) -> None: + self.enqueued.append((task_name, args, kwargs)) + + +@pytest.fixture +def db_engine(): + # SQLite in-memory engine — the schema's UUID and JSON columns are dialect + # agnostic enough that the ORM Just Works without the real Postgres types. + # StaticPool + check_same_thread=False is required because FastAPI's + # TestClient runs requests on a worker thread distinct from the test thread; + # StaticPool keeps the same connection (and in-memory DB) across both. + engine = create_engine( + "sqlite:///:memory:", + future=True, + connect_args={"check_same_thread": False}, + poolclass=StaticPool, + ) + Base.metadata.create_all(engine) + try: + yield engine + finally: + engine.dispose() + + +@pytest.fixture +def db_session(db_engine): + SessionLocal = sessionmaker(bind=db_engine, expire_on_commit=False) + session: Session = SessionLocal() + try: + yield session + finally: + session.close() + + +@pytest.fixture +def client(db_engine, db_session, monkeypatch): + # main.py's lifespan calls ObjectStorage().ensure_bucket() directly (not via + # FastAPI dependency injection), so the get_storage override below cannot + # intercept it. Patch ensure_bucket here so TestClient's lifespan doesn't + # attempt a real S3 round-trip against MinIO. + monkeypatch.setattr(ObjectStorage, "ensure_bucket", lambda self: None) + + storage = _FakeStorage() + pool = _FakeArqPool() + RequestSession = sessionmaker(bind=db_engine, expire_on_commit=False) + + def _override_db(): + # Each request gets its own session bound to the shared engine. The + # test thread's db_session sees the same in-memory DB because of + # StaticPool — fixture writes are visible to the request and vice versa. + s = RequestSession() + try: + yield s + finally: + s.close() + + async def _override_pool(): + return pool + + app.dependency_overrides[get_db] = _override_db + app.dependency_overrides[get_storage] = lambda: storage + app.dependency_overrides[get_arq_pool] = _override_pool + + # raise_server_exceptions=False lets us assert on the 4xx/5xx status code + # for routes that don't wrap ValidationError — without it, the exception + # bubbles up and pytest sees the raw ValidationError instead of a response. + with TestClient(app, raise_server_exceptions=False) as c: + c.storage = storage # type: ignore[attr-defined] + c.pool = pool # type: ignore[attr-defined] + yield c + + app.dependency_overrides.clear() diff --git a/apps/app_docling_api/tests/integration/conftest.py b/apps/app_docling_api/tests/integration/conftest.py new file mode 100644 index 0000000..b0f2b40 --- /dev/null +++ b/apps/app_docling_api/tests/integration/conftest.py @@ -0,0 +1,35 @@ +"""Integration test fixtures. + +These tests target the running docker-compose stack (API at API_BASE_URL, +default http://localhost:8001). If the stack is unreachable, the whole module +is skipped so `pytest` stays green in a dev environment without containers. +""" + +from __future__ import annotations + +import os + +import httpx +import pytest + +API_BASE_URL = os.environ.get("API_BASE_URL", "http://localhost:8001") + + +@pytest.fixture(scope="session") +def api_base() -> str: + return API_BASE_URL + + +@pytest.fixture(scope="session", autouse=True) +def _require_stack(api_base): + try: + r = httpx.get(f"{api_base}/healthz", timeout=2.0) + r.raise_for_status() + except Exception as e: + pytest.skip(f"docling stack not reachable at {api_base}: {e}") + + +@pytest.fixture +def client(api_base): + with httpx.Client(base_url=api_base, timeout=30.0) as c: + yield c diff --git a/apps/app_docling_api/tests/integration/test_health.py b/apps/app_docling_api/tests/integration/test_health.py new file mode 100644 index 0000000..5ed4878 --- /dev/null +++ b/apps/app_docling_api/tests/integration/test_health.py @@ -0,0 +1,23 @@ +from __future__ import annotations + +import pytest + +pytestmark = pytest.mark.integration + + +def test_healthz(client): + r = client.get("/healthz") + assert r.status_code == 200 + assert r.json()["status"] == "ok" + + +def test_openapi_exposes_job_routes(client): + r = client.get("/openapi.json") + assert r.status_code == 200 + paths = r.json().get("paths", {}) + # Catch the case where someone accidentally swaps routers or changes the + # prefix — those changes should be intentional and tested. + assert "/jobs" in paths + assert "/jobs/{job_id}" in paths + assert "/jobs/{job_id}/result" in paths + assert "/jobs/{job_id}/cancel" in paths diff --git a/apps/app_docling_api/tests/integration/test_job_e2e.py b/apps/app_docling_api/tests/integration/test_job_e2e.py new file mode 100644 index 0000000..146b978 --- /dev/null +++ b/apps/app_docling_api/tests/integration/test_job_e2e.py @@ -0,0 +1,146 @@ +"""End-to-end job test against the live stack. + +Builds a synthetic PDF (text layer + embedded table image), submits it, polls +to completion, downloads the markdown result via the worker container's +network (presigned URL is signed for the in-cluster MinIO hostname). +""" + +from __future__ import annotations + +import io +import os +import subprocess +import time + +import pytest + +pytestmark = pytest.mark.integration + + +def _make_pdf() -> bytes: + """Generate a tiny PDF with a real text layer. + + We deliberately avoid the heavier table-image PDF used by the dev script — + a plain text PDF tests the lifecycle (queue → worker → result store) just + as well, and runs in a couple of seconds instead of 15+. + """ + from reportlab.lib.pagesizes import A4 + from reportlab.pdfgen import canvas + + buf = io.BytesIO() + c = canvas.Canvas(buf, pagesize=A4) + c.setFont("Helvetica", 14) + c.drawString(72, 800, "Integration Test Document") + c.setFont("Helvetica", 11) + c.drawString(72, 770, "Hello from the docling integration suite.") + c.drawString(72, 750, "This line should appear in the parsed output.") + c.showPage() + c.save() + return buf.getvalue() + + +@pytest.fixture +def sample_pdf() -> bytes: + try: + return _make_pdf() + except ImportError: + pytest.skip("reportlab not installed in the dev environment") + + +def _poll_until_done(client, job_id: str, timeout_s: int = 120) -> dict: + deadline = time.time() + timeout_s + last = None + while time.time() < deadline: + r = client.get(f"/jobs/{job_id}") + r.raise_for_status() + last = r.json() + if last["status"] in ("done", "failed"): + return last + time.sleep(2) + raise TimeoutError(f"job {job_id} not done in {timeout_s}s; last={last}") + + +def test_full_lifecycle_markdown(client, sample_pdf): + r = client.post( + "/jobs", files={"file": ("hello.pdf", sample_pdf, "application/pdf")} + ) + assert r.status_code == 202, r.text + job_id = r.json()["job_id"] + assert r.json()["status"] == "queued" + + final = _poll_until_done(client, job_id, timeout_s=120) + assert final["status"] == "done", f"job failed: {final}" + assert final["attempts"] >= 1 + assert final["started_at"] is not None + assert final["finished_at"] is not None + + res = client.get(f"/jobs/{job_id}/result") + assert res.status_code == 200 + body = res.json() + assert body["status"] == "done" + assert body["output_format"] == "markdown" + assert body["result_url"] + + # The presigned URL is signed for the in-cluster MinIO hostname + # (minio:9000). Fetch it through a container that lives on the compose + # network so signature validation passes. + md = _fetch_via_container(body["result_url"]) + assert "Hello from the docling integration suite." in md + + +def test_cancel_queued_job(client, sample_pdf): + # Submit and immediately cancel; this races the worker, so we accept either + # "cancel before processing" (failed with 'cancelled') or "worker beat us" + # (409 because already done). The point is to exercise the cancel route's + # state-machine guards. + r = client.post( + "/jobs", files={"file": ("cancel.pdf", sample_pdf, "application/pdf")} + ) + job_id = r.json()["job_id"] + + cancel = client.post(f"/jobs/{job_id}/cancel") + if cancel.status_code == 200: + assert cancel.json()["status"] == "failed" + else: + assert cancel.status_code == 409 + + +def test_text_output_format(client, sample_pdf): + r = client.post( + "/jobs", + files={"file": ("plain.pdf", sample_pdf, "application/pdf")}, + data={"options": '{"output_format":"text"}'}, + ) + assert r.status_code == 202 + job_id = r.json()["job_id"] + final = _poll_until_done(client, job_id, timeout_s=120) + assert final["status"] == "done" + assert final["output_format"] == "text" + + +def _fetch_via_container(url: str) -> str: + """Download a presigned URL. + + The presigned URL is signed for `minio:9000` (compose-internal DNS) so it + only works from a container on that network. When the test suite runs + inside the worker container, we hit MinIO directly. When run from the host, + we exec into the worker container. + """ + import urllib.request + + if os.path.exists("/.dockerenv"): + return urllib.request.urlopen(url, timeout=15).read().decode() + + worker = os.environ.get("DOCLING_WORKER_CONTAINER", "docling-worker-1") + script = ( + "import sys,urllib.request;" + f"sys.stdout.write(urllib.request.urlopen({url!r}).read().decode())" + ) + out = subprocess.run( + ["docker", "exec", worker, "python3", "-c", script], + capture_output=True, + text=True, + timeout=30, + check=True, + ) + return out.stdout diff --git a/apps/app_docling_api/tests/integration/test_validation.py b/apps/app_docling_api/tests/integration/test_validation.py new file mode 100644 index 0000000..6432f11 --- /dev/null +++ b/apps/app_docling_api/tests/integration/test_validation.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +import pytest + +pytestmark = pytest.mark.integration + + +def test_oversized_upload_is_rejected(client): + # We send a body that is *just* over the configured 100 MB default. To keep + # the test fast and not blow up CI memory, we use a smaller in-memory blob + # only when the local API is configured with a smaller limit; otherwise we + # skip. Read the limit from the API's OpenAPI doc would be nice but isn't + # exposed — settle for a sentinel that's well above any production limit. + threshold_mb = int(__import__("os").environ.get("TEST_UPLOAD_MB", "101")) + blob = b"x" * (threshold_mb * 1024 * 1024 + 10) + r = client.post("/jobs", files={"file": ("big.pdf", blob, "application/pdf")}) + assert r.status_code == 413, r.text + + +def test_invalid_options_rejected(client): + r = client.post( + "/jobs", + files={"file": ("x.pdf", b"%PDF-1.4", "application/pdf")}, + data={"options": '{"output_format":"docx"}'}, + ) + assert r.status_code == 422 + + +def test_unknown_engine_rejected(client): + r = client.post( + "/jobs", + files={"file": ("x.pdf", b"%PDF-1.4", "application/pdf")}, + data={"options": '{"ocr_engine":"paddleocr"}'}, + ) + assert r.status_code == 422 + body = r.json() + assert any("ocr_engine" in str(err.get("loc", "")) for err in body["detail"]) + + +def test_get_unknown_job_returns_404(client): + r = client.get("/jobs/00000000-0000-0000-0000-000000000000") + assert r.status_code == 404 diff --git a/apps/app_docling_api/tests/test_jobs_cancel.py b/apps/app_docling_api/tests/test_jobs_cancel.py new file mode 100644 index 0000000..07bdd9e --- /dev/null +++ b/apps/app_docling_api/tests/test_jobs_cancel.py @@ -0,0 +1,48 @@ +"""POST /jobs/{id}/cancel — state-machine guards.""" + +from __future__ import annotations + +import uuid +from datetime import UTC, datetime + +from app_docling_common.models import Job, JobStatus + + +def test_cancel_transitions_to_failed(client, db_session): + job_id = uuid.uuid4() + db_session.add( + Job( + job_id=job_id, + status=JobStatus.queued, + input_key="inputs/foo/x.pdf", + output_format="markdown", + options={}, + ) + ) + db_session.commit() + + r = client.post(f"/jobs/{job_id}/cancel") + assert r.status_code == 200 + assert r.json()["status"] == "failed" + + db_session.expire_all() + job = db_session.get(Job, job_id) + assert job.error == "cancelled by client" + assert job.finished_at is not None + + +def test_cancel_rejects_already_finished_job(client, db_session): + job_id = uuid.uuid4() + db_session.add( + Job( + job_id=job_id, + status=JobStatus.done, + input_key="inputs/foo/x.pdf", + output_format="markdown", + options={}, + finished_at=datetime.now(UTC), + ) + ) + db_session.commit() + r = client.post(f"/jobs/{job_id}/cancel") + assert r.status_code == 409 diff --git a/apps/app_docling_api/tests/test_jobs_create.py b/apps/app_docling_api/tests/test_jobs_create.py new file mode 100644 index 0000000..72b0f43 --- /dev/null +++ b/apps/app_docling_api/tests/test_jobs_create.py @@ -0,0 +1,98 @@ +"""POST /jobs — request validation, persistence, and queue side-effects.""" + +from __future__ import annotations + +import uuid + +from app_docling_common.models import Job, JobStatus, WebhookStatus + + +def test_create_job_accepts_pdf_and_enqueues(client, db_session): + r = client.post( + "/jobs", + files={"file": ("test.pdf", b"%PDF-1.4\nfake", "application/pdf")}, + ) + assert r.status_code == 202, r.text + body = r.json() + assert body["status"] == "queued" + assert "status_url" in body + + job_id = uuid.UUID(body["job_id"]) + job = db_session.get(Job, job_id) + assert job is not None + assert job.status == JobStatus.queued + assert job.input_key.startswith(f"inputs/{job_id}/") + assert job.webhook_status == WebhookStatus.not_configured + + # Storage and queue side-effects fired. + assert len(client.storage.uploads) == 1 + assert client.storage.uploads[0][0] == job.input_key + assert len(client.pool.enqueued) == 1 + + +def test_create_job_with_options_persists_webhook_and_engine(client, db_session): + options_json = ( + '{"output_format":"json","ocr_engine":"tesseract",' + '"webhook_url":"https://hook.example.com/x","callback_token":"sec"}' + ) + r = client.post( + "/jobs", + files={"file": ("doc.pdf", b"%PDF-1.4", "application/pdf")}, + data={"options": options_json}, + ) + assert r.status_code == 202, r.text + job_id = uuid.UUID(r.json()["job_id"]) + job = db_session.get(Job, job_id) + + assert job.output_format == "json" + assert job.options["ocr_engine"] == "tesseract" + # callback_token and webhook_url are intentionally NOT persisted in options + # (the route excludes them — the token only flows through the enqueue args). + assert "callback_token" not in job.options + assert "webhook_url" not in job.options + assert job.webhook_url == "https://hook.example.com/x" + assert job.webhook_status == WebhookStatus.pending + + +def test_create_job_rejects_invalid_options_json(client): + r = client.post( + "/jobs", + files={"file": ("doc.pdf", b"%PDF-1.4", "application/pdf")}, + data={"options": "{not-json"}, + ) + # The app installs a ValidationError handler that returns 422 with the + # pydantic error list, so malformed JSON and unknown literals look the + # same to clients (proper validation failure, not a 500). + assert r.status_code == 422 + assert "detail" in r.json() + + +def test_create_job_rejects_unknown_ocr_engine(client): + r = client.post( + "/jobs", + files={"file": ("doc.pdf", b"%PDF-1.4", "application/pdf")}, + data={"options": '{"ocr_engine":"paddleocr"}'}, + ) + assert r.status_code == 422 + # The detail should carry the offending field path so clients can pinpoint + # the bad input. + body = r.json() + assert any("ocr_engine" in str(err.get("loc", "")) for err in body["detail"]) + + +def test_create_job_rejects_oversize_upload(client, monkeypatch): + from app_docling_common.config import get_settings + + # Shrink the limit so we don't have to push megabytes through the test. + get_settings.cache_clear() + monkeypatch.setenv("API_MAX_UPLOAD_MB", "1") + try: + big = b"x" * (1024 * 1024 + 10) # 1 MB + 10 bytes + r = client.post( + "/jobs", + files={"file": ("big.pdf", big, "application/pdf")}, + ) + assert r.status_code == 413 + assert "limit" in r.json()["detail"].lower() + finally: + get_settings.cache_clear() diff --git a/apps/app_docling_api/tests/test_jobs_read.py b/apps/app_docling_api/tests/test_jobs_read.py new file mode 100644 index 0000000..b4f4aab --- /dev/null +++ b/apps/app_docling_api/tests/test_jobs_read.py @@ -0,0 +1,76 @@ +"""Read endpoints — GET /healthz, GET /jobs/{id}, GET /jobs/{id}/result.""" + +from __future__ import annotations + +import uuid + +from app_docling_common.models import Job, JobStatus + + +def test_healthz_ok(client): + r = client.get("/healthz") + assert r.status_code == 200 + assert r.json() == {"status": "ok"} + + +def test_get_job_returns_404_when_missing(client): + r = client.get(f"/jobs/{uuid.uuid4()}") + assert r.status_code == 404 + + +def test_get_job_returns_full_view(client, db_session): + job_id = uuid.uuid4() + db_session.add( + Job( + job_id=job_id, + status=JobStatus.processing, + input_key="inputs/foo/x.pdf", + output_format="markdown", + options={}, + attempts=1, + ) + ) + db_session.commit() + + r = client.get(f"/jobs/{job_id}") + assert r.status_code == 200 + data = r.json() + assert data["status"] == "processing" + assert data["attempts"] == 1 + assert data["finished_at"] is None + + +def test_get_result_returns_409_when_not_finished(client, db_session): + job_id = uuid.uuid4() + db_session.add( + Job( + job_id=job_id, + status=JobStatus.queued, + input_key="inputs/foo/x.pdf", + output_format="markdown", + options={}, + ) + ) + db_session.commit() + r = client.get(f"/jobs/{job_id}/result") + assert r.status_code == 409 + + +def test_get_result_returns_presigned_url_when_done(client, db_session): + job_id = uuid.uuid4() + db_session.add( + Job( + job_id=job_id, + status=JobStatus.done, + input_key="inputs/foo/x.pdf", + result_key=f"results/{job_id}/document.md", + output_format="markdown", + options={}, + ) + ) + db_session.commit() + r = client.get(f"/jobs/{job_id}/result") + assert r.status_code == 200 + body = r.json() + assert body["status"] == "done" + assert body["result_url"].startswith("https://fake-s3/results/") diff --git a/apps/app_docling_api/tests/test_schemas.py b/apps/app_docling_api/tests/test_schemas.py new file mode 100644 index 0000000..73ebd99 --- /dev/null +++ b/apps/app_docling_api/tests/test_schemas.py @@ -0,0 +1,62 @@ +from __future__ import annotations + +import pytest +from pydantic import ValidationError + +from apps.app_docling_api.app.schemas import JobOptions + + +def test_defaults(): + opts = JobOptions() + assert opts.ocr is True + assert opts.ocr_engine is None + assert opts.output_format == "markdown" + assert opts.webhook_url is None + assert opts.callback_token is None + + +def test_accepts_all_supported_engines(): + for engine in ("rapidocr", "easyocr", "tesseract"): + opts = JobOptions(ocr_engine=engine) + assert opts.ocr_engine == engine + + +def test_rejects_unknown_engine(): + with pytest.raises(ValidationError): + JobOptions(ocr_engine="paddleocr") + + +def test_accepts_supported_output_formats(): + for fmt in ("markdown", "json", "text"): + assert JobOptions(output_format=fmt).output_format == fmt + + +def test_rejects_unknown_output_format(): + with pytest.raises(ValidationError): + JobOptions(output_format="pdf") + + +def test_webhook_url_must_be_valid_http(): + with pytest.raises(ValidationError): + JobOptions(webhook_url="not-a-url") + + +def test_webhook_url_parsed(): + opts = JobOptions(webhook_url="https://example.com/hook") + assert str(opts.webhook_url).startswith("https://example.com") + + +def test_round_trips_through_json(): + src = JobOptions( + ocr=False, + ocr_engine="tesseract", + output_format="json", + webhook_url="https://example.com/hook", + callback_token="s3cr3t", + ) + json_data = src.model_dump_json() + parsed = JobOptions.model_validate_json(json_data) + assert parsed.ocr is False + assert parsed.ocr_engine == "tesseract" + assert parsed.output_format == "json" + assert parsed.callback_token == "s3cr3t" diff --git a/apps/app_docling_common/app_docling_common/__init__.py b/apps/app_docling_common/app_docling_common/__init__.py new file mode 100644 index 0000000..71ea260 --- /dev/null +++ b/apps/app_docling_common/app_docling_common/__init__.py @@ -0,0 +1,4 @@ +from app_docling_common.config import Settings, get_settings +from app_docling_common.models import Job, JobStatus, WebhookStatus + +__all__ = ["Settings", "get_settings", "Job", "JobStatus", "WebhookStatus"] diff --git a/apps/app_docling_common/app_docling_common/config.py b/apps/app_docling_common/app_docling_common/config.py new file mode 100644 index 0000000..a7b3073 --- /dev/null +++ b/apps/app_docling_common/app_docling_common/config.py @@ -0,0 +1,35 @@ +from functools import lru_cache + +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + model_config = SettingsConfigDict(env_file=".env", extra="ignore") + + database_url: str = Field(alias="DATABASE_URL") + redis_url: str = Field(alias="REDIS_URL") + + s3_endpoint: str = Field(alias="S3_ENDPOINT") + s3_region: str = Field(alias="S3_REGION", default="us-east-1") + s3_access_key: str = Field(alias="S3_ACCESS_KEY") + s3_secret_key: str = Field(alias="S3_SECRET_KEY") + s3_bucket: str = Field(alias="S3_BUCKET", default="docling") + s3_presign_ttl: int = Field(alias="S3_PRESIGN_TTL", default=3600) + + worker_concurrency: int = Field(alias="WORKER_CONCURRENCY", default=1) + job_timeout_seconds: int = Field(alias="JOB_TIMEOUT_SECONDS", default=600) + webhook_max_retries: int = Field(alias="WEBHOOK_MAX_RETRIES", default=3) + + ocr_engine_primary: str = Field(alias="OCR_ENGINE_PRIMARY", default="rapidocr") + ocr_engine_fallback: str | None = Field( + alias="OCR_ENGINE_FALLBACK", default="easyocr" + ) + + api_max_upload_mb: int = Field(alias="API_MAX_UPLOAD_MB", default=100) + api_log_level: str = Field(alias="API_LOG_LEVEL", default="info") + + +@lru_cache +def get_settings() -> Settings: + return Settings() diff --git a/apps/app_docling_common/app_docling_common/db.py b/apps/app_docling_common/app_docling_common/db.py new file mode 100644 index 0000000..5ce487e --- /dev/null +++ b/apps/app_docling_common/app_docling_common/db.py @@ -0,0 +1,36 @@ +from collections.abc import Iterator +from contextlib import contextmanager + +from sqlalchemy import create_engine +from sqlalchemy.orm import Session, sessionmaker + +from app_docling_common.config import get_settings + + +def make_engine(): + return create_engine(get_settings().database_url, pool_pre_ping=True) + + +_engine = None +_SessionLocal: sessionmaker[Session] | None = None + + +def get_session_factory() -> sessionmaker[Session]: + global _engine, _SessionLocal + if _SessionLocal is None: + _engine = make_engine() + _SessionLocal = sessionmaker(bind=_engine, expire_on_commit=False) + return _SessionLocal + + +@contextmanager +def session_scope() -> Iterator[Session]: + session = get_session_factory()() + try: + yield session + session.commit() + except Exception: + session.rollback() + raise + finally: + session.close() diff --git a/apps/app_docling_common/app_docling_common/models.py b/apps/app_docling_common/app_docling_common/models.py new file mode 100644 index 0000000..47af616 --- /dev/null +++ b/apps/app_docling_common/app_docling_common/models.py @@ -0,0 +1,71 @@ +import enum +import uuid +from datetime import datetime + +from sqlalchemy import JSON, DateTime, Enum, Integer, String, func +from sqlalchemy.dialects.postgresql import UUID +from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column + + +class Base(DeclarativeBase): + pass + + +class JobStatus(str, enum.Enum): + queued = "queued" + processing = "processing" + done = "done" + failed = "failed" + + +class WebhookStatus(str, enum.Enum): + pending = "pending" + delivered = "delivered" + failed = "failed" + not_configured = "not_configured" + + +class Job(Base): + __tablename__ = "jobs" + + job_id: Mapped[uuid.UUID] = mapped_column( + UUID(as_uuid=True), primary_key=True, default=uuid.uuid4 + ) + # `status` previously carried index=True but pg_stat_user_indexes showed + # zero scans against it — the app only ever looks up jobs by PK. Removed + # in migration 0002. Re-add if a future feature filters/aggregates by status. + status: Mapped[JobStatus] = mapped_column( + Enum(JobStatus, name="job_status"), nullable=False + ) + input_key: Mapped[str] = mapped_column(String, nullable=False) + result_key: Mapped[str | None] = mapped_column(String, nullable=True) + output_format: Mapped[str] = mapped_column( + String, nullable=False, default="markdown" + ) + error: Mapped[str | None] = mapped_column(String, nullable=True) + options: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict) + + webhook_url: Mapped[str | None] = mapped_column(String, nullable=True) + webhook_status: Mapped[WebhookStatus] = mapped_column( + Enum(WebhookStatus, name="webhook_status"), + nullable=False, + default=WebhookStatus.not_configured, + ) + + attempts: Mapped[int] = mapped_column(Integer, nullable=False, default=0) + + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), nullable=False, server_default=func.now() + ) + updated_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + nullable=False, + server_default=func.now(), + onupdate=func.now(), + ) + started_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), nullable=True + ) + finished_at: Mapped[datetime | None] = mapped_column( + DateTime(timezone=True), nullable=True + ) diff --git a/apps/app_docling_common/app_docling_common/queue.py b/apps/app_docling_common/app_docling_common/queue.py new file mode 100644 index 0000000..4b74c43 --- /dev/null +++ b/apps/app_docling_common/app_docling_common/queue.py @@ -0,0 +1,4 @@ +"""Queue constants shared between api (enqueue) and worker (consume).""" + +QUEUE_NAME = "docling:jobs" +PARSE_TASK = "parse_document" diff --git a/apps/app_docling_common/app_docling_common/storage.py b/apps/app_docling_common/app_docling_common/storage.py new file mode 100644 index 0000000..a2cb912 --- /dev/null +++ b/apps/app_docling_common/app_docling_common/storage.py @@ -0,0 +1,52 @@ +from __future__ import annotations + +from typing import BinaryIO + +import boto3 +from botocore.client import Config + +from app_docling_common.config import get_settings + + +class ObjectStorage: + def __init__(self) -> None: + s = get_settings() + self.bucket = s.s3_bucket + self.presign_ttl = s.s3_presign_ttl + self._client = boto3.client( + "s3", + endpoint_url=s.s3_endpoint, + region_name=s.s3_region, + aws_access_key_id=s.s3_access_key, + aws_secret_access_key=s.s3_secret_key, + config=Config(signature_version="s3v4"), + ) + + def ensure_bucket(self) -> None: + existing = {b["Name"] for b in self._client.list_buckets().get("Buckets", [])} + if self.bucket not in existing: + self._client.create_bucket(Bucket=self.bucket) + + def upload_fileobj( + self, fileobj: BinaryIO, key: str, content_type: str | None = None + ) -> str: + extra = {"ContentType": content_type} if content_type else {} + self._client.upload_fileobj(fileobj, self.bucket, key, ExtraArgs=extra) + return key + + def upload_bytes( + self, data: bytes, key: str, content_type: str | None = None + ) -> str: + extra = {"ContentType": content_type} if content_type else {} + self._client.put_object(Bucket=self.bucket, Key=key, Body=data, **extra) + return key + + def download_to_path(self, key: str, path: str) -> None: + self._client.download_file(self.bucket, key, path) + + def presigned_get(self, key: str, ttl: int | None = None) -> str: + return self._client.generate_presigned_url( + "get_object", + Params={"Bucket": self.bucket, "Key": key}, + ExpiresIn=ttl or self.presign_ttl, + ) diff --git a/apps/app_docling_common/pyproject.toml b/apps/app_docling_common/pyproject.toml new file mode 100644 index 0000000..df72fa0 --- /dev/null +++ b/apps/app_docling_common/pyproject.toml @@ -0,0 +1,18 @@ +[project] +name = "app-docling-common" +version = "0.1.0" +description = "Shared docling models, config, db, queue, and storage helpers consumed by app_docling_api and app_docling_worker." +requires-python = "==3.12.8" +dependencies = [ + "pydantic>=2.7", + "pydantic-settings>=2.4", + "sqlalchemy>=2.0", + "boto3>=1.35", +] + +[build-system] +requires = ["setuptools>=61"] +build-backend = "setuptools.build_meta" + +[tool.setuptools] +packages = ["app_docling_common"] diff --git a/apps/app_docling_worker/Dockerfile b/apps/app_docling_worker/Dockerfile new file mode 100644 index 0000000..e46aae2 --- /dev/null +++ b/apps/app_docling_worker/Dockerfile @@ -0,0 +1,87 @@ +# ===================================================================== +# Builder — installs apt deps, builds venv with uv, warms docling models. +# Build context must be the stack-py repo root. +# ===================================================================== +FROM python:3.12-slim-bookworm AS builder + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + UV_LINK_MODE=copy \ + UV_COMPILE_BYTECODE=1 \ + HF_HOME=/opt/models/hf \ + DOCLING_ARTIFACTS_PATH=/opt/models/docling + +RUN apt-get update && apt-get install -y --no-install-recommends \ + libgl1 \ + libglib2.0-0 \ + poppler-utils \ + tesseract-ocr \ + tesseract-ocr-eng \ + tesseract-ocr-ind \ + ca-certificates \ + && rm -rf /var/lib/apt/lists/* + +COPY --from=ghcr.io/astral-sh/uv:0.5 /uv /usr/local/bin/uv + +WORKDIR /app + +COPY pyproject.toml uv.lock* ./ +COPY common/pyproject.toml common/pyproject.toml +COPY apps/app_docling_api/pyproject.toml apps/app_docling_api/pyproject.toml +COPY apps/app_docling_worker/pyproject.toml apps/app_docling_worker/pyproject.toml +COPY apps/app_docling_common/pyproject.toml apps/app_docling_common/pyproject.toml +COPY apps/app_admin/pyproject.toml apps/app_admin/pyproject.toml +COPY apps/app_sample/pyproject.toml apps/app_sample/pyproject.toml +COPY apps/app_nippon_rfq_matching/pyproject.toml apps/app_nippon_rfq_matching/pyproject.toml + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --no-dev --package app-docling-worker --no-install-project + +COPY common ./common +COPY apps/app_docling_common ./apps/app_docling_common +COPY apps/app_docling_worker ./apps/app_docling_worker + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --no-dev --package app-docling-worker + +# Pre-bake docling defaults + every OCR engine's model artifacts so containers +# start with zero network IO regardless of which engine the job selects. +RUN mkdir -p ${DOCLING_ARTIFACTS_PATH} \ + && /app/.venv/bin/python /app/apps/app_docling_worker/scripts/warmup_models.py + +# ===================================================================== +# Runtime — slim base with only runtime apt deps. +# ===================================================================== +FROM python:3.12-slim-bookworm AS runtime + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + OMP_NUM_THREADS=2 \ + MKL_NUM_THREADS=2 \ + HF_HOME=/opt/models/hf \ + DOCLING_ARTIFACTS_PATH=/opt/models/docling \ + PATH="/app/.venv/bin:$PATH" \ + EASYOCR_MODULE_PATH=/opt/models/easyocr + +RUN apt-get update && apt-get install -y --no-install-recommends \ + libgl1 \ + libglib2.0-0 \ + poppler-utils \ + tesseract-ocr \ + tesseract-ocr-eng \ + tesseract-ocr-ind \ + ca-certificates \ + && rm -rf /var/lib/apt/lists/* \ + && useradd --create-home --uid 1000 worker + +COPY --from=builder --chown=worker:worker /app /app +COPY --from=builder --chown=worker:worker /opt/models /opt/models +# A 16KB PDF containing a text layer + a 1-row table image. Used at startup +# to JIT the ONNX runtime ops and lazy-load the docling layout/tableformer +# models — recovers ~6s on the first real job per worker boot. +COPY --chown=worker:worker apps/app_docling_worker/warmup_sample.pdf /opt/models/warmup_sample.pdf + +USER worker +WORKDIR /app + +CMD ["arq", "apps.app_docling_worker.app.main.WorkerSettings"] diff --git a/apps/app_docling_worker/__init__.py b/apps/app_docling_worker/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_worker/app/__init__.py b/apps/app_docling_worker/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_worker/app/bench_arq_worker.py b/apps/app_docling_worker/app/bench_arq_worker.py new file mode 100644 index 0000000..2d821ba --- /dev/null +++ b/apps/app_docling_worker/app/bench_arq_worker.py @@ -0,0 +1,44 @@ +"""ARQ worker that exposes parse_pdf_bench on a dedicated benchmark queue. + +Listens on `bench_arq_docling` so it doesn't compete with the production +worker for jobs. Launched in the docling-worker container as: + + arq apps.app_docling_worker.app.bench_arq_worker.WorkerSettings +""" + +from __future__ import annotations + +from app_docling_common.config import get_settings +from arq.connections import RedisSettings + +from apps.app_docling_worker.app.bench_task import parse_pdf_bench +from apps.app_docling_worker.app.converter import warmup + + +async def parse_pdf( + ctx, input_key: str, output_format: str = "markdown", engine: str = "rapidocr" +) -> dict: + return parse_pdf_bench(input_key, output_format, engine) + + +async def startup(ctx) -> None: + import logging + + logging.basicConfig(level=logging.WARNING) + primary = get_settings().ocr_engine_primary + # Skip sample-PDF warmup here so the benchmark's first task captures the + # full cold-start cost identically to a freshly-booted celery worker. + warmup(primary, sample_pdf=None) + + +_settings = get_settings() + + +class WorkerSettings: + functions = [parse_pdf] + on_startup = startup + redis_settings = RedisSettings.from_dsn(_settings.redis_url) + queue_name = "bench_arq_docling" + max_jobs = 1 # match docling concurrency in production + keep_result = 300 + max_tries = 1 diff --git a/apps/app_docling_worker/app/bench_celery_worker.py b/apps/app_docling_worker/app/bench_celery_worker.py new file mode 100644 index 0000000..638528b --- /dev/null +++ b/apps/app_docling_worker/app/bench_celery_worker.py @@ -0,0 +1,40 @@ +"""Celery worker that exposes parse_pdf_bench on a dedicated benchmark queue. + +Mirrors `bench_arq_worker.py` so the cross-queue benchmark measures only the +queue dispatch layer. Launched in the docling-worker container as: + + celery -A apps.app_docling_worker.app.bench_celery_worker worker \ + -Q bench_celery_docling --concurrency=1 --pool=solo --loglevel=warning +""" + +from __future__ import annotations + +import os + +from app_docling_common.config import get_settings +from celery import Celery + +from apps.app_docling_worker.app.bench_task import parse_pdf_bench + +_settings = get_settings() + +app = Celery( + "docling_celery_bench", + broker=_settings.redis_url, + backend=_settings.redis_url, +) +app.conf.update( + task_default_queue="bench_celery_docling", + task_acks_late=False, + worker_prefetch_multiplier=1, + result_expires=300, + broker_connection_retry_on_startup=True, + worker_pool=os.environ.get("BENCH_CELERY_POOL", "solo"), +) + + +@app.task(name="bench.parse_pdf") +def parse_pdf( + input_key: str, output_format: str = "markdown", engine: str = "rapidocr" +) -> dict: + return parse_pdf_bench(input_key, output_format, engine) diff --git a/apps/app_docling_worker/app/bench_task.py b/apps/app_docling_worker/app/bench_task.py new file mode 100644 index 0000000..8d9dad9 --- /dev/null +++ b/apps/app_docling_worker/app/bench_task.py @@ -0,0 +1,65 @@ +"""Shared docling-parse logic for the cross-queue benchmark. + +Both the arq and celery bench workers wrap this function so the only thing +that differs between the two runs is the queue mechanics — task definition, +dispatch, result roundtrip. The OCR work, MinIO I/O, and PDF pipeline are +the same code path either way. + +The benchmark task does NOT touch the jobs table — it runs against MinIO +directly and returns per-stage timings as the task return value. +""" + +from __future__ import annotations + +import json +import os +import tempfile +import time +import uuid + +from app_docling_common.storage import ObjectStorage + +from apps.app_docling_worker.app.converter import get_converter + + +def parse_pdf_bench( + input_key: str, output_format: str = "markdown", engine: str = "rapidocr" +) -> dict: + """Download a PDF from MinIO, parse with docling, upload result. Return timings.""" + storage = ObjectStorage() + t0 = time.monotonic() + timings: dict[str, float] = {} + + with tempfile.TemporaryDirectory() as tmp: + local_path = os.path.join(tmp, os.path.basename(input_key)) + + t1 = time.monotonic() + storage.download_to_path(input_key, local_path) + timings["s3_download_ms"] = (time.monotonic() - t1) * 1000 + + t2 = time.monotonic() + converter = get_converter(engine) + document = converter.convert(local_path).document + timings["ocr_ms"] = (time.monotonic() - t2) * 1000 + + t3 = time.monotonic() + if output_format == "markdown": + body, ctype, ext = ( + document.export_to_markdown().encode(), + "text/markdown", + "md", + ) + elif output_format == "text": + body, ctype, ext = document.export_to_text().encode(), "text/plain", "txt" + else: + body = json.dumps(document.export_to_dict(), default=str).encode() + ctype, ext = "application/json", "json" + timings["serialize_ms"] = (time.monotonic() - t3) * 1000 + + t4 = time.monotonic() + result_key = f"results/bench/{uuid.uuid4()}/document.{ext}" + storage.upload_bytes(body, result_key, content_type=ctype) + timings["s3_upload_ms"] = (time.monotonic() - t4) * 1000 + + timings["total_ms"] = (time.monotonic() - t0) * 1000 + return timings diff --git a/apps/app_docling_worker/app/converter.py b/apps/app_docling_worker/app/converter.py new file mode 100644 index 0000000..8153ed7 --- /dev/null +++ b/apps/app_docling_worker/app/converter.py @@ -0,0 +1,77 @@ +"""OCR engine factory with lazy caching. + +We support multiple OCR backends via docling and expose them by name so callers +can pick per-job or per-deployment. Engines are loaded on demand and cached at +module scope — each engine carries its own model artifacts in memory, so we +avoid eager-loading every engine at startup. +""" + +from __future__ import annotations + +import logging +from typing import Literal + +from docling.datamodel.base_models import InputFormat +from docling.datamodel.pipeline_options import ( + EasyOcrOptions, + PdfPipelineOptions, + RapidOcrOptions, + TesseractCliOcrOptions, +) +from docling.document_converter import DocumentConverter, PdfFormatOption + +log = logging.getLogger(__name__) + +OcrEngine = Literal["rapidocr", "easyocr", "tesseract"] +SUPPORTED_ENGINES: tuple[OcrEngine, ...] = ("rapidocr", "easyocr", "tesseract") + +_converters: dict[str, DocumentConverter] = {} + + +def _build_ocr_options(engine: OcrEngine): + if engine == "rapidocr": + return RapidOcrOptions() + if engine == "easyocr": + # model_storage_directory matches the path the Dockerfile pre-bakes; + # EasyOCR otherwise defaults to ~/.EasyOCR and would download at runtime. + return EasyOcrOptions( + lang=["en", "id"], + model_storage_directory="/opt/models/easyocr", + ) + if engine == "tesseract": + return TesseractCliOcrOptions(lang=["eng", "ind"]) + raise ValueError(f"unsupported OCR engine: {engine}") + + +def get_converter(engine: OcrEngine) -> DocumentConverter: + if engine not in SUPPORTED_ENGINES: + raise ValueError(f"unsupported OCR engine: {engine}") + if engine not in _converters: + log.info("building docling converter for ocr_engine=%s", engine) + pipeline_options = PdfPipelineOptions() + pipeline_options.do_ocr = True + pipeline_options.do_table_structure = True + pipeline_options.ocr_options = _build_ocr_options(engine) + _converters[engine] = DocumentConverter( + format_options={ + InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options), + } + ) + log.info("converter ready for ocr_engine=%s", engine) + return _converters[engine] + + +def warmup(engine: OcrEngine, sample_pdf: str | None = None) -> None: + """Eagerly build a converter; optionally JIT it by running a sample doc. + + Building a `DocumentConverter` only constructs Python objects — the heavy + cost (loading layout + tableformer weights, JITing onnxruntime ops) is + deferred to the first real `convert()` call. Passing `sample_pdf` here + runs that first conversion at boot, so the first real job sees a warm + pipeline. Cost: ~6s of startup, recovered on the first job after boot. + """ + converter = get_converter(engine) + if sample_pdf: + log.info("warmup conversion: engine=%s sample=%s", engine, sample_pdf) + converter.convert(sample_pdf) + log.info("warmup conversion done: engine=%s", engine) diff --git a/apps/app_docling_worker/app/main.py b/apps/app_docling_worker/app/main.py new file mode 100644 index 0000000..36ab6c3 --- /dev/null +++ b/apps/app_docling_worker/app/main.py @@ -0,0 +1,49 @@ +from __future__ import annotations + +import logging +import os + +from app_docling_common.config import get_settings +from app_docling_common.queue import QUEUE_NAME +from app_docling_common.storage import ObjectStorage +from arq.connections import RedisSettings + +from apps.app_docling_worker.app.converter import warmup +from apps.app_docling_worker.app.tasks import parse_document + +# Sample PDF baked into the image by the Dockerfile. When present we run it +# through the converter at startup to absorb the ~6s ONNX JIT cost so the +# first real job is warm. Absent (e.g. in tests / dev shells without the +# baked artifact) we silently skip — falling back to lazy first-job warm-up. +_WARMUP_SAMPLE = "/opt/models/warmup_sample.pdf" + + +async def startup(ctx) -> None: + logging.basicConfig(level=logging.INFO) + ObjectStorage().ensure_bucket() + primary = get_settings().ocr_engine_primary + sample = _WARMUP_SAMPLE if os.path.exists(_WARMUP_SAMPLE) else None + warmup(primary, sample_pdf=sample) # fallback engines stay lazy + logging.getLogger(__name__).info( + "worker ready: primary ocr_engine=%s loaded sample_warm=%s", + primary, + bool(sample), + ) + + +async def shutdown(ctx) -> None: + pass + + +_settings = get_settings() + + +class WorkerSettings: + functions = [parse_document] + on_startup = startup + on_shutdown = shutdown + redis_settings = RedisSettings.from_dsn(_settings.redis_url) + queue_name = QUEUE_NAME + max_jobs = _settings.worker_concurrency + job_timeout = _settings.job_timeout_seconds + keep_result = 3600 diff --git a/apps/app_docling_worker/app/tasks.py b/apps/app_docling_worker/app/tasks.py new file mode 100644 index 0000000..10b4ca8 --- /dev/null +++ b/apps/app_docling_worker/app/tasks.py @@ -0,0 +1,169 @@ +from __future__ import annotations + +import json +import logging +import os +import tempfile +import time +import uuid +from datetime import UTC, datetime + +from app_docling_common.config import get_settings +from app_docling_common.db import session_scope +from app_docling_common.models import Job, JobStatus, WebhookStatus +from app_docling_common.storage import ObjectStorage + +from apps.app_docling_worker.app.converter import SUPPORTED_ENGINES, get_converter +from apps.app_docling_worker.app.webhook import deliver + +log = logging.getLogger(__name__) + + +def _result_payload(doc, output_format: str) -> tuple[bytes, str, str]: + if output_format == "markdown": + return doc.export_to_markdown().encode(), "text/markdown", "md" + if output_format == "text": + return doc.export_to_text().encode(), "text/plain", "txt" + return ( + json.dumps(doc.export_to_dict(), default=str).encode(), + "application/json", + "json", + ) + + +def _resolve_engines(job_engine: str | None) -> list[str]: + """Return engines to try in order. Job-level override skips fallback.""" + settings = get_settings() + if job_engine: + if job_engine not in SUPPORTED_ENGINES: + raise ValueError(f"unsupported ocr_engine: {job_engine}") + return [job_engine] + primary = settings.ocr_engine_primary + fallback = settings.ocr_engine_fallback or None + chain = [primary] + if fallback and fallback != primary: + chain.append(fallback) + return chain + + +def _convert(local_path: str, engines: list[str]) -> tuple[object, str, list[str]]: + """Try each engine in order; return (document, engine_used, errors).""" + errors: list[str] = [] + for engine in engines: + try: + converter = get_converter(engine) + result = converter.convert(local_path) + return result.document, engine, errors + except Exception as e: + msg = f"{engine}: {type(e).__name__}: {e}" + log.warning("ocr failed with %s", msg) + errors.append(msg) + raise RuntimeError("all OCR engines failed: " + " | ".join(errors)) + + +async def parse_document(ctx, job_id_str: str, callback_token: str | None) -> dict: + settings = get_settings() + storage = ObjectStorage() + job_id = uuid.UUID(job_id_str) + + # Per-stage timers — emitted as a single structured log at the end so a + # `grep stage_timings` over worker logs gives a parseable trace. + timings: dict[str, float] = {} + t0 = time.monotonic() + + with session_scope() as db: + job = db.get(Job, job_id) + if not job: + log.error("job %s missing in db", job_id) + return {"status": "missing"} + job.status = JobStatus.processing + job.started_at = datetime.now(UTC) + job.attempts += 1 + input_key = job.input_key + output_format = job.output_format + webhook_url = job.webhook_url + job_engine = (job.options or {}).get("ocr_engine") + timings["db_claim_ms"] = (time.monotonic() - t0) * 1000 + + error: str | None = None + result_key: str | None = None + final_status = JobStatus.failed + engine_used: str | None = None + + with tempfile.TemporaryDirectory() as tmp: + local_path = os.path.join(tmp, os.path.basename(input_key)) + try: + t1 = time.monotonic() + storage.download_to_path(input_key, local_path) + timings["s3_download_ms"] = (time.monotonic() - t1) * 1000 + timings["input_bytes"] = os.path.getsize(local_path) + + t2 = time.monotonic() + engines = _resolve_engines(job_engine) + document, engine_used, _attempt_errors = _convert(local_path, engines) + timings["ocr_ms"] = (time.monotonic() - t2) * 1000 + + t3 = time.monotonic() + body, content_type, ext = _result_payload(document, output_format) + timings["serialize_ms"] = (time.monotonic() - t3) * 1000 + timings["output_bytes"] = len(body) + + t4 = time.monotonic() + result_key = f"results/{job_id}/document.{ext}" + storage.upload_bytes(body, result_key, content_type=content_type) + timings["s3_upload_ms"] = (time.monotonic() - t4) * 1000 + + final_status = JobStatus.done + except Exception as e: + log.exception("parse failed for job %s", job_id) + error = f"{type(e).__name__}: {e}" + + t5 = time.monotonic() + with session_scope() as db: + job = db.get(Job, job_id) + if not job: + return {"status": "missing"} + job.status = final_status + job.result_key = result_key + job.error = error + job.finished_at = datetime.now(UTC) + if engine_used: + opts = dict(job.options or {}) + opts["ocr_engine_used"] = engine_used + job.options = opts + timings["db_finalize_ms"] = (time.monotonic() - t5) * 1000 + timings["total_ms"] = (time.monotonic() - t0) * 1000 + + log.info( + "stage_timings job=%s engine=%s %s", job_id, engine_used, json.dumps(timings) + ) + + if webhook_url: + payload = { + "job_id": str(job_id), + "status": final_status.value, + "output_format": output_format, + "ocr_engine_used": engine_used, + "result_url": (storage.presigned_get(result_key) if result_key else None), + "error": error, + "timestamp": datetime.now(UTC).isoformat(), + } + delivered = await deliver( + webhook_url, + payload, + callback_token, + max_retries=settings.webhook_max_retries, + ) + with session_scope() as db: + job = db.get(Job, job_id) + if job: + job.webhook_status = ( + WebhookStatus.delivered if delivered else WebhookStatus.failed + ) + + return { + "status": final_status.value, + "result_key": result_key, + "engine_used": engine_used, + "error": error, + } diff --git a/apps/app_docling_worker/app/version.py b/apps/app_docling_worker/app/version.py new file mode 100644 index 0000000..3dc1f76 --- /dev/null +++ b/apps/app_docling_worker/app/version.py @@ -0,0 +1 @@ +__version__ = "0.1.0" diff --git a/apps/app_docling_worker/app/webhook.py b/apps/app_docling_worker/app/webhook.py new file mode 100644 index 0000000..2f56700 --- /dev/null +++ b/apps/app_docling_worker/app/webhook.py @@ -0,0 +1,48 @@ +from __future__ import annotations + +import asyncio +import hashlib +import hmac +import json +import logging + +import httpx + +log = logging.getLogger(__name__) + + +def _sign(secret: str, body: bytes) -> str: + return hmac.new(secret.encode(), body, hashlib.sha256).hexdigest() + + +async def deliver( + url: str, + payload: dict, + secret: str | None, + max_retries: int = 3, + timeout: float = 10.0, +) -> bool: + body = json.dumps(payload, separators=(",", ":"), default=str).encode() + headers = {"Content-Type": "application/json"} + if secret: + headers["X-Docling-Signature"] = _sign(secret, body) + + backoff = 1.0 + async with httpx.AsyncClient(timeout=timeout) as client: + for attempt in range(1, max_retries + 1): + try: + resp = await client.post(url, content=body, headers=headers) + if 200 <= resp.status_code < 300: + return True + log.warning( + "webhook non-2xx attempt=%d status=%d url=%s", + attempt, + resp.status_code, + url, + ) + except httpx.HTTPError as e: + log.warning("webhook error attempt=%d url=%s err=%s", attempt, url, e) + if attempt < max_retries: + await asyncio.sleep(backoff) + backoff *= 2 + return False diff --git a/apps/app_docling_worker/pyproject.toml b/apps/app_docling_worker/pyproject.toml new file mode 100644 index 0000000..10684e2 --- /dev/null +++ b/apps/app_docling_worker/pyproject.toml @@ -0,0 +1,50 @@ +[project] +name = "app-docling-worker" +version = "0.1.0" +description = "Docling document parsing service — arq worker." +requires-python = "==3.12.8" +dependencies = [ + "docling>=2.7", + "arq>=0.26", + "httpx>=0.27", + "torch>=2.4,<2.11", + "torchvision>=0.19", + "rapidocr-onnxruntime>=1.3", + "easyocr>=1.7", + "onnxruntime>=1.16", + "sqlalchemy>=2.0", + "psycopg[binary]>=3.2", + "boto3>=1.35", + "redis>=5.0", + "pydantic>=2.7", + "pydantic-settings>=2.4", + "app-docling-common", +] + +[dependency-groups] +dev = [ + "pytest>=8", + "pytest-asyncio>=0.24", +] + +[[tool.uv.index]] +name = "pytorch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +[tool.uv] +package = false + +[tool.uv.sources] +app-docling-common = { workspace = true } +torch = { index = "pytorch-cpu" } +torchvision = { index = "pytorch-cpu" } + +[tool.pytest.ini_options] +asyncio_mode = "auto" +markers = [ + "integration: requires running docker-compose stack (auto-skipped if unreachable)", +] +filterwarnings = [ + "ignore::DeprecationWarning", +] diff --git a/apps/app_docling_worker/scripts/warmup_models.py b/apps/app_docling_worker/scripts/warmup_models.py new file mode 100644 index 0000000..179db57 --- /dev/null +++ b/apps/app_docling_worker/scripts/warmup_models.py @@ -0,0 +1,90 @@ +#!/usr/bin/env python +"""Build-time model warmup. Pre-downloads model artifacts for every supported +OCR engine into stable on-image paths so the runtime container starts offline. + +Output layout: + /opt/models/docling docling layout, tableformer, code/formula, easyocr + /opt/models/hf Hugging Face cache (HF_HOME) + /opt/models/easyocr EasyOCR model storage + rapidocr-onnxruntime ships models inside its Python wheel — no download +""" + +from __future__ import annotations + +import os +import sys +import traceback +from pathlib import Path + +MODELS_ROOT = Path("/opt/models") +DOCLING_DIR = MODELS_ROOT / "docling" +HF_DIR = MODELS_ROOT / "hf" +EASYOCR_DIR = MODELS_ROOT / "easyocr" + +for d in (DOCLING_DIR, HF_DIR, EASYOCR_DIR): + d.mkdir(parents=True, exist_ok=True) + +os.environ["HF_HOME"] = str(HF_DIR) +os.environ["HF_HUB_CACHE"] = str(HF_DIR) +os.environ["DOCLING_ARTIFACTS_PATH"] = str(DOCLING_DIR) + + +def _run(label: str, fn) -> bool: + print(f"\n=== warmup: {label} ===", flush=True) + try: + fn() + print(f"=== ok: {label} ===", flush=True) + return True + except Exception: + print(f"=== FAIL: {label} ===", flush=True) + traceback.print_exc() + return False + + +def warm_docling_minimal() -> None: + # Only bake what the docling pipeline actually needs for text + table OCR: + # layout detection, table structure, and easyocr (docling's default OCR). + # Skip code/formula recognition and picture classification — saves a few + # hundred MB of model weights and disk space during build. + from docling.utils.model_downloader import download_models + + download_models( + output_dir=DOCLING_DIR, + with_code_formula=False, + with_picture_classifier=False, + ) + + +def warm_rapidocr_onnx() -> None: + # The onnxruntime variant ships models inside the wheel; we just import to + # validate the package loads, then construct a Reader to surface any + # missing-asset errors immediately. + from rapidocr_onnxruntime import RapidOCR + + RapidOCR() + + +def main() -> int: + # We intentionally do NOT bake easyocr models here. EasyOCR is only ever + # used as a fallback (and rarely, since RapidOCR is primary). When that + # happens the worker will pull its models on first use into + # /opt/models/easyocr — slower first job, but smaller image. + results = [ + _run( + "docling minimal (layout + tableformer + easyocr core)", + warm_docling_minimal, + ), + _run("rapidocr onnx (bundled in wheel)", warm_rapidocr_onnx), + ] + if not all(results): + print( + "\nWARMUP FAILED — at least one engine could not pre-bake models", + flush=True, + ) + return 1 + print("\nAll required OCR models baked", flush=True) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/apps/app_docling_worker/tests/__init__.py b/apps/app_docling_worker/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/apps/app_docling_worker/tests/conftest.py b/apps/app_docling_worker/tests/conftest.py new file mode 100644 index 0000000..ceb4ef0 --- /dev/null +++ b/apps/app_docling_worker/tests/conftest.py @@ -0,0 +1,19 @@ +"""Worker test bootstrap. + +Set env defaults before any test imports `app_docling_common.config`, which +caches its settings via lru_cache at first instantiation. +""" + +from __future__ import annotations + +import os + +os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://test:test@localhost/test") +os.environ.setdefault("REDIS_URL", "redis://localhost:6379/15") +os.environ.setdefault("S3_ENDPOINT", "http://localhost:9000") +os.environ.setdefault("S3_ACCESS_KEY", "test") +os.environ.setdefault("S3_SECRET_KEY", "test") +os.environ.setdefault("S3_BUCKET", "docling-test") +os.environ.setdefault("OCR_ENGINE_PRIMARY", "rapidocr") +os.environ.setdefault("OCR_ENGINE_FALLBACK", "easyocr") +os.environ.setdefault("API_MAX_UPLOAD_MB", "100") diff --git a/apps/app_docling_worker/tests/test_resolve_engines.py b/apps/app_docling_worker/tests/test_resolve_engines.py new file mode 100644 index 0000000..b425705 --- /dev/null +++ b/apps/app_docling_worker/tests/test_resolve_engines.py @@ -0,0 +1,52 @@ +from __future__ import annotations + +import pytest +from app_docling_common.config import get_settings + +from apps.app_docling_worker.app.tasks import _resolve_engines + + +@pytest.fixture(autouse=True) +def _reset_settings_cache(): + # Settings is lru_cache'd, so env changes within a test don't apply unless + # we clear it. Reset before and after each test for isolation. + get_settings.cache_clear() + yield + get_settings.cache_clear() + + +def test_default_chain_uses_primary_and_fallback(monkeypatch): + monkeypatch.setenv("OCR_ENGINE_PRIMARY", "rapidocr") + monkeypatch.setenv("OCR_ENGINE_FALLBACK", "easyocr") + assert _resolve_engines(None) == ["rapidocr", "easyocr"] + + +def test_dedups_when_primary_equals_fallback(monkeypatch): + monkeypatch.setenv("OCR_ENGINE_PRIMARY", "rapidocr") + monkeypatch.setenv("OCR_ENGINE_FALLBACK", "rapidocr") + assert _resolve_engines(None) == ["rapidocr"] + + +def test_empty_fallback_means_primary_only(monkeypatch): + monkeypatch.setenv("OCR_ENGINE_PRIMARY", "rapidocr") + monkeypatch.setenv("OCR_ENGINE_FALLBACK", "") + assert _resolve_engines(None) == ["rapidocr"] + + +def test_job_override_skips_fallback(monkeypatch): + monkeypatch.setenv("OCR_ENGINE_PRIMARY", "rapidocr") + monkeypatch.setenv("OCR_ENGINE_FALLBACK", "easyocr") + # Caller chose tesseract — fallback chain is intentionally skipped because + # caller knows what they want. + assert _resolve_engines("tesseract") == ["tesseract"] + + +def test_job_override_to_primary_still_skips_fallback(monkeypatch): + monkeypatch.setenv("OCR_ENGINE_PRIMARY", "rapidocr") + monkeypatch.setenv("OCR_ENGINE_FALLBACK", "easyocr") + assert _resolve_engines("rapidocr") == ["rapidocr"] + + +def test_unsupported_override_raises(): + with pytest.raises(ValueError, match="unsupported ocr_engine"): + _resolve_engines("paddleocr") diff --git a/apps/app_docling_worker/tests/test_result_payload.py b/apps/app_docling_worker/tests/test_result_payload.py new file mode 100644 index 0000000..6040da6 --- /dev/null +++ b/apps/app_docling_worker/tests/test_result_payload.py @@ -0,0 +1,64 @@ +from __future__ import annotations + +import json +from datetime import UTC, datetime + +from apps.app_docling_worker.app.tasks import _result_payload + + +class _FakeDoc: + """Stand-in for a docling Document that records which exporter was called. + + We don't import the real DoclingDocument here because instantiating one + requires the full docling pipeline; for serialization-routing logic, only + the export_* method names matter. + """ + + def __init__(self, markdown="# title", text="title", as_dict=None): + self._markdown = markdown + self._text = text + self._dict = as_dict or {"name": "doc", "ts": datetime(2026, 1, 1, tzinfo=UTC)} + + def export_to_markdown(self): + return self._markdown + + def export_to_text(self): + return self._text + + def export_to_dict(self): + return self._dict + + +def test_markdown_format_returns_md_bytes(): + body, ctype, ext = _result_payload(_FakeDoc(markdown="# Hello"), "markdown") + assert body == b"# Hello" + assert ctype == "text/markdown" + assert ext == "md" + + +def test_text_format_returns_plain_bytes(): + body, ctype, ext = _result_payload(_FakeDoc(text="plain"), "text") + assert body == b"plain" + assert ctype == "text/plain" + assert ext == "txt" + + +def test_json_format_serializes_dict_with_datetime(): + # Datetimes coming from docling exports must not crash serialization — + # `default=str` is the fallback that keeps the worker resilient. + doc = _FakeDoc(as_dict={"created_at": datetime(2026, 1, 1, tzinfo=UTC), "id": 1}) + body, ctype, ext = _result_payload(doc, "json") + parsed = json.loads(body) + assert ctype == "application/json" + assert ext == "json" + assert parsed["id"] == 1 + assert "2026-01-01" in parsed["created_at"] + + +def test_unknown_format_falls_through_to_json(): + # The branch in `_result_payload` falls through to JSON for any unknown + # format; locking this behavior down prevents silent regressions. + body, ctype, ext = _result_payload(_FakeDoc(as_dict={"k": "v"}), "something-else") + assert ctype == "application/json" + assert ext == "json" + assert json.loads(body) == {"k": "v"} diff --git a/apps/app_docling_worker/tests/test_webhook.py b/apps/app_docling_worker/tests/test_webhook.py new file mode 100644 index 0000000..c393aaa --- /dev/null +++ b/apps/app_docling_worker/tests/test_webhook.py @@ -0,0 +1,180 @@ +from __future__ import annotations + +import hashlib +import hmac + +import httpx +import pytest + +from apps.app_docling_worker.app.webhook import _sign, deliver + + +def test_sign_is_deterministic(): + sig1 = _sign("secret", b'{"a":1}') + sig2 = _sign("secret", b'{"a":1}') + assert sig1 == sig2 + + +def test_sign_matches_hmac_sha256(): + body = b'{"job_id":"abc"}' + expected = hmac.new(b"my-secret", body, hashlib.sha256).hexdigest() + assert _sign("my-secret", body) == expected + + +def test_sign_changes_with_secret(): + body = b"payload" + assert _sign("s1", body) != _sign("s2", body) + + +def test_sign_changes_with_body(): + secret = "k" + assert _sign(secret, b"a") != _sign(secret, b"b") + + +async def test_deliver_returns_true_on_2xx(): + captured: dict[str, object] = {} + + def handler(request: httpx.Request) -> httpx.Response: + captured["url"] = str(request.url) + captured["headers"] = dict(request.headers) + captured["body"] = request.content + return httpx.Response(204) + + transport = httpx.MockTransport(handler) + # MockTransport bypasses the network — monkey-patch httpx.AsyncClient to + # use it for the duration of the call. + original = httpx.AsyncClient.__init__ + + def patched_init(self, *args, **kwargs): + kwargs["transport"] = transport + original(self, *args, **kwargs) + + httpx.AsyncClient.__init__ = patched_init + try: + ok = await deliver( + "https://hook.example.com/x", + {"job_id": "abc", "status": "done"}, + secret="topsecret", + max_retries=1, + ) + finally: + httpx.AsyncClient.__init__ = original + + assert ok is True + assert captured["url"] == "https://hook.example.com/x" + # Signature header must be present when a secret is supplied. + assert "x-docling-signature" in {k.lower() for k in captured["headers"]} + + +async def test_deliver_omits_signature_when_no_secret(): + captured: dict[str, object] = {} + + def handler(request: httpx.Request) -> httpx.Response: + captured["headers"] = {k.lower(): v for k, v in request.headers.items()} + return httpx.Response(200) + + transport = httpx.MockTransport(handler) + original = httpx.AsyncClient.__init__ + + def patched_init(self, *args, **kwargs): + kwargs["transport"] = transport + original(self, *args, **kwargs) + + httpx.AsyncClient.__init__ = patched_init + try: + ok = await deliver( + "https://hook.example.com/x", {"k": "v"}, secret=None, max_retries=1 + ) + finally: + httpx.AsyncClient.__init__ = original + + assert ok is True + assert "x-docling-signature" not in captured["headers"] + + +async def test_deliver_retries_then_fails_on_persistent_5xx(monkeypatch): + # Speed up the retry loop — actual backoff would make this test take >7s. + async def _no_sleep(_s): + return None + + monkeypatch.setattr("apps.app_docling_worker.app.webhook.asyncio.sleep", _no_sleep) + + calls = {"n": 0} + + def handler(request: httpx.Request) -> httpx.Response: + calls["n"] += 1 + return httpx.Response(503) + + transport = httpx.MockTransport(handler) + original = httpx.AsyncClient.__init__ + + def patched_init(self, *args, **kwargs): + kwargs["transport"] = transport + original(self, *args, **kwargs) + + httpx.AsyncClient.__init__ = patched_init + try: + ok = await deliver( + "https://hook.example.com/x", {"k": "v"}, secret=None, max_retries=3 + ) + finally: + httpx.AsyncClient.__init__ = original + + assert ok is False + assert calls["n"] == 3 + + +async def test_deliver_recovers_after_transient_failure(monkeypatch): + async def _no_sleep(_s): + return None + + monkeypatch.setattr("apps.app_docling_worker.app.webhook.asyncio.sleep", _no_sleep) + + seq: list[int] = [] + + def handler(request: httpx.Request) -> httpx.Response: + seq.append(1) + if len(seq) < 3: + return httpx.Response(502) + return httpx.Response(200) + + transport = httpx.MockTransport(handler) + original = httpx.AsyncClient.__init__ + + def patched_init(self, *args, **kwargs): + kwargs["transport"] = transport + original(self, *args, **kwargs) + + httpx.AsyncClient.__init__ = patched_init + try: + ok = await deliver( + "https://hook.example.com/x", {"k": "v"}, secret=None, max_retries=5 + ) + finally: + httpx.AsyncClient.__init__ = original + + assert ok is True + assert len(seq) == 3 + + +@pytest.mark.parametrize("status_code", [200, 201, 204, 299]) +async def test_deliver_treats_any_2xx_as_success(status_code): + def handler(request: httpx.Request) -> httpx.Response: + return httpx.Response(status_code) + + transport = httpx.MockTransport(handler) + original = httpx.AsyncClient.__init__ + + def patched_init(self, *args, **kwargs): + kwargs["transport"] = transport + original(self, *args, **kwargs) + + httpx.AsyncClient.__init__ = patched_init + try: + ok = await deliver( + "https://hook.example.com/x", {"k": "v"}, secret=None, max_retries=1 + ) + finally: + httpx.AsyncClient.__init__ = original + + assert ok is True diff --git a/apps/app_docling_worker/warmup_sample.pdf b/apps/app_docling_worker/warmup_sample.pdf new file mode 100644 index 0000000..d7f6082 Binary files /dev/null and b/apps/app_docling_worker/warmup_sample.pdf differ diff --git a/apps/app_nippon_rfq_matching/app/core/config.py b/apps/app_nippon_rfq_matching/app/core/config.py index 85619a1..40d1d35 100644 --- a/apps/app_nippon_rfq_matching/app/core/config.py +++ b/apps/app_nippon_rfq_matching/app/core/config.py @@ -1,14 +1,22 @@ +import os from dataclasses import dataclass, field from pathlib import Path from common.python.config import ( env_bool, - env_float, env_int, env_str, get_environment, ) + +def env_float(name: str, default: float) -> float: + value = os.getenv(name) + if value is None: + return default + return float(value) + + # Anchor default data paths to the app's own folder (apps/app_nippon_rfq_matching/) # so behavior is stable regardless of where the process is launched from. # __file__ = .../apps/app_nippon_rfq_matching/app/core/config.py → parents[2] = app root. diff --git a/apps/app_nippon_rfq_matching/pyproject.toml b/apps/app_nippon_rfq_matching/pyproject.toml index 32c6865..8e33d4b 100644 --- a/apps/app_nippon_rfq_matching/pyproject.toml +++ b/apps/app_nippon_rfq_matching/pyproject.toml @@ -4,157 +4,158 @@ version = "0.1.0" description = "Nippon RFQ matching service." requires-python = "==3.12.8" dependencies = [ - "aiosqlite>=0.20.0", - "annotated-doc>=0.0.4", - "annotated-types>=0.7.0", - "antlr4-python3-runtime>=4.9.3", - "anyio>=4.12.1", - "asttokens>=3.0.1", - "attrs>=25.4.0", - "beautifulsoup4>=4.14.3", - "certifi>=2026.2.25", - "cffi>=2.0.0", - "chardet>=7.2.0", - "charset-normalizer>=3.4.6", - "click>=8.3.1", - "colorlog>=6.10.1", - "comm>=0.2.3", - "cryptography>=46.0.5", - "debugpy>=1.8.20", - "decorator>=5.2.1", - "deepsearch-glm>=1.0.0", - "defusedxml>=0.7.1", - "dill>=0.4.1", - "distro>=1.9.0", - "et-xmlfile>=2.0.0", - "executing>=2.2.1", - "faiss-cpu>=1.13.2", - "faker>=40.11.0", - "fastapi>=0.115.12", - "filelock>=3.25.2", - "filetype>=1.2.0", - "fsspec>=2026.2.0", - "h11>=0.16.0", - "hf-xet>=1.4.2", - "httpcore>=1.0.9", - "httptools>=0.7.1", - "httpx>=0.28.1", - "idna>=3.11", - "imageio>=2.37.3", - "ipykernel>=7.2.0", - "ipython>=9.11.0", - "ipython-pygments-lexers>=1.1.1", - "jedi>=0.19.2", - "jinja2>=3.1.6", - "jiter>=0.13.0", - "joblib>=1.5.3", - "jsonlines>=3.1.0", - "jsonref>=1.1.0", - "jsonschema>=4.26.0", - "jsonschema-specifications>=2025.9.1", - "jupyter-client>=8.8.0", - "jupyter-core>=5.9.1", - "latex2mathml>=3.79.0", - "lazy-loader>=0.5", - "lxml>=5.4.0", - "markdown-it-py>=4.0.0", - "marko>=2.2.2", - "markupsafe>=3.0.3", - "matplotlib-inline>=0.2.1", - "mdurl>=0.1.2", - "mpire>=2.10.2", - "mpmath>=1.3.0", - "multiprocess>=0.70.19", - "nest-asyncio>=1.6.0", - "networkx>=3.6.1", - "ninja>=1.13.0", - "numpy>=2.2.0", - "omegaconf>=2.3.0", - "openai>=2.29.0", - "openpyxl>=3.1.5", - "packaging>=26.0", - "pandas>=3.0.1", - "parso>=0.8.6", - "pdfminer-six>=20251230", - "pdfplumber>=0.11.9", - "pexpect>=4.9.0", - "pillow>=10.4.0", - "platformdirs>=4.9.4", - "pluggy>=1.6.0", - "polyfactory>=3.3.0", - "prompt-toolkit>=3.0.52", - "psutil>=7.2.2", - "ptyprocess>=0.7.0", - "pure-eval>=0.2.3", - "pyclipper>=1.4.0", - "pycparser>=3.0", - "pydantic>=2.12.5", - "pydantic-core>=2.41.5", - "pydantic-settings>=2.13.1", - "pygments>=2.19.2", - "pylatexenc>=2.10", - "pypdfium2>=4.30.0", - "python-bidi>=0.6.7", - "python-dateutil>=2.9.0.post0", - "python-docx>=1.2.0", - "python-dotenv>=1.0.1", - "python-multipart>=0.0.12", - "python-pptx>=1.0.2", - "pytz>=2026.1.post1", - "pyyaml>=6.0.3", - "pyzmq>=27.1.0", - "rapidfuzz>=3.14.3", - "referencing>=0.37.0", - "regex>=2026.2.28", - "reportlab>=4.2.0", - "requests>=2.32.5", - "rich>=14.3.3", - "rpds-py>=0.30.0", - "rtree>=1.4.1", - "safetensors>=0.7.0", - "scikit-learn>=1.8.0", - "scipy>=1.17.1", - "semchunk>=3.2.5", - "shapely>=2.1.2", - "shellingham>=1.5.4", - "six>=1.17.0", - "sniffio>=1.3.1", - "soupsieve>=2.8.3", - "sqlalchemy>=2.0.36", - "stack-data>=0.6.3", - "sympy>=1.14.0", - "tabulate>=0.10.0", - "threadpoolctl>=3.6.0", - "tifffile>=2026.3.3", - "tokenizers>=0.22.2", - "tornado>=6.5.5", - "tqdm>=4.67.3", - "traitlets>=5.14.3", - "tree-sitter>=0.25.2", - "tree-sitter-c>=0.24.1", - "tree-sitter-javascript>=0.25.0", - "tree-sitter-python>=0.25.0", - "tree-sitter-typescript>=0.23.2", - "typer>=0.21.2", - "typing-extensions>=4.15.0", - "typing-inspection>=0.4.2", - "tzdata>=2025.3", - "urllib3>=2.6.3", - "uvicorn[standard]>=0.32.0", - "uvloop>=0.22.1", - "watchfiles>=1.1.1", - "wcwidth>=0.6.0", - "websockets>=16.0", - "xlsxwriter>=3.2.9", + "aiosqlite==0.20.0", + "annotated-doc==0.0.4", + "annotated-types==0.7.0", + "antlr4-python3-runtime==4.9.3", + "anyio==4.12.1", + "asttokens==3.0.1", + "attrs==25.4.0", + "beautifulsoup4==4.14.3", + "certifi==2026.2.25", + "cffi==2.0.0", + "chardet==7.2.0", + "charset-normalizer==3.4.6", + "click==8.3.1", + "colorlog==6.10.1", + "comm==0.2.3", + "cryptography==46.0.5", + "debugpy==1.8.20", + "decorator==5.2.1", + "deepsearch-glm==1.0.0", + "defusedxml==0.7.1", + "dill==0.4.1", + "distro==1.9.0", + "et-xmlfile==2.0.0", + "executing==2.2.1", + "faiss-cpu==1.13.2", + "faker==40.11.0", + "fastapi==0.135.1", + "filelock==3.25.2", + "filetype==1.2.0", + "fsspec==2026.2.0", + "h11==0.16.0", + "hf-xet==1.4.2", + "httpcore==1.0.9", + "httptools==0.7.1", + "httpx==0.28.1", + "idna==3.11", + "imageio==2.37.3", + "ipykernel==7.2.0", + "ipython==9.11.0", + "ipython-pygments-lexers==1.1.1", + "jedi==0.19.2", + "jinja2==3.1.6", + "jiter==0.13.0", + "joblib==1.5.3", + "jsonlines==3.1.0", + "jsonref==1.1.0", + "jsonschema==4.26.0", + "jsonschema-specifications==2025.9.1", + "jupyter-client==8.8.0", + "jupyter-core==5.9.1", + "latex2mathml==3.79.0", + "lazy-loader==0.5", + "lxml==5.4.0", + "markdown-it-py==4.0.0", + "marko==2.2.2", + "markupsafe==3.0.3", + "matplotlib-inline==0.2.1", + "mdurl==0.1.2", + "mpire==2.10.2", + "mpmath==1.3.0", + "multiprocess==0.70.19", + "nest-asyncio==1.6.0", + "networkx==3.6.1", + "ninja==1.13.0", + "numpy==2.2.0", + "omegaconf==2.3.0", + "openai==2.29.0", + "openpyxl==3.1.5", + "packaging==26.0", + "pandas==3.0.1", + "parso==0.8.6", + "pdfminer-six==20251230", + "pdfplumber==0.11.9", + "pexpect==4.9.0", + "pillow==10.4.0", + "platformdirs==4.9.4", + "pluggy==1.6.0", + "polyfactory==3.3.0", + "prompt-toolkit==3.0.52", + "psutil==7.2.2", + "ptyprocess==0.7.0", + "pure-eval==0.2.3", + "pyclipper==1.4.0", + "pycparser==3.0", + "pydantic==2.12.5", + "pydantic-core==2.41.5", + "pydantic-settings==2.13.1", + "pygments==2.19.2", + "pylatexenc==2.10", + "pypdfium2==4.30.0", + "python-bidi==0.6.7", + "python-dateutil==2.9.0.post0", + "python-docx==1.2.0", + "python-dotenv==1.0.1", + "python-multipart==0.0.12", + "python-pptx==1.0.2", + "pytz==2026.1.post1", + "pyyaml==6.0.3", + "pyzmq==27.1.0", + "rapidfuzz==3.14.3", + "referencing==0.37.0", + "regex==2026.2.28", + "reportlab==4.2.0", + "requests==2.32.5", + "rich==14.3.3", + "rpds-py==0.30.0", + "rtree==1.4.1", + "safetensors==0.7.0", + "scikit-learn==1.8.0", + "scipy==1.17.1", + "semchunk==3.2.5", + "shapely==2.1.2", + "shellingham==1.5.4", + "six==1.17.0", + "sniffio==1.3.1", + "soupsieve==2.8.3", + "sqlalchemy==2.0.36", + "stack-data==0.6.3", + "starlette==0.52.1", + "sympy==1.14.0", + "tabulate==0.10.0", + "threadpoolctl==3.6.0", + "tifffile==2026.3.3", + "tokenizers==0.22.2", + "tornado==6.5.5", + "tqdm==4.67.3", + "traitlets==5.14.3", + "tree-sitter==0.25.2", + "tree-sitter-c==0.24.1", + "tree-sitter-javascript==0.25.0", + "tree-sitter-python==0.25.0", + "tree-sitter-typescript==0.23.2", + "typer==0.21.2", + "typing-extensions==4.15.0", + "typing-inspection==0.4.2", + "tzdata==2025.3", + "urllib3==2.6.3", + "uvicorn==0.32.0", + "uvloop==0.22.1", + "watchfiles==1.1.1", + "wcwidth==0.6.0", + "websockets==16.0", + "xlsxwriter==3.2.9", # Linux/non-macOS only - "weasyprint>=68.1 ; sys_platform != 'darwin'", + "weasyprint==68.1 ; sys_platform != 'darwin'", # macOS-only platform bindings - "appnope>=0.1.4 ; sys_platform == 'darwin'", - "pyobjc-core>=12.1 ; sys_platform == 'darwin'", - "pyobjc-framework-cocoa>=12.1 ; sys_platform == 'darwin'", - "pyobjc-framework-coreml>=12.1 ; sys_platform == 'darwin'", - "pyobjc-framework-quartz>=12.1 ; sys_platform == 'darwin'", - "pyobjc-framework-vision>=12.1 ; sys_platform == 'darwin'", + "appnope==0.1.4 ; sys_platform == 'darwin'", + "pyobjc-core==12.1 ; sys_platform == 'darwin'", + "pyobjc-framework-cocoa==12.1 ; sys_platform == 'darwin'", + "pyobjc-framework-coreml==12.1 ; sys_platform == 'darwin'", + "pyobjc-framework-quartz==12.1 ; sys_platform == 'darwin'", + "pyobjc-framework-vision==12.1 ; sys_platform == 'darwin'", # Workspace dep "common-python", ] diff --git a/apps/app_nippon_rfq_matching/requirements-macos.txt b/apps/app_nippon_rfq_matching/requirements-macos.txt new file mode 100644 index 0000000..0bc6361 --- /dev/null +++ b/apps/app_nippon_rfq_matching/requirements-macos.txt @@ -0,0 +1,151 @@ +aiosqlite==0.20.0 +annotated-doc==0.0.4 +annotated-types==0.7.0 +antlr4-python3-runtime==4.9.3 +anyio==4.12.1 +appnope==0.1.4 +asttokens==3.0.1 +attrs==25.4.0 +beautifulsoup4==4.14.3 +certifi==2026.2.25 +cffi==2.0.0 +chardet==7.2.0 +charset-normalizer==3.4.6 +click==8.3.1 +colorlog==6.10.1 +comm==0.2.3 +cryptography==46.0.5 +debugpy==1.8.20 +decorator==5.2.1 +deepsearch-glm==1.0.0 +defusedxml==0.7.1 +dill==0.4.1 +distro==1.9.0 +et-xmlfile==2.0.0 +executing==2.2.1 +faiss-cpu==1.13.2 +faker==40.11.0 +fastapi==0.135.1 +filelock==3.25.2 +filetype==1.2.0 +fsspec==2026.2.0 +h11==0.16.0 +hf-xet==1.4.2 +httpcore==1.0.9 +httptools==0.7.1 +httpx==0.28.1 +idna==3.11 +imageio==2.37.3 +ipykernel==7.2.0 +ipython==9.11.0 +ipython-pygments-lexers==1.1.1 +jedi==0.19.2 +jinja2==3.1.6 +jiter==0.13.0 +joblib==1.5.3 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