fix(ci): cast workflow_dispatch inputs for reusable review calls

[Mehdi-Bl]

Summary

• cast workflow_dispatch inputs before passing them into reusable workflow_call inputs
• apply casts to pr_number, force_review, and max_parallel
• keep typed manual dispatch UI while avoiding startup workflow-file failures

Why

Manual review dispatch runs were failing before jobs started due strict type handling between workflow_dispatch inputs and reusable workflow workflow_call input types.

Validation

• actionlint on updated wrapper workflows
• diagnostic runs confirmed jobs start once casts are applied

Summary by Sourcery

CI:

• Adjust manual review GitHub Actions workflows to cast workflow_dispatch inputs (PR number, force_review, max_parallel) before passing them to reusable workflow_call inputs.

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Note

Gemini is unable to generate a summary for this pull request due to the file types involved not being currently supported.

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Review Summary by Qodo

Cast manual dispatch inputs for reusable workflow compatibility

🐞 Bug fix

Walkthroughs

Description

• Cast workflow_dispatch inputs to proper types before passing to reusable workflows
• Apply type casting to pr_number, force_review, and max_parallel parameters
• Prevents workflow startup failures due to type mismatches between manual dispatch and reusable
  workflow calls

Diagram

flowchart LR
  A["workflow_dispatch inputs<br/>string types"] -- "fromJSON + format<br/>casting" --> B["reusable workflow_call<br/>typed inputs"]
  C["pr_number"] --> A
  D["force_review"] --> A
  E["max_parallel"] --> A

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File Changes

1. .github/workflows/claude-review-manual.yml 🐞 Bug fix +2/-2

Add type casting for manual dispatch inputs

• Cast pr_number input using fromJSON(format('{0}', inputs.pr_number))
• Cast force_review input using fromJSON(format('{0}', inputs.force_review))
• Ensures type compatibility with reusable workflow call parameters

.github/workflows/claude-review-manual.yml

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2. .github/workflows/opencode-review-manual.yml 🐞 Bug fix +3/-3

Add type casting for all manual dispatch inputs

• Cast pr_number input using fromJSON(format('{0}', inputs.pr_number))
• Cast force_review input using fromJSON(format('{0}', inputs.force_review))
• Cast max_parallel input using fromJSON(format('{0}', inputs.max_parallel))
• Resolves type mismatch issues between workflow_dispatch and workflow_call

.github/workflows/opencode-review-manual.yml

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[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Casts workflow_dispatch string inputs to their expected typed values before passing them to reusable review workflows, resolving type mismatches while preserving the existing manual dispatch UI.

Sequence diagram for manual review workflow_dispatch input casting

sequenceDiagram
  actor Developer
  participant GitHubActions
  participant OpencodeReviewManualWorkflow
  participant ReusableOpencodeReviewWorkflow

  Developer->>GitHubActions: Trigger opencode-review-manual workflow_dispatch
  GitHubActions->>OpencodeReviewManualWorkflow: Start workflow with inputs.pr_number, inputs.force_review, inputs.max_parallel (strings)
  OpencodeReviewManualWorkflow->>OpencodeReviewManualWorkflow: pr_number_cast = fromJSON(format('{0}', inputs.pr_number))
  OpencodeReviewManualWorkflow->>OpencodeReviewManualWorkflow: force_review_cast = fromJSON(format('{0}', inputs.force_review))
  OpencodeReviewManualWorkflow->>OpencodeReviewManualWorkflow: max_parallel_cast = fromJSON(format('{0}', inputs.max_parallel))
  OpencodeReviewManualWorkflow->>ReusableOpencodeReviewWorkflow: workflow_call with pr_number_cast, force_review_cast, max_parallel_cast
  ReusableOpencodeReviewWorkflow-->>OpencodeReviewManualWorkflow: Jobs start successfully with typed inputs
  OpencodeReviewManualWorkflow-->>GitHubActions: Report job status
  GitHubActions-->>Developer: Display successful run with started jobs

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Sequence diagram for manual Claude review workflow_dispatch input casting

sequenceDiagram
  actor Developer
  participant GitHubActions
  participant ClaudeReviewManualWorkflow
  participant ReusableClaudeReviewWorkflow

  Developer->>GitHubActions: Trigger claude-review-manual workflow_dispatch
  GitHubActions->>ClaudeReviewManualWorkflow: Start workflow with inputs.pr_number, inputs.force_review (strings)
  ClaudeReviewManualWorkflow->>ClaudeReviewManualWorkflow: pr_number_cast = fromJSON(format('{0}', inputs.pr_number))
  ClaudeReviewManualWorkflow->>ClaudeReviewManualWorkflow: force_review_cast = fromJSON(format('{0}', inputs.force_review))
  ClaudeReviewManualWorkflow->>ReusableClaudeReviewWorkflow: workflow_call with pr_number_cast, force_review_cast
  ReusableClaudeReviewWorkflow-->>ClaudeReviewManualWorkflow: Jobs start successfully with typed inputs
  ClaudeReviewManualWorkflow-->>GitHubActions: Report job status
  GitHubActions-->>Developer: Display successful run with started jobs

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File-Level Changes

Change	Details	Files
Cast manual dispatch inputs to correctly typed values for reusable review workflows to avoid type errors at startup.	Wrap pr_number workflow_dispatch input in fromJSON(format('{0}', ...)) when passing into the reusable opencode review workflow Wrap force_review workflow_dispatch input in fromJSON(format('{0}', ...)) when passing into the reusable opencode review workflow Wrap max_parallel workflow_dispatch input in fromJSON(format('{0}', ...)) when passing into the reusable opencode review workflow Apply the same fromJSON(format('{0}', ...)) casting pattern to pr_number and force_review in the manual Claude review workflow, matching the reusable workflow_call input types	.github/workflows/opencode-review-manual.yml .github/workflows/claude-review-manual.yml

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[sourcery-ai]

Hey - I've left some high level feedback:

• Using fromJSON(format('{0}', ...)) is a good way to coerce types, but make sure the corresponding workflow_dispatch inputs are marked required: true or have safe defaults, since fromJSON('') or fromJSON(undefined) will hard-fail at runtime.
• The casting pattern for pr_number, force_review, and max_parallel is duplicated across the manual workflows; consider extracting this into a single reusable wrapper or aligning both workflows on a shared template to reduce drift and future maintenance overhead.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- Using `fromJSON(format('{0}', ...))` is a good way to coerce types, but make sure the corresponding `workflow_dispatch` inputs are marked `required: true` or have safe defaults, since `fromJSON('')` or `fromJSON(undefined)` will hard-fail at runtime.
- The casting pattern for `pr_number`, `force_review`, and `max_parallel` is duplicated across the manual workflows; consider extracting this into a single reusable wrapper or aligning both workflows on a shared template to reduce drift and future maintenance overhead.

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