spec-to-code.yml

name: Generate Code from Spec

on:
  issues:
    types: [labeled]

jobs:
  trigger-claude-code:
    # Only run when "approved" label is added
    if: github.event.label.name == 'approved'
    runs-on: ubuntu-latest
    permissions:
      issues: write

    steps:
      - name: Extract spec ID from issue
        id: extract_spec
        env:
          ISSUE_BODY: ${{ github.event.issue.body }}
          ISSUE_TITLE: ${{ github.event.issue.title }}
        run: |
          # Try to extract spec ID from title (format: "scatter-basic-001: Title" or just "scatter-basic-001")
          # Case-insensitive, allows 3-4 digits, converts to lowercase
          SPEC_ID=$(echo "$ISSUE_TITLE" | grep -oiP '^[a-z]+-[a-z]+-\d{3,4}' | tr '[:upper:]' '[:lower:]' || echo "")

          if [ -z "$SPEC_ID" ]; then
            # Try to find spec ID in body (look for markdown heading like "# scatter-basic-001:")
            SPEC_ID=$(echo "$ISSUE_BODY" | grep -oiP '^#\s*\K[a-z]+-[a-z]+-\d{3,4}' | tr '[:upper:]' '[:lower:]' || echo "")
          fi

          if [ -z "$SPEC_ID" ]; then
            echo "❌ Could not extract spec ID from issue"
            echo "Expected format: {type}-{variant}-{001-9999}"
            exit 1
          fi

          # Validate spec file exists
          if [ ! -f "specs/${SPEC_ID}.md" ]; then
            echo "⚠️  Warning: Spec file specs/${SPEC_ID}.md does not exist"
            echo "Please ensure the spec file is created before code generation"
          fi

          echo "spec_id=$SPEC_ID" >> $GITHUB_OUTPUT
          echo "✅ Extracted spec ID: $SPEC_ID"

      - name: Trigger Claude Code with @claude comment
        uses: actions/github-script@v7
        with:
          script: |
            const specId = '${{ steps.extract_spec.outputs.spec_id }}';

            await github.rest.issues.createComment({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: context.issue.number,
              body: `@claude

            ## 🎯 Task: Generate Plot Implementations

            This issue has been approved! Please generate implementations for **${specId}**.

            ### Instructions

            1. **Read the specification**
               - File: \`specs/${specId}.md\`
               - If file doesn't exist, create it from the issue body

            2. **Read generation rules**
               - \`rules/generation/v1.0.0-draft/code-generation-rules.md\`
               - \`rules/generation/v1.0.0-draft/quality-criteria.md\`
               - \`rules/generation/v1.0.0-draft/self-review-checklist.md\`

            3. **Generate matplotlib implementation**
               - Target: \`plots/matplotlib/scatter/${specId}/default.py\`
               - Follow generation rules exactly
               - Implement all spec requirements
               - Use type hints, docstrings, validation
               - Add standalone execution block (\`if __name__ == '__main__':\`)
               - Self-review: Max 3 attempts to pass quality criteria

            4. **Generate seaborn implementation**
               - Target: \`plots/seaborn/scatterplot/${specId}/default.py\`
               - Same requirements as matplotlib

            5. **Create Pull Request**
               - Branch: \`auto/${specId}\`
               - Title: \`feat: implement ${specId}\`
               - Include summary of generation results
               - Link to this issue

            ### Requirements
            - Each implementation must pass self-review before moving to next
            - Use deterministic sample data (fixed seeds or hardcoded data)
            - Code must work standalone (no external files)
            - Follow Python 3.10+ syntax
            - Commit with clear messages

            ### Expected Outcome
            - PR created with matplotlib and seaborn implementations
            - Both pass self-review
            - Tests will run automatically on PR

            Please proceed with the generation!`
            });