name: AI Code Review
run-name: AI Code Review by @${{ github.actor }} 🤖

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  ai-review:
    runs-on: ubuntu-22.04
    steps:
      - name: Checkout code
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Get PR diff
        id: diff
        run: |
          # Get the diff for the PR
          git fetch origin ${{ github.base_ref }}
          DIFF=$(git diff origin/${{ github.base_ref }}...HEAD)
          echo "diff<<EOF" >> $GITHUB_OUTPUT
          echo "$DIFF" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

      - name: AI Code Review
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          # Or use ANTHROPIC_API_KEY for Claude
          # ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
        run: |
          # Install dependencies
          pip install openai requests
          
          # Create review script
          cat > review.py << 'EOF'
          import os
          import openai
          import requests
          import json
          
          # Configure OpenAI client (or use Anthropic client for Claude)
          client = openai.OpenAI(api_key=os.environ['OPENAI_API_KEY'])
          
          # Get diff from environment
          diff = """${{ steps.diff.outputs.diff }}"""
          
          if not diff.strip():
              print("No changes to review")
              exit(0)
          
          # Create review prompt
          prompt = f"""
          Please review this code diff and provide constructive feedback:
          
          {diff}
          
          Focus on:
          - Code quality and best practices
          - Potential bugs or security issues
          - Performance considerations
          - Maintainability and readability
          - Ruby on Rails specific patterns
          
          Provide your review as structured feedback with specific line references where possible.
          """
          
          try:
              response = client.chat.completions.create(
                  model="gpt-4",  # or "claude-3-sonnet" for Claude
                  messages=[{"role": "user", "content": prompt}],
                  max_tokens=2000
              )
              
              review = response.choices[0].message.content
              print("AI Code Review:")
              print("=" * 50)
              print(review)
              
              # Post review as PR comment (requires additional API setup)
              # This would need Gitea API integration
              
          except Exception as e:
              print(f"Error during review: {e}")
          EOF
          
          python review.py

      - name: Comment on PR
        if: always()
        run: |
          echo "Review completed - implement Gitea API integration to post comments"