test-reporting.yml

name: Test Reporting

on:
  workflow_run:
    workflows: ["Test Data Generation", "Parallel Testing"]
    types: [completed]

jobs:
  report:
    runs-on: ubuntu-latest
    if: github.event.workflow_run.conclusion == 'success'

    steps:
    - uses: actions/checkout@v3

    - name: Download test data
      uses: actions/download-artifact@v3
      with:
        name: test-data
        path: test-data

    - name: Download test results
      uses: actions/download-artifact@v3
      with:
        name: test-results
        path: test-results

    - name: Install reporting tools
      run: |
        pip install pandas matplotlib seaborn jinja2

    - name: Generate test report
      run: |
        python -c """
        import json
        import pandas as pd
        import matplotlib.pyplot as plt
        import seaborn as sns
        from datetime import datetime

        # テストデータの読み込み
        with open('test-data/test-data-summary.json') as f:
            test_data = json.load(f)

        # テスト結果の読み込み
        results = []
        for file in os.listdir('test-results'):
            if file.endswith('.json'):
                with open(f'test-results/{file}') as f:
                    results.append(json.load(f))

        # データフレームの作成
        df = pd.DataFrame(results)

        # データの分析
        summary = {
            'total_tests': len(df),
            'passed_tests': len(df[df['status'] == 'passed']),
            'failed_tests': len(df[df['status'] == 'failed']),
            'test_coverage': df['coverage'].mean(),
            'execution_time': df['execution_time'].sum(),
            'generation_date': datetime.now().isoformat()
        }

        # グラフの生成
        plt.figure(figsize=(12, 6))
        sns.barplot(x='test_type', y='execution_time', data=df)
        plt.title('Test Execution Time by Type')
        plt.savefig('test-results/execution_time.png')

        # レポートの生成
        with open('test-report.md', 'w') as f:
            f.write("# Test Report\n\n")
            f.write(f"Generated on: {summary['generation_date']}\n\n")
            f.write("## Summary\n\n")
            f.write(f"- Total Tests: {summary['total_tests']}\n")
            f.write(f"- Passed: {summary['passed_tests']}\n")
            f.write(f"- Failed: {summary['failed_tests']}\n")
            f.write(f"- Average Coverage: {summary['test_coverage']:.2f}%\n")
            f.write(f"- Total Execution Time: {summary['execution_time']:.2f}s\n\n")
            f.write("![](execution_time.png)")
        """

    - name: Generate coverage report
      run: |
        python -c """
        import json
        from datetime import datetime

        # カバレッジデータの読み込み
        with open('test-results/coverage.xml') as f:
            coverage_data = json.load(f)

        # カバレッジレポートの生成
        with open('coverage-report.md', 'w') as f:
            f.write("# Coverage Report\n\n")
            f.write(f"Generated on: {datetime.now().isoformat()}\n\n")
            f.write("## Coverage Summary\n\n")
            f.write(f"- Total Coverage: {coverage_data['total_coverage']:.2f}%\n")
            f.write("\n## Coverage Details\n\n")
            for file, data in coverage_data['files'].items():
                f.write(f"### {file}\n")
                f.write(f"- Statements: {data['statements']}\n")
                f.write(f"- Missed: {data['missed']}\n")
                f.write(f"- Coverage: {data['coverage']:.2f}%\n")
        """

    - name: Generate performance metrics
      run: |
        python -c """
        import json
        from datetime import datetime

        # パフォーマンスメトリクスの読み込み
        with open('test-results/performance_metrics.json') as f:
            metrics = json.load(f)

        # パフォーマンスレポートの生成
        with open('performance-report.md', 'w') as f:
            f.write("# Performance Report\n\n")
            f.write(f"Generated on: {datetime.now().isoformat()}\n\n")
            f.write("## Performance Metrics\n\n")
            for metric, value in metrics.items():
                f.write(f"- {metric}: {value}\n")
        """

    - name: Create GitHub PR comment
      uses: actions/github-script@v6
      with:
        github-token: ${{ secrets.GITHUB_TOKEN }}
        script: |
          const fs = require('fs');
          const testReport = fs.readFileSync('test-report.md', 'utf8');
          const coverageReport = fs.readFileSync('coverage-report.md', 'utf8');
          const performanceReport = fs.readFileSync('performance-report.md', 'utf8');
          const prNumber = context.payload.pull_request?.number;

          if (prNumber) {
            await github.rest.issues.createComment({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: prNumber,
              body: `# Test Results Summary\n\n${testReport}\n\n## Coverage Details\n\n${coverageReport}\n\n## Performance Metrics\n\n${performanceReport}`
            });
          }