Codex与CI/CD集成：AI驱动的持续交付流水线

开发者提交PR
    │
    ▼
┌──────────────┐     ┌──────────────┐
│  GitHub/GitLab│────▶│  触发器        │
│  Webhook     │     │  (事件路由)    │
└──────────────┘     └──────┬───────┘
                            │
                   ┌────────▼────────┐
                   │  Codex智能体     │
                   │  (语义分析层)    │
                   └────────┬────────┘
                            │
              ┌─────────────┼─────────────┐
              ▼             ▼             ▼
        ┌─────────┐  ┌──────────┐  ┌──────────┐
        │ 测试生成  │  │ 风险评估   │  │ 审查路由  │
        └────┬────┘  └─────┬────┘  └─────┬────┘
             │             │              │
             ▼             ▼              ▼
        ┌─────────┐  ┌──────────┐  ┌──────────┐
        │ 运行测试  │  │ 决策门禁   │  │ 人工/自动 │
        └────┬────┘  └─────┬────┘  └──────────┘
             │             │
             └──────┬──────┘
                    ▼
              ┌───────────┐
              │  部署决策   │
              └───────────┘

# Codex语义分析模块
class SemanticChangeAnalyzer:
    def __init__(self, codex_client):
        self.codex = codex_client
        
    async def analyze(self, diff, commit_message, pr_description):
        prompt = f"""
        分析以下代码变更的语义特征：
        
        Commit: {commit_message}
        PR描述: {pr_description}
        Diff: {diff[:5000]}
        
        请返回JSON格式：
        - change_type: [feature|bugfix|refactor|config|docs|test|security]
        - risk_level: [low|medium|high|critical]
        - affected_areas: [list]
        - suggested_checks: [list]
        - needs_security_review: bool
        - needs_performance_review: bool
        """
        
        analysis = await self.codex.complete(prompt)
        return self.parse(analysis)

# 在CI流水线中使用
analyzer = SemanticChangeAnalyzer(codex_client)
analysis = await analyzer.analyze(pr.diff, pr.title, pr.body)

# 根据语义分析结果动态调整流水线
if analysis.risk_level == "critical":
    pipeline.add_stage("security_scan", required=True)
    pipeline.add_stage("load_test", required=True)
    pipeline.require_reviewers(2)
elif analysis.change_type == "docs":
    pipeline.skip_stage("unit_tests")  # 文档变更跳过测试
    pipeline.auto_approve = True

# 基于diff自动生成测试用例
class AutoTestGenerator:
    def __init__(self, codex_client):
        self.codex = codex_client
        
    async def generate_tests(self, changed_files, existing_tests):
        tests = []
        for file in changed_files:
            # 分析代码路径和边界条件
            test_prompt = self.build_test_prompt(
                source=file.content,
                existing=existing_tests[file.path],
                framework=file.test_framework
            )
            
            generated = await self.codex.complete(test_prompt)
            
            # 验证生成的测试能通过
            if await self.validate_test(generated, file):
                tests.append(generated)
            else:
                # 自我修正
                fixed = await self.fix_test(generated, file)
                tests.append(fixed)
        
        return tests
    
    async def validate_test(self, test_code, source_file):
        """运行生成的测试，确保能编译且通过"""
        result = await sandbox.run_test(test_code, source_file)
        return result.passed and not result.has_errors

# 部署前风险评估
class DeploymentRiskAssessor:
    async def assess(self, pr, test_results, metrics):
        risk_factors = {
            "test_coverage_delta": self.calc_coverage_delta(pr),
            "complexity_change": self.calc_complexity_delta(pr),
            "dependency_changes": self.get_dependency_changes(pr),
            "historical_failure_rate": self.get_historical_rate(pr.author),
            "time_since_last_deploy": self.time_since_last(),
            "current_error_rate": metrics.current_error_rate,
        }
        
        # Codex综合评估
        assessment = await self.codex.analyze(
            factors=risk_factors,
            test_results=test_results,
            context="评估此次PR合并到生产的整体风险"
        )
        
        return {
            "risk_score": assessment.score,  # 0-100
            "recommendation": assessment.recommendation,  # auto/hold/manual
            "concerns": assessment.concerns,
            "mitigations": assessment.mitigations,
        }

# .github/workflows/codex-ci.yml
name: Codex-Enhanced CI
on:
  pull_request:
    types: [opened, synchronize, ready_for_review]

jobs:
  semantic-analysis:
    runs-on: ubuntu-latest
    outputs:
      change_type: ${{ steps.analyze.outputs.change_type }}
      risk_level: ${{ steps.analyze.outputs.risk_level }}
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0
          
      - name: Codex语义分析
        id: analyze
        uses: codex-ai/analyze-action@v2
        with:
          api-key: ${{ secrets.CODEX_API_KEY }}
          mode: semantic
          output-format: json
          
      - name: 路由决策
        run: |
          echo "变更类型: ${{ steps.analyze.outputs.change_type }}"
          echo "风险等级: ${{ steps.analyze.outputs.risk_level }}"
          
  smart-tests:
    needs: semantic-analysis
    runs-on: ubuntu-latest
    if: needs.semantic-analysis.outputs.change_type != 'docs'
    steps:
      - uses: actions/checkout@v4
      
      - name: 运行现有测试
        run: npm test -- --coverage
        
      - name: Codex补充测试
        uses: codex-ai/test-gen-action@v2
        with:
          api-key: ${{ secrets.CODEX_API_KEY }}
          diff-only: true
          min-coverage: 80
          
      - name: 运行AI生成测试
        run: npm test -- --grep "@codex-generated"
        
  risk-gate:
    needs: [semantic-analysis, smart-tests]
    runs-on: ubuntu-latest
    if: needs.semantic-analysis.outputs.risk_level == 'high'
    steps:
      - name: 部署风险评估
        uses: codex-ai/risk-assess-action@v2
        with:
          api-key: ${{ secrets.CODEX_API_KEY }}
          block-on: critical
          notify: ${{ secrets.DEV_LEAD_SLACK }}