AI 编程工作流自动化：5 个实战场景帮你省出 2 小时

# .github/workflows/pr-description.yml
name: Auto PR Description

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  generate-description:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Generate PR description
        run: |
          # 获取变更文件列表
          files=$(git diff --name-only ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }})
          
          # 获取变更内容
          diff=$(git diff ${{ github.event.pull_request.base.sha }} ${{ github.event.pull_request.head.sha }})
          
          # 调用AI生成描述
          description=$(curl -s -X POST https://api.openai.com/v1/chat/completions \
            -H "Authorization: Bearer ${{ secrets.OPENAI_API_KEY }}" \
            -H "Content-Type: application/json" \
            -d "{
              \"model\": \"gpt-4\",
              \"messages\": [{
                \"role\": \"user\",
                \"content\": \"请根据以下代码变更，生成PR描述（中文）：\\n\\n$diff\"
              }]
            }" | jq -r '.choices[0].message.content')
          
          # 更新PR描述
          gh pr edit ${{ github.event.pull_request.number }} --body "$description"

# 使用GitHub Copilot或自定义Agent
def review_code(diff):
    """
    AI代码审查Agent
    """
    review_prompt = f"""
    请审查以下代码变更，指出：
    1. 潜在的安全漏洞
    2. 性能问题
    3. 代码风格问题
    4. 逻辑错误
    
    变更内容：
    {diff}
    
    请以JSON格式返回审查结果。
    """
    
    # 调用AI API
    response = call_ai_api(review_prompt)
    return parse_review_result(response)

# .github/workflows/code-review.yml
name: AI Code Review

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: AI Code Review
        env:
          AI_API_KEY: ${{ secrets.AI_API_KEY }}
        run: python scripts/ai_review.py
      - name: Post Review Comments
        run: |
          # 将审查结果作为评论添加到PR
          gh pr comment ${{ github.event.pull_request.number }} \
            --body-file review-result.md

# 使用AI生成测试用例
def generate_tests(file_path):
    """
    AI测试生成Agent
    """
    # 读取代码
    with open(file_path, 'r') as f:
        code = f.read()
    
    # 生成测试提示词
    prompt = f"""
    请为以下代码生成单元测试，要求：
    1. 覆盖所有边界条件
    2. 包含异常场景
    3. 使用pytest框架
    4. 输出完整测试文件
    
    代码：
    {code}
    """
    
    # 调用AI生成测试
    test_code = call_ai_api(prompt)
    return test_code

# 使用示例
test_code = generate_tests('src/payment.py')
with open('tests/test_payment.py', 'w') as f:
    f.write(test_code)

# 从代码注释生成文档
def generate_docs(file_path):
    """
    AI文档生成Agent
    """
    with open(file_path, 'r') as f:
        code = f.read()
    
    prompt = f"""
    请为以下Python代码生成README文档，包含：
    1. 功能说明
    2. 安装步骤
    3. 使用示例
    4. API参考
    
    代码：
    {code}
    """
    
    docs = call_ai_api(prompt)
    return docs

# 自动化流程：代码提交后自动更新文档
# 监听git push事件，触发文档生成

name: Auto Generate Docs

on:
  push:
    branches: [main]
    paths:
      - 'src/**'

jobs:
  generate-docs:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Generate Documentation
        run: python scripts/auto_docs.py
      - name: Commit Changes
        run: |
          git config user.name "AI Bot"
          git config user.email "bot@example.com"
          git add docs/
          git commit -m "docs: auto-generate documentation" || echo "No changes"
          git push

# AI Issue 分类Agent
def classify_issue(title, body):
    """
    自动分类Issue
    """
    prompt = f"""
    请对以下Issue进行分类：
    
    标题：{title}
    内容：{body}
    
    分类选项：
    - bug：程序错误
    - feature：新功能请求
    - docs：文档相关
    - question：使用问题
    - other：其他
    
    请输出JSON格式：
    {{
      "category": "分类结果",
      "priority": "高/中/低",
      "suggestion": "初步处理建议"
    }}
    """
    
    result = call_ai_api(prompt)
    return parse_json(result)

# 自动回复模板
reply_templates = {
    "bug": "感谢反馈！请提供复现步骤和环境信息...",
    "feature": "已记录，我们会评估优先级...",
    "question": "这是常见的使用问题，请参考文档..."
}

# .github/workflows/ai-automation.yml
name: AI Programming Workflow

on:
  push:
    branches: [main, develop]
  pull_request:
    types: [opened, synchronize]
  issues:
    types: [opened]

jobs:
  # 1. 自动生成PR描述
  auto-pr-description:
    if: github.event_name == 'pull_request'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Generate PR Description
        run: python scripts/auto_pr_desc.py

  # 2. AI代码审查
  ai-review:
    if: github.event_name == 'pull_request'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: AI Code Review
        run: python scripts/ai_review.py

  # 3. 生成测试用例
  generate-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Generate Tests
        run: python scripts/auto_tests.py
      - name: Run Tests
        run: pytest tests/

  # 4. 自动回复Issue
  auto-reply-issues:
    if: github.event_name == 'issues'
    runs-on: ubuntu-latest
    steps:
      - name: Classify and Reply
        run: python scripts/auto_issue_reply.py