用 Claude Code Routines 把编码流程跑成自动任务

# .claude/routines.yaml
routines:
  daily-health-check:
    description: "每天自动跑测试、扫描依赖漏洞、输出摘要报告"
    trigger:
      schedule: "0 9 * * 1-5"   # 工作日早上9点（cron 格式）
      api: true                  # 允许通过 API 手动触发
    steps:
      - name: run-tests
        prompt: |
          运行项目全部测试（使用 pytest），收集失败用例列表。
          如果全部通过，输出 "All tests passed"。
          如果有失败，列出每个失败用例的文件路径、测试名和错误摘要。
        tool_policy:
          allow: [Bash, Read]     # 只允许执行命令和读文件
          deny: [Write, Edit]     # 不允许改代码——这是检查，不是修复

      - name: scan-dependencies
        prompt: |
          用 pip-audit 或 npm audit 扫描项目依赖的安全漏洞。
          输出漏洞等级、受影响包名、建议修复版本。
        tool_policy:
          allow: [Bash, Read]
          deny: [Write, Edit]

      - name: generate-report
        prompt: |
          把前两步的结果合并成一份 Markdown 摘要报告，
          包含：测试结果、漏洞扫描结果、建议操作项。
          将报告写入 .claude/reports/daily-health-{date}.md
        tool_policy:
          allow: [Bash, Read, Write]
          deny: [Edit]            # 可以新建文件，但不改已有源码

    output:
      format: markdown
      notify:
        slack_channel: "#dev-health"

# 在项目目录下，用 Claude Code CLI 注册 Routine
claude routine register --file .claude/routines.yaml

# 查看已注册的 Routine 列表
claude routine list

# 手动触发一次（测试配置是否正确）
claude routine run daily-health-check

# .github/workflows/deploy.yml（追加步骤）
name: Deploy
on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Deploy application
        run: ./deploy.sh
      - name: Trigger Claude Code health check
        env:
          CLAUDE_API_KEY: ${{ secrets.CLAUDE_API_KEY }}
        run: |
          curl -X POST "https://api.anthropic.com/v1/routines/run" \
            -H "Authorization: Bearer $CLAUDE_API_KEY" \
            -H "Content-Type: application/json" \
            -d '{"routine_name": "daily-health-check", "context": {"trigger": "post-deploy", "commit": "${{ github.sha }}"}}'

# webhook_handler.py — 接收 Sentry 告警，触发 Claude Code 排查 Routine
from flask import Flask, request
import requests, os

app = Flask(__name__)
CLAUDE_API_KEY = os.environ["CLAUDE_API_KEY"]

@app.route("/sentry-alert", methods=["POST"])
def handle_sentry_alert():
    alert = request.json
    # 从告警中提取关键信息
    project = alert.get("project", "unknown")
    error_title = alert.get("title", "unknown error")
    environment = alert.get("environment", "production")

    # 触发 Claude Code 的 incident-diagnosis Routine
    resp = requests.post(
        "https://api.anthropic.com/v1/routines/run",
        headers={
            "Authorization": f"Bearer {CLAUDE_API_KEY}",
            "Content-Type": "application/json",
        },
        json={
            "routine_name": "incident-diagnosis",
            "context": {
                "trigger": "sentry-alert",
                "project": project,
                "error_title": error_title,
                "environment": environment,
            },
        },
        timeout=30,
    )
    return {"status": "triggered", "routine_run_id": resp.json().get("run_id")}, 200

if __name__ == "__main__":
    app.run(port=5000)

# 本地测试 webhook 处理
pip install flask requests
python webhook_handler.py
# 然后用 curl 模拟 Sentry 推送
curl -X POST http://localhost:5000/sentry-alert \
  -H "Content-Type: application/json" \
  -d '{"project":"my-api","title":"NullPointer in UserService","environment":"production"}'