MemoryBear/.github/workflows/release-notify-wechat.yml

name: Release Notify Workflow

on:
  pull_request:
    types: [closed]

jobs:
  notify:
    if: >
      github.event.pull_request.merged == true &&
      startsWith(github.event.pull_request.base.ref, 'release')
    runs-on: ubuntu-latest

    steps:
      # 防止 GitHub HEAD 未同步
      - run: sleep 3

      # 1️⃣ 获取分支 HEAD
      - name: Get HEAD
        id: head
        run: |
          HEAD_SHA=$(curl -s \
            -H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
            https://api.github.com/repos/${{ github.repository }}/git/ref/heads/${{ github.event.pull_request.base.ref }} \
            | jq -r '.object.sha')
          echo "head_sha=$HEAD_SHA" >> $GITHUB_OUTPUT

      # 2️⃣ 判断是否最终PR
      - name: Check Latest
        id: check
        run: |
          if [ "${{ github.event.pull_request.merge_commit_sha }}" = "${{ steps.head.outputs.head_sha }}" ]; then
            echo "ok=true" >> $GITHUB_OUTPUT
          else
            echo "ok=false" >> $GITHUB_OUTPUT
          fi

      # 3️⃣ 获取 commits
      - name: Get Commits
        if: steps.check.outputs.ok == 'true'
        id: commits
        run: |
          curl -s \
            -H "Authorization: Bearer ${{ secrets.GITHUB_TOKEN }}" \
            ${{ github.event.pull_request.commits_url }} \
            | jq -r '.[].commit.message' | head -n 20 > commits.txt

      # 4️⃣ 阿里 AI 总结（通义千问）
      - name: AI Summary (Qwen)
        if: steps.check.outputs.ok == 'true'
        id: ai
        env:
          DASHSCOPE_API_KEY: ${{ secrets.DASHSCOPE_API_KEY }}
        run: |
          python3 << 'PYEOF'
          import json, os, urllib.request

          with open("commits.txt", "r") as f:
            commits = f.read().strip()

          prompt = "请用中文总结以下代码提交，输出3-5条要点，面向测试人员。直接输出编号列表，不要输出标题或前言：\n" + commits
          payload = {"model": "qwen-plus", "input": {"prompt": prompt}}
          data = json.dumps(payload, ensure_ascii=False).encode("utf-8")

          req = urllib.request.Request(
            "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation",
            data=data,
            headers={
              "Authorization": "Bearer " + os.environ["DASHSCOPE_API_KEY"],
              "Content-Type": "application/json"
            }
          )
          resp = urllib.request.urlopen(req)
          result = json.loads(resp.read().decode())
          summary = result.get("output", {}).get("text", "AI 摘要生成失败")
          print(summary)

          with open("ai_summary.txt", "w", encoding="utf-8") as f:
            f.write(summary)
          PYEOF

          SUMMARY=$(cat ai_summary.txt)
          echo "summary<<EOF" >> $GITHUB_OUTPUT
          echo "$SUMMARY" >> $GITHUB_OUTPUT
          echo "EOF" >> $GITHUB_OUTPUT

      # 5️⃣ 企业微信通知（Markdown）
      - name: Notify WeChat
        if: steps.check.outputs.ok == 'true'
        env:
          WECHAT_WEBHOOK: ${{ secrets.WECHAT_WEBHOOK }}
          BRANCH: ${{ github.event.pull_request.base.ref }}
          AUTHOR: ${{ github.event.pull_request.user.login }}
          PR_TITLE: ${{ github.event.pull_request.title }}
          PR_URL: ${{ github.event.pull_request.html_url }}
          AI_SUMMARY: ${{ steps.ai.outputs.summary }}
        run: |
          python3 << 'PYEOF'
          import json, os, urllib.request
          content = (
            "## 🚀 Release 发布通知\n"
            "> 📦 **分支**: " + os.environ["BRANCH"] + "\n"
            "> 👤 **提交人**: " + os.environ["AUTHOR"] + "\n"
            "> 📝 **标题**: " + os.environ["PR_TITLE"] + "\n\n"
            "### 🧠 AI变更摘要\n" +
            os.environ["AI_SUMMARY"] + "\n\n"
            "---\n"
            "🔗 [查看PR详情](" + os.environ["PR_URL"] + ")"
          )
          payload = {"msgtype": "markdown", "markdown": {"content": content}}
          data = json.dumps(payload, ensure_ascii=False).encode("utf-8")
          req = urllib.request.Request(
            os.environ["WECHAT_WEBHOOK"],
            data=data,
            headers={"Content-Type": "application/json"}
          )
          resp = urllib.request.urlopen(req)
          print(resp.read().decode())
          PYEOF