duoqi-api/.gitea/workflows/deploy.yml

# Gitea Actions CI/CD 配置
# Duoqi API - 双分支工作流（develop → main）
#
# 工作流：
#   develop push  → quality → test → build → 自动部署测试环境
#   main push     → quality → test → build → 手动确认部署生产环境

name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]

env:
  DEPLOY_DIR: /opt/duoqi-api

jobs:
  # ==================== 代码质量检查 ====================
  quality:
    name: Code Quality
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Setup Bun
        uses: oven-sh/setup-bun@v2

      - name: Install dependencies
        run: bun install --frozen-lockfile

      - name: Run ESLint
        run: bun run lint

      - name: Type check
        run: bun run typecheck

  # ==================== 运行测试 ====================
  test:
    name: Unit Tests
    runs-on: ubuntu-latest
    needs: quality
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Setup Bun
        uses: oven-sh/setup-bun@v2

      - name: Install dependencies
        run: bun install --frozen-lockfile

      - name: Run tests with coverage
        run: bun run test:coverage

      - name: Upload coverage
        uses: actions/upload-artifact@v4
        with:
          name: coverage-report
          path: coverage/

  # ==================== 构建测试镜像 ====================
  build-test:
    name: Build Test Image
    runs-on: ubuntu-latest
    needs: [quality, test]
    if: github.ref == 'refs/heads/develop'
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Build test image
        run: |
          docker build --build-arg NODE_ENV=test -t duoqi-api:test .
          mkdir -p /tmp/images
          docker save duoqi-api:test -o /tmp/images/duoqi-api-test.tar          

      - name: Upload image artifact
        uses: actions/upload-artifact@v4
        with:
          name: docker-images-test
          path: /tmp/images/
          retention-days: 1

  # ==================== 构建生产镜像 ====================
  build-prod:
    name: Build Production Image
    runs-on: ubuntu-latest
    needs: [quality, test]
    if: github.ref == 'refs/heads/main'
    steps:
      - name: Checkout code
        uses: actions/checkout@v4

      - name: Build production image
        run: |
          docker build -t duoqi-api:prod .
          mkdir -p /tmp/images
          docker save duoqi-api:prod -o /tmp/images/duoqi-api-prod.tar          

      - name: Upload image artifact
        uses: actions/upload-artifact@v4
        with:
          name: docker-images-prod
          path: /tmp/images/
          retention-days: 1

  # ==================== 部署到测试环境（develop push 自动触发） ====================
  deploy-test:
    name: Deploy to Test
    runs-on: ubuntu-latest
    needs: build-test
    if: github.ref == 'refs/heads/develop'
    environment:
      name: test
      url: http://test-api.duoqi.me
    steps:
      - name: Download image artifact
        uses: actions/download-artifact@v4
        with:
          name: docker-images-test
          path: /tmp/images/

      - name: Load Docker image
        run: docker load -i /tmp/images/duoqi-api-test.tar

      - name: Deploy test environment
        run: |
          cd ${{ env.DEPLOY_DIR }}
          docker compose --profile test up -d --no-build api-test          

      - name: Health check
        run: |
          sleep 10
          for i in {1..5}; do
            if curl -f http://localhost:3001/health; then
              echo "Test environment is healthy!"
              exit 0
            fi
            echo "Health check attempt $i failed, retrying..."
            sleep 5
          done
          echo "Test environment health check failed"
          exit 1          

  # ==================== 部署到生产环境（main push，手动确认） ====================
  deploy-prod:
    name: Deploy to Production
    runs-on: ubuntu-latest
    needs: build-prod
    if: github.ref == 'refs/heads/main'
    environment:
      name: production
      url: https://api.duoqi.me
    steps:
      - name: Download image artifact
        uses: actions/download-artifact@v4
        with:
          name: docker-images-prod
          path: /tmp/images/

      - name: Load Docker image
        run: docker load -i /tmp/images/duoqi-api-prod.tar

      - name: Deploy production
        run: |
          cd ${{ env.DEPLOY_DIR }}

          # 备份当前镜像（用于回滚）
          docker tag duoqi-api:prod duoqi-api:rollback 2>/dev/null || true

          # 滚动更新
          docker compose up -d --no-build api-prod          

      - name: Health check
        run: |
          sleep 15
          for i in {1..5}; do
            if curl -f http://localhost:3000/health; then
              echo "Production deployment successful!"
              exit 0
            fi
            echo "Health check attempt $i failed, retrying..."
            sleep 5
          done

          # 健康检查失败，自动回滚
          echo "Health check failed! Rolling back..."
          cd ${{ env.DEPLOY_DIR }}
          docker tag duoqi-api:rollback duoqi-api:prod
          docker compose up -d --no-build api-prod
          exit 1          

      - name: Cleanup
        if: always()
        run: |
          docker image prune -f
          rm -rf /tmp/images