kind: pipeline
type: docker
name: ai-flow-backend-prod-deploy

steps:
  # 步骤1: 将代码同步到远程服务器
  - name: sync-code
    image: appleboy/drone-scp
    settings:
      host:
        from_secret: PROD_HOST
      username:
        from_secret: PROD_USER
      key:
        from_secret: PROD_SSH_KEY
      port: 22
      target: /data/ai_flow_backend-prod/source
      source:
        - .
      rm_target: true
      strip_components: 0

  # 步骤2: SSH到远程服务器执行构建和单实例部署
  - name: build-and-deploy
    image: appleboy/drone-ssh
    settings:
      host:
        from_secret: PROD_HOST
      username:
        from_secret: PROD_USER
      key:
        from_secret: PROD_SSH_KEY
      port: 22
      command_timeout: 20m
      envs:
        - DRONE_TAG
      script:
        - echo "===== 开始构建版本：${DRONE_TAG} ====="
        - cd /data/ai_flow_backend-prod/source
        # 删除旧镜像
        - docker rmi ai-flow-backend-prod:latest || true
        # 构建新镜像
        - docker build -f Dockerfile-prod -t ai-flow-backend-prod:${DRONE_TAG} -t ai-flow-backend-prod:latest .

        # ===== 清理旧单实例容器 =====
        - |
          if docker ps -a --format '{{.Names}}' | grep -q '^ai-flow-backend-prod$'; then
            echo "检测到旧单实例容器 ai-flow-backend-prod，先清理"
            docker stop ai-flow-backend-prod || true
            docker rm ai-flow-backend-prod || true
          fi

        # ===== 部署单实例 =====
        - echo "===== 部署单实例 ai-flow-backend-prod ====="
        # 启动新容器（宿主机映射为8004，容器内为8002）
        - |
          docker run -d \
            --name ai-flow-backend-prod \
            --restart always \
            -p 8004:8002 \
            -v /data/ai_flow_backend-prod/uploads:/app/uploads \
            -v /data/ai_flow_backend-prod/logs:/app/logs \
            ai-flow-backend-prod:${DRONE_TAG}
            
        # 等待容器启动
        - |
          HEALTH_OK=false
          for i in $(seq 1 30); do
            # 如果有健康检查接口，请替换为 curl，例如：curl -sf http://127.0.0.1:8002/health
            # 这里先用 docker inspect 判断是否处于 running 状态
            if [ "$(docker inspect -f '{{.State.Running}}' ai-flow-backend-prod)" = "true" ]; then
              echo "ai-flow-backend-prod 启动成功"
              HEALTH_OK=true
              break
            fi
            echo "等待容器启动... ($i/30)"
            sleep 2
          done
          
          if [ "$HEALTH_OK" != "true" ]; then
            echo "ERROR: ai-flow-backend-prod 启动超时"
            exit 1
          fi

        # ===== 清理无用的悬空镜像 =====
        - docker image prune -f
        - echo "===== 单实例部署完成：ai-flow-backend-prod:${DRONE_TAG} ====="

trigger:
  event:
    - tag