name: Deploy to Server
on: [push]

jobs:
  deploy:
    runs-on: ubuntu
    steps:
      - name: Deploy using SSH
        uses: https://gitea.com/actions/appleboy-ssh-action@v1.0.3
        with:
          host: 6.6.6.66
          username: quant
          password: 123quant-speed
          command: |
            TARGET_DIR="/home/quant/scoring-system"
            REPO_URL="https://gitea.tangledup-ai.com/quant-speed-AI/Scoring-System"
            BRANCH="main"

            # 1. 检查用户是否在 docker 组
            echo "===== 检查 docker 权限 ====="
            if groups | grep -q docker; then
              echo "用户已在 docker 组"
              DOCKER_CMD="docker"
            else
              echo "用户不在 docker 组，使用 sudo"
              DOCKER_CMD="sudo docker"
            fi

            # 2. 创建目标目录
            echo "===== 创建目标目录: $TARGET_DIR ====="
            mkdir -p $TARGET_DIR

            # 3. 备份旧数据（如果存在）
            echo "===== 备份配置 ====="
            if [ -f "$TARGET_DIR/backend/.env" ]; then
              cp $TARGET_DIR/backend/.env /tmp/scoring-env-backup 2>/dev/null || true
            fi

            # 4. 清理旧代码
            echo "===== 清理旧代码 ====="
            cd $TARGET_DIR
            rm -rf .git .gitea docker-compose.yml backend frontend 2>/dev/null || true

            # 5. 下载最新代码（使用 curl）
            echo "===== 下载最新代码 ====="
            curl -L -o /tmp/scoring-system.tar.gz "$REPO_URL/archive/refs/heads/$BRANCH.tar.gz" 2>&1 || {
              echo "下载失败，尝试备用方案..."
              wget -O /tmp/scoring-system.tar.gz "$REPO_URL/archive/refs/heads/$BRANCH.tar.gz" 2>&1 || exit 1
            }

            # 6. 解压代码
            echo "===== 解压代码 ====="
            tar -xzf /tmp/scoring-system.tar.gz -C $TARGET_DIR
            mv $TARGET_DIR/Scoring-System-*/* $TARGET_DIR/
            rm -rf $TARGET_DIR/Scoring-System-*
            rm /tmp/scoring-system.tar.gz

            # 7. 恢复配置
            echo "===== 恢复配置 ====="
            if [ -f /tmp/scoring-env-backup ]; then
              cp /tmp/scoring-env-backup $TARGET_DIR/backend/.env
            fi

            # 8. 停止并移除 Docker 容器
            echo -e "\n===== 停止并清理 Docker ====="
            cd $TARGET_DIR
            $DOCKER_CMD compose down 2>/dev/null || true

            # 9. 创建 .env 文件（如果没有）
            echo -e "\n===== 配置环境变量 ====="
            if [ ! -f $TARGET_DIR/backend/.env ]; then
              mkdir -p $TARGET_DIR/backend
              cat > $TARGET_DIR/backend/.env <<'EOF'
              # Database Configuration
              DB_NAME=scoring
              DB_USER=quant-speed
              DB_PASSWORD=123quant-speed
              DB_HOST=6.6.6.66
              DB_PORT=5432
              # Aliyun OSS Configuration
              ALIYUN_ACCESS_KEY_ID=LTAI5tE62GW8MKyoEaotzxXk
              ALIYUN_ACCESS_KEY_SECRET=Zdzqo1fgj57DxxioXOotNKhJdSfVQW
              ALIYUN_OSS_ENDPOINT=https://oss-cn-shanghai.aliyuncs.com
              ALIYUN_OSS_BUCKET_NAME=tangledup-ai-staging
              ALIYUN_OSS_INTERNAL_ENDPOINT=https://oss-cn-shanghai-internal.aliyuncs.com
              # Aliyun Tingwu Configuration
              ALIYUN_TINGWU_APP_KEY=6eOX7N3tKE0fDwb
              DASHSCOPE_API_KEY=sk-84e9eef24a274f568d4fa15c97556c9f
              EOF
            fi

            # 10. 重新启动 Docker 容器
            echo -e "\n===== 启动 Docker 容器 ====="
            $DOCKER_CMD compose up -d --build

            echo -e "\n===== 操作完成！====="