97 lines
3.6 KiB
YAML
97 lines
3.6 KiB
YAML
name: Deploy to Server
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on: [push]
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jobs:
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deploy:
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runs-on: ubuntu
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steps:
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- name: Deploy using SSH
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uses: https://gitea.com/actions/appleboy-ssh-action@v1.0.3
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with:
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host: 6.6.6.66
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username: quant
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password: 123quant-speed
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command: |
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TARGET_DIR="/home/quant/scoring-system"
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REPO_URL="https://gitea.tangledup-ai.com/quant-speed-AI/Scoring-System"
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BRANCH="main"
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# 1. 检查用户是否在 docker 组
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echo "===== 检查 docker 权限 ====="
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if groups | grep -q docker; then
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echo "用户已在 docker 组"
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DOCKER_CMD="docker"
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else
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echo "用户不在 docker 组，使用 sudo"
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DOCKER_CMD="sudo docker"
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fi
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# 2. 创建目标目录
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echo "===== 创建目标目录: $TARGET_DIR ====="
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mkdir -p $TARGET_DIR
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# 3. 备份旧数据（如果存在）
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echo "===== 备份配置 ====="
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if [ -f "$TARGET_DIR/backend/.env" ]; then
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cp $TARGET_DIR/backend/.env /tmp/scoring-env-backup 2>/dev/null || true
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fi
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# 4. 清理旧代码
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echo "===== 清理旧代码 ====="
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cd $TARGET_DIR
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rm -rf .git .gitea docker-compose.yml backend frontend 2>/dev/null || true
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# 5. 下载最新代码（使用 curl）
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echo "===== 下载最新代码 ====="
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curl -L -o /tmp/scoring-system.tar.gz "$REPO_URL/archive/refs/heads/$BRANCH.tar.gz" 2>&1 || {
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echo "下载失败，尝试备用方案..."
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wget -O /tmp/scoring-system.tar.gz "$REPO_URL/archive/refs/heads/$BRANCH.tar.gz" 2>&1 || exit 1
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}
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# 6. 解压代码
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echo "===== 解压代码 ====="
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tar -xzf /tmp/scoring-system.tar.gz -C $TARGET_DIR
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mv $TARGET_DIR/Scoring-System-*/* $TARGET_DIR/
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rm -rf $TARGET_DIR/Scoring-System-*
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rm /tmp/scoring-system.tar.gz
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# 7. 恢复配置
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echo "===== 恢复配置 ====="
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if [ -f /tmp/scoring-env-backup ]; then
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cp /tmp/scoring-env-backup $TARGET_DIR/backend/.env
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fi
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# 8. 停止并移除 Docker 容器
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echo -e "\n===== 停止并清理 Docker ====="
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cd $TARGET_DIR
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$DOCKER_CMD compose down 2>/dev/null || true
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# 9. 创建 .env 文件（如果没有）
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echo -e "\n===== 配置环境变量 ====="
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if [ ! -f $TARGET_DIR/backend/.env ]; then
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mkdir -p $TARGET_DIR/backend
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cat > $TARGET_DIR/backend/.env <<'EOF'
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# Database Configuration
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DB_NAME=scoring
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DB_USER=quant-speed
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DB_PASSWORD=123quant-speed
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DB_HOST=6.6.6.66
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DB_PORT=5432
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# Aliyun OSS Configuration
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ALIYUN_ACCESS_KEY_ID=LTAI5tE62GW8MKyoEaotzxXk
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ALIYUN_ACCESS_KEY_SECRET=Zdzqo1fgj57DxxioXOotNKhJdSfVQW
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ALIYUN_OSS_ENDPOINT=https://oss-cn-shanghai.aliyuncs.com
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ALIYUN_OSS_BUCKET_NAME=tangledup-ai-staging
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ALIYUN_OSS_INTERNAL_ENDPOINT=https://oss-cn-shanghai-internal.aliyuncs.com
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# Aliyun Tingwu Configuration
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ALIYUN_TINGWU_APP_KEY=6eOX7N3tKE0fDwb
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DASHSCOPE_API_KEY=sk-84e9eef24a274f568d4fa15c97556c9f
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EOF
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fi
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# 10. 重新启动 Docker 容器
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echo -e "\n===== 启动 Docker 容器 ====="
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$DOCKER_CMD compose up -d --build
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echo -e "\n===== 操作完成！====="
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