{"repo": "bobby-sheng/aitestmind", "files": {"quick-deploy.sh": {"52dbf6ffa577baaf76fe4c55f2a873f3f839b5a2": {"t": 1785745940.9484894, "n": 9527, "h": "92f3739365f684a7", "c": "#!/bin/bash\n\n# ================================\n# AI TestMind - 快速部署脚本\n# ================================\n\nset -e\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nBLUE='\\033[0;34m'\nCYAN='\\033[0;36m'\nNC='\\033[0m' # No Color\n\n# 显示横幅\nshow_banner() {\n    echo -e \"${BLUE}\"\n    cat << \"EOF\"\n    ___    ____   ______          __  __  ___           __\n   /   |  /  _/  /_  __/__  _____/ /_/  |/  (_)___  ____/ /\n  / /| |  / /     / / / _ \\/ ___/ __/ /|_/ / / __ \\/ __  / \n / ___ |_/ /     / / /  __(__  ) /_/ /  / / / / / / /_/ /  \n/_/  |_/___/    /_/  \\___/____/\\__/_/  /_/_/_/ /_/\\__,_/   \n\nEOF\n    echo -e \"${NC}\"\n    echo -e \"${CYAN}AI-Powered Visual API Test Orchestration Platform${NC}\"\n    echo -e \"${BLUE}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo \"\"\n}\n\n# 检查依赖\ncheck_dependencies() {\n    echo -e \"${BLUE}📋 检查系统依赖...${NC}\"\n    \n    # 检查 Docker\n    if ! command -v docker &> /dev/null; then\n        echo -e \"${RED}❌ Docker 未安装${NC}\"\n        echo \"请先安装 Docker: https://docs.docker.com/get-docker/\"\n        exit 1\n    fi\n    \n    # 检查 Docker 是否运行\n    if ! docker info &> /dev/null; then\n        echo -e \"${RED}❌ Docker 未运行${NC}\"\n        echo \"请先启动 Docker\"\n        exit 1\n    fi\n    \n    echo -e \"${GREEN}✅ Docker 已就绪${NC}\"\n    \n    # 检查 Docker Compose（可选）\n    if command -v docker-compose &> /dev/null; then\n        echo -e \"${GREEN}✅ Docker Compose 已安装${NC}\"\n        USE_COMPOSE=true\n    else\n        echo -e \"${YELLOW}⚠️  Docker Compose 未安装，将使用 docker run${NC}\"\n        USE_COMPOSE=false\n    fi\n    \n    echo \"\"\n}\n\n# 选择镜像仓库\nselect_registry() {\n    echo -e \"${BLUE}📦 选择镜像仓库:${NC}\"\n    echo \"  1) GitHub Container Registry (ghcr.io) - 推荐\"\n    echo \"  2) Docker Hub (docker.io)\"\n    echo \"  3) 自定义镜像地址\"\n    echo \"\"\n    \n    read -p \"请选择 [1-3]: \" registry_choice\n    \n    case $registry_choice in\n        1)\n            echo \"\"\n            echo -e \"${CYAN}请输入 GitHub 用户名或组织名:${NC}\"\n            read -p \"GitHub Username: \" github_user\n            IMAGE=\"ghcr.io/${github_user}/aitestmind-all-in-one:latest\"\n            ;;\n        2)\n            echo \"\"\n            echo -e \"${CYAN}请输入 Docker Hub 用户名:${NC}\"\n            read -p \"Docker Username: \" docker_user\n            IMAGE=\"${docker_user}/aitestmind-all-in-one:latest\"\n            ;;\n        3)\n            echo \"\"\n            echo -e \"${CYAN}请输入完整的镜像地址:${NC}\"\n            read -p \"Image: \" IMAGE\n            ;;\n        *)\n            echo -e \"${RED}❌ 无效的选择${NC}\"\n            exit 1\n            ;;\n    esac\n    \n    echo \"\"\n    echo -e \"${GREEN}📦 使用镜像: ${IMAGE}${NC}\"\n    echo \"\"\n}\n\n# 配置端口\nconfigure_ports() {\n    echo -e \"${BLUE}🔧 端口配置${NC}\"\n    \n    # 前端端口\n    read -p \"前端端口 [默认: 3000]: \" frontend_port\n    FRONTEND_PORT=${frontend_port:-3000}\n    \n    # 执行器端口\n    read -p \"执行器端口 [默认: 8001]: \" executor_port\n    EXECUTOR_PORT=${executor_port:-8001}\n    \n    # 代理端口\n    read -p \"代理端口 [默认: 8899]: \" proxy_port\n    PROXY_PORT=${proxy_port:-8899}\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 端口配置:${NC}\"\n    echo \"  • 前端: ${FRONTEND_PORT}\"\n    echo \"  • 执行器: ${EXECUTOR_PORT}\"\n    echo \"  • 代理: ${PROXY_PORT} (mitmproxy API 采集)\"\n    echo \"\"\n}\n\n# 配置 AI 提供商\nconfigure_ai() {\n    echo -e \"${BLUE}🤖 AI 提供商配置 (可选)${NC}\"\n    echo \"\"\n    read -p \"是否配置 AI 提供商？[y/N]: \" config_ai\n    \n    AI_ENV=\"\"\n    \n    if [[ $config_ai =~ ^[Yy]$ ]]; then\n        echo \"\"\n        echo \"选择 AI 提供商:\"\n        echo \"  1) OpenAI\"\n        echo \"  2) DeepSeek\"\n        echo \"  3) Claude\"\n        echo \"  4) 跳过\"\n        echo \"\"\n        read -p \"请选择 [1-4]: \" ai_choice\n        \n        case $ai_choice in\n            1)\n                read -p \"OpenAI API Key: \" openai_key\n                read -p \"OpenAI Base URL [默认: https://api.openai.com/v1]: \" openai_url\n                openai_url=${openai_url:-https://api.openai.com/v1}\n                AI_ENV=\"-e OPENAI_API_KEY=$openai_key -e OPENAI_BASE_URL=$openai_url\"\n                ;;\n            2)\n                read -p \"DeepSeek API Key: \" deepseek_key\n                AI_ENV=\"-e DEEPSEEK_API_KEY=$deepseek_key -e DEEPSEEK_BASE_URL=https://api.deepseek.com/v1\"\n                ;;\n            3)\n                read -p \"Claude API Key: \" claude_key\n                AI_ENV=\"-e ANTHROPIC_API_KEY=$claude_key\"\n                ;;\n            4)\n                echo \"跳过 AI 配置\"\n                ;;\n        esac\n    fi\n    \n    echo \"\"\n}\n\n# 创建目录\ncreate_directories() {\n    echo -e \"${BLUE}📁 创建数据目录...${NC}\"\n    \n    mkdir -p ./data\n    mkdir -p ./logs\n    \n    echo -e \"${GREEN}✅ 目录创建完成${NC}\"\n    echo \"\"\n}\n\n# 拉取镜像\npull_image() {\n    echo -e \"${BLUE}📥 拉取 Docker 镜像...${NC}\"\n    echo \"\"\n    \n    docker pull $IMAGE\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 镜像拉取失败${NC}\"\n        echo \"请检查:\"\n        echo \"  1. 镜像地址是否正确\"\n        echo \"  2. 是否需要登录 (私有镜像)\"\n        echo \"  3. 网络连接是否正常\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 镜像拉取成功${NC}\"\n    echo \"\"\n}\n\n# 停止旧容器\nstop_old_container() {\n    if docker ps -a | grep -q aitestmind-prod; then\n        echo -e \"${YELLOW}⏹️  停止旧容器...${NC}\"\n        docker stop aitestmind-prod > /dev/null 2>&1 || true\n        docker rm aitestmind-prod > /dev/null 2>&1 || true\n        echo -e \"${GREEN}✅ 旧容器已停止${NC}\"\n        echo \"\"\n    fi\n}\n\n# 使用 Docker Run 部署\ndeploy_with_docker_run() {\n    echo -e \"${BLUE}🚀 启动容器...${NC}\"\n    echo \"\"\n    \n    docker run -d \\\n        --name aitestmind-prod \\\n        -p ${FRONTEND_PORT}:3000 \\\n        -p ${EXECUTOR_PORT}:8001 \\\n        -p ${PROXY_PORT}:8899 \\\n        -e NODE_ENV=production \\\n        -e DATABASE_URL=file:/app/data/dev.db \\\n        -e EXECUTOR_URL=http://localhost:8001 \\\n        -e PYTHONUNBUFFERED=1 \\\n        $AI_ENV \\\n        -v $(pwd)/data:/app/data \\\n        -v $(pwd)/logs:/app/logs \\\n        --restart unless-stopped \\\n        $IMAGE\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 容器启动失败${NC}\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 容器启动成功${NC}\"\n}\n\n# 使用 Docker Compose 部署\ndeploy_with_compose() {\n    echo -e \"${BLUE}📝 创建 docker-compose.yml...${NC}\"\n    \n    cat > docker-compose.yml << EOF\nversion: '3.8'\n\nservices:\n  aitestmind:\n    image: $IMAGE\n    container_name: aitestmind-prod\n    ports:\n      - \"${FRONTEND_PORT}:3000\"\n      - \"${EXECUTOR_PORT}:8001\"\n      - \"${PROXY_PORT}:8899\"\n    environment:\n      - NODE_ENV=production\n      - DATABASE_URL=file:/app/data/dev.db\n      - EXECUTOR_URL=http://localhost:8001\n      - PYTHONUNBUFFERED=1\nEOF\n\n    if [ -n \"$AI_ENV\" ]; then\n        # 解析 AI_ENV 并添加到 compose 文件\n        echo \"$AI_ENV\" | sed 's/-e /      - /g' >> docker-compose.yml\n    fi\n\n    cat >> docker-compose.yml << EOF\n    volumes:\n      - ./data:/app/data\n      - ./logs:/app/logs\n    restart: unless-stopped\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/api/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 40s\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\nEOF\n\n    echo \"\"\n    echo -e \"${BLUE}🚀 启动服务...${NC}\"\n    echo \"\"\n    \n    docker-compose up -d\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 服务启动失败${NC}\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 服务启动成功${NC}\"\n}\n\n# 等待服务就绪\nwait_for_service() {\n    echo \"\"\n    echo -e \"${YELLOW}⏳ 等待服务启动...${NC}\"\n    \n    max_attempts=30\n    attempt=0\n    \n    while [ $attempt -lt $max_attempts ]; do\n        if curl -f http://localhost:${FRONTEND_PORT}/api/health > /dev/null 2>&1; then\n            echo \"\"\n            echo -e \"${GREEN}✅ 服务已就绪！${NC}\"\n            return 0\n        fi\n        \n        echo -n \".\"\n        sleep 2\n        attempt=$((attempt + 1))\n    done\n    \n    echo \"\"\n    echo -e \"${YELLOW}⚠️  服务启动超时，请检查日志${NC}\"\n}\n\n# 显示部署信息\nshow_deployment_info() {\n    echo \"\"\n    echo -e \"${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo -e \"${GREEN}🎉 AI TestMind 部署完成！${NC}\"\n    echo -e \"${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo \"\"\n    echo -e \"${BLUE}🌐 访问地址：${NC}\"\n    echo \"  • 前端界面: ${CYAN}http://localhost:${FRONTEND_PORT}${NC}\"\n    echo \"  • 执行器API: ${CYAN}http://localhost:${EXECUTOR_PORT}${NC}\"\n    echo \"  • API文档: ${CYAN}http://localhost:${EXECUTOR_PORT}/docs${NC}\"\n    echo \"  • 代理端口: ${CYAN}localhost:${PROXY_PORT}${NC} (mitmproxy API 采集)\"\n    echo \"\"\n    echo -e \"${BLUE}📊 实用命令：${NC}\"\n    \n    if [ \"$USE_COMPOSE\" = true ]; then\n        echo \"  • 查看日志: ${YELLOW}docker-compose logs -f${NC}\"\n        echo \"  • 停止服务: ${YELLOW}docker-compose down${NC}\"\n        echo \"  • 重启服务: ${YELLOW}docker-compose restart${NC}\"\n    else\n        echo \"  • 查看日志: ${YELLOW}docker logs -f aitestmind-prod${NC}\"\n        echo \"  • 停止容器: ${YELLOW}docker stop aitestmind-prod${NC}\"\n        echo \"  • 重启容器: ${YELLOW}docker restart aitestmind-prod${NC}\"\n    fi\n    \n    echo \"\"\n    echo -e \"${BLUE}📁 数据目录：${NC}\"\n    echo \"  • 数据库: $(pwd)/data/dev.db\"\n    echo \"  • 日志: $(pwd)/logs/\"\n    echo \"\"\n    echo -e \"${BLUE}📖 更多信息：${NC}\"\n    echo \"  • 部署指南: ${CYAN}docs/deployment/DEPLOYMENT_GUIDE.md${NC}\"\n    echo \"  • 用户文档: ${CYAN}docs/user-guide/${NC}\"\n    echo \"\"\n    echo -e \"${GREEN}✨ 祝你使用愉快！${NC}\"\n    echo \"\"\n}\n\n# 主函数\nmain() {\n    show_banner\n    check_dependencies\n    select_registry\n    configure_ports\n    configure_ai\n    create_directories\n    pull_image\n    stop_old_container\n    \n    if [ \"$USE_COMPOSE\" = true ]; then\n        deploy_with_compose\n    else\n        deploy_with_docker_run\n    fi\n    \n    wait_for_service\n    show_deployment_info\n}\n\n# 运行主函数\nmain\n\n"}, "b556eaca137e0700cc192afd6d76f303fbbf7a1f": {"t": 1785758105.4702957, "n": 9527, "h": "92f3739365f684a7", "c": "#!/bin/bash\n\n# ================================\n# AI TestMind - 快速部署脚本\n# ================================\n\nset -e\n\n# 颜色定义\nRED='\\033[0;31m'\nGREEN='\\033[0;32m'\nYELLOW='\\033[1;33m'\nBLUE='\\033[0;34m'\nCYAN='\\033[0;36m'\nNC='\\033[0m' # No Color\n\n# 显示横幅\nshow_banner() {\n    echo -e \"${BLUE}\"\n    cat << \"EOF\"\n    ___    ____   ______          __  __  ___           __\n   /   |  /  _/  /_  __/__  _____/ /_/  |/  (_)___  ____/ /\n  / /| |  / /     / / / _ \\/ ___/ __/ /|_/ / / __ \\/ __  / \n / ___ |_/ /     / / /  __(__  ) /_/ /  / / / / / / /_/ /  \n/_/  |_/___/    /_/  \\___/____/\\__/_/  /_/_/_/ /_/\\__,_/   \n\nEOF\n    echo -e \"${NC}\"\n    echo -e \"${CYAN}AI-Powered Visual API Test Orchestration Platform${NC}\"\n    echo -e \"${BLUE}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo \"\"\n}\n\n# 检查依赖\ncheck_dependencies() {\n    echo -e \"${BLUE}📋 检查系统依赖...${NC}\"\n    \n    # 检查 Docker\n    if ! command -v docker &> /dev/null; then\n        echo -e \"${RED}❌ Docker 未安装${NC}\"\n        echo \"请先安装 Docker: https://docs.docker.com/get-docker/\"\n        exit 1\n    fi\n    \n    # 检查 Docker 是否运行\n    if ! docker info &> /dev/null; then\n        echo -e \"${RED}❌ Docker 未运行${NC}\"\n        echo \"请先启动 Docker\"\n        exit 1\n    fi\n    \n    echo -e \"${GREEN}✅ Docker 已就绪${NC}\"\n    \n    # 检查 Docker Compose（可选）\n    if command -v docker-compose &> /dev/null; then\n        echo -e \"${GREEN}✅ Docker Compose 已安装${NC}\"\n        USE_COMPOSE=true\n    else\n        echo -e \"${YELLOW}⚠️  Docker Compose 未安装，将使用 docker run${NC}\"\n        USE_COMPOSE=false\n    fi\n    \n    echo \"\"\n}\n\n# 选择镜像仓库\nselect_registry() {\n    echo -e \"${BLUE}📦 选择镜像仓库:${NC}\"\n    echo \"  1) GitHub Container Registry (ghcr.io) - 推荐\"\n    echo \"  2) Docker Hub (docker.io)\"\n    echo \"  3) 自定义镜像地址\"\n    echo \"\"\n    \n    read -p \"请选择 [1-3]: \" registry_choice\n    \n    case $registry_choice in\n        1)\n            echo \"\"\n            echo -e \"${CYAN}请输入 GitHub 用户名或组织名:${NC}\"\n            read -p \"GitHub Username: \" github_user\n            IMAGE=\"ghcr.io/${github_user}/aitestmind-all-in-one:latest\"\n            ;;\n        2)\n            echo \"\"\n            echo -e \"${CYAN}请输入 Docker Hub 用户名:${NC}\"\n            read -p \"Docker Username: \" docker_user\n            IMAGE=\"${docker_user}/aitestmind-all-in-one:latest\"\n            ;;\n        3)\n            echo \"\"\n            echo -e \"${CYAN}请输入完整的镜像地址:${NC}\"\n            read -p \"Image: \" IMAGE\n            ;;\n        *)\n            echo -e \"${RED}❌ 无效的选择${NC}\"\n            exit 1\n            ;;\n    esac\n    \n    echo \"\"\n    echo -e \"${GREEN}📦 使用镜像: ${IMAGE}${NC}\"\n    echo \"\"\n}\n\n# 配置端口\nconfigure_ports() {\n    echo -e \"${BLUE}🔧 端口配置${NC}\"\n    \n    # 前端端口\n    read -p \"前端端口 [默认: 3000]: \" frontend_port\n    FRONTEND_PORT=${frontend_port:-3000}\n    \n    # 执行器端口\n    read -p \"执行器端口 [默认: 8001]: \" executor_port\n    EXECUTOR_PORT=${executor_port:-8001}\n    \n    # 代理端口\n    read -p \"代理端口 [默认: 8899]: \" proxy_port\n    PROXY_PORT=${proxy_port:-8899}\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 端口配置:${NC}\"\n    echo \"  • 前端: ${FRONTEND_PORT}\"\n    echo \"  • 执行器: ${EXECUTOR_PORT}\"\n    echo \"  • 代理: ${PROXY_PORT} (mitmproxy API 采集)\"\n    echo \"\"\n}\n\n# 配置 AI 提供商\nconfigure_ai() {\n    echo -e \"${BLUE}🤖 AI 提供商配置 (可选)${NC}\"\n    echo \"\"\n    read -p \"是否配置 AI 提供商？[y/N]: \" config_ai\n    \n    AI_ENV=\"\"\n    \n    if [[ $config_ai =~ ^[Yy]$ ]]; then\n        echo \"\"\n        echo \"选择 AI 提供商:\"\n        echo \"  1) OpenAI\"\n        echo \"  2) DeepSeek\"\n        echo \"  3) Claude\"\n        echo \"  4) 跳过\"\n        echo \"\"\n        read -p \"请选择 [1-4]: \" ai_choice\n        \n        case $ai_choice in\n            1)\n                read -p \"OpenAI API Key: \" openai_key\n                read -p \"OpenAI Base URL [默认: https://api.openai.com/v1]: \" openai_url\n                openai_url=${openai_url:-https://api.openai.com/v1}\n                AI_ENV=\"-e OPENAI_API_KEY=$openai_key -e OPENAI_BASE_URL=$openai_url\"\n                ;;\n            2)\n                read -p \"DeepSeek API Key: \" deepseek_key\n                AI_ENV=\"-e DEEPSEEK_API_KEY=$deepseek_key -e DEEPSEEK_BASE_URL=https://api.deepseek.com/v1\"\n                ;;\n            3)\n                read -p \"Claude API Key: \" claude_key\n                AI_ENV=\"-e ANTHROPIC_API_KEY=$claude_key\"\n                ;;\n            4)\n                echo \"跳过 AI 配置\"\n                ;;\n        esac\n    fi\n    \n    echo \"\"\n}\n\n# 创建目录\ncreate_directories() {\n    echo -e \"${BLUE}📁 创建数据目录...${NC}\"\n    \n    mkdir -p ./data\n    mkdir -p ./logs\n    \n    echo -e \"${GREEN}✅ 目录创建完成${NC}\"\n    echo \"\"\n}\n\n# 拉取镜像\npull_image() {\n    echo -e \"${BLUE}📥 拉取 Docker 镜像...${NC}\"\n    echo \"\"\n    \n    docker pull $IMAGE\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 镜像拉取失败${NC}\"\n        echo \"请检查:\"\n        echo \"  1. 镜像地址是否正确\"\n        echo \"  2. 是否需要登录 (私有镜像)\"\n        echo \"  3. 网络连接是否正常\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 镜像拉取成功${NC}\"\n    echo \"\"\n}\n\n# 停止旧容器\nstop_old_container() {\n    if docker ps -a | grep -q aitestmind-prod; then\n        echo -e \"${YELLOW}⏹️  停止旧容器...${NC}\"\n        docker stop aitestmind-prod > /dev/null 2>&1 || true\n        docker rm aitestmind-prod > /dev/null 2>&1 || true\n        echo -e \"${GREEN}✅ 旧容器已停止${NC}\"\n        echo \"\"\n    fi\n}\n\n# 使用 Docker Run 部署\ndeploy_with_docker_run() {\n    echo -e \"${BLUE}🚀 启动容器...${NC}\"\n    echo \"\"\n    \n    docker run -d \\\n        --name aitestmind-prod \\\n        -p ${FRONTEND_PORT}:3000 \\\n        -p ${EXECUTOR_PORT}:8001 \\\n        -p ${PROXY_PORT}:8899 \\\n        -e NODE_ENV=production \\\n        -e DATABASE_URL=file:/app/data/dev.db \\\n        -e EXECUTOR_URL=http://localhost:8001 \\\n        -e PYTHONUNBUFFERED=1 \\\n        $AI_ENV \\\n        -v $(pwd)/data:/app/data \\\n        -v $(pwd)/logs:/app/logs \\\n        --restart unless-stopped \\\n        $IMAGE\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 容器启动失败${NC}\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 容器启动成功${NC}\"\n}\n\n# 使用 Docker Compose 部署\ndeploy_with_compose() {\n    echo -e \"${BLUE}📝 创建 docker-compose.yml...${NC}\"\n    \n    cat > docker-compose.yml << EOF\nversion: '3.8'\n\nservices:\n  aitestmind:\n    image: $IMAGE\n    container_name: aitestmind-prod\n    ports:\n      - \"${FRONTEND_PORT}:3000\"\n      - \"${EXECUTOR_PORT}:8001\"\n      - \"${PROXY_PORT}:8899\"\n    environment:\n      - NODE_ENV=production\n      - DATABASE_URL=file:/app/data/dev.db\n      - EXECUTOR_URL=http://localhost:8001\n      - PYTHONUNBUFFERED=1\nEOF\n\n    if [ -n \"$AI_ENV\" ]; then\n        # 解析 AI_ENV 并添加到 compose 文件\n        echo \"$AI_ENV\" | sed 's/-e /      - /g' >> docker-compose.yml\n    fi\n\n    cat >> docker-compose.yml << EOF\n    volumes:\n      - ./data:/app/data\n      - ./logs:/app/logs\n    restart: unless-stopped\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/api/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 40s\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\nEOF\n\n    echo \"\"\n    echo -e \"${BLUE}🚀 启动服务...${NC}\"\n    echo \"\"\n    \n    docker-compose up -d\n    \n    if [ $? -ne 0 ]; then\n        echo \"\"\n        echo -e \"${RED}❌ 服务启动失败${NC}\"\n        exit 1\n    fi\n    \n    echo \"\"\n    echo -e \"${GREEN}✅ 服务启动成功${NC}\"\n}\n\n# 等待服务就绪\nwait_for_service() {\n    echo \"\"\n    echo -e \"${YELLOW}⏳ 等待服务启动...${NC}\"\n    \n    max_attempts=30\n    attempt=0\n    \n    while [ $attempt -lt $max_attempts ]; do\n        if curl -f http://localhost:${FRONTEND_PORT}/api/health > /dev/null 2>&1; then\n            echo \"\"\n            echo -e \"${GREEN}✅ 服务已就绪！${NC}\"\n            return 0\n        fi\n        \n        echo -n \".\"\n        sleep 2\n        attempt=$((attempt + 1))\n    done\n    \n    echo \"\"\n    echo -e \"${YELLOW}⚠️  服务启动超时，请检查日志${NC}\"\n}\n\n# 显示部署信息\nshow_deployment_info() {\n    echo \"\"\n    echo -e \"${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo -e \"${GREEN}🎉 AI TestMind 部署完成！${NC}\"\n    echo -e \"${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}\"\n    echo \"\"\n    echo -e \"${BLUE}🌐 访问地址：${NC}\"\n    echo \"  • 前端界面: ${CYAN}http://localhost:${FRONTEND_PORT}${NC}\"\n    echo \"  • 执行器API: ${CYAN}http://localhost:${EXECUTOR_PORT}${NC}\"\n    echo \"  • API文档: ${CYAN}http://localhost:${EXECUTOR_PORT}/docs${NC}\"\n    echo \"  • 代理端口: ${CYAN}localhost:${PROXY_PORT}${NC} (mitmproxy API 采集)\"\n    echo \"\"\n    echo -e \"${BLUE}📊 实用命令：${NC}\"\n    \n    if [ \"$USE_COMPOSE\" = true ]; then\n        echo \"  • 查看日志: ${YELLOW}docker-compose logs -f${NC}\"\n        echo \"  • 停止服务: ${YELLOW}docker-compose down${NC}\"\n        echo \"  • 重启服务: ${YELLOW}docker-compose restart${NC}\"\n    else\n        echo \"  • 查看日志: ${YELLOW}docker logs -f aitestmind-prod${NC}\"\n        echo \"  • 停止容器: ${YELLOW}docker stop aitestmind-prod${NC}\"\n        echo \"  • 重启容器: ${YELLOW}docker restart aitestmind-prod${NC}\"\n    fi\n    \n    echo \"\"\n    echo -e \"${BLUE}📁 数据目录：${NC}\"\n    echo \"  • 数据库: $(pwd)/data/dev.db\"\n    echo \"  • 日志: $(pwd)/logs/\"\n    echo \"\"\n    echo -e \"${BLUE}📖 更多信息：${NC}\"\n    echo \"  • 部署指南: ${CYAN}docs/deployment/DEPLOYMENT_GUIDE.md${NC}\"\n    echo \"  • 用户文档: ${CYAN}docs/user-guide/${NC}\"\n    echo \"\"\n    echo -e \"${GREEN}✨ 祝你使用愉快！${NC}\"\n    echo \"\"\n}\n\n# 主函数\nmain() {\n    show_banner\n    check_dependencies\n    select_registry\n    configure_ports\n    configure_ai\n    create_directories\n    pull_image\n    stop_old_container\n    \n    if [ \"$USE_COMPOSE\" = true ]; then\n        deploy_with_compose\n    else\n        deploy_with_docker_run\n    fi\n    \n    wait_for_service\n    show_deployment_info\n}\n\n# 运行主函数\nmain\n\n"}}, "docker-compose.prod.yml": {"52dbf6ffa577baaf76fe4c55f2a873f3f839b5a2": {"t": 1785746329.5333958, "n": 2099, "h": "e53a10111ceef3a6", "c": "version: '3.8'\n\n# ================================\n# API 智能测试平台 - 生产环境配置\n# 使用预构建的 Docker 镜像\n# ================================\n\nservices:\n  aitestmind:\n    # 使用 GitHub Container Registry 镜像\n    # 也可以使用 Docker Hub: yourusername/aitestmind-all-in-one:latest\n    image: ghcr.io/bobby-sheng/aitestmind-all-in-one:latest\n    \n    container_name: aitestmind-prod\n    \n    ports:\n      - \"3000:3000\"  # 前端端口\n      - \"8001:8001\"  # 执行器端口\n      - \"8899:8899\"  # mitmproxy 代理端口（API 采集）\n    \n    environment:\n      # 基础配置\n      - NODE_ENV=production\n      - DATABASE_URL=file:/app/data/dev.db\n      - EXECUTOR_URL=http://localhost:8001\n      - PYTHONUNBUFFERED=1\n      \n      # AI 提供商配置（可选）\n      # OpenAI\n      - OPENAI_API_KEY=${OPENAI_API_KEY:-}\n      - OPENAI_BASE_URL=${OPENAI_BASE_URL:-https://api.openai.com/v1}\n      \n      # DeepSeek\n      - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}\n      - DEEPSEEK_BASE_URL=${DEEPSEEK_BASE_URL:-https://api.deepseek.com/v1}\n      \n      # Claude\n      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}\n      \n      # 百度文心一言\n      - BAIDU_API_KEY=${BAIDU_API_KEY:-}\n      - BAIDU_SECRET_KEY=${BAIDU_SECRET_KEY:-}\n      \n      # 阿里通义千问\n      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-}\n      \n      # Ollama（本地部署）\n      - OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-}\n      \n    volumes:\n      # 数据持久化\n      - ./data:/app/data\n      - ./logs:/app/logs\n    \n    restart: unless-stopped\n    \n    # 健康检查\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/api/health\", \"&&\", \"curl\", \"-f\", \"http://localhost:8001/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 40s\n    \n    # 资源限制\n    deploy:\n      resources:\n        limits:\n          cpus: '2'\n          memory: 2G\n        reservations:\n          cpus: '0.5'\n          memory: 512M\n    \n    # 日志配置\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\n    \n    networks:\n      - aitestmind-network\n\nnetworks:\n  aitestmind-network:\n    driver: bridge\n\n# 数据卷（可选）\n# 如果不使用绑定挂载，可以使用命名卷\n# volumes:\n#   aitestmind-data:\n#   aitestmind-logs:\n"}, "bcf0ffe2fa1bec76102f767be072392e7615e763": {"t": 1785758106.6787083, "n": 2099, "h": "e53a10111ceef3a6", "c": "version: '3.8'\n\n# ================================\n# API 智能测试平台 - 生产环境配置\n# 使用预构建的 Docker 镜像\n# ================================\n\nservices:\n  aitestmind:\n    # 使用 GitHub Container Registry 镜像\n    # 也可以使用 Docker Hub: yourusername/aitestmind-all-in-one:latest\n    image: ghcr.io/bobby-sheng/aitestmind-all-in-one:latest\n    \n    container_name: aitestmind-prod\n    \n    ports:\n      - \"3000:3000\"  # 前端端口\n      - \"8001:8001\"  # 执行器端口\n      - \"8899:8899\"  # mitmproxy 代理端口（API 采集）\n    \n    environment:\n      # 基础配置\n      - NODE_ENV=production\n      - DATABASE_URL=file:/app/data/dev.db\n      - EXECUTOR_URL=http://localhost:8001\n      - PYTHONUNBUFFERED=1\n      \n      # AI 提供商配置（可选）\n      # OpenAI\n      - OPENAI_API_KEY=${OPENAI_API_KEY:-}\n      - OPENAI_BASE_URL=${OPENAI_BASE_URL:-https://api.openai.com/v1}\n      \n      # DeepSeek\n      - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}\n      - DEEPSEEK_BASE_URL=${DEEPSEEK_BASE_URL:-https://api.deepseek.com/v1}\n      \n      # Claude\n      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}\n      \n      # 百度文心一言\n      - BAIDU_API_KEY=${BAIDU_API_KEY:-}\n      - BAIDU_SECRET_KEY=${BAIDU_SECRET_KEY:-}\n      \n      # 阿里通义千问\n      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-}\n      \n      # Ollama（本地部署）\n      - OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-}\n      \n    volumes:\n      # 数据持久化\n      - ./data:/app/data\n      - ./logs:/app/logs\n    \n    restart: unless-stopped\n    \n    # 健康检查\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/api/health\", \"&&\", \"curl\", \"-f\", \"http://localhost:8001/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 40s\n    \n    # 资源限制\n    deploy:\n      resources:\n        limits:\n          cpus: '2'\n          memory: 2G\n        reservations:\n          cpus: '0.5'\n          memory: 512M\n    \n    # 日志配置\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\n    \n    networks:\n      - aitestmind-network\n\nnetworks:\n  aitestmind-network:\n    driver: bridge\n\n# 数据卷（可选）\n# 如果不使用绑定挂载，可以使用命名卷\n# volumes:\n#   aitestmind-data:\n#   aitestmind-logs:\n"}, "b556eaca137e0700cc192afd6d76f303fbbf7a1f": {"t": 1785758108.8693528, "n": 2100, "h": "bcb5fe52baf174f2", "c": "version: '3.8'\n\n# ================================\n# AI TestMind - 生产环境配置\n# 使用预构建的 Docker 镜像\n# ================================\n\nservices:\n  aitestmind:\n    # 使用 GitHub Container Registry 镜像\n    # 也可以使用 Docker Hub: yourusername/aitestmind-all-in-one:latest\n    image: ghcr.io/bobby-sheng/aitestmind-all-in-one:latest\n    \n    container_name: aitestmind-prod\n    \n    ports:\n      - \"3000:3000\"  # 前端端口\n      - \"8001:8001\"  # 执行器端口\n      - \"8899:8899\"  # mitmproxy 代理端口（API 采集）\n    \n    environment:\n      # 基础配置\n      - NODE_ENV=production\n      - DATABASE_URL=file:/app/data/dev.db\n      - EXECUTOR_URL=http://localhost:8001\n      - PYTHONUNBUFFERED=1\n      \n      # AI 提供商配置（可选）\n      # OpenAI\n      - OPENAI_API_KEY=${OPENAI_API_KEY:-}\n      - OPENAI_BASE_URL=${OPENAI_BASE_URL:-https://api.openai.com/v1}\n      \n      # DeepSeek\n      - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}\n      - DEEPSEEK_BASE_URL=${DEEPSEEK_BASE_URL:-https://api.deepseek.com/v1}\n      \n      # Claude\n      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}\n      \n      # 百度文心一言\n      - BAIDU_API_KEY=${BAIDU_API_KEY:-}\n      - BAIDU_SECRET_KEY=${BAIDU_SECRET_KEY:-}\n      \n      # 阿里通义千问\n      - DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-}\n      \n      # Ollama（本地部署）\n      - OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-}\n      \n    volumes:\n      # 数据持久化\n      - ./data:/app/data\n      - ./logs:/app/logs\n    \n    restart: unless-stopped\n    \n    # 健康检查\n    healthcheck:\n      test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3000/api/health\", \"&&\", \"curl\", \"-f\", \"http://localhost:8001/health\"]\n      interval: 30s\n      timeout: 10s\n      retries: 3\n      start_period: 40s\n    \n    # 资源限制\n    deploy:\n      resources:\n        limits:\n          cpus: '2'\n          memory: 2G\n        reservations:\n          cpus: '0.5'\n          memory: 512M\n    \n    # 日志配置\n    logging:\n      driver: \"json-file\"\n      options:\n        max-size: \"10m\"\n        max-file: \"3\"\n    \n    networks:\n      - aitestmind-network\n\nnetworks:\n  aitestmind-network:\n    driver: bridge\n\n# 数据卷（可选）\n# 如果不使用绑定挂载，可以使用命名卷\n# volumes:\n#   aitestmind-data:\n#   aitestmind-logs:\n"}}}}