assistant/scripts/deploy-production.sh

#!/bin/bash
# B2B Shopping AI Assistant - Production Deployment Script
# 生产环境部署脚本

set -e  # 遇到错误立即退出

# 颜色输出
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color

# 日志函数
log_info() {
    echo -e "${GREEN}[INFO]${NC} $1"
}

log_warn() {
    echo -e "${YELLOW}[WARN]${NC} $1"
}

log_error() {
    echo -e "${RED}[ERROR]${NC} $1"
}

# 检查必要的命令
check_requirements() {
    log_info "检查系统依赖..."

    if ! command -v docker &> /dev/null; then
        log_error "Docker 未安装，请先安装 Docker"
        exit 1
    fi

    if ! command -v docker-compose &> /dev/null; then
        log_error "Docker Compose 未安装，请先安装 Docker Compose"
        exit 1
    fi

    log_info "系统依赖检查完成"
}

# 检查环境变量文件
check_env_file() {
    log_info "检查环境变量文件..."

    if [ ! -f .env.production ]; then
        log_error ".env.production 文件不存在"
        log_info "请复制 .env.production.example 并填写真实值："
        log_info "  cp .env.production.example .env.production"
        log_info "  vim .env.production"
        exit 1
    fi

    # 检查必要的环境变量
    source .env.production

    required_vars=(
        "ZHIPU_API_KEY"
        "CHATWOOT_API_TOKEN"
        "HYPERF_API_URL"
        "MALL_API_URL"
        "REDIS_PASSWORD"
    )

    missing_vars=()
    for var in "${required_vars[@]}"; do
        if [ -z "${!var}" ] || [[ "${!var}" == *"your_"*"_here" ]]; then
            missing_vars+=("$var")
        fi
    done

    if [ ${#missing_vars[@]} -ne 0 ]; then
        log_error "以下环境变量未设置或使用默认值："
        for var in "${missing_vars[@]}"; do
            log_error "  - $var"
        exit 1
        fi
    fi

    log_info "环境变量检查完成"
}

# 构建镜像
build_images() {
    log_info "开始构建 Docker 镜像..."

    docker-compose -f docker-compose.prod.yml build --no-cache

    log_info "Docker 镜像构建完成"
}

# 停止现有服务
stop_services() {
    log_info "停止现有服务..."

    docker-compose -f docker-compose.prod.yml down

    log_info "现有服务已停止"
}

# 启动服务
start_services() {
    log_info "启动生产环境服务..."

    docker-compose -f docker-compose.prod.yml up -d

    log_info "服务启动完成"
}

# 健康检查
health_check() {
    log_info "等待服务启动..."

    sleep 10

    # 检查 Agent 服务
    if curl -f http://localhost:8000/health &> /dev/null; then
        log_info "✅ Agent 服务健康检查通过"
    else
        log_error "❌ Agent 服务健康检查失败"
        return 1
    fi

    # 检查 MCP 服务
    mcp_ports=(8001 8002 8003 8004)
    for port in "${mcp_ports[@]}"; do
        if curl -f http://localhost:$port/health &> /dev/null; then
            log_info "✅ MCP 服务 (端口 $port) 健康检查通过"
        else
            log_warn "⚠️  MCP 服务 (端口 $port) 健康检查失败"
        fi
    done
}

# 查看服务状态
show_status() {
    log_info "服务状态："
    docker-compose -f docker-compose.prod.yml ps
}

# 查看日志
show_logs() {
    log_info "最近的日志："
    docker-compose -f docker-compose.prod.yml logs --tail=50
}

# 主函数
main() {
    log_info "========================================"
    log_info "B2B Shopping AI Assistant - 生产环境部署"
    log_info "========================================"
    echo ""

    # 检查参数
    if [ "$1" == "--skip-build" ]; then
        log_warn "跳过镜像构建步骤"
    else
        check_requirements
        check_env_file
        build_images
    fi

    stop_services
    start_services

    log_info "等待服务就绪..."
    sleep 15

    if health_check; then
        log_info "========================================"
        log_info "✅ 部署成功！"
        log_info "========================================"
        echo ""
        log_info "服务地址："
        log_info "  - Agent:     http://localhost:8000"
        log_info "  - Strapi MCP: http://localhost:8001"
        log_info "  - Order MCP:  http://localhost:8002"
        log_info "  - After MCP:  http://localhost:8003"
        log_info "  - Product MCP: http://localhost:8004"
        echo ""
        log_info "查看日志："
        log_info "  docker-compose -f docker-compose.prod.yml logs -f"
        echo ""
        log_info "查看状态："
        log_info "  docker-compose -f docker-compose.prod.yml ps"
    else
        log_error "部署失败，请检查日志"
        show_logs
        exit 1
    fi
}

# 执行主函数
main "$@"