Summary: - Successfully deployed complete system to Aliyun SAE (2025-12-25) - All services running: Python microservice + Node.js backend + Frontend Nginx + CLB - Public access available at http://8.140.53.236/ Major Achievements: 1. Python microservice deployed (v1.0, internal IP: 172.17.173.66:8000) 2. Node.js backend deployed (v1.3, internal IP: 172.17.173.73:3001) - Fixed 4 critical issues: bash path, config directory, pino-pretty, ES Module 3. Frontend Nginx deployed (v1.0, internal IP: 172.17.173.72:80) 4. CLB load balancer configured (public IP: 8.140.53.236) New Documentation (9 docs): - 11-Node.js backend SAE deployment config checklist (21 env vars) - 12-Node.js backend SAE deployment operation manual - 13-Node.js backend image fix record (config directory) - 14-Node.js backend pino-pretty fix - 15-Node.js backend deployment success summary - 16-Frontend Nginx deployment success summary - 17-Complete deployment practical manual 2025 edition (1800 lines) - 18-Deployment documentation usage guide - 19-Daily update quick operation manual (670 lines) Key Fixes: - Environment variable name correction: EXTRACTION_SERVICE_URL (not PYTHON_SERVICE_URL) - Dockerfile fix: added COPY config ./config - Logger configuration: conditional pino-pretty for dev only - Health check fix: ES Module compatibility (require -> import) Updated Files: - System status document updated with full deployment info - Deployment progress overview updated with latest IPs - All 3 Docker services' Dockerfiles and configs refined Verification: - All health checks passed - Tool C 7 features working correctly - Literature screening module functional - Response time < 1 second BREAKING CHANGE: Node.js backend internal IP changed from 172.17.173.71 to 172.17.173.73 Closes #deployment-milestone
151 lines
4.1 KiB
PowerShell
151 lines
4.1 KiB
PowerShell
# ===================================================================
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# AI临床研究平台 - SAE部署自动化脚本
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# ===================================================================
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# 用途:自动构建Docker镜像并推送到阿里云容器镜像服务
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# 使用方法:.\deploy-to-sae.ps1 -Version "v1.0.0"
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# 作者:技术架构师
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# 日期:2025-12-11
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# ===================================================================
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param(
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[Parameter(Mandatory=$true)]
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[string]$Version,
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[Parameter(Mandatory=$false)]
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[string]$Registry = "registry.cn-hangzhou.aliyuncs.com",
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[Parameter(Mandatory=$false)]
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[string]$Namespace = "aiclinical",
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[Parameter(Mandatory=$false)]
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[string]$Repository = "backend-dev"
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)
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# 颜色输出函数
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function Write-ColorOutput($ForegroundColor) {
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$fc = $host.UI.RawUI.ForegroundColor
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$host.UI.RawUI.ForegroundColor = $ForegroundColor
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if ($args) {
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Write-Output $args
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}
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$host.UI.RawUI.ForegroundColor = $fc
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}
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# 标题
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Write-ColorOutput Cyan "================================================"
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Write-ColorOutput Cyan " AI临床研究平台 - SAE部署脚本"
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Write-ColorOutput Cyan "================================================"
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Write-Host ""
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# 检查Docker是否运行
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Write-ColorOutput Yellow "🔍 检查Docker状态..."
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try {
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docker ps > $null 2>&1
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if ($LASTEXITCODE -ne 0) {
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Write-ColorOutput Red "❌ Docker未运行,请先启动Docker Desktop"
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exit 1
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}
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Write-ColorOutput Green "✅ Docker运行正常"
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} catch {
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Write-ColorOutput Red "❌ Docker未安装或未运行"
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exit 1
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}
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# 构建镜像
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Write-Host ""
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Write-ColorOutput Yellow "🔨 开始构建Docker镜像..."
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Write-Host "版本: $Version"
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Write-Host "目录: backend/"
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Write-Host ""
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Set-Location backend
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$imageName = "aiclinical-backend"
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$fullImageName = "${Registry}/${Namespace}/${Repository}:${Version}"
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Write-ColorOutput Cyan "执行: docker build -t ${imageName}:${Version} ."
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docker build -t "${imageName}:${Version}" .
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if ($LASTEXITCODE -ne 0) {
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Write-ColorOutput Red "❌ Docker镜像构建失败"
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exit 1
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}
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Write-ColorOutput Green "✅ Docker镜像构建成功"
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# 打标签
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Write-Host ""
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Write-ColorOutput Yellow "🏷️ 为镜像打标签..."
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Write-ColorOutput Cyan "执行: docker tag ${imageName}:${Version} ${fullImageName}"
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docker tag "${imageName}:${Version}" $fullImageName
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if ($LASTEXITCODE -ne 0) {
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Write-ColorOutput Red "❌ 打标签失败"
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exit 1
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}
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Write-ColorOutput Green "✅ 标签创建成功"
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# 推送镜像
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Write-Host ""
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Write-ColorOutput Yellow "📤 推送镜像到阿里云..."
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Write-Host "目标仓库: $fullImageName"
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Write-Host ""
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Write-ColorOutput Cyan "提示:如果提示需要登录,请执行以下命令:"
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Write-ColorOutput Cyan "docker login --username=<你的阿里云账号> ${Registry}"
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Write-Host ""
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Write-ColorOutput Cyan "执行: docker push ${fullImageName}"
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docker push $fullImageName
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if ($LASTEXITCODE -ne 0) {
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Write-ColorOutput Red "❌ 镜像推送失败"
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Write-ColorOutput Yellow "请检查:"
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Write-Host " 1. 是否已登录阿里云容器镜像服务"
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Write-Host " 2. 命名空间和仓库名称是否正确"
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Write-Host " 3. 网络连接是否正常"
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exit 1
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}
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Write-ColorOutput Green "✅ 镜像推送成功"
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# 完成
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Write-Host ""
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Write-ColorOutput Cyan "================================================"
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Write-ColorOutput Green "🎉 部署准备完成!"
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Write-ColorOutput Cyan "================================================"
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Write-Host ""
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Write-Host "镜像信息:"
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Write-ColorOutput Cyan " 完整地址: $fullImageName"
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Write-ColorOutput Cyan " 版本号: $Version"
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Write-Host ""
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Write-Host "下一步操作:"
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Write-Host " 1. 登录阿里云SAE控制台"
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Write-Host " 2. 进入应用 '${Repository}'"
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Write-Host " 3. 点击'部署应用'"
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Write-Host " 4. 选择镜像版本: $Version"
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Write-Host " 5. 点击'确定'开始部署"
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Write-Host ""
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Write-ColorOutput Cyan "部署文档: docs/05-部署文档/02-SAE部署完全指南(产品经理版).md"
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Write-Host ""
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Set-Location ..
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