Files
AIclinicalresearch/deploy-to-sae.ps1
HaHafeng decff0bb1f docs(deploy): Complete full system deployment to Aliyun SAE
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
2025-12-25 21:24:37 +08:00

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# ===================================================================
# AI临床研究平台 - SAE部署自动化脚本
# ===================================================================
# 用途自动构建Docker镜像并推送到阿里云容器镜像服务
# 使用方法:.\deploy-to-sae.ps1 -Version "v1.0.0"
# 作者:技术架构师
# 日期2025-12-11
# ===================================================================
param(
[Parameter(Mandatory=$true)]
[string]$Version,
[Parameter(Mandatory=$false)]
[string]$Registry = "registry.cn-hangzhou.aliyuncs.com",
[Parameter(Mandatory=$false)]
[string]$Namespace = "aiclinical",
[Parameter(Mandatory=$false)]
[string]$Repository = "backend-dev"
)
# 颜色输出函数
function Write-ColorOutput($ForegroundColor) {
$fc = $host.UI.RawUI.ForegroundColor
$host.UI.RawUI.ForegroundColor = $ForegroundColor
if ($args) {
Write-Output $args
}
$host.UI.RawUI.ForegroundColor = $fc
}
# 标题
Write-ColorOutput Cyan "================================================"
Write-ColorOutput Cyan " AI临床研究平台 - SAE部署脚本"
Write-ColorOutput Cyan "================================================"
Write-Host ""
# 检查Docker是否运行
Write-ColorOutput Yellow "🔍 检查Docker状态..."
try {
docker ps > $null 2>&1
if ($LASTEXITCODE -ne 0) {
Write-ColorOutput Red "❌ Docker未运行请先启动Docker Desktop"
exit 1
}
Write-ColorOutput Green "✅ Docker运行正常"
} catch {
Write-ColorOutput Red "❌ Docker未安装或未运行"
exit 1
}
# 构建镜像
Write-Host ""
Write-ColorOutput Yellow "🔨 开始构建Docker镜像..."
Write-Host "版本: $Version"
Write-Host "目录: backend/"
Write-Host ""
Set-Location backend
$imageName = "aiclinical-backend"
$fullImageName = "${Registry}/${Namespace}/${Repository}:${Version}"
Write-ColorOutput Cyan "执行: docker build -t ${imageName}:${Version} ."
docker build -t "${imageName}:${Version}" .
if ($LASTEXITCODE -ne 0) {
Write-ColorOutput Red "❌ Docker镜像构建失败"
exit 1
}
Write-ColorOutput Green "✅ Docker镜像构建成功"
# 打标签
Write-Host ""
Write-ColorOutput Yellow "🏷️ 为镜像打标签..."
Write-ColorOutput Cyan "执行: docker tag ${imageName}:${Version} ${fullImageName}"
docker tag "${imageName}:${Version}" $fullImageName
if ($LASTEXITCODE -ne 0) {
Write-ColorOutput Red "❌ 打标签失败"
exit 1
}
Write-ColorOutput Green "✅ 标签创建成功"
# 推送镜像
Write-Host ""
Write-ColorOutput Yellow "📤 推送镜像到阿里云..."
Write-Host "目标仓库: $fullImageName"
Write-Host ""
Write-ColorOutput Cyan "提示:如果提示需要登录,请执行以下命令:"
Write-ColorOutput Cyan "docker login --username=<你的阿里云账号> ${Registry}"
Write-Host ""
Write-ColorOutput Cyan "执行: docker push ${fullImageName}"
docker push $fullImageName
if ($LASTEXITCODE -ne 0) {
Write-ColorOutput Red "❌ 镜像推送失败"
Write-ColorOutput Yellow "请检查:"
Write-Host " 1. 是否已登录阿里云容器镜像服务"
Write-Host " 2. 命名空间和仓库名称是否正确"
Write-Host " 3. 网络连接是否正常"
exit 1
}
Write-ColorOutput Green "✅ 镜像推送成功"
# 完成
Write-Host ""
Write-ColorOutput Cyan "================================================"
Write-ColorOutput Green "🎉 部署准备完成!"
Write-ColorOutput Cyan "================================================"
Write-Host ""
Write-Host "镜像信息:"
Write-ColorOutput Cyan " 完整地址: $fullImageName"
Write-ColorOutput Cyan " 版本号: $Version"
Write-Host ""
Write-Host "下一步操作:"
Write-Host " 1. 登录阿里云SAE控制台"
Write-Host " 2. 进入应用 '${Repository}'"
Write-Host " 3. 点击'部署应用'"
Write-Host " 4. 选择镜像版本: $Version"
Write-Host " 5. 点击'确定'开始部署"
Write-Host ""
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"
Write-Host ""
Set-Location ..