Files
AIclinicalresearch/deploy-to-sae.ps1
HaHafeng fa72beea6c feat(platform): Complete Postgres-Only architecture refactoring (Phase 1-7)
Major Changes:
- Implement Platform-Only architecture pattern (unified task management)
- Add PostgresCacheAdapter for unified caching (platform_schema.app_cache)
- Add PgBossQueue for job queue management (platform_schema.job)
- Implement CheckpointService using job.data (generic for all modules)
- Add intelligent threshold-based dual-mode processing (THRESHOLD=50)
- Add task splitting mechanism (auto chunk size recommendation)
- Refactor ASL screening service with smart mode selection
- Refactor DC extraction service with smart mode selection
- Register workers for ASL and DC modules

Technical Highlights:
- All task management data stored in platform_schema.job.data (JSONB)
- Business tables remain clean (no task management fields)
- CheckpointService is generic (shared by all modules)
- Zero code duplication (DRY principle)
- Follows 3-layer architecture principle
- Zero additional cost (no Redis needed, save 8400 CNY/year)

Code Statistics:
- New code: ~1750 lines
- Modified code: ~500 lines
- Test code: ~1800 lines
- Documentation: ~3000 lines

Testing:
- Unit tests: 8/8 passed
- Integration tests: 2/2 passed
- Architecture validation: passed
- Linter errors: 0

Files:
- Platform layer: PostgresCacheAdapter, PgBossQueue, CheckpointService, utils
- ASL module: screeningService, screeningWorker
- DC module: ExtractionController, extractionWorker
- Tests: 11 test files
- Docs: Updated 4 key documents

Status: Phase 1-7 completed, Phase 8-9 pending
2025-12-13 16:10:04 +08:00

137 lines
4.0 KiB
PowerShell
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# ===================================================================
# 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 ..