HaHafeng
b64896a307
Summary: - PostgreSQL database migration to RDS completed (90MB SQL, 11 schemas) - Frontend Nginx Docker image built and pushed to ACR (v1.0, ~50MB) - Python microservice Docker image built and pushed to ACR (v1.0, 1.12GB) - Created 3 deployment documentation files Docker Configuration Files: - frontend-v2/Dockerfile: Multi-stage build with nginx:alpine - frontend-v2/.dockerignore: Optimize build context - frontend-v2/nginx.conf: SPA routing and API proxy - frontend-v2/docker-entrypoint.sh: Dynamic env injection - extraction_service/Dockerfile: Multi-stage build with Aliyun Debian mirror - extraction_service/.dockerignore: Optimize build context - extraction_service/requirements-prod.txt: Production dependencies (removed Nougat) Deployment Documentation: - docs/05-部署文档/00-部署进度总览.md: One-stop deployment status overview - docs/05-部署文档/07-前端Nginx-SAE部署操作手册.md: Frontend deployment guide - docs/05-部署文档/08-PostgreSQL数据库部署操作手册.md: Database deployment guide - docs/00-系统总体设计/00-系统当前状态与开发指南.md: Updated with deployment status Database Migration: - RDS instance: pgm-2zex1m2y3r23hdn5 (2C4G, PostgreSQL 15.0) - Database: ai_clinical_research - Schemas: 11 business schemas migrated successfully - Data: 3 users, 2 projects, 1204 literatures verified - Backup: rds_init_20251224_154529.sql (90MB) Docker Images: - Frontend: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/ai-clinical_frontend-nginx:v1.0 - Python: crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/python-extraction:v1.0 Key Achievements: - Resolved Docker Hub network issues (using generic tags) - Fixed 30 TypeScript compilation errors - Removed Nougat OCR to reduce image size by 1.5GB - Used Aliyun Debian mirror to resolve apt-get network issues - Implemented multi-stage builds for optimization Next Steps: - Deploy Python microservice to SAE - Build Node.js backend Docker image - Deploy Node.js backend to SAE - Deploy frontend Nginx to SAE - End-to-end verification testing Status: Docker images ready, SAE deployment pending
AI临床研究平台 - 后端服务
🏠 导航
快速开始
1. 环境要求
- Node.js >= 18
- PostgreSQL 15+
- Redis 7+
2. 安装依赖
npm install
3. 配置环境变量
复制.env.example到.env并配置：
cp .env.example .env
4. 初始化数据库
# 生成Prisma Client
npm run prisma:generate
# 执行数据库迁移
npm run prisma:migrate
# （可选）打开Prisma Studio查看数据
npm run prisma:studio
5. 启动开发服务器
npm run dev
服务器将在 http://localhost:3001 启动
6. 验证服务
访问以下端点验证服务是否正常：
- 健康检查: http://localhost:3001/health
- API入口: http://localhost:3001/api/v1
项目结构
backend/
├── prisma/
│ └── schema.prisma # 数据库模型定义
├── src/
│ ├── config/
│ │ ├── env.ts # 环境变量配置
│ │ └── database.ts # 数据库连接
│ ├── controllers/ # 控制器层
│ ├── services/ # 业务逻辑层
│ ├── routes/ # 路由定义
│ ├── types/ # TypeScript类型定义
│ ├── utils/ # 工具函数
│ └── index.ts # 应用入口
├── .env # 环境变量（不提交到Git）
├── .env.example # 环境变量模板
├── package.json # 项目配置
└── tsconfig.json # TypeScript配置
NPM Scripts
npm run dev- 启动开发服务器（hot reload）npm run build- 构建生产版本npm run start- 启动生产服务器npm run prisma:generate- 生成Prisma Clientnpm run prisma:migrate- 执行数据库迁移npm run prisma:studio- 打开Prisma Studio
数据库设计
详见：../docs/01-设计文档/数据库设计文档.md
API文档
详见：../docs/01-设计文档/API设计规范.md
技术栈
- 框架: Fastify
- ORM: Prisma
- 数据库: PostgreSQL
- 缓存: Redis
- 语言: TypeScript
- 日志: Pino
Day 5 完成情况
✅ 初始化后端项目（Node.js + TypeScript） ✅ 配置Fastify框架 ✅ 配置Prisma ORM ✅ 创建数据库表（执行迁移） ✅ 数据库连接测试通过
所有核心功能已完成！🎉