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
65 lines
1.7 KiB
Docker
65 lines
1.7 KiB
Docker
# ==================== 阶段 1: 构建阶段 ====================
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# ⚠️ 使用 Node Alpine 最新版（包含 Node 22+）
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FROM node:alpine AS builder
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# 设置工作目录
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WORKDIR /app
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# 1. 复制依赖文件
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COPY package*.json ./
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# 2. 安装依赖
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# 使用国内镜像加速（可选，如果网络慢可以取消注释）
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# RUN npm config set registry https://registry.npmmirror.com
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RUN npm ci --only=production=false
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# 3. 复制源代码
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COPY . .
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# 4. 构建生产版本
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# ⚠️ 注意：如果需要在构建时注入环境变量，在这里设置 ARG
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# ARG VITE_API_BASE_URL
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# ENV VITE_API_BASE_URL=$VITE_API_BASE_URL
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RUN npm run build
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# 验证构建产物
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RUN ls -la /app/dist/
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# ==================== 阶段 2: 运行阶段 ====================
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FROM nginx:alpine
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# 安装必要工具（包括时区数据）
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RUN apk add --no-cache \
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bash \
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gettext \
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curl \
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tzdata
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# 设置容器时区为上海（否则日志时间会比北京时间慢 8 小时）
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RUN cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
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echo "Asia/Shanghai" > /etc/timezone
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# 创建 Nginx 配置目录
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RUN mkdir -p /etc/nginx/templates
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# 1. 复制 Nginx 配置模板（支持环境变量替换）
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COPY nginx.conf /etc/nginx/templates/nginx.conf.template
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# 2. 复制构建产物到 Nginx 默认目录
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COPY --from=builder /app/dist /usr/share/nginx/html
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# 3. 复制启动脚本
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COPY docker-entrypoint.sh /docker-entrypoint.sh
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RUN chmod +x /docker-entrypoint.sh
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
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CMD curl -f http://localhost/health || exit 1
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# 暴露端口
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EXPOSE 80
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# 启动命令
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ENTRYPOINT ["/docker-entrypoint.sh"]
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