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
57 lines
1.8 KiB
Docker
57 lines
1.8 KiB
Docker
# ========================================
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# 多阶段构建：Python微服务
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# ========================================
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# -------------------- 阶段1: 构建阶段 --------------------
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FROM python:3-slim AS builder
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# 设置工作目录
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WORKDIR /app
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# 替换为阿里云镜像源（为将来可能的构建依赖做准备）
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RUN sed -i 's|http://deb.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources \
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&& sed -i 's|http://security.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources
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# 复制依赖文件
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COPY requirements-prod.txt .
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# 安装Python依赖到临时目录（使用预编译wheel，无需编译依赖）
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RUN pip install --no-cache-dir --user -r requirements-prod.txt
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# -------------------- 阶段2: 运行阶段 --------------------
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FROM python:3-slim
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# 设置工作目录
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WORKDIR /app
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# 替换为阿里云镜像源并安装运行时依赖
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RUN sed -i 's|http://deb.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources \
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&& sed -i 's|http://security.debian.org|http://mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources \
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&& apt-get update \
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&& apt-get install -y --no-install-recommends \
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libgl1 \
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libglib2.0-0 \
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libgomp1 \
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&& rm -rf /var/lib/apt/lists/*
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# 从构建阶段复制Python包
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COPY --from=builder /root/.local /root/.local
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# 复制应用代码
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COPY . .
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# 设置Python路径
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ENV PATH=/root/.local/bin:$PATH
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ENV PYTHONUNBUFFERED=1
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# 暴露端口
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EXPOSE 8000
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
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CMD python -c "import requests; requests.get('http://localhost:8000/api/health', timeout=5)"
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# 启动命令
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]
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