feat(deploy): Complete PostgreSQL migration and Docker image build

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

frontend-v2/Dockerfile

@@ -0,0 +1,64 @@
+# ==================== 阶段 1: 构建阶段 ====================
+# ⚠️ 使用 Node Alpine 最新版（包含 Node 22+）
+FROM node:alpine AS builder
+
+# 设置工作目录
+WORKDIR /app
+
+# 1. 复制依赖文件
+COPY package*.json ./
+
+# 2. 安装依赖
+# 使用国内镜像加速（可选，如果网络慢可以取消注释）
+# RUN npm config set registry https://registry.npmmirror.com
+RUN npm ci --only=production=false
+
+# 3. 复制源代码
+COPY . .
+
+# 4. 构建生产版本
+# ⚠️ 注意：如果需要在构建时注入环境变量，在这里设置 ARG
+# ARG VITE_API_BASE_URL
+# ENV VITE_API_BASE_URL=$VITE_API_BASE_URL
+RUN npm run build
+
+# 验证构建产物
+RUN ls -la /app/dist/
+
+# ==================== 阶段 2: 运行阶段 ====================
+FROM nginx:alpine
+
+# 安装必要工具（包括时区数据）
+RUN apk add --no-cache \
+    bash \
+    gettext \
+    curl \
+    tzdata
+
+# 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）
+RUN cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
+    echo "Asia/Shanghai" > /etc/timezone
+
+# 创建 Nginx 配置目录
+RUN mkdir -p /etc/nginx/templates
+
+# 1. 复制 Nginx 配置模板（支持环境变量替换）
+COPY nginx.conf /etc/nginx/templates/nginx.conf.template
+
+# 2. 复制构建产物到 Nginx 默认目录
+COPY --from=builder /app/dist /usr/share/nginx/html
+
+# 3. 复制启动脚本
+COPY docker-entrypoint.sh /docker-entrypoint.sh
+RUN chmod +x /docker-entrypoint.sh
+
+# 健康检查
+HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
+  CMD curl -f http://localhost/health || exit 1
+
+# 暴露端口
+EXPOSE 80
+
+# 启动命令
+ENTRYPOINT ["/docker-entrypoint.sh"]
+