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
66 lines
1.1 KiB
Batchfile
66 lines
1.1 KiB
Batchfile
@echo off
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REM Windows批处理脚本 - 运行缺失值处理功能测试
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echo ========================================
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echo 缺失值处理功能 - 自动化测试
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echo ========================================
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echo.
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REM 检查Python是否安装
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python --version >nul 2>&1
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if %errorlevel% neq 0 (
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echo [错误] Python未安装或不在PATH中
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pause
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exit /b 1
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)
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echo [1/3] 检查Python服务状态...
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curl -s http://localhost:8001/health >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] Python服务未运行,请先启动服务:
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echo cd extraction_service
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echo python main.py
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echo.
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pause
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exit /b 1
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)
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echo [OK] Python服务运行正常
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echo.
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echo [2/3] 检查依赖...
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python -c "import pandas, numpy, requests" >nul 2>&1
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if %errorlevel% neq 0 (
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echo [警告] 缺少依赖,正在安装...
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pip install pandas numpy requests
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)
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echo [OK] 依赖检查完成
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echo.
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echo [3/3] 运行测试...
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echo.
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python test_fillna_operations.py
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echo.
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echo ========================================
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echo 测试完成
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echo ========================================
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pause
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