Files
AIclinicalresearch/tests/QUICKSTART_快速开始.md
HaHafeng 19f9c5ea93 docs(deployment): Fix 8 critical deployment issues and enhance documentation
Summary of fixes:
- Fix service discovery address (change .sae domain to internal IP)
- Unify timezone configuration (Asia/Shanghai for all services)
- Enhance ECS security group configuration (Redis/Weaviate port binding)
- Add image pull strategy best practices
- Add Python service memory management guidelines
- Update Dify API Key deployment strategy (avoid deadlock)
- Add SSH tunnel for RDS database access
- Add NAT gateway cost optimization explanation

Modified files (7 docs):
- 00-部署架构总览.md (enhanced with 7 sections)
- 03-Dify-ECS部署完全指南.md (security hardening)
- 04-Python微服务-SAE容器部署指南.md (timezone + service discovery)
- 05-Node.js后端-SAE容器部署指南.md (timezone configuration)
- PostgreSQL部署策略-摸底报告.md (timezone best practice)
- 07-关键配置补充说明.md (3 new sections)
- 08-部署检查清单.md (service address fix)

New files:
- 文档修正报告-20251214.md (comprehensive fix report)
- Review documents from technical team

Impact:
- Fixed 3 P0/P1 critical issues (100% connection failure risk)
- Fixed 3 P2 important issues (stability and maintainability)
- Added 2 P3 best practices (developer convenience)

Status: All deployment documents reviewed and corrected, ready for production deployment
2025-12-14 13:25:28 +08:00

1.8 KiB
Raw Blame History

🚀 快速开始 - 1分钟运行测试

Windows用户

方法1双击运行最简单

  1. 双击 run_tests.bat
  2. 等待测试完成

方法2命令行

cd AIclinicalresearch\tests
run_tests.bat

Linux/Mac用户

cd AIclinicalresearch/tests
chmod +x run_tests.sh
./run_tests.sh

⚠️ 前提条件

必须先启动Python服务

# 打开新终端
cd AIclinicalresearch/extraction_service
python main.py

看到这行表示启动成功:

INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8001

📊 预期结果

全部通过

总测试数: 18
✅ 通过: 18
❌ 失败: 0
通过率: 100.0%

🎉 所有测试通过!

⚠️ 部分失败

  • 查看红色错误信息
  • 检查失败的具体测试
  • 查看Python服务日志

🎯 测试内容

  • 6种简单填补方法均值、中位数、众数、固定值、前向填充、后向填充
  • MICE多重插补单列、多列
  • 边界情况100%缺失、0%缺失、特殊字符)
  • 各种数据类型(数值、分类、混合)
  • 性能测试1000行数据

💡 提示

  • 第一次运行会自动安装依赖pandas, numpy, requests
  • 测试时间约 45-60 秒
  • 测试数据自动生成,无需手动准备
  • 颜色输出:绿色=通过,红色=失败,黄色=警告

🆘 遇到问题?

问题1无法连接到服务

解决确保Python服务在运行python main.py

问题2依赖安装失败

解决:手动安装 pip install pandas numpy requests

问题3测试失败

解决:查看错误信息,检查代码逻辑


准备好了吗?启动服务,运行测试! 🚀