Files
AIclinicalresearch/tests/QUICKSTART_快速开始.md
HaHafeng dac3cecf78 feat(iit): Complete IIT Manager Agent Day 1 - Environment initialization and WeChat integration
Summary:
- Complete IIT Manager Agent MVP Day 1 (12.5% progress)
- Database: Create iit_schema with 5 tables (IitProject, IitPendingAction, IitTaskRun, IitUserMapping, IitAuditLog)
- Backend: Add module structure (577 lines) and types (223 lines)
- WeChat: Configure Enterprise WeChat app (CorpID, AgentID, Secret)
- WeChat: Obtain web authorization and JS-SDK authorization
- WeChat: Configure trusted domain (iit.xunzhengyixue.com)
- Frontend: Deploy v1.2 with WeChat domain verification file
- Frontend: Fix CRLF issue in docker-entrypoint.sh (CRLF -> LF)
- Testing: 11/11 database CRUD tests passed
- Testing: Access Token retrieval test passed
- Docs: Create module status and development guide
- Docs: Update MVP task list with Day 1 completion
- Docs: Rename deployment doc to SAE real-time status record
- Deployment: Update frontend internal IP to 172.17.173.80

Technical Details:
- Prisma: Multi-schema support (iit_schema)
- pg-boss: Job queue integration prepared
- Taro 4.x: Framework selected for WeChat Mini Program
- Shadow State: Architecture foundation laid
- Docker: Fix entrypoint script line endings for Linux container

Status: Day 1/14 complete, ready for Day 2 REDCap integration
2026-01-01 14:32:58 +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! 🚀