Summary: - Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image - Successfully install and verify pgvector 0.8.1 extension - Create comprehensive Dify-to-pgvector migration plan - Update PKB module documentation with pgvector status - Update system documentation with pgvector integration Key changes: - docker-compose.yml: Switch to pgvector/pgvector:pg15 image - Add EkbDocument and EkbChunk data model design - Design R-C-R-G hybrid retrieval architecture - Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints) - Create detailed 10-day implementation roadmap Documentation updates: - PKB module status: pgvector RAG infrastructure ready - System status: pgvector 0.8.1 integrated - New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md) - New: Enterprise medical knowledge base solution V2 Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
152 lines
1.8 KiB
Markdown
152 lines
1.8 KiB
Markdown
# 🚀 快速开始 - 1分钟运行测试
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## Windows用户
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### 方法1:双击运行(最简单)
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1. 双击 `run_tests.bat`
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2. 等待测试完成
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### 方法2:命令行
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```cmd
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cd AIclinicalresearch\tests
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run_tests.bat
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```
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---
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## Linux/Mac用户
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```bash
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cd AIclinicalresearch/tests
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chmod +x run_tests.sh
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./run_tests.sh
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```
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---
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## ⚠️ 前提条件
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**必须先启动Python服务!**
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```bash
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# 打开新终端
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cd AIclinicalresearch/extraction_service
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python main.py
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```
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看到这行表示启动成功:
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```
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INFO: Application startup complete.
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INFO: Uvicorn running on http://0.0.0.0:8001
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```
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---
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## 📊 预期结果
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✅ **全部通过**:
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```
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总测试数: 18
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✅ 通过: 18
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❌ 失败: 0
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通过率: 100.0%
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🎉 所有测试通过!
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```
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⚠️ **部分失败**:
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- 查看红色错误信息
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- 检查失败的具体测试
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- 查看Python服务日志
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---
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## 🎯 测试内容
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- ✅ 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)
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- ✅ MICE多重插补(单列、多列)
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- ✅ 边界情况(100%缺失、0%缺失、特殊字符)
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- ✅ 各种数据类型(数值、分类、混合)
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- ✅ 性能测试(1000行数据)
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---
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## 💡 提示
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- **第一次运行**会自动安装依赖(pandas, numpy, requests)
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- **测试时间**约 45-60 秒
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- **测试数据**自动生成,无需手动准备
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- **颜色输出**:绿色=通过,红色=失败,黄色=警告
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---
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## 🆘 遇到问题?
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### 问题1:无法连接到服务
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**解决**:确保Python服务在运行(`python main.py`)
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### 问题2:依赖安装失败
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**解决**:手动安装 `pip install pandas numpy requests`
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### 问题3:测试失败
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**解决**:查看错误信息,检查代码逻辑
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---
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**准备好了吗?启动服务,运行测试!** 🚀
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