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
63 lines
1.0 KiB
Markdown
63 lines
1.0 KiB
Markdown
# ⚠️ 重要:需要重启服务器
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## 修改内容
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- ✅ 添加XML格式支持
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- ✅ 更新消息处理逻辑
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- ✅ 添加XML内容解析器
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## 重启步骤
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1. **停止当前服务器**
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```
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按 Ctrl+C(在运行服务器的终端中)
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```
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2. **重新启动服务器**
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```powershell
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cd D:\MyCursor\AIclinicalresearch\backend
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npm run dev
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```
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3. **确认日志**
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应该看到:
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```
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✅ 微信服务号回调控制器已初始化(明文模式)
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Registered route: GET /wechat/patient/callback-plain (明文模式)
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Registered route: POST /wechat/patient/callback-plain (明文模式, XML)
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```
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## 微信公众平台配置
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| 配置项 | 值 |
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|--------|-----|
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| **URL** | `https://devlocal.xunzhengyixue.com/wechat/patient/callback-plain` |
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| **Token** | `IitPatientWechat2026JanToken` |
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| **消息加解密方式** | **明文模式** |
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| **数据格式** | **XML** ⚠️ 必须选择XML! |
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---
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**重启服务器后,即可在微信公众平台提交配置!**
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