Files
AIclinicalresearch/docs/03-业务模块/PKB-个人知识库/README.md
HaHafeng 8eef9e0544 feat(asl): Complete Week 4 - Results display and Excel export with hybrid solution
Features:
- Backend statistics API (cloud-native Prisma aggregation)
- Results page with hybrid solution (AI consensus + human final decision)
- Excel export (frontend generation, zero disk write, cloud-native)
- PRISMA-style exclusion reason analysis with bar chart
- Batch selection and export (3 export methods)
- Fixed logic contradiction (inclusion does not show exclusion reason)
- Optimized table width (870px, no horizontal scroll)

Components:
- Backend: screeningController.ts - add getProjectStatistics API
- Frontend: ScreeningResults.tsx - complete results page (hybrid solution)
- Frontend: excelExport.ts - Excel export utility (40 columns full info)
- Frontend: ScreeningWorkbench.tsx - add navigation button
- Utils: get-test-projects.mjs - quick test tool

Architecture:
- Cloud-native: backend aggregation reduces network transfer
- Cloud-native: frontend Excel generation (zero file persistence)
- Reuse platform: global prisma instance, logger
- Performance: statistics API < 500ms, Excel export < 3s (1000 records)

Documentation:
- Update module status guide (add Week 4 features)
- Update task breakdown (mark Week 4 completed)
- Update API design spec (add statistics API)
- Update database design (add field usage notes)
- Create Week 4 development plan
- Create Week 4 completion report
- Create technical debt list

Test:
- End-to-end flow test passed
- All features verified
- Performance test passed
- Cloud-native compliance verified

Ref: Week 4 Development Plan
Scope: ASL Module MVP - Title Abstract Screening Results
Cloud-Native: Backend aggregation + Frontend Excel generation
2025-11-21 20:12:38 +08:00

72 lines
1.1 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# PKB - 个人知识库
> **模块代号:** PKB (Personal Knowledge Base)
> **开发状态:** ✅ 已完成
> **商业价值:** ⭐⭐⭐
> **独立性:** ⭐⭐⭐
---
## 📋 模块概述
个人知识库允许用户创建私人文献库并基于库内文献进行AI问答RAG
---
## 🎯 核心功能
### 已完成功能
1.**知识库CRUD** - 创建、查看、编辑、删除
2.**文档上传** - PDF、Word、TXT、Markdown
3.**RAG问答** - 基于知识库内容问答
4.**@知识库引用** - 智能引用系统100%准确溯源)
5.**配额管理** - 每用户3个知识库每库50个文档
---
## 📂 文档结构
```
PKB-个人知识库/
├── [AI对接] PKB快速上下文.md # ⏳ 待创建
├── 00-项目概述/
├── 01-设计文档/
└── README.md # ✅ 当前文档
```
---
## 🔗 依赖的通用能力
- **LLM网关** - RAG问答
- **文档处理引擎** - 文档文本提取
- **RAG引擎** - 向量检索
---
**最后更新:** 2025-11-06
**维护人:** 技术架构师