Commit Graph

3 Commits

Author SHA1 Message Date
dfc472810b feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval
Completed features:
- Created Dify dataset (Dify_test0102) with 2 processed documents
- Linked test0102 project with Dify dataset ID
- Extended intent detection to recognize query_protocol intent
- Implemented queryDifyKnowledge method (semantic search Top 5)
- Integrated hybrid retrieval (REDCap data + Dify documents)
- Fixed AI hallucination bugs (intent detection + API field path)
- Developed debugging scripts
- Completed end-to-end testing (5 scenarios passed)
- Generated comprehensive documentation (600+ lines)
- Updated development plans and module status

Technical highlights:
- Single project single knowledge base architecture
- Smart routing based on user intent
- Prevent AI hallucination by injecting real data/documents
- Session memory for multi-turn conversations
- Reused LLMFactory for DeepSeek-V3 integration

Bug fixes:
- Fixed intent detection missing keywords
- Fixed Dify API response field path error

Testing: All scenarios verified in WeChat production environment

Status: Fully tested and deployed
2026-01-04 15:44:11 +08:00
b47079b387 feat(iit): Phase 1.5 AI对话集成REDCap真实数据完成
- feat: ChatService集成DeepSeek-V3实现AI对话(390行)
- feat: SessionMemory实现上下文记忆(最近3轮对话,170行)
- feat: 意图识别支持REDCap数据查询(关键词匹配)
- feat: REDCap数据注入LLM(queryRedcapRecord, countRedcapRecords, getProjectInfo)
- feat: 解决LLM幻觉问题(基于真实数据回答,明确system prompt)
- feat: 即时反馈(正在查询...提示)
- test: REDCap查询测试通过(test0102项目,10条记录,ID 7患者详情)
- docs: 创建Phase1.5开发完成记录(313行)
- docs: 更新Phase1.5开发计划(标记完成)
- docs: 更新MVP开发任务清单(Phase 1.5完成)
- docs: 更新模块当前状态(60%完成度)
- docs: 更新系统总体设计文档(v2.6)
- chore: 删除测试脚本(test-redcap-query-for-ai.ts, check-env-config.ts)
- chore: 移除REDCap测试环境变量(REDCAP_TEST_*)

技术亮点:
- AI基于REDCap真实数据对话,不编造信息
- 从数据库读取项目配置,不使用环境变量
- 企业微信端测试通过,用户体验良好

测试通过:
-  查询项目记录总数(10条)
-  查询特定患者详情(ID 7)
-  项目信息查询
-  上下文记忆(3轮对话)
-  即时反馈提示

影响范围:IIT Manager Agent模块
2026-01-03 22:48:10 +08:00
4794640f5d feat(iit): Phase 1.5 AI对话能力集成 - 复用通用能力层LLMFactory
新增功能
- SessionMemory: 会话记忆管理器(存储最近3轮对话)
- ChatService: AI对话服务(复用LLMFactory,支持DeepSeek-V3)
- WechatCallbackController: 集成AI对话 + '正在查询'即时反馈

 技术亮点
- 复用通用能力层LLMFactory(零配置,单例模式)
- 上下文记忆(SessionMemory,Node.js内存,自动清理过期会话)
- 即时反馈(立即回复'正在查询,请稍候...',规避5秒超时)
- 极简MVP(<300行代码,1天完成)

 文档更新
- Phase1.5开发计划文档(反映通用能力层复用优势)

 完成度
- Phase 1.5核心功能:100%
- 预估工作量:2-3天  实际:1天(LLM调用层已完善)

Scope: iit-manager
2026-01-03 16:42:46 +08:00