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b31255031ebd7756a4232e2ecacb35ccf84cbbb6
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8 Commits

Author SHA1 Message Date
HaHafeng
b31255031e feat(iit-manager): Add WeChat Official Account integration for patient notifications 
Features:
- PatientWechatCallbackController for URL verification and message handling
- PatientWechatService for template and customer messages
- Support for secure mode (message encryption/decryption)
- Simplified route /wechat/patient/callback for WeChat config
- Event handlers for subscribe/unsubscribe/text messages
- Template message for visit reminders

Technical details:
- Reuse @wecom/crypto for encryption (compatible with Official Account)
- Relaxed Fastify schema validation to prevent early request blocking
- Access token caching (7000s with 5min pre-refresh)
- Comprehensive logging for debugging

Testing: Local URL verification passed, ready for SAE deployment

Status: Code complete, waiting for WeChat platform configuration
 2026-01-04 22:53:42 +08:00
HaHafeng
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
HaHafeng
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
HaHafeng
5f089516cb feat(iit-manager): Day 3 企业微信集成开发完成 
- 新增WechatService（企业微信推送服务，支持文本/卡片/Markdown消息）
- 新增WechatCallbackController（异步回复模式，5秒内响应）
- 完善iit_quality_check Worker（调用WechatService推送通知）
- 新增企业微信回调路由（GET验证+POST接收消息）
- 实现LLM意图识别（query_weekly_summary/query_patient_info等）
- 安装依赖：@wecom/crypto, xml2js
- 更新开发记录文档和MVP开发计划

技术要点：
- 使用异步回复模式规避企业微信5秒超时限制
- 使用@wecom/crypto官方库处理XML加解密
- 使用setImmediate实现后台异步处理
- 支持主动推送消息返回LLM处理结果
- 完善审计日志记录（WECHAT_NOTIFICATION_SENT/WECHAT_INTERACTION）

相关文档：
- docs/03-业务模块/IIT Manager Agent/06-开发记录/Day3-企业微信集成开发完成记录.md
- docs/03-业务模块/IIT Manager Agent/04-开发计划/最小MVP闭环开发计划.md
- docs/03-业务模块/IIT Manager Agent/00-模块当前状态与开发指南.md
 2026-01-03 09:39:39 +08:00
HaHafeng
bdfca32305 docs(iit): REDCap对接技术方案完成与模块状态更新 
- 新增《REDCap对接技术方案与实施指南》(1070行)
  - 确定DET+REST API技术方案(不使用External Module)
  - 完整RedcapAdapter/WebhookController/SyncManager代码设计
  - Day 2详细实施步骤与验收标准
- 更新《IIT Manager Agent模块当前状态与开发指南》
  - 记录REDCap本地环境部署完成(15.8.0)
  - 记录对接方案确定过程与技术决策
  - 更新Day 2工作计划(6个阶段详细清单)
  - 整体进度18%(Day 1完成+REDCap环境就绪)
- REDCap环境准备完成
  - 测试项目test0102(PID 16)创建成功
  - DET功能源码验证通过
  - 本地Docker环境稳定运行

技术方案:
- 实时触发: Data Entry Trigger (0秒延迟)
- 数据拉取: REST API exportRecords (增量同步)
- 轮询补充: pg-boss定时任务 (每30分钟)
- 可靠性: Webhook幂等性 + 轮询补充机制
 2026-01-02 14:30:38 +08:00
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
HaHafeng
4c5bb3d174 feat(iit): Initialize IIT Manager Agent MVP - Day 1 complete 
- Add iit_schema with 5 tables
- Create module structure and types (223 lines)
- WeChat integration verified (Access Token success)
- Update system docs to v2.4
- Add REDCap source folders to .gitignore
- Day 1/14 complete (11/11 tasks)
 2025-12-31 18:35:05 +08:00
HaHafeng
decff0bb1f docs(deploy): Complete full system deployment to Aliyun SAE 
Summary:
- Successfully deployed complete system to Aliyun SAE (2025-12-25)
- All services running: Python microservice + Node.js backend + Frontend Nginx + CLB
- Public access available at http://8.140.53.236/

Major Achievements:
1. Python microservice deployed (v1.0, internal IP: 172.17.173.66:8000)
2. Node.js backend deployed (v1.3, internal IP: 172.17.173.73:3001)
   - Fixed 4 critical issues: bash path, config directory, pino-pretty, ES Module
3. Frontend Nginx deployed (v1.0, internal IP: 172.17.173.72:80)
4. CLB load balancer configured (public IP: 8.140.53.236)

New Documentation (9 docs):
- 11-Node.js backend SAE deployment config checklist (21 env vars)
- 12-Node.js backend SAE deployment operation manual
- 13-Node.js backend image fix record (config directory)
- 14-Node.js backend pino-pretty fix
- 15-Node.js backend deployment success summary
- 16-Frontend Nginx deployment success summary
- 17-Complete deployment practical manual 2025 edition (1800 lines)
- 18-Deployment documentation usage guide
- 19-Daily update quick operation manual (670 lines)

Key Fixes:
- Environment variable name correction: EXTRACTION_SERVICE_URL (not PYTHON_SERVICE_URL)
- Dockerfile fix: added COPY config ./config
- Logger configuration: conditional pino-pretty for dev only
- Health check fix: ES Module compatibility (require -> import)

Updated Files:
- System status document updated with full deployment info
- Deployment progress overview updated with latest IPs
- All 3 Docker services' Dockerfiles and configs refined

Verification:
- All health checks passed
- Tool C 7 features working correctly
- Literature screening module functional
- Response time < 1 second

BREAKING CHANGE: Node.js backend internal IP changed from 172.17.173.71 to 172.17.173.73

Closes #deployment-milestone
 2025-12-25 21:24:37 +08:00