7a299e8562
feat(iit): Implement event-level QC architecture V3.1 with dynamic rule filtering, report deduplication and AI intent enhancement
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Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-08 21:22:11 +08:00
45c7b32dbb
docs(iit): Add QC system UI and LLM format optimization plan
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- Add development plan: 07-QC system UI and LLM format optimization
- Phase 1: PromptBuilder + XML clinical slice format (~5.5h)
- Phase 2: QC cockpit + stat cards + risk heatmap (~9.5h)
- Phase 3: Variable tagging system (~5h)
- Add CRA Agent design document and prototype
- Update module status: design 100%, code 45%
- Update system status: real-time QC complete + plan ready
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-08 09:59:44 +08:00
5db4a7064c
feat(iit): Implement real-time quality control system
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Summary:
- Add 4 new database tables: iit_field_metadata, iit_qc_logs, iit_record_summary, iit_qc_project_stats
- Implement pg-boss debounce mechanism in WebhookController
- Refactor QC Worker for dual output: QC logs + record summary
- Enhance HardRuleEngine to support form-based rule filtering
- Create QcService for QC data queries
- Optimize ChatService with new intents: query_enrollment, query_qc_status
- Add admin batch operations: one-click full QC + one-click full summary
- Create IIT Admin management module: project config, QC rules, user mapping
Status: Code complete, pending end-to-end testing
Co-authored-by: Cursor <cursoragent@cursor.com >
2026-02-07 21:56:11 +08:00
66255368b7
feat(admin): Add user management and upgrade to module permission system
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Features - User Management (Phase 4.1):
- Database: Add user_modules table for fine-grained module permissions
- Database: Add 4 user permissions (view/create/edit/delete) to role_permissions
- Backend: UserService (780 lines) - CRUD with tenant isolation
- Backend: UserController + UserRoutes (648 lines) - 13 API endpoints
- Backend: Batch import users from Excel
- Frontend: UserListPage (412 lines) - list/filter/search/pagination
- Frontend: UserFormPage (341 lines) - create/edit with module config
- Frontend: UserDetailPage (393 lines) - details/tenant/module management
- Frontend: 3 modal components (592 lines) - import/assign/configure
- API: GET/POST/PUT/DELETE /api/admin/users/* endpoints
Architecture Upgrade - Module Permission System:
- Backend: Add getUserModules() method in auth.service
- Backend: Login API returns modules array in user object
- Frontend: AuthContext adds hasModule() method
- Frontend: Navigation filters modules based on user.modules
- Frontend: RouteGuard checks requiredModule instead of requiredVersion
- Frontend: Remove deprecated version-based permission system
- UX: Only show accessible modules in navigation (clean UI)
- UX: Smart redirect after login (avoid 403 for regular users)
Fixes:
- Fix UTF-8 encoding corruption in ~100 docs files
- Fix pageSize type conversion in userService (String to Number)
- Fix authUser undefined error in TopNavigation
- Fix login redirect logic with role-based access check
- Update Git commit guidelines v1.2 with UTF-8 safety rules
Database Changes:
- CREATE TABLE user_modules (user_id, tenant_id, module_code, is_enabled)
- ADD UNIQUE CONSTRAINT (user_id, tenant_id, module_code)
- INSERT 4 permissions + role assignments
- UPDATE PUBLIC tenant with 8 module subscriptions
Technical:
- Backend: 5 new files (~2400 lines)
- Frontend: 10 new files (~2500 lines)
- Docs: 1 development record + 2 status updates + 1 guideline update
- Total: ~4900 lines of code
Status: User management 100% complete, module permission system operational
2026-01-16 13:42:10 +08:00
1b53ab9d52
feat(aia): Complete AIA V2.0 with universal streaming capabilities
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Major Changes:
- Add StreamingService with OpenAI Compatible format
- Upgrade Chat component V2 with Ant Design X integration
- Implement AIA module with 12 intelligent agents
- Update API routes to unified /api/v1 prefix
- Update system documentation
Backend (~1300 lines):
- common/streaming: OpenAI Compatible adapter
- modules/aia: 12 agents, conversation service, streaming integration
- Update route versions (RVW, PKB to v1)
Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace (100% prototype restoration)
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook
- Update API endpoints to v1
Documentation:
- AIA module status guide
- Universal capabilities catalog
- System overview updates
- All module documentation sync
Tested: Stream response verified, authentication working
Status: AIA V2.0 core completed (85%)
2026-01-14 19:15:01 +08:00
dfc472810b
feat(iit-manager): Integrate Dify knowledge base for hybrid retrieval
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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
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- 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
6a567f028f
feat(iit-manager): 完成MVP闭环 - 企业微信集成与端到端测试
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核心交付物:
- WechatService (314行): Access Token缓存 + 消息推送
- WechatCallbackController (501行): URL验证 + 消息接收
- 质控Worker完善: 质控逻辑 + 企业微信推送 + 审计日志
- Worker注册修复: initIitManager() 在启动时调用
- 数据库字段修复: action -> action_type
- 端到端测试通过: <2秒延迟, 100%成功率
性能指标:
- Webhook响应: 5.8ms (目标<10ms)
- Worker执行: ~50ms (目标<100ms)
- 端到端延迟: <2秒 (目标<5秒)
- 消息成功率: 100% (测试5次)
临时措施:
- UserID从环境变量获取 (Phase 2改进)
- 定时轮询暂时禁用 (Phase 2添加)
- 质控逻辑简化 (Phase 1.5集成Dify)
Closes #IIT-MVP-Day3
2026-01-03 14:19:08 +08:00
36ce1bbcb2
feat(iit): Complete Day 3 - WeChat Work integration and URL verification
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Summary:
- Implement WechatService (314 lines, push notifications)
- Implement WechatCallbackController (501 lines, async reply mode)
- Complete iit_quality_check Worker with WeChat notifications
- Configure WeChat routes (GET + POST /wechat/callback)
- Configure natapp tunnel for local development
- WeChat URL verification test passed
Technical Highlights:
- Async reply mode to avoid 5-second timeout
- Message encryption/decryption using @wecom/crypto
- Signature verification using getSignature
- natapp tunnel: https://iit.nat100.top
- Environment variables configuration completed
Technical Challenges Solved:
- Fix environment variable naming (WECHAT_CORP_SECRET)
- Fix @wecom/crypto import (createRequire for CommonJS)
- Fix decrypt function parameters (2 params, not 4)
- Fix Token character recognition (lowercase l vs digit 1)
- Regenerate EncodingAESKey (43 chars, correct format)
- Configure natapp for internal network penetration
Test Results:
- WeChat developer tool verification: PASSED
- Return status: request success
- HTTP 200, decrypted 23 characters correctly
- Backend logs: URL verification successful
Documentation:
- Add Day3 WeChat integration development record
- Update MVP development task list (Day 2-3 completed)
- Update module status guide (v1.2 -> v1.3)
- Overall completion: 35% -> 50%
Progress:
- Module completion: 35% -> 50%
- Day 3 development: COMPLETED
- Ready for end-to-end testing (REDCap -> WeChat)
2026-01-03 00:13:36 +08:00
2eef7522a1
feat(iit): Complete Day 2 - REDCap real-time integration
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Summary:
- Implement RedcapAdapter (271 lines, 7 API methods)
- Implement WebhookController (327 lines, <10ms response)
- Implement SyncManager (398 lines, incremental/full sync)
- Register Workers (iit_quality_check + iit_redcap_poll)
- Configure routes with form-urlencoded parser
- Add 3 integration test scripts (912 lines total)
- Complete development documentation
Technical Highlights:
- REDCap DET real-time trigger (0ms delay)
- Webhook + scheduled polling dual mechanism
- Form-urlencoded format support for REDCap DET
- Postgres-Only architecture with pg-boss queue
- Full compliance with team development standards
Test Results:
- Integration tests: 12/12 passed
- Real scenario validation: PASSED
- Performance: Webhook response <10ms
- Data accuracy: 100%
Progress:
- Module completion: 18% -> 35%
- Day 2 development: COMPLETED
- Production ready: YES
2026-01-02 18:20:18 +08:00
bdfca32305
docs(iit): REDCap对接技术方案完成与模块状态更新
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- 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
dac3cecf78
feat(iit): Complete IIT Manager Agent Day 1 - Environment initialization and WeChat integration
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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
