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60014b57b5753a9d20bf8e61703ffbd0e91b8aba
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7 Commits

Author SHA1 Message Date
AI Clinical Dev Team
60014b57b5 feat: complete Day 21-24 knowledge base features 
- Day 21-22: fix CORS and file upload issues
- Day 23-24: implement @knowledge base search and conversation integration
- Backend: integrate Dify RAG into conversation system
- Frontend: load knowledge base list and @ reference feature
 2025-10-11 17:08:12 +08:00
AI Clinical Dev Team
239c7ea85e feat: Day 21-22 - knowledge base frontend completed, fix CORS and file upload issues 
- Complete knowledge base list and detail pages
- Complete document upload component
- Fix CORS config (add PUT/DELETE method support)
- Fix file upload issues (disabled state and beforeUpload return value)
- Add detailed debug logs (cleaned up)
- Create Day 21-22 completion summary document
 2025-10-11 15:40:12 +08:00
AI Clinical Dev Team
b26700a7d5 feat(backend): implement knowledge base management backend API 2025-10-11 11:32:47 +08:00
AI Clinical Dev Team
8afff23995 docs: Day 12-13 completion summary and milestone update 2025-10-10 20:33:18 +08:00
AI Clinical Dev Team
864a0b1906 feat: Day 10-11 - Agent Configuration System completed 
Backend:
- Create agents.yaml config file with 12 agents definition
- Create Prompt templates for topic-evaluation agent
- Implement agentService.ts for loading and managing agent configs
- Create agentController.ts with CRUD operations
- Create agent routes (GET /agents, /agents/:id, etc.)
- Register agent routes in main server

Frontend:
- Create agentApi.ts service module
- Update AgentChatPage to dynamically load agent config from API
- Add loading state and error handling
- Display agent details (description, category, model)

Build: Both frontend and backend build successfully
 2025-10-10 20:13:08 +08:00
AI Clinical Dev Team
b72167f73e feat: Day 8-9 - Project Management API completed 
Backend:
- Create project routes (GET, POST, PUT, DELETE)
- Implement projectController with CRUD operations
- Create projectService for database operations
- Add validation middleware for request validation
- Update Prisma schema (add background, researchType, deletedAt fields)
- Implement soft delete for projects

Frontend:
- Create projectApi service module
- Update useProjectStore with fetchProjects and loading state
- Connect ProjectSelector to real API with loading indicator
- Connect CreateProjectDialog to real API with error handling
- Connect EditProjectDialog to real API with loading state
- Add comprehensive error handling and user feedback

Build: Both frontend and backend build successfully
 2025-10-10 19:38:49 +08:00
AI Clinical Dev Team
39e14cfb97 feat(backend): Day 5 - backend basic architecture setup completed 2025-10-10 15:56:45 +08:00