Commit Graph

9 Commits

Author SHA1 Message Date
AI Clinical Dev Team
6e8b43f6df fix: use correct mock user ID in conversation controller
Changed userId from '1' to 'user-mock-001' in all conversation controller methods to match the actual mock user created in database.

This fixes the 400 error when creating conversations.
2025-10-10 21:39:40 +08:00
AI Clinical Dev Team
96d9783242 fix: create mock user to resolve FK constraint issue
Issues fixed:
1. Frontend port is 3000 (not 5173)
2. Projects API returns 500 due to missing user
3. Foreign key constraint violation on projects_user_id_fkey

Solutions:
- Created create-mock-user.ts script
- Added user-mock-001 to database
- Created startup guide (娴嬭瘯鍜屽惎鍔?md)
- Created one-click launcher (涓€閿惎鍔?bat)
- Created diagnostic tool (璇婃柇闂.bat)

New files:
- backend/src/scripts/create-mock-user.ts
- 娴嬭瘯鍜屽惎鍔?md
- 涓€閿惎鍔?bat
- 璇婃柇闂.bat
2025-10-10 21:15:04 +08:00
AI Clinical Dev Team
8bd2b4fc54 fix: rename QWEN_API_KEY to DASHSCOPE_API_KEY for accuracy 2025-10-10 20:44:04 +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
6f451757f2 docs: optimize README navigation links 2025-10-10 17:44:15 +08:00
AI Clinical Dev Team
39e14cfb97 feat(backend): Day 5 - backend basic architecture setup completed 2025-10-10 15:56:45 +08:00
AI Clinical Dev Team
fa5b8b48ec feat(day4): complete environment setup - Docker services started successfully 2025-10-10 15:16:50 +08:00