0c5310fb77
refactor(backend): incremental architecture evolution (Task 19)
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- Add common/ layer for shared capabilities (LLM, RAG, document, middleware)
- Add legacy/ layer for existing business code
- Move files to new structure (controllers, routes, services)
- Update index.ts for new route registration
- System remains fully functional
2025-11-16 15:42:44 +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
8a4c703128
feat: complete Dify client implementation (Day 19)
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## Dify 瀹㈡埛绔皝瑁呭畬鎴?鉁?
### 瀹屾垚鐨勫伐浣?
1. 绫诲瀷瀹氫箟 (backend/src/clients/types.ts)
- Dataset, Document, Retrieval 鐩稿叧绫诲瀷
- 瀹屾暣鐨?TypeScript 绫诲瀷瀹氫箟
- 鑷畾涔?DifyError 閿欒绫?
2. DifyClient 鏍稿績绫?(backend/src/clients/DifyClient.ts)
- 鐭ヨ瘑搴撶鐞? createDataset, getDatasets, getDataset, deleteDataset
- 鏂囨。绠＄悊: uploadDocumentDirectly, getDocuments, getDocument, deleteDocument
- 鐭ヨ瘑搴撴绱? retrieveKnowledge (鏀寔璇箟鎼滅储銆乼op_k銆佺浉浼煎害闃堝€?
- 杈呭姪鏂规硶: waitForDocumentProcessing, uploadAndProcessDocument
3. 娴嬭瘯鑴氭湰 (backend/src/scripts/test-dify-client.ts)
- 8椤瑰畬鏁存祴璇曞叏閮ㄩ€氳繃
- 娴嬭瘯鑰楁椂绾?5绉? - 楠岃瘉鎵€鏈堿PI鍔熻兘姝ｅ父
### 娴嬭瘯缁撴灉
鉁?娴嬭瘯1: 鍒涘缓鐭ヨ瘑搴?鉁?娴嬭瘯2: 鑾峰彇鐭ヨ瘑搴撳垪琛?(鎵惧埌3涓?
鉁?娴嬭瘯3: 鑾峰彇鐭ヨ瘑搴撹鎯?鉁?娴嬭瘯4: 涓婁紶鏂囨。 (247 tokens)
鉁?娴嬭瘯5: 鑾峰彇鏂囨。鍒楄〃
鉁?娴嬭瘯6: 鐭ヨ瘑搴撴绱?(鐩镐技搴?.4420)
鉁?娴嬭瘯7: 鍒犻櫎鏂囨。
鉁?娴嬭瘯8: 鍒犻櫎鐭ヨ瘑搴?
### 鎶€鏈寒鐐?
- 瀹屽杽鐨勯敊璇鐞嗘満鍒?(axios 鎷︽埅鍣?
- 鏅鸿兘杞绛夊緟鏂囨。澶勭悊瀹屾垚
- FormData 鏂囦欢涓婁紶鏀寔
- 鍗曚緥妯″紡瀵煎嚭
- 鏀寔鑷畾涔夐厤缃?
### 渚濊禆鏇存柊
- form-data: ^4.0.0
- @types/form-data: ^2.5.0
### 閰嶇疆鏇存柊
- DIFY_API_KEY 鏇存柊涓烘湇鍔PI瀵嗛挜
- DIFY_API_URL=http://localhost/v1
### 鏂囨。鏇存柊
- 鏂板: docs/05-姣忔棩杩涘害/Day19-Dify瀹㈡埛绔皝瑁呭畬鎴?md
- 鏇存柊: docs/04-寮€鍙戣鍒?寮€鍙戦噷绋嬬.md (Day 19 鏍囪涓哄畬鎴?
### 涓嬩竴姝?
Day 20-22: 鐭ヨ瘑搴撶鐞嗗姛鑳?- 鏁版嵁搴撹〃璁捐 (KnowledgeBase, Document)
- 鍚庣 CRUD API
- 鍓嶇鐭ヨ瘑搴撶鐞嗛〉闈?- 鏂囨。涓婁紶缁勪欢
---
Progress: 閲岀▼纰?1 (MVP) 90% -> 鐭ヨ瘑搴撶鐞嗗紑鍙戜腑
2025-10-11 10:25:30 +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
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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
39e14cfb97
feat(backend): Day 5 - backend basic architecture setup completed
2025-10-10 15:56:45 +08:00
