Commit Graph

10 Commits

Author SHA1 Message Date
88cc049fb3 feat(asl): Complete Day 5 - Fulltext Screening Backend API Development
- Implement 5 core API endpoints (create task, get progress, get results, update decision, export Excel)
- Add FulltextScreeningController with Zod validation (652 lines)
- Implement ExcelExporter service with 4-sheet report generation (352 lines)
- Register routes under /api/v1/asl/fulltext-screening
- Create 31 REST Client test cases
- Add automated integration test script
- Fix PDF extraction fallback mechanism in LLM12FieldsService
- Update API design documentation to v3.0
- Update development plan to v1.2
- Create Day 5 development record
- Clean up temporary test files
2025-11-23 10:52:07 +08:00
beb7f7f559 feat(asl): Implement full-text screening core LLM service and validation system (Day 1-3)
Core Components:
- PDFStorageService with Dify/OSS adapters
- LLM12FieldsService with Nougat-first + dual-model + 3-layer JSON parsing
- PromptBuilder for dynamic prompt assembly
- MedicalLogicValidator with 5 rules + fault tolerance
- EvidenceChainValidator for citation integrity
- ConflictDetectionService for dual-model comparison

Prompt Engineering:
- System Prompt (6601 chars, Section-Aware strategy)
- User Prompt template (PICOS context injection)
- JSON Schema (12 fields constraints)
- Cochrane standards (not loaded in MVP)

Key Innovations:
- 3-layer JSON parsing (JSON.parse + json-repair + code block extraction)
- Promise.allSettled for dual-model fault tolerance
- safeGetFieldValue for robust field extraction
- Mixed CN/EN token calculation

Integration Tests:
- integration-test.ts (full test)
- quick-test.ts (quick test)
- cached-result-test.ts (fault tolerance test)

Documentation Updates:
- Development record (Day 2-3 summary)
- Quality assurance strategy (full-text screening)
- Development plan (progress update)
- Module status (v1.1 update)
- Technical debt (10 new items)

Test Results:
- JSON parsing success rate: 100%
- Medical logic validation: 5/5 passed
- Dual-model parallel processing: OK
- Cost per PDF: CNY 0.10

Files: 238 changed, 14383 insertions(+), 32 deletions(-)
Docs: docs/03-涓氬姟妯″潡/ASL-AI鏅鸿兘鏂囩尞/05-寮€鍙戣褰?2025-11-22_Day2-Day3_LLM鏈嶅姟涓庨獙璇佺郴缁熷紑鍙?md
2025-11-22 22:21:12 +08:00
3634933ece refactor(asl): ASL frontend architecture refactoring with left navigation
- feat: Create ASLLayout component with 7-module left navigation
- feat: Implement Title Screening Settings page with optimized PICOS layout
- feat: Add placeholder pages for Workbench and Results
- fix: Fix nested routing structure for React Router v6
- fix: Resolve Spin component warning in MainLayout
- fix: Add QueryClientProvider to App.tsx
- style: Optimize PICOS form layout (P+I left, C+O+S right)
- style: Align Inclusion/Exclusion criteria side-by-side
- docs: Add architecture refactoring and routing fix reports

Ref: Week 2 Frontend Development
Scope: ASL module MVP - Title Abstract Screening
2025-11-18 21:51:51 +08:00
e3e7e028e8 feat(platform): Complete platform infrastructure implementation and verification
Platform Infrastructure - 8 Core Modules Completed:
- Storage Service (LocalAdapter + OSSAdapter stub)
- Logging System (Winston + JSON format)
- Cache Service (MemoryCache + Redis stub)
- Async Job Queue (MemoryQueue + DatabaseQueue stub)
- Health Check Endpoints (liveness/readiness/detailed)
- Database Connection Pool (with Serverless optimization)
- Environment Configuration Management
- Monitoring Metrics (DB connections/memory/API)

Key Features:
- Adapter Pattern for zero-code environment switching
- Full backward compatibility with legacy modules
- 100% test coverage (all 8 modules verified)
- Complete documentation (11 docs updated)

Technical Improvements:
- Fixed duplicate /health route registration issue
- Fixed TypeScript interface export (export type)
- Installed winston dependency
- Added structured logging with context support
- Implemented graceful shutdown for Serverless
- Added connection pool optimization for SAE

Documentation Updates:
- Platform infrastructure planning (04-骞冲彴鍩虹璁炬柦瑙勫垝.md)
- Implementation report (2025-11-17-骞冲彴鍩虹璁炬柦瀹炴柦瀹屾垚鎶ュ憡.md)
- Verification report (2025-11-17-骞冲彴鍩虹璁炬柦楠岃瘉鎶ュ憡.md)
- Git commit guidelines (06-Git鎻愪氦瑙勮寖.md) - Added commit frequency rules
- Updated 3 core architecture documents

Code Statistics:
- New code: 2,532 lines
- New files: 22
- Updated files: 130+
- Test pass rate: 100% (8/8 modules)

Deployment Readiness:
- Local environment: 鉁?Ready
- Cloud environment: 馃攧 Needs OSS/Redis dependencies

Next Steps:
- Ready to start ASL module development
- Can directly use storage/logger/cache/jobQueue

Tested: Local verification 100% passed
Related: #Platform-Infrastructure
2025-11-18 08:00:41 +08:00
0c5310fb77 refactor(backend): incremental architecture evolution (Task 19)
- 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)
## 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
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