88cc049fb3
feat(asl): Complete Day 5 - Fulltext Screening Backend API Development
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- 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)
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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
8eef9e0544
feat(asl): Complete Week 4 - Results display and Excel export with hybrid solution
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Features:
- Backend statistics API (cloud-native Prisma aggregation)
- Results page with hybrid solution (AI consensus + human final decision)
- Excel export (frontend generation, zero disk write, cloud-native)
- PRISMA-style exclusion reason analysis with bar chart
- Batch selection and export (3 export methods)
- Fixed logic contradiction (inclusion does not show exclusion reason)
- Optimized table width (870px, no horizontal scroll)
Components:
- Backend: screeningController.ts - add getProjectStatistics API
- Frontend: ScreeningResults.tsx - complete results page (hybrid solution)
- Frontend: excelExport.ts - Excel export utility (40 columns full info)
- Frontend: ScreeningWorkbench.tsx - add navigation button
- Utils: get-test-projects.mjs - quick test tool
Architecture:
- Cloud-native: backend aggregation reduces network transfer
- Cloud-native: frontend Excel generation (zero file persistence)
- Reuse platform: global prisma instance, logger
- Performance: statistics API < 500ms, Excel export < 3s (1000 records)
Documentation:
- Update module status guide (add Week 4 features)
- Update task breakdown (mark Week 4 completed)
- Update API design spec (add statistics API)
- Update database design (add field usage notes)
- Create Week 4 development plan
- Create Week 4 completion report
- Create technical debt list
Test:
- End-to-end flow test passed
- All features verified
- Performance test passed
- Cloud-native compliance verified
Ref: Week 4 Development Plan
Scope: ASL Module MVP - Title Abstract Screening Results
Cloud-Native: Backend aggregation + Frontend Excel generation
2025-11-21 20:12:38 +08:00
2e8699c217
feat(asl): Week 2 Day 2 - Excel import with template download and intelligent dedup
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Features:
- feat: Excel template generation and download (with examples)
- feat: Excel file parsing in memory (cloud-native, no disk write)
- feat: Field validation (title + abstract required)
- feat: Smart deduplication (DOI priority + Title fallback)
- feat: Literature preview table with statistics
- feat: Complete submission flow (create project + import literatures)
Components:
- feat: Create excelUtils.ts with full Excel processing toolkit
- feat: Enhance TitleScreeningSettings page with upload/preview/submit
- feat: Update API interface signatures and export unified aslApi object
Dependencies:
- chore: Add xlsx library for Excel file processing
Ref: Week 2 Frontend Development - Day 2
Scope: ASL Module MVP - Title Abstract Screening
Cloud-Native: Memory parsing, no file persistence
2025-11-19 10:24:47 +08:00
3634933ece
refactor(asl): ASL frontend architecture refactoring with left navigation
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- 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
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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
5579ffa78e
feat(backend): add batch processing and review tasks modules
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- Add Prisma migrations for batch processing tables
- Add Prisma migrations for review tasks tables
- Add seed data for testing
- Add prompt templates for review (editorial, methodology)
- Add CloseAI configuration guide
- Add database validation scripts
2025-11-16 15:43:04 +08:00
AI Clinical Dev Team
239c7ea85e
feat: Day 21-22 - knowledge base frontend completed, fix CORS and file upload issues
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- 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
9acbb0ae2b
feat: complete Dify platform deployment (Day 18)
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## Dify 閮ㄧ讲瀹屾垚 鉁?
### 瀹屾垚鐨勫伐浣?1. Docker 闀滃儚鍔犻€熷櫒閰嶇疆
- 閰嶇疆 5 涓浗鍐呴暅鍍忔簮
- 澶у箙鎻愬崌涓嬭浇閫熷害鍜屾垚鍔熺巼
2. Dify 闀滃儚鎷夊彇 (鍏?11 涓湇鍔?
- langgenius/dify-api:1.9.1
- langgenius/dify-web:1.9.1
- postgres, redis, weaviate, nginx 绛? - 鎬诲ぇ灏忕害 2GB锛岃€楁椂绾?15 鍒嗛挓
3. Dify 鏈嶅姟鍚姩
- 鉁?nginx (80/443)
- 鉁?api, worker, worker_beat
- 鉁?web (3000)
- 鉁?db (PostgreSQL), redis
- 鉁?weaviate (鍚戦噺鏁版嵁搴?
- 鉁?sandbox, plugin_daemon, ssrf_proxy
4. Dify 鍒濆鍖栭厤缃? - 鍒涘缓绠＄悊鍛樿处鍙? - 鍒涘缓搴旂敤: AI Clinical Research
- 鑾峰彇 API Key: app-VZRn0vMXdmltEJkvatHVGv5j
5. 鍚庣鐜閰嶇疆
- DIFY_API_URL=http://localhost/v1
- DIFY_API_KEY 宸查厤缃?
### 鏂囨。鏇存柊
- 鏂板: docs/05-姣忔棩杩涘害/Day18-Dify閮ㄧ讲瀹屾垚.md
- 鏇存柊: docs/04-寮€鍙戣鍒?寮€鍙戦噷绋嬬.md (Day 18 鏍囪涓哄畬鎴?
### 涓嬩竴姝?Day 19-24: 鐭ヨ瘑搴撶郴缁熷紑鍙?- Dify 瀹㈡埛绔皝瑁?- 鐭ヨ瘑搴撶鐞?CRUD
- 鏂囨。涓婁紶涓庡鐞?- @鐭ヨ瘑搴撻泦鎴?- RAG 闂瓟楠岃瘉
---
Progress: 閲岀▼纰?1 (MVP) 85% -> 鐭ヨ瘑搴撶郴缁熷紑鍙戜腑
2025-10-11 08:58:41 +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
