Files
AIclinicalresearch/backend/package.json
HaHafeng 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

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JSON

{
"name": "ai-clinical-backend",
"version": "1.0.0",
"description": "AI Clinical Research Platform - Backend API",
"main": "dist/index.js",
"type": "module",
"scripts": {
"dev": "tsx watch src/index.ts",
"build": "tsc",
"start": "node dist/index.js",
"prisma:generate": "prisma generate",
"prisma:migrate": "prisma migrate dev",
"prisma:studio": "prisma studio",
"prisma:seed": "tsx prisma/seed.ts",
"test": "echo \"Error: no test specified\" && exit 1"
},
"prisma": {
"seed": "tsx prisma/seed.ts"
},
"keywords": [
"ai",
"clinical",
"research",
"medical"
],
"author": "AI Clinical Dev Team",
"license": "ISC",
"dependencies": {
"@fastify/cors": "^11.1.0",
"@fastify/jwt": "^10.0.0",
"@fastify/multipart": "^9.2.1",
"@prisma/client": "^6.17.0",
"@types/form-data": "^2.2.1",
"ajv": "^8.17.1",
"axios": "^1.12.2",
"dotenv": "^17.2.3",
"fastify": "^5.6.1",
"form-data": "^4.0.4",
"html2canvas": "^1.4.1",
"js-yaml": "^4.1.0",
"jsonrepair": "^3.13.1",
"jspdf": "^3.0.3",
"p-queue": "^9.0.0",
"prisma": "^6.17.0",
"tiktoken": "^1.0.22",
"winston": "^3.18.3",
"xlsx": "^0.18.5",
"zod": "^4.1.12"
},
"devDependencies": {
"@types/js-yaml": "^4.0.9",
"@types/node": "^24.7.1",
"@types/winston": "^2.4.4",
"nodemon": "^3.1.10",
"pino-pretty": "^13.1.1",
"ts-node": "^10.9.2",
"tsx": "^4.20.6",
"typescript": "^5.9.3"
}
}