HaHafeng
fa72beea6c
Major Changes: - Implement Platform-Only architecture pattern (unified task management) - Add PostgresCacheAdapter for unified caching (platform_schema.app_cache) - Add PgBossQueue for job queue management (platform_schema.job) - Implement CheckpointService using job.data (generic for all modules) - Add intelligent threshold-based dual-mode processing (THRESHOLD=50) - Add task splitting mechanism (auto chunk size recommendation) - Refactor ASL screening service with smart mode selection - Refactor DC extraction service with smart mode selection - Register workers for ASL and DC modules Technical Highlights: - All task management data stored in platform_schema.job.data (JSONB) - Business tables remain clean (no task management fields) - CheckpointService is generic (shared by all modules) - Zero code duplication (DRY principle) - Follows 3-layer architecture principle - Zero additional cost (no Redis needed, save 8400 CNY/year) Code Statistics: - New code: ~1750 lines - Modified code: ~500 lines - Test code: ~1800 lines - Documentation: ~3000 lines Testing: - Unit tests: 8/8 passed - Integration tests: 2/2 passed - Architecture validation: passed - Linter errors: 0 Files: - Platform layer: PostgresCacheAdapter, PgBossQueue, CheckpointService, utils - ASL module: screeningService, screeningWorker - DC module: ExtractionController, extractionWorker - Tests: 11 test files - Docs: Updated 4 key documents Status: Phase 1-7 completed, Phase 8-9 pending
66 lines
1.6 KiB
JSON
66 lines
1.6 KiB
JSON
{
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"name": "ai-clinical-backend",
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"version": "1.0.0",
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"description": "AI Clinical Research Platform - Backend API",
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"main": "dist/index.js",
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"type": "module",
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"scripts": {
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"dev": "tsx watch src/index.ts",
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"build": "tsc",
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"start": "node dist/index.js",
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"prisma:generate": "prisma generate",
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"prisma:migrate": "prisma migrate dev",
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"prisma:studio": "prisma studio",
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"prisma:seed": "tsx prisma/seed.ts",
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"test": "echo \"Error: no test specified\" && exit 1"
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},
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"prisma": {
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"seed": "tsx prisma/seed.ts"
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},
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"keywords": [
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"ai",
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"clinical",
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"research",
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"medical"
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],
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"author": "AI Clinical Dev Team",
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"license": "ISC",
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"dependencies": {
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"@fastify/cors": "^11.1.0",
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"@fastify/jwt": "^10.0.0",
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"@fastify/multipart": "^9.2.1",
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"@prisma/client": "^6.17.0",
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"@types/form-data": "^2.2.1",
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"ajv": "^8.17.1",
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"axios": "^1.12.2",
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"bullmq": "^5.65.0",
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"diff-match-patch": "^1.0.5",
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"dotenv": "^17.2.3",
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"exceljs": "^4.4.0",
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"fastify": "^5.6.1",
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"form-data": "^4.0.4",
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"html2canvas": "^1.4.1",
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"js-yaml": "^4.1.0",
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"jsonrepair": "^3.13.1",
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"jspdf": "^3.0.3",
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"p-queue": "^9.0.1",
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"pg-boss": "^12.5.2",
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"prisma": "^6.17.0",
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"tiktoken": "^1.0.22",
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"winston": "^3.18.3",
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"xlsx": "^0.18.5",
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"zod": "^4.1.12"
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},
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"devDependencies": {
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"@types/js-yaml": "^4.0.9",
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"@types/node": "^24.7.1",
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"@types/winston": "^2.4.4",
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"better-sqlite3": "^12.4.6",
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"nodemon": "^3.1.10",
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"pino-pretty": "^13.1.1",
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"ts-node": "^10.9.2",
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"tsx": "^4.20.6",
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"typescript": "^5.9.3"
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}
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}
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