HaHafeng
36ce1bbcb2
Summary: - Implement WechatService (314 lines, push notifications) - Implement WechatCallbackController (501 lines, async reply mode) - Complete iit_quality_check Worker with WeChat notifications - Configure WeChat routes (GET + POST /wechat/callback) - Configure natapp tunnel for local development - WeChat URL verification test passed Technical Highlights: - Async reply mode to avoid 5-second timeout - Message encryption/decryption using @wecom/crypto - Signature verification using getSignature - natapp tunnel: https://iit.nat100.top - Environment variables configuration completed Technical Challenges Solved: - Fix environment variable naming (WECHAT_CORP_SECRET) - Fix @wecom/crypto import (createRequire for CommonJS) - Fix decrypt function parameters (2 params, not 4) - Fix Token character recognition (lowercase l vs digit 1) - Regenerate EncodingAESKey (43 chars, correct format) - Configure natapp for internal network penetration Test Results: - WeChat developer tool verification: PASSED - Return status: request success - HTTP 200, decrypted 23 characters correctly - Backend logs: URL verification successful Documentation: - Add Day3 WeChat integration development record - Update MVP development task list (Day 2-3 completed) - Update module status guide (v1.2 -> v1.3) - Overall completion: 35% -> 50% Progress: - Module completion: 35% -> 50% - Day 3 development: COMPLETED - Ready for end-to-end testing (REDCap -> WeChat)
69 lines
1.7 KiB
JSON
69 lines
1.7 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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"@wecom/crypto": "^1.0.1",
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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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"xml2js": "^0.6.2",
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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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"@types/xml2js": "^0.4.14",
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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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