Files
AIclinicalresearch/backend/check_db_data.ts
HaHafeng 2481b786d8 deploy: Complete 0126-27 deployment - database upgrade, services update, code recovery
Major Changes:
- Database: Install pg_bigm/pgvector plugins, create test database
- Python service: v1.0 -> v1.1, add pymupdf4llm/openpyxl/pypandoc
- Node.js backend: v1.3 -> v1.7, fix pino-pretty and ES Module imports
- Frontend: v1.2 -> v1.3, skip TypeScript check for deployment
- Code recovery: Restore empty files from local backup

Technical Fixes:
- Fix pino-pretty error in production (conditional loading)
- Fix ES Module import paths (add .js extensions)
- Fix OSSAdapter TypeScript errors
- Update Prisma Schema (63 models, 16 schemas)
- Update environment variables (DATABASE_URL, EXTRACTION_SERVICE_URL, OSS)
- Remove deprecated variables (REDIS_URL, DIFY_API_URL, DIFY_API_KEY)

Documentation:
- Create 0126 deployment folder with 8 documents
- Update database development standards v2.0
- Update SAE deployment status records

Deployment Status:
- PostgreSQL: ai_clinical_research_test with plugins
- Python: v1.1 @ 172.17.173.84:8000
- Backend: v1.7 @ 172.17.173.89:3001
- Frontend: v1.3 @ 172.17.173.90:80

Tested: All services running successfully on SAE
2026-01-27 08:13:27 +08:00

68 lines
2.1 KiB
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function main() {
console.log('\n=== 各模块数据量检查 ===\n');
// 检查各个模块的数据
const queries = [
{ name: 'aia_schema.projects', sql: 'SELECT COUNT(*) as count FROM aia_schema.projects' },
{ name: 'aia_schema.conversations', sql: 'SELECT COUNT(*) as count FROM aia_schema.conversations' },
{ name: 'asl_schema.screening_projects', sql: 'SELECT COUNT(*) as count FROM asl_schema.screening_projects' },
{ name: 'asl_schema.literatures', sql: 'SELECT COUNT(*) as count FROM asl_schema.literatures' },
{ name: 'dc_schema.dc_templates', sql: 'SELECT COUNT(*) as count FROM dc_schema.dc_templates' },
{ name: 'dc_schema.dc_extraction_tasks', sql: 'SELECT COUNT(*) as count FROM dc_schema.dc_extraction_tasks' },
{ name: 'iit_schema.projects', sql: 'SELECT COUNT(*) as count FROM iit_schema.projects' },
{ name: 'pkb_schema.knowledge_bases', sql: 'SELECT COUNT(*) as count FROM pkb_schema.knowledge_bases' },
{ name: 'pkb_schema.documents', sql: 'SELECT COUNT(*) as count FROM pkb_schema.documents' },
{ name: 'platform_schema.users', sql: 'SELECT COUNT(*) as count FROM platform_schema.users' },
{ name: 'platform_schema.tenants', sql: 'SELECT COUNT(*) as count FROM platform_schema.tenants' },
{ name: 'platform_schema.departments', sql: 'SELECT COUNT(*) as count FROM platform_schema.departments' },
{ name: 'capability_schema.prompt_templates', sql: 'SELECT COUNT(*) as count FROM capability_schema.prompt_templates' },
];
for (const q of queries) {
try {
const result: any = await prisma.$queryRawUnsafe(q.sql);
console.log(`${q.name}: ${result[0].count} 条记录`);
} catch (e: any) {
console.log(`${q.name}: 查询失败 - ${e.message}`);
}
}
// 检查 platform_schema.users 的具体数据
console.log('\n=== platform_schema.users 详情 ===');
const users = await prisma.$queryRaw`SELECT id, name, phone, role, tenant_id FROM platform_schema.users;`;
console.log(users);
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());