Files
AIclinicalresearch/backend/check_db.ts
HaHafeng dfc0fe0b9a feat(pkb): Integrate pgvector and create Dify replacement plan
Summary:
- Migrate PostgreSQL to pgvector/pgvector:pg15 Docker image
- Successfully install and verify pgvector 0.8.1 extension
- Create comprehensive Dify-to-pgvector migration plan
- Update PKB module documentation with pgvector status
- Update system documentation with pgvector integration

Key changes:
- docker-compose.yml: Switch to pgvector/pgvector:pg15 image
- Add EkbDocument and EkbChunk data model design
- Design R-C-R-G hybrid retrieval architecture
- Add clinical data JSONB fields (pico, studyDesign, regimen, safety, criteria, endpoints)
- Create detailed 10-day implementation roadmap

Documentation updates:
- PKB module status: pgvector RAG infrastructure ready
- System status: pgvector 0.8.1 integrated
- New: Dify replacement development plan (01-Dify替换为pgvector开发计划.md)
- New: Enterprise medical knowledge base solution V2

Tested: PostgreSQL with pgvector verified, frontend and backend functionality confirmed
2026-01-20 00:00:58 +08:00

62 lines
1.5 KiB
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function main() {
// 查询所有 schema
const schemas = await prisma.$queryRaw`
SELECT schema_name
FROM information_schema.schemata
WHERE schema_name NOT IN ('pg_catalog', 'information_schema', 'pg_toast')
ORDER BY schema_name;
`;
console.log('\n=== 数据库中的 Schemas ===');
console.log(schemas);
// 查询每个 schema 下的表
const tables = await prisma.$queryRaw`
SELECT table_schema, table_name
FROM information_schema.tables
WHERE table_schema NOT IN ('pg_catalog', 'information_schema', 'pg_toast')
AND table_type = 'BASE TABLE'
ORDER BY table_schema, table_name;
`;
console.log('\n=== 数据库中的所有表 ===');
console.log(tables);
// 检查 platform_schema.users 的数据量
try {
const userCount = await prisma.$queryRaw`SELECT COUNT(*) as count FROM platform_schema.users;`;
console.log('\n=== platform_schema.users 数据量 ===');
console.log(userCount);
} catch (e) {
console.log('\n=== platform_schema.users 不存在或出错 ===');
}
// 检查 public.users 的数据量
try {
const publicUserCount = await prisma.$queryRaw`SELECT COUNT(*) as count FROM public.users;`;
console.log('\n=== public.users 数据量 ===');
console.log(publicUserCount);
} catch (e) {
console.log('\n=== public.users 不存在或出错 ===');
}
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());