Files
AIclinicalresearch/backend/check_iit_asl_data.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

83 lines
3.0 KiB
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function main() {
console.log('🔍 检查 IIT 和 ASL 模块的数据\n');
console.log('=' .repeat(60));
// IIT 模块
console.log('\n📋 IIT 模块 (iit_schema):\n');
const iitTables = [
{ name: 'projects', query: 'SELECT COUNT(*) as count FROM iit_schema.projects' },
{ name: 'audit_logs', query: 'SELECT COUNT(*) as count FROM iit_schema.audit_logs' },
{ name: 'pending_actions', query: 'SELECT COUNT(*) as count FROM iit_schema.pending_actions' },
{ name: 'task_runs', query: 'SELECT COUNT(*) as count FROM iit_schema.task_runs' },
{ name: 'user_mappings', query: 'SELECT COUNT(*) as count FROM iit_schema.user_mappings' },
];
for (const t of iitTables) {
const result: any = await prisma.$queryRawUnsafe(t.query);
const count = Number(result[0].count);
console.log(` ${t.name}: ${count} 条记录 ${count > 0 ? '✅' : '(空)'}`);
}
// 如果有数据,显示一些详情
const iitProjects: any[] = await prisma.$queryRaw`SELECT id, name, status, created_at FROM iit_schema.projects LIMIT 5`;
if (iitProjects.length > 0) {
console.log('\n 最近的 IIT 项目:');
iitProjects.forEach(p => console.log(` - ${p.name} (${p.status}) @ ${p.created_at}`));
}
// ASL 模块(智能文献筛选)
console.log('\n\n📋 ASL 模块 - 智能文献筛选 (asl_schema):\n');
const aslTables = [
{ name: 'screening_projects', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_projects' },
{ name: 'literatures', query: 'SELECT COUNT(*) as count FROM asl_schema.literatures' },
{ name: 'screening_tasks', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_tasks' },
{ name: 'screening_results', query: 'SELECT COUNT(*) as count FROM asl_schema.screening_results' },
{ name: 'fulltext_screening_tasks', query: 'SELECT COUNT(*) as count FROM asl_schema.fulltext_screening_tasks' },
{ name: 'fulltext_screening_results', query: 'SELECT COUNT(*) as count FROM asl_schema.fulltext_screening_results' },
];
for (const t of aslTables) {
const result: any = await prisma.$queryRawUnsafe(t.query);
const count = Number(result[0].count);
console.log(` ${t.name}: ${count} 条记录 ${count > 0 ? '✅' : '(空)'}`);
}
// 如果有数据,显示一些详情
const aslProjects: any[] = await prisma.$queryRaw`SELECT id, project_name, status, created_at FROM asl_schema.screening_projects LIMIT 5`;
if (aslProjects.length > 0) {
console.log('\n 最近的 ASL 项目:');
aslProjects.forEach(p => console.log(` - ${p.project_name} (${p.status}) @ ${p.created_at}`));
}
const literatures: any[] = await prisma.$queryRaw`SELECT id, title, stage FROM asl_schema.literatures LIMIT 5`;
if (literatures.length > 0) {
console.log('\n 最近的文献:');
literatures.forEach(l => console.log(` - ${l.title?.substring(0, 50)}... (${l.stage})`));
}
console.log('\n' + '=' .repeat(60));
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());