Files
AIclinicalresearch/backend/compare_dc_asl.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

93 lines
2.1 KiB
TypeScript

import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function getTableColumns(schema: string, tableName: string): Promise<any[]> {
return prisma.$queryRawUnsafe(`
SELECT column_name, data_type, is_nullable, column_default
FROM information_schema.columns
WHERE table_schema = '${schema}' AND table_name = '${tableName}'
ORDER BY ordinal_position
`);
}
async function main() {
console.log('🔍 DC 和 ASL 模块表结构对比\n');
console.log('=' .repeat(70));
// DC 模块的表
const dcTables = [
'dc_extraction_items',
'dc_extraction_tasks',
'dc_health_checks',
'dc_templates',
'dc_tool_c_ai_history',
'dc_tool_c_sessions'
];
// ASL 模块的表
const aslTables = [
'fulltext_screening_results',
'fulltext_screening_tasks',
'literatures',
'screening_projects',
'screening_results',
'screening_tasks'
];
console.log('\n📋 DC 模块 (dc_schema) 当前表结构:\n');
for (const table of dcTables) {
console.log(`\n--- dc_schema.${table} ---`);
try {
const cols = await getTableColumns('dc_schema', table);
if (cols.length === 0) {
console.log(' ❌ 表不存在');
} else {
cols.forEach((c: any) => {
console.log(` ${c.column_name}: ${c.data_type} ${c.is_nullable === 'NO' ? 'NOT NULL' : ''}`);
});
}
} catch (e) {
console.log(' ❌ 查询失败');
}
}
console.log('\n\n📋 ASL 模块 (asl_schema) 当前表结构:\n');
for (const table of aslTables) {
console.log(`\n--- asl_schema.${table} ---`);
try {
const cols = await getTableColumns('asl_schema', table);
if (cols.length === 0) {
console.log(' ❌ 表不存在');
} else {
cols.forEach((c: any) => {
console.log(` ${c.column_name}: ${c.data_type} ${c.is_nullable === 'NO' ? 'NOT NULL' : ''}`);
});
}
} catch (e) {
console.log(' ❌ 查询失败');
}
}
console.log('\n' + '=' .repeat(70));
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());