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