HaHafeng
dfc0fe0b9a
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
56 lines
2.1 KiB
TypeScript
56 lines
2.1 KiB
TypeScript
import { PrismaClient } from '@prisma/client';
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const prisma = new PrismaClient();
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async function main() {
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console.log('\n=== 各模块数据量检查 ===\n');
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// 检查各个模块的数据
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const queries = [
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{ name: 'aia_schema.projects', sql: 'SELECT COUNT(*) as count FROM aia_schema.projects' },
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{ name: 'aia_schema.conversations', sql: 'SELECT COUNT(*) as count FROM aia_schema.conversations' },
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{ name: 'asl_schema.screening_projects', sql: 'SELECT COUNT(*) as count FROM asl_schema.screening_projects' },
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{ name: 'asl_schema.literatures', sql: 'SELECT COUNT(*) as count FROM asl_schema.literatures' },
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{ name: 'dc_schema.dc_templates', sql: 'SELECT COUNT(*) as count FROM dc_schema.dc_templates' },
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{ name: 'dc_schema.dc_extraction_tasks', sql: 'SELECT COUNT(*) as count FROM dc_schema.dc_extraction_tasks' },
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{ name: 'iit_schema.projects', sql: 'SELECT COUNT(*) as count FROM iit_schema.projects' },
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{ name: 'pkb_schema.knowledge_bases', sql: 'SELECT COUNT(*) as count FROM pkb_schema.knowledge_bases' },
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{ name: 'pkb_schema.documents', sql: 'SELECT COUNT(*) as count FROM pkb_schema.documents' },
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{ name: 'platform_schema.users', sql: 'SELECT COUNT(*) as count FROM platform_schema.users' },
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{ name: 'platform_schema.tenants', sql: 'SELECT COUNT(*) as count FROM platform_schema.tenants' },
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{ name: 'platform_schema.departments', sql: 'SELECT COUNT(*) as count FROM platform_schema.departments' },
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{ name: 'capability_schema.prompt_templates', sql: 'SELECT COUNT(*) as count FROM capability_schema.prompt_templates' },
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];
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for (const q of queries) {
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try {
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const result: any = await prisma.$queryRawUnsafe(q.sql);
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console.log(`${q.name}: ${result[0].count} 条记录`);
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} catch (e: any) {
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console.log(`${q.name}: 查询失败 - ${e.message}`);
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}
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}
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// 检查 platform_schema.users 的具体数据
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console.log('\n=== platform_schema.users 详情 ===');
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const users = await prisma.$queryRaw`SELECT id, name, phone, role, tenant_id FROM platform_schema.users;`;
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console.log(users);
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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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