Files
AIclinicalresearch/backend/check_db.ts
HaHafeng 96290d2f76 feat(aia): Implement Protocol Agent MVP with reusable Agent framework
Sprint 1-3 Completed (Backend + Frontend):

Backend (Sprint 1-2):
- Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection)
- Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules)
- Create protocol_schema with 2 tables (protocol_contexts, protocol_generations)
- Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder)
- Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude)
- 6 API endpoints with full authentication
- 10/10 API tests passed

Frontend (Sprint 3):
- Add Protocol Agent entry in AgentHub (indigo theme card)
- Implement ProtocolAgentPage with 3-column layout
- Collapsible sidebar (Gemini style, 48px <-> 280px)
- StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints)
- ChatArea with sync button and action cards integration
- 100% prototype design restoration (608 lines CSS)
- Detailed endpoints structure: baseline, exposure, outcomes, confounders

Features:
- 5-stage dialogue flow for research protocol design
- Conversation-driven interaction with sync-to-protocol button
- Real-time context state management
- One-click protocol generation button (UI ready, backend pending)

Database:
- agent_schema: 6 tables for reusable Agent framework
- protocol_schema: 2 tables for Protocol Agent
- Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules

Code Stats:
- Backend: 13 files, 4338 lines
- Frontend: 14 files, 2071 lines
- Total: 27 files, 6409 lines

Status: MVP core functionality completed, pending frontend-backend integration testing

Next: Sprint 4 - One-click protocol generation + Word export
2026-01-24 17:29:24 +08:00

71 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());