Files
AIclinicalresearch/backend/compare_dc_asl.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

102 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());