Files
AIclinicalresearch/backend/compare_dc_asl.ts
HaHafeng 98d862dbd4 feat(aia): Complete AIA V2.0 and sync all changes
AIA V2.0 Major Updates:
- Add StreamingService with OpenAI Compatible format (backend/common/streaming)
- Upgrade Chat component V2 with Ant Design X deep integration
- Implement 12 intelligent agents (5 phases: topic/design/review/data/writing)
- Create AgentHub with 100% prototype V11 restoration
- Create ChatWorkspace with fullscreen immersive experience
- Add ThinkingBlock for deep thinking display
- Add useAIStream Hook for stream handling
- Add ConversationList for conversation management

Backend (~1300 lines):
- common/streaming: OpenAI adapter and streaming service
- modules/aia: 12 agents config, conversation service, attachment service
- Unified API routes to /api/v1 (RVW, PKB, AIA modules)
- Update authentication and permission helpers

Frontend (~3500 lines):
- modules/aia: AgentHub + ChatWorkspace + AgentCard components
- shared/Chat: AIStreamChat, ThinkingBlock, useAIStream, useConversations
- Update all modules API endpoints to v1
- Modern design with theme colors (blue/yellow/teal/purple)

Documentation (~2500 lines):
- AIA module status and development guide
- Universal capabilities catalog (11 services)
- Quick reference card
- System overview updates
- All module documentation synchronization

Other Updates:
- DC Tool C: Python operations and frontend components
- IIT Manager: session memory and wechat service
- PKB/RVW/ASL: API route updates
- Docker configs and deployment scripts
- Database migrations and scripts
- Test files and documentation

Tested: AIA streaming verified, authentication working, core features functional
Status: AIA V2.0 completed (85%), all changes synchronized
2026-01-14 19:19:00 +08:00

87 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());