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
87 lines
2.1 KiB
TypeScript
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());
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|