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
40 lines
1017 B
TypeScript
40 lines
1017 B
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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const cols: any[] = await prisma.$queryRaw`
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SELECT column_name, data_type, is_nullable
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FROM information_schema.columns
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WHERE table_schema = 'platform_schema' AND table_name = 'queue'
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ORDER BY ordinal_position
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`;
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console.log('platform_schema.queue 表的列:');
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cols.forEach(c => console.log(` ${c.column_name}: ${c.data_type} ${c.is_nullable === 'NO' ? 'NOT NULL' : ''}`));
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// 检查必要的列是否存在
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const requiredCols = ['table_name', 'partition', 'retention_seconds', 'warning_queued'];
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const existingCols = cols.map(c => c.column_name);
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console.log('\n检查 create_queue 函数需要的列:');
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for (const col of requiredCols) {
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if (existingCols.includes(col)) {
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console.log(` ✅ ${col} 存在`);
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} else {
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console.log(` ❌ ${col} 缺失!`);
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}
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}
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}
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main()
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.catch(console.error)
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.finally(() => prisma.$disconnect());
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