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
146 lines
3.7 KiB
TypeScript
146 lines
3.7 KiB
TypeScript
/**
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* 测试ChatService的Dify知识库集成
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*
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* 测试场景:
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* 1. 询问研究方案相关问题(触发Dify检索)
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* 2. 询问患者数据(触发REDCap查询)
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* 3. 混合查询(同时涉及文档和数据)
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*/
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import { ChatService } from './services/ChatService.js';
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const chatService = new ChatService();
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async function testDifyIntegration() {
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console.log('='.repeat(80));
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console.log('🧪 测试ChatService的Dify知识库集成');
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console.log('='.repeat(80));
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console.log('');
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const testUserId = 'FengZhiBo';
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// 测试1:研究方案相关问题(应该触发Dify检索)
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console.log('📝 测试1:询问研究的纳入排除标准(应触发Dify检索)');
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console.log('-'.repeat(80));
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try {
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const answer1 = await chatService.handleMessage(
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testUserId,
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'这个研究的排除标准是什么?'
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);
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console.log('✅ AI回答:');
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console.log(answer1);
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console.log('');
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} catch (error: any) {
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console.error('❌ 测试1失败:', error.message);
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console.log('');
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}
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// 等待2秒
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await new Promise(resolve => setTimeout(resolve, 2000));
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// 测试2:CRF相关问题(应该触发Dify检索)
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console.log('📝 测试2:询问CRF表格内容(应触发Dify检索)');
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console.log('-'.repeat(80));
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try {
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const answer2 = await chatService.handleMessage(
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testUserId,
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'CRF表格中有哪些观察指标?'
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);
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console.log('✅ AI回答:');
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console.log(answer2);
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console.log('');
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} catch (error: any) {
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console.error('❌ 测试2失败:', error.message);
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console.log('');
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}
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// 等待2秒
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await new Promise(resolve => setTimeout(resolve, 2000));
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// 测试3:患者数据查询(应该触发REDCap查询)
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console.log('📊 测试3:询问患者记录(应触发REDCap查询)');
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console.log('-'.repeat(80));
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try {
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const answer3 = await chatService.handleMessage(
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testUserId,
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'查询一下ID 7的患者情况'
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);
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console.log('✅ AI回答:');
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console.log(answer3);
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console.log('');
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} catch (error: any) {
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console.error('❌ 测试3失败:', error.message);
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console.log('');
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}
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// 等待2秒
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await new Promise(resolve => setTimeout(resolve, 2000));
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// 测试4:混合查询(可能同时触发Dify和REDCap)
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console.log('🔀 测试4:混合查询(询问研究目的)');
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console.log('-'.repeat(80));
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try {
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const answer4 = await chatService.handleMessage(
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testUserId,
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'这个研究的主要研究目的是什么?'
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);
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console.log('✅ AI回答:');
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console.log(answer4);
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console.log('');
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} catch (error: any) {
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console.error('❌ 测试4失败:', error.message);
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console.log('');
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}
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// 测试5:统计查询(REDCap)
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console.log('📈 测试5:统计查询(应触发REDCap查询)');
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console.log('-'.repeat(80));
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try {
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const answer5 = await chatService.handleMessage(
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testUserId,
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'目前有多少位患者入组?'
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);
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console.log('✅ AI回答:');
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console.log(answer5);
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console.log('');
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} catch (error: any) {
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console.error('❌ 测试5失败:', error.message);
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console.log('');
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}
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console.log('='.repeat(80));
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console.log('✅ 测试完成!');
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console.log('='.repeat(80));
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console.log('');
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console.log('📝 测试总结:');
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console.log(' - Dify知识库检索(研究方案、CRF)');
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console.log(' - REDCap数据查询(患者记录、统计)');
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console.log(' - 上下文记忆(SessionMemory)');
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console.log('');
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console.log('🚀 下一步:企业微信端到端测试');
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}
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// 执行测试
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testDifyIntegration().catch(error => {
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console.error('❌ 测试脚本执行失败:', error);
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process.exit(1);
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});
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