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
161 lines
3.7 KiB
TypeScript
161 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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