MCP Advisor

/** * 验证离线数据加载功能 * 这个脚本用于测试离线数据加载是否正常工作 */ import { OfflineDataLoader } from '../../services/providers/offline/offlineDataLoader.js'; import { EnhancedMemoryVectorEngine } from '../../services/providers/offline/enhancedMemoryVectorEngine.js'; import { OfflineSearchProvider } from '../../services/core/search/OfflineSearchProvider.js'; import logger from '../../utils/logger.js'; // 设置日志级别为 debug logger.level = 'debug'; async function testOfflineDataLoading() { console.log('=== 测试离线数据加载 ==='); // 1. 测试 OfflineDataLoader console.log('\n1. 测试 OfflineDataLoader:'); const dataLoader = new OfflineDataLoader(); const data = await dataLoader.loadFallbackData(); console.log(`加载到 ${data.length} 条服务器数据`); if (data.length > 0) { console.log('数据示例:'); console.log(data.slice(0, 2)); // 检查是否包含小红书相关服务器 const redNoteServers = data.filter(server => server.title?.toLowerCase().includes('rednote') || server.description?.toLowerCase().includes('rednote') || server.title?.toLowerCase().includes('小红书') || server.description?.toLowerCase().includes('小红书') ); console.log(`\n找到 ${redNoteServers.length} 个小红书相关服务器:`); if (redNoteServers.length > 0) { console.log(redNoteServers.map(s => ({ title: s.title, description: s.description }))); } } // 2. 测试 EnhancedMemoryVectorEngine console.log('\n2. 测试 EnhancedMemoryVectorEngine:'); const vectorEngine = new EnhancedMemoryVectorEngine(); // EnhancedMemoryVectorEngine 会在首次搜索时自动初始化和加载数据 // 使用模拟的向量数据（实际应用中应使用嵌入模型生成向量） const mockVector = Array(384).fill(0).map(() => Math.random() - 0.5); // 创建一个384维的随机向量 const engineResults = await vectorEngine.search(mockVector, 10, { minSimilarity: 0.1, textQuery: '小红书 热点' }); console.log(`向量引擎搜索结果: ${engineResults.length} 条`); if (engineResults.length > 0) { console.log('向量搜索结果示例:'); console.log(engineResults.slice(0, 2).map(r => ({ title: r.title, similarity: r.similarity, description: `${r.description?.substring(0, 50) }...` }))); } // 3. 测试 OfflineSearchProvider console.log('\n3. 测试 OfflineSearchProvider:'); const offlineProvider = new OfflineSearchProvider(); const searchResults = await offlineProvider.search({ taskDescription: '我想要看看小红书今天的热点问题，你再锐评一下' }); console.log(`离线搜索结果: ${searchResults.length} 条`); if (searchResults.length > 0) { console.log('搜索结果示例:'); console.log(searchResults.slice(0, 3).map(r => ({ title: r.title, similarity: r.similarity, description: `${r.description?.substring(0, 50) }...` }))); } } // 执行测试 testOfflineDataLoading() .then(() => console.log('\n测试完成')) .catch(err => console.error('测试出错:', err));