MCP Advisor

/** * 离线搜索功能测试 * 测试离线模式下的推荐效果，包括小红书、GitHub、文档等不同场景 */ import { describe, expect, test, beforeAll, afterAll } from 'vitest'; import { searchOffline } from '../../../../services/core/search/SearchMcpFactory.js'; import { getMcpServerListPath } from '../../../../utils/pathUtils.js'; import { redbookTestCases, githubTestCases, prompxTestCases, edgeCaseTestCases } from '../../../fixtures/search/cases/index.js'; import { createSearchTest } from '../../../fixtures/search/testUtils.js'; const FALLBACK_DATA_PATH = getMcpServerListPath(); const ALL_TEST_CASES = [ ...redbookTestCases, ...githubTestCases, ...edgeCaseTestCases, ...prompxTestCases, ]; describe('离线搜索功能测试', () => { beforeAll(() => { console.log('开始执行离线搜索测试...'); }); afterAll(() => { console.log('离线搜索测试执行完毕'); }); ALL_TEST_CASES.forEach(testCase => createSearchTest( testCase, searchOffline, FALLBACK_DATA_PATH, ) ); describe('特殊场景测试', () => { test('排序功能', async () => { const results = await searchOffline( 'MCP服务器', { limit: 5, minSimilarity: 0.1, sortBy: 'score', sortOrder: 'desc' }, FALLBACK_DATA_PATH, ); // 检查结果是否按分数降序排列 if (results.length > 1) { for (let i = 0; i < results.length - 1; i++) { const current = results[i] as any; const next = results[i + 1] as any; expect(current.score).toBeGreaterThanOrEqual(next.score); } } }); }); });