/** * Vision Pipeline 端到端测试脚本 * * 测试流程: * 1. LibreOffice 文档转换 * 2. PDF 转图片 * 3. Vision 模型分析 * 4. 完整流程集成 */ import { NestFactory } from '@nestjs/core'; import { AppModule } from './src/app.module'; import { VisionPipelineService } from './src/vision-pipeline/vision-pipeline.service'; import { LibreOfficeService } from './src/libreoffice/libreoffice.service'; import { Pdf2ImageService } from './src/pdf2image/pdf2image.service'; import { VisionService } from './src/vision/vision.service'; import * as fs from 'fs/promises'; import * as path from 'path'; async function testVisionPipeline() { console.log('🚀 开始 Vision Pipeline 端到端测试\n'); // 初始化 Nest 应用 const app = await NestFactory.createApplicationContext(AppModule, { logger: ['error', 'warn', 'log'], }); try { // 1. 测试 LibreOffice 服务 console.log('=== 测试 1: LibreOffice 服务 ==='); const libreOffice = app.get(LibreOfficeService); // 检查健康状态 const isHealthy = await libreOffice.healthCheck(); console.log(`LibreOffice 健康检查: ${isHealthy ? '✅ 通过' : '❌ 失败'}`); if (!isHealthy) { console.log('⚠️ LibreOffice 服务未运行,跳过后续测试'); return; } // 2. 测试 PDF 转图片服务 console.log('\n=== 测试 2: PDF 转图片服务 ==='); const pdf2Image = app.get(Pdf2ImageService); const testPdf = '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf'; if (await fs.access(testPdf).then(() => true).catch(() => false)) { console.log(`测试 PDF: ${path.basename(testPdf)}`); const result = await pdf2Image.convertToImages(testPdf, { density: 150, // 降低密度以加快测试 quality: 75, format: 'jpeg', }); console.log(`✅ 转换成功: ${result.images.length}/${result.totalPages} 页`); console.log(` 成功: ${result.successCount}, 失败: ${result.failedCount}`); // 清理测试文件 await pdf2Image.cleanupImages(result.images); console.log('✅ 临时文件已清理'); } else { console.log('⚠️ 测试 PDF 文件不存在,跳过此测试'); } // 3. 测试 Vision Pipeline 完整流程 console.log('\n=== 测试 3: Vision Pipeline 完整流程 ==='); const visionPipeline = app.get(VisionPipelineService); // 检查是否有支持的测试文件 const testFiles = [ '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1766236004300-577549403.pdf', '/home/fzxs/workspaces/demo/simple-kb/uploads/file-1765705143480-947461268.pdf', ]; let testFile: string | null = null; for (const file of testFiles) { if (await fs.access(file).then(() => true).catch(() => false)) { testFile = file; break; } } if (testFile) { console.log(`测试文件: ${path.basename(testFile)}`); // 模式推荐测试 const recommendation = await visionPipeline.recommendMode(testFile); console.log(`模式推荐: ${recommendation.recommendedMode}`); console.log(`原因: ${recommendation.reason}`); if (recommendation.estimatedCost) { console.log(`预估成本: $${recommendation.estimatedCost.toFixed(2)}`); } if (recommendation.estimatedTime) { console.log(`预估时间: ${recommendation.estimatedTime.toFixed(1)}s`); } if (recommendation.warnings && recommendation.warnings.length > 0) { console.log(`警告: ${recommendation.warnings.join(', ')}`); } // 注意:完整流程测试需要配置 Vision 模型 API Key // 这里只测试流程结构 console.log('\n✅ Vision Pipeline 模块已正确配置'); console.log(' 注意: 完整流程测试需要配置有效的 Vision 模型 API Key'); } else { console.log('⚠️ 未找到测试文件,跳过完整流程测试'); } // 4. 检查环境配置 console.log('\n=== 测试 4: 环境配置检查 ==='); const configService = app.get(require('@nestjs/config').ConfigService); const requiredEnvVars = [ 'LIBREOFFICE_URL', 'TEMP_DIR', 'ELASTICSEARCH_HOST', 'TIKA_HOST', ]; for (const envVar of requiredEnvVars) { const value = configService.get(envVar); if (value) { console.log(`✅ ${envVar}: ${value}`); } else { console.log(`❌ ${envVar}: 未配置`); } } console.log('\n🎉 所有基础测试完成!'); } catch (error) { console.error('❌ 测试失败:', error.message); console.error(error.stack); } finally { await app.close(); } } // 运行测试 if (require.main === module) { testVisionPipeline().catch(console.error); } export { testVisionPipeline };