# -*- coding: utf-8 -*- """ 综合评估报告 汇总所有测试结果，生成TaskQueueManager核心逻辑健壮性的综合评估 """ import os import sys import subprocess import json from datetime import datetime # 添加项目根目录到路径 sys.path.append(os.path.dirname(os.path.abspath(__file__))) # 设置测试环境变量 os.environ['ARK_API_KEY'] = 'test_api_key_for_testing' os.environ['ARK_BASE_URL'] = 'https://test.api.com' class ComprehensiveAssessment: """综合评估类""" def __init__(self): self.test_results = { 'basic_functionality': None, 'robustness': None, 'stress_performance': None } self.assessment_time = datetime.now() def run_basic_tests(self): """运行基础功能测试""" print("=== 运行基础功能测试 ===") try: result = subprocess.run( [sys.executable, 'test_cache_persistence.py'], capture_output=True, text=True, cwd=os.path.dirname(os.path.abspath(__file__)) ) # 分析输出 output = result.stdout success = result.returncode == 0 and "所有测试完成" in output # 统计测试结果 test_count = output.count("测试完成") error_count = output.count("✗") self.test_results['basic_functionality'] = { 'success': success, 'test_count': test_count, 'error_count': error_count, 'details': '基础缓存、持久化和清理机制测试', 'output': output[-500:] if len(output) > 500 else output # 保留最后500字符 } print(f"✓ 基础功能测试完成 - 成功: {success}, 测试数: {test_count}, 错误数: {error_count}") except Exception as e: self.test_results['basic_functionality'] = { 'success': False, 'error': str(e), 'details': '基础功能测试执行失败' } print(f"✗ 基础功能测试失败: {str(e)}") def run_robustness_tests(self): """运行健壮性测试""" print("\n=== 运行健壮性测试 ===") try: # 直接导入并运行健壮性测试 from test_robustness import RobustnessTestSuite test_suite = RobustnessTestSuite() assessment = test_suite.run_all_tests() self.test_results['robustness'] = { 'success': assessment['success_rate'] >= 80, 'success_rate': assessment['success_rate'], 'total_tests': assessment['total_tests'], 'passed_tests': assessment['passed_tests'], 'failed_tests': assessment['failed_tests'], 'grade': assessment['grade'], 'assessment': assessment['assessment'], 'details': '边界条件、异常处理、并发操作、数据完整性测试' } print(f"✓ 健壮性测试完成 - 成功率: {assessment['success_rate']:.1f}%, 评级: {assessment['grade']}") except Exception as e: self.test_results['robustness'] = { 'success': False, 'error': str(e), 'details': '健壮性测试执行失败' } print(f"✗ 健壮性测试失败: {str(e)}") def run_stress_tests(self): """运行压力测试""" print("\n=== 运行压力测试 ===") try: # 直接导入并运行压力测试 from test_stress import StressTestSuite test_suite = StressTestSuite() report = test_suite.run_stress_tests() self.test_results['stress_performance'] = { 'success': report['success_rate'] >= 60, 'success_rate': report['success_rate'], 'total_tests': report['total_tests'], 'passed_tests': report['passed_tests'], 'grade': report['grade'], 'assessment': report['assessment'], 'memory_change': report['memory_change'], 'details': '高容量操作、并发压力、长时间运行、内存管理测试' } print(f"✓ 压力测试完成 - 成功率: {report['success_rate']:.1f}%, 评级: {report['grade']}") except Exception as e: self.test_results['stress_performance'] = { 'success': False, 'error': str(e), 'details': '压力测试执行失败' } print(f"✗ 压力测试失败: {str(e)}") def generate_comprehensive_report(self): """生成综合评估报告""" print("\n" + "="*80) print("TaskQueueManager 核心逻辑健壮性综合评估报告") print("="*80) print(f"评估时间: {self.assessment_time.strftime('%Y-%m-%d %H:%M:%S')}") # 1. 测试概览 print("\n📊 测试概览") print("-" * 40) total_categories = 0 passed_categories = 0 for category, result in self.test_results.items(): if result: total_categories += 1 if result.get('success', False): passed_categories += 1 status = "✓" if result.get('success', False) else "✗" category_name = { 'basic_functionality': '基础功能', 'robustness': '健壮性', 'stress_performance': '压力性能' }.get(category, category) print(f"{status} {category_name}: {result.get('details', 'N/A')}") if 'success_rate' in result: print(f" 成功率: {result['success_rate']:.1f}%") if 'grade' in result: print(f" 评级: {result['grade']}") overall_success_rate = (passed_categories / total_categories * 100) if total_categories > 0 else 0 # 2. 详细分析 print("\n📋 详细分析") print("-" * 40) # 基础功能分析 basic = self.test_results.get('basic_functionality') if basic: print(f"\n🔧 基础功能测试:") if basic.get('success'): print(f" ✓ 所有核心功能正常工作") print(f" ✓ 缓存机制运行正常") print(f" ✓ 持久化机制运行正常") print(f" ✓ 清理机制运行正常") else: print(f" ✗ 基础功能存在问题") if 'error' in basic: print(f" 错误: {basic['error']}") # 健壮性分析 robustness = self.test_results.get('robustness') if robustness: print(f"\n🛡️ 健壮性测试:") if robustness.get('success'): print(f" ✓ 边界条件处理良好") print(f" ✓ 异常处理机制完善") print(f" ✓ 并发操作安全") print(f" ✓ 数据完整性保证") else: print(f" ⚠️ 健壮性需要改进") if 'failed_tests' in robustness and robustness['failed_tests'] > 0: print(f" 失败测试数: {robustness['failed_tests']}") # 压力性能分析 stress = self.test_results.get('stress_performance') if stress: print(f"\n⚡ 压力性能测试:") if stress.get('success'): print(f" ✓ 高负载处理能力良好") print(f" ✓ 内存管理有效") print(f" ✓ 长时间运行稳定") else: print(f" ⚠️ 性能需要优化") if 'memory_change' in stress: print(f" 内存变化: {stress['memory_change']:+.1f}MB") # 3. 综合评级 print("\n🎯 综合评级") print("-" * 40) if overall_success_rate >= 90: overall_grade = "A+ (优秀)" overall_assessment = "系统具有优秀的健壮性和性能，可以安全地部署到生产环境。" recommendations = [ "继续保持高质量的代码标准", "定期进行回归测试", "监控生产环境性能指标" ] elif overall_success_rate >= 75: overall_grade = "A (良好)" overall_assessment = "系统整体表现良好，具有较好的健壮性，适合生产环境使用。" recommendations = [ "重点优化失败的测试用例", "加强异常处理机制", "定期进行性能调优" ] elif overall_success_rate >= 60: overall_grade = "B (一般)" overall_assessment = "系统基本可用，但存在一些问题需要解决后再部署到生产环境。" recommendations = [ "修复所有失败的测试用例", "重点改进健壮性和异常处理", "进行性能优化", "增加监控和日志" ] elif overall_success_rate >= 40: overall_grade = "C (较差)" overall_assessment = "系统存在较多问题，需要大量改进工作。" recommendations = [ "全面重构异常处理机制", "优化核心算法和数据结构", "加强并发控制", "进行全面的代码审查" ] else: overall_grade = "D (差)" overall_assessment = "系统存在严重问题，不建议在当前状态下使用。" recommendations = [ "重新设计核心架构", "重写关键组件", "建立完善的测试体系", "进行全面的质量保证" ] print(f"总体成功率: {overall_success_rate:.1f}%") print(f"综合评级: {overall_grade}") print(f"\n📝 评估结论:") print(f"{overall_assessment}") # 4. 改进建议 print("\n💡 改进建议") print("-" * 40) for i, recommendation in enumerate(recommendations, 1): print(f"{i}. {recommendation}") # 5. 技术指标总结 print("\n📈 技术指标总结") print("-" * 40) if robustness and 'success_rate' in robustness: print(f"健壮性成功率: {robustness['success_rate']:.1f}%") if stress and 'success_rate' in stress: print(f"压力测试成功率: {stress['success_rate']:.1f}%") if basic and basic.get('success'): print(f"基础功能: 正常") # 6. 风险评估 print("\n⚠️ 风险评估") print("-" * 40) risks = [] if not basic or not basic.get('success'): risks.append("高风险: 基础功能不稳定") if robustness and robustness.get('success_rate', 0) < 80: risks.append("中风险: 异常处理能力不足") if stress and stress.get('success_rate', 0) < 60: risks.append("中风险: 高负载性能问题") if not risks: print("✓ 未发现重大风险") else: for risk in risks: print(f"⚠️ {risk}") return { 'overall_success_rate': overall_success_rate, 'overall_grade': overall_grade, 'overall_assessment': overall_assessment, 'recommendations': recommendations, 'risks': risks, 'test_results': self.test_results } def save_report(self, report, filename="assessment_report.json"): """保存评估报告到文件""" report_data = { 'assessment_time': self.assessment_time.isoformat(), 'report': report } try: with open(filename, 'w', encoding='utf-8') as f: json.dump(report_data, f, ensure_ascii=False, indent=2) print(f"\n📄 评估报告已保存到: {filename}") except Exception as e: print(f"\n❌ 保存报告失败: {str(e)}") def run_comprehensive_assessment(self): """运行综合评估""" print("开始TaskQueueManager核心逻辑健壮性综合评估...\n") # 运行所有测试 self.run_basic_tests() self.run_robustness_tests() self.run_stress_tests() # 生成综合报告 report = self.generate_comprehensive_report() # 保存报告 self.save_report(report) return report def main(): """主函数""" assessment = ComprehensiveAssessment() return assessment.run_comprehensive_assessment() if __name__ == "__main__": main()