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