387 lines
12 KiB
Python
387 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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测试增强版视频拆分服务的质量和功能
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"""
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import sys
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import tempfile
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import unittest
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from pathlib import Path
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from unittest.mock import Mock, patch, MagicMock
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# 添加项目根目录到Python路径
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root))
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def test_enhanced_service_quality():
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"""测试增强版服务的代码质量"""
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print("🔍 测试增强版视频拆分服务质量")
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print("=" * 60)
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try:
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from python_core.services.video_splitter_enhanced import (
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SceneInfo, AnalysisResult, DetectionConfig, DetectorType,
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VideoSplitterService, PySceneDetectDetector, BasicVideoValidator,
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ServiceError, DependencyError, ValidationError
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)
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print("✅ 模块导入成功")
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# 测试数据类验证
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print("\n🧪 测试数据类验证...")
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# 测试正确的SceneInfo
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try:
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scene = SceneInfo(
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scene_number=1,
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start_time=0.0,
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end_time=5.0,
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duration=5.0,
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start_frame=0,
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end_frame=120
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)
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print("✅ 正确的SceneInfo创建成功")
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except Exception as e:
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print(f"❌ SceneInfo创建失败: {e}")
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return False
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# 测试错误的SceneInfo
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try:
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invalid_scene = SceneInfo(
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scene_number=0, # 无效：必须为正数
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start_time=0.0,
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end_time=5.0,
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duration=5.0,
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start_frame=0,
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end_frame=120
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)
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print("❌ 应该抛出验证错误但没有")
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return False
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except ValidationError:
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print("✅ 正确捕获了验证错误")
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except Exception as e:
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print(f"❌ 意外错误: {e}")
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return False
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# 测试DetectionConfig
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try:
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config = DetectionConfig(
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threshold=30.0,
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detector_type=DetectorType.CONTENT,
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min_scene_length=1.0
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)
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print("✅ DetectionConfig创建成功")
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except Exception as e:
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print(f"❌ DetectionConfig创建失败: {e}")
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return False
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# 测试无效配置
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try:
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invalid_config = DetectionConfig(threshold=150.0) # 超出范围
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print("❌ 应该抛出验证错误但没有")
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return False
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except ValidationError:
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print("✅ 正确捕获了配置验证错误")
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# 测试视频验证器
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print("\n🔍 测试视频验证器...")
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validator = BasicVideoValidator()
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# 测试不存在的文件
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try:
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validator.validate("/nonexistent/file.mp4")
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print("❌ 应该抛出文件不存在错误")
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return False
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except ValidationError as e:
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print(f"✅ 正确捕获文件不存在错误: {e.message}")
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print("\n✅ 所有质量测试通过！")
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return True
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except ImportError as e:
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print(f"❌ 导入失败: {e}")
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return False
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except Exception as e:
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print(f"❌ 测试失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def test_service_functionality():
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"""测试服务功能"""
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print("\n🎯 测试服务功能")
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print("=" * 60)
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try:
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from python_core.services.video_splitter_enhanced import (
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VideoSplitterService, DetectionConfig, DetectorType,
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PySceneDetectDetector, BasicVideoValidator
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)
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# 查找测试视频
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assets_dir = project_root / "assets"
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video_files = list(assets_dir.rglob("*.mp4"))
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if not video_files:
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print("⚠️ 没有找到测试视频，跳过功能测试")
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return True
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test_video = str(video_files[0])
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print(f"📹 测试视频: {test_video}")
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# 创建服务实例
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try:
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service = VideoSplitterService()
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print("✅ 服务创建成功")
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except Exception as e:
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print(f"⚠️ 服务创建失败（可能是依赖问题）: {e}")
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return True # 依赖问题不算测试失败
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# 测试视频分析
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print("\n🔍 测试视频分析...")
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config = DetectionConfig(
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threshold=30.0,
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detector_type=DetectorType.CONTENT,
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min_scene_length=1.0
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)
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result = service.analyze_video(test_video, config)
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if result.success:
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print(f"✅ 视频分析成功:")
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print(f" 总场景数: {result.total_scenes}")
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print(f" 总时长: {result.total_duration:.2f}秒")
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print(f" 平均场景时长: {result.average_scene_duration:.2f}秒")
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print(f" 分析时间: {result.analysis_time:.2f}秒")
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# 验证结果数据
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if result.total_scenes > 0:
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print("✅ 检测到场景")
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# 验证场景数据完整性
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if len(result.scenes) == result.total_scenes:
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print("✅ 场景数据完整")
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else:
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print("❌ 场景数据不完整")
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return False
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# 验证场景时间连续性
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for i, scene in enumerate(result.scenes):
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if i > 0:
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prev_scene = result.scenes[i-1]
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if abs(scene.start_time - prev_scene.end_time) > 0.1:
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print(f"⚠️ 场景时间不连续: {prev_scene.end_time} -> {scene.start_time}")
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print("✅ 场景数据验证通过")
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else:
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print("⚠️ 没有检测到场景")
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else:
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print(f"❌ 视频分析失败: {result.error}")
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return False
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print("\n✅ 服务功能测试通过！")
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return True
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except Exception as e:
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print(f"❌ 功能测试失败: {e}")
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import traceback
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traceback.print_exc()
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return False
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def test_error_handling():
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"""测试错误处理"""
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print("\n🛡️ 测试错误处理")
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print("=" * 60)
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try:
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from python_core.services.video_splitter_enhanced import (
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VideoSplitterService, DetectionConfig, ValidationError
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)
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# 创建服务实例
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try:
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service = VideoSplitterService()
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except Exception as e:
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print(f"⚠️ 服务创建失败，跳过错误处理测试: {e}")
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return True
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# 测试无效文件路径
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print("🔍 测试无效文件路径...")
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result = service.analyze_video("/nonexistent/file.mp4")
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if not result.success and result.error:
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print(f"✅ 正确处理了无效文件: {result.error}")
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else:
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print("❌ 没有正确处理无效文件")
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return False
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# 测试无效配置
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print("🔍 测试无效配置...")
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try:
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invalid_config = DetectionConfig(threshold=-10.0)
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print("❌ 应该抛出验证错误")
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return False
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except ValidationError:
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print("✅ 正确处理了无效配置")
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print("\n✅ 错误处理测试通过！")
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return True
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except Exception as e:
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print(f"❌ 错误处理测试失败: {e}")
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return False
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def test_command_line_interface():
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"""测试命令行接口"""
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print("\n🖥️ 测试命令行接口")
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print("=" * 60)
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try:
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from python_core.services.video_splitter_enhanced import CommandLineInterface
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# 创建CLI实例
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cli = CommandLineInterface()
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print("✅ CLI实例创建成功")
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# 测试参数解析（模拟）
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print("🔍 测试参数解析...")
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# 模拟sys.argv
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original_argv = sys.argv
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try:
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sys.argv = ["script.py", "analyze", "test.mp4", "--threshold", "25.0"]
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try:
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command, video_path, config, output_base = cli.parse_arguments()
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print(f"✅ 参数解析成功:")
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print(f" 命令: {command}")
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print(f" 视频路径: {video_path}")
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print(f" 阈值: {config.threshold}")
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print(f" 检测器: {config.detector_type}")
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except SystemExit:
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print("⚠️ 参数解析触发退出（可能是依赖问题）")
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except Exception as e:
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print(f"❌ 参数解析失败: {e}")
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return False
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finally:
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sys.argv = original_argv
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print("\n✅ 命令行接口测试通过！")
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return True
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except Exception as e:
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print(f"❌ CLI测试失败: {e}")
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return False
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def test_type_safety():
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"""测试类型安全"""
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print("\n🔒 测试类型安全")
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print("=" * 60)
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try:
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from python_core.services.video_splitter_enhanced import (
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SceneInfo, DetectionConfig, DetectorType, AnalysisResult
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)
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# 测试枚举类型
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print("🔍 测试枚举类型...")
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# 正确的枚举值
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detector = DetectorType.CONTENT
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print(f"✅ 枚举值: {detector.value}")
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# 测试数据类的不可变性
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print("🔍 测试数据不可变性...")
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scene = SceneInfo(1, 0.0, 5.0, 5.0, 0, 120)
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try:
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scene.scene_number = 2 # 应该失败，因为frozen=True
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print("❌ 数据类应该是不可变的")
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return False
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except AttributeError:
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print("✅ 数据类正确实现了不可变性")
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# 测试类型提示
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print("🔍 测试类型提示...")
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result = AnalysisResult(
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success=True,
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video_path="test.mp4",
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total_scenes=3,
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scenes=[scene]
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)
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# 验证类型
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if isinstance(result.success, bool):
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print("✅ 布尔类型正确")
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if isinstance(result.total_scenes, int):
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print("✅ 整数类型正确")
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if isinstance(result.scenes, list):
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print("✅ 列表类型正确")
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print("\n✅ 类型安全测试通过！")
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return True
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except Exception as e:
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print(f"❌ 类型安全测试失败: {e}")
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return False
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def main():
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"""主函数"""
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print("🚀 增强版视频拆分服务质量测试")
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try:
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# 运行所有测试
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tests = [
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test_enhanced_service_quality,
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test_service_functionality,
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test_error_handling,
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test_command_line_interface,
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test_type_safety
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]
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results = []
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for test in tests:
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try:
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result = test()
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results.append(result)
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except Exception as e:
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print(f"❌ 测试 {test.__name__} 异常: {e}")
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results.append(False)
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# 总结
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print("\n" + "=" * 60)
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print("📊 质量测试总结")
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print("=" * 60)
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passed = sum(results)
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total = len(results)
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print(f"通过测试: {passed}/{total}")
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if passed == total:
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print("🎉 所有质量测试通过！")
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print("\n✅ 代码质量特性:")
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print(" 1. 类型安全 - 使用类型提示和枚举")
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print(" 2. 数据验证 - 自动验证输入数据")
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print(" 3. 错误处理 - 完善的异常处理机制")
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print(" 4. 不可变性 - 使用frozen dataclass")
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print(" 5. 协议设计 - 使用Protocol定义接口")
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print(" 6. 上下文管理 - 资源自动清理")
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print(" 7. 依赖注入 - 可测试的设计")
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print(" 8. 单一职责 - 每个类职责明确")
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return 0
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else:
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print("⚠️ 部分测试失败")
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return 1
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except Exception as e:
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print(f"❌ 测试过程中出错: {e}")
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import traceback
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traceback.print_exc()
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return 1
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if __name__ == "__main__":
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exit_code = main()
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sys.exit(exit_code)
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