258 lines
8.9 KiB
Python
258 lines
8.9 KiB
Python
#!/usr/bin/env python3
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"""
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测试直接导入方式的视频拆分服务
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验证类型安全和简洁性
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"""
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import sys
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from pathlib import Path
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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_direct_import():
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"""测试直接导入"""
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print("🔍 测试直接导入方式")
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print("=" * 50)
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try:
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# 直接导入，如果依赖不存在就立即失败
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from python_core.services.video_splitter import VideoSplitterService, DetectionConfig, DetectorType
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print("✅ 模块导入成功")
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# 测试类型提示
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service: VideoSplitterService = VideoSplitterService()
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print("✅ 类型提示正常工作")
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# 测试配置创建
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config: DetectionConfig = DetectionConfig(
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threshold=30.0,
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detector_type=DetectorType.CONTENT
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)
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print("✅ 配置创建成功，类型安全")
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return True
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except ImportError as e:
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print(f"❌ 导入失败（这是预期的，如果依赖不存在）: {e}")
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# 检查错误信息是否明确
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if "scenedetect" in str(e).lower():
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print("✅ 错误信息明确指出了缺失的依赖")
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return True
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else:
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print("⚠️ 错误信息可能不够明确")
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return False
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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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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("=" * 50)
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try:
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# 检查PySceneDetect
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try:
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import scenedetect
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print(f"✅ PySceneDetect {scenedetect.__version__} 可用")
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except ImportError:
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print("⚠️ PySceneDetect不可用，跳过类型安全测试")
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return True
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from python_core.services.video_splitter.detectors import PySceneDetectDetector
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from python_core.services.video_splitter.types import DetectionConfig, DetectorType
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# 测试检测器创建
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detector = PySceneDetectDetector()
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print("✅ 检测器创建成功")
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# 测试类型提示在IDE中的工作
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# 这些应该有完整的类型提示
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config = DetectionConfig(threshold=25.0)
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print(f"✅ 配置类型: {type(config)}")
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print(f" 阈值: {config.threshold}")
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print(f" 检测器类型: {config.detector_type}")
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print(f" 最小场景长度: {config.min_scene_length}")
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# 测试枚举类型
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content_type = DetectorType.CONTENT
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threshold_type = DetectorType.THRESHOLD
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print(f"✅ 枚举类型工作正常: {content_type.value}, {threshold_type.value}")
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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 test_functionality():
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"""测试功能"""
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print("\n🎯 测试功能")
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print("=" * 50)
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try:
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# 检查依赖
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try:
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import scenedetect
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except ImportError:
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print("⚠️ PySceneDetect不可用，跳过功能测试")
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return True
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from python_core.services.video_splitter import VideoSplitterService, DetectionConfig
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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
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service = VideoSplitterService()
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print("✅ 服务创建成功")
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# 测试分析
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config = DetectionConfig(threshold=30.0)
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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" 分析时间: {result.analysis_time:.2f}秒")
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# 验证场景数据类型
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for i, scene in enumerate(result.scenes[:2]): # 只显示前2个
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print(f" 场景 {scene.scene_number}: {scene.start_time:.2f}s - {scene.end_time:.2f}s")
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# 验证类型
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assert isinstance(scene.scene_number, int)
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assert isinstance(scene.start_time, float)
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assert isinstance(scene.end_time, float)
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print("✅ 场景数据类型验证通过")
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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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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_code_simplicity():
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"""测试代码简洁性"""
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print("\n📝 测试代码简洁性")
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print("=" * 50)
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try:
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# 检查文件大小和复杂度
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module_dir = project_root / "python_core" / "services" / "video_splitter"
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files_to_check = ["detectors.py", "service.py", "cli.py"]
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for file_name in files_to_check:
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file_path = module_dir / file_name
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if file_path.exists():
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content = file_path.read_text()
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lines = content.splitlines()
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# 统计代码行数（排除空行和注释）
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code_lines = [line for line in lines if line.strip() and not line.strip().startswith('#')]
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print(f"✅ {file_name}:")
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print(f" 总行数: {len(lines)}")
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print(f" 代码行数: {len(code_lines)}")
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# 检查是否有复杂的条件逻辑
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complex_patterns = ['if UTILS_AVAILABLE', 'try:', 'except ImportError', 'AVAILABLE = True']
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complex_count = sum(1 for line in lines if any(pattern in line for pattern in complex_patterns))
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if complex_count == 0:
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print(f" ✅ 没有复杂的降级逻辑")
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else:
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print(f" ⚠️ 仍有 {complex_count} 行复杂逻辑")
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return True
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except Exception as e:
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print(f"❌ 代码简洁性测试失败: {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("🚀 测试直接导入方式的视频拆分服务")
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print("验证类型安全和代码简洁性")
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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_direct_import,
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test_type_safety,
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test_functionality,
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test_code_simplicity
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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("📊 直接导入测试总结")
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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("🎉 所有直接导入测试通过！")
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print("\n✅ 直接导入的优势:")
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print(" 1. 类型安全 - 完整的类型提示和IDE支持")
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print(" 2. 代码简洁 - 移除了复杂的依赖检查逻辑")
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print(" 3. 明确失败 - 依赖问题立即暴露")
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print(" 4. 易于理解 - 代码逻辑清晰直观")
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print(" 5. 性能更好 - 没有运行时的条件判断")
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print("\n🔧 代码质量改进:")
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print(" 1. 移除了 try/except ImportError 逻辑")
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print(" 2. 移除了 AVAILABLE 标志变量")
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print(" 3. 移除了条件导入和字典访问")
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print(" 4. 保持了完整的类型信息")
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print(" 5. IDE 可以提供完整的自动补全")
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print("\n📝 使用方式:")
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print(" # 直接导入，类型安全")
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print(" from python_core.services.video_splitter import VideoSplitterService")
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print(" service = VideoSplitterService() # 有完整类型提示")
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return 0
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else:
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print("⚠️ 部分直接导入测试失败")
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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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