json rpc commander 封装

scripts/test_direct_import.py

@@ -0,0 +1,257 @@
+#!/usr/bin/env python3
+"""
+测试直接导入方式的视频拆分服务
+验证类型安全和简洁性
+"""
+
+import sys
+from pathlib import Path
+
+# 添加项目根目录到Python路径
+project_root = Path(__file__).parent.parent
+sys.path.insert(0, str(project_root))
+
+def test_direct_import():
+    """测试直接导入"""
+    print("🔍 测试直接导入方式")
+    print("=" * 50)
+    
+    try:
+        # 直接导入，如果依赖不存在就立即失败
+        from python_core.services.video_splitter import VideoSplitterService, DetectionConfig, DetectorType
+        print("✅ 模块导入成功")
+        
+        # 测试类型提示
+        service: VideoSplitterService = VideoSplitterService()
+        print("✅ 类型提示正常工作")
+        
+        # 测试配置创建
+        config: DetectionConfig = DetectionConfig(
+            threshold=30.0,
+            detector_type=DetectorType.CONTENT
+        )
+        print("✅ 配置创建成功，类型安全")
+        
+        return True
+        
+    except ImportError as e:
+        print(f"❌ 导入失败（这是预期的，如果依赖不存在）: {e}")
+        # 检查错误信息是否明确
+        if "scenedetect" in str(e).lower():
+            print("✅ 错误信息明确指出了缺失的依赖")
+            return True
+        else:
+            print("⚠️ 错误信息可能不够明确")
+            return False
+    except Exception as e:
+        print(f"❌ 意外错误: {e}")
+        return False
+
+def test_type_safety():
+    """测试类型安全"""
+    print("\n🔒 测试类型安全")
+    print("=" * 50)
+    
+    try:
+        # 检查PySceneDetect
+        try:
+            import scenedetect
+            print(f"✅ PySceneDetect {scenedetect.__version__} 可用")
+        except ImportError:
+            print("⚠️ PySceneDetect不可用，跳过类型安全测试")
+            return True
+        
+        from python_core.services.video_splitter.detectors import PySceneDetectDetector
+        from python_core.services.video_splitter.types import DetectionConfig, DetectorType
+        
+        # 测试检测器创建
+        detector = PySceneDetectDetector()
+        print("✅ 检测器创建成功")
+        
+        # 测试类型提示在IDE中的工作
+        # 这些应该有完整的类型提示
+        config = DetectionConfig(threshold=25.0)
+        print(f"✅ 配置类型: {type(config)}")
+        print(f"   阈值: {config.threshold}")
+        print(f"   检测器类型: {config.detector_type}")
+        print(f"   最小场景长度: {config.min_scene_length}")
+        
+        # 测试枚举类型
+        content_type = DetectorType.CONTENT
+        threshold_type = DetectorType.THRESHOLD
+        print(f"✅ 枚举类型工作正常: {content_type.value}, {threshold_type.value}")
+        
+        return True
+        
+    except Exception as e:
+        print(f"❌ 类型安全测试失败: {e}")
+        return False
+
+def test_functionality():
+    """测试功能"""
+    print("\n🎯 测试功能")
+    print("=" * 50)
+    
+    try:
+        # 检查依赖
+        try:
+            import scenedetect
+        except ImportError:
+            print("⚠️ PySceneDetect不可用，跳过功能测试")
+            return True
+        
+        from python_core.services.video_splitter import VideoSplitterService, DetectionConfig
+        
+        # 查找测试视频
+        assets_dir = project_root / "assets"
+        video_files = list(assets_dir.rglob("*.mp4"))
+        
+        if not video_files:
+            print("⚠️ 没有找到测试视频，跳过功能测试")
+            return True
+        
+        test_video = str(video_files[0])
+        print(f"📹 测试视频: {test_video}")
+        
+        # 创建服务
+        service = VideoSplitterService()
+        print("✅ 服务创建成功")
+        
+        # 测试分析
+        config = DetectionConfig(threshold=30.0)
+        result = service.analyze_video(test_video, config)
+        
+        if result.success:
+            print(f"✅ 视频分析成功:")
+            print(f"   总场景数: {result.total_scenes}")
+            print(f"   总时长: {result.total_duration:.2f}秒")
+            print(f"   分析时间: {result.analysis_time:.2f}秒")
+            
+            # 验证场景数据类型
+            for i, scene in enumerate(result.scenes[:2]):  # 只显示前2个
+                print(f"   场景 {scene.scene_number}: {scene.start_time:.2f}s - {scene.end_time:.2f}s")
+                # 验证类型
+                assert isinstance(scene.scene_number, int)
+                assert isinstance(scene.start_time, float)
+                assert isinstance(scene.end_time, float)
+            
+            print("✅ 场景数据类型验证通过")
+        else:
+            print(f"❌ 视频分析失败: {result.error}")
+            return False
+        
+        return True
+        
+    except Exception as e:
+        print(f"❌ 功能测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_code_simplicity():
+    """测试代码简洁性"""
+    print("\n📝 测试代码简洁性")
+    print("=" * 50)
+    
+    try:
+        # 检查文件大小和复杂度
+        module_dir = project_root / "python_core" / "services" / "video_splitter"
+        
+        files_to_check = ["detectors.py", "service.py", "cli.py"]
+        
+        for file_name in files_to_check:
+            file_path = module_dir / file_name
+            if file_path.exists():
+                content = file_path.read_text()
+                lines = content.splitlines()
+                
+                # 统计代码行数（排除空行和注释）
+                code_lines = [line for line in lines if line.strip() and not line.strip().startswith('#')]
+                
+                print(f"✅ {file_name}:")
+                print(f"   总行数: {len(lines)}")
+                print(f"   代码行数: {len(code_lines)}")
+                
+                # 检查是否有复杂的条件逻辑
+                complex_patterns = ['if UTILS_AVAILABLE', 'try:', 'except ImportError', 'AVAILABLE = True']
+                complex_count = sum(1 for line in lines if any(pattern in line for pattern in complex_patterns))
+                
+                if complex_count == 0:
+                    print(f"   ✅ 没有复杂的降级逻辑")
+                else:
+                    print(f"   ⚠️ 仍有 {complex_count} 行复杂逻辑")
+        
+        return True
+        
+    except Exception as e:
+        print(f"❌ 代码简洁性测试失败: {e}")
+        return False
+
+def main():
+    """主函数"""
+    print("🚀 测试直接导入方式的视频拆分服务")
+    print("验证类型安全和代码简洁性")
+    
+    try:
+        # 运行所有测试
+        tests = [
+            test_direct_import,
+            test_type_safety,
+            test_functionality,
+            test_code_simplicity
+        ]
+        
+        results = []
+        for test in tests:
+            try:
+                result = test()
+                results.append(result)
+            except Exception as e:
+                print(f"❌ 测试 {test.__name__} 异常: {e}")
+                results.append(False)
+        
+        # 总结
+        print("\n" + "=" * 60)
+        print("📊 直接导入测试总结")
+        print("=" * 60)
+        
+        passed = sum(results)
+        total = len(results)
+        
+        print(f"通过测试: {passed}/{total}")
+        
+        if passed == total:
+            print("🎉 所有直接导入测试通过！")
+            print("\n✅ 直接导入的优势:")
+            print("   1. 类型安全 - 完整的类型提示和IDE支持")
+            print("   2. 代码简洁 - 移除了复杂的依赖检查逻辑")
+            print("   3. 明确失败 - 依赖问题立即暴露")
+            print("   4. 易于理解 - 代码逻辑清晰直观")
+            print("   5. 性能更好 - 没有运行时的条件判断")
+            
+            print("\n🔧 代码质量改进:")
+            print("   1. 移除了 try/except ImportError 逻辑")
+            print("   2. 移除了 AVAILABLE 标志变量")
+            print("   3. 移除了条件导入和字典访问")
+            print("   4. 保持了完整的类型信息")
+            print("   5. IDE 可以提供完整的自动补全")
+            
+            print("\n📝 使用方式:")
+            print("   # 直接导入，类型安全")
+            print("   from python_core.services.video_splitter import VideoSplitterService")
+            print("   service = VideoSplitterService()  # 有完整类型提示")
+            
+            return 0
+        else:
+            print("⚠️ 部分直接导入测试失败")
+            return 1
+            
+    except Exception as e:
+        print(f"❌ 测试过程中出错: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+
+if __name__ == "__main__":
+    exit_code = main()
+    sys.exit(exit_code)