#!/usr/bin/env python3 """ 简化的视频拆分服务测试 """ import os import sys import tempfile import shutil 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_basic_functionality(): """测试基本功能""" print("🎬 测试PySceneDetect视频拆分服务基本功能") print("=" * 60) # 查找测试视频 assets_dir = project_root / "assets" video_files = list(assets_dir.rglob("*.mp4")) if not video_files: print("❌ 没有找到测试视频文件") return False test_video = str(video_files[0]) print(f"📹 测试视频: {test_video}") print(f" 文件大小: {os.path.getsize(test_video) / (1024*1024):.1f} MB") try: # 检查PySceneDetect try: import scenedetect print(f"✅ PySceneDetect {scenedetect.__version__} 可用") except ImportError: print("❌ PySceneDetect不可用") return False from python_core.services.video_splitter import VideoSplitterService # 创建临时输出目录 temp_dir = tempfile.mkdtemp(prefix="video_splitter_test_") print(f"📁 临时输出目录: {temp_dir}") # 创建服务 splitter = VideoSplitterService(output_base_dir=temp_dir) print("✅ 视频拆分服务创建成功") # 测试场景检测 print(f"\n🎯 测试场景检测...") scenes = splitter.detect_scenes(test_video, threshold=30.0) print(f"✅ 场景检测成功:") print(f" 检测到 {len(scenes)} 个场景") for scene in scenes[:3]: # 只显示前3个 print(f" 场景 {scene.scene_number}: {scene.start_time:.2f}s - {scene.end_time:.2f}s ({scene.duration:.2f}s)") if len(scenes) > 3: print(f" ... 还有 {len(scenes) - 3} 个场景") # 测试视频分析 print(f"\n🔍 测试视频分析...") analysis = splitter.analyze_video(test_video, threshold=30.0) if analysis["success"]: print(f"✅ 视频分析成功:") print(f" 总场景数: {analysis['total_scenes']}") print(f" 总时长: {analysis['total_duration']:.2f}秒") print(f" 平均场景时长: {analysis['average_scene_duration']:.2f}秒") else: print(f"❌ 视频分析失败: {analysis.get('error', 'Unknown error')}") return False print(f"\n✅ 基本功能测试通过!") return True except Exception as e: print(f"❌ 测试失败: {e}") import traceback traceback.print_exc() return False finally: # 清理临时目录 if 'temp_dir' in locals(): print(f"\n🧹 清理临时目录: {temp_dir}") shutil.rmtree(temp_dir, ignore_errors=True) def test_command_line(): """测试命令行功能""" print("\n" + "=" * 60) print("🖥️ 测试命令行功能") print("=" * 60) # 查找测试视频 assets_dir = project_root / "assets" video_files = list(assets_dir.rglob("*.mp4")) if not video_files: print("❌ 没有找到测试视频文件") return False test_video = str(video_files[0]) print(f"📹 测试视频: {test_video}") try: import subprocess # 测试分析命令 print(f"\n🔍 测试分析命令...") # 设置PYTHONPATH env = os.environ.copy() env['PYTHONPATH'] = str(project_root) cmd = [ sys.executable, str(project_root / "python_core" / "services" / "video_splitter.py"), "analyze", test_video, "--threshold", "30.0" ] result = subprocess.run(cmd, capture_output=True, text=True, timeout=60, env=env) if result.returncode == 0: print(f"✅ 分析命令执行成功") # 解析JSON输出 import json try: analysis_data = json.loads(result.stdout) if analysis_data.get("success"): print(f" 总场景数: {analysis_data.get('total_scenes', 0)}") print(f" 总时长: {analysis_data.get('total_duration', 0):.2f}秒") else: print(f" 分析失败: {analysis_data.get('error', 'Unknown error')}") return False except json.JSONDecodeError: print(f" 输出: {result.stdout[:200]}...") else: print(f"❌ 分析命令执行失败") print(f" 错误: {result.stderr}") return False print(f"✅ 命令行功能测试通过!") return True except Exception as e: print(f"❌ 命令行测试失败: {e}") return False def main(): """主函数""" print("🚀 PySceneDetect视频拆分服务简化测试") try: # 测试基本功能 success1 = test_basic_functionality() # 测试命令行功能 success2 = test_command_line() print("\n" + "=" * 60) print("📊 测试总结") print("=" * 60) if success1 and success2: print("🎉 所有测试通过!") print("\n✅ 功能验证:") print(" 1. PySceneDetect可用 - ✅") print(" 2. 场景检测功能 - ✅") print(" 3. 视频分析功能 - ✅") print(" 4. 命令行接口 - ✅") print("\n🚀 使用方法:") print(" # 分析视频") print(" python python_core/services/video_splitter.py analyze video.mp4") print(" # 拆分视频") print(" python python_core/services/video_splitter.py split video.mp4") return 0 else: print("⚠️ 部分测试失败") 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)