192 lines
6.8 KiB
Python
192 lines
6.8 KiB
Python
#!/usr/bin/env python3
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"""
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测试分镜头重新生成功能
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"""
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import os
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import sys
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import json
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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_segment_regeneration():
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"""测试分镜头重新生成功能"""
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print("🎬 测试分镜头重新生成功能")
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print("=" * 50)
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# 查找assets文件夹中的测试视频
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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(f"❌ 没有找到测试视频文件")
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return False
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# 使用第一个视频文件进行测试
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test_video_path = str(video_files[0])
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print(f"📹 使用测试视频: {test_video_path}")
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print(f" 文件大小: {os.path.getsize(test_video_path) / (1024*1024):.1f} MB")
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print(f"📹 测试视频: {test_video_path}")
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try:
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# 导入MediaManager
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from python_core.services.media_manager import get_media_manager
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media_manager = get_media_manager()
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# 首先上传视频
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print("\n📤 首次上传视频...")
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result1 = media_manager.upload_video_file(
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source_path=test_video_path,
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filename=os.path.basename(test_video_path),
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tags=["test001", "M001", "首次上传"]
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)
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video_id = result1['original_video']['id']
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print(f"📊 首次上传结果:")
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print(f" 视频ID: {video_id}")
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print(f" 是否重复: {result1.get('is_duplicate', False)}")
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print(f" 分镜头数量: {len(result1.get('segments', []))}")
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# 如果首次上传就有分镜头，先清空分镜头来模拟没有分镜头的情况
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if result1.get('segments'):
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print("\n🧹 清空现有分镜头以模拟没有分镜头的情况...")
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# 清空分镜头数据
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media_manager.video_segments = [s for s in media_manager.video_segments
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if s.original_video_id != video_id]
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media_manager._save_video_segments()
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# 检查当前的分镜头状态
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existing_segments = media_manager.get_segments_by_video_id(video_id)
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print(f"📊 当前分镜头数量: {len(existing_segments)}")
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# 测试重新上传同一个视频（模拟重新生成分镜头）
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print("\n🔄 重新上传视频以触发分镜头重新生成...")
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result = media_manager.upload_video_file(
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source_path=test_video_path,
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filename=os.path.basename(test_video_path),
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tags=["test001", "M001", "重新生成测试"]
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)
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print(f"📊 上传结果:")
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print(f" 是否重复: {result.get('is_duplicate', False)}")
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print(f" 分镜头重新生成: {result.get('segments_regenerated', False)}")
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print(f" 分镜头数量: {len(result.get('segments', []))}")
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if result.get('segments'):
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print("\n✅ 分镜头生成成功:")
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for i, segment in enumerate(result['segments']):
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print(f" 片段 {i+1}: {segment.get('filename', 'unknown')}")
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print(f" 时长: {segment.get('duration', 0):.2f}秒")
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print(f" 时间范围: {segment.get('start_time', 0):.2f}s - {segment.get('end_time', 0):.2f}s")
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# 检查文件是否存在
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file_path = segment.get('file_path')
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if file_path and os.path.exists(file_path):
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file_size = os.path.getsize(file_path) / (1024 * 1024)
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print(f" 文件大小: {file_size:.1f} MB")
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print(f" ✅ 文件存在")
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else:
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print(f" ❌ 文件不存在: {file_path}")
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else:
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print("❌ 分镜头生成失败")
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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"❌ 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 False
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def test_scene_detection_directly():
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"""直接测试场景检测功能"""
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print("\n" + "=" * 50)
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print("🎯 直接测试场景检测功能")
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print("=" * 50)
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# 查找assets文件夹中的测试视频
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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(f"❌ 没有找到测试视频文件")
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return False
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test_video_path = str(video_files[0])
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print(f"📹 使用测试视频: {test_video_path}")
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try:
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from python_core.services.media_manager import get_media_manager
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media_manager = get_media_manager()
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# 测试视频信息提取
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print("📊 提取视频信息...")
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video_info = media_manager._get_video_info(test_video_path)
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print(f" 时长: {video_info.get('duration', 0):.2f}秒")
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print(f" 分辨率: {video_info.get('width', 0)}x{video_info.get('height', 0)}")
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print(f" 帧率: {video_info.get('fps', 0):.2f} FPS")
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# 测试场景检测
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print("\n🎯 检测场景变化...")
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scene_changes = media_manager._detect_scene_changes(test_video_path, threshold=30.0)
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print(f" 检测到 {len(scene_changes)} 个场景变化点")
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print(f" 场景时间点: {[f'{t:.2f}s' for t in scene_changes]}")
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# 测试依赖可用性
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print("\n🔍 检查依赖...")
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opencv_available = media_manager.dependency_manager.is_available('opencv')
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scenedetect_available = media_manager.dependency_manager.is_available('scenedetect')
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print(f" OpenCV: {'✅' if opencv_available else '❌'}")
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print(f" PySceneDetect: {'✅' if scenedetect_available else '❌'}")
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return True
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except Exception as e:
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print(f"❌ 场景检测测试失败: {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 main():
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"""主函数"""
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print("🚀 分镜头重新生成测试")
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# 检查环境
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print(f"Python版本: {sys.version}")
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print(f"项目目录: {project_root}")
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try:
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# 直接测试场景检测
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success1 = test_scene_detection_directly()
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# 测试分镜头重新生成
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success2 = test_segment_regeneration()
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if success1 and success2:
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print("\n🎉 所有测试通过！")
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return 0
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else:
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print("\n⚠️ 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"\n❌ 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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