fix: 场景检测

python_core/services/scene_detection/__init__.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+"""
+场景检测服务模块
+"""
+
+from .types import (
+    DetectorType, SceneInfo, VideoSceneResult, 
+    BatchDetectionConfig, BatchDetectionResult, DetectionStats
+)
+from .detector import SceneDetectionService
+from .cli import SceneDetectionCommander
+
+__all__ = [
+    # 数据类型
+    "DetectorType",
+    "SceneInfo", 
+    "VideoSceneResult",
+    "BatchDetectionConfig",
+    "BatchDetectionResult",
+    "DetectionStats",
+    
+    # 服务
+    "SceneDetectionService",
+    
+    # 命令行接口
+    "SceneDetectionCommander"
+]

python_core/services/scene_detection/types.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+"""
+场景检测相关的数据类型定义
+"""
+
+from dataclasses import dataclass
+from typing import List, Optional
+from enum import Enum
+
+class DetectorType(Enum):
+    """检测器类型"""
+    CONTENT = "content"
+    THRESHOLD = "threshold"
+    ADAPTIVE = "adaptive"
+
+@dataclass
+class SceneInfo:
+    """场景信息"""
+    index: int
+    start_time: float
+    end_time: float
+    duration: float
+    confidence: float = 0.0
+    frame_count: int = 0
+    thumbnail_path: Optional[str] = None
+
+@dataclass
+class VideoSceneResult:
+    """单个视频的场景检测结果"""
+    video_path: str
+    filename: str
+    success: bool
+    total_scenes: int
+    total_duration: float
+    scenes: List[SceneInfo]
+    detection_time: float
+    detector_type: str
+    threshold: float
+    error: Optional[str] = None
+
+@dataclass
+class BatchDetectionConfig:
+    """批量检测配置"""
+    detector_type: DetectorType = DetectorType.CONTENT
+    threshold: float = 30.0
+    min_scene_length: float = 1.0
+    adaptive_threshold: bool = False
+    generate_thumbnails: bool = False
+    output_format: str = "json"  # json, csv, txt
+    save_scenes: bool = False
+
+@dataclass
+class BatchDetectionResult:
+    """批量检测结果"""
+    total_files: int
+    processed_files: int
+    failed_files: int
+    total_scenes: int
+    total_duration: float
+    average_scenes_per_video: float
+    detection_time: float
+    results: List[VideoSceneResult]
+    failed_list: List[dict]
+    config: BatchDetectionConfig
+
+@dataclass
+class DetectionStats:
+    """检测统计信息"""
+    total_videos: int
+    total_scenes: int
+    total_duration: float
+    average_duration_per_scene: float
+    shortest_scene: float
+    longest_scene: float
+    most_scenes_video: str
+    least_scenes_video: str