app/services/video_processing/scene_detection.py

import os
import tempfile
from fastapi import HTTPException
from scenedetect import detect, ContentDetector, SceneManager, open_video, scene_manager

class SceneDetector:
    def __init__(self, min_scene_duration: float = 1.5, threshold: int = 30):
        self.min_scene_duration = min_scene_duration
        self.threshold = threshold

    def detect_scenes(self, video_path: str) -> dict:
        """Pipeline complet de détection et de filtrage des scènes."""
        print(f"\n[DEBUG] Starting scene detection on video: {video_path}")
        print(f"[DEBUG] Video file exists: {os.path.exists(video_path)}")
        
        try:
            # Ouvrir la vidéo
            video = open_video(video_path)
            
            # Configurer le détecteur de scènes
            scene_manager = SceneManager()
            scene_manager.add_detector(
                ContentDetector(threshold=self.threshold)
            )
            
            # Détecter les scènes
            scene_manager.detect_scenes(video)
            scenes = scene_manager.get_scene_list()
            
            # Formater les scènes
            formatted_scenes = []
            for scene in scenes:
                start_time = scene[0].get_timecode()
                end_time = scene[1].get_timecode()
                duration = scene[1].get_seconds() - scene[0].get_seconds()
                
                if duration >= self.min_scene_duration:
                    formatted_scenes.append({
                        "start": str(start_time),
                        "end": str(end_time),
                        "recognized_sport": "",  # Sera rempli par le classificateur
                        "confidence": None  # Sera rempli par le classificateur
                    })

            result = {
                "total_scenes": len(formatted_scenes),
                "scenes": formatted_scenes
            }

            # Debug logs
            print("\n[DEBUG] Scene Detection Results:")
            print(f"Total scenes detected: {result['total_scenes']}")
            if result['scenes']:
                print("\nFirst 3 scenes details:")
                for i, scene in enumerate(result['scenes'][:3]):
                    print(f"\nScene {i+1}:")
                    print(f"  Start: {scene['start']}")
                    print(f"  End: {scene['end']}")
                    print(f"  Sport: {scene['recognized_sport']}")
                    print(f"  Confidence: {scene['confidence']}")
            else:
                print("No scenes detected!")
            print("\n")

            return result

        except Exception as e:
            print(f"[ERROR] Scene detection failed: {str(e)}")
            raise HTTPException(status_code=500, detail=f"Scene detection failed: {str(e)}")