# Example usage print(extract_features("path_to_your_file")) This example assumes a very specific filename structure and doesn't account for actual multimedia content analysis. For deeper features like sentiment analysis or object detection, libraries like OpenCV, moviepy, or natural language processing libraries like NLTK, spaCy would be required.

import os from datetime import datetime

def extract_features(file_path): file_name = os.path.basename(file_path) features = {} # Assuming file name format: Oppylany_220223_01-06-34_Min try: parts = file_name.split('_') features['title'] = parts[0] date_str = parts[1] time_str = parts[2].split('-')[0] # Correct index might vary features['date'] = datetime.strptime(date_str, '%y%m%d').strftime('%Y-%m-%d') features['time'] = time_str features['duration'] = parts[2].split('-')[1].split(' ')[0] # Duration in minutes except Exception as e: print(f"An error occurred: {e}") # Add more feature extraction here based on actual file content return features