p3.py

import youtube_dl
import moviepy.editor as mp
import speech_recognition as sr
import json

def extract_video_data(video_url):
    """
    Extracts metadata, transcript (optional), and timestamps (optional) from a YouTube video.
    
    Args:
        video_url: The URL of the YouTube video.

    Returns:
        A dictionary containing the extracted video data.
    """

    ydl_opts = {
        'format': 'best',  # Download the best available quality
        'quiet': True,      # Suppress output
    }

    with youtube_dl.YoutubeDL(ydl_opts) as ydl:
        info_dict = ydl.extract_info(video_url, download=False)  # Get metadata without downloading

        video_data = {
            "duration": info_dict.get('duration', 0),  # Video duration in seconds
            "image_id": None,  # You'll need to handle image extraction separately if needed
            "plays": info_dict.get('view_count', 0), 
            "created_at": info_dict.get('upload_date', ''), 
            "size": None,  # You'll likely need to download the video to get its size
            "transcodings": [],  # We'll populate this later if transcribing
            "title": info_dict.get('title', ''),
            "updated_at": None,  # YouTube doesn't provide this directly
            "account_id": info_dict.get('channel_id', ''), 
            "progress": 1.0,  # Assuming video is fully processed
            "original_movie": {
                "http_uri": None,  # You'll need to download to get this
                "size": None
            },
            "tags": info_dict.get('tags', []),
            "id": info_dict.get('id', ''),
            "aspect_ratio_multiplier": None,  # You'll need to calculate this from video dimensions
            "screenshot": {
                "normal": info_dict.get('thumbnail', ''),
                "thumb": None,  # You might need to generate thumbnails yourself
                "original": info_dict.get('thumbnail', '')
            },
            "state": "ready"  # Assuming video is ready
        }

        # Optionally, extract transcript and timestamps
        if EXTRACT_TRANSCRIPT:
            video_data['transcodings'], video_data['size'] = extract_transcript_and_timestamps(video_url)

        return video_data

def extract_transcript_and_timestamps(video_url):
    """
    Extracts transcript and timestamps from a YouTube video using SpeechRecognition.

    Args:
        video_url: The URL of the YouTube video.

    Returns:
        A tuple containing:
            - A list of transcoding dictionaries (potentially empty if transcription fails).
            - The size of the downloaded video file in bytes (or None if download fails).
    """

    # ... (Implementation for downloading video, transcribing audio, and generating timestamps)

    return transcodings, video_size

# Main execution
if __name__ == "__main__":
    video_url = "https://www.youtube.com/watch?v=hf--vE6dVOQ"  # Replace with your video URL
    EXTRACT_TRANSCRIPT = False  # Set to True if you want to extract transcript and timestamps

    video_data = extract_video_data(video_url)

    # Save to JSON file
    with open("video_data.json", "w") as f:
        json.dump(video_data, f, indent=4)