import os
import subprocess

import torchaudio

from typing import Dict, Literal

log_file = 'amt/log.txt'
def prepare_media(source_path_or_url: os.PathLike,
                  source_type: Literal['audio_filepath', 'youtube_url'],
                  delete_video: bool = True,
                  simulate = False) -> Dict:
    """prepare media from source path or youtube, and return audio info"""
    # Get audio_file
    if source_type == 'audio_filepath':
        audio_file = source_path_or_url
    elif source_type == 'youtube_url':
        if os.path.exists('/download/yt_audio.mp3'):
            os.remove('/download/yt_audio.mp3')
        # Download from youtube
        with open(log_file, 'w') as lf:
            audio_file = './downloaded/yt_audio'
            command = ['yt-dlp', '-x', source_path_or_url, '-f', 'bestaudio',
                '-o', audio_file, '--audio-format', 'mp3', '--restrict-filenames',
                '--extractor-retries', '10',
                '--force-overwrites', '--username', 'oauth2', '--password', '', '-v']
            if simulate:
                command = command + ['-s']
            process = subprocess.Popen(command,
                stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
        
            for line in iter(process.stdout.readline, ''):
                # Filter out unnecessary messages
                print(line)
                if "www.google.com/device" in line:
                    hl_text = line.replace("https://www.google.com/device", "\033[93mhttps://www.google.com/device\x1b[0m").split()
                    hl_text[-1] = "\x1b[31;1m" + hl_text[-1] + "\x1b[0m"
                    lf.write(' '.join(hl_text)); lf.flush()
                elif "Authorization successful" in line or "Video unavailable" in line:
                    lf.write(line); lf.flush()
            process.stdout.close()
            process.wait()
        
        audio_file += '.mp3'
    else:
        raise ValueError(source_type)

    # Create info
    info = torchaudio.info(audio_file)
    return {
        "filepath": audio_file,
        "track_name": os.path.basename(audio_file).split('.')[0],
        "sample_rate": int(info.sample_rate),
        "bits_per_sample": int(info.bits_per_sample),
        "num_channels": int(info.num_channels),
        "num_frames": int(info.num_frames),
        "duration": int(info.num_frames / info.sample_rate),
        "encoding": str.lower(info.encoding),
        }