upstream.py

import os
import csv
import tarfile
import glob


version = '0.0.1'
platforms = {'twitter'}
#platforms = {'twitter', 'youtube', 'twitch'}
splits = {'train'}
#splits = {'train', 'test'}


def upstream(version, platform, split):
    raw_audio_path = f'./audio_raw/{platform}/{split}'
    export_audio_path = f'./audio/{platform}/{split}'
    raw_audio_files = glob.glob(f'{raw_audio_path}/*')
    
    raw_transcript_path = f'./transcript_raw/{platform}/{split}'
    export_transcript_path = f'./transcript/{platform}/{split}'
    raw_transcript_files = glob.glob(f'{raw_transcript_path}/*.csv')

    # export audio files to platform_version.tar
    with tarfile.open(f'{export_audio_path}/{platform}_{split}_{version}.tar', 'w') as tar:
        for file_path in raw_audio_files:
            audio_paths = glob.glob(f'{file_path}/*.mp3')
            folder_name = file_path.replace(raw_audio_path, '').replace('\\', '')
            
            for audio_path in [os.path.basename(f) for f in audio_paths]:
                tar.add(name=f'{file_path}/{audio_path}', arcname=f'{folder_name}_{audio_path}')
    
    # export transcript files to platform_version.csv
    transcripts = []
    for csv_path in raw_transcript_files:
        transcript_id = csv_path.replace(raw_transcript_path, '').replace('\\', '').replace('.csv', '')
        print(transcript_id)
        
        with open(csv_path, 'rt', newline='', encoding="utf-8") as csvfile:
            reader = csv.DictReader(csvfile)
            raw_transcripts = [row for row in reader]
            for raw_transcript in raw_transcripts:
                print(raw_transcript)
                raw_path = raw_transcript['path']
                audio_path = f'{transcript_id}_{raw_path}'
                transcript = {
                    'path': audio_path,
                    'sentence': raw_transcript['sentence']
                }
                transcripts.append(transcript)
    
    with open(f'{export_transcript_path}/{platform}_{split}_{version}.csv', 'wt', newline='', encoding="utf-8") as csvfile:
        fieldnames = ['path', 'sentence']
        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
        writer.writeheader()
        writer.writerows(transcripts)
    
    return


# Do Upstream
for platform in platforms:
    for split in splits:
        upstream(version, platform, split)