download_audio.py

"""
https://stackoverflow.com/questions/31353244/how-to-config-wget-to-retry-more-than-20
"""
import os
import tarfile
import zipfile
import gzip
import subprocess
from os.path import join as p_join
from tqdm import tqdm
from multiprocessing import Pool
from typing import Optional

import pandas as pd


url_metadata_s2s = "https://dl.fbaipublicfiles.com/seamless/data/seamless_align_nov2023_extension/seamless.dataset.metadata.public.enA-jaA.tsv.gz"
url_metadata_s2t = "https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz"
cache_dir_root = "download"
cache_dir_audio = p_join(cache_dir_root, "audio")
cache_dir_metadata = p_join(cache_dir_root, "meta")
n_pool = int(os.getenv("N_POOL", 8))
wget_max_retry = os.getenv("MAX_RETRY", "1")
wget_timeout = os.getenv("TIMEOUT", "20")
data = os.getenv("DATA", "s2s")


def wget(url: str, cache_dir: str, filename: Optional[str] = None):
    os.makedirs(cache_dir, exist_ok=True)
    filename = os.path.basename(url) if not filename else filename
    output_file = p_join(cache_dir, filename)
    subprocess.run(["wget", url, "-O", output_file, "--tries", wget_max_retry, "--timeout", wget_timeout])
    if not os.path.exists(output_file):
        return False
    if output_file.endswith('.tar.gz') or output_file.endswith('.tgz') or output_file.endswith('.tar'):
        if output_file.endswith('.tar'):
            tar = tarfile.open(output_file)
        else:
            tar = tarfile.open(output_file, "r:gz")
        tar.extractall(cache_dir)
        tar.close()
        os.remove(output_file)
    elif output_file.endswith('.gz'):
        with gzip.open(output_file, 'rb') as f:
            with open(output_file.replace('.gz', ''), 'wb') as f_write:
                f_write.write(f.read())
        os.remove(output_file)
    elif output_file.endswith('.zip'):
        with zipfile.ZipFile(output_file, 'r') as zip_ref:
            zip_ref.extractall(cache_dir)
        os.remove(output_file)
    return True


def get_metadata(url: str):
    filename = os.path.basename(url).replace(".gz", "")
    if not os.path.exists(filename):
        assert wget(url, cache_dir=cache_dir_metadata)
    df = pd.read_csv(p_join(cache_dir_metadata, filename), sep=r'[\t\s]', header=None)[[0, 2, 6, 9, 10, 11, 12]]
    df.columns = ["id", "url", "text_lid_score", "laser_score", "direction", "side", "line_no"]
    return df


def get_audio(url: str, filename: str):
    if not os.path.exists(p_join(cache_dir_audio, filename)):
        return wget(url, filename=filename, cache_dir=cache_dir_audio)
    return True


def process_dataset(url_metadata):
    df_metadata = get_metadata(url_metadata)
    print(f"load metadata: {url_metadata}, ({len(df_metadata)} rows)")
    inputs = [(
        r['url'], f"{r['id']}.{r['direction']}.{r['side']}.{os.path.basename(r['url'])}"
    ) for _, r in df_metadata.iterrows()]
    inputs = [x for x in inputs if not os.path.exists(p_join(cache_dir_audio, x[1]))]
    print(f"{len(inputs)} urls to download")
    if n_pool == 1:
        for url, filename in tqdm(inputs, total=len(inputs)):
            flag = get_audio(url, filename)
            if not flag:
                print(f"failed:\n{url}")
    else:
        with Pool(n_pool) as pool:
            pool.starmap(get_audio, tqdm(inputs, total=len(inputs)))


if __name__ == '__main__':
    if data == "s2s":
        process_dataset(url_metadata_s2s)
    elif data == "s2t":
        process_dataset(url_metadata_s2t)
    else:
        raise ValueError(f"unknown data type {data}")