""" 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}")