import gzip import sys import os import tqdm import requests import json import fasttext fasttext.FastText.eprint = lambda x: None #Silence useless warning: https://github.com/facebookresearch/fastText/issues/1067 def http_get(url, path): """ Downloads a URL to a given path on disc """ if os.path.dirname(path) != '': os.makedirs(os.path.dirname(path), exist_ok=True) req = requests.get(url, stream=True) if req.status_code != 200: print("Exception when trying to download {}. Response {}".format(url, req.status_code), file=sys.stderr) req.raise_for_status() return download_filepath = path+"_part" with open(download_filepath, "wb") as file_binary: content_length = req.headers.get('Content-Length') total = int(content_length) if content_length is not None else None progress = tqdm.tqdm(unit="B", total=total, unit_scale=True) for chunk in req.iter_content(chunk_size=1024): if chunk: # filter out keep-alive new chunks progress.update(len(chunk)) file_binary.write(chunk) os.rename(download_filepath, path) progress.close() model_path = 'lid.176.bin' if not os.path.exists(model_path): http_get('https://dl.fbaipublicfiles.com/fasttext/supervised-models/'+model_path, model_path) global_fasttext_lang_id = fasttext.load_model(model_path) def lang_detect(text: str) -> str: return global_fasttext_lang_id.predict(text.lower().replace("\r\n", " ").replace("\n", " ").strip())[0][0].split('__')[-1] filepaths = sorted(sys.argv[1:]) output_folder = "question_best_answer_lang" output_files = {} try: for filepath in filepaths: with gzip.open(filepath, 'rt') as fIn: for line in tqdm.tqdm(fIn, desc=filepath): data = json.loads(line) text = data['title']+" "+data['body'] lang = lang_detect(text) if lang not in output_files: output_files[lang] = gzip.open(f"{output_folder}/{lang}.jsonl.gz", "wt") output_files[lang].write(line) finally: for outfile in output_files.values(): outfile.close()