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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()
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