def upload_df(self, df: pd.DataFrame) -> None:
if Term.objects.exists():
print('Terms data already uploaded')
return
print('Uploading terms...')
with transaction.atomic():
terms_count = load_terms(df)
print('Detected %d terms' % terms_count)
print('Caching terms config for Locate tasks...')
dict_data_cache.cache_term_stems()
def terms_loader(zip_file: ZipFile, files: list) -> None:
if Term.objects.exists():
print('Terms data already uploaded')
return
print('Uploading terms...')
df = load_csv_files(zip_file, files)
with transaction.atomic():
terms_count = load_terms(df)
print('Detected %d terms' % terms_count)
print('Caching terms config for Locate tasks...')
dict_data_cache.cache_term_stems()