def upload_df(self, df: pd.DataFrame) -> None:
if Court.objects.exists():
print('Courts data already uploaded')
return
print('Uploading courts...')
with transaction.atomic():
courts_count = load_courts(df)
print('Detected %d courts' % courts_count)
print('Caching courts config for Locate tasks...')
dict_data_cache.cache_court_config()
def courts_loader(zip_file: ZipFile, files: list) -> None:
if Court.objects.exists():
print('Courts data already uploaded')
return
print('Uploading courts...')
df = load_csv_files(zip_file, files)
with transaction.atomic():
courts_count = load_courts(df)
print('Detected %d courts' % courts_count)
print('Caching courts config for Locate tasks...')
dict_data_cache.cache_court_config()