if container_manager.unknowns():
# Upload Unknowns file
unknown_path = container_manager.generate_unknowns()
upload = DL.upload_file(unknown_path, unifier_io.folder_data['id'])
os.remove(unknown_path)
slack(f'Unknowns found: uploaded {unifier_io.path}/{upload["name"]}') if SLACK else False
else:
# Upload knowns, gap, new, for_transformer
new_known_path = known_path.replace('_unifier', '_unifier_expanded')
os.rename(known_path, new_known_path)
upload = DL.upload_file(new_known_path, unifier_io.folder_data['id'])
analize_last_run(container_manager)
transformer_file = container_manager.generate_minimized()
DL.upload_file(transformer_file, unifier_io.folder_data['id'])
os.remove(transformer_file)
os.remove(new_known_path)
slack(f'No unknowns found: uploaded {unifier_io.path}/{upload["name"]} + {transformer_file["name"]}') if SLACK else False
print('finished', container, upload['name'])
##########################
### Unknowns Completed ###
for drive_file in unknowns_learned_queue:
# Download file
DL.clear_storage()
print('downloading', drive_file['name'])
csv_path = DL.download_file(drive_file)
