def callback(self, target, producer, stop_event, path_qty, path_list,
task):
if stop_event.is_set():
raise NeuralNetworkStopExceptions(
'Neural network stopped by client')
start_qty = path_qty - len(path_list)
progress = int((start_qty + self._count) * 100 / path_qty)
result = {'path': path_list[self._count], 'target': target}
msg = {
'result': result,
'status': 'In progress {}%'.format(progress),
'extra': {}
}
producer.publish(body=json.dumps(msg))
self._store_result(result, task)
if progress % 5 == 0:
HUEY.emit_task(status='in progress', task=task, progress=progress)
self._count += 1
