def modeltransform_wait(job_id: str,
client: Client,
output: widgets.Output,
wait_interval: int = DEFAULT_WAIT_INTERVAL,
wait_timeout: int = DEFAULT_WAIT_TIMEOUT):
job_id_output = widgets.Output()
update_status_output = widgets.Output()
with output:
display(job_id_output, update_status_output)
with job_id_output:
print(f'Wait called on endpoint creation job {job_id}')
with update_status_output:
beginning_time = datetime.datetime.utcnow()
while datetime.datetime.utcnow() - beginning_time < (
datetime.timedelta(seconds=wait_timeout)):
update_status_output.clear_output()
status_res = client.modeltransform_status(job_id)
status_res.raise_for_status()
status = status_res.json()
if status['status'] in ['Completed', 'Failed', 'Stopped']:
print('modeltransform is finished')
return status
else:
print(f'Status is {status["status"]}')
print(f'Waiting for {wait_interval} before checking again...')
time.sleep(wait_interval)
def modeltransform_status(args: argparse.Namespace, client: Client,
output: widgets.Output):
if args.wait:
return modeltransform_wait(args.job_id, client, output)
else:
status_res = client.modeltransform_status(args.job_id)
status_res.raise_for_status()
return status_res.json()