Going for something like this:
` >>> queue = QueueMetrics(queue='queueid')

queue.avg_waiting_times `

Usually that is shown here... for some reason it's not showing

Are there any errors in the server that might indicate issues with writing the queue stats?

cool thanks - I'll try it out

I'll like to call Run Time via the task object.... I think I need to calculate manually

i.e.

task = clearml.Task.get_task(id) time = task.data.last_update - task.data.started

<queues.GetQueueMetricsResponse: { "queues": [] }>

Hi RobustRat47 , I'm not sure I understand the question...?

this is the response. We are using the clearml hosted server

` client.queues.get_default()

Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/opt/conda/lib/python3.9/site-packages/clearml/backend_api/session/client/client.py", line 378, in new_func
return Response(self.session.send(request_cls(*args, **kwargs)))
File "/opt/conda/lib/python3.9/site-packages/clearml/backend_api/session/client/client.py", line 122, in send
raise APIError(result)
clearml.backend_api.session.client.client.APIError: APIError: code 400/707: No queue is tagged as the default queue for this company `

hi RobustRat47
the field name is active_duration, and it is expressed in seconds

to access it for the task my_task , do my_task.d ata.active_duration

RobustRat47 getting the default queue ID should be enough

ahhh okay thank you 🙂

yes exactly

you can try something like this - which reproduces the gui behavior

` import math
import datetime
from clearml.backend_api.session.client import APIClient

client = APIClient()
q = client.queues.get_all(name='queue-2')[0]
n = math.floor(datetime.timestamp(datetime.now()))
res = client.queues.get_queue_metrics(from_date=n-1, to_date=n, interval=1, queue_ids=[q.id]) `Be careful though of the null value in the results. It happens when the there are values in the res than intervals between start and stop dates

next one I'm looking for is average queue time

please note from_date and to_date need to be epoch floats (casted to in, they should represent milliseconds, not microseconds)

what do you mean ? the average time that the tasks are waiting before being executed by an agent ? that is to say the average difference between enqueue time and beginning time ?

can you please try to replace client.queues.get_all by client.queues.get_default ?
this is a specific function for retrieving the default queue 🙂

I also noticed that my queue stats haven't been updated since 7/1/2022 @ 12:41am

Umm no luck

q = client.queues.get_all(name='default')[0] from_date = math.floor(datetime.timestamp(datetime.now() - relativedelta(months=3))) to_date = math.floor(datetime.timestamp(datetime.now())) res = client.queues.get_queue_metrics(from_date=from_date, to_date=to_date, interval=1, queue_ids=[q.id])