from the clearml logs when setting up the clearml server using kubernetes

i'm looking at the server.py file and it doesn't have call = self. create_api_call(request)

SuccessfulKoala55 do you mean request_handlers.py

you can try to update the clearml.conf it has agent.cuda_version

i would greatly appreciate that!

https://clear.ml/docs/latest/docs/configs/clearml_conf/

i think the call is wrong

` [2022-08-18 20:58:49,892] [9] [INFO] [clearml.request_handlers] GET
[2022-08-18 20:58:49,895] [9] [INFO] [clearml.request_handlers] Basic NUtORklQWUIzM0tIVUFRNUI4SkM6eU4yUXE4RTNvWDlpYlBRVmF1NEpiQXZQMHlUdHozNUluZVY4ZkpuZXNTRnRYbmRlR3I=
[2022-08-18 20:58:49,904] [9] [INFO] [clearml.service_repo] Returned 200 for auth.login in 6ms
[2022-08-18 20:58:50,059] [9] [INFO] [clearml.request_handlers] GET
[2022-08-18 20:58:50,060] [9] [INFO] [clearml.request_handlers] Basic NUtORklQWUIzM0tIVUFRNUI4SkM...

i see what you are saying I dont thinl there would be anything on my system which might do that i can investigate

FLASK_DEBUG: "1" -> should 1 be a string or int?

sure where do i patch it?

AgitatedDove14 yes it is a flask warning, i'm wondering why the clearml server isn't setup with wsgi?

Failed processing request http://localhost:8008/auth.login : 'Logger' object is not callable

should it be http://log.info (...)

1000%

yeah

bugs i understand are better than ones i dont lol

since its a logger object

` from argparse import ArgumentParser

from flask import Flask

from apiserver.config_repo import config
from apiserver.server_init.app_sequence import AppSequence
from apiserver.server_init.request_handlers import RequestHandlers

app = Flask(name, static_url_path="/static")
AppSequence(app).start(request_handlers=RequestHandlers())

=================== MAIN =======================

if name == "main":
p = ArgumentParser(description=doc)
p.add_argument(
"--po...

SuccessfulKoala55 thanks alot for your help i greatly appreciate it, i think you are right that there is something happening with the request, I did some checking i can get it running on another computer (my non work computer), so i think you are right there must be something happening with my work related computer which is causing this to occur 😕 I'll keep trying to drill down on this issue on my work computer to see what the difference is, but I can atleast proceed now to as i g...

i got these extra logs

i.e.
Task.update_output_model(name="custom_model")

%env CLEARML_WEB_HOST={-----}
%env CLEARML_API_HOST={-----}
%env CLEARML_FILES_HOST=undefined
%env CLEARML_API_ACCESS_KEY={-----}
%env CLEARML_API_SECRET_KEY={-----}

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from clearml import Task

# Connecting ClearML with the current process,
# from here on everything is logged automatically
# Create a new task, disable automatic matplotlib connect
task = Task.init(project_name='Something', task_name='Something')

# Create plot and explicitly report as figure
N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = (30 * np.random.rand(N))**2  # 0 to 15 ...

although i wish it would use the credentials in my clearml.conf file automatically

you can use Task.update_output_model() to update the name of the output moel

ahh i see so one Task has multiple models that are trained