RUN apk update && apk upgrade --no-cache RUN /usr/local/bin/python3 -m pip install --upgrade pip RUN /usr/local/bin/python3 -m pip install -r requirements.txt

Worked with python:3.9.11 but didn't work with python:3.9.11-alpine 😮
This is crazy.

` # which python
/Users/anuj.tyagi/clearml_api/venv/bin/python
(venv) LMWPRW6F3:clearml_api root# pip freeze | grep clearml
clearml==1.7.2

Traceback (most recent call last):
File "get_all_task.py", line 8, in <module>
print (client.tasks.get_all())
File "/Users/anuj.tyagi/clearml_api/venv/lib/python3.8/site-packages/clearml/backend_api/session/client/client.py", line 422, in get
result=self.session.send(request_cls(*args, **kwargs)),
File "/Users/anuj.tyagi/clearml_api/venv/lib...

` "tags": [],
"system_tags": [
"interactive"
],
"status_changed": "2022-10-13 17:05:22.844000+00:00",
"status_message": "",
"status_reason": "",
"last_worker": "xxx01:!2c1:cpu:10:service:0a750bd8a09b4063a59c96b4370d0815",
"last_worker_report": "2022-10-30 15:23:18.695000+00:00",
"last_update": "2022-10-30 15:23:18.695000+00:00",
"last_change": "2022-10-30 15:23:18.695000+00:00",
"last_iteration": 0,
"last_metrics": {
"29c6dd717a649...

Yeah exactly. Scalar tab have those but I need to add track in the alert if GPU utilization/gpu memory not in use and experiment in progress then alert. Can I get gpu usage over time frame via API also?

so I think it depends if python:3.9-alpine use x86
which I believe it might be probably

I see it now.

` "5451af93e0bf68a4ab09f654b222ccae": {
"1b790a3da2e8d6cd939cf271694fe81b": {
"metric": ":monitor:gpu",
"variant": "gpu_0_utilization",
"value": 0.0,
"min_value": 0.0,
"max_value": 3.542
},
"409d4e6ad9b69b3224fceeac6e265ddc": {
"metric": ":monitor:gpu",
"variant": "gpu_0_mem_used_gb",
"value": 0.0,
...

` from clearml.backend_api.session.client import APIClient

Create an instance of APIClient

client = APIClient()

users = client.users.get_all() `
I get

Traceback (most recent call last): File "get_all_users.py", line 13, in <module> users = client.users.get_all() AttributeError: 'APIClient' object has no attribute 'users'
Although,
user = Task._get_default_session().send_request("users", "get_all", json={"id": [user_id]})did the work.

SuccessfulKoala55 Thanks. Last one. How do use this task_urls ?

Worked with Bullseye image. Thanks for the suggestion.

Thanks for the reply. If gpu_0_mem_usage is % of GPU memory in use, what is gpu_0_utilization ?

Is gpu_0_utilization also in % then?

https://clear.ml/docs/latest/docs/references/api/definitions#taskstask_urls
tasks.task_urls()
It doesn't mention request parameters in this.

` from clearml.backend_api.session.client import APIClient
from clearml import Task

Create an instance of APIClient

client = APIClient()

tasks = client.tasks.task_urls()
print (tasks) Traceback (most recent call last):
File "get_all_users.py", line 15, in <module>
tasks = client.tasks.task_urls()
AttributeError: 'Tasks' object has no attr...

I am running virtual env too now

oh! yeah. That worked out. Thanks a lot.

Phew. Make sense. I am testing it by updating FROM in dockerfile.
Fingers crossed.

same error for tasks.get_all() endpoint

I found system_tags and all the metrics including CPU but can't find any field mentions GPU scalar reported or GPU utilization.

How can it be even this kind of issue with Python when one endpoint is giving response and other not.

😕 I will using docker_image python:3.9-alpine
I am running a basic python script. Need to use clearml to use it's API

ok thanks

oh! my macos

Thanks SuccessfulKoala55
Also, https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksget_all gives me userID

<tasks.Task: {
"id": "xxx",
"name": "Interactive Session",
"user": "6cfef1d32",
"company": "xxxx",
"type": "application",
"status": "in_progress",
.....

}
I can't find api endpoint to get user name from user_id like "user": "6cfef1d32" above.

AgitatedDove14 It's hard to find to validate that.

SuccessfulKoala55 Yeah, that's possible but then I don't get any firewall will block only one endpoint response. I tried both workers.get_all() and get_stats(), both worked.
Can you share the snippet you used for tasks.get_all() ?

` from clearml.backend_api.session.client import APIClient
from time import time

Create an instance of APIClient

client = APIClient()

tasks = client.tasks.get_all() `This is what I used.
Doc mentions required request Body parameter type. Do I need to add this...

I need to use this image in kubernetes

I found a lot of questions from past chat in this group including by you related to k8 glue with clearml.
Do you mean it recently become part of enterprise version?
AgitatedDove14

ok

FROM python:3.9-alpine

We are running workers as bare metal and clearml-server on Kubernetes. I was trying to find, what are those min and max value for above metrics.

What do you mean by how much is reserved ? Are you running with an agent?

I am missing something in this. Also, I want to use
https://clear.ml/docs/latest/docs/references/api/definitions#taskstask_urls
tasks.task_urls()
It doesn't mention request parameters in this.

` from clearml.backend_api.session.client import APIClient
from clearml import Task

Create an instance of APIClient

client = APIClient()

tasks = client.tasks.task_urls()
print (tasks)
Traceback (most recent call last):
File "get_all_users.py", line 15, in <module>
tasks = client.tasks....