I ran the wizard liek a milion times

and I'm using the same credentials

I have them only in one place

oops m ybad

Okay martin, I'll try that

I think I got it, I'll ping her again if it won't succeed

AgitatedDove14
So I couldn't kill the service agent myself (permission denied, I'm not sudo). What I did is I docker-compose down ed, commented out only the environment variable of GOOGLE_APPLICATION_CREDENTIALS from the clearml services agent service and upped the docker-compose again. I enqueued the Cleanup Service and now it works. Really weird, looks like the setting of GOOGLE_APPLICATION_CREDENTIALS causes an error when set even though I'm 100% is it not used for storag...

Here you go

(I'm working with maria)

essentially, what maria says is when she has a script with uncomitted changes, when executing remotely, the script that actually runs on the remote machine is without the uncomitted changes

e.g.:
Her git status is clean, she makes some changes to script.py and executes it remotely. What gets executed remotely is the original script.py and not the modified version she has locally

AgitatedDove14 all I did was to cerate this metric as "last" and then turned on the "max" and "min" and then turned them off

I can't reproduce it now but:
I restarted the services and it didn't help I deleted the columns, and created them again after a while and it helped

Do you have any idea as to why does that happen SuccessfulKoala55

👍

Yep, the warnings no longer appear

I'll try

the path to the JSON file

AgitatedDove14 ?

When I ran the clearml-task --name ... -project ... -script .... it failed saying not requiremetns was found

Cool - what kind of objects are returned by .artifacts. getitem ? I want to check their docs

Okay so at the first part of the code, we define some kind of callback that we add to our steps, so later we can collect them and attach the results to the pipeline task. It looks something like this

` class MedianPredictionCollector:
_tasks_to_collect = list()

@classmethod
def collect_description_tables(cls, pipeline: clearml.PipelineController, node: clearml.PipelineController.Node):

    # Collect tasks
    cls._tasks_to_collect.append(node.executed)

@classmethod...

no git submodules

👍

I see it's a plotly plot, even though I report a matplotlib one

Can I force it to output the static image?

Is there a way to do so without touching the config? directly through the Task object?

so basically - if she has new commits locally that werent pushed it won't work

But if she did not commit her latest changes, and now she enqueues - it will work?

` ClearML launch - launch any codebase on remote machine running clearml-agent
Creating new task

Error: requirements.txt not found [/home/elior/Dev/Projects/XXXXX/requirements.txt] Use --requirements or --packages `

e.g. docker-compose restart