Here is a sample from the end of the logs where it failed:

/home/megan/code/direct-relief-forecasting/forecast.py:277: FutureWarning:
The behavior of DatetimeProperties.to_pydatetime is deprecated, in a future version this will return a Series containing python datetime objects instead of an ndarray. To retain the old behavior, call `np.array` on the result
2024-07-04 12:14:04.589 | INFO     | forecast:infer:281 - Inferring for dates: ['2024-06-13']
2024-07-04 12:14:04.734 | INFO     |...

I think I found it: None

Will this work for pipelines too, which are also Tasks, right?

Ah, I see, this makes sense now. Thank you!

It says N/A for Status?

Run is still marked as "Completed"

Yes, I have a log in for the clearml server and I've set up an agent using a docker image. And I've added the ssh keys here. I then start the agent with clearml-agent daemon --queue direct-relief-forecasting --cpu-only -d But, then when I try run the pipeline remotely, I'm getting the error above.

I found this issue but not sure if it's the same thing as it's from awhile back: None And the link I'm trying to clone doesn't start with https but with git@bitbucket

Hi @<1523701070390366208:profile|CostlyOstrich36> , another quick question, can you run a pipeline on a schedule or are schedules only for Tasks? We are battling to figure out how to automate the pipelines.

I just cleared the cache, but still getting the error:

Python executable with version '3.10' requested by the Task, not found in path, using '/usr/local/bin/python3' (v3.9.9) instead
created virtual environment CPython3.9.9.final.0-64 in 661ms
  creator CPython3Posix(dest=/root/.clearml/venvs-builds/3.9, clear=False, no_vcs_ignore=False, global=True)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/root/.local/share/virtualenv)
 ...

Hi there, I am getting this exact same error. I have set force_git_ssh_protocol: true and have commented out the git_user and git_pass , but still getting the error. Is the only way to fix this to clear the cache? Do you have to do this every time then?

@<1523701070390366208:profile|CostlyOstrich36> here is the INFO section:

Thanks, @<1523701070390366208:profile|CostlyOstrich36> .

If I use Task.current_task() , I then get a task object back that looks like <clearml.task.Task object at 0x7f7723b90a00> . How does one get the url from this?

I've tried changing the clearml.conf file to specify the python_binary with:

 python_binary: "usr/bin/python3"

But, still getting the same error.

Yes, it does. And I can clone this repo and branch to the server outside of clearml just using git clone .... as I've added ssh keys and authenticated.

Error when executing schedule with a pipeline task ID defined:

Launching job: ScheduleJob(name='Simple Pipeline Schedule Run Test', base_task_id='4cf5b603e3ae4593a8c2dd6c34190c6d', base_function=None, queue='megan_testing', target_project=None, single_instance=False, task_parameters={}, task_overrides={}, clone_task=True, _executed_instances=None, execution_limit_hours=None, recurring=True, starting_time=datetime.datetime(1970, 1, 1, 0, 0), minute=2, hour=None, day=None, weekdays=['mon...

Hi @<1523701205467926528:profile|AgitatedDove14> , thanks for your reply. We want to use the Scheduler but to run a pipeline. Looking at this example here, it looks like it only works with tasks: None

So, in my code example above, where I have executing_pipeline as the pipeline function created with the decorator, can this be scheduled to run with the TaskScheduler , ie. used as the function...

Ah ok, so if I have two steps, this means 3 queues with 3 agents, one for the controller and one each dedicated to the steps, just to confirm?

Thanks @<1523701070390366208:profile|CostlyOstrich36> , I've figured this out and specified how to build the ClearML agent now with the correct python version.

For reference for anyone else, this is what I did:

current_task = Task.current_task()
model_run_url = Task.get_task_output_log_web_page(
        task_id=current_task.id,
        project_id="abc")

/usr/lib/python3/dist-packages/requests/__init__.py:89: RequestsDependencyWarning: urllib3 (1.25.8) or chardet (5.1.0) doesn't match a supported version!
  warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
Current configuration (clearml_agent v1.7.0, location: /tmp/.clearml_agent.r_86l8jq.cfg):
----------------------
agent.worker_id = megan-vm
agent.worker_name = vm
agent.force_git_ssh_protocol = true
agent.python_binary = 
agent.package_manager.type = poetry
agent...

@<1523701205467926528:profile|AgitatedDove14> Hi! Could you give any feedback on the above? We are trying to figure out if/how we can run pipelines on a schedule and also trigger them with an external event.

Ah, great, thanks.

I have an agent running and assigned to the queue megan-testing :

@<1523701070390366208:profile|CostlyOstrich36> , a quick follow up, I've been looking at the ClearML API documentation to see how to trigger a pipeline via the API. Do you use queues and add_task , as specified here: None ?

Here is an example of the pipeline code, simplified:

"""Forecasting Pipeline"""

from clearml.automation.controller import PipelineDecorator
from clearml import TaskTypes

@Pipe...

Hi @<1523701205467926528:profile|AgitatedDove14> , I'm still having issues with this set up. See my latest comment here: None

I created a new queue megan-testing and have an agent running on my machine that I assigned to it. It works when I just use a simple task and schedule it, but when I try run the pipeline, it says it can't find the queue.

Ok, thanks! Going to try this now. I included an entry point from reading some other messages on Slack here when trying to figure out how to use Docker for running remotely.

Thanks @<1523701070390366208:profile|CostlyOstrich36> , that does sound like an option. Can you point me to the documentation for this API call as I haven't been able to find anything?

This is schedule.py where the schedule_task_id is the id for a pipeline that has previously been run and now we want to schedule it:

from clearml import Task
from clearml.automation import TaskScheduler

if __name__ == "__main__":

    scheduler = TaskScheduler(force_create_task_name='megan-test-remote-pipeline')

    scheduler.add_task(
        name='Simple Pipeline Schedule Run Test',
        schedule_task_id='94a7e898bb3f4494a31828187710f5bd',
        queue='megan_testing',
...

Following up, I found this in the code on Github: None

A taskid is required though - to get this id would we run the pipeline manually as it then shows up in the Web UI and then just use the id of the task that we can get from the UI by clicking on the pipeline run info?

Sorry, was trying to figure out how to do this. So, looks like I can't as get an error NameError: name 'ssh' is not defined