how about this one?

import clearml
import os
print("\n".join(open(os.path.join(clearml.__path__[0], "automation/controller.py")).read().split("\n")[310:320]))

Can you please screenshot the INFO tab on the pipeline controller task?

what do you get when you run this code?

from clearml.backend_api import Session
print(Session.check_min_api_server_version("2.17"))

@<1523701435869433856:profile|SmugDolphin23> I run the code in order to step1, step2 and step3. And then I run the "pipeline_from_task.py" scripts. I follow the ClearML documentation so whole of the codes taken from github repo.

It prints "True"

@<1626028578648887296:profile|FreshFly37> can you please screenshot this section of the task? Also, how does your project's directory structure look like?

how did you install clearml?

what about import clearml; print(clearml.__version__)

@<1523701435869433856:profile|SmugDolphin23> I have tried another way by including pipeline.py in the root directory of the code and executed “python3 pipeline.py” & still faced same issue

I also encountered a similar problem. When I run pipeline code I could not see in the deployed pipeline in the ClearML UI and the pipeline's first step does not start in the remote agent machine. It is queued with pending status.

@<1657556312684236800:profile|ManiacalSeaturtle63> can you share how you are creating your pipeline?

@<1523701435869433856:profile|SmugDolphin23> you are right. When I added more worker to queue and it released from pending status. However when I click the pipelines in the screenshoot, I could not see pipeline schema. It shows me "no pipeline to show" text like in below. Do you have any idea ? I should see each step box when I click the pipeline right ?

ok, that is very useful actually

Thank you @<1523701435869433856:profile|SmugDolphin23> It is working now after the addition of repo details into each task. It seems that we need to specify repo details in each task to pull the code & execute the tasks on the worker.

I ran it via IDE. I am using conda environment and when I list the clearml packages it looks like in the below. The interpreter match with base environment.

When I run it from command line everything return back to normal and pipeline is visible for now. Thank you very much for your helps, time and feedbacks 🙂 @<1523701435869433856:profile|SmugDolphin23>

For the clearml-server installation I follow the documentation steps one by one. Link is : None

@<1523701435869433856:profile|SmugDolphin23> I retry the same scenario with clearml==1.14.1 package but still it does not show me the pipelines not showing in the UI :(

@<1523701435869433856:profile|SmugDolphin23> I used clearml==1.13.2 and now I am upgrading to clearml=1.14.1 version.Also I would give extra information about Clearml-server docker-compose file images versions is latest right now.

@<1657556312684236800:profile|ManiacalSeaturtle63> what clearml SDK version are you using? I believe there was a bug related to pipelines not showing in the UI, but that was fixed in clearml==1.14.1

I have attached the screenshot of logs earlier

@<1523701435869433856:profile|SmugDolphin23> I have attached two screenshots, One is pipeline initialization & other one is the task of the pipeline.

The project's directory is as follows:
The pipeline.py includes the code to run the pipeline & tasks of the pipeline.

├── Makefile
├── README.md
├── ev_xxxxxx_detection
│   ├── __init__.py
│   ├── __pycache__
│   │   └── __init__.cpython-311.pyc
│   ├── clearml
│   │   ├── __pycache__
│   │   ├── clearml_wrapper.py
│   │   ├── constants.py
│   │   ├── data_loader.py
│   │   ├── ev_trainer.py
│   │   ├── pipeline.py
│   │   └── util.py
├── poetry.lock
├── pyproject.toml

Regarding pending pipelines: please make sure a free agent is bound to the queue you wish to run the pipeline in. You can check queue information by accessing the INFO section of the controller (as in the first screenshort)
then by pressing on the queue, you should see the worker status. There should be at least one worker that has a blank "CURRENTLY EXECUTING" entry

@<1626028578648887296:profile|FreshFly37> how are you running this locally in the first place?
If you are running pipeline.py with cwd as ev_xx_detection/clearml , then I would not expect you to be able to do from ev_xx_detection.clearml import constants (for example), but import constants directly would work (as constants.py is in the same directory as pipeline.py ). The reason your remote run doesn't work is basically because of this:
cwd is ev_xx_detection/clearml and ev_xx_detection.clearml.constants is imported, but the module that should be imported is actually constants

Hi!
It is possible to use the same queue for the controller and the steps, but there needs to be at least 2 agents that pull tasks from that queue. Otherwise, if there is only 1 agent, then that agent will be busy running the controller and it won't be able to fetch the steps.

Regarding missing local packages: the step is ran in a temporary directory that is different than the directory the script is originally in. To solve this, you could add all the modules/files you are interested in in a git repository. If you do, that repository will be cloned by the agent when running the steps, which will make the packages accessible.

sure, I'll add those details & check. Thank you

@<1523701435869433856:profile|SmugDolphin23> Can you please help me out here

This print string like in below. """
if not self._task:
task_name = name or project or '{}'.format(datetime.now())
if self._pipeline_as_sub_project:
parent_project = (project + "/" if project else "") + self._pipeline_section
project_name = "{}/{}".format(parent_project, task_name)
else:
parent_project = None
project_name = project or 'Pipelines'
# if user disabled the auto-repo, we force local script storage (repo="" or repo=False) """