I have attached the screenshot of logs earlier

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.

@<1523701435869433856:profile|SmugDolphin23> Sure, Thank you for the suggestion. I'll try to add imports as mentioned by you and execute the pipeline & check the functionality.

In Local I'm running using python3 pipelin.py and used pipe.start_locally(run_pipeline_steps_locally=True) in the pipeline to initialize & it's working fine.

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

@<1523701435869433856:profile|SmugDolphin23> , I’ve updated both the ClearML server and client to the latest version, 1.14.0, as per our previous conversation. However, I’m still encountering the same issue as described earlier.
WebApp: 1.14.0-431
Server: 1.14.0-431
API: 2.28

I attempted to use the same queue for both the controller and the steps, and assigned two workers to this queue. Upon executing the code, the pipeline was initiated on the “queue_remote” queue, and the tasks of the pipeline were also initiated on another worker in the “queue_remote” queue. However, the dataset creation failed because it was unable to locate the Python modules from the current directory as shown in the below screenshot.

Note: I stored the code and its dependencies in a GitHub repository when I executed the pipeline.

Please refer to the attached error screenshot and the code I used to run the pipeline for more details

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.

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) """

@<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

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

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

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

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]))

@<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.

Oh I see. I think there is a mismatch between some clearml versions on your machine? How did you run these scripts exactly? (like the CLI, for example python test.py ?)

Or if you ran it via an IDE, what is the interpreter path?

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

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>

@<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 ?

There are two task available in the experiments list as you can see in below. I click the step_1 INFO tab and informations like this. There is no available pipeline controller task maybe thats why UI does not show up the pipeline.

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

It prints "1.13.3rc0"

@<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

@<1626028578648887296:profile|FreshFly37> I see that create_dataset doesn't have a repo set. Can you try setting it manually via the repo repo_branch repo_commit arguments in the add_function_step method?

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.

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.

@<1626028578648887296:profile|FreshFly37> can you share also logs of task ? It may give an idea.

how did you install clearml?

@<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

ok, that is very useful actually