It appears to be working now (though I'm still debugging).
Setting the conda environment directly appeared to have solved it:
task.set_base_docker(conda_env)

Hi SuccessfulKoala55 , thanks for the quick reply!

This is a stand-alone code, that creates a task, clones it, and enqueues the cloned task:
` def enqueue_task(trains_prms, task_name, task_type):

# Connect to trains
task = Task.init("OMD", task_name='Temp controller for ' + task_name, task_type=task_type) # , task_type=Task.TaskTypes.controller

# Select queue
trains_queue = "cpu_queue"

# Connect parameters
assert "is_controller_run" not in trains_prms
trains_p...

Thanks for the help!

For debug purposes, in main:
if __name__ == "__main__": prms = enqueue_task({}, "Test task", Task.TaskTypes.custom) print(prms) print("Finished main")And the "print" gets ignored in the enqueued task

Yes!

Thanks Martin.

As you said, changing the order indeed resulted in a working code snippet that correctly identifies the working directory.

From there, it was easy to debug and solve the actual problem.

Thanks!

EDIT: Testing.

Thanks for the quick reply!
Indeed, it works!
Thanks a lot 🙂