` from clearml import Task

args = {'hello': 'world'}

Task.force_requirements_env_freeze()
task = Task.init(project_name='example', task_name="Test")
task.connect(args)
task.execute_remotely() `

I am using Task.force_requirements_env_freeze() (before Task.init) with no requirements file specified (because I do not have one), and my experiments are showing this under packages:

I'm trying to accomplish that but instead of a pip freeze I just get a "Packages will be installed from projects requirements file" even though there is no projects requirements file. Do I need to do something with development.detect_with_pip_freeze ?

No just a dictionary from the pipeline examples:
https://github.com/allegroai/clearml/blob/b010f775bdd72ba6729f5e1e569626692d7b18af/examples/pipeline/step3_train_model.py#L13-L17

Ah interesting, that makes sense thanks

Basically the file URI might be different on a different machine (out of my control) but they point to the same artifact storage location

I think I'll just switch to docker and mount

ah that is perfect, thank you

1.1.1

Okay, thanks for looking into it

I do see that once a task fails the installed package list is updated with a full list of the environment... I don't know if that helps at all

Yes I just did pip list in the env and it worked fine

I believe this also impacts python 3.8 + windows btw

Could it be because some of the packages then point to files?
pyarrow==5.0.0
pandas @ file:///D:/bld/pandas_1624391191530/work

You can see installed packages with that script?

Windows 10, 3.9, using conda but even pip list should output something

Dang that's not good news for me

I'll be your n00b w1nd0ws beta tester lol

Thanks

Okay, definitely feel better knowing I am not crazy 👍

Yes

I believe pipeline_from_tasks.py used to be called pipeline_controller.py