Yes

Okay, definitely feel better knowing I am not crazy 👍

Thanks

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

I think I'll just switch to docker and mount

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

Okay, thanks for looking into it

You can see installed packages with that script?

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

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

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'll be your n00b w1nd0ws beta tester lol

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

Dang that's not good news for me

I believe this also impacts python 3.8 + windows btw

` 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'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 ?

ah that is perfect, thank you

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

1.1.1

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