1.1.1

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

I think I'll just switch to docker and mount

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

I'll be your n00b w1nd0ws beta tester lol

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:

Dang that's not good news for me

Yes

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

Okay, definitely feel better knowing I am not crazy 👍

Ah interesting, that makes sense thanks

I believe this also impacts python 3.8 + windows btw

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

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

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

ah that is perfect, thank you

Okay, thanks for looking into it

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

` 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 ?

Thanks