If you look lower, it is there '/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py'

it has sfi suffix and regular root

which should cover both cases

Notice you have in the Path:
/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfiBut you should have:
/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/

For instance, In my repo, I have a setup.py, how would I run pip install -e .

When I run this line locally, it works fine
from sfi.imagery.models.chip_classifier.eval import eval_chip_classifier

/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-pyYep I see it now, could you simulate locally (i.e have the other folders in the path as well)?
could it be you also have a file somewhere that is called sfi or imagery or models or chip_classifier that it accidently tries to import first from ?

Okay, this worked --packages '-e .'

Would be great if the docker_bash_setup_script had output I could see

BoredHedgehog47 were you able to locate the issue ?

PYTHONPATH is still not working as expected

inside your code if you do :
import os print("PYTHONPATH", os.environ["PYTHONPATH"])what are you getting?

The config change worked but my PYTHONPATH is still not working as expected

PYTHONPATH: /home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi:/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py:/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi/imagery/models/training::/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi:/usr/lib64/python37.zip:/usr/lib64/python3.7:/usr/lib64/python3.7/lib-dynload:/home/npuser/.clearml/venvs-builds/3.7/lib64/python3.7/site-packages:/home/npuser/.clearml/venvs-builds/3.7/lib/python3.7/site-packages

note /home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py is the correct path

note

/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py

is the correct pat

So how come it is failing?
Can you also print sys.path just to be sure ?

basically, can I do local installs vs supplying a requirements.txt

Seems like it has everything I would need

SysPath: ['/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi/imagery/models/training', '/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py/sfi', '/home/npuser/.clearml/venvs-builds/3.7/task_repository/commons-imagery-models-py', '/usr/lib64/python37.zip', '/usr/lib64/python3.7', '/usr/lib64/python3.7/lib-dynload', '/home/npuser/.clearml/venvs-builds/3.7/lib64/python3.7/site-packages', '/home/npuser/.clearml/venvs-builds/3.7/lib/python3.7/site-packages']

This is to address the PYTHONPATH issues

yea IDK, the git repo is a python library. Is it possible to run something like pip install -e . so I can utilize the setup.py?

Seems related to this https://github.com/allegroai/clearml/issues/241

What's the log you are seeing?

Could it be something else is missing and hence the import fails ?

Yea I've done that already but I can do it again

When I run from sfi.imagery import models. It works fine local. So the repo is setup for proper imports. But fails in clearML tasks

Traceback (most recent call last): File "sfi/imagery/models/training/ldc_train_end_to_end.py", line 26, in <module> from sfi.imagery.models.chip_classifier.eval import eval_chip_classifier ModuleNotFoundError: No module named 'sfi.imagery.models'

AgitatedDove14 How would I install using a setup.py in a clearML task?

I was hoping to use docker_bash_setup_script but it didn't work when I ran pip install -e . in the respective script

Not yet AgitatedDove14 Perhaps we can pair on this Monday.

BoredHedgehog47
is this ( https://clearml.slack.com/archives/CTK20V944/p1665426268897429?thread_ts=1665422655.799449&cid=CTK20V944 ) the same issue (or solution) ?