I don't know about this, but could you turn your whole project into a pip-installable package using a setup.py and/or pyproject.toml ?

I've never tried this, but maybe then you could do pip install -e . locally before executing the task. Then execute. And then maybe the pip freeze that ClearML does would contain the symlink to your directory.

(so that from my_package import ... statements would work)

ok, it is solved with the force_git_root_python_path: true in clearml.conf

Just chiming in - @<1541954607595393024:profile|BattyCrocodile47> ’s comment is a very good practice, and works well 🙂

That's fabulous. This is definitely how my team prefers to structure projects. I hadn't gotten around to trying that out in our POC of ClearML yet, but I'm certain this is how our group will solve this problem