is there a limit to the search depth for this?

i’ve got a training script that imports local package files and those items import other local package files. ex:

train.py

from local_package.callbacks import Callbacks

local_package/callbacks.py

from local_package.analysis import Analysis

local_package/analysis.py

import pandas as pd

the original task only lists the following as installed packages:

clearml == 1.9.1rc0
pytorch_lightning == 1.8.6
torchvision == 0.14.1

i’m also using conda, but am using conda for package management, and the local package is installed via poetry.

name: training_env
channels:
  - conda-forge
  - clearml
  - defaults
dependencies:
  - python=3.10
  - black
  - pylint
  - tqdm
  - pyyaml
  - click
  - matplotlib
  - pip
  - poetry
  - pytest
  - scipy
  - scikit-image
  - scikit-learn
  - clearml
  - pip:
      - sox
      - torch
      - torchvision
      - torchaudio
      - pytorch-lightning
      - pandas

i can of course add dependencies to the task manually as shown above, but this feels like a bug? maybe?