Runtime dependency on setuptools from importing distutils

[jmahlik]

Describe the bug Distutils was removed from the standard library in python 3.12. Environments created under 3.12 no longer contain setuptools by default. Distutils itself is also deprecated.

There's a few usages of distutils in the sagemaker python sdk. They are easily replaced by shutil. I do see a comment in sagemaker.workflow._repack_model about not wanting to use shutil. But with the dirs_exist_ok=True parameter added in python 3.8, it wouldn't fail on existing directories. So all supported python versions now have an alternative.

https://github.com/aws/sagemaker-python-sdk/blob/e163807110924fc0c63ca236848507702fd30ded/src/sagemaker/workflow/_repack_model.py#L30-L35

git grep -e distutils
.pylintrc:ignored-modules=distutils
src/sagemaker/local/image.py:from distutils.spawn import find_executable
src/sagemaker/local/utils.py:from distutils.dir_util import copy_tree
src/sagemaker/local/utils.py:    """A wrapper around distutils.dir_util.copy_tree.
src/sagemaker/workflow/_repack_model.py:# distutils.dir_util.copy_tree works way better than the half-baked
src/sagemaker/workflow/_repack_model.py:from distutils.dir_util import copy_tree
tests/data/_repack_model.py:# distutils.dir_util.copy_tree works way better than the half-baked
tests/data/_repack_model.py:from distutils.dir_util import copy_tree
tests/unit/test_chainer.py:from distutils.util import strtobool

I'll submit a PR to remove the deprecated calls in the source.

To reproduce A clear, step-by-step set of instructions to reproduce the bug. The provided code need to be complete and runnable, if additional data is needed, please include them in the issue.

# No setuptools installed by default
python3.12 -m venv
# or virtualenv venv --py 3.12
. venv/bin/activate
# Install from current master
python -m pip install -e .[local]
python -c 'import sagemaker.local.image'
...
    from distutils.spawn import find_executable
  ModuleNotFoundError: No module named 'distutils'

Expected behavior Imports do not fail.

Screenshots or logs If applicable, add screenshots or logs to help explain your problem.

System information A description of your system. Please provide:

• SageMaker Python SDK version: master
• Framework name (eg. PyTorch) or algorithm (eg. KMeans): n/a
• Framework version: n/a
• Python version: 3.12
• CPU or GPU: cpu
• Custom Docker image (Y/N): n

Additional context Add any other context about the problem here.

[eflanagan0]

Thank you for taking the time to document and attempt fixing this @jmahlik!

As a new user of AWS SageMaker, I am running into this bug when attempting to deploy a model using the SageMaker SDK.

[eflanagan0]

relates to #3028