🔨 Refactor Engine args: Create workspace directory from API

[samet-akcay]

📝 Description

• This PR creates the results directory from the Engine, not CLI.

Limitations

• It is still not fully complete. We need to ensure that we correctly create this from the entry points.
• Callbacks are to be created before trainer, see #1642

✨ Changes

Select what type of change your PR is:

• 🐞 Bug fix (non-breaking change which fixes an issue)
• 🔨 Refactor (non-breaking change which refactors the code base)
• 🚀 New feature (non-breaking change which adds functionality)
• 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
• 📚 Documentation update
• 🔒 Security update

✅ Checklist

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• 📋 I have summarized my changes in the CHANGELOG and followed the guidelines for my type of change (skip for minor changes, documentation updates, and test enhancements).
• 📚 I have made the necessary updates to the documentation (if applicable).
• 🧪 I have written tests that support my changes and prove that my fix is effective or my feature works (if applicable).

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[djdameln]

Something going wrong here. Can you investigate?

>>> from anomalib.engine import Engine
>>> from anomalib.models import Padim
>>> from anomalib.data import MVTec
>>>
>>> engine = Engine()
>>> model = Padim()
>>> data = MVTec()
>>>
>>> engine.train(model, datamodule=data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/djameln/anomalib/src/anomalib/engine/engine.py", line 721, in train
    self._setup_workspace(model, train_dataloaders, val_dataloaders, test_dataloaders, datamodule)
  File "/home/djameln/anomalib/src/anomalib/engine/engine.py", line 299, in _setup_workspace
    root_dir = self._cache.args["default_root_dir"] / model.name / dataset_name / category
TypeError: unsupported operand type(s) for /: 'str' and 'str'

[ashwinvaidya17]

Thanks! Just a few comments