Bugfixing mlflow registry linting issue

[bcdurak]

Describe changes

I implemented/fixed _ to achieve _.

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Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
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Summary by CodeRabbit

• New Features

  • Improved handling of mlflow_run_id assignment for better integration with model metadata.

• Bug Fixes

  • Enhanced reliability in storing mlflow_run_id by switching to an attribute-based approach.

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Walkthrough

Walkthrough

The changes involve modifying the assignment of the mlflow_run_id within the mlflow_register_model_step function. The original implementation checked for the presence of mlflow_run_id in metadata.model_extra and assigned it if absent. The new implementation uses getattr and setattr to manage mlflow_run_id as an attribute of the metadata object, shifting from a dictionary-based approach to an attribute-based approach.

Changes

Files	Change Summary
src/zenml/integrations/mlflow/steps/mlflow_registry.py	Modified the assignment method for mlflow_run_id from checking a dictionary to using object attributes.

Poem

In the meadow where bunnies play,
A change was made to brighten the day.
With mlflow_run_id now snug and neat,
Attributes dance, oh what a treat!
Hopping along, we cheer and sing,
For code that flows like spring's sweet spring! 🐇✨

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