GH-50: feat(pipeline): Add serialization for columns

[Urfoex]

Defines a pydantic model for a pipeline's column information and integrates it into the PipelineInformation structure, replacing a TODO.

Implements the serialize_columns function to convert from the getML library's Columns object to the new pydantic model.

Updates unit and integration tests to include the new 'columns' field, ensuring correctness and updating test fixtures.

Resolves: #50

[Copilot]

Pull Request Overview

This PR implements serialization support for pipeline column information by defining a new pydantic Column model and integrating it into the existing pipeline serialization structure.

Key changes:

• Adds a new Column pydantic model with index, name, marker, table, target, and importance fields
• Implements serialize_columns function to convert from getML's Columns object to the pydantic model
• Updates the PipelineInformation model to include a columns field, replacing a TODO placeholder

Reviewed Changes

Copilot reviewed 10 out of 10 changed files in this pull request and generated no comments.

File	Description
src/getml_io/getml/columns.py	Defines the new Column pydantic model
src/getml_io/metadata/pipeline_information.py	Adds columns field to PipelineInformation model
src/getml_io/serialize/pipeline.py	Implements serialize_columns function and integrates it into pipeline serialization
Test files	Updates unit and integration tests to include the new columns field in expected outputs

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[Urfoex]

/gemini review

[gemini-code-assist]

Code Review

This pull request effectively adds serialization for pipeline column information. The new Column pydantic model is well-defined, and the integration into PipelineInformation is clean. The serialize_columns function correctly handles the conversion, and the tests have been updated accordingly. I've provided a couple of suggestions to improve robustness and test maintainability. Overall, great work!

[srnnkls]

lgtm.