GH-17: feat(pipeline): Add serialization for pipeline features

[Urfoex]

Implements the serialization of the features attribute from a getML Pipeline object.

• Adds new Pydantic models Feature and Features to represent feature metadata.
• Updates PipelineInformation to include the features field.
• Implements the serialize_features function to convert getML features into the new Pydantic model.
• Adds comprehensive unit tests and updates integration test data.

[Copilot]

Pull Request Overview

This PR implements serialization of the features attribute from getML Pipeline objects by adding new Pydantic models and updating the pipeline serialization process.

• Adds Feature and Features Pydantic models to represent feature metadata including name, index, target, importance, correlation, and SQL
• Updates PipelineInformation to include the features field and implements the serialize_features function
• Adds comprehensive unit tests and updates integration test data to validate the new functionality

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
src/getml_io/getml/features.py	Defines new Feature and Features Pydantic models for feature metadata
src/getml_io/metadata/pipeline_information.py	Updates PipelineInformation to include features field
src/getml_io/serialize/pipeline.py	Implements serialize_features function and updates pipeline serialization
tests/unit/types.py	Adds type definitions for testing feature types
tests/unit/conftest.py	Adds mock fixtures for testing feature serialization
tests/unit/serialize/test_pipeline.py	Adds unit test for serialize_features function
tests/unit/serialize/test_pipeline_information.py	Updates expected data to include empty features field
tests/unit/metadata/test_pipeline_information.py	Updates test data with comprehensive feature examples
tests/integration/data/	Updates integration test data with actual feature serialization output

Comments suppressed due to low confidence (1)

tests/unit/types.py:54

• [nitpick] The trailing comma should be retained for consistency with the rest of the type union. Consider changing this to | Sequence[str] without removing the comma on the next line.

    | float

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[gemini-code-assist]

Code Review

This pull request successfully implements the serialization of the features attribute from a getML Pipeline object. It introduces new Pydantic models for features, updates the PipelineInformation model, and adds the corresponding serialization logic. The changes are well-tested with new unit tests and updated integration test data. The code is clean and follows good practices. I have one suggestion for a minor improvement in the serialization logic to enhance conciseness and robustness.

[srnnkls]

Perfect.

[awaismirza92]

LGTM