[Model Registry] Create ModelRegistry core Python class

[jaynomyaro]

Summary
This PR introduces the core ModelRegistry Python class, providing a centralized interface for managing machine learning models and their versions. The class encapsulates common registry operations such as model registration, version management, retrieval, updates, and lifecycle handling, establishing the foundation for the Model Registry module.

Changes Made

• Added the core ModelRegistry Python class.
• Implemented model registration and retrieval functionality.
• Added support for creating, retrieving, and managing model versions.
• Encapsulated registry operations behind a clean, reusable API.
• Implemented validation for model names, versions, and required metadata.
• Added error handling for duplicate models, invalid versions, and missing registry entries.
• Designed the class for seamless integration with the SQLAlchemy Model and ModelVersion entities.
• Added comprehensive unit tests covering registration, version creation, retrieval, updates, deletion, and error scenarios.
• Updated developer documentation with class architecture, public APIs, and usage examples.

Benefits

• Provides a centralized abstraction for model registry operations.
• Simplifies model and version lifecycle management.
• Improves code maintainability through a well-defined registry interface.
• Establishes a scalable foundation for future features such as deployments, approvals, artifact management, and model promotion.
• Increases reliability through comprehensive validation and automated testing.

Testing

• Verified successful model registration and retrieval.
• Confirmed version creation and management operations function correctly.
• Tested validation for duplicate models, invalid inputs, and missing records.
• Validated interactions with the underlying SQLAlchemy models.
• Ran the complete test suite to ensure no regressions.
  closed [Model Registry] Create ModelRegistry core Python class #314

[drips-wave]

@jaynomyaro Great news! 🎉 Based on an automated assessment of this PR, the linked Wave issue(s) no longer count against your application limits.

You can now already apply to more issues while waiting for a review of this PR. Keep up the great work! 🚀

Learn more about application limits