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Comprehensive Codebase Cleanup, Reorganization, and Docstring Update

Maxim Martyshov requested to merge 177-codebase-cleanup-and-reorganization into main

Merge Request Description

This merge request encapsulates a broad range of efforts aimed at enhancing the maintainability, readability, and overall quality of our project's codebase. This includes a comprehensive cleanup and reorganization of the file and module structures, along with a systematic update of docstrings throughout the codebase.

The updated file and module organization is designed to be intuitive and align with industry best practices, thus improving navigation and comprehension for all team members, including newcomers.

In addition, we've updated docstrings to provide accurate, concise, and useful information about the corresponding code. This step enhances understanding for developers and provides valuable input for automated documentation.

Merge Request Goal

The main goal of this merge request is to:

  1. Improve the file organization to make it more intuitive and align with best practices.
  2. Reorganize modules to be well-structured, logical, and compatible with the software's overall architecture.
  3. Update docstrings across the codebase to ensure they are concise, accurate, and provide useful information.
  4. Generate PyDoc3 documentation from the updated docstrings for automated documentation support.

Acceptance Criteria

  • File organization is improved and aligns with industry best practices.
  • Modules are logically reorganized and fit into the software's architecture.
  • Docstrings are updated to be concise, accurate, and helpful.
  • PyDoc3 documentation is successfully generated from the updated docstrings.

Additional Notes

This merge request represents significant efforts in terms of improving code quality, enhancing scalability, and supporting future growth. During the process, special attention was given to minimize any potential disruption of functionality and thorough testing was conducted to ensure all features remained intact.

It should be noted that while we estimate a 1-day timeframe for this task, it is a comprehensive task involving careful refactoring and testing to ensure optimal results without any unintended disruptions.

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