Refactor All Applications to Separate Data and Logic #4
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This change adds thorough documentation to the entire repository, fulfilling the user's request for full docstring coverage. The following types of documentation have been added to all relevant Python scripts: - Module-level docstrings providing a high-level overview of each file's purpose. - Google-style docstrings for every function and callback, detailing their purpose, arguments, and return values. - Descriptive inline comments for all Dash `app` instances and `layout` structures to clarify their roles and organization. This comprehensive documentation improves the maintainability of the codebase and makes it easier for new developers to understand the structure and functionality of the various dashboards.
This change refactors all the Dash applications in the repository to improve their structure and maintainability. The primary changes include: - **Data Extraction**: All hardcoded data has been extracted from the application scripts and moved into separate `.csv` files. This decouples the data from the application logic, making it easier to update and manage the data in the future. - **Logic Separation**: For the V3 dashboard, the machine learning model training logic has been moved into its own `model.py` module. This makes the main application script cleaner and more focused on the visualization components. - **Project Structure Update**: The `README.md` file has been updated to reflect the new file organization, including the new `data` directory and the `model.py` file. These changes make the codebase more modular, easier to understand, and more aligned with best practices for building data-driven applications.
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This pull request introduces a major refactoring of all the Dash applications in the repository. The hardcoded data has been extracted into separate
.csvfiles, and the machine learning logic has been moved into its own module. These changes significantly improve the structure and maintainability of the codebase.PR created automatically by Jules for task 17862520802744804244