gs-ai-package 0.1.4

Package per associare a dati trasporto pubblico la direzione della tratta

GS AI Package

The GS AI Package is a library developed for standardizing and streamlining internal projects for the GreenShare Experiments team. This package provides a suite of tools to associate directional information with public transport data, specifically for occupancy (crowding) and evasion data provided by public transport companies.

Features

• DirectionProcessor Class: A new class introduced in version 0.1.1.

  • Associates the direction with public transport data.
  • Provides methods to process, normalize, and fill missing values in the data.
  • Uniformizes directional information across various projects.

• Data Processing Functions: Includes functions to:

  • Check if column names are in snake_case.
  • Calculate direction distribution based on the most common values.
  • Fill missing directions using trip-based modes.
  • Uniformize direction values within groups.

Installation

You can install the package from PyPI using pip:

pip install gs_ai_package

For testing and development, you can also install it from TestPyPI:

pip install --index-url https://test.pypi.org/simple/ gs_ai_package

Running Tests

The package includes tests to verify functionality and ensure code quality. To run the tests, follow these steps:

1. Install Testing Dependencies:

   Ensure you have pytest and pytest-cov installed:

   pip install pytest pytest-cov
   

2. Run Tests:

   From the root directory of the project, run:

   pytest --cov=gs_ai_package --cov-report=term-missing
   

   This command runs all tests and shows a coverage report in the terminal.

Documentation

The full documentation for this package is generated using Sphinx and is available online (e.g., via Read the Docs or GitHub Pages).

To build the documentation locally:

1. Navigate to the docs/ folder:

   cd docs
   

2. Build the HTML documentation:

   make html
   

3. Open the generated documentation in your browser by navigating to the build/html/index.html file.

Alternatively, you can use sphinx-autobuild for automatic rebuilding and live preview:

sphinx-autobuild . build/html

Then open http://127.0.0.1:8000 in your browser.

Contributing

Contributions are welcome! If you wish to contribute, please follow these guidelines:

• Fork the repository.
• Create a new branch for your feature or bugfix.
• Write tests for your changes.
• Ensure all tests pass and the coverage is maintained.
• Submit a pull request with a clear description of your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Project URLs

• Source Code: https://gitlab.greenshare.it/pietro.cosseddu/gs-ai-package
• Documentation: (Link to your documentation site, e.g., Read the Docs or GitHub Pages)