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Asynchronous Python client providing Open Data information of Gent

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Asynchronous Python client for the open datasets of Gent (Belgium).

About

A python package with which you can retrieve data from the Open Data Platform of Gent via their API. This package was initially created to only retrieve parking data from the API, but the code base is made in such a way that it is easy to extend for other datasets from the same platform.

Installation

pip install odp-gent

Datasets

You can read the following datasets with this package:

  • Parking garages occupancy (12 locations)
  • Park and Ride occupancy (5 locations)
Click here to get more details

Parking garages

Parameters:

  • limit (default: 10) - How many results you want to retrieve.
Variable Type Description
garage_id string The id of the garage
name string The name of the garage
parking_type string The type of parking
url string The url with more information about the garage
is_open boolean Whether the garage is open or not
free_parking boolean Whether there is free parking or not
temporary_closed boolean Whether the garage is temporarily closed or not
free_space integer The amount of free parking spaces
total_capacity integer The total capacity of the garage
availability_pct float The percentage of free parking spaces
occupancy_pct integer The percentage of occupied parking spaces
longitude float The longitude of the garage
latitude float The latitude of the garage
updated_at datetime The last time the data was updated

Park and Ride

Parameters:

  • limit (default: 10) - How many results you want to retrieve.
  • gentse_feesten - Whether a park and ride location is used for the Gentse Feesten.
Variable Type Description
spot_id string The id of the park and ride
name string The name of the park and ride
parking_type string The type of parking
url string The url with more information about the park and ride
is_open boolean Whether the park and ride is open or not
free_parking boolean Whether there is free parking or not
temporary_closed boolean Whether the park and ride is temporarily closed or not
gentse_feesten boolean Whether the park and ride is used for the Gentse Feesten
free_space integer The amount of free parking spaces
total_capacity integer The total capacity of the park and ride
availability_pct float The percentage of free parking spaces
occupancy_pct integer The percentage of occupied parking spaces
longitude float The longitude of the park and ride
latitude float The latitude of the park and ride
updated_at datetime The last time the data was updated

Example

import asyncio

from odp_gent import ODPGent


async def main() -> None:
    """Show example on using the Open Data API client."""
    async with ODPGent() as client:
        garages = await client.garages(limit=12)
        park_and_rides = await client.park_and_rides(limit=5, gentse_feesten="True")
        print(garages)
        print(park_and_rides)


if __name__ == "__main__":
    asyncio.run(main())

Use cases

NIPKaart.nl

A website that provides insight into where disabled parking spaces are, based on data from users and municipalities. Operates mainly in the Netherlands, but also has plans to process data from abroad.

Contributing

This is an active open-source project. We are always open to people who want to use the code or contribute to it.

We've set up a separate document for our contribution guidelines.

Thank you for being involved! :heart_eyes:

Setting up development environment

This Python project is fully managed using the Poetry dependency manager.

You need at least:

Install all packages, including all development requirements:

poetry install

Poetry creates by default an virtual environment where it installs all necessary pip packages, to enter or exit the venv run the following commands:

poetry shell
exit

Setup the pre-commit check, you must run this inside the virtual environment:

pre-commit install

Now you're all set to get started!

As this repository uses the pre-commit framework, all changes are linted and tested with each commit. You can run all checks and tests manually, using the following command:

poetry run pre-commit run --all-files

To run just the Python tests:

poetry run pytest

License

MIT License

Copyright (c) 2022 Klaas Schoute

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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