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Asynchronous Python client providing Open Data information of dresden

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Python - ODP Dresden Client

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Asynchronous Python client for the open datasets of Dresden (Germany).

About

A python package with which you can retrieve data from the Open Data Platform of Dresden 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 dresden

Datasets

You can read the following datasets with this package:

  • Disabled parking spaces / Parken für Menschen mit Behinderungen (476)

There are a number of parameters you can set to retrieve the data:

  • limit (default: 10) - How many results you want to retrieve.
Click here to get more details

Disabled parking spaces

Variable Type Description
entry_id integer The ID of the disabled parking spot
number integer The number of parking spots on this location
usage_time string Some locations have window times where the location is only specific for disabled parking, outside these times everyone is allowed to park there
photo string URL that points to a photo that shows where the location is
created_at datetime The date when this location was added to the dataset
longitude float The longitude of the parking spot
latitude float The latitude of the parking spot

Example

import asyncio

from dresden import ODPDresden


async def main() -> None:
    """Show example on using the Dresden API client."""
    async with ODPDresden() as client:
        disabled_parkings = await client.disabled_parkings()
        print(disabled_parkings)


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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