Asynchronous Python client for the open datasets of Köln (Germany).
A python package with which you can retrieve data from the Open Data Platform of Köln 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.
pip install koelnYou can read the following datasets with this package:
- Disabled parking spaces / Behindertenparkplätze (441 locations)
Click here to get more details
| Variable | Type | Description |
|---|---|---|
entry_id |
integer | The ID for the parking location |
number |
integer | The number of the parking spaces on this location |
district |
string | The district name where the parking location is located |
district_nr |
integer | The district number where the parking location is located |
note |
string | A note about the parking location |
longitude |
float | The longitude of the parking location |
latitude |
float | The latitude of the parking location |
import asyncio
from koeln import StadtKoeln
async def main() -> None:
"""Show example on using the API of Köln."""
async with StadtKoeln() as client:
disabled_parkings = await client.disabled_parkings()
print(disabled_parkings)
if __name__ == "__main__":
asyncio.run(main())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.
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! 😍
The simplest way to begin is by utilizing the Dev Container feature of Visual Studio Code or by opening a CodeSpace directly on GitHub. By clicking the button below you immediately start a Dev Container in Visual Studio Code.
This Python project relies on Poetry as its dependency manager, providing comprehensive management and control over project dependencies.
You need at least:
- Python 3.11+
- Poetry
Install all packages, including all development requirements:
poetry installPoetry creates by default an virtual environment where it installs all necessary pip packages.
This repository uses the pre-commit framework, all changes are linted and tested with each commit. To setup the pre-commit check, run:
poetry run pre-commit installAnd to run all checks and tests manually, use the following command:
poetry run pre-commit run --all-filesIt uses pytest as the test framework. To run the tests:
poetry run pytestTo update the syrupy snapshot tests:
poetry run pytest --snapshot-updateMIT License
Copyright (c) 2022-2024 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.
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