Asynchronous Python client for the urban datasets of Hamburg (Germany).

About

A python package with which you can retrieve data from the Urban Data Platform of Hamburg 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 hamburg

Datasets

You can read the following datasets with this package:

• Disabled parking spaces / Behindertenstellplätze (901)
• Park and rides occupancy / Park + Ride Anlagen (33)
• Garages occupancy / Parkhäuser (45 live data / 124 total)

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
spot_id	string	The ID of the parking spot
street	string	The street name
limitation	string	Some locations have window times where the location is only specific for disabled parking, outside these times everyone is allowed to park there
number	string	The number of parking spots on this location
longitude	float	The longitude of the parking spot
latitude	float	The latitude of the parking spot

Park and Rides

Variable	Type	Description
spot_id	string	The ID of the park and ride
name	string	The name of the park and ride
park_type	string	The parking type of the park and ride
address	string	The address of the park and ride
construction_year	string	The year the park and ride was constructed
public_transport_line	string	The public transport line the park and ride is connected to
disabled_parking_spaces	int	The number of disabled parking spaces on the park and ride
tickets	dict	The type of tickets available for the park and ride
url	string	The URL of the park and ride where you can find more information
free_space	int	The number of free spaces on the park and ride
capacity	int	The capacity of the park and ride
availability_pct	float	The percentage of the park and ride that is available
longitude	float	The longitude of the park and ride
latitude	float	The latitude of the park and ride
updated_at	datetime	The date and time the park and ride was last updated

Garages

Extra parameters to filter the data:

• set_filter (default: None) - Allows you to filter based on filter expressions, see here for more information.

Variable	Type	Description
spot_id	string	The ID of the garage
name	string	The name of the pgarage
park_type	string	The parking type of the garage
disabled_parking_spaces	int	The number of disabled parking spaces in the garage
status	string	The status of the garage (frei, nahezu belegt, besetzt or keine Auslastungsdaten)
address	string	The address of the garage
price	string	The price list that is used for parking in a garage
data_origin	string	Where data originally comes from
free_space	int	The number of free spaces in the garage
capacity	int	The capacity of the garage
availability_pct	float	The percentage that is still available in the garage
longitude	float	The longitude of the garage
latitude	float	The latitude of the garage
updated_at	datetime	The date and time the garage was last updated

Example

import asyncio

from hamburg import UDPHamburg


async def main() -> None:
    """Show example on using the UDP Hamburg API client."""
    async with UDPHamburg() as client:
        disabled_parkings = await client.disabled_parkings()
        park_and_rides = await client.park_and_rides()
        garages = await client.garages()
        print(disabled_parkings)
        print(park_and_rides)
        print(garages)


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! 😍

Setting up development environment

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

Installation

Install all packages, including all development requirements:

poetry install

Poetry creates by default an virtual environment where it installs all necessary pip packages.

Pre-commit

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 install

And to run all checks and tests manually, use the following command:

poetry run pre-commit run --all-files

Testing

It uses pytest as the test framework. To run the tests:

poetry run pytest

To update the syrupy snapshot tests:

poetry run pytest --snapshot-update

License

MIT 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.

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.