Package: namur
Asynchronous Python client for the open datasets of Namur (Namen - Belgium).AboutA python package with which you can retrieve data from the Open Data Platform of Namur viatheir 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.InstallationpipinstallnamurDatasetsYou can read the following datasets with this package:Parking / Parking - EmplacementsClick here to get more detailsParking spacesYou can use the following parameters in your request:limit(default: 10) - How many results you want to retrieve.parking_type(default: 1) - See the list below to find the corresponding number.parking_typenumbercounterPlace normale1Too muchDevant accès/garage25540PMR3305Dépose-minute4195Livraison580Police672Taxi730Car-sharing825Recyclage925Car1011Bus scolaire116Borne électrique122Réservé131You get the following output data back with this python package:VariableTypeDescriptionspot_idstringThe id of the parking spotparking_typestringThe type of parking of the parking spotstreetstringThe street name where this parking spot is locatedlongitudefloatThe longitude of the parking spotlatitudefloatThe latitude of the parking spotcreated_atdatetimeWhen this parking spot was created in the datasetupdated_atdatetimeWhen this parking spot was updated in the datasetExampleimportasynciofromnamurimportODPNamurasyncdefmain()->None:"""Show example on using the API of Namur."""asyncwithODPNamur()asclient:parkings=awaitclient.parking_spaces(limit=10,parking_type=1)print(parkings)if__name__=="__main__":asyncio.run(main())Use casesNIPKaart.nlA 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.ContributingThis 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 ourcontribution guidelines.Thank you for being involved! :heart_eyes:Setting up development environmentThe simplest way to begin is by utilizing theDev Containerfeature 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 onPoetryas its dependency manager,
providing comprehensive management and control over project dependencies.
You need at least:Python 3.11+PoetryInstall all packages, including all development requirements:poetryinstallPoetry creates by default an virtual environment where it installs all
necessary pip packages, to enter or exit the venv run the following commands:poetryshellexitSetup the pre-commit check, you must run this inside the virtual environment:pre-commitinstallNow you're all set to get started!As this repository uses thepre-commitframework, all changes
are linted and tested with each commit. You can run all checks and tests
manually, using the following command:poetryrunpre-commitrun--all-filesTo run just the Python tests:poetryrunpytestLicenseMIT LicenseCopyright (c) 2022-2023 Klaas SchoutePermission 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,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.