Skip to main content

Add your description here

Project description

Introduction

This is an unofficial API for the Athlon-Flex. The supported endpoints are found by checking network traffic while interacting with the web app. It will not expose all available endpoints, but mainly those to load available vehicles.

Installation

Install this package using pip:

pip install athlon-flex-api

Getting Started

To use this package, you should start by instantiating the API client.

from athlon_flex_api.api import AthlonFlexApi
api = AthlonFlexApi(
    email="youremail@example.com"
    password="YourVeryStrongPassword",
    gross_yearly_income=100000, # Optional
    apply_loonheffingskorting=True, # Optional, Defaults to True
)

The email and password arguments are required. You can optionally provide an (approximation) of your yearly gross income, and whether you apply loonheffingskorting. These two values will be used to figured the tax percentage belonging to your income. this information is included in API calls, resulting in Athlon providing a calculated Net costs of your vehicle.

Entity Definitions

When you open the Athlon Flex Dashboard, you are presented with a grid of available cars. These cars are internally called VehicleClusters. This name makes sense, because a car is actually a collection of car instances: Athlon often has several cars available of the same make and model. A VehicleCluster is therefor defined by its make and model. This is a VehicleCluster of the make Mercedes-Benz and the model A-Klasse: VehicleCluster Currently, Athlon has 2 Vehicles in this cluster available: Vehicles

Examples

Load VehicleClusters

Use the following code to load all VehicleClusters:

from athlon_flex_api.models.filters.vehicle_cluster_filter import NoFilter
from athlon_flex_api.models.vehicle_cluster import DetailLevel, VehicleClusters
from athlon_flex_api.models.vehicle_cluster import 
vehicles_clusters: VehicleClusters = api.vehicle_clusters(
    filter_=NoFilter(), # Optional
    detail_level=DetailLevel.INCLUDE_VEHICLES, # Optional
)
print(vehicles_clusters)

Filter

The filter parameter is optional. We distinguish the following possible values:

  • [Default]None includes the filters as loaded from the users profile. This excludes any VehicleClusters that are not leasable with the budget of th user. This mimics the web app when logged in.
  • NoFilter() does not include any filter in the request. This mimics the web app when not logged in.
  • VehicleClusterFilter() provides custom filter values. Take a look at the VehicleClusterFilter class to check what filters are available.

Detail level

The detail level is optional. It provides the possibility to define the level of details in the response. Loading more details requires more api calls, hence the function will take longer to complte. We distinguish the following possible values:

  • [Default]DetailLevel.INCLUDE_VEHICLE_DETAILS loads all clusters and their vehicles. The vehicles will have all their detailed properties loaded.
  • DetailLevel.INCLUDE_VEHICLES loads all clusters and their vehicles. The vehicles will have some basic properties loaded, but many are not.
  • DetailLevel.CLUSTER_ONLY loads all clusters, but not their vehicles.

Load Vehicles

With the vehicle_cluster function, all available data clusters and vehicles can be loaded. However, if you wish to load vehicles of a certain make and model manually, you can use the following code:

from athlon_flex_api.models.vehicle import Vehicle
from athlon_flex_api.models.filters.vehicle_filter import NoFilter
    vehicles: list[Vehicle] = api.vehicles(
        make="Mercedes-Benz",
        model="A-Klasse",
        filter_=NoFilter(), # Optional
    )
print(vehicles)

Filter

The filter parameter is optional. We distinguish the following possible values:

  • [Default]None includes the filters as loaded from the users profile. This excludes any Vehicles that are not leasable with the budget of th user. It also defines some price calculation properties.
  • NoFilter() does not include any filter in the request. All available Vehicles of the provided make and model will be loaded.
  • VehicleFilter() provides custom filter values. Take a look at the VehicleFilter class to check what filters are available.

Note that above function will load the vehicles without extra details. To load all available details, call the vehicle_details function for each vehicle:

from athlon_flex_api.models.vehicle import Vehicle
vehicle_detailed: Vehicle = api.vehicle_details(vehicle)
print(vehicles)

Tax Rates

Athlon provides a TaxRates endpoint, providing a list of TaxRate items. These include a description indicating the gross yearly income rates which belong to the TaxRate, and whether to include loonheffingskorting in the calculation of net prices. The TaxRate also includes the percentage of tax rate that must be paid with this income / loonheffingskorting combination. The Api uses this endpoint internally, to provide these details with other requests. This information causes the api to include net-price computations, like the netCostPerMonthInEuro in the Vehicle class.

The endpoint is also made available for use, using the following code snippet:

from athlon_flex_api.models.tax_rate import TaxRates
tax_rates: TaxRates = api.tax_rates()
print(tax_rates)

Profile

The Profile includes information about the users account, like the lease budget, address, and available kilometers per month. The API uses it internally, for example to filter the Vehicles that are leasable by the user. The endpoint exposes the profile using a cached property. Use the following code snippet:

from athlon_flex_api.models.profile import Profile
profile: Profile = api.profile
print(profile)

Load data asynchronously

The Api uses aiohttp to load data using asyncio. Therefor, all functionality is made available through function suffixed with async. Every async method is also made available synchronously (as is shown in the examples above), by removing the suffix _async. If you would like to include the API in an asynchronnous context, it is advices to use the asynchronous functionality instead. For example:

import asyncio
from athlon_flex_api.api import AthlonFlexApi
from athlon_flex_api.models.vehicle_cluster import DetailLevel, VehicleClusters

async def main() -> None:
    api = AthlonFlexApi(email="youremail@example.com", password="YourVeryStrongPassword")
    vehicle_clusters: VehicleClusters = await api.vehicle_clusters_async(
        detail_level=DetailLevel.CLUSTER_ONLY
    )
    print(vehicle_clusters)

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

athlon_flex_api-0.1.1.tar.gz (157.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

athlon_flex_api-0.1.1-py3-none-any.whl (15.9 kB view details)

Uploaded Python 3

File details

Details for the file athlon_flex_api-0.1.1.tar.gz.

File metadata

  • Download URL: athlon_flex_api-0.1.1.tar.gz
  • Upload date:
  • Size: 157.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for athlon_flex_api-0.1.1.tar.gz
Algorithm Hash digest
SHA256 4f0270881fb66f9c9b81899bb04f51d3c7fa4b301dceb491411743849c6de06d
MD5 15cda8f3902540aae5825c3d98737f6b
BLAKE2b-256 9018906797348aa38e45bc3a112982d3fcdbde025dc997516f47ff4579b2407c

See more details on using hashes here.

File details

Details for the file athlon_flex_api-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for athlon_flex_api-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 cb08ad7450976a8a115d7cf922f3c180a7c14648c20620f4b4fcc422bc1471ca
MD5 e0aa6bdfd3b3ee5585bd012258c43d54
BLAKE2b-256 834945fb41b1d6c886856bcf5657a44bd06c8611d019c7e5fa80718205c2f066

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page