Fetch and parse Studierendenwerk Aachen's canteen menu
This Python module allows to fetch and parse the current week's menu of the university canteens in Aachen from the Studierendenwerk Aachen's website. The module is build on top of the popular libraries Requests and Beautifulsoup4.
Typical usage:
import mensa_aachen
dishes = mensa_aachen.get_dishes(mensa_aachen.Canteens.MENSA_ACADEMICA)Which will yield a result in a form like
{
datetime.date(2020, 1, 20):
Menu(
main_dishes=[
Dish(
menu_category='Tellergericht',
main_component=DishComponent(
title='Bulgureintopf',
flags=[]),
aux_components=[
DishComponent(
title='Kichererbsen, Gemüse',
flags=[<Flags.ANTIOXIDATIONSMITTEL: '3'>, <Flags.GLUTEN: 'A'>, <Flags.WEIZEN: 'A1'>])
],
meat=[<MeatType.VEGAN: 4>, <MeatType.VEGETARIAN: 3>],
price=Decimal('1.80'),
nutritional_values=NutritionalValues(caloric_val=None, fat=None, carbs=None, protein=None)),
Dish(
menu_category='Vegetarisch',
main_component=DishComponent(
title='Spätzlepfanne',
flags=[]),
aux_components=[
DishComponent(
title='Röstzwiebeln',
flags=[<Flags.GLUTEN: 'A'>, <Flags.SELLERIE: 'B'>, <Flags.EIER: 'D'>, <Flags.MILCH: 'H'>, <Flags.WEIZEN: 'A1'>, <Flags.DINKEL: 'A5'>]),
DishComponent(
title='Käsesauce',
flags=[<Flags.FARBSTOFF: '1'>, <Flags.MILCH: 'H'>])], meat=[<MeatType.VEGETARIAN: 3>],
price=Decimal('2.10'),
nutritional_values=NutritionalValues(caloric_val=3857.0, fat=44.6, carbs=97.1, protein=32.0)),
...],
side_dishes=[
Dish(
menu_category='Hauptbeilagen',
main_component=DishComponent(
title='Nudelreis',
flags=[<Flags.GLUTEN: 'A'>, <Flags.WEIZEN: 'A1'>]),
aux_components=[],
meat=[],
price=None,
nutritional_values=NutritionalValues(caloric_val=1859.0, fat=11.0, carbs=72.0, protein=12.0)),
Dish(
menu_category='Nebenbeilage',
main_component=DishComponent(
title='Rosenkohl',
flags=[]),
aux_components=[],
meat=[],
price=None,
nutritional_values=NutritionalValues(caloric_val=502.0, fat=8.0, carbs=6.6, protein=5.5)),
...]
),
datetime.date(2020, 1, 21):
Menu(...),
...
}The types Menu, Dish, DishComponent, and NutritionalValues, used in the result, are NamedTuples.
Flags and MeatType are Enums.
The value of each member of Flags corresponds to the abbreviation used in the menu.
For more information about the fields and available enum options, please take a look at the module's source code.
The module can be installed from its git repository via pip:
pip install git+https://github.com/mhthies/mensa_aachen.git@master
This neat library is published under the terms of the MIT license.