TandoorRecipes/cookbook/filters.py
2020-09-29 14:15:18 +02:00

61 lines
2.2 KiB
Python

import django_filters
from django.contrib.postgres.search import TrigramSimilarity
from django.db.models import Q
from cookbook.forms import MultiSelectWidget
from cookbook.models import Recipe, Keyword, Food, ShoppingList
from django.conf import settings
from django.utils.translation import gettext as _
class RecipeFilter(django_filters.FilterSet):
name = django_filters.CharFilter(method='filter_name')
keywords = django_filters.ModelMultipleChoiceFilter(queryset=Keyword.objects.all(), widget=MultiSelectWidget,
method='filter_keywords')
foods = django_filters.ModelMultipleChoiceFilter(queryset=Food.objects.all(), widget=MultiSelectWidget,
method='filter_foods', label=_('Ingredients'))
@staticmethod
def filter_keywords(queryset, name, value):
if not name == 'keywords':
return queryset
for x in value:
queryset = queryset.filter(keywords=x)
return queryset
@staticmethod
def filter_foods(queryset, name, value):
if not name == 'foods':
return queryset
for x in value:
queryset = queryset.filter(steps__ingredients__food__name=x).distinct()
return queryset
@staticmethod
def filter_name(queryset, name, value):
if not name == 'name':
return queryset
if settings.DATABASES['default']['ENGINE'] == 'django.db.backends.postgresql_psycopg2':
queryset = queryset.annotate(similarity=TrigramSimilarity('name', value), ).filter(
Q(similarity__gt=0.1) | Q(name__icontains=value)).order_by('-similarity')
else:
queryset = queryset.filter(name__icontains=value)
return queryset
class Meta:
model = Recipe
fields = ['name', 'keywords', 'foods', 'internal']
class IngredientFilter(django_filters.FilterSet):
name = django_filters.CharFilter(lookup_expr='icontains')
class Meta:
model = Food
fields = ['name']
class ShoppingListFilter(django_filters.FilterSet):
class Meta:
model = ShoppingList
fields = ['finished']