47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
import django_filters
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from django.contrib.postgres.search import TrigramSimilarity
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from django.db.models import Q
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from cookbook.forms import MultiSelectWidget
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from cookbook.models import Recipe, Keyword, Ingredient
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from django.conf import settings
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from django.utils.translation import gettext as _
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class RecipeFilter(django_filters.FilterSet):
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name = django_filters.CharFilter(method='filter_name')
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keywords = django_filters.ModelMultipleChoiceFilter(queryset=Keyword.objects.all(), widget=MultiSelectWidget,
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method='filter_keywords')
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ingredients = django_filters.ModelMultipleChoiceFilter(queryset=Ingredient.objects.all(), widget=MultiSelectWidget,
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method='filter_ingredients', label=_('Ingredients'))
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@staticmethod
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def filter_keywords(queryset, name, value):
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if not name == 'keywords':
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return queryset
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for x in value:
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queryset = queryset.filter(keywords=x)
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return queryset
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@staticmethod
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def filter_ingredients(queryset, name, value):
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if not name == 'ingredients':
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return queryset
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for x in value:
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queryset = queryset.filter(recipeingredient__ingredient=x).distinct()
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return queryset
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@staticmethod
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def filter_name(queryset, name, value):
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if not name == 'name':
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return queryset
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if settings.DATABASES['default']['ENGINE'] == 'django.db.backends.postgresql_psycopg2':
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queryset = queryset.annotate(similarity=TrigramSimilarity('name', value), ).filter(
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Q(similarity__gt=0.1) | Q(name__icontains=value)).order_by('-similarity')
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else:
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queryset = queryset.filter(name__icontains=value)
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return queryset
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class Meta:
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model = Recipe
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fields = ['name', 'keywords', 'ingredients']
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