57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
from functools import reduce
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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 recipes import settings
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def search_recipes(queryset, params):
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search_string = params.get('query', '')
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search_keywords = params.getlist('keywords', [])
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search_foods = params.getlist('foods', [])
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search_books = params.getlist('books', [])
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search_keywords_or = params.get('keywords_or', True)
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search_foods_or = params.get('foods_or', True)
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search_books_or = params.get('books_or', True)
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search_internal = params.get('internal', None)
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search_limit = params.get('limit', None)
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if settings.DATABASES['default']['ENGINE'] in ['django.db.backends.postgresql_psycopg2', 'django.db.backends.postgresql']:
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queryset = queryset.annotate(similarity=TrigramSimilarity('name', search_string), ).filter(Q(similarity__gt=0.1) | Q(name__unaccent__icontains=search_string)).order_by('-similarity')
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else:
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queryset = queryset.filter(name__icontains=search_string)
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if len(search_keywords) > 0:
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if search_keywords_or == 'true':
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queryset = queryset.filter(keywords__id__in=search_keywords)
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else:
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for k in search_keywords:
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queryset = queryset.filter(keywords__id=k)
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if len(search_foods) > 0:
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if search_foods_or == 'true':
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queryset = queryset.filter(keywords__id__in=search_foods)
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else:
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for k in search_foods:
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queryset = queryset.filter(keywords__id=k)
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if len(search_books) > 0:
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if search_books_or == 'true':
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queryset = queryset.filter(keywords__id__in=search_books)
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else:
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for k in search_books:
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queryset = queryset.filter(keywords__id=k)
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queryset = queryset.distinct()
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if search_internal == 'true':
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queryset = queryset.filter(internal=True)
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if search_limit:
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queryset = queryset[:int(search_limit)]
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return queryset
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