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