Source code for

from haystack import views

from import user_search
from oscar.core.loading import get_class, get_model

Product = get_model('catalogue', 'Product')
FacetMunger = get_class('search.facets', 'FacetMunger')

[docs]class FacetedSearchView(views.FacetedSearchView): """ A modified version of Haystack's FacetedSearchView Note that facets are configured when the ``SearchQuerySet`` is initialised. This takes place in the search application class. See # noqa """ # Haystack uses a different class attribute to CBVs template = "search/results.html" search_signal = user_search def __call__(self, request): response = super().__call__(request) # Raise a signal for other apps to hook into for analytics self.search_signal.send( sender=self, session=self.request.session, user=self.request.user, query=self.query) return response # Override this method to add the spelling suggestion to the context and to # convert Haystack's default facet data into a more useful structure so we # have to do less work in the template.
[docs] def extra_context(self): extra = super().extra_context() # Show suggestion no matter what. Haystack 2.1 only shows a suggestion # if there are some results, which seems a bit weird to me. if self.results.query.backend.include_spelling: # Note, this triggers an extra call to the search backend suggestion = self.form.get_suggestion() if suggestion != self.query: extra['suggestion'] = suggestion # Convert facet data into a more useful data structure if 'fields' in extra['facets']: munger = FacetMunger( self.request.get_full_path(), self.form.selected_multi_facets, self.results.facet_counts()) extra['facet_data'] = munger.facet_data() has_facets = any([len(data['results']) for data in extra['facet_data'].values()]) extra['has_facets'] = has_facets # Pass list of selected facets so they can be included in the sorting # form. extra['selected_facets'] = self.request.GET.getlist('selected_facets') return extra
[docs] def get_results(self): # We're only interested in products (there might be other content types # in the Solr index). return super().get_results().models(Product)