product search with ranking is working
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@@ -467,8 +467,6 @@ class ProductSearchTest(TestCase):
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self.factory(tags="lunares/azules", description="zapatos rojos"),
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self.factory(tags="lunares/rojos", description="zapatos"),
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self.factory(attributes='"zapatos de campo", tono/oscuro'),
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# TODO: workaround for v3 with multi-word tags
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# self.factory(attributes='zapatos, "zapatos de campo", tono/oscuro'),
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]
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unexpected_instances = [
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self.factory(description="chanclas"),
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@@ -549,18 +547,29 @@ class FindRelatedProductsTest(APITestCase):
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# clear table
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self.model.objects.all().delete()
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def test_v3_find_by_single_tag(self):
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def test_v3_find_by_tags(self):
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# create tagged product
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tag = 'cool'
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expected_instances = [
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self.factory(tags=tag)
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self.factory(tags=tag),
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self.factory(tags=f'{tag} hat'),
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self.factory(tags=f'temperatures/{tag}'),
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self.factory(tags=f'temperatures/{tag}, body/hot'),
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self.factory(tags=f'temperatures/{tag}, hats/{tag}'),
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# multiple hits
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self.factory(tags=tag, attributes=tag),
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self.factory(tags=tag, attributes=tag, category=tag),
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self.factory(tags=tag, attributes=tag, category=tag, name=tag),
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self.factory(tags=tag, attributes=tag, category=tag, name=tag, description=tag),
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]
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# instance = self.factory()
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# instance.tags.set(tag)
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# instance.save()
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unexpected_instances = [
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self.factory(tags="notcool"), # shouldn't catch it
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self.factory(tags="azules"),
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]
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# searh for it
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results = find_related_products_v3(tag)
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import ipdb; ipdb.set_trace()
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# assert result
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self.assertTrue(len(results) == len(expected_instances))
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@@ -568,3 +577,4 @@ class FindRelatedProductsTest(APITestCase):
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@@ -114,25 +114,21 @@ def find_related_products_v3(keyword):
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SearchVectors for the fields
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SearchQuery for the value
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SearchRank for relevancy scoring and ranking
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PROBLEM: returns unrelated instances
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"""
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# TODO: figure out why it includes unrelated instances
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# fields=('name', 'description', 'tags__label', 'attributes__label', 'category__name')
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vector = SearchVector('name') + SearchVector('description') + SearchVector('tags__label') + SearchVector('attributes__label') + SearchVector('category__name')
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query = SearchQuery(keyword)
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products_qs = Product.objects.annotate(
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rank=SearchRank(vector, query)
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).filter(rank__gt=0.05).order_by('-rank')
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).filter(rank__gt=0.05) # removed order_by because its lost in casting
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return set(products_qs)
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def find_related_products_v4(keyword):
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"""
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Using trigrams
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Similarity-ranked search using trigrams
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Not working
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"""
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# fields=('name', 'description', 'tags__label', 'attributes__label', 'category__name')
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@@ -23,7 +23,7 @@ from companies.models import Company
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from history.models import HistorySync
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from back_latienda.permissions import IsCreator
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from .utils import extract_search_filters, find_related_products_v5, find_related_products_v4, find_related_products_v3
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from .utils import extract_search_filters, find_related_products_v3
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from utils.tag_serializers import TaggitSerializer
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from utils.tag_filters import ProductTagFilter
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@@ -155,9 +155,7 @@ def product_search(request):
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chunks = query_string.split(' ')
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for chunk in chunks:
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product_set = find_related_products_v5(chunk)
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# product_set = find_related_products_v4(chunk)
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# product_set = find_related_products_v3(chunk)
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product_set = find_related_products_v3(chunk)
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# add to result set
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result_set.update(product_set)
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# TODO: add search for entire phrase
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@@ -166,6 +164,7 @@ def product_search(request):
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filters = extract_search_filters(result_set)
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# serialize and respond
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product_serializer = ProductSearchSerializer(result_set, many=True, context={'request': request})
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# TODO: send product data in order by rank value
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return Response(data={"filters": filters, "products": product_serializer.data})
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except Exception as e:
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return Response({"errors": {"details": str(e)}}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
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