fixed vector search not finding nested tags

products/utils.py

@@ -57,7 +57,7 @@ def extract_search_filters(result_set):
     return filter_dict
 
 
-def find_related_products(keyword):
+def find_related_products_v1(keyword):
     # search in tags
     tags = Product.tags.tag_model.objects.filter(name__icontains=keyword)
     # search in category
@@ -75,23 +75,22 @@ def find_related_products(keyword):
     return products_qs
 
 
-def alt_rank_find_related_products(keyword):
-    # TODO: figure out why it includes unrelated instances
-    fields=('name', 'description', 'tags__name', 'attributes__name', 'category__name')
-    vector = SearchVector(*fields)
-    query = SearchQuery(keyword)
-    products_qs = Product.objects.annotate(
-        rank=SearchRank(vector, query)
-    ).order_by('-rank')
-    import ipdb; ipdb.set_trace()
-    return products_qs
-
-
-def alt_find_related_products(keyword):
-    fields=('name', 'description', 'tags__name', 'attributes__name', 'category__name')
+def find_related_products_v2(keyword):
+    fields=('name', 'description', 'tags__label', 'attributes__label', 'category__name')
     vector = SearchVector(*fields)
     products_qs = Product.objects.annotate(
         search=vector
     ).filter(search=keyword)
     return products_qs
 
+
+def alt_rank_find_related_products(keyword):
+    # TODO: figure out why it includes unrelated instances
+    fields=('name', 'description', 'tags__label', 'attributes__label', 'category__name')
+    vector = SearchVector(*fields)
+    query = SearchQuery(keyword)
+    products_qs = Product.objects.annotate(
+        rank=SearchRank(vector, query)
+    ).order_by('-rank')
+    return products_qs
+