new and improved Q-based search implementation

products/utils.py

@@ -81,11 +81,23 @@ def find_related_products_v1(keyword):
     return products_qs
 
 
+def find_related_products_v5(keyword):
+    """
+    Single query solution, using Q objects
+    """
+    products_qs = Product.objects.filter(
+        Q(name__icontains=keyword)|
+        Q(description__icontains=keyword)|
+        Q(tags__label__icontains=keyword)|
+        Q(category__name__icontains=keyword)|
+        Q(attributes__label__icontains=keyword)
+    )
+    return products_qs
+
+
 def find_related_products_v2(keyword):
     """
-    More advanced search
-
-    Using search vectors
+    More advanced: using search vectors
     """
     fields=('name', 'description', 'tags__label', 'attributes__label', 'category__name')
     vector = SearchVector(*fields)