Features: 1) Add support for fine-tuned boosts in Elasticsearch scoring for title and related fields; 2) Adjust product, brand, and category scoring multipliers to improve search ranking flexibility.

Fixes: 1) Correct `total_orders` calculation in `Product` model to count only relevant statuses.

Extra: 1) Refactor comments for clarity in Elasticsearch configuration; 2) Minor formatting adjustments.

core/elasticsearch/__init__.py

@@ -12,34 +12,35 @@ from rest_framework.request import Request
 from core.models import Brand, Category, Product
 
 SMART_FIELDS = [
-    "name^4",
+    "name^5",
-    "name.ngram^3",
+    "name.ngram^4",
     "name.phonetic",
-    "description^2",
+
-    "description.ngram",
-    "description.phonetic",
-    "name.auto^4",
-    "description.auto^2",
-    "brand__name^2",
-    "brand__name.ngram",
-    "brand__name.auto",
-    "category__name^2",
-    "category__name.ngram",
-    "category__name.auto",
     "title^4",
     "title.ngram^3",
     "title.phonetic",
-    "title.auto^4",
+
+    "description^2",
+    "description.ngram",
+    "description.phonetic",
+
+    "brand__name^3",
+    "brand__name.ngram",
+    "brand__name.auto",
+
+    "category__name^2",
+    "category__name.ngram",
+    "category__name.auto",
 ]
 
 functions = [
-    # — product boost whenever hitting the products` index —
+    # product-level boosts when searching for products
     {
         "filter": Q("term", **{"_index": "products"}),
         "field_value_factor": {
             "field": "brand_priority",
             "modifier": "log1p",
-            "factor": 1,
+            "factor": 1.5,
             "missing": 0,
         },
     },
@@ -48,7 +49,7 @@ functions = [
         "field_value_factor": {
             "field": "rating",
             "modifier": "log1p",
-            "factor": 1,
+            "factor": 2.0,
             "missing": 0,
         },
     },
@@ -57,7 +58,7 @@ functions = [
         "field_value_factor": {
             "field": "total_orders",
             "modifier": "log1p",
-            "factor": 1,
+            "factor": 3.0,
             "missing": 0,
         },
     },
@@ -66,29 +67,29 @@ functions = [
         "field_value_factor": {
             "field": "category_priority",
             "modifier": "log1p",
-            "factor": 1,
+            "factor": 1.2,
             "missing": 0,
         },
     },
 
-    # — category boost whenever hitting the categories` index —
+    # category-level boost when searching for categories
     {
         "filter": Q("term", **{"_index": "categories"}),
         "field_value_factor": {
             "field": "priority",
             "modifier": "log1p",
-            "factor": 2,        # you can tweak
+            "factor": 2.0,
             "missing": 0,
         },
     },
 
-    # — brand boost whenever hitting the brands` index —
+    # brand-level boost when searching for brands
     {
         "filter": Q("term", **{"_index": "brands"}),
         "field_value_factor": {
             "field": "priority",
             "modifier": "log1p",
-            "factor": 2,
+            "factor": 2.0,
             "missing": 0,
         },
     },

core/models.py

@@ -439,7 +439,10 @@ class Product(ExportModelOperationsMixin("product"), NiceModel):
 
     @property
     def total_orders(self):
-        return OrderProduct.objects.filter(product__uuid=self.uuid).count()
+        return OrderProduct.objects.filter(
+            product__uuid=self.uuid,
+            status__in=["FINISHED", "DELIVERING", "CREATED", "PAYMENT"],
+        ).count()
 
 
 class Attribute(ExportModelOperationsMixin("attribute"), NiceModel):