backend changes on test files of catalog

data/seed_catalogs/brand_catalog_bikaji.json

@@ -0,0 +1,47 @@
+{
+  "brand": "bikaji",
+  "search_query": "Bikaji products catalog",
+  "generation_timestamp": "C:\\Brand_Catalog_LLM\\RAG_Model_Nutrition_Intelligence\\RAG_Model_Full_Implement\\backend\\app\\services\\brand_sync.py",
+  "total_products": 1,
+  "total_images": 10,
+  "products": [
+    {
+      "brand": "Bikaji",
+      "brand_name": "Bikaji",
+      "product_name": "Bikaji Aloo Bhujia 200g",
+      "title": "Bikaji Aloo",
+      "description": "Spiced potato snack",
+      "category": "Namkeen",
+      "image_id": "bikaji_bikaji_aloo_bhujia_200g",
+      "image_url": "https://m.media-amazon.com/images/I/81XXOOc0nlL._SL1500_.jpg",
+      "image_urls": [
+        "https://m.media-amazon.com/images/I/81XXOOc0nlL._SL1500_.jpg",
+        "https://images.openfoodfacts.org/images/products/890/400/440/0731/front_en.4.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/400/440/0779/front_fr.9.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/400/440/0694/front_en.4.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/400/440/0687/front_en.5.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/400/440/0755/front_fr.3.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/406/324/0187/front_en.12.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/406/324/0057/front_en.16.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/406/320/0013/front_en.35.400.jpg",
+        "https://images.openfoodfacts.org/images/products/890/406/323/1574/front_en.3.400.jpg"
+      ],
+      "price_range": "₹27-33",
+      "size_variants": [
+        "200g"
+      ],
+      "providers": [],
+      "fssai_license": "",
+      "product_sku": "BIKAJI-ALO-200-001",
+      "sku_source": "Internal",
+      "hsn_code": "1905",
+      "final_selling_price": 38.94,
+      "selling_price": 33.0,
+      "barcode": null,
+      "barcode_type": null,
+      "highlights": [],
+      "nutrients": [],
+      "search_query": "Bikaji Bikaji Aloo Bhujia 200g Namkeen Spiced potato snack"
+    }
+  ]
+}

data/sku_sequences/Aachi.json

@@ -1,5 +1,6 @@
 {
   "_sku_sequences": {
-    "AACHI-SAM-100": 1
+    "AACHI-SAM-100": 1,
+    "AACHI-SAM-200": 1
   }
 }

data/sku_sequences/Bikaji.json

@@ -0,0 +1,5 @@
+{
+  "_sku_sequences": {
+    "BIKAJI-ALO-200": 1
+  }
+}

data/sku_sequences/Idhayam.json

@@ -0,0 +1,5 @@
+{
+  "_sku_sequences": {
+    "IDHAYA-SES-500": 1
+  }
+}

data/sku_sequences/amul.json

@@ -0,0 +1,5 @@
+{
+  "_sku_sequences": {
+    "AMUL-BUT-500": 1
+  }
+}

data/sku_sequences/britannia.json

@@ -1,9 +1,7 @@
 {
   "_sku_sequences": {
-    "BRITAN-50-200": 11,
-    "BRITAN-50-100": 4,
-    "BRITAN-50-250": 2,
-    "BRITAN-50-500": 3,
-    "BRITAN-GOO-200": 3
+    "BRITAN-GOO-100": 1,
+    "BRITAN-GOO-200": 1,
+    "BRITAN-GOO-500": 1
   }
 }

data/sku_sequences/cadbury.json

@@ -1,5 +1,5 @@
 {
   "_sku_sequences": {
-    "CADBUR-DAI-100": 1
+    "CADBUR-DAI-150": 1
   }
 }

data/sku_sequences/itc.json

@@ -0,0 +1,5 @@
+{
+  "_sku_sequences": {
+    "ITC-AAS-1": 1
+  }
+}

data/sku_sequences/nestle.json

@@ -0,0 +1,7 @@
+{
+  "_sku_sequences": {
+    "NESTLE-MUN-20": 1,
+    "NESTLE-MUN-55": 1,
+    "NESTLE-MUN-150": 1
+  }
+}

data/sku_sequences/parle.json

@@ -0,0 +1,5 @@
+{
+  "_sku_sequences": {
+    "PARLE-G-250": 1
+  }
+}

tests/test_store_catalog_pipeline.py

@@ -30,6 +30,19 @@ def _sheet(headers, rows) -> bytes:
     return buf.getvalue()
 
 
+@pytest.fixture(autouse=True)
+def _isolate_sku_counter(tmp_path, monkeypatch):
+    """Keep the SKU sequence counter out of the repo.
+
+    `sku_service` persists its per-brand counter to DATA_DIR/sku_sequences so
+    reruns keep issuing fresh numbers. Left alone, running the suite mutates a
+    real directory in the working tree; pointing it at tmp_path keeps each test
+    session self-contained and makes SKU numbering deterministic per test.
+    """
+    from app.services import sku_service
+    monkeypatch.setattr(sku_service, "_data_dir", tmp_path / "sku_sequences")
+
+
 @pytest.fixture
 def store(monkeypatch):
     """A fake brand table. Returns the dict of image_id -> stored row."""