shop product refactoring

app/utils/csv_processor.py

@@ -187,15 +187,15 @@ class CSVProcessor:
         return processed_data
 
     async def process_marketplace_csv_from_url(
-        self, url: str, marketplace: str, shop_name: str, batch_size: int, db: Session
+        self, url: str, marketplace: str, vendor_name: str, batch_size: int, db: Session
     ) -> Dict[str, Any]:
         """
-        Process CSV from URL with marketplace and shop information.
+        Process CSV from URL with marketplace and vendor information.
 
         Args:
             url: URL to the CSV file
             marketplace: Name of the marketplace (e.g., 'Letzshop', 'Amazon')
-            shop_name: Name of the shop
+            vendor_name: Name of the vendor 
             batch_size: Number of rows to process in each batch
             db: Database session
 
@@ -203,7 +203,7 @@ class CSVProcessor:
             Dictionary with processing results
         """
         logger.info(
-            f"Starting marketplace CSV import from {url} for {marketplace} -> {shop_name}"
+            f"Starting marketplace CSV import from {url} for {marketplace} -> {vendor_name}"
         )
         # Download and parse CSV
         csv_content = self.download_csv(url)
@@ -220,7 +220,7 @@ class CSVProcessor:
         for i in range(0, len(df), batch_size):
             batch_df = df.iloc[i : i + batch_size]
             batch_result = await self._process_marketplace_batch(
-                batch_df, marketplace, shop_name, db, i // batch_size + 1
+                batch_df, marketplace, vendor_name, db, i // batch_size + 1
             )
 
             imported += batch_result["imported"]
@@ -235,14 +235,14 @@ class CSVProcessor:
             "updated": updated,
             "errors": errors,
             "marketplace": marketplace,
-            "shop_name": shop_name,
+            "vendor_name": vendor_name,
         }
 
     async def _process_marketplace_batch(
         self,
         batch_df: pd.DataFrame,
         marketplace: str,
-        shop_name: str,
+        vendor_name: str,
         db: Session,
         batch_num: int,
     ) -> Dict[str, int]:
@@ -253,7 +253,7 @@ class CSVProcessor:
 
         logger.info(
             f"Processing batch {batch_num} with {len(batch_df)} rows for "
-            f"{marketplace} -> {shop_name}"
+            f"{marketplace} -> {vendor_name}"
         )
 
         for index, row in batch_df.iterrows():
@@ -261,9 +261,9 @@ class CSVProcessor:
                 # Convert row to dictionary and clean up
                 product_data = self._clean_row_data(row.to_dict())
 
-                # Add marketplace and shop information
+                # Add marketplace and vendor information
                 product_data["marketplace"] = marketplace
-                product_data["shop_name"] = shop_name
+                product_data["vendor_name"] = vendor_name
 
                 # Validate required fields
                 if not product_data.get("marketplace_product_id"):
@@ -294,7 +294,7 @@ class CSVProcessor:
                     updated += 1
                     logger.debug(
                         f"Updated product {product_data['marketplace_product_id']} for "
-                        f"{marketplace} and shop {shop_name}"
+                        f"{marketplace} and vendor {vendor_name}"
                     )
                 else:
                     # Create new product
@@ -309,7 +309,7 @@ class CSVProcessor:
                     imported += 1
                     logger.debug(
                         f"Imported new product {product_data['marketplace_product_id']} "
-                        f"for {marketplace} and shop {shop_name}"
+                        f"for {marketplace} and vendor {vendor_name}"
                     )
 
             except Exception as e: