Refactor process_row function to streamline row processing and error handling

main.py

@@ -65,6 +65,52 @@ def get_finish_type(row_data):
     
     return None
 
+def process_row(row, mayo, counter):
+    """Processes a single row from the sheet."""
+    if len(row) < 3:
+        return None  # Skip rows with insufficient columns
+
+    link = row[1]
+    nr_zam = row[2]
+
+    if not link:
+        return None
+
+    print(f"\n🔗 Sprawdzam: {link}")
+    try:
+        info = mayo.get_order_info(link)
+        order_number = info["order_number"]
+        model = info["model"]
+
+        print(f"Nr z arkusza: {nr_zam}")
+        print(f"Nr ze strony: {order_number}")
+        print(f"Model: {model}")
+
+        if normalize(order_number) == normalize(nr_zam):
+            print("✅ Numer się zgadza")
+        else:
+            print("⚠️ Numer NIE pasuje!")
+
+        row_data = [
+            counter,
+            link,
+            nr_zam,
+            model,
+            get_finish_type(info),
+            info.get("color_top"),
+            info.get("color_body"),
+            info.get("color_neck"),
+            info.get("color_head"),
+            info.get("finish_kc"),
+            info.get("finish_s"),
+        ]
+        print(f"raw_data: {row_data}")
+        return row_data
+
+    except Exception as e:
+        print(f"❌ Błąd podczas przetwarzania linku {link}: {e}")
+        return None
+
 def main():
     # Inicjalizuj API raz na początku
     gsheet_api = GSheetAPI()
@@ -94,50 +140,11 @@ def main():
     counter = 1
     # Zakładamy: kolumna B = link, kolumna C = nr zam.
     for row in rows[1:]:
-        if len(row) < 3:
-            continue # Pomiń wiersze, które nie mają wystarczającej liczby kolumn
-
-        link = row[1]
-        nr_zam = row[2]
-
-        if not link:
-            continue
-
-        print(f"\n🔗 Sprawdzam: {link}")
-        try:
-            info = mayo.get_order_info(link)
-            order_number = info["order_number"]
-            model = info["model"]
-
-            print(f"Nr z arkusza: {nr_zam}")
-            print(f"Nr ze strony: {order_number}")
-            print(f"Model: {model}")
-
-            if normalize(order_number) == normalize(nr_zam):
-                print("✅ Numer się zgadza")
-            else:
-                print("⚠️ Numer NIE pasuje!")
-
-            row_data = [
-                counter,
-                link,
-                nr_zam,
-                model,
-                get_finish_type(info),
-                info.get("color_top"),
-                info.get("color_body"),
-                info.get("color_neck"),
-                info.get("color_head"),
-                info.get("finish_kc"),
-                info.get("finish_s"),
-            ]
-            print(f"raw_data: {row_data}")
-            rows_to_process.append(row_data)
+        processed_row = process_row(row, mayo, counter)
+        if processed_row:
+            rows_to_process.append(processed_row)
             counter += 1
 
-        except Exception as e:
-            print(f"❌ Błąd podczas przetwarzania linku {link}: {e}")
-
     # Po zakończeniu pętli, dodaj wszystkie zebrane wiersze za jednym razem
     if rows_to_process:
         print(f"\n\n--- Podsumowanie ---")