Refactor process_all_rows function to streamline row processing and improve readability

main.py

@@ -135,6 +135,18 @@ def get_sheet_data(gsheet_api, sheet_name):
         print(f"❌ Błąd podczas pobierania danych z arkusza: {e}")
         return None
 
+def process_all_rows(rows, mayo):
+    """Processes all rows from the sheet."""
+    rows_to_process = []
+    counter = 1
+    # Skip header row by starting from index 1
+    for row in rows[1:]:
+        processed_row = process_row(row, mayo, counter)
+        if processed_row:
+            rows_to_process.append(processed_row)
+            counter += 1
+    return rows_to_process
+
 def main():
     # Inicjalizuj API raz na początku
     gsheet_api = GSheetAPI()
@@ -150,20 +162,13 @@ def main():
     mayo = MayoSession(MAYO_URL, LOGIN, PASSWORD)
     mayo.login()
 
-    rows_to_process = []
+    processed_rows = process_all_rows(rows, mayo)
-    counter = 1
-    # Zakładamy: kolumna B = link, kolumna C = nr zam.
-    for row in rows[1:]:
-        processed_row = process_row(row, mayo, counter)
-        if processed_row:
-            rows_to_process.append(processed_row)
-            counter += 1
 
     # Po zakończeniu pętli, dodaj wszystkie zebrane wiersze za jednym razem
-    if rows_to_process:
+    if processed_rows:
         print(f"\n\n--- Podsumowanie ---")
-        print(f"Zebrano {len(rows_to_process)} wierszy do przetworzenia.")
+        print(f"Zebrano {len(processed_rows)} wierszy do przetworzenia.")
-        gsheet_api.batch_append_unique_rows(RESULT_DOC, sheet_name, rows_to_process)
+        gsheet_api.batch_append_unique_rows(RESULT_DOC, sheet_name, processed_rows)
     else:
         print("\nNie zebrano żadnych danych do przetworzenia.")