typo database

utilities_database/user_database_utils.py

@@ -246,17 +246,17 @@ def load_user_tasks_data(user_task_database, save_type, creator_name=None, test_
         user_data = user_task_database.select('*').eq('creator_name', creator_name).eq('save_type', save_type).execute().data
         names = [item['save_name'] for item in user_data]
         cefr_level = [item['cefr_level'] for item in user_data]
-        created_ats = [item['created_at'] for item in user_data]
-        return_data = pd.DataFrame([names, cefr_level, created_ats]).transpose()
+        created_at = [item['created_at'] for item in user_data]
+        return_data = pd.DataFrame([names, cefr_level, created_at]).transpose()
         return_data.columns = ['Название', 'Уровень', 'Время создания']
     else:
         user_data = user_task_database.select('*').eq('test_taker_name', test_taker_name).eq('save_type', save_type).execute().data
         names = [item['save_name'] for item in user_data]
         cefr_level = [item['cefr_level'] for item in user_data]
-        created_ats = [item['created_at'] for item in user_data]
+        created_at = [item['created_at'] for item in user_data]
         creator_name = [item['creator_name'] for item in user_data]
         test_taker_result = [item['test_taker_result'] for item in user_data]
-        return_data = pd.DataFrame([names, cefr_level, test_taker_result, created_ats, creator_name]).transpose()
+        return_data = pd.DataFrame([names, cefr_level, test_taker_result, created_at, creator_name]).transpose()
         return_data.columns = ['Название', 'Уровень', 'Оценка', 'Дата прохождения', 'Автор заданий']
     return return_data