Error in Automated ML for Time Series forecasting

Question

I am experiencing an issue with the Automated ML for time series forecasting. I can manually trigger the job and it trains the model successfully:

The data that I am using consists of 2 columns Invoice-date and total. I am using the first one as a date variable and the second as a target variable:

The issue that I have is that I cannot retrain the same model from the generated code which I am downloading straight from Azure:

This approach of recreating the model from generated code worked for me when I was training the Classification models some time ago, so I believe that it should work in a similar way as well.

The error that I am getting after running the script_run_notebook.ipynb is the following:

This makes sense because in the script.py file the auto variable is not defined which is reported by VS Code:

Is there anything that I am missing, or currently it is not possible to recreate the model from Automated ML in Azure by using generated code?