LogTemplate table not seeded in custom schema causes TypeError when triggering DAG

### Apache Airflow version Other Airflow 2 version (please specify below) ### If "Other Airflow 2 version" selected, which one? 2.10.4 ### What happened? What happened: When using a custom schema for the Airflow metadata database, the log_template table is not automatically seeded with default data. As a result, when triggering a DAG, Airflow attempts to set the log_template_id using the following code: run.log_template_id = int(session.scalar(select(func.max(LogTemplate.__table__.c.id)))) Because the custom schema’s log_template table is empty, the query returns None, and attempting to convert None to an integer raises a TypeError: TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType' In contrast, when using the default public schema, the table is seeded with default data, and this error does not occur. ### What you think should happen instead? The log_template table should be seeded with default data even when using a custom schema—just as it is for the public schema. Alternatively, the code should handle an empty log_template table gracefully (for example, by defaulting to 0 when no rows exist). ### How to reproduce Create a custom schema in your Airflow metadata database (e.g., my_custom_schema). Update the Airflow configuration (in airflow.cfg or via the environment variable **sql_alchemy_schema = ${SQL_ALCHEMY_SCHEMA}** to use your custom schema. - Start Airflow. - Run db migrate ( this will add permisssions and tables inside the schema) - Trigger a DAG via the UI or API. - Observe that the DAG trigger fails with the following error: - TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType' because the log_template table in the custom schema is empty.  <img width="748" alt="Image" src="https://github.com/user-attachments/assets/599875fb-3a12-49a5-91a3-915e13983788" /> ### Operating System…