### Body

Currently `start_date` is mandatory parameter.
For DAGs with `schedule=None` we can relax this requirement as no scheduling calculation needed so the `start_date` parameter isn't used.

### Committer

- [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project.
"""Exposes a CLI specific to this DAG."""
        check_cycle(self)
        from airflow.cli import cli_parser
        parser = cli_parser.get_parser(dag_parser=True)
        args = parser.parse_args()
        args.func(args, self)
    @provide_session
    def test(
        self,
        execution_date: datetime | None = None,
        run_conf: dict[str, Any] | None = None,
        conn_file_path: str | None = None,
        variable_file_path: str | None = None,
        session: Session = NEW_SESSION,
    ) -> DagRun:
        """
        Execute one single DagRun for a given DAG and execution date.
        :param execution_date: execution date for the DAG run
        :param run_conf: configuration to pass to newly created dagrun
        :param conn_file_path: file path to a connection file in either yaml or json
        :param variable_file_path: file path to a variable file in either yaml or json
        :param session: database connection (optional)
        """
        def add_logger_if_needed(ti: TaskInstance):