I couldn't find any official documentation specifying what each parameter to a `sla_miss_callback` callable are. This would be a great addition to know how to properly format the messages sent.
airflow/models/dag.py
)
            data_interval = self.infer_automated_data_interval(
                timezone.coerce_datetime(last_automated_dagrun)
            )
        else:
            data_interval = last_automated_dagrun
        if restricted:
            restriction = self._time_restriction
        else:
            restriction = TimeRestriction(earliest=None, latest=None, catchup=True)
        return self.timetable.next_dagrun_info(
            last_automated_data_interval=data_interval,
            restriction=restriction,
        )
    def next_dagrun_after_date(self, date_last_automated_dagrun: Optional[pendulum.DateTime]):
        warnings.warn(
            "`DAG.next_dagrun_after_date()` is deprecated. Please use `DAG.next_dagrun_info()` instead.",
            category=DeprecationWarning,
            stacklevel=2,
        )
        if date_last_automated_dagrun is None:
            data_interval = None
        else:
            data_interval = self.infer_automated_data_interval(date_last_automated_dagrun)
        info = self.next_dagrun_info(data_interval)
        if info is None:
            return None
        return info.run_after
    @cached_property
    def _time_restriction(self) -> TimeRestriction: