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.timetable.infer_manual_data_interval(run_after=logical_date)
            else:
                data_interval = self.infer_automated_data_interval(logical_date)
        
        copied_params = copy.deepcopy(self.params)
        copied_params.update(conf or {})
        copied_params.validate()
        run = DagRun(
            dag_id=self.dag_id,
            run_id=run_id,
            execution_date=logical_date,
            start_date=start_date,
            external_trigger=external_trigger,
            conf=conf,
            state=state,
            run_type=run_type,
            dag_hash=dag_hash,
            creating_job_id=creating_job_id,
            data_interval=data_interval,
        )
        session.add(run)
        session.flush()
        run.dag = self
        
        
        run.verify_integrity(session=session)
        return run
    @classmethod
    @provide_session
    def bulk_sync_to_db(cls, dags: Collection["DAG"], session=None):