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
fileloc = Column(String(2000))
    
    owners = Column(String(2000))
    
    description = Column(Text)
    
    default_view = Column(String(25))
    
    schedule_interval = Column(Interval)
    
    tags = relationship('DagTag', cascade='all,delete-orphan', backref=backref('dag'))
    max_active_tasks = Column(Integer, nullable=False)
    max_active_runs = Column(Integer, nullable=True)
    has_task_concurrency_limits = Column(Boolean, nullable=False)
    
    next_dagrun = Column(UtcDateTime)
    
    next_dagrun_data_interval_start = Column(UtcDateTime)
    next_dagrun_data_interval_end = Column(UtcDateTime)
    
    next_dagrun_create_after = Column(UtcDateTime)
    __table_args__ = (
        Index('idx_root_dag_id', root_dag_id, unique=False),
        Index('idx_next_dagrun_create_after', next_dagrun_create_after, unique=False),
    )
    parent_dag = relationship(
        "DagModel", remote_side=[dag_id], primaryjoin=root_dag_id == dag_id, foreign_keys=[root_dag_id]
    )
    NUM_DAGS_PER_DAGRUN_QUERY = conf.getint('scheduler', 'max_dagruns_to_create_per_loop', fallback=10)
    def __init__(self, concurrency=None, **kwargs):