Source code for airflow.models.slamiss
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from __future__ import annotations
from sqlalchemy import Boolean, Column, Index, String, Text
from airflow.models.base import COLLATION_ARGS, ID_LEN, Base
from airflow.utils.sqlalchemy import UtcDateTime
Model that stores a history of the SLA that have been missed.
It is used to keep track of SLA failures over time and to avoid double
triggering alert emails.
[docs] __tablename__ = "sla_miss"
[docs] task_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True)
[docs] dag_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True)
[docs] execution_date = Column(UtcDateTime, primary_key=True)
[docs] email_sent = Column(Boolean, default=False)
[docs] timestamp = Column(UtcDateTime)
[docs] description = Column(Text)
[docs] notification_sent = Column(Boolean, default=False)
[docs] __table_args__ = (Index("sm_dag", dag_id, unique=False),)
[docs] def __repr__(self):
return str((self.dag_id, self.task_id, self.execution_date.isoformat()))