# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. 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 class SlaMiss(Base): """ 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. """ __tablename__ = "sla_miss" task_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True) dag_id = Column(String(ID_LEN, **COLLATION_ARGS), primary_key=True) execution_date = Column(UtcDateTime, primary_key=True) email_sent = Column(Boolean, default=False) timestamp = Column(UtcDateTime) description = Column(Text) notification_sent = Column(Boolean, default=False) __table_args__ = (Index("sm_dag", dag_id, unique=False),) def __repr__(self): return str((self.dag_id, self.task_id, self.execution_date.isoformat()))