incubator-airflow/airflow/models/slamiss.py

48 строки
1.7 KiB
Python

#
# 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
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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()))