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job.py
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job.py
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# 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.
import datetime
from functools import cached_property
from typing import TYPE_CHECKING, Optional
from airflow.executors.executor_loader import ExecutorLoader
from airflow.jobs.base_job_runner import BaseJobRunner
from airflow.utils.pydantic import BaseModel as BaseModelPydantic, ConfigDict
def check_runner_initialized(job_runner: Optional[BaseJobRunner], job_type: str) -> BaseJobRunner:
if job_runner is None:
raise ValueError(f"In order to run {job_type} you need to initialize the {job_type}Runner first.")
return job_runner
class JobPydantic(BaseModelPydantic):
"""Serializable representation of the Job ORM SqlAlchemyModel used by internal API."""
id: Optional[int]
dag_id: Optional[str]
state: Optional[str]
job_type: Optional[str]
start_date: Optional[datetime.datetime]
end_date: Optional[datetime.datetime]
latest_heartbeat: datetime.datetime
executor_class: Optional[str]
hostname: Optional[str]
unixname: Optional[str]
model_config = ConfigDict(from_attributes=True)
@cached_property
def executor(self):
return ExecutorLoader.get_default_executor()
@cached_property
def heartrate(self) -> float:
from airflow.jobs.job import Job
if TYPE_CHECKING:
assert self.job_type is not None
return Job._heartrate(self.job_type)
def is_alive(self, grace_multiplier=2.1) -> bool:
"""Is this job currently alive."""
from airflow.jobs.job import Job
return Job._is_alive(
job_type=self.job_type,
heartrate=self.heartrate,
state=self.state,
latest_heartbeat=self.latest_heartbeat,
grace_multiplier=grace_multiplier,
)