airflow kubernetes_helper_functions 源码
airflow kubernetes_helper_functions 代码
文件路径:/airflow/kubernetes/kubernetes_helper_functions.py
# Licensed to the Apache Software Foundation (ASF) under one
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# 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 __future__ import annotations
import logging
import pendulum
from slugify import slugify
from airflow.models.taskinstance import TaskInstanceKey
log = logging.getLogger(__name__)
def _strip_unsafe_kubernetes_special_chars(string: str) -> str:
"""
Kubernetes only supports lowercase alphanumeric characters, "-" and "." in
the pod name.
However, there are special rules about how "-" and "." can be used so let's
only keep
alphanumeric chars see here for detail:
https://kubernetes.io/docs/concepts/overview/working-with-objects/names/
:param string: The requested Pod name
:return: Pod name stripped of any unsafe characters
"""
return slugify(string, separator='', lowercase=True)
def create_pod_id(dag_id: str, task_id: str) -> str:
"""
Generates the kubernetes safe pod_id. Note that this is
NOT the full ID that will be launched to k8s. We will add a uuid
to ensure uniqueness.
:param dag_id: DAG ID
:param task_id: Task ID
:return: The non-unique pod_id for this task/DAG pairing
"""
safe_dag_id = _strip_unsafe_kubernetes_special_chars(dag_id)
safe_task_id = _strip_unsafe_kubernetes_special_chars(task_id)
return safe_dag_id + safe_task_id
def annotations_to_key(annotations: dict[str, str]) -> TaskInstanceKey | None:
"""Build a TaskInstanceKey based on pod annotations"""
log.debug("Creating task key for annotations %s", annotations)
dag_id = annotations['dag_id']
task_id = annotations['task_id']
try_number = int(annotations['try_number'])
annotation_run_id = annotations.get('run_id')
map_index = int(annotations.get('map_index', -1))
if not annotation_run_id and 'execution_date' in annotations:
# Compat: Look up the run_id from the TI table!
from airflow.models.dagrun import DagRun
from airflow.models.taskinstance import TaskInstance
from airflow.settings import Session
execution_date = pendulum.parse(annotations['execution_date'])
# Do _not_ use create-session, we don't want to expunge
session = Session()
task_instance_run_id = (
session.query(TaskInstance.run_id)
.join(TaskInstance.dag_run)
.filter(
TaskInstance.dag_id == dag_id,
TaskInstance.task_id == task_id,
DagRun.execution_date == execution_date,
)
.scalar()
)
else:
task_instance_run_id = annotation_run_id
return TaskInstanceKey(
dag_id=dag_id,
task_id=task_id,
run_id=task_instance_run_id,
try_number=try_number,
map_index=map_index,
)
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