airflow ec2 源码
airflow ec2 代码
文件路径:/airflow/providers/amazon/aws/operators/ec2.py
#
# 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 typing import TYPE_CHECKING, Sequence
from airflow.models import BaseOperator
from airflow.providers.amazon.aws.hooks.ec2 import EC2Hook
if TYPE_CHECKING:
from airflow.utils.context import Context
class EC2StartInstanceOperator(BaseOperator):
"""
Start AWS EC2 instance using boto3.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:EC2StartInstanceOperator`
:param instance_id: id of the AWS EC2 instance
:param aws_conn_id: aws connection to use
:param region_name: (optional) aws region name associated with the client
:param check_interval: time in seconds that the job should wait in
between each instance state checks until operation is completed
"""
template_fields: Sequence[str] = ("instance_id", "region_name")
ui_color = "#eeaa11"
ui_fgcolor = "#ffffff"
def __init__(
self,
*,
instance_id: str,
aws_conn_id: str = "aws_default",
region_name: str | None = None,
check_interval: float = 15,
**kwargs,
):
super().__init__(**kwargs)
self.instance_id = instance_id
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.check_interval = check_interval
def execute(self, context: Context):
ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
self.log.info("Starting EC2 instance %s", self.instance_id)
instance = ec2_hook.get_instance(instance_id=self.instance_id)
instance.start()
ec2_hook.wait_for_state(
instance_id=self.instance_id,
target_state="running",
check_interval=self.check_interval,
)
class EC2StopInstanceOperator(BaseOperator):
"""
Stop AWS EC2 instance using boto3.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:EC2StopInstanceOperator`
:param instance_id: id of the AWS EC2 instance
:param aws_conn_id: aws connection to use
:param region_name: (optional) aws region name associated with the client
:param check_interval: time in seconds that the job should wait in
between each instance state checks until operation is completed
"""
template_fields: Sequence[str] = ("instance_id", "region_name")
ui_color = "#eeaa11"
ui_fgcolor = "#ffffff"
def __init__(
self,
*,
instance_id: str,
aws_conn_id: str = "aws_default",
region_name: str | None = None,
check_interval: float = 15,
**kwargs,
):
super().__init__(**kwargs)
self.instance_id = instance_id
self.aws_conn_id = aws_conn_id
self.region_name = region_name
self.check_interval = check_interval
def execute(self, context: Context):
ec2_hook = EC2Hook(aws_conn_id=self.aws_conn_id, region_name=self.region_name)
self.log.info("Stopping EC2 instance %s", self.instance_id)
instance = ec2_hook.get_instance(instance_id=self.instance_id)
instance.stop()
ec2_hook.wait_for_state(
instance_id=self.instance_id,
target_state="stopped",
check_interval=self.check_interval,
)
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