airflow ec2 源码
airflow ec2 代码
文件路径:/airflow/providers/amazon/aws/hooks/ec2.py
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# 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
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# software distributed under the License is distributed on an
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from __future__ import annotations
import functools
import time
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
def only_client_type(func):
@functools.wraps(func)
def checker(self, *args, **kwargs):
if self._api_type == "client_type":
return func(self, *args, **kwargs)
ec2_doc_link = "https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/ec2.html"
raise AirflowException(
f"""
This method is only callable when using client_type API for interacting with EC2.
Create the EC2Hook object as follows to use this method
ec2 = EC2Hook(api_type="client_type")
Read following for details on client_type and resource_type APIs:
1. {ec2_doc_link}#client
2. {ec2_doc_link}#service-resource
"""
)
return checker
class EC2Hook(AwsBaseHook):
"""
Interact with AWS EC2 Service.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
:class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
"""
API_TYPES = frozenset({"resource_type", "client_type"})
def __init__(self, api_type="resource_type", *args, **kwargs) -> None:
if api_type not in self.API_TYPES:
raise AirflowException("api_type can only be one of %s", self.API_TYPES)
kwargs[api_type] = "ec2"
self._api_type = api_type
super().__init__(*args, **kwargs)
def get_instance(self, instance_id: str, filters: list | None = None):
"""
Get EC2 instance by id and return it.
:param instance_id: id of the AWS EC2 instance
:param filters: List of filters to specify instances to get
:return: Instance object
:rtype: ec2.Instance
"""
if self._api_type == "client_type":
return self.get_instances(filters=filters, instance_ids=[instance_id])
return self.conn.Instance(id=instance_id)
@only_client_type
def stop_instances(self, instance_ids: list) -> dict:
"""
Stop instances with given ids
:param instance_ids: List of instance ids to stop
:return: Dict with key `StoppingInstances` and value as list of instances being stopped
"""
self.log.info("Stopping instances: %s", instance_ids)
return self.conn.stop_instances(InstanceIds=instance_ids)
@only_client_type
def start_instances(self, instance_ids: list) -> dict:
"""
Start instances with given ids
:param instance_ids: List of instance ids to start
:return: Dict with key `StartingInstances` and value as list of instances being started
"""
self.log.info("Starting instances: %s", instance_ids)
return self.conn.start_instances(InstanceIds=instance_ids)
@only_client_type
def terminate_instances(self, instance_ids: list) -> dict:
"""
Terminate instances with given ids
:param instance_ids: List of instance ids to terminate
:return: Dict with key `TerminatingInstances` and value as list of instances being terminated
"""
self.log.info("Terminating instances: %s", instance_ids)
return self.conn.terminate_instances(InstanceIds=instance_ids)
@only_client_type
def describe_instances(self, filters: list | None = None, instance_ids: list | None = None):
"""
Describe EC2 instances, optionally applying filters and selective instance ids
:param filters: List of filters to specify instances to describe
:param instance_ids: List of instance IDs to describe
:return: Response from EC2 describe_instances API
"""
filters = filters or []
instance_ids = instance_ids or []
self.log.info("Filters provided: %s", filters)
self.log.info("Instance ids provided: %s", instance_ids)
return self.conn.describe_instances(Filters=filters, InstanceIds=instance_ids)
@only_client_type
def get_instances(self, filters: list | None = None, instance_ids: list | None = None) -> list:
"""
Get list of instance details, optionally applying filters and selective instance ids
:param instance_ids: List of ids to get instances for
:param filters: List of filters to specify instances to get
:return: List of instances
"""
description = self.describe_instances(filters=filters, instance_ids=instance_ids)
return [
instance for reservation in description["Reservations"] for instance in reservation["Instances"]
]
@only_client_type
def get_instance_ids(self, filters: list | None = None) -> list:
"""
Get list of instance ids, optionally applying filters to fetch selective instances
:param filters: List of filters to specify instances to get
:return: List of instance ids
"""
return [instance["InstanceId"] for instance in self.get_instances(filters=filters)]
def get_instance_state(self, instance_id: str) -> str:
"""
Get EC2 instance state by id and return it.
:param instance_id: id of the AWS EC2 instance
:return: current state of the instance
:rtype: str
"""
if self._api_type == "client_type":
return self.get_instances(instance_ids=[instance_id])[0]["State"]["Name"]
return self.get_instance(instance_id=instance_id).state["Name"]
def wait_for_state(self, instance_id: str, target_state: str, check_interval: float) -> None:
"""
Wait EC2 instance until its state is equal to the target_state.
:param instance_id: id of the AWS EC2 instance
:param target_state: target state of instance
:param check_interval: time in seconds that the job should wait in
between each instance state checks until operation is completed
:return: None
:rtype: None
"""
instance_state = self.get_instance_state(instance_id=instance_id)
while instance_state != target_state:
time.sleep(check_interval)
instance_state = self.get_instance_state(instance_id=instance_id)
self.log.info(
"instance state: %s. Same as target: %s", instance_state, instance_state == target_state
)
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