用SDK于 Python 的应用程序恢复控制器示例 (Boto3) - AWS SDK代码示例

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用SDK于 Python 的应用程序恢复控制器示例 (Boto3)

以下代码示例向您展示了如何通过 AWS SDK for Python (Boto3) 与应用程序恢复控制器一起使用来执行操作和实现常见场景。

操作是大型程序的代码摘录,必须在上下文中运行。您可以通过操作了解如何调用单个服务函数,还可以通过函数相关场景的上下文查看操作。

每个示例都包含一个指向完整源代码的链接,您可以在其中找到有关如何在上下文中设置和运行代码的说明。

主题

操作

以下代码示例演示如何使用 GetRoutingControlState

SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

import boto3 def create_recovery_client(cluster_endpoint): """ Creates a Boto3 Route 53 Application Recovery Controller client for the specified cluster endpoint URL and AWS Region. :param cluster_endpoint: The cluster endpoint URL and Region. :return: The Boto3 client. """ return boto3.client( "route53-recovery-cluster", endpoint_url=cluster_endpoint["Endpoint"], region_name=cluster_endpoint["Region"], ) def get_routing_control_state(routing_control_arn, cluster_endpoints): """ Gets the state of a routing control. Cluster endpoints are tried in sequence until the first successful response is received. :param routing_control_arn: The ARN of the routing control to look up. :param cluster_endpoints: The list of cluster endpoints to query. :return: The routing control state response. """ # As a best practice, we recommend choosing a random cluster endpoint to get or set routing control states. # For more information, see https://docs.aws.amazon.com/r53recovery/latest/dg/route53-arc-best-practices.html#route53-arc-best-practices.regional random.shuffle(cluster_endpoints) for cluster_endpoint in cluster_endpoints: try: recovery_client = create_recovery_client(cluster_endpoint) response = recovery_client.get_routing_control_state( RoutingControlArn=routing_control_arn ) return response except Exception as error: print(error) raise error

以下代码示例演示如何使用 UpdateRoutingControlState

SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

import boto3 def create_recovery_client(cluster_endpoint): """ Creates a Boto3 Route 53 Application Recovery Controller client for the specified cluster endpoint URL and AWS Region. :param cluster_endpoint: The cluster endpoint URL and Region. :return: The Boto3 client. """ return boto3.client( "route53-recovery-cluster", endpoint_url=cluster_endpoint["Endpoint"], region_name=cluster_endpoint["Region"], ) def update_routing_control_state( routing_control_arn, cluster_endpoints, routing_control_state ): """ Updates the state of a routing control. Cluster endpoints are tried in sequence until the first successful response is received. :param routing_control_arn: The ARN of the routing control to update the state for. :param cluster_endpoints: The list of cluster endpoints to try. :param routing_control_state: The new routing control state. :return: The routing control update response. """ # As a best practice, we recommend choosing a random cluster endpoint to get or set routing control states. # For more information, see https://docs.aws.amazon.com/r53recovery/latest/dg/route53-arc-best-practices.html#route53-arc-best-practices.regional random.shuffle(cluster_endpoints) for cluster_endpoint in cluster_endpoints: try: recovery_client = create_recovery_client(cluster_endpoint) response = recovery_client.update_routing_control_state( RoutingControlArn=routing_control_arn, RoutingControlState=routing_control_state, ) return response except Exception as error: print(error)