Is there now a way to get "AWS region names" in boto3?

Question

现在是否boto3可以将AWS区域代码转换为AWS区域名称，例如转换('us-west-1', 'us-east-1', 'us-west-2')为('N. California', 'N. Virginia', 'Oregon')？

我可以使用以下代码段获取AWS区域代码列表：

 from boto3.session import Session
 s = Session()
 regions = s.get_available_regions('rds')
 print("regions:", regions)

$ python3 regions.py
regions: ['ap-northeast-1', 'ap-northeast-2', 'ap-south-1', 'ap-southeast-1', 'ap-southeast-2', 'ca-central-1', 'eu-central-1', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'sa-east-1', 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2']

是否有等效的代码段可以给我AWS区域名称？

Answer 1

AWS刚刚发布了一项功能，该功能允许使用AWS Systems Manager参数存储查询AWS区域，端点等。

使用和功能boto3，您可以执行以下操作：

import boto3

client = boto3.client('ssm')

response = client.get_parameter(
    Name='/aws/service/global-infrastructure/regions/us-west-1/longName'
)

region_name = response['Parameter']['Value'] # US West (N. California)

要获取所有可用区域，您可以首先使用get_parameters_by_path()以下路径使用/aws/service/global-infrastructure/regions。

注意：即使这是公共数据，也需要适当的IAM权限。

Answer 2

编辑：正如 @jogold 所提到的，随着最近推出了 Query for AWS Systems Manager Parameter Store，我建议使用它直接从 AWS 进行查询，而不是在我的答案中使用自定义脚本。

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根据boto3 文档，没有用于描述区域的通俗名称的本机功能。

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这是一个带有函数 的小脚本convertRegionCodesToNames()，它获取有效区域 ID 的列表并将它们转换为通用名称。根据需要添加错误处理，以处理无效输入、零长度数组或boto3.

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# replace `regions` variable with the output from the get_available_instances() response\n\nregions = [\'ap-northeast-1\', \'ap-northeast-2\', \'ap-south-1\', \'ap-southeast-1\', \'ap-southeast-2\', \'ca-central-1\', \'eu-central-1\', \'eu-west-1\', \'eu-west-2\', \'eu-west-3\', \'sa-east-1\', \'us-east-1\', \'us-east-2\', \'us-west-1\', \'us-west-2\']\n\ndef convertRegionCodesToNames(regions):\n    # static dict of all region key-value pairs\n    region_dict = {\n      "us-east-1": "N. Virginia",\n      "us-east-2": "Ohio",\n      "us-west-1": "N. California",\n      "us-west-2": "Oregon",\n      "ca-central-1": "Central",\n      "eu-west-1": "Ireland",\n      "eu-central-1": "Frankfurt",\n      "eu-west-2": "London",\n      "eu-west-3": "Paris",\n      "eu-north-1": "Stockholm",\n      "ap-northeast-1": "Tokyo",\n      "ap-northeast-2": "Seoul",\n      "ap-southeast-1": "Singapore",\n      "ap-southeast-2": "Sydney",\n      "ap-south-1": "Mumbai",\n      "sa-east-1": "S\xc3\xa3o Paulo",\n      "us-gov-west-1": "US Gov West 1",\n      "us-gov-east-1": "US Gov East 1"\n    } \n\n    for i in range(len(regions)):\n        regions[i] = region_dict[regions[i]]\n\n    return regions\n\nconverted_regions = convertRegionCodesToNames(regions)\nprint("regions:", converted_regions) \n

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添加后运行$ python3 regions.py会输出：

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regions: [\'Tokyo\', \'Seoul\', \'Mumbai\', \'Singapore\', \'Sydney\', \'Central\', \'Frankfurt\', \'Ireland\', \'London\', \'Paris\', \'S\xc3\xa3o Paulo\', \'N. Virginia\', \'Ohio\', \'N. California\', \'Oregon\']\n

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