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AWS Boto3 - 如何使用多个过滤器并迭代标签名称/值?

[英]AWS Boto3 - How to use multiple filters and iterate over Tag names/values?

目前,我正在使用 boto3 对 AWS ec2 进行两次调用,以获取以标签名称org-production-*org-non-production-*开头的子网 ID。 如何在 python 中结合这两个功能,并且仍然能够访问 SubnetID 的 all_prod_subnets 和 all_non_prod_subnets? 我可能想避免重复代码只调用一次 aws ec2,获取所有子网并迭代它们并根据标签名称过滤响应。

def get_all_production_subnets_from_accounts():
    subnet = vpc_client.describe_subnets(
        Filters=[{'Name': 'tag:Name', 'Values': ['org-production-*']}])['Subnets']
    if len(subnet) > 0:
        # print([s['SubnetId'] for s in subnet])
        all_prod_subnets =  [ s['SubnetId'] for s in subnet ]
        print("[DEBUG]Queried Subnet ID's of Production are: {}".format(all_prod_subnets))
        return all_prod_subnets
    else:
        return None

def get_all_nonproduction_subnets_from_acccounts():
    subnet = vpc_client.describe_subnets(
        Filters=[{'Name': 'tag:Name', 'Values': ['org-non-production-*']}])['Subnets']
    if len(subnet) > 0:
        # print([s['SubnetId'] for s in subnet])
        all_non_prod_subnets =  [ s['SubnetId'] for s in subnet ]
        print("[DEBUG]Queried Subnet ID's of Non-Production are: {}".format(all_non_prod_subnets))
        return all_non_prod_subnets
    else:
        return None

一种方法如下:

def get_all_subnets_from_connectivity():

    subnets_found = {}
    
    # define subnet types of interest
    subnets_found['org-production'] = []
    subnets_found['org-non-production'] = []
    
    results = vpc_client.describe_subnets() 

    for subnet in results['Subnets']:

        if 'Tags' not in subnet:
            continue

        for tag in subnet['Tags']:

            if tag['Key'] != 'Name': continue
                
            for subnet_type in subnets_found:               
                if subnet_type in tag['Value']:
                    subnets_found[subnet_type].append(subnet['SubnetId'])

    return subnets_found



all_subnets = get_all_subnets_from_connectivity()


print(all_subnets)

示例 output:

{
'org-production': ['subnet-033bad31433b55e72', 'subnet-019879db91313d56a'], 
'org-non-production': ['subnet-06e3bc20a73b55283']
}

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