亚马逊网络服务Boto3 -如何使用多个过滤器和迭代标签名称/值？

Question

目前，我正在使用boto3对亚马逊网络服务ec2进行两次调用，以获取以标记名org-production-*和org-non-production-*开头的子网I。我如何在python中组合这两个函数，并且仍然能够访问子网I的all_prod_subnets和all_non_prod_subnets？我可能想避免代码重复，只需调用一次aws ec2，获取所有子网并迭代它们，然后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

Answer 1

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)

示例输出：

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