[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-*
和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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