AWS Boto3-如何使用多个过滤器并迭代标签名称/值

Question

目前，我正在使用boto3对AWS 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ID。如何在python中组合这两个函数，并且仍然能够访问子网ID的all_prod_subnet和all_non_prod_subnet？我可能想避免代码重复——只调用aws ec2一次，获取所有子网并迭代它们，并根据标记名称过滤响应。

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']
}