Examples
Index > CloudFormation > Examples
Auto-generated documentation for CloudFormation type annotations stubs module types-aiobotocore-cloudformation.
Client
Implicit type annotations
Can be used with types-aioboto3[cloudformation]
package installed.
Write your CloudFormation
code as usual,
type checking and code completion should work out of the box.
from aioboto3.session import Session
session = Session()
async with session.client("cloudformation") as client: # (1)
result = await client.activate_type() # (2)
- client: CloudFormationClient
- result: ActivateTypeOutputTypeDef
from aioboto3.session import Session
session = Session()
async with session.client("cloudformation") as client: # (1)
paginator = client.get_paginator("describe_account_limits") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: CloudFormationClient
- paginator: DescribeAccountLimitsPaginator
- item: DescribeAccountLimitsOutputTypeDef
from aioboto3.session import Session
session = Session()
async with session.client("cloudformation") as client: # (1)
waiter = client.get_waiter("change_set_create_complete") # (2)
await waiter.wait()
- client: CloudFormationClient
- waiter: ChangeSetCreateCompleteWaiter
Explicit type annotations
With types-aioboto3-lite[cloudformation]
or a standalone types_aiobotocore_cloudformation
package, you have to explicitly specify
client: CloudFormationClient
type annotation.
All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.
from aioboto3.session import Session
from types_aiobotocore_cloudformation.client import CloudFormationClient
from types_aiobotocore_cloudformation.type_defs import ActivateTypeOutputTypeDef
from types_aiobotocore_cloudformation.type_defs import ActivateTypeInputRequestTypeDef
session = Session()
client: CloudFormationClient
async with session.client("cloudformation") as client: # (1)
kwargs: ActivateTypeInputRequestTypeDef = {...} # (2)
result: ActivateTypeOutputTypeDef = await client.activate_type(**kwargs) # (3)
- client: CloudFormationClient
- kwargs: ActivateTypeInputRequestTypeDef
- result: ActivateTypeOutputTypeDef
from aioboto3.session import Session
from types_aiobotocore_cloudformation.client import CloudFormationClient
from types_aiobotocore_cloudformation.paginator import DescribeAccountLimitsPaginator
from types_aiobotocore_cloudformation.type_defs import DescribeAccountLimitsOutputTypeDef
session = Session()
client: CloudFormationClient
async with session.client("cloudformation") as client: # (1)
paginator: DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits") # (2)
async for item in paginator.paginate(...):
item: DescribeAccountLimitsOutputTypeDef
print(item) # (3)
- client: CloudFormationClient
- paginator: DescribeAccountLimitsPaginator
- item: DescribeAccountLimitsOutputTypeDef
from aioboto3.session import Session
from types_aiobotocore_cloudformation.client import CloudFormationClient
from types_aiobotocore_cloudformation.waiter import ChangeSetCreateCompleteWaiter
session = Session()
async with session.client("cloudformation") as client: # (1)
waiter = client.get_waiter("change_set_create_complete") # (2)
await waiter.wait()
- client: CloudFormationClient
- waiter: ChangeSetCreateCompleteWaiter
Service Resource
Implicit type annotations
Can be used with types-aioboto3[cloudformation]
package installed.
from aioboto3.session import Session
session = Session()
async with session.resource("cloudformation") as resource: # (1)
result = resource.Event() # (2)
- resource: CloudFormationServiceResource
- result:
from aioboto3.session import Session
session = Session()
resource = session.resource("cloudformation") # (1)
collection = resource.stacks # (2)
for item in collection:
print(item) # (3)
- resource: CloudFormationServiceResource
- collection: CloudFormationServiceResource
- item: Stack
Explicit type annotations
With types-aioboto3-lite[cloudformation]
or a standalone types_aiobotocore_cloudformation
package, you have to explicitly specify
resource: CloudFormationServiceResource
type annotation.
All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.
from aioboto3.session import Session
from types_aiobotocore_cloudformation.service_resource import CloudFormationServiceResource
from types_aiobotocore_cloudformation.service_resource import Event
session = Session()
resource: CloudFormationServiceResource
async with session.resource("cloudformation") as resource: # (1)
result: Event = resource.Event() # (2)
- resource: CloudFormationServiceResource
- result:
from aioboto3.session import Session
from types_aiobotocore_cloudformation.service_resource import CloudFormationServiceResource
from types_aiobotocore_cloudformation.service_resource import ServiceResourceStacksCollection
from types_aiobotocore_cloudformation.service_resource import Stack
session = Session()
resource: CloudFormationServiceResource
async with session.resource("cloudformation") as resource: # (1)
collection: ServiceResourceStacksCollection = resource.stacks # (2)
for item in collection:
item: Stack
print(item) # (3)
- resource: CloudFormationServiceResource
- collection: CloudFormationServiceResource
- item: Stack