Examples

Index > CloudFormation > Examples

Auto-generated documentation for CloudFormation type annotations stubs module types-boto3-cloudformation.

Client

Implicit type annotations

Can be used with types-boto3[cloudformation] package installed.

Write your CloudFormation code as usual, type checking and code completion should work out of the box.

Client method usage example

# CloudFormationClient usage example

from boto3.session import Session


session = Session()

client = session.client("cloudformation")  # (1)
result = client.activate_type()  # (2)

1. client: CloudFormationClient
2. result: ActivateTypeOutputTypeDef

Paginator usage example

# DescribeAccountLimitsPaginator usage example

from boto3.session import Session


session = Session()
client = session.client("cloudformation")  # (1)

paginator = client.get_paginator("describe_account_limits")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: CloudFormationClient
2. paginator: DescribeAccountLimitsPaginator
3. item: DescribeAccountLimitsOutputTypeDef

Waiter usage example

# ChangeSetCreateCompleteWaiter usage example

from boto3.session import Session


session = Session()
client = session.client("cloudformation")  # (1)

waiter = client.get_waiter("change_set_create_complete")  # (2)
waiter.wait(...)

1. client: CloudFormationClient
2. waiter: ChangeSetCreateCompleteWaiter

Explicit type annotations

With types-boto3-lite[cloudformation] or a standalone types_boto3_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.

Client method usage example

# CloudFormationClient usage example with type annotations

from boto3.session import Session

from types_boto3_cloudformation.client import CloudFormationClient
from types_boto3_cloudformation.type_defs import ActivateTypeOutputTypeDef
from types_boto3_cloudformation.type_defs import ActivateTypeInputTypeDef


session = Session()

client: CloudFormationClient = session.client("cloudformation")

kwargs: ActivateTypeInputTypeDef = {...}
result: ActivateTypeOutputTypeDef = client.activate_type(**kwargs)

Paginator usage example

# DescribeAccountLimitsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_cloudformation.client import CloudFormationClient
from types_boto3_cloudformation.paginator import DescribeAccountLimitsPaginator
from types_boto3_cloudformation.type_defs import DescribeAccountLimitsOutputTypeDef


session = Session()
client: CloudFormationClient = session.client("cloudformation")

paginator: DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits")
for item in paginator.paginate(...):
    item: DescribeAccountLimitsOutputTypeDef
    print(item)

Waiter usage example

# ChangeSetCreateCompleteWaiter usage example with type annotations

from boto3.session import Session

from types_boto3_cloudformation.client import CloudFormationClient
from types_boto3_cloudformation.waiter import ChangeSetCreateCompleteWaiter

session = Session()
client: CloudFormationClient = session.client("cloudformation")

waiter: ChangeSetCreateCompleteWaiter = client.get_waiter("change_set_create_complete")
waiter.wait(...)

Service Resource

Implicit type annotations

Can be used with types-boto3[cloudformation] package installed.

ServiceResource method usage example

# CloudFormationServiceResource usage example

from boto3.session import Session


session = Session()

resource = session.resource("cloudformation")  # (1)
result = resource.create_stack(...)  # (2)

1. resource: CloudFormationServiceResource
2. result: Stack

Collection usage example

# ServiceResourceStacksCollection usage example

from boto3.session import Session


session = Session()
resource = session.resource("cloudformation")  # (1)

collection = resource.stacks  # (2)
for item in collection:
    print(item)  # (3)

1. resource: CloudFormationServiceResource
2. collection: ServiceResourceStacksCollection
3. item: Stack

Explicit type annotations

With types-boto3-lite[cloudformation] or a standalone types_boto3_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.

ServiceResource method usage example

# CloudFormationServiceResource usage example with type annotations

from boto3.session import Session

from types_boto3_cloudformation.service_resource import CloudFormationServiceResource
from types_boto3_cloudformation.service_resource import Stack
from types_boto3_cloudformation.type_defs import CreateStackInputServiceResourceCreateStackTypeDef


session = Session()

resource: CloudFormationServiceResource = session.resource("cloudformation")
kwargs: CreateStackInputServiceResourceCreateStackTypeDef = {...}  # (2)
result: Stack = resource.create_stack(**kwargs)

1. resource: CloudFormationServiceResource
2. kwargs: CreateStackInputServiceResourceCreateStackTypeDef
3. result: Stack

Collection usage example

# ServiceResourceStacksCollection usage example with type annotations

from boto3.session import Session

from types_boto3_cloudformation.service_resource import CloudFormationServiceResource
from types_boto3_cloudformation.service_resource import ServiceResourceStacksCollection
from types_boto3_cloudformation.service_resource import Stack


session = Session()

resource: CloudFormationServiceResource = session.resource("cloudformation")  # (1)

collection: ServiceResourceStacksCollection = resource.stacks  # (2)
for item in collection:
    item: Stack
    print(item)  # (3)

1. resource: CloudFormationServiceResource
2. collection: CloudFormationServiceResource
3. item: Stack