Examples#
Auto-generated documentation for Kafka type annotations stubs module types-aiobotocore-kafka.
Client#
Implicit type annotations#
Can be used with types-aiobotocore[kafka] package installed.
Write your Kafka code as usual,
type checking and code completion should work out of the box.
# KafkaClient usage example
from aiobotocore.session import get_session
session = get_session()
async with session.create_client("kafka") as client: # (1)
result = await client.batch_associate_scram_secret() # (2)- client: KafkaClient
- result: BatchAssociateScramSecretResponseTypeDef
# ListClientVpcConnectionsPaginator usage example
from aiobotocore.session import get_session
session = get_session()
async with session.create_client("kafka") as client: # (1)
paginator = client.get_paginator("list_client_vpc_connections") # (2)
async for item in paginator.paginate(...):
print(item) # (3)- client: KafkaClient
- paginator: ListClientVpcConnectionsPaginator
- item: ListClientVpcConnectionsResponseTypeDef
Explicit type annotations#
With types-aiobotocore-lite[kafka]
or a standalone types_aiobotocore_kafka package, you have to explicitly specify
client: KafkaClient 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.
# KafkaClient usage example with type annotations
from aiobotocore.session import get_session
from types_aiobotocore_kafka.client import KafkaClient
from types_aiobotocore_kafka.type_defs import BatchAssociateScramSecretResponseTypeDef
from types_aiobotocore_kafka.type_defs import BatchAssociateScramSecretRequestRequestTypeDef
session = get_session()
async with session.create_client("kafka") as client:
client: KafkaClient
kwargs: BatchAssociateScramSecretRequestRequestTypeDef = {...}
result: BatchAssociateScramSecretResponseTypeDef = await client.batch_associate_scram_secret(**kwargs)# ListClientVpcConnectionsPaginator usage example with type annotations
from aiobotocore.session import get_session
from types_aiobotocore_kafka.client import KafkaClient
from types_aiobotocore_kafka.paginator import ListClientVpcConnectionsPaginator
from types_aiobotocore_kafka.type_defs import ListClientVpcConnectionsResponseTypeDef
session = get_session()
async with session.create_client("kafka") as client:
client: KafkaClient
paginator: ListClientVpcConnectionsPaginator = client.get_paginator("list_client_vpc_connections")
async for item in paginator.paginate(...):
item: ListClientVpcConnectionsResponseTypeDef
print(item)