Examples
Auto-generated documentation for Kafka type annotations stubs module types-aiobotocore-kafka.
Client
Implicit type annotations
Can be used with types-aioboto3[kafka]
package installed.
Write your Kafka
code as usual,
type checking and code completion should work out of the box.
Client usage example
from aioboto3.session import Session
session = Session()
async with session.client("kafka") as client: # (1)
result = await client.batch_associate_scram_secret() # (2)
- client: KafkaClient
- result: BatchAssociateScramSecretResponseTypeDef
Paginator usage example
from aioboto3.session import Session
session = Session()
async with session.client("kafka") as client: # (1)
paginator = client.get_paginator("list_cluster_operations") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: KafkaClient
- paginator: ListClusterOperationsPaginator
- item: ListClusterOperationsResponseTypeDef
Explicit type annotations
With types-aioboto3-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.
Client usage example
from aioboto3.session import 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 = Session()
client: KafkaClient
async with session.client("kafka") as client: # (1)
kwargs: BatchAssociateScramSecretRequestRequestTypeDef = {...} # (2)
result: BatchAssociateScramSecretResponseTypeDef = await client.batch_associate_scram_secret(**kwargs) # (3)
- client: KafkaClient
- kwargs: BatchAssociateScramSecretRequestRequestTypeDef
- result: BatchAssociateScramSecretResponseTypeDef
Paginator usage example
from aioboto3.session import Session
from types_aiobotocore_kafka.client import KafkaClient
from types_aiobotocore_kafka.paginator import ListClusterOperationsPaginator
from types_aiobotocore_kafka.type_defs import ListClusterOperationsResponseTypeDef
session = Session()
client: KafkaClient
async with session.client("kafka") as client: # (1)
paginator: ListClusterOperationsPaginator = client.get_paginator("list_cluster_operations") # (2)
async for item in paginator.paginate(...):
item: ListClusterOperationsResponseTypeDef
print(item) # (3)
- client: KafkaClient
- paginator: ListClusterOperationsPaginator
- item: ListClusterOperationsResponseTypeDef