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Examples#

Index > Kafka > Examples

Auto-generated documentation for Kafka type annotations stubs module mypy-boto3-kafka.

Client#

Implicit type annotations#

Can be used with boto3-stubs[kafka] package installed.

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

Client method usage example#

# KafkaClient usage example

from boto3.session import Session


session = Session()

client = session.client("kafka")  # (1)
result = client.batch_associate_scram_secret()  # (2)
  1. client: KafkaClient
  2. result: BatchAssociateScramSecretResponseTypeDef

Paginator usage example#

# ListClientVpcConnectionsPaginator usage example

from boto3.session import Session


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

paginator = client.get_paginator("list_client_vpc_connections")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)
  1. client: KafkaClient
  2. paginator: ListClientVpcConnectionsPaginator
  3. item: ListClientVpcConnectionsResponseTypeDef

Explicit type annotations#

With boto3-stubs-lite[kafka] or a standalone mypy_boto3_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 method usage example#

# KafkaClient usage example with type annotations

from boto3.session import Session

from mypy_boto3_kafka.client import KafkaClient
from mypy_boto3_kafka.type_defs import BatchAssociateScramSecretResponseTypeDef
from mypy_boto3_kafka.type_defs import BatchAssociateScramSecretRequestTypeDef


session = Session()

client: KafkaClient = session.client("kafka")

kwargs: BatchAssociateScramSecretRequestTypeDef = {...}
result: BatchAssociateScramSecretResponseTypeDef = client.batch_associate_scram_secret(**kwargs)

Paginator usage example#

# ListClientVpcConnectionsPaginator usage example with type annotations

from boto3.session import Session

from mypy_boto3_kafka.client import KafkaClient
from mypy_boto3_kafka.paginator import ListClientVpcConnectionsPaginator
from mypy_boto3_kafka.type_defs import ListClientVpcConnectionsResponseTypeDef


session = Session()
client: KafkaClient = session.client("kafka")

paginator: ListClientVpcConnectionsPaginator = client.get_paginator("list_client_vpc_connections")
for item in paginator.paginate(...):
    item: ListClientVpcConnectionsResponseTypeDef
    print(item)