Examples
Index > KafkaConnect > Examples
Auto-generated documentation for KafkaConnect type annotations stubs module mypy-boto3-kafkaconnect.
Client
Implicit type annotations
Can be used with boto3-stubs[kafkaconnect]
package installed.
Write your KafkaConnect
code as usual,
type checking and code completion should work out of the box.
Client usage example
from boto3.session import Session
session = Session()
client = session.client("kafkaconnect") # (1)
result = client.create_connector() # (2)
- client: KafkaConnectClient
- result: CreateConnectorResponseTypeDef
Paginator usage example
from boto3.session import Session
session = Session()
client = session.client("kafkaconnect") # (1)
paginator = client.get_paginator("list_connectors") # (2)
for item in paginator.paginate(...):
print(item) # (3)
- client: KafkaConnectClient
- paginator: ListConnectorsPaginator
- item: ListConnectorsResponseTypeDef
Explicit type annotations
With boto3-stubs-lite[kafkaconnect]
or a standalone mypy_boto3_kafkaconnect
package, you have to explicitly specify client: KafkaConnectClient
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 boto3.session import Session
from mypy_boto3_kafkaconnect.client import KafkaConnectClient
from mypy_boto3_kafkaconnect.type_defs import CreateConnectorResponseTypeDef
from mypy_boto3_kafkaconnect.type_defs import CreateConnectorRequestRequestTypeDef
session = Session()
client: KafkaConnectClient = session.client("kafkaconnect")
kwargs: CreateConnectorRequestRequestTypeDef = {...}
result: CreateConnectorResponseTypeDef = client.create_connector(**kwargs)
Paginator usage example
from boto3.session import Session
from mypy_boto3_kafkaconnect.client import KafkaConnectClient
from mypy_boto3_kafkaconnect.paginator import ListConnectorsPaginator
from mypy_boto3_kafkaconnect.type_defs import ListConnectorsResponseTypeDef
session = Session()
client: KafkaConnectClient = session.client("kafkaconnect")
paginator: ListConnectorsPaginator = client.get_paginator("list_connectors")
for item in paginator.paginate(...):
item: ListConnectorsResponseTypeDef
print(item)