Examples#
Auto-generated documentation for SESV2 type annotations stubs module types-aiobotocore-sesv2.
Client#
Implicit type annotations#
Can be used with types-aioboto3[sesv2] package installed.
Write your SESV2 code as usual,
type checking and code completion should work out of the box.
# SESV2Client usage example
from aioboto3.session import Session
session = Session()
async with session.client("sesv2") as client: # (1)
result = await client.batch_get_metric_data() # (2)- client: SESV2Client
- result: BatchGetMetricDataResponseTypeDef
Explicit type annotations#
With types-aioboto3-lite[sesv2]
or a standalone types_aiobotocore_sesv2 package, you have to explicitly specify
client: SESV2Client 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.
# SESV2Client usage example with type annotations
from aioboto3.session import Session
from types_aiobotocore_sesv2.client import SESV2Client
from types_aiobotocore_sesv2.type_defs import BatchGetMetricDataResponseTypeDef
from types_aiobotocore_sesv2.type_defs import BatchGetMetricDataRequestRequestTypeDef
session = Session()
client: SESV2Client
async with session.client("sesv2") as client: # (1)
kwargs: BatchGetMetricDataRequestRequestTypeDef = {...} # (2)
result: BatchGetMetricDataResponseTypeDef = await client.batch_get_metric_data(**kwargs) # (3)- client: SESV2Client
- kwargs: BatchGetMetricDataRequestRequestTypeDef
- result: BatchGetMetricDataResponseTypeDef