Examples

Index > ForecastQueryService > Examples

Auto-generated documentation for ForecastQueryService type annotations stubs module types-aiobotocore-forecastquery.

Client

Implicit type annotations

Can be used with types-aiobotocore[forecastquery] package installed.

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

# ForecastQueryServiceClient usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("forecastquery") as client:  # (1)
    result = await client.query_forecast()  # (2)

1. client: ForecastQueryServiceClient
2. result: QueryForecastResponseTypeDef

Explicit type annotations

With types-aiobotocore-lite[forecastquery] or a standalone types_aiobotocore_forecastquery package, you have to explicitly specify client: ForecastQueryServiceClient 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.

# ForecastQueryServiceClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_forecastquery.client import ForecastQueryServiceClient
from types_aiobotocore_forecastquery.type_defs import QueryForecastResponseTypeDef
from types_aiobotocore_forecastquery.type_defs import QueryForecastRequestRequestTypeDef


session = get_session()

async with session.create_client("forecastquery") as client:
    client: ForecastQueryServiceClient
    kwargs: QueryForecastRequestRequestTypeDef = {...}
    result: QueryForecastResponseTypeDef = await client.query_forecast(**kwargs)