Examples

Index > ForecastService > Examples

Auto-generated documentation for ForecastService type annotations stubs module types-aiobotocore-forecast.

Client

Implicit type annotations

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

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

# ForecastServiceClient usage example

from aiobotocore.session import get_session


session = get_session()

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

1. client: ForecastServiceClient
2. result: CreateAutoPredictorResponseTypeDef

# ListDatasetGroupsPaginator usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("forecast") as client:  # (1)
    paginator = client.get_paginator("list_dataset_groups")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: ForecastServiceClient
2. paginator: ListDatasetGroupsPaginator
3. item: ListDatasetGroupsResponseTypeDef

Explicit type annotations

With types-aiobotocore-lite[forecast] or a standalone types_aiobotocore_forecast package, you have to explicitly specify client: ForecastServiceClient 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.

# ForecastServiceClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_forecast.client import ForecastServiceClient
from types_aiobotocore_forecast.type_defs import CreateAutoPredictorResponseTypeDef
from types_aiobotocore_forecast.type_defs import CreateAutoPredictorRequestRequestTypeDef


session = get_session()

async with session.create_client("forecast") as client:
    client: ForecastServiceClient
    kwargs: CreateAutoPredictorRequestRequestTypeDef = {...}
    result: CreateAutoPredictorResponseTypeDef = await client.create_auto_predictor(**kwargs)

# ListDatasetGroupsPaginator usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_forecast.client import ForecastServiceClient
from types_aiobotocore_forecast.paginator import ListDatasetGroupsPaginator
from types_aiobotocore_forecast.type_defs import ListDatasetGroupsResponseTypeDef


session = get_session()

async with session.create_client("forecast") as client:
    client: ForecastServiceClient
    paginator: ListDatasetGroupsPaginator = client.get_paginator("list_dataset_groups")
    async for item in paginator.paginate(...):
        item: ListDatasetGroupsResponseTypeDef
        print(item)