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.

Client method usage example

# 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

Paginator usage example

# 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.

Client method usage example

# 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 CreateAutoPredictorRequestTypeDef


session = get_session()

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

Paginator usage example

# 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)