ForecastQueryService

Table of Contents

• ForecastQueryService
  • Client
  • Paginators

Client

class ForecastQueryService.Client

A low-level client representing Amazon Forecast Query Service

Provides APIs for creating and managing Amazon Forecast resources.

import boto3

client = boto3.client('forecastquery')

These are the available methods:

• can_paginate()
• generate_presigned_url()
• get_paginator()
• get_waiter()
• query_forecast()

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Returns

True if the operation can be paginated, False otherwise.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters

• ClientMethod (string) -- The client method to presign for
• Params (dict) -- The parameters normally passed to ClientMethod.
• ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
• HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.

Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Raises OperationNotPageableError

Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.

Return type

L{botocore.paginate.Paginator}

Returns

A paginator object.

get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters

waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.

Returns

The specified waiter object.

Return type

botocore.waiter.Waiter

query_forecast(**kwargs)

Retrieves a forecast for a single item, filtered by the supplied criteria.

The criteria is a key-value pair. The key is either item_id (or the equivalent non-timestamp, non-target field) from the TARGET_TIME_SERIES dataset, or one of the forecast dimensions specified as part of the FeaturizationConfig object.

By default, QueryForecast returns the complete date range for the filtered forecast. You can request a specific date range.

To get the full forecast, use the CreateForecastExportJob operation.

Note

The forecasts generated by Amazon Forecast are in the same timezone as the dataset that was used to create the predictor.

See also: AWS API Documentation

Request Syntax

response = client.query_forecast(
    ForecastArn='string',
    StartDate='string',
    EndDate='string',
    Filters={
        'string': 'string'
    },
    NextToken='string'
)

Parameters

• ForecastArn (string) --

  [REQUIRED]

  The Amazon Resource Name (ARN) of the forecast to query.

• StartDate (string) -- The start date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss (ISO 8601 format). For example, 2015-01-01T08:00:00.
• EndDate (string) -- The end date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss (ISO 8601 format). For example, 2015-01-01T20:00:00.
• Filters (dict) --

  [REQUIRED]

  The filtering criteria to apply when retrieving the forecast. For example, to get the forecast for client_21 in the electricity usage dataset, specify the following:

  {"item_id" : "client_21"}

  To get the full forecast, use the CreateForecastExportJob operation.

  • (string) --
    • (string) --
• NextToken (string) -- If the result of the previous request was truncated, the response includes a NextToken . To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

Return type

dict

Returns

Response Syntax

{
    'Forecast': {
        'Predictions': {
            'string': [
                {
                    'Timestamp': 'string',
                    'Value': 123.0
                },
            ]
        }
    }
}

Response Structure

• (dict) --

  • Forecast (dict) --

    The forecast.

    • Predictions (dict) --

      The forecast.

      The string of the string-to-array map is one of the following values:

      • p10
      • p50
      • p90

      • (string) --

        • (list) --

          • (dict) --

            The forecast value for a specific date. Part of the Forecast object.

            • Timestamp (string) --

              The timestamp of the specific forecast.

            • Value (float) --

              The forecast value.

Exceptions

• ForecastQueryService.Client.exceptions.ResourceNotFoundException
• ForecastQueryService.Client.exceptions.ResourceInUseException
• ForecastQueryService.Client.exceptions.InvalidInputException
• ForecastQueryService.Client.exceptions.LimitExceededException
• ForecastQueryService.Client.exceptions.InvalidNextTokenException

Paginators

The available paginators are: