ForecastService.Paginator.
ListForecasts
¶paginator = client.get_paginator('list_forecasts')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from ForecastService.Client.list_forecasts()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
Filters=[
{
'Key': 'string',
'Value': 'string',
'Condition': 'IS'|'IS_NOT'
},
],
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS
or IS_NOT
, which specifies whether to include or exclude the forecasts that match the statement from the list, respectively. The match statement consists of a key and a value.
Filter properties
Condition
- The condition to apply. Valid values are IS
and IS_NOT
. To include the forecasts that match the statement, specify IS
. To exclude matching forecasts, specify IS_NOT
.Key
- The name of the parameter to filter on. Valid values are DatasetGroupArn
, PredictorArn
, and Status
.Value
- The value to match.For example, to list all forecasts whose status is not ACTIVE, you would specify:
"Filters": [ { "Condition": "IS_NOT", "Key": "Status", "Value": "ACTIVE" } ]
Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS
or IS_NOT
, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.
The name of the parameter to filter on.
The value to match.
The condition to apply. To include the objects that match the statement, specify IS
. To exclude matching objects, specify IS_NOT
.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken
will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'Forecasts': [
{
'ForecastArn': 'string',
'ForecastName': 'string',
'PredictorArn': 'string',
'CreatedUsingAutoPredictor': True|False,
'DatasetGroupArn': 'string',
'Status': 'string',
'Message': 'string',
'CreationTime': datetime(2015, 1, 1),
'LastModificationTime': datetime(2015, 1, 1)
},
],
}
Response Structure
(dict) --
Forecasts (list) --
An array of objects that summarize each forecast's properties.
(dict) --
Provides a summary of the forecast properties used in the ListForecasts operation. To get the complete set of properties, call the DescribeForecast operation, and provide the ForecastArn
that is listed in the summary.
ForecastArn (string) --
The ARN of the forecast.
ForecastName (string) --
The name of the forecast.
PredictorArn (string) --
The ARN of the predictor used to generate the forecast.
CreatedUsingAutoPredictor (boolean) --
Whether the Forecast was created from an AutoPredictor.
DatasetGroupArn (string) --
The Amazon Resource Name (ARN) of the dataset group that provided the data used to train the predictor.
Status (string) --
The status of the forecast. States include:
ACTIVE
CREATE_PENDING
, CREATE_IN_PROGRESS
, CREATE_FAILED
CREATE_STOPPING
, CREATE_STOPPED
DELETE_PENDING
, DELETE_IN_PROGRESS
, DELETE_FAILED
Note
The Status
of the forecast must be ACTIVE
before you can query or export the forecast.
Message (string) --
If an error occurred, an informational message about the error.
CreationTime (datetime) --
When the forecast creation task was created.
LastModificationTime (datetime) --
The last time the resource was modified. The timestamp depends on the status of the job:
CREATE_PENDING
- The CreationTime
.CREATE_IN_PROGRESS
- The current timestamp.CREATE_STOPPING
- The current timestamp.CREATE_STOPPED
- When the job stopped.ACTIVE
or CREATE_FAILED
- When the job finished or failed.