ForecastService.Client.describe_what_if_analysis(**kwargs)¶Describes the what-if analysis created using the CreateWhatIfAnalysis operation.
In addition to listing the properties provided in the CreateWhatIfAnalysis request, this operation lists the following properties:
CreationTimeLastModificationTimeMessage - If an error occurred, information about the error.StatusSee also: AWS API Documentation
Request Syntax
response = client.describe_what_if_analysis(
WhatIfAnalysisArn='string'
)
[REQUIRED]
The Amazon Resource Name (ARN) of the what-if analysis that you are interested in.
{
'WhatIfAnalysisName': 'string',
'WhatIfAnalysisArn': 'string',
'ForecastArn': 'string',
'EstimatedTimeRemainingInMinutes': 123,
'Status': 'string',
'Message': 'string',
'CreationTime': datetime(2015, 1, 1),
'LastModificationTime': datetime(2015, 1, 1),
'TimeSeriesSelector': {
'TimeSeriesIdentifiers': {
'DataSource': {
'S3Config': {
'Path': 'string',
'RoleArn': 'string',
'KMSKeyArn': 'string'
}
},
'Schema': {
'Attributes': [
{
'AttributeName': 'string',
'AttributeType': 'string'|'integer'|'float'|'timestamp'|'geolocation'
},
]
},
'Format': 'string'
}
}
}
Response Structure
The name of the what-if analysis.
The Amazon Resource Name (ARN) of the what-if analysis.
The Amazon Resource Name (ARN) of the what-if forecast.
The approximate time remaining to complete the what-if analysis, in minutes.
The status of the what-if analysis. States include:
ACTIVECREATE_PENDING , CREATE_IN_PROGRESS , CREATE_FAILEDCREATE_STOPPING , CREATE_STOPPEDDELETE_PENDING , DELETE_IN_PROGRESS , DELETE_FAILEDNote
The Status of the what-if analysis must be ACTIVE before you can access the analysis.
If an error occurred, an informational message about the error.
When the what-if analysis was created.
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.Defines the set of time series that are used to create the forecasts in a TimeSeriesIdentifiers object.
The TimeSeriesIdentifiers object needs the following information:
DataSourceFormatSchemaDetails about the import file that contains the time series for which you want to create forecasts.
The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.
The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data.
The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket.
The ARN of the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the KMSKeyArn key, the role must allow access to the key.
Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
The Amazon Resource Name (ARN) of an Key Management Service (KMS) key.
Defines the fields of a dataset.
An array of attributes specifying the name and type of each field in a dataset.
An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.
The name of the dataset field.
The data type of the field.
For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).
The format of the data, either CSV or PARQUET.
Exceptions
ForecastService.Client.exceptions.InvalidInputExceptionForecastService.Client.exceptions.ResourceNotFoundException