describe_monitor

ForecastService.Client.describe_monitor(**kwargs)

Describes a monitor resource. In addition to listing the properties provided in the CreateMonitor request, this operation lists the following properties:

  • Baseline
  • CreationTime
  • LastEvaluationTime
  • LastEvaluationState
  • LastModificationTime
  • Message
  • Status

See also: AWS API Documentation

Request Syntax

response = client.describe_monitor(
    MonitorArn='string'
)
Parameters
MonitorArn (string) --

[REQUIRED]

The Amazon Resource Name (ARN) of the monitor resource to describe.

Return type
dict
Returns
Response Syntax
{
    'MonitorName': 'string',
    'MonitorArn': 'string',
    'ResourceArn': 'string',
    'Status': 'string',
    'LastEvaluationTime': datetime(2015, 1, 1),
    'LastEvaluationState': 'string',
    'Baseline': {
        'PredictorBaseline': {
            'BaselineMetrics': [
                {
                    'Name': 'string',
                    'Value': 123.0
                },
            ]
        }
    },
    'Message': 'string',
    'CreationTime': datetime(2015, 1, 1),
    'LastModificationTime': datetime(2015, 1, 1),
    'EstimatedEvaluationTimeRemainingInMinutes': 123
}

Response Structure

  • (dict) --
    • MonitorName (string) --

      The name of the monitor.

    • MonitorArn (string) --

      The Amazon Resource Name (ARN) of the monitor resource described.

    • ResourceArn (string) --

      The Amazon Resource Name (ARN) of the auto predictor being monitored.

    • Status (string) --

      The status of the monitor resource.

    • LastEvaluationTime (datetime) --

      The timestamp of the latest evaluation completed by the monitor.

    • LastEvaluationState (string) --

      The state of the monitor's latest evaluation.

    • Baseline (dict) --

      Metrics you can use as a baseline for comparison purposes. Use these values you interpret monitoring results for an auto predictor.

      • PredictorBaseline (dict) --

        The initial accuracy metrics for the predictor you are monitoring. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

        • BaselineMetrics (list) --

          The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

          • (dict) --

            An individual metric that you can use for comparison as you evaluate your monitoring results.

            • Name (string) --

              The name of the metric.

            • Value (float) --

              The value for the metric.

    • Message (string) --

      An error message, if any, for the monitor.

    • CreationTime (datetime) --

      The timestamp for when the monitor resource was created.

    • LastModificationTime (datetime) --

      The timestamp of the latest modification to the monitor.

    • EstimatedEvaluationTimeRemainingInMinutes (integer) --

      The estimated number of minutes remaining before the monitor resource finishes its current evaluation.

Exceptions

  • ForecastService.Client.exceptions.InvalidInputException
  • ForecastService.Client.exceptions.ResourceNotFoundException