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