DescribeMonitorResponse ¶

class DescribeMonitorResponse(TypedDict, closed=True):
    monitor_name: NotRequired["capo_forecast.types.name.Name"]
    """<p>The name of the monitor.</p>"""
    monitor_arn: NotRequired["capo_forecast.types.arn.Arn"]
    """<p>The Amazon Resource Name (ARN) of the monitor resource described.</p>"""
    resource_arn: NotRequired["capo_forecast.types.arn.Arn"]
    """<p>The Amazon Resource Name (ARN) of the auto predictor being monitored.</p>"""
    status: NotRequired["capo_forecast.types.status.Status"]
    """<p>The status of the monitor resource.</p>"""
    last_evaluation_time: NotRequired["capo_forecast.types.timestamp.Timestamp"]
    """<p>The timestamp of the latest evaluation completed by the monitor.</p>"""
    last_evaluation_state: NotRequired[
        "capo_forecast.types.evaluation_state.EvaluationState"
    ]
    """<p>The state of the monitor's latest evaluation.</p>"""
    baseline: NotRequired["capo_forecast.types.baseline.Baseline"]
    """<p>Metrics you can use as a baseline for comparison purposes. Use these values you interpret monitoring results for an auto predictor.</p>"""
    message: NotRequired["capo_forecast.types.message.Message"]
    """<p>An error message, if any, for the monitor.</p>"""
    creation_time: NotRequired["capo_forecast.types.timestamp.Timestamp"]
    """<p>The timestamp for when the monitor resource was created.</p>"""
    last_modification_time: NotRequired["capo_forecast.types.timestamp.Timestamp"]
    """<p>The timestamp of the latest modification to the monitor.</p>"""
    estimated_evaluation_time_remaining_in_minutes: NotRequired[
        "capo_forecast.types.long.Long"
    ]
    """<p>The estimated number of minutes remaining before the monitor resource finishes its current evaluation.</p>"""