CfnAnomalyDetectorProps

class aws_cdk.aws_cloudwatch.CfnAnomalyDetectorProps(*, configuration=None, dimensions=None, metric_math_anomaly_detector=None, metric_name=None, namespace=None, single_metric_anomaly_detector=None, stat=None)

Bases: object

Properties for defining a CfnAnomalyDetector.

Parameters:

configuration (Union[IResolvable, ConfigurationProperty, Dict[str, Any], None]) – Specifies details about how the anomaly detection model is to be trained, including time ranges to exclude when training and updating the model. The configuration can also include the time zone to use for the metric.
dimensions (Union[IResolvable, Sequence[Union[IResolvable, DimensionProperty, Dict[str, Any]]], None]) – The dimensions of the metric associated with the anomaly detection band.
metric_math_anomaly_detector (Union[IResolvable, MetricMathAnomalyDetectorProperty, Dict[str, Any], None]) – The CloudWatch metric math expression for this anomaly detector.
metric_name (Optional[str]) – The name of the metric associated with the anomaly detection band.
namespace (Optional[str]) – The namespace of the metric associated with the anomaly detection band.
single_metric_anomaly_detector (Union[IResolvable, SingleMetricAnomalyDetectorProperty, Dict[str, Any], None]) – The CloudWatch metric and statistic for this anomaly detector.
stat (Optional[str]) – The statistic of the metric associated with the anomaly detection band.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cloudwatch-anomalydetector.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_cloudwatch as cloudwatch

cfn_anomaly_detector_props = cloudwatch.CfnAnomalyDetectorProps(
    configuration=cloudwatch.CfnAnomalyDetector.ConfigurationProperty(
        excluded_time_ranges=[cloudwatch.CfnAnomalyDetector.RangeProperty(
            end_time="endTime",
            start_time="startTime"
        )],
        metric_time_zone="metricTimeZone"
    ),
    dimensions=[cloudwatch.CfnAnomalyDetector.DimensionProperty(
        name="name",
        value="value"
    )],
    metric_math_anomaly_detector=cloudwatch.CfnAnomalyDetector.MetricMathAnomalyDetectorProperty(
        metric_data_queries=[cloudwatch.CfnAnomalyDetector.MetricDataQueryProperty(
            id="id",

            # the properties below are optional
            account_id="accountId",
            expression="expression",
            label="label",
            metric_stat=cloudwatch.CfnAnomalyDetector.MetricStatProperty(
                metric=cloudwatch.CfnAnomalyDetector.MetricProperty(
                    metric_name="metricName",
                    namespace="namespace",

                    # the properties below are optional
                    dimensions=[cloudwatch.CfnAnomalyDetector.DimensionProperty(
                        name="name",
                        value="value"
                    )]
                ),
                period=123,
                stat="stat",

                # the properties below are optional
                unit="unit"
            ),
            period=123,
            return_data=False
        )]
    ),
    metric_name="metricName",
    namespace="namespace",
    single_metric_anomaly_detector=cloudwatch.CfnAnomalyDetector.SingleMetricAnomalyDetectorProperty(
        account_id="accountId",
        dimensions=[cloudwatch.CfnAnomalyDetector.DimensionProperty(
            name="name",
            value="value"
        )],
        metric_name="metricName",
        namespace="namespace",
        stat="stat"
    ),
    stat="stat"
)