CloudWatch / Client / describe_anomaly_detectors

describe_anomaly_detectors#

CloudWatch.Client.describe_anomaly_detectors(**kwargs)#

Lists the anomaly detection models that you have created in your account. For single metric anomaly detectors, you can list all of the models in your account or filter the results to only the models that are related to a certain namespace, metric name, or metric dimension. For metric math anomaly detectors, you can list them by adding METRIC_MATH to the AnomalyDetectorTypes array. This will return all metric math anomaly detectors in your account.

See also: AWS API Documentation

Request Syntax

response = client.describe_anomaly_detectors(
    NextToken='string',
    MaxResults=123,
    Namespace='string',
    MetricName='string',
    Dimensions=[
        {
            'Name': 'string',
            'Value': 'string'
        },
    ],
    AnomalyDetectorTypes=[
        'SINGLE_METRIC'|'METRIC_MATH',
    ]
)
Parameters:

  • NextToken (string) – Use the token returned by the previous operation to request the next page of results.

  • MaxResults (integer) –

    The maximum number of results to return in one operation. The maximum value that you can specify is 100.

    To retrieve the remaining results, make another call with the returned NextToken value.

  • Namespace (string) – Limits the results to only the anomaly detection models that are associated with the specified namespace.

  • MetricName (string) – Limits the results to only the anomaly detection models that are associated with the specified metric name. If there are multiple metrics with this name in different namespaces that have anomaly detection models, they’re all returned.

  • Dimensions (list) –

    Limits the results to only the anomaly detection models that are associated with the specified metric dimensions. If there are multiple metrics that have these dimensions and have anomaly detection models associated, they’re all returned.

    • (dict) –

      A dimension is a name/value pair that is part of the identity of a metric. Because dimensions are part of the unique identifier for a metric, whenever you add a unique name/value pair to one of your metrics, you are creating a new variation of that metric. For example, many Amazon EC2 metrics publish InstanceId as a dimension name, and the actual instance ID as the value for that dimension.

      You can assign up to 30 dimensions to a metric.

      • Name (string) – [REQUIRED]

        The name of the dimension. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon ( :). ASCII control characters are not supported as part of dimension names.

      • Value (string) – [REQUIRED]

        The value of the dimension. Dimension values must contain only ASCII characters and must include at least one non-whitespace character. ASCII control characters are not supported as part of dimension values.

  • AnomalyDetectorTypes (list) –

    The anomaly detector types to request when using DescribeAnomalyDetectorsInput. If empty, defaults to SINGLE_METRIC.

    • (string) –

Return type:

dict

Returns:

Response Syntax

{
    'AnomalyDetectors': [
        {
            'Namespace': 'string',
            'MetricName': 'string',
            'Dimensions': [
                {
                    'Name': 'string',
                    'Value': 'string'
                },
            ],
            'Stat': 'string',
            'Configuration': {
                'ExcludedTimeRanges': [
                    {
                        'StartTime': datetime(2015, 1, 1),
                        'EndTime': datetime(2015, 1, 1)
                    },
                ],
                'MetricTimezone': 'string'
            },
            'StateValue': 'PENDING_TRAINING'|'TRAINED_INSUFFICIENT_DATA'|'TRAINED',
            'MetricCharacteristics': {
                'PeriodicSpikes': True|False
            },
            'SingleMetricAnomalyDetector': {
                'AccountId': 'string',
                'Namespace': 'string',
                'MetricName': 'string',
                'Dimensions': [
                    {
                        'Name': 'string',
                        'Value': 'string'
                    },
                ],
                'Stat': 'string'
            },
            'MetricMathAnomalyDetector': {
                'MetricDataQueries': [
                    {
                        'Id': 'string',
                        'MetricStat': {
                            'Metric': {
                                'Namespace': 'string',
                                'MetricName': 'string',
                                'Dimensions': [
                                    {
                                        'Name': 'string',
                                        'Value': 'string'
                                    },
                                ]
                            },
                            'Period': 123,
                            'Stat': 'string',
                            'Unit': 'Seconds'|'Microseconds'|'Milliseconds'|'Bytes'|'Kilobytes'|'Megabytes'|'Gigabytes'|'Terabytes'|'Bits'|'Kilobits'|'Megabits'|'Gigabits'|'Terabits'|'Percent'|'Count'|'Bytes/Second'|'Kilobytes/Second'|'Megabytes/Second'|'Gigabytes/Second'|'Terabytes/Second'|'Bits/Second'|'Kilobits/Second'|'Megabits/Second'|'Gigabits/Second'|'Terabits/Second'|'Count/Second'|'None'
                        },
                        'Expression': 'string',
                        'Label': 'string',
                        'ReturnData': True|False,
                        'Period': 123,
                        'AccountId': 'string'
                    },
                ]
            }
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) –

    • AnomalyDetectors (list) –

      The list of anomaly detection models returned by the operation.

      • (dict) –

        An anomaly detection model associated with a particular CloudWatch metric, statistic, or metric math expression. You can use the model to display a band of expected, normal values when the metric is graphed.

        If you have enabled unified cross-account observability, and this account is a monitoring account, the metric can be in the same account or a source account.

        • Namespace (string) –

          The namespace of the metric associated with the anomaly detection model.

        • MetricName (string) –

          The name of the metric associated with the anomaly detection model.

        • Dimensions (list) –

          The metric dimensions associated with the anomaly detection model.

          • (dict) –

            A dimension is a name/value pair that is part of the identity of a metric. Because dimensions are part of the unique identifier for a metric, whenever you add a unique name/value pair to one of your metrics, you are creating a new variation of that metric. For example, many Amazon EC2 metrics publish InstanceId as a dimension name, and the actual instance ID as the value for that dimension.

            You can assign up to 30 dimensions to a metric.

            • Name (string) –

              The name of the dimension. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon ( :). ASCII control characters are not supported as part of dimension names.

            • Value (string) –

              The value of the dimension. Dimension values must contain only ASCII characters and must include at least one non-whitespace character. ASCII control characters are not supported as part of dimension values.

        • Stat (string) –

          The statistic associated with the anomaly detection model.

        • Configuration (dict) –

          The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.

          • ExcludedTimeRanges (list) –

            An array of time ranges to exclude from use when the anomaly detection model is trained. Use this to make sure that events that could cause unusual values for the metric, such as deployments, aren’t used when CloudWatch creates the model.

            • (dict) –

              Specifies one range of days or times to exclude from use for training an anomaly detection model.

              • StartTime (datetime) –

                The start time of the range to exclude. The format is yyyy-MM-dd'T'HH:mm:ss. For example, 2019-07-01T23:59:59.

              • EndTime (datetime) –

                The end time of the range to exclude. The format is yyyy-MM-dd'T'HH:mm:ss. For example, 2019-07-01T23:59:59.

          • MetricTimezone (string) –

            The time zone to use for the metric. This is useful to enable the model to automatically account for daylight savings time changes if the metric is sensitive to such time changes.

            To specify a time zone, use the name of the time zone as specified in the standard tz database. For more information, see tz database.

        • StateValue (string) –

          The current status of the anomaly detector’s training.

        • MetricCharacteristics (dict) –

          This object includes parameters that you can use to provide information about your metric to CloudWatch to help it build more accurate anomaly detection models. Currently, it includes the PeriodicSpikes parameter.

          • PeriodicSpikes (boolean) –

            Set this parameter to true if values for this metric consistently include spikes that should not be considered to be anomalies. With this set to true, CloudWatch will expect to see spikes that occurred consistently during the model training period, and won’t flag future similar spikes as anomalies.

        • SingleMetricAnomalyDetector (dict) –

          The CloudWatch metric and statistic for this anomaly detector.

          • AccountId (string) –

            If the CloudWatch metric that provides the time series that the anomaly detector uses as input is in another account, specify that account ID here. If you omit this parameter, the current account is used.

          • Namespace (string) –

            The namespace of the metric to create the anomaly detection model for.

          • MetricName (string) –

            The name of the metric to create the anomaly detection model for.

          • Dimensions (list) –

            The metric dimensions to create the anomaly detection model for.

            • (dict) –

              A dimension is a name/value pair that is part of the identity of a metric. Because dimensions are part of the unique identifier for a metric, whenever you add a unique name/value pair to one of your metrics, you are creating a new variation of that metric. For example, many Amazon EC2 metrics publish InstanceId as a dimension name, and the actual instance ID as the value for that dimension.

              You can assign up to 30 dimensions to a metric.

              • Name (string) –

                The name of the dimension. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon ( :). ASCII control characters are not supported as part of dimension names.

              • Value (string) –

                The value of the dimension. Dimension values must contain only ASCII characters and must include at least one non-whitespace character. ASCII control characters are not supported as part of dimension values.

          • Stat (string) –

            The statistic to use for the metric and anomaly detection model.

        • MetricMathAnomalyDetector (dict) –

          The CloudWatch metric math expression for this anomaly detector.

          • MetricDataQueries (list) –

            An array of metric data query structures that enables you to create an anomaly detector based on the result of a metric math expression. Each item in MetricDataQueries gets a metric or performs a math expression. One item in MetricDataQueries is the expression that provides the time series that the anomaly detector uses as input. Designate the expression by setting ReturnData to true for this object in the array. For all other expressions and metrics, set ReturnData to false. The designated expression must return a single time series.

            • (dict) –

              This structure is used in both GetMetricData and PutMetricAlarm. The supported use of this structure is different for those two operations.

              When used in GetMetricData, it indicates the metric data to return, and whether this call is just retrieving a batch set of data for one metric, or is performing a Metrics Insights query or a math expression. A single GetMetricData call can include up to 500 MetricDataQuery structures.

              When used in PutMetricAlarm, it enables you to create an alarm based on a metric math expression. Each MetricDataQuery in the array specifies either a metric to retrieve, or a math expression to be performed on retrieved metrics. A single PutMetricAlarm call can include up to 20 MetricDataQuery structures in the array. The 20 structures can include as many as 10 structures that contain a MetricStat parameter to retrieve a metric, and as many as 10 structures that contain the Expression parameter to perform a math expression. Of those Expression structures, one must have true as the value for ReturnData. The result of this expression is the value the alarm watches.

              Any expression used in a PutMetricAlarm operation must return a single time series. For more information, see Metric Math Syntax and Functions in the Amazon CloudWatch User Guide.

              Some of the parameters of this structure also have different uses whether you are using this structure in a GetMetricData operation or a PutMetricAlarm operation. These differences are explained in the following parameter list.

              • Id (string) –

                A short name used to tie this object to the results in the response. This name must be unique within a single call to GetMetricData. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscore. The first character must be a lowercase letter.

              • MetricStat (dict) –

                The metric to be returned, along with statistics, period, and units. Use this parameter only if this object is retrieving a metric and not performing a math expression on returned data.

                Within one MetricDataQuery object, you must specify either Expression or MetricStat but not both.

                • Metric (dict) –

                  The metric to return, including the metric name, namespace, and dimensions.

                  • Namespace (string) –

                    The namespace of the metric.

                  • MetricName (string) –

                    The name of the metric. This is a required field.

                  • Dimensions (list) –

                    The dimensions for the metric.

                    • (dict) –

                      A dimension is a name/value pair that is part of the identity of a metric. Because dimensions are part of the unique identifier for a metric, whenever you add a unique name/value pair to one of your metrics, you are creating a new variation of that metric. For example, many Amazon EC2 metrics publish InstanceId as a dimension name, and the actual instance ID as the value for that dimension.

                      You can assign up to 30 dimensions to a metric.

                      • Name (string) –

                        The name of the dimension. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon ( :). ASCII control characters are not supported as part of dimension names.

                      • Value (string) –

                        The value of the dimension. Dimension values must contain only ASCII characters and must include at least one non-whitespace character. ASCII control characters are not supported as part of dimension values.

                • Period (integer) –

                  The granularity, in seconds, of the returned data points. For metrics with regular resolution, a period can be as short as one minute (60 seconds) and must be a multiple of 60. For high-resolution metrics that are collected at intervals of less than one minute, the period can be 1, 5, 10, 30, 60, or any multiple of 60. High-resolution metrics are those metrics stored by a PutMetricData call that includes a StorageResolution of 1 second.

                  If the StartTime parameter specifies a time stamp that is greater than 3 hours ago, you must specify the period as follows or no data points in that time range is returned:

                  • Start time between 3 hours and 15 days ago - Use a multiple of 60 seconds (1 minute).

                  • Start time between 15 and 63 days ago - Use a multiple of 300 seconds (5 minutes).

                  • Start time greater than 63 days ago - Use a multiple of 3600 seconds (1 hour).

                • Stat (string) –

                  The statistic to return. It can include any CloudWatch statistic or extended statistic.

                • Unit (string) –

                  When you are using a Put operation, this defines what unit you want to use when storing the metric.

                  In a Get operation, if you omit Unit then all data that was collected with any unit is returned, along with the corresponding units that were specified when the data was reported to CloudWatch. If you specify a unit, the operation returns only data that was collected with that unit specified. If you specify a unit that does not match the data collected, the results of the operation are null. CloudWatch does not perform unit conversions.

              • Expression (string) –

                This field can contain either a Metrics Insights query, or a metric math expression to be performed on the returned data. For more information about Metrics Insights queries, see Metrics Insights query components and syntax in the Amazon CloudWatch User Guide.

                A math expression can use the Id of the other metrics or queries to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. For more information about metric math expressions, see Metric Math Syntax and Functions in the Amazon CloudWatch User Guide.

                Within each MetricDataQuery object, you must specify either Expression or MetricStat but not both.

              • Label (string) –

                A human-readable label for this metric or expression. This is especially useful if this is an expression, so that you know what the value represents. If the metric or expression is shown in a CloudWatch dashboard widget, the label is shown. If Label is omitted, CloudWatch generates a default.

                You can put dynamic expressions into a label, so that it is more descriptive. For more information, see Using Dynamic Labels.

              • ReturnData (boolean) –

                When used in GetMetricData, this option indicates whether to return the timestamps and raw data values of this metric. If you are performing this call just to do math expressions and do not also need the raw data returned, you can specify false. If you omit this, the default of true is used.

                When used in PutMetricAlarm, specify true for the one expression result to use as the alarm. For all other metrics and expressions in the same PutMetricAlarm operation, specify ReturnData as False.

              • Period (integer) –

                The granularity, in seconds, of the returned data points. For metrics with regular resolution, a period can be as short as one minute (60 seconds) and must be a multiple of 60. For high-resolution metrics that are collected at intervals of less than one minute, the period can be 1, 5, 10, 30, 60, or any multiple of 60. High-resolution metrics are those metrics stored by a PutMetricData operation that includes a StorageResolution of 1 second.

              • AccountId (string) –

                The ID of the account where the metrics are located.

                If you are performing a GetMetricData operation in a monitoring account, use this to specify which account to retrieve this metric from.

                If you are performing a PutMetricAlarm operation, use this to specify which account contains the metric that the alarm is watching.

    • NextToken (string) –

      A token that you can use in a subsequent operation to retrieve the next set of results.

Exceptions