Struct aws_sdk_iot::model::BehaviorCriteria

#[non_exhaustive]
pub struct BehaviorCriteria { /* private fields */ }

The criteria by which the behavior is determined to be normal.

Implementations

impl BehaviorCriteria

pub fn comparison_operator(&self) -> Option<&ComparisonOperator>

The operator that relates the thing measured (metric) to the criteria (containing a value or statisticalThreshold). Valid operators include:

• string-list: in-set and not-in-set

• number-list: in-set and not-in-set

• ip-address-list: in-cidr-set and not-in-cidr-set

• number: less-than, less-than-equals, greater-than, and greater-than-equals

pub fn value(&self) -> Option<&MetricValue>

The value to be compared with the metric.

pub fn duration_seconds(&self) -> Option<i32>

Use this to specify the time duration over which the behavior is evaluated, for those criteria that have a time dimension (for example, NUM_MESSAGES_SENT). For a statisticalThreshhold metric comparison, measurements from all devices are accumulated over this time duration before being used to calculate percentiles, and later, measurements from an individual device are also accumulated over this time duration before being given a percentile rank. Cannot be used with list-based metric datatypes.

pub fn consecutive_datapoints_to_alarm(&self) -> Option<i32>

If a device is in violation of the behavior for the specified number of consecutive datapoints, an alarm occurs. If not specified, the default is 1.

pub fn consecutive_datapoints_to_clear(&self) -> Option<i32>

If an alarm has occurred and the offending device is no longer in violation of the behavior for the specified number of consecutive datapoints, the alarm is cleared. If not specified, the default is 1.

pub fn statistical_threshold(&self) -> Option<&StatisticalThreshold>

A statistical ranking (percentile)that indicates a threshold value by which a behavior is determined to be in compliance or in violation of the behavior.

pub fn ml_detection_config(&self) -> Option<&MachineLearningDetectionConfig>

The configuration of an ML Detect

impl BehaviorCriteria

pub fn builder() -> Builder

Creates a new builder-style object to manufacture BehaviorCriteria.

Trait Implementations

impl Clone for BehaviorCriteria

fn clone(&self) -> BehaviorCriteria

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BehaviorCriteria

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<BehaviorCriteria> for BehaviorCriteria

fn eq(&self, other: &BehaviorCriteria) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for BehaviorCriteria