Struct aws_sdk_iot::model::behavior_criteria::Builder

pub struct Builder { /* private fields */ }

A builder for BehaviorCriteria.

Implementations

impl Builder

pub fn comparison_operator(self, input: ComparisonOperator) -> Self

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 set_comparison_operator(self, input: Option<ComparisonOperator>) -> Self

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, input: MetricValue) -> Self

The value to be compared with the metric.

pub fn set_value(self, input: Option<MetricValue>) -> Self

The value to be compared with the metric.

pub fn duration_seconds(self, input: i32) -> Self

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 set_duration_seconds(self, input: Option<i32>) -> Self

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, input: i32) -> Self

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 set_consecutive_datapoints_to_alarm(self, input: Option<i32>) -> Self

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, input: i32) -> Self

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 set_consecutive_datapoints_to_clear(self, input: Option<i32>) -> Self

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, input: StatisticalThreshold) -> Self

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 set_statistical_threshold(
    self,
    input: Option<StatisticalThreshold>
) -> Self

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, input: MachineLearningDetectionConfig) -> Self

The configuration of an ML Detect

pub fn set_ml_detection_config(
    self,
    input: Option<MachineLearningDetectionConfig>
) -> Self

The configuration of an ML Detect

pub fn build(self) -> BehaviorCriteria

Consumes the builder and constructs a BehaviorCriteria.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

fn eq(&self, other: &Builder) -> 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 Builder