Struct rusoto_iot::BehaviorCriteria

pub struct BehaviorCriteria {
    pub comparison_operator: Option<String>,
    pub consecutive_datapoints_to_alarm: Option<i64>,
    pub consecutive_datapoints_to_clear: Option<i64>,
    pub duration_seconds: Option<i64>,
    pub ml_detection_config: Option<MachineLearningDetectionConfig>,
    pub statistical_threshold: Option<StatisticalThreshold>,
    pub value: Option<MetricValue>,
}

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

Fields

comparison_operator: Option<String>

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

consecutive_datapoints_to_alarm: Option<i64>

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.

consecutive_datapoints_to_clear: Option<i64>

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.

duration_seconds: Option<i64>

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.

ml_detection_config: Option<MachineLearningDetectionConfig>

The configuration of an ML Detect

statistical_threshold: 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.

value: Option<MetricValue>

The value to be compared with the metric.

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 Default for BehaviorCriteria

fn default() -> BehaviorCriteria

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for BehaviorCriteria

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

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: &BehaviorCriteria) -> bool

This method tests for !=.

impl Serialize for BehaviorCriteria

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for BehaviorCriteria