pub struct RegressionDetection {
pub detection_id: Uuid,
pub metric_type: MetricType,
pub regression_type: RegressionType,
pub severity: RegressionSeverity,
pub degradation_percentage: f64,
pub p_value: Option<f64>,
pub affected_period: (SystemTime, SystemTime),
pub root_cause_analysis: RootCauseAnalysis,
pub recommendations: Vec<String>,
pub detected_at: SystemTime,
}Expand description
Regression detection result
Fields§
§detection_id: Uuid§metric_type: MetricType§regression_type: RegressionType§severity: RegressionSeverity§degradation_percentage: f64§p_value: Option<f64>Two-sided p-value of the test that produced this detection, or None
when the detection method ran no statistical test at all.
This replaces the pair confidence / statistical_significance, which
looked like two independent pieces of evidence and were not: the
window-dispersion branch published 1 - p under both names, while
the trend branch published p under statistical_significance and
1 - p under confidence – so the same field name carried opposite
quantities depending on which detector fired, and the change-point
branch filled both in with the invented constants 0.8 and 0.01.
One field, one unambiguous quantity, None when nothing measured it.
affected_period: (SystemTime, SystemTime)§root_cause_analysis: RootCauseAnalysis§recommendations: Vec<String>§detected_at: SystemTimeTrait Implementations§
Source§impl Clone for RegressionDetection
impl Clone for RegressionDetection
Source§fn clone(&self) -> RegressionDetection
fn clone(&self) -> RegressionDetection
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for RegressionDetection
impl Debug for RegressionDetection
Source§impl<'de> Deserialize<'de> for RegressionDetection
impl<'de> Deserialize<'de> for RegressionDetection
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for RegressionDetection
impl RefUnwindSafe for RegressionDetection
impl Send for RegressionDetection
impl Sync for RegressionDetection
impl Unpin for RegressionDetection
impl UnsafeUnpin for RegressionDetection
impl UnwindSafe for RegressionDetection
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