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89 lines
3.1 KiB
89 lines
3.1 KiB
package db
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import (
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"github.com/analogj/scrutiny/webapp/backend/pkg/metadata"
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"github.com/jinzhu/gorm"
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)
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const SmartAttributeStatusPassed = "passed"
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const SmartAttributeStatusFailed = "failed"
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const SmartAttributeStatusWarning = "warn"
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type SmartAtaAttribute struct {
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gorm.Model
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SmartId int `json:"smart_id"`
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Smart Device `json:"-" gorm:"foreignkey:SmartId"` // use SmartId as foreign key
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AttributeId int `json:"attribute_id"`
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Name string `json:"name"`
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Value int `json:"value"`
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Worst int `json:"worst"`
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Threshold int `json:"thresh"`
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RawValue int64 `json:"raw_value"`
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RawString string `json:"raw_string"`
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WhenFailed string `json:"when_failed"`
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TransformedValue int64 `json:"transformed_value"`
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Status string `gorm:"-" json:"status,omitempty"`
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StatusReason string `gorm:"-" json:"status_reason,omitempty"`
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FailureRate float64 `gorm:"-" json:"failure_rate,omitempty"`
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History []SmartAtaAttribute `gorm:"-" json:"history,omitempty"`
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}
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// compare the attribute (raw, normalized, transformed) value to observed thresholds, and update status if necessary
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func (sa *SmartAtaAttribute) MetadataObservedThresholdStatus(smartMetadata metadata.AtaAttributeMetadata) {
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//TODO: multiple rules
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// try to predict the failure rates for observed thresholds that have 0 failure rate and error bars.
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// - if the attribute is critical
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// - the failure rate is over 10 - set to failed
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// - the attribute does not match any threshold, set to warn
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// - if the attribute is not critical
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// - if failure rate is above 20 - set to failed
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// - if failure rate is above 10 but below 20 - set to warn
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//update the smart attribute status based on Observed thresholds.
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var value int64
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if smartMetadata.DisplayType == metadata.AtaSmartAttributeDisplayTypeNormalized {
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value = int64(sa.Value)
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} else if smartMetadata.DisplayType == metadata.AtaSmartAttributeDisplayTypeTransformed {
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value = sa.TransformedValue
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} else {
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value = sa.RawValue
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}
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for _, obsThresh := range smartMetadata.ObservedThresholds {
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//check if "value" is in this bucket
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if ((obsThresh.Low == obsThresh.High) && value == obsThresh.Low) ||
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(obsThresh.Low < value && value <= obsThresh.High) {
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sa.FailureRate = obsThresh.AnnualFailureRate
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if smartMetadata.Critical {
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if obsThresh.AnnualFailureRate >= 0.10 {
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sa.Status = SmartAttributeStatusFailed
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sa.StatusReason = "Observed Failure Rate for Critical Attribute is greater than 10%"
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}
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} else {
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if obsThresh.AnnualFailureRate >= 0.20 {
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sa.Status = SmartAttributeStatusFailed
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sa.StatusReason = "Observed Failure Rate for Attribute is greater than 20%"
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} else if obsThresh.AnnualFailureRate >= 0.10 {
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sa.Status = SmartAttributeStatusWarning
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sa.StatusReason = "Observed Failure Rate for Attribute is greater than 10%"
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}
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}
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//we've found the correct bucket, we can drop out of this loop
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return
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}
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}
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// no bucket found
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if smartMetadata.Critical {
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sa.Status = SmartAttributeStatusWarning
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sa.StatusReason = "Could not determine Observed Failure Rate for Critical Attribute"
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}
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return
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}
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