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