feat(alerting): moved alerting models back to alerting package, models is more for storage dtos
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@@ -5,13 +5,15 @@ import (
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"math"
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"github.com/grafana/grafana/pkg/bus"
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"github.com/grafana/grafana/pkg/log"
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m "github.com/grafana/grafana/pkg/models"
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b "github.com/grafana/grafana/pkg/services/alerting/datasources"
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"github.com/grafana/grafana/pkg/services/alerting/alertstates"
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"github.com/grafana/grafana/pkg/tsdb"
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)
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type Executor interface {
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Execute(rule *m.AlertJob, responseQueue chan *m.AlertResult)
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Execute(rule *AlertJob, responseQueue chan *AlertResult)
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}
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var (
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@@ -22,7 +24,7 @@ var (
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type ExecutorImpl struct{}
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type compareFn func(float64, float64) bool
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type aggregationFn func(*m.TimeSeries) float64
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type aggregationFn func(*tsdb.TimeSeries) float64
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var operators = map[string]compareFn{
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">": func(num1, num2 float64) bool { return num1 > num2 },
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@@ -32,7 +34,7 @@ var operators = map[string]compareFn{
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"": func(num1, num2 float64) bool { return false },
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}
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var aggregator = map[string]aggregationFn{
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"avg": func(series *m.TimeSeries) float64 {
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"avg": func(series *tsdb.TimeSeries) float64 {
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sum := float64(0)
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for _, v := range series.Points {
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@@ -41,7 +43,7 @@ var aggregator = map[string]aggregationFn{
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return sum / float64(len(series.Points))
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},
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"sum": func(series *m.TimeSeries) float64 {
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"sum": func(series *tsdb.TimeSeries) float64 {
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sum := float64(0)
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for _, v := range series.Points {
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@@ -50,7 +52,7 @@ var aggregator = map[string]aggregationFn{
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return sum
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},
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"min": func(series *m.TimeSeries) float64 {
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"min": func(series *tsdb.TimeSeries) float64 {
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min := series.Points[0][0]
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for _, v := range series.Points {
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@@ -61,7 +63,7 @@ var aggregator = map[string]aggregationFn{
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return min
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},
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"max": func(series *m.TimeSeries) float64 {
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"max": func(series *tsdb.TimeSeries) float64 {
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max := series.Points[0][0]
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for _, v := range series.Points {
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@@ -72,17 +74,17 @@ var aggregator = map[string]aggregationFn{
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return max
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},
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"mean": func(series *m.TimeSeries) float64 {
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"mean": func(series *tsdb.TimeSeries) float64 {
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midPosition := int64(math.Floor(float64(len(series.Points)) / float64(2)))
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return series.Points[midPosition][0]
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},
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}
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func (executor *ExecutorImpl) Execute(job *m.AlertJob, responseQueue chan *m.AlertResult) {
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response, err := b.GetSeries(job)
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func (executor *ExecutorImpl) Execute(job *AlertJob, responseQueue chan *AlertResult) {
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response, err := executor.GetSeries(job)
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if err != nil {
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responseQueue <- &m.AlertResult{State: m.AlertStatePending, Id: job.Rule.Id, AlertJob: job}
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responseQueue <- &AlertResult{State: alertstates.Pending, Id: job.Rule.Id, AlertJob: job}
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}
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result := executor.validateRule(job.Rule, response)
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@@ -90,7 +92,26 @@ func (executor *ExecutorImpl) Execute(job *m.AlertJob, responseQueue chan *m.Ale
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responseQueue <- result
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}
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func (executor *ExecutorImpl) validateRule(rule m.AlertRule, series m.TimeSeriesSlice) *m.AlertResult {
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func (executor *ExecutorImpl) GetSeries(job *AlertJob) (tsdb.TimeSeriesSlice, error) {
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query := &m.GetDataSourceByIdQuery{
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Id: job.Rule.DatasourceId,
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OrgId: job.Rule.OrgId,
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}
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err := bus.Dispatch(query)
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if err != nil {
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return nil, fmt.Errorf("Could not find datasource for %d", job.Rule.DatasourceId)
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}
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// if query.Result.Type == m.DS_GRAPHITE {
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// return GraphiteClient{}.GetSeries(*job, query.Result)
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// }
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return nil, fmt.Errorf("Grafana does not support alerts for %s", query.Result.Type)
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}
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func (executor *ExecutorImpl) validateRule(rule AlertRule, series tsdb.TimeSeriesSlice) *AlertResult {
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for _, serie := range series {
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if aggregator[rule.Aggregator] == nil {
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continue
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@@ -102,8 +123,8 @@ func (executor *ExecutorImpl) validateRule(rule m.AlertRule, series m.TimeSeries
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log.Trace(resultLogFmt, "Crit", serie.Name, aggValue, rule.CritOperator, rule.CritLevel, critResult)
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if critResult {
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return &m.AlertResult{
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State: m.AlertStateCritical,
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return &AlertResult{
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State: alertstates.Critical,
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Id: rule.Id,
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ActualValue: aggValue,
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Description: fmt.Sprintf(descriptionFmt, aggValue, serie.Name),
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@@ -114,8 +135,8 @@ func (executor *ExecutorImpl) validateRule(rule m.AlertRule, series m.TimeSeries
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var warnResult = warnOperartor(aggValue, rule.CritLevel)
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log.Trace(resultLogFmt, "Warn", serie.Name, aggValue, rule.WarnOperator, rule.WarnLevel, warnResult)
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if warnResult {
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return &m.AlertResult{
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State: m.AlertStateWarn,
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return &AlertResult{
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State: alertstates.Warn,
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Id: rule.Id,
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Description: fmt.Sprintf(descriptionFmt, aggValue, serie.Name),
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ActualValue: aggValue,
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@@ -123,5 +144,5 @@ func (executor *ExecutorImpl) validateRule(rule m.AlertRule, series m.TimeSeries
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}
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}
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return &m.AlertResult{State: m.AlertStateOk, Id: rule.Id, Description: "Alert is OK!"}
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return &AlertResult{State: alertstates.Ok, Id: rule.Id, Description: "Alert is OK!"}
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}
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