feat(alerting): more work on notifications

pkg/services/alerting/transformers/aggregation.go

-package transformers
-
-import (
-	"fmt"
-	"math"
-
-	"github.com/grafana/grafana/pkg/tsdb"
-)
-
-func NewAggregationTransformer(method string) *AggregationTransformer {
-	return &AggregationTransformer{
-		Method: method,
-	}
-}
-
-type AggregationTransformer struct {
-	Method string
-}
-
-func (at *AggregationTransformer) Transform(timeserie *tsdb.TimeSeries) (float64, error) {
-
-	if at.Method == "avg" {
-		sum := float64(0)
-		for _, point := range timeserie.Points {
-			sum += point[0]
-		}
-
-		return sum / float64(len(timeserie.Points)), nil
-	}
-
-	if at.Method == "sum" {
-		sum := float64(0)
-
-		for _, v := range timeserie.Points {
-			sum += v[0]
-		}
-
-		return sum, nil
-	}
-
-	if at.Method == "min" {
-		min := timeserie.Points[0][0]
-
-		for _, v := range timeserie.Points {
-			if v[0] < min {
-				min = v[0]
-			}
-		}
-
-		return min, nil
-	}
-
-	if at.Method == "max" {
-		max := timeserie.Points[0][0]
-
-		for _, v := range timeserie.Points {
-			if v[0] > max {
-				max = v[0]
-			}
-		}
-
-		return max, nil
-	}
-
-	if at.Method == "mean" {
-		midPosition := int64(math.Floor(float64(len(timeserie.Points)) / float64(2)))
-		return timeserie.Points[midPosition][0], nil
-	}
-
-	return float64(0), fmt.Errorf("Missing method")
-}

pkg/services/alerting/transformers/transformer.go

-package transformers
-
-import "github.com/grafana/grafana/pkg/tsdb"
-
-type Transformer interface {
-	Transform(timeserie *tsdb.TimeSeries) (float64, error)
-}