Scale/offset

pkg/timeseries/timeseries.go

@@ -74,78 +74,11 @@ func (ts TimeSeries) GroupBy(interval time.Duration, aggFunc AggFunc) TimeSeries
 	return groupedSeries
 }
 
-func AggAvg(points []TimePoint) *float64 {
-	sum := AggSum(points)
-	avg := *sum / float64(len(points))
-	return &avg
-}
-
-func AggSum(points []TimePoint) *float64 {
-	var sum float64 = 0
-	for _, p := range points {
-		if p.Value != nil {
-			sum += *p.Value
-		}
+func (ts TimeSeries) Transform(transformFunc TransformFunc) TimeSeries {
+	for i, p := range ts {
+		ts[i] = transformFunc(p)
 	}
-	return &sum
-}
-
-func AggMax(points []TimePoint) *float64 {
-	var max *float64 = nil
-	for _, p := range points {
-		if p.Value != nil {
-			if max == nil {
-				max = p.Value
-			} else if *p.Value > *max {
-				max = p.Value
-			}
-		}
-	}
-	return max
-}
-
-func AggMin(points []TimePoint) *float64 {
-	var min *float64 = nil
-	for _, p := range points {
-		if p.Value != nil {
-			if min == nil {
-				min = p.Value
-			} else if *p.Value < *min {
-				min = p.Value
-			}
-		}
-	}
-	return min
-}
-
-func AggCount(points []TimePoint) *float64 {
-	count := float64(len(points))
-	return &count
-}
-
-func AggFirst(points []TimePoint) *float64 {
-	return points[0].Value
-}
-
-func AggLast(points []TimePoint) *float64 {
-	return points[len(points)-1].Value
-}
-
-func AggMedian(points []TimePoint) *float64 {
-	values := make([]float64, 0)
-	for _, p := range points {
-		if p.Value != nil {
-			values = append(values, *p.Value)
-		}
-	}
-	if len(values) == 0 {
-		return nil
-	}
-
-	values = sort.Float64Slice(values)
-	medianIndex := int(math.Floor(float64(len(values)) / 2))
-	median := values[medianIndex]
-	return &median
+	return ts
 }
 
 // Aligns point's time stamps according to provided interval.