Scale/offset

pkg/timeseries/agg_functions.go

@@ -0,0 +1,80 @@
+package timeseries
+
+import (
+	"math"
+	"sort"
+)
+
+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
+		}
+	}
+	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
+}