mirror of
https://github.com/seaweedfs/seaweedfs.git
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Series were paired positionally, so a failed scrape, a missing metric, a counter reset or a histogram interval with no observations shifted a series and plotted unrelated samples at the same instant. Samples now carry their scrape time, charts lay every series out on a shared time axis, and gaps break the line rather than being drawn through.
277 lines
7.6 KiB
Go
277 lines
7.6 KiB
Go
package dash
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import (
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"fmt"
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"html"
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"sort"
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"strings"
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"time"
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)
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// Chart palette, matching the muted colors in static/css/admin.css.
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const (
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ChartPrimary = "#6b8caf"
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ChartSuccess = "#5a8a72"
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ChartInfo = "#6a9aaa"
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ChartWarning = "#b8995e"
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ChartDanger = "#a5615c"
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)
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// Y-axis value formats.
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const (
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UnitCount = ""
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UnitBytes = "bytes"
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UnitBytesPS = "bps"
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UnitSeconds = "seconds"
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UnitPercent = "pct"
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)
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// Point is one sample, keeping its scrape timestamp so series recorded at
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// different times are never paired by index.
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type Point struct {
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T time.Time
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V float64
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}
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type ChartSeries struct {
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Name string
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Color string
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Data []Point
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Area bool
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}
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type ChartOptions struct {
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Unit string
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// Threshold draws a dashed reference line, e.g. a disk-usage limit.
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Threshold *float64
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// Labels are x-axis tick labels, oldest first. Falls back to relative
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// sample offsets when empty.
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Labels []string
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}
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// RenderChart draws a multi-series line chart as a self-contained inline SVG,
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// with no JavaScript. Series are positioned on a shared time axis, so series
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// with gaps or differing sample times stay correctly aligned.
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func RenderChart(series []ChartSeries, opts ChartOptions) string {
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const w, h = 560.0, 190.0
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const padL, padR, padT, padB = 46.0, 8.0, 10.0, 22.0
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plotH := h - padT - padB
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times := unionTimes(series)
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if len(times) < 2 {
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return fmt.Sprintf(`<svg viewBox="0 0 %g %g" preserveAspectRatio="xMidYMid meet" style="width:100%%;height:auto"><line x1="%g" y1="%g" x2="%g" y2="%g" stroke="#e3e6f0" stroke-width="1"/><text x="%g" y="%g" text-anchor="middle" font-size="10" fill="#858796">collecting data…</text></svg>`,
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w, h, padL, padT+plotH/2, w-padR, padT+plotH/2, w/2, padT+plotH/2-8)
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}
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slot := make(map[time.Time]int, len(times))
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for i, t := range times {
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slot[t] = i
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}
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n := len(times)
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min, max := chartRange(series, opts.Threshold)
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span := max - min
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px := func(i int) float64 { return padL + float64(i)*(w-padL-padR)/float64(n-1) }
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py := func(v float64) float64 { return padT + plotH*(1-(v-min)/span) }
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var s strings.Builder
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for g := 0; g <= 4; g++ {
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v := min + span*float64(g)/4
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y := py(v)
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fmt.Fprintf(&s, `<line x1="%g" y1="%.1f" x2="%g" y2="%.1f" stroke="#e3e6f0" stroke-width="1"/>`, padL, y, w-padR, y)
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fmt.Fprintf(&s, `<text x="%g" y="%.1f" text-anchor="end" font-size="9" fill="#858796">%s</text>`, padL-6, y+3, html.EscapeString(FormatChartValue(v, opts.Unit)))
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}
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for _, i := range []int{0, n / 2, n - 1} {
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fmt.Fprintf(&s, `<text x="%.1f" y="%g" text-anchor="middle" font-size="9" fill="#858796">%s</text>`, px(i), h-6, html.EscapeString(xLabel(opts, times, i)))
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}
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if opts.Threshold != nil {
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fmt.Fprintf(&s, `<line x1="%g" y1="%.1f" x2="%g" y2="%.1f" stroke="%s" stroke-width="1" stroke-dasharray="4 3"/>`, padL, py(*opts.Threshold), w-padR, py(*opts.Threshold), ChartDanger)
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}
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for _, se := range series {
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color := se.Color
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if color == "" {
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color = ChartPrimary
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}
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// Break the path wherever the series has no sample, so gaps are not
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// drawn as straight lines through missing time.
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for _, run := range contiguousRuns(se.Data, slot) {
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var d strings.Builder
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for k, p := range run {
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x, y := px(slot[p.T]), py(p.V)
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if k == 0 {
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fmt.Fprintf(&d, "M%.1f %.1f", x, y)
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} else {
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fmt.Fprintf(&d, " L%.1f %.1f", x, y)
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}
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}
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if len(run) == 1 {
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fmt.Fprintf(&s, `<circle cx="%.1f" cy="%.1f" r="2" fill="%s"/>`, px(slot[run[0].T]), py(run[0].V), color)
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continue
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}
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if se.Area {
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base := py(min)
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fmt.Fprintf(&s, `<path d="%s L%.1f %.1f L%.1f %.1f Z" fill="%s" opacity="0.12"/>`,
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d.String(), px(slot[run[len(run)-1].T]), base, px(slot[run[0].T]), base, color)
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}
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fmt.Fprintf(&s, `<path d="%s" fill="none" stroke="%s" stroke-width="1.8" stroke-linejoin="round"/>`, d.String(), color)
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}
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}
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return fmt.Sprintf(`<svg viewBox="0 0 %g %g" preserveAspectRatio="xMidYMid meet" style="width:100%%;height:auto">%s</svg>`, w, h, s.String())
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}
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// unionTimes returns every timestamp present in any series, sorted.
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func unionTimes(series []ChartSeries) []time.Time {
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seen := map[time.Time]bool{}
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var out []time.Time
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for _, se := range series {
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for _, p := range se.Data {
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if !seen[p.T] {
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seen[p.T] = true
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out = append(out, p.T)
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}
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}
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}
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sort.Slice(out, func(i, j int) bool { return out[i].Before(out[j]) })
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return out
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}
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// contiguousRuns splits a series into runs of samples that occupy adjacent
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// slots on the shared time axis.
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func contiguousRuns(data []Point, slot map[time.Time]int) [][]Point {
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sorted := make([]Point, 0, len(data))
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for _, p := range data {
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if _, ok := slot[p.T]; ok {
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sorted = append(sorted, p)
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}
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}
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sort.Slice(sorted, func(i, j int) bool { return slot[sorted[i].T] < slot[sorted[j].T] })
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var runs [][]Point
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var cur []Point
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for i, p := range sorted {
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if i > 0 && slot[p.T] != slot[sorted[i-1].T]+1 {
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runs = append(runs, cur)
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cur = nil
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}
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cur = append(cur, p)
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}
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if len(cur) > 0 {
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runs = append(runs, cur)
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}
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return runs
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}
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// RenderLegend renders series names and colors as Bootstrap-friendly markup.
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func RenderLegend(series []ChartSeries) string {
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var b strings.Builder
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b.WriteString(`<div class="d-flex flex-wrap gap-3 mt-2">`)
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for _, se := range series {
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color := se.Color
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if color == "" {
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color = ChartPrimary
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}
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fmt.Fprintf(&b, `<span class="text-xs text-muted"><span style="display:inline-block;width:8px;height:8px;border-radius:2px;background:%s;margin-right:4px"></span>%s</span>`,
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html.EscapeString(color), html.EscapeString(se.Name))
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}
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b.WriteString(`</div>`)
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return b.String()
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}
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// chartRange picks the y-axis bounds. It anchors at zero so magnitudes stay
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// comparable, and never returns a zero span.
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func chartRange(series []ChartSeries, threshold *float64) (float64, float64) {
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min, max := 0.0, 0.0
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for _, se := range series {
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for _, p := range se.Data {
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if p.V < min {
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min = p.V
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}
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if p.V > max {
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max = p.V
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}
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}
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}
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if threshold != nil && *threshold > max {
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max = *threshold * 1.15
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}
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if max == min {
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max = min + 1
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}
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return min, max
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}
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func xLabel(opts ChartOptions, times []time.Time, i int) string {
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if i < len(opts.Labels) {
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return opts.Labels[i]
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}
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if i == len(times)-1 {
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return "now"
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}
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return times[i].Format("15:04")
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}
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// FormatChartValue renders an axis value in the given unit.
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func FormatChartValue(v float64, unit string) string {
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switch unit {
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case UnitBytes:
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return formatChartBytes(v)
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case UnitBytesPS:
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return formatChartBytes(v) + "/s"
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case UnitSeconds:
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// Latency quantiles are often sub-millisecond, so step down the unit
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// rather than rounding everything to "0 ms".
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switch {
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case v == 0:
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return "0"
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case v < 0.001:
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return fmt.Sprintf("%.0f µs", v*1e6)
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case v < 0.01:
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return fmt.Sprintf("%.2f ms", v*1000)
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case v < 1:
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return fmt.Sprintf("%.1f ms", v*1000)
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default:
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return fmt.Sprintf("%.2f s", v)
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}
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case UnitPercent:
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return fmt.Sprintf("%.0f%%", v)
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default:
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switch {
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case v >= 1e6:
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return fmt.Sprintf("%.1fM", v/1e6)
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case v >= 1000:
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return fmt.Sprintf("%.1fk", v/1000)
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case v == float64(int64(v)):
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return fmt.Sprintf("%d", int64(v))
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default:
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return fmt.Sprintf("%.2f", v)
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}
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}
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}
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func formatChartBytes(v float64) string {
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const unit = 1024.0
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if v < unit {
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return fmt.Sprintf("%.0f B", v)
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}
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div, exp := unit, 0
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for v/div >= unit && exp < 5 {
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div *= unit
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exp++
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}
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return fmt.Sprintf("%.1f %cB", v/div, "KMGTPE"[exp])
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}
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// LatestValue returns the newest sample's value, or 0 when there is no data.
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func LatestValue(data []Point) float64 {
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if len(data) == 0 {
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return 0
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}
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newest := data[0]
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for _, p := range data[1:] {
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if p.T.After(newest.T) {
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newest = p
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}
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}
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return newest.V
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}
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