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Signed-off-by: Ivan Valdes <ivan@vald.es>
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// Copyright 2025 The etcd Authors | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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package chart | ||
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import ( | ||
"cmp" | ||
"fmt" | ||
"image/color" | ||
"slices" | ||
"sort" | ||
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"gonum.org/v1/plot" | ||
"gonum.org/v1/plot/font" | ||
"gonum.org/v1/plot/plotter" | ||
"gonum.org/v1/plot/plotutil" | ||
"gonum.org/v1/plot/vg" | ||
"gonum.org/v1/plot/vg/draw" | ||
"gonum.org/v1/plot/vg/vgimg" | ||
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"go.etcd.io/etcd/tools/rw-heatmaps/v3/pkg/dataset" | ||
) | ||
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// PlotLineCharts creates a new line chart. | ||
func PlotLineCharts(datasets []*dataset.DataSet, title, outputImageFile, outputFormat string) error { | ||
plot.DefaultFont = font.Font{ | ||
Typeface: "Liberation", | ||
Variant: "Sans", | ||
} | ||
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var canvas *vgimg.Canvas | ||
canvas = plotLineChart(datasets, title) | ||
if err := saveCanvas(canvas, "readwrite", outputImageFile, outputFormat); err != nil { | ||
return err | ||
} | ||
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return nil | ||
} | ||
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func plotLineChart(datasets []*dataset.DataSet, title string) *vgimg.Canvas { | ||
ratiosLength := func() int { | ||
max := slices.MaxFunc(datasets, func(a, b *dataset.DataSet) int { | ||
return cmp.Compare(len(a.GetSortedRatios()), len(b.GetSortedRatios())) | ||
}) | ||
return len(max.GetSortedRatios()) | ||
}() | ||
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// Make a nx1 grid of line charts. | ||
const cols = 1 | ||
rows := ratiosLength | ||
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// Set the width and height of the canvas. | ||
width, height := 30*vg.Centimeter, 15*font.Length(ratiosLength)*vg.Centimeter | ||
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canvas := vgimg.New(width, height) | ||
dc := draw.New(canvas) | ||
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// Create a tiled layout for the plots. | ||
t := draw.Tiles{ | ||
Rows: rows, | ||
Cols: cols, | ||
PadX: vg.Millimeter * 4, | ||
PadY: vg.Millimeter * 4, | ||
PadTop: vg.Millimeter * 15, | ||
PadBottom: vg.Millimeter * 2, | ||
PadLeft: vg.Millimeter * 2, | ||
PadRight: vg.Millimeter * 2, | ||
} | ||
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plots := make([][]*plot.Plot, rows) | ||
legends := make([]plot.Legend, rows) | ||
for i := range plots { | ||
plots[i] = make([]*plot.Plot, cols) | ||
} | ||
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// Load records into the grid. | ||
ratios := slices.MaxFunc(datasets, func(a, b *dataset.DataSet) int { | ||
return cmp.Compare(len(a.GetSortedRatios()), len(b.GetSortedRatios())) | ||
}).GetSortedRatios() | ||
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for row, ratio := range ratios { | ||
var records [][]dataset.DataRecord | ||
var fileNames []string | ||
for _, d := range datasets { | ||
records = append(records, d.Records[ratio]) | ||
fileNames = append(fileNames, d.FileName) | ||
} | ||
p, l := plotIndividualLineChart(fmt.Sprintf("R/W Ratio %0.04f", ratio), records, fileNames) | ||
plots[row] = []*plot.Plot{p} | ||
legends[row] = l | ||
} | ||
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// Fill the canvas with the plots and legends. | ||
canvases := plot.Align(plots, t, dc) | ||
for i := 0; i < rows; i++ { | ||
// Continue if there is no plot in the current cell (incomplete data). | ||
if plots[i][0] == nil { | ||
continue | ||
} | ||
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l := legends[i] | ||
r := l.Rectangle(canvases[i][cols]) | ||
legendWidth := r.Max.X - r.Min.X | ||
// Adjust the legend down a little. | ||
l.YOffs = plots[i][0].Title.TextStyle.FontExtents().Height * 3 | ||
l.Draw(canvases[i][0]) | ||
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c := draw.Crop(canvases[i][cols], 0, -legendWidth-vg.Millimeter, 0, 0) | ||
plots[i][0].Draw(c) | ||
} | ||
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// Add the title and parameter legend. | ||
l := plot.NewLegend() | ||
l.Add(title) | ||
for _, d := range datasets { | ||
l.Add(fmt.Sprintf("%s: %s", d.FileName, d.Param)) | ||
} | ||
l.Top = true | ||
l.Left = true | ||
l.Draw(dc) | ||
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return canvas | ||
} | ||
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func plotIndividualLineChart(title string, records [][]dataset.DataRecord, fileNames []string) (*plot.Plot, plot.Legend) { | ||
p := plot.New() | ||
p.Title.Text = title | ||
p.X.Label.Text = "Connections Amount" | ||
p.X.Scale = plot.LogScale{} | ||
p.X.Tick.Marker = pow2Ticks{} | ||
p.Y.Label.Text = "QPS (Requests/sec)" | ||
p.Y.Scale = plot.LogScale{} | ||
p.Y.Tick.Marker = pow2Ticks{} | ||
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legend := plot.NewLegend() | ||
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values := getSortedValueSizes(records...) | ||
for i, rs := range records { | ||
rec := make(map[int64][]dataset.DataRecord) | ||
for _, r := range rs { | ||
rec[r.ValueSize] = append(rec[r.ValueSize], r) | ||
} | ||
if len(records) > 1 { | ||
addValues(p, &legend, values, rec, i, fileNames[i]) | ||
} else { | ||
addValues(p, &legend, values, rec, i, "") | ||
} | ||
} | ||
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return p, legend | ||
} | ||
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func getSortedValueSizes(records ...[]dataset.DataRecord) []int { | ||
valueMap := make(map[int64]struct{}) | ||
for _, rs := range records { | ||
for _, r := range rs { | ||
valueMap[r.ValueSize] = struct{}{} | ||
} | ||
} | ||
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var values []int | ||
for v := range valueMap { | ||
values = append(values, int(v)) | ||
} | ||
sort.Ints(values) | ||
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return values | ||
} | ||
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func addValues(p *plot.Plot, legend *plot.Legend, values []int, rec map[int64][]dataset.DataRecord, index int, fileName string) { | ||
for i, value := range values { | ||
r := rec[int64(value)] | ||
readPts := make(plotter.XYs, len(r)) | ||
writePts := make(plotter.XYs, len(r)) | ||
for i, record := range r { | ||
writePts[i].X = float64(record.ConnSize) | ||
readPts[i].X = writePts[i].X | ||
readPts[i].Y = record.AvgRead | ||
writePts[i].Y = record.AvgWrite | ||
} | ||
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readLine, s, err := plotter.NewLinePoints(readPts) | ||
if err != nil { | ||
panic(err) | ||
} | ||
if index == 0 { | ||
readLine.Color = plotutil.Color(0) | ||
} else { | ||
readLine.Color = plotutil.Color(2) | ||
} | ||
readLine.Width = vg.Length(vg.Millimeter * 0.15 * vg.Length(i+1)) | ||
readLine.Dashes = []vg.Length{vg.Points(6), vg.Points(2)} | ||
s.Color = readLine.Color | ||
p.Add(readLine, s) | ||
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writeLine, s, err := plotter.NewLinePoints(writePts) | ||
if err != nil { | ||
panic(err) | ||
} | ||
if index == 0 { | ||
writeLine.Color = plotutil.Color(0) | ||
} else { | ||
writeLine.Color = plotutil.Color(2) | ||
} | ||
writeLine.Width = vg.Length(vg.Millimeter * 0.15 * vg.Length(i+1)) | ||
s.Color = writeLine.Color | ||
p.Add(writeLine, s) | ||
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if index == 0 { | ||
l, _, _ := plotter.NewLinePoints(writePts) | ||
l.Color = color.RGBA{0, 0, 0, 255} | ||
l.Width = vg.Length(vg.Millimeter * 0.15 * vg.Length(i+1)) | ||
legend.Add(fmt.Sprintf("%d", value), plot.Thumbnailer(l)) | ||
} | ||
if i == len(values)-1 { | ||
legend.Add(fmt.Sprintf("read %s", fileName), plot.Thumbnailer(readLine)) | ||
legend.Add(fmt.Sprintf("write %s", fileName), plot.Thumbnailer(writeLine)) | ||
} | ||
} | ||
} |