func containerCountOverlays(entries []chug.LogEntry) []analyzers.LineOverlay {
lrps := Events{}
tasks := Events{}
for _, entry := range entries {
if entry.Message == "garden-linux.garden-server.bulk_info.got-bulkinfo" {
nTasks := 0.0
nLRPS := 0.0
handles := reflect.ValueOf(entry.Data["handles"])
for i := 0; i < handles.Len(); i += 1 {
handle := handles.Index(i).Interface().(string)
if len(handle) == 110 {
nLRPS += 1
}
if len(handle) == 69 {
nTasks += 1
}
}
lrps = append(lrps, Event{T: entry.Timestamp, V: nLRPS})
tasks = append(tasks, Event{T: entry.Timestamp, V: nTasks})
}
}
return []analyzers.LineOverlay{
{lrps, viz.LineStyle(viz.Blue, 2)},
{tasks, viz.LineStyle(viz.Red, 2)},
}
}
func GenerateEventDurationCommand() say.Command {
var minT, maxT float64
var skipList string
var blueEvent, redEvent string
var outFile string
var significantThreshold int
var fs = &flag.FlagSet{}
fs.Float64Var(&minT, "tmin", 0, "Min time")
fs.Float64Var(&maxT, "tmax", 0, "Max time")
fs.StringVar(&skipList, "skip", "", "Events to skip (comma delimited)")
fs.StringVar(&blueEvent, "blue", "", "Events to use to generate blue markers")
fs.StringVar(&redEvent, "red", "", "Events to use to generate red markers")
fs.IntVar(&significantThreshold, "n", 2, "Minimum number of events required to make it onto the plot")
fs.StringVar(&outFile, "o", "", "Output file")
return say.Command{
Name: "event-duration",
Description: "lager.log -- generate event duration plots",
FlagSet: fs,
Run: func(args []string) {
if len(args) != 1 {
say.Println(0, say.Red("please provide a lager file to read"))
os.Exit(1)
}
markedEvents := map[string]plot.LineStyle{}
if blueEvent != "" {
markedEvents[blueEvent] = viz.LineStyle(viz.Blue, 1, viz.Dot)
}
if redEvent != "" {
markedEvents[redEvent] = viz.LineStyle(viz.Red, 1, viz.Dot)
}
options := analyzers.SignificantEventsOptions{
MinX: minT,
MaxX: maxT,
MarkedEvents: markedEvents,
}
skips := strings.Split(skipList, ",")
if outFile == "" {
outFile = "out.png"
}
analyzeEventDurations(args[0], options, significantThreshold, skips, outFile)
},
}
}
func healthCheckTimeoutsFailedHealthMonitor(entries []chug.LogEntry) []analyzers.VerticalMarker {
markers := []analyzers.VerticalMarker{}
for _, entry := range entries {
if entry.Message == "rep.event-consumer.operation-stream.executing-container-operation.ordinary-lrp-processor.process-reserved-container.run-container.containerstore-create.starting" {
markers = append(markers, analyzers.VerticalMarker{T: entry.Timestamp, LineStyle: viz.LineStyle(viz.Blue, 1, viz.Dot)})
}
if entry.Message == "rep.event-consumer.operation-stream.executing-container-operation.ordinary-lrp-processor.process-reserved-container.run-container.containerstore-run.node-run.monitor-run.timeout-step.timed-out" {
markers = append(markers, analyzers.VerticalMarker{T: entry.Timestamp, LineStyle: viz.LineStyle(viz.Red, 2, viz.Dot)})
}
if entry.Message == "rep.event-consumer.operation-stream.executing-container-operation.ordinary-lrp-processor.process-reserved-container.run-container.containerstore-run.node-run.monitor-run.run-step.failed-creating-process" {
markers = append(markers, analyzers.VerticalMarker{T: entry.Timestamp, LineStyle: viz.LineStyle(viz.Red, 2, viz.Dash)})
}
}
return markers
}
func analyzeSlowPWSTasks() {
for _, run := range slowPWSTaskRuns {
say.Println(0, say.Green(run.Name))
data, err := ioutil.ReadFile(config.DataDir("pws-slow-tasks", run.Name+".unified"))
say.ExitIfError("couldn't read log file", err)
entries := util.ChugLagerEntries(data)
significantEvents := analyzers.ExtractSignificantEvents(entries)
allow := map[string]bool{
"rep.auction-fetch-state.handling": true,
"rep.container-metrics-reporter.tick.started": true,
"rep.depot-client.run-container.creating-container-in-garden": true,
"rep.depot-client.delete-container.destroy.started": true,
"rep.depot-client.run-container.run.action.download-step.fetch-starting": true,
"rep.depot-client.run-container.run.monitor-run.run-step.running": true,
"rep.depot-client.run-container.run.run-step-process.step-finished-with-error": true,
"rep.depot-client.run-container.run.setup.download-step.fetch-starting": true,
}
filteredSignificantEvents := analyzers.SignificantEvents{}
for name, events := range significantEvents {
if allow[name] {
filteredSignificantEvents[name] = events
}
}
filteredSignificantEvents.LogWithThreshold(0.2)
options := analyzers.SignificantEventsOptions{
LineOverlays: containerCountOverlays(entries),
}
if !run.CliffTimestamp.IsZero() {
options.MaxT = run.EndTimestamp.Add(time.Minute * 30)
options.VerticalMarkers = []analyzers.VerticalMarker{
{T: run.CliffTimestamp, LineStyle: viz.LineStyle(viz.Red, 1, viz.Dash)},
{T: run.EndTimestamp, LineStyle: viz.LineStyle(viz.Black, 1, viz.Dash)},
}
}
analyzers.VisualizeSignificantEvents(
filteredSignificantEvents,
config.DataDir("pws-slow-tasks", run.Name+".png"),
options,
)
}
}
func gardenStressTestFailedContainerCreates(entries []chug.LogEntry) []analyzers.VerticalMarker {
markers := []analyzers.VerticalMarker{}
for _, entry := range entries {
if entry.Message == "rep.depot-client.run-container.failed-creating-container-in-garden" {
markers = append(markers, analyzers.VerticalMarker{T: entry.Timestamp, LineStyle: viz.LineStyle(viz.Red, 1, viz.Dot)})
}
}
return markers
}
func pwsSlowEvacuationFailedProcessOverlays(entries []chug.LogEntry) []analyzers.VerticalMarker {
markers := []analyzers.VerticalMarker{}
for _, entry := range entries {
if entry.Message == "rep.depot-client.run-container.run.run-step-process.step-finished-with-error" {
markers = append(markers, analyzers.VerticalMarker{T: entry.Timestamp, LineStyle: viz.LineStyle(viz.Red, 1, viz.Dot)})
}
}
return markers
}
func analyzeGardenAUFSStressTests() {
runs := []string{"diego-2.cell-z1.0"} //, "diego-1.cell-z1.0"}
for _, run := range runs {
data, err := ioutil.ReadFile(config.DataDir("garden-aufs-test", run+".unified"))
say.ExitIfError("couldn't read log file", err)
entries := util.ChugLagerEntries(data)
significantEvents := analyzers.ExtractSignificantEvents(entries)
// significantEvents.LogWithThreshold(0.2)
allow := map[string]bool{
"garden-linux.loop-mounter.unmount.failed-to-unmount": true,
"garden-linux.garden-server.create.creating": true,
"rep.auction-fetch-state.handling": true,
"rep.container-metrics-reporter.tick.started": true,
"rep.depot-client.run-container.creating-container-in-garden": true,
"rep.depot-client.delete-container.destroy.started": true,
"rep.depot-client.run-container.run.action.download-step.fetch-starting": true,
"rep.depot-client.run-container.run.monitor-run.run-step.running": true,
"rep.depot-client.run-container.run.run-step-process.step-finished-with-error": true,
"rep.depot-client.run-container.run.setup.download-step.fetch-starting": true,
"rep.auction-delegate.auction-work.lrp-allocate-instances.requesting-container-allocation": true,
"rep.event-consumer.operation-stream.executing-container-operation.task-processor.fetching-container-result": true,
"rep.depot-client.run-container.run.action.run-step.running": true,
}
filteredSignificantEvents := analyzers.SignificantEvents{}
filteredSignificantEvents.LogWithThreshold(0.2)
for name, events := range significantEvents {
if allow[name] {
filteredSignificantEvents[name] = events
}
}
filteredSignificantEvents.LogWithThreshold(0.2)
limit := viz.NewHorizontalLine(256)
limit.LineStyle = viz.LineStyle(viz.Red, 1)
options := analyzers.SignificantEventsOptions{
LineOverlays: gardenStressTestContainerCountOverlays(entries),
VerticalMarkers: gardenStressTestFailedContainerCreates(entries),
OverlayPlots: []plot.Plotter{limit},
WidthStretch: 2,
MaxY: 400,
}
analyzers.VisualizeSignificantEvents(
filteredSignificantEvents,
config.DataDir("garden-aufs-test", run+".png"),
options,
)
}
}
func analyzeGardenDT() {
data, err := ioutil.ReadFile(config.DataDir("garden-dt", "garden-dt.logs"))
say.ExitIfError("couldn't read log file", err)
entries := util.ChugLagerEntries(data)
significantEvents := analyzers.ExtractSignificantEvents(entries)
significantEvents.LogWithThreshold(0.2)
delete(significantEvents, "garden-linux.container.info-starting")
options := analyzers.SignificantEventsOptions{
MarkedEvents: map[string]plot.LineStyle{
"garden-linux.garden-server.create.creating": viz.LineStyle(viz.Blue, 1, viz.Dot),
"garden-linux.garden-server.destroy.destroying": viz.LineStyle(viz.Red, 1, viz.Dot),
},
}
analyzers.VisualizeSignificantEvents(
significantEvents,
config.DataDir("garden-dt", "many-garden-dt.svg"),
options,
)
}
func analyzeGardenStressTests() {
data, err := ioutil.ReadFile(config.DataDir("garden-stress-test", "all.unified"))
say.ExitIfError("couldn't read log file", err)
entries := util.ChugLagerEntries(data)
significantEvents := analyzers.ExtractSignificantEvents(entries)
allow := map[string]bool{
"garden-linux.garden-server.create.creating": true,
"rep.depot-client.delete-container.destroy.started": true,
}
filteredSignificantEvents := analyzers.SignificantEvents{}
filteredSignificantEvents.LogWithThreshold(0.2)
for name, events := range significantEvents {
if allow[name] {
filteredSignificantEvents[name] = events
}
}
filteredSignificantEvents.LogWithThreshold(0.2)
limit := viz.NewHorizontalLine(256)
limit.LineStyle = viz.LineStyle(viz.Red, 1)
options := analyzers.SignificantEventsOptions{
LineOverlays: gardenStressTestContainerCountOverlays(entries),
VerticalMarkers: gardenStressTestFailedContainerCreates(entries),
OverlayPlots: []plot.Plotter{limit},
WidthStretch: 3,
MaxY: 400,
}
analyzers.VisualizeSignificantEvents(
filteredSignificantEvents,
config.DataDir("garden-stress-test", "out.png"),
options,
)
}
func VisualizeSignificantEvents(events SignificantEvents, filename string, options SignificantEventsOptions) {
firstTime := events.FirstTime()
tr := func(t time.Time) float64 {
return t.Sub(firstTime).Seconds()
}
minX := options.MinX
maxX := 0.0
maxY := 0.0
minY := math.MaxFloat64
histograms := map[string]plot.Plotter{}
scatters := map[string][]plot.Plotter{}
verticalLines := []plot.Plotter{}
colorCounter := 0
for _, name := range events.OrderedNames() {
xys := plotter.XYs{}
xErrs := plotter.XErrors{}
for _, event := range events[name] {
if event.V > 0 {
xys = append(xys, struct{ X, Y float64 }{tr(event.T), event.V})
xErrs = append(xErrs, struct{ Low, High float64 }{-event.V / 2, event.V / 2})
if tr(event.T) > maxX {
maxX = tr(event.T)
}
if event.V > maxY {
maxY = event.V
}
if event.V < minY {
minY = event.V
}
}
}
if len(xys) == 0 {
say.Println(0, "No data for %s", name)
continue
}
if options.MarkedEvents != nil {
ls, ok := options.MarkedEvents[name]
if ok {
for _, event := range events[name] {
l := viz.NewVerticalLine(tr(event.T))
l.LineStyle = ls
verticalLines = append(verticalLines, l)
}
}
}
s, err := plotter.NewScatter(xys)
say.ExitIfError("Couldn't create scatter plot", err)
s.GlyphStyle = plot.GlyphStyle{
Color: viz.OrderedColor(colorCounter),
Radius: 2,
Shape: plot.CircleGlyph{},
}
xErrsPlot, err := plotter.NewXErrorBars(struct {
plotter.XYer
plotter.XErrorer
}{xys, xErrs})
say.ExitIfError("Couldn't create x errors plot", err)
xErrsPlot.LineStyle = viz.LineStyle(viz.OrderedColor(colorCounter), 1)
scatters[name] = []plot.Plotter{s, xErrsPlot}
durations := events[name].Data()
h := viz.NewHistogram(durations, 20, durations.Min(), durations.Max())
h.LineStyle = viz.LineStyle(viz.OrderedColor(colorCounter), 1)
histograms[name] = h
colorCounter++
}
if options.MaxX != 0 {
maxX = options.MaxX
}
maxY = math.Pow(10, math.Ceil(math.Log10(maxY)))
minY = math.Pow(10, math.Floor(math.Log10(minY)))
b := &viz.Board{}
n := len(histograms) + 1
padding := 0.1 / float64(n-1)
height := (1.0 - padding*float64(n-1)) / float64(n)
histWidth := 0.3
scatterWidth := 0.7
y := 1 - height - padding - height
allScatterPlot, _ := plot.New()
allScatterPlot.Title.Text = "All Events"
allScatterPlot.X.Label.Text = "Time (s)"
allScatterPlot.Y.Label.Text = "Duration (s)"
allScatterPlot.Y.Scale = plot.LogScale
allScatterPlot.Y.Tick.Marker = plot.LogTicks
for _, name := range events.OrderedNames() {
histogram, ok := histograms[name]
if !ok {
continue
}
scatter := scatters[name]
allScatterPlot.Add(scatter[0])
allScatterPlot.Add(scatter[1])
histogramPlot, _ := plot.New()
histogramPlot.Title.Text = name
histogramPlot.X.Label.Text = "Duration (s)"
histogramPlot.Y.Label.Text = "N"
histogramPlot.Add(histogram)
scatterPlot, _ := plot.New()
scatterPlot.Title.Text = name
scatterPlot.X.Label.Text = "Time (s)"
scatterPlot.Y.Label.Text = "Duration (s)"
scatterPlot.Y.Scale = plot.LogScale
scatterPlot.Y.Tick.Marker = plot.LogTicks
scatterPlot.Add(scatter...)
scatterPlot.Add(verticalLines...)
scatterPlot.X.Min = minX
scatterPlot.X.Max = maxX
scatterPlot.Y.Min = 1e-5
scatterPlot.Y.Max = maxY
b.AddSubPlot(histogramPlot, viz.Rect{0, y, histWidth, height})
b.AddSubPlot(scatterPlot, viz.Rect{histWidth, y, scatterWidth, height})
y -= height + padding
}
allScatterPlot.Add(verticalLines...)
allScatterPlot.X.Min = minX
allScatterPlot.X.Max = maxX
allScatterPlot.Y.Min = 1e-5
allScatterPlot.Y.Max = maxY
fmt.Println("all", minX, maxX)
b.AddSubPlot(allScatterPlot, viz.Rect{histWidth, 1 - height, scatterWidth, height})
b.Save(16.0, 5*float64(n), filename)
}
func VisualizeSignificantEvents(events SignificantEvents, filename string, options SignificantEventsOptions) {
firstTime := events.FirstTime()
tr := func(t time.Time) float64 {
return t.Sub(firstTime).Seconds()
}
minX := 0.0
if options.MinX != 0 {
minX = options.MinX
}
if !options.MinT.IsZero() {
minX = tr(options.MinT)
}
maxX := 0.0
maxY := 0.0
minY := math.MaxFloat64
scatters := map[string][]plot.Plotter{}
verticalLines := []plot.Plotter{}
lineOverlays := []plot.Plotter{}
colorCounter := 0
for _, name := range events.OrderedNames() {
xys := plotter.XYs{}
xErrs := plotter.XErrors{}
for _, event := range events[name] {
if event.V > 0 {
xys = append(xys, struct{ X, Y float64 }{tr(event.T), event.V})
xErrs = append(xErrs, struct{ Low, High float64 }{-event.V / 2, event.V / 2})
if tr(event.T) > maxX {
maxX = tr(event.T)
}
if event.V > maxY {
maxY = event.V
}
if event.V < minY {
minY = event.V
}
}
}
if len(xys) == 0 {
say.Println(0, "No data for %s", name)
continue
}
if options.MarkedEvents != nil {
ls, ok := options.MarkedEvents[name]
if ok {
for _, event := range events[name] {
l := viz.NewVerticalLine(tr(event.T))
l.LineStyle = ls
verticalLines = append(verticalLines, l)
}
}
}
s, err := plotter.NewScatter(xys)
say.ExitIfError("Couldn't create scatter plot", err)
s.GlyphStyle = plot.GlyphStyle{
Color: viz.OrderedColor(colorCounter),
Radius: 2,
Shape: plot.CircleGlyph{},
}
xErrsPlot, err := plotter.NewXErrorBars(struct {
plotter.XYer
plotter.XErrorer
}{xys, xErrs})
say.ExitIfError("Couldn't create x errors plot", err)
xErrsPlot.LineStyle = viz.LineStyle(viz.OrderedColor(colorCounter), 1)
scatters[name] = []plot.Plotter{s, xErrsPlot}
colorCounter++
}
for _, marker := range options.VerticalMarkers {
l := viz.NewVerticalLine(tr(marker.T))
l.LineStyle = marker.LineStyle
verticalLines = append(verticalLines, l)
}
for _, lineOverlay := range options.LineOverlays {
xys := plotter.XYs{}
for _, event := range lineOverlay.Events {
if event.V > 0 {
xys = append(xys, struct{ X, Y float64 }{tr(event.T), event.V})
}
}
l, s, err := plotter.NewLinePoints(xys)
say.ExitIfError("Couldn't create scatter plot", err)
l.LineStyle = lineOverlay.LineStyle
s.GlyphStyle = plot.GlyphStyle{
Color: lineOverlay.LineStyle.Color,
Radius: lineOverlay.LineStyle.Width,
Shape: plot.CrossGlyph{},
}
lineOverlays = append(lineOverlays, l, s)
}
if options.MaxX != 0 {
maxX = options.MaxX
}
if !options.MaxT.IsZero() {
maxX = tr(options.MaxT)
}
maxY = math.Pow(10, math.Ceil(math.Log10(maxY)))
if options.MaxY != 0 {
maxY = options.MaxY
}
minY = math.Pow(10, math.Floor(math.Log10(minY)))
n := len(scatters) + 1
b := viz.NewUniformBoard(1, n, 0.01)
allScatterPlot, _ := plot.New()
allScatterPlot.Title.Text = "All Events"
allScatterPlot.X.Label.Text = "Time (s)"
allScatterPlot.Y.Label.Text = "Duration (s)"
allScatterPlot.Y.Scale = plot.LogScale
allScatterPlot.Y.Tick.Marker = plot.LogTicks
for i, name := range events.OrderedNames() {
scatter, ok := scatters[name]
if !ok {
continue
}
allScatterPlot.Add(scatter[0])
allScatterPlot.Add(scatter[1])
scatterPlot, _ := plot.New()
scatterPlot.Title.Text = name
scatterPlot.X.Label.Text = "Time (s)"
scatterPlot.Y.Label.Text = "Duration (s)"
scatterPlot.Y.Scale = plot.LogScale
scatterPlot.Y.Tick.Marker = plot.LogTicks
scatterPlot.Add(scatter...)
scatterPlot.Add(verticalLines...)
scatterPlot.Add(lineOverlays...)
scatterPlot.Add(options.OverlayPlots...)
scatterPlot.X.Min = minX
scatterPlot.X.Max = maxX
scatterPlot.Y.Min = 1e-5
scatterPlot.Y.Max = maxY
b.AddSubPlotAt(scatterPlot, 0, n-2-i)
}
allScatterPlot.Add(verticalLines...)
allScatterPlot.Add(lineOverlays...)
allScatterPlot.Add(options.OverlayPlots...)
allScatterPlot.X.Min = minX
allScatterPlot.X.Max = maxX
allScatterPlot.Y.Min = 1e-5
allScatterPlot.Y.Max = maxY
fmt.Println("all", minX, maxX)
b.AddSubPlotAt(allScatterPlot, 0, n-1)
width := 12.0
if options.WidthStretch > 0 {
width = width * options.WidthStretch
}
b.Save(width, 5*float64(n), filename)
}
func analyzeAuctioneerFetchStateDuration() {
data, err := ioutil.ReadFile(config.DataDir("auctioneer-fetch-state-duration", "auctioneer-fetch-state-duration.logs"))
say.ExitIfError("couldn't read log file", err)
entries := util.ChugLagerEntries(data)
fetchStateDurationEvents := ExtractEventsFromLagerData(entries, DurationExtractor("duration"))
allDurations := fetchStateDurationEvents.Data()
highDurations := allDurations.Filter(NumFilter(">", 0.2))
lowDurations := allDurations.Filter(NumFilter("<=", 0.2))
earlyAllDurations := fetchStateDurationEvents.FilterTimes(NumFilter("<", 1445274027070991039)).Data()
earlyHighDurations := earlyAllDurations.Filter(NumFilter(">", 0.2))
earlyLowDurations := earlyAllDurations.Filter(NumFilter("<=", 0.2))
lateAllDurations := fetchStateDurationEvents.FilterTimes(NumFilter(">=", 1445274027070991039)).Data()
lateHighDurations := lateAllDurations.Filter(NumFilter(">", 0.2))
lateLowDurations := lateAllDurations.Filter(NumFilter("<=", 0.2))
board := viz.NewUniformBoard(3, 1, 0)
earlyScale := float64(len(allDurations)) / float64(len(earlyAllDurations))
lateScale := float64(len(allDurations)) / float64(len(lateAllDurations))
say.Println(0, "All Fetches: %s", allDurations.Stats())
say.Println(1, "> 0.2s: %s", highDurations.Stats())
say.Println(1, "<= 0.2s: %s", lowDurations.Stats())
say.Println(0, "Early Fetches: %s", earlyAllDurations.Stats())
say.Println(1, "> 0.2s: %s", earlyHighDurations.Stats())
say.Println(1, "<= 0.2s: %s", earlyLowDurations.Stats())
say.Println(0, "Late Fetches: %s", lateAllDurations.Stats())
say.Println(1, "> 0.2s: %s", lateHighDurations.Stats())
say.Println(1, "<= 0.2s: %s", lateLowDurations.Stats())
p, _ := plot.New()
p.Title.Text = "All Auctioneer Fetch State Durations"
p.Add(viz.NewHistogram(allDurations, 20, allDurations.Min(), allDurations.Max()))
h := viz.NewScaledHistogram(earlyAllDurations, 20, allDurations.Min(), allDurations.Max(), earlyScale)
h.LineStyle = viz.LineStyle(viz.Blue, 1)
p.Add(h)
h = viz.NewScaledHistogram(lateAllDurations, 20, allDurations.Min(), allDurations.Max(), lateScale)
h.LineStyle = viz.LineStyle(viz.Red, 1)
p.Add(h)
board.AddNextSubPlot(p)
p, _ = plot.New()
p.Title.Text = "Auctioneer Fetch State Durations < 0.2s"
p.Add(viz.NewHistogram(lowDurations, 100, lowDurations.Min(), lowDurations.Max()))
h = viz.NewScaledHistogram(earlyLowDurations, 100, lowDurations.Min(), lowDurations.Max(), earlyScale)
h.LineStyle = viz.LineStyle(viz.Blue, 1)
p.Add(h)
h = viz.NewScaledHistogram(lateLowDurations, 100, lowDurations.Min(), lowDurations.Max(), lateScale)
h.LineStyle = viz.LineStyle(viz.Red, 1)
p.Add(h)
board.AddNextSubPlot(p)
p, _ = plot.New()
p.Title.Text = "Auctioneer Fetch State Durations > 0.2s"
p.Add(viz.NewHistogram(highDurations, 40, highDurations.Min(), highDurations.Max()))
h = viz.NewScaledHistogram(earlyHighDurations, 40, highDurations.Min(), highDurations.Max(), earlyScale)
h.LineStyle = viz.LineStyle(viz.Blue, 1)
p.Add(h)
h = viz.NewScaledHistogram(lateHighDurations, 40, highDurations.Min(), highDurations.Max(), lateScale)
h.LineStyle = viz.LineStyle(viz.Red, 1)
p.Add(h)
board.AddNextSubPlot(p)
board.Save(12, 4, config.DataDir("auctioneer-fetch-state-duration", "auctioneer-fetch-state-duration.svg"))
}
