Redesign system power chart as stacked per-PSU area chart
- Add PSUReading struct and PSUs []PSUReading to LiveMetricSample - Sample per-PSU input watts from IPMI SDR entity 10.x (Power Supply) - Render stacked filled-area SVG chart (one layer per PSU, cumulative total) - Fall back to single-line chart on systems with ≤1 PSU in SDR Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -18,11 +18,19 @@ type LiveMetricSample struct {
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Fans []FanReading `json:"fans"`
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Temps []TempReading `json:"temps"`
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PowerW float64 `json:"power_w"`
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PSUs []PSUReading `json:"psus,omitempty"`
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CPULoadPct float64 `json:"cpu_load_pct"`
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MemLoadPct float64 `json:"mem_load_pct"`
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GPUs []GPUMetricRow `json:"gpus"`
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}
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// PSUReading is a per-slot power supply input power reading.
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type PSUReading struct {
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Slot int `json:"slot"`
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Name string `json:"name"`
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PowerW float64 `json:"power_w"`
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}
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// TempReading is a named temperature sensor value.
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type TempReading struct {
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Name string `json:"name"`
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@@ -57,6 +65,9 @@ func SampleLiveMetrics() LiveMetricSample {
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// System power — returns 0 if unavailable
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s.PowerW = sampleSystemPower()
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// Per-PSU power — populated when IPMI SDR has Power Supply entities with Watt readings
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s.PSUs = samplePSUPower()
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// CPU load — from /proc/stat
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s.CPULoadPct = sampleCPULoadPct()
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@@ -326,3 +337,65 @@ func compactAmbientTempName(chip, name string) string {
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}
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return chip + " / " + name
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}
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// samplePSUPower reads per-PSU input power via IPMI SDR.
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// It parses `ipmitool sdr elist full` output looking for Power Supply entity
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// sensors (entity ID "10.N") that report a value in Watts.
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// Returns nil when IPMI is unavailable or no PSU Watt sensors exist.
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func samplePSUPower() []PSUReading {
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out, err := exec.Command("ipmitool", "sdr", "elist", "full").Output()
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if err != nil || len(out) == 0 {
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return nil
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}
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// map slot → reading (keep highest-watt value per slot in case of duplicates)
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type entry struct {
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name string
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powerW float64
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}
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bySlot := map[int]entry{}
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for _, line := range strings.Split(string(out), "\n") {
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parts := strings.Split(line, "|")
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if len(parts) < 5 {
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continue
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}
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entityID := strings.TrimSpace(parts[3]) // e.g. "10.1"
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if !strings.HasPrefix(entityID, "10.") {
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continue // not a Power Supply entity
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}
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slotStr := strings.TrimPrefix(entityID, "10.")
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slot, err := strconv.Atoi(slotStr)
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if err != nil {
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continue
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}
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valueField := strings.TrimSpace(parts[4]) // e.g. "740.00 Watts"
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if !strings.Contains(strings.ToLower(valueField), "watts") {
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continue
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}
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valueFields := strings.Fields(valueField)
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if len(valueFields) < 2 {
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continue
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}
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w, err := strconv.ParseFloat(valueFields[0], 64)
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if err != nil || w <= 0 {
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continue
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}
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sensorName := strings.TrimSpace(parts[0])
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if existing, ok := bySlot[slot]; !ok || w > existing.powerW {
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bySlot[slot] = entry{name: sensorName, powerW: w}
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}
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}
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if len(bySlot) == 0 {
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return nil
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}
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slots := make([]int, 0, len(bySlot))
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for s := range bySlot {
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slots = append(slots, s)
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}
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sort.Ints(slots)
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psus := make([]PSUReading, 0, len(slots))
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for _, s := range slots {
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e := bySlot[s]
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psus = append(psus, PSUReading{Slot: s, Name: e.name, PowerW: e.powerW})
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}
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return psus
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}
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@@ -462,6 +462,127 @@ func synthesizeChartTimes(times []time.Time, count int) []time.Time {
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return out
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}
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// renderStackedMetricChartSVG renders a stacked area chart where each dataset
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// is visually "stacked" on top of the previous one. Intended for multi-PSU
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// power charts where the filled area of each PSU shows its individual
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// contribution and the total height equals the combined draw.
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func renderStackedMetricChartSVG(title string, labels []string, times []time.Time, datasets [][]float64, names []string, yMax *float64, canvasHeight int, timeline []chartTimelineSegment) ([]byte, error) {
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pointCount := len(labels)
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if len(times) > pointCount {
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pointCount = len(times)
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}
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if pointCount == 0 {
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pointCount = 1
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labels = []string{""}
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times = []time.Time{{}}
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}
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if len(labels) < pointCount {
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padded := make([]string, pointCount)
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copy(padded, labels)
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labels = padded
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}
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if len(times) < pointCount {
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times = synthesizeChartTimes(times, pointCount)
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}
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for i := range datasets {
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if len(datasets[i]) == 0 {
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datasets[i] = make([]float64, pointCount)
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}
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}
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times, datasets = downsampleTimeSeries(times, datasets, 1400)
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pointCount = len(times)
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// Build cumulative sums per time point.
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cumulative := make([][]float64, len(datasets)+1)
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for i := range cumulative {
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cumulative[i] = make([]float64, pointCount)
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}
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for i, ds := range datasets {
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for j, v := range ds {
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cumulative[i+1][j] = cumulative[i][j] + v
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}
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}
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// Scale is based on the total (top cumulative row).
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total := cumulative[len(cumulative)-1]
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yMin := floatPtr(0)
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if yMax == nil {
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yMax = autoMax120(total)
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}
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scale := singleAxisChartScale([][]float64{total}, yMin, yMax)
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legendItems := make([]metricChartSeries, len(datasets))
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for i, name := range names {
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color := metricChartPalette[i%len(metricChartPalette)]
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legendItems[i] = metricChartSeries{Name: name, Color: color, Values: datasets[i]}
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}
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// Stats label from totals.
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statsLabel := chartStatsLabel([][]float64{total})
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layout := singleAxisChartLayout(canvasHeight, len(legendItems))
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start, end := chartTimeBounds(times)
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var b strings.Builder
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writeSVGOpen(&b, layout.Width, layout.Height)
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writeChartFrame(&b, title, statsLabel, layout.Width, layout.Height)
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writeTimelineIdleSpans(&b, layout, start, end, timeline)
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writeVerticalGrid(&b, layout, times, pointCount, 8)
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writeHorizontalGrid(&b, layout, scale)
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writeTimelineBoundaries(&b, layout, start, end, timeline)
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writePlotBorder(&b, layout)
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writeSingleAxisY(&b, layout, scale)
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writeXAxisLabels(&b, layout, times, labels, start, end, 8)
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// Draw stacked areas from top to bottom so lower layers are visible.
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for i := len(datasets) - 1; i >= 0; i-- {
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writeStackedArea(&b, layout, times, start, end, cumulative[i], cumulative[i+1], scale, legendItems[i].Color)
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}
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// Draw border polylines on top.
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for i := len(datasets) - 1; i >= 0; i-- {
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writeSeriesPolyline(&b, layout, times, start, end, cumulative[i+1], scale, legendItems[i].Color)
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}
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writeLegend(&b, layout, legendItems)
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writeSVGClose(&b)
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return []byte(b.String()), nil
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}
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// writeStackedArea draws a filled polygon between two cumulative value arrays
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// (baseline and top), using the given color at 55% opacity.
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func writeStackedArea(b *strings.Builder, layout chartLayout, times []time.Time, start, end time.Time, baseline, top []float64, scale chartScale, color string) {
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n := len(top)
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if n == 0 {
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return
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}
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if len(baseline) < n {
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baseline = make([]float64, n)
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}
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// Forward path along top values, then backward along baseline values.
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var points strings.Builder
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for i := 0; i < n; i++ {
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x := chartXForTime(chartPointTime(times, i), start, end, layout.PlotLeft, layout.PlotRight)
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y := chartYForValue(valueClamp(top[i], scale), scale, layout.PlotTop, layout.PlotBottom)
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if i > 0 {
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points.WriteByte(' ')
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}
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points.WriteString(strconv.FormatFloat(x, 'f', 1, 64))
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points.WriteByte(',')
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points.WriteString(strconv.FormatFloat(y, 'f', 1, 64))
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}
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for i := n - 1; i >= 0; i-- {
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x := chartXForTime(chartPointTime(times, i), start, end, layout.PlotLeft, layout.PlotRight)
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y := chartYForValue(valueClamp(baseline[i], scale), scale, layout.PlotTop, layout.PlotBottom)
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points.WriteByte(' ')
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points.WriteString(strconv.FormatFloat(x, 'f', 1, 64))
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points.WriteByte(',')
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points.WriteString(strconv.FormatFloat(y, 'f', 1, 64))
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}
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fmt.Fprintf(b, `<polygon points="%s" fill="%s" fill-opacity="0.55" stroke="none"/>`+"\n", points.String(), color)
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}
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func writeSVGOpen(b *strings.Builder, width, height int) {
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fmt.Fprintf(b, `<svg xmlns="http://www.w3.org/2000/svg" width="%d" height="%d" viewBox="0 0 %d %d">`+"\n", width, height, width, height)
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}
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@@ -575,12 +575,14 @@ func (h *handler) handleMetricsChartSVG(w http.ResponseWriter, r *http.Request)
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}
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timeline := metricsTimelineSegments(samples, time.Now())
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if idx, sub, ok := parseGPUChartPath(path); ok && sub == "overview" {
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buf, ok, err := renderGPUOverviewChartSVG(idx, samples, timeline)
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var overviewOk bool
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var buf []byte
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buf, overviewOk, err = renderGPUOverviewChartSVG(idx, samples, timeline)
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if err != nil {
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http.Error(w, err.Error(), http.StatusInternalServerError)
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return
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}
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if !ok {
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if !overviewOk {
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http.Error(w, "metrics history unavailable", http.StatusServiceUnavailable)
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return
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}
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@@ -589,23 +591,37 @@ func (h *handler) handleMetricsChartSVG(w http.ResponseWriter, r *http.Request)
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_, _ = w.Write(buf)
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return
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}
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datasets, names, labels, title, yMin, yMax, ok := chartDataFromSamples(path, samples)
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datasets, names, labels, title, yMin, yMax, stacked, ok := chartDataFromSamples(path, samples)
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if !ok {
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http.Error(w, "metrics history unavailable", http.StatusServiceUnavailable)
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return
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}
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buf, err := renderMetricChartSVG(
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title,
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labels,
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sampleTimes(samples),
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datasets,
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names,
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yMin,
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yMax,
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chartCanvasHeightForPath(path, len(names)),
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timeline,
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)
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var buf []byte
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if stacked {
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buf, err = renderStackedMetricChartSVG(
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title,
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labels,
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sampleTimes(samples),
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datasets,
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names,
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yMax,
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chartCanvasHeightForPath(path, len(names)),
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timeline,
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)
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} else {
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buf, err = renderMetricChartSVG(
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title,
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labels,
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sampleTimes(samples),
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datasets,
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names,
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yMin,
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yMax,
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chartCanvasHeightForPath(path, len(names)),
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timeline,
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)
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}
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if err != nil {
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http.Error(w, err.Error(), http.StatusInternalServerError)
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return
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@@ -615,12 +631,8 @@ func (h *handler) handleMetricsChartSVG(w http.ResponseWriter, r *http.Request)
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_, _ = w.Write(buf)
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}
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func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][]float64, []string, []string, string, *float64, *float64, bool) {
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var datasets [][]float64
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var names []string
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var title string
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var yMin, yMax *float64
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labels := sampleTimeLabels(samples)
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func chartDataFromSamples(path string, samples []platform.LiveMetricSample) (datasets [][]float64, names []string, labels []string, title string, yMin, yMax *float64, stacked bool, ok bool) {
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labels = sampleTimeLabels(samples)
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switch {
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case path == "server-load":
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@@ -656,15 +668,41 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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case path == "server-power":
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title = "System Power"
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power := make([]float64, len(samples))
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for i, s := range samples {
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power[i] = s.PowerW
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// Use per-PSU stacked chart when PSU SDR data is available.
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// Collect the union of PSU slots seen across all samples.
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psuSlots := psuSlotsFromSamples(samples)
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if len(psuSlots) > 1 {
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// Build one dataset per PSU slot.
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psuDatasets := make([][]float64, len(psuSlots))
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psuNames := make([]string, len(psuSlots))
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for si, slot := range psuSlots {
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ds := make([]float64, len(samples))
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for i, s := range samples {
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for _, psu := range s.PSUs {
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if psu.Slot == slot {
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ds[i] = psu.PowerW
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break
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}
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}
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}
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psuDatasets[si] = normalizePowerSeries(ds)
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psuNames[si] = fmt.Sprintf("PSU %d", slot)
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}
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datasets = psuDatasets
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names = psuNames
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stacked = true
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yMax = autoMax120(psuStackedTotal(psuDatasets))
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} else {
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power := make([]float64, len(samples))
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for i, s := range samples {
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power[i] = s.PowerW
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}
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power = normalizePowerSeries(power)
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datasets = [][]float64{power}
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names = []string{"Power W"}
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yMin = floatPtr(0)
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yMax = autoMax120(power)
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}
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power = normalizePowerSeries(power)
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datasets = [][]float64{power}
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names = []string{"Power W"}
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yMin = floatPtr(0)
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yMax = autoMax120(power)
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case path == "server-fans":
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title = "Fan RPM"
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@@ -707,7 +745,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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case strings.HasPrefix(path, "gpu/"):
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idx, sub, ok := parseGPUChartPath(path)
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if !ok {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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switch sub {
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case "load":
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@@ -715,7 +753,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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util := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.UsagePct })
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mem := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.MemUsagePct })
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if util == nil && mem == nil {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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datasets = [][]float64{coalesceDataset(util, len(samples)), coalesceDataset(mem, len(samples))}
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names = []string{"Load %", "Mem %"}
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@@ -725,7 +763,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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title = gpuDisplayLabel(idx) + " Temperature"
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temp := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.TempC })
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if temp == nil {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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datasets = [][]float64{temp}
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names = []string{"Temp °C"}
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@@ -735,7 +773,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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title = gpuDisplayLabel(idx) + " Core Clock"
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clock := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.ClockMHz })
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if clock == nil {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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datasets = [][]float64{clock}
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names = []string{"Core Clock MHz"}
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@@ -744,7 +782,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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title = gpuDisplayLabel(idx) + " Memory Clock"
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clock := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.MemClockMHz })
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if clock == nil {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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datasets = [][]float64{clock}
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names = []string{"Memory Clock MHz"}
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@@ -753,7 +791,7 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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title = gpuDisplayLabel(idx) + " Power"
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power := gpuDatasetByIndex(samples, idx, func(g platform.GPUMetricRow) float64 { return g.PowerW })
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if power == nil {
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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datasets = [][]float64{power}
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names = []string{"Power W"}
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@@ -761,10 +799,10 @@ func chartDataFromSamples(path string, samples []platform.LiveMetricSample) ([][
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}
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default:
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return nil, nil, nil, "", nil, nil, false
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return nil, nil, nil, "", nil, nil, false, false
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}
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return datasets, names, labels, title, yMin, yMax, len(datasets) > 0
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return datasets, names, labels, title, yMin, yMax, stacked, len(datasets) > 0
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}
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func parseGPUChartPath(path string) (idx int, sub string, ok bool) {
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@@ -930,6 +968,37 @@ func normalizePowerSeries(ds []float64) []float64 {
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return out
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}
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// psuSlotsFromSamples returns the sorted list of PSU slot numbers seen across samples.
|
||||
func psuSlotsFromSamples(samples []platform.LiveMetricSample) []int {
|
||||
seen := map[int]struct{}{}
|
||||
for _, s := range samples {
|
||||
for _, p := range s.PSUs {
|
||||
seen[p.Slot] = struct{}{}
|
||||
}
|
||||
}
|
||||
slots := make([]int, 0, len(seen))
|
||||
for s := range seen {
|
||||
slots = append(slots, s)
|
||||
}
|
||||
sort.Ints(slots)
|
||||
return slots
|
||||
}
|
||||
|
||||
// psuStackedTotal returns the point-by-point sum of all PSU datasets (for scale calculation).
|
||||
func psuStackedTotal(datasets [][]float64) []float64 {
|
||||
if len(datasets) == 0 {
|
||||
return nil
|
||||
}
|
||||
n := len(datasets[0])
|
||||
total := make([]float64, n)
|
||||
for _, ds := range datasets {
|
||||
for i, v := range ds {
|
||||
total[i] += v
|
||||
}
|
||||
}
|
||||
return total
|
||||
}
|
||||
|
||||
func normalizeFanSeries(ds []float64) []float64 {
|
||||
if len(ds) == 0 {
|
||||
return nil
|
||||
|
||||
@@ -120,7 +120,7 @@ func TestChartDataFromSamplesUsesFullHistory(t *testing.T) {
|
||||
},
|
||||
}
|
||||
|
||||
datasets, names, labels, title, _, _, ok := chartDataFromSamples("gpu-all-power", samples)
|
||||
datasets, names, labels, title, _, _, _, ok := chartDataFromSamples("gpu-all-power", samples)
|
||||
if !ok {
|
||||
t.Fatal("chartDataFromSamples returned ok=false")
|
||||
}
|
||||
@@ -164,7 +164,7 @@ func TestChartDataFromSamplesKeepsStableGPUSeriesOrder(t *testing.T) {
|
||||
},
|
||||
}
|
||||
|
||||
datasets, names, _, title, _, _, ok := chartDataFromSamples("gpu-all-power", samples)
|
||||
datasets, names, _, title, _, _, _, ok := chartDataFromSamples("gpu-all-power", samples)
|
||||
if !ok {
|
||||
t.Fatal("chartDataFromSamples returned ok=false")
|
||||
}
|
||||
@@ -209,7 +209,7 @@ func TestChartDataFromSamplesIncludesGPUClockCharts(t *testing.T) {
|
||||
},
|
||||
}
|
||||
|
||||
datasets, names, _, title, _, _, ok := chartDataFromSamples("gpu-all-clock", samples)
|
||||
datasets, names, _, title, _, _, _, ok := chartDataFromSamples("gpu-all-clock", samples)
|
||||
if !ok {
|
||||
t.Fatal("gpu-all-clock returned ok=false")
|
||||
}
|
||||
|
||||
@@ -171,21 +171,17 @@ func renderTaskChartSVG(path string, samples []platform.LiveMetricSample, timeli
|
||||
}
|
||||
return gpuDisplayLabel(idx) + " Overview", buf, true
|
||||
}
|
||||
datasets, names, labels, title, yMin, yMax, ok := chartDataFromSamples(path, samples)
|
||||
datasets, names, labels, title, yMin, yMax, stacked, ok := chartDataFromSamples(path, samples)
|
||||
if !ok {
|
||||
return "", nil, false
|
||||
}
|
||||
buf, err := renderMetricChartSVG(
|
||||
title,
|
||||
labels,
|
||||
sampleTimes(samples),
|
||||
datasets,
|
||||
names,
|
||||
yMin,
|
||||
yMax,
|
||||
chartCanvasHeightForPath(path, len(names)),
|
||||
timeline,
|
||||
)
|
||||
var buf []byte
|
||||
var err error
|
||||
if stacked {
|
||||
buf, err = renderStackedMetricChartSVG(title, labels, sampleTimes(samples), datasets, names, yMax, chartCanvasHeightForPath(path, len(names)), timeline)
|
||||
} else {
|
||||
buf, err = renderMetricChartSVG(title, labels, sampleTimes(samples), datasets, names, yMin, yMax, chartCanvasHeightForPath(path, len(names)), timeline)
|
||||
}
|
||||
if err != nil {
|
||||
return "", nil, false
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user