- One engine: go-analyze/charts (grafana theme) for all live metrics - Server chart: CPU temp, CPU load%, mem load%, power W, fan RPMs - GPU charts: temp, load%, mem%, power W — one card per GPU, added dynamically - Charts 1400x280px SVG, rendered at width:100% in single-column layout - Add CPU load (from /proc/stat) and mem load (from /proc/meminfo) to LiveMetricSample - Add GPU mem utilization to GPUMetricRow (nvidia-smi utilization.memory) - Document charting architecture in bible-local/architecture/charting.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
# Charting architecture
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## Decision: one chart engine for all live metrics
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**Engine:** `github.com/go-analyze/charts` (pure Go, no CGO, SVG output)
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**Theme:** `grafana` (dark background, coloured lines)
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All live metrics charts in the web UI are server-side SVG images served by Go
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and polled by the browser every 2 seconds via `<img src="...?t=now">`.
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There is no client-side canvas or JS chart library.
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### Why go-analyze/charts
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- Pure Go, no CGO — builds cleanly inside the live-build container
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- SVG output — crisp at any display resolution, full-width without pixelation
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- Grafana theme matches the dark web UI colour scheme
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- Active fork of the archived wcharczuk/go-chart
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### SAT stress-test charts
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The `drawGPUChartSVG` function in `platform/gpu_metrics.go` is a separate
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self-contained SVG renderer used **only** for completed SAT run reports
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(HTML export, burn-in summaries). It is not used for live metrics.
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### Live metrics chart endpoints
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| Path | Content |
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|------|---------|
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| `GET /api/metrics/chart/server.svg` | CPU temp, CPU load %, mem load %, power W, fan RPMs |
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| `GET /api/metrics/chart/gpu/{idx}.svg` | GPU temp °C, load %, mem %, power W |
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Charts are 1400 × 280 px SVG. The page renders them at `width: 100%` in a
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single-column layout so they always fill the viewport width.
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### Ring buffers
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Each metric is stored in a 120-sample ring buffer (2 minutes of history at 1 Hz).
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Buffers are per-server or per-GPU and grow dynamically as new GPUs appear.
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