feat(audit): OpenCV graph-balance metrics + flat high-contrast audit theme - #97
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Objective, OpenCV-driven layout measurements (metrics first; pass/fail later): - tests/helpers/balance_metrics.py — given a graph-canvas screenshot, isolates content (flat-bg colour-distance under the audit theme, edge-density fallback) and reports centroid offset from centre, bbox coverage, content usage, L/R+T/B margin balance, quadrant mass distribution, and an informational balanceScore, plus an annotated overlay (content bbox, centroid, frame centre). - tests/diagnostics/graph-balance.spec.ts (@balance) — measures the graph canvas at desktop/laptop/tablet, attaches the annotated overlay + metrics JSON. Phase 1 records numbers (no centering gate yet) so we get baselines before thresholds. Flat high-contrast "audit" theme (groundwork for real a11y theme selection): - main.tsx applies <html data-theme> from ?theme= / graphdone:theme before paint. - index.css [data-theme="contrast"] flattens the lagoon bg, grid, blur and glows to a solid #050608 render — a REAL browser render with layout unchanged, so OpenCV scans are clean and deterministic at every resolution. Baseline (localhost seed): well-centred (offMag ~0.05) — confirms the off-centre case is the small live guest graph at initial load (camera-centring fix next). The metric correctly surfaced that the minimap was skewing earlier readings. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What (phase 1 of the layout-balance work — metrics first, not pass/fail)
Objective, OpenCV-driven measurements of how the graph is placed on screen, so balance/layout issues become numbers we can track (and later gate on).
tests/helpers/balance_metrics.py— from a graph-canvas screenshot, isolates the rendered content and reports: centroid offset from centre, bbox coverage, content usage %, L/R + T/B margin balance, quadrant mass distribution, and an informational balanceScore — plus an annotated overlay (content bbox, centroid, frame centre). Detection auto-selects flat-bg colour-distance (under the audit theme) or edge-density (fallback).tests/diagnostics/graph-balance.spec.ts(@balance) — measures the canvas at desktop/laptop/tablet, attaches the annotated overlay + metrics JSON to the report. Phase 1 records numbers (no centering gate yet).Flat high-contrast "audit" theme —
main.tsxapplies<html data-theme>from?theme=/graphdone:theme;index.css [data-theme="contrast"]flattens the lagoon background, grid, blur and glows to a solid render. A real browser render with layout unchanged, so OpenCV scans are clean and deterministic — and genuine groundwork for a real high-contrast accessibility theme.Findings the metric already surfaced
Verification
@balance3/3 pass on local dev; web typecheck clean. Metrics-first (records numbers + annotated overlays; thresholds come once centering lands).🤖 Generated with Claude Code