offline track

This commit is contained in:
2026-06-22 11:00:36 +03:00
parent d4a1513a97
commit 6d1b5cf333
2 changed files with 206 additions and 43 deletions
+51 -4
View File
@@ -332,7 +332,7 @@
</div>
<div id="qualityVizPanel">
<div class="quality-viz-box">
<div class="quality-viz-title">RX Quality vs расстояние TX↔RX (распределение по отрезкам)</div>
<div class="quality-viz-title">RX Quality vs расстояние TX↔RX · колёсико — шаг шкалы</div>
<canvas id="qualityDistCanvas" width="800" height="140"></canvas>
</div>
</div>
@@ -1191,7 +1191,13 @@
const quality = rxQualityFromMeta(rxPos.meta);
if (quality == null) continue;
const distM = haversineM(txPos.lat, txPos.lon, rxPos.lat, rxPos.lon);
samples.push({ distM, quality });
samples.push({
distM,
quality,
stepIndex: i,
progress: cursor.progress,
t: cursor.t,
});
}
return samples;
}
@@ -1203,12 +1209,52 @@
timelineLinkRxPos.lat, timelineLinkRxPos.lon);
}
function currentQualityActiveSample() {
if (!qualitySamplesCache.length) return null;
const cursor = timelineCursor();
if (cursor.progress != null) {
let best = null;
let bestD = Infinity;
for (const s of qualitySamplesCache) {
if (s.progress == null) continue;
const d = Math.abs(s.progress - cursor.progress);
if (d < bestD) {
bestD = d;
best = s;
}
}
return best;
}
if (cursor.t != null) {
let best = null;
let bestD = Infinity;
for (const s of qualitySamplesCache) {
if (s.t == null) continue;
const d = Math.abs(s.t - cursor.t);
if (d < bestD) {
bestD = d;
best = s;
}
}
return best;
}
return null;
}
function qualityChartOptions() {
return {
highlightDist: currentTimelineLinkDist(),
activeSample: currentQualityActiveSample(),
meterStep: QualityViz.getMeterStep(),
};
}
function redrawQualityDistHighlight() {
if (!dualTracksActive) return;
const distCanvas = document.getElementById('qualityDistCanvas');
if (!distCanvas) return;
QualityViz.drawQualityDistChart(
distCanvas, qualitySamplesCache, qualityColor, currentTimelineLinkDist());
distCanvas, qualitySamplesCache, qualityColor, qualityChartOptions());
}
function rebuildQualityViz() {
@@ -1220,8 +1266,9 @@
}
qualitySamplesCache = buildQualitySamples();
const distCanvas = document.getElementById('qualityDistCanvas');
QualityViz.attachInteractions(distCanvas, () => redrawQualityDistHighlight());
QualityViz.drawQualityDistChart(
distCanvas, qualitySamplesCache, qualityColor, currentTimelineLinkDist());
distCanvas, qualitySamplesCache, qualityColor, qualityChartOptions());
panel?.classList.add('visible');
}
+155 -39
View File
@@ -2,12 +2,25 @@
(function (global) {
'use strict';
const METER_STEP = 10;
const METER_STEPS = [5, 10, 20, 25, 50, 100];
const QUALITY_BUCKET = 10;
const DEFAULT_METER_STEP = 10;
function niceMeterTicks(minD, maxD) {
let meterStep = DEFAULT_METER_STEP;
const attachedCanvases = new WeakSet();
function getMeterStep() {
return meterStep;
}
function setMeterStep(step) {
if (METER_STEPS.includes(step)) {
meterStep = step;
}
}
function niceMeterTicks(minD, maxD, step) {
const span = Math.max(maxD - minD, 1);
const step = METER_STEP;
const ticks = [];
const start = Math.ceil(minD / step) * step;
for (let d = start; d <= maxD + step * 0.01; d += step) {
@@ -53,8 +66,31 @@
return `rgba(${r}, ${g}, ${b}, ${alpha})`;
}
function drawMeterAxis(ctx, margin, plotW, plotH, h, minD, span) {
const ticks = niceMeterTicks(minD, minD + span);
function normalizeOptions(highlightDistOrOptions) {
if (highlightDistOrOptions != null && typeof highlightDistOrOptions === 'object') {
return highlightDistOrOptions;
}
return { highlightDist: highlightDistOrOptions };
}
function isActiveSample(sample, activeSample) {
if (!sample || !activeSample) return false;
if (activeSample.stepIndex != null && sample.stepIndex === activeSample.stepIndex) {
return true;
}
if (activeSample.progress != null && sample.progress != null
&& Math.abs(sample.progress - activeSample.progress) < 1e-6) {
return true;
}
if (activeSample.t != null && sample.t != null
&& Math.abs(sample.t - activeSample.t) < 0.05) {
return true;
}
return sample === activeSample;
}
function drawMeterAxis(ctx, margin, plotW, plotH, h, minD, span, step) {
const ticks = niceMeterTicks(minD, minD + span, step);
const minLabelGap = 28;
const maxLabels = Math.max(2, Math.floor(plotW / minLabelGap));
const labelEvery = ticks.length > maxLabels
@@ -91,22 +127,25 @@
return hist;
}
/** Semi-transparent horizontal distribution inside a column (quality 0% left → 100% right). */
/** Horizontal quality distribution inside a highlighted column (0% left → 100% right). */
function drawBinDistribution(ctx, x0, barW, plotTop, plotH, hist, maxInBin, qualityColor) {
const cellW = barW / (100 / QUALITY_BUCKET);
const distBandH = Math.round(plotH * 0.55);
const distBandH = Math.round(plotH * 0.72);
const distTop = plotTop + plotH - distBandH;
const buckets = Array.from(hist.keys()).sort((a, b) => a - b);
ctx.fillStyle = 'rgba(0, 0, 0, 0.55)';
ctx.fillRect(x0, plotTop, barW, plotH);
for (const bq of buckets) {
const n = hist.get(bq);
if (!n) continue;
const frac = n / maxInBin;
const cellX = x0 + (bq / 100) * barW;
const fillH = Math.max(1, frac * distBandH);
const fillH = Math.max(2, frac * distBandH);
const y = distTop + distBandH - fillH;
const base = qualityColor ? qualityColor(bq) : 'rgb(136,136,136)';
ctx.fillStyle = colorWithAlpha(base, 0.28 + 0.55 * frac);
ctx.fillStyle = colorWithAlpha(base, 0.55 + 0.4 * frac);
ctx.fillRect(cellX, y, Math.max(1, cellW + 0.5), fillH);
}
@@ -120,16 +159,68 @@
const x0p = x0 + (q0 / 100) * barW;
const x1p = x0 + (q1 / 100) * barW;
const midX = (x0p + x1p + cellW) / 2;
const midH = Math.max(h0, h1) * 0.6;
const midH = Math.max(h0, h1) * 0.65;
const midQ = (q0 + q1) / 2;
const base = qualityColor ? qualityColor(midQ) : 'rgb(136,136,136)';
ctx.fillStyle = colorWithAlpha(base, 0.15);
ctx.fillStyle = colorWithAlpha(base, 0.28);
ctx.fillRect(midX - cellW * 0.45, distTop + distBandH - midH, cellW * 0.9, midH);
}
ctx.fillStyle = '#aaa';
ctx.font = '8px system-ui';
ctx.fillText('0%', x0 + 1, distTop + distBandH + 10);
const lbl = '100%';
ctx.fillText(lbl, x0 + barW - ctx.measureText(lbl).width - 1, distTop + distBandH + 10);
}
function drawQualityDistChart(canvas, samples, qualityColor, highlightDist) {
function drawScatterPoints(
ctx, samples, margin, plotW, plotH, minD, span, plotTop, plotBottom,
activeSample, qualityColor
) {
samples.forEach(s => {
const x = margin.l + ((s.distM - minD) / span) * plotW;
const y = plotBottom - (s.quality / 100) * plotH;
const active = isActiveSample(s, activeSample);
if (active) {
const col = qualityColor ? qualityColor(s.quality) : '#ffffff';
ctx.strokeStyle = colorWithAlpha(col, 0.85);
ctx.lineWidth = 2;
ctx.setLineDash([4, 3]);
ctx.beginPath();
ctx.moveTo(x, plotTop);
ctx.lineTo(x, plotBottom);
ctx.stroke();
ctx.setLineDash([]);
ctx.fillStyle = '#ffffff';
ctx.strokeStyle = colorWithAlpha(col, 1);
ctx.lineWidth = 2;
ctx.beginPath();
ctx.arc(x, y, 5, 0, Math.PI * 2);
ctx.fill();
ctx.stroke();
ctx.fillStyle = colorWithAlpha(col, 0.35);
ctx.beginPath();
ctx.arc(x, y, 8, 0, Math.PI * 2);
ctx.fill();
} else {
ctx.fillStyle = 'rgba(255,255,255,0.32)';
ctx.beginPath();
ctx.arc(x, y, 2, 0, Math.PI * 2);
ctx.fill();
}
});
}
function drawQualityDistChart(canvas, samples, qualityColor, highlightDistOrOptions) {
if (!canvas) return;
const options = normalizeOptions(highlightDistOrOptions);
const highlightDist = options.highlightDist;
const activeSample = options.activeSample ?? null;
const step = options.meterStep ?? meterStep;
const ctx = canvas.getContext('2d');
const w = canvas.clientWidth || 280;
const h = canvas.clientHeight || 140;
@@ -149,18 +240,20 @@
const minD = Math.min(...dists);
const maxD = Math.max(...dists);
const span = Math.max(maxD - minD, 1);
const binCount = Math.max(1, Math.ceil(span / METER_STEP));
const binCount = Math.max(1, Math.ceil(span / step));
const binWDist = span / binCount;
const bins = Array.from({ length: binCount }, (_, i) => ({
min: minD + i * binWDist,
max: minD + (i + 1) * binWDist,
qualities: [],
samples: [],
}));
for (const s of samples) {
let idx = Math.floor((s.distM - minD) / binWDist);
if (idx >= binCount) idx = binCount - 1;
if (idx < 0) idx = 0;
bins[idx].qualities.push(s.quality);
bins[idx].samples.push(s);
}
const margin = { l: 36, r: 8, t: 16, b: 34 };
@@ -169,6 +262,7 @@
const barW = plotW / binCount;
const plotTop = margin.t;
const plotBottom = plotTop + plotH;
const hasHighlight = highlightDist != null;
ctx.strokeStyle = '#333';
ctx.beginPath();
@@ -182,17 +276,16 @@
ctx.fillText('0%', 2, plotBottom);
ctx.fillText('100%', 2, plotTop + 8);
drawMeterAxis(ctx, margin, plotW, plotH, h, minD, span);
drawMeterAxis(ctx, margin, plotW, plotH, h, minD, span, step);
const stepHint = `шаг ${step}м · колёсико`;
ctx.fillStyle = '#666';
ctx.font = '8px system-ui';
ctx.fillText('0%', margin.l, h - 14);
const lbl100 = '100%';
ctx.fillText(lbl100, margin.l + plotW - ctx.measureText(lbl100).width, h - 14);
ctx.fillText(stepHint, margin.l + plotW - ctx.measureText(stepHint).width, plotTop + 9);
bins.forEach((b, i) => {
const x0 = margin.l + i / binCount * plotW;
const highlight = highlightDist != null
const highlight = hasHighlight
&& highlightDist >= b.min && highlightDist < b.max;
const count = b.qualities.length;
@@ -207,44 +300,67 @@
const mainY = plotBottom - mainH;
const mainCol = qualityColor ? qualityColor(avg) : 'rgb(136,136,136)';
// Layer 1: solid main quality bar (Y = average quality at this distance)
if (hasHighlight && !highlight) {
ctx.globalAlpha = 0.32;
}
ctx.fillStyle = mainCol;
ctx.globalAlpha = highlight ? 1 : 0.88;
ctx.fillRect(x0, mainY, barW, mainH);
ctx.globalAlpha = 1;
// Subtle vertical gradient within main bar for depth
const grad = ctx.createLinearGradient(0, mainY, 0, plotBottom);
grad.addColorStop(0, colorWithAlpha(mainCol, 1));
grad.addColorStop(1, colorWithAlpha(mainCol, 0.55));
grad.addColorStop(1, colorWithAlpha(mainCol, 0.5));
ctx.fillStyle = grad;
ctx.globalAlpha = highlight ? 0.35 : 0.25;
ctx.globalAlpha = (hasHighlight && !highlight) ? 0.18 : 0.22;
ctx.fillRect(x0, mainY, barW, mainH);
ctx.globalAlpha = 1;
const hist = histogramInBin(b.qualities);
let maxInBin = 1;
hist.forEach(c => {
if (c > maxInBin) maxInBin = c;
});
// Layer 2: semi-transparent horizontal distribution inside the column
ctx.save();
ctx.beginPath();
ctx.rect(x0, plotTop, barW, plotH);
ctx.clip();
drawBinDistribution(ctx, x0, barW, plotTop, plotH, hist, maxInBin, qualityColor);
ctx.restore();
if (highlight) {
ctx.strokeStyle = 'rgba(255,255,255,0.9)';
const hist = histogramInBin(b.qualities);
let maxInBin = 1;
hist.forEach(c => {
if (c > maxInBin) maxInBin = c;
});
drawBinDistribution(ctx, x0, barW, plotTop, plotH, hist, maxInBin, qualityColor);
ctx.strokeStyle = 'rgba(255,255,255,0.92)';
ctx.lineWidth = 1.5;
ctx.strokeRect(x0 + 0.5, plotTop + 0.5, barW - 1, plotH - 1);
}
});
drawScatterPoints(
ctx, samples, margin, plotW, plotH, minD, span, plotTop, plotBottom,
activeSample, qualityColor
);
}
function attachInteractions(canvas, onChange) {
if (!canvas || attachedCanvases.has(canvas)) return;
attachedCanvases.add(canvas);
canvas.addEventListener('wheel', (e) => {
e.preventDefault();
let idx = METER_STEPS.indexOf(meterStep);
if (idx < 0) idx = METER_STEPS.indexOf(DEFAULT_METER_STEP);
if (e.deltaY < 0) {
idx = Math.max(0, idx - 1);
} else {
idx = Math.min(METER_STEPS.length - 1, idx + 1);
}
meterStep = METER_STEPS[idx];
onChange?.(meterStep);
}, { passive: false });
canvas.title = 'Колёсико мыши — изменить шаг шкалы (м)';
canvas.style.cursor = 'crosshair';
}
global.QualityViz = {
drawQualityDistChart,
attachInteractions,
getMeterStep,
setMeterStep,
METER_STEPS,
};
})(typeof window !== 'undefined' ? window : globalThis);