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1349 lines (1226 loc) · 41.6 KB
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>dcd — Codebase Duplication Map</title>
<style>
@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=DM+Sans:wght@400;500;600;700&display=swap');
* { margin: 0; padding: 0; box-sizing: border-box; }
:root {
--bg: #0a0b0f;
--bg-surface: #12131a;
--bg-elevated: #1a1b24;
--border: #252633;
--border-hover: #3a3b4f;
--text: #e2e4ed;
--text-dim: #7a7d8e;
--text-muted: #4e5064;
--accent: #6ee7b7;
--accent-dim: #2d6b53;
--hot: #ef4444;
--warm: #f59e0b;
--cool: #3b82f6;
--mono: 'JetBrains Mono', monospace;
--sans: 'DM Sans', sans-serif;
--toolbar-height: 45px;
}
body {
background: var(--bg);
color: var(--text);
font-family: var(--sans);
height: 100vh;
overflow: hidden;
}
.app {
display: flex;
flex-direction: column;
height: 100vh;
}
/* Header */
.header {
padding: 20px 32px;
border-bottom: 1px solid var(--border);
display: flex;
align-items: center;
justify-content: space-between;
background: var(--bg-surface);
}
.header-left {
display: flex;
align-items: center;
gap: 16px;
}
.logo {
font-family: var(--mono);
font-size: 20px;
font-weight: 700;
color: var(--accent);
letter-spacing: -0.5px;
}
.logo span { color: var(--text-dim); font-weight: 400; }
.breadcrumb {
font-family: var(--mono);
font-size: 13px;
color: var(--text-dim);
}
.breadcrumb a {
color: var(--accent);
text-decoration: none;
cursor: pointer;
}
.breadcrumb a:hover { text-decoration: underline; }
.header-right {
display: flex;
align-items: center;
gap: 20px;
}
.stat-pill {
display: flex;
align-items: center;
gap: 8px;
padding: 6px 14px;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
font-family: var(--mono);
font-size: 12px;
color: var(--text-dim);
}
.stat-pill .val { color: var(--text); font-weight: 600; }
.stat-pill.hot .val { color: var(--hot); }
/* Main content */
.main {
flex: 1;
display: flex;
overflow: hidden;
}
/* Sidebar */
.sidebar {
width: 280px;
min-width: 280px;
border-right: 1px solid var(--border);
background: var(--bg-surface);
display: flex;
flex-direction: column;
overflow: hidden;
}
.sidebar-title {
padding: 0 20px;
height: var(--toolbar-height);
font-family: var(--mono);
font-size: 11px;
font-weight: 600;
text-transform: uppercase;
letter-spacing: 1.2px;
color: var(--text-muted);
border-bottom: 1px solid var(--border);
display: flex;
align-items: center;
}
.file-list {
flex: 1;
min-height: 0;
overflow-y: auto;
padding: 8px 0;
}
.file-list::-webkit-scrollbar { width: 4px; }
.file-list::-webkit-scrollbar-track { background: transparent; }
.file-list::-webkit-scrollbar-thumb { background: var(--border); border-radius: 2px; }
.file-item {
padding: 8px 20px;
display: flex;
align-items: center;
justify-content: space-between;
cursor: pointer;
transition: background 0.15s;
border-left: 3px solid transparent;
}
.file-item:hover { background: var(--bg-elevated); }
.file-item.selected {
background: var(--bg-elevated);
border-left-color: var(--accent);
}
.file-name {
font-family: var(--mono);
font-size: 12px;
color: var(--text);
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
max-width: 180px;
}
.file-dup-bar {
display: flex;
align-items: center;
gap: 6px;
}
.dup-bar-track {
width: 40px;
height: 4px;
background: var(--bg);
border-radius: 2px;
overflow: hidden;
}
.dup-bar-fill {
height: 100%;
border-radius: 2px;
transition: width 0.3s;
}
.dup-pct {
font-family: var(--mono);
font-size: 10px;
color: var(--text-dim);
min-width: 30px;
text-align: right;
}
/* Canvas area */
.canvas-area {
flex: 1;
display: flex;
flex-direction: column;
overflow: hidden;
}
.canvas-toolbar {
padding: 0 24px;
height: var(--toolbar-height);
border-bottom: 1px solid var(--border);
display: flex;
align-items: center;
justify-content: space-between;
background: var(--bg-surface);
}
.view-label {
font-size: 14px;
font-weight: 600;
color: var(--text);
}
.view-label span { color: var(--text-dim); font-weight: 400; margin-left: 8px; font-size: 12px; }
.toolbar-controls {
display: flex;
align-items: center;
gap: 12px;
}
.btn {
padding: 6px 14px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg);
color: var(--text-dim);
font-family: var(--mono);
font-size: 11px;
cursor: pointer;
transition: all 0.15s;
}
.btn:hover { border-color: var(--border-hover); color: var(--text); }
.btn.active { border-color: var(--accent-dim); color: var(--accent); background: rgba(110,231,183,0.05); }
.canvas-wrapper {
flex: 1;
min-height: 0;
position: relative;
overflow: auto;
background: var(--bg);
}
canvas#viz {
image-rendering: pixelated;
transform-origin: 0 0;
display: block;
}
/* Zoom controls */
.zoom-controls {
position: absolute;
bottom: 16px;
right: 16px;
display: flex;
gap: 4px;
z-index: 10;
}
.zoom-btn {
width: 32px;
height: 32px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg-elevated);
color: var(--text-dim);
font-family: var(--mono);
font-size: 16px;
cursor: pointer;
display: flex;
align-items: center;
justify-content: center;
transition: all 0.15s;
}
.zoom-btn:hover { border-color: var(--border-hover); color: var(--text); }
.zoom-level {
padding: 0 8px;
height: 32px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg-elevated);
color: var(--text-dim);
font-family: var(--mono);
font-size: 11px;
display: flex;
align-items: center;
}
/* Tooltip */
.tooltip {
position: fixed;
pointer-events: none;
background: var(--bg-elevated);
border: 1px solid var(--border);
border-radius: 8px;
padding: 10px 14px;
font-family: var(--mono);
font-size: 11px;
color: var(--text);
z-index: 100;
box-shadow: 0 8px 32px rgba(0,0,0,0.5);
display: none;
max-width: 320px;
}
.tooltip .tt-title {
font-weight: 600;
margin-bottom: 4px;
color: var(--accent);
}
.tooltip .tt-row {
display: flex;
justify-content: space-between;
gap: 16px;
color: var(--text-dim);
}
.tooltip .tt-val { color: var(--text); }
/* Legend */
.legend {
padding: 16px 24px;
border-top: 1px solid var(--border);
background: var(--bg-surface);
display: flex;
align-items: center;
gap: 24px;
font-family: var(--mono);
font-size: 11px;
color: var(--text-dim);
}
.legend-item {
display: flex;
align-items: center;
gap: 8px;
}
.legend-swatch {
width: 12px;
height: 12px;
border-radius: 2px;
}
.legend-gradient {
width: 80px;
height: 10px;
border-radius: 2px;
}
/* Scatter plot back button */
.back-btn {
padding: 6px 14px;
border: 1px solid var(--accent-dim);
border-radius: 6px;
background: rgba(110,231,183,0.05);
color: var(--accent);
font-family: var(--mono);
font-size: 11px;
cursor: pointer;
transition: all 0.15s;
display: none;
}
.back-btn:hover { background: rgba(110,231,183,0.1); }
/* Info panel for scatter view */
.scatter-info {
position: fixed;
top: auto;
bottom: 80px;
right: 16px;
background: var(--bg-elevated);
border: 1px solid var(--border);
border-radius: 8px;
padding: 14px 18px;
font-family: var(--mono);
font-size: 11px;
display: none;
min-width: 200px;
max-height: 20vh;
overflow-y: auto;
}
.scatter-info .si-title {
font-weight: 600;
color: var(--accent);
margin-bottom: 8px;
}
.scatter-info .si-row {
display: flex;
justify-content: space-between;
margin-bottom: 4px;
color: var(--text-dim);
}
.scatter-info .si-val { color: var(--text); }
.scatter-info .si-section-title {
font-weight: 600;
color: var(--text-muted);
margin-top: 10px;
margin-bottom: 4px;
font-size: 10px;
text-transform: uppercase;
letter-spacing: 0.5px;
}
.si-run-item {
padding: 4px 8px;
margin-bottom: 2px;
border-left: 2px solid var(--warm);
cursor: pointer;
font-size: 10px;
color: var(--text-dim);
border-radius: 0 4px 4px 0;
transition: background 0.1s;
}
.si-run-item:hover { background: var(--bg); color: var(--text); }
.si-run-item.active { border-left-color: var(--hot); background: var(--bg); color: var(--text); }
/* Help modal */
.help-btn {
padding: 6px 14px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg);
color: var(--text-dim);
font-family: var(--mono);
font-size: 12px;
cursor: pointer;
transition: all 0.15s;
}
.help-btn:hover { border-color: var(--border-hover); color: var(--text); }
.help-overlay {
position: fixed;
inset: 0;
background: rgba(0,0,0,0.7);
z-index: 200;
display: none;
align-items: center;
justify-content: center;
}
.help-overlay.visible { display: flex; }
.help-modal {
background: var(--bg-surface);
border: 1px solid var(--border);
border-radius: 12px;
padding: 32px;
max-width: 560px;
width: 90%;
max-height: 80vh;
overflow-y: auto;
color: var(--text);
font-size: 13px;
line-height: 1.7;
}
.help-modal h2 {
font-family: var(--mono);
font-size: 16px;
color: var(--accent);
margin-bottom: 16px;
}
.help-modal h3 {
font-family: var(--mono);
font-size: 13px;
color: var(--text);
margin: 16px 0 6px;
}
.help-modal p { color: var(--text-dim); margin-bottom: 10px; }
.help-modal kbd {
padding: 2px 6px;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 4px;
font-family: var(--mono);
font-size: 11px;
color: var(--text);
}
.help-modal .close-help {
margin-top: 20px;
padding: 8px 20px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg);
color: var(--text-dim);
font-family: var(--mono);
font-size: 12px;
cursor: pointer;
}
.help-modal .close-help:hover { border-color: var(--border-hover); color: var(--text); }
/* Responsive adjustments */
@media (max-width: 900px) {
.sidebar { display: none; }
}
</style>
</head>
<body>
<div class="app">
<div class="header">
<div class="header-left">
<div class="logo">dcd<span> codebase map</span></div>
<div class="breadcrumb" id="breadcrumb">heatmap view</div>
</div>
<div class="header-right">
<div class="stat-pill"><span>files</span><span class="val" id="stat-files">—</span></div>
<div class="stat-pill"><span>lines</span><span class="val" id="stat-lines">—</span></div>
<div class="stat-pill hot"><span>dup lines</span><span class="val" id="stat-dup">—</span></div>
<button class="help-btn" onclick="toggleHelp()">? help</button>
</div>
</div>
<div class="main">
<div class="sidebar">
<div class="sidebar-title">Files by duplication</div>
<div class="file-list" id="file-list"></div>
</div>
<div class="canvas-area">
<div class="canvas-toolbar">
<div class="view-label" id="view-label">File × File Heatmap<span>click a cell to drill down</span></div>
<div class="toolbar-controls">
<button class="back-btn" id="back-btn" onclick="goBack()">← back to heatmap</button>
<button class="btn active" id="btn-sort-name" onclick="sortBy('name')">sort: name</button>
<button class="btn" id="btn-sort-dup" onclick="sortBy('dup')">sort: duplication</button>
</div>
</div>
<div class="canvas-wrapper" id="canvas-wrapper">
<canvas id="viz"></canvas>
<div class="zoom-controls" id="zoom-controls">
<button class="zoom-btn" onclick="zoomFit()" title="Fit to view">⊡</button>
<button class="zoom-btn" onclick="zoomBy(-1)" title="Zoom out">−</button>
<span class="zoom-level" id="zoom-level">100%</span>
<button class="zoom-btn" onclick="zoomBy(1)" title="Zoom in">+</button>
</div>
<div class="scatter-info" id="scatter-info">
<div class="si-title" id="si-title"></div>
<div class="si-row"><span id="si-label-a">file A</span> lines<span class="si-val" id="si-lines-a"></span></div>
<div class="si-row"><span id="si-label-b">file B</span> lines<span class="si-val" id="si-lines-b"></span></div>
<div class="si-row">matching lines<span class="si-val" id="si-match"></span></div>
<div class="si-section-title" id="si-runs-title" style="display:none">Duplicate blocks</div>
<div id="si-runs"></div>
</div>
</div>
<div class="legend" id="legend">
<div class="legend-item">
<canvas class="legend-gradient" id="legend-gradient" width="80" height="10"></canvas>
<span>0% → 100% shared lines</span>
</div>
<div class="legend-item">
<div class="legend-swatch" style="background: var(--warm);"></div>
<span>diagonal = copied block</span>
</div>
<div class="legend-item">
<div class="legend-swatch" style="background: #3a3b4f;"></div>
<span>dot = single matching line</span>
</div>
</div>
</div>
</div>
</div>
<div class="tooltip" id="tooltip">
<div class="tt-title" id="tt-title"></div>
<div class="tt-row">duplication<span class="tt-val" id="tt-dup"></span></div>
<div class="tt-row">shared lines<span class="tt-val" id="tt-shared"></span></div>
</div>
<div class="help-overlay" id="help-overlay" onclick="if(event.target===this)toggleHelp()">
<div class="help-modal">
<h2>dcd — duplicate code detector</h2>
<p>This report shows code duplication across your codebase. It is generated
by <strong>dcd</strong>, a tool that identifies duplicate or near-duplicate
code blocks by comparing normalized line hashes across all files.</p>
<h3>Heatmap view</h3>
<p>The main grid is a file × file matrix. Each cell's color represents how
much code two files share — darker blue means little overlap, red means
heavy duplication. The diagonal is always dark (a file compared to itself
is excluded). Hover over any cell to see the file pair and duplication
percentage.</p>
<h3>Scatter plot view</h3>
<p>Click any heatmap cell to drill down into a Ducasse-style dot matrix for
that file pair. Each dot means the line at that row in file A matches the
line at that column in file B. Diagonal runs of dots indicate copied or
moved blocks of code. Scattered dots are common boilerplate (braces,
blank lines, imports).</p>
<h3>Sidebar</h3>
<p>Lists all files sorted by their highest duplication percentage against
any other file. Click a file to highlight it.</p>
<h3>Controls</h3>
<p><kbd>sort: name</kbd> / <kbd>sort: duplication</kbd> — reorder the
heatmap axes.<br>
<kbd>Ctrl</kbd>+<kbd>scroll</kbd> — zoom in/out on the heatmap.<br>
<kbd>+</kbd> <kbd>−</kbd> <kbd>⊡</kbd> — zoom controls (bottom-right).<br>
Scroll to pan when zoomed in.<br>
<kbd>← back to heatmap</kbd> — return from scatter view.</p>
<h3>Header stats</h3>
<p><strong>files</strong> — total files scanned.
<strong>lines</strong> — total source lines across all files.
<strong>dup lines</strong> — total duplicate lines detected.</p>
<h3>Further reading</h3>
<p>The detection algorithm is based on Ducasse et al.'s dot-matrix approach:<br>
<a href="https://ieeexplore.ieee.org/document/792593" target="_blank" rel="noopener">A Language Independent Approach for Detecting Duplicated Code (IEEE)</a><br>
<a href="https://scg.unibe.ch/archive/papers/Duca99bCodeDuplication.pdf" target="_blank" rel="noopener">A Language Independent Approach for Detecting Duplicated Code (PDF)</a></p>
<button class="close-help" onclick="toggleHelp()">close</button>
</div>
</div>
<script>
// ─── Data from dcd ─────────────────────────────────────────────────
window.DCD_DATA = /* __DCD_DATA__ */;
const DCD = window.DCD_DATA;
function buildMatrix(d) {
const n = d.files.length;
const m = Array.from({length: n}, () => new Float32Array(n));
for (let i = 0; i < n; i++) m[i][i] = 1.0;
if (d.pairs) {
d.pairs.forEach(p => {
m[p.a][p.b] = p.percent / 100;
m[p.b][p.a] = p.percent / 100;
});
}
return m;
}
const data = {
files: DCD.files.map(f => ({ ...f, name: f.path, dupPercent: Math.round(f.dupPercent) })),
dupMatrix: buildMatrix(DCD)
};
let sortedIndices = data.files.map((_, i) => i);
let currentSort = 'name';
let viewMode = 'heatmap';
let scatterPair = null;
let scatterRuns = [];
let scatterScale = 1;
let activeRun = null;
let highlightedFileId = null;
let savedScrollLeft = 0;
let savedScrollTop = 0;
const canvas = document.getElementById('viz');
const ctx = canvas.getContext('2d');
const tooltip = document.getElementById('tooltip');
const wrapper = document.getElementById('canvas-wrapper');
// ─── Stats ─────────────────────────────────────────────────────────
document.getElementById('stat-files').textContent = DCD.summary.totalFiles;
document.getElementById('stat-lines').textContent = DCD.summary.totalLines.toLocaleString();
document.getElementById('stat-dup').textContent = DCD.summary.totalDuplicateLines.toLocaleString();
// ─── Legend gradient ───────────────────────────────────────────────
const lgCanvas = document.getElementById('legend-gradient');
const lgCtx = lgCanvas.getContext('2d');
const lgGrad = lgCtx.createLinearGradient(0, 0, 80, 0);
lgGrad.addColorStop(0, '#12131a');
lgGrad.addColorStop(0.3, '#1e3a5f');
lgGrad.addColorStop(0.6, '#f59e0b');
lgGrad.addColorStop(1, '#ef4444');
lgCtx.fillStyle = lgGrad;
lgCtx.fillRect(0, 0, 80, 10);
// ─── Color helpers ─────────────────────────────────────────────────
function dupColor(value) {
if (value < 0.01) return '#12131a';
if (value < 0.05) return '#162035';
if (value < 0.1) return '#1e3a5f';
if (value < 0.2) return '#2563eb';
if (value < 0.35) return '#d97706';
if (value < 0.5) return '#f59e0b';
if (value < 0.7) return '#ef6a44';
return '#ef4444';
}
function barColor(pct) {
if (pct < 10) return '#3b82f6';
if (pct < 25) return '#f59e0b';
if (pct < 50) return '#ef6a44';
return '#ef4444';
}
// ─── File list ─────────────────────────────────────────────────────
function renderFileList() {
const el = document.getElementById('file-list');
const sorted = [...data.files].sort((a, b) => b.dupPercent - a.dupPercent);
el.innerHTML = sorted.map(f => `
<div class="file-item" data-id="${f.id}" onclick="highlightFile(${f.id})">
<div class="file-name" title="${f.name}">${f.name}</div>
<div class="file-dup-bar">
<div class="dup-bar-track">
<div class="dup-bar-fill" style="width:${f.dupPercent}%;background:${barColor(f.dupPercent)}"></div>
</div>
<div class="dup-pct">${f.dupPercent}%</div>
</div>
</div>
`).join('');
}
renderFileList();
function highlightFile(id) {
// Toggle: clicking the same file again deselects
highlightedFileId = (highlightedFileId === id) ? null : id;
document.querySelectorAll('.file-item').forEach(el => {
el.classList.toggle('selected', parseInt(el.dataset.id) === highlightedFileId);
});
if (viewMode === 'heatmap') renderHeatmap();
}
// ─── Heatmap rendering ────────────────────────────────────────────
// ─── Zoom state ────────────────────────────────────────────────────
let currentZoom = 1;
let baseCellSize = 4; // will be computed per render
function applyZoom(zoom) {
currentZoom = zoom;
canvas.style.transform = `scale(${zoom})`;
document.getElementById('zoom-level').textContent = Math.round(zoom * 100) + '%';
}
function zoomBy(dir) {
const steps = [0.25, 0.5, 0.75, 1, 1.5, 2, 3, 4, 6, 8];
let idx = steps.indexOf(currentZoom);
if (idx < 0) {
// find nearest
idx = steps.findIndex(s => s >= currentZoom);
if (idx < 0) idx = steps.length - 1;
}
idx += dir;
idx = Math.max(0, Math.min(steps.length - 1, idx));
applyZoom(steps[idx]);
}
function zoomFit() {
if (canvas.width === 0 || canvas.height === 0) return;
const fit = Math.min(wrapper.clientWidth / canvas.width, wrapper.clientHeight / canvas.height, 1);
applyZoom(fit);
}
wrapper.addEventListener('wheel', (e) => {
if (!e.ctrlKey && !e.metaKey) return;
e.preventDefault();
const rect = wrapper.getBoundingClientRect();
const mx = e.clientX - rect.left;
const my = e.clientY - rect.top;
const cx = (wrapper.scrollLeft + mx) / currentZoom;
const cy = (wrapper.scrollTop + my) / currentZoom;
zoomBy(e.deltaY < 0 ? 1 : -1);
wrapper.scrollLeft = cx * currentZoom - mx;
wrapper.scrollTop = cy * currentZoom - my;
}, { passive: false });
function renderHeatmap() {
viewMode = 'heatmap';
const n = data.files.length;
// Pick cell size: fit viewport if cells >= 4px, otherwise use 4px minimum
const fitSize = Math.floor(Math.min(wrapper.clientWidth, wrapper.clientHeight) / n);
baseCellSize = Math.max(fitSize, 4);
baseCellSize = Math.min(baseCellSize, 28);
const cellSize = baseCellSize;
const size = cellSize * n;
canvas.width = size;
canvas.height = size;
canvas.style.width = size + 'px';
canvas.style.height = size + 'px';
canvas.style.cursor = 'pointer';
const fit = Math.min(wrapper.clientWidth / size, wrapper.clientHeight / size, 1);
applyZoom(fit);
ctx.fillStyle = '#0a0b0f';
ctx.fillRect(0, 0, canvas.width, canvas.height);
const gap = cellSize > 3 ? 1 : 0;
for (let yi = 0; yi < n; yi++) {
for (let xi = 0; xi < n; xi++) {
const fi = sortedIndices[yi];
const fj = sortedIndices[xi];
const val = data.dupMatrix[fi][fj];
if (fi === fj) {
ctx.fillStyle = '#1a1b24';
} else {
ctx.fillStyle = dupColor(val);
}
ctx.fillRect(xi * cellSize, yi * cellSize, cellSize - gap, cellSize - gap);
}
}
// Highlight row + column for selected file
if (highlightedFileId !== null) {
const idx = sortedIndices.indexOf(highlightedFileId);
if (idx >= 0) {
// Dim everything not in the highlighted row/column
ctx.fillStyle = 'rgba(10, 11, 15, 0.6)';
ctx.fillRect(0, 0, size, size);
// Redraw the highlighted row and column cells brightly
for (let i = 0; i < n; i++) {
const fi = sortedIndices[idx];
const fj = sortedIndices[i];
if (fi === fj) continue;
const val = data.dupMatrix[fi][fj];
if (val < 0.01) continue;
// Row cell (file's row)
ctx.fillStyle = dupColor(val);
ctx.fillRect(i * cellSize, idx * cellSize, cellSize - gap, cellSize - gap);
// Column cell (file's column)
ctx.fillRect(idx * cellSize, i * cellSize, cellSize - gap, cellSize - gap);
}
// Draw accent border on the row and column
ctx.strokeStyle = 'rgba(110, 231, 183, 0.5)';
ctx.lineWidth = 1;
ctx.strokeRect(0, idx * cellSize - 0.5, size, cellSize + 1);
ctx.strokeRect(idx * cellSize - 0.5, 0, cellSize + 1, size);
}
}
document.getElementById('view-label').innerHTML = 'File × File Heatmap<span>click a cell to drill down · scroll to pan · ctrl+wheel to zoom</span>';
document.getElementById('back-btn').style.display = 'none';
document.getElementById('scatter-info').style.display = 'none';
document.getElementById('zoom-controls').style.display = 'flex';
document.getElementById('breadcrumb').textContent = 'heatmap view';
document.getElementById('btn-sort-name').style.display = '';
document.getElementById('btn-sort-dup').style.display = '';
}
// ─── Scatter plot rendering ────────────────────────────────────────
// Build a lookup from pair key "a,b" to pair data for quick access
const pairLookup = {};
if (DCD.pairs) {
DCD.pairs.forEach(p => {
pairLookup[p.a + ',' + p.b] = p;
pairLookup[p.b + ',' + p.a] = p;
});
}
function generateScatterData(fi, fj) {
const linesA = data.files[fi].lines;
const linesB = data.files[fj].lines;
const points = [];
let runs = [];
// Look up pair data for runs
const key1 = fi + ',' + fj;
const key2 = fj + ',' + fi;
const pair = pairLookup[key1] || pairLookup[key2];
if (pair && pair.matches) {
const swapped = (pair.a !== fi);
runs = pair.matches.map((m, idx) => ({
idx,
sourceStart: swapped ? m.targetStart : m.sourceStart,
sourceEnd: swapped ? m.targetEnd : m.sourceEnd,
targetStart: swapped ? m.sourceStart : m.targetStart,
targetEnd: swapped ? m.sourceEnd : m.targetEnd,
length: m.length,
gaps: m.gaps || 0,
holes: m.holes || 0,
}));
}
// Try to use hashes for exact dot-plot
if (DCD.hashes) {
const hashesA = DCD.hashes[String(fi)];
const hashesB = DCD.hashes[String(fj)];
if (hashesA && hashesB) {
// Build index of hash -> line positions in B
const bIndex = {};
for (let j = 0; j < hashesB.length; j++) {
const h = hashesB[j];
if (h === 0) continue; // skip empty/filtered lines
if (!bIndex[h]) bIndex[h] = [];
bIndex[h].push(j);
}
for (let i = 0; i < hashesA.length; i++) {
const h = hashesA[i];
if (h === 0) continue;
const matches = bIndex[h];
if (matches) {
for (let k = 0; k < matches.length; k++) {
points.push([i, matches[k]]);
}
}
}
return { linesA, linesB, points, matchCount: points.length, runs };
}
}
// Fallback: use match segments from pair data to draw diagonals
if (pair && pair.matches) {
const swapped = (pair.a !== fi);
pair.matches.forEach(m => {
const srcStart = swapped ? m.targetStart : m.sourceStart;
const tgtStart = swapped ? m.sourceStart : m.targetStart;
for (let k = 0; k < m.length; k++) {
points.push([srcStart + k, tgtStart + k]);
}
});
}
return { linesA, linesB, points, matchCount: points.length, runs };
}
function drawScatterCanvas(sd, scale, highlightRunIdx) {
const w = canvas.width;
const h = canvas.height;
const runs = sd.runs || [];
// Use ImageData for fast pixel-level rendering (critical for millions of points)
const imgData = ctx.createImageData(w, h);
const buf = imgData.data;
// Fill background: #0a0b0f
for (let i = 0; i < buf.length; i += 4) {
buf[i] = 10; buf[i+1] = 11; buf[i+2] = 15; buf[i+3] = 255;
}
// Draw grid lines into the buffer
function niceGridStep(maxLines) {
const steps = [10, 20, 50, 100, 200, 500, 1000, 2000, 5000];
for (const s of steps) {
if (maxLines / s <= 20) return s;
}
return Math.ceil(maxLines / 10 / 1000) * 1000;
}
const gridStep = niceGridStep(Math.max(sd.linesA, sd.linesB));
// Grid color: #151620
for (let i = gridStep; i < sd.linesA; i += gridStep) {
const x = i * scale;
for (let s = 0; s < scale; s++) {
const px = x + s;
if (px >= w) break;
for (let y = 0; y < h; y++) {
const off = (y * w + px) * 4;
buf[off] = 21; buf[off+1] = 22; buf[off+2] = 32;
}
}
}
for (let i = gridStep; i < sd.linesB; i += gridStep) {
const y = i * scale;
for (let s = 0; s < scale; s++) {
const py = y + s;
if (py >= h) break;
const rowOff = py * w * 4;
for (let x = 0; x < w; x++) {
const off = rowOff + x * 4;
buf[off] = 21; buf[off+1] = 22; buf[off+2] = 32;
}
}
}
// Build run membership lookup using a flat typed array keyed by
// (source * linesB + target). For very large pairs where this would
// exceed memory, fall back to tagging only diagonal cells from runs.
const totalCells = sd.linesA * sd.linesB;
const useFlat = totalCells <= 50000000; // ~50M cells = ~50MB Uint8Array
let runGrid = null; // 0=not in run, 1=in run, 2=in highlighted run
let runDiagSet = null; // fallback: Set of packed keys
if (useFlat) {
runGrid = new Uint8Array(totalCells);
for (const run of runs) {
const isHighlight = (highlightRunIdx !== undefined && run.idx === highlightRunIdx);
const val = isHighlight ? 2 : 1;
if (run.gaps > 0 || run.holes > 0) {
for (let si = run.sourceStart; si <= run.sourceEnd; si++) {
const base = si * sd.linesB;
for (let ti = run.targetStart; ti <= run.targetEnd; ti++) {
const cur = runGrid[base + ti];
if (val > cur) runGrid[base + ti] = val;
}
}
} else {
for (let k = 0; k < run.length; k++) {
const idx = (run.sourceStart + k) * sd.linesB + (run.targetStart + k);
const cur = runGrid[idx];
if (val > cur) runGrid[idx] = val;
}
}
}
} else {
// Fallback: only tag the diagonal/bounding-box cells via a Map
runDiagSet = new Map();
for (const run of runs) {
const isHighlight = (highlightRunIdx !== undefined && run.idx === highlightRunIdx);
const val = isHighlight ? 2 : 1;
if (run.gaps > 0 || run.holes > 0) {
for (let si = run.sourceStart; si <= run.sourceEnd; si++) {
for (let ti = run.targetStart; ti <= run.targetEnd; ti++) {
const key = si * 0x100000 + ti; // pack into single number (supports up to ~1M lines)
const cur = runDiagSet.get(key) || 0;
if (val > cur) runDiagSet.set(key, val);
}
}
} else {