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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>openkb · knowledge graph</title>
<style>
:root{
--bg:#080b11;--ink:#eef2f7;--soft:#aeb8c7;--mut:#6f7c8f;
--line:rgba(255,255,255,.09);--glass:rgba(255,255,255,.04);
--mono:ui-monospace,"SF Mono","JetBrains Mono","Cascadia Code",Menlo,Consolas,monospace;
}
*{box-sizing:border-box}
html,body{
margin:0;height:100%;background:var(--bg);color:var(--ink);
font-family:-apple-system,BlinkMacSystemFont,"Segoe UI","PingFang SC","Microsoft YaHei",Roboto,sans-serif;
overflow:hidden;
}
/* ---- aurora atmosphere ---- */
.aurora{
position:fixed;inset:-10%;z-index:0;pointer-events:none;filter:blur(14px);
background:
radial-gradient(52vw 52vw at 15% 10%,rgba(56,189,248,.07),transparent 62%),
radial-gradient(46vw 46vw at 85% 24%,rgba(129,140,248,.06),transparent 62%),
radial-gradient(48vw 48vw at 72% 90%,rgba(45,212,191,.05),transparent 64%),
radial-gradient(44vw 44vw at 24% 82%,rgba(118,138,200,.045),transparent 62%);
animation:drift 26s ease-in-out infinite alternate;
}
@keyframes drift{
0%{transform:translate3d(0,0,0) scale(1)}
50%{transform:translate3d(2%,-1.5%,0) scale(1.05)}
100%{transform:translate3d(-1.5%,2%,0) scale(1.02)}
}
.grain{
position:fixed;inset:0;z-index:1;pointer-events:none;opacity:.045;
background-image:url("data:image/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27160%27%20height%3D%27160%27%3E%3Cfilter%20id%3D%27n%27%3E%3CfeTurbulence%20type%3D%27fractalNoise%27%20baseFrequency%3D%27.85%27%20numOctaves%3D%272%27%2F%3E%3C%2Ffilter%3E%3Crect%20width%3D%27100%25%27%20height%3D%27100%25%27%20filter%3D%27url%28%23n%29%27%2F%3E%3C%2Fsvg%3E");
}
.vignette{
position:fixed;inset:0;z-index:1;pointer-events:none;
background:radial-gradient(120vw 120vh at 50% 50%,transparent 55%,rgba(0,0,0,.55) 100%);
}
#c{position:fixed;inset:0;width:100%;height:100%;z-index:2;display:block;cursor:grab}
#c:active{cursor:grabbing}
/* ---- masthead ---- */
.brand{
position:fixed;left:16px;top:14px;z-index:4;pointer-events:none;
font:700 .92rem/1 var(--mono);letter-spacing:.14em;text-transform:uppercase;
color:var(--ink);text-shadow:0 0 18px rgba(56,189,248,.35);
}
.brand small{display:block;margin-top:5px;font:500 .62rem/1 var(--mono);letter-spacing:.18em;color:var(--mut)}
/* ---- legend ---- */
.legend{
position:fixed;left:16px;bottom:16px;z-index:4;
background:rgba(8,11,17,.6);backdrop-filter:blur(8px);-webkit-backdrop-filter:blur(8px);
border:1px solid var(--line);border-radius:12px;padding:11px 13px;
font:.72rem var(--mono);max-width:230px;
box-shadow:0 12px 40px rgba(0,0,0,.4);
}
.legend .lh{font:600 .6rem/1 var(--mono);letter-spacing:.16em;text-transform:uppercase;color:var(--mut);margin-bottom:8px}
.legend .li{
display:flex;align-items:center;gap:9px;padding:4px 6px;margin:0 -6px;border-radius:7px;
cursor:pointer;user-select:none;transition:opacity .2s ease,background .15s ease;
}
.legend .li:hover{background:var(--glass)}
.legend .li.off{opacity:.32}
.legend .li.off .d{box-shadow:none}
.legend .d{width:11px;height:11px;border-radius:50%;flex:none;transition:box-shadow .2s ease}
.legend .ct{margin-left:auto;color:var(--mut);font-size:.66rem}
/* ---- HUD (counts + search) ---- */
.hud{position:fixed;right:16px;top:14px;z-index:4;text-align:right;font:.72rem var(--mono);color:var(--soft)}
.hud .stat{display:inline-flex;gap:6px;align-items:baseline}
.hud .stat b{color:var(--ink);font-weight:700;font-size:.92rem}
.hud .stat .lab{color:var(--mut);font-size:.62rem;letter-spacing:.1em;text-transform:uppercase}
.hud .sep{color:var(--line);margin:0 8px}
.hud .search-wrap{position:relative;margin-top:10px;display:inline-block}
.hud input{
background:var(--glass);border:1px solid var(--line);color:var(--ink);
border-radius:9px;padding:7px 11px 7px 30px;width:200px;
font:.72rem var(--mono);outline:none;transition:border-color .2s ease,box-shadow .2s ease;
}
.hud input::placeholder{color:var(--mut)}
.hud input:focus{border-color:rgba(56,189,248,.5);box-shadow:0 0 0 3px rgba(56,189,248,.12)}
.hud .si{position:absolute;left:10px;top:50%;transform:translateY(-50%);color:var(--mut);font-size:.8rem;pointer-events:none}
/* ---- hint ---- */
.hint{
position:fixed;right:16px;bottom:16px;z-index:4;
font:.64rem/1.6 var(--mono);color:var(--mut);text-align:right;pointer-events:none;
}
.hint kbd{
display:inline-block;background:var(--glass);border:1px solid var(--line);border-radius:5px;
padding:1px 6px;color:var(--soft);font-size:.6rem;
}
/* ---- controls (spacing + reset) ---- */
.controls{
position:fixed;left:50%;bottom:16px;transform:translateX(-50%);z-index:4;
display:flex;align-items:center;gap:14px;
background:rgba(8,11,17,.6);backdrop-filter:blur(8px);-webkit-backdrop-filter:blur(8px);
border:1px solid var(--line);border-radius:12px;padding:8px 14px;
box-shadow:0 12px 40px rgba(0,0,0,.4);
}
.controls label{display:flex;align-items:center;gap:10px;letter-spacing:.14em;text-transform:uppercase;color:var(--mut);font:600 .58rem var(--mono)}
.controls input[type=range]{
-webkit-appearance:none;appearance:none;width:128px;height:3px;border-radius:3px;
background:rgba(255,255,255,.14);outline:none;cursor:ew-resize;
}
.controls input[type=range]::-webkit-slider-thumb{
-webkit-appearance:none;appearance:none;width:13px;height:13px;border-radius:50%;
background:#38bdf8;cursor:ew-resize;box-shadow:0 0 8px rgba(56,189,248,.7);
}
.controls input[type=range]::-moz-range-thumb{
width:13px;height:13px;border:none;border-radius:50%;background:#38bdf8;cursor:ew-resize;box-shadow:0 0 8px rgba(56,189,248,.7);
}
.controls .rst{
background:var(--glass);border:1px solid var(--line);color:var(--soft);
border-radius:8px;padding:5px 12px;font:600 .58rem var(--mono);letter-spacing:.12em;
text-transform:uppercase;cursor:pointer;transition:background .15s ease,color .15s ease;
}
.controls .rst:hover{background:rgba(255,255,255,.08);color:var(--ink)}
.controls .sepc{width:1px;height:18px;background:var(--line)}
.controls .tabs{display:flex;gap:2px;background:rgba(255,255,255,.05);border-radius:9px;padding:2px}
.controls .tabs button{
border:none;background:none;color:var(--soft);cursor:pointer;
border-radius:7px;padding:5px 11px;font:600 .58rem var(--mono);letter-spacing:.08em;text-transform:uppercase;
transition:background .15s ease,color .15s ease;
}
.controls .tabs button:hover{color:var(--ink)}
.controls .tabs button.on{background:rgba(56,189,248,.22);color:#bfe6ff}
/* ---- mind-map (horizontal tree) ---- */
.mindmap{position:fixed;left:0;top:58px;right:0;bottom:66px;z-index:3;overflow:auto}
.mindmap .mm-canvas{position:relative}
.mindmap .mm-links{position:absolute;left:0;top:0;pointer-events:none}
.mindmap .mm-node{
position:absolute;width:184px;height:22px;display:flex;align-items:center;gap:7px;
padding:0 10px;border:1px solid var(--line);border-radius:13px;background:var(--glass);
font:.72rem var(--mono);color:var(--ink);cursor:pointer;box-sizing:border-box;
box-shadow:0 1px 6px rgba(0,0,0,.3);transition:filter .12s ease,transform .12s ease;
}
.mindmap .mm-node:hover{filter:brightness(1.4);transform:scale(1.04)}
.mindmap .mm-root{
width:104px;height:30px;justify-content:center;font-weight:700;font-size:.8rem;letter-spacing:.04em;
color:#08111c;background:linear-gradient(180deg,#eaf4ff,#bfe2ff);border:none;border-radius:16px;
box-shadow:0 0 26px rgba(120,200,255,.75);animation:rootpulse 3.2s ease-in-out infinite;
}
@keyframes rootpulse{0%,100%{box-shadow:0 0 22px rgba(120,200,255,.6)}50%{box-shadow:0 0 34px rgba(120,200,255,.95)}}
.mindmap .mm-dot{width:8px;height:8px;border-radius:50%;flex:none}
.mindmap .mm-label{flex:1;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
.mindmap .mm-caret{
flex:none;min-width:15px;text-align:center;color:var(--soft);font-size:.64rem;
background:rgba(255,255,255,.09);border-radius:7px;padding:0 4px;
}
.mindmap .mm-caret:hover{background:rgba(255,255,255,.2);color:var(--ink)}
.mindmap::-webkit-scrollbar{width:9px;height:9px}
.mindmap::-webkit-scrollbar-thumb{background:rgba(255,255,255,.12);border-radius:8px}
/* ---- glass inspector panel ---- */
.panel{
position:fixed;top:0;right:0;z-index:6;width:360px;max-width:88vw;height:100%;
transform:translateX(102%);transition:transform .28s cubic-bezier(.2,.7,.2,1);
background:rgba(8,11,17,.86);backdrop-filter:blur(16px);-webkit-backdrop-filter:blur(16px);
border-left:1px solid var(--line);box-shadow:-30px 0 80px rgba(0,0,0,.55);
padding:24px 24px 40px;overflow:auto;
}
.panel.open{transform:none}
.panel .x{
position:absolute;right:18px;top:18px;width:30px;height:30px;border-radius:8px;
border:1px solid var(--line);background:var(--glass);color:var(--soft);
cursor:pointer;font:1rem/1 var(--mono);display:flex;align-items:center;justify-content:center;
transition:background .15s ease,color .15s ease;
}
.panel .x:hover{background:rgba(255,255,255,.08);color:var(--ink)}
.panel .chip{
display:inline-block;font:700 .66rem/1 var(--mono);letter-spacing:.08em;text-transform:uppercase;
padding:5px 11px;border-radius:20px;margin-bottom:14px;
}
.panel h2{margin:0 0 6px;font-size:1.32rem;font-weight:700;line-height:1.2;word-break:break-word}
.panel .id{font:.66rem var(--mono);color:var(--mut);margin-bottom:18px;word-break:break-all}
.panel .desc{color:var(--soft);font-size:.86rem;line-height:1.62;margin-bottom:6px}
.panel h4{
margin:22px 0 9px;font:600 .62rem/1 var(--mono);letter-spacing:.16em;text-transform:uppercase;
color:var(--mut);display:flex;align-items:center;gap:8px;
}
.panel h4 .n{
margin-left:auto;background:var(--glass);border:1px solid var(--line);border-radius:20px;
padding:1px 8px;color:var(--soft);letter-spacing:.04em;
}
.panel .lk{
display:block;padding:7px 10px;margin:3px 0;border-radius:8px;
font:.74rem var(--mono);color:var(--ink);text-decoration:none;
background:var(--glass);border:1px solid var(--line);
white-space:nowrap;overflow:hidden;text-overflow:ellipsis;
transition:background .15s ease,border-color .15s ease,transform .12s ease;cursor:pointer;
}
.panel .lk:hover{background:rgba(255,255,255,.08);transform:translateX(2px)}
.panel .src{display:block;padding:5px 0;font:.74rem var(--mono);color:var(--soft);word-break:break-all}
.panel .empty{color:var(--mut);font:.74rem var(--mono);padding:4px 0}
.panel::-webkit-scrollbar{width:8px}
.panel::-webkit-scrollbar-thumb{background:rgba(255,255,255,.12);border-radius:8px}
</style>
</head>
<body>
<div class="aurora"></div>
<div class="grain"></div>
<div class="vignette"></div>
<canvas id="c"></canvas>
<div class="mindmap" id="mindmap"></div>
<div class="brand">openkb<small>knowledge graph</small></div>
<div class="hud">
<span class="stat"><b id="ncount">0</b><span class="lab">nodes</span></span>
<span class="sep">·</span>
<span class="stat"><b id="ecount">0</b><span class="lab">edges</span></span>
<div class="search-wrap"><span class="si">⌕</span><input id="search" placeholder="search a node…" autocomplete="off" spellcheck="false"></div>
</div>
<div class="legend" id="legend"></div>
<div class="hint" id="hint"></div>
<div class="controls">
<div class="tabs" id="modeTabs">
<button data-m="mindmap">mind-map</button><button data-m="radial">radial</button><button data-m="graph">3D</button>
</div>
<span class="sepc"></span>
<label id="spacingCtl">spacing <input id="spread" type="range" min="0.5" max="3.5" step="0.1" value="1.7"></label>
<button class="rst" id="reset" title="reset view, spacing & focus">reset</button>
</div>
<div class="panel" id="panel"></div>
<script>
/* ===================== data hook ===================== */
const GRAPH = {"nodes": [{"id": "summaries/attention-is-all-you-need", "label": "attention-is-all-you-need", "type": "Summary", "description": "Introduces the Transformer, a fully attention-based sequence model for translation.", "sources": ["sources/attention-is-all-you-need.md"], "out": 12, "in": 12}, {"id": "concepts/attention-mechanisms", "label": "attention-mechanisms", "type": "Concept", "description": "Methods that weight sequence elements to focus computation on relevant inputs.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 3, "in": 11}, {"id": "concepts/positional-encoding", "label": "positional-encoding", "type": "Concept", "description": "Position information added to attention-only models so they can use order.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 3, "in": 6}, {"id": "concepts/transformer-models", "label": "transformer-models", "type": "Concept", "description": "Attention-only sequence models built around stacked self-attention.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 5, "in": 12}, {"id": "entities/google-brain", "label": "google-brain", "type": "Organization", "description": "Google Brain is a Google research team involved in the Transformer paper.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 5, "in": 8}, {"id": "entities/google-research", "label": "google-research", "type": "Organization", "description": "Google Research is the research division of Google involved in the Transformer paper.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 10, "in": 8}, {"id": "entities/google", "label": "google", "type": "Organization", "description": "Google is the company behind the Transformer paper's research team.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 9, "in": 6}, {"id": "entities/nips-2017", "label": "nips-2017", "type": "Event", "description": "The 31st Conference on Neural Information Processing Systems in 2017.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 10, "in": 5}, {"id": "entities/tensor2tensor", "label": "tensor2tensor", "type": "Product", "description": "Open-source TensorFlow toolkit used to implement and evaluate the Transformer", "sources": ["summaries/attention-is-all-you-need.md"], "out": 9, "in": 8}, {"id": "entities/university-of-toronto", "label": "university-of-toronto", "type": "Organization", "description": "Canadian university affiliation of a Transformer paper author", "sources": ["summaries/attention-is-all-you-need.md"], "out": 7, "in": 1}, {"id": "entities/wmt-2014-english-french", "label": "wmt-2014-english-french", "type": "Event", "description": "The WMT 2014 English-French machine translation benchmark.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 8, "in": 7}, {"id": "entities/wmt-2014-english-german", "label": "wmt-2014-english-german", "type": "Event", "description": "The WMT 2014 English-German machine translation benchmark.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 5, "in": 7}, {"id": "entities/wmt-2014", "label": "wmt-2014", "type": "Event", "description": "2014 machine translation benchmark and data release.", "sources": ["summaries/attention-is-all-you-need.md"], "out": 10, "in": 5}], "edges": [{"source": "summaries/attention-is-all-you-need", "target": "concepts/transformer-models"}, {"source": "summaries/attention-is-all-you-need", "target": "concepts/attention-mechanisms"}, {"source": "summaries/attention-is-all-you-need", "target": "concepts/positional-encoding"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/wmt-2014"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/wmt-2014-english-german"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/wmt-2014-english-french"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/google"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/google-brain"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/google-research"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/university-of-toronto"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/nips-2017"}, {"source": "summaries/attention-is-all-you-need", "target": "entities/tensor2tensor"}, {"source": "concepts/attention-mechanisms", "target": "summaries/attention-is-all-you-need"}, {"source": "concepts/attention-mechanisms", "target": "concepts/transformer-models"}, {"source": "concepts/attention-mechanisms", "target": "concepts/positional-encoding"}, {"source": "concepts/positional-encoding", "target": "summaries/attention-is-all-you-need"}, {"source": "concepts/positional-encoding", "target": "concepts/attention-mechanisms"}, {"source": "concepts/positional-encoding", "target": "concepts/transformer-models"}, {"source": "concepts/transformer-models", "target": "summaries/attention-is-all-you-need"}, {"source": "concepts/transformer-models", "target": "concepts/attention-mechanisms"}, {"source": "concepts/transformer-models", "target": "concepts/positional-encoding"}, {"source": "concepts/transformer-models", "target": "entities/wmt-2014-english-german"}, {"source": "concepts/transformer-models", "target": "entities/wmt-2014-english-french"}, {"source": "entities/google-brain", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/google-brain", "target": "concepts/transformer-models"}, {"source": "entities/google-brain", "target": "entities/google-research"}, {"source": "entities/google-brain", "target": "concepts/attention-mechanisms"}, {"source": "entities/google-brain", "target": "concepts/positional-encoding"}, {"source": "entities/google-research", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/google-research", "target": "concepts/transformer-models"}, {"source": "entities/google-research", "target": "concepts/attention-mechanisms"}, {"source": "entities/google-research", "target": "entities/wmt-2014"}, {"source": "entities/google-research", "target": "entities/wmt-2014-english-german"}, {"source": "entities/google-research", "target": "entities/wmt-2014-english-french"}, {"source": "entities/google-research", "target": "entities/nips-2017"}, {"source": "entities/google-research", "target": "entities/tensor2tensor"}, {"source": "entities/google-research", "target": "entities/google"}, {"source": "entities/google-research", "target": "entities/google-brain"}, {"source": "entities/google", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/google", "target": "entities/google-brain"}, {"source": "entities/google", "target": "entities/google-research"}, {"source": "entities/google", "target": "entities/nips-2017"}, {"source": "entities/google", "target": "concepts/transformer-models"}, {"source": "entities/google", "target": "entities/wmt-2014-english-german"}, {"source": "entities/google", "target": "entities/wmt-2014-english-french"}, {"source": "entities/google", "target": "entities/tensor2tensor"}, {"source": "entities/google", "target": "concepts/positional-encoding"}, {"source": "entities/nips-2017", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/nips-2017", "target": "concepts/transformer-models"}, {"source": "entities/nips-2017", "target": "concepts/attention-mechanisms"}, {"source": "entities/nips-2017", "target": "entities/google"}, {"source": "entities/nips-2017", "target": "entities/google-brain"}, {"source": "entities/nips-2017", "target": "entities/google-research"}, {"source": "entities/nips-2017", "target": "entities/tensor2tensor"}, {"source": "entities/nips-2017", "target": "entities/wmt-2014"}, {"source": "entities/nips-2017", "target": "entities/wmt-2014-english-german"}, {"source": "entities/nips-2017", "target": "entities/wmt-2014-english-french"}, {"source": "entities/tensor2tensor", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/tensor2tensor", "target": "concepts/transformer-models"}, {"source": "entities/tensor2tensor", "target": "concepts/attention-mechanisms"}, {"source": "entities/tensor2tensor", "target": "concepts/positional-encoding"}, {"source": "entities/tensor2tensor", "target": "entities/google"}, {"source": "entities/tensor2tensor", "target": "entities/google-brain"}, {"source": "entities/tensor2tensor", "target": "entities/google-research"}, {"source": "entities/tensor2tensor", "target": "entities/wmt-2014-english-german"}, {"source": "entities/tensor2tensor", "target": "entities/wmt-2014-english-french"}, {"source": "entities/university-of-toronto", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/university-of-toronto", "target": "entities/nips-2017"}, {"source": "entities/university-of-toronto", "target": "concepts/transformer-models"}, {"source": "entities/university-of-toronto", "target": "concepts/attention-mechanisms"}, {"source": "entities/university-of-toronto", "target": "entities/google-brain"}, {"source": "entities/university-of-toronto", "target": "entities/google-research"}, {"source": "entities/university-of-toronto", "target": "entities/tensor2tensor"}, {"source": "entities/wmt-2014-english-french", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/wmt-2014-english-french", "target": "concepts/transformer-models"}, {"source": "entities/wmt-2014-english-french", "target": "concepts/attention-mechanisms"}, {"source": "entities/wmt-2014-english-french", "target": "entities/wmt-2014"}, {"source": "entities/wmt-2014-english-french", "target": "entities/google"}, {"source": "entities/wmt-2014-english-french", "target": "entities/google-brain"}, {"source": "entities/wmt-2014-english-french", "target": "entities/google-research"}, {"source": "entities/wmt-2014-english-french", "target": "entities/tensor2tensor"}, {"source": "entities/wmt-2014-english-german", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/wmt-2014-english-german", "target": "concepts/transformer-models"}, {"source": "entities/wmt-2014-english-german", "target": "concepts/attention-mechanisms"}, {"source": "entities/wmt-2014-english-german", "target": "entities/wmt-2014"}, {"source": "entities/wmt-2014-english-german", "target": "entities/tensor2tensor"}, {"source": "entities/wmt-2014", "target": "summaries/attention-is-all-you-need"}, {"source": "entities/wmt-2014", "target": "entities/wmt-2014-english-german"}, {"source": "entities/wmt-2014", "target": "entities/wmt-2014-english-french"}, {"source": "entities/wmt-2014", "target": "concepts/transformer-models"}, {"source": "entities/wmt-2014", "target": "concepts/attention-mechanisms"}, {"source": "entities/wmt-2014", "target": "entities/tensor2tensor"}, {"source": "entities/wmt-2014", "target": "entities/google"}, {"source": "entities/wmt-2014", "target": "entities/google-brain"}, {"source": "entities/wmt-2014", "target": "entities/google-research"}, {"source": "entities/wmt-2014", "target": "entities/nips-2017"}], "types": ["Concept", "Event", "Organization", "Product", "Summary"]}; // replaced by render_html → {nodes,edges,types}
const TYPE_COLORS = { // clean modern palette — crisp, not neon, not muddy
Concept:"45,212,191", Product:"74,222,128", Summary:"56,189,248",
Work:"129,140,248", Organization:"192,132,252", Person:"250,204,21",
Place:"244,114,182", Event:"251,191,36", Entity:"148,163,184"
};
const colorOf = t => TYPE_COLORS[t] || "148,163,184";
const TAU = Math.PI * 2; // full circle for ctx.arc
/* ===================== canvas + state ===================== */
const canvas = document.getElementById("c");
const ctx = canvas.getContext("2d");
const panel = document.getElementById("panel");
const legend = document.getElementById("legend");
const search = document.getElementById("search");
const hintEl = document.getElementById("hint");
const modeTabs = document.getElementById("modeTabs");
const DPR = Math.min(window.devicePixelRatio || 1, 2);
const W = () => canvas.clientWidth;
const H = () => canvas.clientHeight;
// build working nodes/edges from GRAPH (object-form edges: e.source/e.target)
const nodes = GRAPH.nodes.map(n => ({
...n, x:0, y:0, z:0, vx:0, vy:0, vz:0,
r: 3.5 + Math.min(18, Math.sqrt((n.in || 0) + (n.out || 0)) * 2.1), // sqrt-scaled by degree → hubs read big, leaves stay small
col: colorOf(n.type), // cached color → no per-frame lookup
alpha: 1, // per-node fade (legend toggle)
sx:0, sy:0, rz:0, pp:1, hl:1, pinned:false, // projection cache + smoothed highlight + pinned (drag to pull out)
tx:0, ty:0, show:true, depth:0 // radial layout target / visibility / layer
}));
const byId = Object.fromEntries(nodes.map(n => [n.id, n]));
const edges = GRAPH.edges.filter(e => byId[e.source] && byId[e.target]);
const adj = {}; nodes.forEach(n => adj[n.id] = new Set());
edges.forEach(e => { adj[e.source].add(e.target); adj[e.target].add(e.source); }); // Set → O(1) neighbour test
// rank nodes by degree once; top 3 hubs breathe at rest, top ~18% keep labels at rest
const byDeg = [...nodes].sort((a,b) => (b.in+b.out)-(a.in+a.out)).map(n => n.id);
const hubIds = new Set(byDeg.slice(0, Math.min(3, nodes.length)));
const labelIds = new Set(byDeg.slice(0, Math.max(6, Math.round(nodes.length*0.18))));
const hiddenTypes = new Set(); // legend filter
const typeVisible = t => !hiddenTypes.has(t);
const visible = n => n.alpha > 0.02; // for physics/picking (fully-faded skipped)
const DEF_SCALE = 0.82, DEF_YAW = 0.5, DEF_PITCH = -0.28; // initial view → reused by reset (zoomed out so the spread-out cloud fits)
let hover = null, drag = null, selected = null;
let scale = DEF_SCALE, panX = 0, panY = 0;
let yaw = DEF_YAW, pitch = DEF_PITCH; // 3D orbit angles — drag the background to rotate
let orbiting = false, oStartX = 0, oStartY = 0, yawStart = 0, pitchStart = 0;
let panOrigX = 0, panOrigY = 0, pendingInspect = null; // radial: bg-drag pan + click-to-inspect
let didDrag = false;
let alpha = 1; // simulated-annealing "temperature"; cools to 0 so motion stops
// synthetic centre for the radial view ("OpenKB" → documents → concepts)
const ROOT = { id:"__openkb__", label:"OpenKB", type:"__root__", x:0, y:0, sx:0, sy:0, rz:0, pp:1, r:15, show:true };
let treeEdges = []; // radial hierarchy edges (root→doc, doc→concept)
const DEFAULT_SPREAD = 1.7; // open the nebula out by default so it isn't a clump
let spread = DEFAULT_SPREAD; // spacing knob: >1 spreads nodes apart, <1 packs them tighter
let mode = "graph"; // "graph" = 3D nebula (default) · "mindmap" = horizontal tree · "radial" = OpenKB-centred circle
let idleFrames = 0; // frames since last interaction → drives idle auto-rotation
let autoFit = true; // keep gently framing the cloud until the user takes control
document.getElementById("ncount").textContent = nodes.length;
document.getElementById("ecount").textContent = edges.length;
/* ===================== sizing ===================== */
function size(){
canvas.width = W() * DPR;
canvas.height = H() * DPR;
}
function seed(){
const R = 250;
nodes.forEach((n,i) => {
// spread nodes over a sphere (golden-angle spiral) so 3D structure shows from the start
const phi = Math.acos(1 - 2*(i+0.5)/Math.max(1,nodes.length));
const theta = 2.399963 * i;
const rad = R * (0.55 + Math.random()*0.45);
n.x = rad*Math.sin(phi)*Math.cos(theta);
n.y = rad*Math.sin(phi)*Math.sin(theta);
n.z = rad*Math.cos(phi);
n.vx = n.vy = n.vz = 0;
});
}
/* ===================== mind-map: OpenKB → documents → concepts (horizontal tree, DOM) ===================== */
const mmEl = document.getElementById("mindmap");
const mmCollapsed = new Set(); // node ids whose children are hidden
let mmQuery = "", mmRootY = 0;
const mmResolveSrc = s => { const id = String(s).replace(/\.md$/i, ""); return (byId[id] && byId[id].id.startsWith("summaries/")) ? id : null; };
const ROOT_W = 104, NODE_W = 184, COL = 234, ROW = 31, PADX = 34, PADY = 30, NH = 22;
// shared OpenKB → documents → concepts grouping (each concept under its primary source summary)
function buildProvenance(){
const docs = nodes.filter(n => n.id.startsWith("summaries/") && typeVisible(n.type));
const kidsOf = {}; docs.forEach(d => kidsOf[d.id] = []);
const rootDirect = [];
nodes.forEach(n => {
if(n.id.startsWith("summaries/") || !typeVisible(n.type)) return;
const p = (n.sources || []).map(mmResolveSrc).filter(Boolean)[0]; // primary document
if(p && kidsOf[p]) kidsOf[p].push(n); else rootDirect.push(n);
});
return { docs, kidsOf, rootDirect };
}
function buildMindmap(){
const q = mmQuery.toLowerCase();
const keep = n => !q || n.label.toLowerCase().includes(q) || n.id.toLowerCase().includes(q);
const { docs, kidsOf, rootDirect } = buildProvenance();
const mk = n => ({ id:n.id, label:n.label, type:n.type, kids:[] });
const root = { id:"__openkb__", label:"OpenKB", type:"__root__", kids:[] };
docs.forEach(d => {
const kids = kidsOf[d.id].filter(keep).map(mk);
if(q && !keep(d) && !kids.length) return; // search prunes empty branches
const dn = mk(d); dn.kids = kids; root.kids.push(dn);
});
rootDirect.filter(keep).forEach(c => root.kids.push(mk(c)));
let rows = 0, maxDepth = 0;
const flat = [], links = [];
(function place(item, depth){
maxDepth = Math.max(maxDepth, depth);
item.x = PADX + depth * COL;
item.w = item.id === "__openkb__" ? ROOT_W : NODE_W;
const expanded = item.kids.length && !mmCollapsed.has(item.id);
if(expanded){
item.kids.forEach(k => place(k, depth + 1));
item.y = (item.kids[0].y + item.kids[item.kids.length - 1].y) / 2;
item.kids.forEach(k => links.push([item, k]));
} else {
item.y = PADY + rows * ROW; rows++;
}
flat.push(item);
})(root, 0);
const Wpx = PADX + (maxDepth + 1) * COL + 30, Hpx = PADY + rows * ROW + 30;
let svg = `<svg class="mm-links" width="${Wpx}" height="${Hpx}">`;
links.forEach(([p, c]) => {
const x1 = p.x + p.w, y1 = p.y + NH/2, x2 = c.x, y2 = c.y + NH/2, mx = (x1 + x2) / 2;
svg += `<path d="M${x1},${y1} C${mx},${y1} ${mx},${y2} ${x2},${y2}" fill="none" stroke="rgba(${colorOf(c.type)},.4)" stroke-width="1.5"/>`;
});
svg += `</svg>`;
let html = "";
flat.forEach(it => {
if(it.id === "__openkb__"){ html += `<div class="mm-node mm-root" style="left:${it.x}px;top:${it.y - 4}px">OpenKB</div>`; return; }
const col = colorOf(it.type);
const hasKids = it.id.startsWith("summaries/") && (kidsOf[it.id] || []).length;
html += `<div class="mm-node" data-id="${esc(it.id)}" title="${esc(it.label)}" `
+ `style="left:${it.x}px;top:${it.y}px;border-color:rgba(${col},.5);background:rgba(${col},.12)">`
+ `<span class="mm-dot" style="background:rgb(${col})"></span><span class="mm-label">${esc(it.label)}</span>`
+ (hasKids ? `<span class="mm-caret" data-tog="${esc(it.id)}">${mmCollapsed.has(it.id) ? "+" + (kidsOf[it.id] || []).length : "−"}</span>` : ``)
+ `</div>`;
});
const offY = Math.max(0, (mmEl.clientHeight - Hpx) / 2); // centre vertically when it fits; else scroll
mmRootY = offY + flat.find(it => it.id === "__openkb__").y; // for centring the scroll on OpenKB
mmEl.innerHTML = `<div class="mm-canvas" style="width:${Wpx}px;height:${Hpx}px;margin:${offY}px auto 0">${svg}${html}</div>`;
mmEl.querySelectorAll("[data-tog]").forEach(el => el.onclick = e => {
e.stopPropagation(); const id = el.dataset.tog;
if(mmCollapsed.has(id)) mmCollapsed.delete(id); else mmCollapsed.add(id);
buildMindmap();
});
mmEl.querySelectorAll(".mm-node[data-id]").forEach(el => el.onclick = () => { const m = byId[el.dataset.id]; if(m) openPanel(m); });
}
/* ===================== radial view: same OpenKB→docs→concepts tree, fanned in a circle ===================== */
function layoutRadial(){
const { docs, kidsOf, rootDirect } = buildProvenance();
nodes.forEach(n => { n.show = false; });
const branches = docs.map(d => ({ node: d, kids: kidsOf[d.id], w: Math.max(1.6, kidsOf[d.id].length) }))
.concat(rootDirect.map(c => ({ node: c, kids: [], w: 1 })));
const totW = branches.reduce((s, b) => s + b.w, 0) || 1;
const R1 = 250 * (0.6 + 0.4 * spread), R2 = R1 + 175 * (0.6 + 0.4 * spread);
treeEdges = []; ROOT.show = true;
let a = -Math.PI;
branches.forEach(b => {
const wedge = 2 * Math.PI * b.w / totW, mid = a + wedge / 2;
b.node.show = true; b.node.depth = 1; b.node.tx = Math.cos(mid) * R1; b.node.ty = Math.sin(mid) * R1;
treeEdges.push({ a: ROOT, b: b.node });
b.kids.forEach((c, i) => {
const ca = a + wedge * (i + 0.5) / Math.max(1, b.kids.length);
c.show = true; c.depth = 2; c.tx = Math.cos(ca) * R2; c.ty = Math.sin(ca) * R2;
treeEdges.push({ a: b.node, b: c });
});
a += wedge;
});
}
function stepRadial(){
for(const n of nodes){
n.alpha += ((n.show && typeVisible(n.type) ? 1 : 0) - n.alpha) * 0.14;
if(n.show){ n.x += (n.tx - n.x) * 0.16; n.y += (n.ty - n.y) * 0.16; n.z += (0 - n.z) * 0.16; }
}
ROOT.x += (0 - ROOT.x) * 0.16; ROOT.y += (0 - ROOT.y) * 0.16;
alpha += (0 - alpha) * 0.02;
}
/* ===================== physics (adapted from okf-spec.html step()) ===================== */
const VMAX = 9; // per-frame speed cap → no violent swings, even on a dense hub
const alphaTarget = n => typeVisible(n.type) ? 1 : 0;
function step(){
if(mode === "radial"){ stepRadial(); return; }
for(let i=0;i<nodes.length;i++){
const a = nodes[i];
if(!visible(a)) continue;
for(let j=i+1;j<nodes.length;j++){
const b = nodes[j];
if(!visible(b)) continue;
let dx = a.x-b.x, dy = a.y-b.y, dz = a.z-b.z, d = Math.hypot(dx,dy,dz) || 1;
const dd = Math.max(d, 18); // floor distance so near-coincident nodes don't explode
const f = 3600*spread/(dd*dd) * alpha; // spacing knob: stronger repulsion → more spread
a.vx += dx/d*f; a.vy += dy/d*f; a.vz += dz/d*f;
b.vx -= dx/d*f; b.vy -= dy/d*f; b.vz -= dz/d*f;
}
const c = 0.0011/spread*alpha; // gentler centering → the cloud spreads instead of clumping
a.vx += -a.x*c; a.vy += -a.y*c; a.vz += -a.z*c; // pull toward origin
}
edges.forEach(e => {
const a = byId[e.source], b = byId[e.target];
if(!visible(a) || !visible(b)) return;
let dx = b.x-a.x, dy = b.y-a.y, dz = b.z-a.z, d = Math.hypot(dx,dy,dz) || 1;
// soften by the lower-degree endpoint so dense hub↔hub edges don't dominate
// (a leaf↔hub edge stays full strength — that's intended)
const s = 1 / Math.min(adj[e.source].size || 1, adj[e.target].size || 1);
const f = (d-118*spread)*0.012 * s * alpha; // longer rest length when spread up → edges stretch
a.vx += dx/d*f; a.vy += dy/d*f; a.vz += dz/d*f;
b.vx -= dx/d*f; b.vy -= dy/d*f; b.vz -= dz/d*f;
});
nodes.forEach(n => {
// smoothly approach the legend-toggle target opacity
n.alpha += (alphaTarget(n) - n.alpha) * 0.12;
if(n === drag || n.pinned){ n.vx = n.vy = n.vz = 0; return; } // dragged or pinned: held in place
n.vx *= 0.84; n.vy *= 0.84; n.vz *= 0.84; // stronger damping dissipates energy fast
if(n.vx > VMAX) n.vx = VMAX; else if(n.vx < -VMAX) n.vx = -VMAX;
if(n.vy > VMAX) n.vy = VMAX; else if(n.vy < -VMAX) n.vy = -VMAX;
if(n.vz > VMAX) n.vz = VMAX; else if(n.vz < -VMAX) n.vz = -VMAX;
n.x += n.vx; n.y += n.vy; n.z += n.vz;
});
alpha += (0 - alpha) * 0.02; // anneal: forces fade → the layout settles and stops
}
const spacingCtl = document.getElementById("spacingCtl");
function setMode(m){
mode = m;
const canvasMode = (m === "graph" || m === "radial"); // canvas: 3D nebula + radial. mind-map is DOM
canvas.style.display = canvasMode ? "block" : "none";
mmEl.style.display = (m === "mindmap") ? "block" : "none";
spacingCtl.style.display = (m === "mindmap") ? "none" : "flex";
hover = null; closePanel(); panX = 0; panY = 0; autoFit = true;
drag = null; orbiting = false; pendingInspect = null; didDrag = false; canvas.style.cursor = "grab"; // clear in-flight interaction
nodes.forEach(n => n.pinned = false); // pins don't carry across views / reseed
search.value = ""; mmQuery = ""; // keep the search box in sync with the (cleared) filter
if(m === "mindmap"){ buildMindmap(); mmEl.scrollTop = Math.max(0, mmRootY - mmEl.clientHeight / 2); }
else if(m === "radial"){ yaw = 0; pitch = 0; scale = DEF_SCALE; layoutRadial(); alpha = 1; }
else { yaw = DEF_YAW; pitch = DEF_PITCH; scale = DEF_SCALE; seed(); alpha = 1; }
[...modeTabs.children].forEach(b => b.classList.toggle("on", b.dataset.m === m));
updateHint();
}
function updateHint(){
hintEl.innerHTML =
mode === "mindmap" ? 'OpenKB → documents → concepts <kbd>+/−</kbd> expand a branch <kbd>click</kbd> read details'
: mode === "radial" ? 'centre <b>OpenKB</b> → documents → concepts faint = cross-refs <kbd>click</kbd> read <kbd>drag</kbd> pan'
: '<kbd>scroll</kbd> zoom <kbd>drag bg</kbd> rotate <kbd>click</kbd> inspect<br>'
+ '<kbd>drag node</kbd> pull out & pin <kbd>dbl-click</kbd> release';
}
/* ===================== 3D orbit projection + perspective ===================== */
const FOCAL = 900;
function project(){
const cyw = Math.cos(yaw), syw = Math.sin(yaw), cpt = Math.cos(pitch), spt = Math.sin(pitch);
const ox = W()/2 + panX, oy = H()/2 + panY;
for(const n of nodes){
const x1 = n.x*cyw + n.z*syw; // rotate about Y (yaw)
const z1 = -n.x*syw + n.z*cyw;
const y2 = n.y*cpt - z1*spt; // then about X (pitch)
const z2 = n.y*spt + z1*cpt;
const pp = FOCAL/Math.max(FOCAL + z2, FOCAL*0.25); // perspective: near→larger; clamp denom so a node crossing the camera plane can't blow up to ±Infinity/NaN
n.rz = z2; n.pp = pp;
n.sx = ox + x1*pp*scale;
n.sy = oy + y2*pp*scale;
}
}
// inverse of project for one node, holding its current depth — used while dragging
function unproject(sx, sy, n){
const cyw = Math.cos(yaw), syw = Math.sin(yaw), cpt = Math.cos(pitch), spt = Math.sin(pitch);
const ox = W()/2 + panX, oy = H()/2 + panY;
const pp = n.pp || 1, z2 = n.rz || 0;
const x1 = (sx - ox)/(pp*scale);
const y2 = (sy - oy)/(pp*scale);
const y = y2*cpt + z2*spt; // invert pitch
const z1 = -y2*spt + z2*cpt;
return { x: x1*cyw - z1*syw, y, z: x1*syw + z1*cyw }; // invert yaw
}
function centerOn(n){ panX += (W()/2 - n.sx); panY += (H()/2 - n.sy); }
// gently ease zoom + pan each frame so the cloud keeps filling the viewport (no sudden snap)
function fitStep(){
let minX = 1e9, minY = 1e9, maxX = -1e9, maxY = -1e9;
for(const n of nodes){
if(!visible(n)) continue;
const r = n.r * n.pp * scale;
if(n.sx - r < minX) minX = n.sx - r;
if(n.sx + r > maxX) maxX = n.sx + r;
if(n.sy - r < minY) minY = n.sy - r;
if(n.sy + r > maxY) maxY = n.sy + r;
}
if(maxX <= minX || maxY <= minY) return;
const cx = (minX + maxX) / 2, cy = (minY + maxY) / 2;
const factor = Math.min(W() * 0.9 / (maxX - minX), H() * 0.88 / (maxY - minY));
const tScale = Math.min(scale * factor, 4); // cap so a tiny graph (e.g. 1 node) doesn't balloon past the zoom range
const Xc = (cx - (W()/2 + panX)) / scale, Yc = (cy - (H()/2 + panY)) / scale;
const tPanX = -Xc * tScale, tPanY = -Yc * tScale;
const e = 0.07; // ease 7%/frame → smooth glide into frame
scale += (tScale - scale) * e;
panX += (tPanX - panX) * e;
panY += (tPanY - panY) * e;
}
canvas.addEventListener("wheel", e => {
e.preventDefault();
idleFrames = 0; autoFit = false; // user takes control of zoom → stop auto-framing & rotation
const f = Math.exp(-e.deltaY * 0.0015);
const ns = Math.max(0.3, Math.min(9, scale*f)); // wider range so you can dive deep in
const k = ns/scale;
// anchor zoom on the cursor → drill into whatever cluster you point at
const dx = e.offsetX - W()/2, dy = e.offsetY - H()/2;
panX = dx*(1-k) + panX*k;
panY = dy*(1-k) + panY*k;
scale = ns;
}, {passive:false});
/* ===================== picking ===================== */
function pick(sx, sy){
let best = null, bestDepth = Infinity;
for(const n of nodes){
if(!visible(n)) continue;
const rr = n.r*n.pp*scale + 6;
if(Math.hypot(n.sx - sx, n.sy - sy) < rr && n.rz < bestDepth){
best = n; bestDepth = n.rz; // nearest (smallest depth) wins where discs overlap
}
}
return best;
}
/* ===================== radial rendering ===================== */
function drawCrossEdge(e){ // faint wikilink cross-reference; lights up on hover
const a = byId[e.source], b = byId[e.target];
if(!a.show || !b.show || a.alpha < 0.05 || b.alpha < 0.05) return;
const hot = hover && (e.source === hover || e.target === hover);
ctx.globalAlpha = hot ? 0.85 : 0.05;
ctx.strokeStyle = hot ? "rgba(45,212,191,.9)" : "rgba(150,180,225,.6)";
ctx.lineWidth = hot ? 1.4 : 0.6;
ctx.beginPath(); ctx.moveTo(a.sx, a.sy); ctx.lineTo(b.sx, b.sy); ctx.stroke();
ctx.globalAlpha = 1;
}
function drawTreeEdge(e){ // bright hierarchy spoke (root→doc, doc→concept)
const a = e.a, b = e.b;
if(b.alpha < 0.05) return;
ctx.globalAlpha = 0.5 * (b.alpha || 1);
ctx.strokeStyle = "rgba(255,255,255,.34)";
ctx.lineWidth = (a === ROOT) ? 1.7 : 1.0;
ctx.beginPath(); ctx.moveTo(a.sx, a.sy); ctx.lineTo(b.sx, b.sy); ctx.stroke();
ctx.globalAlpha = 1;
}
function drawRoot(){
const x = ROOT.sx, y = ROOT.sy, r = ROOT.r;
ctx.beginPath(); ctx.arc(x, y, r, 0, TAU);
ctx.fillStyle = "rgba(232,242,252,.96)";
ctx.shadowColor = "rgba(120,200,255,.95)"; ctx.shadowBlur = 24; ctx.fill(); ctx.shadowBlur = 0;
ctx.fillStyle = "rgba(238,242,247,.98)"; ctx.font = "700 13px ui-monospace,monospace"; ctx.textAlign = "center";
ctx.shadowColor = "rgba(4,6,10,.95)"; ctx.shadowBlur = 5;
ctx.fillText("OpenKB", x, y + r + 16);
ctx.shadowBlur = 0;
}
/* ===================== rendering ===================== */
function drawEdge(e, t){
const a = byId[e.source], b = byId[e.target];
const al = Math.min(a.alpha, b.alpha);
if(al < 0.02) return;
const hot = hover && (e.source===hover || e.target===hover);
const ax=a.sx, ay=a.sy, bx=b.sx, by=b.sy;
const fog = Math.max(0.2, Math.min(1, 1 - (a.rz+b.rz)/1300)); // far edges recede
const ehl = Math.max(a.hl, b.hl); // edge eases with its endpoints (smooth dim)
ctx.globalAlpha = al * fog * (hot ? 1 : (0.13 + 0.6*ehl));
ctx.strokeStyle = hot ? "rgba(45,212,191,.9)" : `rgba(255,255,255,${0.04 + 0.05*ehl})`;
ctx.lineWidth = hot ? 1.5 : 0.9;
ctx.beginPath(); ctx.moveTo(ax,ay); ctx.lineTo(bx,by); ctx.stroke();
// arrowhead at b, backed off by b's projected radius; sized to the node so it never engulfs a small dot
const ang = Math.atan2(by-ay, bx-ax);
const br = b.r*b.pp*scale;
const off = br + 3;
const hx = bx - Math.cos(ang)*off, hy = by - Math.sin(ang)*off;
const ah = Math.max(3.5, Math.min(7, br*0.95));
ctx.fillStyle = hot ? "rgba(45,212,191,.9)" : `rgba(255,255,255,${0.08 + 0.12*ehl})`;
ctx.beginPath();
ctx.moveTo(hx, hy);
ctx.lineTo(hx - Math.cos(ang-.4)*ah, hy - Math.sin(ang-.4)*ah);
ctx.lineTo(hx - Math.cos(ang+.4)*ah, hy - Math.sin(ang+.4)*ah);
ctx.fill();
// animated flow particle along highlighted edges
if(hot){
const k = (t*0.0006) % 1;
const fx = ax + (bx-ax)*k, fy = ay + (by-ay)*k;
ctx.shadowColor = "rgba(45,212,191,.9)"; ctx.shadowBlur = 8;
ctx.fillStyle = "rgba(170,255,240,.98)";
ctx.beginPath(); ctx.arc(fx, fy, 2.8, 0, TAU); ctx.fill();
ctx.shadowBlur = 0;
}
ctx.globalAlpha = 1;
}
// ambient "comets" drifting along random filaments → the nebula feels alive even at rest
const pulses = Array.from({length: Math.min(10, Math.max(0, edges.length))},
() => ({ ei: Math.floor(Math.random()*edges.length), k: Math.random(), sp: 0.003 + Math.random()*0.004 }));
function drawPulses(t){
for(const p of pulses){
let e = edges[p.ei], a = e && byId[e.source], b = e && byId[e.target];
if(!e || a.alpha < 0.06 || b.alpha < 0.06){ p.ei = Math.floor(Math.random()*edges.length); p.k = 0; continue; }
p.k += p.sp;
if(p.k >= 1){ p.k = 0; p.ei = Math.floor(Math.random()*edges.length); continue; }
const fade = Math.sin(p.k*Math.PI); // fade in/out along the filament
const fog = Math.max(0.25, Math.min(1, 1 - (a.rz+b.rz)/1300));
const fx = a.sx + (b.sx-a.sx)*p.k, fy = a.sy + (b.sy-a.sy)*p.k;
ctx.globalAlpha = 0.85 * fade * fog;
ctx.shadowColor = "rgba(120,200,255,.9)"; ctx.shadowBlur = 7;
ctx.fillStyle = "rgba(190,225,255,.95)";
ctx.beginPath(); ctx.arc(fx, fy, 1.7, 0, TAU); ctx.fill();
ctx.shadowBlur = 0; ctx.globalAlpha = 1;
}
}
function drawNode(n, t){
if(n.alpha < 0.02) return;
const col = n.col;
const hl = n.hl; // smoothed highlight: 1 = lit; eases down (not snaps) when another node is hovered
const breathe = (!hover && hubIds.has(n.id)) ? (1 + 0.05*Math.sin(t*0.0024)) : 1;
const pulse = (n.id===hover) ? (1.16 + 0.03*Math.sin(t*0.006)) : 1;
const r = Math.max(2, n.r * pulse * breathe * n.pp * scale); // perspective: near = larger
const fog = Math.max(0.32, Math.min(1, 1 - n.rz/640)); // depth cue: far nodes recede
const x = n.sx, y = n.sy;
ctx.globalAlpha = n.alpha * (0.62 + 0.38*fog) * (0.45 + 0.55*hl); // mostly solid → no muddy overlap, fog only hints depth
// selected ring
if(n.id === selected){
ctx.beginPath(); ctx.arc(x, y, r+6, 0, TAU);
ctx.strokeStyle = `rgba(${col},.85)`; ctx.lineWidth = 2; ctx.stroke();
}
// pinned marker (dashed ring → "pulled out and held")
if(n.pinned){
ctx.beginPath(); ctx.arc(x, y, r+4, 0, TAU);
ctx.strokeStyle = "rgba(255,255,255,.65)"; ctx.lineWidth = 1.5;
ctx.setLineDash([3,3]); ctx.stroke(); ctx.setLineDash([]);
}
// hover halo
if(n.id === hover){
ctx.beginPath(); ctx.arc(x, y, r+11, 0, TAU);
ctx.fillStyle = `rgba(${col},.16)`; ctx.fill();
}
// disc + glow (glow eases with highlight so hovering doesn't flash the whole scene)
ctx.beginPath(); ctx.arc(x, y, r, 0, TAU);
const twinkle = 0.82 + 0.18*Math.sin(t*0.0013 + n.r*3.1); // gentle per-node shimmer
ctx.fillStyle = `rgba(${col},${0.5 + 0.5*hl})`;
ctx.shadowColor = `rgba(${col},.9)`;
ctx.shadowBlur = (n.id===hover ? 18 : 8) * fog * hl * twinkle; // soft bloom → nebula glow
ctx.fill();
ctx.shadowBlur = 0;
// bright core spark for the nearer/brighter nodes
if(hl > 0.5 && fog > 0.5){
ctx.beginPath(); ctx.arc(x - r*0.28, y - r*0.28, r*0.3, 0, TAU);
ctx.fillStyle = `rgba(255,255,255,${0.35*fog})`; ctx.fill();
}
// label — declutter: hubs at rest; hovered node + neighbors; selection; zoomed in; near depth only
const showLabel = (mode === "radial" && n.depth <= 1) || (scale > 1.4) || (n.id === selected) || (hover ? hl > 0.55 : labelIds.has(n.id));
if(showLabel && fog > 0.55){
ctx.fillStyle = `rgba(238,242,247,${0.4 + 0.55*hl})`;
ctx.font = `600 11px ui-monospace,monospace`;
ctx.textAlign = "center";
ctx.shadowColor = "rgba(4,6,10,.92)"; ctx.shadowBlur = 4; // legibility over the edge web
const lbl = n.label.length > 24 ? n.label.slice(0, 23) + "…" : n.label;
ctx.fillText(lbl, x, y + r + 12);
ctx.shadowBlur = 0;
}
ctx.globalAlpha = 1;
}
function frame(t){
if(mode === "radial"){ // canvas: OpenKB-rooted radial tree (flat)
if(alpha > 0.005) step();
project();
ROOT.pp = 1; ROOT.rz = 0;
ROOT.sx = W()/2 + panX + ROOT.x*scale; ROOT.sy = H()/2 + panY + ROOT.y*scale;
if(autoFit && !orbiting) fitStep();
const focus = hover || selected;
for(const n of nodes){
const near = !focus || n.id===focus || (adj[focus] && adj[focus].has(n.id));
n.hl += ((near ? 1 : 0.5) - n.hl) * 0.12;
}
ctx.setTransform(DPR,0,0,DPR,0,0); ctx.clearRect(0,0,W(),H());
edges.forEach(drawCrossEdge);
treeEdges.forEach(drawTreeEdge);
nodes.filter(visible).forEach(n => drawNode(n, t));
drawRoot();
} else if(mode === "graph"){ // mind-map is DOM — the canvas idles in that mode
if(alpha > 0.005) step();
project();
if(autoFit && !orbiting && !drag){ fitStep(); } // smoothly keep the cloud framed to the viewport
idleFrames = (orbiting || drag) ? 0 : idleFrames + 1;
if(alpha < 0.05 && idleFrames > 150) yaw += 0.0011; // gentle auto-rotation once settled & idle
const focus = hover || selected; // hover/selection spotlights a node + its neighbours
for(const n of nodes){
const near = !focus || n.id===focus || (adj[focus] && adj[focus].has(n.id));
n.hl += ((near ? 1 : 0.22) - n.hl) * 0.12;
}
ctx.setTransform(DPR,0,0,DPR,0,0);
ctx.clearRect(0,0,W(),H());
edges.forEach(e => drawEdge(e, t));
drawPulses(t); // ambient light travelling the filaments
// draw nodes far → near so nearer discs occlude farther ones (painter's algorithm)
nodes.filter(visible).sort((a,b) => b.rz - a.rz).forEach(n => drawNode(n, t));
}
requestAnimationFrame(frame);
}
/* ===================== hover / drag / pan ===================== */
canvas.addEventListener("mousemove", e => {
if(drag){
// ignore sub-pixel jitter so a plain click still inspects instead of pinning
if(!didDrag && Math.hypot(e.offsetX - oStartX, e.offsetY - oStartY) < 4) return;
didDrag = true;
const w = unproject(e.offsetX, e.offsetY, drag); // move the node within the current view plane
drag.x = w.x; drag.y = w.y; drag.z = w.z; drag.vx = drag.vy = drag.vz = 0;
alpha = Math.max(alpha, 0.5); // reheat so neighbors re-settle around the dragged node
return;
}
if(orbiting){
if(mode === "radial"){ // flat radial → drag background to pan
panX = panOrigX + (e.offsetX - oStartX);
panY = panOrigY + (e.offsetY - oStartY);
} else { // 3D → drag background to orbit
yaw = yawStart + (e.offsetX - oStartX) * 0.0045;
pitch = Math.max(-1.45, Math.min(1.45, pitchStart - (e.offsetY - oStartY) * 0.0045));
}
didDrag = true; return;
}
const n = pick(e.offsetX, e.offsetY);
hover = n ? n.id : null;
});
canvas.addEventListener("mousedown", e => {
const n = pick(e.offsetX, e.offsetY);
didDrag = false; idleFrames = 0; autoFit = false; // user takes control → stop auto-framing
oStartX = e.offsetX; oStartY = e.offsetY;
if(mode === "radial"){ // click node → inspect; drag bg → pan
pendingInspect = n; orbiting = true; panOrigX = panX; panOrigY = panY;
canvas.style.cursor = "grabbing"; return;
}
if(n){ drag = n; hover = n.id; canvas.style.cursor = "grabbing"; }
else { orbiting = true; yawStart = yaw; pitchStart = pitch; canvas.style.cursor = "grabbing"; }
});
window.addEventListener("mouseup", e => {
if(mode === "radial"){
if(pendingInspect && !didDrag) openPanel(pendingInspect);
} else if(drag && !didDrag){ openPanel(drag); } // click (no drag) → inspect
else if(drag && didDrag){ drag.pinned = true; alpha = Math.max(alpha, 0.5); } // pulled out → pin it
drag = null; orbiting = false; pendingInspect = null;
canvas.style.cursor = "grab";
});
canvas.addEventListener("dblclick", e => {
const n = pick(e.offsetX, e.offsetY);
if(n && n.pinned){ n.pinned = false; alpha = Math.max(alpha, 0.5); } // double-click a pinned node → release
});
canvas.addEventListener("mouseleave", () => { if(!drag && !orbiting) hover = null; });
/* ===================== inspector panel ===================== */
function esc(s){ return String(s == null ? "" : s).replace(/[&<>"]/g, c => ({"&":"&","<":"<",">":">",'"':"""}[c])); }
function openPanel(n){
selected = n.id;
const col = colorOf(n.type);
const outL = edges.filter(e => e.source===n.id).map(e => e.target);
const inL = edges.filter(e => e.target===n.id).map(e => e.source);
const linkRows = ids => ids.length
? ids.map(id => `<span class="lk" data-n="${esc(id)}">${esc(byId[id] ? byId[id].label : id)}</span>`).join("")
: `<div class="empty">none</div>`;
const srcRows = (n.sources && n.sources.length)
? n.sources.map(s => `<span class="src">${esc(s)}</span>`).join("")
: `<div class="empty">none</div>`;
panel.innerHTML =
`<button class="x" title="close">×</button>` +
`<div class="chip" style="background:rgba(${col},.18);color:rgb(${col})">${esc(n.type)}</div>` +
`<h2>${esc(n.label)}</h2>` +
`<div class="id">${esc(n.id)}</div>` +
`<div class="desc">${esc(n.description) || '<span class="empty">No description.</span>'}</div>` +
`<h4>sources<span class="n">${(n.sources||[]).length}</span></h4>${srcRows}` +
`<h4>→ links to<span class="n">${outL.length}</span></h4>${linkRows(outL)}` +
`<h4>← linked from<span class="n">${inL.length}</span></h4>${linkRows(inL)}`;
panel.classList.add("open");
panel.querySelector(".x").onclick = closePanel;
panel.querySelectorAll("[data-n]").forEach(a => a.onclick = () => {
const m = byId[a.dataset.n];
if(!m) return;
if(mode === "graph" || mode === "radial"){ hover = m.id; autoFit = false; centerOn(m); } // canvas views: bring it into view (stop auto-fit so the pan sticks)
openPanel(m); // all modes: show its details
});
}
function closePanel(){ panel.classList.remove("open"); selected = null; }
/* ===================== legend (type filter) ===================== */
const typeCounts = {};
nodes.forEach(n => { typeCounts[n.type] = (typeCounts[n.type]||0) + 1; });
legend.innerHTML = `<div class="lh">type — click to filter</div>`;
(GRAPH.types && GRAPH.types.length ? GRAPH.types : Object.keys(typeCounts).sort()).forEach(t => {
const row = document.createElement("div");
row.className = "li";
row.innerHTML =
`<span class="d" style="background:rgb(${colorOf(t)});box-shadow:0 0 10px rgba(${colorOf(t)},.8)"></span>` +
`<span class="nm">${esc(t)}</span><span class="ct">${typeCounts[t]||0}</span>`;
row.onclick = () => {
row.classList.toggle("off");
if(hiddenTypes.has(t)) hiddenTypes.delete(t); else hiddenTypes.add(t);
if(mode === "mindmap") buildMindmap(); // rebuild without the hidden type
else { if(mode === "radial") layoutRadial(); alpha = Math.max(alpha, 0.4); } // reheat / re-fan
};
legend.appendChild(row);
});
/* ===================== search ===================== */
search.addEventListener("input", e => {
const raw = e.target.value.trim();
if(mode === "mindmap"){ mmQuery = raw; buildMindmap(); return; } // filter branches
const q = raw.toLowerCase();
if(!q){ hover = null; return; }
const m = nodes.find(n => n.label.toLowerCase().includes(q))
|| nodes.find(n => n.id.toLowerCase().includes(q));
if(m){ hover = m.id; autoFit = false; centerOn(m); } // stop auto-fit so the centring sticks
});
search.addEventListener("keydown", e => {
if(e.key === "Enter"){
const m = byId[hover];
if(m) openPanel(m);
}
});
/* ===================== controls (mode toggle + spacing slider + reset) ===================== */
[...modeTabs.children].forEach(b => b.addEventListener("click", () => setMode(b.dataset.m)));
const spreadEl = document.getElementById("spread");
spreadEl.addEventListener("input", e => {
spread = parseFloat(e.target.value) || 1;
if(mode === "radial") layoutRadial(); // re-fan the rings
alpha = Math.max(alpha, 0.6); autoFit = true; // reheat + re-frame to the new spacing
});
document.getElementById("reset").addEventListener("click", () => {
hover = null; closePanel();
if(mode === "mindmap"){
mmQuery = ""; search.value = ""; mmCollapsed.clear(); buildMindmap(); mmEl.scrollTop = 0; mmEl.scrollLeft = 0;
} else if(mode === "radial"){
spread = DEFAULT_SPREAD; spreadEl.value = String(DEFAULT_SPREAD); panX = 0; panY = 0;
scale = DEF_SCALE; yaw = 0; pitch = 0; layoutRadial();
alpha = Math.max(alpha, 0.9); autoFit = true;
} else {
spread = DEFAULT_SPREAD; spreadEl.value = String(DEFAULT_SPREAD); panX = 0; panY = 0;
scale = DEF_SCALE; yaw = DEF_YAW; pitch = DEF_PITCH;
nodes.forEach(n => n.pinned = false); // release pinned
alpha = Math.max(alpha, 0.9); autoFit = true; // re-settle + re-frame from the reset state
}
});
/* ===================== boot ===================== */
window.addEventListener("resize", () => { size(); autoFit = true; if(mode === "mindmap") buildMindmap(); });
size(); seed();
setMode("graph"); // open on the 3D nebula
requestAnimationFrame(frame);
</script>
</body>
</html>