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Rename Hash Sizes → Repeater Hashes, enrich collisions with distance

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1-byte collision table now shows:
- Max pairwise distance between colliding nodes
- Classification: Local (<50km, true collision), Regional (50-200km,
  possible atmospheric), Distant (>200km, internet bridge/MQTT/separate mesh)
- Coordinates for each node
- Legend explaining each classification
- Sorted: distant first (most interesting)
This commit is contained in:
you
2026-03-19 08:43:26 +00:00
parent 43f495a1a8
commit edbeefaa51
1 changed files with 65 additions and 10 deletions
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public/analytics.js
+65 -10
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@@ -69,7 +69,7 @@
<button class="tab-btn" data-tab="rf">RF / Signal</button>
<button class="tab-btn" data-tab="topology">Topology</button>
<button class="tab-btn" data-tab="channels">Channels</button>
<button class="tab-btn" data-tab="hashsizes">Hash Sizes</button>
<button class="tab-btn" data-tab="hashsizes">Repeater Hashes</button>
<button class="tab-btn" data-tab="subpaths">Route Patterns</button>
</div>
</div>
@@ -743,23 +743,78 @@
const oneByteHops = topHops.filter(h => h.size === 1);
if (!oneByteHops.length) { el.innerHTML = '<div class="text-muted">No 1-byte hops</div>'; return; }
try {
const nodesData = await api('/nodes?limit=500');
const nodesData = await api('/nodes?limit=2000');
const nodes = nodesData.nodes || [];
const collisions = [];
for (const hop of oneByteHops) {
const prefix = hop.hex.toLowerCase();
const matches = nodes.filter(n => n.public_key.toLowerCase().startsWith(prefix));
if (matches.length > 1) collisions.push({ hop: hop.hex, count: hop.count, matches });
if (matches.length > 1) {
// Calculate pairwise distances for classification
const withCoords = matches.filter(m => m.lat && m.lon && !(m.lat === 0 && m.lon === 0));
let maxDistKm = 0;
let classification = 'unknown';
if (withCoords.length >= 2) {
for (let i = 0; i < withCoords.length; i++) {
for (let j = i + 1; j < withCoords.length; j++) {
const dLat = (withCoords[i].lat - withCoords[j].lat) * 111;
const dLon = (withCoords[i].lon - withCoords[j].lon) * 85;
const d = Math.sqrt(dLat * dLat + dLon * dLon);
if (d > maxDistKm) maxDistKm = d;
}
}
if (maxDistKm < 50) classification = 'local';
else if (maxDistKm < 200) classification = 'regional';
else classification = 'distant';
} else if (withCoords.length < 2) {
classification = 'incomplete';
}
collisions.push({ hop: hop.hex, count: hop.count, matches, maxDistKm, classification, withCoords: withCoords.length });
}
}
if (!collisions.length) { el.innerHTML = '<div class="text-muted" style="padding:8px">No collisions detected</div>'; return; }
// Sort: distant first (most interesting), then regional, local, incomplete
const classOrder = { distant: 0, regional: 1, local: 2, incomplete: 3, unknown: 4 };
collisions.sort((a, b) => classOrder[a.classification] - classOrder[b.classification] || b.count - a.count);
el.innerHTML = `<table class="analytics-table">
<thead><tr><th>Hop</th><th>Appearances</th><th>Colliding Nodes</th></tr></thead>
<tbody>${collisions.map(c => `<tr>
<td class="mono">${c.hop}</td>
<td>${c.count.toLocaleString()}</td>
<td>${c.matches.map(m => `<a href="#/nodes/${encodeURIComponent(m.public_key)}" class="analytics-link">${esc(m.name || m.public_key.slice(0,12))}</a>`).join(', ')}</td>
</tr>`).join('')}</tbody>
</table>`;
<thead><tr><th>Hop</th><th>Appearances</th><th>Max Distance</th><th>Assessment</th><th>Colliding Nodes</th></tr></thead>
<tbody>${collisions.map(c => {
let badge, tooltip;
if (c.classification === 'local') {
badge = '<span class="badge" style="background:#22c55e;color:#fff" title="All nodes within 50km — likely true collision, same RF neighborhood">🏘️ Local</span>';
tooltip = 'Nodes close enough for direct RF — probably genuine prefix collision';
} else if (c.classification === 'regional') {
badge = '<span class="badge" style="background:#f59e0b;color:#fff" title="Nodes 50–200km apart — edge of LoRa range, could be atmospheric">⚡ Regional</span>';
tooltip = 'At edge of 915MHz range — could indicate atmospheric ducting or hilltop-to-hilltop links';
} else if (c.classification === 'distant') {
badge = '<span class="badge" style="background:#ef4444;color:#fff" title="Nodes >200km apart — beyond typical 915MHz range">🌐 Distant</span>';
tooltip = 'Beyond typical LoRa range — likely internet bridging, MQTT gateway, or separate mesh networks sharing prefix';
} else {
badge = '<span class="badge" style="background:#6b7280;color:#fff">❓ Unknown</span>';
tooltip = 'Not enough coordinate data to classify';
}
const distStr = c.withCoords >= 2 ? `${Math.round(c.maxDistKm)} km` : '<span class="text-muted">—</span>';
return `<tr>
<td class="mono">${c.hop}</td>
<td>${c.count.toLocaleString()}</td>
<td>${distStr}</td>
<td title="${tooltip}">${badge}</td>
<td>${c.matches.map(m => {
const loc = (m.lat && m.lon && !(m.lat === 0 && m.lon === 0))
? ` <span class="text-muted" style="font-size:0.75em">(${m.lat.toFixed(2)}, ${m.lon.toFixed(2)})</span>`
: ' <span class="text-muted" style="font-size:0.75em">(no coords)</span>';
return `<a href="#/nodes/${encodeURIComponent(m.public_key)}" class="analytics-link">${esc(m.name || m.public_key.slice(0,12))}</a>${loc}`;
}).join('<br>')}</td>
</tr>`;
}).join('')}</tbody>
</table>
<div class="text-muted" style="padding:8px;font-size:0.8em">
<strong>🏘️ Local</strong> &lt;50km: true prefix collision, same mesh area &nbsp;
<strong>⚡ Regional</strong> 50–200km: edge of LoRa range, possible atmospheric propagation &nbsp;
<strong>🌐 Distant</strong> &gt;200km: beyond 915MHz range — internet bridge, MQTT gateway, or separate networks
</div>`;
} catch { el.innerHTML = '<div class="text-muted">Failed to load</div>'; }
}