Ihor_Zhekov
e344f1b7e7
Container-ready via docker/ compose (frontend nginx + backend Node). Compose adjusted for Coolify on the prod server: frontend uses expose:80 (no host binding — host 8080 is taken by the Coolify proxy; Traefik routes visigine.de), backend ALLOWED_ORIGINS=https://visigine.de. Secrets stay in server/.env (git-ignored); see server/.env.example. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
39 lines
1.3 KiB
JavaScript
39 lines
1.3 KiB
JavaScript
// Case-insensitive substring search for brand identifiers in LLM output.
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// Returns the first match's position and a ~200-char surrounding snippet.
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export function detectMention(text, client) {
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let aliases = []
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try { aliases = JSON.parse(client.brand_aliases || '[]') } catch { /* keep [] */ }
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const candidates = [
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client.name,
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client.hostname?.split('.')[0],
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...aliases,
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]
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.filter(Boolean)
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.map((s) => String(s).toLowerCase().trim())
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.filter((s) => s.length >= 3)
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.filter((v, i, a) => a.indexOf(v) === i)
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if (!text || candidates.length === 0) {
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return { mentioned: false, position: null, snippet: null }
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}
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const lower = text.toLowerCase()
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let best = null
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for (const candidate of candidates) {
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const idx = lower.indexOf(candidate)
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if (idx >= 0 && (best === null || idx < best.position)) {
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best = { position: idx, candidate }
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}
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}
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if (!best) return { mentioned: false, position: null, snippet: null }
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const start = Math.max(0, best.position - 100)
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const end = Math.min(text.length, best.position + best.candidate.length + 100)
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let snippet = text.slice(start, end).trim()
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if (start > 0) snippet = '…' + snippet
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if (end < text.length) snippet = snippet + '…'
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return { mentioned: true, position: best.position, snippet }
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}
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