[teamai] Push 87 resource(s) from XingfenD
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// Shared lexical-matching helpers used by both the assets/ scan (adopt.mjs) and
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// the reuse-candidate ranker (candidates.mjs), and the type-equivalence check
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// used by resolve.mjs and candidates.mjs. Kept in one place so the icon<->image
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// equivalence and the token rules can't drift between the "do" path (resolve)
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// and the "look" path (candidates).
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// Common filler words that should never, on their own, make two strings match.
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const MATCH_STOPWORDS = new Set([
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"the",
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"and",
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"for",
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"with",
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"from",
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"this",
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"that",
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"your",
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"our",
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]);
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// Split into lowercased word tokens of length >= 3, minus stopwords.
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export function matchTokens(text) {
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return new Set(
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String(text)
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.toLowerCase()
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.split(/[^a-z0-9]+/)
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.filter((t) => t.length >= 3 && !MATCH_STOPWORDS.has(t)),
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);
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}
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// Count of shared meaningful word tokens between two strings. 0 = no lexical
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// overlap (the candidate ranker still surfaces these, ordered after overlaps).
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export function tokenOverlap(a, b) {
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const ta = matchTokens(a);
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const tb = matchTokens(b);
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let n = 0;
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for (const t of ta) if (tb.has(t)) n++;
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return n;
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}
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// icon, image, and logo are interchangeable: all live in images/, and
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// figma-imported brand marks are recorded as type image while agents ask for
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// logos as icon or logo.
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export function typesMatch(a, b) {
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if (a === b) return true;
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const visual = new Set(["icon", "image", "logo"]);
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return visual.has(a) && visual.has(b);
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}
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