33bdf30709
- BM25 ranking via SQLite FTS5 bm25() function - Query preprocessor with wildcard expansion and special char escaping - Library search with composite scoring (name match, trust score, snippet count) - Trust score computation from stars, coverage, and source type - Response formatters for library and snippet results Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
42 lines
1.2 KiB
TypeScript
42 lines
1.2 KiB
TypeScript
/**
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* Trust score computation for repositories.
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*
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* Produces a composite score in [0, 10] that reflects the credibility and
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* completeness of a repository's documentation.
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*/
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import type { Repository } from '$lib/types';
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/**
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* Compute a trust score (0–10) for a repository.
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*
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* Score components:
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* - Stars : up to 4 points on a log10 scale (10 k stars = 4 pts)
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* - Doc coverage : up to 3 points (500 snippets = 3 pts)
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* - Source type : 1 point for GitHub repos
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* - Indexed state: 1 point when state is "indexed"
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* - Description : 1 point when a description is present
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*/
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export function computeTrustScore(repo: Repository): number {
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let score = 0;
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// Stars (up to 4 points): log scale, 10k stars ≈ 4 pts.
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if (repo.stars) {
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score += Math.min(4, Math.log10(repo.stars + 1));
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}
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// Documentation coverage (up to 3 points).
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score += Math.min(3, (repo.totalSnippets ?? 0) / 500);
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// Source type (1 point for GitHub).
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if (repo.source === 'github') score += 1;
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// Successful indexing (1 point).
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if (repo.state === 'indexed') score += 1;
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// Has description (1 point).
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if (repo.description) score += 1;
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return Math.min(10, parseFloat(score.toFixed(1)));
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}
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