brackt/app/lib/fuzzy-match.ts

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Add golf qualifying points simulator (Plackett-Luce Monte Carlo) (#223) * Add golf QP simulator with Plackett-Luce model, fixes #120 - New `participant_golf_skills` table (migration 0061) for SG: Total and per-major American odds per player/season - New `app/models/golf-skills.ts` with getGolfSkillsMap, getGolfSkillsForSeason, batchUpsertGolfSkills - Full `GolfSimulator` implementation replacing the TODO stub: Plackett-Luce ranking model (PL_BETA=1.5, FIELD_SIZE=156), 10k Monte Carlo iterations, awards QP by finishing position, ranks by total QP across all 4 majors - New admin route `sports-seasons/:id/golf-skills` with bulk CSV import, fuzzy name matching, per-player SG + per-major odds inputs; saves skills and auto-runs simulation on submit - Simulator dropdown on sport admin sorted alphabetically; renamed to "Golf Qualifying Points Monte Carlo" - Golf Skills button shown on sports season admin when simulator type is golf_qualifying_points - Extract normalizeName/diceCoefficient to shared `app/lib/fuzzy-match.ts`, removing duplication from surface-elo and golf-skills routes - Parallelize 4 DB queries in GolfSimulator.simulate() with Promise.all - O(1) field array removal via swap-to-end + pop (was O(N) splice) - Fix source tag: performance_model (not elo_simulation) for SG-based model - 23 unit tests covering americanToImplied, getMajorOddsKey, resolveSkill, simulateMajor, and Monte Carlo calibration properties Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix oxlint errors: no-non-null-assertion and eqeqeq Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-24 21:46:02 -07:00
/** Normalize a display name for comparison: lowercase, strip punctuation, collapse whitespace. */
export function normalizeName(name: string): string {
return name.toLowerCase().replace(/[^a-z0-9\s]/g, '').replace(/\s+/g, ' ').trim();
}
function bigrams(s: string): string[] {
const result: string[] = [];
for (let i = 0; i < s.length - 1; i++) result.push(s.slice(i, i + 2));
return result;
}
/** Bigram Dice coefficient — returns similarity in [0, 1]. */
export function diceCoefficient(a: string, b: string): number {
if (a === b) return 1;
if (a.length < 2 || b.length < 2) return 0;
const bigA = bigrams(a);
const bigB = new Set(bigrams(b));
const intersection = bigA.filter((bg) => bigB.has(bg)).length;
return (2 * intersection) / (bigA.length + bigB.size);
}