- Add unique index on (sports_season_id, name) in participants table - findParticipantByName uses case-insensitive lower() comparison - Single add: check for existing name before insert, return clear error - Bulk add: load existing names once upfront (1 query vs N), dedup input case-insensitively, report skipped names in UI - Fix golf-skills and surface-elo routes which called createParticipant without any duplicate guard (would have thrown DB constraint errors) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
703 lines
29 KiB
TypeScript
703 lines
29 KiB
TypeScript
import { Form, redirect, useLoaderData, useActionData, useNavigation, useFetcher } from 'react-router';
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import type { Route } from './+types/admin.sports-seasons.$id.golf-skills';
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import { logger } from '~/lib/logger';
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import { findSportsSeasonById, updateSportsSeason } from '~/models/sports-season';
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import { findParticipantsBySportsSeasonId, findParticipantByName, createParticipant } from '~/models/participant';
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import { batchUpsertParticipantEVs } from '~/models/participant-expected-value';
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import { batchUpsertParticipantEvSnapshots } from '~/models/ev-snapshot';
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import { getGolfSkillsForSeason, batchUpsertGolfSkills } from '~/models/golf-skills';
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import { getSimulator, type SimulatorType } from '~/services/simulations/registry';
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import { calculateEV, type ScoringRules } from '~/services/ev-calculator';
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import { recalculateStandings } from '~/models/scoring-calculator';
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import { database } from '~/database/context';
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import * as schema from '~/database/schema';
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import { eq } from 'drizzle-orm';
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import { Button } from '~/components/ui/button';
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import { Input } from '~/components/ui/input';
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import { Label } from '~/components/ui/label';
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import { Textarea } from '~/components/ui/textarea';
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import {
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Card,
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CardContent,
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CardDescription,
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CardHeader,
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CardTitle,
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} from '~/components/ui/card';
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import { useEffect, useRef, useState } from 'react';
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import { Loader2, CheckCircle2, AlertCircle, UserPlus } from 'lucide-react';
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import { normalizeName, diceCoefficient } from '~/lib/fuzzy-match';
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const DEFAULT_SCORING_RULES: ScoringRules = {
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pointsFor1st: 100,
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pointsFor2nd: 70,
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pointsFor3rd: 45,
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pointsFor4th: 45,
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pointsFor5th: 20,
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pointsFor6th: 20,
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pointsFor7th: 20,
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pointsFor8th: 20,
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};
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export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
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return [{ title: `Golf Skills — ${data?.sportsSeason?.name ?? 'Sports Season'} - Brackt Admin` }];
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}
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export async function loader({ params }: Route.LoaderArgs) {
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const sportsSeasonId = params.id;
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const sportsSeason = await findSportsSeasonById(sportsSeasonId);
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if (!sportsSeason) {
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throw new Response('Sports season not found', { status: 404 });
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}
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const [participants, existingSkills] = await Promise.all([
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findParticipantsBySportsSeasonId(sportsSeasonId),
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getGolfSkillsForSeason(sportsSeasonId),
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]);
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const skillsMap: Record<
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string,
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{ sgTotal: string; datagolfRank: string; mastersOdds: string; usOpenOdds: string; openChampionshipOdds: string; pgaChampionshipOdds: string }
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> = {};
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for (const r of existingSkills) {
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skillsMap[r.participantId] = {
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sgTotal: r.sgTotal !== null ? String(r.sgTotal) : '',
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datagolfRank: r.datagolfRank !== null ? String(r.datagolfRank) : '',
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mastersOdds: r.mastersOdds !== null ? String(r.mastersOdds) : '',
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usOpenOdds: r.usOpenOdds !== null ? String(r.usOpenOdds) : '',
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openChampionshipOdds: r.openChampionshipOdds !== null ? String(r.openChampionshipOdds) : '',
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pgaChampionshipOdds: r.pgaChampionshipOdds !== null ? String(r.pgaChampionshipOdds) : '',
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};
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}
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return { sportsSeason, participants, skillsMap };
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}
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type ActionData =
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| { intent: 'create-participant'; success: true; participant: { id: string; name: string } }
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| { intent: 'create-participant'; success: false; message: string }
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| { success?: boolean; message?: string };
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export async function action({ request, params }: Route.ActionArgs) {
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const sportsSeasonId = params.id;
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const formData = await request.formData();
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const intent = formData.get('intent');
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if (intent === 'create-participant') {
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const name = (formData.get('name') as string)?.trim();
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if (!name) {
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return { intent: 'create-participant', success: false, message: 'Name is required' } satisfies ActionData;
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}
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const existing = await findParticipantByName(sportsSeasonId, name);
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if (existing) {
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return { intent: 'create-participant', success: false, message: `"${name}" already exists in this season.` } satisfies ActionData;
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}
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const participant = await createParticipant({ sportsSeasonId, name });
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return {
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intent: 'create-participant',
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success: true,
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participant: { id: participant.id, name: participant.name },
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} satisfies ActionData;
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}
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const sportsSeason = await findSportsSeasonById(sportsSeasonId);
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if (!sportsSeason) {
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return { success: false, message: 'Sports season not found' };
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}
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if (!sportsSeason.sport?.simulatorType) {
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return { success: false, message: 'This sport has no simulator type configured.' };
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}
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if (sportsSeason.simulationStatus === 'running') {
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return { success: false, message: 'A simulation is already running. Please wait.' };
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}
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const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
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// Parse golf skill fields: sgTotal_{id}, datagolfRank_{id}, mastersOdds_{id}, etc.
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const skillInputs = participants
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.map((p) => ({
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participantId: p.id,
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sportsSeasonId,
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sgTotal: parseDecimalOrNull(formData.get(`sgTotal_${p.id}`) as string),
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datagolfRank: parseIntOrNull(formData.get(`datagolfRank_${p.id}`) as string),
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mastersOdds: parseIntOrNull(formData.get(`mastersOdds_${p.id}`) as string),
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usOpenOdds: parseIntOrNull(formData.get(`usOpenOdds_${p.id}`) as string),
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openChampionshipOdds: parseIntOrNull(formData.get(`openChampionshipOdds_${p.id}`) as string),
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pgaChampionshipOdds: parseIntOrNull(formData.get(`pgaChampionshipOdds_${p.id}`) as string),
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}))
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.filter((r) =>
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r.sgTotal !== null ||
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r.datagolfRank !== null ||
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r.mastersOdds !== null ||
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r.usOpenOdds !== null ||
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r.openChampionshipOdds !== null ||
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r.pgaChampionshipOdds !== null
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);
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if (skillInputs.length === 0) {
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return { success: false, message: 'Please enter at least one skill rating.' };
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}
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await batchUpsertGolfSkills(skillInputs);
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// Auto-run simulation after saving
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'running' });
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try {
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const simulator = getSimulator(sportsSeason.sport.simulatorType as SimulatorType);
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const results = await simulator.simulate(sportsSeasonId);
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if (results.length === 0) {
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throw new Error('Simulation returned no results.');
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}
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const simulatedIds = new Set(results.map((r) => r.participantId));
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const ZERO_PROBS = {
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probFirst: 0, probSecond: 0, probThird: 0, probFourth: 0,
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probFifth: 0, probSixth: 0, probSeventh: 0, probEighth: 0,
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};
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const evInputs = [
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...results.map((r) => ({
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participantId: r.participantId,
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sportsSeasonId,
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probabilities: r.probabilities,
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scoringRules: DEFAULT_SCORING_RULES,
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source: 'performance_model' as const,
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})),
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...participants
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.filter((p) => !simulatedIds.has(p.id))
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.map((p) => ({
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participantId: p.id,
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sportsSeasonId,
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probabilities: ZERO_PROBS,
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scoringRules: DEFAULT_SCORING_RULES,
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source: 'performance_model' as const,
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})),
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];
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await batchUpsertParticipantEVs(evInputs);
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// Refresh projected points in team standings
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const seasonSports = await database().query.seasonSports.findMany({
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where: eq(schema.seasonSports.sportsSeasonId, sportsSeasonId),
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});
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await Promise.all(seasonSports.map(({ seasonId }) => recalculateStandings(seasonId)));
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// EV snapshot
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const today = new Date().toISOString().slice(0, 10);
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await batchUpsertParticipantEvSnapshots(
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results.map((r) => ({
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participantId: r.participantId,
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sportsSeasonId,
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snapshotDate: today,
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probFirst: r.probabilities.probFirst,
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probSecond: r.probabilities.probSecond,
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probThird: r.probabilities.probThird,
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probFourth: r.probabilities.probFourth,
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probFifth: r.probabilities.probFifth,
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probSixth: r.probabilities.probSixth,
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probSeventh: r.probabilities.probSeventh,
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probEighth: r.probabilities.probEighth,
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calculatedEV: calculateEV(r.probabilities, DEFAULT_SCORING_RULES),
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source: r.source,
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}))
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);
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'idle' });
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} catch (error) {
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await updateSportsSeason(sportsSeasonId, { simulationStatus: 'failed' });
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logger.error('Error running golf simulation:', error);
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return {
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success: false,
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message: error instanceof Error ? error.message : 'Simulation failed',
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};
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}
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return redirect(`/admin/sports-seasons/${sportsSeasonId}/expected-values`);
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}
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function parseIntOrNull(val: string | null | undefined): number | null {
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if (!val || val.trim() === '') return null;
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const n = parseInt(val.trim(), 10);
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return isNaN(n) ? null : n;
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}
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function parseDecimalOrNull(val: string | null | undefined): number | null {
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if (!val || val.trim() === '') return null;
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const n = parseFloat(val.trim());
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return isNaN(n) ? null : n;
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}
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type SkillValues = Record<
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string,
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{ sgTotal: string; datagolfRank: string; mastersOdds: string; usOpenOdds: string; openChampionshipOdds: string; pgaChampionshipOdds: string }
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>;
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interface ParsedSkill {
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sgTotal: number | null;
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datagolfRank: number | null;
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mastersOdds: number | null;
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usOpenOdds: number | null;
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openChampionshipOdds: number | null;
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pgaChampionshipOdds: number | null;
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}
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interface MatchedItem extends ParsedSkill {
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participantId: string;
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name: string;
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inputName: string;
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}
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interface Suggestion {
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participantId: string;
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name: string;
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score: number;
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}
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interface UnmatchedItem extends ParsedSkill {
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inputName: string;
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suggestions: Suggestion[];
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}
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interface ParseResults {
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matched: MatchedItem[];
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unmatched: UnmatchedItem[];
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}
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type LocalParticipant = { id: string; name: string };
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export default function AdminSportsSeasonGolfSkills() {
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const { sportsSeason, participants: loaderParticipants, skillsMap } = useLoaderData<typeof loader>();
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const actionData = useActionData<ActionData>();
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const navigation = useNavigation();
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const createFetcher = useFetcher<ActionData>();
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const [localParticipants, setLocalParticipants] = useState<LocalParticipant[]>(loaderParticipants);
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const [skillValues, setSkillValues] = useState<SkillValues>(() => {
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const initial: SkillValues = {};
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loaderParticipants.forEach((p) => {
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const existing = skillsMap[p.id];
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initial[p.id] = existing ?? {
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sgTotal: '', datagolfRank: '', mastersOdds: '', usOpenOdds: '',
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openChampionshipOdds: '', pgaChampionshipOdds: '',
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};
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});
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return initial;
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});
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const [bulkText, setBulkText] = useState('');
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const [parseResults, setParseResults] = useState<ParseResults | null>(null);
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const pendingSkillsByName = useRef<Map<string, ParsedSkill>>(new Map());
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useEffect(() => {
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if (
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createFetcher.state !== 'idle' ||
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!createFetcher.data ||
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!('intent' in createFetcher.data) ||
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createFetcher.data.intent !== 'create-participant' ||
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!createFetcher.data.success
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) return;
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const { participant } = createFetcher.data as Extract<ActionData, { intent: 'create-participant'; success: true }>;
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setLocalParticipants((prev) => {
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if (prev.some((p) => p.id === participant.id)) return prev;
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return [...prev, participant];
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});
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const pending = pendingSkillsByName.current.get(participant.name);
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if (pending) {
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setSkillValues((prev) => ({
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...prev,
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[participant.id]: {
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sgTotal: pending.sgTotal !== null ? String(pending.sgTotal) : '',
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datagolfRank: pending.datagolfRank !== null ? String(pending.datagolfRank) : '',
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mastersOdds: pending.mastersOdds !== null ? String(pending.mastersOdds) : '',
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usOpenOdds: pending.usOpenOdds !== null ? String(pending.usOpenOdds) : '',
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openChampionshipOdds: pending.openChampionshipOdds !== null ? String(pending.openChampionshipOdds) : '',
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pgaChampionshipOdds: pending.pgaChampionshipOdds !== null ? String(pending.pgaChampionshipOdds) : '',
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},
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}));
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pendingSkillsByName.current.delete(participant.name);
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}
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setParseResults((prev) => {
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if (!prev) return prev;
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return { ...prev, unmatched: prev.unmatched.filter((u) => u.inputName !== participant.name) };
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});
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}, [createFetcher.state, createFetcher.data]);
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function findParticipantMatch(inputName: string, pool: LocalParticipant[]) {
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const normalizedInput = normalizeName(inputName);
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const normalized = pool.map((p) => ({ p, n: normalizeName(p.name) }));
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const exact = normalized.find(({ n }) => n === normalizedInput);
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if (exact) return exact.p;
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const contains = normalized.find(({ n }) => n.includes(normalizedInput) || normalizedInput.includes(n));
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if (contains) return contains.p;
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const inputWords = normalizedInput.split(' ').filter((w) => w.length > 2);
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const overlap = normalized.find(({ n }) => {
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const pWords = n.split(' ').filter((w) => w.length > 2);
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const shared = inputWords.filter((w) => pWords.includes(w));
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return shared.length > 0 && shared.length >= Math.min(inputWords.length, pWords.length) * 0.5;
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});
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return overlap?.p ?? null;
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}
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function getFuzzySuggestions(inputName: string, pool: LocalParticipant[], exclude: Set<string>): Suggestion[] {
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const normalizedInput = normalizeName(inputName);
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return pool
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.filter((p) => !exclude.has(p.id))
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.map((p) => ({ participantId: p.id, name: p.name, score: diceCoefficient(normalizedInput, normalizeName(p.name)) }))
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.filter((s) => s.score >= 0.3)
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.toSorted((a, b) => b.score - a.score)
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.slice(0, 3);
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}
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/**
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* Parse bulk import text.
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* Format (CSV, one per line): Player Name, SG_Total
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* Optional additional columns: Player Name, SG_Total, Masters, USOpen, TheOpen, PGA
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*/
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function parseBulkText() {
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const lines = bulkText.split('\n');
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const matched: MatchedItem[] = [];
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const unmatched: UnmatchedItem[] = [];
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const seen = new Set<string>();
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for (const line of lines) {
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const trimmed = line.trim();
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if (!trimmed) continue;
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const parts = trimmed.split(/[,\t]/).map((s) => s.trim());
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if (parts.length < 2) continue;
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const inputName = parts[0];
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const sgTotal = parts[1] ? parseDecimalOrNull(parts[1]) : null;
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const mastersOdds = parts[2] ? parseIntOrNull(parts[2]) : null;
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const usOpenOdds = parts[3] ? parseIntOrNull(parts[3]) : null;
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const openChampionshipOdds = parts[4] ? parseIntOrNull(parts[4]) : null;
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const pgaChampionshipOdds = parts[5] ? parseIntOrNull(parts[5]) : null;
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if (sgTotal === null && mastersOdds === null) continue; // no useful data
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const skill: ParsedSkill = {
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sgTotal,
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datagolfRank: null,
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mastersOdds,
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usOpenOdds,
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openChampionshipOdds,
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pgaChampionshipOdds,
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};
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const participant = findParticipantMatch(inputName, localParticipants);
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if (participant && !seen.has(participant.id)) {
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seen.add(participant.id);
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matched.push({ participantId: participant.id, name: participant.name, inputName, ...skill });
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} else {
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const suggestions = getFuzzySuggestions(inputName, localParticipants, seen);
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unmatched.push({ inputName, suggestions, ...skill });
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}
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}
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setParseResults({ matched, unmatched });
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}
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function assignSuggestion(item: UnmatchedItem, suggestion: Suggestion) {
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setParseResults((prev) => {
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if (!prev) return prev;
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return {
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matched: [
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...prev.matched,
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{ participantId: suggestion.participantId, name: suggestion.name, inputName: item.inputName,
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sgTotal: item.sgTotal, datagolfRank: item.datagolfRank, mastersOdds: item.mastersOdds,
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usOpenOdds: item.usOpenOdds, openChampionshipOdds: item.openChampionshipOdds,
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pgaChampionshipOdds: item.pgaChampionshipOdds },
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],
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unmatched: prev.unmatched.filter((u) => u.inputName !== item.inputName),
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};
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});
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}
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function handleCreateParticipant(item: UnmatchedItem) {
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pendingSkillsByName.current.set(item.inputName, {
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sgTotal: item.sgTotal, datagolfRank: item.datagolfRank, mastersOdds: item.mastersOdds,
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usOpenOdds: item.usOpenOdds, openChampionshipOdds: item.openChampionshipOdds,
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pgaChampionshipOdds: item.pgaChampionshipOdds,
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});
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const fd = new FormData();
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fd.set('intent', 'create-participant');
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fd.set('name', item.inputName);
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createFetcher.submit(fd, { method: 'post' });
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}
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function applyMatches() {
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if (!parseResults) return;
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const newValues = { ...skillValues };
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for (const m of parseResults.matched) {
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newValues[m.participantId] = {
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sgTotal: m.sgTotal !== null ? String(m.sgTotal) : '',
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datagolfRank: m.datagolfRank !== null ? String(m.datagolfRank) : '',
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mastersOdds: m.mastersOdds !== null ? String(m.mastersOdds) : '',
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usOpenOdds: m.usOpenOdds !== null ? String(m.usOpenOdds) : '',
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||
openChampionshipOdds: m.openChampionshipOdds !== null ? String(m.openChampionshipOdds) : '',
|
||
pgaChampionshipOdds: m.pgaChampionshipOdds !== null ? String(m.pgaChampionshipOdds) : '',
|
||
};
|
||
}
|
||
setSkillValues(newValues);
|
||
setParseResults(null);
|
||
setBulkText('');
|
||
}
|
||
|
||
const setField = (participantId: string, field: keyof SkillValues[string], value: string) => {
|
||
setSkillValues((prev) => ({
|
||
...prev,
|
||
[participantId]: { ...prev[participantId], [field]: value },
|
||
}));
|
||
};
|
||
|
||
const isSubmitting = navigation.state === 'submitting';
|
||
|
||
return (
|
||
<div className="container mx-auto py-8">
|
||
<div className="mb-8">
|
||
<h1 className="text-3xl font-bold mb-2">Golf Skills</h1>
|
||
<p className="text-muted-foreground">
|
||
{sportsSeason.sport.name} — {sportsSeason.name}
|
||
</p>
|
||
</div>
|
||
|
||
{/* Bulk Import */}
|
||
<Card className="mb-6">
|
||
<CardHeader>
|
||
<CardTitle>Bulk Import</CardTitle>
|
||
<CardDescription>
|
||
Paste one player per line. Format:{' '}
|
||
<code>Player Name, SG_Total</code>
|
||
{' '}(optional extras: <code>Masters odds, US Open odds, Open Championship odds, PGA odds</code>).
|
||
American odds format (e.g. 400 for +400). Player names are fuzzy-matched to participants.
|
||
</CardDescription>
|
||
</CardHeader>
|
||
<CardContent className="space-y-4">
|
||
<Textarea
|
||
placeholder={`Scottie Scheffler, 2.91\nRory McIlroy, 2.45, 450, 600, 350, 800\nXander Schauffele, 2.12`}
|
||
value={bulkText}
|
||
onChange={(e) => { setBulkText(e.target.value); setParseResults(null); }}
|
||
rows={8}
|
||
className="font-mono text-sm"
|
||
/>
|
||
<Button type="button" variant="outline" onClick={parseBulkText} disabled={!bulkText.trim()}>
|
||
Parse Players
|
||
</Button>
|
||
|
||
{parseResults && (
|
||
<div className="space-y-3">
|
||
{parseResults.matched.length > 0 && (
|
||
<div>
|
||
<div className="flex items-center gap-2 text-sm font-medium text-emerald-400 mb-2">
|
||
<CheckCircle2 className="h-4 w-4" />
|
||
Matched ({parseResults.matched.length})
|
||
</div>
|
||
<div className="rounded-md border border-emerald-500/30 bg-emerald-500/10 divide-y divide-emerald-500/20 text-sm">
|
||
{parseResults.matched.map((m) => (
|
||
<div key={m.participantId} className="flex justify-between px-3 py-1.5 gap-4">
|
||
<span className="text-muted-foreground">{m.inputName}</span>
|
||
<span className="font-medium">
|
||
{m.name} → SG: {m.sgTotal ?? '—'}
|
||
{m.mastersOdds ? ` | Masters: +${m.mastersOdds}` : ''}
|
||
</span>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{parseResults.unmatched.length > 0 && (
|
||
<div>
|
||
<div className="flex items-center gap-2 text-sm font-medium text-amber-400 mb-2">
|
||
<AlertCircle className="h-4 w-4" />
|
||
Not matched ({parseResults.unmatched.length})
|
||
</div>
|
||
<div className="rounded-md border border-amber-500/30 bg-amber-500/10 divide-y divide-amber-500/20 text-sm">
|
||
{parseResults.unmatched.map((u) => {
|
||
const isCreating =
|
||
createFetcher.state !== 'idle' &&
|
||
pendingSkillsByName.current.has(u.inputName);
|
||
return (
|
||
<div key={u.inputName} className="px-3 py-2 space-y-2">
|
||
<div className="font-medium text-amber-300">{u.inputName}</div>
|
||
{u.suggestions.length > 0 ? (
|
||
<div className="space-y-1">
|
||
<div className="text-xs text-muted-foreground">Did you mean…</div>
|
||
{u.suggestions.map((s) => (
|
||
<div key={s.participantId} className="flex items-center gap-2">
|
||
<Button
|
||
type="button"
|
||
size="sm"
|
||
variant="outline"
|
||
className="h-6 text-xs px-2"
|
||
onClick={() => assignSuggestion(u, s)}
|
||
>
|
||
Use this
|
||
</Button>
|
||
<span className="text-muted-foreground">{s.name}</span>
|
||
<span className="text-xs text-muted-foreground/60">
|
||
({Math.round(s.score * 100)}% match)
|
||
</span>
|
||
</div>
|
||
))}
|
||
<Button
|
||
type="button"
|
||
size="sm"
|
||
variant="ghost"
|
||
className="h-6 text-xs px-2 text-amber-400 hover:text-amber-300"
|
||
disabled={isCreating}
|
||
onClick={() => handleCreateParticipant(u)}
|
||
>
|
||
{isCreating ? (
|
||
<><Loader2 className="mr-1 h-3 w-3 animate-spin" /> Creating…</>
|
||
) : (
|
||
<><UserPlus className="mr-1 h-3 w-3" /> Create new participant</>
|
||
)}
|
||
</Button>
|
||
</div>
|
||
) : (
|
||
<div className="flex items-center gap-2">
|
||
<span className="text-xs text-muted-foreground">No close matches found.</span>
|
||
<Button
|
||
type="button"
|
||
size="sm"
|
||
variant="outline"
|
||
className="h-6 text-xs px-2"
|
||
disabled={isCreating}
|
||
onClick={() => handleCreateParticipant(u)}
|
||
>
|
||
{isCreating ? (
|
||
<><Loader2 className="mr-1 h-3 w-3 animate-spin" /> Creating…</>
|
||
) : (
|
||
<><UserPlus className="mr-1 h-3 w-3" /> Create participant</>
|
||
)}
|
||
</Button>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
)}
|
||
|
||
{parseResults.matched.length > 0 && (
|
||
<Button type="button" onClick={applyMatches}>
|
||
Apply {parseResults.matched.length} matched players to form
|
||
</Button>
|
||
)}
|
||
</div>
|
||
)}
|
||
</CardContent>
|
||
</Card>
|
||
|
||
<div className="grid gap-6 lg:grid-cols-3">
|
||
<div className="lg:col-span-2">
|
||
<Card>
|
||
<CardHeader>
|
||
<CardTitle>Player Golf Skills</CardTitle>
|
||
<CardDescription>
|
||
Enter SG: Total (strokes gained per round vs. field average, e.g. 2.5) and
|
||
optionally per-major American odds. Saving will run the simulation and update
|
||
expected values. Leave fields blank to use field-average (SG = 0).
|
||
</CardDescription>
|
||
</CardHeader>
|
||
<CardContent>
|
||
<Form method="post" className="space-y-4">
|
||
<div className="space-y-1">
|
||
<div className="grid grid-cols-7 gap-2 text-xs font-semibold text-muted-foreground uppercase tracking-wide pb-1 border-b">
|
||
<span className="col-span-2">Player</span>
|
||
<span>SG Total</span>
|
||
<span>Masters</span>
|
||
<span>US Open</span>
|
||
<span>The Open</span>
|
||
<span>PGA</span>
|
||
</div>
|
||
|
||
{localParticipants.map((p) => (
|
||
<div key={p.id} className="grid grid-cols-7 gap-2 items-center py-1">
|
||
<Label htmlFor={`sgTotal_${p.id}`} className="col-span-2 truncate text-sm">
|
||
{p.name}
|
||
</Label>
|
||
<Input
|
||
type="number"
|
||
step="0.01"
|
||
id={`sgTotal_${p.id}`}
|
||
name={`sgTotal_${p.id}`}
|
||
placeholder="2.50"
|
||
value={skillValues[p.id]?.sgTotal ?? ''}
|
||
onChange={(e) => setField(p.id, 'sgTotal', e.target.value)}
|
||
className="h-8 text-sm"
|
||
/>
|
||
{(['mastersOdds', 'usOpenOdds', 'openChampionshipOdds', 'pgaChampionshipOdds'] as const).map((field) => (
|
||
<Input
|
||
key={field}
|
||
type="number"
|
||
name={`${field}_${p.id}`}
|
||
placeholder="400"
|
||
value={skillValues[p.id]?.[field] ?? ''}
|
||
onChange={(e) => setField(p.id, field, e.target.value)}
|
||
className="h-8 text-sm"
|
||
/>
|
||
))}
|
||
{/* Hidden rank field */}
|
||
<input type="hidden" name={`datagolfRank_${p.id}`} value={skillValues[p.id]?.datagolfRank ?? ''} />
|
||
</div>
|
||
))}
|
||
</div>
|
||
|
||
{actionData && !('intent' in actionData) && !actionData.success && actionData.message && (
|
||
<div className="text-sm text-destructive">{actionData.message}</div>
|
||
)}
|
||
|
||
<Button type="submit" disabled={isSubmitting}>
|
||
{isSubmitting && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
|
||
{isSubmitting ? 'Saving & Running Simulation...' : 'Save Skills & Run Simulation'}
|
||
</Button>
|
||
</Form>
|
||
</CardContent>
|
||
</Card>
|
||
</div>
|
||
|
||
<Card>
|
||
<CardHeader>
|
||
<CardTitle>How It Works</CardTitle>
|
||
</CardHeader>
|
||
<CardContent className="text-sm space-y-2 text-muted-foreground">
|
||
<ol className="list-decimal list-inside space-y-2">
|
||
<li>Enter SG: Total for each player (strokes gained per round vs. average field)</li>
|
||
<li>Optionally enter American odds per major (e.g. 400 for +400) for players without SG data</li>
|
||
<li>For each of 10,000 simulations, simulate each incomplete major using a Plackett-Luce model</li>
|
||
<li>A synthetic rest-of-field fills the 156-player field at SG = 0 (average)</li>
|
||
<li>QP awarded per finishing position per the season QP config (1st = 20, 2nd = 14, etc.)</li>
|
||
<li>Players ranked by total QP across all 4 majors</li>
|
||
<li>Placement probabilities (1st–8th) determine expected fantasy value</li>
|
||
</ol>
|
||
<div className="mt-4 text-xs space-y-1">
|
||
<div className="font-medium text-foreground">SG: Total reference points:</div>
|
||
<div>+3.0 → Elite (≈5% win prob per major)</div>
|
||
<div>+2.0 → Very good (≈2.6% win prob)</div>
|
||
<div>+1.0 → Good (≈1.3% win prob)</div>
|
||
<div>0.0 → Field average (≈0.6% win prob)</div>
|
||
</div>
|
||
</CardContent>
|
||
</Card>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|