Introduces three new schema tables (simulator_profiles, sports_season_simulator_configs, season_participant_simulator_inputs), a central model layer (app/models/simulator.ts), and a single runner entry point so every simulator run follows the same prepare → simulate → persist → snapshot → recalculate flow. Key additions: - manifest.ts: per-simulator display names, default configs, required/ optional inputs, derivable-input declarations, and setup sections - input-policy.ts: resolves sourceElo from projectedWins, projectedTablePoints, or sourceOdds; resolves ratings from sourceOdds; supports block / fallbackElo / averageKnown / worstKnownMinus strategies - runner.ts: single entry point for admin simulation runs; materialises derived inputs, normalises result columns, zeroes omitted participants, snapshots EVs, and recalculates linked fantasy standings - /admin/simulators: inventory page with per-season readiness and bulk run - /admin/sports-seasons/:id/simulator: per-season setup page with readiness summary, input-policy editor, raw JSON config override, and CSV bulk input - NCAAM/NCAAW simulators now read ratings from season_participant_simulator_inputs, falling back to the hardcoded name-keyed maps while DB data is being populated - Clone flow copies simulator config by default; volatile inputs (odds, Elo) only copied when explicitly requested Code-review fixes included in this commit: - source field in compatibility bridge checked with !== null instead of !== undefined - sourceEloRequirementLabel no longer appends "configured fallback" when the participant is already excluded from all resolved sources - Duplicate inline label maps in input-policy.ts replaced with simulatorInputLabel - save-config preserves existing inputPolicy when the submitted JSON omits it - Input table truncation label added (Showing 20 of N) - CSV description notes values must not contain commas - N+1 comment added to listSportsSeasonSimulatorSummaries - assertRegistrySchemaDriftFree called in manifest tests - Runner test suite added covering happy path, already-running guard, readiness failure, empty results, and error recovery with status reset Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
368 lines
14 KiB
TypeScript
368 lines
14 KiB
TypeScript
import { Form, redirect, useLoaderData, useActionData, useNavigation } from 'react-router';
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import type { Route } from './+types/admin.sports-seasons.$id.futures-odds';
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import { logger } from '~/lib/logger';
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import { findSportsSeasonById } from '~/models/sports-season';
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import { findParticipantsBySportsSeasonId } from '~/models/season-participant';
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import { getAllParticipantEVsForSeason, batchSaveSourceOdds } from '~/models/participant-expected-value';
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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 { useState } from 'react';
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import { Loader2, Info, CheckCircle2, AlertCircle } from 'lucide-react';
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import { runSportsSeasonSimulation } from '~/services/simulations/runner';
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export function meta({ data }: Route.MetaArgs): Route.MetaDescriptors {
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return [{ title: `Futures Odds — ${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 = await findParticipantsBySportsSeasonId(sportsSeasonId);
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const existingEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
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// Show any saved odds regardless of what simulation ran afterwards
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const existingOdds = new Map(
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existingEVs
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.filter(ev => ev.sourceOdds !== null)
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.map(ev => [ev.participantId, ev.sourceOdds])
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);
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return {
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sportsSeason,
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participants,
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existingOdds,
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};
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}
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interface ActionData {
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success?: boolean;
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message?: string;
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}
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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 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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const participants = await findParticipantsBySportsSeasonId(sportsSeasonId);
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// Parse odds from form
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const futuresOdds: Array<{ participantId: string; odds: number; name: string }> = [];
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for (const participant of participants) {
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const oddsValue = formData.get(`odds_${participant.id}`) as string;
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if (oddsValue && oddsValue.trim() !== '') {
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const odds = Number(oddsValue);
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if (!isNaN(odds)) {
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futuresOdds.push({
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participantId: participant.id,
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odds,
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name: participant.name,
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});
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}
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}
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}
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if (futuresOdds.length === 0) {
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return { success: false, message: 'Please enter odds for at least one participant' };
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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. Set one on the sport in the admin panel.' };
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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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try {
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// Persist the odds first so the simulator can read them.
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await batchSaveSourceOdds(
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futuresOdds.map(({ participantId, odds }) => ({ participantId, sportsSeasonId, sourceOdds: odds }))
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);
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await runSportsSeasonSimulation(sportsSeasonId);
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} catch (error) {
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logger.error('Error running 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 normalizeName(name: string): string {
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return name.toLowerCase().replace(/[^a-z0-9\s]/g, '').replace(/\s+/g, ' ').trim();
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}
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export default function AdminSportsSeasonFuturesOdds() {
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const { sportsSeason, participants, existingOdds } = useLoaderData<typeof loader>();
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const actionData = useActionData<ActionData>();
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const navigation = useNavigation();
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// Initialize odds values from existing data
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const [oddsValues, setOddsValues] = useState<Record<string, string>>(() => {
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const initial: Record<string, string> = {};
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participants.forEach(p => {
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const existingOdd = existingOdds.get(p.id);
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if (existingOdd !== undefined && existingOdd !== null) {
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initial[p.id] = existingOdd.toString();
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}
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});
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return initial;
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});
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// Bulk import state
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const [bulkText, setBulkText] = useState('');
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const [parseResults, setParseResults] = useState<{
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matched: Array<{ participantId: string; name: string; odds: number; inputName: string }>;
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unmatched: Array<{ inputName: string; odds: number }>;
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} | null>(null);
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function findParticipantMatch(inputName: string) {
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const normalizedInput = normalizeName(inputName);
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const normalized = participants.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 parseBulkText() {
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const lines = bulkText.split('\n');
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const oddsPattern = /^(.+?)\s+([+-]\d{2,6})\s*$/;
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const matched: Array<{ participantId: string; name: string; odds: number; inputName: string }> = [];
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const unmatched: Array<{ inputName: string; odds: number }> = [];
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const seenParticipants = 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 || trimmed.length < 3) continue;
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const match = oddsPattern.exec(trimmed);
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if (!match) continue;
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const inputName = match[1].trim();
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const odds = parseInt(match[2], 10);
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if (isNaN(odds)) continue;
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const participant = findParticipantMatch(inputName);
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if (participant && !seenParticipants.has(participant.id)) {
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seenParticipants.add(participant.id);
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matched.push({ participantId: participant.id, name: participant.name, odds, inputName });
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} else if (!participant) {
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unmatched.push({ inputName, odds });
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}
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}
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setParseResults({ matched, unmatched });
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}
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function applyMatches() {
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if (!parseResults) return;
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const newOdds = { ...oddsValues };
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for (const m of parseResults.matched) {
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newOdds[m.participantId] = m.odds.toString();
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}
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setOddsValues(newOdds);
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setParseResults(null);
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setBulkText('');
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}
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const isSubmitting = navigation.state === 'submitting';
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return (
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<div className="container mx-auto py-8">
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<div className="mb-8">
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<h1 className="text-3xl font-bold mb-2">Futures Odds Entry</h1>
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<p className="text-muted-foreground">
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{sportsSeason.sport.name} - {sportsSeason.name}
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</p>
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</div>
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{/* Bulk Import */}
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<Card className="mb-6">
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<CardHeader>
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<CardTitle>Bulk Import</CardTitle>
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<CardDescription>
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Paste odds from FanDuel, DraftKings, OddsChecker, or any site. Each line should end with
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American odds (e.g. <code>Kansas City Chiefs +450</code>). Team names are fuzzy-matched to
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participants.
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</CardDescription>
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</CardHeader>
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<CardContent className="space-y-4">
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<Textarea
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placeholder={`Paste odds here, one team per line:\nKansas City Chiefs +450\nSan Francisco 49ers +600\nBaltimore Ravens +700`}
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value={bulkText}
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onChange={e => { setBulkText(e.target.value); setParseResults(null); }}
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rows={8}
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className="font-mono text-sm"
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/>
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<Button type="button" variant="outline" onClick={parseBulkText} disabled={!bulkText.trim()}>
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Parse Odds
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</Button>
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{parseResults && (
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<div className="space-y-3">
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{parseResults.matched.length > 0 && (
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<div>
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<div className="flex items-center gap-2 text-sm font-medium text-emerald-400 mb-2">
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<CheckCircle2 className="h-4 w-4" />
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Matched ({parseResults.matched.length})
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</div>
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<div className="rounded-md border border-emerald-500/30 bg-emerald-500/10 divide-y divide-emerald-500/20 text-sm">
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{parseResults.matched.map(m => (
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<div key={m.participantId} className="flex justify-between px-3 py-1.5">
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<span className="text-muted-foreground">{m.inputName}</span>
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<span className="font-medium">
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{m.name} → {m.odds > 0 ? '+' : ''}{m.odds}
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</span>
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</div>
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))}
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</div>
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</div>
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)}
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{parseResults.unmatched.length > 0 && (
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<div>
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<div className="flex items-center gap-2 text-sm font-medium text-amber-700 mb-2">
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<AlertCircle className="h-4 w-4" />
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Not matched ({parseResults.unmatched.length}) — enter manually below
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</div>
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<div className="rounded-md border border-amber-200 bg-amber-50 divide-y divide-amber-100 text-sm">
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{parseResults.unmatched.map((u) => (
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<div key={u.inputName} className="flex justify-between px-3 py-1.5">
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<span>{u.inputName}</span>
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<span className="font-medium">{u.odds > 0 ? '+' : ''}{u.odds}</span>
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</div>
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))}
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</div>
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</div>
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)}
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{parseResults.matched.length === 0 && parseResults.unmatched.length === 0 && (
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<p className="text-sm text-muted-foreground">No odds found. Make sure each line ends with a value like +450 or -200.</p>
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)}
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{parseResults.matched.length > 0 && (
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<Button type="button" onClick={applyMatches}>
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Apply {parseResults.matched.length} matched odds to form
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</Button>
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)}
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</div>
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)}
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</CardContent>
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</Card>
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<div className="grid gap-6 lg:grid-cols-2">
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<div>
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<Card>
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<CardHeader>
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<CardTitle>Championship Futures Odds</CardTitle>
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<CardDescription>
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Enter American odds (e.g., +550, -200) for each participant's championship probability.
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Enter American odds, then run the ICM simulation to compute and save probability distributions.
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</CardDescription>
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</CardHeader>
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<CardContent>
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<Form method="post" className="space-y-4">
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<div className="space-y-3">
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{participants.map((participant) => (
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<div key={participant.id} className="grid grid-cols-2 gap-4 items-center">
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<Label htmlFor={`odds_${participant.id}`}>{participant.name}</Label>
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<Input
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type="number"
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id={`odds_${participant.id}`}
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name={`odds_${participant.id}`}
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placeholder="+550"
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value={oddsValues[participant.id] ?? ''}
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onChange={(e) =>
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setOddsValues((prev) => ({
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...prev,
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[participant.id]: e.target.value,
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}))
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}
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/>
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</div>
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))}
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</div>
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<div className="bg-muted p-4 rounded-lg space-y-2">
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<div className="flex items-center gap-2 font-medium">
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<Info className="h-4 w-4" />
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ICM Calculation
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</div>
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<div className="space-y-1 text-sm">
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<div>Uses Independent Chip Model from poker tournaments</div>
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<div>Works with any number of participants</div>
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<div className="text-xs text-muted-foreground mt-2">
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Every team gets probabilities for 1st-8th place, even longshots.
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</div>
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</div>
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</div>
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{actionData && !actionData.success && actionData.message && (
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<div className="text-sm text-destructive">{actionData.message}</div>
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)}
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<Button type="submit" disabled={isSubmitting}>
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{isSubmitting && <Loader2 className="mr-2 h-4 w-4 animate-spin" />}
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{isSubmitting ? 'Running...' : 'Run Simulation'}
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</Button>
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</Form>
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</CardContent>
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</Card>
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<Card className="mt-4">
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<CardHeader>
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<CardTitle>How It Works</CardTitle>
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</CardHeader>
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<CardContent className="text-sm space-y-2">
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<ol className="list-decimal list-inside space-y-2">
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<li>Converts American odds to championship win probabilities</li>
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<li>Removes bookmaker vig (normalizes to 100%)</li>
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<li>Uses ICM algorithm to distribute probabilities across all placements</li>
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<li>Generates probability distribution (1st through 8th place) for ALL participants</li>
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<li>Even teams with +100000 odds get non-zero probabilities</li>
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</ol>
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</CardContent>
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</Card>
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</div>
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</div>
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</div>
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);
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}
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