* refactor(schema): rename per-window tables to season_* prefix Renames participants, participant_expected_values, participant_qualifying_totals, participant_results, participant_surface_elos to season_* prefixed names. Renames event_results.participant_id to season_participant_id. Phase 1a of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor: rename participant.ts model file to season-participant.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(models): update model layer to use renamed schema exports Updated all model files to use the renamed schema exports from Task 1: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantQualifyingTotals → seasonParticipantQualifyingTotals - participantResults → seasonParticipantResults - participantSurfaceElos → seasonParticipantSurfaceElos - eventResults.participantId → eventResults.seasonParticipantId - db.query relation accessors updated - Relation field .participant → .seasonParticipant where applicable - Import paths updated: ./participant → ./season-participant Files updated (14 model files + 3 test files): - draft-pick.ts - draft-utils.ts - event-result.ts - group-stage-match.ts - participant-result.ts - qualifying-points.ts - scoring-calculator.ts - scoring-event.ts - sports-season.ts - surface-elo.ts - team-score-events.ts - cs2-major-stage.ts - golf-skills.ts - participant-expected-value.ts - __tests__/sports-season.clone.test.ts - __tests__/auto-pick.test.ts - __tests__/executeAutoPick.timer.test.ts Typecheck errors decreased: 779 → 499 (280 fewer) All model file errors related to renamed schemas resolved. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route layer to use renamed schema exports - Update model import from ~/models/participant to ~/models/season-participant - Rename schema.participants to schema.seasonParticipants - Rename schema.participantResults to schema.seasonParticipantResults - Rename db.query.participants to db.query.seasonParticipants - Update 9 route files and 1 test file Affected files: - admin.sports-seasons.$id.events.$eventId.bracket.server.ts - admin.sports-seasons.$id.participants.tsx - api/draft.force-manual-pick.ts - api/draft.make-pick.ts - api/draft.replace-pick.ts - api/seasons.$seasonId.draft.ts - leagues/$leagueId.draft-board.$seasonId.tsx - leagues/$leagueId.sports-seasons.$sportsSeasonId.server.ts - admin/__tests__/sports-seasons-participants.test.ts Error count reduced from 499 to 453 (46 errors fixed). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(routes): update route files for schema rename Update route imports from ~/models/participant to ~/models/season-participant and fix references to .participant/.participantId on event results to use .seasonParticipant/.seasonParticipantId after schema rename. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(services): update simulators and services for renamed schema Update all simulators, services, and server files to use renamed schema tables: - participants → seasonParticipants - participantExpectedValues → seasonParticipantExpectedValues - participantResults → seasonParticipantResults - eventResults.participantId → eventResults.seasonParticipantId Files updated: - 20 sport simulators (NBA, NHL, NFL, MLB, etc.) - probability-updater.ts - standings-sync/index.ts - sports-data-sync.server.ts - server/socket.ts Typecheck errors reduced from 365 to 0. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: rename per-window tables to season_* prefix * fix(tests): update mock query keys after participants table rename Change mock db.query.participants to db.query.seasonParticipants in test files to match the schema rename from commit66145a9. This fixes "Cannot read properties of undefined (reading 'findFirst'/'findMany')" errors that occurred when production code queries db.query.seasonParticipants but test mocks only defined the old participants key. Files updated: - app/services/simulations/__tests__/world-cup-simulator.test.ts - app/routes/api/__tests__/draft.force-manual-pick.test.ts - app/routes/api/__tests__/draft.force-manual-pick.timer-mode.test.ts - app/routes/api/__tests__/draft.make-pick.timer-mode.test.ts - server/__tests__/timer-autodraft.test.ts - app/models/__tests__/team-score-events.test.ts Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(tests): update remaining mock paths and keys after schema rename * fix(tests): final two mock stragglers after schema rename - draft-pick.test.ts: assertion on db.query.participantQualifyingTotals - process-match-result.test.ts: mock key participants → seasonParticipants Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: add post-phase1a baseline capture (temp, for diff verification) * chore: capture pre-migration baselines * chore: remove post-phase1a capture helper after verification * schema: add canonical tournament & participant tables Adds tournaments, participants (canonical), tournament_results, and participant_surface_elos (canonical). Adds nullable tournament_id to scoring_events and nullable participant_id to season_participants. Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(models): add canonical tournament, participant, result, surface-elo models Adds CRUD modules for the canonical tables created in commit775b905. Each module mirrors existing app/models conventions (database() from ~/database/context, schema from ~/database/schema, mock-based tests). Key implementation notes: - participant.ts exports use "Canonical" prefix (CanonicalParticipant, createCanonicalParticipant, etc.) to avoid collision with existing season-participant.ts exports - All four models include comprehensive unit tests following the audit-log.test.ts pattern - Tests use mocked db responses (no real database access) - Upsert functions use onConflictDoUpdate for appropriate unique constraints Part of Phase 1b of canonical tournament layer migration. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * migration: create canonical tables, add nullable FKs * scripts: add extractTournamentIdentity helper for backfill Pure function that derives canonical (name, year) identity from a scoring_events row, stripping trailing 4-digit years from the name or falling back to eventDate. Used by the Phase 2 backfill to group per-window events into canonical tournaments. * scripts: add backfill orchestrator for canonical layer Populates canonical tournaments, participants, tournament_results, and participant_surface_elos from per-window data for qualifying-points sports. Skips already-linked rows, is idempotent, and supports dry-run mode. Critical invariants enforced by the implementation: - qualifying_points_awarded is never copied to tournament_results - season_participant_qualifying_totals is never touched - conflicting surface-Elo values between windows raise a loud error (recorded in report.errors) rather than overwriting * scripts: add backfill CLI with dry-run default Wires backfill-canonical-layer.ts to a CLI entry point exposed as `npm run backfill:canonical`. Defaults to --dry-run; requires --apply to actually write. Supports --sport=<uuid> to limit to a single sport. Exits 2 if the backfill reports errors (e.g., surface-Elo conflicts). * fix(backfill-cli): wrap runBackfill in DatabaseContext.run The orchestrator uses database() from ~/database/context, which requires AsyncLocalStorage to be populated. Wrap the CLI invocation with DatabaseContext.run(db, ...) using server/db's cached connection pool. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(backfill-cli): exit 0 on success so pg pool doesn't block The cached postgres connection pool keeps the Node event loop open after main() returns. Explicit process.exit(0) on success mirrors the pattern in scripts/capture-baseline.ts. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Chris Parsons <chrisp@extrahop.com> Co-authored-by: Claude Opus 4.7 <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/season-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);
|
||
const overlap = normalized.find(({ n }) => {
|
||
const pWords = n.split(' ').filter((w) => w.length > 2);
|
||
const shared = inputWords.filter((w) => pWords.includes(w));
|
||
return shared.length > 0 && shared.length >= Math.min(inputWords.length, pWords.length) * 0.5;
|
||
});
|
||
|
||
return overlap?.p ?? null;
|
||
}
|
||
|
||
function getFuzzySuggestions(inputName: string, pool: LocalParticipant[], exclude: Set<string>): Suggestion[] {
|
||
const normalizedInput = normalizeName(inputName);
|
||
return pool
|
||
.filter((p) => !exclude.has(p.id))
|
||
.map((p) => ({ participantId: p.id, name: p.name, score: diceCoefficient(normalizedInput, normalizeName(p.name)) }))
|
||
.filter((s) => s.score >= 0.3)
|
||
.toSorted((a, b) => b.score - a.score)
|
||
.slice(0, 3);
|
||
}
|
||
|
||
/**
|
||
* Parse bulk import text.
|
||
* Format (CSV, one per line): Player Name, SG_Total
|
||
* Optional additional columns: Player Name, SG_Total, Masters, USOpen, TheOpen, PGA
|
||
*/
|
||
function parseBulkText() {
|
||
const lines = bulkText.split('\n');
|
||
const matched: MatchedItem[] = [];
|
||
const unmatched: UnmatchedItem[] = [];
|
||
const seen = new Set<string>();
|
||
|
||
for (const line of lines) {
|
||
const trimmed = line.trim();
|
||
if (!trimmed) continue;
|
||
|
||
const parts = trimmed.split(/[,\t]/).map((s) => s.trim());
|
||
if (parts.length < 2) continue;
|
||
|
||
const inputName = parts[0];
|
||
const sgTotal = parts[1] ? parseDecimalOrNull(parts[1]) : null;
|
||
const mastersOdds = parts[2] ? parseIntOrNull(parts[2]) : null;
|
||
const usOpenOdds = parts[3] ? parseIntOrNull(parts[3]) : null;
|
||
const openChampionshipOdds = parts[4] ? parseIntOrNull(parts[4]) : null;
|
||
const pgaChampionshipOdds = parts[5] ? parseIntOrNull(parts[5]) : null;
|
||
|
||
if (sgTotal === null && mastersOdds === null) continue; // no useful data
|
||
|
||
const skill: ParsedSkill = {
|
||
sgTotal,
|
||
datagolfRank: null,
|
||
mastersOdds,
|
||
usOpenOdds,
|
||
openChampionshipOdds,
|
||
pgaChampionshipOdds,
|
||
};
|
||
|
||
const participant = findParticipantMatch(inputName, localParticipants);
|
||
if (participant && !seen.has(participant.id)) {
|
||
seen.add(participant.id);
|
||
matched.push({ participantId: participant.id, name: participant.name, inputName, ...skill });
|
||
} else {
|
||
const suggestions = getFuzzySuggestions(inputName, localParticipants, seen);
|
||
unmatched.push({ inputName, suggestions, ...skill });
|
||
}
|
||
}
|
||
|
||
setParseResults({ matched, unmatched });
|
||
}
|
||
|
||
function assignSuggestion(item: UnmatchedItem, suggestion: Suggestion) {
|
||
setParseResults((prev) => {
|
||
if (!prev) return prev;
|
||
return {
|
||
matched: [
|
||
...prev.matched,
|
||
{ participantId: suggestion.participantId, name: suggestion.name, inputName: item.inputName,
|
||
sgTotal: item.sgTotal, datagolfRank: item.datagolfRank, mastersOdds: item.mastersOdds,
|
||
usOpenOdds: item.usOpenOdds, openChampionshipOdds: item.openChampionshipOdds,
|
||
pgaChampionshipOdds: item.pgaChampionshipOdds },
|
||
],
|
||
unmatched: prev.unmatched.filter((u) => u.inputName !== item.inputName),
|
||
};
|
||
});
|
||
}
|
||
|
||
function handleCreateParticipant(item: UnmatchedItem) {
|
||
pendingSkillsByName.current.set(item.inputName, {
|
||
sgTotal: item.sgTotal, datagolfRank: item.datagolfRank, mastersOdds: item.mastersOdds,
|
||
usOpenOdds: item.usOpenOdds, openChampionshipOdds: item.openChampionshipOdds,
|
||
pgaChampionshipOdds: item.pgaChampionshipOdds,
|
||
});
|
||
const fd = new FormData();
|
||
fd.set('intent', 'create-participant');
|
||
fd.set('name', item.inputName);
|
||
createFetcher.submit(fd, { method: 'post' });
|
||
}
|
||
|
||
function applyMatches() {
|
||
if (!parseResults) return;
|
||
const newValues = { ...skillValues };
|
||
for (const m of parseResults.matched) {
|
||
newValues[m.participantId] = {
|
||
sgTotal: m.sgTotal !== null ? String(m.sgTotal) : '',
|
||
datagolfRank: m.datagolfRank !== null ? String(m.datagolfRank) : '',
|
||
mastersOdds: m.mastersOdds !== null ? String(m.mastersOdds) : '',
|
||
usOpenOdds: m.usOpenOdds !== null ? String(m.usOpenOdds) : '',
|
||
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>
|
||
);
|
||
}
|