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>
258 lines
8.3 KiB
TypeScript
258 lines
8.3 KiB
TypeScript
import { database } from "~/database/context";
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import * as schema from "~/database/schema";
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import { eq, inArray, desc, sql, and } from "drizzle-orm";
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import { calculateBracketPoints, type ScoringRules } from "~/models/scoring-rules";
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import { logger } from "~/lib/logger";
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/**
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* Low-level primitive: writes one team_score_events row with an explicit pointsDelta.
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* participantIds are captured at write time so attribution is accurate regardless
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* of future match results.
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*
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* When matchId is provided (bracket sports), one row is written per match using
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* a partial unique index on (teamId, seasonId, matchId). When matchId is absent
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* (non-bracket fallback), one row per (teamId, seasonId, scoringEventId) is used.
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*
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* For bracket sports, prefer calling recordMatchScoreEvents instead — it computes
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* the exact per-season delta from scoring rules rather than requiring the caller
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* to supply a pre-computed pointsDelta.
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*/
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export async function recordTeamScoreEvent(
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params: {
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teamId: string;
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seasonId: string;
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scoringEventId: string;
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scoringEventName: string | null;
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sportName: string | null;
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participantIds: string[];
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pointsDelta: number;
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occurredAt?: Date;
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matchId?: string;
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},
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providedDb?: ReturnType<typeof database>
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): Promise<void> {
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const db = providedDb || database();
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const values = {
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teamId: params.teamId,
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seasonId: params.seasonId,
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scoringEventId: params.scoringEventId,
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scoringEventName: params.scoringEventName,
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sportName: params.sportName,
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matchId: params.matchId ?? null,
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participantIds: params.participantIds,
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pointsDelta: params.pointsDelta.toString(),
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occurredAt: params.occurredAt ?? new Date(),
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};
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if (params.matchId) {
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// Per-match path: unique on (teamId, seasonId, matchId) WHERE matchId IS NOT NULL
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await db
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.insert(schema.teamScoreEvents)
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.values(values)
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.onConflictDoUpdate({
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target: [
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schema.teamScoreEvents.teamId,
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schema.teamScoreEvents.seasonId,
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schema.teamScoreEvents.matchId,
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],
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targetWhere: sql`match_id IS NOT NULL`,
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set: {
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participantIds: params.participantIds,
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pointsDelta: params.pointsDelta.toString(),
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},
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});
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} else {
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// Event-level fallback: unique on (teamId, seasonId, scoringEventId) WHERE matchId IS NULL
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await db
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.insert(schema.teamScoreEvents)
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.values(values)
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.onConflictDoUpdate({
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target: [
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schema.teamScoreEvents.teamId,
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schema.teamScoreEvents.seasonId,
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schema.teamScoreEvents.scoringEventId,
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],
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targetWhere: sql`match_id IS NULL`,
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set: {
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participantIds: params.participantIds,
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pointsDelta: params.pointsDelta.toString(),
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},
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});
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}
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}
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/**
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* Records a score event for every fantasy season that uses the given sports season,
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* attributing the exact point delta to the specific match winner.
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*
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* Called from processMatchResult immediately after upsertParticipantResult sets the
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* winner's new floor, so the delta is computed from the exact position change rather
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* than from aggregate before/after standings totals.
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*
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* oldFloor is 0 when the participant had no prior result row (first match win).
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*/
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export async function recordMatchScoreEvents(
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params: {
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participantId: string;
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sportsSeasonId: string;
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oldFloor: number;
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newFloor: number;
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bracketTemplateId: string | null;
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matchId: string;
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eventId: string;
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eventName: string | null;
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},
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providedDb?: ReturnType<typeof database>
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): Promise<void> {
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const db = providedDb || database();
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// Fetch sport name for display (one query, shared across all seasons)
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const sportsSeason = await db.query.sportsSeasons.findFirst({
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where: eq(schema.sportsSeasons.id, params.sportsSeasonId),
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with: { sport: { columns: { name: true } } },
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});
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const sportName = sportsSeason?.sport?.name ?? null;
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// All fantasy seasons that include this sports season
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const seasonSports = await db.query.seasonSports.findMany({
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where: eq(schema.seasonSports.sportsSeasonId, params.sportsSeasonId),
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columns: { seasonId: true },
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});
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if (seasonSports.length === 0) return;
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const seasonIds = seasonSports.map((ss) => ss.seasonId);
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// Batch fetch: which team in each season drafted this participant?
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const picks = await db.query.draftPicks.findMany({
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where: and(
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inArray(schema.draftPicks.seasonId, seasonIds),
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eq(schema.draftPicks.participantId, params.participantId)
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),
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columns: { teamId: true, seasonId: true },
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});
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if (picks.length === 0) return;
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const teamBySeasonId = new Map(picks.map((p) => [p.seasonId, p.teamId]));
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// Batch fetch scoring rules for all seasons in one query
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const seasonRows = await db.query.seasons.findMany({
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where: inArray(schema.seasons.id, seasonIds),
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columns: {
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id: true,
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pointsFor1st: true, pointsFor2nd: true, pointsFor3rd: true,
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pointsFor4th: true, pointsFor5th: true, pointsFor6th: true,
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pointsFor7th: true, pointsFor8th: true,
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},
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});
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const rulesBySeasonId = new Map<string, ScoringRules>(
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seasonRows.map((s) => [s.id, {
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pointsFor1st: s.pointsFor1st, pointsFor2nd: s.pointsFor2nd,
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pointsFor3rd: s.pointsFor3rd, pointsFor4th: s.pointsFor4th,
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pointsFor5th: s.pointsFor5th, pointsFor6th: s.pointsFor6th,
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pointsFor7th: s.pointsFor7th, pointsFor8th: s.pointsFor8th,
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}])
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);
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for (const seasonId of seasonIds) {
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const teamId = teamBySeasonId.get(seasonId);
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if (!teamId) continue;
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const rules = rulesBySeasonId.get(seasonId);
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if (!rules) continue;
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const delta =
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calculateBracketPoints(params.newFloor, rules, params.bracketTemplateId) -
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calculateBracketPoints(params.oldFloor, rules, params.bracketTemplateId);
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if (delta <= 0) continue;
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try {
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await recordTeamScoreEvent(
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{
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teamId,
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seasonId,
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scoringEventId: params.eventId,
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scoringEventName: params.eventName,
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sportName,
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participantIds: [params.participantId],
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pointsDelta: delta,
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matchId: params.matchId,
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},
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db
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);
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} catch (err) {
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logger.error(
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`[TeamScoreEvents] Failed to record match score event for team ${teamId} match ${params.matchId}:`,
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err
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);
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}
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}
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}
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export interface TeamScoreEventEntry {
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id: string;
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teamId: string;
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teamName: string;
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scoringEventId: string | null;
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scoringEventName: string | null;
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sportName: string | null;
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pointsDelta: string;
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occurredAt: Date;
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participants: Array<{ id: string; name: string }>;
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}
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/**
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* Returns the most recent scoring events for a league season, ordered by
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* occurredAt DESC. Participant names are fetched from the stored participantIds.
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*/
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export async function getRecentTeamScoreEvents(
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seasonId: string,
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limit = 10,
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providedDb?: ReturnType<typeof database>
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): Promise<TeamScoreEventEntry[]> {
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const db = providedDb || database();
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const rows = await db.query.teamScoreEvents.findMany({
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where: eq(schema.teamScoreEvents.seasonId, seasonId),
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with: {
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team: { columns: { id: true, name: true } },
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},
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orderBy: [desc(schema.teamScoreEvents.occurredAt)],
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limit,
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});
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if (rows.length === 0) return [];
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// Batch-fetch participant names for all stored participant IDs
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const allParticipantIds = [
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...new Set(rows.flatMap((r) => r.participantIds ?? [])),
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];
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const participantNameById = new Map<string, string>();
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if (allParticipantIds.length > 0) {
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const participantRows = await db.query.seasonParticipants.findMany({
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where: inArray(schema.seasonParticipants.id, allParticipantIds),
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columns: { id: true, name: true },
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});
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for (const p of participantRows) {
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participantNameById.set(p.id, p.name);
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}
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}
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return rows.map((row) => ({
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id: row.id,
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teamId: row.teamId,
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teamName: row.team.name,
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scoringEventId: row.scoringEventId,
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scoringEventName: row.scoringEventName,
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sportName: row.sportName,
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pointsDelta: row.pointsDelta,
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occurredAt: row.occurredAt,
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participants: (row.participantIds ?? [])
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.map((id) => {
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const name = participantNameById.get(id);
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return name ? { id, name } : null;
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})
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.filter((p): p is { id: string; name: string } => p !== null),
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}));
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}
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