2025-11-17 22:19:46 -08:00
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/**
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* Model for Participant Expected Values
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*
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* Manages probability distributions and calculated EVs for participants
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* in sports seasons.
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*/
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import { database } from "~/database/context";
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import { participantExpectedValues } from "~/database/schema";
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import { eq, and } from "drizzle-orm";
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import type { ProbabilityDistribution, ScoringRules } from "~/services/ev-calculator";
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import { calculateEV, validateProbabilities, normalizeProbabilities } from "~/services/ev-calculator";
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export type ProbabilitySource = "manual" | "futures_odds" | "elo_simulation" | "performance_model";
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export interface ParticipantEV {
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id: string;
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participantId: string;
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sportsSeasonId: string;
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probFirst: string;
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probSecond: string;
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probThird: string;
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probFourth: string;
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probFifth: string;
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probSixth: string;
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probSeventh: string;
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probEighth: string;
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expectedValue: string;
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source: ProbabilitySource | null;
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sourceOdds: number | null;
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calculatedAt: Date;
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updatedAt: Date;
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}
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export interface CreateProbabilityInput {
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participantId: string;
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sportsSeasonId: string;
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probabilities: ProbabilityDistribution;
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scoringRules: ScoringRules;
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source?: ProbabilitySource;
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sourceOdds?: number; // American odds if source is futures_odds
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}
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export interface UpdateProbabilityInput {
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probabilities: ProbabilityDistribution;
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scoringRules: ScoringRules;
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source?: ProbabilitySource;
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}
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/**
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* Create or update participant probabilities and calculate EV
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*
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* @param input - Probabilities, scoring rules, and metadata
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* @returns Created/updated participant EV record
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2025-11-21 22:05:50 -08:00
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* @throws Error if probabilities don't sum to 1.0 (within tolerance)
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2025-11-17 22:19:46 -08:00
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*/
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export async function upsertParticipantEV(
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input: CreateProbabilityInput
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): Promise<ParticipantEV> {
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const { participantId, sportsSeasonId, probabilities, scoringRules, source = "manual", sourceOdds } = input;
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2025-11-21 22:05:50 -08:00
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// Validate probabilities (only for manual entry)
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// For futures_odds/ICM, probabilities may sum to <1.0 for teams unlikely to finish top 8
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if (source === "manual" && !validateProbabilities(probabilities)) {
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const sum = Object.values(probabilities).reduce((a, b) => a + b, 0);
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2025-11-17 22:19:46 -08:00
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throw new Error(
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2025-11-21 22:05:50 -08:00
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`Probabilities must sum to 1.0 (±0.01). Current sum: ${sum.toFixed(4)} (${(sum * 100).toFixed(1)}%)`
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);
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}
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// Always validate probabilities don't exceed 1.0
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const sum = Object.values(probabilities).reduce((a, b) => a + b, 0);
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if (sum > 1.01) {
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throw new Error(
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`Probabilities cannot sum to more than 1.0. Current sum: ${sum.toFixed(4)} (${(sum * 100).toFixed(1)}%)`
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2025-11-17 22:19:46 -08:00
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);
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}
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// Calculate EV
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const expectedValue = calculateEV(probabilities, scoringRules);
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const db = database();
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// Check if record exists
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const existing = await db
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.select()
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.from(participantExpectedValues)
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.where(
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and(
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eq(participantExpectedValues.participantId, participantId),
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eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
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)
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)
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.limit(1);
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const now = new Date();
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if (existing.length > 0) {
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// Update existing
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const updated = await db
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.update(participantExpectedValues)
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.set({
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probFirst: probabilities.probFirst.toString(),
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probSecond: probabilities.probSecond.toString(),
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probThird: probabilities.probThird.toString(),
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probFourth: probabilities.probFourth.toString(),
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probFifth: probabilities.probFifth.toString(),
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probSixth: probabilities.probSixth.toString(),
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probSeventh: probabilities.probSeventh.toString(),
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probEighth: probabilities.probEighth.toString(),
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expectedValue: expectedValue.toString(),
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source,
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sourceOdds: sourceOdds ?? null,
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calculatedAt: now,
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updatedAt: now,
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})
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.where(eq(participantExpectedValues.id, existing[0].id))
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.returning();
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return updated[0];
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} else {
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// Create new
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const created = await db
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.insert(participantExpectedValues)
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.values({
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participantId,
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sportsSeasonId,
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probFirst: probabilities.probFirst.toString(),
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probSecond: probabilities.probSecond.toString(),
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probThird: probabilities.probThird.toString(),
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probFourth: probabilities.probFourth.toString(),
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probFifth: probabilities.probFifth.toString(),
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probSixth: probabilities.probSixth.toString(),
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probSeventh: probabilities.probSeventh.toString(),
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probEighth: probabilities.probEighth.toString(),
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expectedValue: expectedValue.toString(),
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source,
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sourceOdds: sourceOdds ?? null,
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calculatedAt: now,
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updatedAt: now,
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})
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.returning();
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return created[0];
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}
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}
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/**
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* Create or update with auto-normalization
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* Automatically normalizes probabilities if they don't sum to 100%
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*/
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export async function upsertParticipantEVWithNormalization(
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input: CreateProbabilityInput
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): Promise<ParticipantEV> {
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const normalized = normalizeProbabilities(input.probabilities);
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return upsertParticipantEV({
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...input,
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probabilities: normalized,
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});
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}
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/**
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* Get participant EV for a specific sports season
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*/
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export async function getParticipantEV(
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participantId: string,
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sportsSeasonId: string
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): Promise<ParticipantEV | null> {
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const db = database();
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const result = await db
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.select()
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.from(participantExpectedValues)
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.where(
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and(
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eq(participantExpectedValues.participantId, participantId),
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eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
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)
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)
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.limit(1);
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return result[0] || null;
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}
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/**
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* Get all participant EVs for a sports season
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*/
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export async function getAllParticipantEVsForSeason(
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sportsSeasonId: string
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): Promise<ParticipantEV[]> {
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const db = database();
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return db
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.select()
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.from(participantExpectedValues)
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.where(eq(participantExpectedValues.sportsSeasonId, sportsSeasonId));
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}
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/**
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* Delete participant EV
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*/
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export async function deleteParticipantEV(
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participantId: string,
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sportsSeasonId: string
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): Promise<void> {
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const db = database();
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await db
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.delete(participantExpectedValues)
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.where(
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and(
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eq(participantExpectedValues.participantId, participantId),
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eq(participantExpectedValues.sportsSeasonId, sportsSeasonId)
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)
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);
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}
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/**
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* Batch upsert multiple participant EVs
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* Useful for updating all participants after generating probabilities
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*/
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export async function batchUpsertParticipantEVs(
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inputs: CreateProbabilityInput[]
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): Promise<ParticipantEV[]> {
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const results: ParticipantEV[] = [];
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// Process in batches to avoid overwhelming the database
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const batchSize = 50;
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for (let i = 0; i < inputs.length; i += batchSize) {
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const batch = inputs.slice(i, i + batchSize);
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const batchResults = await Promise.all(
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batch.map((input) => upsertParticipantEV(input))
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);
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results.push(...batchResults);
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}
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return results;
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}
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/**
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* Convert database record to ProbabilityDistribution
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*/
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export function toProbabilityDistribution(ev: ParticipantEV): ProbabilityDistribution {
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return {
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probFirst: parseFloat(ev.probFirst),
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probSecond: parseFloat(ev.probSecond),
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probThird: parseFloat(ev.probThird),
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probFourth: parseFloat(ev.probFourth),
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probFifth: parseFloat(ev.probFifth),
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probSixth: parseFloat(ev.probSixth),
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probSeventh: parseFloat(ev.probSeventh),
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probEighth: parseFloat(ev.probEighth),
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};
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}
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/**
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* Recalculate EV for a participant with new scoring rules
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* Keeps probabilities the same, only updates EV based on new scoring
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*/
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export async function recalculateEV(
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participantId: string,
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sportsSeasonId: string,
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newScoringRules: ScoringRules
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): Promise<ParticipantEV | null> {
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const existing = await getParticipantEV(participantId, sportsSeasonId);
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if (!existing) {
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return null;
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}
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const probabilities = toProbabilityDistribution(existing);
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const newEV = calculateEV(probabilities, newScoringRules);
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const db = database();
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const updated = await db
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.update(participantExpectedValues)
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.set({
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expectedValue: newEV.toString(),
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calculatedAt: new Date(),
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updatedAt: new Date(),
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})
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.where(eq(participantExpectedValues.id, existing.id))
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.returning();
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return updated[0];
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}
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/**
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* Recalculate EVs for all participants in a sports season
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* Used when scoring rules change
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*/
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export async function recalculateAllEVsForSeason(
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sportsSeasonId: string,
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newScoringRules: ScoringRules
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): Promise<number> {
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const allEVs = await getAllParticipantEVsForSeason(sportsSeasonId);
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await Promise.all(
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allEVs.map((ev) =>
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recalculateEV(ev.participantId, sportsSeasonId, newScoringRules)
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)
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);
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return allEVs.length;
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}
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