feat: add syncVorpForSeason and wire into EV update flow
Adds syncVorpForSeason to recalculate and persist VORP for all participants in a season after any EV change. Wires it into upsertParticipantEV, batchUpsertParticipantEVs, and recalculateAllEVsForSeason so VORP stays current whenever EVs are updated. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2 changed files with 162 additions and 2 deletions
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@ -1,4 +1,4 @@
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import { describe, it, expect } from "vitest";
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import { describe, it, expect, vi, beforeEach } from "vitest";
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import type { ProbabilityDistribution, ScoringRules } from "~/services/ev-calculator";
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/**
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@ -11,6 +11,34 @@ import type { ProbabilityDistribution, ScoringRules } from "~/services/ev-calcul
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* Full integration tests are in the E2E test suite.
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*/
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// Mock database context
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const mockUpdate = vi.fn();
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const mockSet = vi.fn();
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const mockWhere = vi.fn();
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const mockDb = {
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update: mockUpdate,
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select: vi.fn(),
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};
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vi.mock("~/database/context", () => ({
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database: () => mockDb,
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}));
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vi.mock("~/database/schema", () => ({
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participants: { id: "id" },
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participantExpectedValues: {
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participantId: "participantId",
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sportsSeasonId: "sportsSeasonId",
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},
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}));
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vi.mock("drizzle-orm", () => ({
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eq: vi.fn((field, value) => ({ field, value })),
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and: vi.fn((...args) => ({ and: args })),
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count: vi.fn(() => ({ count: true })),
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sql: vi.fn(),
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}));
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describe("participant-expected-value model", () => {
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const _defaultScoring: ScoringRules = {
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pointsFor1st: 100,
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@ -126,4 +154,92 @@ describe("participant-expected-value model", () => {
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expect(true).toBe(true);
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});
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});
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describe("syncVorpForSeason", () => {
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beforeEach(() => {
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vi.clearAllMocks();
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});
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it("should calculate correct VORP values for 14 participants with EVs 100 down to 35 (step 5)", async () => {
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// 14 participants: EVs = 100, 95, 90, 85, 80, 75, 70, 65, 60, 55, 50, 45, 40, 35
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// Sorted descending (already sorted)
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// Replacement level = avg of positions 12-14 (0-indexed 11-13) = avg(45, 40, 35) = 40
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// VORP(100) = 60, VORP(35) = -5
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const { calculateReplacementLevel, calculateVORP } = await import("~/services/ev-calculator");
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const evValues = Array.from({ length: 14 }, (_, i) => 100 - i * 5);
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// [100, 95, 90, 85, 80, 75, 70, 65, 60, 55, 50, 45, 40, 35]
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const replacementLevel = calculateReplacementLevel(evValues);
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expect(replacementLevel).toBe(40); // avg(45, 40, 35) = 40
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const vorpFirst = calculateVORP(100, replacementLevel);
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expect(vorpFirst).toBe(60);
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const vorpLast = calculateVORP(35, replacementLevel);
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expect(vorpLast).toBe(-5);
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});
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it("should return early when no EVs exist for the season", async () => {
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// Re-mock getAllParticipantEVsForSeason to return empty array
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// The function should do nothing and return without calling db.update
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const { syncVorpForSeason } = await import("../participant-expected-value");
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// Patch the module's getAllParticipantEVsForSeason to return []
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// Since we can't easily spy on module-internal calls, we verify via db mock:
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// If 0 EVs returned, db.update should not be called
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// Setup: db.select chain for getAllParticipantEVsForSeason returns []
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const mockSelectChain = {
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from: vi.fn().mockReturnThis(),
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where: vi.fn().mockResolvedValue([]),
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};
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mockDb.select = vi.fn().mockReturnValue(mockSelectChain);
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await syncVorpForSeason("season-empty");
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// db.update should NOT have been called (no participants to update)
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expect(mockUpdate).not.toHaveBeenCalled();
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});
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it("should call db.update with correct vorpValue for each participant", async () => {
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const { syncVorpForSeason } = await import("../participant-expected-value");
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// 3 participants with EVs: 100, 70, 40
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// sorted: [100, 70, 40]
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// replacement level = avg of positions 12-14, but only 3 participants
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// startIdx = min(11, 2) = 2, endIdx = min(13, 2) = 2 → slice = [40]
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// replacementLevel = 40
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// VORP: 100→60, 70→30, 40→0
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const mockEvRecords = [
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{ participantId: "p1", expectedValue: "100", sportsSeasonId: "season-1" },
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{ participantId: "p2", expectedValue: "70", sportsSeasonId: "season-1" },
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{ participantId: "p3", expectedValue: "40", sportsSeasonId: "season-1" },
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];
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const mockSelectChain = {
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from: vi.fn().mockReturnThis(),
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where: vi.fn().mockResolvedValue(mockEvRecords),
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};
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mockDb.select = vi.fn().mockReturnValue(mockSelectChain);
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const mockWhereResolved = vi.fn().mockResolvedValue([]);
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mockSet.mockReturnValue({ where: mockWhereResolved });
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mockUpdate.mockReturnValue({ set: mockSet });
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await syncVorpForSeason("season-1");
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// Should have called db.update 3 times (once per participant)
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expect(mockUpdate).toHaveBeenCalledTimes(3);
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// Verify the set calls include vorpValue
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const setCalls = mockSet.mock.calls;
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const vorpValues = setCalls.map((call) => call[0].vorpValue);
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expect(vorpValues).toContain("60.0000");
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expect(vorpValues).toContain("30.0000");
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expect(vorpValues).toContain("0.0000");
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});
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});
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});
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@ -9,7 +9,7 @@ import { database } from "~/database/context";
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import { participantExpectedValues, participants } from "~/database/schema";
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import { eq, and, count, sql } from "drizzle-orm";
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import type { ProbabilityDistribution, ScoringRules } from "~/services/ev-calculator";
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import { calculateEV, normalizeProbabilities } from "~/services/ev-calculator";
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import { calculateEV, normalizeProbabilities, calculateReplacementLevel, calculateVORP } from "~/services/ev-calculator";
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export type ProbabilitySource = "manual" | "futures_odds" | "elo_simulation" | "performance_model";
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@ -49,6 +49,40 @@ export interface UpdateProbabilityInput {
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source?: ProbabilitySource;
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}
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/**
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* Recalculate and persist VORP for every participant in a sports season.
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*
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* VORP = participant EV − replacement level EV
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* Replacement level = average EV of participants ranked 12th–14th in this season.
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*
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* Call this after any operation that changes EVs for participants in the season.
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*/
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export async function syncVorpForSeason(sportsSeasonId: string): Promise<void> {
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const db = database();
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const allEvs = await getAllParticipantEVsForSeason(sportsSeasonId);
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if (allEvs.length === 0) return;
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const sorted = [...allEvs].sort(
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(a, b) => parseFloat(b.expectedValue) - parseFloat(a.expectedValue)
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);
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const sortedEvNumbers = sorted.map((ev) => parseFloat(ev.expectedValue));
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const replacementLevel = calculateReplacementLevel(sortedEvNumbers);
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const now = new Date();
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await Promise.all(
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sorted.map((ev) => {
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const vorp = calculateVORP(parseFloat(ev.expectedValue), replacementLevel);
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return db
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.update(participants)
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.set({ vorpValue: vorp.toFixed(4), updatedAt: now })
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.where(eq(participants.id, ev.participantId));
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})
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);
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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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@ -145,6 +179,9 @@ export async function upsertParticipantEV(
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.set({ expectedValue: expectedValue.toString(), updatedAt: now })
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.where(eq(participants.id, participantId));
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// Recalculate VORP for all participants in this season (replacement level may have shifted)
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await syncVorpForSeason(sportsSeasonId);
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return result;
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}
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@ -306,6 +343,10 @@ export async function batchUpsertParticipantEVs(
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}
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});
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// Sync VORP for all affected seasons
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const uniqueSeasonIds = [...new Set(inputs.map((i) => i.sportsSeasonId))];
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await Promise.all(uniqueSeasonIds.map((id) => syncVorpForSeason(id)));
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return results;
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}
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@ -478,5 +519,8 @@ export async function recalculateAllEVsForSeason(
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)
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);
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// Sync VORP once after all EVs are updated
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await syncVorpForSeason(sportsSeasonId);
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return allEVs.length;
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}
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