Introduces three new schema tables (simulator_profiles, sports_season_simulator_configs, season_participant_simulator_inputs), a central model layer (app/models/simulator.ts), and a single runner entry point so every simulator run follows the same prepare → simulate → persist → snapshot → recalculate flow. Key additions: - manifest.ts: per-simulator display names, default configs, required/ optional inputs, derivable-input declarations, and setup sections - input-policy.ts: resolves sourceElo from projectedWins, projectedTablePoints, or sourceOdds; resolves ratings from sourceOdds; supports block / fallbackElo / averageKnown / worstKnownMinus strategies - runner.ts: single entry point for admin simulation runs; materialises derived inputs, normalises result columns, zeroes omitted participants, snapshots EVs, and recalculates linked fantasy standings - /admin/simulators: inventory page with per-season readiness and bulk run - /admin/sports-seasons/:id/simulator: per-season setup page with readiness summary, input-policy editor, raw JSON config override, and CSV bulk input - NCAAM/NCAAW simulators now read ratings from season_participant_simulator_inputs, falling back to the hardcoded name-keyed maps while DB data is being populated - Clone flow copies simulator config by default; volatile inputs (odds, Elo) only copied when explicitly requested Code-review fixes included in this commit: - source field in compatibility bridge checked with !== null instead of !== undefined - sourceEloRequirementLabel no longer appends "configured fallback" when the participant is already excluded from all resolved sources - Duplicate inline label maps in input-policy.ts replaced with simulatorInputLabel - save-config preserves existing inputPolicy when the submitted JSON omits it - Input table truncation label added (Showing 20 of N) - CSV description notes values must not contain commas - N+1 comment added to listSportsSeasonSimulatorSummaries - assertRegistrySchemaDriftFree called in manifest tests - Runner test suite added covering happy path, already-running guard, readiness failure, empty results, and error recovery with status reset Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
172 lines
6.1 KiB
TypeScript
172 lines
6.1 KiB
TypeScript
import { eq } from "drizzle-orm";
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import { database } from "~/database/context";
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import * as schema from "~/database/schema";
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import { DEFAULT_SCORING_RULES } from "~/lib/scoring-types";
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import type { ScoringRules } from "~/services/ev-calculator";
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import { batchUpsertParticipantEvSnapshots } from "~/models/ev-snapshot";
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import { batchUpsertParticipantEVs } from "~/models/participant-expected-value";
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import { recalculateStandings } from "~/models/scoring-calculator";
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import { findParticipantsBySportsSeasonId } from "~/models/season-participant";
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import { findSportsSeasonById, updateSportsSeason } from "~/models/sports-season";
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import { calculateEV } from "~/services/ev-calculator";
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import { getSimulator, type SimulatorType } from "~/services/simulations/registry";
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import { normalizeSimulationResultColumns } from "~/services/simulations/simulation-probabilities";
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import {
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getSportsSeasonSimulatorConfig,
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prepareSimulatorInputsForRun,
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validateSimulatorReadiness,
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} from "~/models/simulator";
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const ZERO_PROBS = {
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probFirst: 0,
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probSecond: 0,
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probThird: 0,
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probFourth: 0,
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probFifth: 0,
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probSixth: 0,
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probSeventh: 0,
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probEighth: 0,
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};
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async function getPersistenceContext(
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simulatorType: SimulatorType,
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sportsSeason: Awaited<ReturnType<typeof findSportsSeasonById>>
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): Promise<{ scoringRules: ScoringRules; source: "elo_simulation" | "performance_model" }> {
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if (simulatorType !== "brackt") {
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return { scoringRules: DEFAULT_SCORING_RULES, source: "elo_simulation" };
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}
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if (!sportsSeason?.fantasySeasonId) {
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throw new Error("Brackt simulations must run against a private per-league sports season, not the global Brackt template.");
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}
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const fantasySeason = await database().query.seasons.findFirst({
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where: eq(schema.seasons.id, sportsSeason.fantasySeasonId),
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});
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if (!fantasySeason) {
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throw new Error("Linked fantasy season not found for Brackt simulation.");
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}
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return {
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source: "performance_model",
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scoringRules: {
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pointsFor1st: fantasySeason.pointsFor1st,
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pointsFor2nd: fantasySeason.pointsFor2nd,
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pointsFor3rd: fantasySeason.pointsFor3rd,
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pointsFor4th: fantasySeason.pointsFor4th,
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pointsFor5th: fantasySeason.pointsFor5th,
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pointsFor6th: fantasySeason.pointsFor6th,
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pointsFor7th: fantasySeason.pointsFor7th,
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pointsFor8th: fantasySeason.pointsFor8th,
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},
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};
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}
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export interface RunSportsSeasonSimulationResult {
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sportsSeasonId: string;
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simulatorType: SimulatorType;
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simulatedParticipants: number;
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zeroedParticipants: number;
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snapshotDate: string;
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}
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export async function runSportsSeasonSimulation(
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sportsSeasonId: string
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): Promise<RunSportsSeasonSimulationResult> {
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const sportsSeason = await findSportsSeasonById(sportsSeasonId);
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if (!sportsSeason) {
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throw new Error("Sports season not found");
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}
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const simulatorConfig = await getSportsSeasonSimulatorConfig(sportsSeasonId);
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if (!simulatorConfig) {
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throw new Error(
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"This sport has no simulator type configured. Set a simulator type on the sport in the admin panel before running a simulation."
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);
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}
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if (sportsSeason.simulationStatus === "running") {
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throw new Error("A simulation is already running for this sports season. Please wait for it to complete.");
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}
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const readiness = await validateSimulatorReadiness(sportsSeasonId);
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if (!readiness.canRun) {
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throw new Error(
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`Simulator is not ready: ${readiness.missingInputs.join(", ") || "missing required setup"}.`
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);
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}
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await prepareSimulatorInputsForRun(sportsSeasonId);
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await updateSportsSeason(sportsSeasonId, { simulationStatus: "running" });
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try {
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const simulator = getSimulator(simulatorConfig.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. Check that participants have simulator input data.");
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}
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normalizeSimulationResultColumns(results);
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const allSeasonParticipants = await findParticipantsBySportsSeasonId(sportsSeasonId);
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const simulatedIds = new Set(results.map((r) => r.participantId));
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const zeroedParticipants = allSeasonParticipants.filter((p) => !simulatedIds.has(p.id));
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const persistence = await getPersistenceContext(simulatorConfig.simulatorType, sportsSeason);
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await batchUpsertParticipantEVs([
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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: persistence.scoringRules,
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source: persistence.source,
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})),
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...zeroedParticipants.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: persistence.scoringRules,
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source: persistence.source,
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})),
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]);
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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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const snapshotDate = 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,
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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, persistence.scoringRules),
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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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return {
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sportsSeasonId,
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simulatorType: simulatorConfig.simulatorType,
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simulatedParticipants: results.length,
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zeroedParticipants: zeroedParticipants.length,
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snapshotDate,
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};
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} catch (error) {
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await updateSportsSeason(sportsSeasonId, { simulationStatus: "failed" });
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throw error;
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}
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}
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