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>
68 lines
3.1 KiB
TypeScript
68 lines
3.1 KiB
TypeScript
import { describe, expect, it } from "vitest";
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import { resolveRatings, resolveSourceElos } from "../input-policy";
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import type { SimulatorManifestProfile } from "../manifest";
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const profile = {
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derivableInputs: { sourceElo: ["projectedWins", "sourceOdds"] },
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} as Pick<SimulatorManifestProfile, "derivableInputs">;
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describe("simulator input policy", () => {
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it("keeps direct Elo ahead of derived values", () => {
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const resolved = resolveSourceElos(
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[{ participantId: "team-1", sourceElo: 1600, rating: null, sourceOdds: 2000, projectedWins: 20, projectedTablePoints: null }],
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profile,
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{ seasonGames: 82 }
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);
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expect(resolved.get("team-1")).toMatchObject({ sourceElo: 1600, method: "direct" });
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});
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it("derives Elo from projected wins when Elo is missing", () => {
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const resolved = resolveSourceElos(
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[{ participantId: "team-1", sourceElo: null, rating: null, sourceOdds: null, projectedWins: 60, projectedTablePoints: null }],
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profile,
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{ seasonGames: 82, parityFactor: 400 }
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);
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expect(resolved.get("team-1")?.method).toBe("projectedWins");
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expect(resolved.get("team-1")?.sourceElo).toBeGreaterThan(1500);
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});
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it("blocks missing Elo unless a fallback strategy is configured", () => {
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const inputs = [{ participantId: "team-1", sourceElo: null, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null }];
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expect(resolveSourceElos(inputs, profile, {}).has("team-1")).toBe(false);
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expect(resolveSourceElos(inputs, profile, {
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inputPolicy: { missingEloStrategy: "fallbackElo", fallbackElo: 1375 },
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}).get("team-1")).toMatchObject({ sourceElo: 1375, method: "fallbackElo" });
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});
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it("supports worst-known-minus tail fallback", () => {
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const resolved = resolveSourceElos(
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[
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{ participantId: "known-1", sourceElo: 1500, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null },
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{ participantId: "known-2", sourceElo: 1430, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null },
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{ participantId: "tail", sourceElo: null, rating: null, sourceOdds: null, projectedWins: null, projectedTablePoints: null },
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],
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profile,
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{ inputPolicy: { missingEloStrategy: "worstKnownMinus", fallbackEloDelta: 30 } }
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);
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expect(resolved.get("tail")).toMatchObject({ sourceElo: 1400, method: "worstKnownMinus" });
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});
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it("derives ratings from futures odds when the profile allows it", () => {
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const resolved = resolveRatings(
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[
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{ participantId: "favorite", sourceElo: null, rating: null, sourceOdds: 300, projectedWins: null, projectedTablePoints: null },
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{ participantId: "longshot", sourceElo: null, rating: null, sourceOdds: 20000, projectedWins: null, projectedTablePoints: null },
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],
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{ derivableInputs: { rating: ["sourceOdds"] } },
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{ inputPolicy: { ratingMin: -10, ratingMax: 35 } }
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);
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expect(resolved.get("favorite")?.method).toBe("sourceOdds");
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expect(resolved.get("longshot")?.method).toBe("sourceOdds");
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expect(resolved.get("favorite")?.rating).toBeGreaterThan(resolved.get("longshot")?.rating ?? 999);
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});
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});
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