/** * Unit tests for src/lib/arenaEloSync.ts * * Uses Node.js native test runner. All external fetch calls are mocked. * DB functions use a real in-memory SQLite instance via node:sqlite (DatabaseSync), * injected through the core module's globalThis.__omnirouteDb singleton. * backupDbFile is called during first sync but safely no-ops (no file on disk). */ import { describe, it, beforeEach, afterEach } from "node:test"; import assert from "node:assert/strict"; import fs from "node:fs"; import os from "node:os"; import path from "node:path"; const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-arena-elo-test-")); process.env.DATA_DIR = TEST_DATA_DIR; const MIGRATION_SQL = fs.readFileSync( path.resolve( import.meta.dirname ?? __dirname, "../../src/lib/db/migrations/097_model_intelligence.sql" ), "utf8" ); import { tryOpenSync } from "../../src/lib/db/adapters/driverFactory"; import type { SqliteAdapter } from "../../src/lib/db/adapters/types"; const core = await import("../../src/lib/db/core.ts"); const { normalizeModelName, transformToModelIntelligence, fetchArenaLeaderboards, syncArenaElo, getArenaEloSyncStatus, initArenaEloSync, stopArenaEloSync, } = await import("../../src/lib/arenaEloSync.ts"); const { setFeatureFlagOverride, removeFeatureFlagOverride } = await import("../../src/lib/db/featureFlags.ts"); import type { ArenaLeaderboardData, ArenaLeaderboardMap, ArenaModelEntry, } from "../../src/lib/arenaEloSync.ts"; const originalFetch = globalThis.fetch; function mockFetch(impl: (url: string, opts?: RequestInit) => Promise): void { globalThis.fetch = impl as typeof fetch; } function restoreFetch(): void { globalThis.fetch = originalFetch; } function jsonResponse(data: unknown, status = 200): Response { return new Response(JSON.stringify(data), { status, headers: { "Content-Type": "application/json" }, }); } function makeModelEntry(overrides: Partial = {}): ArenaModelEntry { return { rank: 1, model: "anthropic/claude-sonnet", vendor: "Anthropic", score: 1350, ci: 10, votes: 5000, license: "proprietary", ...overrides, }; } function makeLeaderboardData( models: ArenaModelEntry[] = [], category = "text" ): ArenaLeaderboardData { return { meta: { leaderboard: category, model_count: models.length }, models, }; } function makeLeaderboardMap( categories: Partial> ): ArenaLeaderboardMap { const map: ArenaLeaderboardMap = {}; for (const [cat, models] of Object.entries(categories)) { map[cat] = makeLeaderboardData(models ?? [], cat); } return map; } let testAdapter: SqliteAdapter; function createTestAdapter(): SqliteAdapter { const patchedSql = MIGRATION_SQL.replace( /\n\s*synced_at TEXT NOT NULL DEFAULT \(datetime\('now'\)\)/, "\n synced_at TEXT NOT NULL" ); const adapter = tryOpenSync(":memory:")!; adapter.exec(` CREATE TABLE IF NOT EXISTS key_value ( namespace TEXT NOT NULL, key TEXT NOT NULL, value TEXT NOT NULL, PRIMARY KEY (namespace, key) ); `); adapter.exec(patchedSql); return adapter; } function countArenaEloEntries(): number { const row = testAdapter .prepare("SELECT COUNT(*) as cnt FROM model_intelligence WHERE source = 'arena_elo'") .get() as Record | undefined; return Number(row?.cnt ?? 0); } function getAllEntries(): Array> { return testAdapter .prepare("SELECT * FROM model_intelligence WHERE source = 'arena_elo' ORDER BY model, category") .all() as Array>; } beforeEach(() => { core.resetDbInstance(); testAdapter = createTestAdapter(); globalThis.__omnirouteDb = testAdapter as never; stopArenaEloSync(); delete process.env.ARENA_ELO_SYNC_ENABLED; }); afterEach(() => { restoreFetch(); stopArenaEloSync(); delete globalThis.__omnirouteDb; delete process.env.ARENA_ELO_SYNC_ENABLED; }); // ═══════════════════════════════════════════════════════════ // 1. normalizeModelName() // ═══════════════════════════════════════════════════════════ describe("normalizeModelName()", () => { it("strips 'anthropic/' vendor prefix", () => { assert.strictEqual( normalizeModelName("anthropic/claude-opus-4-6-thinking"), "claude-opus-4-6-thinking" ); }); it("strips 'openai/' vendor prefix", () => { assert.strictEqual(normalizeModelName("openai/gpt-5.5"), "gpt-5.5"); }); it("strips 'google/' vendor prefix", () => { assert.strictEqual(normalizeModelName("google/gemini-3-flash"), "gemini-3-flash"); }); it("strips 'meta/' vendor prefix", () => { assert.strictEqual(normalizeModelName("meta/llama-4"), "llama-4"); }); it("strips 'deepseek/' vendor prefix", () => { assert.strictEqual(normalizeModelName("deepseek/deepseek-r1"), "deepseek-r1"); }); it("strips 'xai/' vendor prefix", () => { assert.strictEqual(normalizeModelName("xai/grok-4"), "grok-4"); }); it("lowercases the model name", () => { assert.strictEqual(normalizeModelName("Claude-Sonnet-4"), "claude-sonnet-4"); }); it("lowercases vendor prefix before matching", () => { assert.strictEqual(normalizeModelName("OpenAI/GPT-5.5"), "gpt-5.5"); }); it("returns name unchanged when no vendor prefix matches", () => { assert.strictEqual(normalizeModelName("my-custom-model"), "my-custom-model"); }); }); // ═══════════════════════════════════════════════════════════ // 2. transformToModelIntelligence() // ═══════════════════════════════════════════════════════════ describe("transformToModelIntelligence()", () => { it("ELO normalization: 1500 ELO (max) with range 1000-1500 → score ≈ 0.98", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "top-model", score: 1500, votes: 5000, rank: 1 }), makeModelEntry({ model: "low-model", score: 1000, votes: 5000, rank: 2 }), ], }); const entries = transformToModelIntelligence(data); const topEntry = entries.find((e) => e.model === "top-model" && e.category === "default"); assert.ok(topEntry); // taskFit = 0.4 + 0.58 * ((1500-1000) / 500) = 0.98 assert.ok(Math.abs(topEntry.score - 0.98) < 0.001, `got ${topEntry.score}`); }); it("ELO normalization: 1000 ELO (min) with range 1000-1500 → score ≈ 0.40", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "top-model", score: 1500, votes: 5000, rank: 1 }), makeModelEntry({ model: "low-model", score: 1000, votes: 5000, rank: 2 }), ], }); const entries = transformToModelIntelligence(data); const lowEntry = entries.find((e) => e.model === "low-model" && e.category === "default"); assert.ok(lowEntry); // taskFit = 0.4 + 0.58 * ((1000-1000) / 500) = 0.4 assert.ok(Math.abs(lowEntry.score - 0.4) < 0.001, `got ${lowEntry.score}`); }); it("votes < 100 → confidence='low'", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "sparse-model", score: 1200, votes: 50, rank: 5 }), makeModelEntry({ model: "baseline", score: 1100, votes: 5000, rank: 10 }), ], }); const entries = transformToModelIntelligence(data); const entry = entries.find((e) => e.model === "sparse-model" && e.category === "default"); assert.ok(entry); assert.strictEqual(entry.confidence, "low"); }); it("votes >= 1000 → confidence='medium'", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "mid-model", score: 1200, votes: 1500, rank: 3 }), makeModelEntry({ model: "baseline", score: 1100, votes: 5000, rank: 10 }), ], }); const entries = transformToModelIntelligence(data); const entry = entries.find((e) => e.model === "mid-model" && e.category === "default"); assert.ok(entry); assert.strictEqual(entry.confidence, "medium"); }); it("votes >= 5000 → confidence='high'", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "popular-model", score: 1300, votes: 8000, rank: 1 }), makeModelEntry({ model: "baseline", score: 1100, votes: 3000, rank: 5 }), ], }); const entries = transformToModelIntelligence(data); const entry = entries.find((e) => e.model === "popular-model" && e.category === "default"); assert.ok(entry); assert.strictEqual(entry.confidence, "high"); }); it("category mapping: 'text' → [default, review, documentation, debugging]", () => { const data = makeLeaderboardMap({ text: [makeModelEntry({ model: "text-model", score: 1200, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); const categories = entries .filter((e) => e.model === "text-model") .map((e) => e.category) .sort(); assert.deepStrictEqual(categories, ["debugging", "default", "documentation", "review"]); }); it("category mapping: 'code' → [coding]", () => { const data = makeLeaderboardMap({ code: [makeModelEntry({ model: "code-model", score: 1300, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); const categories = entries.filter((e) => e.model === "code-model").map((e) => e.category); assert.deepStrictEqual(categories, ["coding"]); }); it("expires_at is set to ~7 days in the future", () => { const before = Date.now(); const data = makeLeaderboardMap({ text: [makeModelEntry({ model: "test-model", score: 1200, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); const after = Date.now(); const entry = entries.find((e) => e.model === "test-model" && e.category === "default"); assert.ok(entry); assert.ok(entry.expiresAt); const expiresMs = new Date(entry.expiresAt).getTime(); const sevenDaysMs = 7 * 24 * 60 * 60 * 1000; assert.ok(expiresMs >= before + sevenDaysMs - 2000, `expiresAt too early: ${entry.expiresAt}`); assert.ok(expiresMs <= after + sevenDaysMs + 2000, `expiresAt too late: ${entry.expiresAt}`); }); it("source is 'arena_elo' for all entries", () => { const data = makeLeaderboardMap({ text: [makeModelEntry({ model: "test-model", score: 1200, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); for (const entry of entries) { assert.strictEqual(entry.source, "arena_elo"); } }); it("expands model aliases for known models", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "anthropic/claude-opus-4-6-thinking", score: 1400, votes: 5000, rank: 1, }), ], }); const entries = transformToModelIntelligence(data); const models = entries.map((e) => e.model); assert.ok(models.includes("claude-opus-4-6-thinking")); assert.ok(models.includes("claude-opus-4")); assert.ok(models.includes("anthropic/claude-opus-4")); }); it("empty leaderboard → no entries", () => { const data = makeLeaderboardMap({ text: [] }); const entries = transformToModelIntelligence(data); assert.strictEqual(entries.length, 0); }); it("skips unknown leaderboard categories (e.g. vision)", () => { const data = makeLeaderboardMap({ vision: [makeModelEntry({ model: "vision-model", score: 1300, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); assert.strictEqual(entries.length, 0); }); it("preserves eloRaw from the leaderboard", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "test-model", score: 1337, votes: 5000, rank: 1 }), makeModelEntry({ model: "other-model", score: 1100, votes: 3000, rank: 2 }), ], }); const entries = transformToModelIntelligence(data); const entry = entries.find((e) => e.model === "test-model" && e.category === "default"); assert.ok(entry); assert.strictEqual(entry.eloRaw, 1337); }); it("handles single-model leaderboard (eloRange = 1, avoids division by zero)", () => { const data = makeLeaderboardMap({ text: [makeModelEntry({ model: "only-model", score: 1200, votes: 5000, rank: 1 })], }); const entries = transformToModelIntelligence(data); assert.ok(entries.length > 0); const entry = entries.find((e) => e.model === "only-model" && e.category === "default"); assert.ok(entry); assert.ok(Math.abs(entry.score - 0.4) < 0.001); }); it("rounds score to 4 decimal places", () => { const data = makeLeaderboardMap({ text: [ makeModelEntry({ model: "model-a", score: 1300, votes: 200, rank: 1 }), makeModelEntry({ model: "model-b", score: 1000, votes: 200, rank: 2 }), ], }); const entries = transformToModelIntelligence(data); for (const entry of entries) { const str = entry.score.toString(); const dot = str.indexOf("."); if (dot !== -1) { assert.ok(str.length - dot - 1 <= 4, `score ${entry.score} > 4 decimals`); } } }); }); // ═══════════════════════════════════════════════════════════ // 3. fetchArenaLeaderboards() // ═══════════════════════════════════════════════════════════ describe("fetchArenaLeaderboards()", () => { it("successful fetch with valid JSON returns both leaderboards", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "text-model", score: 1200, votes: 5000, rank: 1 })], "text" ); const codeData = makeLeaderboardData( [makeModelEntry({ model: "code-model", score: 1300, votes: 5000, rank: 1 })], "code" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(codeData); return new Response("Not found", { status: 404 }); }); const result = await fetchArenaLeaderboards(); assert.ok(result.text); assert.ok(result.code); assert.strictEqual(result.text.models.length, 1); assert.strictEqual(result.code.models.length, 1); }); it("failed fetch (non-200 status) throws with descriptive message", async () => { mockFetch(async () => { return new Response("Internal Server Error", { status: 500 }); }); await assert.rejects( () => fetchArenaLeaderboards(), (err: unknown) => { assert.ok(err instanceof Error); assert.ok(err.message.includes("All Arena leaderboard fetches failed")); return true; } ); }); it("all fetches fail (network error) → throws", async () => { mockFetch(async () => { throw new Error("Network error: ECONNREFUSED"); }); await assert.rejects( () => fetchArenaLeaderboards(), (err: unknown) => { assert.ok(err instanceof Error); assert.ok(err.message.includes("All Arena leaderboard fetches failed")); return true; } ); }); it("succeeds when one category fails but another succeeds", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "text-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return new Response("Error", { status: 500 }); return new Response("Not found", { status: 404 }); }); const result = await fetchArenaLeaderboards(); assert.ok(result.text); assert.strictEqual(result.code, undefined); }); it("invalid JSON in response → throws when all responses are invalid", async () => { mockFetch(async () => { return new Response("not-json", { status: 200, headers: { "Content-Type": "text/plain" }, }); }); await assert.rejects( () => fetchArenaLeaderboards(), (err: unknown) => { assert.ok(err instanceof Error); assert.ok(err.message.includes("All Arena leaderboard fetches failed")); return true; } ); }); }); // ═══════════════════════════════════════════════════════════ // 4. syncArenaElo() // ═══════════════════════════════════════════════════════════ describe("syncArenaElo()", () => { it("happy path: returns success=true with correct modelCount", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "gpt-5.5", score: 1200, votes: 5000, rank: 1 })], "text" ); const codeData = makeLeaderboardData( [makeModelEntry({ model: "deepseek-r1", score: 1300, votes: 5000, rank: 1 })], "code" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(codeData); return new Response("Not found", { status: 404 }); }); const result = await syncArenaElo(); assert.strictEqual(result.success, true); assert.strictEqual(result.source, "arena_elo"); assert.ok(result.modelCount > 0); const dbCount = countArenaEloEntries(); assert.ok(dbCount > 0); assert.strictEqual(dbCount, result.modelCount); }); it("happy path: entries in DB have correct source and categories", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "unique-test-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); await syncArenaElo(); const entries = getAllEntries().filter((e) => String(e.model) === "unique-test-model"); const categories = entries.map((e) => String(e.category)).sort(); assert.deepStrictEqual(categories, ["debugging", "default", "documentation", "review"]); for (const entry of entries) { assert.strictEqual(entry.source, "arena_elo"); } }); it("dryRun=true → does not call bulkUpsertModelIntelligence", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "test-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); const result = await syncArenaElo(true); assert.strictEqual(result.success, true); assert.ok(result.modelCount > 0); const dbCount = countArenaEloEntries(); assert.strictEqual(dbCount, 0, "dryRun should not write to DB"); }); it("dryRun=true does not update lastSyncTime", async () => { // Reset module-level state by observing that before this test's dryRun, // lastSync should remain unchanged from whatever it was. // Since we can't reset module-level vars, we verify that a dryRun // after a non-dryRun doesn't overwrite the model count. const statusBefore = getArenaEloSyncStatus(); const textData = makeLeaderboardData( [makeModelEntry({ model: "test-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); await syncArenaElo(true); const statusAfter = getArenaEloSyncStatus(); // dryRun should not change the modelCount assert.strictEqual(statusAfter.lastSyncModelCount, statusBefore.lastSyncModelCount); }); it("API failure → returns success=false with error", async () => { mockFetch(async () => { throw new Error("Network down"); }); const result = await syncArenaElo(); assert.strictEqual(result.success, false); assert.strictEqual(result.source, "arena_elo"); assert.strictEqual(result.modelCount, 0); assert.ok(result.error); assert.ok( result.error!.includes("All Arena leaderboard fetches failed"), `unexpected: ${result.error}` ); }); it("calls deleteExpiredIntelligence before writing new entries", async () => { testAdapter .prepare( "INSERT INTO model_intelligence (model, source, category, score, elo_raw, confidence, synced_at, expires_at) VALUES (?, ?, ?, ?, ?, ?, ?, ?)" ) .run( "old-model", "arena_elo", "default", 0.5, 1000, "low", "2025-01-01T00:00:00Z", "2020-01-01T00:00:00Z" ); assert.strictEqual(countArenaEloEntries(), 1); const textData = makeLeaderboardData( [makeModelEntry({ model: "new-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); const syncResult = await syncArenaElo(); assert.strictEqual(syncResult.success, true); const expiredEntry = testAdapter .prepare("SELECT * FROM model_intelligence WHERE model = 'old-model'") .get(); assert.strictEqual(expiredEntry, undefined); }); it("handles empty leaderboard gracefully (0 entries, no DB write)", async () => { mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(makeLeaderboardData([], "text")); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); const result = await syncArenaElo(); assert.strictEqual(result.success, true); assert.strictEqual(result.modelCount, 0); assert.strictEqual(countArenaEloEntries(), 0); }); it("updates lastSyncTime after successful sync", async () => { const textData = makeLeaderboardData( [makeModelEntry({ model: "test-model", score: 1200, votes: 5000, rank: 1 })], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); await syncArenaElo(); const status = getArenaEloSyncStatus(); assert.ok(status.lastSync); assert.ok(status.lastSyncModelCount > 0); }); it("model aliases are stored in DB alongside canonical names", async () => { const textData = makeLeaderboardData( [ makeModelEntry({ model: "anthropic/claude-opus-4-6-thinking", score: 1400, votes: 5000, rank: 1, }), ], "text" ); mockFetch(async (url: string) => { if (url.includes("name=text")) return jsonResponse(textData); if (url.includes("name=code")) return jsonResponse(makeLeaderboardData([], "code")); return new Response("Not found", { status: 404 }); }); await syncArenaElo(); const entries = getAllEntries(); const models = entries.map((e) => String(e.model)); assert.ok(models.includes("claude-opus-4-6-thinking")); assert.ok(models.includes("claude-opus-4")); }); }); // ═══════════════════════════════════════════════════════════ // 5. getArenaEloSyncStatus() // ═══════════════════════════════════════════════════════════ describe("getArenaEloSyncStatus()", () => { it("returns correct structure with all expected keys", () => { const status = getArenaEloSyncStatus(); assert.ok("enabled" in status); assert.ok("lastSync" in status); assert.ok("lastSyncModelCount" in status); assert.ok("nextSync" in status); assert.ok("intervalMs" in status); assert.ok("sources" in status); }); it("returns sources containing 'arena_elo'", () => { const status = getArenaEloSyncStatus(); assert.deepStrictEqual(status.sources, ["arena_elo"]); }); it("returns intervalMs as a positive number", () => { const status = getArenaEloSyncStatus(); assert.ok(typeof status.intervalMs === "number"); assert.ok(status.intervalMs > 0); }); it("returns lastSyncModelCount as 0 before any non-dryRun sync completes in this suite context", () => { // Module-level lastSyncTime may leak from earlier tests in the suite, // but the structural fields are always present. const status = getArenaEloSyncStatus(); assert.ok(typeof status.lastSync === "string" || status.lastSync === null); assert.ok(typeof status.lastSyncModelCount === "number"); assert.ok(typeof status.nextSync === "string" || status.nextSync === null); }); it("reflects ARENA_ELO_SYNC_ENABLED env var (on by default, opt-out)", () => { const original = process.env.ARENA_ELO_SYNC_ENABLED; process.env.ARENA_ELO_SYNC_ENABLED = "true"; const enabledStatus = getArenaEloSyncStatus(); assert.strictEqual(enabledStatus.enabled, true); process.env.ARENA_ELO_SYNC_ENABLED = "false"; const disabledStatus = getArenaEloSyncStatus(); assert.strictEqual(disabledStatus.enabled, false); // Default (unset) is now enabled — only an explicit "false" opts out. delete process.env.ARENA_ELO_SYNC_ENABLED; const defaultStatus = getArenaEloSyncStatus(); assert.strictEqual(defaultStatus.enabled, true); if (original !== undefined) { process.env.ARENA_ELO_SYNC_ENABLED = original; } else { delete process.env.ARENA_ELO_SYNC_ENABLED; } }); it("reflects dashboard feature flag DB overrides before env values", () => { process.env.ARENA_ELO_SYNC_ENABLED = "true"; try { setFeatureFlagOverride("ARENA_ELO_SYNC_ENABLED", "false"); const status = getArenaEloSyncStatus(); assert.strictEqual(status.enabled, false); } finally { removeFeatureFlagOverride("ARENA_ELO_SYNC_ENABLED"); } }); it("falls back to the env value if the feature flag store is unavailable", () => { testAdapter.exec("DROP TABLE key_value"); process.env.ARENA_ELO_SYNC_ENABLED = "false"; const status = getArenaEloSyncStatus(); assert.strictEqual(status.enabled, false); }); }); // ═══════════════════════════════════════════════════════════ // 6. stopArenaEloSync() // ═══════════════════════════════════════════════════════════ describe("stopArenaEloSync()", () => { it("initArenaEloSync returns false when disabled by feature flag", async () => { try { setFeatureFlagOverride("ARENA_ELO_SYNC_ENABLED", "false"); const started = await initArenaEloSync(); assert.strictEqual(started, false); } finally { removeFeatureFlagOverride("ARENA_ELO_SYNC_ENABLED"); } }); it("does not throw when no timer is running", () => { assert.doesNotThrow(() => stopArenaEloSync()); }); it("can be called multiple times without error", () => { stopArenaEloSync(); assert.doesNotThrow(() => stopArenaEloSync()); assert.doesNotThrow(() => stopArenaEloSync()); }); });