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191 lines
8.4 KiB
TypeScript
191 lines
8.4 KiB
TypeScript
/**
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* ADR-174 Milestone 3 — daemon wiring for the consolidate worker.
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*
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* The daemon previously wrote a hardcoded { patternsConsolidated: 0 } stub
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* every 30 minutes and touched no database — the root cause of the
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* intelligence tables (reasoning_patterns, episodes, causal_edges) staying
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* empty. `runConsolidateWorker()` now calls the frozen M1 service
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* (memory-distillation.ts's runDistillation) against `.swarm/memory.db` and
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* persists the REAL report to .claude-flow/metrics/consolidation.json.
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*
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* These tests prove:
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* - the worker actually increases reasoning_patterns row count
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* - it writes non-zero, real metrics (not the old hardcoded zeros)
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* - running it twice is idempotent (distill_state cursor drains once)
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* - the RUFLO_DAEMON_NO_DISTILL opt-out skips distillation without crashing
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* - a corrupt/unusable DB is reported via metrics, never thrown
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest';
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import { mkdtempSync, rmSync, mkdirSync, existsSync, readFileSync, writeFileSync } from 'node:fs';
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import { join } from 'node:path';
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import { tmpdir } from 'node:os';
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import { WorkerDaemon } from '../../src/services/worker-daemon.js';
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let Database: any;
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let haveNative = false;
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try {
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Database = (await import('better-sqlite3')).default;
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haveNative = true;
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} catch {
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haveNative = false;
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}
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/** Same schema/fixtures as __tests__/memory-distillation.test.ts. */
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function seedDb(dbPath: string): void {
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const db = new Database(dbPath);
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db.exec(`CREATE TABLE memory_entries (
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id TEXT PRIMARY KEY, key TEXT, namespace TEXT DEFAULT 'default',
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content TEXT, embedding TEXT, status TEXT DEFAULT 'active'
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)`);
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db.exec(`CREATE TABLE episodes (
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id INTEGER PRIMARY KEY AUTOINCREMENT, ts INTEGER DEFAULT 0, session_id TEXT NOT NULL,
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task TEXT NOT NULL, input TEXT, output TEXT, critique TEXT, reward REAL DEFAULT 0,
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success BOOLEAN DEFAULT 0, latency_ms INTEGER, tokens_used INTEGER, tags TEXT,
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metadata JSON, created_at INTEGER DEFAULT 0
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)`);
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db.exec(`CREATE TABLE reasoning_patterns (
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id INTEGER PRIMARY KEY AUTOINCREMENT, ts INTEGER DEFAULT 0, task_type TEXT NOT NULL,
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approach TEXT NOT NULL, success_rate REAL NOT NULL DEFAULT 0, uses INTEGER DEFAULT 0,
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avg_reward REAL DEFAULT 0, tags TEXT, metadata TEXT
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)`);
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db.exec(`CREATE TABLE pattern_embeddings (
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pattern_id INTEGER PRIMARY KEY, embedding BLOB NOT NULL
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)`);
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db.exec(`CREATE TABLE causal_edges (
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id INTEGER PRIMARY KEY AUTOINCREMENT, from_memory_id INTEGER NOT NULL, from_memory_type TEXT NOT NULL,
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to_memory_id INTEGER NOT NULL, to_memory_type TEXT NOT NULL, similarity REAL DEFAULT 0,
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confidence REAL DEFAULT 0.5, mechanism TEXT, metadata JSON, created_at INTEGER DEFAULT 0
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)`);
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const ins = db.prepare('INSERT INTO memory_entries (id, key, namespace, content, embedding) VALUES (?,?,?,?,?)');
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const vec = (seed: number) => JSON.stringify(Array.from({ length: 8 }, (_, i) => Math.sin(seed + i)));
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ins.run('c1', 'k1', 'commands', 'refactor the auth module in src/auth.ts', vec(1));
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ins.run('c2', 'k2', 'commands', 'add validation to src/api/handler.ts', vec(2));
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ins.run('c3', 'k3', 'commands', 'optimize the query in src/db/store.ts', vec(3));
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ins.run('f1', 'k4', 'feedback', JSON.stringify({ taskId: 'edit-a', success: true }), vec(4));
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ins.run('f2', 'k5', 'feedback', JSON.stringify({ taskId: 'edit-b', success: false }), vec(5));
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db.close();
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}
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function reasoningPatternCount(dbPath: string): number {
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const db = new Database(dbPath, { readonly: true });
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const c = (db.prepare('SELECT COUNT(*) AS c FROM reasoning_patterns').get() as { c: number }).c;
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db.close();
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return c;
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}
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describe.skipIf(!haveNative)('WorkerDaemon consolidate worker — ADR-174 M3 wiring', () => {
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let tempDir: string;
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let dbPath: string;
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let metricsFile: string;
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beforeEach(() => {
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tempDir = mkdtempSync(join(tmpdir(), 'worker-daemon-consolidate-'));
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mkdirSync(join(tempDir, '.claude-flow', 'logs'), { recursive: true });
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mkdirSync(join(tempDir, '.swarm'), { recursive: true });
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dbPath = join(tempDir, '.swarm', 'memory.db');
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metricsFile = join(tempDir, '.claude-flow', 'metrics', 'consolidation.json');
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delete process.env.RUFLO_DAEMON_NO_DISTILL;
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});
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afterEach(() => {
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delete process.env.RUFLO_DAEMON_NO_DISTILL;
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rmSync(tempDir, { recursive: true, force: true });
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});
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it('distills memory_entries into reasoning_patterns and writes real (non-zero) metrics', async () => {
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seedDb(dbPath);
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expect(reasoningPatternCount(dbPath)).toBe(0);
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const daemon = new WorkerDaemon(tempDir);
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const result = await (daemon as any).runConsolidateWorker();
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// The worker must have actually written new rows, not a stub.
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expect(reasoningPatternCount(dbPath)).toBeGreaterThan(0);
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// Metrics file reflects the real report — not the old hardcoded zeros.
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expect(existsSync(metricsFile)).toBe(true);
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const metrics = JSON.parse(readFileSync(metricsFile, 'utf-8'));
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expect(metrics.distillationEnabled).toBe(true);
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expect(metrics.patternsConsolidated).toBeGreaterThan(0);
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expect(metrics.memoryCleaned).toBeGreaterThan(0);
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expect(metrics.episodes).toBeGreaterThan(0);
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// Same values surfaced on the returned worker result (used by
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// `daemon trigger -w consolidate` to print output.printJson(result.output)).
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expect((result as any).patternsConsolidated).toBe(metrics.patternsConsolidated);
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});
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it('is idempotent — a second tick processes nothing new (cursor-driven)', async () => {
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seedDb(dbPath);
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const daemon = new WorkerDaemon(tempDir);
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const first = await (daemon as any).runConsolidateWorker() as any;
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const patternsAfterFirst = reasoningPatternCount(dbPath);
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expect(patternsAfterFirst).toBeGreaterThan(0);
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const second = await (daemon as any).runConsolidateWorker() as any;
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// No new source rows since the first tick -> nothing new processed.
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expect(second.memoryCleaned).toBe(0);
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expect(reasoningPatternCount(dbPath)).toBe(patternsAfterFirst);
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});
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it('bounds each tick via maxEntries so a large backlog cannot be scanned in one call', async () => {
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seedDb(dbPath);
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const daemon = new WorkerDaemon(tempDir);
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// Sanity: the tick-bound constant used by the worker must be a small,
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// finite number — this is what keeps the worker well under
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// DEFAULT_WORKER_TIMEOUT_MS (16 min) regardless of backlog size.
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const result = await (daemon as any).runConsolidateWorker() as any;
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expect(result.memoryCleaned).toBeLessThanOrEqual(1000);
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});
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it('honors RUFLO_DAEMON_NO_DISTILL=1 and skips distillation entirely', async () => {
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seedDb(dbPath);
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process.env.RUFLO_DAEMON_NO_DISTILL = '1';
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const daemon = new WorkerDaemon(tempDir);
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const result = await (daemon as any).runConsolidateWorker() as any;
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expect(result.distillationEnabled).toBe(false);
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expect(reasoningPatternCount(dbPath)).toBe(0);
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const metrics = JSON.parse(readFileSync(metricsFile, 'utf-8'));
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expect(metrics.distillationEnabled).toBe(false);
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expect(metrics.patternsConsolidated).toBe(0);
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});
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it('never throws on a missing/absent memory DB — reports skipped in metrics', async () => {
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// No .swarm/memory.db written at all.
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const daemon = new WorkerDaemon(tempDir);
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await expect((daemon as any).runConsolidateWorker()).resolves.toBeDefined();
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const metrics = JSON.parse(readFileSync(metricsFile, 'utf-8'));
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expect(metrics.distillationEnabled).toBe(true);
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expect(metrics.skipped).toBeTruthy();
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expect(metrics.patternsConsolidated).toBe(0);
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});
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it('never throws on a corrupt memory DB — reports corrupt in metrics', async () => {
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// Write garbage bytes where a sqlite DB is expected.
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writeFileSync(dbPath, 'not a real sqlite file — corrupt on purpose');
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const daemon = new WorkerDaemon(tempDir);
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await expect((daemon as any).runConsolidateWorker()).resolves.toBeDefined();
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const metrics = JSON.parse(readFileSync(metricsFile, 'utf-8'));
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expect(metrics.distillationEnabled).toBe(true);
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expect(metrics.patternsConsolidated).toBe(0);
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});
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it('is dispatched via runWorkerLogic for the "consolidate" worker type (back-compat wiring)', async () => {
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seedDb(dbPath);
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const daemon = new WorkerDaemon(tempDir);
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const output = await (daemon as any).runWorkerLogic({ type: 'consolidate' } as any);
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expect((output as any).distillationEnabled).toBe(true);
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expect(reasoningPatternCount(dbPath)).toBeGreaterThan(0);
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});
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});
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