Skip to content
cccskills
FreePublished on GitHub

bullmq-tests

Authors and runs BullMQ job tests in TypeScript / JavaScript - `Queue` and `Worker` patterns, processor mocking, retry/backoff/repeat-job assertions, FlowProducer for parent-child job dependencies, QueueEvents listeners; tests use a real Redis instance (Docker / Testcontainers / `ioredis-mock` for stricter unit-test isolation). Use when the user works with BullMQ in Node.js services and needs unit / integration tests for queue producers, worker processors, or flow orchestration.

The English summary is being prepared. Showing the original description.

testland/qa13 stars(GitHub 13 + cccskills 0)
Works withDockerRedis

Run score Not tested

See how to install

Files included (3)

  • SKILL.md6.3 KB
  • .tessl-plugin/plugin.json611 B
  • references/advanced-patterns-and-ci.md2.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

bullmq-tests

Overview

Per github.com/taskforcesh/bullmq:

"The fastest, most reliable, Redis-based distributed queue for Node. Carefully written for rock solid stability and atomicity."

BullMQ's testing model differs from Sidekiq / Celery: there is no "fake mode" or in-memory queue substitute. Tests use real Redis (Docker / Testcontainers) or stub it via ioredis-mock. Tests typically validate: queue add → worker processor → completion event.

When to use

  • The repo has BullMQ Queue + Worker definitions in Node.js / TS.
  • The user writes tests for queue producer logic (controllers, service layers).
  • The user writes tests for worker processor business logic.
  • A test verifies retry / backoff / FlowProducer parent-child semantics.

How to use

  1. Install bullmq (add ioredis-mock for stricter unit isolation) - see Install.
  2. Point tests at a shared connection: a real Redis (Docker / Testcontainers) for integration, or ioredis-mock for pure unit tests of producer logic.
  3. Test the producer - enqueue, then assert on queue.getJobs(['waiting']); drain() between tests and close() in afterAll (see Worked example).
  4. Test the worker - call the processor function directly for unit tests, or run a real Worker + QueueEvents for integration (see Worked example).
  5. For retry / backoff, repeat-job, FlowProducer flows, and CI wiring, see references/advanced-patterns-and-ci.md.

Install

Per bm-gh:

yarn add bullmq
# or
npm install bullmq

For tests, add ioredis-mock for in-memory Redis simulation:

npm install --save-dev ioredis-mock

Basic Queue + Worker pattern

Per bm-gh (verbatim):

import { Queue } from 'bullmq';

const queue = new Queue('Paint');
queue.add('cars', { color: 'blue' });
import { Worker } from 'bullmq';

const worker = new Worker('Paint', async job => {
  if (job.name === 'cars') {
    await paintCar(job.data.color);
  }
});

The Queue produces; the Worker consumes. Tests typically import and invoke both within the test process.

Worked example

An order flow: assert that placing an order enqueues a job, then that the processor ships it.

First, test the producer - enqueue, then read the queue by state:

import { Queue } from 'bullmq';
import { redisConfig } from './test-config';   // Docker Redis or ioredis-mock

describe('order producer', () => {
  let queue: Queue;
  beforeAll(() => { queue = new Queue('orders', { connection: redisConfig }); });
  beforeEach(async () => { await queue.drain(); });   // clear queue between tests
  afterAll(async () => { await queue.close(); });

  it('enqueues an order job', async () => {
    await placeOrder({ customerId: 1, items: [...] });

    const jobs = await queue.getJobs(['waiting']);
    expect(jobs).toHaveLength(1);
    expect(jobs[0].data.customerId).toBe(1);
  });
});

queue.getJobs(['waiting']) retrieves jobs in a specific state. Other states: 'active', 'completed', 'failed', 'delayed', 'paused'.

Then test the processor. For unit tests, call the processor function directly (avoid spinning up a real Worker):

const processOrder = async (job: Job<OrderData>) => {
  await chargeCard(job.data);
  await sendConfirmationEmail(job.data);
  return { status: 'shipped' };
};

it('processes an order successfully', async () => {
  const job = { data: { customerId: 1, total: 100 } } as Job<OrderData>;
  const result = await processOrder(job);
  expect(result.status).toBe('shipped');
});

For integration tests, instantiate a real Worker and assert via QueueEvents:

import { Queue, Worker, QueueEvents } from 'bullmq';

it('processes via real worker', async () => {
  const queue = new Queue('orders', { connection: redisConfig });
  const worker = new Worker('orders', processOrder, { connection: redisConfig });
  const events = new QueueEvents('orders', { connection: redisConfig });

  await new Promise<void>((resolve) => {
    events.on('completed', ({ jobId, returnvalue }) => {
      expect(JSON.parse(returnvalue).status).toBe('shipped');
      resolve();
    });
    queue.add('order', { customerId: 1 });
  });

  await worker.close(); await queue.close(); await events.close();
});

Anti-patterns

Anti-patternWhy it failsFix
Skip await queue.drain() between testsStale jobs leak across tests; flakyDrain in beforeEach (Worked example)
Spin up Worker for every unit testSlow + Redis-coupledTest processor function directly (Worked example)
queue.add() without awaitRace: test exits before job is enqueuedAlways await queue ops
Skip worker.close() / queue.close() in afterAllHangs CI; Redis connections leakedClose in afterAll (Worked example)
ioredis-mock for QueueEvents testsMock has gaps in pub/sub command emulationUse real Redis for events

Limitations

  • BullMQ has no first-party "fake mode" like Sidekiq - test-vs-production parity comes from real Redis.
  • ioredis-mock covers 90% of BullMQ usage but can produce false-passing tests on edge-case Redis commands.
  • FlowProducer parent-child tests require coordination across two queues - tests are integration-only, can't be pure unit tests.
  • BullMQ Pro features (rate limiters, observables) follow the same testing pattern but require Pro license.

References

  • bm-gh - repo, install, basic Queue/Worker pattern, FlowProducer
  • docs.bullmq.io - full documentation
  • references/advanced-patterns-and-ci.md - retry/backoff, repeat-job, FlowProducer, and CI wiring
  • sidekiq-tests, celery-tests, sqs-tests, rabbitmq-tests - sister tools
  • cron-job-test-author, idempotency-test-author - build-an-X authors

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Builds a CI gate that fails the build on **new** WCAG / a11y violations introduced by a PR while grandfathering pre-existing violations on a per-rule / per-page baseline. Aggregates verdicts from axe-core / pa11y / Lighthouse a11y / WAVE / IBM Equal Access scans. Use when a project has accumulated a11y debt and a strict "zero violations" gate would block every PR - the ratchet pattern lets the team ship while preventing regressions.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

Workflow skill that builds an A/B-test validity checklist from an experiment proposal, walking the canonical design-correctness gates - pre-registered OEC/power/guardrails, randomization unit + SRM check, assignment integrity, telemetry, peeking discipline, novelty/primacy, post-experiment SRM re-check - into a per-experiment checklist + sign-off form. Use when launching, auditing, or governing an experiment. For pitfall mechanics (guardrails, peeking) see experiment-results-interpreter's references; to read an already-valid result use experiment-results-interpreter; for per-SDK harness tests use experiment-sdk-testing - this gates DESIGN, not SDK code.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

The single install-flow skill: the reference contract for the PWA install flow (installability gate fields, `beforeinstallprompt` handshake, per-platform paths - Android WebAPK / iOS Share menu / Firefox no-op - and the `display-mode` post-install signal, in references/install-flow-reference.md) plus the build-an-X workflow that emits the Add-to-Home-Screen suite. Walks the four-stage timeline, emitting one test per gate cell per [web.dev/articles/install-criteria][install-criteria], the deferred-prompt → `prompt()` → `userChoice` chain per [web.dev/articles/customize-install][customize-install], the iOS Safari manual-metadata branch (`apple-touch-icon`) per [web.dev/learn/pwa/installation][learn-pwa], and the post-install `(display-mode: standalone)` MQ assertion. Output: a Playwright spec with per-stage cells plus a coverage matrix. Use when a PWA's manifest, icons, or install handler change, when install conversion drops at an unknown stage, or when triaging a flaky install assertion.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

Build-an-X workflow that uses an LLM to map existing tests to spec sections - given a spec doc + the test suite, the LLM identifies which tests cover which sections, surfaces uncovered sections (gap), and recommends specific tests to add. Output is a coverage matrix per spec ID. Scope is mapping tests that already exist and naming the gaps, not authoring tests for new acceptance criteria. Use when a spec doc and a test suite both exist but nobody can say which requirements are actually covered - before a release sign-off, an audit, or a decision about where to spend the next round of test effort.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

Generates tests from natural-language specs (acceptance criteria, user stories, requirements) using an LLM, with confidence scoring per test case (LLM self-assessment plus heuristics: assertion quality, naming, completeness), batching uncertain cases for human review, and integration with the team's existing test framework. Use when the user asks to generate unit tests from acceptance criteria, convert user stories to test cases, automate test creation from requirements, or augment a spec-driven test suite with AI-generated stubs that are then curated before merge.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

Configures Allure Report (test-runner adapter install, `allure-results` directory wiring, `categories.json` for failure classification, `history-trend.json` retention via the copy-history-between-runs pattern), runs the Allure CLI to convert `allure-results` to a static HTML site, and uploads the report as a CI artifact. Use when the team needs richer test reporting than JUnit XML - step-level attachments, per-test history, retry tracking, and severity / epic / feature labeling across framework-agnostic adapters (pytest, Jest, JUnit, TestNG, NUnit, Mocha). As a rich static HTML report generator, it is the open-source alternative to the sunset ExtentReports (JVM/.NET per-test HTML narrative); for hosted cross-run flakiness analytics rather than a static per-run report use currents-integration.

The English summary is being prepared. Showing the original description.

testland/qa13Updated Oct 20, 2026

See all skills by testland

Report a problem with this skill