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Keploy as a hapi testing framework

Keploy tests hapi applications by recording real requests through the running server and every database or outbound call they trigger, then replaying both as assertions. Lifecycle extensions, Joi validation, and auth strategies all execute over a real socket.

Generate hapi tests free
keploy record -c "node dist/server.js"
18.4K+VS Code1.2M+300M+mocks created

What Keploy gives a hapi team

Any hapi app, unchanged

Keploy runs your real entrypoint, so registered plugins, route prerequisites, and auth strategies all execute. Capture is at the socket rather than inside the server object.

  • hapi 20 and above
  • Plugins and route prerequisites
  • Joi validation runs for real
  • Auth strategies genuinely exercised
The problem

Why hapi integration tests slow teams down

The friction is rarely the assertions. It is everything around them — spinning up dependencies, keeping mocks honest, and repairing tests after every refactor.

Three ways to do it

Testing hapi: by hand, with Jest + supertest + nock, or with Keploy

server.inject enters the lifecycle of a server the test file assembled, so plugins from your entrypoint are missing. Keploy records the real process, so nothing is absent.

Select any row for the full comparison, with code.

Same coverage, three costs

What you write for hapi vs what Keploy records

All three produce the same assertion. Only the third still passes after the next refactor without anyone editing it.

By hand2–4 hours
confirm.test.js
hand-written
// Hand-written: the handler is called past the lifecycle.
const { confirm } = require('../src/handlers/orders');
 
test('confirms an authorized order', async () => {
const request = {
params: { id: 'ord_1' },
payload: { paymentToken: 'tok_123' },
// Prerequisites never ran, so this is invented.
pre: { order: { id: 'ord_1', amountMinor: 4200, state: 'NEW' } },
server: { app: { db: fakeDb, payments: fakePayments } },
};
 
const result = await confirm(request, fakeToolkit);
 
expect(result.state).toBe('CONFIRMED');
});

request.pre is fabricated, so the prerequisite that would have loaded the order — and any authorisation it performs — never ran.

Jest + supertest + nock1–2 hours
confirm.inject.test.js
tool-assisted
// Lab + server.inject + nock.
const nock = require('nock');
 
test('confirms an authorized order', async () => {
nock('https://api.payments.example.com')
.post('/v1/payment_intents/tok_123/confirm')
.reply(200, { status: 'AUTHORIZED' });
 
const server = Hapi.server();
await server.register(ordersPlugin);
// The auth strategy and logging plugin from server.js are not here.
 
const res = await server.inject({
method: 'POST',
url: '/orders/ord_1/confirm',
payload: { paymentToken: 'tok_123' },
});
 
expect(res.statusCode).toBe(200);
});

The lifecycle runs, which is the right idea — and it is the lifecycle of a server assembled here, so the auth strategy your entrypoint registers is missing.

With Keploy~5 minutes
test-1.yaml
auto-generated
# Recorded with: keploy record -c 'node dist/server.js'
# Nobody wrote this file. Keploy captured it from a real request.
version: api.keploy.io/v1beta1
kind: Http
name: test-1
spec:
req:
method: POST
url: /orders/ord_1/confirm
header:
Authorization: Bearer <captured>
body: '{"paymentToken":"tok_123"}'
resp:
status_code: 200
body:
id: "ord_1"
state: "CONFIRMED"
amountMinor: 4200
noise:
- body.confirmedAt
mocks:
- kind: Postgres
operation: "SELECT id, amount_minor, state FROM orders WHERE id = $1"
- kind: Http
url: https://api.payments.example.com/v1/payment_intents/tok_123/confirm

The recorded case entered the lifecycle at onRequest and passed the real auth strategy and Joi validation before reaching the handler.

Times are estimates for authoring one endpoint’s coverage from scratch, not measurements.

Keploy vs the alternatives

hapi testing tools, compared

The options a team on Node.js actually reaches for, and where each one genuinely wins. Select a row for the full comparison.

Best in classStrongPartialNot covered

Assessments reflect each tool’s documented behaviour, not benchmark measurements.

How it works

Record your hapi app once, replay it forever

Keploy sits below your hapi process at the network layer. It watches the calls your app already makes, then serves them back on replay so tests run with no dependencies attached.

Keploy records a GET call to /api/v1/orders/{id} on a hapi service and captures the dependency calls it makes.

hapi logo
Your hapi app
GET/api/v1/orders/{id}200
RecordingKeploy proxyeBPF · userspace
+3 more hapi dependencies
An example shape of a captured call. Your own endpoints and dependencies come from your real traffic, so nothing here has to be written by hand.
Mock coverage

What Keploy mocks for hapi, with zero config

7 of the 7 dependencies a typical hapi service talks to are stubbed from the recording itself — no mock classes, no fixture files, no containers in CI.

Quick start

Your first hapi test suite in under five minutes

Every command below runs against your existing hapi service. Nothing in your source tree changes.

  1. 1Install the Keploy CLI

    A single binary. It needs a Linux kernel with eBPF support, or Docker on macOS and Windows — and it adds nothing to your project's dependencies.

    curl -sSL https://keploy.io/install.sh | bash
  2. 2Record your service

    Pass the command you already use to start the app. Keploy runs it and watches every socket it opens.

    keploy record -c "node dist/server.js"
  3. 3Exercise the paths you care about

    Drive the running server. Every request becomes a test case with its database and HTTP calls captured alongside.

    npm run build
    curl -X POST localhost:3000/orders/ord_1/confirm -H 'Content-Type: application/json' -H 'Authorization: Bearer $TOKEN' -d '{"paymentToken":"tok_123"}'
  4. 4Replay in CI

    Replay serves the recorded dependency responses, so the job needs no service containers and no Docker daemon.

    keploy test -c "node dist/server.js" --delay 8

Ready to try it on your own hapi service?

FAQ

hapi testing with Keploy: common questions

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