Stress testing with Locust

Description

Locust is a distributed and scalable open-source library that helps you write effective load tests in pure Python. This repository demonstrates a modular architecture that can work as a template for quickly building a scalable stress testing pipeline with Locust.

Locust terminology

If you're unfamiliar with the terminologies and the general workflow of stress testing with Locust, then I recommend going through the official documentation first. With that out of the way, let's rehash a few terminologies that come up in this context quite often:

Task: In Locust, a Task is the smallest unit of a test suite. Usually, it means, any function or method that is decorated with the @task decorator.

TaskSet: A TaskSet is a class that establishes a contextual boundary between different groups of Tasks. You can essentially group multiple similar Tasks inside a TaskSet. Then you use the TaskSets from your User class.

User: In Locust, a User is a class that executes the tests either directly calling the Task methods or using TaskSets.

In more complex cases, the tests can further be organized by arranging them in multiple test modules. This template groups the Tasks using TaskSets and places multiple TaskSets in separate test modules to achieve better modularity.

Target API

Here, we're using Rapid API's currency exchange API to showcase the load testing procedure. The API converts one currency to another using the current exchange rate.

API anatomy

It takes three parameters in its query string:

1. q    : str - quantity
2. from : str - currency to convert from
3. to   : str - currency to convert to

And returns the converted value.

Access the API

Sign up for a Rapid API account and get your token. You can access the API via cURL like (You need to provide your API token in the header):

curl --request GET \
     --url 'https://currency-exchange.p.rapidapi.com/exchange?q=1.0&from=USD&to=BDT' \
     --header 'x-rapidapi-host: currency-exchange.p.rapidapi.com' \
     --header 'x-rapidapi-key: your-api-token'

The response will look like this:

84.91925⏎

Or, you might want to access it via Python. You can do so using the HTTPx library like this:

import httpx

url = "https://currency-exchange.p.rapidapi.com/exchange"

querystring = {"q": "1.0", "from": "USD", "to": "BDT"}

headers = {
    "x-rapidapi-host": "currency-exchange.p.rapidapi.com",
    "x-rapidapi-key": "your-api-token",
}

with httpx.Client(http2=True) as client:
    response = client.get(url, headers=headers, params=querystring)

print(response.text)

Stress testing pipeline

Below, you can see the core architecture of the load testing pipeline. For brevity's sake, files regarding containerization, deployment, and dependency management have been omitted.

src/
├── locustfiles         # Directory where the load test modules live
│   ├── __init__.py
│   ├── bdt_convert.py  # Load test module 1
│   └── rs_convert.py   # Load test module 2
├── __init__.py
├── auth.py             # Auth, login, logout, etc
├── locust.conf         # Locust configurations
├── locustfile.py       # Locust entrypoint
└── settings.py         # Read the environment variables here

The test suite has three primary components: setup.py, locustfiles, and the locust.conf file.

setup.py

The common elements required for testing, like auth, login, and logout functions reside in the setup.py file.

locustfiles

The load test modules reside in the locustfiles directory. Test modules import and use the functions in the setup.py file before executing each test.

In the locustfiles folder, currently, there are only two load test modules— bdt_convert.py and rs_convert.py. You can name your test modules whatever you want as long as the load testing classes and functions reside here.

• bdt_convert.py: This module houses a single TaskSet named BDTConvert that has two Tasks—usd_to_bdt and bdt_to_usd. The first Task tests the exchange API when the request query asks for USD to BDT currency conversion and the second Task tests the API while requesting BDT to USD conversion.

• rs_convert.py: The second test module does the same things as the first one; only it tests the APIs while the request query asks for USD to RS conversion and vice versa.

  The reason that there are two similar test modules is just to demonstrate how you can organize your Tasks, TaskSets, and test modules.

• locustfile.py: This file works as the entrypoint of the workflow. It imports the TaskSets from the bdt_convert and usd_convert modules and creates a HttpUser that will execute the tasks.

locust.conf

The locust.conf file defines the configurations like hostname, number of workers, number of simulated users, spawn rate, etc.

Run the stress tests locally

• Make sure you have the latest version of docker and docker-compose installed on your machine.

• Clone this repository and go to the root directory.

• Place your rapidAPI token in the .env file.

• Run:

  docker compose up -d

  This will spin up a master container and a single worker container that will do the testing. If you want to deploy more workers to do the load testing then run:

  docker compose up -d --scale worker 2

• To access the Locust GUI, go to http://localhost:8089/ on your browser. You'll be greeted by a screen like below. You should see that the fields of the form are already filled in since Locust pulls the values from the locust.conf file:

  

• Once you've pressed the start swarming button, you'll be taken to the following page:

  

• You can start, stop, and control your tests from there.

Disclaimer

This dockerized application is production-ready. However, you shouldn't expose your environment file (.env) in production. Here, it was done only for demonstration purposes.