SDET Unicorns

API Tests Optimization – Config & Random data

Table of Content

In this post, we’ll take a look at some other ways to optimize our test. We will create a new config file to store configuration related data as well as use faker.js to randomize test data.

Configuration file

Instead of storing URLs and other configuration related within our tests file, we can create a config file and store data there and import it directly in our tests. This will help clean up our tests and make it easier to read. Even something as simple as this works:

export default {
  baseUrl: 'https://gorest.co.in/public-api/',
  // ... other config data
};

Randomizing test data

Instead of hardcoding test data, we can use external libraries such as faker.js to help generate random test data for us. To use faker, import the package using npm install faker and then start using it –

const faker = require('faker')

const data = {
  name: faker.name.findName() // will generate random name
  email: faker.internet.email() // will generate random email
}

Check out this video to see how we can cover the above two items as well as take a look at how we can securely store test tokens using the .env file:

You can also clone the GitHub repo to access this code


To learn more about API testing, check out my free tutorial series here –

JavaScript API Automation Testing Tutorial Series

My Resources

Thrive Suite: The all-in-one WordPress theme I used to create my blog.
Jasper AI: My favorite AI writing tool.
Surfer SEO:  A tool to help you rank your content on the first page of Google.

Write Content Faster

5/5

Write blog posts that rank for affiliate terms!

Join our mailing list

Unlock the Secrets to Becoming a SDET Pro in the Industry!

Stay ahead of the curve! Join our mailing list for exclusive insights, tips, and the latest industry updates delivered straight to your inbox

Table of Content

Related Post

equivalence and boundary value

Understanding Equivalence Partitioning and Boundary Value Analysis in Software Testing

Software testing techniques help ensure software quality and reliability, by helping us select test cases intelligently from the collection of test cases, such that all test scenarios are covered.

Boundary Value Analysis and Equivalence Partitioning are two testing techniques that help testers select a subset of test cases that covers all important test scenarios, even under time and budget constraints. By testing all the equivalence classes and boundary values, testers can reduce the risk of releasing software with defects.

Read More »