The main goal of this tutorial is to automate API testing within a CI/CD (Continuous Integration/Continuous Delivery) pipeline.
By the end of this tutorial, you should be able to:
API testing involves sending requests to the API and evaluating the response. It's important to test APIs to ensure they're performing as expected, returning the correct data, and handling errors properly.
In a CI/CD pipeline, code changes are regularly merged and tested. By automating API testing, we can ensure our APIs are working correctly with every code change.
We'll use Jenkins as our CI/CD tool. After installing Jenkins, we'll create a new job, select "Pipeline", and define our pipeline. We'll specify that our pipeline should pull the latest code from our repository, then run our API tests.
We'll use the Mocha framework to write our API tests in JavaScript. Mocha provides functions to define test suites and test cases, and makes it easy to write asynchronous tests - perfect for API testing.
Here's a simple test for a "GET" request:
// We use the 'chai' library to make assertions
const chai = require('chai');
const chaiHttp = require('chai-http');
chai.use(chaiHttp);
const expect = chai.expect;
// The URL of our API
const url = 'https://my-api.com';
describe('GET /users', () => {
it('should return all users', (done) => {
chai.request(url)
.get('/users')
.end((err, res) => {
// We expect the status to be 200 (OK)
expect(res).to.have.status(200);
// We expect the response to be an array
expect(res.body).to.be.an('array');
done();
});
});
});
In Jenkins, we'll specify our pipeline script:
pipeline {
agent any
stages {
stage('Pull latest code') {
steps {
git 'https://my-repo.com'
}
}
stage('Run tests') {
steps {
sh 'npm test'
}
}
}
}
We've learned how to write API tests and automate them with a CI/CD pipeline. This can greatly improve the reliability of our software and speed up the development process.
Remember, practice is key to mastering these concepts. Happy coding!