Javascript – Jasmine Unit Tests for Promise Object

This article represents tips and code samples in relation with how to write unit tests for Promise object when using Jasmine framework. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.
Following are the key points described later in this article:
  • Sample Promise Object
  • Unit Tests related with Promise Object
Sample Promise Object

Pay attention to some of the following in the code below:

  • Auth module returns a Promise object that returns a User object when resolved or returns an error object in case of error.
  • A JSON object is passed to resolve or reject method.
  • Save the file as Auth.js within lib folder.
// Promise needs to be imported when executing a module using Node
//
var Promise = require("promise");

function Auth() {
}

Auth.prototype.login = function(user) {
    return new Promise(function(resolve, reject) {
        if(user.username != "" && user.password != "") {
            resolve({username: user.username, age: 40, location: "Hyderabad", firstname: "Ajitesh", lastname: "Shukla"});
        } else {
            if(user.username == ""){
                reject({status:1, message: "Username is invalid"});
            } else {
                reject({status:2, message: "Password is invalid"});
            }
        }
    });
}

module.exports = Auth;
Unit Tests related with Promise Object

Pay attention to some of the following in the code below:

  • “done” is passed as argument to each of the “it” or test method.
  • Assertion is made within success or error function
  • After assertion, “done()” method is called.
  • Save the file as AuthSpec.js in spec folder.
describe("Auth", function() {
  var Auth = require('../lib/Auth');
  var auth;

  beforeEach(function() {
    auth = new Auth();
  });

  it("fails with Username as invalid", function(done) {
    var loginPromise = auth.login({username: '', password: 'pass123'});
    loginPromise.then(function(response){
    },function(error){
        expect(error.status).toEqual(1);
        done();
    });
  });

  it("fails with Password as invalid", function(done) {
    var loginPromise = auth.login({username: 'ashukla', password: ''});
    loginPromise.then(function(response){
    },function(error){
        expect(error.status).toEqual(2);
        done();
    });
  });

  it("is successful", function(done) {
    var loginPromise = auth.login({username: 'ashukla', password: 'pass123'});
    loginPromise.then(function(response){
        expect(response.username).toEqual("ashukla");
        expect(response.firstname).toEqual("Ajitesh");
        expect(response.age).toEqual(40);
        done();
    },function(error){
    });
  });
});

 

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Share
Published by
Ajitesh Kumar

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

3 weeks ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

4 weeks ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

1 month ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

1 month ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

1 month ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

1 month ago