DEV Community: Jibrin Masud

Integration Testing in the TSI E-Learning Platform

Jibrin Masud — Wed, 26 Feb 2025 13:35:22 +0000

Introduction
Robust testing is crucial for any modern web application, and the TSI E-Learning Platform employs comprehensive integration testing to ensure reliability across its API endpoints and database interactions. This article examines the integration testing strategy implemented in the platform, highlighting best practices and approaches that contribute to a stable and dependable system.

Integration Testing Architecture

Test Environment Setup

The TSI E-Learning Platform utilizes a sophisticated integration testing framework that leverages:

Jest as the primary testing framework
Supertest for HTTP assertions and API endpoint testing
MongoDB Memory Server for creating ephemeral test databases

This structure allows tests to run independently from production databases while accurately simulating the application's behavior in a controlled environment.

Database Isolation Strategy

The testing architecture employs MongoDB Memory Server to create an isolated in-memory database for each test run. This approach provides several benefits:

Tests run against a real MongoDB instance rather than mocks
Each test suite begins with a clean database state
No interference with development or production databases
Fast execution compared to traditional database setups

The test-setup.js module handles three critical functions:

setupTestDB(): Creates and configures the in-memory MongoDB instance
teardownTestDB(): Properly closes database connections after testing
clearDatabase(): Resets all collections between individual tests

Test Structure and Coverage

The integration tests are organized around the core functional areas of the platform:

Authentication Testing

The authentication test suite validates:

User registration workflows
Login functionality with proper JWT token generation
Validation of user credentials and session management

Course Management Testing

The course management tests confirm:

Course creation by instructors
Course listing and retrieval APIs
Proper authorization controls for course operations

Enrollment System Testing

The enrollment test suite validates critical operations:

Student enrollment in courses
Prevention of duplicate enrollments
Enrollment status updates
Enrollment deletion with proper access controls
Listing of student enrollments

Testing Best Practices Demonstrated

The integration test implementation showcases several industry best practices:

Test Isolation: Each test begins with a clean database state
Proper Setup/Teardown: Resources are properly initialized and cleaned up
Authentication Handling: Tests properly simulate authenticated requests
Error Path Testing: Negative scenarios (like duplicate enrollments) are verified
Complete API Coverage: All major API endpoints are tested

Conclusion

The integration testing approach in the TSI E-Learning Platform demonstrates a thorough strategy for ensuring API reliability. By using MongoDB Memory Server for database isolation and structuring tests around core functional areas, the platform maintains high confidence in system behavior while keeping tests fast and reliable.

This testing architecture serves as a model for modern web applications that require comprehensive API testing while maintaining test independence and execution speed.

My Experience Working on the TSI E-Learning Platform Assignment

Jibrin Masud — Wed, 19 Feb 2025 10:00:58 +0000

Working on the TSI E-Learning Platform assignment was both challenging and rewarding. The project involved developing a comprehensive online learning platform that supports course creation, enrollment, and management for both instructors and students. The README.md file provided a clear structure and detailed instructions, which made it easier to navigate through the project and understand its components.

Understanding the Project Structure

The repository was well-organized, with separate directories for controllers, middleware, models, and routes. This modular approach helped me understand the flow of data and the separation of concerns within the application. The app.js file served as the main entry point, and the configuration files in the config/ directory were crucial for setting up external services like Cloudinary for file uploads and MongoDB for database management.

Key Features and Implementation

One of the most interesting aspects of the project was implementing the key features, such as user authentication, course management, and enrollment tracking. The role-based access control ensured that only authorized users could perform specific actions, such as creating or deleting courses. The integration with Cloudinary for handling multimedia file uploads was particularly challenging but rewarding, as it allowed for a seamless user experience when adding course materials.

The email notification system, powered by Nodemailer, was another feature that required careful implementation. It was essential for sending notifications for user signups, password resets, and course enrollments. The Emails/ directory contained the necessary templates and utilities, making it easier to manage and customize the email content.

Challenges and Learning

One of the main challenges I faced was ensuring proper error handling and validation at each step of the data flow. The README.md file provided a clear overview of the data flow, which helped me debug issues related to authentication and file uploads. Additionally, setting up the environment variables correctly was crucial for the application to function properly, especially when deploying to a production environment.

Deployment and Monitoring

The deployment section of the README.md file was particularly helpful, as it outlined the necessary steps for deploying the application to a hosting platform like Render which can also be deployed to any other platform. Configuring the environment variables and setting up monitoring tools like Sentry or New Relic were essential steps to ensure the application's stability and performance in a production environment.

Conclusion

Overall, working on the TSI E-Learning Platform assignment was a valuable learning experience. It allowed me to apply my knowledge of Node.js, MongoDB, and Express in a real-world scenario, while also introducing me to new tools and services like Cloudinary and Nodemailer. The well-structured README.md file played a crucial role in guiding me through the project, and I feel more confident in my ability to develop and deploy complex web applications.

E-Learning Management System API

Jibrin Masud — Fri, 14 Feb 2025 16:45:46 +0000

Project Overview
This is a Learning Management System (LMS) built with Node.js, Express, and MongoDB. The system allows management of courses, enrollments, and user authentication.

Key Features

User Authentication (JWT-based)
Course Management
Student Enrollment TSIE-Learning/ ├── controllers/ │ ├── AuthController.js │ ├── BookController.js │ ├── CoursesController.js │ └── EnrollmentController.js ├── models/ │ ├── User.js │ ├── Course.js │ ├── Book.js │ └── Enrollment.js ├── routes/ │ ├── auth.js │ ├── book.js │ ├── course.js │ ├── enrollment.js │ └── index.js ├── middleware/ │ └── authmiddleware.js ├── app.js └── package.json API Endpoints Authentication
POST /auth/register - Register new user
POST /auth/login - User login Courses
GET /course - List all courses
POST /course - Create new course
GET /course/:id - Get course details
PUT /course/:id - Update course
DELETE /course/:id - Delete course Enrollments
GET /enrollment - List enrollments
POST /enrollment - Create enrollment
DELETE /enrollment/:id - Cancel enrollment

Security Features

JWT-based authentication
Middleware protection for routes
Password hashing with bcrypt
Environment variable configuration Development Setup # Install dependencies npm install

Start development server

npm run dev

Production start

npm start
Note: This project serves as a foundation for building a comprehensive learning management system with modern web technologies and best practices in mind.

[Boost]

Jibrin Masud — Wed, 05 Feb 2025 14:35:17 +0000

My Learning journey with TSI Designing a NoSQL Schema for a Social Media App.

Jibrin Masud ・ Feb 5

My Learning journey with TSI Designing a NoSQL Schema for a Social Media App.

Jibrin Masud — Wed, 05 Feb 2025 14:35:01 +0000

Recently, I worked on designing a NoSQL schema for a social media app, and it was both challenging and rewarding. The goal was to create a scalable and efficient structure to handle user profiles, posts, likes, comments, and follows. I started by identifying key entities like users, posts, and their relationships, then mapped out how they would interact in a NoSQL database.

The schema design process taught me the importance of balancing simplicity and scalability. For example, embedding likes and comments directly in posts simplified queries but required careful handling of updates. I also enjoyed defining API endpoints, imagining how users would interact with the app.

This project deepened my understanding of NoSQL databases and reinforced the value of clear, user-centric design. It was a great learning experience, and I’m excited to apply these insights to future projects!

My Learning journey with TSI

Jibrin Masud — Sat, 25 Jan 2025 20:59:24 +0000

In this article, I’ll walk you through my journey of building and deploying a Node.js CRUD API, the errors I encountered along the way, and how I resolved them. This project was hosted on Render, a cloud platform that simplifies deployment and scaling of web applications. I’ll cover the key steps, challenges, and solutions to help you avoid similar pitfalls.

Project Overview
The goal of the project was to build a simple CRUD (Create, Read, Update, Delete) API using Node.js and Express. The API allows users to perform basic operations on a resource, such as adding, retrieving, updating, and deleting data. The application was deployed to Render for public access.

Key Features
POST /api/add: Add new data.

GET /api/data: Retrieve all data.

PUT /api/data/🆔 Update data by ID.

DELETE /api/data/🆔 Delete data by ID.

Step 1: Setting Up the Project
I started by initializing a Node.js project and installing the necessary dependencies:

bash
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npm init -y
npm install express cors
Basic Server Setup
Here’s the initial structure of the application:

javascript
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const express = require("express");
const cors = require("cors");
const app = express();
const port = process.env.PORT || 3000;

app.use(cors());
app.use(express.json());

let data = [];

// POST /api/add
app.post("/api/add", (req, res) => {
const newData = req.body;
data.push(newData);
res.json({ message: "Data added", data: newData });
});

// GET /api/data
app.get("/api/data", (req, res) => {
res.json(data);
});

app.listen(port, () => {
console.log(Server running on port ${port});
});
Step 2: Deploying to Render
After testing the application locally, I decided to deploy it to Render. Here’s how I did it:

Pushed the code to GitHub:

bash
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git init
git add .
git commit -m "Initial commit"
git remote add origin https://github.com/username/repo-name.git
git push -u origin main
Created a Web Service on Render:

Connected my GitHub repository to Render.

Set the Build Command to npm install.

Set the Start Command to node index.js.

Added Environment Variables:

Since the app uses process.env.PORT, I didn’t need to add any additional environment variables.

Deployed the Application:

Render automatically built and deployed the app.

The app was accessible at https://tsicrudassignment.onrender.com.

Step 3: Errors and Fixes
During the development and deployment process, I encountered several errors. Here’s how I resolved them:

Error 1: Cannot GET /api/add
Problem:
When I tried to access https://tsicrudassignment.onrender.com/api/add in my browser, I got the error:

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Cannot GET /api/add
Cause:
The browser sends a GET request by default, but the /api/add endpoint only accepts POST requests.

Solution:
I tested the endpoint using Postman and cURL to send a POST request:

bash
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curl -X POST https://tsicrudassignment.onrender.com/api/add \
-H "Content-Type: application/json" \
-d '{"name": "John", "age": 30}'
This worked, and I received the expected response:

json
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{
"message": "Data added",
"data": {
"name": "John",
"age": 30
}
}
Error 2: Cannot PUT /api/data/2
Problem:
When I tried to update data using a PUT request, I got the error:

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Cannot PUT /api/data/2
Cause:
The PUT route was not defined in my Express app.

Solution:
I added the PUT route to handle updates:

javascript
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app.put("/api/data/:id", (req, res) => {
const id = parseInt(req.params.id);
const updatedData = req.body;
data[id] = updatedData;
res.json({ message: "Data updated", data: updatedData });
});
After redeploying, the PUT request worked as expected.

Error 3: Cannot find module 'update/lib/utils'
Problem:
During deployment, Render logs showed the error:

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Error: Cannot find module 'update/lib/utils'
Cause:
The update module was not installed or was incorrectly referenced.

Solution:
I checked my package.json and installed the missing dependency:

bash
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npm install update
I also verified that the module was correctly referenced in my code.

Error 4: Deployment Failed with Exited with status 1
Problem:
The deployment failed with the error:

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==> Exited with status 1
Cause:
This error is generic and can occur for various reasons, such as missing dependencies or incorrect start commands.

Solution:
I checked the Render logs and found that the start script in package.json was incorrect. I updated it to:

json
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"scripts": {
"start": "node index.js"
}
After redeploying, the application started successfully.

Step 4: Final Application
After fixing all the errors, the final application worked as expected. Here’s the complete code:

index.js:
javascript
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const express = require("express");
const cors = require("cors");
const app = express();
const port = process.env.PORT || 3000;

app.use(cors());
app.use(express.json());

let data = [];

// POST /api/add
app.post("/api/add", (req, res) => {
const newData = req.body;
data.push(newData);
res.json({ message: "Data added", data: newData });
});

// GET /api/data
app.get("/api/data", (req, res) => {
res.json(data);
});

// PUT /api/data/:id
app.put("/api/data/:id", (req, res) => {
const id = parseInt(req.params.id);
const updatedData = req.body;
data[id] = updatedData;
res.json({ message: "Data updated", data: updatedData });
});

// DELETE /api/data/:id
app.delete("/api/data/:id", (req, res) => {
const id = parseInt(req.params.id);
data.splice(id, 1);
res.json({ message: "Data deleted" });
});

app.listen(port, () => {
console.log(Server running on port ${port});
});
Conclusion
Building and deploying a Node.js CRUD API was a great learning experience. I encountered several challenges, but by carefully analyzing the errors and testing my code, I was able to resolve them. Render made deployment straightforward, and I now have a fully functional API hosted in the cloud.

If you’re working on a similar project, I hope this article helps you avoid common pitfalls and deploy your application successfully. Happy coding! 🚀