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LSCS-RnD-Backend-Homework

Repository to answer the back-end challenge homework for LSCS.

Tested for both Windows 10 and Ubuntu OS.

Frameworks used

  • Node.js

  • Express.js

  • Mongoose and MongoDB

Usage

This is a brief explanation on how to submit data.

Create a Question

Creating a question uses to the /create uri with the following request body to POST:

{
    question: string;
    choices: string[];
    correct_answer: string;
}

Update a Question

Updating a question uses to the /update uri with the following request body where one of the new parameters are present to PATCH:

{
    original_question: string
    new_parameters: {
        question: string | null | undefined;
        choices: string[] | null | undefined;
        correct_answer: string  null | undefined;
    }
}

Delete a Question

Delete a question requires to the /delete uri with the following request body to DELETE:

{
    question: string;
}

Get Question data

Getting question data requires to the /get uri with the following request body to POST:

{
    question: string;
}

Get all Questions

Getting all questions requires to go to /list uri with GET.

Check Answer

Submitting a requires to go to /check_answer uri with following to POST:

{
    question: string;
    submitted_answer: string;
}

Instructions

  1. Install using git clone https://github.com/ImaginaryLogs/LSCS-Homework.git;

  2. Paste in a local MongoDB connection string in the src/config/config.mts file, or use .env file.

  3. Install the node modules via npm i.

  4. Go to the terminal and run the following command npm run dev in the root directory.

  5. Check the console if the database is connected.

    1. If not, please make sure you pasted the local MongoDB connection string.
  6. Go to website outputted by the console to check the html file for testing.

    1. You may also check the REST Client files.

    2. You may also check the decapricated Python unittest file.

About

Back-end challenge homework for applying for LSCS. Built with Express.js Node.Js and Mongoose.

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