Medbikri Backend Assignment

This project is created as an assignment for the position of Backend Intern at Medbikri. It is a Node.js and Express.js application which uses the Youtube Data API V3 to periodically fetch the latest videos related to a pre-defined topic and save them to the MongoDB Atlas Database. This application also provides the API to fetch the stored video data in a paginated response sorted in descending order of published datetime. The users can also use the search API to search the stored videos using their title and description.

Installation Instructions

Inside the project directory, run the following commands in the terminal:
```
npm i
```

Enabling YouTube Data API V3:

Now, go to the Google Cloud Console > select APIs and Services from the navigation menu > Then click on the ENABLE API AND SERVICES button > Search for "YouTube Data API v3" > Enable the API.
Alternatively, you can also visit this link: https://console.cloud.google.com/apis/library/youtube.googleapis.com.
After enabling the YouTube API, generate new Credentials (API key) for this YouTube Data API.
NOTE: A comma separated list of API keys is necessary to utilize the feature of multiple API keys

Connecting to MongoDB Atlas:

Create a MongoDB Atlas cluster
In the Database tab under Deployment section, click on the Connect button.
Choose Connect your application
Under the Add your connection string into your application code section, uncheck the Include full driver code example
The string being displayed now, is the connection string for your cluster. Use this string in the next steps.

The .env File

Now create a new .env file in the project's root directory similar to the provided example.env file and store the required comma separated list of Google API Keys and the atlas connection string in the required variables.

After that, if you have nodemon installed, then simply run the following command:

nodemon server

Test the API

1. Testing pagination

Create a GET request to the following url:

http://localhost:3000

with the following query parameters:

page - to specify the page
limit - to specify the number of results to fetch from that page
Both the values should be greater than 1

2. Testing Search feature

Create a POST request to the following url:

http://localhost:3000/search

with the following body in JSON format:

{
    "title":<string-to-search>,
    "description":<string-to-search>,
}

NOTE: Both title and description are optional

Raunakk02/medbikri-backend-assignment