YoutubeSearchApi

API Paths

After following the installation process below and starting project, the api shall be listening for requests at port 3000.

• /

  Home path, app shall respond with a simple json acknowledgement

• /search/< query >

  Insert query which you want your Data API v3 to send results for, which will be sorted by latest uploaded and return max responses of 2 ( hard coded, can change at ./controllers/searchController.js)

• /find/< query >

  Filter responses by video's title or description or both. Server expects them to be values of keys: "title" "description" in url query strings.

  The < query > must have been searched for before in order to filter by title or description.

To start,

• Login to Mongo Atlas
• Create a project and build new cluster ( it provides a free sandbox )
• Create Database users and secure network access to your machine's IP only
• Create a database which has 2 collections:
  • videos
  • searches
• Obtain a connection uri for node version > 14

• Visit Google Api Console, https://console.cloud.google.com/

• Create a new project and enable the Yt Data API v3 at https://console.cloud.google.com/apis/api/youtube.googleapis.com

• Create Credentials and secure the key to allow access to only the created api, and download credentials into your project folder.

• Preferrably procure multiple keys as the project will automatically cycles through keys, as their request quotas get exhausted.

Get the project in your local machine

• Fork the project
• Clone by following on terminal at preferred directory

git clone https://github.com/<Your_Username>/YoutubeSearchApi.git

Setup the config folder

• Copy and export the Mongo connection uri into a file at ./config/mongouri.js from your project.

• Copy and export (as an array) the set of all api keys at ./config/apiKey.js from your project.

Containerise app

• This requires your machine to have Docker runtime installed. If it isnt already install by refering these

  • (Mac OS) https://docs.docker.com/docker-for-mac/install/

  • (Windows) https://docs.docker.com/docker-for-windows/install/

  • (Linux) https://docs.docker.com/engine/install/ (Browse by distributions)

  • Further Install docker compose https://docs.docker.com/compose/install/

• Create docker image and containers

  • You may need to create a user group or else run as sudo

docker-compose up --build

You can run app without docker in case of issues by:

• Initiating project with npm pm

npm init -y 

• Installing dependancies

npm install i

• Test Npm Script:

npm run test

• Starting Project

npm run start