Youtube Intermediary Search

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The backend has been divided into two parts : client_server and microservice.

Firstly, the microservice needs to be run (which will trigger the youtube_data_api every 10 seconds and the videos will be stored in the database) and then the client_server needs to be run will connect the apis with the postgresql database

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Setup for both the modules

A virtual environment needs to be created :

py -m venv env
.\env\Scripts\activate

Dependencies needs to be installed :

pip install -r requirements.txt

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microservice

The variables.ini file should be configured with the databse credentials and the youtube data api's developer key.

The following commands needs to be executed :

py createTable.py ---> To create the database table
py insertTable.py ---> To store the youtube api response in the databse periodically

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client_server

A .env file needs to be created with stores the SQLALCHEMY_DATABASE_URI and the SCHEMA_NAME

For example,

SQLALCHEMY_DATABASE_URI ="postgresql://postgres:root@127.0.0.1:5432/postgres"
SCHEMA_NAME ="public"

Then the following command needs to be executed :

py run.py ---> To run the flask server

Two apis are available here .

get() --> To get the paginated response of the videos added in the database

The get() api is called by requesting response at http://127.0.0.1:5000/get/pageNumber

where pageNumber should be integer page no.s

Sample url : http://127.0.0.1:5000/get/2

search_video() --> To get the search result from the database

The search_video() api is called by requesting response at http://127.0.0.1:5000/search/video/searchKey

where searchKey should be string input

Sample url : http://127.0.0.1:5000/search/video/virat$kohli