Youtube Data API

There is a periodic function which is running every minute, to fetch data from YouTube Data API, and there is redis cache storing results for a short time limit, which get refreshed every minute, or in case cache miss is there.

Celery is a task queue, used to asynchronously execute work outside the HTTP request-response cycle. And the message broker used here is again redis.

Major Dependencies to be installed are:

1. Celery
2. Redis server
3. Google-api-client

Steps to run the project:

1. We need to create a virtual environment, using python3 -m venv my_env.
2. After creating virtual environment, we need to activate the virtual environment, using source my_env/bin/activate.
3. Changing the directory to fampay, we can now install the required dependecies using the command, pip install requirements.txt
4. And the server can be run by python manage.py runserver
5. We need to run the redis local server using redis-server, if it's already trying stopping it and running it again.
6. We got to run the celery as well using command celery -A <project_name> beat and in other terminal celery worker -A <project_name> --loglevel=info --concurrency=4
7. We can check the API response on the localhost server with port 8000, with the link localhost:8000/link/<int> that int would be the page number, you would want.