Objective

demo.mp4

Backend

To start the backend, open the backend folder and run

$ docker-compose build && docker-compose up

To stop the backend

$ docker-compose down

Add --volumes to delete the persisted volumes.

You will need to:

1. Add your OpenAI API key to backend/config/config.py
2. Implement the API endpoints in backend/flask_docker/api.py

Notes:

• To make database queries, use get_db().fetch("SELECT ... WHERE foo=%s", ("bar",)) or get_db().insert(...) or get_db().execute(...). These functions (and more) are documented in db.py.
• You can use adminer to manage the SQL database by visiting http://localhost:8080 in your browser. The hostname should be mariadb (as specified in the docker-compose.yml) and the root password is password
• The flask DEBUG flag is set to true, which enables hot-reloading of the flask application, so you won't need to re-build the docker-compose stack when you make changes.

Frontend

To start the frontend, open the frontend folder and run yarn install and then

$ yarn start

Your browser should open to http://localhost:3000

The front-end code should be fully-functional if the backend endpoints are implemented correctly.

Feel free to improve the UI/UX. It's not part of the evaluation criteria, though.