GoodReadsGraph

Build a Graph Database of Good Reads book data to recommend novel novels to users:

In the screenshot below, I entered Neuromancer and got Ann Leckie's Ancillary Mercy.

To run back-end:

• Activate your virtual environment in a python terminal
• Start flask server:
• $ export FLASK_APP=api
• $ flask run
• Should be running on localhost:5000. You can test your API with Postman

To run front-end (first-time only) in a new terminal:

No idea if there is a better way to do this, but:

• Follow Node installation instructions here
• Build a new React app folder (do not call it ReactApp/):
• $ npx create-react-app {FOO}
• $ npm start
• This will start the app with all of the basic components needed
• The React App should show up on localhost:3000
• Copy+Replace all of the files in ReactApp/ to your {FOO}/ directory (e.g., App.js, components/)

If you already did the first-time front-end build:

• $ npm start
• Anytime you edit/save any files inside the directory, the App on the local host will update
• Need to debug? Right click on your apps web page: Inspect -> Console Tab will show you what is up

TODO: Add a conda environment .yml file for the Flask dependencies