Readr develops an algorithm unique to each user. The more you use it, the better your book suggestions get!

first thing to do here is

npm install

• External API(s) - Google Books (possibly Open Library for epub text)
• Frontend Framework - React
• Styling Library - Material UI
• Server Framework - Express
• Database - PostgreSQL - (for speed over mySQL) Sequelize ORM
• Authentication - OAuth -> Google
• Deployment Platform - Digital Ocean
• Testing Framework - Mocha Chai
• Project Management Tool - GitHub Projects

NOTE: Make sure to install the following separateley

npm i gapi

nvm install 10 and nvm use 10 to run the application.

npm install pg@8

• A user logs in with third-party authenication from Google.
• The first time a user logs in, they will be prompted for their desired username.
• After completing the questionare, they will see a page with a single book suggestion and short description of the book.
• The users will see two large button links below the book suggestion
  • "Interested", "Not Interested".
• The user can click "Interested", "Not Interested"" in the book suggestion
  • This information is saved in a join table in the database with the userID, the book's ISBN, and a boolean value.

• If the user clicks "Interested":

  • The book will be added to their "To-Read" list.
  • The next book suggestion will appear.

• If the user clicks "Not Interested":

  • The book will be added to their "Not interested" list.
  • The next book suggestion will appear.

• If the user clicks "Read Now":

  • The user will be taken to an ePub copy of the book, if avaliable. For this component, we are using ReactReader powerd by ePub.js
  • If not avaliable, they will be directed to an outside link to a public domain copy of the book.
  • If in app, the user should be able to exit the ebook and be back on the suggestion page.

• If the user clicks "Search Books":

  • The user will be taken to search page where the user can search books based on the title.
  • The search functionality only renders top 10 book results.
  • The user can also add a book from the search to their reading lists.

• When the user clicks on reading list, user will be shown the books the user has interest in

  • A few buttons will appear: each are self explanatory
  • The finished button will add to the users profile. So others can see what books they are reading

• When the user clicks on add friends, he will see a search bar to be able to search for friends

• The user will be able to send invites to book clubs to his following friends

  • able to add to google calendar
  • able to specify friends
  • start and end times
  • custom hangouts link

• "To-Read"
  • A list of books the user clicked "Interested" on.
  • The user can access their "To-Read" list at any time via a link in the top bar of the app.
  • The user can move a book to the "Not Interested" list.
  • The user can remove a book from the list.
  • A user can click "read now" to start reading the book.
  • A user can sort their list by date added or genre
• "Not Interested"
  • A list of books the user clicked "Not Interested" on.
  • The user can move a book to the "To-Read" list.
  • A user can remove a book from the list.
  • A user can click "read now" to start reading the book.
  • A user can sort their list by date added or genre

This app uses PostgreSQL

• Schema
  • Users table with ID, username
  • Books table with ISBN#, Title, Author, Description, thumbnail Cover image, book url
  • Join table to populate users To-Read list with unique User ID, ISBN#, and Boolean
  • Join table to show relationship between users/followers

• .env

  • see .env.example for an example of how to set up environmental variables