This project is my variant of the My Reads project created for Udacity's React course. It is a simple bookshelf management system with its own bookshelf and a possibility to integrate books from a provided API.

How to start the application:

• Navigate to the correct folder

cd starter

• Install all required project dependencies

npm i

• Start the Development Server

npm start

├── CONTRIBUTING.md
├── README.md 
├── SEARCH_TERMS.md 
├── package.json 
├── public
│   ├── favicon.ico
│   └── index.html 
├── src
│   ├── App.css
│   ├── App.js
│   ├── Book.js
│   ├── BookShelf.js
│   ├── BookShelfChanger.js
│   ├── BookShelfTray.js
│   ├── SearchBookPage.js
│   ├── icons
│   │   ├── add.svg
│   │   ├── arrow-back.svg
│   │   └── arrow-drop-down.svg
│   ├── index.css
│   ├── index.js
│   └── utils
│       └── BooksAPI.js
└── yarn.lock

The API provided by Udacity contains a small database of books that can be searched and added.

⚠️ It is important to note that the database behind the api is for demo purposes only and does not reflect a real time library database. (More infos:Important)

There are 4 possible requests to the API:

• 1️⃣ get
• 2️⃣ getAll
• 3️⃣ update
• 4️⃣ search

Method Signature:

get(bookID);

• bookID: <String> containing any available book id attribute (e.g. "1wy49i-gQjIC")
• Returns a Promise which resolves to a JSON object containing a single book object matching the bookID.

Method Signature:

getAll();

• Returns a Promise which resolves to a JSON object containing a collection of book objects.

Method Signature:

update(book, shelf);

• book: <Object> containing at minimum an id attribute
• shelf: <String> contains one of ["wantToRead", "currentlyReading", "read"]
• Returns a Promise which resolves to a JSON object containing the response data of the POST request

Method Signature:

search(query);

• query: <String>
• Returns a Promise which resolves to a JSON object containing a collection of a maximum of 20 book objects.

The backend API uses a fixed set of cached search results and is limited to a particular set of search terms, which can be found in SEARCH_TERMS.md. That list of terms are the only terms that will work with the backend, so don't be surprised if your searches for Basket Weaving or Bubble Wrap don't come back with any results.

This project was bootstrapped with Create React App. You can find more information on how to perform common tasks here.

This repository was created based on the entry code for all Udacity students.

For details, check out CONTRIBUTING.md.