This is a bookshelf app that allows you to select and categorize books you have read, are currently reading, or want to read. The project emphasizes using React to build the application and provides an API server and client library that are use to persist information as you interact with the application.
- Clone this repo in your terminal with the command
git clone https://github.com/cristalnaya/reactnd-project-myreads.git
- or just download it to your computer
- change directory into
cd reactnd-project-myreads
- run
npm install
in your terminal - run
npm start
and the app will run locally on port: 3000
Note: Node JS and NPM (Node Package Manager) is required to install and run the application.
├── package.json
├── package-lock.json
├── public
│ ├── favicon.ico
│ └── index.html
├── README.md
├── SEARCH_TERMS.md
└── src
├── App.css
├── App.js
├── App.test.js
├── Book.js
├── BookList.js
├── BooksAPI.js
├── BookSearch.js
├── BookShelf.js
├── icons
│ ├── add.svg
│ ├── arrow-back.svg
│ └── arrow-drop-down.svg
├── index.css
└── index.js
To simplify your development process, we've provided a backend server for you to develop against. The provided file BooksAPI.js
contains the methods you will need to perform necessary operations on the backend:
Method Signature:
getAll()
- Returns a Promise which resolves to a JSON object containing a collection of book objects.
- This collection represents the books currently in the bookshelves in your app.
Method Signature:
update(book, shelf)
- book:
<Object>
containing at minimum anid
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.
- These books do not know which shelf they are on. They are raw results only. You'll need to make sure that books have the correct state while on the search page.
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.
- starter code provided by Udacity