Book tracker web app made using Spring Boot and Vaadin 14 (only the free components will be used).
See a live demo. Instead of creating an account, you can use the test credentials shown in the Access site section. This is only for demonstration purposes, so please do not rely on any saved data persisting.
Features:
- Add books that you have read to a 'to read', 'currently reading', 'read' or 'did not finish' shelf (or a custom shelf)
- A rating scale from 0-10 that that goes up in steps of 0.5
- Track your progress towards a reading goal: the number of books or pages you hope to read by the end of the year
- Statistics about your reading habits
- Export your saved data to JSON
- User registration and accounts
- Import books from Goodreads
- And much more!
Coming soon:
- Import books from LibraryThing
- Search from a catalogue of books
- 2-factor authentication
- Magic links
- And much more!
The images above may look slightly different to the app. If major changes are made, new images will be uploaded to reflect this.
Prerequisites:
- JDK 11 (the app currently won't work on later versions due to an issue with one of the libraries -- Karibu testing -- not being compatible with later versions)
- If you don't have Node.js installed globally, it is not needed as Vaadin will install it automatically
- If you do have Node.js installed, please ensure it is at least version 10.0
- MySQL 8.0.* or (better) Docker
- Windows or macOS: install Docker Desktop
- Linux: install Docker Engine and Docker Compose
- Clone the repository
- Import the project as a maven project into your favourite IDE (or run maven on the terminal)
- Start Docker engine (Linux) or Docker desktop (Windows or macOS)
Then, if you want to use Docker, follow one of the approaches below:
- Build the project at the root using
./mvnw clean install
(Unix) ormvnw.cmd clean install
(Windows) - Start the MySQL database using
docker-compose up -d mysql phpmyadmin
- May need to add
sudo
to this command on Unix
- May need to add
- Start the application using
java -jar target/book-project-0.0.1-SNAPSHOT.jar
- At the root of the project, build the project in production mode using one of the following commands. In production mode all UI components are packaged in a jar file.
./mvnw clean package -Pproduction
(Unix), ormvnw.cmd clean package -Pproduction
(Windows)
- Start the MySQL Database and book project app using
docker-compose up --build
- May need to add
sudo
to this command on Unix
- May need to add
We recommended this approach if you need to work on the frontend with Vaadin. This approach allows you to use Vaadin Live reload which prevents you from needing to re-run the server every time or manually refresh your browser (i.e. it's a lot quicker).
- Start the MySQL database using
docker-compose up -d mysql phpmyadmin
- May need to add
sudo
to this command on Unix
- May need to add
- Run the project from your IDE or with Maven:
./mvnw spring-boot:run
on Unixmvnw.cmd spring-boot:run
on Windows
If you're running the app from your IDE, after making a Vaadin-related change, build the app from your IDE after making any changes.
After following the instructions for running the app above, go to localhost:8080
. Then, log in with the details below:
- Username:
user
- Password:
password
You may find lots of errors for things like the log statements, or the entities not having constructors. You can find instructions on how to fix this for IntelliJ and Eclipse in our troubleshooting wiki page. Other common errors and solutions are also in the troubleshooting page.
To access the MySQL database when docker-compose is running:
- Go to
http://localhost:8081/
- Log in with the settings below.
- User Name:
root
- Password:
rootpassword
- User Name:
- Click on connect
If you wish to contribute (thanks!), please first see the contributing document.
If you need help with anything, we'll be happy to help you in our Slack workspace. Alternatively, you can start a new discussion on our GitHub Q&A.
For more information, such as a roadmap and the underlying principles of the project, see the Book Project wiki.
To see the open source software we use, refer to our Acknowledgements file