FredBet

What´s FredBet?

Simple football betting application using Spring Boot, Thymeleaf and Bootstrap. The web pages are constructed in responsive design for using on mobile devices.

Features

simple betting of football championchips
responsive design (mobile first design)
extra betting of 1st, 2nd and 3rd winner
image gallery (image storage support: filesystem, database, AWS S3)
user profile image
multiple database types supported (H2, MariaDB, MySQL, PostgeSQL)
integrated user administration
rich text editor for rules, prices and misc pages
points statistic
display other users bets after match kickoff
ranking page
Microsoft Excel match import (ready to use world championchip 2018 template available)
Microsoft Excel bets, statistic export
language switcher (supported languages: englisch, german (by now))
ranking filter for adults and childs listing
integrated testing capabilities: create demo users, matches, bets...
configurable runtime configuration
use a joker to double your points of a bet

Testing it locally

You can run the application by issuing the following command:

mvn install spring-boot:run

The application is available under http://localhost:8080/ and runs (by default) with an in-memory H2 database. Log in with the admin account admin/admin.

In the dev profile (which will be activated if no profile is specified) the application starts with an embedded in-memory H2 database.

Running the released Docker image

The released docker image is available on Docker Hub.

docker run -d -p 8080:8080 fred4jupiter/fredbet

Building your own Docker image

mvn clean install
docker build -t fred4jupiter/fredbet .
docker run -d -p 8080:8080 fred4jupiter/fredbet

This will build (and run) an image with name fred4jupiter/fredbet.

Running with Docker Compose

There are some docker compose files available to run the application e.g. with a separate database. This configuration is recommended for production use.

You can find the docker compose files in folder

src/docker/docker-compose

Example for FredBet with MariaDB:

cd src/docker/docker-compose
docker-compose -f mariadb.yml up -d

FredBet Properties

These properties has to be set at application startup.

Key	Default Value	Description
spring.profiles.active	dev	Active Spring profile at startup. Possible values: `dev,prod,localdb`. Use profile `prod` for real productive setup.
fredbet.image-size	1920	Pixel length side for storing images in photo gallery.
fredbet.thumbnail-size	75	Pixel length side for storing thumbnail images.
fredbet.image-location	FILE_SYSTEM	Location where to store the images/photos. Possible values: `FILE_SYSTEM, DATABASE, AWS_S3`
fredbet.image-file-system-base-folder	the users home folder	In case you selected to save the images in file system this is the path to the folder.
fredbet.aws-s3bucket-name	fredbet	Name of the AWS bucket if the image location is set to AWS_S3.
fredbet.aws-access-key	--	Your AWS access key if the image location is set to AWS_S3.
fredbet.aws-secret-key	--	Your AWS secret key if the image location is set to AWS_S3.
fredbet.aws-region	eu-central-1	Name of the AWS bucket if the image location is set to AWS_S3.
fredbet.default-language	de	The default language you prefer.

Please have a look at Spring Boots externalized configuration documentation on how to setup these properties as JVM parameters or environment variables.

Database Properties

Key	Default Value	Description
spring.datasource.hikari.jdbc-url		The database jdbc connection url, e.g. `jdbc:mariadb://localhost:3306/fredbetdb`.
spring.datasource.hikari.username		The database username.
spring.datasource.hikari.password		The database password.
spring.datasource.hikari.driver-class-name		One of: `org.h2.Driver, com.mysql.jdbc.Driver, org.mariadb.jdbc.Driver, org.postgresql.Driver`

Runtime Configuration

Some configuration parameters are configurable at runtime. You has to be administrator to edit these values. Following settings can be changed at runtime:

Log Level
Clearing caches (for available navigation entries, user child relation on ranking page, runtime configuration parameters)
enable separate adults and children ranking
changeable usernames
menu entry for generating test data (for testing only!)
favourite country (will be used in points statistics)
used password on password reset
points for extra bets

Production Environment

FredBet is designed to run within the Amazon Web Services (AWS) cloud as production environment. Typically you run the docker container in EC2 container service (ECS) with these environment properties while storing the images of the image gallery in S3:

Key	Value	Description
spring.profiles.active	prod
fredbet.image-location	AWS_S3
fredbet.aws-s3bucket-name	fredbet	Or any other name for your S3 bucket.

Other properties depend on your production setup (see possible properties above). Add also the properties for your database connection (see above).

The policy to access your S3 bucket will look like this:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "s3:*",
            "Resource": "arn:aws:s3:::<BUCKET_NAME>/*"
        }
    ]
}