Tournament Scheduling service assigning teams to tournament matches.
| Name | Level | Description |
|---|---|---|
| One assignment per date per team | Hard | A team can only have one assignment per date. |
| Unavailability penalty | Hard | A team cannot be assigned during their unavailability period. |
| Fair assignment count per team | Medium | Fairly distribute the number of assignments across all teams. |
| Even confrontation count | Soft | Balance the number of confrontations between each pair of teams. |
-
Install Java and Maven, for example with Sdkman:
$ sdk install java $ sdk install maven
-
Git clone the timefold-quickstarts repo and navigate to this directory:
$ git clone https://github.com/TimefoldAI/timefold-quickstarts.git ... $ cd timefold-quickstarts/java/tournament-scheduling -
(Optional) If you want to run a licensed edition (Plus / Enterprise), set up your license key first. See the Timefold license tool for instructions.
-
Start the application with Maven:
-
Community Edition
$ mvn quarkus:dev
-
Plus / Enterprise Edition: The profile sets up the correct Maven artifacts to run the licensed version. See the
pom.xmlfor the implementation details.$ mvn quarkus:dev -Denterprise
-
-
Visit http://localhost:8080 in your browser.
-
Click on the Solve button.
Then try live coding:
- Make some changes in the source code.
- Refresh your browser (F5).
Notice that those changes are immediately in effect.
When you're done iterating in quarkus:dev mode, package the application to run as a conventional jar file.
-
Build it with Maven:
$ mvn package
-
Run the Maven output:
$ java -jar ./target/quarkus-app/quarkus-run.jar
Note To run it on port 8081 instead, add
-Dquarkus.http.port=8081. -
Visit http://localhost:8080 in your browser.
-
Click on the Solve button.
-
Build a container image:
$ mvn package -Dcontainer
-
Run a container:
$ docker run -p 8080:8080 --rm $USER/tournament-scheduling:1.0-SNAPSHOT
To increase startup performance for serverless deployments, build the application as a native executable:
-
Compile it natively. This takes a few minutes:
$ mvn package -Dnative
-
Run the native executable:
$ ./target/*-runner -
Visit http://localhost:8080 in your browser.
-
Click on the Solve button.
Visit timefold.ai.
