This project aims to suggest to one (or more) users: the best actions scenario to take. It's currently based on a recursive method which always tries projections until it cannot do anything more than the previous iteration.

I'm planning to move the projection system to a tree calculation system, generating all possible scenarios and returning the one providing the best score.

Disclaimer

This project is not affiliated with the ZUnivers's project. It's a community project.

Features

• ✅ !journa projection
• ✅ !recycle projection
• ✅ !fusion projection
• ✅ !upgrade projection
• ✅ !im projection (with current event priority)
• ✅ !craft projection
• ✅ !ascension projection
• ✅ challenges projection
• ✅ evolution projection
• ✅ constellation projection
• ✅ plugin system
• (Soon) auto subscription based on a rentability check

Usage / Deployment

• Kubernetes
• Docker
• Manual deployment

Kubernetes

For Kubernetes clusters, there is a helm chart available in helm.alexpresso.me, see default values.yaml file

Docker

• Download the docker-compose.yml file (docker-compose.yml example)
• Set a Neo4J password in docker-compose.yml (i.e: NEO4J_AUTH=neo4j/MyVeryStrongPassword)
  • Don't forget to put the same password for zunivers-ninja's NEO4J_PASSWORD
• (Optional) Set a Discord Webhook endpoint if you want to receive advices directly inside a Discord Channel.
• Run docker compose up -d

Manual deployment

• Setup a Neo4J database (docker-image)
• (Choose between A or B):
  • A. Clone the repo and build the jar with mvn package
  • B. Download the zunivers-ninja-<version>-exec.jar from the package artifacts page
• Create a /config directory next to the built jar
• Create a /config/application.yml file (config file example)
• Run the app (java -jar zunivers-ninja-<version>-exec.jar or mvn spring-boot:run)

Making plugins

The app supports plugins, by loading every jar files in a /plugins directory.
See the zuninja-plugin-example project.