celte-team

Overview

This document provides a step-by-step guide to setting up the development environment for the project. The project is developed in four main parts:

Kafka

kafka is a technology that allows for the communication between the different parts of the project. It is a distributed event streaming platform that allows for the communication between the different parts of the project.

To use it you just have to go to the celte-system folder and run the following command:

docker-compose up

Master

Master is the conductor of the orchestra. He is responsible :

• Of the assignation of the different client to the different server nodes.
• He is also responsible for the creation of the different server nodes.

go to the celte-system folder and run the following command:

dotnet run --config configFile.yml

The configFile.yml is a file that contains the configuration of the different server nodes. it must have at least:

``kafka_brokers: "KAFKA_IP:KAFKA_PORT" ``
example :
``kafka_brokers: "192.168.123.159:80"``

Godot

The godot project contain the client and the server node.

godot installation:

- install godot version``4.2.2``
- import godot project from the `godot` folder
![import godot project](/dev/images/import_godot_project.png)

• Run the project:

---

Link celte-godot to the celte-system:

1. Go to the celte-system folder and run the following command:

./automations/setup_repository.sh PATH-TO.. /celte/celte-godot/gdprojects/p1/gdproj

1. Then compile the project in godot. go to the celte-godot/gdprojects/p1 folder and run the following command:

    make -j

⚠️ You must have installed on your machine the following tools:

• scons
• boost

MAC OS users must install the following packages:

• boost-python3 : brew install boost-python3

Run the project:

To easily run the project, you can use the run script in the celte-system folder.

./run (--cpp (SN), --kafka, --master)

Docker:

There is a docker image containing the celte-system folder and already compiled. clmt/celte_server:latest This will be use to run the project with the --cpp option.