Camel Ray

Helper scripts for managing the Camel Ray compute cluster.

Quick Start

Installing the Dependencies in a Conda Environment

Create a new conda environment and install the dependencies using the following command:

conda env create -f environment.yml
conda activate rayenv

Accessing the Camel Ray Manager

Run the Python script to access the Camel Ray manager:

python camelray.py

Before running the script, you need to add your credentials to the .env file that is not synced to the repository.

USERNAME=your_username
PASSWORD=your_password

workers.csv is a CSV file that contains the information about the workers in the cluster. If any of the workers are moved to a new location or ethernet port, you need to update the workers.csv file with the new information.