- An "ovation" user and group with gid and uid's of 1015 are required on the target host - best to deploy in the ovation user's home directory
- This project contains a .devcontainer directory for VS Code -- opening the main project folder in VS Code will give the option to develop in a container
- Environment variables are held in the ovation.env file, but the defaults should work too
- The model can be manually run from the source directory with ovation_model.py
- The plots can be manually generated by running ovation_plot.py in the source_plots directory
- Files are located in the output directory, which is available externally to the Docker container as a volume
- See the project Dockerfile (not the VS Code Dockerfile) and docker-compose.yml files for details on dependencies and how things are run (every 5 minutes)