Generators of input files for the global graph. Read more about the MMLKG project at MMLKG website.

Build the project with mvn clean package.

To use it csvrelgen.sh should be launched.

Some configuration of csvrelgen.sh is required.

You need to have Docker installed on your machine to be able to build and run the Docker image.

1. Build the Docker image

To build the Docker image, run the following command:

docker build -t csvrelgen .

2. Run the Docker image

To run the Docker image, run the following command:

docker run --rm -v <input_path>:/app/input -v <output_path>:/app/output csvrelgen <java_Xmx> <MMLLAR> <ESXFILES> <OUTDIR>

Replace <input_path> with the path to your input directory, and <output_path> with the path to your output directory.

• <java_Xmx> - the amount of memory for JVM (default: 64G)
• <MMLLAR> - the path to the MMLLAR file (default: /app/input/mml.lar)
• <ESXFILES> - the path to the ESXFILES files (default: /app/input/esx_mml/)
• <OUTDIR> - the path to the output directory (default: /app/output)