Clustering in Object Centric Process Mining

This is the repository for team #5 of the SoftwareProjektPraktikum. This project was developed during WiSe 21/22 by 5 RWTH Aachen University students and contains a web application that clusters objects within an object-centric event log depending on chosen characteristics then outputs the process model for such clusters.

Requirements Overview

• Requires Python, pip and Graphviz.
• Requires Docker for the creation of a container, which may be downloaded here: https://docs.docker.com/docker-for-windows/install/.

Initialisation

• Firstly, clone the project from https://github.com/Justus-Nitroklaus/Clustering-in-Object-Centric-Process-Mining.git.
• After cloning to your local, run the command pip install -r requirements.txt to download all requirements.

Running without a Container

• Run the command python manage.py runserver in the project directory in order to run the development server at http://127.0.0.1:8000/.
• Type http://127.0.0.1:8000/ into your browser and you should be able to run the project.

Creating and Running a Docker Container

• Run the command docker build . -t [image_name] with [image_name] being whatever name you want to give the image. For example: docker build . -t ciocel_one. This should build a Docker image with the passed name.
• Run the Docker container that you have created using the command docker run -d -p 8000:8000 [image_name], while replacing [image_name] with the name you have previously given the image. That should run the container in detached mode and port it to your local host; http://127.0.0.1:8000/.
• Type http://127.0.0.1:8000/ into your browser and you should be able to run the project.