This framework provides modules that can be used to do various process mining tasks on bot models. It also contains a demo notebook that demonstrates how to use the framework.
- Clone this repository
- (Optional) Create a virtual environment using
python -m venv venv - Install the requirements using
pip install -r requirements.txt
The usage of this framework is demonstrated in the demo.ipynb notebook. You can run the notebook to see how to use the framework.
The assets folder contains some sample data that can be used to test the framework. The assets folder contains event logs and bot models in the event_logs and models folders respectively.
This repository also contains a Flask app REST API that can be used to interact with the framework and a Dockerfile to run the app in a container. To run the app, follow these steps:
- configure the environment variables in the
.envfile, you can use the.env.examplefile as a template. In most cases, you will not need to change the values. - Build the Docker image using
docker build -t processminingforbots:latest . - Run docker compose using
docker compose up