Ontologysim: a Owlready2 library for applied production simulation

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Deep Learning ontologysim
Overview

Ontologysim: a Owlready2 library for applied production simulation

Ontologysim is an open-source deep production simulation framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice. Ontologysim is built on top of Owlready2 framework and requires Python >3.7.

Ontologysim follows a set of high-level design choices which differentiate it from other similar libraries:

  • the simulation can be saved at any time and started from a defined point
  • high degrees of freedom and possibilities due to the ontology

Table of Contents

  1. Installation
  2. First Start
  3. Flask

Installation

pip

A stable version of Production simulation is periodically updated on pyPi and installed as follows:

pip install ontologysim

github

A stable version of Production simulation is periodically updated on the master and installed as follows:

git clone https://github.com/larsKiefer/ontologysim
cd ontologysim
pip3 install -r requirements.txt

First Start

Go to the /example/Main.py and run this python file.

Flask

to start the Flask server run:

py ontologysim/Flask/FlaskMain.py

Problem handling

Owlready2.0

Java Path

  • to use owlready correctly, your java path needs to be set in the owl_config.ini

Java Memory

if this error occurs

owlready2.base.OwlReadyJavaError: Java error message is:
Error occurred during initialization of VM
Could not reserve enough space for 2048000KB object heap

then you need to reduce the java memory

  1. got to "site-packages\owlready2\reasoning.py"
  2. reduce the Java Memory variable to 500

How to check if everything works

run in the example folder the Main.py

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Comments
  • Fixed reference to prod_process_class on Central.py

    Fixed reference to prod_process_class on Central.py

    Dear larsKiefer please check this change. I believe there was a typo "prodProcess_class" on Central.init_all_ids() method. Best regards. Carlos

    opened by scussiatto 0
  • Update Dockerfile

    Update Dockerfile

    fix for missing "cffi.h" header file during the wheel build of "cryptography" that is a dependency of jwt from the requirements.txt file.

    I tried to add the python3-libffi it to the requirements.txt file, but this didn't fix the issue for me. I had to install the Debian package "python3-cffi" and "libffi-dev" for the Docker container to sucessfully build.

    opened by jbetsinger 0
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