prolothar-common 7.0.0

algorithms for process mining and data mining on event sequences

Prolothar-Common

Common functionality for our ProLothar projects, which contain algorithms for process mining and event sequence analysis tasks.

Visit https://github.com/shs-it?q=prolothar to get a list of the ProLothar repositories.

Usage

If you want to use this library, read the following instructions.

Prerequisites

• Python 3.11+
• Depending on your system: C++ Compiler for compiling Cython code

Installing

pip install prolothar-common

Development

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Additional Prerequisites

• make (optional)

Running the tests

make test

Deployment

1. Change the version in version.txt
2. Build and publish the package on pypi by

make clean_package
make package && make publish

3. Create and push a tag for this version by

git tag -a $(cat version.txt) -m "describe this version"
git push --all && git push --tags

Devcontainer

There is a decontainer definition in this project, which helps you to set up your environment. At Stahl-Holding-Saar, we are behind a corporate proxy and cannot install dependencies from PyPi directly. I yet have not found a stable solution to set the PIP_INDEX_URL and PIP_TRUSTED_HOST variables dynamically. In the current Dockerfile, I hardcoded the values, so you have to adapt them. If you know a solution to this problem, please contact me.

Versioning

We use SemVer for versioning.

Given a version number MAJOR.MINOR.PATCH, increment the:

• MAJOR version when you make incompatible API changes
• MINOR version when you add functionality in a backward compatible manner
• PATCH version when you make backward compatible bug fixes

Authors

• Boris Wiegand - [e-mail]