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The process virtual machine

This project defines storage for an abstract _process_ in a company, and implements a virtual machine that keeps track of the execution of instances of the process.

Develop

You will need the redis and mongo databases, and rabbitmq for this to work. I recommend using pipenv or virtualenv in your python projetcs ;)

  • clone the repo

  • install the requirements listed in requirements.txt

  • run the tests (pytest)

you can control your cacahuate installation using this three environment variables:

CACAHUATE_SETTINGS: absolute path to a settings file

FLASK_APP: import path to wsgi module (cacahuate.http.wsgi)

FLASK_DEBUG: set to 1 to turn on flask’s debugging

Installation

pip install cacahuate

Cacahuated

This is the daemon in charge of moving pointers in the process, run with:

cacahuated

The Cacahuate REST API

In this same repository you will find a flask application that exposes a REST api for controling Cacahuate.

How to run

FLASK_APP=cacahuate.http.wsgi flask run

You can use any wsgi-compliant server, like gunicorn, to run this:

gunicorn cacahuate.http.wsgi:app

The docs

Docs are built using sphinx and published in https://tracsa.github.io/cacahuate/index.html. To build a local copy of the docs navigate to the docs/ directory and run:

make html

For more options just run make by itself.

Release

`bash ./release.sh cacahuate/version.txt [major|minor|patch] `

Project links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for categulario from gravatar.com categulario

Credits

Author: Abraham Toriz Cruz

License

MIT License (MIT)

Tags

process

Classifiers

Report project as malware

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