========= |Experta|

|pypi| |version| |tests| |docs| |coverage|

Experta is a Python library for building expert systems strongly inspired by CLIPS_.

.. code-block:: python

from random import choice from experta import *

class Light(Fact): """Info about the traffic light.""" pass

class RobotCrossStreet(KnowledgeEngine): @Rule(Light(color='green')) def green_light(self): print("Walk")

   @Rule(Light(color='red'))
   def red_light(self):
       print("Don't walk")

   @Rule(AS.light << Light(color=L('yellow') | L('blinking-yellow')))
   def cautious(self, light):
       print("Be cautious because light is", light["color"])

.. code-block:: python

engine = RobotCrossStreet() engine.reset() engine.declare(Light(color=choice(['green', 'yellow', 'blinking-yellow', 'red']))) engine.run() Be cautious because light is blinking-yellow

Migrating from Pyknow

Experta is a Pyknow fork. Just replace any pyknow references in your code/examples to experta and everything should work the same.

Examples

You can find some more examples on GitHub_.

.. _CLIPS: http://clipsrules.sourceforge.net .. _GitHub: https://github.com/nilp0inter/experta/tree/develop/docs .. |Experta| image:: https://raw.githubusercontent.com/nilp0inter/experta/develop/docs/static/expertalogo_small.png .. |pypi| image:: https://img.shields.io/pypi/v/experta.svg :target: https://pypi.python.org/pypi/experta

.. |version| image:: https://img.shields.io/pypi/pyversions/experta.svg :target: https://pypi.python.org/pypi/experta

.. |tests| image:: https://travis-ci.org/nilp0inter/experta.svg?branch=master :target: https://travis-ci.org/nilp0inter/experta

.. |docs| image:: https://readthedocs.org/projects/experta/badge/?version=stable :target: https://experta.readthedocs.io/en/stable/ :alt: Documentation Status

.. |coverage| image:: https://codecov.io/gh/nilp0inter/experta/branch/develop/graph/badge.svg :target: https://codecov.io/gh/nilp0inter/experta :alt: codecov.io