Metadata-Version: 2.2
Name: clipspy
Version: 1.0.5
Summary: CLIPS Python bindings
Home-page: https://github.com/noxdafox/clipspy
Author: Matteo Cafasso
Author-email: noxdafox@gmail.com
License: BSD
Keywords: clips python cffi expert-system
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
License-File: LICENSE.txt
Requires-Dist: cffi>=1.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: requires-dist
Dynamic: summary

CLIPS Python bindings
=====================

Python CFFI_ bindings for the 'C' Language Integrated Production System CLIPS_ 6.42.

:Source: https://github.com/noxdafox/clipspy
:Documentation: https://clipspy.readthedocs.io
:Download: https://pypi.python.org/pypi/clipspy

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Initially developed at NASA's Johnson Space Center, CLIPS is a rule-based programming language useful for creating expert and production systems where a heuristic solution is easier to implement and maintain than an imperative one. CLIPS is designed to facilitate the development of software to model human knowledge or expertise.

CLIPSPy brings CLIPS capabilities within the Python ecosystem.

Installation
------------

Linux
+++++

On Linux CLIPSPy is packaged for `x86_64` and `aarch64` architectures as a wheel according to PEP-513_ guidelines. PEP-656_ is supported solely for `x86_64` at the moment. Minimum Python version is 3.9.

.. code:: bash

    $ pip install clipspy

macOS
+++++

Apple Intel and Silicon are supported for Python versions starting from 3.9.

.. code:: bash

    $ pip install clipspy

Windows
+++++++

CLIPSPy comes as a wheel for Python versions starting from 3.9.

.. code:: batch

    > pip install clipspy

Building from sources
+++++++++++++++++++++

The provided Makefiles take care of retrieving the CLIPS source code and compiling the Python bindings together with it.

.. code:: bash

    $ make
    # make install

Please check the documentation_ for more information regarding building CLIPSPy from sources.

Example
-------

.. code:: python

    import clips

    DEFTEMPLATE_STRING = """
    (deftemplate person
      (slot name (type STRING))
      (slot surname (type STRING))
      (slot birthdate (type SYMBOL)))
    """

    DEFRULE_STRING = """
    (defrule hello-world
      "Greet a new person."
      (person (name ?name) (surname ?surname))
      =>
      (println "Hello " ?name " " ?surname))
    """

    environment = clips.Environment()

    # define constructs
    environment.build(DEFTEMPLATE_STRING)
    environment.build(DEFRULE_STRING)

    # retrieve the fact template
    template = environment.find_template('person')

    # assert a new fact through its template
    fact = template.assert_fact(name='John',
                                surname='Doe',
                                birthdate=clips.Symbol('01/01/1970'))

    # fact slots can be accessed as dictionary elements
    assert fact['name'] == 'John'

    # execute the activations in the agenda
    environment.run()

.. _CLIPS: http://www.clipsrules.net/
.. _CFFI: https://cffi.readthedocs.io/en/latest/index.html
.. _PEP-513: https://www.python.org/dev/peps/pep-0513/
.. _PEP-656: https://peps.python.org/pep-0656/
.. _documentation: https://clipspy.readthedocs.io
