Python CFFI bindings for the 'C' Language Integrated Production System CLIPS 6.40.

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.

On Linux, CLIPSPy is packaged for x86_64 architectures as a wheel according to PEP-513 guidelines. Most of the distributions should be supported.

$ [sudo] pip install clipspy

CLIPSPy comes as a wheel for most of the Python versions and architectures.

> pip install clipspy

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

$ make
$ sudo make install

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

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()