Expert Systems for Python Maintained by Ceylon AI
Project description
Experta is a Python library for building expert systems strongly inspired by CLIPS.
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"])
>>> 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.
TODO
CHANGELOG
1.9.4
Resolved #10. Corner case in DepthStrategy in which the first activation of the agenda didn’t get removed.
1.9.3
Resolved #11 that was introduced with #7, that caused the same behavior under different conditions.
1.9.2
Resolved #7. In some situations last activation was removed right after entering the agenda.
1.9.1
Resolved #3. Rules should not be called with already retracted facts.
1.9.0
Drop Python 3.4 support.
Use setup.cfg to save all package metadata.
1.8.0-1.8.2
Rebranded to Experta.
1.7.0
Implemented the template system.
Replaced warnings by watchers messages.
Fixed freeze() with frozen objects.
Fixed unfreeze() with unfrozen objects.
Parametrized DefFacts via reset() kwargs.
1.6.0
Improved overall performance.
1.5.0
Added Python version 3.7 to tox.ini.
Monkey and bananas example.
Fixed bug, numeric index args gets repeated in a weird way introduced in 1.4.0.
Pass only the defined args in absence of kwargs.
1.4.0
Order integer facts keys after making a copy.
as_dict method for Fact.
freeze and unfreeze method documentation.
unfreeze method in pyknow.utils.
Zebra example from Clips.
1.3.0
pyknow.operator module.
Nested matching.
Added Talk ‘Sistemas Expertos en Python con PyKnow - PyConES 2017’ to docs folder.
1.2.0
Freeze fact values as the default behavior to address Issue #9.
Added pyknow.utils.anyof to mitigate Issue #7.
Raise RuntimeError if a fact value is modified after declare().
Added MATCH and AS objects.
1.1.1
Removing the borg optimization for P field constraints.
Use the hash of the check in the sorting of the nodes to always generate the same alpha part of the network.
1.1.0
Allow any kind of callable in Predicate Field Constraints (P()).
1.0.1
DNF of OR clause inside AND or Rule was implemented wrong.
1.0.0
RETE matching algorithm.
Better Rule decorator system.
Facts are dictionaries.
Documentation.
<1.0.0
Unestable API.
Wrong matching algorithm.
Bad performance
PLEASE DON’T USE THIS.
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