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blackboard.py
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137 lines (105 loc) · 4.31 KB
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"""
@author: Eugene Duboviy <eugene.dubovoy@gmail.com> | github.com/duboviy
In Blackboard pattern several specialised sub-systems (knowledge sources)
assemble their knowledge to build a possibly partial or approximate solution.
In this way, the sub-systems work together to solve the problem,
where the solution is the sum of its parts.
https://en.wikipedia.org/wiki/Blackboard_system
"""
from abc import ABC, abstractmethod
import random
class AbstractExpert(ABC):
"""Abstract class for experts in the blackboard system."""
@abstractmethod
def __init__(self, blackboard) -> None:
self.blackboard = blackboard
@property
@abstractmethod
def is_eager_to_contribute(self) -> int:
raise NotImplementedError("Must provide implementation in subclass.")
@abstractmethod
def contribute(self) -> None:
raise NotImplementedError("Must provide implementation in subclass.")
class Blackboard:
"""The blackboard system that holds the common state."""
def __init__(self) -> None:
self.experts: list = []
self.common_state = {
"problems": 0,
"suggestions": 0,
"contributions": [],
"progress": 0, # percentage, if 100 -> task is finished
}
def add_expert(self, expert: AbstractExpert) -> None:
self.experts.append(expert)
class Controller:
"""The controller that manages the blackboard system."""
def __init__(self, blackboard: Blackboard) -> None:
self.blackboard = blackboard
def run_loop(self):
"""
This function is a loop that runs until the progress reaches 100.
It checks if an expert is eager to contribute and then calls its contribute method.
"""
while self.blackboard.common_state["progress"] < 100:
for expert in self.blackboard.experts:
if expert.is_eager_to_contribute:
expert.contribute()
return self.blackboard.common_state["contributions"]
class Student(AbstractExpert):
"""Concrete class for a student expert."""
def __init__(self, blackboard) -> None:
super().__init__(blackboard)
@property
def is_eager_to_contribute(self) -> bool:
return True
def contribute(self) -> None:
self.blackboard.common_state["problems"] += random.randint(1, 10)
self.blackboard.common_state["suggestions"] += random.randint(1, 10)
self.blackboard.common_state["contributions"] += [self.__class__.__name__]
self.blackboard.common_state["progress"] += random.randint(1, 2)
class Scientist(AbstractExpert):
"""Concrete class for a scientist expert."""
def __init__(self, blackboard) -> None:
super().__init__(blackboard)
@property
def is_eager_to_contribute(self) -> int:
return random.randint(0, 1)
def contribute(self) -> None:
self.blackboard.common_state["problems"] += random.randint(10, 20)
self.blackboard.common_state["suggestions"] += random.randint(10, 20)
self.blackboard.common_state["contributions"] += [self.__class__.__name__]
self.blackboard.common_state["progress"] += random.randint(10, 30)
class Professor(AbstractExpert):
def __init__(self, blackboard) -> None:
super().__init__(blackboard)
@property
def is_eager_to_contribute(self) -> bool:
return True if self.blackboard.common_state["problems"] > 100 else False
def contribute(self) -> None:
self.blackboard.common_state["problems"] += random.randint(1, 2)
self.blackboard.common_state["suggestions"] += random.randint(10, 20)
self.blackboard.common_state["contributions"] += [self.__class__.__name__]
self.blackboard.common_state["progress"] += random.randint(10, 100)
def main():
"""
>>> blackboard = Blackboard()
>>> blackboard.add_expert(Student(blackboard))
>>> blackboard.add_expert(Scientist(blackboard))
>>> blackboard.add_expert(Professor(blackboard))
>>> c = Controller(blackboard)
>>> contributions = c.run_loop()
>>> from pprint import pprint
>>> pprint(contributions)
['Student',
'Scientist',
'Student',
'Scientist',
'Student',
'Scientist',
'Professor']
"""
if __name__ == "__main__":
random.seed(1234) # for deterministic doctest outputs
import doctest
doctest.testmod()