A python package exposing the class composition design pattern
This module exposes the composite design pattern in an easy to use way which attempts to minimalise the repetitive overhead.
The composite design pattern is an alternative to top-down inheritance when there is no clear hierarchical chain. Examples might include assigning roles to entities - where an entity can have any variation of roles.
Methods between composite parts can return all manor of variable types, therefore xcomposite gives you a library of decorators which you can utilise to define how the collective set of results should be wrangled and returned.
Note: This is currently pre-release
You can install this using pip:
pip install xcomposite
Alternatively you can get the source from: https://github.com/mikemalinowski/xcomposite
You can utilise this pattern like this:
import xcomposite # -- Inheriting off the composition class means that your class can # -- immediately bind any other class of a Composition type. # -- You should declare (through composite decorators) what the # -- expactation is of any bound methods. This allows you to tailor # -- exactly how the results should be combined/returned. class A(xcomposite.Composition): @xcomposite.Extend def items(self): return ['a', 'b'] class B(xcomposite.Composition): @xcomposite.Extend def items(self): return ['x', 'y'] # -- Instance any one of the classes, and bind it to the instance # -- of the other a = A() a.bind(B()) # -- Call the items method, noting that the result is the expected # -- list of items from the 'items' call of both A and B print(a.items()) # Prints ['a', 'b', 'x', 'y']
The above example shows how this module can be used when you have the ability to structure your classes with the composition module in mind. However if you are using classes which you can only use passively you can take the following approach:
import xcomposite # -- Define a class which we do not want to have inheriting # -- with decorators. This examplifies a situation where the # -- classes to be bound are third-party. class A(object): def items(self): return ['a', 'b'] def count(self): return 2 class B(object): def items(self): return ['x', 'y'] def count(self): return 3 # -- Because we cannot bind directly within the A or B class # -- we instead define a composition wrapper. This is much like # -- an abstract - it has no functionality but declares which # -- methods should be considered bound and how they should be # -- handled. class Wrapper(xcomposite.Composition): @xcomposite.Extend def items(self): # -- Note that this wrapper forms part of the composite # -- but we do not want its return values passed through xcomposite return xcomposite.Ignore @xcomposite.Sum def count(self): return xcomposite.Ignore # -- Instance our wrapper and bind an instance of A and B to it inst = Wrapper() inst.bind(A()) inst.bind(B()) # -- Call the items method, noting that the result is the expected # -- list of items from the 'items' call of both A and B print(inst.items()) # Prints ['a', 'b', 'x', 'y'] # -- Printing count gives us 5, because we decorate with a Sum # -- decorator meaning all the values will be added together print(inst.count()) # Prints 5
There are two examples which come packaged with the module which attempt to demonstrate simple use-cases which just print output for inspection. You can run these demos with the following code:
from xcomposite.examples import game game.demo()
from xcomposite.examples import personnel personnel.demo()
Testing and Stability
There are currently unittests which cover most of composite's core, but it is not yet exhaustive.
This has been tested under Python 2.7.13 and Python 3.6.6 on both Ubuntu and Windows.
If you would like to contribute thoughts, ideas, fixes or features please get in touch! firstname.lastname@example.org
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