abstractfactory

Abstract Factory functionality for Python


Keywords
abstract-factory, patterns, python
License
MIT
Install
pip install abstractfactory==1.0.3

Documentation

Abstract Factory for Python

Copyright (c) 2016-2017 David Betz

Build Status PyPI version

See test_provider.py unit test for usage.

Basically an implementation of an abstract factory pattern.

In one system where I use this, I create factories for eachs type of thing in my system. So, SearchFactory, CloudStorageFactory, QueueFactory, AristotleFactory, etc... These would implement for ID interface like ICloudStorageProvider (in Node, it's just a class).

Each of these would have their own switch/case (or whatever) to create the factory for it. So, for example, I may have config in a YAML file specifying that I want to use Mongo for my Aristotle provider ("Aristotle" is what most people incorrectly call "NoSQL").

To begin, create the factory (do this one for the entirety of your system):

abstractFactory = AbstractFactory()

Then, add your factories:

    abstractFactory.set(SearchFactory)
    abstractFactory.set(CloudStorageFactory)
    abstractFactory.set(QueueFactory)
    abstractFactory.set(AristotleFactory)

When the time comes, just ask for your provider:

provider = abstractFactory.resolve(IAristotleProvider)

Your code SHOULD. NOT. CARE. ABOUT. MONGO. It should the your configuration or something handle that. Don't tightly couple your providers.

Also note that the resolver also accepts various arguments for extra flexibility:

provider = abstractFactory.resolve(IAristotleProvider, "alternateConnectionString", collection="log") 

Despite what random bloggers say, service locators are awesome and provide excellent decoupling.

Look at the Mock examples provided with the tests; they're rather extensive.