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Building a minimal plugin architecture in Python

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How do plugins work in Python?

The Application's plugin framework works for both internal and external plugins. We define internal plugins in the application code. External plugins are initialized and passed into the application at runtime. Each plugin inherits from the base Python object and has a process() method.

What is plugin based architecture?

A plug-in is a bundle that adds functionality to an application, called the host application, through some well-defined architecture for extensibility. This allows third-party developers to add functionality to an application without having access to the source code.

What is Yapsy?

Project description. Yapsy is a small library implementing the core mechanisms needed to build a plugin system into a wider application. The main purpose is to depend only on Python's standard libraries and to implement only the basic functionalities needed to detect, load and keep track of several plugins.


Mine is, basically, a directory called "plugins" which the main app can poll and then use imp.load_module to pick up files, look for a well-known entry point possibly with module-level config params, and go from there. I use file-monitoring stuff for a certain amount of dynamism in which plugins are active, but that's a nice-to-have.

Of course, any requirement that comes along saying "I don't need [big, complicated thing] X; I just want something lightweight" runs the risk of re-implementing X one discovered requirement at a time. But that's not to say you can't have some fun doing it anyway :)


module_example.py:

def plugin_main(*args, **kwargs):
    print args, kwargs

loader.py:

def load_plugin(name):
    mod = __import__("module_%s" % name)
    return mod

def call_plugin(name, *args, **kwargs):
    plugin = load_plugin(name)
    plugin.plugin_main(*args, **kwargs)

call_plugin("example", 1234)

It's certainly "minimal", it has absolutely no error checking, probably countless security problems, it's not very flexible - but it should show you how simple a plugin system in Python can be..

You probably want to look into the imp module too, although you can do a lot with just __import__, os.listdir and some string manipulation.


Have a look at at this overview over existing plugin frameworks / libraries, it is a good starting point. I quite like yapsy, but it depends on your use-case.


While that question is really interesting, I think it's fairly hard to answer, without more details. What sort of application is this? Does it have a GUI? Is it a command-line tool? A set of scripts? A program with an unique entry point, etc...

Given the little information I have, I will answer in a very generic manner.

What means do you have to add plugins?

  • You will probably have to add a configuration file, which will list the paths/directories to load.
  • Another way would be to say "any files in that plugin/ directory will be loaded", but it has the inconvenient to require your users to move around files.
  • A last, intermediate option would be to require all plugins to be in the same plugin/ folder, and then to active/deactivate them using relative paths in a config file.

On a pure code/design practice, you'll have to determine clearly what behavior/specific actions you want your users to extend. Identify the common entry point/a set of functionalities that will always be overridden, and determine groups within these actions. Once this is done, it should be easy to extend your application,

Example using hooks, inspired from MediaWiki (PHP, but does language really matters?):

import hooks

# In your core code, on key points, you allow user to run actions:
def compute(...):
    try:
        hooks.runHook(hooks.registered.beforeCompute)
    except hooks.hookException:
        print('Error while executing plugin')

    # [compute main code] ...

    try:
        hooks.runHook(hooks.registered.afterCompute)
    except hooks.hookException:
        print('Error while executing plugin')

# The idea is to insert possibilities for users to extend the behavior 
# where it matters.
# If you need to, pass context parameters to runHook. Remember that
# runHook can be defined as a runHook(*args, **kwargs) function, not
# requiring you to define a common interface for *all* hooks. Quite flexible :)

# --------------------

# And in the plugin code:
# [...] plugin magic
def doStuff():
    # ....
# and register the functionalities in hooks

# doStuff will be called at the end of each core.compute() call
hooks.registered.afterCompute.append(doStuff)

Another example, inspired from mercurial. Here, extensions only add commands to the hg commandline executable, extending the behavior.

def doStuff(ui, repo, *args, **kwargs):
    # when called, a extension function always receives:
    # * an ui object (user interface, prints, warnings, etc)
    # * a repository object (main object from which most operations are doable)
    # * command-line arguments that were not used by the core program

    doMoreMagicStuff()
    obj = maybeCreateSomeObjects()

# each extension defines a commands dictionary in the main extension file
commands = { 'newcommand': doStuff }

For both approaches, you might need common initialize and finalize for your extension. You can either use a common interface that all your extension will have to implement (fits better with second approach; mercurial uses a reposetup(ui, repo) that is called for all extension), or use a hook-kind of approach, with a hooks.setup hook.

But again, if you want more useful answers, you'll have to narrow down your question ;)


Marty Allchin's simple plugin framework is the base I use for my own needs. I really recommand to take a look at it, I think it is really a good start if you want something simple and easily hackable. You can find it also as a Django Snippets.