python-dispatch

Lightweight Event Handling


Keywords
event, properties, dispatch, asyncio, dispatcher, event-dispatcher, events, observer-pattern, python, python-library, signals
License
MIT
Install
pip install python-dispatch==0.1.32

Documentation

python-dispatch

Lightweight event handling for Python

Build StatusCoverage StatusPyPI versionGitHub license

Description

This is an implementation of the "Observer Pattern" with inspiration from the Kivy framework. Many of the features though are intentionally stripped down and more generalized. The goal is to have a simple drop-in library with no dependencies that stays out of the programmer's way.

Installation

"python-dispatch" is available on PyPI and can be installed using pip:

pip install python-dispatch

Python Requirements

After version 0.1 of this project, only Python 3.6 and above will be supported. If using an older Python version, the older releases should still be available on PyPI and the correct package should be chosen automatically by pip. If not, either upgrade pip and setuptools:

pip install -U pip setuptools

Or specify the version manually:

pip install python-dispatch<0.2

Links

Project Home https://github.com/nocarryr/python-dispatch
PyPI https://pypi.python.org/pypi/python-dispatch
Documentation https://python-dispatch.readthedocs.io

Usage

Events

>>> from pydispatch import Dispatcher

>>> class MyEmitter(Dispatcher):
...     # Events are defined in classes and subclasses with the '_events_' attribute
...     _events_ = ['on_state', 'new_data']
...     def do_some_stuff(self):
...         # do stuff that makes new data
...         data = {'foo':'bar'}
...         # Then emit the change with optional positional and keyword arguments
...         self.emit('new_data', data=data)

>>> # An observer - could inherit from Dispatcher or any other class
>>> class MyListener(object):
...     def on_new_data(self, *args, **kwargs):
...         data = kwargs.get('data')
...         print('I got data: {}'.format(data))
...     def on_emitter_state(self, *args, **kwargs):
...         print('emitter state changed')

>>> emitter = MyEmitter()
>>> listener = MyListener()

>>> # Bind to the "on_state" and "new_data" events of emitter
>>> emitter.bind(on_state=listener.on_emitter_state)
>>> emitter.bind(new_data=listener.on_new_data)

>>> emitter.do_some_stuff()
I got data: {'foo': 'bar'}
>>> emitter.emit('on_state')
emitter state changed

Properties

>>> from pydispatch import Dispatcher, Property

>>> class MyEmitter(Dispatcher):
...     # Property objects are defined and named at the class level.
...     # They will become instance attributes that will emit events when their values change
...     name = Property()
...     value = Property()

>>> class MyListener(object):
...     def on_name(self, instance, value, **kwargs):
...         print('emitter name is {}'.format(value))
...     def on_value(self, instance, value, **kwargs):
...         print('emitter value is {}'.format(value))

>>> emitter = MyEmitter()
>>> listener = MyListener()

>>> # Bind to the "name" and "value" properties of emitter
>>> emitter.bind(name=listener.on_name, value=listener.on_value)

>>> # Set emitter.name property (triggering the on_name callback)
>>> emitter.name = 'foo'
emitter name is foo

>>> # Set emitter.value (triggering the on_value callback)
>>> emitter.value = 42
emitter value is 42

Contributing

Contributions are welcome!

If you want to contribute through code or documentation, please see the Contributing Guide for information.

License

This project is released under the MIT License. See the LICENSE file for more information.