pymitter 0.4.2

Python port of the extended Node.js EventEmitter 2 approach providing namespaces, wildcards and TTL.

pymitter

Python port of the extended Node.js EventEmitter 2 approach of https://github.com/asyncly/EventEmitter2 providing namespaces, wildcards and TTL.

Features

• Namespaces with wildcards
• Times to listen (TTL)
• Usage via decorators or callbacks
• Coroutine support
• Lightweight implementation, good performance

Installation

pymitter is a registered PyPI module, so the installation with pip is quite easy:

pip install pymitter

The last version with Python 2 support was v0.3.2 (PyPI).

Examples

Basic usage

from pymitter import EventEmitter


ee = EventEmitter()


# decorator usage
@ee.on("my_event")
def handler1(arg):
    print("handler1 called with", arg)


# callback usage
def handler2(arg):
    print("handler2 called with", arg)


ee.on("my_other_event", handler2)


# support for coroutine functions
@ee.on("my_third_event")
async def handler3(arg):
    print("handler3 called with", arg)


# emit
ee.emit("my_event", "foo")
# -> "handler1 called with foo"

ee.emit("my_other_event", "bar")
# -> "handler2 called with bar"

ee.emit("my_third_event", "baz")
# -> "handler3 called with baz"

Coroutines

Wrapping async functions outside an event loop will start an internal event loop and calls to emit return synchronously.

from pymitter import EventEmitter


ee = EventEmitter()


# register an async function
@ee.on("my_event")
async def handler1(arg):
    print("handler1 called with", arg)


# emit
ee.emit("my_event", "foo")
# -> "handler1 called with foo"

Wrapping async functions inside an event loop will use the same loop and emit_async is awaitable.

from pymitter import EventEmitter


ee = EventEmitter()


async def main():
    # emit_async
    awaitable = ee.emit_async("my_event", "foo")
    # -> nothing printed yet

    await awaitable
    # -> "handler1 called with foo"

Use emit_future to not return awaitable objects but to place them at the end of the existing event loop (using asyncio.ensure_future internally).

TTL (times to listen)

from pymitter import EventEmitter


ee = EventEmitter()


@ee.once("my_event")
def handler1():
    print("handler1 called")


@ee.on("my_event", ttl=2)
def handler2():
    print("handler2 called")


ee.emit("my_event")
# -> "handler1 called"
# -> "handler2 called"

ee.emit("my_event")
# -> "handler2 called"

ee.emit("my_event")
# nothing called anymore

Wildcards

from pymitter import EventEmitter


ee = EventEmitter(wildcard=True)


@ee.on("my_event.foo")
def handler1():
    print("handler1 called")


@ee.on("my_event.bar")
def handler2():
    print("handler2 called")


@ee.on("my_event.*")
def hander3():
    print("handler3 called")


ee.emit("my_event.foo")
# -> "handler1 called"
# -> "handler3 called"

ee.emit("my_event.bar")
# -> "handler2 called"
# -> "handler3 called"

ee.emit("my_event.*")
# -> "handler1 called"
# -> "handler2 called"
# -> "handler3 called"

API

EventEmitter(*, wildcard=False, delimiter=".", new_listener=False, max_listeners=-1)

EventEmitter constructor. Note: always use kwargs for configuration. When wildcard is True, wildcards are used as shown in this example. delimiter is used to seperate namespaces within events. If new_listener is True, the "new_listener" event is emitted every time a new listener is registered. Functions listening to this event are passed (func, event=None). max_listeners defines the maximum number of listeners per event. Negative values mean infinity.

• on(event, func=None, ttl=-1)

  Registers a function to an event. When func is None, decorator usage is assumed. ttl defines the times to listen. Negative values mean infinity. Returns the function.

• once(event, func=None)

  Registers a function to an event with ttl = 1. When func is None, decorator usage is assumed. Returns the function.

• on_any(func=None)

  Registers a function that is called every time an event is emitted. When func is None, decorator usage is assumed. Returns the function.

• off(event, func=None)

  Removes a function that is registered to an event. When func is None, decorator usage is assumed. Returns the function.

• off_any(func=None)

  Removes a function that was registered via on_any(). When func is None, decorator usage is assumed. Returns the function.

• off_all()

  Removes all functions of all events.

• listeners(event)

  Returns all functions that are registered to an event. Wildcards are not applied.

• listeners_any()

  Returns all functions that were registered using on_any().

• listeners_all()

  Returns all registered functions.

• emit(event, *args, **kwargs)

  Emits an event. All functions of events that match event are invoked with args and kwargs in the exact order of their registeration. Async functions are called in a new event loop. There is no return value.

• (async) emit_async(event, *args, **kwargs)

  Emits an event. All functions of events that match event are invoked with args and kwargs in the exact order of their registeration. Awaitable objects returned by async functions are awaited in the outer event loop. Returns an Awaitable.

• emit_future(event, *args, **kwargs)

  Emits an event. All functions of events that match event are invoked with args and kwargs in the exact order of their registeration. Awaitable objects returned by async functions are placed at the end of the event loop using asyncio.ensure_future. There is no return value.

Development

• Source hosted at GitHub
• Python module hosted at PyPI
• Report issues, questions, feature requests on GitHub Issues