Asynchronous clone of https://github.com/asterisk/ari-py
Uses async version of swagger-py
This package contains the Python client library for the Asterisk REST Interface. It builds upon the Swagger.py library, providing an improved, Asterisk-specific API over the API generated by Swagger.py
Install from source using the setup.py
script.
$ sudo ./setup.py install
An async ARI client can be created simply by the aioari.connect
method.
This will create a client based on the Swagger API downloaded from Asterisk.
The API is modeled into the Repository Pattern, as you would find in Domain
Driven Design. Each Swagger Resource (a.k.a. API declaration) is mapped into a
Repository object, which is provided as a field on the client
(client.channels
, client.bridges
).
Responses from Asterisk are mapped into first-class objects, akin to Domain Objects in the Repository Pattern. These are provided both on the responses to RESTful API calls, and for fields from events received over the WebSocket.
Each Repository Object provides methods which invoke the non-instance specific
operations of the associated Swagger resource (bridges.list()
,
channels.get()
). Instance specific methods are also provided, which require
identity parameters to be passed along (channels.get(channelId=id)
).
Instance specific methods are also provided on the Domain Objects
(some_channel.hangup()
).
Asterisk may send asyncronous messages over a WebSocket to indicate events of interest to the application.
The Client
object has an on_event
method, which can be used to
subscribe for specific events from Asterisk.
The first-class objects also have 'on_event' methods, which can subscribe to Stasis events relating to that object.
The Repository Objects exist for the lifetime of the client that owns them.
Domain Objects are ephemeral, and not tied to the lifetime of the underlying
object in Asterisk. Pratically, this means that if you call
channels.get('1234')
several times, you may get a different object back
every time.
You may hold onto an instance of a Domain Object, but you should consider it to be stale. The data contained in the object may be out of date, but the methods on the object should still behave properly.
If you invoke a method on a stale Domain Object that no longer exists in Asterisk, you will get a HTTPError exception (404 Not Found).
The dynamic methods exposed by Repository and Domain objects are, effectively, remote procedure calls. The current implementation is synchronous, which means that if anything were to happen to slow responses (slow network, packet loss, system load, etc.), then the entire application could be affected.
import asyncio
import aioari
client = await aioari.connect('http://localhost:8088/', 'hey', 'peekaboo')
def on_dtmf(channel, event):
digit = event['digit']
if digit == '#':
channel.play(media='sound:goodbye')
channel.continueInDialplan()
elif digit == '*':
channel.play(media='sound:asterisk-friend')
else:
channel.play(media='sound:digits/%s' % digit)
def on_start(channel, event):
channel.on_event('ChannelDtmfReceived', on_dtmf)
channel.answer()
channel.play(media='sound:hello-world')
client.on_channel_event('StasisStart', on_start)
loop = asyncio.get_event_loop()
loop.run_until_complete(client.run(apps="hello"))
The code is documented using Sphinx, which allows IntelliJ IDEA to do a better job at inferring types for autocompletion.
To keep things isolated, I also recommend installing (and using) virtualenv.
$ sudo pip install virtualenv $ mkdir -p ~/virtualenv $ virtualenv ~/virtualenv/ari $ . ~/virtualenv/ari/bin/activate
Setuptools is used for
building. Nose is used
for unit testing, with the coverage plugin installed to
generated code coverage reports. Pass --with-coverage
to generate
the code coverage report. HTML versions of the reports are put in
cover/index.html
.
$ ./setup.py develop # prep for development (install deps, launchers, etc.) $ ./setup.py nosetests # run unit tests $ ./setup.py bdist_egg # build distributable
- Create asynchronous bindings that can be used with Twisted, Tornado, etc.
- Add support for Python 3
Copyright (c) 2013-2014, Digium, Inc. Copyright (c) 2016, Denis Fokin. Copyright (c) 2018, Matthias Urlichs.
aioari is licensed with a BSD 3-Clause License.