Metadata-Version: 2.4
Name: aio-pika
Version: 9.5.8
Summary: Wrapper around the aiormq for asyncio and humans
License: Apache-2.0
License-File: COPYING
Keywords: rabbitmq,asyncio,amqp,amqp 0.9.1,aiormq
Author: Dmitry Orlov
Author-email: me@mosquito.su
Requires-Python: >=3.10,<4.0
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Internet
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Typing :: Typed
Requires-Dist: aiormq (>=6.8,<7.0)
Requires-Dist: exceptiongroup (>=1,<2) ; python_version < "3.11"
Requires-Dist: typing-extensions ; python_version < "3.10"
Requires-Dist: yarl
Project-URL: Documentation, https://docs.aio-pika.com/
Project-URL: Homepage, https://github.com/mosquito/aio-pika
Project-URL: Source, https://github.com/mosquito/aio-pika
Project-URL: Tracker, https://github.com/mosquito/aio-pika/issues
Description-Content-Type: text/x-rst

.. _documentation: https://docs.aio-pika.com/
.. _adopted official RabbitMQ tutorial: https://docs.aio-pika.com/rabbitmq-tutorial/index.html


aio-pika
========

.. image:: https://coveralls.io/repos/github/mosquito/aio-pika/badge.svg?branch=master
    :target: https://coveralls.io/github/mosquito/aio-pika
    :alt: Coveralls

.. image:: https://github.com/mosquito/aio-pika/workflows/tests/badge.svg
    :target: https://github.com/mosquito/aio-pika/actions?query=workflow%3Atests
    :alt: Github Actions

.. image:: https://img.shields.io/pypi/v/aio-pika.svg
    :target: https://pypi.python.org/pypi/aio-pika/
    :alt: Latest Version

.. image:: https://img.shields.io/pypi/wheel/aio-pika.svg
    :target: https://pypi.python.org/pypi/aio-pika/

.. image:: https://img.shields.io/pypi/pyversions/aio-pika.svg
    :target: https://pypi.python.org/pypi/aio-pika/

.. image:: https://img.shields.io/pypi/l/aio-pika.svg
    :target: https://pypi.python.org/pypi/aio-pika/


A wrapper around `aiormq`_ for asyncio and humans.

Check out the examples and the tutorial in the `documentation`_.

If you are a newcomer to RabbitMQ, please start with the `adopted official RabbitMQ tutorial`_.

.. _aiormq: http://github.com/mosquito/aiormq/

.. note::
   Since version ``5.0.0`` this library doesn't use ``pika`` as AMQP connector.
   Versions below ``5.0.0`` contains or requires ``pika``'s source code.

.. note::
   The version 7.0.0 has breaking API changes, see CHANGELOG.md
   for migration hints.


Features
--------

* Completely asynchronous API.
* Object oriented API.
* Transparent auto-reconnects with complete state recovery with `connect_robust`
  (e.g. declared queues or exchanges, consuming state and bindings).
* Python 3.7+ compatible.
* For python 3.5 users, aio-pika is available via `aio-pika<7`.
* Transparent `publisher confirms`_ support.
* `Transactions`_ support.
* Complete type-hints coverage.


.. _Transactions: https://www.rabbitmq.com/semantics.html
.. _publisher confirms: https://www.rabbitmq.com/confirms.html


Installation
------------

.. code-block:: shell

    pip install aio-pika


Usage example
-------------

Simple consumer:

.. code-block:: python

    import asyncio
    import aio_pika
    import aio_pika.abc


    async def main(loop):
        # Connecting with the given parameters is also possible.
        # aio_pika.connect_robust(host="host", login="login", password="password")
        # You can only choose one option to create a connection, url or kw-based params.
        connection: aio_pika.abc.AbstractRobustConnection = await aio_pika.connect_robust(
            "amqp://guest:guest@127.0.0.1/", loop=loop
        )

        async with connection:
            queue_name = "test_queue"

            # Creating channel
            channel: aio_pika.abc.AbstractChannel = await connection.channel()

            # Declaring queue
            queue: aio_pika.abc.AbstractQueue = await channel.declare_queue(
                queue_name,
                auto_delete=True
            )

            async with queue.iterator() as queue_iter:
                # Cancel consuming after __aexit__
                async for message in queue_iter:
                    async with message.process():
                        print(message.body)

                        if queue.name in message.body.decode():
                            break


    if __name__ == "__main__":
        loop = asyncio.get_event_loop()
        loop.run_until_complete(main(loop))
        loop.close()

Simple publisher:

.. code-block:: python

    import asyncio
    import aio_pika
    import aio_pika.abc


    async def main(loop):
        # Explicit type annotation
        connection: aio_pika.abc.AbstractRobustConnection = await aio_pika.connect_robust(
            "amqp://guest:guest@127.0.0.1/", loop=loop
        )

        routing_key = "test_queue"

        channel: aio_pika.abc.AbstractChannel = await connection.channel()

        await channel.default_exchange.publish(
            aio_pika.Message(
                body='Hello {}'.format(routing_key).encode()
            ),
            routing_key=routing_key
        )

        await connection.close()


    if __name__ == "__main__":
        loop = asyncio.get_event_loop()
        loop.run_until_complete(main(loop))
        loop.close()


Get single message example:

.. code-block:: python

    import asyncio
    import aio_pika.abc
    from aio_pika import connect_robust, Message


    async def main(loop):
        connection: aio_pika.abc.AbstractRobustConnection = await connect_robust(
            "amqp://guest:guest@127.0.0.1/",
            loop=loop
        )

        queue_name = "test_queue"
        routing_key = "test_queue"

        # Creating channel
        channel = await connection.channel()

        # Declaring exchange
        exchange = await channel.declare_exchange('direct', auto_delete=True)

        # Declaring queue
        queue = await channel.declare_queue(queue_name, auto_delete=True)

        # Binding queue
        await queue.bind(exchange, routing_key)

        await exchange.publish(
            Message(
                bytes('Hello', 'utf-8'),
                content_type='text/plain',
                headers={'foo': 'bar'}
            ),
            routing_key
        )

        # Receiving message
        incoming_message = await queue.get(timeout=5)

        # Confirm message
        await incoming_message.ack()

        await queue.unbind(exchange, routing_key)
        await queue.delete()
        await connection.close()


    if __name__ == "__main__":
        loop = asyncio.get_event_loop()
        loop.run_until_complete(main(loop))


There are more examples and the RabbitMQ tutorial in the `documentation`_.

See also
==========

`aiormq`_
---------

`aiormq` is a pure python AMQP client library. It is under the hood of **aio-pika** and might to be used when you really loving works with the protocol low level.
Following examples demonstrates the user API.

Simple consumer:

.. code-block:: python

    import asyncio
    import aiormq

    async def on_message(message):
        """
        on_message doesn't necessarily have to be defined as async.
        Here it is to show that it's possible.
        """
        print(f" [x] Received message {message!r}")
        print(f"Message body is: {message.body!r}")
        print("Before sleep!")
        await asyncio.sleep(5)   # Represents async I/O operations
        print("After sleep!")

    async def main():
        # Perform connection
        connection = await aiormq.connect("amqp://guest:guest@localhost/")

        # Creating a channel
        channel = await connection.channel()

        # Declaring queue
        declare_ok = await channel.queue_declare('helo')
        consume_ok = await channel.basic_consume(
            declare_ok.queue, on_message, no_ack=True
        )

    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())
    loop.run_forever()

Simple publisher:

.. code-block:: python

    import asyncio
    from typing import Optional

    import aiormq
    from aiormq.abc import DeliveredMessage

    MESSAGE: Optional[DeliveredMessage] = None

    async def main():
        global MESSAGE
        body = b'Hello World!'

        # Perform connection
        connection = await aiormq.connect("amqp://guest:guest@localhost//")

        # Creating a channel
        channel = await connection.channel()
        declare_ok = await channel.queue_declare("hello", auto_delete=True)

        # Sending the message
        await channel.basic_publish(body, routing_key='hello')
        print(f" [x] Sent {body}")

        MESSAGE = await channel.basic_get(declare_ok.queue)
        print(f" [x] Received message from {declare_ok.queue!r}")

    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

    assert MESSAGE is not None
    assert MESSAGE.routing_key == "hello"
    assert MESSAGE.body == b'Hello World!'

The `patio`_ and the `patio-rabbitmq`_
--------------------------------------

**PATIO** is an acronym for Python Asynchronous Tasks for AsyncIO - an easily extensible library, for distributed task execution, like celery, only targeting asyncio as the main design approach.

**patio-rabbitmq** provides you with the ability to use *RPC over RabbitMQ* services with extremely simple implementation:

.. code-block:: python

   from patio import Registry, ThreadPoolExecutor
   from patio_rabbitmq import RabbitMQBroker

   rpc = Registry(project="patio-rabbitmq", auto_naming=False)

   @rpc("sum")
   def sum(*args):
       return sum(args)

   async def main():
       async with ThreadPoolExecutor(rpc, max_workers=16) as executor:
           async with RabbitMQBroker(
               executor, amqp_url="amqp://guest:guest@localhost/",
           ) as broker:
               await broker.join()

And the caller side might be written like this:

.. code-block:: python

    import asyncio
    from patio import NullExecutor, Registry
    from patio_rabbitmq import RabbitMQBroker

    async def main():
        async with NullExecutor(Registry(project="patio-rabbitmq")) as executor:
            async with RabbitMQBroker(
                executor, amqp_url="amqp://guest:guest@localhost/",
            ) as broker:
                print(await asyncio.gather(
                    *[
                        broker.call("mul", i, i, timeout=1) for i in range(10)
                     ]
                ))


`FastStream`_
---------------

**FastStream** is a powerful and easy-to-use Python library for building asynchronous services that interact with event streams..

If you need no deep dive into **RabbitMQ** details, you can use more high-level **FastStream** interfaces:

.. code-block:: python

   from faststream import FastStream
   from faststream.rabbit import RabbitBroker

   broker = RabbitBroker("amqp://guest:guest@localhost:5672/")
   app = FastStream(broker)

   @broker.subscriber("user")
   async def user_created(user_id: int):
       assert isinstance(user_id, int)
       return f"user-{user_id}: created"

   @app.after_startup
   async def pub_smth():
       assert (
           await broker.publish(1, "user", rpc=True)
       ) ==  "user-1: created"

Also, **FastStream** validates messages by **pydantic**, generates your project **AsyncAPI** spec, supports In-Memory testing, RPC calls, and more.

In fact, it is a high-level wrapper on top of **aio-pika**, so you can use both of these libraries' advantages at the same time.

`python-socketio`_
------------------

`Socket.IO`_ is a transport protocol that enables real-time bidirectional event-based communication between clients (typically, though not always, web browsers) and a server. This package provides Python implementations of both, each with standard and asyncio variants.

Also this package is suitable for building messaging services over **RabbitMQ** via **aio-pika** adapter:

.. code-block:: python

   import socketio
   from aiohttp import web

   sio = socketio.AsyncServer(client_manager=socketio.AsyncAioPikaManager())
   app = web.Application()
   sio.attach(app)

   @sio.event
   async def chat_message(sid, data):
       print("message ", data)

   if __name__ == '__main__':
       web.run_app(app)

And a client is able to call `chat_message` the following way:

.. code-block:: python

   import asyncio
   import socketio

   sio = socketio.AsyncClient()

   async def main():
       await sio.connect('http://localhost:8080')
       await sio.emit('chat_message', {'response': 'my response'})

   if __name__ == '__main__':
       asyncio.run(main())

The `taskiq`_ and the `taskiq-aio-pika`_
----------------------------------------

**Taskiq** is an asynchronous distributed task queue for python. The project takes inspiration from big projects such as Celery and Dramatiq. But taskiq can send and run both the sync and async functions.

The library provides you with **aio-pika** broker for running tasks too.

.. code-block:: python

   from taskiq_aio_pika import AioPikaBroker

   broker = AioPikaBroker()

   @broker.task
   async def test() -> None:
       print("nothing")

   async def main():
       await broker.startup()
       await test.kiq()

`Rasa`_
-------

With over 25 million downloads, Rasa Open Source is the most popular open source framework for building chat and voice-based AI assistants.

With **Rasa**, you can build contextual assistants on:

* Facebook Messenger
* Slack
* Google Hangouts
* Webex Teams
* Microsoft Bot Framework
* Rocket.Chat
* Mattermost
* Telegram
* Twilio

Your own custom conversational channels or voice assistants as:

* Alexa Skills
* Google Home Actions

**Rasa** helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – **Rasa** enables you to build assistants that can do this in a scalable way.

And it also uses **aio-pika** to interact with **RabbitMQ** deep inside!

Versioning
==========

This software follows `Semantic Versioning`_


For contributors
----------------

Setting up development environment
__________________________________

Clone the project:

.. code-block:: shell

    git clone https://github.com/mosquito/aio-pika.git
    cd aio-pika

Create a new virtualenv for `aio-pika`_:

.. code-block:: shell

    python3 -m venv env
    source env/bin/activate

Install all requirements for `aio-pika`_:

.. code-block:: shell

    pip install -e '.[develop]'


Running Tests
_____________

**NOTE: In order to run the tests locally you need to run a RabbitMQ instance with default user/password (guest/guest) and port (5672).**

The Makefile provides a command to run an appropriate RabbitMQ Docker image:

.. code-block:: bash

    make rabbitmq

To test just run:

.. code-block:: bash

    make test


Editing Documentation
_____________________

To iterate quickly on the documentation live in your browser, try:

.. code-block:: bash

    nox -s docs -- serve

Creating Pull Requests
______________________

Please feel free to create pull requests, but you should describe your use cases and add some examples.

Changes should follow a few simple rules:

* When your changes break the public API, you must increase the major version.
* When your changes are safe for public API (e.g. added an argument with default value)
* You have to add test cases (see `tests/` folder)
* You must add docstrings
* Feel free to add yourself to `"thank's to" section`_


.. _"thank's to" section: https://github.com/mosquito/aio-pika/blob/master/docs/source/index.rst#thanks-for-contributing
.. _Semantic Versioning: http://semver.org/
.. _aio-pika: https://github.com/mosquito/aio-pika/
.. _faststream: https://github.com/airtai/faststream
.. _patio: https://github.com/patio-python/patio
.. _patio-rabbitmq: https://github.com/patio-python/patio-rabbitmq
.. _Socket.IO: https://socket.io/
.. _python-socketio: https://python-socketio.readthedocs.io/en/latest/intro.html
.. _taskiq: https://github.com/taskiq-python/taskiq
.. _taskiq-aio-pika: https://github.com/taskiq-python/taskiq-aio-pika
.. _Rasa: https://rasa.com/docs/rasa/

