Patterns and helpers

Note

Available since aio-pika>=1.7.0

aio_pika includes some useful patterns for creating distributed systems.

Master/Worker

Helper which implements Master/Worker pattern. This applicable for balancing tasks between multiple workers.

The master creates tasks:

import asyncio
from aio_pika import connect_robust
from aio_pika.patterns import Master


async def main():
    connection = await connect_robust(
        "amqp://guest:guest@127.0.0.1/"
    )

    async with connection:
        # Creating channel
        channel = await connection.channel()

        master = Master(channel)

        # Creates tasks by proxy object
        for task_id in range(1000):
            await master.proxy.my_task_name(task_id=task_id)

        # Or using create_task method
        for task_id in range(1000):
            await master.create_task(
                'my_task_name', kwargs=dict(task_id=task_id)
            )


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

Worker code:

import asyncio
from aio_pika import connect_robust
from aio_pika.patterns import Master, RejectMessage, NackMessage


async def worker(*, task_id):
    # If you want to reject message or send
    # nack you might raise special exception

    if task_id % 2 == 0:
        raise RejectMessage(requeue=False)

    if task_id % 2 == 1:
        raise NackMessage(requeue=False)

    print(task_id)


async def main():
    connection = await connect_robust("amqp://guest:guest@127.0.0.1/")

    # Creating channel
    channel = await connection.channel()

    master = Master(channel)
    await master.create_worker('my_task_name', worker, auto_delete=True)

    return connection


if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    connection = loop.run_until_complete(main())
    try:
        loop.run_forever()
    finally:
        loop.run_until_complete(connection.close())

The one or multiple workers executes tasks.

RPC

Helper which implements Remote Procedure Call pattern. This applicable for balancing tasks between multiple workers.

The caller creates tasks and awaiting results:

import asyncio
from aio_pika import connect_robust
from aio_pika.patterns import RPC


async def main():
    connection = await connect_robust(
        "amqp://guest:guest@127.0.0.1/"
    )

    async with connection:
        # Creating channel
        channel = await connection.channel()

        rpc = await RPC.create(channel)

        # Creates tasks by proxy object
        for i in range(1000):
            print(await rpc.proxy.multiply(x=100, y=i))

        # Or using create_task method
        for i in range(1000):
            print(
                await rpc.call(
                    'multiply', kwargs=dict(x=100, y=i)
                )
            )


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

One or multimple callees executing tasks:

import asyncio
from aio_pika import connect_robust
from aio_pika.patterns import RPC


async def multiply(*, x, y):
    return x * y


async def main():
    connection = await connect_robust(
        "amqp://guest:guest@127.0.0.1/"
    )

    # Creating channel
    channel = await connection.channel()

    rpc = await RPC.create(channel)
    await rpc.register('multiply', multiply, auto_delete=True)

    return connection


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

    try:
        loop.run_forever()
    finally:
        loop.run_until_complete(connection.close())
        loop.shutdown_asyncgens()