mqtasks

Message Queue Tasks

This module provides a framework for handling and processing asynchronous tasks through message queues.

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Overview

• Utilizes the aio_pika library for AMQP message processing.
• Offers easy-to-use decorators and methods for defining tasks, producing and consuming them.
• Built with asynchronous patterns to allow seamless scalability.

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Requirements

• Python 3.11+
• aio_pika library
• RabbitMQ or other AMQP broker

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Usage

1. Defining a Task

To define a task, instantiate the MqTasks object and use the task decorator:

import mqtasks

mq_tasks = MqTasks(amqp_connection="amqp://localhost", queue_name="my_queue")

@mq_tasks.task(name="my_task")
def my_task_function(ctx: MqTaskContext):
    # Process task
    pass

mq_tasks.run()

2. Sending a Task

Instantiate MqTasksClient and use it to send a task:

import asyncio
import mqtasks

client = MqTasksClient(
    loop=asyncio.get_event_loop(),
    amqp_connection="amqp://localhost"
)

# define channel
channel = await client.queue(queue_name="my_queue")

#
result = await channel.request_task_async(task_name="my_task", body={"message": "hello world"})

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Examples:

How to start example:

• Work dir: ./example
  • cd ./example
• Start RabbitMQ
  1. docker pull rabbitmq:management
  2. docker run -d --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:management
• Access the RabbitMQ management web UI:
  • http://localhost:15672/
• By default, the credentials are:
  • Username: guest
  • Password: guest
• Server
  • python example_server.py
• Client
  • python example_client.py

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License

MIT License