MicroRabbit

MicroRabbit is a lightweight, asynchronous Python framework for working with RabbitMQ. It simplifies the process of setting up RabbitMQ consumers and publishers, making it easy to build microservices and distributed systems.

Features

• Asynchronous message handling using asyncio
• Simple decorator-based message routing
• Plugin system for modular code organization
• Easy-to-use client configuration
• Built-in logging support

Installation

pip install microrabbit

Quick Start

Here's a simple example of how to use MicroRabbit:

import asyncio
import logging

from microrabbit import Client
from microrabbit.types import QueueOptions, ConsumerOptions

client = Client(
    host="amqp://guest:guest@localhost/",
    plugins="./plugins"
)

log = logging.getLogger(__file__)
logging.basicConfig(level=logging.INFO)


@Client.on_message("queue_name")
async def test(data: dict) -> dict:
    log.info(f"Received message {data}")
    return {"connected": True}


@Client.on_message("queue_name2", QueueOptions(exclusive=True), ConsumerOptions(no_ack=True))
async def test2(data: dict) -> dict:
    log.info(f"Received message {data}")
    return {"connected": True}


@client.on_ready
async def on_ready():
    log.info("[*] Waiting for messages. To exit press CTRL+C")
    result = await client.simple_publish("queue_name2", {"test": "data"}, timeout=2, decode=True)
    log.info(result)


if __name__ == "__main__":
    asyncio.run(client.run())

Usage

Client Configuration

Create a Client instance with the following parameters:

• host: RabbitMQ server URL
• plugins: Path to the plugins folder (optional)

from microrabbit import Client

client = Client(
    host="amqp://guest:guest@localhost/",
    plugins="./plugins"
)

Message Handling

Use the @Client.on_message decorator to define a message handler. The decorator takes the queue name as an argument.

from microrabbit import Client


@Client.on_message("queue_name")
async def handler(data: dict):
    # Process the message
    return response_data  # Serializeable data

Ready Event

Use the @client.on_ready decorator to define a function that runs when the client is ready:

from microrabbit import Client

client = Client(
    host="amqp://guest:guest@localhost/",
    plugins="./plugins"
)


@client.on_ready
async def on_ready():
    print("Client is ready")

Running the Client

Run the client using asyncio.run(client.run()):

import asyncio
from microrabbit import Client

client = Client(
    host="amqp://guest:guest@localhost/",
    plugins="./plugins"
)

if __name__ == "__main__":
    asyncio.run(client.run())

Publishing Messages

Use the simple_publish method to publish a message to a queue:

result = await client.simple_publish("queue_name", {"test": "data"}, timeout=2, decode=True)

Running with context manager

import asyncio
from microrabbit import Client

client = Client(
    host="amqp://guest:guest@localhost/",
    plugins="./plugins"
)

async def main():
    async with client:
        await client.run()
        
if __name__ == "__main__":
    asyncio.run(main())

Plugins

MicroRabbit supports a plugin system. Place your plugin files in the specified plugins folder, and they will be automatically loaded by the client.

Plugin Example

# ./plugins/test_plugin.py
from microrabbit import Client


@Client.on_message("test_queue")
async def test_handler(data: dict):
    print(f"Received message: {data}")
    return {"status": "ok"}

Advanced Usage

Queue Options

Use the QueueOptions class to specify queue options:

from microrabbit.types import QueueOptions


@Client.on_message("queue_name", QueueOptions(exclusive=True))
async def handler(data: dict):
    # Process the message
    return response_data

Consumer Options

Use the ConsumerOptions class to specify consumer options:

from microrabbit.types import ConsumerOptions


@Client.on_message("queue_name", ConsumerOptions(no_ack=True))
async def handler(data: dict):
    # Process the message
    return response_data

Contributing

Contributions are welcome! For feature requests, bug reports, or questions, please open an issue. If you would like to contribute code, please submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.