software-engineering-graduation / python-rabbitmq-example

This repository contains two practical examples of message processing using RabbitMQ and Python. The examples demonstrate different communication patterns: Message Queue and Publish/Subscribe (Pub/Sub).

RabbitMQ with Python

Overview

This project demonstrates the use of RabbitMQ with Python, showcasing two message handling patterns:

• Pub/Sub (Publisher/Subscriber)
• Queue-based messaging.

Using Docker to set up RabbitMQ and its management interface. Python scripts are provided to simulate the interaction with the RabbitMQ message broker for both pub/sub and queue-based communication.

Project Structure

.
├── README.md
├── docker-compose.yml
├── rabbit-pub_sub
│   ├── pub.py          # Publisher script
│   └── sub.py          # Subscriber script
├── rabbit-queue
│   ├── consumer.py     # Consumer script
│   └── producer.py     # Producer script
└── requirements.txt    # Python dependencies

Getting Started

1. Set up RabbitMQ with Docker

The provided docker-compose.yml file launches a RabbitMQ container with the management interface.

To start the container:

docker-compose up -d

This will:

• Launch RabbitMQ on port 5672 (for messaging).
• Make the RabbitMQ management UI available on port 15672.

2. Install Dependencies

Before running the Python scripts, install the necessary dependencies:

pip install -r requirements.txt

3. Pub/Sub Model

Publisher

The publisher script (pub.py) announces new flavors by sending messages to a topic exchange named flavors.

Run the publisher:

python rabbit-pub_sub/pub.py

Subscriber

The subscriber script (sub.py) listens for new flavor announcements by consuming messages from the flavors exchange.

Run the subscriber:

python rabbit-pub_sub/sub.py

4. Queue-Based Messaging

Producer

The producer script (producer.py) sends new ice cream orders to a queue named sorvete_queue.

Run the producer:

python rabbit-queue/producer.py

Consumer

The consumer script (consumer.py) listens to the sorvete_queue and processes orders.

Run the consumer:

python rabbit-queue/consumer.py