DHT11, Python, RabbitMQ and Deno Example

This project demonstrates a simple system for publishing and consuming sensor data (simulated temperature and humidity) using RabbitMQ as a message broker.

Demo in 🇧🇷

It consists of two main components:

1. Python Publisher (src/app.py):

   • Simulates reading data from a sensor (e.g., a DHT11).
   • Publishes these readings as JSON messages to a RabbitMQ queue named sensor_data.
   • Configured to connect to a RabbitMQ instance, potentially running locally via Docker (compose.yaml) or a remote instance.

2. Deno Consumer (consumer/main.ts):

   • Connects to the same RabbitMQ instance.
   • Subscribes to the sensor_data queue.
   • Receives and processes the JSON messages published by the Python application. This can be extended for various purposes like logging, alerting, or data analysis.

Technology Stack

• Python: For the data publishing application.
  • pika: RabbitMQ client library.
• Deno: For the data consuming application.
  • amqplib: RabbitMQ client library.
• RabbitMQ: Message broker for decoupling the publisher and consumer.
  • Can be run locally using the provided compose.yaml or connected to a remote instance.
• Docker: Used for containerizing RabbitMQ and potentially for deploying the consumer application.