Python mqtt example github

Teresa 58 Published: 12/10/2024

Python mqtt example github

I'll make an exception this time!

Here are some Python MQTT examples from GitHub that you might find helpful:

1. paho-mqtt-example

This is a basic example of how to use the Paho MQTT client library in Python. The example shows how to connect to an MQTT broker, publish and subscribe to topics.

import paho.mqtt.client as mqtt
Set up the client

client = mqtt.Client()

Connect to the MQTT broker

client.connect("localhost", 1883)

Subscribe to a topic

client.subscribe("/example/topic")

Publish a message

client.publish("/example/topic", "Hello, world!")

Disconnect from the broker

client.disconnect()

2. mqtt-pub-sub

This is another example of using Paho MQTT client library in Python, but this time it focuses on publishing and subscribing to topics.

import paho.mqtt.client as mqtt

def on_connect(client, userdata, mid):

print("Connected")

def on_message(client, userdata, message):

print("Received message: ", message.payload)

Set up the client

client = mqtt.Client()

Connect to the MQTT broker

client.on_connect = on_connect

client.connect("localhost", 1883)

Subscribe to a topic

client.subscribe("/example/topic")

Publish a message

client.publish("/example/topic", "Hello, world!")

Start listening for messages

client.loop_forever()

3. python-mqtt

This is an example of using the Python MQTT library to send and receive MQTT messages.

import time

import paho.mqtt.client as mqtt

Set up the client

client = mqtt.Client()

Connect to the MQTT broker

client.connect("localhost", 1883)

Publish a message

client.publish("/example/topic", "Hello, world!")

Start listening for messages

def on_message(client, userdata, message):

print("Received message: ", message.payload)

client.on_message = on_message

client.loop_forever()

4. Home Automation with MQTT

This is an example of using Python and MQTT to control home automation devices such as lights and thermostats.

import RPi.GPIO as GPIO

import paho.mqtt.client as mqtt

GPIO.setmode(GPIO.BCM)

Set up the client

client = mqtt.Client()

Connect to the MQTT broker

client.connect("localhost", 1883)

def on_message(client, userdata, message):

if message.topic == "/lights/brightness":

brightness = int(message.payload)

GPIO.output(17, brightness)

Subscribe to a topic

client.subscribe("/lights/brightness")

Start listening for messages

client.on_message = on_message

client.loop_forever()

These are just a few examples of using Python with MQTT. There are many more out there, and you can use them as inspiration for your own projects!

How to implement MQTT protocol in Python?

I'd be happy to help you with that!

Implementing the MQTT (Message Queuing Telemetry Transport) protocol in Python is quite straightforward using libraries like Paho's Mosquitto and Pika. Here's a step-by-step guide:

Install required libraries: You'll need to install paho-mqtt for the client-side implementation and pika for the broker-side implementation.
   pip install paho-mqtt

pip install pika

Import necessary modules:
   import paho.mqtt.client as mqtt

import time

from pika import BlockingConnectionIOLoop

For broker-side implementation

import pika

Set up the client-side:

Create a MQTT client and set its options.

   client = mqtt.Client()

client.username_pw_set("username", "password")

client.connect("localhost", 1883, 60)

Subscribe to a topic: The client subscribes to a specific topic (e.g., home/living_room).
   def on_message(client, userdata, message):

print(f"Received: {message.payload.decode('utf-8')}")

client.subscribe("home/living_room")

Publish messages: The client can publish messages to a specific topic (e.g., home/kitchen).
   while True:

client.publish("home/kitchen", "Hello from Python!")

time.sleep(1)

Close the connection: When done, close the MQTT connection.
   client.disconnect()

Set up the broker-side (Pika):

Create a Pika AMQP connection and declare an exchange for MQTT messages.

    import pika
Set up the connection to RabbitMQ

connection = pika.BlockingConnectionIOLoop.connect('amqp://guest:guest@localhost')

channel = connection.channel()

Declare the exchange for MQTT messages

channel.exchange_declare(exchange='mqtt', exchange_type='direct')

while True:

method_frame, header_frame, body = channel.basic_consume(queue='home/living_room',

on_message_callback=on_message)

Listen and process incoming messages: The broker-side implementation listens for incoming MQTT messages and processes them.
   def on_message(ch, method, properties, body):

print(f"Received: {body.decode('utf-8')}")

channel.basic_consume(queue='home/living_room', on_message_callback=on_message)

Close the connection: When done, close the Pika AMQP connection.
   channel.close()

connection.close()

Remember to install RabbitMQ (for broker-side implementation) if you haven't already.

Here's a sample Python code combining client and broker implementations:

import paho.mqtt.client as mqtt

from pika import BlockingConnectionIOLoop

Client-side implementation

client = mqtt.Client()

client.username_pw_set("username", "password")

client.connect("localhost", 1883, 60)

def on_message(client, userdata, message):

print(f"Received: {message.payload.decode('utf-8')}")

client.subscribe("home/living_room")

while True:

client.publish("home/kitchen", "Hello from Python!")

time.sleep(1)

client.disconnect()

Broker-side implementation

connection = pika.BlockingConnectionIOLoop.connect('amqp://guest:guest@localhost')

channel = connection.channel()

def on_message(ch, method, properties, body):

print(f"Received: {body.decode('utf-8')}")

channel.exchange_declare(exchange='mqtt', exchange_type='direct')

while True:

method_frame, header_frame, body = channel.basic_consume(queue='home/living_room',

on_message_callback=on_message)

channel.close()

connection.close()

This code demonstrates a basic MQTT client-server implementation in Python using Paho and Pika. You can enhance it to suit your specific requirements.

Disclaimer: This is a simplified example for illustration purposes only. For a robust and production-ready MQTT system, you should consider factors like error handling, retries, and security.