Book Image

Hands-On MQTT Programming with Python

By : Gaston C. Hillar

Book Image

Hands-On MQTT Programming with Python

By: Gaston C. Hillar

Overview of this book

<p>MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python.</p> <p>The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads.</p> <p>You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition.</p> <p>In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards.</p>

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Installing an MQTT 3.1.1 Mosquitto Server

Installing an MQTT 3.1.1 Mosquitto Server

Understanding convenient scenarios for the MQTT protocol

Working with the publish-subscribe pattern

Working with message filtering

Understanding the MQTT puzzle – clients, servers, and connections

Installing a Mosquitto server on Linux

Installing a Mosquitto server on macOS

Installing a Mosquitto server on Windows

Considerations for running a Mosquitto server in the cloud

Test your knowledge

Using Command-Line and GUI Tools to Learn How MQTT Works

Using Command-Line and GUI Tools to Learn How MQTT Works

Subscribing to topics with a command-line tool

Subscribing to topics with a GUI tool

Publishing messages with a command-line tool

Publishing messages with a GUI tool

Unsubscribing from topics with a GUI tool

Learning best practices for topics

Understanding MQTT wildcards

Learning about the different QoS levels

Working with at least once delivery (QoS level 1)

Working with exactly once delivery (QoS level 2)

Understanding overhead in the different Quality of Service levels

Test your knowledge

Securing an MQTT 3.1.1 Mosquitto Server

Securing an MQTT 3.1.1 Mosquitto Server

Understanding the importance of securing a Mosquitto server

Generating a private certificate authority to use TLS with Mosquitto

Creating a certificate for the Mosquitto server

Configuring TLS transport security in Mosquitto

Testing the MQTT TLS configuration with command-line tools

Testing the MQTT TLS configuration with GUI tools

Creating a certificate for each MQTT client

Configuring TLS client certificate authentication in Mosquitto

Testing the MQTT TLS client authentication with command-line tools

Testing the MQTT TLS configuration with GUI tools

Forcing the TLS protocol version to a specific number

Test your knowledge

Writing Code to Control a Vehicle with Python and MQTT Messages

Writing Code to Control a Vehicle with Python and MQTT Messages

Understanding the requirements to control a vehicle with MQTT

Defining the topics and commands

Creating a virtual environment with Python 3.6.x and PEP 405

Understanding the directory structure for a virtual environment

Activating the virtual environment

Deactivating the virtual environment

Installing paho-mqtt for Python

Connecting a client to the secured MQTT server with paho-mqtt

Understanding callbacks

Subscribing to topics with Python

Configuring certificates for IoT boards that will work as clients

Creating a class to represent a vehicle

Receiving messages in Python

Working with multiple calls to the loop method

Test your knowledge

Testing and Improving Our Vehicle Control Solution in Python

Testing and Improving Our Vehicle Control Solution in Python

Processing commands with Python

Sending messages with Python

Working with the network loop with Python

Working with last will and testament with Python

Working with retained last will messages

Understanding blocking and non-blocking code

Using the threaded client interface

Test your knowledge

Monitoring a Surfing Competition with Cloud-Based Real-Time MQTT Providers and Python

Monitoring a Surfing Competition with Cloud-Based Real-Time MQTT Providers and Python

Understanding the requirements

Defining the topics and payloads

Coding a surfboard sensor emulator

Configuring the PubNub MQTT interface

Publishing data retrieved from sensors to the cloud-based MQTT server

Working with multiple MQTT servers

Running multiple clients

Building a web-based dashboard with freeboard

Test your knowledge

Solutions

Chapter 1: Installing an MQTT 3.1.1 Mosquitto server

Chapter 2: Using Command-Line and GUI Tools to Learn How MQTT Works

Chapter 3: Securing an MQTT 3.1.1 Mosquitto Server

Chapter 4: Writing Code to Control a Vehicle with Python and MQTT Messages

Chapter 5: Testing and Improving our Vehicle Control Solution in Python

Chapter 6: Monitoring a Surfing Competition with Cloud-Based Real-Time MQTT Providers and Python

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Summary

In this chapter, we analyzed the requirements to control a vehicle with MQTT messages. We defined the topics that we would use and the commands that would be part of the messages’ payloads to control a vehicle. Then, we worked with the Paho Python Client to write Python code that connected an MQTT client to the MQTT server.

We understood the methods we needed to call for the Paho Python Client and their parameters. We analyzed how callbacks worked and we wrote code to subscribe to topic filters as well as to receive and process messages.

We wrote code that processed commands for a vehicle with Python. The code is able to run on different IoT platforms, including Raspberry Pi 3 family boards, Qualcomm DragonBoard, BeagleBone Black, MinnowBoard Turbot, LattePanda, UP squared, and also on any computer that is capable of executing Python 3.6.x code. We worked with the...