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Monitor-Devto-Comments-With-AzureCloud

Be alerted of new comments on a DEV.to article using the Azure Cloud ☁️

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About

Consists of an application running on the Azure Cloud and another on a device to detect new messages posted on a DEV.to article and alert you by reading out the comment. If the device is a PI, LED will indicate new comments.

  • Use the Azure Cloud to alert you when a new comment is posted on your DEV.to post by polling the DEV.to api.
  • When a new comment is detected the Azure Cloud will send a message to a selected device registered on the Azure IoT Hub. This message will contain the username along with the comment. The device reads out the username and comment using a text to speech engine.
  • As a bonus if the device is a raspberry PI an LED will blink while the comment is being read.
  • The method of sending messages from the Azure Cloud to IoT Hub device is through functions provided by the Python Azure IoT Hub SDK.
  • The application is able to route messages using MQTT (Message Queuing Telemetry Transport) if this option is configured in the ini file of apps setup.

Core technologies and kits overview

✔️ DEV.to API.
✔️ Azure Linux Virtual Machines.
✔️ Azure IoT Hub.
✔️ Python Requests Module.
✔️ Python Text to Speech Engine.
✔️ Raspberry PI.

If using MQTT:
✔️ Mosquitto MQTT broker.
✔️ Paho MQTT.

Environment Installations & Setup

Azure Cloud

  • Python pip3 - sudo apt-get install python3-pip
  • Python Requests Module - pip install requests
  • Beautiful Soup - pip install bs4
  • Python Azure IoT Hub library - pip install azure-iot-hub
  • Python text-to-speech - sudo apt-get install espeak pip3 install pyttsx3
  • Paho MQTT - pip install paho-mqtt.
  • Configure the Cloud .ini file

Device

  • Python Azure IoT Hub SDK - pip install azure-iot-device
  • Python text-to-speech - sudo apt-get install espeak pip3 install pyttsx3
  • gpiozero (for GPIO control if device is a raspberry pi ) - sudo apt install python-gpiozero
  • Paho MQTT - pip install paho-mqtt.
  • Configure the device .ini file

Tools that helped with development:

Plans for future

  • Use better robot voice
  • AI processing of comments
  • Do more cool stuff with PI interaction