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https://github.com/funbeedev/monitor-devto-comments-with-azurecloud
Be alerted of new comments on a DEV.to article using the Azure Cloud
https://github.com/funbeedev/monitor-devto-comments-with-azurecloud
azure-iot-edge azure-iot-hub forem-api microsoft-azure mqtt-protocol python raspberry-pi requests-module text-to-speech
Last synced: about 1 month ago
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Be alerted of new comments on a DEV.to article using the Azure Cloud
- Host: GitHub
- URL: https://github.com/funbeedev/monitor-devto-comments-with-azurecloud
- Owner: funbeedev
- License: mit
- Created: 2022-03-03T20:37:02.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-04-22T05:58:16.000Z (over 2 years ago)
- Last Synced: 2023-10-26T13:51:35.672Z (about 1 year ago)
- Topics: azure-iot-edge, azure-iot-hub, forem-api, microsoft-azure, mqtt-protocol, python, raspberry-pi, requests-module, text-to-speech
- Language: Python
- Homepage: https://dev.to/funbeedev/monitor-new-devto-comments-with-azure-cloud-iot-hub-and-raspberry-pi-3k07
- Size: 26.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Monitor-Devto-Comments-With-AzureCloud
Be alerted of new comments on a [DEV.to](https://dev.to) article using the Azure Cloud ☁️
## 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](https://developers.forem.com/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:
- Azure explorer - https://github.com/Azure/azure-iot-explorer/releases
- Azure CLI - https://docs.microsoft.com/en-us/cli/azure/
## Plans for future
- Use better robot voice
- AI processing of comments
- Do more cool stuff with PI interaction