Module 4: Build and deploy the solution

Index

• Module 1: Create an Azure IoT Central application
• Module 2: Set up your Raspberry Pi
• Module 3: Set up your development environment
• Module 4: Run the solution
• Module 5: Dockerize the Air Quality Monitor solution
• Home

Explore the solution

1. Expand the app folder.
2. Double click main.py, this is the main python application reads the sensor and sends the telemetry to Azure IoT Central.

Configure the IoT Central device connection

1. Open the .env file
2. Update with the Device Connection information from IoT Central. Remember, this was the Device Connection panel.

3. After you have updated the the .env file it will look similar to the following:

    SCOPE_ID=0ne0012C57C
    DEVICE_ID=rpi-air-quality
    DEVICE_KEY=jJitjNFnDPJpzKwDTSwur4wdJwCpnOrq8oonezQDzss=
   

Start the application

1. Select the Run configuration. From the Visual Studio Code main menu, click View, then Run.

2. From the Run drop down menu, select Python: Current File

   

3. Press F5 to start running and debugging the application on the Raspberry Pi.
4. Monitor the Visual Studio terminal window as the application starts. The application prints the telemetry as a JSON string in the Terminal window and then sends the telemetry to IoT Central.

5. View the telemetry in Azure IoT Central

   • Switch back to IoT Central in the browser, and ensure you have select your device.

     

6. Press Shift+F5 to stop the application.

Learning about the debugger

Check out the Debug your Python code article to learn more about debugging Python applications with Visual Studio Code.

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