iotedgehubdev 0.12.0

Azure IoT EdgeHub Dev Tool

Azure IoT EdgeHub Dev Tool

The Azure IoT EdgeHub Dev Tool provide a local development experience with a simulator for creating, developing, testing, running, and debugging Azure IoT Edge modules and solutions.

• The bits/code of Edge module running on simulator and IoT Edge Runtime are same.
• The Edge solution could be run with the simulator locally without pushing image and creating IoT Edge deployment.
• The credential needed to run Edge solution on simulator is IoT Edge Device Connectionstring. And IoT Hub Connectionstring is not needed.
• It helps to debug the module on the host (not in container) with the EdgeHub

The following table compares the steps needed to run the solution on the IoT Edge Runtime and iotedgehubdev tool.

	IoT Edge Runtime	iotedgehubdev
Device Credential Needed	YES	YES
IoT Hub Credential Needed	YES	NO
Build Image	YES	YES
Push Image	YES	NO
Create Deployment	YES	NO
Support native debug scenario	No	YES

Installing

1. Install Docker CE (18.02.0+) on Windows, macOS or Linux.

2. Install Docker Compose (1.20.0+) (Only required for Linux. Compose has already been included in Windows/macOS Docker CE installation)

3. Install Python (2.7/3.5/3.6/3.7/3.8) and Pip

4. Install iotedgehubdev by running below command in your terminal

   pip install --upgrade iotedgehubdev
   

   Note: Please install iotedgehubdev to root on Linux/macOS (Don't use '--user' option in the 'pip install' command).

Please make sure there is no Azure IoT Edge runtime running on the same machine with iotedgehubdev since they require the same ports.

Quickstart

1. Setup

   Windows

   iotedgehubdev setup -c "<edge-device-connection-string>"
   

   Linux/macOS

   sudo iotedgehubdev setup -c "<edge-device-connection-string>"
   

2. Start/stop an IoT Edge solution in simulator

   Windows

   iotedgehubdev start -d <path/to/deployment-manifest>
   iotedgehubdev stop
   

   Linux/macOS

   sudo iotedgehubdev start -d <path/to/deployment-manifest>
   sudo iotedgehubdev stop
   

3. Start and debug a single module natively

   1. Start the module with specific input(s)

      Windows

      iotedgehubdev start -i "<module-inputs>"
      

      Linux/macOS

      sudo iotedgehubdev start -i "<module-inputs>"
      

      For example: iotedgehubdev start -i "input1,input2"

   2. Start the module with specific input(s) and environment variable(s)

      Windows

      iotedgehubdev start -i "<module-inputs>" -e "<environment-variable>"
      

      Linux/macOS

      sudo iotedgehubdev start -i "<module-inputs>" -e "<environment-variable>"
      

      For example: iotedgehubdev start -i "input1,input2" -e "TestEnv1=Value1" -e "TestEnv2=Value2"

   3. Output the module credential environment variables

      iotedgehubdev modulecred
      

   4. Start the module natively with the environment variables got from previous step

   5. Send message to the module through RESTful API.

      For example: curl --header "Content-Type: application/json" --request POST --data '{"inputName": "input1","data": "hello world"}' http://localhost:53000/api/v1/messages

   6. Stop the simulator

      Windows

      iotedgehubdev stop
      

      Linux/macOS

      sudo iotedgehubdev stop
      

Other resources

• Azure IoT Edge for Visual Studio Code
• Azure IoT Edge Dev CLI Tool

Data/Telemetry

This project collects usage data and sends it to Microsoft to help improve our products and services. Read our privacy statement to learn more. If you don’t wish to send usage data to Microsoft, you can change your telemetry settings by updating collect_telemetry to no in the ini file.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [e-mail] with any additional questions or comments.