Tracking-IoT-Blockchain Service

This is a Repository to provide RESTful APIs for EPCIS and IoT Information for NIMBLE-Platform. These APIs can provide data related to NIMBLE's Track&Trace services along with IoT Sensor Data Information as well as the platform's Blockchain Network.

Functionalities

These RESTful APIs communicate with:

• EPCIS Repository (MongoDB Instance)
• Sensor Repository (InfluxDB)
• NIMBLE's HyperLedger Fabric API

Development

• Written using python3.x

• Enable a Virtual Environment

    python -m venv venv
  

• Activate the Environment

  Linux

    source venv/bin/activate
  

  Windows

    venv/Scripts/activate.ps1
  

• Install Dependencies

    pip install -r requirements.txt
  

  or

    python setup.py develop
  

• Set APP_CONFIG to the configuration file variables e.g. testing.cfg or production.cfg in the nimble_iot_bc directory:

  Linux

    export APP_CONFIG=testing.cfg
  

  Windows (PowerShell)

    $env:APP_CONFIG = "testing.cfg"
  

• enable debugging in the main.py:

    entrypoint.run(debug=True)
  

• Run the app using

    python main.py
  

Development with Docker

    docker build -t nimble-iot-blockchain-api .

(see Deployment section for setting up environment file)

Documentation

• Current Swagger Documentation available on http://localhost:5000/api/doc/

Deployment

• Disable debug mode in production using debug=False in main.py

• The app is deployed with uWSGI Server

• Change the settings for the uWSGI Server in app.ini

• Adapt the APP_CONFIG variable in the docker-compose file to production.cfg with all environment variables necessary in it.

• The production.cfg file MUST be in the nimble_iot_bc directory. Else, adapt the compose file with the path to the configuration accordingly (see volumes).

• build using:

    docker-compose up --build
  

Docker

    docker --name=iot-tnt-bc-microservice -e APP_CONFIG=production.cfg  -p 5000:5000 shantanoodesai/nimble-iot-blockchain-api:latest

License

MIT License

Developed and Maintained by

Shantanoo Desai([email protected])

Faculty of Production Engineering, University Bremen. In collaboration with BIBA - Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany