iot-data-engine

thingspeaks-data-engine is a powerful tool designed to fetch data from ThingSpeak, normalize it, and store it into a relational database. It serves as an API that allows users to configure the engine and ingest data seamlessly.

Getting Started

To get started with thingspeaks-data-engine, follow these steps:

Development

1. Navigate to the app directory.
2. Activate the virtual environment using Poetry:

   poetry shell

3. Run the engine:

   python3 run_engine.py

Deployment

1. Build and deploy using Docker Compose:

   docker-compose up --build -d

Usage

iot-data-engine exposes the following endpoints:

• /configuration: Configure the engine with the desired ThingSpeak channel and token.
• /ingest: Start data ingestion with the provided ThingSpeak channel ID as a query parameter, and the following JSON payload:

  {
    "n_rows": 100,
    "interval": 50
  }
  

• /:Get information about the developer.

Examples:

1. Configure Engine

   curl -X POST 'http://127.0.0.1:5000/configuration?channel=123456&token=XXXXYHUHHGG'

2. Start Data Ingestion

   curl -X POST -d '{"n_rows": 100, "interval": 50}' 'http://127.0.0.1:5000/ingest?channel=2057381'

About the Developer

This project is developed and maintained by @fbzavaleta. For any inquiries or contributions, please contact [benjamin.zavaleta@grieletlabs.com].