Introduction

This project demonstrates a full-stack application simulating sensor readings from an industrial plant, with a Python backend generating data, storing it in a database, and exposing it via an API. A frontend application will display the data and allow users to interact with it.

Requirements

To install and run the application, the following software must be installed on your system:

• Docker
• git

Quick Setup

Clone the repository using the following command (replace <project-name> with the name of your project):

git clone https://github.com/braboj/sensor-data-app <project-name>

For a specific branch, use the following command:

git clone -b <branch-name> https://github.com/braboj/sensor-data-app <project-name>

Navigate to the project folder and run the following command to start the application:

docker compose up

The following services will be started:

• Frontend (Angular) / localhost:4200
• Backend (Flask) / localhsot:5000

The backend offers one endpoint to retrieve sensor data:

curl http://localhost:5000/api/sensors

By default, the last 100 records are returned. You can specify the number of records to return by passing a query parameter:

curl http://localhost:5000/api/sensors?limit=1

Next Steps

• To learn more about the project, please visit Assigment
• To read about the solution, please visit Solution
• To contribute, please visit Contributing
• To leave feedback, please visit Discussions