Raspberry Pi Temperature Sensor Simulation with Django and TimescaleDB

Raspberry Pi Temperature Sensor Simulation with Django and TimescaleDB

Introduction

This project simulates a Raspberry Pi temperature sensor using Django for the backend and TimescaleDB for time-series data storage. The project is containerized using Docker Compose for easy setup and deployment.

Features

Django: Backend framework for the web application.
Django Ninja: Fast and modern web framework for building APIs with Django.
TimescaleDB: Time-series database built on PostgreSQL for storing temperature data.
Celery: Distributed task queue for handling periodic sensor data generation.
Docker Compose: Container orchestration for managing the application's services.

Technologies Used

Django
TimescaleDB
Docker
Docker Compose

Prerequisites

Ensure you have the following installed on your system:

Installation

Clone the Repository

git clone https://github.com/yourusername/raspberry-pi-temp-sensor-simulation.git
cd raspberry-pi-temp-sensor-simulation

Create Environment Variables File Create a .env file in the project root and add the following environment variables:

DJANGO_SECRET_KEY=your_secret_key
POSTGRES_DB=your_db_name
POSTGRES_USER=your_db_user
POSTGRES_PASSWORD=your_db_password

Build and Run Docker Containers
```
docker-compose up --build
```

Apply Migrations and Create Superuser

docker-compose exec web python manage.py migrate
docker-compose exec web python manage.py createsuperuser

Usage

Access the Django admin at http://localhost:8000/admin and log in with the superuser credentials.
The REST API is accessible at http://localhost:8000/api/.

myugetsu/django-timescale