EcoTrack

EcoTrack is a Django-based environmental data aggregation platform that fetches and processes air quality and weather data from various sources.

Features

• Fetches data from OpenAQ and OpenWeatherMap APIs
• Stores environmental metrics, locations, and time series data
• Provides API endpoints for current, historical, and aggregated data
• Uses GeoDjango for spatial queries
• Implements Celery for task queuing and scheduling
• Utilizes Redis for caching
• Includes comprehensive API documentation using drf-yasg

Setup

1. Clone the repository: git clone https://github.com/yourusername/ecotrack.git cd ecotrack

2. Create a .env file in the project root and add the necessary environment variables (see .env example above).

3. Build and run the Docker containers: docker-compose up --build

4. Run migrations: docker-compose exec web python manage.py migrate

5. Create a superuser: docker-compose exec web python manage.py createsuperuser

Usage

• Access the admin interface at http://localhost:8000/admin/
• View API documentation at http://localhost:8000/swagger/ or http://localhost:8000/redoc/
• Use the provided API endpoints to fetch and analyze environmental data

Running Tests

To run the tests, use the following command: docker-compose exec web python manage.py test

License

This project is licensed under the MIT License.