Airport Tracking is a Dash-FastAPI based web application which allows users to check different airports information. It features various sections like Airplanes, Airports and Schedules along with graphs and a map. Requests for information are made to an external API using airlabs API.

• Python 3.12
• Poetry for Python dependency management
• Postgres database
• Virtual environment (optional but recommended)
• AIRLAB API KEY (which has a free tier with 1000 request / month) :https://airlabs.co/

1. Clone the repository or download the source code.
2. (Optional) Create a virtual environment:

  python -m venv venv
  venv\Scripts\activate

3.Install dependencies using Poetry:

  poetry install

4.Set up your environment variables in the .env file , including the Postgres database settings.

• DB_NAME
• DB_USERNAME
• DB_PASSWORD
• DB_HOST (this is set to 'db' in docker-compose file)
• DB_PORT
• AIRLAB_API_KEY
• API_HOTS (should be set to 'fastapi')

5.Create fastapi image from Dockerfile:

 docker build -t fastapi02 .

6.Create dash image from Dockerfile:

docker build -f dashboard/Dockerfile -t dash02 .

7.Start the app :

 docker compose up --build

After installation, access the web application at http://localhost:8050. Each user search for an airport or schedule are auto-saved in the database based on the specific API call.

• Search for airports based on standard IATA_CODES
• Search for airports schedules
• Visualize graphs for airports, schedules and airplanes
• Visualize airports locations on a map

• Dash
• FastAPI
• SQLAlchemy
• Postgres as the database backend
• Poetry for dependency management

Contributions to airport-tracking are welcome. Please follow the coding standards and contribute to tests for new features.

This project is licensed under the MIT License - see the LICENSE file for details.