A tested full-stack web application that uses modern technologies and best practices. This project integrates a Python-based backend using Flask and SQLAlchemy, a simple but dynamic React frontend for a demonstration, and a PostgreSQL database—all containerized using Docker. Tests have been implemented for the backend to ensure reliability using unittest and pytest.

The primary goal of this project was to explore and master a variety of new technologies and methodologies. Through this project, I aimed to:

• Expand Technical Expertise:
  Experiment with and integrate technologies such as Python (Flask, SQLAlchemy, unittest, pytest), React, PostgreSQL, Docker. I also aimed to build a solid project architecture, use design patterns throughout the code and apply best-practice recommendations for software development and testing.

• Embrace Test-Driven Development (TDD):
  Implement automated tests using unittest and pytest to ensure high code quality, reliability, and to adopt TDD practices as a core part of the development process.

This project is a testament to my commitment to continuous learning, improving my skills in using modern technologies, software development and testing methods.

• Modular Architecture: Clear separation between backend, frontend, and database.
• Backend: Built with Python, Flask, and SQLAlchemy.
• Frontend: Developed in React with JavaScript.
• Database: Utilizes PostgreSQL for data storage.
• Containerization: Docker and Docker Compose.
• Testing: Integrated unittests for the backend to ensure quality.
• Automation Scripts: Bash scripts (start-app.sh and end-app.sh) simplify starting and stopping the entire application.

1. Clone the Repository:

2. Start the Application: Use the provided bash script to build and run the Docker containers: ./start-app.sh. Tests for the backend are run automatically before backend launch.

3. Accessing the App: Once started, the backend will be available on its configured port 5000 on localhost, and the frontend on port 3000 on localhost.

4. Stopping and Cleaning Up: When you're ready to stop the application and clear the Docker environment, use the provided bash script: ./end-app.sh. This script stops all running containers and removes them along with any associated networks and volumes.