Cricbuzz Clone - Python Web Application Welcome to the Cricbuzz Clone project! This is a simple Python web application built using the Flask framework, designed to display live cricket scores in a user-friendly interface. The project is set up to be flexible, allowing easy deployment on a Virtual Machine (VM) or through Docker. This application uses an in-memory database (SQLite) and is structured to support future microservices.

Table of Contents Project Structure Getting Started Prerequisites Installation Running the Application On a Virtual Machine (VM) Using Docker Testing Future Enhancements Contributing License

Explanation app/: Contains the core application code.

init.py: Initializes the Flask app and configures the in-memory database. routes.py: Defines the routes (URLs) and the corresponding views (what the user sees). templates/: Contains HTML files for the user interface. static/: Contains static files like CSS for styling. tests/: Contains unit tests to ensure the application works as expected.

Dockerfile: Instructions to build a Docker image for the application.

requirements.txt: Lists all the Python dependencies needed to run the application.

run.py: The main file to start the Flask application.

Getting Started Prerequisites To run this application, you need to have the following installed on your system:

Python 3.7+ pip (Python package installer) Docker (optional, if you plan to run the application using Docker)

Installation Clone the Repository:

git clone https://github.com/yourusername/cricbuzz_clone.git cd cricbuzz_clone Install Python Dependencies:

pip install -r requirements.txt

    On a Virtual Machine (VM)
    python run.py

Open your web browser and go to http://localhost:5000

    Using Docker
    Build the Docker Image:

    docker build -t cricbuzz-clone .
    Run the Docker Container:


    docker run -d -p 5000:5000 cricbuzz-clone
    Access the Application:

    Open your web browser and go to http://localhost:5000

Unit tests are provided to ensure the application works correctly.

python -m unittest discover tests

Check the Test Output:

All tests should pass successfully, confirming that the routes and views are working as expected.