Python
CLI (Command Line Interface) application
Git
GitHub
MVC (Model-View-Controller) architecture
Flake8
PEP8
Menu-navigation
In this project, I developed a stand-alone, offline Chess Game application using Python. The program follows the Model-View-Controller (MVC) design pattern to separate concerns between data management, user interaction, and logic. It is a Command-Line Interface (CLI) application that allows users to navigate through various menu options for managing players and organizing tournaments.
Project Workflow:
This project demonstrates how to build a robust, maintainable, and cross-platform Chess Game application using Python, while adhering to best practices in software design and code quality.
1. MVC (Model-View-Controller) Pattern
The program is structured using the MVC architecture to ensure that the code is modular and easy to maintain. The Model handles the database of players and tournaments, the View manages the display and input/output of the CLI, and the Controller manages the flow between the user input and the system's operations. This clear separation makes it easy to scale or modify the application in the future.
2. Command-Line Interface (CLI) Application
The application is entirely text-based and runs from the console using the command:
python3 main.py
It provides a menu-driven interface that allows users to navigate through various sections, such as adding players, starting tournaments, and viewing rankings. The CLI design ensures that the program runs smoothly across Windows, Mac, and Linux platforms.
3. Menu for Navigation
A key feature of the program is its user-friendly navigation menu, which guides users through various options related to the Chess Game:
4. TinyDB JSON Database
The program uses TinyDB, a lightweight NoSQL database stored in JSON files. This ensures that the application can be run offline and still store player data persistently. Each player’s information, such as name, ranking, and tournament results, is stored in the database, allowing for easy retrieval and updates.
5. Code Quality: flake8 and PEP8 Compliance
To ensure clean and maintainable code, the project adheres to PEP8 standards, and flake8 is used to enforce these guidelines. This helps maintain readability and consistency throughout the codebase. The use of private functions ensures that sensitive operations are encapsulated, while common functions are reused where necessary to avoid redundancy.
6. Requirements File
The project includes a requirements.txt file that lists all the dependencies needed to run the program. Users can easily set up the environment by installing the required dependencies via:
pip install -r requirements.txt
This guarantees that the program can be run smoothly on any system, regardless of the operating system.