Coffee Maker Project (OOPs)

This Python project simulates an advanced coffee maker machine that manages resources, processes orders, handles payments, and serves various coffee drinks. It demonstrates object-oriented programming principles and provides a user-friendly interface for ordering coffee.

Features

• Drink Menu: Offers multiple coffee options including latte, espresso, and cappuccino.
• Resource Management: Tracks and manages water, milk, and coffee quantities.
• Payment Processing: Handles coin inputs (quarters, dimes, nickels, pennies) and calculates total amount.
• Transaction Handling: Verifies sufficient payment, provides change, and refunds if necessary.
• Reporting: Generates reports on current resource levels and total profit.
• Machine Control: Allows turning the coffee maker on and off.

How to Use

1. Start the Program: Run main.py to initiate the coffee maker simulation.
2. Order a Drink: Enter the name of your desired coffee when prompted.
3. Make Payment: Follow instructions to insert coins.
4. Receive Your Order: If payment is successful, your coffee will be "served".
5. Check Resources: Type 'report' to view current resource levels and profit.
6. Exit Program: Type 'off' to shut down the coffee maker.

Code Structure

The project is divided into four main Python files:

• main.py: The entry point of the program, orchestrating the coffee maker operations.
• coffee_maker.py: Manages resources and coffee making process.
• menu.py: Defines the drink menu and handles drink selection.
• money_machine.py: Processes payments and manages profit.

Key Components

• CoffeeMaker Class: Handles resource management and coffee preparation.
• MenuItem Class: Represents individual drink options with their recipes.
• Menu Class: Manages the collection of available drinks.
• MoneyMachine Class: Processes financial transactions.

Requirements

• Python 3.x

Running the Project

1. Clone or download the project to your local machine.
2. Open a terminal or command prompt and navigate to the project directory.
3. Run the script using Python:

   python main.py