Gitea Actions reads .gitea/workflows, so the workflow lives there. Update the workflow header comment, the Continuous integration section and the project layout in the README to match. A GitHub mirror does not run it.
OOP Coffee Machine
An object-oriented coffee machine in Python, solved as an assignment of Udemy's 100 Days of Code: The Complete Python Pro Bootcamp. The program takes a drink order, checks that the ingredients are sufficient, takes coins, gives change and makes the drink. It has no runtime dependencies, so it is easy to read, run and compare with your own solution.
The classes and methods use the assignment's names:
| Class | Methods |
|---|---|
Menu |
get_items, find_drink |
CoffeeMaker |
report, is_resource_sufficient, make_coffee |
MoneyMachine |
report, process_coins, make_payment |
At the prompt you can type a drink name (espresso, latte or cappuccino),
report to print the resources and the money in the machine, or off to stop.
Requirements
- Python 3.13 or newer.
venvandpip, which come with Python (on Debian they are separate packages).- Git, to clone the repository.
- Optional: Doxygen to build the source documentation.
There are no runtime dependencies. pytest, ruff and mypy are installed
only for development, through the dev extra.
Set up
Clone the repository and change into it:
git clone https://git.tirsystem.com/Tirsvad-Udemy-100_days_of_code/016-oop_coffee_machine.git
cd 016-oop_coffee_machine
Then create a local virtual environment named .venv, upgrade pip and install
the project in it.
Windows powershell
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
If PowerShell refuses to run the activation script, allow it for this window only
with Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass.
Linux debian
sudo apt install python3 python3-venv python3-pip git
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
Debian 13 (trixie) ships Python 3.13. On an older release, install Python 3.13
first (for example with pyenv) and use it to create the .venv.
MacOS
brew install python@3.13 git
python3.13 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
To leave the virtual environment, run deactivate.
Run
With the virtual environment active:
python -m coffee_machine
The installed command does the same:
coffee-machine
Example session:
What would you like? (espresso/latte/cappuccino): latte
Please insert coins.
How many quarters?: 12
How many dimes?: 0
How many nickels?: 0
How many pennies?: 0
Here is $0.50 in change.
Here is your latte. Enjoy!
What would you like? (espresso/latte/cappuccino): off
Run the tests
With the virtual environment active:
python -m pytest
The linter and the strict type check that the project also uses:
ruff check .
mypy
Continuous integration
The workflow in .gitea/workflows/ci.yml runs on Gitea Actions on every push and
pull request. It creates a virtual environment on Python 3.13, upgrades pip,
installs the project with the dev extra and runs ruff check ., mypy and
python -m pytest. GitHub does not read the .gitea folder, so a GitHub mirror
does not run it.
Build the source documentation
The source uses Doxygen comments and the Doxyfile in the repository root. Install
Doxygen (winget install DimitriVanHeesch.Doxygen on Windows,
sudo apt install doxygen on Debian, brew install doxygen on MacOS), then run:
doxygen Doxyfile
The HTML documentation is written to docs/doxygen/html/; open index.html in a
browser. The output folder is ignored by git.
Project layout
.
├── src/coffee_machine/ The program
│ ├── constants.py Menu, resources, coins, commands and messages
│ ├── menu.py Menu and MenuItem
│ ├── coffee_maker.py CoffeeMaker
│ ├── money_machine.py MoneyMachine
│ ├── main.py The loop that keeps the machine running
│ └── __main__.py Lets `python -m coffee_machine` start the program
├── tests/ pytest tests
├── docs/ Project documents (business case, plan, milestones, reviews)
├── Doxyfile Doxygen configuration
├── pyproject.toml Project configuration
└── .gitea/workflows/ Continuous integration
License
GNU Affero General Public License v3.0, see LICENSE.