Quickstart

Creating a new project

To create a new project, you have different options:

# Recommanded with VSCode and new projects
mox init my_project --vscode --pyproject

And this will create a new project in a new my_project directory.

Tip

If you want to create a project in the current directory, you can use . as the project name:

mox init .

This will create a new project in the current directory.

If you want to create a project in a directory that already has files/folders in it, you can add the --force option to the command:

mox init my_project --force

Danger

This will overwrite any existing files/folders in the directory, so use it with caution!

Let’s check out the files and folders moccasin has created:

Note

MacOS users may need to install tree with brew install tree. You can of course, just not install tree and skip this tree command.

Run the following commands:

cd my_project
tree .

You’ll get an output like:

.
├── README.md
├── moccasin.toml
├── script
│   ├── __init__.py
│   └── deploy.py
├── src
│   └── Counter.vy
└── tests
    ├── conftest.py
    └── test_counter.py

This is a minimal project structure that moccasin creates.

  • README.md is a markdown file that you can use to describe your project.

  • moccasin.toml is a configuration file that moccasin uses to manage the project.

  • script is a directory that contains scripts that you can use to deploy your project.

  • src is a directory that contains your vyper smart contracts.

  • tests` is a directory that contains your tests.

If you run tree . -a, you’ll also see the “hidden” files.

  • .gitignore is a file that tells git which files to ignore.

  • .gitattributes is a file that tells git how to handle line endings.

  • .coveragerc is a file that tells pytest how to handle coverage.

Let’s look at the different options available to us when creating a new project.

VSCode option

Hint

If you want to use the --vscode option, you need to have the Vyper VSCode extension installed.

The --vscode option will create a new project with a .vscode folder that contains a settings.json file.

└── .vscode
    └── settings.json

This file contains settings that are specific to VSCode and will help you work with your project more easily.

{
    "files.exclude": {
        "**/__pycache__": true
    },
    "files.associations": {
        ".coveragerc": "toml"
    },
    "vyper.command": "vyper -p ./lib/github -p ./lib/pypi"
}

Tip

You can modify "vyper.command": "vyper -p ./lib/github -p ./lib/pypi" to chose which vyper compiler to use. For example, if you want to use the vyper compiler from your virtual environment, you can change it to:

"vyper.command": "./.venv/bin/vyper -p ./lib/github -p ./lib/pypi"

Pyproject option

The --pyproject option will create a new project with a pyproject.toml file.

└── pyproject.toml

This file is used to manage the project’s dependencies and settings. It is a standard file used by many Python projects, and it is recommended to use it if you are using a package manager like uv.

Hint

It is very useful when you want to use a specific version of a library, like vyper or titanoboa with moccasin. Check Working with python dependencies doc for more information.

With poetry

For poetry, it is recommanded to use --force inside the subfolder of your project to get the moccasin architecture. For example, here it will be mox_project and not mox-project

.
├── mox-project
│   ├── mox_project

Deploying a contract

Now, unlike other frameworks, with moccasin, we never need to compile! Moccasin uses titanoboa under the hood to compile contracts quickly on the fly. Let’s open our deploy.py file and look inside.

from src import Counter

def deploy():
    counter = Counter.deploy()
    print("Starting count: ", counter.number())
    counter.increment()
    print("Ending count: ", counter.number())
    return counter

def moccasin_main():
    return deploy()

We can see a python script that will:

  1. Deploy our Counter contract.

  2. Print the starting count inside the contract.

  3. Increment the count.

  4. Print the ending count inside the contract.

We can run this script to the titanoboa pyevm (a local network that simulates ethereum) by running:

mox run deploy

And we’ll get an output like:

Running run command...
Starting count:  0
Ending count:  1

Awesome! This is how easy it is to run scripts with your smart contracts.

Running tests

Under the hood, moccasin uses pytest, and you can use a lot of your favorite pytest command line commands. If you just run:

mox test

You’ll get an output like:

Running test command...
=================================== test session starts ===================================
platform darwin -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0
rootdir: /your/path/my_project
plugins: cov-5.0.0, hypothesis-6.108.5, titanoboa-0.2.1
collected 1 item

tests/test_counter.py .                                                             [100%]

==================================== 1 passed in 0.01s ====================================

Note

If you want to add python dependencies to your moccasin project, see: virtual environments documentation.

But that’s it! You’ve now successfully gotten your first package up and going!