A Python framework for Ethereum smart contract deployment, testing and interaction.
Project description
Brownie
Brownie is a Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.
Features
- Full support for Solidity (
>=0.4.22) and Vyper (0.1.0-b17) - Contract testing via
pytest, including trace-based coverage evaluation - Property-based and stateful testing via
hypothesis - Powerful debugging tools, including python-style tracebacks and custom error strings
- Built-in console for quick project interaction
- Support for ethPM packages
Dependencies
- python3 version 3.6 or greater, python3-dev
- ganache-cli - tested with version 6.8.2
Brownie uses py-solc-x for solc version management. You do not need solc installed locally, but you must install all required solc dependencies.
Installation
via pipx
The recommended way to install Brownie is via pipx. pipx installs Brownie into a virtual environment and makes it available directly from the commandline. Once installed, you will never have to activate a virtual environment prior to using Brownie.
To install pipx:
python3 -m pip install --user pipx
python3 -m pipx ensurepath
To install Brownie using pipx:
pipx install eth-brownie
To upgrade to the latest version:
pipx upgrade eth-brownie
via pip
You can install the latest release via pip:
pip install eth-brownie
via setuptools
You can clone the repository and use setuptools for the most up-to-date version:
git clone https://github.com/iamdefinitelyahuman/brownie.git
cd brownie
python3 setup.py install
Quick Usage
To initialize a new Brownie project, start by creating a new folder. From within that folder, type:
brownie init
Next, type brownie --help for basic usage information.
Documentation and Support
Brownie documentation is hosted at Read the Docs.
If you have any questions about how to use Brownie, feel free to ask on Ethereum StackExchange or join us on Gitter.
Testing
To run the tests, first install the developer dependencies:
pip install -r requirements-dev.txt
Then use tox to run the complete suite against the full set of build targets, or pytest to run tests against a specific version of Python. If you are using pytest you must include the -p no:pytest-brownie flag to prevent it from loading the Brownie plugin.
Using Docker
You can use a sandbox container provided in the docker-compose.yml file for testing inside a Docker environment.
This container provides everything you need to test using a Python 3.6 interpreter.
Start the test environment:
docker-compose up -d
To open a session to the container:
docker-compose exec sandbox bash
To run arbitrary commands, use the bash -c prefix.
docker-compose exec sandbox bash -c ''
For example, to run the tests in brownie/tests/test_format_input.py:
docker-compose exec sandbox bash -c 'python -m pytest tests/convert/test_format_input.py'
Contributing
Help is always appreciated! Feel free to open an issue if you find a problem, or a pull request if you've solved an issue.
Please check out our Contribution Guide prior to opening a pull request, and join the Brownie Gitter channel if you have any questions.
License
This project is licensed under the MIT license.
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