Contributing

Thanks for your interest in contributing to Web3.py! Read on to learn what would be helpful and how to go about it. If you get stuck along the way, reach for help in the Python Discord server.

How to Help

Without code:

  • Answer user questions within GitHub issues, Stack Overflow, or the Python Discord server.

  • Write or record tutorial content.

  • Improve our documentation (including typo fixes).

  • Open an issue on GitHub to document a bug. Include as much detail as possible, e.g., how to reproduce the issue and any exception messages.

With code:

  • Fix a bug that has been reported in an issue.

  • Add a feature that has been documented in an issue.

  • Add a missing test case.

Warning

Before you start: always ask if a change would be desirable or let us know that you plan to work on something! We don’t want to waste your time on changes we can’t accept or duplicated effort.

Your Development Environment

Note

Use of a virtual environment is strongly advised for minimizing dependency issues. See this article for usage patterns.

All pull requests are made from a fork of the repository; use the GitHub UI to create a fork. Web3.py depends on submodules, so when you clone your fork to your local machine, include the --recursive flag:

$ git clone --recursive https://github.com/<your-github-username>/web3.py.git
$ cd web3.py

Finally, install all development dependencies:

$ pip install -e ".[dev]"

Using Docker

Developing within Docker is not required, but if you prefer that workflow, use the sandbox container provided in the docker-compose.yml file.

To start up the test environment, run:

$ docker-compose up -d

This will build a Docker container set up with an environment to run the Python test code.

Note

This container does not have go-ethereum installed, so you cannot run the go-ethereum test suite.

To run the Python tests from your local machine:

$ docker-compose exec sandbox bash -c 'pytest -n 4 -f -k "not goethereum"'

You can run arbitrary commands inside the Docker container by using the bash -c prefix.

$ docker-compose exec sandbox bash -c ''

Or, if you would like to open a session to the container, run:

$ docker-compose exec sandbox bash

Code Style

We value code consistency. To ensure your contribution conforms to the style being used in this project, we encourage you to read our style guide.

Type Hints

This code base makes use of type hints. Type hints make it easy to prevent certain types of bugs, enable richer tooling, and enhance the documentation, making the code easier to follow.

All new code is required to include type hints, with the exception of tests.

All parameters, as well as the return type of functions, are expected to be typed, with the exception of self and cls as seen in the following example.

def __init__(self, wrapped_db: DatabaseAPI) -> None:
    self.wrapped_db = wrapped_db
    self.reset()

Running The Tests

A great way to explore the code base is to run the tests.

First, install the test dependencies:

$ pip install -e ".[tester]"

You can run all tests with:

$ pytest

However, running the entire test suite takes a very long time and is generally impractical. Typically, you’ll just want to run a subset instead, like:

$ pytest tests/core/eth-module/test_accounts.py

You can use tox to run all the tests for a given version of Python:

$ tox -e py37-core

Linting is also performed by the CI. You can save yourself some time by checking for linting errors locally:

$ make lint

It is important to understand that each pull request must pass the full test suite as part of the CI check. This test suite will run in the CI anytime a pull request is opened or updated.

Writing Tests

We strongly encourage contributors to write good tests for their code as part of the code review process. This helps ensure that your code is doing what it should be doing.

We strongly encourage you to use our existing tests for both guidance and homogeneity / consistency across our tests. We use pytest for our tests. For more specific pytest guidance, please refer to the pytest documentation.

Within the pytest scope, conftest.py files are used for common code shared between modules that exist within the same directory as that particular conftest.py file.

Unit Testing

Unit tests are meant to test the logic of smaller chunks (or units) of the codebase without having to be wired up to a client. Most of the time this means testing selected methods on their own. They are meant to test the logic of your code and make sure that you get expected outputs out of selected inputs.

Our unit tests live under appropriately named child directories within the /tests directory. The core of the unit tests live under /tests/core. Do your best to follow the existing structure when choosing where to add your unit test.

Integration Testing

Our integration test suite setup lives under the /tests/integration directory. The integration test suite is dependent on what we call “fixtures” (not to be confused with pytest fixtures). These zip file fixtures, which also live in the /tests/integration directory, are configured to run the specific client we are testing against along with a genesis configuration that gives our tests some pre-determined useful objects (like unlocked, pre-loaded accounts) to be able to interact with the client and run our tests.

Though the setup lives in /tests/integration, our integration module tests are written across different files within /web3/_utils/module_testing. The tests are written there but run configurations exist across the different files within /tests/integration/. The parent /integration directory houses some common configuration shared across all client tests, whereas the /go_ethereum and /parity directories house common code to be shared among each respective client tests.

  • common.py files within the client directories contain code that is shared across all provider tests (http, ipc, and ws). This is mostly used to override tests that span across all providers.

  • conftest.py files within each of these directories contain mostly code that can be used by all test files that exist within the same directory as the conftest.py file. This is mostly used to house pytest fixtures to be shared among our tests. Refer to the pytest documentation on fixtures for more information.

  • test_client_provider.py (e.g. test_goethereum_http.py) files are where client-and-provider-specific test configurations exist. This is mostly used to override tests specific to the provider type for the respective client.

Manual Testing

To import and test an unreleased version of Web3.py in another context, you can install it from your development directory:

$ pip install -e ../path/to/web3py

Documentation

Good documentation will lead to quicker adoption and happier users. Please check out our guide on how to create documentation for the Python Ethereum ecosystem.

Pull requests generate their own preview of the latest documentation at https://web3py--<pr-number>.org.readthedocs.build/en/<pr-number>/.

Pull Requests

It’s a good idea to make pull requests early on. A pull request represents the start of a discussion, and doesn’t necessarily need to be the final, finished submission.

See GitHub’s documentation for working on pull requests.

Once you’ve made a pull request take a look at the Circle CI build status in the GitHub interface and make sure all tests are passing. In general, pull requests that do not pass the CI build yet won’t get reviewed unless explicitly requested.

If the pull request introduces changes that should be reflected in the release notes, please add a newsfragment file as explained here.

If possible, the change to the release notes file should be included in the commit that introduces the feature or bugfix.

Generating New Fixtures

Our integration tests make use of Geth and Parity/OpenEthereum private networks. When new versions of the client software are introduced, new fixtures should be generated.

Before generating new fixtures, make sure you have the test dependencies installed:

$ pip install -e ".[tester]"

Note

A “fixture” is a pre-synced network. It’s the result of configuring and running a client, deploying the test contracts, and saving the resulting state for testing Web3.py functionality against.

Geth Fixtures

  1. Install the desired Geth version on your machine locally. We recommend py-geth for this purpose, because it enables you to easily manage multiple versions of Geth.

    Note that py-geth will need updating to support each new Geth version as well. Adding newer Geth versions to py-geth is straightforward; see past commits for a template.

    If py-geth has the Geth version you need, install that version locally. For example:

    $ python -m geth.install v1.10.6
    
  2. Specify the Geth binary and run the fixture creation script (from within the web3.py directory):

    $ GETH_BINARY=~/.py-geth/geth-v1.10.6/bin/geth python ./tests/integration/generate_fixtures/go_ethereum.py ./tests/integration/geth-1.10.6-fixture
    
  3. The output of this script is your fixture, a zip file, which is now stored in /tests/integration/. Update the /tests/integration/go_ethereum/conftest.py file to point to this new fixture. Delete the old fixture.

  4. Run the tests. To ensure that the tests run with the correct Geth version locally, you may again include the GETH_BINARY environment variable.

CI Testing With a Nightly Geth Build

Occasionally you’ll want to have CI run the test suite against an unreleased version of Geth, for example, to test upcoming hard fork changes. The workflow described below is for testing only, i.e., open a PR, let CI run the tests, but the changes should only be merged into master once the Geth release is published or you have some workaround that doesn’t require test fixtures built from an unstable client.

  1. Configure tests/integration/generate_fixtures/go_ethereum/common.py as needed.

  2. Geth automagically compiles new builds for every commit that gets merged into the codebase. Download the desired build from the develop builds.

  3. Build your test fixture, passing in the binary you just downloaded via GETH_BINARY. Don’t forget to update the /tests/integration/go_ethereum/conftest.py file to point to your new fixture.

  4. Our CI runs on Ubuntu, so download the corresponding 64-bit Linux develop build, then add it to the root of your Web3.py directory. Rename the binary custom_geth.

  5. In .circleci/config.yml, update jobs relying on geth_steps, to instead use custom_geth_steps.

  6. Create a PR and let CI do its thing.

Parity/OpenEthereum Fixtures

  1. The most reliable way to get a specific Parity/OE binary is to download the source code via GitHub releases.

  2. Build the binary from source. (This is will take a few minutes.)

  3. Specify the path to this binary in the get_parity_binary function of the /tests/integration/generate_fixtures/parity.py file.

  4. Run the fixture generation script:

$ python /tests/integration/generate_fixtures/parity.py /tests/integration/parity-X.Y.Z-fixture
  1. The output of this script is your fixture, a zip file. Store the fixture in the /tests/integration/ directory and update the /tests/integration/parity/conftest.py file to point the new fixture.

  2. By this point, you may have noticed that Parity fixture generation relies on a Geth network to sync from. In the output of the generation script are the hashes of the various contracts that it mined. Update the corresponding values in the /parity/conftest.py file with those hashes.

  3. Run the tests.

Releasing

Final Test Before Each Release

Before releasing a new version, build and test the package that will be released. There’s a script to build and install the wheel locally, then generate a temporary virtualenv for smoke testing:

$ git checkout master && git pull

$ make package

# in another shell, navigate to the virtualenv mentioned in output of ^

# load the virtualenv with the packaged web3.py release
$ source package-smoke-test/bin/activate

# smoke test the release
$ pip install ipython
$ ipython
>>> from web3.auto import w3
>>> w3.isConnected()
>>> ...

Verify The Latest Documentation

To preview the documentation that will get published:

$ make docs

Preview The Release Notes

$ towncrier --draft

Compile The Release Notes

After confirming that the release package looks okay, compile the release notes:

$ make notes bump=$$VERSION_PART_TO_BUMP$$

You may need to fix up any broken release note fragments before committing. Keep running make build-docs until it passes, then commit and carry on.

Push The Release to GitHub & PyPI

After committing the compiled release notes and pushing them to the master branch, release a new version:

$ make release bump=$$VERSION_PART_TO_BUMP$$

Which Version Part to Bump

The version format for this repo is {major}.{minor}.{patch} for stable, and {major}.{minor}.{patch}-{stage}.{devnum} for unstable (stage can be alpha or beta).

During a release, specify which part to bump, like make release bump=minor or make release bump=devnum.

If you are in an alpha version, make release bump=stage will bump to beta. If you are in a beta version, make release bump=stage will bump to a stable version.

To issue an unstable version when the current version is stable, specify the new version explicitly, like make release bump="--new-version 4.0.0-alpha.1 devnum".