Contributing¶
Thank you for your interest in contributing! We welcome all contributions no matter their size. Please read along to learn how to get started. If you get stuck, feel free to ask for help in Libp2p Discover Server.
Setting the stage¶
To get started, fork the repository to your own GitHub account, then clone it to your development machine:
git clone git@github.com:your-github-username/py-ipld-dag.git
Next, install the development dependencies and set up the project. We recommend using a
virtual environment, such as virtualenv or
Python’s built-in venv module. Instructions vary by platform:
Linux Setup¶
Prerequisites¶
On Debian Linux, install make if needed (e.g. for make test, make docs-ci):
sudo apt install make
Setup Steps¶
Install the development dependencies using a virtual environment:
Option 1: Using uv (recommended, same as CI):
First, install uv if you haven’t already:
curl -LsSf https://astral.sh/uv/install.sh | sh
Or using pip:
pip install uv
Then set up the development environment:
cd py-ipld-dag
uv venv venv
source venv/bin/activate
uv pip install --upgrade pip
uv pip install --group dev -e .
pre-commit install
Option 2: Manual setup with pip:
cd py-ipld-dag
python3 -m venv ./venv
. venv/bin/activate
pip install --upgrade pip # Ensure pip >= 25.1 for PEP 735 support
pip install --group dev -e .
pre-commit install
Note: This project uses PEP 735 [dependency-groups] which requires pip >= 25.1.
If you have an older pip version, upgrade it first.
An alternative using virtualenv:
cd py-ipld-dag
virtualenv -p python venv
. venv/bin/activate
pip install --upgrade pip # Ensure pip >= 25.1 for PEP 735 support
pip install --group dev -e .
pre-commit install
macOS Setup¶
Prerequisites¶
On macOS, make is usually already available (e.g. via Xcode Command Line Tools: xcode-select --install). No other system packages are required.
Setup Steps¶
Install the development dependencies using a virtual environment:
Option 1: Using uv (recommended, same as CI):
First, install uv if you haven’t already:
curl -LsSf https://astral.sh/uv/install.sh | sh
Or using Homebrew:
brew install uv
Or using pip:
pip install uv
Then set up the development environment:
cd py-ipld-dag
uv venv venv
source venv/bin/activate
uv pip install --upgrade pip
uv pip install --group dev -e .
pre-commit install
Option 2: Manual setup with pip:
cd py-ipld-dag
python3 -m venv ./venv
. venv/bin/activate
pip install --upgrade pip # Ensure pip >= 25.1 for PEP 735 support
pip install --group dev -e .
pre-commit install
Note: This project uses PEP 735 [dependency-groups] which requires pip >= 25.1.
If you have an older pip version, upgrade it first.
An alternative using virtualenv:
cd py-ipld-dag
virtualenv -p python venv
. venv/bin/activate
pip install --upgrade pip # Ensure pip >= 25.1 for PEP 735 support
pip install --group dev -e .
pre-commit install
Windows Development Setup¶
Prerequisites¶
Python 3.10+ - Download and install Python from python.org or the Microsoft Store. - Verify installation:
python --version
Git - Install Git using Windows Package Manager (
winget) or download from git-scm.com. - Verify:winget install --id Git.Git -e git --version
- Make
Option 1: Use Git Bash (included with Git) as a shell.
Option 2: Install
makevia Chocolatey (install Chocolatey first if needed: choco.io).Verify installation:
choco install make make --version
Setup Steps¶
Clone the Repository - Open PowerShell or Git Bash and run:
git clone git@github.com:your-github-username/py-ipld-dag.git cd py-ipld-dag
Create a Virtual Environment - In PowerShell:
python -m venv venv .\venv\Scripts\activate
Install Dependencies
Option A: Using uv (recommended, same as CI):
First, install
uvif you haven’t already:# Using pip pip install uv # Or using winget winget install --id=astral-sh.uv
Then set up the development environment:
uv venv venv .\venv\Scripts\activate uv pip install --upgrade pip uv pip install --group dev -e . pre-commit install
Option B: Using pip:
pip install --upgrade pip # Ensure pip >= 25.1 for PEP 735 support pip install --group dev -e . pre-commit install
Note: This project uses PEP 735
[dependency-groups]which requires pip >= 25.1. If you have an older pip version, upgrade it first.Verify Setup - Run the tests to ensure everything works:
pytest -v
If using
make testwith Git Bash:
make test
Notes¶
Use PowerShell, Command Prompt, or Git Bash as your shell.
Ensure all tools (Python, Git, CMake) are in your system PATH.
Requirements¶
The protobuf description in this repository was generated by protoc at version
30.1.
Running the tests¶
A great way to explore the code base is to run the tests.
We can run all tests with:
make test
Code Style¶
We use pre-commit to enforce a consistent code style across the library. This tool runs automatically with every commit, but you can also run it manually with:
make lint
If you need to make a commit that skips the pre-commit checks, you can do so with
git commit --no-verify.
This library uses type hints, which are enforced by the mypy tool (part of the
pre-commit checks). All new code is required to land with type hints, with the
exception of code within the tests directory.
Adding Examples¶
Organize examples in a package-style layout (one package directory per example) and follow the workflow below.
To add a new example (actual py-ipld-dag example: cid_interface):
Create a package directory in
examples/cid_interface.Create
examples/cid_interface/cid_interface.pywith the example code.Add
examples/cid_interface/__init__.pyso it is importable as a package.Add/update an examples index page in docs (for example
docs/examples.rst), and include it fromdocs/index.rst.Add example tests (for example
tests/examples/test_cid_interface.py).Add dedicated docs page for the example (for example
docs/examples.cid_interface.rst).Add or update the examples list in
examples/README.mdandREADME.md.Add a newsfragment under
newsfragments/using<ISSUE_OR_PR_NUMBER>.<TYPE>.rstwhen the change is user-facing.Optionally expose it as a CLI script via
pyproject.toml[project.scripts](py-ipld-dagusespyproject.toml, notsetup.py).Run project checks:
make pr make docs-ci
Actual py-ipld-dag example (package-style layout)¶
Example file: examples/cid_interface/cid_interface.py
"""Equivalent of js-multiformats/examples/cid-interface.js."""
import argparse
import json
from dag.utils import bytes_to_cid, cid_to_bytes, create_cid, string_to_cid
JS_EXPECTED = {
"base32_cid": "bagaaierasords4njcts6vs7qvdjfcvgnume4hqohf65zsfguprqphs3icwea",
"base64_cid": "mAYAEEiCTojlxqRTl6svwqNJRVM2jCcPBxy+7mRTUfGDzy2gViA",
}
def build_report() -> dict[str, object]:
value = {"hello": "world"}
encoded_json = json.dumps(value, separators=(",", ":"), sort_keys=True).encode("utf-8")
# Use the plain "json" multicodec to mirror js-multiformats cid-interface.js.
cid = create_cid(encoded_json, codec="json", hasher="sha2-256", version=1)
base32_cid = cid.encode("base32").decode("ascii")
base64_cid = cid.encode("base64").decode("ascii")
parsed_from_base32 = string_to_cid(base32_cid)
parsed_from_base64 = string_to_cid(base64_cid)
restored_from_bytes = bytes_to_cid(cid_to_bytes(cid))
matches = {
"base32_cid": base32_cid == JS_EXPECTED["base32_cid"],
"base64_cid": base64_cid == JS_EXPECTED["base64_cid"],
"parsed_from_base32_equals_original": parsed_from_base32.buffer == cid.buffer,
"parsed_from_base64_equals_original": parsed_from_base64.buffer == cid.buffer,
"bytes_round_trip_equals_original": restored_from_bytes.buffer == cid.buffer,
}
return {
"input": value,
"codec": "json",
"codec_code_hex": "0x200",
"cid_version": cid.version,
"default_cid_string": str(cid),
"base32_cid": base32_cid,
"base64_cid": base64_cid,
"js_expected": JS_EXPECTED,
"matches_js_comments": matches,
}
def main() -> None:
parser = argparse.ArgumentParser(description="CID interface example")
parser.add_argument("--json", action="store_true", help="Print structured JSON report")
args = parser.parse_args()
report = build_report()
if args.json:
print(json.dumps(report, indent=2, sort_keys=True))
return
print(f"Example CID (default string form): {report['default_cid_string']}")
print(f"Codec code: {report['codec_code_hex']}")
print(f"CID version: {report['cid_version']}")
print(f"base64 encoded CID: {report['base64_cid']}")
print(f"Parsed from base64 equals original: {report['matches_js_comments']['parsed_from_base64_equals_original']}")
print(f"base32 encoded CID: {report['base32_cid']}")
print(f"Parsed from base32 equals original: {report['matches_js_comments']['parsed_from_base32_equals_original']}")
print(f"CID bytes round-trip equal: {report['matches_js_comments']['bytes_round_trip_equals_original']}")
print(
"Matches js comments (base32/base64): "
f"{report['matches_js_comments']['base32_cid']}/"
f"{report['matches_js_comments']['base64_cid']}"
)
if __name__ == "__main__":
main()
Run it:
source venv/bin/activate
python -m examples.cid_interface.cid_interface
python -m examples.cid_interface.cid_interface --json
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.
GitHub’s documentation for working on pull requests is available here.
Once you’ve made a pull request, take a look at the GitHub Actions 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.
Releasing¶
Releases are typically done from the master branch.
This project defines make notes and make release in the repository
Makefile.
Final test before each release¶
Before releasing a new version, build and test the package:
git checkout master && git pull
python -m build && pip install dist/*.whl # or install from dist/ and test
This will build the package and install it in a temporary virtual environment. Follow the instructions to activate the venv and test whatever you think is important.
You can also preview the release notes:
towncrier --draft
Build the release notes¶
Before bumping the version number, build the release notes (consumes newsfragments and
updates docs/release_notes.rst):
make notes bump=PART
Use PART as patch, minor, or major. This generates the release notes for
the upcoming version and commits the result.
Bump version and tag¶
Bump the version, build the package, push the release commit and tag, and upload to PyPI:
make release bump=PART
where PART is patch, minor, or major. This creates a version bump
commit and tag (e.g. v0.1.1), builds the package, pushes the commit and tag, and
uploads the distribution.
Which version part to bump¶
PART must be one of: major, minor, or patch (this project uses
{major}.{minor}.{patch} only).
To issue an unstable version when the current version is stable, specify the new version
explicitly, e.g. bump-my-version bump --new-version 0.2.0-alpha.1.
To preview the next version without changing any files, use
bump-my-version show -i PART new_version where PART is patch, minor, or
major. Example: bump-my-version show -i patch new_version prints 0.1.1.