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CONTRIBUTING.md

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Contributing to Picard

Coding Style

As most of the other projects written in Python, we use the PEP 8. Though, we ignore some of the recommendations:

  • E501 - Maximum line length (79 characters). The general limit we have is somewhere around 120-130.

Recommended video: "Beyond PEP 8 -- Best practices for beautiful intelligible code" by Raymond Hettinger at PyCon 2015, which talks about the famous P versus NP problem.

The general idea is to make the code within a project consistent and easy to interpret (for humans).

Developers may install few extra tools using:

pip install -r requirements-dev.txt

To fix or preserve imports style, one can use isort -rc . command (requires the isort tool, see .isort.cfg).

It is recommended to add a pre-commit hook to check whether imports in changed code follow the conventions. Add a file .git/hooks/pre-commit with the following content and make it executable:

#!/usr/bin/env bash

PYFILES=$(git diff --cached --name-only | grep "\\.py$" | grep --invert-match \
  -e "^tagger\\.py$" \
  -e "^picard/resources\\.py$" \
  -e "^picard/\(coverart/providers\|formats\)/__init__\\.py$" \
  -e "^picard/const/\(__init__\|attributes\|countries\)\\.py$" \
  -e "^picard/ui/ui_.*\\.py$" \
  -e "^scripts/picard\\.in$")

if [ ! -z "$PYFILES" ]; then
  set -e
  isort --check-only --diff --quiet $PYFILES
  flake8 $PYFILES
fi

Docstrings

Unless the function is easy to understand quickly, it should probably have a docstring describing what it does, how it does it, what the arguments are, and what the expected output is.

We recommend using "Google-style" docstrings for writing docstrings.

Picard specific code

Picard has some auto-generated picard/ui/ui_*.py PyQt UI related files. Please do not change them directly. To modify them, use Qt-Designer to edit the ui/*.ui and use the command python setup.py build_ui to generate the corresponding ui_*.py files.

We use snake-case to name all functions and variables except for the pre-generated PyQt functions/variables.

gettext and gettext-noop have been built-in the Picard code as _ and N_ respectively to provide support for internationalization/localization. You can use them without imports across all of Picard code. Make sure to mark all displayable strings for translation using _ or N_ as applicable. You can read more about python-gettext here.

Git Work-flow

We follow the "typical" GitHub workflow when contributing changes:

  1. Fork a repository into your account.
  2. Create a new branch and give it a meaningful name. For example, if you are going to fix issue PICARD-257, branch can be called picard-257 or preserve-artwork.
  3. Make your changes and commit them with a good description. Your commit subject should be written in imperative voice and sentence case. With regards to the contents of the message itself, you don't need to provide a lot of details, but make sure that people who look at the commit history afterwards can understand what you were changing and why.
  4. Create a new pull request on GitHub. Make sure that the title of your pull request is descriptive and consistent with the rest. If you are fixing issue that exists in our bug tracker reference it like this: PICARD-257: Allow preserving existing cover-art tags. Not [PICARD-257] - Allow preserving existing cover-art tags or Allow preserving existing cover-art tags (PICARD-257) or simply PICARD-257.
  5. Make sure to provide a bug tracker link to the issue that your pull request solves in the description.
  6. Do not make one big pull request with a lot of unrelated changes. If you are solving more than one issue, unless they are closely related, split them into multiple pull requests. It makes it easier to review and merge the patches this way.
  7. Try to avoid un-necessary commits after code reviews by making use of git rebase to fix merge conflicts, remove unwanted commits, rewording and editing previous commits or squashing multiple small related changes into one commit.

Translations

See po/README.md for information about translations.

User Documentation

See the Picard Documentation project for information about contributing to the documentation for MusicBrainz Picard (aka the Picard User Guide).

Audio Metadata Specifications

The core functionality of Picard is the ability to read and write tags from / to files with different tagging formats. When implementing support for new tags the goal is to be compatible with existing software as good as possible. Below are links to relevant metadata specifications and to the tag mapping tables used by various audio software.

Format specs

Tag mapping tables

Also relevant:

Other specs