Python package maintenance¶
Package name policy¶
All packages in dev-python/*
that are published on PyPI, must be
named to match their respective PyPI names. The package names must
match after normalization specified in PEP 503, i.e. after replacing
all runs of dot, hyphen and underscore characters ([-_.]
) with
a single hyphen (-
) and matching case-insensitively.
Notably, prefixes and suffixes such as python-
must not be removed.
To follow Gentoo package naming rules, all dots must be replaced
by hyphens. There is no preference of whether uppercase letters
in package names should be preserved or turned lowercase, or whether
underscores should be replaced by hyphens. However, preserving
consistency within groups of related packages is recommended.
Since it is not uncommon for multiple packages to be published with very
similar names, it is crucial that all packages conform to this policy.
Gentoo-specific renames not only make it harder for users to find
the specific package they need but can also create name conflicts when
another package needs to be added. For example, adding
python-bugzilla
package as dev-python/bugzilla
would conflict
with the bugzilla
package that is also present on PyPI.
The following table illustrates mapping PyPI package names to Gentoo package names.
PyPI package name
Correct Gentoo package name
Flask
dev-python/Flask
or/flask
flask-babel
dev-python/flask-babel
github3.py
dev-python/github3-py
python-bugzilla
dev-python/python-bugzilla
sphinx_pytest
dev-python/sphinx_pytest
or/sphinx-pytest
sphinx-tabs
dev-python/sphinx-tabs
zope.interface
dev-python/zope-interface
Note that the presented table provides multiple options for some
packages. This is particularly a problem when upstreams use
inconsistent naming rules. For example, Flask
itself uses title
case name, while flask-babel
has recently switched to lowercase.
Using lowercase for all packages can avoid the inconsistency within
Gentoo. It may also be a good idea to point upstream to PEP 423
that specifies package naming recommendations.
PyPI automatically redirects to canonical package URLs. However, please
make sure to use these canonical URLs in HOMEPAGE
, SRC_URI
and remote-id
to avoid unnecessary redirects. These are reported
by pkgcheck scan --net
.
When packaging software that is not published on PyPI, or adding multiple Gentoo packages corresponding to the same PyPI project, please bear potential future collisions in mind when naming it. Avoid names that are already used for other PyPI projects. When in doubt, prefer more verbose names that are less likely to be reused in the future. You may also suggest that upstream publishes to PyPI, or at least pushes an empty package to reserve the name.
Support for Python 2¶
Since Python 2.7 reached EOL, Gentoo is currently phasing out support
for Python 2. Unless your package or its reverse dependencies really
need it, you should omit it from PYTHON_COMPAT
. If you’re adding
a new package and it does not support Python 3, do not add it.
Many upstreams are removing Python 2 support from new releases of their software. We remove it proactively whenever reverse dependencies permit in order to anticipate this and avoid having to deal with lots of reverse dependencies afterwards.
Packages that do not support Python 3 and are unlikely to start supporting it soon are being slowly removed.
Which implementations to test new packages for?¶
The absolute minimum set of targets are the current default targets
found in profiles/base/make.defaults
. However, developers
are strongly encouraged to test at least the next Python 3 version
in order to ease future transition, and preferably all future versions.
Marking for PyPy3 is optional. At this moment, we do not aim for wide coverage of PyPy3 support.
Adding new Python implementations to existing packages¶
New Python implementations can generally be added to existing packages without a revision bump. This is because the new dependencies are added conditionally to new USE flags. Since the existing users can not have the new flags enabled, the dependencies do not need to be proactively added to existing installations.
This usually applies to stable packages as well as new Python targets
are generally use.stable.mask
-ed. This means that stable users
will not be able to enable newly added flags and therefore the risk
of the change breaking stable systems is minimal.
Which packages can be (co-)maintained by the Python project?¶
A large part of the Python ecosystem is fairly consistent, making it feasible for (co-)maintenance by the Gentoo Python team.
As a rule of thumb, Python team is ready to maintain packages specific to the Python ecosystem and useful for the general population of Python programmers. This includes Python interpreters and tooling, packages purely providing Python modules and extensions and utilities specific to the Python language.
However, the Python team has limited manpower, therefore it may reject packages that have high maintenance requirements. As a rule, Python team does not accept packages without working tests.
If your package matches the above profile, feel free to ask a member of the Python project whether they would like to (co-)maintain the package. However, if you are not a member of the project, please do not add us without asking first.
Porting packages to a new EAPI¶
When porting packages to a new EAPI, please take care not to port
the dependencies of Portage prematurely. This generally includes
app-portage/gemato
, dev-python/setuptools
and their recursive
dependencies.
Ideally, these ebuilds carry an appropriate note above their EAPI line, e.g.:
# please keep this ebuild at EAPI 7 -- sys-apps/portage dep
EAPI=7
This does not apply to test dependencies — they are not strictly necessary to install a new Portage version.
Monitoring new package versions¶
PyPI release feeds¶
The most efficient way to follow new Python package releases are the feeds found on PyPI. These can be found in the package’s “Release history” tab, as “RSS feed”.
The Gentoo Python project maintains a comprehensive list of PyPI feeds
for packages in dev-python/
category (as well as other important
packages maintained by the Python team) in OPML format.
Checking via pip¶
The pip list --outdated command described in a followup section can also be used to verify installed packages against their latest PyPI releases. However, this is naturally limited to packages installed on the particular system, and does not account for newer versions being already available in the Gentoo repository.
Repology¶
Repology provides a comprehensive service for tracking distribution
package versions and upstream releases. The easiest ways to find Python
packages present in the Gentoo repository is to search by their
maintainer’s e-mail or category (e.g. dev-python
). When searching
by name, the majority of Python-specific package use python:
prefix
in their Repology names.
Unfortunately, Repology is very susceptible to false positives. Examples of false positives include other distributions using custom version numbers, replacing packages with forks or simply Repology confusing different packages with the same name. If you find false positives, please use the ‘Report’ option to request a correction.
Please also note that Repology is unable to handle the less common
version numbers that do not have a clear mapping to Gentoo version
syntax (e.g. .post
releases).
Routine checks on installed Python packages¶
The following actions are recommended to be run periodically on systems used to test Python packages. They could be run e.g. via post-sync actions.
pip check¶
pip check
(provided by dev-python/pip
) can be used to check
installed packages for missing dependencies and version conflicts:
$ python3.10 -m pip check
meson-python 0.6.0 requires ninja, which is not installed.
cx-freeze 6.11.1 requires patchelf, which is not installed.
openapi-spec-validator 0.4.0 has requirement openapi-schema-validator<0.3.0,>=0.2.0, but you have openapi-schema-validator 0.3.0.
cx-freeze 6.11.1 has requirement setuptools<=60.10.0,>=59.0.1, but you have setuptools 62.6.0.
This tool checks the installed packages for a single Python implementation only, so you need to run it for every installed interpreter separately.
In some cases the issues are caused by unnecessary version pins or upstream packages listing optional dependencies as obligatory. The preferred fix is to fix the package metadata rather than modifying the dependencies in ebuild.
Warning
pip does not support the Provides
metadata, so it can
produce false positives about certifi
dependency. Please ignore
these:
httpcore 0.15.0 requires certifi, which is not installed.
httpx 0.23.0 requires certifi, which is not installed.
sphobjinv 2.2.2 requires certifi, which is not installed.
requests 2.28.0 requires certifi, which is not installed.
pip list --outdated¶
pip list --outdated
(provided by dev-python/pip
) can be used
to check whether installed packages are up-to-date. This can help
checking for pending version bumps, as well as to detect wrong versions
in installed metadata:
$ pip3.11 list --outdated
Package Version Latest Type
------------------------ ----------------- ------- -----
dirty-equals 0 0.4 wheel
filetype 1.0.10 1.0.13 wheel
mercurial 6.1.3 6.1.4 sdist
node-semver 0.8.0 0.8.1 wheel
PyQt-builder 1.12.2 1.13.0 wheel
PyQt5 5.15.6 5.15.7 wheel
PyQt5-sip 12.10.1 12.11.0 sdist
PyQtWebEngine 5.15.5 5.15.6 wheel
Routes 2.5.1.dev20220522 2.5.1 wheel
selenium 3.141.0 4.3.0 wheel
sip 6.6.1 6.6.2 wheel
sphinxcontrib-websupport 1.2.4.dev20220515 1.2.4 wheel
uri-template 0.0.0 1.2.0 wheel
watchfiles 0.0.0 0.15.0 wheel
watchgod 0.0.dev0 0.8.2 wheel
Again, the action applies to a single Python implementation only and needs to be repeated for all of them.
Particularly note the packages with versions containing only zeroes in the above list — this is usually a sign that the build system does not recognize the version correctly. In some cases, the only working solution would be to sed the correct version in.
The additional dev
suffix is usually appended via tag_build
option in setup.cfg
. This causes the version to be considered
older than the actual release, and therefore the respective options need
to be stripped.
gpy-verify-deps¶
gpy-verify-deps
(provided by app-portage/gpyutils
) compares
the ebuild dependencies of all installed Python packages against their
metadata. It reports the dependencies that are potentially missing
in ebuilds, as well as dependencies potentially missing
[${PYTHON_USEDEP}]
. For the latter, it assumes that all
dependencies listed in package metadata are used as Python modules.
$ gpy-verify-deps
[...]
=dev-python/tempest-31.0.0: missing dependency: dev-python/oslo-serialization [*]
=dev-python/tempest-31.0.0: missing dependency: dev-python/cryptography [*]
=dev-python/tempest-31.0.0: missing dependency: dev-python/stestr [*]
=dev-python/versioningit-2.0.0: missing dependency: dev-python/tomli [*]
=dev-python/versioningit-2.0.0: missing dependency: dev-python/importlib_metadata [python3.8 python3.9]
=dev-python/wstools-0.4.10-r1: missing dependency: dev-python/setuptools [*]
The check is done for all installed interpreters. The report indicates
whether the dependency upstream is unconditional ([*]
) or specific
to a subset of Python implementations.
Similarly to pip check
results, every dependency needs to be
verified. In many cases, upstream metadata lists optional or build-time
dependencies as runtime dependencies, and it is preferable to strip them
than to copy the mistakes into the ebuild.