PEP 517 – A build-system independent format for source trees
- PEP
- 517
- Title
- A build-system independent format for source trees
- Author
- Nathaniel J. Smith <njs at pobox.com>, Thomas Kluyver <thomas at kluyver.me.uk>
- BDFL-Delegate
- Nick Coghlan <ncoghlan at gmail.com>
- Discussions-To
- <distutils-sig at python.org>
- Status
- Final
- Type
- Standards Track
- Created
- 30-Sep-2015
- Post-History
- 1 Oct 2015, 25 Oct 2015, 19 May 2017, 11 Sep 2017
- Resolution
- https://mail.python.org/pipermail/distutils-sig/2017-September/031548.html
Contents
Abstract
While distutils
/ setuptools
have taken us a long way, they
suffer from three serious problems: (a) they’re missing important
features like usable build-time dependency declaration,
autoconfiguration, and even basic ergonomic niceties like DRY-compliant
version number management, and (b) extending them is difficult, so
while there do exist various solutions to the above problems, they’re
often quirky, fragile, and expensive to maintain, and yet (c) it’s
very difficult to use anything else, because distutils/setuptools
provide the standard interface for installing packages expected by
both users and installation tools like pip
.
Previous efforts (e.g. distutils2 or setuptools itself) have attempted to solve problems (a) and/or (b). This proposal aims to solve (c).
The goal of this PEP is get distutils-sig out of the business of being a gatekeeper for Python build systems. If you want to use distutils, great; if you want to use something else, then that should be easy to do using standardized methods. The difficulty of interfacing with distutils means that there aren’t many such systems right now, but to give a sense of what we’re thinking about see flit or bento. Fortunately, wheels have now solved many of the hard problems here – e.g. it’s no longer necessary that a build system also know about every possible installation configuration – so pretty much all we really need from a build system is that it have some way to spit out standard-compliant wheels and sdists.
We therefore propose a new, relatively minimal interface for
installation tools like pip
to interact with package source trees
and source distributions.
Provisional acceptance
In accordance with the PyPA’s specification process, this PEP has been
provisionally accepted
for initial implementation in pip
and other PyPA tools.
During this time, the specification is still subject to revision based on real world experience with those initial implementations.
Terminology and goals
A source tree is something like a VCS checkout. We need a standard
interface for installing from this format, to support usages like
pip install some-directory/
.
A source distribution is a static snapshot representing a particular
release of some source code, like lxml-3.4.4.tar.gz
. Source
distributions serve many purposes: they form an archival record of
releases, they provide a stupid-simple de facto standard for tools
that want to ingest and process large corpora of code, possibly
written in many languages (e.g. code search), they act as the input to
downstream packaging systems like Debian/Fedora/Conda/…, and so
forth. In the Python ecosystem they additionally have a particularly
important role to play, because packaging tools like pip
are able
to use source distributions to fulfill binary dependencies, e.g. if
there is a distribution foo.whl
which declares a dependency on
bar
, then we need to support the case where pip install bar
or
pip install foo
automatically locates the sdist for bar
,
downloads it, builds it, and installs the resulting package.
Source distributions are also known as sdists for short.
A build frontend is a tool that users might run that takes arbitrary
source trees or source distributions and builds wheels from them. The
actual building is done by each source tree’s build backend. In a
command like pip wheel some-directory/
, pip is acting as a build
frontend.
An integration frontend is a tool that users might run that takes a
set of package requirements (e.g. a requirements.txt file) and
attempts to update a working environment to satisfy those
requirements. This may require locating, building, and installing a
combination of wheels and sdists. In a command like pip install
lxml==2.4.0
, pip is acting as an integration frontend.
Source trees
There is an existing, legacy source tree format involving
setup.py
. We don’t try to specify it further; its de facto
specification is encoded in the source code and documentation of
distutils
, setuptools
, pip
, and other tools. We’ll refer
to it as the setup.py
-style.
Here we define a new style of source tree based around the
pyproject.toml
file defined in PEP 518, extending the
[build-system]
table in that file with one additional key,
build-backend
. Here’s an example of how it would look:
[build-system]
# Defined by PEP 518:
requires = ["flit"]
# Defined by this PEP:
build-backend = "flit.api:main"
build-backend
is a string naming a Python object that will be
used to perform the build (see below for details). This is formatted
following the same module:object
syntax as a setuptools
entry
point. For instance, if the string is "flit.api:main"
as in the
example above, this object would be looked up by executing the
equivalent of:
import flit.api
backend = flit.api.main
It’s also legal to leave out the :object
part, e.g.
build-backend = "flit.api"
which acts like:
import flit.api
backend = flit.api
Formally, the string should satisfy this grammar:
identifier = (letter | '_') (letter | '_' | digit)*
module_path = identifier ('.' identifier)*
object_path = identifier ('.' identifier)*
entry_point = module_path (':' object_path)?
And we import module_path
and then lookup
module_path.object_path
(or just module_path
if
object_path
is missing).
When importing the module path, we do not look in the directory containing the
source tree, unless that would be on sys.path
anyway (e.g. because it is
specified in PYTHONPATH). Although Python automatically adds the working
directory to sys.path
in some situations, code to resolve the backend should
not be affected by this.
If the pyproject.toml
file is absent, or the build-backend
key is missing, the source tree is not using this specification, and
tools should revert to the legacy behaviour of running setup.py
(either
directly, or by implicitly invoking the setuptools.build_meta:__legacy__
backend).
Where the build-backend
key exists, this takes precedence and the source tree follows the format and
conventions of the specified backend (as such no setup.py
is needed unless the backend requires it).
Projects may still wish to include a setup.py
for compatibility with tools that do not use this spec.
This PEP also defines a backend-path
key for use in pyproject.toml
, see
the “In-Tree Build Backends” section below. This key would be used as follows:
[build-system]
# Defined by PEP 518:
requires = ["flit"]
# Defined by this PEP:
build-backend = "local_backend"
backend-path = ["backend"]
Build requirements
This PEP places a number of additional requirements on the “build requirements”
section of pyproject.toml
. These are intended to ensure that projects do
not create impossible to satisfy conditions with their build requirements.
- Project build requirements will define a directed graph of requirements (project A needs B to build, B needs C and D, etc.) This graph MUST NOT contain cycles. If (due to lack of co-ordination between projects, for example) a cycle is present, front ends MAY refuse to build the project.
- Where build requirements are available as wheels, front ends SHOULD use these where practical, to avoid deeply nested builds. However front ends MAY have modes where they do not consider wheels when locating build requirements, and so projects MUST NOT assume that publishing wheels is sufficient to break a requirement cycle.
- Front ends SHOULD check explicitly for requirement cycles, and terminate the build with an informative message if one is found.
Note in particular that the requirement for no requirement cycles means that backends wishing to self-host (i.e., building a wheel for a backend uses that backend for the build) need to make special provision to avoid causing cycles. Typically this will involve specifying themselves as an in-tree backend, and avoiding external build dependencies (usually by vendoring them).
Build backend interface
The build backend object is expected to have attributes which provide
some or all of the following hooks. The common config_settings
argument is described after the individual hooks.
Mandatory hooks
build_wheel
build_wheel(wheel_directory, config_settings=None, metadata_directory=None):
...
Must build a .whl file, and place it in the specified wheel_directory
. It
must return the basename (not the full path) of the .whl
file it creates,
as a unicode string.
If the build frontend has previously called prepare_metadata_for_build_wheel
and depends on the wheel resulting from this call to have metadata
matching this earlier call, then it should provide the path to the created
.dist-info
directory as the metadata_directory
argument. If this
argument is provided, then build_wheel
MUST produce a wheel with identical
metadata. The directory passed in by the build frontend MUST be
identical to the directory created by prepare_metadata_for_build_wheel
,
including any unrecognized files it created.
Backends which do not provide the prepare_metadata_for_build_wheel
hook may
either silently ignore the metadata_directory
parameter to build_wheel
,
or else raise an exception when it is set to anything other than None
.
To ensure that wheels from different sources are built the same way, frontends
may call build_sdist
first, and then call build_wheel
in the unpacked
sdist. But if the backend indicates that it is missing some requirements for
creating an sdist (see below), the frontend will fall back to calling
build_wheel
in the source directory.
The source directory may be read-only. Backends should therefore be prepared to build without creating or modifying any files in the source directory, but they may opt not to handle this case, in which case failures will be visible to the user. Frontends are not responsible for any special handling of read-only source directories.
The backend may store intermediate artifacts in cache locations or temporary directories. The presence or absence of any caches should not make a material difference to the final result of the build.
build_sdist
def build_sdist(sdist_directory, config_settings=None):
...
Must build a .tar.gz source distribution and place it in the specified
sdist_directory
. It must return the basename (not the full path) of the
.tar.gz
file it creates, as a unicode string.
A .tar.gz source distribution (sdist) contains a single top-level directory called
{name}-{version}
(e.g. foo-1.0
), containing the source files of the
package. This directory must also contain the
pyproject.toml
from the build directory, and a PKG-INFO file containing
metadata in the format described in
PEP 345. Although historically
zip files have also been used as sdists, this hook should produce a gzipped
tarball. This is already the more common format for sdists, and having a
consistent format makes for simpler tooling.
The generated tarball should use the modern POSIX.1-2001 pax tar format, which
specifies UTF-8 based file names. This is not yet the default for the tarfile
module shipped with Python 3.6, so backends using the tarfile module need to
explicitly pass format=tarfile.PAX_FORMAT
.
Some backends may have extra requirements for creating sdists, such as version
control tools. However, some frontends may prefer to make intermediate sdists
when producing wheels, to ensure consistency.
If the backend cannot produce an sdist because a dependency is missing, or
for another well understood reason, it should raise an exception of a specific
type which it makes available as UnsupportedOperation
on the backend object.
If the frontend gets this exception while building an sdist as an intermediate
for a wheel, it should fall back to building a wheel directly.
The backend does not need to define this exception type if it would never raise
it.
Optional hooks
get_requires_for_build_wheel
def get_requires_for_build_wheel(config_settings=None):
...
This hook MUST return an additional list of strings containing PEP 508
dependency specifications, above and beyond those specified in the
pyproject.toml
file, to be installed when calling the build_wheel
or
prepare_metadata_for_build_wheel
hooks.
Example:
def get_requires_for_build_wheel(config_settings):
return ["wheel >= 0.25", "setuptools"]
If not defined, the default implementation is equivalent to return []
.
prepare_metadata_for_build_wheel
def prepare_metadata_for_build_wheel(metadata_directory, config_settings=None):
...
Must create a .dist-info
directory containing wheel metadata
inside the specified metadata_directory
(i.e., creates a directory
like {metadata_directory}/{package}-{version}.dist-info/
). This
directory MUST be a valid .dist-info
directory as defined in the
wheel specification, except that it need not contain RECORD
or
signatures. The hook MAY also create other files inside this
directory, and a build frontend MUST preserve, but otherwise ignore, such files;
the intention
here is that in cases where the metadata depends on build-time
decisions, the build backend may need to record these decisions in
some convenient format for re-use by the actual wheel-building step.
This must return the basename (not the full path) of the .dist-info
directory it creates, as a unicode string.
If a build frontend needs this information and the method is
not defined, it should call build_wheel
and look at the resulting
metadata directly.
get_requires_for_build_sdist
def get_requires_for_build_sdist(config_settings=None):
...
This hook MUST return an additional list of strings containing PEP 508
dependency specifications, above and beyond those specified in the
pyproject.toml
file. These dependencies will be installed when calling the
build_sdist
hook.
If not defined, the default implementation is equivalent to return []
.
注解
Editable installs
This PEP originally specified another hook, install_editable
, to do an
editable install (as with pip install -e
). It was removed due to the
complexity of the topic, but may be specified in a later PEP.
Briefly, the questions to be answered include: what reasonable ways existing of implementing an ‘editable install’? Should the backend or the frontend pick how to make an editable install? And if the frontend does, what does it need from the backend to do so.
Config settings
config_settings
This argument, which is passed to all hooks, is an arbitrary
dictionary provided as an “escape hatch” for users to pass ad-hoc
configuration into individual package builds. Build backends MAY
assign any semantics they like to this dictionary. Build frontends
SHOULD provide some mechanism for users to specify arbitrary
string-key/string-value pairs to be placed in this dictionary. For
example, they might support some syntax like --package-config
CC=gcc
. Build frontends MAY also provide arbitrary other mechanisms
for users to place entries in this dictionary. For example, pip
might choose to map a mix of modern and legacy command line arguments
like:
pip install \
--package-config CC=gcc \
--global-option="--some-global-option" \
--build-option="--build-option1" \
--build-option="--build-option2"
into a config_settings
dictionary like:
{
"CC": "gcc",
"--global-option": ["--some-global-option"],
"--build-option": ["--build-option1", "--build-option2"],
}
Of course, it’s up to users to make sure that they pass options which make sense for the particular build backend and package that they are building.
The hooks may be called with positional or keyword arguments, so backends implementing them should be careful to make sure that their signatures match both the order and the names of the arguments above.
All hooks are run with working directory set to the root of the source tree, and MAY print arbitrary informational text on stdout and stderr. They MUST NOT read from stdin, and the build frontend MAY close stdin before invoking the hooks.
The build frontend may capture stdout and/or stderr from the backend. If the
backend detects that an output stream is not a terminal/console (e.g.
not sys.stdout.isatty()
), it SHOULD ensure that any output it writes to that
stream is UTF-8 encoded. The build frontend MUST NOT fail if captured output is
not valid UTF-8, but it MAY not preserve all the information in that case (e.g.
it may decode using the replace error handler in Python). If the output stream
is a terminal, the build backend is responsible for presenting its output
accurately, as for any program running in a terminal.
If a hook raises an exception, or causes the process to terminate, then this indicates an error.
Build environment
One of the responsibilities of a build frontend is to set up the Python environment in which the build backend will run.
We do not require that any particular “virtual environment” mechanism be used; a build frontend might use virtualenv, or venv, or no special mechanism at all. But whatever mechanism is used MUST meet the following criteria:
- All requirements specified by the project’s build-requirements must
be available for import from Python. In particular:
- The
get_requires_for_build_wheel
andget_requires_for_build_sdist
hooks are executed in an environment which contains the bootstrap requirements specified in thepyproject.toml
file. - The
prepare_metadata_for_build_wheel
andbuild_wheel
hooks are executed in an environment which contains the bootstrap requirements frompyproject.toml
and those specified by theget_requires_for_build_wheel
hook. - The
build_sdist
hook is executed in an environment which contains the bootstrap requirements frompyproject.toml
and those specified by theget_requires_for_build_sdist
hook.
- The
- This must remain true even for new Python subprocesses spawned by
the build environment, e.g. code like:
import sys, subprocess subprocess.check_call([sys.executable, ...])
must spawn a Python process which has access to all the project’s build-requirements. This is necessary e.g. for build backends that want to run legacy
setup.py
scripts in a subprocess. - All command-line scripts provided by the build-required packages
must be present in the build environment’s PATH. For example, if a
project declares a build-requirement on flit, then the following must
work as a mechanism for running the flit command-line tool:
import subprocess import shutil subprocess.check_call([shutil.which("flit"), ...])
A build backend MUST be prepared to function in any environment which meets the above criteria. In particular, it MUST NOT assume that it has access to any packages except those that are present in the stdlib, or that are explicitly declared as build-requirements.
Frontends should call each hook in a fresh subprocess, so that backends are free to change process global state (such as environment variables or the working directory). A Python library will be provided which frontends can use to easily call hooks this way.
Recommendations for build frontends (non-normative)
A build frontend MAY use any mechanism for setting up a build environment that meets the above criteria. For example, simply installing all build-requirements into the global environment would be sufficient to build any compliant package – but this would be sub-optimal for a number of reasons. This section contains non-normative advice to frontend implementors.
A build frontend SHOULD, by default, create an isolated environment for each build, containing only the standard library and any explicitly requested build-dependencies. This has two benefits:
- It allows for a single installation run to build multiple packages
that have contradictory build-requirements. E.g. if package1
build-requires pbr==1.8.1, and package2 build-requires pbr==1.7.2,
then these cannot both be installed simultaneously into the global
environment – which is a problem when the user requests
pip install package1 package2
. Or if the user already has pbr==1.8.1 installed in their global environment, and a package build-requires pbr==1.7.2, then downgrading the user’s version would be rather rude. - It acts as a kind of public health measure to maximize the number of packages that actually do declare accurate build-dependencies. We can write all the strongly worded admonitions to package authors we want, but if build frontends don’t enforce isolation by default, then we’ll inevitably end up with lots of packages on PyPI that build fine on the original author’s machine and nowhere else, which is a headache that no-one needs.
However, there will also be situations where build-requirements are
problematic in various ways. For example, a package author might
accidentally leave off some crucial requirement despite our best
efforts; or, a package might declare a build-requirement on foo >=
1.0
which worked great when 1.0 was the latest version, but now 1.1
is out and it has a showstopper bug; or, the user might decide to
build a package against numpy==1.7 – overriding the package’s
preferred numpy==1.8 – to guarantee that the resulting build will be
compatible at the C ABI level with an older version of numpy (even if
this means the resulting build is unsupported upstream). Therefore,
build frontends SHOULD provide some mechanism for users to override
the above defaults. For example, a build frontend could have a
--build-with-system-site-packages
option that causes the
--system-site-packages
option to be passed to
virtualenv-or-equivalent when creating build environments, or a
--build-requirements-override=my-requirements.txt
option that
overrides the project’s normal build-requirements.
The general principle here is that we want to enforce hygiene on package authors, while still allowing end-users to open up the hood and apply duct tape when necessary.
In-tree build backends
In certain circumstances, projects may wish to include the source code for the
build backend directly in the source tree, rather than referencing the backend
via the requires
key. Two specific situations where this would be expected
are:
- Backends themselves, which want to use their own features for building themselves (“self-hosting backends”)
- Project-specific backends, typically consisting of a custom wrapper around a standard backend, where the wrapper is too project-specific to be worth distributing independently (“in-tree backends”)
Projects can specify that their backend code is hosted in-tree by including the
backend-path
key in pyproject.toml
. This key contains a list of
directories, which the frontend will add to the start of sys.path
when
loading the backend, and running the backend hooks.
There are two restrictions on the content of the backend-path
key:
- Directories in
backend-path
are interpreted as relative to the project root, and MUST refer to a location within the source tree (after relative paths and symbolic links have been resolved). - The backend code MUST be loaded from one of the directories specified in
backend-path
(i.e., it is not permitted to specifybackend-path
and not have in-tree backend code).
The first restriction is to ensure that source trees remain self-contained, and cannot refer to locations outside of the source tree. Frontends SHOULD check this condition (typically by resolving the location to an absolute path and resolving symbolic links, and then checking it against the project root), and fail with an error message if it is violated.
The backend-path
feature is intended to support the implementation of
in-tree backends, and not to allow configuration of existing backends. The
second restriction above is specifically to ensure that this is how the feature
is used. Front ends MAY enforce this check, but are not required to. Doing so
would typically involve checking the backend’s __file__
attribute against
the locations in backend-path
.
Source distributions
We continue with the legacy sdist format, adding some new restrictions.
This format is mostly
undefined, but basically comes down to: a file named
{NAME}-{VERSION}.{EXT}
, which unpacks into a buildable source tree
called {NAME}-{VERSION}/
. Traditionally these have always
contained setup.py
-style source trees; we now allow them to also
contain pyproject.toml
-style source trees.
Integration frontends require that an sdist named
{NAME}-{VERSION}.{EXT}
will generate a wheel named
{NAME}-{VERSION}-{COMPAT-INFO}.whl
.
The new restrictions for sdists built by PEP 517 backends are:
- They will be gzipped tar archives, with the
.tar.gz
extension. Zip archives, or other compression formats for tarballs, are not allowed at present. - Tar archives must be created in the modern POSIX.1-2001 pax tar format, which uses UTF-8 for file names.
- The source tree contained in an sdist is expected to include the
pyproject.toml
file.
Evolutionary notes
A goal here is to make it as simple as possible to convert old-style
sdists to new-style sdists. (E.g., this is one motivation for
supporting dynamic build requirements.) The ideal would be that there
would be a single static pyproject.toml
that could be dropped into any
“version 0” VCS checkout to convert it to the new shiny. This is
probably not 100% possible, but we can get close, and it’s important
to keep track of how close we are… hence this section.
A rough plan would be: Create a build system package
(setuptools_pypackage
or whatever) that knows how to speak
whatever hook language we come up with, and convert them into calls to
setup.py
. This will probably require some sort of hooking or
monkeypatching to setuptools to provide a way to extract the
setup_requires=
argument when needed, and to provide a new version
of the sdist command that generates the new-style format. This all
seems doable and sufficient for a large proportion of packages (though
obviously we’ll want to prototype such a system before we finalize
anything here). (Alternatively, these changes could be made to
setuptools itself rather than going into a separate package.)
But there remain two obstacles that mean we probably won’t be able to automatically upgrade packages to the new format:
- There currently exist packages which insist on particular packages
being available in their environment before setup.py is
executed. This means that if we decide to execute build scripts in
an isolated virtualenv-like environment, then projects will need to
check whether they do this, and if so then when upgrading to the
new system they will have to start explicitly declaring these
dependencies (either via
setup_requires=
or via static declaration inpyproject.toml
). - There currently exist packages which do not declare consistent
metadata (e.g.
egg_info
andbdist_wheel
might get differentinstall_requires=
). When upgrading to the new system, projects will have to evaluate whether this applies to them, and if so they will need to stop doing that.
Rejected options
- We discussed making the wheel and sdist hooks build unpacked directories containing the same contents as their respective archives. In some cases this could avoid the need to pack and unpack an archive, but this seems like premature optimisation. It’s advantageous for tools to work with archives as the canonical interchange formats (especially for wheels, where the archive format is already standardised). Close control of archive creation is important for reproducible builds. And it’s not clear that tasks requiring an unpacked distribution will be more common than those requiring an archive.
- We considered an extra hook to copy files to a build directory before invoking
build_wheel
. Looking at existing build systems, we found that passing a build directory intobuild_wheel
made more sense for many tools than pre-emptively copying files into a build directory. - The idea of passing
build_wheel
a build directory was then also deemed an unnecessary complication. Build tools can use a temporary directory or a cache directory to store intermediate files while building. If there is a need, a frontend-controlled cache directory could be added in the future. - For
build_sdist
to signal a failure for an expected reason, various options were debated at great length, including raisingNotImplementedError
and returning eitherNotImplemented
orNone
. Please do not attempt to reopen this discussion without an extremely good reason, because we are quite tired of it. - Allowing the backend to be imported from files in the source tree would be
more consistent with the way Python imports often work. However, not allowing
this prevents confusing errors from clashing module names. The initial
version of this PEP did not provide a means to allow backends to be
imported from files within the source tree, but the
backend-path
key was added in the next revision to allow projects to opt into this behaviour if needed.
Summary of changes to PEP 517
The following changes were made to this PEP after the initial reference implementation was released in pip 19.0.
- Cycles in build requirements were explicitly prohibited.
- Support for in-tree backends and self-hosting of backends was added by
the introduction of the
backend-path
key in the[build-system]
table. - Clarified that the
setuptools.build_meta:__legacy__
PEP 517 backend is an acceptable alternative to directly invokingsetup.py
for source trees that don’t specifybuild-backend
explicitly.
Appendix A: Comparison to PEP 516
PEP 516 is a competing proposal to specify a build system interface, which has now been rejected in favour of this PEP. The primary difference is that our build backend is defined via a Python hook-based interface rather than a command-line based interface.
This appendix documents the arguments advanced for this PEP over PEP 516.
We do not expect that specifying Python hooks rather than command line
interfaces will, by itself, reduce the
complexity of calling into the backend, because build frontends will
in any case want to run hooks inside a child – this is important to
isolate the build frontend itself from the backend code and to better
control the build backends execution environment. So under both
proposals, there will need to be some code in pip
to spawn a
subprocess and talk to some kind of command-line/IPC interface, and
there will need to be some code in the subprocess that knows how to
parse these command line arguments and call the actual build backend
implementation. So this diagram applies to all proposals equally:
+-----------+ +---------------+ +----------------+
| frontend | -spawn-> | child cmdline | -Python-> | backend |
| (pip) | | interface | | implementation |
+-----------+ +---------------+ +----------------+
The key difference between the two approaches is how these interface boundaries map onto project structure:
.-= This PEP =-.
+-----------+ +---------------+ | +----------------+
| frontend | -spawn-> | child cmdline | -Python-> | backend |
| (pip) | | interface | | | implementation |
+-----------+ +---------------+ | +----------------+
|
|______________________________________| |
Owned by pip, updated in lockstep |
|
|
PEP-defined interface boundary
Changes here require distutils-sig
.-= Alternative =-.
+-----------+ | +---------------+ +----------------+
| frontend | -spawn-> | child cmdline | -Python-> | backend |
| (pip) | | | interface | | implementation |
+-----------+ | +---------------+ +----------------+
|
| |____________________________________________|
| Owned by build backend, updated in lockstep
|
PEP-defined interface boundary
Changes here require distutils-sig
By moving the PEP-defined interface boundary into Python code, we gain three key advantages.
First, because there will likely be only a small number of build
frontends (pip
, and… maybe a few others?), while there will
likely be a long tail of custom build backends (since these are chosen
separately by each package to match their particular build
requirements), the actual diagrams probably look more like:
.-= This PEP =-.
+-----------+ +---------------+ +----------------+
| frontend | -spawn-> | child cmdline | -Python+> | backend |
| (pip) | | interface | | | implementation |
+-----------+ +---------------+ | +----------------+
|
| +----------------+
+> | backend |
| | implementation |
| +----------------+
:
:
.-= Alternative =-.
+-----------+ +---------------+ +----------------+
| frontend | -spawn+> | child cmdline | -Python-> | backend |
| (pip) | | | interface | | implementation |
+-----------+ | +---------------+ +----------------+
|
| +---------------+ +----------------+
+> | child cmdline | -Python-> | backend |
| | interface | | implementation |
| +---------------+ +----------------+
:
:
That is, this PEP leads to less total code in the overall ecosystem. And in particular, it reduces the barrier to entry of making a new build system. For example, this is a complete, working build backend:
# mypackage_custom_build_backend.py
import os.path
import pathlib
import shutil
SDIST_NAME = "mypackage-0.1"
SDIST_FILENAME = SDIST_NAME + ".tar.gz"
WHEEL_FILENAME = "mypackage-0.1-py2.py3-none-any.whl"
#################
# sdist creation
#################
def _exclude_hidden_and_special_files(archive_entry):
"""Tarfile filter to exclude hidden and special files from the archive"""
if archive_entry.isfile() or archive_entry.isdir():
if not os.path.basename(archive_entry.name).startswith("."):
return archive_entry
def _make_sdist(sdist_dir):
"""Make an sdist and return both the Python object and its filename"""
sdist_path = pathlib.Path(sdist_dir) / SDIST_FILENAME
sdist = tarfile.open(sdist_path, "w:gz", format=tarfile.PAX_FORMAT)
# Tar up the whole directory, minus hidden and special files
sdist.add(os.getcwd(), arcname=SDIST_NAME,
filter=_exclude_hidden_and_special_files)
return sdist, SDIST_FILENAME
def build_sdist(sdist_dir, config_settings):
"""PEP 517 sdist creation hook"""
sdist, sdist_filename = _make_sdist(sdist_dir)
return sdist_filename
#################
# wheel creation
#################
def get_requires_for_build_wheel(config_settings):
"""PEP 517 wheel building dependency definition hook"""
# As a simple static requirement, this could also just be
# listed in the project's build system dependencies instead
return ["wheel"]
def build_wheel(wheel_directory,
metadata_directory=None, config_settings=None):
"""PEP 517 wheel creation hook"""
from wheel.archive import archive_wheelfile
path = os.path.join(wheel_directory, WHEEL_FILENAME)
archive_wheelfile(path, "src/")
return WHEEL_FILENAME
Of course, this is a terrible build backend: it requires the user to
have manually set up the wheel metadata in
src/mypackage-0.1.dist-info/
; when the version number changes it
must be manually updated in multiple places… but it works, and more features
could be added incrementally. Much experience suggests that large successful
projects often originate as quick hacks (e.g., Linux – “just a hobby,
won’t be big and professional”; IPython/Jupyter – a grad
student’s $PYTHONSTARTUP file),
so if our goal is to encourage the growth of a vibrant ecosystem of
good build tools, it’s important to minimize the barrier to entry.
Second, because Python provides a simpler yet richer structure for
describing interfaces, we remove unnecessary complexity from the
specification – and specifications are the worst place for
complexity, because changing specifications requires painful
consensus-building across many stakeholders. In the command-line
interface approach, we have to come up with ad hoc ways to map
multiple different kinds of inputs into a single linear command line
(e.g. how do we avoid collisions between user-specified configuration
arguments and PEP-defined arguments? how do we specify optional
arguments? when working with a Python interface these questions have
simple, obvious answers). When spawning and managing subprocesses,
there are many fiddly details that must be gotten right, subtle
cross-platform differences, and some of the most obvious approaches –
e.g., using stdout to return data for the build_requires
operation
– can create unexpected pitfalls (e.g., what happens when computing
the build requirements requires spawning some child processes, and
these children occasionally print an error message to stdout?
obviously a careful build backend author can avoid this problem, but
the most obvious way of defining a Python interface removes this
possibility entirely, because the hook return value is clearly
demarcated).
In general, the need to isolate build backends into their own process means that we can’t remove IPC complexity entirely – but by placing both sides of the IPC channel under the control of a single project, we make it much cheaper to fix bugs in the IPC interface than if fixing bugs requires coordinated agreement and coordinated changes across the ecosystem.
Third, and most crucially, the Python hook approach gives us much more powerful options for evolving this specification in the future.
For concreteness, imagine that next year we add a new
build_sdist_from_vcs
hook, which provides an alternative to the current
build_sdist
hook where the frontend is responsible for passing
version control tracking metadata to backends (including indicating when all
on disk files are tracked), rather than individual backends having to query that
information themselves. In order to manage the transition, we’d want it to be
possible for build frontends to transparently use build_sdist_from_vcs
when
available and fall back onto build_sdist
otherwise; and we’d want it to be
possible for build backends to define both methods, for compatibility
with both old and new build frontends.
Furthermore, our mechanism should also fulfill two more goals: (a) If
new versions of e.g. pip
and flit
are both updated to support
the new interface, then this should be sufficient for it to be used;
in particular, it should not be necessary for every project that
uses flit
to update its individual pyproject.toml
file. (b)
We do not want to have to spawn extra processes just to perform this
negotiation, because process spawns can easily become a bottleneck when
deploying large multi-package stacks on some platforms (Windows).
In the interface described here, all of these goals are easy to
achieve. Because pip
controls the code that runs inside the child
process, it can easily write it to do something like:
command, backend, args = parse_command_line_args(...)
if command == "build_sdist":
if hasattr(backend, "build_sdist_from_vcs"):
backend.build_sdist_from_vcs(...)
elif hasattr(backend, "build_sdist"):
backend.build_sdist(...)
else:
# error handling
In the alternative where the public interface boundary is placed at
the subprocess call, this is not possible – either we need to spawn
an extra process just to query what interfaces are supported (as was
included in an earlier draft of PEP 516, an alternative to this), or
else we give up on autonegotiation entirely (as in the current version
of that PEP), meaning that any changes in the interface will require
N individual packages to update their pyproject.toml
files before
any change can go live, and that any changes will necessarily be
restricted to new releases.
One specific consequence of this is that in this PEP, we’re able to
make the prepare_metadata_for_build_wheel
command optional. In our design,
this can be readily handled by build frontends, which can put code in
their subprocess runner like:
def dump_wheel_metadata(backend, working_dir):
"""Dumps wheel metadata to working directory.
Returns absolute path to resulting metadata directory
"""
if hasattr(backend, "prepare_metadata_for_build_wheel"):
subdir = backend.prepare_metadata_for_build_wheel(working_dir)
else:
wheel_fname = backend.build_wheel(working_dir)
already_built = os.path.join(working_dir, "ALREADY_BUILT_WHEEL")
with open(already_built, "w") as f:
f.write(wheel_fname)
subdir = unzip_metadata(os.path.join(working_dir, wheel_fname))
return os.path.join(working_dir, subdir)
def ensure_wheel_is_built(backend, output_dir, working_dir, metadata_dir):
"""Ensures built wheel is available in output directory
Returns absolute path to resulting wheel file
"""
already_built = os.path.join(working_dir, "ALREADY_BUILT_WHEEL")
if os.path.exists(already_built):
with open(already_built, "r") as f:
wheel_fname = f.read().strip()
working_path = os.path.join(working_dir, wheel_fname)
final_path = os.path.join(output_dir, wheel_fname)
os.rename(working_path, final_path)
os.remove(already_built)
else:
wheel_fname = backend.build_wheel(output_dir, metadata_dir=metadata_dir)
return os.path.join(output_dir, wheel_fname)
and thus expose a totally uniform interface to the rest of the frontend, with no extra subprocess calls, no duplicated builds, etc. But obviously this is the kind of code that you only want to write as part of a private, within-project interface (e.g. the given example requires that the working directory be shared between the two calls, but not with any other wheel builds, and that the return value from the metadata helper function will be passed back in to the wheel building one).
(And, of course, making the metadata
command optional is one piece
of lowering the barrier to entry for developing new backends, as discussed
above.)
Other differences
Besides the key command line versus Python hook difference described above, there are a few other differences in this proposal:
- Metadata command is optional (as described above).
- We return metadata as a directory, rather than a single METADATA file. This aligns better with the way that in practice wheel metadata is distributed across multiple files (e.g. entry points), and gives us more options in the future. (For example, instead of following the PEP 426 proposal of switching the format of METADATA to JSON, we might decide to keep the existing METADATA the way it is for backcompat, while adding new extensions as JSON “sidecar” files inside the same directory. Or maybe not; the point is it keeps our options more open.)
- We provide a mechanism for passing information between the metadata step and the wheel building step. I guess everyone probably will agree this is a good idea?
- We provide more detailed recommendations about the build environment, but these aren’t normative anyway.
Copyright
This document has been placed in the public domain.
Source: https://github.com/python/peps/blob/master/pep-0517.txt
Last modified: 2021-06-30 19:51:34 GMT