Commit cca3e01b authored by Jason R. Coombs's avatar Jason R. Coombs Committed by GitHub

Merge pull request #2397 from pypa/feature/2093-docs-revamp

Apply docs revamp
parents 662816b6 8cca69b8
doc: simplify index and group deprecated files
doc overhaul step 2: break main doc into multiple sections
\ No newline at end of file
doc overhaul step 3: update userguide
"Eggsecutable" Scripts
----------------------
.. deprecated:: 45.3.0
Occasionally, there are situations where it's desirable to make an ``.egg``
file directly executable. You can do this by including an entry point such
as the following::
setup(
# other arguments here...
entry_points={
"setuptools.installation": [
"eggsecutable = my_package.some_module:main_func",
]
}
)
Any eggs built from the above setup script will include a short executable
prelude that imports and calls ``main_func()`` from ``my_package.some_module``.
The prelude can be run on Unix-like platforms (including Mac and Linux) by
invoking the egg with ``/bin/sh``, or by enabling execute permissions on the
``.egg`` file. For the executable prelude to run, the appropriate version of
Python must be available via the ``PATH`` environment variable, under its
"long" name. That is, if the egg is built for Python 2.3, there must be a
``python2.3`` executable present in a directory on ``PATH``.
IMPORTANT NOTE: Eggs with an "eggsecutable" header cannot be renamed, or
invoked via symlinks. They *must* be invoked using their original filename, in
order to ensure that, once running, ``pkg_resources`` will know what project
and version is in use. The header script will check this and exit with an
error if the ``.egg`` file has been renamed or is invoked via a symlink that
changes its base name.
\ No newline at end of file
======================================================
Guides on backward compatibility & deprecated practice
======================================================
``Setuptools`` has undergone tremendous changes since its first debut. As its
development continues to roll forward, many of the practice and mechanisms it
had established are now considered deprecated. But they still remain relevant
as a plethora of libraries continue to depend on them. Many people also find
it necessary to equip themselves with the knowledge to better support backward
compatibility. This guide aims to provide the essential information for such
objectives.
.. toctree::
:maxdepth: 1
python3
python_eggs
easy_install
distutils-legacy
......@@ -7,13 +7,8 @@ designed to facilitate packaging Python projects.
Documentation content:
.. toctree::
:maxdepth: 2
:maxdepth: 1
setuptools
pkg_resources
python3
development
roadmap
Deprecated: Easy Install <easy_install>
distutils-legacy
history
User guide <userguide/index>
Development guide <development>
Backward compatibility & deprecated practice <deprecated/index>
This source diff could not be displayed because it is too large. You can view the blob instead.
This diff is collapsed.
====================
Data Files Support
====================
The distutils have traditionally allowed installation of "data files", which
are placed in a platform-specific location. However, the most common use case
for data files distributed with a package is for use *by* the package, usually
by including the data files in the package directory.
Setuptools offers three ways to specify data files to be included in your
packages. First, you can simply use the ``include_package_data`` keyword,
e.g.::
from setuptools import setup, find_packages
setup(
...
include_package_data=True
)
This tells setuptools to install any data files it finds in your packages.
The data files must be specified via the distutils' ``MANIFEST.in`` file.
(They can also be tracked by a revision control system, using an appropriate
plugin. See the section below on `Adding Support for Revision Control
Systems`_ for information on how to write such plugins.)
If you want finer-grained control over what files are included (for example,
if you have documentation files in your package directories and want to exclude
them from installation), then you can also use the ``package_data`` keyword,
e.g.::
from setuptools import setup, find_packages
setup(
...
package_data={
# If any package contains *.txt or *.rst files, include them:
"": ["*.txt", "*.rst"],
# And include any *.msg files found in the "hello" package, too:
"hello": ["*.msg"],
}
)
The ``package_data`` argument is a dictionary that maps from package names to
lists of glob patterns. The globs may include subdirectory names, if the data
files are contained in a subdirectory of the package. For example, if the
package tree looks like this::
setup.py
src/
mypkg/
__init__.py
mypkg.txt
data/
somefile.dat
otherdata.dat
The setuptools setup file might look like this::
from setuptools import setup, find_packages
setup(
...
packages=find_packages("src"), # include all packages under src
package_dir={"": "src"}, # tell distutils packages are under src
package_data={
# If any package contains *.txt files, include them:
"": ["*.txt"],
# And include any *.dat files found in the "data" subdirectory
# of the "mypkg" package, also:
"mypkg": ["data/*.dat"],
}
)
Notice that if you list patterns in ``package_data`` under the empty string,
these patterns are used to find files in every package, even ones that also
have their own patterns listed. Thus, in the above example, the ``mypkg.txt``
file gets included even though it's not listed in the patterns for ``mypkg``.
Also notice that if you use paths, you *must* use a forward slash (``/``) as
the path separator, even if you are on Windows. Setuptools automatically
converts slashes to appropriate platform-specific separators at build time.
If datafiles are contained in a subdirectory of a package that isn't a package
itself (no ``__init__.py``), then the subdirectory names (or ``*``) are required
in the ``package_data`` argument (as shown above with ``"data/*.dat"``).
When building an ``sdist``, the datafiles are also drawn from the
``package_name.egg-info/SOURCES.txt`` file, so make sure that this is removed if
the ``setup.py`` ``package_data`` list is updated before calling ``setup.py``.
(Note: although the ``package_data`` argument was previously only available in
``setuptools``, it was also added to the Python ``distutils`` package as of
Python 2.4; there is `some documentation for the feature`__ available on the
python.org website. If using the setuptools-specific ``include_package_data``
argument, files specified by ``package_data`` will *not* be automatically
added to the manifest unless they are listed in the MANIFEST.in file.)
__ https://docs.python.org/3/distutils/setupscript.html#installing-package-data
Sometimes, the ``include_package_data`` or ``package_data`` options alone
aren't sufficient to precisely define what files you want included. For
example, you may want to include package README files in your revision control
system and source distributions, but exclude them from being installed. So,
setuptools offers an ``exclude_package_data`` option as well, that allows you
to do things like this::
from setuptools import setup, find_packages
setup(
...
packages=find_packages("src"), # include all packages under src
package_dir={"": "src"}, # tell distutils packages are under src
include_package_data=True, # include everything in source control
# ...but exclude README.txt from all packages
exclude_package_data={"": ["README.txt"]},
)
The ``exclude_package_data`` option is a dictionary mapping package names to
lists of wildcard patterns, just like the ``package_data`` option. And, just
as with that option, a key of ``""`` will apply the given pattern(s) to all
packages. However, any files that match these patterns will be *excluded*
from installation, even if they were listed in ``package_data`` or were
included as a result of using ``include_package_data``.
In summary, the three options allow you to:
``include_package_data``
Accept all data files and directories matched by ``MANIFEST.in``.
``package_data``
Specify additional patterns to match files that may or may
not be matched by ``MANIFEST.in`` or found in source control.
``exclude_package_data``
Specify patterns for data files and directories that should *not* be
included when a package is installed, even if they would otherwise have
been included due to the use of the preceding options.
NOTE: Due to the way the distutils build process works, a data file that you
include in your project and then stop including may be "orphaned" in your
project's build directories, requiring you to run ``setup.py clean --all`` to
fully remove them. This may also be important for your users and contributors
if they track intermediate revisions of your project using Subversion; be sure
to let them know when you make changes that remove files from inclusion so they
can run ``setup.py clean --all``.
Accessing Data Files at Runtime
-------------------------------
Typically, existing programs manipulate a package's ``__file__`` attribute in
order to find the location of data files. However, this manipulation isn't
compatible with PEP 302-based import hooks, including importing from zip files
and Python Eggs. It is strongly recommended that, if you are using data files,
you should use the :ref:`ResourceManager API` of ``pkg_resources`` to access
them. The ``pkg_resources`` module is distributed as part of setuptools, so if
you're using setuptools to distribute your package, there is no reason not to
use its resource management API. See also `Importlib Resources`_ for
a quick example of converting code that uses ``__file__`` to use
``pkg_resources`` instead.
.. _Importlib Resources: https://docs.python.org/3/library/importlib.html#module-importlib.resources
Non-Package Data Files
----------------------
Historically, ``setuptools`` by way of ``easy_install`` would encapsulate data
files from the distribution into the egg (see `the old docs
<https://github.com/pypa/setuptools/blob/52aacd5b276fedd6849c3a648a0014f5da563e93/docs/setuptools.txt#L970-L1001>`_). As eggs are deprecated and pip-based installs
fall back to the platform-specific location for installing data files, there is
no supported facility to reliably retrieve these resources.
Instead, the PyPA recommends that any data files you wish to be accessible at
run time be included in the package.
\ No newline at end of file
-----------------------------------------
Configuring setup() using setup.cfg files
-----------------------------------------
.. note:: New in 30.3.0 (8 Dec 2016).
.. important::
If compatibility with legacy builds (i.e. those not using the :pep:`517`
build API) is desired, a ``setup.py`` file containing a ``setup()`` function
call is still required even if your configuration resides in ``setup.cfg``.
``Setuptools`` allows using configuration files (usually :file:`setup.cfg`)
to define a package’s metadata and other options that are normally supplied
to the ``setup()`` function (declarative config).
This approach not only allows automation scenarios but also reduces
boilerplate code in some cases.
.. note::
This implementation has limited compatibility with the distutils2-like
``setup.cfg`` sections used by the ``pbr`` and ``d2to1`` packages.
Namely: only metadata-related keys from ``metadata`` section are supported
(except for ``description-file``); keys from ``files``, ``entry_points``
and ``backwards_compat`` are not supported.
.. code-block:: ini
[metadata]
name = my_package
version = attr: src.VERSION
description = My package description
long_description = file: README.rst, CHANGELOG.rst, LICENSE.rst
keywords = one, two
license = BSD 3-Clause License
classifiers =
Framework :: Django
License :: OSI Approved :: BSD License
Programming Language :: Python :: 3
Programming Language :: Python :: 3.5
[options]
zip_safe = False
include_package_data = True
packages = find:
scripts =
bin/first.py
bin/second.py
install_requires =
requests
importlib; python_version == "2.6"
[options.package_data]
* = *.txt, *.rst
hello = *.msg
[options.extras_require]
pdf = ReportLab>=1.2; RXP
rest = docutils>=0.3; pack ==1.1, ==1.3
[options.packages.find]
exclude =
src.subpackage1
src.subpackage2
[options.data_files]
/etc/my_package =
site.d/00_default.conf
host.d/00_default.conf
data = data/img/logo.png, data/svg/icon.svg
Metadata and options are set in the config sections of the same name.
* Keys are the same as the keyword arguments one provides to the ``setup()``
function.
* Complex values can be written comma-separated or placed one per line
in *dangling* config values. The following are equivalent:
.. code-block:: ini
[metadata]
keywords = one, two
[metadata]
keywords =
one
two
* In some cases, complex values can be provided in dedicated subsections for
clarity.
* Some keys allow ``file:``, ``attr:``, ``find:``, and ``find_namespace:`` directives in
order to cover common usecases.
* Unknown keys are ignored.
Using a ``src/`` layout
=======================
One commonly used package configuration has all the module source code in a
subdirectory (often called the ``src/`` layout), like this::
├── src
│   └── mypackage
│   ├── __init__.py
│   └── mod1.py
├── setup.py
└── setup.cfg
You can set up your ``setup.cfg`` to automatically find all your packages in
the subdirectory like this:
.. code-block:: ini
# This example contains just the necessary options for a src-layout, set up
# the rest of the file as described above.
[options]
package_dir=
=src
packages=find:
[options.packages.find]
where=src
Specifying values
=================
Some values are treated as simple strings, some allow more logic.
Type names used below:
* ``str`` - simple string
* ``list-comma`` - dangling list or string of comma-separated values
* ``list-semi`` - dangling list or string of semicolon-separated values
* ``bool`` - ``True`` is 1, yes, true
* ``dict`` - list-comma where keys are separated from values by ``=``
* ``section`` - values are read from a dedicated (sub)section
Special directives:
* ``attr:`` - Value is read from a module attribute. ``attr:`` supports
callables and iterables; unsupported types are cast using ``str()``.
In order to support the common case of a literal value assigned to a variable
in a module containing (directly or indirectly) third-party imports,
``attr:`` first tries to read the value from the module by examining the
module's AST. If that fails, ``attr:`` falls back to importing the module.
* ``file:`` - Value is read from a list of files and then concatenated
.. note::
The ``file:`` directive is sandboxed and won't reach anything outside
the directory containing ``setup.py``.
Metadata
--------
.. note::
The aliases given below are supported for compatibility reasons,
but their use is not advised.
============================== ================= ================= =============== =====
Key Aliases Type Minimum Version Notes
============================== ================= ================= =============== =====
name str
version attr:, file:, str 39.2.0 (1)
url home-page str
download_url download-url str
project_urls dict 38.3.0
author str
author_email author-email str
maintainer str
maintainer_email maintainer-email str
classifiers classifier file:, list-comma
license str
license_file str
license_files list-comma
description summary file:, str
long_description long-description file:, str
long_description_content_type str 38.6.0
keywords list-comma
platforms platform list-comma
provides list-comma
requires list-comma
obsoletes list-comma
============================== ================= ================= =============== =====
.. note::
A version loaded using the ``file:`` directive must comply with PEP 440.
It is easy to accidentally put something other than a valid version
string in such a file, so validation is stricter in this case.
Notes:
1. The `version` file attribute has only been supported since 39.2.0.
Options
-------
======================= =================================== =============== =====
Key Type Minimum Version Notes
======================= =================================== =============== =====
zip_safe bool
setup_requires list-semi
install_requires list-semi
extras_require section
python_requires str
entry_points file:, section
use_2to3 bool
use_2to3_fixers list-comma
use_2to3_exclude_fixers list-comma
convert_2to3_doctests list-comma
scripts list-comma
eager_resources list-comma
dependency_links list-comma
tests_require list-semi
include_package_data bool
packages find:, find_namespace:, list-comma
package_dir dict
package_data section (1)
exclude_package_data section
namespace_packages list-comma
py_modules list-comma
data_files dict 40.6.0
======================= =================================== =============== =====
.. note::
**packages** - The ``find:`` and ``find_namespace:`` directive can be further configured
in a dedicated subsection ``options.packages.find``. This subsection
accepts the same keys as the `setuptools.find_packages` and the
`setuptools.find_namespace_packages` function:
``where``, ``include``, and ``exclude``.
**find_namespace directive** - The ``find_namespace:`` directive is supported since Python >=3.3.
Notes:
1. In the `package_data` section, a key named with a single asterisk (`*`)
refers to all packages, in lieu of the empty string used in `setup.py`.
=====================================
Dependencies Management in Setuptools
=====================================
There are three types of dependency styles offered by setuptools:
1) build system requirement, required dependency and 3) optional
dependency.
.. Note::
Packages that are added to dependency can be optionally specified with the
version by following `PEP 440 <https://www.python.org/dev/peps/pep-0440/>`_
.. contents::
Build system requirement
========================
Package requirement
-------------------
After organizing all the scripts and files and getting ready for packaging,
there needs to be a way to tell Python what programs it need to actually
do the packgaging (in our case, ``setuptools`` of course). Usually,
you also need the ``wheel`` package as well since it is recommended that you
upload a ``.whl`` file to PyPI alongside your ``.tar.gz`` file. Unlike the
other two types of dependency keyword, this one is specified in your
``pyproject.toml`` file (if you have forgot what this is, go to
:ref:`quickstart` or (WIP)):
.. code-block:: ini
[build-system]
requires = ["setuptools", "wheel"]
#...
.. note::
This used to be accomplished with the ``setup_requires`` keyword but is
now considered deprecated in favor of the PEP 517 style described above.
To peek into how this legacy keyword is used, consult our :ref:`guide on
deprecated practice (WIP)`
Declaring required dependency
=============================
This is where a package declares its core dependencies, without which it won't
be able to run. ``setuptools`` support automatically download and install
these dependencies when the package is installed. Although there is more
finess to it, let's start with a simple example.
.. code-block:: ini
[options]
#...
install_requires =
docutils
BazSpam ==1.1
.. code-block:: python
setup(
#...,
install_requires = [
'docutils',
'BazSpam ==1.1'
]
)
When your project is installed (e.g. using pip), all of the dependencies not
already installed will be located (via PyPI), downloaded, built (if necessary),
and installed and 2) Any scripts in your project will be installed with wrappers
that verify the availability of the specified dependencies at runtime.
Platform specific dependencies
------------------------------
Setuptools offer the capability to evaluate certain conditions before blindly
installing everything listed in ``install_requires``. This is great for platform
specific dependencies. For example, the ``enum`` package was added in Python
3.4, therefore, package that depends on it can elect to install it only when
the Python version is older than 3.4. To accomplish this
.. code-block:: ini
[options]
#...
install_requires =
enum34;python_version<'3.4'
.. code-block:: python
setup(
#...
install_requires=[
"enum34;python_version<'3.4'",]
)
Similarly, if you also wish to declare ``pywin32`` with a minimal version of 1.0
and only install it if the user is using a Windows operating system:
.. code-block:: ini
[options]
#...
install_requires =
enum34;python_version<'3.4'
pywin32 >= 1.0;platform_system=='Windows'
.. code-block:: python
setup(
#...
install_requires=[
"enum34;python_version<'3.4'",
"pywin32 >= 1.0;platform_system=='Windows'"
]
)
The environmental markers that may be used for testing platform types are
detailed in `PEP 508 <https://www.python.org/dev/peps/pep-0508/>`_.
Dependencies that aren't in PyPI
--------------------------------
.. warning::
Dependency links support has been dropped by pip starting with version
19.0 (released 2019-01-22).
If your project depends on packages that don't exist on PyPI, you may still be
able to depend on them, as long as they are available for download as:
- an egg, in the standard distutils ``sdist`` format,
- a single ``.py`` file, or
- a VCS repository (Subversion, Mercurial, or Git).
You just need to add some URLs to the ``dependency_links`` argument to
``setup()``.
The URLs must be either:
1. direct download URLs,
2. the URLs of web pages that contain direct download links, or
3. the repository's URL
In general, it's better to link to web pages, because it is usually less
complex to update a web page than to release a new version of your project.
You can also use a SourceForge ``showfiles.php`` link in the case where a
package you depend on is distributed via SourceForge.
If you depend on a package that's distributed as a single ``.py`` file, you
must include an ``"#egg=project-version"`` suffix to the URL, to give a project
name and version number. (Be sure to escape any dashes in the name or version
by replacing them with underscores.) EasyInstall will recognize this suffix
and automatically create a trivial ``setup.py`` to wrap the single ``.py`` file
as an egg.
In the case of a VCS checkout, you should also append ``#egg=project-version``
in order to identify for what package that checkout should be used. You can
append ``@REV`` to the URL's path (before the fragment) to specify a revision.
Additionally, you can also force the VCS being used by prepending the URL with
a certain prefix. Currently available are:
- ``svn+URL`` for Subversion,
- ``git+URL`` for Git, and
- ``hg+URL`` for Mercurial
A more complete example would be:
``vcs+proto://host/path@revision#egg=project-version``
Be careful with the version. It should match the one inside the project files.
If you want to disregard the version, you have to omit it both in the
``requires`` and in the URL's fragment.
This will do a checkout (or a clone, in Git and Mercurial parlance) to a
temporary folder and run ``setup.py bdist_egg``.
The ``dependency_links`` option takes the form of a list of URL strings. For
example, this will cause a search of the specified page for eggs or source
distributions, if the package's dependencies aren't already installed:
.. code-block:: ini
[options]
#...
dependency_links = http://peak.telecommunity.com/snapshots/
.. code-block:: python
setup(
#...
dependency_links=[
"http://peak.telecommunity.com/snapshots/"
],
)
Optional dependencies
=====================
Setuptools allows you to declare dependencies that only get installed under
specific circumstances. These dependencies are specified with ``extras_require``
keyword and are only installed if another package depends on it (either
directly or indirectly) This makes it convenient to declare dependencies for
ancillary functions such as "tests" and "docs".
.. note::
``tests_require`` is now deprecated
For example, Package-A offers optional PDF support and requires two other
dependencies for it to work:
.. code-block:: ini
[metadata]
name = Package-A
[options.extras_require]
PDF = ReportLab>=1.2; RXP
.. code-block:: python
setup(
name="Project-A",
#...
extras_require={
"PDF": ["ReportLab>=1.2", "RXP"],
}
)
The name ``PDF`` is an arbitary identifier of such a list of dependencies, to
which other components can refer and have them installed. There are two common
use cases.
First is the console_scripts entry point:
.. code-block:: ini
[metadata]
name = Project A
#...
[options]
#...
entry_points=
[console_scripts]
rst2pdf = project_a.tools.pdfgen [PDF]
rst2html = project_a.tools.htmlgen
.. code-block:: python
setup(
name = "Project-A"
#...,
entry_points={
"console_scripts": [
"rst2pdf = project_a.tools.pdfgen [PDF]",
"rst2html = project_a.tools.htmlgen",
],
}
)
When the script ``rst2pdf`` is run, it will trigger the installation of
the two dependencies ``PDF`` maps to.
The second use case is that other package can use this "extra" for their
own dependencies. For example, if "Project-B" needs "project A" with PDF support
installed, it might declare the dependency like this::
.. code-block:: ini
[metadata]
name = Project-B
#...
[options]
#...
install_requires =
Project-A[PDF]
.. code-block:: python
setup(
name="Project-B",
install_requires=["Project-A[PDF]"],
...
)
This will cause ReportLab to be installed along with project A, if project B is
installed -- even if project A was already installed. In this way, a project
can encapsulate groups of optional "downstream dependencies" under a feature
name, so that packages that depend on it don't have to know what the downstream
dependencies are. If a later version of Project A builds in PDF support and
no longer needs ReportLab, or if it ends up needing other dependencies besides
ReportLab in order to provide PDF support, Project B's setup information does
not need to change, but the right packages will still be installed if needed.
.. note::
Best practice: if a project ends up not needing any other packages to
support a feature, it should keep an empty requirements list for that feature
in its ``extras_require`` argument, so that packages depending on that feature
don't break (due to an invalid feature name).
Python requirement
==================
In some cases, you might need to specify the minimum required python version.
This is handled with the ``python_requires`` keyword supplied to ``setup.cfg``
or ``setup.py``.
Example WIP
\ No newline at end of file
"Development Mode"
==================
Under normal circumstances, the ``distutils`` assume that you are going to
build a distribution of your project, not use it in its "raw" or "unbuilt"
form. If you were to use the ``distutils`` that way, you would have to rebuild
and reinstall your project every time you made a change to it during
development.
Another problem that sometimes comes up with the ``distutils`` is that you may
need to do development on two related projects at the same time. You may need
to put both projects' packages in the same directory to run them, but need to
keep them separate for revision control purposes. How can you do this?
Setuptools allows you to deploy your projects for use in a common directory or
staging area, but without copying any files. Thus, you can edit each project's
code in its checkout directory, and only need to run build commands when you
change a project's C extensions or similarly compiled files. You can even
deploy a project into another project's checkout directory, if that's your
preferred way of working (as opposed to using a common independent staging area
or the site-packages directory).
To do this, use the ``setup.py develop`` command. It works very similarly to
``setup.py install``, except that it doesn't actually install anything.
Instead, it creates a special ``.egg-link`` file in the deployment directory,
that links to your project's source code. And, if your deployment directory is
Python's ``site-packages`` directory, it will also update the
``easy-install.pth`` file to include your project's source code, thereby making
it available on ``sys.path`` for all programs using that Python installation.
If you have enabled the ``use_2to3`` flag, then of course the ``.egg-link``
will not link directly to your source code when run under Python 3, since
that source code would be made for Python 2 and not work under Python 3.
Instead the ``setup.py develop`` will build Python 3 code under the ``build``
directory, and link there. This means that after doing code changes you will
have to run ``setup.py build`` before these changes are picked up by your
Python 3 installation.
In addition, the ``develop`` command creates wrapper scripts in the target
script directory that will run your in-development scripts after ensuring that
all your ``install_requires`` packages are available on ``sys.path``.
You can deploy the same project to multiple staging areas, e.g. if you have
multiple projects on the same machine that are sharing the same project you're
doing development work.
When you're done with a given development task, you can remove the project
source from a staging area using ``setup.py develop --uninstall``, specifying
the desired staging area if it's not the default.
There are several options to control the precise behavior of the ``develop``
command; see the section on the `develop`_ command below for more details.
Note that you can also apply setuptools commands to non-setuptools projects,
using commands like this::
python -c "import setuptools; with open('setup.py') as f: exec(compile(f.read(), 'setup.py', 'exec'))" develop
That is, you can simply list the normal setup commands and options following
the quoted part.
\ No newline at end of file
This diff is collapsed.
.. _`entry_points`:
============
Entry Points
============
Packages may provide commands to be run at the console (console scripts),
such as the ``pip`` command. These commands are defined for a package
as a specific kind of entry point in the ``setup.cfg`` or
``setup.py``.
Console Scripts
===============
First consider an example without entry points. Imagine a package
defined thus::
.. code-block:: bash
timmins/
timmins/__init__.py
timmins/__main__.py
setup.cfg # or setup.py
#other necessary files
with ``__init__.py`` as:
.. code-block:: python
def helloworld():
print("Hello world")
and ``__main__.py`` providing a hook:
from . import hello_world
if __name__ == '__main__':
hello_world()
After installing the package, the function may be invoked through the
`runpy <https://docs.python.org/3/library/runpy.html>`_ module::
.. code-block:: bash
python -m timmins
Adding a console script entry point allows the package to define a
user-friendly name for installers of the package to execute. Installers
like pip will create wrapper scripts to execute a function. In the
above example, to create a command ``hello-world`` that invokes
``timmins.hello_world``, add a console script entry point to
``setup.cfg``::
.. code-block:: ini
[options.entry_points]
console_scripts =
hello-world = timmins:hello_world
After installing the package, a user may invoke that function by simply calling
``hello-world`` on the command line.
The syntax for entry points is specified as follows:
.. code-block::
<name> = [<package>.[<subpackage>.]]<module>[:<object>.<object>]
where ``name`` is the name for the script you want to create, the left hand
side of ``:`` is the module that contains your function and the right hand
side is the object you want to invoke (e.g. a function).
In addition to ``console_scripts``, Setuptools supports ``gui_scripts``, which
will launch a GUI application without running in a terminal window.
Advertising Behavior
====================
Console scripts are one use of the more general concept of entry points. Entry
points more generally allow a packager to advertise behavior for discovery by
other libraries and applications. This feature enables "plug-in"-like
functionality, where one library solicits entry points and any number of other
libraries provide those entry points.
A good example of this plug-in behavior can be seen in
`pytest plugins <https://docs.pytest.org/en/latest/writing_plugins.html>`_,
where pytest is a test framework that allows other libraries to extend
or modify its functionality through the ``pytest11`` entry point.
The console scripts work similarly, where libraries advertise their commands
and tools like ``pip`` create wrapper scripts that invoke those commands.
For a project wishing to solicit entry points, Setuptools recommends the
`importlib.metadata <https://docs.python.org/3/library/importlib.metadata.html>`_
module (part of stdlib since Python 3.8) or its backport,
`importlib_metadata <https://pypi.org/project/importlib_metadata>`_.
For example, to find the console script entry points from the example above::
.. code-block:: python
>>> from importlib import metadata
>>> eps = metadata.entry_points()['console_scripts']
``eps`` is now a list of ``EntryPoint`` objects, one of which corresponds
to the ``hello-world = timmins:hello_world`` defined above. Each ``EntryPoint``
contains the ``name``, ``group``, and ``value``. It also supplies a ``.load()``
method to import and load that entry point (module or object).
.. code-block:: ini
[options.entry_points]
my.plugins =
hello-world = timmins:hello_world
Then, a different project wishing to load 'my.plugins' plugins could run
the following routine to load (and invoke) such plugins::
.. code-block:: python
>>> from importlib import metadata
>>> eps = metadata.entry_points()['my.plugins']
>>> for ep in eps:
... plugin = ep.load()
... plugin()
The project soliciting the entry points needs not to have any dependency
or prior knowledge about the libraries implementing the entry points, and
downstream users are able to compose functionality by pulling together
libraries implementing the entry points.
Dependency Management
=====================
Some entry points may require additional dependencies to properly function.
For such an entry point, declare in square brakets any number of dependency
``extras`` following the entry point definition. Such entry points will only
be viable if their extras were declared and installed. See the
:ref:`guide on dependencies management <dependency_management>` for
more information on defining extra requirements. Consider from the
above example::
.. code-block:: ini
[options.entry_points]
console_scripts =
hello-world = timmins:hello_world [pretty-printer]
In this case, the ``hello-world`` script is only viable if the ``pretty-printer``
extra is indicated, and so a plugin host might exclude that entry point
(i.e. not install a console script) if the relevant extra dependencies are not
installed.
This diff is collapsed.
========================================================
Using setuptools to package and distribute your project
========================================================
``setuptools`` offers a variety of functionalities that make it easy to
build and distribute your python package. Here we provide an overview on
the commonly used ones.
==================================================
Building and Distributing Packages with Setuptools
==================================================
``Setuptools`` is a collection of enhancements to the Python ``distutils``
that allow developers to more easily build and
distribute Python packages, especially ones that have dependencies on other
packages.
Packages built and distributed using ``setuptools`` look to the user like
ordinary Python packages based on the ``distutils``.
.. toctree::
:maxdepth: 1
quickstart
package_discovery
entry_point
dependency_management
datafiles
development_mode
distribution
extension
declarative_config
keywords
commands
New and Changed ``setup()`` Keywords
====================================
The following keyword arguments to ``setup()`` are added or changed by
``setuptools``. All of them are optional; you do not have to supply them
unless you need the associated ``setuptools`` feature.
``include_package_data``
If set to ``True``, this tells ``setuptools`` to automatically include any
data files it finds inside your package directories that are specified by
your ``MANIFEST.in`` file. For more information, see the section below on
`Including Data Files`_.
``exclude_package_data``
A dictionary mapping package names to lists of glob patterns that should
be *excluded* from your package directories. You can use this to trim back
any excess files included by ``include_package_data``. For a complete
description and examples, see the section below on `Including Data Files`_.
``package_data``
A dictionary mapping package names to lists of glob patterns. For a
complete description and examples, see the section below on `Including
Data Files`_. You do not need to use this option if you are using
``include_package_data``, unless you need to add e.g. files that are
generated by your setup script and build process. (And are therefore not
in source control or are files that you don't want to include in your
source distribution.)
``zip_safe``
A boolean (True or False) flag specifying whether the project can be
safely installed and run from a zip file. If this argument is not
supplied, the ``bdist_egg`` command will have to analyze all of your
project's contents for possible problems each time it builds an egg.
``install_requires``
A string or list of strings specifying what other distributions need to
be installed when this one is. See the section below on `Declaring
Dependencies`_ for details and examples of the format of this argument.
``entry_points``
A dictionary mapping entry point group names to strings or lists of strings
defining the entry points. Entry points are used to support dynamic
discovery of services or plugins provided by a project. See `Dynamic
Discovery of Services and Plugins`_ for details and examples of the format
of this argument. In addition, this keyword is used to support `Automatic
Script Creation`_.
``extras_require``
A dictionary mapping names of "extras" (optional features of your project)
to strings or lists of strings specifying what other distributions must be
installed to support those features. See the section below on `Declaring
Dependencies`_ for details and examples of the format of this argument.
``python_requires``
A string corresponding to a version specifier (as defined in PEP 440) for
the Python version, used to specify the Requires-Python defined in PEP 345.
``setup_requires``
A string or list of strings specifying what other distributions need to
be present in order for the *setup script* to run. ``setuptools`` will
attempt to obtain these (using pip if available) before processing the
rest of the setup script or commands. This argument is needed if you
are using distutils extensions as part of your build process; for
example, extensions that process setup() arguments and turn them into
EGG-INFO metadata files.
(Note: projects listed in ``setup_requires`` will NOT be automatically
installed on the system where the setup script is being run. They are
simply downloaded to the ./.eggs directory if they're not locally available
already. If you want them to be installed, as well as being available
when the setup script is run, you should add them to ``install_requires``
**and** ``setup_requires``.)
``dependency_links``
A list of strings naming URLs to be searched when satisfying dependencies.
These links will be used if needed to install packages specified by
``setup_requires`` or ``tests_require``. They will also be written into
the egg's metadata for use during install by tools that support them.
``namespace_packages``
A list of strings naming the project's "namespace packages". A namespace
package is a package that may be split across multiple project
distributions. For example, Zope 3's ``zope`` package is a namespace
package, because subpackages like ``zope.interface`` and ``zope.publisher``
may be distributed separately. The egg runtime system can automatically
merge such subpackages into a single parent package at runtime, as long
as you declare them in each project that contains any subpackages of the
namespace package, and as long as the namespace package's ``__init__.py``
does not contain any code other than a namespace declaration. See the
section below on `Namespace Packages`_ for more information.
``test_suite``
A string naming a ``unittest.TestCase`` subclass (or a package or module
containing one or more of them, or a method of such a subclass), or naming
a function that can be called with no arguments and returns a
``unittest.TestSuite``. If the named suite is a module, and the module
has an ``additional_tests()`` function, it is called and the results are
added to the tests to be run. If the named suite is a package, any
submodules and subpackages are recursively added to the overall test suite.
Specifying this argument enables use of the `test`_ command to run the
specified test suite, e.g. via ``setup.py test``. See the section on the
`test`_ command below for more details.
New in 41.5.0: Deprecated the test command.
``tests_require``
If your project's tests need one or more additional packages besides those
needed to install it, you can use this option to specify them. It should
be a string or list of strings specifying what other distributions need to
be present for the package's tests to run. When you run the ``test``
command, ``setuptools`` will attempt to obtain these (using pip if
available). Note that these required projects will *not* be installed on
the system where the tests are run, but only downloaded to the project's setup
directory if they're not already installed locally.
New in 41.5.0: Deprecated the test command.
.. _test_loader:
``test_loader``
If you would like to use a different way of finding tests to run than what
setuptools normally uses, you can specify a module name and class name in
this argument. The named class must be instantiable with no arguments, and
its instances must support the ``loadTestsFromNames()`` method as defined
in the Python ``unittest`` module's ``TestLoader`` class. Setuptools will
pass only one test "name" in the `names` argument: the value supplied for
the ``test_suite`` argument. The loader you specify may interpret this
string in any way it likes, as there are no restrictions on what may be
contained in a ``test_suite`` string.
The module name and class name must be separated by a ``:``. The default
value of this argument is ``"setuptools.command.test:ScanningLoader"``. If
you want to use the default ``unittest`` behavior, you can specify
``"unittest:TestLoader"`` as your ``test_loader`` argument instead. This
will prevent automatic scanning of submodules and subpackages.
The module and class you specify here may be contained in another package,
as long as you use the ``tests_require`` option to ensure that the package
containing the loader class is available when the ``test`` command is run.
New in 41.5.0: Deprecated the test command.
``eager_resources``
A list of strings naming resources that should be extracted together, if
any of them is needed, or if any C extensions included in the project are
imported. This argument is only useful if the project will be installed as
a zipfile, and there is a need to have all of the listed resources be
extracted to the filesystem *as a unit*. Resources listed here
should be "/"-separated paths, relative to the source root, so to list a
resource ``foo.png`` in package ``bar.baz``, you would include the string
``bar/baz/foo.png`` in this argument.
If you only need to obtain resources one at a time, or you don't have any C
extensions that access other files in the project (such as data files or
shared libraries), you probably do NOT need this argument and shouldn't
mess with it. For more details on how this argument works, see the section
below on `Automatic Resource Extraction`_.
``use_2to3``
Convert the source code from Python 2 to Python 3 with 2to3 during the
build process. See :doc:`python3` for more details.
``convert_2to3_doctests``
List of doctest source files that need to be converted with 2to3.
See :doc:`python3` for more details.
``use_2to3_fixers``
A list of modules to search for additional fixers to be used during
the 2to3 conversion. See :doc:`python3` for more details.
``project_urls``
An arbitrary map of URL names to hyperlinks, allowing more extensible
documentation of where various resources can be found than the simple
``url`` and ``download_url`` options provide.
\ No newline at end of file
Automatic Resource Extraction
-----------------------------
If you are using tools that expect your resources to be "real" files, or your
project includes non-extension native libraries or other files that your C
extensions expect to be able to access, you may need to list those files in
the ``eager_resources`` argument to ``setup()``, so that the files will be
extracted together, whenever a C extension in the project is imported.
This is especially important if your project includes shared libraries *other*
than distutils-built C extensions, and those shared libraries use file
extensions other than ``.dll``, ``.so``, or ``.dylib``, which are the
extensions that setuptools 0.6a8 and higher automatically detects as shared
libraries and adds to the ``native_libs.txt`` file for you. Any shared
libraries whose names do not end with one of those extensions should be listed
as ``eager_resources``, because they need to be present in the filesystem when
he C extensions that link to them are used.
The ``pkg_resources`` runtime for compressed packages will automatically
extract *all* C extensions and ``eager_resources`` at the same time, whenever
*any* C extension or eager resource is requested via the ``resource_filename()``
API. (C extensions are imported using ``resource_filename()`` internally.)
This ensures that C extensions will see all of the "real" files that they
expect to see.
Note also that you can list directory resource names in ``eager_resources`` as
well, in which case the directory's contents (including subdirectories) will be
extracted whenever any C extension or eager resource is requested.
Please note that if you're not sure whether you need to use this argument, you
don't! It's really intended to support projects with lots of non-Python
dependencies and as a last resort for crufty projects that can't otherwise
handle being compressed. If your package is pure Python, Python plus data
files, or Python plus C, you really don't need this. You've got to be using
either C or an external program that needs "real" files in your project before
there's any possibility of ``eager_resources`` being relevant to your project.
Defining Additional Metadata
----------------------------
Some extensible applications and frameworks may need to define their own kinds
of metadata to include in eggs, which they can then access using the
``pkg_resources`` metadata APIs. Ordinarily, this is done by having plugin
developers include additional files in their ``ProjectName.egg-info``
directory. However, since it can be tedious to create such files by hand, you
may want to create a distutils extension that will create the necessary files
from arguments to ``setup()``, in much the same way that ``setuptools`` does
for many of the ``setup()`` arguments it adds. See the section below on
`Creating distutils Extensions`_ for more details, especially the subsection on
`Adding new EGG-INFO Files`_.
Setting the ``zip_safe`` flag
-----------------------------
For some use cases (such as bundling as part of a larger application), Python
packages may be run directly from a zip file.
Not all packages, however, are capable of running in compressed form, because
they may expect to be able to access either source code or data files as
normal operating system files. So, ``setuptools`` can install your project
as a zipfile or a directory, and its default choice is determined by the
project's ``zip_safe`` flag.
You can pass a True or False value for the ``zip_safe`` argument to the
``setup()`` function, or you can omit it. If you omit it, the ``bdist_egg``
command will analyze your project's contents to see if it can detect any
conditions that would prevent it from working in a zipfile. It will output
notices to the console about any such conditions that it finds.
Currently, this analysis is extremely conservative: it will consider the
project unsafe if it contains any C extensions or datafiles whatsoever. This
does *not* mean that the project can't or won't work as a zipfile! It just
means that the ``bdist_egg`` authors aren't yet comfortable asserting that
the project *will* work. If the project contains no C or data files, and does
no ``__file__`` or ``__path__`` introspection or source code manipulation, then
there is an extremely solid chance the project will work when installed as a
zipfile. (And if the project uses ``pkg_resources`` for all its data file
access, then C extensions and other data files shouldn't be a problem at all.
See the `Accessing Data Files at Runtime`_ section above for more information.)
However, if ``bdist_egg`` can't be *sure* that your package will work, but
you've checked over all the warnings it issued, and you are either satisfied it
*will* work (or if you want to try it for yourself), then you should set
``zip_safe`` to ``True`` in your ``setup()`` call. If it turns out that it
doesn't work, you can always change it to ``False``, which will force
``setuptools`` to install your project as a directory rather than as a zipfile.
In the future, as we gain more experience with different packages and become
more satisfied with the robustness of the ``pkg_resources`` runtime, the
"zip safety" analysis may become less conservative. However, we strongly
recommend that you determine for yourself whether your project functions
correctly when installed as a zipfile, correct any problems if you can, and
then make an explicit declaration of ``True`` or ``False`` for the ``zip_safe``
flag, so that it will not be necessary for ``bdist_egg`` to try to guess
whether your project can work as a zipfile.
.. _`package_discovery`:
========================================
Package Discovery and Namespace Package
========================================
.. note::
a full specification for the keyword supplied to ``setup.cfg`` or
``setup.py`` can be found at :ref:`keywords reference <keywords_ref>`
.. note::
the examples provided here are only to demonstrate the functionality
introduced. More metadata and options arguments need to be supplied
if you want to replicate them on your system. If you are completely
new to setuptools, the :ref:`quickstart section <quickstart>` is a good
place to start.
``Setuptools`` provide powerful tools to handle package discovery, including
support for namespace package. Normally, you would specify the package to be
included manually in the following manner:
.. code-block:: ini
[options]
#...
packages =
mypkg1
mypkg2
.. code-block:: python
setup(
#...
packages = ['mypkg1', 'mypkg2']
)
This can get tiresome reallly quickly. To speed things up, we introduce two
functions provided by setuptools:
.. code-block:: ini
[options]
packages = find:
#or
packages = find_namespace:
.. code-block:: python
from setuptools import find_packages
#or
from setuptools import find_namespace_packages
Using ``find:`` or ``find_packages``
====================================
Let's start with the first tool. ``find:`` (``find_packages``) takes a source
directory and two lists of package name patterns to exclude and include, and
then return a list of ``str`` representing the packages it could find. To use
it, consider the following directory
.. code-block:: bash
mypkg/
src/
pkg1/__init__.py
pkg2/__init__.py
additional/__init__.py
setup.cfg #or setup.py
To have your setup.cfg or setup.py to automatically include packages found
in ``src`` that starts with the name ``pkg`` and not ``additional``:
.. code-block:: ini
[options]
packages = find:
package_dir =
=src
[options.packages.find]
where = src
include = pkg*
exclude = additional
.. code-block:: python
setup(
#...
packages = find_packages(
where = 'src',
include = ['pkg*',],
exclude = ['tests',]
),
package_dir = {"":"src"}
#...
)
Using ``find_namespace:`` or ``find_namespace_packages``
========================================================
``setuptools`` provides the ``find_namespace:`` (``find_namespace_packages``)
which behaves similarly to ``find:`` but works with namespace package. Before
diving in, it is important to have a good understanding of what namespace
packages are. Here is a quick recap:
Suppose you have two packages named as follows:
.. code-block:: bash
/Users/Desktop/timmins/foo/__init__.py
/Library/timmins/bar/__init__.py
If both ``Desktop`` and ``Library`` are on your ``PYTHONPATH``, then a
namespace package called ``timmins`` will be created automatically for you when
you invoke the import mechanism, allowing you to accomplish the following
.. code-block:: python
>>> import timmins.foo
>>> import timmins.bar
as if there is only one ``timmins`` on your system. The two packages can then
be distributed separately and installed individually without affecting the
other one. Suppose you are packaging the ``foo`` part:
.. code-block:: bash
foo/
src/
timmins/foo/__init__.py
setup.cfg # or setup.py
and you want the ``foo`` to be automatically included, ``find:`` won't work
because timmins doesn't contain ``__init__.py`` directly, instead, you have
to use ``find_namespace:``:
.. code-block:: ini
[options]
package_dir =
=src
packages = find_namespace:
[options.packages.find_namespace]
where = src
When you install the zipped distribution, ``timmins.foo`` would become
available to your interpreter.
You can think of ``find_namespace:`` as identical to ``find:`` except it
would count a directory as a package even if it doesn't contain ``__init__.py``
file directly. As a result, this creates an interesting side effect. If you
organize your package like this:
.. code-block:: bash
foo/
timmins/
foo/__init__.py
setup.cfg # or setup.py
tests/
test_foo/__init__.py
a naive ``find_namespace:`` would include tests as part of your package to
be installed. A simple way to fix it is to adopt the aforementioned
``src`` layout.
Legacy Namespace Packages
=========================
The fact you can create namespace package so effortlessly above is credited
to `PEP 420 <https://www.python.org/dev/peps/pep-0420/>`_. It use to be more
cumbersome to accomplish the same result. Historically, there were two methods
to create namespace packages. One is the ``pkg_resources`` style supported by
``setuptools`` and the other one being ``pkgutils`` style offered by
``pkgutils`` module in Python. Both are now considered deprecated despite the
fact they still linger in many existing packages. These two differ in many
subtle yet significant aspects and you can find out more on `Python packaging
user guide <https://packaging.python.org/guides/packaging-namespace-packages/>`_
``pkg_resource`` style namespace package
----------------------------------------
This is the method ``setuptools`` directly supports. Starting with the same
layout, there are two pieces you need to add to it. First, an ``__init__.py``
file directly under your namespace package directory that contains the
following:
.. code-block:: python
__import__("pkg_resources").declare_namespace(__name__)
And the ``namespace_packages`` keyword in your ``setup.cfg`` or ``setup.py``:
.. code-block:: ini
[options]
namespace_packages = timmins
.. code-block:: python
setup(
# ...
namespace_packages = ['timmins']
)
And your directory should look like this
.. code-block:: bash
/foo/
src/
timmins/
__init__.py
foo/__init__.py
setup.cfg #or setup.py
Repeat the same for other packages and you can achieve the same result as
the previous section.
``pkgutil`` style namespace package
-----------------------------------
This method is almost identical to the ``pkg_resource`` except that the
``namespace_packages`` declaration is omitted and the ``__init__.py``
file contains the following:
.. code-block:: python
__path__ = __import__('pkgutil').extend_path(__path__, __name__)
The project layout remains the same and ``setup.cfg`` remains the same.
==========================
``setuptools`` Quickstart
==========================
.. contents::
Installation
============
To install the latest version of setuptools, use::
pip install --upgrade setuptools
Python packaging at a glance
============================
The landscape of Python packaging is shifting and ``Setuptools`` has evolved to
only provide backend support, no longer being the de-facto packaging tool in
the market. All python package must provide a ``pyproject.toml`` and specify
the backend (build system) it wants to use. The distribution can then
be generated with whatever tools that provides a ``build sdist``-alike
functionality. While this may appear cumbersome, given the added pieces,
it in fact tremendously enhances the portability of your package. The
change is driven under `PEP 517 <https://www.python.org/dev/peps/pep-0517/#
build-requirements>``. To learn more about Python packaging in general,
navigate to the `bottom <Resources on python packaging>`_ of this page.
Basic Use
=========
For basic use of setuptools, you will need a ``pyproject.toml`` with the
exact following info, which declares you want to use ``setuptools`` to
package your project:
.. code-block:: toml
[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
Then, you will need a ``setup.cfg`` to specify your package information,
such as metadata, contents, dependencies, etc. Here we demonstrate the minimum
.. code-block:: ini
[metadata]
name = "mypackage"
version = 0.0.1
[options]
packages = "mypackage"
install_requires =
requests
importlib; python_version == "2.6"
This is what your project would look like::
~/mypackage/
pyproject.toml
setup.cfg
mypackage/__init__.py
Then, you need an installer, such as `pep517 <https://pypi.org/project/pep517/>`_
which you can obtain via ``pip install pep517``. After downloading it, invoke
the installer::
python -m pep517.build
You now have your distribution ready (e.g. a ``tar.gz`` file and a ``.whl``
file in the ``dist`` directory), which you can upload to PyPI!
Of course, before you release your project to PyPI, you'll want to add a bit
more information to your setup script to help people find or learn about your
project. And maybe your project will have grown by then to include a few
dependencies, and perhaps some data files and scripts. In the next few section,
we will walk through those additional but essential information you need
to specify to properly package your project.
Automatic package discovery
===========================
For simple projects, it's usually easy enough to manually add packages to
the ``packages`` keyword in ``setup.cfg``. However, for very large projects
, it can be a big burden to keep the package list updated. ``setuptools``
therefore provides two convenient tools to ease the burden: ``find: `` and
``find_namespace: ``. To use it in your project:
.. code-block:: ini
[options]
packages = find:
[options.packages.find] #optional
include=pkg1, pkg2
exclude=pk3, pk4
When you pass the above information, alongside other necessary ones,
``setuptools`` walks through the directory specified in ``where`` (omitted
here as the package reside in current directory) and filters the packages
it can find following the ``include`` (default to none), then remove
those that match the ``exclude`` and return a list of Python packages. Note
that each entry in the ``[options.packages.find]`` is optional. The above
setup also allows you to adopt a ``src/`` layout. For more details and advanced
use, go to :ref:`package_discovery`
Entry points and automatic script creation
===========================================
Setuptools support automatic creation of scripts upon installation, that runs
code within your package if you specify them with the ``entry_point`` keyword.
This is what allows you to run commands like ``pip install`` instead of having
to type ``python -m pip install``. To accomplish this, add the entry_points
keyword in your ``setup.cfg``:
.. code-block:: ini
[options]
entry_points =
[console_script]
main = mypkg:some_func
When this project is installed, a ``main`` script will be installed and will
invoke the ``some_func`` in the ``__init__.py`` file when called by the user.
For detailed usage, including managing the additional or optional dependencies,
go to :ref:`entry_point`.
Dependency management
=====================
``setuptools`` supports automatically installing dependencies when a package is
installed. The simplest way to include requirement specifiers is to use the
``install_requires`` argument to ``setup.cfg``. It takes a string or list of
strings containing requirement specifiers (A version specifier is one of the
operators <, >, <=, >=, == or !=, followed by a version identifier):
.. code-block:: ini
[options]
install_requires =
docutils >= 0.3
requests <= 0.4
When your project is installed, all of the dependencies not already installed
will be located (via PyPI), downloaded, built (if necessary), and installed.
This, of course, is a simplified scenarios. ``setuptools`` also provide
additional keywords such as ``setup_requires`` that allows you to install
dependencies before running the script, and ``extras_requires`` that take
care of those needed by automatically generated scripts. It also provides
mechanisms to handle dependencies that are not in PyPI. For more advanced use,
see :ref:`dependency_management`
Including Data Files
====================
The distutils have traditionally allowed installation of "data files", which
are placed in a platform-specific location. Setuptools offers three ways to
specify data files to be included in your packages. For the simpliest use, you
can simply use the ``include_package_data`` keyword:
.. code-block:: ini
[options]
include_package_data = True
This tells setuptools to install any data files it finds in your packages.
The data files must be specified via the distutils' ``MANIFEST.in`` file.
For more details, see :ref:`datafiles`
Development mode
================
``setuptools`` allows you to install a package without copying any files
to your interpretor directory (e.g. the ``site-packages`` directory). This
allows you to modify your source code and have the changes take effect without
you having to rebuild and reinstall. This is currently incompatible with
PEP 517 and therefore it requires a ``setup.py`` script with the following
content::
import setuptools
setuptools.setup()
Then::
pip install --editable .
This creates a link file in your interpretor site package directory which
associate with your source code. For more information, see: (WIP)
Uploading your package to PyPI
==============================
After generating the distribution files, next step would be to upload your
distribution so others can use it. This functionality is provided by
``twine <https://pypi.org/project/twine/>`` and we will only demonstrate the
basic use here.
Transitioning from ``setup.py`` to ``setup.cfg``
==================================================
To avoid executing arbitary scripts and boilerplate code, we are transitioning
into a full-fledged ``setup.cfg`` to declare your package information instead
of running ``setup()``. This inevitably brings challenges due to a different
syntax. Here we provide a quick guide to understanding how ``setup.cfg`` is
parsed by ``setuptool`` to ease the pain of transition.
Resources on Python packaging
=============================
Packaging in Python is hard. Here we provide a list of links for those that
want to learn more.
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