Note
This functionality is provisional and may deviate from the usual version semantics of the standard library.
importlib.metadata is a library that provides for access to installed
package metadata. Built in part on Python's import system, this library
intends to replace similar functionality in the metadata API of pkg_resources. Along with
importlib.resources in importlib_resources for older versions of
Python), this can eliminate the need to use the older and less efficient
pkg_resources package.
By "installed package" we generally mean a third-party package installed into
Python's site-packages directory via tools such as PEP 566 or its older specifications.
By default, package metadata can live on the file system or in zip archives on
sys.path. Through an extension mechanism, the metadata can live almost
anywhere.
Let's say you wanted to get the version string for a package you've installed
using pip. We start by creating a virtual environment and installing
something into it:
$ python3 -m venv example
$ source example/bin/activate
(example) $ pip install wheel
You can get the version string for wheel by running the following:
(example) $ python
>>> from importlib.metadata import version # doctest: +SKIP
>>> version('wheel') # doctest: +SKIP
'0.32.3'
You can also get the set of entry points keyed by group, such as
console_scripts, distutils.commands and others. Each group contains a
sequence of :ref:`EntryPoint <entry-points>` objects.
You can get the :ref:`metadata for a distribution <metadata>`:
>>> list(metadata('wheel')) # doctest: +SKIP
['Metadata-Version', 'Name', 'Version', 'Summary', 'Home-page', 'Author', 'Author-email', 'Maintainer', 'Maintainer-email', 'License', 'Project-URL', 'Project-URL', 'Project-URL', 'Keywords', 'Platform', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Classifier', 'Requires-Python', 'Provides-Extra', 'Requires-Dist', 'Requires-Dist']
You can also get a :ref:`distribution's version number <version>`, list its :ref:`constituent files <files>`, and get a list of the distribution's :ref:`requirements`.
This package provides the following functionality via its public API.
The entry_points() function returns a dictionary of all entry points,
keyed by group. Entry points are represented by EntryPoint instances;
each EntryPoint has a .name, .group, and .value attributes and
a .load() method to resolve the value.
>>> eps = entry_points() # doctest: +SKIP >>> list(eps) # doctest: +SKIP ['console_scripts', 'distutils.commands', 'distutils.setup_keywords', 'egg_info.writers', 'setuptools.installation'] >>> scripts = eps['console_scripts'] # doctest: +SKIP >>> wheel = [ep for ep in scripts if ep.name == 'wheel'][0] # doctest: +SKIP >>> wheel # doctest: +SKIP EntryPoint(name='wheel', value='wheel.cli:main', group='console_scripts') >>> main = wheel.load() # doctest: +SKIP >>> main # doctest: +SKIP <function main at 0x103528488>
The group and name are arbitrary values defined by the package author
and usually a client will wish to resolve all entry points for a particular
group. Read Distribution metadata
Every distribution includes some metadata, which you can extract using the
metadata() function:
>>> wheel_metadata = metadata('wheel') # doctest: +SKIP
The keys of the returned data structure [1] name the metadata keywords, and their values are returned unparsed from the distribution metadata:
>>> wheel_metadata['Requires-Python'] # doctest: +SKIP '>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*'
The version() function is the quickest way to get a distribution's version
number, as a string:
>>> version('wheel') # doctest: +SKIP
'0.32.3'
You can also get the full set of files contained within a distribution. The
files() function takes a distribution package name and returns all of the
files installed by this distribution. Each file object returned is a
PackagePath, a always_iterable
or otherwise guard against this condition if the target
distribution is not known to have the metadata present.
To get the full set of requirements for a distribution, use the requires()
function:
>>> requires('wheel') # doctest: +SKIP
["pytest (>=3.0.0) ; extra == 'test'", "pytest-cov ; extra == 'test'"]
While the above API is the most common and convenient usage, you can get all
of that information from the Distribution class. A Distribution is an
abstract object that represents the metadata for a Python package. You can
get the Distribution instance:
>>> from importlib.metadata import distribution # doctest: +SKIP
>>> dist = distribution('wheel') # doctest: +SKIP
Thus, an alternative way to get the version number is through the
Distribution instance:
>>> dist.version # doctest: +SKIP '0.32.3'
There are all kinds of additional metadata available on the Distribution
instance:
>>> d.metadata['Requires-Python'] # doctest: +SKIP '>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*' >>> d.metadata['License'] # doctest: +SKIP 'MIT'
The full set of available metadata is not described here. See Extending the search algorithm
Because package metadata is not available through sys.path searches, or
package loaders directly, the metadata for a package is found through import
system meta path finders on
:py:class:`importlib.abc.MetaPathFinder` defines the
interface expected of finders by Python's import system.
importlib.metadata extends this protocol by looking for an optional
find_distributions callable on the finders from
sys.meta_path and presents this extended interface as the
DistributionFinder abstract base class, which defines this abstract
method:
@abc.abstractmethod def find_distributions(context=DistributionFinder.Context()): """Return an iterable of all Distribution instances capable of loading the metadata for packages for the indicated ``context``. """
The DistributionFinder.Context object provides .path and .name
properties indicating the path to search and names to match and may
supply other relevant context.
What this means in practice is that to support finding distribution package
metadata in locations other than the file system, subclass
Distribution and implement the abstract methods. Then from
a custom finder, return instances of this derived Distribution in the
find_distributions() method.
Footnotes