importlib.metadata
– Accessing package metadata¶
Added in version 3.8.
Змінено в версії 3.10: importlib.metadata
більше не є тимчасовим.
Вихідний код: Lib/importlib/metadata/__init__.py
importlib.metadata
is a library that provides access to
the metadata of an installed Distribution Package,
such as its entry points
or its top-level names (Import Packages, modules, if any).
Built in part on Python’s import system, this library
intends to replace similar functionality in the entry point
API and metadata API of pkg_resources
. Along with
importlib.resources
,
this package can eliminate the need to use the older and less efficient
pkg_resources
package.
importlib.metadata
operates on third-party distribution packages
installed into Python’s site-packages
directory via tools such as
pip.
Specifically, it works with distributions with discoverable
dist-info
or egg-info
directories,
and metadata defined by the Core metadata specifications.
Важливо
These are not necessarily equivalent to or correspond 1:1 with the top-level import package names that can be imported inside Python code. One distribution package can contain multiple import packages (and single modules), and one top-level import package may map to multiple distribution packages if it is a namespace package. You can use packages_distributions() to get a mapping between them.
By default, distribution metadata can live on the file system
or in zip archives on
sys.path
. Through an extension mechanism, the metadata can live almost
anywhere.
Дивись також
- https://importlib-metadata.readthedocs.io/
The documentation for
importlib_metadata
, which supplies a backport ofimportlib.metadata
. This includes an API reference for this module’s classes and functions, as well as a migration guide for existing users ofpkg_resources
.
Огляд¶
Let’s say you wanted to get the version string for a
Distribution Package you’ve installed
using pip
. We start by creating a virtual environment and installing
something into it:
$ python -m venv example
$ source example/bin/activate
(example) $ python -m pip install wheel
Ви можете отримати рядок версії для wheel
, виконавши наступне:
(example) $ python
>>> from importlib.metadata import version
>>> version('wheel')
'0.32.3'
You can also get a collection of entry points selectable by properties of the EntryPoint (typically „group“ or „name“), such as
console_scripts
, distutils.commands
and others. Each group contains a
collection of EntryPoint objects.
Ви можете отримати метадані для дистрибутива:
>>> list(metadata('wheel'))
['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']
Ви також можете отримати номер версії дистрибутива, перелічити його складові файли та отримати список Вимоги до розповсюдження дистрибутива.
- exception importlib.metadata.PackageNotFoundError¶
Subclass of
ModuleNotFoundError
raised by several functions in this module when queried for a distribution package which is not installed in the current Python environment.
Функціональний API¶
Цей пакет забезпечує такі функції через свій загальнодоступний API.
Точки входу¶
- importlib.metadata.entry_points(**select_params)¶
Returns a
EntryPoints
instance describing entry points for the current environment. Any given keyword parameters are passed to theselect()
method for comparison to the attributes of the individual entry point definitions.Note: it is not currently possible to query for entry points based on their
EntryPoint.dist
attribute (as differentDistribution
instances do not currently compare equal, even if they have the same attributes)
- class importlib.metadata.EntryPoints¶
Details of a collection of installed entry points.
Also provides a
.groups
attribute that reports all identified entry point groups, and a.names
attribute that reports all identified entry point names.
- class importlib.metadata.EntryPoint¶
Details of an installed entry point.
Each
EntryPoint
instance has.name
,.group
, and.value
attributes and a.load()
method to resolve the value. There are also.module
,.attr
, and.extras
attributes for getting the components of the.value
attribute, and.dist
for obtaining information regarding the distribution package that provides the entry point.
Запитувати всі точки входу:
>>> eps = entry_points()
The entry_points()
function returns a EntryPoints
object,
a collection of all EntryPoint
objects with names
and groups
attributes for convenience:
>>> sorted(eps.groups)
['console_scripts', 'distutils.commands', 'distutils.setup_keywords', 'egg_info.writers', 'setuptools.installation']
EntryPoints
has a select()
method to select entry points
matching specific properties. Select entry points in the
console_scripts
group:
>>> scripts = eps.select(group='console_scripts')
Equivalently, since entry_points()
passes keyword arguments
through to select:
>>> scripts = entry_points(group='console_scripts')
Виберіть певний сценарій під назвою «колесо» (знаходиться в проекті колеса):
>>> 'wheel' in scripts.names
True
>>> wheel = scripts['wheel']
Аналогічно, запитайте цю точку входу під час вибору:
>>> (wheel,) = entry_points(group='console_scripts', name='wheel')
>>> (wheel,) = entry_points().select(group='console_scripts', name='wheel')
Огляньте вирішену точку входу:
>>> wheel
EntryPoint(name='wheel', value='wheel.cli:main', group='console_scripts')
>>> wheel.module
'wheel.cli'
>>> wheel.attr
'main'
>>> wheel.extras
[]
>>> main = wheel.load()
>>> main
<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 the setuptools docs
for more information on entry points, their definition, and usage.
Змінено в версії 3.12: The «selectable» entry points were introduced in importlib_metadata
3.6 and Python 3.10. Prior to those changes, entry_points
accepted
no parameters and always returned a dictionary of entry points, keyed
by group. With importlib_metadata
5.0 and Python 3.12,
entry_points
always returns an EntryPoints
object. See
backports.entry_points_selectable
for compatibility options.
Змінено в версії 3.13: EntryPoint
objects no longer present a tuple-like interface
(__getitem__()
).
Метадані розповсюдження¶
- importlib.metadata.metadata(distribution_name)¶
Return the distribution metadata corresponding to the named distribution package as a
PackageMetadata
instance.Raises
PackageNotFoundError
if the named distribution package is not installed in the current Python environment.
- class importlib.metadata.PackageMetadata¶
A concrete implementation of the PackageMetadata protocol.
In addition to providing the defined protocol methods and attributes, subscripting the instance is equivalent to calling the
get()
method.
Every Distribution Package
includes some metadata, which you can extract using the metadata()
function:
>>> wheel_metadata = metadata('wheel')
The keys of the returned data structure name the metadata keywords, and the values are returned unparsed from the distribution metadata:
>>> wheel_metadata['Requires-Python']
'>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*'
PackageMetadata
also presents a json
attribute that returns
all the metadata in a JSON-compatible form per PEP 566:
>>> wheel_metadata.json['requires_python']
'>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*'
The full set of available metadata is not described here. See the PyPA Core metadata specification for additional details.
Змінено в версії 3.10: Опис
тепер включено в метадані, коли представлено через корисне навантаження. Символи продовження рядка видалено.
Додано атрибут json
.
Версії розповсюдження¶
- importlib.metadata.version(distribution_name)¶
Return the installed distribution package version for the named distribution package.
Raises
PackageNotFoundError
if the named distribution package is not installed in the current Python environment.
The version()
function is the quickest way to get a
Distribution Package’s version
number, as a string:
>>> version('wheel')
'0.32.3'
Файли розповсюдження¶
- importlib.metadata.files(distribution_name)¶
Return the full set of files contained within the named distribution package.
Raises
PackageNotFoundError
if the named distribution package is not installed in the current Python environment.Returns
None
if the distribution is found but the installation database records reporting the files associated with the distribuion package are missing.
- class importlib.metadata.PackagePath¶
A
pathlib.PurePath
derived object with additionaldist
,size
, andhash
properties corresponding to the distribution package’s installation metadata for that file.
The files()
function takes a
Distribution Package
name and returns all of the files installed by this distribution. Each file is reported
as a PackagePath
instance. For example:
>>> util = [p for p in files('wheel') if 'util.py' in str(p)][0]
>>> util
PackagePath('wheel/util.py')
>>> util.size
859
>>> util.dist
<importlib.metadata._hooks.PathDistribution object at 0x101e0cef0>
>>> util.hash
<FileHash mode: sha256 value: bYkw5oMccfazVCoYQwKkkemoVyMAFoR34mmKBx8R1NI>
Отримавши файл, ви також можете прочитати його вміст:
>>> print(util.read_text())
import base64
import sys
...
def as_bytes(s):
if isinstance(s, text_type):
return s.encode('utf-8')
return s
You can also use the locate()
method to get the absolute
path to the file:
>>> util.locate()
PosixPath('/home/gustav/example/lib/site-packages/wheel/util.py')
In the case where the metadata file listing files
(RECORD
or SOURCES.txt
) is missing, files()
will
return None
. The caller may wish to wrap calls to
files()
in always_iterable
or otherwise guard against this condition if the target
distribution is not known to have the metadata present.
Вимоги до розповсюдження¶
- importlib.metadata.requires(distribution_name)¶
Return the declared dependency specifiers for the named distribution package.
Raises
PackageNotFoundError
if the named distribution package is not installed in the current Python environment.
To get the full set of requirements for a Distribution Package,
use the requires()
function:
>>> requires('wheel')
["pytest (>=3.0.0) ; extra == 'test'", "pytest-cov ; extra == 'test'"]
Mapping import to distribution packages¶
- importlib.metadata.packages_distributions()¶
Return a mapping from the top level module and import package names found via
sys.meta_path
to the names of the distribution packages (if any) that provide the corresponding files.To allow for namespace packages (which may have members provided by multiple distribution packages), each top level import name maps to a list of distribution names rather than mapping directly to a single name.
A convenience method to resolve the Distribution Package name (or names, in the case of a namespace package) that provide each importable top-level Python module or Import Package:
>>> packages_distributions()
{'importlib_metadata': ['importlib-metadata'], 'yaml': ['PyYAML'], 'jaraco': ['jaraco.classes', 'jaraco.functools'], ...}
Some editable installs, do not supply top-level names, and thus this function is not reliable with such installs.
Added in version 3.10.
Розподіл¶
- importlib.metadata.distribution(distribution_name)¶
Return a
Distribution
instance describing the named distribution package.Raises
PackageNotFoundError
if the named distribution package is not installed in the current Python environment.
- class importlib.metadata.Distribution¶
Details of an installed distribution package.
Note: different
Distribution
instances do not currently compare equal, even if they relate to the same installed distribution and accordingly have the same attributes.
While the module level API described above is the most common and convenient usage,
you can get all of that information from the Distribution
class.
Distribution
is an abstract object that represents the metadata for
a Python Distribution Package.
You can get the concrete Distribution
subclass instance for an installed
distribution package by calling the distribution()
function:
>>> from importlib.metadata import distribution
>>> dist = distribution('wheel')
>>> type(dist)
<class 'importlib.metadata.PathDistribution'>
Thus, an alternative way to get the version number is through the
Distribution
instance:
>>> dist.version
'0.32.3'
There are all kinds of additional metadata available on Distribution
instances:
>>> dist.metadata['Requires-Python']
'>=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*'
>>> dist.metadata['License']
'MIT'
For editable packages, an origin
property may present PEP 610
metadata:
>>> dist.origin.url
'file:///path/to/wheel-0.32.3.editable-py3-none-any.whl'
The full set of available metadata is not described here. See the PyPA Core metadata specification for additional details.
Added in version 3.13: The .origin
property was added.
Distribution Discovery¶
By default, this package provides built-in support for discovery of metadata
for file system and zip file Distribution Packages.
This metadata finder search defaults to sys.path
, but varies slightly in how it interprets those values from how other import machinery does. In particular:
importlib.metadata
does not honorbytes
objects onsys.path
.importlib.metadata
will incidentally honorpathlib.Path
objects onsys.path
even though such values will be ignored for imports.
Розширення алгоритму пошуку¶
Because Distribution Package metadata
is not available through sys.path
searches, or
package loaders directly,
the metadata for a distribution is found through import
system finders. To find a distribution package’s metadata,
importlib.metadata
queries the list of meta path finders on
sys.meta_path
.
By default importlib.metadata
installs a finder for distribution packages
found on the file system.
This finder doesn’t actually find any distributions,
but it can find their metadata.
Абстрактний клас importlib.abc.MetaPathFinder
визначає інтерфейс, очікуваний від шукачів системою імпорту Python. importlib.metadata
розширює цей протокол, шукаючи необов’язковий find_distributions
, викликаний у шукачах з sys.meta_path
, і представляє цей розширений інтерфейс як DistributionFinder
абстрактний базовий клас, який визначає цей абстрактний метод:
@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``.
"""
Об’єкт DistributionFinder.Context
надає властивості .path
і .name
, що вказують шлях для пошуку та ім’я, яке відповідає, і може надати інший відповідний контекст.
На практиці це означає, що для підтримки пошуку метаданих пакетів дистрибутива в місцях, відмінних від файлової системи, створіть підклас Distribution
і реалізуйте абстрактні методи. Потім із спеціального засобу пошуку поверніть екземпляри цього похідного Distribution
у методі find_distributions()
.
приклад¶
Consider for example a custom finder that loads Python modules from a database:
class DatabaseImporter(importlib.abc.MetaPathFinder):
def __init__(self, db):
self.db = db
def find_spec(self, fullname, target=None) -> ModuleSpec:
return self.db.spec_from_name(fullname)
sys.meta_path.append(DatabaseImporter(connect_db(...)))
That importer now presumably provides importable modules from a
database, but it provides no metadata or entry points. For this
custom importer to provide metadata, it would also need to implement
DistributionFinder
:
from importlib.metadata import DistributionFinder
class DatabaseImporter(DistributionFinder):
...
def find_distributions(self, context=DistributionFinder.Context()):
query = dict(name=context.name) if context.name else {}
for dist_record in self.db.query_distributions(query):
yield DatabaseDistribution(dist_record)
In this way, query_distributions
would return records for
each distribution served by the database matching the query. For
example, if requests-1.0
is in the database, find_distributions
would yield a DatabaseDistribution
for Context(name='requests')
or Context(name=None)
.
For the sake of simplicity, this example ignores context.path
. The
path
attribute defaults to sys.path
and is the set of import paths to
be considered in the search. A DatabaseImporter
could potentially function
without any concern for a search path. Assuming the importer does no
partitioning, the «path» would be irrelevant. In order to illustrate the
purpose of path
, the example would need to illustrate a more complex
DatabaseImporter
whose behavior varied depending on
sys.path
/PYTHONPATH
. In that case, the find_distributions
should
honor the context.path
and only yield Distribution
s pertinent to that
path.
DatabaseDistribution
, then, would look something like:
class DatabaseDistribution(importlib.metadata.Distribution):
def __init__(self, record):
self.record = record
def read_text(self, filename):
"""
Read a file like "METADATA" for the current distribution.
"""
if filename == "METADATA":
return f"""Name: {self.record.name}
Version: {self.record.version}
"""
if filename == "entry_points.txt":
return "\n".join(
f"""[{ep.group}]\n{ep.name}={ep.value}"""
for ep in self.record.entry_points)
def locate_file(self, path):
raise RuntimeError("This distribution has no file system")
This basic implementation should provide metadata and entry points for
packages served by the DatabaseImporter
, assuming that the
record
supplies suitable .name
, .version
, and
.entry_points
attributes.
The DatabaseDistribution
may also provide other metadata files, like
RECORD
(required for Distribution.files
) or override the
implementation of Distribution.files
. See the source for more inspiration.