importlib.metadata
– 패키지 메타데이터 액세스¶
Added in version 3.8.
버전 3.10에서 변경: importlib.metadata
는 더는 잠정적이지 않습니다.
Source code: Lib/importlib/metadata/__init__.py
importlib.metadata
는 설치된 배포 패키지의 메타 데이터에 대한 액세스를 제공하는 라이브러리입니다. 에를 들어 진입 지점이나 최상위 이름(임포트 패키지, 모듈 등). 파이썬의 임포트 시스템에 내장된 이 라이브러리는 pkg_resources
의 진입 지점 API와 메타데이터 API에서 유사한 기능을 대체하려고 합니다. importlib.resources
와 함께, 이 패키지는 오래되고 덜 효율적인 pkg_resources
패키지를 사용할 필요를 제거합니다.
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.
중요
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.
더 보기
- 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
.
개요¶
pip
를 사용하여 설치한 배포 패키지의 버전 문자열을 얻고 싶다고 가정해 봅시다. 우선 가상 환경을 만들고 그 안에 뭔가 설치합니다:
$ python -m venv example
$ source example/bin/activate
(example) $ python -m pip install wheel
다음을 실행하여 wheel
에 대한 버전 문자열을 얻을 수 있습니다:
(example) $ python
>>> from importlib.metadata import version
>>> version('wheel')
'0.32.3'
console_scripts
, distutils.commands
나 그 외의 것들과 같은, EntryPoint 의 속성(보통 ‘group’ 이나 ‘name’)으로 선택할 수 있는 진입 지점의 컬렉션을 얻을 수도 있습니다. 각 그룹은 EntryPoint 객체의 컬랙션을 포함합니다.
여러분은 배포 메타데이터를 얻을 수 있습니다:
>>> 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']
또한 배포의 버전 번호를 가져오고, 구성 파일을 나열하고, 배포의 요구사항 리스트를 얻을 수 있습니다.
- 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.
기능적 API¶
이 패키지는 공용 API를 통해 다음과 같은 기능을 제공합니다.
진입 지점¶
- 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.
각
EntryPoint
인스턴스에는.name
,.group
및.value
어트리뷰트가 있고 값을 결정하는.load()
메서드가 있습니다..value
어트리뷰트의 구성 요소를 가져오기 위한.module
,.attr
및.extras
어트리뷰트도 있으며,.dist
는 진입 지점을 제공하는 배포 패키지에 대한 정보를 얻는데 사용됩니다.
모든 진입 지점을 조회합니다:
>>> 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')
Pick out a specific script named “wheel” (found in the wheel project):
>>> 'wheel' in scripts.names
True
>>> wheel = scripts['wheel']
Equivalently, query for that entry point during selection:
>>> (wheel,) = entry_points(group='console_scripts', name='wheel')
>>> (wheel,) = entry_points().select(group='console_scripts', name='wheel')
Inspect the resolved entry point:
>>> 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>
group
과 name
은 패키지 저자가 정의한 임의의 값이며 일반적으로 클라이언트는 특정 그룹에 대한 모든 진입 지점을 찾으려고 합니다. 진입 지점의 정의와 사용법에 대한 자세한 정보는 the setuptools docs를 읽으십시오.
버전 3.12에서 변경: 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.
버전 3.13에서 변경: EntryPoint
objects no longer present a tuple-like interface
(__getitem__()
).
배포 메타데이터¶
- 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.
모든 배포 패키지는 metadata()
함수를 사용하여 추출할 수 있는 몇 가지 메타 데이터가 포함되어 있습니다:
>>> wheel_metadata = metadata('wheel')
반환된 데이터 구조의 키는 메타데이터 키워드의 이름을 지정하고, 값은 배포 메타데이터에서 구문 분석하지 않은 채로 반환됩니다:
>>> 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.
버전 3.10에서 변경: The Description
is now included in the metadata when presented
through the payload. Line continuation characters have been removed.
The json
attribute was added.
배포 버전¶
- 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.
version()
함수는 배포 패키지의 버전 번호를 문자열로 가져오는 가장 빠른 방법입니다:
>>> version('wheel')
'0.32.3'
배포 파일¶
- 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>
일단 파일을 얻으면, 내용을 읽을 수도 있습니다:
>>> 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')
메타 데이터 파일 목록 파일(RECORD
나 SOURCES.txt
)이 누락된 경우, files()
는 None
을 반환합니다. 대상 배포에 메타 데이터가 있음이 알려지지 않았을 때, 이 조건에 대한 보호로 호출자는 files()
에 대한 호출을 always_iterable이나 다른 것으로 감쌀 수 있습니다.
배포 요구 사항¶
- 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.
배포 패키지의 전체 요구 사항을 얻으려면, requires()
함수를 사용하십시오:
>>> 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.
배포¶
- 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.
위에 기술된 모듈 수준 API가 가장 일반적이며 편리한 사용법이지만, Distribution
클래스에서 모든 정보를 얻을 수 있습니다. Distribution
은 파이썬 배포 패키지의 메타 데이터를 나타내는 추상 객체입니다. distribution()
함수를 호출해서, 설치된 배포 패키지의 구상 Distribution
서브클래스 인스턴스를 얻을 수 있습니다:
>>> from importlib.metadata import distribution
>>> dist = distribution('wheel')
>>> type(dist)
<class 'importlib.metadata.PathDistribution'>
따라서, 버전 번호를 얻는 다른 방법은 Distribution
인스턴스를 사용하는 것입니다:
>>> dist.version
'0.32.3'
Distribution
인스턴스에서 사용할 수 있는 모든 종류의 추가 메타 데이터가 있습니다:
>>> 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.
배포 발견¶
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.
검색 알고리즘 확장하기¶
배포 패키지 메타 데이터는 sys.path
검색이나 패키지 로더를 통해 직접 사용할 수 없으므로, 배포의 메타 데이터는 임포트 시스템 파인더를 통해 찾습니다. 배포 패키지의 메타 데이터를 찾기 위해, importlib.metadata
는 sys.meta_path
의 메타 경로 파인더의 리스트를 조회합니다.
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.
추상 클래스 importlib.abc.MetaPathFinder
는 파이썬의 임포트 시스템에 의해 파인더가 기대하는 인터페이스를 정의합니다. importlib.metadata
는 sys.meta_path
의 파인더에서 선택적인 find_distributions
콜러블을 조회함으로써 이 프로토콜을 확장하고 이 확장된 인터페이스를 다음과 같은 추상 메서드를 정의하는 DistributionFinder
추상 베이스 클래스로 제공합니다:
@abc.abstractmethod
def find_distributions(context=DistributionFinder.Context()):
"""지정한 ``context`` 에 대응하는 패키지에 대한 메타 데이터를 로드할 수 있는
모든 Distribution 인스턴스의 이터러블을 반환합니다.
"""
DistributionFinder.Context
객체는 검색할 경로와 일치할 이름을 가리키는 .path
와 .name
프로퍼티를 제공하고 다른 관련 문맥을 제공할 수 있습니다.
이것이 실제로 의미하는 것은, 파일 시스템이 아닌 위치에서 배포 패키지 메타 데이터를 찾는 것을 지원하려면, Distribution
을 서브 클래싱하고 추상 메서드를 구현해야 한다는 것입니다. 그런 다음 사용자 정의 파인더의 find_distributions()
메서드에서, 이 파생된 Distribution
의 인스턴스를 반환하십시오.
예제¶
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.