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Python Enhancement Proposals

PEP 459 – Standard Metadata Extensions for Python Software Packages

Author:
Nick Coghlan <ncoghlan at gmail.com>
BDFL-Delegate:
Nick Coghlan <ncoghlan at gmail.com>
Discussions-To:
Distutils-SIG list
Status:
Withdrawn
Type:
Standards Track
Topic:
Packaging
Requires:
426
Created:
11-Nov-2013
Post-History:
21-Dec-2013

Table of Contents

PEP Withdrawal

This PEP depends on PEP 426, which has itself been withdrawn. See the PEP Withdrawal section in that PEP for details.

In the meantime, metadata extensions will continue to be handled as they have been for past examples like entry_points.txt: as additional files installed into metadata directories alongside the main METADATA file.

Abstract

This PEP describes several standard extensions to the Python metadata.

Like all metadata extensions, each standard extension format is independently versioned. Changing any of the formats requires an update to this PEP, but does not require an update to the core packaging metadata.

Standard Extension Namespace

The python project on the Python Package Index refers to the CPython reference interpreter. This namespace is used as the namespace for the standard metadata extensions.

The currently defined standard extensions are:

  • python.details
  • python.project
  • python.integrator
  • python.exports
  • python.commands
  • python.constraints

All standard extensions are currently at version 1.0, and thus the extension_metadata field may be omitted without losing access to any functionality.

The python.details extension

The python.details extension allows for more information to be provided regarding the software distribution.

The python.details extension contains four custom subfields:

  • license: the copyright license for the distribution
  • keywords: package index keywords for the distribution
  • classifiers: package index Trove classifiers for the distribution
  • document_names: the names of additional metadata files

All of these fields are optional. Automated tools MUST operate correctly if a distribution does not provide them, including failing cleanly when an operation depending on one of these fields is requested.

License

A short string summarising the license used for this distribution.

Note that distributions that provide this field should still specify any applicable license Trove classifiers in the Classifiers field. Even when an appropriate Trove classifier is available, the license summary can be a good way to specify a particular version of that license, or to indicate any variations or exception to the license.

This field SHOULD contain fewer than 512 characters and MUST contain fewer than 2048.

This field SHOULD NOT contain any line breaks.

The full license text SHOULD be included as a separate file in the source archive for the distribution. See Document names for details.

Example:

"license": "GPL version 3, excluding DRM provisions"

Keywords

A list of additional keywords to be used to assist searching for the distribution in a larger catalog.

Example:

"keywords": ["comfy", "chair", "cushions", "too silly", "monty python"]

Classifiers

A list of strings, with each giving a single classification value for the distribution. Classifiers are described in PEP 301 [2].

Example:

"classifiers": [
  "Development Status :: 4 - Beta",
  "Environment :: Console (Text Based)",
  "License :: OSI Approved :: GNU General Public License v3 (GPLv3)"
]

Document names

Filenames for supporting documents included in the distribution’s dist-info metadata directory.

The following supporting documents can be named:

  • description: a file containing a long description of the distribution
  • license: a file with the full text of the distribution’s license
  • changelog: a file describing changes made to the distribution

Supporting documents MUST be included directly in the dist-info directory. Directory separators are NOT permitted in document names.

The markup format (if any) for the file is indicated by the file extension. This allows index servers and other automated tools to render included text documents correctly and provide feedback on rendering errors, rather than having to guess the intended format.

If the filename has no extension, or the extension is not recognised, the default rendering format MUST be plain text.

The following markup renderers SHOULD be used for the specified file extensions:

  • Plain text: .txt, no extension, unknown extension
  • reStructured Text: .rst
  • Markdown: .md
  • AsciiDoc: .adoc, .asc, .asciidoc
  • HTML: .html, .htm

Automated tools MAY render one or more of the specified formats as plain text and MAY render other markup formats beyond those listed.

Automated tools SHOULD NOT make any assumptions regarding the maximum length of supporting document content, except as necessary to protect the integrity of a service.

Example:

"document_names": {
    "description": "README.rst",
    "license": "LICENSE.rst",
    "changelog": "NEWS"
}

The python.project extension

The python.project extension allows for more information to be provided regarding the creation and maintenance of the distribution.

The python.project extension contains three custom subfields:

  • contacts: key contact points for the distribution
  • contributors: other contributors to the distribution
  • project_urls: relevant URLs for the distribution

Contact information

Details on individuals and organisations are recorded as mappings with the following subfields:

  • name: the name of an individual or group
  • email: an email address (this may be a mailing list)
  • url: a URL (such as a profile page on a source code hosting service)
  • role: one of "author", "maintainer" or "contributor"

The name subfield is required, the other subfields are optional.

If no specific role is stated, the default is contributor.

Email addresses must be in the form local-part@domain where the local-part may be up to 64 characters long and the entire email address contains no more than 254 characters. The formal specification of the format is in RFC 5322 (sections 3.2.3 and 3.4.1) and RFC 5321, with a more readable form given in the informational RFC 3696 and the associated errata.

The defined contributor roles are as follows:

  • author: the original creator of a distribution
  • maintainer: the current lead contributor for a distribution, when they are not the original creator
  • contributor: any other individuals or organizations involved in the creation of the distribution

Contact and contributor metadata is optional. Automated tools MUST operate correctly if a distribution does not provide it, including failing cleanly when an operation depending on one of these fields is requested.

Contacts

A list of contributor entries giving the recommended contact points for getting more information about the project.

The example below would be suitable for a project that was in the process of handing over from the original author to a new lead maintainer, while operating as part of a larger development group.

Example:

"contacts": [
  {
    "name": "Python Packaging Authority/Distutils-SIG",
    "email": "distutils-sig@python.org",
    "url": "https://bitbucket.org/pypa/"
  },
  {
    "name": "Samantha C.",
    "role": "maintainer",
    "email": "dontblameme@example.org"
  },
  {
    "name": "Charlotte C.",
    "role": "author",
    "email": "iambecomingasketchcomedian@example.com"
  }
]

Contributors

A list of contributor entries for other contributors not already listed as current project points of contact. The subfields within the list elements are the same as those for the main contact field.

Example:

"contributors": [
  {"name": "John C."},
  {"name": "Erik I."},
  {"name": "Terry G."},
  {"name": "Mike P."},
  {"name": "Graeme C."},
  {"name": "Terry J."}
]

Project URLs

A mapping of arbitrary text labels to additional URLs relevant to the project.

While projects are free to choose their own labels and specific URLs, it is RECOMMENDED that home page, source control, issue tracker and documentation links be provided using the labels in the example below.

URL labels MUST be treated as case insensitive by automated tools, but they are not required to be valid Python identifiers. Any legal JSON string is permitted as a URL label.

Example:

"project_urls": {
  "Documentation": "https://distlib.readthedocs.org",
  "Home": "https://bitbucket.org/pypa/distlib",
  "Repository": "https://bitbucket.org/pypa/distlib/src",
  "Tracker": "https://bitbucket.org/pypa/distlib/issues"
}

The python.integrator extension

Structurally, this extension is largely identical to the python.project extension (the extension name is the only difference).

However, where the project metadata refers to the upstream creators of the software, the integrator metadata refers to the downstream redistributor of a modified version.

If the software is being redistributed unmodified, then typically this extension will not be used. However, if the software has been patched (for example, backporting compatible fixes from a later version, or addressing a platform compatibility issue), then this extension SHOULD be used, and a local version label added to the distribution’s version identifier.

If there are multiple redistributors in the chain, each one just overwrites this extension with their particular metadata.

The python.exports extension

Most Python distributions expose packages and modules for import through the Python module namespace. Distributions may also expose other interfaces when installed.

The python.exports extension contains three custom subfields:

  • modules: modules exported by the distribution
  • namespaces: namespace packages that the distribution contributes to
  • exports: other Python interfaces exported by the distribution

Export specifiers

An export specifier is a string consisting of a fully qualified name, as well as an optional extra name enclosed in square brackets. This gives the following four possible forms for an export specifier:

module
module:name
module[requires_extra]
module:name[requires_extra]

备注

The jsonschema file currently restricts qualified names using the Python 2 ASCII identifier rules. This may need to be reconsidered given the more relaxed identifier rules in Python 3.

The meaning of the subfields is as follows:

  • module: the module providing the export
  • name: if applicable, the qualified name of the export within the module
  • requires_extra: indicates the export will only work correctly if the additional dependencies named in the given extra are available in the installed environment

备注

I tried this as a mapping with subfields, and it made the examples below unreadable. While this PEP is mostly for tool use, readability still matters to some degree for debugging purposes, and because I expect snippets of the format to be reused elsewhere.

Modules

A list of qualified names of modules and packages that the distribution provides for import.

备注

The jsonschema file currently restricts qualified names using the Python 2 ASCII identifier rules. This may need to be reconsidered given the more relaxed identifier rules in Python 3.

For names that contain dots, the portion of the name before the final dot MUST appear either in the installed module list or in the namespace package list.

To help avoid name conflicts, it is RECOMMENDED that distributions provide a single top level module or package that matches the distribution name (or a lower case equivalent). This requires that the distribution name also meet the requirements of a Python identifier, which are stricter than those for distribution names). This practice will also make it easier to find authoritative sources for modules.

Index servers SHOULD allow multiple distributions to publish the same modules, but MAY notify distribution authors of potential conflicts.

Installation tools SHOULD report an error when asked to install a distribution that provides a module that is also provided by a different, previously installed, distribution.

Note that attempting to import some declared modules may result in an exception if the appropriate extras are not installed.

Example:

"modules": ["chair", "chair.cushions", "python_sketches.nobody_expects"]

备注

Making this a list of export specifiers instead would allow a distribution to declare when a particular module requires a particular extra in order to run correctly. On the other hand, there’s an argument to be made that that is the point where it starts to become worthwhile to split out a separate distribution rather than using extras.

Namespaces

A list of qualified names of namespace packages that the distribution contributes modules to.

备注

The jsonschema file currently restricts qualified names using the Python 2 ASCII identifier rules. This may need to be reconsidered given the more relaxed identifier rules in Python 3.

On versions of Python prior to Python 3.3 (which provides native namespace package support), installation tools SHOULD emit a suitable __init__.py file to properly initialise the namespace rather than using a distribution provided file.

Installation tools SHOULD emit a warning and MAY emit an error if a distribution declares a namespace package that conflicts with the name of an already installed module or vice-versa.

Example:

"namespaces": ["python_sketches"]

Exports

The exports field is a mapping containing prefixed names as keys. Each key identifies an export group containing one or more exports published by the distribution.

Export group names are defined by distributions that will then make use of the published export information in some way. The primary use case is for distributions that support a plugin model: defining an export group allows other distributions to indicate which plugins they provide, how they can be imported and accessed, and which additional dependencies (if any) are needed for the plugin to work correctly.

To reduce the chance of name conflicts, export group names SHOULD use a prefix that corresponds to a module name in the distribution that defines the meaning of the export group. This practice will also make it easier to find authoritative documentation for export groups.

Each individual export group is then a mapping of arbitrary non-empty string keys to export specifiers. The meaning of export names within an export group is up to the distribution that defines the export group. Creating an appropriate definition for the export name format can allow the importing distribution to determine whether or not an export is relevant without needing to import every exporting module.

Example:

"exports": {
  "nose.plugins.0.10": {
    "chairtest": "chair:NosePlugin"
  }
}

The python.commands extension

The python.commands extension contains three custom subfields:

  • wrap_console: console wrapper scripts to be generated by the installer
  • wrap_gui: GUI wrapper scripts to be generated by the installer
  • prebuilt: scripts created by the distribution’s build process and installed directly to the configured scripts directory

wrap_console and wrap_gui are both mappings of script names to export specifiers. The script names must follow the same naming rules as distribution names.

The export specifiers for wrapper scripts must refer to either a package with a __main__ submodule (if no name subfield is given in the export specifier) or else to a callable inside the named module.

Installation tools should generate appropriate wrappers as part of the installation process.

备注

Still needs more detail on what “appropriate wrappers” means. For now, refer to what setuptools and zc.buildout generate as wrapper scripts.

prebuilt is a list of script paths, relative to the scripts directory in a wheel file or following installation. They are provided for informational purpose only - installing them is handled through the normal processes for files created when building a distribution.

Build tools SHOULD mark this extension as requiring handling by installers.

Index servers SHOULD allow multiple distributions to publish the same commands, but MAY notify distribution authors of potential conflicts.

Installation tools SHOULD report an error when asked to install a distribution that provides a command that is also provided by a different, previously installed, distribution.

Example:

"python.commands": {
  "installer_must_handle": true,
  "wrap_console": [{"chair": "chair:run_cli"}],
  "wrap_gui": [{"chair-gui": "chair:run_gui"}],
  "prebuilt": ["reduniforms"]
}

The python.constraints extension

The python.constraints extension contains two custom subfields:

  • environments: supported installation environments
  • extension_metadata: required exact matches in extension metadata fields published by other installed components

Build tools SHOULD mark this extension as requiring handling by installers.

Index servers SHOULD allow distributions to be uploaded with constraints that cannot be satisfied using that index, but MAY notify distribution authors of any such potential compatibility issues.

Installation tools SHOULD report an error if constraints are specified by the distribution and the target installation environment fails to satisfy them, MUST at least emit a warning, and MAY allow the user to force the installation to proceed regardless.

Example:

"python.constraints": {
  "installer_must_handle": true,
  "environments": ["python_version >= 2.6"],
  "extension_metadata": {
    "fortranlib": {
      "fortranlib.compatibility": {
        "fortran_abi": "openblas-g77"
      }
    }
  }
}

Supported Environments

The environments subfield is a list of strings specifying the environments that the distribution explicitly supports. An environment is considered supported if it matches at least one of the environment markers given.

If this field is not given in the metadata, it is assumed that the distribution supports any platform supported by Python.

Individual entries are environment markers, as described in PEP 426.

The two main uses of this field are to declare which versions of Python and which underlying operating systems are supported.

Examples indicating supported Python versions:

# Supports Python 2.6+
"environments": ["python_version >= '2.6'"]

# Supports Python 2.6+ (for 2.x) or 3.3+ (for 3.x)
"environments": ["python_version >= '3.3'",
                 "'3.0' > python_version >= '2.6'"]

Examples indicating supported operating systems:

# Windows only
"environments": ["sys_platform == 'win32'"]

# Anything except Windows
"environments": ["sys_platform != 'win32'"]

# Linux or BSD only
"environments": ["'linux' in sys_platform",
                 "'bsd' in sys_platform"]

Example where the supported Python version varies by platform:

# The standard library's os module has long supported atomic renaming
# on POSIX systems, but only gained atomic renaming on Windows in Python
# 3.3. A distribution that needs atomic renaming support for reliable
# operation might declare the following supported environments.
"environment": ["python_version >= '2.6' and sys_platform != 'win32'",
                "python_version >= '3.3' and sys_platform == 'win32'"]

Extension metadata constraints

The extension_metadata subfield is a mapping from distribution names to extension metadata snippets that are expected to exactly match the metadata of the named distribution in the target installation environment.

Each submapping then consists of a mapping from metadata extension names to the exact expected values of a subset of fields.

For example, a distribution called fortranlib may publish a different FORTRAN ABI depending on how it is built, and any related projects that are installed into the same runtime environment should use matching build options. This can be handled by having the base distribution publish a custom extension that indicates the build option that was used to create the binary extensions:

"extensions": {
  "fortranlib.compatibility": {
    "fortran_abi": "openblas-g77"
  }
}

Other distributions that contain binary extensions that need to be compatible with the base distribution would then define a suitable constraint in their own metadata:

"python.constraints": {
  "installer_must_handle": true,
  "extension_metadata": {
    "fortranlib": {
      "fortranlib.compatibility": {
        "fortran_abi": "openblas-g77"
      }
    }
  }
}

This constraint specifies that:

  • fortranlib must be installed (this should also be expressed as a normal dependency so that installers ensure it is satisfied)
  • The installed version of fortranlib must include the custom fortranlib.compatibility extension in its published metadata
  • The fortan_abi subfield of that extension must have the exact value openblas-g77.

If all of these conditions are met (the distribution is installed, the specified extension is included in the metadata, the specified subfields have the exact specified value), then the constraint is considered to be satisfied.

备注

The primary intended use case here is allowing C extensions with additional ABI compatibility requirements to declare those in a way that any installation tool can enforce without needing to understand the details. In particular, many NumPy based scientific libraries need to be built using a consistent set of FORTRAN libraries, hence the “fortranlib” example.

This is the reason there’s no support for pattern matching or boolean logic: even the “simple” version of this extension is relatively complex, and there’s currently no compelling rationale for making it more complicated than it already is.


Source: https://github.com/python/peps/blob/main/pep-0459.txt

Last modified: 2022-06-14 21:22:20 GMT