805 lines
32 KiB
Python
805 lines
32 KiB
Python
from __future__ import annotations
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import email.feedparser
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import email.header
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import email.message
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import email.parser
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import email.policy
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import typing
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from typing import (
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Any,
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Callable,
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Generic,
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Literal,
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TypedDict,
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cast,
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)
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from . import requirements, specifiers, utils
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from . import version as version_module
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T = typing.TypeVar("T")
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try:
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ExceptionGroup
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except NameError: # pragma: no cover
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class ExceptionGroup(Exception):
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"""A minimal implementation of :external:exc:`ExceptionGroup` from Python 3.11.
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If :external:exc:`ExceptionGroup` is already defined by Python itself,
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that version is used instead.
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"""
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message: str
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exceptions: list[Exception]
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def __init__(self, message: str, exceptions: list[Exception]) -> None:
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self.message = message
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self.exceptions = exceptions
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def __repr__(self) -> str:
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return f"{self.__class__.__name__}({self.message!r}, {self.exceptions!r})"
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else: # pragma: no cover
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ExceptionGroup = ExceptionGroup
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class InvalidMetadata(ValueError):
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"""A metadata field contains invalid data."""
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field: str
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"""The name of the field that contains invalid data."""
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def __init__(self, field: str, message: str) -> None:
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self.field = field
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super().__init__(message)
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# The RawMetadata class attempts to make as few assumptions about the underlying
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# serialization formats as possible. The idea is that as long as a serialization
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# formats offer some very basic primitives in *some* way then we can support
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# serializing to and from that format.
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class RawMetadata(TypedDict, total=False):
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"""A dictionary of raw core metadata.
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Each field in core metadata maps to a key of this dictionary (when data is
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provided). The key is lower-case and underscores are used instead of dashes
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compared to the equivalent core metadata field. Any core metadata field that
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can be specified multiple times or can hold multiple values in a single
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field have a key with a plural name. See :class:`Metadata` whose attributes
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match the keys of this dictionary.
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Core metadata fields that can be specified multiple times are stored as a
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list or dict depending on which is appropriate for the field. Any fields
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which hold multiple values in a single field are stored as a list.
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"""
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# Metadata 1.0 - PEP 241
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metadata_version: str
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name: str
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version: str
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platforms: list[str]
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summary: str
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description: str
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keywords: list[str]
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home_page: str
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author: str
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author_email: str
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license: str
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# Metadata 1.1 - PEP 314
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supported_platforms: list[str]
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download_url: str
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classifiers: list[str]
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requires: list[str]
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provides: list[str]
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obsoletes: list[str]
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# Metadata 1.2 - PEP 345
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maintainer: str
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maintainer_email: str
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requires_dist: list[str]
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provides_dist: list[str]
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obsoletes_dist: list[str]
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requires_python: str
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requires_external: list[str]
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project_urls: dict[str, str]
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# Metadata 2.0
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# PEP 426 attempted to completely revamp the metadata format
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# but got stuck without ever being able to build consensus on
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# it and ultimately ended up withdrawn.
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#
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# However, a number of tools had started emitting METADATA with
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# `2.0` Metadata-Version, so for historical reasons, this version
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# was skipped.
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# Metadata 2.1 - PEP 566
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description_content_type: str
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provides_extra: list[str]
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# Metadata 2.2 - PEP 643
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dynamic: list[str]
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# Metadata 2.3 - PEP 685
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# No new fields were added in PEP 685, just some edge case were
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# tightened up to provide better interoptability.
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_STRING_FIELDS = {
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"author",
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"author_email",
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"description",
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"description_content_type",
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"download_url",
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"home_page",
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"license",
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"maintainer",
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"maintainer_email",
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"metadata_version",
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"name",
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"requires_python",
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"summary",
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"version",
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}
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_LIST_FIELDS = {
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"classifiers",
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"dynamic",
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"obsoletes",
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"obsoletes_dist",
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"platforms",
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"provides",
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"provides_dist",
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"provides_extra",
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"requires",
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"requires_dist",
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"requires_external",
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"supported_platforms",
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}
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_DICT_FIELDS = {
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"project_urls",
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}
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def _parse_keywords(data: str) -> list[str]:
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"""Split a string of comma-separate keyboards into a list of keywords."""
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return [k.strip() for k in data.split(",")]
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def _parse_project_urls(data: list[str]) -> dict[str, str]:
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"""Parse a list of label/URL string pairings separated by a comma."""
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urls = {}
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for pair in data:
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# Our logic is slightly tricky here as we want to try and do
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# *something* reasonable with malformed data.
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#
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# The main thing that we have to worry about, is data that does
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# not have a ',' at all to split the label from the Value. There
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# isn't a singular right answer here, and we will fail validation
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# later on (if the caller is validating) so it doesn't *really*
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# matter, but since the missing value has to be an empty str
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# and our return value is dict[str, str], if we let the key
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# be the missing value, then they'd have multiple '' values that
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# overwrite each other in a accumulating dict.
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#
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# The other potentional issue is that it's possible to have the
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# same label multiple times in the metadata, with no solid "right"
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# answer with what to do in that case. As such, we'll do the only
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# thing we can, which is treat the field as unparseable and add it
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# to our list of unparsed fields.
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parts = [p.strip() for p in pair.split(",", 1)]
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parts.extend([""] * (max(0, 2 - len(parts)))) # Ensure 2 items
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# TODO: The spec doesn't say anything about if the keys should be
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# considered case sensitive or not... logically they should
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# be case-preserving and case-insensitive, but doing that
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# would open up more cases where we might have duplicate
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# entries.
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label, url = parts
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if label in urls:
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# The label already exists in our set of urls, so this field
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# is unparseable, and we can just add the whole thing to our
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# unparseable data and stop processing it.
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raise KeyError("duplicate labels in project urls")
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urls[label] = url
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return urls
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def _get_payload(msg: email.message.Message, source: bytes | str) -> str:
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"""Get the body of the message."""
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# If our source is a str, then our caller has managed encodings for us,
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# and we don't need to deal with it.
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if isinstance(source, str):
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payload: str = msg.get_payload()
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return payload
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# If our source is a bytes, then we're managing the encoding and we need
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# to deal with it.
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else:
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bpayload: bytes = msg.get_payload(decode=True)
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try:
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return bpayload.decode("utf8", "strict")
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except UnicodeDecodeError:
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raise ValueError("payload in an invalid encoding")
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# The various parse_FORMAT functions here are intended to be as lenient as
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# possible in their parsing, while still returning a correctly typed
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# RawMetadata.
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#
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# To aid in this, we also generally want to do as little touching of the
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# data as possible, except where there are possibly some historic holdovers
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# that make valid data awkward to work with.
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#
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# While this is a lower level, intermediate format than our ``Metadata``
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# class, some light touch ups can make a massive difference in usability.
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# Map METADATA fields to RawMetadata.
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_EMAIL_TO_RAW_MAPPING = {
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"author": "author",
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"author-email": "author_email",
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"classifier": "classifiers",
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"description": "description",
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"description-content-type": "description_content_type",
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"download-url": "download_url",
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"dynamic": "dynamic",
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"home-page": "home_page",
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"keywords": "keywords",
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"license": "license",
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"maintainer": "maintainer",
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"maintainer-email": "maintainer_email",
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"metadata-version": "metadata_version",
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"name": "name",
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"obsoletes": "obsoletes",
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"obsoletes-dist": "obsoletes_dist",
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"platform": "platforms",
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"project-url": "project_urls",
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"provides": "provides",
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"provides-dist": "provides_dist",
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"provides-extra": "provides_extra",
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"requires": "requires",
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"requires-dist": "requires_dist",
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"requires-external": "requires_external",
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"requires-python": "requires_python",
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"summary": "summary",
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"supported-platform": "supported_platforms",
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"version": "version",
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}
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_RAW_TO_EMAIL_MAPPING = {raw: email for email, raw in _EMAIL_TO_RAW_MAPPING.items()}
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def parse_email(data: bytes | str) -> tuple[RawMetadata, dict[str, list[str]]]:
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"""Parse a distribution's metadata stored as email headers (e.g. from ``METADATA``).
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This function returns a two-item tuple of dicts. The first dict is of
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recognized fields from the core metadata specification. Fields that can be
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parsed and translated into Python's built-in types are converted
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appropriately. All other fields are left as-is. Fields that are allowed to
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appear multiple times are stored as lists.
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The second dict contains all other fields from the metadata. This includes
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any unrecognized fields. It also includes any fields which are expected to
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be parsed into a built-in type but were not formatted appropriately. Finally,
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any fields that are expected to appear only once but are repeated are
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included in this dict.
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"""
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raw: dict[str, str | list[str] | dict[str, str]] = {}
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unparsed: dict[str, list[str]] = {}
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if isinstance(data, str):
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parsed = email.parser.Parser(policy=email.policy.compat32).parsestr(data)
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else:
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parsed = email.parser.BytesParser(policy=email.policy.compat32).parsebytes(data)
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# We have to wrap parsed.keys() in a set, because in the case of multiple
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# values for a key (a list), the key will appear multiple times in the
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# list of keys, but we're avoiding that by using get_all().
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for name in frozenset(parsed.keys()):
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# Header names in RFC are case insensitive, so we'll normalize to all
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# lower case to make comparisons easier.
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name = name.lower()
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# We use get_all() here, even for fields that aren't multiple use,
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# because otherwise someone could have e.g. two Name fields, and we
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# would just silently ignore it rather than doing something about it.
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headers = parsed.get_all(name) or []
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# The way the email module works when parsing bytes is that it
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# unconditionally decodes the bytes as ascii using the surrogateescape
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# handler. When you pull that data back out (such as with get_all() ),
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# it looks to see if the str has any surrogate escapes, and if it does
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# it wraps it in a Header object instead of returning the string.
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#
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# As such, we'll look for those Header objects, and fix up the encoding.
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value = []
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# Flag if we have run into any issues processing the headers, thus
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# signalling that the data belongs in 'unparsed'.
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valid_encoding = True
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for h in headers:
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# It's unclear if this can return more types than just a Header or
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# a str, so we'll just assert here to make sure.
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assert isinstance(h, (email.header.Header, str))
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# If it's a header object, we need to do our little dance to get
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# the real data out of it. In cases where there is invalid data
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# we're going to end up with mojibake, but there's no obvious, good
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# way around that without reimplementing parts of the Header object
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# ourselves.
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#
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# That should be fine since, if mojibacked happens, this key is
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# going into the unparsed dict anyways.
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if isinstance(h, email.header.Header):
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# The Header object stores it's data as chunks, and each chunk
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# can be independently encoded, so we'll need to check each
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# of them.
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chunks: list[tuple[bytes, str | None]] = []
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for bin, encoding in email.header.decode_header(h):
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try:
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bin.decode("utf8", "strict")
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except UnicodeDecodeError:
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# Enable mojibake.
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encoding = "latin1"
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valid_encoding = False
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else:
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encoding = "utf8"
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chunks.append((bin, encoding))
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# Turn our chunks back into a Header object, then let that
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# Header object do the right thing to turn them into a
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# string for us.
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value.append(str(email.header.make_header(chunks)))
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# This is already a string, so just add it.
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else:
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value.append(h)
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# We've processed all of our values to get them into a list of str,
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# but we may have mojibake data, in which case this is an unparsed
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# field.
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if not valid_encoding:
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unparsed[name] = value
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continue
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raw_name = _EMAIL_TO_RAW_MAPPING.get(name)
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if raw_name is None:
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# This is a bit of a weird situation, we've encountered a key that
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# we don't know what it means, so we don't know whether it's meant
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# to be a list or not.
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#
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# Since we can't really tell one way or another, we'll just leave it
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# as a list, even though it may be a single item list, because that's
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# what makes the most sense for email headers.
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unparsed[name] = value
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continue
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# If this is one of our string fields, then we'll check to see if our
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# value is a list of a single item. If it is then we'll assume that
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# it was emitted as a single string, and unwrap the str from inside
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# the list.
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#
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# If it's any other kind of data, then we haven't the faintest clue
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# what we should parse it as, and we have to just add it to our list
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# of unparsed stuff.
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if raw_name in _STRING_FIELDS and len(value) == 1:
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raw[raw_name] = value[0]
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# If this is one of our list of string fields, then we can just assign
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# the value, since email *only* has strings, and our get_all() call
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# above ensures that this is a list.
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elif raw_name in _LIST_FIELDS:
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raw[raw_name] = value
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# Special Case: Keywords
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# The keywords field is implemented in the metadata spec as a str,
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# but it conceptually is a list of strings, and is serialized using
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# ", ".join(keywords), so we'll do some light data massaging to turn
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# this into what it logically is.
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elif raw_name == "keywords" and len(value) == 1:
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raw[raw_name] = _parse_keywords(value[0])
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# Special Case: Project-URL
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# The project urls is implemented in the metadata spec as a list of
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# specially-formatted strings that represent a key and a value, which
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# is fundamentally a mapping, however the email format doesn't support
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# mappings in a sane way, so it was crammed into a list of strings
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# instead.
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#
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# We will do a little light data massaging to turn this into a map as
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# it logically should be.
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elif raw_name == "project_urls":
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try:
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raw[raw_name] = _parse_project_urls(value)
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except KeyError:
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unparsed[name] = value
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# Nothing that we've done has managed to parse this, so it'll just
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# throw it in our unparseable data and move on.
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else:
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unparsed[name] = value
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# We need to support getting the Description from the message payload in
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# addition to getting it from the the headers. This does mean, though, there
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# is the possibility of it being set both ways, in which case we put both
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# in 'unparsed' since we don't know which is right.
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try:
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payload = _get_payload(parsed, data)
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except ValueError:
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unparsed.setdefault("description", []).append(
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parsed.get_payload(decode=isinstance(data, bytes))
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)
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else:
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if payload:
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# Check to see if we've already got a description, if so then both
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# it, and this body move to unparseable.
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if "description" in raw:
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description_header = cast(str, raw.pop("description"))
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unparsed.setdefault("description", []).extend(
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[description_header, payload]
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)
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elif "description" in unparsed:
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unparsed["description"].append(payload)
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else:
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raw["description"] = payload
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# We need to cast our `raw` to a metadata, because a TypedDict only support
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# literal key names, but we're computing our key names on purpose, but the
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# way this function is implemented, our `TypedDict` can only have valid key
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# names.
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return cast(RawMetadata, raw), unparsed
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_NOT_FOUND = object()
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# Keep the two values in sync.
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_VALID_METADATA_VERSIONS = ["1.0", "1.1", "1.2", "2.1", "2.2", "2.3"]
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_MetadataVersion = Literal["1.0", "1.1", "1.2", "2.1", "2.2", "2.3"]
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_REQUIRED_ATTRS = frozenset(["metadata_version", "name", "version"])
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class _Validator(Generic[T]):
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"""Validate a metadata field.
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All _process_*() methods correspond to a core metadata field. The method is
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called with the field's raw value. If the raw value is valid it is returned
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in its "enriched" form (e.g. ``version.Version`` for the ``Version`` field).
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If the raw value is invalid, :exc:`InvalidMetadata` is raised (with a cause
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as appropriate).
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"""
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name: str
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raw_name: str
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added: _MetadataVersion
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def __init__(
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self,
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*,
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added: _MetadataVersion = "1.0",
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) -> None:
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self.added = added
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def __set_name__(self, _owner: Metadata, name: str) -> None:
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self.name = name
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self.raw_name = _RAW_TO_EMAIL_MAPPING[name]
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def __get__(self, instance: Metadata, _owner: type[Metadata]) -> T:
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# With Python 3.8, the caching can be replaced with functools.cached_property().
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# No need to check the cache as attribute lookup will resolve into the
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# instance's __dict__ before __get__ is called.
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cache = instance.__dict__
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value = instance._raw.get(self.name)
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# To make the _process_* methods easier, we'll check if the value is None
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# and if this field is NOT a required attribute, and if both of those
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# things are true, we'll skip the the converter. This will mean that the
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# converters never have to deal with the None union.
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if self.name in _REQUIRED_ATTRS or value is not None:
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try:
|
|
converter: Callable[[Any], T] = getattr(self, f"_process_{self.name}")
|
|
except AttributeError:
|
|
pass
|
|
else:
|
|
value = converter(value)
|
|
|
|
cache[self.name] = value
|
|
try:
|
|
del instance._raw[self.name] # type: ignore[misc]
|
|
except KeyError:
|
|
pass
|
|
|
|
return cast(T, value)
|
|
|
|
def _invalid_metadata(
|
|
self, msg: str, cause: Exception | None = None
|
|
) -> InvalidMetadata:
|
|
exc = InvalidMetadata(
|
|
self.raw_name, msg.format_map({"field": repr(self.raw_name)})
|
|
)
|
|
exc.__cause__ = cause
|
|
return exc
|
|
|
|
def _process_metadata_version(self, value: str) -> _MetadataVersion:
|
|
# Implicitly makes Metadata-Version required.
|
|
if value not in _VALID_METADATA_VERSIONS:
|
|
raise self._invalid_metadata(f"{value!r} is not a valid metadata version")
|
|
return cast(_MetadataVersion, value)
|
|
|
|
def _process_name(self, value: str) -> str:
|
|
if not value:
|
|
raise self._invalid_metadata("{field} is a required field")
|
|
# Validate the name as a side-effect.
|
|
try:
|
|
utils.canonicalize_name(value, validate=True)
|
|
except utils.InvalidName as exc:
|
|
raise self._invalid_metadata(
|
|
f"{value!r} is invalid for {{field}}", cause=exc
|
|
)
|
|
else:
|
|
return value
|
|
|
|
def _process_version(self, value: str) -> version_module.Version:
|
|
if not value:
|
|
raise self._invalid_metadata("{field} is a required field")
|
|
try:
|
|
return version_module.parse(value)
|
|
except version_module.InvalidVersion as exc:
|
|
raise self._invalid_metadata(
|
|
f"{value!r} is invalid for {{field}}", cause=exc
|
|
)
|
|
|
|
def _process_summary(self, value: str) -> str:
|
|
"""Check the field contains no newlines."""
|
|
if "\n" in value:
|
|
raise self._invalid_metadata("{field} must be a single line")
|
|
return value
|
|
|
|
def _process_description_content_type(self, value: str) -> str:
|
|
content_types = {"text/plain", "text/x-rst", "text/markdown"}
|
|
message = email.message.EmailMessage()
|
|
message["content-type"] = value
|
|
|
|
content_type, parameters = (
|
|
# Defaults to `text/plain` if parsing failed.
|
|
message.get_content_type().lower(),
|
|
message["content-type"].params,
|
|
)
|
|
# Check if content-type is valid or defaulted to `text/plain` and thus was
|
|
# not parseable.
|
|
if content_type not in content_types or content_type not in value.lower():
|
|
raise self._invalid_metadata(
|
|
f"{{field}} must be one of {list(content_types)}, not {value!r}"
|
|
)
|
|
|
|
charset = parameters.get("charset", "UTF-8")
|
|
if charset != "UTF-8":
|
|
raise self._invalid_metadata(
|
|
f"{{field}} can only specify the UTF-8 charset, not {list(charset)}"
|
|
)
|
|
|
|
markdown_variants = {"GFM", "CommonMark"}
|
|
variant = parameters.get("variant", "GFM") # Use an acceptable default.
|
|
if content_type == "text/markdown" and variant not in markdown_variants:
|
|
raise self._invalid_metadata(
|
|
f"valid Markdown variants for {{field}} are {list(markdown_variants)}, "
|
|
f"not {variant!r}",
|
|
)
|
|
return value
|
|
|
|
def _process_dynamic(self, value: list[str]) -> list[str]:
|
|
for dynamic_field in map(str.lower, value):
|
|
if dynamic_field in {"name", "version", "metadata-version"}:
|
|
raise self._invalid_metadata(
|
|
f"{value!r} is not allowed as a dynamic field"
|
|
)
|
|
elif dynamic_field not in _EMAIL_TO_RAW_MAPPING:
|
|
raise self._invalid_metadata(f"{value!r} is not a valid dynamic field")
|
|
return list(map(str.lower, value))
|
|
|
|
def _process_provides_extra(
|
|
self,
|
|
value: list[str],
|
|
) -> list[utils.NormalizedName]:
|
|
normalized_names = []
|
|
try:
|
|
for name in value:
|
|
normalized_names.append(utils.canonicalize_name(name, validate=True))
|
|
except utils.InvalidName as exc:
|
|
raise self._invalid_metadata(
|
|
f"{name!r} is invalid for {{field}}", cause=exc
|
|
)
|
|
else:
|
|
return normalized_names
|
|
|
|
def _process_requires_python(self, value: str) -> specifiers.SpecifierSet:
|
|
try:
|
|
return specifiers.SpecifierSet(value)
|
|
except specifiers.InvalidSpecifier as exc:
|
|
raise self._invalid_metadata(
|
|
f"{value!r} is invalid for {{field}}", cause=exc
|
|
)
|
|
|
|
def _process_requires_dist(
|
|
self,
|
|
value: list[str],
|
|
) -> list[requirements.Requirement]:
|
|
reqs = []
|
|
try:
|
|
for req in value:
|
|
reqs.append(requirements.Requirement(req))
|
|
except requirements.InvalidRequirement as exc:
|
|
raise self._invalid_metadata(f"{req!r} is invalid for {{field}}", cause=exc)
|
|
else:
|
|
return reqs
|
|
|
|
|
|
class Metadata:
|
|
"""Representation of distribution metadata.
|
|
|
|
Compared to :class:`RawMetadata`, this class provides objects representing
|
|
metadata fields instead of only using built-in types. Any invalid metadata
|
|
will cause :exc:`InvalidMetadata` to be raised (with a
|
|
:py:attr:`~BaseException.__cause__` attribute as appropriate).
|
|
"""
|
|
|
|
_raw: RawMetadata
|
|
|
|
@classmethod
|
|
def from_raw(cls, data: RawMetadata, *, validate: bool = True) -> Metadata:
|
|
"""Create an instance from :class:`RawMetadata`.
|
|
|
|
If *validate* is true, all metadata will be validated. All exceptions
|
|
related to validation will be gathered and raised as an :class:`ExceptionGroup`.
|
|
"""
|
|
ins = cls()
|
|
ins._raw = data.copy() # Mutations occur due to caching enriched values.
|
|
|
|
if validate:
|
|
exceptions: list[Exception] = []
|
|
try:
|
|
metadata_version = ins.metadata_version
|
|
metadata_age = _VALID_METADATA_VERSIONS.index(metadata_version)
|
|
except InvalidMetadata as metadata_version_exc:
|
|
exceptions.append(metadata_version_exc)
|
|
metadata_version = None
|
|
|
|
# Make sure to check for the fields that are present, the required
|
|
# fields (so their absence can be reported).
|
|
fields_to_check = frozenset(ins._raw) | _REQUIRED_ATTRS
|
|
# Remove fields that have already been checked.
|
|
fields_to_check -= {"metadata_version"}
|
|
|
|
for key in fields_to_check:
|
|
try:
|
|
if metadata_version:
|
|
# Can't use getattr() as that triggers descriptor protocol which
|
|
# will fail due to no value for the instance argument.
|
|
try:
|
|
field_metadata_version = cls.__dict__[key].added
|
|
except KeyError:
|
|
exc = InvalidMetadata(key, f"unrecognized field: {key!r}")
|
|
exceptions.append(exc)
|
|
continue
|
|
field_age = _VALID_METADATA_VERSIONS.index(
|
|
field_metadata_version
|
|
)
|
|
if field_age > metadata_age:
|
|
field = _RAW_TO_EMAIL_MAPPING[key]
|
|
exc = InvalidMetadata(
|
|
field,
|
|
"{field} introduced in metadata version "
|
|
"{field_metadata_version}, not {metadata_version}",
|
|
)
|
|
exceptions.append(exc)
|
|
continue
|
|
getattr(ins, key)
|
|
except InvalidMetadata as exc:
|
|
exceptions.append(exc)
|
|
|
|
if exceptions:
|
|
raise ExceptionGroup("invalid metadata", exceptions)
|
|
|
|
return ins
|
|
|
|
@classmethod
|
|
def from_email(cls, data: bytes | str, *, validate: bool = True) -> Metadata:
|
|
"""Parse metadata from email headers.
|
|
|
|
If *validate* is true, the metadata will be validated. All exceptions
|
|
related to validation will be gathered and raised as an :class:`ExceptionGroup`.
|
|
"""
|
|
raw, unparsed = parse_email(data)
|
|
|
|
if validate:
|
|
exceptions: list[Exception] = []
|
|
for unparsed_key in unparsed:
|
|
if unparsed_key in _EMAIL_TO_RAW_MAPPING:
|
|
message = f"{unparsed_key!r} has invalid data"
|
|
else:
|
|
message = f"unrecognized field: {unparsed_key!r}"
|
|
exceptions.append(InvalidMetadata(unparsed_key, message))
|
|
|
|
if exceptions:
|
|
raise ExceptionGroup("unparsed", exceptions)
|
|
|
|
try:
|
|
return cls.from_raw(raw, validate=validate)
|
|
except ExceptionGroup as exc_group:
|
|
raise ExceptionGroup(
|
|
"invalid or unparsed metadata", exc_group.exceptions
|
|
) from None
|
|
|
|
metadata_version: _Validator[_MetadataVersion] = _Validator()
|
|
""":external:ref:`core-metadata-metadata-version`
|
|
(required; validated to be a valid metadata version)"""
|
|
name: _Validator[str] = _Validator()
|
|
""":external:ref:`core-metadata-name`
|
|
(required; validated using :func:`~packaging.utils.canonicalize_name` and its
|
|
*validate* parameter)"""
|
|
version: _Validator[version_module.Version] = _Validator()
|
|
""":external:ref:`core-metadata-version` (required)"""
|
|
dynamic: _Validator[list[str] | None] = _Validator(
|
|
added="2.2",
|
|
)
|
|
""":external:ref:`core-metadata-dynamic`
|
|
(validated against core metadata field names and lowercased)"""
|
|
platforms: _Validator[list[str] | None] = _Validator()
|
|
""":external:ref:`core-metadata-platform`"""
|
|
supported_platforms: _Validator[list[str] | None] = _Validator(added="1.1")
|
|
""":external:ref:`core-metadata-supported-platform`"""
|
|
summary: _Validator[str | None] = _Validator()
|
|
""":external:ref:`core-metadata-summary` (validated to contain no newlines)"""
|
|
description: _Validator[str | None] = _Validator() # TODO 2.1: can be in body
|
|
""":external:ref:`core-metadata-description`"""
|
|
description_content_type: _Validator[str | None] = _Validator(added="2.1")
|
|
""":external:ref:`core-metadata-description-content-type` (validated)"""
|
|
keywords: _Validator[list[str] | None] = _Validator()
|
|
""":external:ref:`core-metadata-keywords`"""
|
|
home_page: _Validator[str | None] = _Validator()
|
|
""":external:ref:`core-metadata-home-page`"""
|
|
download_url: _Validator[str | None] = _Validator(added="1.1")
|
|
""":external:ref:`core-metadata-download-url`"""
|
|
author: _Validator[str | None] = _Validator()
|
|
""":external:ref:`core-metadata-author`"""
|
|
author_email: _Validator[str | None] = _Validator()
|
|
""":external:ref:`core-metadata-author-email`"""
|
|
maintainer: _Validator[str | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-maintainer`"""
|
|
maintainer_email: _Validator[str | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-maintainer-email`"""
|
|
license: _Validator[str | None] = _Validator()
|
|
""":external:ref:`core-metadata-license`"""
|
|
classifiers: _Validator[list[str] | None] = _Validator(added="1.1")
|
|
""":external:ref:`core-metadata-classifier`"""
|
|
requires_dist: _Validator[list[requirements.Requirement] | None] = _Validator(
|
|
added="1.2"
|
|
)
|
|
""":external:ref:`core-metadata-requires-dist`"""
|
|
requires_python: _Validator[specifiers.SpecifierSet | None] = _Validator(
|
|
added="1.2"
|
|
)
|
|
""":external:ref:`core-metadata-requires-python`"""
|
|
# Because `Requires-External` allows for non-PEP 440 version specifiers, we
|
|
# don't do any processing on the values.
|
|
requires_external: _Validator[list[str] | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-requires-external`"""
|
|
project_urls: _Validator[dict[str, str] | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-project-url`"""
|
|
# PEP 685 lets us raise an error if an extra doesn't pass `Name` validation
|
|
# regardless of metadata version.
|
|
provides_extra: _Validator[list[utils.NormalizedName] | None] = _Validator(
|
|
added="2.1",
|
|
)
|
|
""":external:ref:`core-metadata-provides-extra`"""
|
|
provides_dist: _Validator[list[str] | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-provides-dist`"""
|
|
obsoletes_dist: _Validator[list[str] | None] = _Validator(added="1.2")
|
|
""":external:ref:`core-metadata-obsoletes-dist`"""
|
|
requires: _Validator[list[str] | None] = _Validator(added="1.1")
|
|
"""``Requires`` (deprecated)"""
|
|
provides: _Validator[list[str] | None] = _Validator(added="1.1")
|
|
"""``Provides`` (deprecated)"""
|
|
obsoletes: _Validator[list[str] | None] = _Validator(added="1.1")
|
|
"""``Obsoletes`` (deprecated)"""
|