plexpy/lib/pydantic/_internal/_typing_extra.py
2024-03-24 17:55:28 -07:00

470 lines
18 KiB
Python

"""Logic for interacting with type annotations, mostly extensions, shims and hacks to wrap python's typing module."""
from __future__ import annotations as _annotations
import dataclasses
import sys
import types
import typing
from collections.abc import Callable
from functools import partial
from types import GetSetDescriptorType
from typing import TYPE_CHECKING, Any, Final
from typing_extensions import Annotated, Literal, TypeAliasType, TypeGuard, get_args, get_origin
if TYPE_CHECKING:
from ._dataclasses import StandardDataclass
try:
from typing import _TypingBase # type: ignore[attr-defined]
except ImportError:
from typing import _Final as _TypingBase # type: ignore[attr-defined]
typing_base = _TypingBase
if sys.version_info < (3, 9):
# python < 3.9 does not have GenericAlias (list[int], tuple[str, ...] and so on)
TypingGenericAlias = ()
else:
from typing import GenericAlias as TypingGenericAlias # type: ignore
if sys.version_info < (3, 11):
from typing_extensions import NotRequired, Required
else:
from typing import NotRequired, Required # noqa: F401
if sys.version_info < (3, 10):
def origin_is_union(tp: type[Any] | None) -> bool:
return tp is typing.Union
WithArgsTypes = (TypingGenericAlias,)
else:
def origin_is_union(tp: type[Any] | None) -> bool:
return tp is typing.Union or tp is types.UnionType
WithArgsTypes = typing._GenericAlias, types.GenericAlias, types.UnionType # type: ignore[attr-defined]
if sys.version_info < (3, 10):
NoneType = type(None)
EllipsisType = type(Ellipsis)
else:
from types import NoneType as NoneType
LITERAL_TYPES: set[Any] = {Literal}
if hasattr(typing, 'Literal'):
LITERAL_TYPES.add(typing.Literal) # type: ignore
NONE_TYPES: tuple[Any, ...] = (None, NoneType, *(tp[None] for tp in LITERAL_TYPES))
TypeVarType = Any # since mypy doesn't allow the use of TypeVar as a type
def is_none_type(type_: Any) -> bool:
return type_ in NONE_TYPES
def is_callable_type(type_: type[Any]) -> bool:
return type_ is Callable or get_origin(type_) is Callable
def is_literal_type(type_: type[Any]) -> bool:
return Literal is not None and get_origin(type_) in LITERAL_TYPES
def literal_values(type_: type[Any]) -> tuple[Any, ...]:
return get_args(type_)
def all_literal_values(type_: type[Any]) -> list[Any]:
"""This method is used to retrieve all Literal values as
Literal can be used recursively (see https://www.python.org/dev/peps/pep-0586)
e.g. `Literal[Literal[Literal[1, 2, 3], "foo"], 5, None]`.
"""
if not is_literal_type(type_):
return [type_]
values = literal_values(type_)
return list(x for value in values for x in all_literal_values(value))
def is_annotated(ann_type: Any) -> bool:
from ._utils import lenient_issubclass
origin = get_origin(ann_type)
return origin is not None and lenient_issubclass(origin, Annotated)
def is_namedtuple(type_: type[Any]) -> bool:
"""Check if a given class is a named tuple.
It can be either a `typing.NamedTuple` or `collections.namedtuple`.
"""
from ._utils import lenient_issubclass
return lenient_issubclass(type_, tuple) and hasattr(type_, '_fields')
test_new_type = typing.NewType('test_new_type', str)
def is_new_type(type_: type[Any]) -> bool:
"""Check whether type_ was created using typing.NewType.
Can't use isinstance because it fails <3.10.
"""
return isinstance(type_, test_new_type.__class__) and hasattr(type_, '__supertype__') # type: ignore[arg-type]
def _check_classvar(v: type[Any] | None) -> bool:
if v is None:
return False
return v.__class__ == typing.ClassVar.__class__ and getattr(v, '_name', None) == 'ClassVar'
def is_classvar(ann_type: type[Any]) -> bool:
if _check_classvar(ann_type) or _check_classvar(get_origin(ann_type)):
return True
# this is an ugly workaround for class vars that contain forward references and are therefore themselves
# forward references, see #3679
if ann_type.__class__ == typing.ForwardRef and ann_type.__forward_arg__.startswith('ClassVar['): # type: ignore
return True
return False
def _check_finalvar(v: type[Any] | None) -> bool:
"""Check if a given type is a `typing.Final` type."""
if v is None:
return False
return v.__class__ == Final.__class__ and (sys.version_info < (3, 8) or getattr(v, '_name', None) == 'Final')
def is_finalvar(ann_type: Any) -> bool:
return _check_finalvar(ann_type) or _check_finalvar(get_origin(ann_type))
def parent_frame_namespace(*, parent_depth: int = 2) -> dict[str, Any] | None:
"""We allow use of items in parent namespace to get around the issue with `get_type_hints` only looking in the
global module namespace. See https://github.com/pydantic/pydantic/issues/2678#issuecomment-1008139014 -> Scope
and suggestion at the end of the next comment by @gvanrossum.
WARNING 1: it matters exactly where this is called. By default, this function will build a namespace from the
parent of where it is called.
WARNING 2: this only looks in the parent namespace, not other parents since (AFAIK) there's no way to collect a
dict of exactly what's in scope. Using `f_back` would work sometimes but would be very wrong and confusing in many
other cases. See https://discuss.python.org/t/is-there-a-way-to-access-parent-nested-namespaces/20659.
"""
frame = sys._getframe(parent_depth)
# if f_back is None, it's the global module namespace and we don't need to include it here
if frame.f_back is None:
return None
else:
return frame.f_locals
def add_module_globals(obj: Any, globalns: dict[str, Any] | None = None) -> dict[str, Any]:
module_name = getattr(obj, '__module__', None)
if module_name:
try:
module_globalns = sys.modules[module_name].__dict__
except KeyError:
# happens occasionally, see https://github.com/pydantic/pydantic/issues/2363
pass
else:
if globalns:
return {**module_globalns, **globalns}
else:
# copy module globals to make sure it can't be updated later
return module_globalns.copy()
return globalns or {}
def get_cls_types_namespace(cls: type[Any], parent_namespace: dict[str, Any] | None = None) -> dict[str, Any]:
ns = add_module_globals(cls, parent_namespace)
ns[cls.__name__] = cls
return ns
def get_cls_type_hints_lenient(obj: Any, globalns: dict[str, Any] | None = None) -> dict[str, Any]:
"""Collect annotations from a class, including those from parent classes.
Unlike `typing.get_type_hints`, this function will not error if a forward reference is not resolvable.
"""
hints = {}
for base in reversed(obj.__mro__):
ann = base.__dict__.get('__annotations__')
localns = dict(vars(base))
if ann is not None and ann is not GetSetDescriptorType:
for name, value in ann.items():
hints[name] = eval_type_lenient(value, globalns, localns)
return hints
def eval_type_lenient(value: Any, globalns: dict[str, Any] | None = None, localns: dict[str, Any] | None = None) -> Any:
"""Behaves like typing._eval_type, except it won't raise an error if a forward reference can't be resolved."""
if value is None:
value = NoneType
elif isinstance(value, str):
value = _make_forward_ref(value, is_argument=False, is_class=True)
try:
return eval_type_backport(value, globalns, localns)
except NameError:
# the point of this function is to be tolerant to this case
return value
def eval_type_backport(
value: Any, globalns: dict[str, Any] | None = None, localns: dict[str, Any] | None = None
) -> Any:
"""Like `typing._eval_type`, but falls back to the `eval_type_backport` package if it's
installed to let older Python versions use newer typing features.
Specifically, this transforms `X | Y` into `typing.Union[X, Y]`
and `list[X]` into `typing.List[X]` etc. (for all the types made generic in PEP 585)
if the original syntax is not supported in the current Python version.
"""
try:
return typing._eval_type( # type: ignore
value, globalns, localns
)
except TypeError as e:
if not (isinstance(value, typing.ForwardRef) and is_backport_fixable_error(e)):
raise
try:
from eval_type_backport import eval_type_backport
except ImportError:
raise TypeError(
f'You have a type annotation {value.__forward_arg__!r} '
f'which makes use of newer typing features than are supported in your version of Python. '
f'To handle this error, you should either remove the use of new syntax '
f'or install the `eval_type_backport` package.'
) from e
return eval_type_backport(value, globalns, localns, try_default=False)
def is_backport_fixable_error(e: TypeError) -> bool:
msg = str(e)
return msg.startswith('unsupported operand type(s) for |: ') or "' object is not subscriptable" in msg
def get_function_type_hints(
function: Callable[..., Any], *, include_keys: set[str] | None = None, types_namespace: dict[str, Any] | None = None
) -> dict[str, Any]:
"""Like `typing.get_type_hints`, but doesn't convert `X` to `Optional[X]` if the default value is `None`, also
copes with `partial`.
"""
if isinstance(function, partial):
annotations = function.func.__annotations__
else:
annotations = function.__annotations__
globalns = add_module_globals(function)
type_hints = {}
for name, value in annotations.items():
if include_keys is not None and name not in include_keys:
continue
if value is None:
value = NoneType
elif isinstance(value, str):
value = _make_forward_ref(value)
type_hints[name] = eval_type_backport(value, globalns, types_namespace)
return type_hints
if sys.version_info < (3, 9, 8) or (3, 10) <= sys.version_info < (3, 10, 1):
def _make_forward_ref(
arg: Any,
is_argument: bool = True,
*,
is_class: bool = False,
) -> typing.ForwardRef:
"""Wrapper for ForwardRef that accounts for the `is_class` argument missing in older versions.
The `module` argument is omitted as it breaks <3.9.8, =3.10.0 and isn't used in the calls below.
See https://github.com/python/cpython/pull/28560 for some background.
The backport happened on 3.9.8, see:
https://github.com/pydantic/pydantic/discussions/6244#discussioncomment-6275458,
and on 3.10.1 for the 3.10 branch, see:
https://github.com/pydantic/pydantic/issues/6912
Implemented as EAFP with memory.
"""
return typing.ForwardRef(arg, is_argument)
else:
_make_forward_ref = typing.ForwardRef
if sys.version_info >= (3, 10):
get_type_hints = typing.get_type_hints
else:
"""
For older versions of python, we have a custom implementation of `get_type_hints` which is a close as possible to
the implementation in CPython 3.10.8.
"""
@typing.no_type_check
def get_type_hints( # noqa: C901
obj: Any,
globalns: dict[str, Any] | None = None,
localns: dict[str, Any] | None = None,
include_extras: bool = False,
) -> dict[str, Any]: # pragma: no cover
"""Taken verbatim from python 3.10.8 unchanged, except:
* type annotations of the function definition above.
* prefixing `typing.` where appropriate
* Use `_make_forward_ref` instead of `typing.ForwardRef` to handle the `is_class` argument.
https://github.com/python/cpython/blob/aaaf5174241496afca7ce4d4584570190ff972fe/Lib/typing.py#L1773-L1875
DO NOT CHANGE THIS METHOD UNLESS ABSOLUTELY NECESSARY.
======================================================
Return type hints for an object.
This is often the same as obj.__annotations__, but it handles
forward references encoded as string literals, adds Optional[t] if a
default value equal to None is set and recursively replaces all
'Annotated[T, ...]' with 'T' (unless 'include_extras=True').
The argument may be a module, class, method, or function. The annotations
are returned as a dictionary. For classes, annotations include also
inherited members.
TypeError is raised if the argument is not of a type that can contain
annotations, and an empty dictionary is returned if no annotations are
present.
BEWARE -- the behavior of globalns and localns is counterintuitive
(unless you are familiar with how eval() and exec() work). The
search order is locals first, then globals.
- If no dict arguments are passed, an attempt is made to use the
globals from obj (or the respective module's globals for classes),
and these are also used as the locals. If the object does not appear
to have globals, an empty dictionary is used. For classes, the search
order is globals first then locals.
- If one dict argument is passed, it is used for both globals and
locals.
- If two dict arguments are passed, they specify globals and
locals, respectively.
"""
if getattr(obj, '__no_type_check__', None):
return {}
# Classes require a special treatment.
if isinstance(obj, type):
hints = {}
for base in reversed(obj.__mro__):
if globalns is None:
base_globals = getattr(sys.modules.get(base.__module__, None), '__dict__', {})
else:
base_globals = globalns
ann = base.__dict__.get('__annotations__', {})
if isinstance(ann, types.GetSetDescriptorType):
ann = {}
base_locals = dict(vars(base)) if localns is None else localns
if localns is None and globalns is None:
# This is surprising, but required. Before Python 3.10,
# get_type_hints only evaluated the globalns of
# a class. To maintain backwards compatibility, we reverse
# the globalns and localns order so that eval() looks into
# *base_globals* first rather than *base_locals*.
# This only affects ForwardRefs.
base_globals, base_locals = base_locals, base_globals
for name, value in ann.items():
if value is None:
value = type(None)
if isinstance(value, str):
value = _make_forward_ref(value, is_argument=False, is_class=True)
value = eval_type_backport(value, base_globals, base_locals)
hints[name] = value
if not include_extras and hasattr(typing, '_strip_annotations'):
return {
k: typing._strip_annotations(t) # type: ignore
for k, t in hints.items()
}
else:
return hints
if globalns is None:
if isinstance(obj, types.ModuleType):
globalns = obj.__dict__
else:
nsobj = obj
# Find globalns for the unwrapped object.
while hasattr(nsobj, '__wrapped__'):
nsobj = nsobj.__wrapped__
globalns = getattr(nsobj, '__globals__', {})
if localns is None:
localns = globalns
elif localns is None:
localns = globalns
hints = getattr(obj, '__annotations__', None)
if hints is None:
# Return empty annotations for something that _could_ have them.
if isinstance(obj, typing._allowed_types): # type: ignore
return {}
else:
raise TypeError(f'{obj!r} is not a module, class, method, ' 'or function.')
defaults = typing._get_defaults(obj) # type: ignore
hints = dict(hints)
for name, value in hints.items():
if value is None:
value = type(None)
if isinstance(value, str):
# class-level forward refs were handled above, this must be either
# a module-level annotation or a function argument annotation
value = _make_forward_ref(
value,
is_argument=not isinstance(obj, types.ModuleType),
is_class=False,
)
value = eval_type_backport(value, globalns, localns)
if name in defaults and defaults[name] is None:
value = typing.Optional[value]
hints[name] = value
return hints if include_extras else {k: typing._strip_annotations(t) for k, t in hints.items()} # type: ignore
def is_dataclass(_cls: type[Any]) -> TypeGuard[type[StandardDataclass]]:
# The dataclasses.is_dataclass function doesn't seem to provide TypeGuard functionality,
# so I created this convenience function
return dataclasses.is_dataclass(_cls)
def origin_is_type_alias_type(origin: Any) -> TypeGuard[TypeAliasType]:
return isinstance(origin, TypeAliasType)
if sys.version_info >= (3, 10):
def is_generic_alias(type_: type[Any]) -> bool:
return isinstance(type_, (types.GenericAlias, typing._GenericAlias)) # type: ignore[attr-defined]
else:
def is_generic_alias(type_: type[Any]) -> bool:
return isinstance(type_, typing._GenericAlias) # type: ignore