363 lines
12 KiB
Python
363 lines
12 KiB
Python
"""Bucket of reusable internal utilities.
|
|
|
|
This should be reduced as much as possible with functions only used in one place, moved to that place.
|
|
"""
|
|
from __future__ import annotations as _annotations
|
|
|
|
import dataclasses
|
|
import keyword
|
|
import typing
|
|
import weakref
|
|
from collections import OrderedDict, defaultdict, deque
|
|
from copy import deepcopy
|
|
from itertools import zip_longest
|
|
from types import BuiltinFunctionType, CodeType, FunctionType, GeneratorType, LambdaType, ModuleType
|
|
from typing import Any, Mapping, TypeVar
|
|
|
|
from typing_extensions import TypeAlias, TypeGuard
|
|
|
|
from . import _repr, _typing_extra
|
|
|
|
if typing.TYPE_CHECKING:
|
|
MappingIntStrAny: TypeAlias = 'typing.Mapping[int, Any] | typing.Mapping[str, Any]'
|
|
AbstractSetIntStr: TypeAlias = 'typing.AbstractSet[int] | typing.AbstractSet[str]'
|
|
from ..main import BaseModel
|
|
|
|
|
|
# these are types that are returned unchanged by deepcopy
|
|
IMMUTABLE_NON_COLLECTIONS_TYPES: set[type[Any]] = {
|
|
int,
|
|
float,
|
|
complex,
|
|
str,
|
|
bool,
|
|
bytes,
|
|
type,
|
|
_typing_extra.NoneType,
|
|
FunctionType,
|
|
BuiltinFunctionType,
|
|
LambdaType,
|
|
weakref.ref,
|
|
CodeType,
|
|
# note: including ModuleType will differ from behaviour of deepcopy by not producing error.
|
|
# It might be not a good idea in general, but considering that this function used only internally
|
|
# against default values of fields, this will allow to actually have a field with module as default value
|
|
ModuleType,
|
|
NotImplemented.__class__,
|
|
Ellipsis.__class__,
|
|
}
|
|
|
|
# these are types that if empty, might be copied with simple copy() instead of deepcopy()
|
|
BUILTIN_COLLECTIONS: set[type[Any]] = {
|
|
list,
|
|
set,
|
|
tuple,
|
|
frozenset,
|
|
dict,
|
|
OrderedDict,
|
|
defaultdict,
|
|
deque,
|
|
}
|
|
|
|
|
|
def sequence_like(v: Any) -> bool:
|
|
return isinstance(v, (list, tuple, set, frozenset, GeneratorType, deque))
|
|
|
|
|
|
def lenient_isinstance(o: Any, class_or_tuple: type[Any] | tuple[type[Any], ...] | None) -> bool: # pragma: no cover
|
|
try:
|
|
return isinstance(o, class_or_tuple) # type: ignore[arg-type]
|
|
except TypeError:
|
|
return False
|
|
|
|
|
|
def lenient_issubclass(cls: Any, class_or_tuple: Any) -> bool: # pragma: no cover
|
|
try:
|
|
return isinstance(cls, type) and issubclass(cls, class_or_tuple)
|
|
except TypeError:
|
|
if isinstance(cls, _typing_extra.WithArgsTypes):
|
|
return False
|
|
raise # pragma: no cover
|
|
|
|
|
|
def is_model_class(cls: Any) -> TypeGuard[type[BaseModel]]:
|
|
"""Returns true if cls is a _proper_ subclass of BaseModel, and provides proper type-checking,
|
|
unlike raw calls to lenient_issubclass.
|
|
"""
|
|
from ..main import BaseModel
|
|
|
|
return lenient_issubclass(cls, BaseModel) and cls is not BaseModel
|
|
|
|
|
|
def is_valid_identifier(identifier: str) -> bool:
|
|
"""Checks that a string is a valid identifier and not a Python keyword.
|
|
:param identifier: The identifier to test.
|
|
:return: True if the identifier is valid.
|
|
"""
|
|
return identifier.isidentifier() and not keyword.iskeyword(identifier)
|
|
|
|
|
|
KeyType = TypeVar('KeyType')
|
|
|
|
|
|
def deep_update(mapping: dict[KeyType, Any], *updating_mappings: dict[KeyType, Any]) -> dict[KeyType, Any]:
|
|
updated_mapping = mapping.copy()
|
|
for updating_mapping in updating_mappings:
|
|
for k, v in updating_mapping.items():
|
|
if k in updated_mapping and isinstance(updated_mapping[k], dict) and isinstance(v, dict):
|
|
updated_mapping[k] = deep_update(updated_mapping[k], v)
|
|
else:
|
|
updated_mapping[k] = v
|
|
return updated_mapping
|
|
|
|
|
|
def update_not_none(mapping: dict[Any, Any], **update: Any) -> None:
|
|
mapping.update({k: v for k, v in update.items() if v is not None})
|
|
|
|
|
|
T = TypeVar('T')
|
|
|
|
|
|
def unique_list(
|
|
input_list: list[T] | tuple[T, ...],
|
|
*,
|
|
name_factory: typing.Callable[[T], str] = str,
|
|
) -> list[T]:
|
|
"""Make a list unique while maintaining order.
|
|
We update the list if another one with the same name is set
|
|
(e.g. model validator overridden in subclass).
|
|
"""
|
|
result: list[T] = []
|
|
result_names: list[str] = []
|
|
for v in input_list:
|
|
v_name = name_factory(v)
|
|
if v_name not in result_names:
|
|
result_names.append(v_name)
|
|
result.append(v)
|
|
else:
|
|
result[result_names.index(v_name)] = v
|
|
|
|
return result
|
|
|
|
|
|
class ValueItems(_repr.Representation):
|
|
"""Class for more convenient calculation of excluded or included fields on values."""
|
|
|
|
__slots__ = ('_items', '_type')
|
|
|
|
def __init__(self, value: Any, items: AbstractSetIntStr | MappingIntStrAny) -> None:
|
|
items = self._coerce_items(items)
|
|
|
|
if isinstance(value, (list, tuple)):
|
|
items = self._normalize_indexes(items, len(value)) # type: ignore
|
|
|
|
self._items: MappingIntStrAny = items # type: ignore
|
|
|
|
def is_excluded(self, item: Any) -> bool:
|
|
"""Check if item is fully excluded.
|
|
|
|
:param item: key or index of a value
|
|
"""
|
|
return self.is_true(self._items.get(item))
|
|
|
|
def is_included(self, item: Any) -> bool:
|
|
"""Check if value is contained in self._items.
|
|
|
|
:param item: key or index of value
|
|
"""
|
|
return item in self._items
|
|
|
|
def for_element(self, e: int | str) -> AbstractSetIntStr | MappingIntStrAny | None:
|
|
""":param e: key or index of element on value
|
|
:return: raw values for element if self._items is dict and contain needed element
|
|
"""
|
|
item = self._items.get(e) # type: ignore
|
|
return item if not self.is_true(item) else None
|
|
|
|
def _normalize_indexes(self, items: MappingIntStrAny, v_length: int) -> dict[int | str, Any]:
|
|
""":param items: dict or set of indexes which will be normalized
|
|
:param v_length: length of sequence indexes of which will be
|
|
|
|
>>> self._normalize_indexes({0: True, -2: True, -1: True}, 4)
|
|
{0: True, 2: True, 3: True}
|
|
>>> self._normalize_indexes({'__all__': True}, 4)
|
|
{0: True, 1: True, 2: True, 3: True}
|
|
"""
|
|
normalized_items: dict[int | str, Any] = {}
|
|
all_items = None
|
|
for i, v in items.items():
|
|
if not (isinstance(v, typing.Mapping) or isinstance(v, typing.AbstractSet) or self.is_true(v)):
|
|
raise TypeError(f'Unexpected type of exclude value for index "{i}" {v.__class__}')
|
|
if i == '__all__':
|
|
all_items = self._coerce_value(v)
|
|
continue
|
|
if not isinstance(i, int):
|
|
raise TypeError(
|
|
'Excluding fields from a sequence of sub-models or dicts must be performed index-wise: '
|
|
'expected integer keys or keyword "__all__"'
|
|
)
|
|
normalized_i = v_length + i if i < 0 else i
|
|
normalized_items[normalized_i] = self.merge(v, normalized_items.get(normalized_i))
|
|
|
|
if not all_items:
|
|
return normalized_items
|
|
if self.is_true(all_items):
|
|
for i in range(v_length):
|
|
normalized_items.setdefault(i, ...)
|
|
return normalized_items
|
|
for i in range(v_length):
|
|
normalized_item = normalized_items.setdefault(i, {})
|
|
if not self.is_true(normalized_item):
|
|
normalized_items[i] = self.merge(all_items, normalized_item)
|
|
return normalized_items
|
|
|
|
@classmethod
|
|
def merge(cls, base: Any, override: Any, intersect: bool = False) -> Any:
|
|
"""Merge a `base` item with an `override` item.
|
|
|
|
Both `base` and `override` are converted to dictionaries if possible.
|
|
Sets are converted to dictionaries with the sets entries as keys and
|
|
Ellipsis as values.
|
|
|
|
Each key-value pair existing in `base` is merged with `override`,
|
|
while the rest of the key-value pairs are updated recursively with this function.
|
|
|
|
Merging takes place based on the "union" of keys if `intersect` is
|
|
set to `False` (default) and on the intersection of keys if
|
|
`intersect` is set to `True`.
|
|
"""
|
|
override = cls._coerce_value(override)
|
|
base = cls._coerce_value(base)
|
|
if override is None:
|
|
return base
|
|
if cls.is_true(base) or base is None:
|
|
return override
|
|
if cls.is_true(override):
|
|
return base if intersect else override
|
|
|
|
# intersection or union of keys while preserving ordering:
|
|
if intersect:
|
|
merge_keys = [k for k in base if k in override] + [k for k in override if k in base]
|
|
else:
|
|
merge_keys = list(base) + [k for k in override if k not in base]
|
|
|
|
merged: dict[int | str, Any] = {}
|
|
for k in merge_keys:
|
|
merged_item = cls.merge(base.get(k), override.get(k), intersect=intersect)
|
|
if merged_item is not None:
|
|
merged[k] = merged_item
|
|
|
|
return merged
|
|
|
|
@staticmethod
|
|
def _coerce_items(items: AbstractSetIntStr | MappingIntStrAny) -> MappingIntStrAny:
|
|
if isinstance(items, typing.Mapping):
|
|
pass
|
|
elif isinstance(items, typing.AbstractSet):
|
|
items = dict.fromkeys(items, ...) # type: ignore
|
|
else:
|
|
class_name = getattr(items, '__class__', '???')
|
|
raise TypeError(f'Unexpected type of exclude value {class_name}')
|
|
return items # type: ignore
|
|
|
|
@classmethod
|
|
def _coerce_value(cls, value: Any) -> Any:
|
|
if value is None or cls.is_true(value):
|
|
return value
|
|
return cls._coerce_items(value)
|
|
|
|
@staticmethod
|
|
def is_true(v: Any) -> bool:
|
|
return v is True or v is ...
|
|
|
|
def __repr_args__(self) -> _repr.ReprArgs:
|
|
return [(None, self._items)]
|
|
|
|
|
|
if typing.TYPE_CHECKING:
|
|
|
|
def ClassAttribute(name: str, value: T) -> T:
|
|
...
|
|
|
|
else:
|
|
|
|
class ClassAttribute:
|
|
"""Hide class attribute from its instances."""
|
|
|
|
__slots__ = 'name', 'value'
|
|
|
|
def __init__(self, name: str, value: Any) -> None:
|
|
self.name = name
|
|
self.value = value
|
|
|
|
def __get__(self, instance: Any, owner: type[Any]) -> None:
|
|
if instance is None:
|
|
return self.value
|
|
raise AttributeError(f'{self.name!r} attribute of {owner.__name__!r} is class-only')
|
|
|
|
|
|
Obj = TypeVar('Obj')
|
|
|
|
|
|
def smart_deepcopy(obj: Obj) -> Obj:
|
|
"""Return type as is for immutable built-in types
|
|
Use obj.copy() for built-in empty collections
|
|
Use copy.deepcopy() for non-empty collections and unknown objects.
|
|
"""
|
|
obj_type = obj.__class__
|
|
if obj_type in IMMUTABLE_NON_COLLECTIONS_TYPES:
|
|
return obj # fastest case: obj is immutable and not collection therefore will not be copied anyway
|
|
try:
|
|
if not obj and obj_type in BUILTIN_COLLECTIONS:
|
|
# faster way for empty collections, no need to copy its members
|
|
return obj if obj_type is tuple else obj.copy() # tuple doesn't have copy method # type: ignore
|
|
except (TypeError, ValueError, RuntimeError):
|
|
# do we really dare to catch ALL errors? Seems a bit risky
|
|
pass
|
|
|
|
return deepcopy(obj) # slowest way when we actually might need a deepcopy
|
|
|
|
|
|
_SENTINEL = object()
|
|
|
|
|
|
def all_identical(left: typing.Iterable[Any], right: typing.Iterable[Any]) -> bool:
|
|
"""Check that the items of `left` are the same objects as those in `right`.
|
|
|
|
>>> a, b = object(), object()
|
|
>>> all_identical([a, b, a], [a, b, a])
|
|
True
|
|
>>> all_identical([a, b, [a]], [a, b, [a]]) # new list object, while "equal" is not "identical"
|
|
False
|
|
"""
|
|
for left_item, right_item in zip_longest(left, right, fillvalue=_SENTINEL):
|
|
if left_item is not right_item:
|
|
return False
|
|
return True
|
|
|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class SafeGetItemProxy:
|
|
"""Wrapper redirecting `__getitem__` to `get` with a sentinel value as default
|
|
|
|
This makes is safe to use in `operator.itemgetter` when some keys may be missing
|
|
"""
|
|
|
|
# Define __slots__manually for performances
|
|
# @dataclasses.dataclass() only support slots=True in python>=3.10
|
|
__slots__ = ('wrapped',)
|
|
|
|
wrapped: Mapping[str, Any]
|
|
|
|
def __getitem__(self, key: str, /) -> Any:
|
|
return self.wrapped.get(key, _SENTINEL)
|
|
|
|
# required to pass the object to operator.itemgetter() instances due to a quirk of typeshed
|
|
# https://github.com/python/mypy/issues/13713
|
|
# https://github.com/python/typeshed/pull/8785
|
|
# Since this is typing-only, hide it in a typing.TYPE_CHECKING block
|
|
if typing.TYPE_CHECKING:
|
|
|
|
def __contains__(self, key: str, /) -> bool:
|
|
return self.wrapped.__contains__(key)
|