You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
766 lines
21 KiB
766 lines
21 KiB
import math
|
|
import re
|
|
from collections import OrderedDict, deque
|
|
from collections.abc import Hashable as CollectionsHashable
|
|
from datetime import date, datetime, time, timedelta
|
|
from decimal import Decimal, DecimalException
|
|
from enum import Enum, IntEnum
|
|
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
|
|
from pathlib import Path
|
|
from typing import (
|
|
TYPE_CHECKING,
|
|
Any,
|
|
Callable,
|
|
Deque,
|
|
Dict,
|
|
ForwardRef,
|
|
FrozenSet,
|
|
Generator,
|
|
Hashable,
|
|
List,
|
|
NamedTuple,
|
|
Pattern,
|
|
Set,
|
|
Tuple,
|
|
Type,
|
|
TypeVar,
|
|
Union,
|
|
)
|
|
from uuid import UUID
|
|
|
|
from . import errors
|
|
from .datetime_parse import parse_date, parse_datetime, parse_duration, parse_time
|
|
from .typing import (
|
|
AnyCallable,
|
|
all_literal_values,
|
|
display_as_type,
|
|
get_class,
|
|
is_callable_type,
|
|
is_literal_type,
|
|
is_namedtuple,
|
|
is_none_type,
|
|
is_typeddict,
|
|
)
|
|
from .utils import almost_equal_floats, lenient_issubclass, sequence_like
|
|
|
|
if TYPE_CHECKING:
|
|
from typing_extensions import Literal, TypedDict
|
|
|
|
from .config import BaseConfig
|
|
from .fields import ModelField
|
|
from .types import ConstrainedDecimal, ConstrainedFloat, ConstrainedInt
|
|
|
|
ConstrainedNumber = Union[ConstrainedDecimal, ConstrainedFloat, ConstrainedInt]
|
|
AnyOrderedDict = OrderedDict[Any, Any]
|
|
Number = Union[int, float, Decimal]
|
|
StrBytes = Union[str, bytes]
|
|
|
|
|
|
def str_validator(v: Any) -> Union[str]:
|
|
if isinstance(v, str):
|
|
if isinstance(v, Enum):
|
|
return v.value
|
|
else:
|
|
return v
|
|
elif isinstance(v, (float, int, Decimal)):
|
|
# is there anything else we want to add here? If you think so, create an issue.
|
|
return str(v)
|
|
elif isinstance(v, (bytes, bytearray)):
|
|
return v.decode()
|
|
else:
|
|
raise errors.StrError()
|
|
|
|
|
|
def strict_str_validator(v: Any) -> Union[str]:
|
|
if isinstance(v, str) and not isinstance(v, Enum):
|
|
return v
|
|
raise errors.StrError()
|
|
|
|
|
|
def bytes_validator(v: Any) -> Union[bytes]:
|
|
if isinstance(v, bytes):
|
|
return v
|
|
elif isinstance(v, bytearray):
|
|
return bytes(v)
|
|
elif isinstance(v, str):
|
|
return v.encode()
|
|
elif isinstance(v, (float, int, Decimal)):
|
|
return str(v).encode()
|
|
else:
|
|
raise errors.BytesError()
|
|
|
|
|
|
def strict_bytes_validator(v: Any) -> Union[bytes]:
|
|
if isinstance(v, bytes):
|
|
return v
|
|
elif isinstance(v, bytearray):
|
|
return bytes(v)
|
|
else:
|
|
raise errors.BytesError()
|
|
|
|
|
|
BOOL_FALSE = {0, '0', 'off', 'f', 'false', 'n', 'no'}
|
|
BOOL_TRUE = {1, '1', 'on', 't', 'true', 'y', 'yes'}
|
|
|
|
|
|
def bool_validator(v: Any) -> bool:
|
|
if v is True or v is False:
|
|
return v
|
|
if isinstance(v, bytes):
|
|
v = v.decode()
|
|
if isinstance(v, str):
|
|
v = v.lower()
|
|
try:
|
|
if v in BOOL_TRUE:
|
|
return True
|
|
if v in BOOL_FALSE:
|
|
return False
|
|
except TypeError:
|
|
raise errors.BoolError()
|
|
raise errors.BoolError()
|
|
|
|
|
|
# matches the default limit cpython, see https://github.com/python/cpython/pull/96500
|
|
max_str_int = 4_300
|
|
|
|
|
|
def int_validator(v: Any) -> int:
|
|
if isinstance(v, int) and not (v is True or v is False):
|
|
return v
|
|
|
|
# see https://github.com/pydantic/pydantic/issues/1477 and in turn, https://github.com/python/cpython/issues/95778
|
|
# this check should be unnecessary once patch releases are out for 3.7, 3.8, 3.9 and 3.10
|
|
# but better to check here until then.
|
|
# NOTICE: this does not fully protect user from the DOS risk since the standard library JSON implementation
|
|
# (and other std lib modules like xml) use `int()` and are likely called before this, the best workaround is to
|
|
# 1. update to the latest patch release of python once released, 2. use a different JSON library like ujson
|
|
if isinstance(v, (str, bytes, bytearray)) and len(v) > max_str_int:
|
|
raise errors.IntegerError()
|
|
|
|
try:
|
|
return int(v)
|
|
except (TypeError, ValueError, OverflowError):
|
|
raise errors.IntegerError()
|
|
|
|
|
|
def strict_int_validator(v: Any) -> int:
|
|
if isinstance(v, int) and not (v is True or v is False):
|
|
return v
|
|
raise errors.IntegerError()
|
|
|
|
|
|
def float_validator(v: Any) -> float:
|
|
if isinstance(v, float):
|
|
return v
|
|
|
|
try:
|
|
return float(v)
|
|
except (TypeError, ValueError):
|
|
raise errors.FloatError()
|
|
|
|
|
|
def strict_float_validator(v: Any) -> float:
|
|
if isinstance(v, float):
|
|
return v
|
|
raise errors.FloatError()
|
|
|
|
|
|
def float_finite_validator(v: 'Number', field: 'ModelField', config: 'BaseConfig') -> 'Number':
|
|
allow_inf_nan = getattr(field.type_, 'allow_inf_nan', None)
|
|
if allow_inf_nan is None:
|
|
allow_inf_nan = config.allow_inf_nan
|
|
|
|
if allow_inf_nan is False and (math.isnan(v) or math.isinf(v)):
|
|
raise errors.NumberNotFiniteError()
|
|
return v
|
|
|
|
|
|
def number_multiple_validator(v: 'Number', field: 'ModelField') -> 'Number':
|
|
field_type: ConstrainedNumber = field.type_
|
|
if field_type.multiple_of is not None:
|
|
mod = float(v) / float(field_type.multiple_of) % 1
|
|
if not almost_equal_floats(mod, 0.0) and not almost_equal_floats(mod, 1.0):
|
|
raise errors.NumberNotMultipleError(multiple_of=field_type.multiple_of)
|
|
return v
|
|
|
|
|
|
def number_size_validator(v: 'Number', field: 'ModelField') -> 'Number':
|
|
field_type: ConstrainedNumber = field.type_
|
|
if field_type.gt is not None and not v > field_type.gt:
|
|
raise errors.NumberNotGtError(limit_value=field_type.gt)
|
|
elif field_type.ge is not None and not v >= field_type.ge:
|
|
raise errors.NumberNotGeError(limit_value=field_type.ge)
|
|
|
|
if field_type.lt is not None and not v < field_type.lt:
|
|
raise errors.NumberNotLtError(limit_value=field_type.lt)
|
|
if field_type.le is not None and not v <= field_type.le:
|
|
raise errors.NumberNotLeError(limit_value=field_type.le)
|
|
|
|
return v
|
|
|
|
|
|
def constant_validator(v: 'Any', field: 'ModelField') -> 'Any':
|
|
"""Validate ``const`` fields.
|
|
|
|
The value provided for a ``const`` field must be equal to the default value
|
|
of the field. This is to support the keyword of the same name in JSON
|
|
Schema.
|
|
"""
|
|
if v != field.default:
|
|
raise errors.WrongConstantError(given=v, permitted=[field.default])
|
|
|
|
return v
|
|
|
|
|
|
def anystr_length_validator(v: 'StrBytes', config: 'BaseConfig') -> 'StrBytes':
|
|
v_len = len(v)
|
|
|
|
min_length = config.min_anystr_length
|
|
if v_len < min_length:
|
|
raise errors.AnyStrMinLengthError(limit_value=min_length)
|
|
|
|
max_length = config.max_anystr_length
|
|
if max_length is not None and v_len > max_length:
|
|
raise errors.AnyStrMaxLengthError(limit_value=max_length)
|
|
|
|
return v
|
|
|
|
|
|
def anystr_strip_whitespace(v: 'StrBytes') -> 'StrBytes':
|
|
return v.strip()
|
|
|
|
|
|
def anystr_upper(v: 'StrBytes') -> 'StrBytes':
|
|
return v.upper()
|
|
|
|
|
|
def anystr_lower(v: 'StrBytes') -> 'StrBytes':
|
|
return v.lower()
|
|
|
|
|
|
def ordered_dict_validator(v: Any) -> 'AnyOrderedDict':
|
|
if isinstance(v, OrderedDict):
|
|
return v
|
|
|
|
try:
|
|
return OrderedDict(v)
|
|
except (TypeError, ValueError):
|
|
raise errors.DictError()
|
|
|
|
|
|
def dict_validator(v: Any) -> Dict[Any, Any]:
|
|
if isinstance(v, dict):
|
|
return v
|
|
|
|
try:
|
|
return dict(v)
|
|
except (TypeError, ValueError):
|
|
raise errors.DictError()
|
|
|
|
|
|
def list_validator(v: Any) -> List[Any]:
|
|
if isinstance(v, list):
|
|
return v
|
|
elif sequence_like(v):
|
|
return list(v)
|
|
else:
|
|
raise errors.ListError()
|
|
|
|
|
|
def tuple_validator(v: Any) -> Tuple[Any, ...]:
|
|
if isinstance(v, tuple):
|
|
return v
|
|
elif sequence_like(v):
|
|
return tuple(v)
|
|
else:
|
|
raise errors.TupleError()
|
|
|
|
|
|
def set_validator(v: Any) -> Set[Any]:
|
|
if isinstance(v, set):
|
|
return v
|
|
elif sequence_like(v):
|
|
return set(v)
|
|
else:
|
|
raise errors.SetError()
|
|
|
|
|
|
def frozenset_validator(v: Any) -> FrozenSet[Any]:
|
|
if isinstance(v, frozenset):
|
|
return v
|
|
elif sequence_like(v):
|
|
return frozenset(v)
|
|
else:
|
|
raise errors.FrozenSetError()
|
|
|
|
|
|
def deque_validator(v: Any) -> Deque[Any]:
|
|
if isinstance(v, deque):
|
|
return v
|
|
elif sequence_like(v):
|
|
return deque(v)
|
|
else:
|
|
raise errors.DequeError()
|
|
|
|
|
|
def enum_member_validator(v: Any, field: 'ModelField', config: 'BaseConfig') -> Enum:
|
|
try:
|
|
enum_v = field.type_(v)
|
|
except ValueError:
|
|
# field.type_ should be an enum, so will be iterable
|
|
raise errors.EnumMemberError(enum_values=list(field.type_))
|
|
return enum_v.value if config.use_enum_values else enum_v
|
|
|
|
|
|
def uuid_validator(v: Any, field: 'ModelField') -> UUID:
|
|
try:
|
|
if isinstance(v, str):
|
|
v = UUID(v)
|
|
elif isinstance(v, (bytes, bytearray)):
|
|
try:
|
|
v = UUID(v.decode())
|
|
except ValueError:
|
|
# 16 bytes in big-endian order as the bytes argument fail
|
|
# the above check
|
|
v = UUID(bytes=v)
|
|
except ValueError:
|
|
raise errors.UUIDError()
|
|
|
|
if not isinstance(v, UUID):
|
|
raise errors.UUIDError()
|
|
|
|
required_version = getattr(field.type_, '_required_version', None)
|
|
if required_version and v.version != required_version:
|
|
raise errors.UUIDVersionError(required_version=required_version)
|
|
|
|
return v
|
|
|
|
|
|
def decimal_validator(v: Any) -> Decimal:
|
|
if isinstance(v, Decimal):
|
|
return v
|
|
elif isinstance(v, (bytes, bytearray)):
|
|
v = v.decode()
|
|
|
|
v = str(v).strip()
|
|
|
|
try:
|
|
v = Decimal(v)
|
|
except DecimalException:
|
|
raise errors.DecimalError()
|
|
|
|
if not v.is_finite():
|
|
raise errors.DecimalIsNotFiniteError()
|
|
|
|
return v
|
|
|
|
|
|
def hashable_validator(v: Any) -> Hashable:
|
|
if isinstance(v, Hashable):
|
|
return v
|
|
|
|
raise errors.HashableError()
|
|
|
|
|
|
def ip_v4_address_validator(v: Any) -> IPv4Address:
|
|
if isinstance(v, IPv4Address):
|
|
return v
|
|
|
|
try:
|
|
return IPv4Address(v)
|
|
except ValueError:
|
|
raise errors.IPv4AddressError()
|
|
|
|
|
|
def ip_v6_address_validator(v: Any) -> IPv6Address:
|
|
if isinstance(v, IPv6Address):
|
|
return v
|
|
|
|
try:
|
|
return IPv6Address(v)
|
|
except ValueError:
|
|
raise errors.IPv6AddressError()
|
|
|
|
|
|
def ip_v4_network_validator(v: Any) -> IPv4Network:
|
|
"""
|
|
Assume IPv4Network initialised with a default ``strict`` argument
|
|
|
|
See more:
|
|
https://docs.python.org/library/ipaddress.html#ipaddress.IPv4Network
|
|
"""
|
|
if isinstance(v, IPv4Network):
|
|
return v
|
|
|
|
try:
|
|
return IPv4Network(v)
|
|
except ValueError:
|
|
raise errors.IPv4NetworkError()
|
|
|
|
|
|
def ip_v6_network_validator(v: Any) -> IPv6Network:
|
|
"""
|
|
Assume IPv6Network initialised with a default ``strict`` argument
|
|
|
|
See more:
|
|
https://docs.python.org/library/ipaddress.html#ipaddress.IPv6Network
|
|
"""
|
|
if isinstance(v, IPv6Network):
|
|
return v
|
|
|
|
try:
|
|
return IPv6Network(v)
|
|
except ValueError:
|
|
raise errors.IPv6NetworkError()
|
|
|
|
|
|
def ip_v4_interface_validator(v: Any) -> IPv4Interface:
|
|
if isinstance(v, IPv4Interface):
|
|
return v
|
|
|
|
try:
|
|
return IPv4Interface(v)
|
|
except ValueError:
|
|
raise errors.IPv4InterfaceError()
|
|
|
|
|
|
def ip_v6_interface_validator(v: Any) -> IPv6Interface:
|
|
if isinstance(v, IPv6Interface):
|
|
return v
|
|
|
|
try:
|
|
return IPv6Interface(v)
|
|
except ValueError:
|
|
raise errors.IPv6InterfaceError()
|
|
|
|
|
|
def path_validator(v: Any) -> Path:
|
|
if isinstance(v, Path):
|
|
return v
|
|
|
|
try:
|
|
return Path(v)
|
|
except TypeError:
|
|
raise errors.PathError()
|
|
|
|
|
|
def path_exists_validator(v: Any) -> Path:
|
|
if not v.exists():
|
|
raise errors.PathNotExistsError(path=v)
|
|
|
|
return v
|
|
|
|
|
|
def callable_validator(v: Any) -> AnyCallable:
|
|
"""
|
|
Perform a simple check if the value is callable.
|
|
|
|
Note: complete matching of argument type hints and return types is not performed
|
|
"""
|
|
if callable(v):
|
|
return v
|
|
|
|
raise errors.CallableError(value=v)
|
|
|
|
|
|
def enum_validator(v: Any) -> Enum:
|
|
if isinstance(v, Enum):
|
|
return v
|
|
|
|
raise errors.EnumError(value=v)
|
|
|
|
|
|
def int_enum_validator(v: Any) -> IntEnum:
|
|
if isinstance(v, IntEnum):
|
|
return v
|
|
|
|
raise errors.IntEnumError(value=v)
|
|
|
|
|
|
def make_literal_validator(type_: Any) -> Callable[[Any], Any]:
|
|
permitted_choices = all_literal_values(type_)
|
|
|
|
# To have a O(1) complexity and still return one of the values set inside the `Literal`,
|
|
# we create a dict with the set values (a set causes some problems with the way intersection works).
|
|
# In some cases the set value and checked value can indeed be different (see `test_literal_validator_str_enum`)
|
|
allowed_choices = {v: v for v in permitted_choices}
|
|
|
|
def literal_validator(v: Any) -> Any:
|
|
try:
|
|
return allowed_choices[v]
|
|
except (KeyError, TypeError):
|
|
raise errors.WrongConstantError(given=v, permitted=permitted_choices)
|
|
|
|
return literal_validator
|
|
|
|
|
|
def constr_length_validator(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
|
|
v_len = len(v)
|
|
|
|
min_length = field.type_.min_length if field.type_.min_length is not None else config.min_anystr_length
|
|
if v_len < min_length:
|
|
raise errors.AnyStrMinLengthError(limit_value=min_length)
|
|
|
|
max_length = field.type_.max_length if field.type_.max_length is not None else config.max_anystr_length
|
|
if max_length is not None and v_len > max_length:
|
|
raise errors.AnyStrMaxLengthError(limit_value=max_length)
|
|
|
|
return v
|
|
|
|
|
|
def constr_strip_whitespace(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
|
|
strip_whitespace = field.type_.strip_whitespace or config.anystr_strip_whitespace
|
|
if strip_whitespace:
|
|
v = v.strip()
|
|
|
|
return v
|
|
|
|
|
|
def constr_upper(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
|
|
upper = field.type_.to_upper or config.anystr_upper
|
|
if upper:
|
|
v = v.upper()
|
|
|
|
return v
|
|
|
|
|
|
def constr_lower(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
|
|
lower = field.type_.to_lower or config.anystr_lower
|
|
if lower:
|
|
v = v.lower()
|
|
return v
|
|
|
|
|
|
def validate_json(v: Any, config: 'BaseConfig') -> Any:
|
|
if v is None:
|
|
# pass None through to other validators
|
|
return v
|
|
try:
|
|
return config.json_loads(v) # type: ignore
|
|
except ValueError:
|
|
raise errors.JsonError()
|
|
except TypeError:
|
|
raise errors.JsonTypeError()
|
|
|
|
|
|
T = TypeVar('T')
|
|
|
|
|
|
def make_arbitrary_type_validator(type_: Type[T]) -> Callable[[T], T]:
|
|
def arbitrary_type_validator(v: Any) -> T:
|
|
if isinstance(v, type_):
|
|
return v
|
|
raise errors.ArbitraryTypeError(expected_arbitrary_type=type_)
|
|
|
|
return arbitrary_type_validator
|
|
|
|
|
|
def make_class_validator(type_: Type[T]) -> Callable[[Any], Type[T]]:
|
|
def class_validator(v: Any) -> Type[T]:
|
|
if lenient_issubclass(v, type_):
|
|
return v
|
|
raise errors.SubclassError(expected_class=type_)
|
|
|
|
return class_validator
|
|
|
|
|
|
def any_class_validator(v: Any) -> Type[T]:
|
|
if isinstance(v, type):
|
|
return v
|
|
raise errors.ClassError()
|
|
|
|
|
|
def none_validator(v: Any) -> 'Literal[None]':
|
|
if v is None:
|
|
return v
|
|
raise errors.NotNoneError()
|
|
|
|
|
|
def pattern_validator(v: Any) -> Pattern[str]:
|
|
if isinstance(v, Pattern):
|
|
return v
|
|
|
|
str_value = str_validator(v)
|
|
|
|
try:
|
|
return re.compile(str_value)
|
|
except re.error:
|
|
raise errors.PatternError()
|
|
|
|
|
|
NamedTupleT = TypeVar('NamedTupleT', bound=NamedTuple)
|
|
|
|
|
|
def make_namedtuple_validator(
|
|
namedtuple_cls: Type[NamedTupleT], config: Type['BaseConfig']
|
|
) -> Callable[[Tuple[Any, ...]], NamedTupleT]:
|
|
from .annotated_types import create_model_from_namedtuple
|
|
|
|
NamedTupleModel = create_model_from_namedtuple(
|
|
namedtuple_cls,
|
|
__config__=config,
|
|
__module__=namedtuple_cls.__module__,
|
|
)
|
|
namedtuple_cls.__pydantic_model__ = NamedTupleModel # type: ignore[attr-defined]
|
|
|
|
def namedtuple_validator(values: Tuple[Any, ...]) -> NamedTupleT:
|
|
annotations = NamedTupleModel.__annotations__
|
|
|
|
if len(values) > len(annotations):
|
|
raise errors.ListMaxLengthError(limit_value=len(annotations))
|
|
|
|
dict_values: Dict[str, Any] = dict(zip(annotations, values))
|
|
validated_dict_values: Dict[str, Any] = dict(NamedTupleModel(**dict_values))
|
|
return namedtuple_cls(**validated_dict_values)
|
|
|
|
return namedtuple_validator
|
|
|
|
|
|
def make_typeddict_validator(
|
|
typeddict_cls: Type['TypedDict'], config: Type['BaseConfig'] # type: ignore[valid-type]
|
|
) -> Callable[[Any], Dict[str, Any]]:
|
|
from .annotated_types import create_model_from_typeddict
|
|
|
|
TypedDictModel = create_model_from_typeddict(
|
|
typeddict_cls,
|
|
__config__=config,
|
|
__module__=typeddict_cls.__module__,
|
|
)
|
|
typeddict_cls.__pydantic_model__ = TypedDictModel # type: ignore[attr-defined]
|
|
|
|
def typeddict_validator(values: 'TypedDict') -> Dict[str, Any]: # type: ignore[valid-type]
|
|
return TypedDictModel.parse_obj(values).dict(exclude_unset=True)
|
|
|
|
return typeddict_validator
|
|
|
|
|
|
class IfConfig:
|
|
def __init__(self, validator: AnyCallable, *config_attr_names: str, ignored_value: Any = False) -> None:
|
|
self.validator = validator
|
|
self.config_attr_names = config_attr_names
|
|
self.ignored_value = ignored_value
|
|
|
|
def check(self, config: Type['BaseConfig']) -> bool:
|
|
return any(getattr(config, name) not in {None, self.ignored_value} for name in self.config_attr_names)
|
|
|
|
|
|
# order is important here, for example: bool is a subclass of int so has to come first, datetime before date same,
|
|
# IPv4Interface before IPv4Address, etc
|
|
_VALIDATORS: List[Tuple[Type[Any], List[Any]]] = [
|
|
(IntEnum, [int_validator, enum_member_validator]),
|
|
(Enum, [enum_member_validator]),
|
|
(
|
|
str,
|
|
[
|
|
str_validator,
|
|
IfConfig(anystr_strip_whitespace, 'anystr_strip_whitespace'),
|
|
IfConfig(anystr_upper, 'anystr_upper'),
|
|
IfConfig(anystr_lower, 'anystr_lower'),
|
|
IfConfig(anystr_length_validator, 'min_anystr_length', 'max_anystr_length'),
|
|
],
|
|
),
|
|
(
|
|
bytes,
|
|
[
|
|
bytes_validator,
|
|
IfConfig(anystr_strip_whitespace, 'anystr_strip_whitespace'),
|
|
IfConfig(anystr_upper, 'anystr_upper'),
|
|
IfConfig(anystr_lower, 'anystr_lower'),
|
|
IfConfig(anystr_length_validator, 'min_anystr_length', 'max_anystr_length'),
|
|
],
|
|
),
|
|
(bool, [bool_validator]),
|
|
(int, [int_validator]),
|
|
(float, [float_validator, IfConfig(float_finite_validator, 'allow_inf_nan', ignored_value=True)]),
|
|
(Path, [path_validator]),
|
|
(datetime, [parse_datetime]),
|
|
(date, [parse_date]),
|
|
(time, [parse_time]),
|
|
(timedelta, [parse_duration]),
|
|
(OrderedDict, [ordered_dict_validator]),
|
|
(dict, [dict_validator]),
|
|
(list, [list_validator]),
|
|
(tuple, [tuple_validator]),
|
|
(set, [set_validator]),
|
|
(frozenset, [frozenset_validator]),
|
|
(deque, [deque_validator]),
|
|
(UUID, [uuid_validator]),
|
|
(Decimal, [decimal_validator]),
|
|
(IPv4Interface, [ip_v4_interface_validator]),
|
|
(IPv6Interface, [ip_v6_interface_validator]),
|
|
(IPv4Address, [ip_v4_address_validator]),
|
|
(IPv6Address, [ip_v6_address_validator]),
|
|
(IPv4Network, [ip_v4_network_validator]),
|
|
(IPv6Network, [ip_v6_network_validator]),
|
|
]
|
|
|
|
|
|
def find_validators( # noqa: C901 (ignore complexity)
|
|
type_: Type[Any], config: Type['BaseConfig']
|
|
) -> Generator[AnyCallable, None, None]:
|
|
from .dataclasses import is_builtin_dataclass, make_dataclass_validator
|
|
|
|
if type_ is Any or type_ is object:
|
|
return
|
|
type_type = type_.__class__
|
|
if type_type == ForwardRef or type_type == TypeVar:
|
|
return
|
|
|
|
if is_none_type(type_):
|
|
yield none_validator
|
|
return
|
|
if type_ is Pattern or type_ is re.Pattern:
|
|
yield pattern_validator
|
|
return
|
|
if type_ is Hashable or type_ is CollectionsHashable:
|
|
yield hashable_validator
|
|
return
|
|
if is_callable_type(type_):
|
|
yield callable_validator
|
|
return
|
|
if is_literal_type(type_):
|
|
yield make_literal_validator(type_)
|
|
return
|
|
if is_builtin_dataclass(type_):
|
|
yield from make_dataclass_validator(type_, config)
|
|
return
|
|
if type_ is Enum:
|
|
yield enum_validator
|
|
return
|
|
if type_ is IntEnum:
|
|
yield int_enum_validator
|
|
return
|
|
if is_namedtuple(type_):
|
|
yield tuple_validator
|
|
yield make_namedtuple_validator(type_, config)
|
|
return
|
|
if is_typeddict(type_):
|
|
yield make_typeddict_validator(type_, config)
|
|
return
|
|
|
|
class_ = get_class(type_)
|
|
if class_ is not None:
|
|
if class_ is not Any and isinstance(class_, type):
|
|
yield make_class_validator(class_)
|
|
else:
|
|
yield any_class_validator
|
|
return
|
|
|
|
for val_type, validators in _VALIDATORS:
|
|
try:
|
|
if issubclass(type_, val_type):
|
|
for v in validators:
|
|
if isinstance(v, IfConfig):
|
|
if v.check(config):
|
|
yield v.validator
|
|
else:
|
|
yield v
|
|
return
|
|
except TypeError:
|
|
raise RuntimeError(f'error checking inheritance of {type_!r} (type: {display_as_type(type_)})')
|
|
|
|
if config.arbitrary_types_allowed:
|
|
yield make_arbitrary_type_validator(type_)
|
|
else:
|
|
raise RuntimeError(f'no validator found for {type_}, see `arbitrary_types_allowed` in Config')
|