716 lines
19 KiB
Python
716 lines
19 KiB
Python
import re
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from collections import OrderedDict, deque
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from collections.abc import Hashable
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from datetime import date, datetime, time, timedelta
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from decimal import Decimal, DecimalException
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from enum import Enum, IntEnum
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from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
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from pathlib import Path
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from typing import (
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TYPE_CHECKING,
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Any,
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Callable,
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Deque,
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Dict,
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FrozenSet,
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Generator,
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List,
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NamedTuple,
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Pattern,
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Set,
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Tuple,
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Type,
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TypeVar,
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Union,
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)
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from uuid import UUID
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from typing_extensions import Literal
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from . import errors
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from .datetime_parse import parse_date, parse_datetime, parse_duration, parse_time
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from .typing import (
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NONE_TYPES,
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AnyCallable,
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ForwardRef,
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all_literal_values,
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display_as_type,
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get_class,
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is_callable_type,
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is_literal_type,
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is_namedtuple,
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is_typeddict,
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)
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from .utils import almost_equal_floats, lenient_issubclass, sequence_like
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if TYPE_CHECKING:
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from .annotated_types import TypedDict
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from .fields import ModelField
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from .main import BaseConfig
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from .types import ConstrainedDecimal, ConstrainedFloat, ConstrainedInt
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ConstrainedNumber = Union[ConstrainedDecimal, ConstrainedFloat, ConstrainedInt]
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AnyOrderedDict = OrderedDict[Any, Any]
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Number = Union[int, float, Decimal]
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StrBytes = Union[str, bytes]
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def str_validator(v: Any) -> Union[str]:
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if isinstance(v, str):
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if isinstance(v, Enum):
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return v.value
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else:
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return v
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elif isinstance(v, (float, int, Decimal)):
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# is there anything else we want to add here? If you think so, create an issue.
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return str(v)
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elif isinstance(v, (bytes, bytearray)):
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return v.decode()
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else:
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raise errors.StrError()
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def strict_str_validator(v: Any) -> Union[str]:
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if isinstance(v, str):
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return v
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raise errors.StrError()
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def bytes_validator(v: Any) -> bytes:
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if isinstance(v, bytes):
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return v
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elif isinstance(v, bytearray):
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return bytes(v)
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elif isinstance(v, str):
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return v.encode()
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elif isinstance(v, (float, int, Decimal)):
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return str(v).encode()
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else:
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raise errors.BytesError()
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def strict_bytes_validator(v: Any) -> Union[bytes]:
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if isinstance(v, bytes):
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return v
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elif isinstance(v, bytearray):
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return bytes(v)
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else:
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raise errors.BytesError()
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BOOL_FALSE = {0, '0', 'off', 'f', 'false', 'n', 'no'}
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BOOL_TRUE = {1, '1', 'on', 't', 'true', 'y', 'yes'}
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def bool_validator(v: Any) -> bool:
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if v is True or v is False:
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return v
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if isinstance(v, bytes):
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v = v.decode()
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if isinstance(v, str):
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v = v.lower()
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try:
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if v in BOOL_TRUE:
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return True
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if v in BOOL_FALSE:
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return False
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except TypeError:
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raise errors.BoolError()
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raise errors.BoolError()
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def int_validator(v: Any) -> int:
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if isinstance(v, int) and not (v is True or v is False):
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return v
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try:
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return int(v)
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except (TypeError, ValueError):
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raise errors.IntegerError()
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def strict_int_validator(v: Any) -> int:
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if isinstance(v, int) and not (v is True or v is False):
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return v
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raise errors.IntegerError()
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def float_validator(v: Any) -> float:
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if isinstance(v, float):
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return v
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try:
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return float(v)
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except (TypeError, ValueError):
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raise errors.FloatError()
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def strict_float_validator(v: Any) -> float:
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if isinstance(v, float):
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return v
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raise errors.FloatError()
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def number_multiple_validator(v: 'Number', field: 'ModelField') -> 'Number':
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field_type: ConstrainedNumber = field.type_
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if field_type.multiple_of is not None:
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mod = float(v) / float(field_type.multiple_of) % 1
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if not almost_equal_floats(mod, 0.0) and not almost_equal_floats(mod, 1.0):
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raise errors.NumberNotMultipleError(multiple_of=field_type.multiple_of)
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return v
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def number_size_validator(v: 'Number', field: 'ModelField') -> 'Number':
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field_type: ConstrainedNumber = field.type_
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if field_type.gt is not None and not v > field_type.gt:
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raise errors.NumberNotGtError(limit_value=field_type.gt)
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elif field_type.ge is not None and not v >= field_type.ge:
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raise errors.NumberNotGeError(limit_value=field_type.ge)
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if field_type.lt is not None and not v < field_type.lt:
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raise errors.NumberNotLtError(limit_value=field_type.lt)
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if field_type.le is not None and not v <= field_type.le:
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raise errors.NumberNotLeError(limit_value=field_type.le)
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return v
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def constant_validator(v: 'Any', field: 'ModelField') -> 'Any':
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"""Validate ``const`` fields.
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The value provided for a ``const`` field must be equal to the default value
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of the field. This is to support the keyword of the same name in JSON
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Schema.
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"""
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if v != field.default:
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raise errors.WrongConstantError(given=v, permitted=[field.default])
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return v
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def anystr_length_validator(v: 'StrBytes', config: 'BaseConfig') -> 'StrBytes':
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v_len = len(v)
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min_length = config.min_anystr_length
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if min_length is not None and v_len < min_length:
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raise errors.AnyStrMinLengthError(limit_value=min_length)
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max_length = config.max_anystr_length
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if max_length is not None and v_len > max_length:
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raise errors.AnyStrMaxLengthError(limit_value=max_length)
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return v
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def anystr_strip_whitespace(v: 'StrBytes') -> 'StrBytes':
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return v.strip()
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def anystr_lower(v: 'StrBytes') -> 'StrBytes':
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return v.lower()
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def ordered_dict_validator(v: Any) -> 'AnyOrderedDict':
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if isinstance(v, OrderedDict):
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return v
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try:
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return OrderedDict(v)
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except (TypeError, ValueError):
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raise errors.DictError()
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def dict_validator(v: Any) -> Dict[Any, Any]:
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if isinstance(v, dict):
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return v
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try:
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return dict(v)
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except (TypeError, ValueError):
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raise errors.DictError()
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def list_validator(v: Any) -> List[Any]:
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if isinstance(v, list):
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return v
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elif sequence_like(v):
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return list(v)
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else:
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raise errors.ListError()
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def tuple_validator(v: Any) -> Tuple[Any, ...]:
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if isinstance(v, tuple):
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return v
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elif sequence_like(v):
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return tuple(v)
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else:
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raise errors.TupleError()
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def set_validator(v: Any) -> Set[Any]:
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if isinstance(v, set):
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return v
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elif sequence_like(v):
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return set(v)
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else:
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raise errors.SetError()
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def frozenset_validator(v: Any) -> FrozenSet[Any]:
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if isinstance(v, frozenset):
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return v
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elif sequence_like(v):
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return frozenset(v)
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else:
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raise errors.FrozenSetError()
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def deque_validator(v: Any) -> Deque[Any]:
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if isinstance(v, deque):
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return v
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elif sequence_like(v):
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return deque(v)
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else:
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raise errors.DequeError()
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def enum_member_validator(v: Any, field: 'ModelField', config: 'BaseConfig') -> Enum:
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try:
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enum_v = field.type_(v)
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except ValueError:
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# field.type_ should be an enum, so will be iterable
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raise errors.EnumMemberError(enum_values=list(field.type_))
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return enum_v.value if config.use_enum_values else enum_v
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def uuid_validator(v: Any, field: 'ModelField') -> UUID:
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try:
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if isinstance(v, str):
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v = UUID(v)
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elif isinstance(v, (bytes, bytearray)):
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try:
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v = UUID(v.decode())
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except ValueError:
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# 16 bytes in big-endian order as the bytes argument fail
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# the above check
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v = UUID(bytes=v)
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except ValueError:
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raise errors.UUIDError()
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if not isinstance(v, UUID):
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raise errors.UUIDError()
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required_version = getattr(field.type_, '_required_version', None)
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if required_version and v.version != required_version:
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raise errors.UUIDVersionError(required_version=required_version)
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return v
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def decimal_validator(v: Any) -> Decimal:
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if isinstance(v, Decimal):
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return v
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elif isinstance(v, (bytes, bytearray)):
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v = v.decode()
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v = str(v).strip()
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try:
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v = Decimal(v)
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except DecimalException:
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raise errors.DecimalError()
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if not v.is_finite():
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raise errors.DecimalIsNotFiniteError()
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return v
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def hashable_validator(v: Any) -> Hashable:
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if isinstance(v, Hashable):
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return v
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raise errors.HashableError()
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def ip_v4_address_validator(v: Any) -> IPv4Address:
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if isinstance(v, IPv4Address):
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return v
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try:
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return IPv4Address(v)
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except ValueError:
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raise errors.IPv4AddressError()
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def ip_v6_address_validator(v: Any) -> IPv6Address:
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if isinstance(v, IPv6Address):
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return v
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try:
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return IPv6Address(v)
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except ValueError:
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raise errors.IPv6AddressError()
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def ip_v4_network_validator(v: Any) -> IPv4Network:
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"""
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Assume IPv4Network initialised with a default ``strict`` argument
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See more:
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https://docs.python.org/library/ipaddress.html#ipaddress.IPv4Network
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"""
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if isinstance(v, IPv4Network):
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return v
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try:
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return IPv4Network(v)
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except ValueError:
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raise errors.IPv4NetworkError()
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def ip_v6_network_validator(v: Any) -> IPv6Network:
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"""
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Assume IPv6Network initialised with a default ``strict`` argument
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See more:
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https://docs.python.org/library/ipaddress.html#ipaddress.IPv6Network
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"""
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if isinstance(v, IPv6Network):
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return v
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try:
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return IPv6Network(v)
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except ValueError:
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raise errors.IPv6NetworkError()
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def ip_v4_interface_validator(v: Any) -> IPv4Interface:
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if isinstance(v, IPv4Interface):
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return v
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try:
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return IPv4Interface(v)
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except ValueError:
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raise errors.IPv4InterfaceError()
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def ip_v6_interface_validator(v: Any) -> IPv6Interface:
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if isinstance(v, IPv6Interface):
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return v
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try:
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return IPv6Interface(v)
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except ValueError:
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raise errors.IPv6InterfaceError()
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def path_validator(v: Any) -> Path:
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if isinstance(v, Path):
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return v
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try:
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return Path(v)
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except TypeError:
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raise errors.PathError()
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def path_exists_validator(v: Any) -> Path:
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if not v.exists():
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raise errors.PathNotExistsError(path=v)
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return v
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def callable_validator(v: Any) -> AnyCallable:
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"""
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Perform a simple check if the value is callable.
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Note: complete matching of argument type hints and return types is not performed
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"""
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if callable(v):
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return v
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raise errors.CallableError(value=v)
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def enum_validator(v: Any) -> Enum:
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if isinstance(v, Enum):
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return v
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raise errors.EnumError(value=v)
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def int_enum_validator(v: Any) -> IntEnum:
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if isinstance(v, IntEnum):
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return v
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raise errors.IntEnumError(value=v)
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def make_literal_validator(type_: Any) -> Callable[[Any], Any]:
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permitted_choices = all_literal_values(type_)
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# To have a O(1) complexity and still return one of the values set inside the `Literal`,
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# we create a dict with the set values (a set causes some problems with the way intersection works).
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# In some cases the set value and checked value can indeed be different (see `test_literal_validator_str_enum`)
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allowed_choices = {v: v for v in permitted_choices}
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def literal_validator(v: Any) -> Any:
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try:
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return allowed_choices[v]
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except KeyError:
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raise errors.WrongConstantError(given=v, permitted=permitted_choices)
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return literal_validator
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def constr_length_validator(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
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v_len = len(v)
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min_length = field.type_.min_length or config.min_anystr_length
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if min_length is not None and v_len < min_length:
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raise errors.AnyStrMinLengthError(limit_value=min_length)
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max_length = field.type_.max_length or config.max_anystr_length
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if max_length is not None and v_len > max_length:
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raise errors.AnyStrMaxLengthError(limit_value=max_length)
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return v
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def constr_strip_whitespace(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
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strip_whitespace = field.type_.strip_whitespace or config.anystr_strip_whitespace
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if strip_whitespace:
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v = v.strip()
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return v
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def constr_lower(v: 'StrBytes', field: 'ModelField', config: 'BaseConfig') -> 'StrBytes':
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lower = field.type_.to_lower or config.anystr_lower
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if lower:
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v = v.lower()
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return v
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def validate_json(v: Any, config: 'BaseConfig') -> Any:
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if v is None:
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# pass None through to other validators
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return v
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try:
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return config.json_loads(v) # type: ignore
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except ValueError:
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raise errors.JsonError()
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except TypeError:
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raise errors.JsonTypeError()
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T = TypeVar('T')
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def make_arbitrary_type_validator(type_: Type[T]) -> Callable[[T], T]:
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def arbitrary_type_validator(v: Any) -> T:
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if isinstance(v, type_):
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return v
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raise errors.ArbitraryTypeError(expected_arbitrary_type=type_)
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return arbitrary_type_validator
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def make_class_validator(type_: Type[T]) -> Callable[[Any], Type[T]]:
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def class_validator(v: Any) -> Type[T]:
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if lenient_issubclass(v, type_):
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return v
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raise errors.SubclassError(expected_class=type_)
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return class_validator
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def any_class_validator(v: Any) -> Type[T]:
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if isinstance(v, type):
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return v
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raise errors.ClassError()
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def none_validator(v: Any) -> 'Literal[None]':
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if v is None:
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return v
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raise errors.NotNoneError()
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def pattern_validator(v: Any) -> Pattern[str]:
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if isinstance(v, Pattern):
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return v
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str_value = str_validator(v)
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try:
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return re.compile(str_value)
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except re.error:
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raise errors.PatternError()
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NamedTupleT = TypeVar('NamedTupleT', bound=NamedTuple)
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def make_namedtuple_validator(namedtuple_cls: Type[NamedTupleT]) -> Callable[[Tuple[Any, ...]], NamedTupleT]:
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from .annotated_types import create_model_from_namedtuple
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NamedTupleModel = create_model_from_namedtuple(namedtuple_cls)
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namedtuple_cls.__pydantic_model__ = NamedTupleModel # type: ignore[attr-defined]
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def namedtuple_validator(values: Tuple[Any, ...]) -> NamedTupleT:
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annotations = NamedTupleModel.__annotations__
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if len(values) > len(annotations):
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raise errors.ListMaxLengthError(limit_value=len(annotations))
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dict_values: Dict[str, Any] = dict(zip(annotations, values))
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validated_dict_values: Dict[str, Any] = dict(NamedTupleModel(**dict_values))
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return namedtuple_cls(**validated_dict_values)
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return namedtuple_validator
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def make_typeddict_validator(
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typeddict_cls: Type['TypedDict'], config: Type['BaseConfig']
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|
) -> Callable[[Any], Dict[str, Any]]:
|
|
from .annotated_types import create_model_from_typeddict
|
|
|
|
TypedDictModel = create_model_from_typeddict(typeddict_cls, __config__=config)
|
|
typeddict_cls.__pydantic_model__ = TypedDictModel # type: ignore[attr-defined]
|
|
|
|
def typeddict_validator(values: 'TypedDict') -> Dict[str, Any]:
|
|
return TypedDictModel.parse_obj(values).dict(exclude_unset=True)
|
|
|
|
return typeddict_validator
|
|
|
|
|
|
class IfConfig:
|
|
def __init__(self, validator: AnyCallable, *config_attr_names: str) -> None:
|
|
self.validator = validator
|
|
self.config_attr_names = config_attr_names
|
|
|
|
def check(self, config: Type['BaseConfig']) -> bool:
|
|
return any(getattr(config, name) not in {None, False} 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_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_lower, 'anystr_lower'),
|
|
IfConfig(anystr_length_validator, 'min_anystr_length', 'max_anystr_length'),
|
|
],
|
|
),
|
|
(bool, [bool_validator]),
|
|
(int, [int_validator]),
|
|
(float, [float_validator]),
|
|
(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:
|
|
return
|
|
type_type = type_.__class__
|
|
if type_type == ForwardRef or type_type == TypeVar:
|
|
return
|
|
if type_ in NONE_TYPES:
|
|
yield none_validator
|
|
return
|
|
if type_ is Pattern:
|
|
yield pattern_validator
|
|
return
|
|
if type_ is Hashable:
|
|
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_)
|
|
return
|
|
if is_typeddict(type_):
|
|
yield make_typeddict_validator(type_, config)
|
|
return
|
|
|
|
class_ = get_class(type_)
|
|
if class_ is not None:
|
|
if 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')
|