peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pydantic
/v1
/errors.py
from decimal import Decimal | |
from pathlib import Path | |
from typing import TYPE_CHECKING, Any, Callable, Sequence, Set, Tuple, Type, Union | |
from .typing import display_as_type | |
if TYPE_CHECKING: | |
from .typing import DictStrAny | |
# explicitly state exports to avoid "from .errors import *" also importing Decimal, Path etc. | |
__all__ = ( | |
'PydanticTypeError', | |
'PydanticValueError', | |
'ConfigError', | |
'MissingError', | |
'ExtraError', | |
'NoneIsNotAllowedError', | |
'NoneIsAllowedError', | |
'WrongConstantError', | |
'NotNoneError', | |
'BoolError', | |
'BytesError', | |
'DictError', | |
'EmailError', | |
'UrlError', | |
'UrlSchemeError', | |
'UrlSchemePermittedError', | |
'UrlUserInfoError', | |
'UrlHostError', | |
'UrlHostTldError', | |
'UrlPortError', | |
'UrlExtraError', | |
'EnumError', | |
'IntEnumError', | |
'EnumMemberError', | |
'IntegerError', | |
'FloatError', | |
'PathError', | |
'PathNotExistsError', | |
'PathNotAFileError', | |
'PathNotADirectoryError', | |
'PyObjectError', | |
'SequenceError', | |
'ListError', | |
'SetError', | |
'FrozenSetError', | |
'TupleError', | |
'TupleLengthError', | |
'ListMinLengthError', | |
'ListMaxLengthError', | |
'ListUniqueItemsError', | |
'SetMinLengthError', | |
'SetMaxLengthError', | |
'FrozenSetMinLengthError', | |
'FrozenSetMaxLengthError', | |
'AnyStrMinLengthError', | |
'AnyStrMaxLengthError', | |
'StrError', | |
'StrRegexError', | |
'NumberNotGtError', | |
'NumberNotGeError', | |
'NumberNotLtError', | |
'NumberNotLeError', | |
'NumberNotMultipleError', | |
'DecimalError', | |
'DecimalIsNotFiniteError', | |
'DecimalMaxDigitsError', | |
'DecimalMaxPlacesError', | |
'DecimalWholeDigitsError', | |
'DateTimeError', | |
'DateError', | |
'DateNotInThePastError', | |
'DateNotInTheFutureError', | |
'TimeError', | |
'DurationError', | |
'HashableError', | |
'UUIDError', | |
'UUIDVersionError', | |
'ArbitraryTypeError', | |
'ClassError', | |
'SubclassError', | |
'JsonError', | |
'JsonTypeError', | |
'PatternError', | |
'DataclassTypeError', | |
'CallableError', | |
'IPvAnyAddressError', | |
'IPvAnyInterfaceError', | |
'IPvAnyNetworkError', | |
'IPv4AddressError', | |
'IPv6AddressError', | |
'IPv4NetworkError', | |
'IPv6NetworkError', | |
'IPv4InterfaceError', | |
'IPv6InterfaceError', | |
'ColorError', | |
'StrictBoolError', | |
'NotDigitError', | |
'LuhnValidationError', | |
'InvalidLengthForBrand', | |
'InvalidByteSize', | |
'InvalidByteSizeUnit', | |
'MissingDiscriminator', | |
'InvalidDiscriminator', | |
) | |
def cls_kwargs(cls: Type['PydanticErrorMixin'], ctx: 'DictStrAny') -> 'PydanticErrorMixin': | |
""" | |
For built-in exceptions like ValueError or TypeError, we need to implement | |
__reduce__ to override the default behaviour (instead of __getstate__/__setstate__) | |
By default pickle protocol 2 calls `cls.__new__(cls, *args)`. | |
Since we only use kwargs, we need a little constructor to change that. | |
Note: the callable can't be a lambda as pickle looks in the namespace to find it | |
""" | |
return cls(**ctx) | |
class PydanticErrorMixin: | |
code: str | |
msg_template: str | |
def __init__(self, **ctx: Any) -> None: | |
self.__dict__ = ctx | |
def __str__(self) -> str: | |
return self.msg_template.format(**self.__dict__) | |
def __reduce__(self) -> Tuple[Callable[..., 'PydanticErrorMixin'], Tuple[Type['PydanticErrorMixin'], 'DictStrAny']]: | |
return cls_kwargs, (self.__class__, self.__dict__) | |
class PydanticTypeError(PydanticErrorMixin, TypeError): | |
pass | |
class PydanticValueError(PydanticErrorMixin, ValueError): | |
pass | |
class ConfigError(RuntimeError): | |
pass | |
class MissingError(PydanticValueError): | |
msg_template = 'field required' | |
class ExtraError(PydanticValueError): | |
msg_template = 'extra fields not permitted' | |
class NoneIsNotAllowedError(PydanticTypeError): | |
code = 'none.not_allowed' | |
msg_template = 'none is not an allowed value' | |
class NoneIsAllowedError(PydanticTypeError): | |
code = 'none.allowed' | |
msg_template = 'value is not none' | |
class WrongConstantError(PydanticValueError): | |
code = 'const' | |
def __str__(self) -> str: | |
permitted = ', '.join(repr(v) for v in self.permitted) # type: ignore | |
return f'unexpected value; permitted: {permitted}' | |
class NotNoneError(PydanticTypeError): | |
code = 'not_none' | |
msg_template = 'value is not None' | |
class BoolError(PydanticTypeError): | |
msg_template = 'value could not be parsed to a boolean' | |
class BytesError(PydanticTypeError): | |
msg_template = 'byte type expected' | |
class DictError(PydanticTypeError): | |
msg_template = 'value is not a valid dict' | |
class EmailError(PydanticValueError): | |
msg_template = 'value is not a valid email address' | |
class UrlError(PydanticValueError): | |
code = 'url' | |
class UrlSchemeError(UrlError): | |
code = 'url.scheme' | |
msg_template = 'invalid or missing URL scheme' | |
class UrlSchemePermittedError(UrlError): | |
code = 'url.scheme' | |
msg_template = 'URL scheme not permitted' | |
def __init__(self, allowed_schemes: Set[str]): | |
super().__init__(allowed_schemes=allowed_schemes) | |
class UrlUserInfoError(UrlError): | |
code = 'url.userinfo' | |
msg_template = 'userinfo required in URL but missing' | |
class UrlHostError(UrlError): | |
code = 'url.host' | |
msg_template = 'URL host invalid' | |
class UrlHostTldError(UrlError): | |
code = 'url.host' | |
msg_template = 'URL host invalid, top level domain required' | |
class UrlPortError(UrlError): | |
code = 'url.port' | |
msg_template = 'URL port invalid, port cannot exceed 65535' | |
class UrlExtraError(UrlError): | |
code = 'url.extra' | |
msg_template = 'URL invalid, extra characters found after valid URL: {extra!r}' | |
class EnumMemberError(PydanticTypeError): | |
code = 'enum' | |
def __str__(self) -> str: | |
permitted = ', '.join(repr(v.value) for v in self.enum_values) # type: ignore | |
return f'value is not a valid enumeration member; permitted: {permitted}' | |
class IntegerError(PydanticTypeError): | |
msg_template = 'value is not a valid integer' | |
class FloatError(PydanticTypeError): | |
msg_template = 'value is not a valid float' | |
class PathError(PydanticTypeError): | |
msg_template = 'value is not a valid path' | |
class _PathValueError(PydanticValueError): | |
def __init__(self, *, path: Path) -> None: | |
super().__init__(path=str(path)) | |
class PathNotExistsError(_PathValueError): | |
code = 'path.not_exists' | |
msg_template = 'file or directory at path "{path}" does not exist' | |
class PathNotAFileError(_PathValueError): | |
code = 'path.not_a_file' | |
msg_template = 'path "{path}" does not point to a file' | |
class PathNotADirectoryError(_PathValueError): | |
code = 'path.not_a_directory' | |
msg_template = 'path "{path}" does not point to a directory' | |
class PyObjectError(PydanticTypeError): | |
msg_template = 'ensure this value contains valid import path or valid callable: {error_message}' | |
class SequenceError(PydanticTypeError): | |
msg_template = 'value is not a valid sequence' | |
class IterableError(PydanticTypeError): | |
msg_template = 'value is not a valid iterable' | |
class ListError(PydanticTypeError): | |
msg_template = 'value is not a valid list' | |
class SetError(PydanticTypeError): | |
msg_template = 'value is not a valid set' | |
class FrozenSetError(PydanticTypeError): | |
msg_template = 'value is not a valid frozenset' | |
class DequeError(PydanticTypeError): | |
msg_template = 'value is not a valid deque' | |
class TupleError(PydanticTypeError): | |
msg_template = 'value is not a valid tuple' | |
class TupleLengthError(PydanticValueError): | |
code = 'tuple.length' | |
msg_template = 'wrong tuple length {actual_length}, expected {expected_length}' | |
def __init__(self, *, actual_length: int, expected_length: int) -> None: | |
super().__init__(actual_length=actual_length, expected_length=expected_length) | |
class ListMinLengthError(PydanticValueError): | |
code = 'list.min_items' | |
msg_template = 'ensure this value has at least {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class ListMaxLengthError(PydanticValueError): | |
code = 'list.max_items' | |
msg_template = 'ensure this value has at most {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class ListUniqueItemsError(PydanticValueError): | |
code = 'list.unique_items' | |
msg_template = 'the list has duplicated items' | |
class SetMinLengthError(PydanticValueError): | |
code = 'set.min_items' | |
msg_template = 'ensure this value has at least {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class SetMaxLengthError(PydanticValueError): | |
code = 'set.max_items' | |
msg_template = 'ensure this value has at most {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class FrozenSetMinLengthError(PydanticValueError): | |
code = 'frozenset.min_items' | |
msg_template = 'ensure this value has at least {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class FrozenSetMaxLengthError(PydanticValueError): | |
code = 'frozenset.max_items' | |
msg_template = 'ensure this value has at most {limit_value} items' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class AnyStrMinLengthError(PydanticValueError): | |
code = 'any_str.min_length' | |
msg_template = 'ensure this value has at least {limit_value} characters' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class AnyStrMaxLengthError(PydanticValueError): | |
code = 'any_str.max_length' | |
msg_template = 'ensure this value has at most {limit_value} characters' | |
def __init__(self, *, limit_value: int) -> None: | |
super().__init__(limit_value=limit_value) | |
class StrError(PydanticTypeError): | |
msg_template = 'str type expected' | |
class StrRegexError(PydanticValueError): | |
code = 'str.regex' | |
msg_template = 'string does not match regex "{pattern}"' | |
def __init__(self, *, pattern: str) -> None: | |
super().__init__(pattern=pattern) | |
class _NumberBoundError(PydanticValueError): | |
def __init__(self, *, limit_value: Union[int, float, Decimal]) -> None: | |
super().__init__(limit_value=limit_value) | |
class NumberNotGtError(_NumberBoundError): | |
code = 'number.not_gt' | |
msg_template = 'ensure this value is greater than {limit_value}' | |
class NumberNotGeError(_NumberBoundError): | |
code = 'number.not_ge' | |
msg_template = 'ensure this value is greater than or equal to {limit_value}' | |
class NumberNotLtError(_NumberBoundError): | |
code = 'number.not_lt' | |
msg_template = 'ensure this value is less than {limit_value}' | |
class NumberNotLeError(_NumberBoundError): | |
code = 'number.not_le' | |
msg_template = 'ensure this value is less than or equal to {limit_value}' | |
class NumberNotFiniteError(PydanticValueError): | |
code = 'number.not_finite_number' | |
msg_template = 'ensure this value is a finite number' | |
class NumberNotMultipleError(PydanticValueError): | |
code = 'number.not_multiple' | |
msg_template = 'ensure this value is a multiple of {multiple_of}' | |
def __init__(self, *, multiple_of: Union[int, float, Decimal]) -> None: | |
super().__init__(multiple_of=multiple_of) | |
class DecimalError(PydanticTypeError): | |
msg_template = 'value is not a valid decimal' | |
class DecimalIsNotFiniteError(PydanticValueError): | |
code = 'decimal.not_finite' | |
msg_template = 'value is not a valid decimal' | |
class DecimalMaxDigitsError(PydanticValueError): | |
code = 'decimal.max_digits' | |
msg_template = 'ensure that there are no more than {max_digits} digits in total' | |
def __init__(self, *, max_digits: int) -> None: | |
super().__init__(max_digits=max_digits) | |
class DecimalMaxPlacesError(PydanticValueError): | |
code = 'decimal.max_places' | |
msg_template = 'ensure that there are no more than {decimal_places} decimal places' | |
def __init__(self, *, decimal_places: int) -> None: | |
super().__init__(decimal_places=decimal_places) | |
class DecimalWholeDigitsError(PydanticValueError): | |
code = 'decimal.whole_digits' | |
msg_template = 'ensure that there are no more than {whole_digits} digits before the decimal point' | |
def __init__(self, *, whole_digits: int) -> None: | |
super().__init__(whole_digits=whole_digits) | |
class DateTimeError(PydanticValueError): | |
msg_template = 'invalid datetime format' | |
class DateError(PydanticValueError): | |
msg_template = 'invalid date format' | |
class DateNotInThePastError(PydanticValueError): | |
code = 'date.not_in_the_past' | |
msg_template = 'date is not in the past' | |
class DateNotInTheFutureError(PydanticValueError): | |
code = 'date.not_in_the_future' | |
msg_template = 'date is not in the future' | |
class TimeError(PydanticValueError): | |
msg_template = 'invalid time format' | |
class DurationError(PydanticValueError): | |
msg_template = 'invalid duration format' | |
class HashableError(PydanticTypeError): | |
msg_template = 'value is not a valid hashable' | |
class UUIDError(PydanticTypeError): | |
msg_template = 'value is not a valid uuid' | |
class UUIDVersionError(PydanticValueError): | |
code = 'uuid.version' | |
msg_template = 'uuid version {required_version} expected' | |
def __init__(self, *, required_version: int) -> None: | |
super().__init__(required_version=required_version) | |
class ArbitraryTypeError(PydanticTypeError): | |
code = 'arbitrary_type' | |
msg_template = 'instance of {expected_arbitrary_type} expected' | |
def __init__(self, *, expected_arbitrary_type: Type[Any]) -> None: | |
super().__init__(expected_arbitrary_type=display_as_type(expected_arbitrary_type)) | |
class ClassError(PydanticTypeError): | |
code = 'class' | |
msg_template = 'a class is expected' | |
class SubclassError(PydanticTypeError): | |
code = 'subclass' | |
msg_template = 'subclass of {expected_class} expected' | |
def __init__(self, *, expected_class: Type[Any]) -> None: | |
super().__init__(expected_class=display_as_type(expected_class)) | |
class JsonError(PydanticValueError): | |
msg_template = 'Invalid JSON' | |
class JsonTypeError(PydanticTypeError): | |
code = 'json' | |
msg_template = 'JSON object must be str, bytes or bytearray' | |
class PatternError(PydanticValueError): | |
code = 'regex_pattern' | |
msg_template = 'Invalid regular expression' | |
class DataclassTypeError(PydanticTypeError): | |
code = 'dataclass' | |
msg_template = 'instance of {class_name}, tuple or dict expected' | |
class CallableError(PydanticTypeError): | |
msg_template = '{value} is not callable' | |
class EnumError(PydanticTypeError): | |
code = 'enum_instance' | |
msg_template = '{value} is not a valid Enum instance' | |
class IntEnumError(PydanticTypeError): | |
code = 'int_enum_instance' | |
msg_template = '{value} is not a valid IntEnum instance' | |
class IPvAnyAddressError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 or IPv6 address' | |
class IPvAnyInterfaceError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 or IPv6 interface' | |
class IPvAnyNetworkError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 or IPv6 network' | |
class IPv4AddressError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 address' | |
class IPv6AddressError(PydanticValueError): | |
msg_template = 'value is not a valid IPv6 address' | |
class IPv4NetworkError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 network' | |
class IPv6NetworkError(PydanticValueError): | |
msg_template = 'value is not a valid IPv6 network' | |
class IPv4InterfaceError(PydanticValueError): | |
msg_template = 'value is not a valid IPv4 interface' | |
class IPv6InterfaceError(PydanticValueError): | |
msg_template = 'value is not a valid IPv6 interface' | |
class ColorError(PydanticValueError): | |
msg_template = 'value is not a valid color: {reason}' | |
class StrictBoolError(PydanticValueError): | |
msg_template = 'value is not a valid boolean' | |
class NotDigitError(PydanticValueError): | |
code = 'payment_card_number.digits' | |
msg_template = 'card number is not all digits' | |
class LuhnValidationError(PydanticValueError): | |
code = 'payment_card_number.luhn_check' | |
msg_template = 'card number is not luhn valid' | |
class InvalidLengthForBrand(PydanticValueError): | |
code = 'payment_card_number.invalid_length_for_brand' | |
msg_template = 'Length for a {brand} card must be {required_length}' | |
class InvalidByteSize(PydanticValueError): | |
msg_template = 'could not parse value and unit from byte string' | |
class InvalidByteSizeUnit(PydanticValueError): | |
msg_template = 'could not interpret byte unit: {unit}' | |
class MissingDiscriminator(PydanticValueError): | |
code = 'discriminated_union.missing_discriminator' | |
msg_template = 'Discriminator {discriminator_key!r} is missing in value' | |
class InvalidDiscriminator(PydanticValueError): | |
code = 'discriminated_union.invalid_discriminator' | |
msg_template = ( | |
'No match for discriminator {discriminator_key!r} and value {discriminator_value!r} ' | |
'(allowed values: {allowed_values})' | |
) | |
def __init__(self, *, discriminator_key: str, discriminator_value: Any, allowed_values: Sequence[Any]) -> None: | |
super().__init__( | |
discriminator_key=discriminator_key, | |
discriminator_value=discriminator_value, | |
allowed_values=', '.join(map(repr, allowed_values)), | |
) | |