opt
/
hc_python
/
lib
/
python3.12
/
site-packages
/
pydantic
/
v1
/
Go to Home Directory
+
Upload
Create File
root@0UT1S:~$
Execute
By Order of Mr.0UT1S
[DIR] ..
N/A
[DIR] __pycache__
N/A
__init__.py
2.88 KB
Rename
Delete
_hypothesis_plugin.py
14.50 KB
Rename
Delete
annotated_types.py
3.08 KB
Rename
Delete
class_validators.py
14.33 KB
Rename
Delete
color.py
16.45 KB
Rename
Delete
config.py
6.38 KB
Rename
Delete
dataclasses.py
17.75 KB
Rename
Delete
datetime_parse.py
7.54 KB
Rename
Delete
decorator.py
10.10 KB
Rename
Delete
env_settings.py
13.77 KB
Rename
Delete
error_wrappers.py
5.07 KB
Rename
Delete
errors.py
17.31 KB
Rename
Delete
fields.py
49.46 KB
Rename
Delete
generics.py
17.45 KB
Rename
Delete
json.py
3.31 KB
Rename
Delete
main.py
43.50 KB
Rename
Delete
mypy.py
37.87 KB
Rename
Delete
networks.py
21.61 KB
Rename
Delete
parse.py
1.78 KB
Rename
Delete
py.typed
0 bytes
Rename
Delete
schema.py
46.64 KB
Rename
Delete
tools.py
2.81 KB
Rename
Delete
types.py
34.62 KB
Rename
Delete
typing.py
18.93 KB
Rename
Delete
utils.py
25.31 KB
Rename
Delete
validators.py
21.48 KB
Rename
Delete
version.py
1.01 KB
Rename
Delete
import warnings from collections import ChainMap from functools import partial, partialmethod, wraps from itertools import chain from types import FunctionType from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Type, Union, overload from pydantic.v1.errors import ConfigError from pydantic.v1.typing import AnyCallable from pydantic.v1.utils import ROOT_KEY, in_ipython if TYPE_CHECKING: from pydantic.v1.typing import AnyClassMethod class Validator: __slots__ = 'func', 'pre', 'each_item', 'always', 'check_fields', 'skip_on_failure' def __init__( self, func: AnyCallable, pre: bool = False, each_item: bool = False, always: bool = False, check_fields: bool = False, skip_on_failure: bool = False, ): self.func = func self.pre = pre self.each_item = each_item self.always = always self.check_fields = check_fields self.skip_on_failure = skip_on_failure if TYPE_CHECKING: from inspect import Signature from pydantic.v1.config import BaseConfig from pydantic.v1.fields import ModelField from pydantic.v1.types import ModelOrDc ValidatorCallable = Callable[[Optional[ModelOrDc], Any, Dict[str, Any], ModelField, Type[BaseConfig]], Any] ValidatorsList = List[ValidatorCallable] ValidatorListDict = Dict[str, List[Validator]] _FUNCS: Set[str] = set() VALIDATOR_CONFIG_KEY = '__validator_config__' ROOT_VALIDATOR_CONFIG_KEY = '__root_validator_config__' def validator( *fields: str, pre: bool = False, each_item: bool = False, always: bool = False, check_fields: bool = True, whole: Optional[bool] = None, allow_reuse: bool = False, ) -> Callable[[AnyCallable], 'AnyClassMethod']: """ Decorate methods on the class indicating that they should be used to validate fields :param fields: which field(s) the method should be called on :param pre: whether or not this validator should be called before the standard validators (else after) :param each_item: for complex objects (sets, lists etc.) whether to validate individual elements rather than the whole object :param always: whether this method and other validators should be called even if the value is missing :param check_fields: whether to check that the fields actually exist on the model :param allow_reuse: whether to track and raise an error if another validator refers to the decorated function """ if not fields: raise ConfigError('validator with no fields specified') elif isinstance(fields[0], FunctionType): raise ConfigError( "validators should be used with fields and keyword arguments, not bare. " # noqa: Q000 "E.g. usage should be `@validator('<field_name>', ...)`" ) elif not all(isinstance(field, str) for field in fields): raise ConfigError( "validator fields should be passed as separate string args. " # noqa: Q000 "E.g. usage should be `@validator('<field_name_1>', '<field_name_2>', ...)`" ) if whole is not None: warnings.warn( 'The "whole" keyword argument is deprecated, use "each_item" (inverse meaning, default False) instead', DeprecationWarning, ) assert each_item is False, '"each_item" and "whole" conflict, remove "whole"' each_item = not whole def dec(f: AnyCallable) -> 'AnyClassMethod': f_cls = _prepare_validator(f, allow_reuse) setattr( f_cls, VALIDATOR_CONFIG_KEY, ( fields, Validator(func=f_cls.__func__, pre=pre, each_item=each_item, always=always, check_fields=check_fields), ), ) return f_cls return dec @overload def root_validator(_func: AnyCallable) -> 'AnyClassMethod': ... @overload def root_validator( *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False ) -> Callable[[AnyCallable], 'AnyClassMethod']: ... def root_validator( _func: Optional[AnyCallable] = None, *, pre: bool = False, allow_reuse: bool = False, skip_on_failure: bool = False ) -> Union['AnyClassMethod', Callable[[AnyCallable], 'AnyClassMethod']]: """ Decorate methods on a model indicating that they should be used to validate (and perhaps modify) data either before or after standard model parsing/validation is performed. """ if _func: f_cls = _prepare_validator(_func, allow_reuse) setattr( f_cls, ROOT_VALIDATOR_CONFIG_KEY, Validator(func=f_cls.__func__, pre=pre, skip_on_failure=skip_on_failure) ) return f_cls def dec(f: AnyCallable) -> 'AnyClassMethod': f_cls = _prepare_validator(f, allow_reuse) setattr( f_cls, ROOT_VALIDATOR_CONFIG_KEY, Validator(func=f_cls.__func__, pre=pre, skip_on_failure=skip_on_failure) ) return f_cls return dec def _prepare_validator(function: AnyCallable, allow_reuse: bool) -> 'AnyClassMethod': """ Avoid validators with duplicated names since without this, validators can be overwritten silently which generally isn't the intended behaviour, don't run in ipython (see #312) or if allow_reuse is False. """ f_cls = function if isinstance(function, classmethod) else classmethod(function) if not in_ipython() and not allow_reuse: ref = ( getattr(f_cls.__func__, '__module__', '<No __module__>') + '.' + getattr(f_cls.__func__, '__qualname__', f'<No __qualname__: id:{id(f_cls.__func__)}>') ) if ref in _FUNCS: raise ConfigError(f'duplicate validator function "{ref}"; if this is intended, set `allow_reuse=True`') _FUNCS.add(ref) return f_cls class ValidatorGroup: def __init__(self, validators: 'ValidatorListDict') -> None: self.validators = validators self.used_validators = {'*'} def get_validators(self, name: str) -> Optional[Dict[str, Validator]]: self.used_validators.add(name) validators = self.validators.get(name, []) if name != ROOT_KEY: validators += self.validators.get('*', []) if validators: return {getattr(v.func, '__name__', f'<No __name__: id:{id(v.func)}>'): v for v in validators} else: return None def check_for_unused(self) -> None: unused_validators = set( chain.from_iterable( ( getattr(v.func, '__name__', f'<No __name__: id:{id(v.func)}>') for v in self.validators[f] if v.check_fields ) for f in (self.validators.keys() - self.used_validators) ) ) if unused_validators: fn = ', '.join(unused_validators) raise ConfigError( f"Validators defined with incorrect fields: {fn} " # noqa: Q000 f"(use check_fields=False if you're inheriting from the model and intended this)" ) def extract_validators(namespace: Dict[str, Any]) -> Dict[str, List[Validator]]: validators: Dict[str, List[Validator]] = {} for var_name, value in namespace.items(): validator_config = getattr(value, VALIDATOR_CONFIG_KEY, None) if validator_config: fields, v = validator_config for field in fields: if field in validators: validators[field].append(v) else: validators[field] = [v] return validators def extract_root_validators(namespace: Dict[str, Any]) -> Tuple[List[AnyCallable], List[Tuple[bool, AnyCallable]]]: from inspect import signature pre_validators: List[AnyCallable] = [] post_validators: List[Tuple[bool, AnyCallable]] = [] for name, value in namespace.items(): validator_config: Optional[Validator] = getattr(value, ROOT_VALIDATOR_CONFIG_KEY, None) if validator_config: sig = signature(validator_config.func) args = list(sig.parameters.keys()) if args[0] == 'self': raise ConfigError( f'Invalid signature for root validator {name}: {sig}, "self" not permitted as first argument, ' f'should be: (cls, values).' ) if len(args) != 2: raise ConfigError(f'Invalid signature for root validator {name}: {sig}, should be: (cls, values).') # check function signature if validator_config.pre: pre_validators.append(validator_config.func) else: post_validators.append((validator_config.skip_on_failure, validator_config.func)) return pre_validators, post_validators def inherit_validators(base_validators: 'ValidatorListDict', validators: 'ValidatorListDict') -> 'ValidatorListDict': for field, field_validators in base_validators.items(): if field not in validators: validators[field] = [] validators[field] += field_validators return validators def make_generic_validator(validator: AnyCallable) -> 'ValidatorCallable': """ Make a generic function which calls a validator with the right arguments. Unfortunately other approaches (eg. return a partial of a function that builds the arguments) is slow, hence this laborious way of doing things. It's done like this so validators don't all need **kwargs in their signature, eg. any combination of the arguments "values", "fields" and/or "config" are permitted. """ from inspect import signature if not isinstance(validator, (partial, partialmethod)): # This should be the default case, so overhead is reduced sig = signature(validator) args = list(sig.parameters.keys()) else: # Fix the generated argument lists of partial methods sig = signature(validator.func) args = [ k for k in signature(validator.func).parameters.keys() if k not in validator.args | validator.keywords.keys() ] first_arg = args.pop(0) if first_arg == 'self': raise ConfigError( f'Invalid signature for validator {validator}: {sig}, "self" not permitted as first argument, ' f'should be: (cls, value, values, config, field), "values", "config" and "field" are all optional.' ) elif first_arg == 'cls': # assume the second argument is value return wraps(validator)(_generic_validator_cls(validator, sig, set(args[1:]))) else: # assume the first argument was value which has already been removed return wraps(validator)(_generic_validator_basic(validator, sig, set(args))) def prep_validators(v_funcs: Iterable[AnyCallable]) -> 'ValidatorsList': return [make_generic_validator(f) for f in v_funcs if f] all_kwargs = {'values', 'field', 'config'} def _generic_validator_cls(validator: AnyCallable, sig: 'Signature', args: Set[str]) -> 'ValidatorCallable': # assume the first argument is value has_kwargs = False if 'kwargs' in args: has_kwargs = True args -= {'kwargs'} if not args.issubset(all_kwargs): raise ConfigError( f'Invalid signature for validator {validator}: {sig}, should be: ' f'(cls, value, values, config, field), "values", "config" and "field" are all optional.' ) if has_kwargs: return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field, config=config) elif args == set(): return lambda cls, v, values, field, config: validator(cls, v) elif args == {'values'}: return lambda cls, v, values, field, config: validator(cls, v, values=values) elif args == {'field'}: return lambda cls, v, values, field, config: validator(cls, v, field=field) elif args == {'config'}: return lambda cls, v, values, field, config: validator(cls, v, config=config) elif args == {'values', 'field'}: return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field) elif args == {'values', 'config'}: return lambda cls, v, values, field, config: validator(cls, v, values=values, config=config) elif args == {'field', 'config'}: return lambda cls, v, values, field, config: validator(cls, v, field=field, config=config) else: # args == {'values', 'field', 'config'} return lambda cls, v, values, field, config: validator(cls, v, values=values, field=field, config=config) def _generic_validator_basic(validator: AnyCallable, sig: 'Signature', args: Set[str]) -> 'ValidatorCallable': has_kwargs = False if 'kwargs' in args: has_kwargs = True args -= {'kwargs'} if not args.issubset(all_kwargs): raise ConfigError( f'Invalid signature for validator {validator}: {sig}, should be: ' f'(value, values, config, field), "values", "config" and "field" are all optional.' ) if has_kwargs: return lambda cls, v, values, field, config: validator(v, values=values, field=field, config=config) elif args == set(): return lambda cls, v, values, field, config: validator(v) elif args == {'values'}: return lambda cls, v, values, field, config: validator(v, values=values) elif args == {'field'}: return lambda cls, v, values, field, config: validator(v, field=field) elif args == {'config'}: return lambda cls, v, values, field, config: validator(v, config=config) elif args == {'values', 'field'}: return lambda cls, v, values, field, config: validator(v, values=values, field=field) elif args == {'values', 'config'}: return lambda cls, v, values, field, config: validator(v, values=values, config=config) elif args == {'field', 'config'}: return lambda cls, v, values, field, config: validator(v, field=field, config=config) else: # args == {'values', 'field', 'config'} return lambda cls, v, values, field, config: validator(v, values=values, field=field, config=config) def gather_all_validators(type_: 'ModelOrDc') -> Dict[str, 'AnyClassMethod']: all_attributes = ChainMap(*[cls.__dict__ for cls in type_.__mro__]) # type: ignore[arg-type,var-annotated] return { k: v for k, v in all_attributes.items() if hasattr(v, VALIDATOR_CONFIG_KEY) or hasattr(v, ROOT_VALIDATOR_CONFIG_KEY) }
Save