8'hqpUdZddlmZddlZddlZddlmZddlm Z ddl m Z m Z m Z mZmZmZmZddlmZmZddlmZdd lmZmZmZmZd d lmZmZmZmZd d l m!Z!d d l"m#Z#ejHdkrddlm%Z%nddl m%Z%ejLZ'ejPdLddiejRGddZ*ejPdLddiejRGddZ+ejPdLddiejRGddZ,ejPdLddiejRGddZ-e rGdde%Z.Gdde%Z/Gdde%Z0Gd d!e%Z1ee/ejde.ejffZ4ee1ejje0ejlfZ7ee8e e e fe9e e fee fZ:d"e;d#<ed$ee4e:f%Z<ed&ee7e:f%Z=ed'Z>d"e;d(<ed)d)d* dMd+Z?ed)d)d* dNd,Z?ed)d)d- dOd.Z?d/ded0 dPd1Z?ed2Z@ed3d4ZAGd5d6eje%eAZCGd7d8e%e@ZDGd9d:e%e@ZEGd;de%ZGGd?d@e%ZHGdAdBe%ZIe e@ge@fZJ e e@ejge@fZL eeEe@eDe@fZMeeHeIeFeGfZNeeLe@eJe@fZOe dQdCZPe dRdDZPe dSdEZP dTdFZPedGZQe reeQd)fZRn)ejPdLiejRGdHdIZRe reeQd)fZSyejPdLiejRGdJdKZSy)UzBThis module contains related classes and functions for validation.) annotationsN) partialmethod) FunctionType) TYPE_CHECKINGAnyCallableTypeVarUnioncastoverload)PydanticUndefined core_schema)r) AnnotatedLiteralSelf TypeAlias)_core_metadata _decorators _generics_internal_dataclass)GetCoreSchemaHandler)PydanticUserError) )ProtocolfrozenTc6eZdZUdZded<ddZeddZy) AfterValidatora8Usage docs: https://docs.pydantic.dev/2.9/concepts/validators/#annotated-validators A metadata class that indicates that a validation should be applied **after** the inner validation logic. Attributes: func: The validator function. Example: ```py from typing_extensions import Annotated from pydantic import AfterValidator, BaseModel, ValidationError MyInt = Annotated[int, AfterValidator(lambda v: v + 1)] class Model(BaseModel): a: MyInt print(Model(a=1).a) #> 2 try: Model(a='a') except ValidationError as e: print(e.json(indent=2)) ''' [ { "type": "int_parsing", "loc": [ "a" ], "msg": "Input should be a valid integer, unable to parse string as an integer", "input": "a", "url": "https://errors.pydantic.dev/2/v/int_parsing" } ] ''' ``` Kcore_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunctionfunccD||}t|jd}|rFttj|j}tj |||j Sttj|j}tj||S)Nafter)schema field_name)r$) _inspect_validatorr!r rWithInfoValidatorFunction"with_info_after_validator_functionr%NoInfoValidatorFunction no_info_after_validator_function)self source_typehandlerr$info_argr!s Z/var/www/html/trade_iq/venv/lib/python3.12/site-packages/pydantic/functional_validators.py__get_pydantic_core_schema__z+AfterValidator.__get_pydantic_core_schema__Hsz%%dii9  ==tyyIDAA$vbibtbtu u ;;TYYGD??VT Tc(||jS)Nr!r3cls decorators r/_from_decoratorzAfterValidator._from_decoratorRs ''r1Nr,rr-rreturncore_schema.CoreSchemar6z>_decorators.Decorator[_decorators.FieldValidatorDecoratorInfo]r9r)__name__ __module__ __qualname____doc____annotations__r0 classmethodr7r1r/rrs+'R VUU((r1rcDeZdZUdZded<eZded<d dZed dZ y) BeforeValidatoradUsage docs: https://docs.pydantic.dev/2.9/concepts/validators/#annotated-validators A metadata class that indicates that a validation should be applied **before** the inner validation logic. Attributes: func: The validator function. json_schema_input_type: The input type of the function. This is only used to generate the appropriate JSON Schema (in validation mode). Example: ```py from typing_extensions import Annotated from pydantic import BaseModel, BeforeValidator MyInt = Annotated[int, BeforeValidator(lambda v: v + 1)] class Model(BaseModel): a: MyInt print(Model(a=1).a) #> 2 try: Model(a='a') except TypeError as e: print(e) #> can only concatenate str (not "int") to str ``` r r!rjson_schema_input_typec||}|jturdn|j|j}tj|}t |j d}|rGttj|j }tj|||j|Sttj|j }tj|||S)Njs_input_core_schemabeforer$r%metadatar$rK)rEr generate_schemarbuild_metadata_dictr&r!r rr'#with_info_before_validator_functionr%r)!no_info_before_validator_functionr+r,r-r$ input_schemarKr.r!s r/r0z,BeforeValidator.__get_pydantic_core_schema__{s%**.?? (()D)DE  "55<X%dii:  ==tyyIDBB"--!   ;;TYYGD@@f_gh hr1cR||j|jjSN)r!rEr!inforEr4s r/r7zBeforeValidator._from_decorator##,>>#H#H  r1Nr8r; r<r=r>r?r@r rEr0rAr7rBr1r/rDrDWs5> VU"3C3i,  r1rDcDeZdZUdZded<eZded<d dZed dZ y) PlainValidatoraUsage docs: https://docs.pydantic.dev/2.9/concepts/validators/#annotated-validators A metadata class that indicates that a validation should be applied **instead** of the inner validation logic. Attributes: func: The validator function. json_schema_input_type: The input type of the function. This is only used to generate the appropriate JSON Schema (in validation mode). If not provided, will default to `Any`. Example: ```py from typing_extensions import Annotated from pydantic import BaseModel, PlainValidator MyInt = Annotated[int, PlainValidator(lambda v: int(v) + 1)] class Model(BaseModel): a: MyInt print(Model(a='1').a) #> 2 ``` r r!rrEc Bddlm} ||}|jdtjd||j |}|j |j }tj|}t|jd}|rGttj|j} tj| |j||Sttj|j} tj | || S#|$rd}YwxYw) NrPydanticSchemaGenerationError serializationc||SNrBvhs r/z=PlainValidator.__get_pydantic_core_schema__.. !A$r1)functionr$ return_schemarGplain)r%r^rK)r^rK)pydanticr]getr#wrap_serializer_function_ser_schemarMrErrNr&r!r r'"with_info_plain_validator_functionr%r) no_info_plain_validator_function) r+r,r-r]r$r^rRrKr.r!s r/r0z+PlainValidator.__get_pydantic_core_schema__s  ; ![)F#JJ??.!")"9"9+"FM..t/J/JK !55<X%dii9  ==tyyIDAA"--+!   ;;TYYGD??+! #- ! M !sADDDcR||j|jjSrTrUr4s r/r7zPlainValidator._from_decoratorrWr1Nr8r;) r<r=r>r?r@rrEr0rAr7rBr1r/rZrZs52 VU"%C%)V  r1rZcDeZdZUdZded<eZded<d dZed dZ y) WrapValidatoraUsage docs: https://docs.pydantic.dev/2.9/concepts/validators/#annotated-validators A metadata class that indicates that a validation should be applied **around** the inner validation logic. Attributes: func: The validator function. json_schema_input_type: The input type of the function. This is only used to generate the appropriate JSON Schema (in validation mode). ```py from datetime import datetime from typing_extensions import Annotated from pydantic import BaseModel, ValidationError, WrapValidator def validate_timestamp(v, handler): if v == 'now': # we don't want to bother with further validation, just return the new value return datetime.now() try: return handler(v) except ValidationError: # validation failed, in this case we want to return a default value return datetime(2000, 1, 1) MyTimestamp = Annotated[datetime, WrapValidator(validate_timestamp)] class Model(BaseModel): a: MyTimestamp print(Model(a='now').a) #> 2032-01-02 03:04:05.000006 print(Model(a='invalid').a) #> 2000-01-01 00:00:00 ``` zScore_schema.NoInfoWrapValidatorFunction | core_schema.WithInfoWrapValidatorFunctionr!rrEc||}|jturdn|j|j}tj|}t |j d}|rGttj|j }tj|||j|Sttj|j }tj|||S)NrGwraprJrL)rEr rMrrNr&r!r rWithInfoWrapValidatorFunction!with_info_wrap_validator_functionr%NoInfoWrapValidatorFunctionno_info_wrap_validator_functionrQs r/r0z*WrapValidator.__get_pydantic_core_schema__s%**.?? (()D)DE  "55<X%dii8  AA499MD@@"--!   ??KD>>! r1cR||j|jjSrTrUr4s r/r7zWrapValidator._from_decorator/rWr1Nr8r;rXrBr1r/rprps5$L ^]"3C34  r1rpceZdZddZy)_OnlyValueValidatorClsMethodcyr`rBr+r5values r/__call__z%_OnlyValueValidatorClsMethod.__call__:r1Nr5rr|rr9rr<r=r>r}rBr1r/ryry9s?r1ryceZdZddZy)_V2ValidatorClsMethodcyr`rBr+r5r|rVs r/r}z_V2ValidatorClsMethod.__call__=r~r1Nr5rr|rrV_core_schema.ValidationInfor9rrrBr1r/rr<sbr1rceZdZddZy) _OnlyValueWrapValidatorClsMethodcyr`rBr+r5r|r-s r/r}z)_OnlyValueWrapValidatorClsMethod.__call__@r~r1N)r5rr|rr-)_core_schema.ValidatorFunctionWrapHandlerr9rrrBr1r/rr?ssr1rc(eZdZ ddZy)_V2WrapValidatorClsMethodcyr`rBr+r5r|r-rVs r/r}z"_V2WrapValidatorClsMethod.__call__Csr1N) r5rr|rr-rrVrr9rrrBr1r/rrBs7   ?   .   r1rr_PartialClsOrStaticMethod"_V2BeforeAfterOrPlainValidatorType)bound_V2WrapValidatorType)rIr#rrrhFieldValidatorModes.) check_fieldsrEcyr`rBfieldmoderrEfieldss r/field_validatorres>Ar1cyr`rBrs r/rrps Z]r1)rrcyr`rB)rrrrs r/rr{s Z]r1r#)rrrEc t|tr tdddvrturtddtur dk(rt|gt dDs td d  d fd }|S) a1Usage docs: https://docs.pydantic.dev/2.9/concepts/validators/#field-validators Decorate methods on the class indicating that they should be used to validate fields. Example usage: ```py from typing import Any from pydantic import ( BaseModel, ValidationError, field_validator, ) class Model(BaseModel): a: str @field_validator('a') @classmethod def ensure_foobar(cls, v: Any): if 'foobar' not in v: raise ValueError('"foobar" not found in a') return v print(repr(Model(a='this is foobar good'))) #> Model(a='this is foobar good') try: Model(a='snap') except ValidationError as exc_info: print(exc_info) ''' 1 validation error for Model a Value error, "foobar" not found in a [type=value_error, input_value='snap', input_type=str] ''' ``` For more in depth examples, see [Field Validators](../concepts/validators.md#field-validators). Args: field: The first field the `field_validator` should be called on; this is separate from `fields` to ensure an error is raised if you don't pass at least one. *fields: Additional field(s) the `field_validator` should be called on. mode: Specifies whether to validate the fields before or after validation. check_fields: Whether to check that the fields actually exist on the model. json_schema_input_type: The input type of the function. This is only used to generate the appropriate JSON Schema (in validation mode) and can only specified when `mode` is either `'before'`, `'plain'` or `'wrap'`. Returns: A decorator that can be used to decorate a function to be used as a field_validator. Raises: PydanticUserError: - If `@field_validator` is used bare (with no fields). - If the args passed to `@field_validator` as fields are not strings. - If `@field_validator` applied to instance methods. z`@field_validator` should be used with fields and keyword arguments, not bare. E.g. usage should be `@validator('', ...)`zvalidator-no-fieldscode)rIrhrrz;`json_schema_input_type` can't be used when mode is set to zvalidator-input-typerhc3<K|]}t|tywr`) isinstancestr).0rs r/ z"field_validator..s:%z%%:sz`@field_validator` fields should be passed as separate string args. E.g. usage should be `@validator('', '', ...)`zvalidator-invalid-fieldsctj|r tddtj|}tj}tj ||S)Nz8`@field_validator` cannot be applied to instance methodszvalidator-instance-methodr)rrrrE)ris_instance_method_from_sigr%ensure_classmethod_based_on_signatureFieldValidatorDecoratorInfoPydanticDescriptorProxy)fdec_inforrrErs r/deczfield_validator..decsg  2 21 5#JQl   = =a @::r?r}rBr1r/rrs+g ,0  )   r1rc(eZdZdZ ddZy)ModelWrapValidatorWithoutInfozA `@model_validator` decorated function signature. This is used when `mode='wrap'` and the function does not have info argument. cyr`rBrs r/r}z&ModelWrapValidatorWithoutInfo.__call__sr1N)r5type[_ModelType]r|rr-%ModelWrapValidatorHandler[_ModelType]r9rrrBr1r/rrs2     7   r1rc,eZdZdZ ddZy)ModelWrapValidatorzSA `@model_validator` decorated function signature. This is used when `mode='wrap'`.cyr`rBrs r/r}zModelWrapValidator.__call__sr1N) r5rr|rr-rrVrr9rrrBr1r/rrs:]     7 *   r1rc eZdZdZ ddZy)#FreeModelBeforeValidatorWithoutInfoA `@model_validator` decorated function signature. This is used when `mode='before'` and the function does not have info argument. cyr`rB)r+r|s r/r}z,FreeModelBeforeValidatorWithoutInfo.__call__)sr1N)r|rr9rrrBr1r/rr$s    r1rc$eZdZdZ ddZy)ModelBeforeValidatorWithoutInforcyr`rBr{s r/r}z(ModelBeforeValidatorWithoutInfo.__call__8r1NrrrBr1r/rr3s(    r1rc$eZdZdZ ddZy)FreeModelBeforeValidatorUA `@model_validator` decorated function signature. This is used when `mode='before'`.cyr`rB)r+r|rVs r/r}z!FreeModelBeforeValidator.__call__Frr1N)r|rrVrr9rrrBr1r/rrCs(_   *  r1rc(eZdZdZ ddZy)ModelBeforeValidatorrcyr`rBrs r/r}zModelBeforeValidator.__call__Tsr1NrrrBr1r/rrQs0_     *   r1rcyr`rBrs r/model_validatorro r1cyr`rBrs r/rrxrr1cyr`rBrs r/rrrr1cdfd }|S)a"Usage docs: https://docs.pydantic.dev/2.9/concepts/validators/#model-validators Decorate model methods for validation purposes. Example usage: ```py from typing_extensions import Self from pydantic import BaseModel, ValidationError, model_validator class Square(BaseModel): width: float height: float @model_validator(mode='after') def verify_square(self) -> Self: if self.width != self.height: raise ValueError('width and height do not match') return self s = Square(width=1, height=1) print(repr(s)) #> Square(width=1.0, height=1.0) try: Square(width=1, height=2) except ValidationError as e: print(e) ''' 1 validation error for Square Value error, width and height do not match [type=value_error, input_value={'width': 1, 'height': 2}, input_type=dict] ''' ``` For more in depth examples, see [Model Validators](../concepts/validators.md#model-validators). Args: mode: A required string literal that specifies the validation mode. It can be one of the following: 'wrap', 'before', or 'after'. Returns: A decorator that can be used to decorate a function to be used as a model validator. ctj|}tj}tj||S)Nr)rrModelValidatorDecoratorInfor)rrrs r/rzmodel_validator..decs6  = =a @::E221h??r1)rrr9rrB)rrs` r/rrs`@ Jr1AnyTypecLeZdZdZeddZeddZejZy) InstanceOfuGeneric type for annotating a type that is an instance of a given class. Example: ```py from pydantic import BaseModel, InstanceOf class Foo: ... class Bar(BaseModel): foo: InstanceOf[Foo] Bar(foo=Foo()) try: Bar(foo=42) except ValidationError as e: print(e) """ [ │ { │ │ 'type': 'is_instance_of', │ │ 'loc': ('foo',), │ │ 'msg': 'Input should be an instance of Foo', │ │ 'input': 42, │ │ 'ctx': {'class': 'Foo'}, │ │ 'url': 'https://errors.pydantic.dev/0.38.0/v/is_instance_of' │ } ] """ ``` c"t||fSr`)rr5items r/__class_getitem__zInstanceOf.__class_getitem__sT35[) )r1cddlm}tjt j |xs|} ||}tj d||d<tj||S#|$r|cYSwxYw)Nrr\c||Sr`rBras r/rdz9InstanceOf.__get_pydantic_core_schema__..rer1rfr$r^) python_schema json_schema)rir]ris_instance_schemar get_originrkjson_or_python_schema)r5sourcer-r]instance_of_schemaoriginal_schemas r/r0z'InstanceOf.__get_pydantic_core_schema__s >"-!?!? @T@TU[@\@f`f!g  x")&/ 7B6e6e.7"?3#88GYgvww1 *)) *sA..A87A8N)rrr9rrrr-rr9r:) r<r=r>r?rArr0object__hash__rBr1r/rrs= @  *  *  x  x&??r1rcBeZdZdZddZeddZejZy)SkipValidationaIf this is applied as an annotation (e.g., via `x: Annotated[int, SkipValidation]`), validation will be skipped. You can also use `SkipValidation[int]` as a shorthand for `Annotated[int, SkipValidation]`. This can be useful if you want to use a type annotation for documentation/IDE/type-checking purposes, and know that it is safe to skip validation for one or more of the fields. Because this converts the validation schema to `any_schema`, subsequent annotation-applied transformations may not have the expected effects. Therefore, when used, this annotation should generally be the final annotation applied to a type. c(t|tfSr`)rrrs r/rz SkipValidation.__class_getitem__sT>#334 4r1c||tjfdg}tj|tjdS)Nc|Sr`rB)_crcrs r/rdz=SkipValidation.__get_pydantic_core_schema__.. sabcrasr1)js_annotation_functionsc||Sr`rBras r/rdz=SkipValidation.__get_pydantic_core_schema__..$rer1r)rKr^)rrNr any_schemark)r5rr-rKrs @r/r0z+SkipValidation.__get_pydantic_core_schema__sI%foO%99SsRtuH))!)MM. r1N)rrr9rr) r<r=r>r?rrAr0rrrBr1r/rr s+  5    ??r1rrB) rrrrrLiteral['wrap']r bool | NonerErr9z6Callable[[_V2WrapValidatorType], _V2WrapValidatorType]) rrrrrzLiteral['before', 'plain']rrrErr9RCallable[[_V2BeforeAfterOrPlainValidatorType], _V2BeforeAfterOrPlainValidatorType]) rrrrrLiteral['after']rrr9r) rrrrrrrrrErr9zCallable[[Any], Any])rrr9z|Callable[[_AnyModelWrapValidator[_ModelType]], _decorators.PydanticDescriptorProxy[_decorators.ModelValidatorDecoratorInfo]])rzLiteral['before']r9zrCallable[[_AnyModelBeforeValidator], _decorators.PydanticDescriptorProxy[_decorators.ModelValidatorDecoratorInfo]])rrr9z}Callable[[_AnyModelAfterValidator[_ModelType]], _decorators.PydanticDescriptorProxy[_decorators.ModelValidatorDecoratorInfo]])rz"Literal['wrap', 'before', 'after']r9r)Tr? __future__r _annotations dataclassessys functoolsrtypesrtypingrrrr r r r pydantic_corer r _core_schematyping_extensionsrrrr _internalrrrrannotated_handlersrerrorsr version_inforinspect_validatorr& dataclass slots_truerrDrZrpryrrrr'r) _V2Validatorrsru_V2WrapValidatorrA staticmethodrr@rrrrrrValidatorFunctionWrapHandlerrrrrrrrModelAfterValidatorWithoutInfoValidationInfoModelAfterValidator_AnyModelWrapValidator_AnyModelBeforeValidator_AnyModelAfterValidatorrrrrrBr1r/rsH2 #OOO85AARR4%g* 22EdE&9&D&DE8(8(F8(vEdE&9&D&DE> > F> BEdE&9&D&DEM M FM `EdE&9&D&DEI I FI X@x@cct8tH..$,, .L!22(00 2,1S#s]1K\Z]_bZbMcersvew1w+xyx)0,L";;<*&##9GWYrGrAst!()K!LYL !$"% A AA  A  A  A<A A !$"% ] ]] % ]  ]  ]X] ] ! # ] ]]  ]  ] X ] ]!( $"3 k kk  k  k  kk\\ " ~6   I I8T`Ka  HZ$8" *-  (  h  x  8 "*:, *B!C L,G,GH*TUZ1*=?\]g?hhi 24WYxx 3J ?A_`jAk kl         6 ,6 6r ) 7C<(J[<0;;<9#9#=9#xw|,N[<0;;<##=#r1