@g$dZddlmZddlZddlZddlZddlmZm Z ddlm Z m Z ddl m Z mZmZmZddlmZdd lmZdd lmZmZdd lmZd d lmZmZd dlmZd dlmZd dl m!Z!d dl"m#Z#d dl$m%Z%d dl&m'Z'd dl(m)Z)d dl*m+Z+ej,r'ddl-m.Z/ddl0m1Z1ddl2m3Z3Gdde/ej4Z5neZ6 d0d1d#Z7d$dd%d&d2d,Z8d3d/Z9dS)4z0Private logic for creating pydantic dataclasses.) annotationsN)partialwraps)AnyClassVar) ArgsKwargsSchemaSerializerSchemaValidator core_schema) TypeGuard)PydanticUndefinedAnnotation)PluggableSchemaValidatorcreate_schema_validator)PydanticDeprecatedSince20)_config _decorators)collect_dataclass_fields)GenerateSchema)get_standard_typevars_map)set_dataclass_mocks) NsResolver)CallbackGetCoreSchemaHandler)generate_pydantic_signature)LazyClassAttribute)DataclassInstance) ConfigDict) FieldInfocZeZdZUdZded<ded<ded<ded <d ed <d ed <ded<dS)PydanticDataclassaiA protocol containing attributes only available once a class has been decorated as a Pydantic dataclass. Attributes: __pydantic_config__: Pydantic-specific configuration settings for the dataclass. __pydantic_complete__: Whether dataclass building is completed, or if there are still undefined fields. __pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer. __pydantic_decorators__: Metadata containing the decorators defined on the dataclass. __pydantic_fields__: Metadata about the fields defined on the dataclass. __pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the dataclass. __pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the dataclass. zClassVar[ConfigDict]__pydantic_config__zClassVar[bool]__pydantic_complete__z ClassVar[core_schema.CoreSchema]__pydantic_core_schema__z$ClassVar[_decorators.DecoratorInfos]__pydantic_decorators__zClassVar[dict[str, FieldInfo]]__pydantic_fields__zClassVar[SchemaSerializer]__pydantic_serializer__z4ClassVar[SchemaValidator | PluggableSchemaValidator]__pydantic_validator__N)__name__ __module__ __qualname____doc____annotations__S/var/www/piapp/venv/lib/python3.11/site-packages/pydantic/_internal/_dataclasses.pyr!r!&sr  2111----BBBBEEEE;;;;;;;;TTTTTTr/r!clstype[StandardDataclass] ns_resolverNsResolver | Noneconfig_wrapper_config.ConfigWrapper | NonereturnNonecXt|}t||||}||_dS)zCollect and set `cls.__pydantic_fields__`. Args: cls: The class. ns_resolver: Namespace resolver to use when getting dataclass annotations. config_wrapper: The config wrapper instance, defaults to `None`. )r3 typevars_mapr5N)rrr&)r1r3r5r:fieldss r0set_dataclass_fieldsr<As?-S11L % c |j}d!d}|jd |_||_|j|_|s|jrt ||jd St|d rtj d tt||| t|}t|||}tdtt ||j|j|jd|_t+|dd} | r1| |t-t|jd |d} n||d } n:#t0$r-} |rt ||jd| jdYd} ~ d Sd} ~ wwxYw||j} || } n'#|j$rt ||jdYd SwxYwt;jd|}| |_tA| ||j!|jd| |j"x|_#tI| | |_%|j&r;tO|j(d"fd } | )d||_(d|_*dS)#aFinish building a pydantic dataclass. This logic is called on a class which has already been wrapped in `dataclasses.dataclass()`. This is somewhat analogous to `pydantic._internal._model_construction.complete_model_class`. Args: cls: The class. config_wrapper: The config wrapper instance. raise_errors: Whether to raise errors, defaults to `True`. ns_resolver: The namespace resolver instance to use when collecting dataclass fields and during schema building. _force_build: Whether to force building the dataclass, no matter if [`defer_build`][pydantic.config.ConfigDict.defer_build] is set. Returns: `True` if building a pydantic dataclass is successfully completed, `False` otherwise. Raises: PydanticUndefinedAnnotation: If `raise_error` is `True` and there is an undefined annotations. __dataclass_self__r!argsrkwargsr7r8cbd}|}|jt|||dS)NT) self_instance)r(validate_pythonr)rCrDrE__tracebackhide__ss r0__init__z$complete_dataclass..__init__vs:    00D&1I1IYZ0[[[[[r/z .__init__F__post_init_post_parse__zVSupport for `__post_init_post_parse__` has been dropped, the method will not be called)r5)r3r: __signature__T)initr;populate_by_nameextra is_dataclass__get_pydantic_core_schema__N)from_dunder_get_core_schemaunpack)ref_mode`)titlezall referenced typesztype[PydanticDataclass] dataclassinstancefieldstrvaluec6|||dS)N)validate_assignment)rYrZr\ validators r0validated_setattrz-complete_dataclass..validated_setattrs!  ) )(E5 A A A A Ar/)rCr!rDrrErr7r8)rYrrZr[r\r[r7r8)+rKr+ config_dictr" defer_buildrr)hasattrwarningswarnDeprecationWarningr<rrrrrr&rOrPrMgetattrrgenerate_schemarname core_config clean_schemaCollectedInvalidtypingcastr$rr*plugin_settingsr(r r'r^r __setattr____get__r#)r1r5r=r3r> original_initrKr: gen_schemaget_core_schemaschemaerjr`r_s @r0complete_dataclassrwUs7:LM\\\\ #/:::HCL,8C N6C...us.//  dfx   k.IIII,S11L!J+ '*+< &     Cc#A4HHO  X$_,J6TYZZZ%FF //QV/WWF &   C}16}}}===uuuuu  !,,3<,@@K((00  &C/EFFFuu +/ 5 5C$*C -DS^S%5{KQ_Qo..C#36;"G"GC)? s   B B B B B  B,33D#>> $C 4s+:A E E<"E77E<F11 GG_cls"TypeGuard[type[StandardDataclass]]c tj|oSt|d oBt|jtt |diS)aBReturns True if a class is a stdlib dataclass and *not* a pydantic dataclass. We check that - `_cls` is a dataclass - `_cls` does not inherit from a processed pydantic dataclass (and thus have a `__pydantic_validator__`) - `_cls` does not have any annotations that are not dataclass fields e.g. ```python import dataclasses import pydantic.dataclasses @dataclasses.dataclass class A: x: int @pydantic.dataclasses.dataclass class B(A): y: int ``` In this case, when we first check `B`, we make an extra check and look at the annotations ('y'), which won't be a superset of all the dataclass fields (only the stdlib fields i.e. 'x') Args: cls: The class. Returns: `True` if the class is a stdlib dataclass, `False` otherwise. r(r-) dataclassesrQrcset__dataclass_fields__ issupersetrg)rxs r0is_builtin_dataclassrsf>  && a677 7 a ) * * 5 5c'$HY[]:^:^6_6_ ` `r/)NN)r1r2r3r4r5r6r7r8) r1r?r5r@r=rAr3r4r>rAr7rA)rxr?r7ry):r, __future__r _annotationsr{rmrd functoolsrrrr pydantic_corerr r r typing_extensionsr errorsrplugin._schema_validatorrrrrr_fieldsr_generate_schemar _genericsr _mock_val_serr_namespace_utilsr_schema_generation_sharedr _signaturer_utilsr TYPE_CHECKING _typeshedrStandardDataclassconfigrr;rProtocolr!rfr<rwrr.r/r0rs66222222 $$$$$$$$  ('''''000000XXXXXXXX000000""""""""------,,,,,,000000......((((((CCCCCC333333&&&&&& 3@@@@@@######""""""UUUUU-vUUUU03 &*37%%%%%0%) {{{{{{|""""""r/