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    y{Jh)                     @  s  d Z ddlmZ ddlZddlZddlZddlZddlm	Z	m
Z
 ddlmZmZ ddlmZmZmZ ddlmZmZmZmZmZ ddlmZ d	d
lmZ d	dlmZ d	dlmZ d	dlmZ ddlm Z m!Z!m"Z" ddl m#Z# ddl$m%Z% ddl&m'Z'm(Z( ddl)m*Z* ddl+m,Z, ddl-m.Z. ddl/m0Z0 ej1rdd	dl2m3Z3 G dd dej4Z5G dd de5ej4Z6neZ7d8ddddd d!Z8d"d#d$d%d&dd&d'd(d)Z9d*d*d+d,d-Z:dd.d/d0d1d2d3Z;d$d4d5d6d7Z<dS )9z0Private logic for creating pydantic dataclasses.    )annotationsN)partialwraps)	Parameter	Signature)AnyCallableClassVar)
ArgsKwargsPydanticUndefinedSchemaSerializerSchemaValidatorcore_schema)	TypeGuard   )PydanticUndefinedAnnotation)	FieldInfo)create_schema_validator)PydanticDeprecatedSince20   )_config_decorators_typing_extra)ConfigWrapper)collect_dataclass_fields)GenerateSchemagenerate_pydantic_signature)get_standard_typevars_map)set_dataclass_mocks)CallbackGetCoreSchemaHandler)is_valid_identifier)
ConfigDictc                   @  s8   e Zd ZU ded< ded< ded< dddd	d
dZdS )StandardDataclasszClassVar[dict[str, Any]]__dataclass_fields__zClassVar[Any]__dataclass_params__zClassVar[Callable[..., None]]__post_init__objectNone)argskwargsreturnc                 O  s   d S N )selfr(   r)   r,   r,   Q/var/www/shaz/venv/lib/python3.9/site-packages/pydantic/_internal/_dataclasses.py__init__*   s    zStandardDataclass.__init__N)__name__
__module____qualname____annotations__r/   r,   r,   r,   r.   r"   %   s   
r"   c                   @  sJ   e Zd ZU dZded< ded< ded< ded	< d
ed< ded< ded< dS )PydanticDataclassai  A 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.
        zClassVar[ConfigDict]__pydantic_config__zClassVar[bool]Z__pydantic_complete__z ClassVar[core_schema.CoreSchema]__pydantic_core_schema__z$ClassVar[_decorators.DecoratorInfos]Z__pydantic_decorators__zClassVar[dict[str, FieldInfo]]__pydantic_fields__zClassVar[SchemaSerializer]__pydantic_serializer__zClassVar[SchemaValidator]__pydantic_validator__N)r0   r1   r2   __doc__r3   r,   r,   r,   r.   r4   -   s   
r4   ztype[StandardDataclass]zdict[str, Any] | Noner'   )clstypes_namespacer*   c                 C  s    t | }t| ||d}|| _dS )zCollect and set `cls.__pydantic_fields__`.

    Args:
        cls: The class.
        types_namespace: The types namespace, defaults to `None`.
    )typevars_mapN)r   r   r7   )r;   r<   r=   fieldsr,   r,   r.   set_dataclass_fieldsH   s    r?   T)raise_errorsz	type[Any]z_config.ConfigWrapperbool)r;   config_wrapperr@   r<   r*   c             
     s  t | drtdt |du r(t| }t| | t| }t|||}t	| | j
|}ddddddd	}| j d
|_|| _|j| _|| _t| dd}z6|r|| tt|jdd|dd}	n|j| dd}	W nF ty }
 z,|r t| | jd|
j d W Y d}
~
dS d}
~
0 0 || }z||	}	W n& |jyR   t| | jd Y dS 0 td| } |	| _t|	| | j| jd||j  | _! t"|	|| _#|j$rt%| j&ddddd fdd}|'d| | _&dS )a  Finish 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`.
        types_namespace: The types namespace.

    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.
    Z__post_init_post_parse__zVSupport for `__post_init_post_parse__` has been dropped, the method will not be calledNr4   r   r'   )__dataclass_self__r(   r)   r*   c                 _  s"   d}| }|j jt|||d d S )NT)Zself_instance)r9   Zvalidate_pythonr
   )rC   r(   r)   Z__tracebackhide__sr,   r,   r.   r/      s    z$complete_dataclass.<locals>.__init__z	.__init__Z__get_pydantic_core_schema__F)Zfrom_dunder_get_core_schemaunpack)Zref_mode`zall referenced typesztype[PydanticDataclass]	dataclassstr)instance__field__valuer*   c                   s     | || d S r+   )validate_assignment)rI   rJ   rK   	validatorr,   r.   validated_setattr   s    z-complete_dataclass.<locals>.validated_setattrT)(hasattrwarningswarnDeprecationWarningr   Zget_cls_types_namespacer?   r   r   generate_dataclass_signaturer7   r2   r/   Zconfig_dictr5   __signature__getattrr   r   Zgenerate_schemar   r   r0   namecore_configZclean_schemaZCollectedInvalidtypingcastr6   r   r1   Zplugin_settingsr9   r   r8   rL   r   __setattr____get__)r;   rB   r@   r<   r=   Z
gen_schemasigr/   Zget_core_schemaZschemaerX   rO   r,   rM   r.   complete_dataclassU   sj    


	

r_   r   )paramr*   c                 C  s   | j }t|tr| j}|dkr"t}| j}|j}|j}|du rTt|trTt	|rT|}nt|trjt	|rj|}|j }|t
u r|jt
u rtjj}ntj}| j|||dS | S )zCustom processing where the parameter default is of type FieldInfo

    Args:
        param (Parameter): The parameter

    Returns:
        Parameter: The custom processed parameter
    r   N)
annotationrW   default)rb   
isinstancer   ra   r   rW   aliasvalidation_aliasrH   r    r   default_factoryinspectr   emptydataclasses_HAS_DEFAULT_FACTORYreplace)r`   Zparam_defaultra   rW   rd   re   rb   r,   r,   r.   process_param_defaults   s&    	


rl   zdict[str, FieldInfo]r   r   )r;   r>   rB   r*   c                 C  s   t | j||tdS )zGenerate signature for a pydantic dataclass.

    Args:
        cls: The dataclass.
        fields: The model fields.
        config_wrapper: The config wrapper instance.

    Returns:
        The dataclass signature.
    )initr>   rB   Zpost_process_parameter)r   r/   rl   )r;   r>   rB   r,   r,   r.   rT      s    
rT   z"TypeGuard[type[StandardDataclass]])_clsr*   c                 C  s2   t | o0t| d o0t| jtt| di S )a>  Returns 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.
    ```py
    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.
    r9   r3   )ri   is_dataclassrP   setr#   
issupersetrV   )rn   r,   r,   r.   is_builtin_dataclass   s
    

rr   )N)=r:   
__future__r   Z_annotationsri   rg   rY   rQ   	functoolsr   r   r   r   r   r   r	   Zpydantic_corer
   r   r   r   r   typing_extensionsr   errorsr   r>   r   Zplugin._schema_validatorr   r    r   r   r   r   _fieldsr   Z_generate_schemar   r   Z	_genericsr   Z_mock_val_serr   Z_schema_generation_sharedr   Z_utilsr    TYPE_CHECKINGconfigr!   Protocolr"   r4   rS   r?   r_   rl   rT   rr   r,   r,   r,   r.   <module>   sB   i'