U
    ={f-|                  	   @  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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m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 d
dlmZ d
dlmZmZ ddl m!Z! ddl"m#Z#m$Z$m%Z%m&Z& ddl'm(Z(m)Z)m*Z* ddl+m,Z, ddl-m.Z.m/Z/ ddl0m1Z1m2Z2 ddl3m4Z4 ddl5m6Z6 ddl7m8Z8m9Z9m:Z:m;Z; ddl<m=Z=m>Z> ddl?m@Z@ ejArd
dlBmCZD d
dlBmEZEmFZF d
dlGmHZH n
eZIeJ ZDeJjKZLG dd deMZNedeDfd G d!d" d"e
ZOd#d$d%d&d'd(ZPd)d*d+d,d-d.ZQd)d*d/d/d0d1d2d3ZRd4d*d%d5d6d7ZSd4d$d8d9d:ZTd4d*d;d)d%d<d=d>ZUddd?d4d@d;dAdBdCdAdDdEdFZVd4d%d8dGdHZWG dIdJ dJZXG dKdL dLZYdBdBdMdNdOZZdBdBdMdPdQZ[d*dRdSdTZ\dS )Uz"Private logic for creating models.    )annotationsN)ABCMeta)partial)FunctionType)AnyCallableGenericNoReturn)PydanticUndefinedSchemaSerializer)dataclass_transform
deprecated   )PydanticUndefinedAnnotationPydanticUserError)create_schema_validator)GenericBeforeBaseModelWarningPydanticDeprecatedSince20   )ConfigWrapper)DecoratorInfosPydanticDescriptorProxyget_attribute_from_basesunwrap_wrapped_function)collect_model_fieldsis_valid_field_nameis_valid_privateattr_name)GenerateSchema)PydanticGenericMetadataget_model_typevars_map)
MockValSerset_model_mocks)CallbackGetCoreSchemaHandler)generate_pydantic_signature)get_cls_types_namespaceis_annotatedis_classvarparent_frame_namespace)ClassAttributeSafeGetItemProxy)ValidateCallWrapper)Field)	FieldInfoModelPrivateAttr	BaseModelc                      s*   e Zd ZdZdddd fddZ  ZS )_ModelNamespaceDictz{A dictionary subclass that intercepts attribute setting on model classes and
    warns about overriding of decorators.
    strobjectNone)kvreturnc                   sL   |  |d }|r>||k	r>t|tr>td| d|jj d t ||S )N`z"` overrides an existing Pydantic `z` decorator)	get
isinstancer   warningswarnZdecorator_infoZdecorator_reprsuper__setitem__)selfr4   r5   existing	__class__ e/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/pydantic/_internal/_model_construction.pyr=   3   s    z_ModelNamespaceDict.__setitem__)__name__
__module____qualname____doc__r=   __classcell__rB   rB   r@   rC   r0   .   s   r0   T)Zkw_only_defaultZfield_specifiersc                
      s   e Zd Zd%ddddddd	d
d fddZejs@dd	dddZed	d	ddddZd	dd fddZ	e
dddddZeedddddd d!Zd"d fd#d$Z  ZS )&ModelMetaclassNTr1   tuple[type[Any], ...]dict[str, Any]zPydanticGenericMetadata | Nonebool
str | Noner   type)cls_namebases	namespace__pydantic_generic_metadata__#__pydantic_reset_parent_namespace___create_model_modulekwargsr6   c                   s\  |rB|  |\}}	}
t|||}|j|d< t||j|	|}|sF|
rt||  dk	rxdddd fdd}||d	< nt|d	< |	|d
< |
||d< t j	| |||f|}ddl
m} |j}t|kr|t||k rtjtddd t|jdd |_|j|jkrdnd	|_t||_|r0||_n<t|di ddt|ddpTr^r^tfddD s^ddlm} tfddD }|kr|krd dd |D }|j! d| d|j! d| d }np| }d d!d |D }d"| d#}d$| d%}t|krVd d&d |D |g }|d'|j! d(| d)7 }t"|ddd*|_d|_#|$ D ]\}}|%|| qz|rt&t' |_(t|d+d}t)|t*rt+|}t,||}t-|||| |j.rd,|krt/|| t0|||d||d- d.d/ |jj1$ D |_2t3| t||j4f | |S t j	| |||f|S dS )0a  Metaclass for creating Pydantic models.

        Args:
            cls_name: The name of the class to be created.
            bases: The base classes of the class to be created.
            namespace: The attribute dictionary of the class to be created.
            __pydantic_generic_metadata__: Metadata for generic models.
            __pydantic_reset_parent_namespace__: Reset parent namespace.
            _create_model_module: The module of the class to be created, if created by `create_model`.
            **kwargs: Catch-all for any other keyword arguments.

        Returns:
            The new class created by the metaclass.
        model_configNr/   r   r3   )r>   _ModelMetaclass__contextr6   c                   s   t | |  | | dS )zWe need to both initialize private attributes and call the user-defined model_post_init
                        method.
                        N)init_private_attributes)r>   rW   )original_model_post_initrB   rC   wrapped_model_post_inite   s    
z7ModelMetaclass.__new__.<locals>.wrapped_model_post_initmodel_post_init__class_vars____private_attributes__r   r.   zClasses should inherit from `BaseModel` before generic classes (e.g. `typing.Generic[T]`) for pydantic generics to work properly.
stacklevelZ__pydantic_base_init__FrR   
parametersrB   __parameters__c                 3  s   | ]}| kV  qd S NrB   .0x)r`   rB   rC   	<genexpr>   s     z)ModelMetaclass.__new__.<locals>.<genexpr>)RootModelRootTypec                 3  s   | ]}| kr|V  qd S rb   rB   rc   )parent_parametersrB   rC   rf      s      z, c                 S  s   g | ]
}|j qS rB   rD   rc   rB   rB   rC   
<listcomp>   s     z*ModelMetaclass.__new__.<locals>.<listcomp>zS is a subclass of `RootModel`, but does not include the generic type identifier(s) zL in its parameters. You should parametrize RootModel directly, e.g., `class z(RootModel[z	]): ...`.c                 S  s   g | ]}t |qS rB   )r1   rc   rB   rB   rC   rj      s     ztyping.Generic[]zJAll parameters must be present on typing.Generic; you should inherit from .c                 S  s   g | ]
}|j qS rB   ri   rc   rB   rB   rC   rj      s     z- Note: `typing.Generic` must go last: `class (z): ...`))originargsr`   __pydantic_parent_namespace____hash__)raise_errorstypes_namespacecreate_model_modulec                 S  s   i | ]\}}||j qS rB   )info)rd   r4   r5   rB   rB   rC   
<dictcomp>   s      z*ModelMetaclass.__new__.<locals>.<dictcomp>)5_collect_bases_datar   Z	for_modelZconfig_dictinspect_namespaceignored_typesget_model_post_initrX   r<   __new__mainr/   __mro__r   indexr:   r;   r   getattr__init__Z__pydantic_custom_init__r[   Z__pydantic_post_init__r   buildZ__pydantic_decorators__rR   r8   allZ
root_modelrg   tuplejoinrD   	TypeError__pydantic_complete__items__set_name__build_lenient_weakvaluedictr'   rp   r9   dictunpack_lenient_weakvaluedictr$   set_model_fieldsfrozenset_default_hash_funccomplete_model_classZcomputed_fieldsmodel_computed_fieldsset_deprecated_descriptorsZ__pydantic_init_subclass__)mcsrO   rP   rQ   rR   rS   rT   rU   Zbase_field_names
class_varsZbase_private_attributesconfig_wrapperprivate_attributesrZ   clsr/   mrorg   Zmissing_parametersZparameters_strerror_messageZcombined_parametersZgeneric_type_labelZ	bases_strnameobjZparent_namespacers   r@   )rY   r`   rh   rC   r{   =   s    
   


$



zModelMetaclass.__new__)itemr6   c                 C  sd   | j d}|r ||kr || S |dkrXt| dd}t|trX| }|dk	rXt| dS t|dS )zNThis is necessary to keep attribute access working for class attribute access.r]   __pydantic_core_schema____pydantic_validator__N)__dict__r8   r   r9   r    ZrebuildAttributeError)r>   r   r   Zmaybe_mock_validatorZrebuilt_validatorrB   rB   rC   __getattr__   s    

zModelMetaclass.__getattr__zdict[str, object])ro   rU   r6   c                 O  s   t  S rb   )r0   )r   ro   rU   rB   rB   rC   __prepare__   s    zModelMetaclass.__prepare__)instancer6   c                   s   t |dot |S )zsAvoid calling ABC _abc_subclasscheck unless we're pretty sure.

        See #3829 and python/cpython#92810
        r   )hasattrr<   __instancecheck__)r>   r   r@   rB   rC   r      s    z ModelMetaclass.__instancecheck__z6tuple[set[str], set[str], dict[str, ModelPrivateAttr]])rP   r6   c                 C  sp   ddl m} t }t }i }| D ]D}t||r ||k	r |t|di   ||j ||j q |||fS )Nr   r.   model_fields)	r|   r/   set
issubclassupdater   keysr\   r]   )rP   r/   field_namesr   r   baserB   rB   rC   rw      s    z"ModelMetaclass._collect_bases_dataEThe `__fields__` attribute is deprecated, use `model_fields` instead.)categoryzdict[str, FieldInfo]r6   c                 C  s   t dt | jS )Nr   )r:   r;   r   r   r>   rB   rB   rC   
__fields__  s
     zModelMetaclass.__fields__z	list[str]c                   s$   t t  }d|kr |d |S )Nr   )listr<   __dir__remove)r>   
attributesr@   rB   rC   r     s    
zModelMetaclass.__dir__)NTN)rD   rE   rF   r{   typingTYPE_CHECKINGr   classmethodr   r   staticmethodrw   propertyr   r   r   rH   rB   rB   r@   rC   rI   ;   s       " &
rI   r/   r   r3   )r>   	__contextr6   c                 C  sP   t | dddkrLi }| j D ] \}}| }|tk	r|||< qt| d| dS )a  This function is meant to behave like a BaseModel method to initialise private attributes.

    It takes context as an argument since that's what pydantic-core passes when calling it.

    Args:
        self: The BaseModel instance.
        __context: The context.
    Z__pydantic_private__N)r   r]   r   get_defaultr
   object_setattr)r>   r   Zpydantic_privater   private_attrdefaultrB   rB   rC   rX     s    	
rX   rK   rJ   zCallable[..., Any] | None)rQ   rP   r6   c                 C  s8   d| kr| d S ddl m} t|d}||jk	r4|S dS )zaGet the `model_post_init` method from the namespace or the class bases, or `None` if not defined.r[   r   r.   N)r|   r/   r   r[   )rQ   rP   r/   r[   rB   rB   rC   rz   /  s    

rz   zset[str]zdict[str, ModelPrivateAttr])rQ   ry   base_class_varsbase_class_fieldsr6   c              	     s  ddl m}m m} |t  }i }| di }d|ks>d| krFtdt }	t| 	 D ]\}
}|
dkrnqXqXt
|tr|j| d krd| kr|j| d rqXqXt
||s|jjd	kr|	|
 qXqXt
| r"|
d
rtd|
dn$t|
rtdd|
 d|
d|||
< | |
= qXt
||r`t|
s`|
dpFd}td|d|
dqX|
d
rpqXqXt|
r|
|kst||
 s ||d||
< | |
= qX|
|krqXqX|
|krX|
|krtd|
dddqXt
||r td|
dddqXtd|
 d|d|
 dddqX|	 D ]\}}t|r*||kr*||	kr*t|s*||kr*t|ddd	kr*t|rt|^}}t fdd|D d}|dk	r|||< q*| ||< q*|S ) a  Iterate over the namespace and:
    * gather private attributes
    * check for items which look like fields but are not (e.g. have no annotation) and warn.

    Args:
        namespace: The attribute dictionary of the class to be created.
        ignored_types: A tuple of ignore types.
        base_class_vars: A set of base class class variables.
        base_class_fields: A set of base class fields.

    Returns:
        A dict contains private attributes info.

    Raises:
        TypeError: If there is a `__root__` field in model.
        NameError: If private attribute name is invalid.
        PydanticUserError:
            - If a field does not have a type annotation.
            - If a field on base class was overridden by a non-annotated attribute.
    r   )r,   r-   PrivateAttr__annotations__Z__root__zUTo define root models, use `pydantic.RootModel` rather than a field called '__root__'rV   rE   rF   	functools__zXPrivate attributes must not use dunder names; use a single underscore prefix instead of rl   zJPrivate attributes must not use valid field names; use sunder names, e.g. _z instead of Zmy_fieldz>Fields must not use names with leading underscores; e.g., use )r   zField z defined on a base class was overridden by a non-annotated attribute. All field definitions, including overrides, require a type annotation.zmodel-field-overridden)codez requires a type annotationzmodel-field-missing-annotationz)A non-annotated attribute was detected: `z = z3`. All model fields require a type annotation; if `z` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating `model_config['ignored_types']`.Nc                 3  s   | ]}t | r|V  qd S rb   )r9   )rd   r5   r-   rB   rC   rf     s     
 z$inspect_namespace.<locals>.<genexpr>)fieldsr,   r-   r   default_ignored_typesr8   r   r   r   r   r9   rN   rE   rF   
startswithrA   add	NameErrorr   lstripr   r&   r   r   r%   typing_extensionsget_argsnext)rQ   ry   r   r   r,   r   Zall_ignored_typesr   Zraw_annotationsignored_namesvar_namevalueZsuggested_nameZann_nameZann_typer   metadatar   rB   r   rC   rx   ;  s    









 

rx   type[BaseModel])r   rP   r6   c                 C  s<   t |d}t| }|d tjhks2t|dd |jkr8|| _d S )Nrq   __code__)r   make_hash_funcr2   rq   r   r   )r   rP   Zbase_hash_funcZnew_hash_funcrB   rB   rC   r     s    
 r   )r   r6   c                   s6   | j rtj| j   ndd  ddd fdd}|S )Nc                 S  s   dS )Nr   rB   )r   rB   rB   rC   <lambda>      z make_hash_func.<locals>.<lambda>r   int)r>   r6   c                   s<   zt  | jW S  tk
r6   t  t| j Y S X d S rb   )hashr   KeyErrorr)   r   getterrB   rC   	hash_func  s    z!make_hash_func.<locals>.hash_func)r   operator
itemgetterr   )r   r   rB   r   rC   r     s    
r   r   )r   rP   r   rs   r6   c           	      C  sl   t | }t| ||||d\}}|| _| j| |D ]2}| j|d}|dk	r4|jtk	r4t	| ||j q4dS )a.  Collect and set `cls.model_fields` and `cls.__class_vars__`.

    Args:
        cls: BaseModel or dataclass.
        bases: Parents of the class, generally `cls.__bases__`.
        config_wrapper: The config wrapper instance.
        types_namespace: Optional extra namespace to look for types in.
    )typevars_mapN)
r   r   r   r\   r   r]   popr   r
   setattr)	r   rP   r   rs   r   r   r   r4   r   rB   rB   rC   r     s    r   )rr   rt   r1   rL   zdict[str, Any] | NonerM   )r   rO   r   rr   rs   rt   r6   c             
   C  s0  t | }t|||}tt|jdd|dd}|jr@t| | dS z| | |}	W nD tk
r }
 z&|rh t| |d|
j	 d W Y dS d}
~
X Y nX |
| }z||	}	W n" |jk
r   t| | Y dS X |	| _t|	| |p| j| j|rdnd||j| _t|	|| _d	| _td
t| j| j|d| _d	S )a  Finish building a model class.

    This logic must be called after class has been created since validation functions must be bound
    and `get_type_hints` requires a class object.

    Args:
        cls: BaseModel or dataclass.
        cls_name: The model or dataclass name.
        config_wrapper: The config wrapper instance.
        raise_errors: Whether to raise errors.
        types_namespace: Optional extra namespace to look for types in.
        create_model_module: The module of the class to be created, if created by `create_model`.

    Returns:
        `True` if the model is successfully completed, else `False`.

    Raises:
        PydanticUndefinedAnnotation: If `PydanticUndefinedAnnotation` occurs in`__get_pydantic_core_schema__`
            and `raise_errors=True`.
    F)Zfrom_dunder_get_core_schemaunpack)Zref_moder7   NZcreate_modelr/   T__signature__)initr   r   )r   r   r"   r   Zgenerate_schemaZdefer_buildr!   Z__get_pydantic_core_schema__r   r   core_configZclean_schemaZCollectedInvalidr   r   rE   rF   Zplugin_settingsr   r   Z__pydantic_serializer__r   r(   r#   r   r   r   )r   rO   r   rr   rs   rt   r   Z
gen_schemahandlerZschemaer   rB   rB   rC   r     sX    



	r   c                 C  s   | j  D ]6\}}|j }dk	r
t|}|| | t| || q
| j D ]J\}}|j }dk	rLtt|j	dsLt||j	}|| | t| || qLdS )z8Set data descriptors on the class for deprecated fields.NZ__deprecated__)
r   r   Zdeprecation_message_DeprecatedFieldDescriptorr   r   r   r   r   wrapped_property)r   fieldZ
field_infomsgdescZcomputed_field_inforB   rB   rC   r   A  s    r   c                   @  sf   e Zd ZU dZded< ddddddd	Zd
dddddZdddddddZddddddZdS )r   aM  Data descriptor used to emit a runtime deprecation warning before accessing a deprecated field.

    Attributes:
        msg: The deprecation message to be emitted.
        wrapped_property: The property instance if the deprecated field is a computed field, or `None`.
        field_name: The name of the field being deprecated.
    r1   
field_nameNzproperty | Noner3   )r   r   r6   c                 C  s   || _ || _d S rb   )r   r   )r>   r   r   rB   rB   rC   r   _  s    z#_DeprecatedFieldDescriptor.__init__r   )r   r   r6   c                 C  s
   || _ d S rb   )r   )r>   r   r   rB   rB   rC   r   c  s    z'_DeprecatedFieldDescriptor.__set_name__zBaseModel | Noneztype[BaseModel] | Noner   )r   obj_typer6   c                 C  sJ   |d krt | jtj| jtjdd | jd k	r>| j||S |j	| j S )Nr   r^   )
r   r   r:   r;   r   builtinsDeprecationWarningr   __get__r   )r>   r   r   rB   rB   rC   r   f  s    

z"_DeprecatedFieldDescriptor.__get__r	   )r   r   r6   c                 C  s   t | jd S rb   )r   r   )r>   r   r   rB   rB   rC   __set__s  s    z"_DeprecatedFieldDescriptor.__set__)N)N)	rD   rE   rF   rG   r   r   r   r   r   rB   rB   rB   rC   r   T  s   
r   c                   @  s:   e Zd ZdZddddZddddZd	dd
dZdS )_PydanticWeakRefa  Wrapper for `weakref.ref` that enables `pickle` serialization.

    Cloudpickle fails to serialize `weakref.ref` objects due to an arcane error related
    to abstract base classes (`abc.ABC`). This class works around the issue by wrapping
    `weakref.ref` instead of subclassing it.

    See https://github.com/pydantic/pydantic/issues/6763 for context.

    Semantics:
        - If not pickled, behaves the same as a `weakref.ref`.
        - If pickled along with the referenced object, the same `weakref.ref` behavior
          will be maintained between them after unpickling.
        - If pickled without the referenced object, after unpickling the underlying
          reference will be cleared (`__call__` will always return `None`).
    r   )r   c                 C  s    |d krd | _ nt|| _ d S rb   )_wrweakrefref)r>   r   rB   rB   rC   r     s    z_PydanticWeakRef.__init__r   c                 C  s   | j d krd S |   S d S rb   )r   r   rB   rB   rC   __call__  s    
z_PydanticWeakRef.__call__z4tuple[Callable, tuple[weakref.ReferenceType | None]]c                 C  s   t |  ffS rb   )r   r   rB   rB   rC   
__reduce__  s    z_PydanticWeakRef.__reduce__N)rD   rE   rF   rG   r   r   r   rB   rB   rB   rC   r   w  s   r   )dr6   c              	   C  sT   | dkrdS i }|   D ]6\}}zt|}W n tk
rD   |}Y nX |||< q|S )aX  Takes an input dictionary, and produces a new value that (invertibly) replaces the values with weakrefs.

    We can't just use a WeakValueDictionary because many types (including int, str, etc.) can't be stored as values
    in a WeakValueDictionary.

    The `unpack_lenient_weakvaluedict` function can be used to reverse this operation.
    N)r   r   r   )r   resultr4   r5   proxyrB   rB   rC   r     s    

r   c                 C  sP   | dkrdS i }|   D ]2\}}t|trB| }|dk	rJ|||< q|||< q|S )zAInverts the transform performed by `build_lenient_weakvaluedict`.N)r   r9   r   )r   r   r4   r5   rB   rB   rC   r     s    


r   r   c                  C  s   ddl m}  ttttt| tfS )Nr   ComputedFieldInfo)r   r   r   r   r   r   r   r*   r   rB   rB   rC   r     s    r   )]rG   
__future__r   Z_annotationsr   r   r   r:   r   abcr   r   r   typesr   r   r   r   r	   r   Zpydantic_corer
   r   r   r   errorsr   r   Zplugin._schema_validatorr   r   r   _configr   Z_decoratorsr   r   r   r   _fieldsr   r   r   Z_generate_schemar   Z	_genericsr   r   Z_mock_val_serr    r!   Z_schema_generation_sharedr"   
_signaturer#   Z_typing_extrar$   r%   r&   r'   _utilsr(   r)   Z_validate_callr*   r   r   r+   ZPydanticModelFieldr,   r-   r|   r/   r   r2   __setattr__r   r   r0   rI   rX   rz   rx   r   r   r   r   r   r   r   r   r   r   rB   rB   rB   rC   <module>   sj    bv#U##