
    9Cg                    <   U d Z ddlmZ ddlmZmZmZ ddlmZm	Z	m
Z
 ddlmZmZmZ dZdZded	<    G d
 de          Zed         Zded<    G d de          Z G d de          Z G d dee          Z G d dee          ZdZded<    G d dee          ZdS )zUsage docs: https://docs.pydantic.dev/2.9/concepts/plugins#build-a-plugin

Plugin interface for Pydantic plugins, and related types.
    )annotations)AnyCallable
NamedTuple)
CoreConfig
CoreSchemaValidationError)LiteralProtocol	TypeAlias)PydanticPluginProtocolBaseValidateHandlerProtocolValidatePythonHandlerProtocolValidateJsonHandlerProtocolValidateStringsHandlerProtocolNewSchemaReturnsSchemaTypePath
SchemaKindvtuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]r   r   c                  (    e Zd ZU dZded<   ded<   dS )r   zQPath defining where `schema_type` was defined, or where `TypeAdapter` was called.strmodulenameN)__name__
__module____qualname____doc____annotations__     J/var/www/api/venv/lib/python3.11/site-packages/pydantic/plugin/__init__.pyr   r      s(         [[KKKIIIIIr    r   )	BaseModelTypeAdapter	dataclasscreate_modelvalidate_callr   c                      e Zd ZdZddZdS )r   z5Protocol defining the interface for Pydantic plugins.schemar   schema_typer   schema_type_pathr   schema_kindr   configCoreConfig | Noneplugin_settingsdict[str, object]returnr   c                     t          d          )a  This method is called for each plugin every time a new [`SchemaValidator`][pydantic_core.SchemaValidator]
        is created.

        It should return an event handler for each of the three validation methods, or `None` if the plugin does not
        implement that method.

        Args:
            schema: The schema to validate against.
            schema_type: The original type which the schema was created from, e.g. the model class.
            schema_type_path: Path defining where `schema_type` was defined, or where `TypeAdapter` was called.
            schema_kind: The kind of schema to validate against.
            config: The config to use for validation.
            plugin_settings: Any plugin settings.

        Returns:
            A tuple of optional event handlers for each of the three validation methods -
                `validate_python`, `validate_json`, `validate_strings`.
        z9Pydantic plugins should implement `new_schema_validator`.)NotImplementedError)selfr(   r)   r*   r+   r,   r.   s          r!   new_schema_validatorz+PydanticPluginProtocol.new_schema_validator(   s    : ""]^^^r    N)r(   r   r)   r   r*   r   r+   r   r,   r-   r.   r/   r0   r   )r   r   r   r   r4   r   r    r!   r   r   %   s4        ??_ _ _ _ _ _r    r   c                  8    e Zd ZU dZded<   	 ddZddZddZdS )r   zBase class for plugin callbacks protocols.

    You shouldn't implement this protocol directly, instead use one of the subclasses with adds the correctly
    typed `on_error` method.
    zCallable[..., None]on_enterresultr   r0   Nonec                    dS )z{Callback to be notified of successful validation.

        Args:
            result: The result of the validation.
        Nr   )r3   r7   s     r!   
on_successz&BaseValidateHandlerProtocol.on_successR   	     	r    errorr	   c                    dS )znCallback to be notified of validation errors.

        Args:
            error: The validation error.
        Nr   )r3   r<   s     r!   on_errorz$BaseValidateHandlerProtocol.on_errorZ   r;   r    	exception	Exceptionc                    dS )zCallback to be notified of validation exceptions.

        Args:
            exception: The exception raised during validation.
        Nr   )r3   r?   s     r!   on_exceptionz(BaseValidateHandlerProtocol.on_exceptionb   r;   r    N)r7   r   r0   r8   )r<   r	   r0   r8   )r?   r@   r0   r8   )r   r   r   r   r   r:   r>   rB   r   r    r!   r   r   H   sm           "!!!E           r    r   c                  &    e Zd ZdZdddddddZdS )r   z4Event handler for `SchemaValidator.validate_python`.N)strictfrom_attributescontextself_instanceinputr   rD   bool | NonerE   rF   dict[str, Any] | NonerG   
Any | Noner0   r8   c                   dS )aT  Callback to be notified of validation start, and create an instance of the event handler.

        Args:
            input: The input to be validated.
            strict: Whether to validate the object in strict mode.
            from_attributes: Whether to validate objects as inputs by extracting attributes.
            context: The context to use for validation, this is passed to functional validators.
            self_instance: An instance of a model to set attributes on from validation, this is used when running
                validation from the `__init__` method of a model.
        Nr   )r3   rH   rD   rE   rF   rG   s         r!   r6   z&ValidatePythonHandlerProtocol.on_entern   s	    & 	r    )rH   r   rD   rI   rE   rI   rF   rJ   rG   rK   r0   r8   r   r   r   r   r6   r   r    r!   r   r   k   sF        >> #'+)-$(       r    r   c                  $    e Zd ZdZddddddZdS )r   z2Event handler for `SchemaValidator.validate_json`.N)rD   rF   rG   rH   str | bytes | bytearrayrD   rI   rF   rJ   rG   rK   r0   r8   c                   dS )a  Callback to be notified of validation start, and create an instance of the event handler.

        Args:
            input: The JSON data to be validated.
            strict: Whether to validate the object in strict mode.
            context: The context to use for validation, this is passed to functional validators.
            self_instance: An instance of a model to set attributes on from validation, this is used when running
                validation from the `__init__` method of a model.
        Nr   )r3   rH   rD   rF   rG   s        r!   r6   z$ValidateJsonHandlerProtocol.on_enter   s	    " 	r    )
rH   rO   rD   rI   rF   rJ   rG   rK   r0   r8   rM   r   r    r!   r   r      sC        << #)-$(       r    r   zdict[str, StringInput]StringInputc                  "    e Zd ZdZdddddZdS )r   z5Event handler for `SchemaValidator.validate_strings`.N)rD   rF   rH   rQ   rD   rI   rF   rJ   r0   r8   c                   dS )aI  Callback to be notified of validation start, and create an instance of the event handler.

        Args:
            input: The string data to be validated.
            strict: Whether to validate the object in strict mode.
            context: The context to use for validation, this is passed to functional validators.
        Nr   )r3   rH   rD   rF   s       r!   r6   z'ValidateStringsHandlerProtocol.on_enter   s	     	r    )rH   rQ   rD   rI   rF   rJ   r0   r8   rM   r   r    r!   r   r      sA        ?? <@bf
 
 
 
 
 
 
 
r    r   N)r   
__future__r   typingr   r   r   pydantic_corer   r   r	   typing_extensionsr
   r   r   __all__r   r   r   r   r   r   r   r   rQ   r   r   r    r!   <module>rY      s    
 # " " " " " , , , , , , , , , , A A A A A A A A A A : : : : : : : : : :	 W   W  W  W  W    Z      hi
 i i i i _  _  _  _  _X  _  _  _F         (      F    $?   2    "=x   . 2 1 1 1 1    %@(     r    