9tjHUdZddlmZddlmZmZmZmZddlm Z m Z m Z ddl m Z mZddlmZdZdZd ed <Gd d eZed Zd ed<Gdde ZGdde ZGddee ZGddee ZdZd ed<Gddee ZdS)z!!! abstract "Usage Documentation" [Build a Plugin](../concepts/plugins.md#build-a-plugin) Plugin interface for Pydantic plugins, and related types. ) annotations)AnyCallableLiteral NamedTuple) CoreConfig CoreSchemaValidationError)Protocol TypeAlias) ExtraValues)PydanticPluginProtocolBaseValidateHandlerProtocolValidatePythonHandlerProtocolValidateJsonHandlerProtocolValidateStringsHandlerProtocolNewSchemaReturnsSchemaTypePath SchemaKindvtuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]r rc(eZdZUdZded<ded<dS)rzQPath defining where `schema_type` was defined, or where `TypeAdapter` was called.strmodulenameN)__name__ __module__ __qualname____doc____annotations__V/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/pydantic/plugin/__init__.pyrrs([[KKK IIIIIr!r) BaseModel TypeAdapter dataclass create_model validate_callrceZdZdZddZdS)rz5Protocol defining the interface for Pydantic plugins.schemar schema_typerschema_type_pathr schema_kindrconfigCoreConfig | Noneplugin_settingsdict[str, object]returnrc td)aThis 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*rr+rr,rr-r.r/r0r1r)rrrrr5r r!r"rr(s4??______r!rc8eZdZUdZded< ddZdd ZddZdS)rzBase 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. zCallable[..., None]on_enterresultrr1NonecdS)z{Callback to be notified of successful validation. Args: result: The result of the validation. Nr )r4r8s r" on_successz&BaseValidateHandlerProtocol.on_successU r!errorr cdS)znCallback to be notified of validation errors. Args: error: The validation error. Nr )r4r=s r"on_errorz$BaseValidateHandlerProtocol.on_error]r<r! exception ExceptioncdS)zCallback to be notified of validation exceptions. Args: exception: The exception raised during validation. Nr )r4r@s r" on_exceptionz(BaseValidateHandlerProtocol.on_exceptioner<r!N)r8rr1r9)r=r r1r9)r@rAr1r9)rrrrrr;r?rCr r!r"rrKsm "!!!Er!rc,eZdZdZddddddddddZdS)rz4Event handler for `SchemaValidator.validate_python`.N)strictextrafrom_attributescontext self_instanceby_aliasby_nameinputrrE bool | NonerFExtraValues | NonerGrH Any | NonerIrJrKr1r9cdS)amCallback to be notified of validation start, and create an instance of the event handler. Args: input: The input to be validated. strict: Whether to validate the object in strict mode. extra: Whether to ignore, allow, or forbid extra data during model validation. from_attributes: Whether to validate objects as inputs by extracting attributes. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr ) r4rLrErFrGrHrIrJrKs r"r7z&ValidatePythonHandlerProtocol.on_enterqr!)rLrrErMrFrNrGrMrHrOrIrOrJrMrKrMr1r9rrrrr7r r!r"rrnsO>> #$('+"$( $#        r!rc*eZdZdZdddddddddZdS)rz2Event handler for `SchemaValidator.validate_json`.N)rErFrHrIrJrKrLstr | bytes | bytearrayrErMrFrNrHrOrIrJrKr1r9cdS)aCallback to be notified of validation start, and create an instance of the event handler. Args: input: The JSON data to be validated. strict: Whether to validate the object in strict mode. extra: Whether to ignore, allow, or forbid extra data during model validation. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr )r4rLrErFrHrIrJrKs r"r7z$ValidateJsonHandlerProtocol.on_enterrQr!)rLrTrErMrFrNrHrOrIrOrJrMrKrMr1r9rRr r!r"rrsL<< #$("$( $#        r!rzdict[str, StringInput] StringInputc(eZdZdZddddddddZdS)rz5Event handler for `SchemaValidator.validate_strings`.N)rErFrHrJrKrLrVrErMrFrNrHrOrJrKr1r9cdS)abCallback to be notified of validation start, and create an instance of the event handler. Args: input: The string data to be validated. strict: Whether to validate the object in strict mode. extra: Whether to ignore, allow, or forbid extra data during model validation. context: The context to use for validation, this is passed to functional validators. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr )r4rLrErFrHrJrKs r"r7z'ValidateStringsHandlerProtocol.on_enterrQr!)rLrVrErMrFrNrHrOrJrMrKrMr1r9rRr r!r"rrsI?? #$(" $#        r!rN)r __future__rtypingrrrr pydantic_corerr r typing_extensionsr r pydantic.configr __all__rrrrrrrrrVrr r!r"r_s #"""""555555555555AAAAAAAAAA11111111'''''' WWWWWZ hi iiii _ _ _ _ _X _ _ _F     (   F     $?   <     "=x   82 1111     %@(     r!