j5UdZddlmZddlmZmZmZmZddlm Z m Z m Z ddl m Z mZdZdZded <Gd d eZed Zded <Gdde ZGdde ZGddee ZGddee ZdZded<Gddee Zy)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)PydanticPluginProtocolBaseValidateHandlerProtocolValidatePythonHandlerProtocolValidateJsonHandlerProtocolValidateStringsHandlerProtocolNewSchemaReturnsSchemaTypePath SchemaKindvtuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]r rc&eZdZUdZded<ded<y)rzQPath defining where `schema_type` was defined, or where `TypeAdapter` was called.strmodulenameN)__name__ __module__ __qualname____doc____annotations__b/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/pydantic/plugin/__init__.pyrrs[ K Ir r) BaseModel TypeAdapter dataclass create_model validate_callrc4eZdZdZ ddZy)r z5Protocol defining the interface for Pydantic plugins.ctd)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)selfschema schema_typeschema_type_path schema_kindconfigplugin_settingss r!new_schema_validatorz+PydanticPluginProtocol.new_schema_validator)s:""]^^r N)r+r r,rr-rr.rr/zCoreConfig | Noner0zdict[str, object]returnr)rrrrr1rr r!r r &sV?___) _  _ " _+_ _r r c6eZdZUdZded< ddZd dZd dZy) 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_entercy)z{Callback to be notified of successful validation. Args: result: The result of the validation. Nr)r*results r! on_successz&BaseValidateHandlerProtocol.on_successS r cy)znCallback to be notified of validation errors. Args: error: The validation error. Nr)r*errors r!on_errorz$BaseValidateHandlerProtocol.on_error[r8r cy)zCallback to be notified of validation exceptions. Args: exception: The exception raised during validation. Nr)r* exceptions r! on_exceptionz(BaseValidateHandlerProtocol.on_exceptioncr8r N)r6rr2None)r:r r2r?)r= Exceptionr2r?)rrrrrr7r;r>rr r!rrIs! "!Er rcFeZdZdZddddddd ddZy)rz4Event handler for `SchemaValidator.validate_python`.N)strictfrom_attributescontext self_instanceby_aliasby_namecy)aCallback to be notified of validation start, and create an instance of the event handler. Args: input: The input to be validated. strict: Whether to validate the object in strict mode. from_attributes: Whether to validate objects as inputs by extracting attributes. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr)r*inputrBrCrDrErFrGs r!r4z&ValidatePythonHandlerProtocol.on_enteros. r )rIrrB bool | NonerCrJrDdict[str, Any] | NonerE Any | NonerFrJrGrJr2r?rrrrr4rr r!rrlsl> #'+)-$( $#    %  '  "     r rc@eZdZdZdddddd ddZy)rz2Event handler for `SchemaValidator.validate_json`.N)rBrDrErFrGcy)aCallback to be notified of validation start, and create an instance of the event handler. Args: input: The JSON data to be validated. strict: Whether to validate the object in strict mode. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr)r*rIrBrDrErFrGs r!r4z$ValidateJsonHandlerProtocol.on_enters* r )rIzstr | bytes | bytearrayrBrJrDrKrErLrFrJrGrJr2r?rMrr r!rrs_< #)-$( $# &   '  "      r rzdict[str, StringInput] StringInputc:eZdZdZddddd ddZy)rz5Event handler for `SchemaValidator.validate_strings`.N)rBrDrFrGcy)aCallback to be notified of validation start, and create an instance of the event handler. Args: input: The string data to be validated. strict: Whether to validate the object in strict mode. context: The context to use for validation, this is passed to functional validators. by_alias: Whether to use the field's alias to match the input data to an attribute. by_name: Whether to use the field's name to match the input data to an attribute. Nr)r*rIrBrDrFrGs r!r4z'ValidateStringsHandlerProtocol.on_enters$ r ) rIrPrBrJrDrKrFrJrGrJr2r?rMrr r!rrsR? #)- $#    '       r rN)r __future__rtypingrrrr pydantic_corerr r typing_extensionsr r __all__rrrrr rrrrPrrr r!rXs #55AA1 W)WZ hi Ii _X _F ( F $? : "=x 62 Y1 %@( r