pyi%SrSSKJr SSKJrJrJrJr SSKJ r J r J r SSK J r Jr SSKJr SrSrS \S '"S S \5r\S rS \S'"SS\ 5r"SS\ 5r"SS\\ 5r"SS\\ 5rSrS \S'"SS\\ 5rg)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.\rSrSr%SrS\S'S\S'Srg)rzQPath defining where `schema_type` was defined, or where `TypeAdapter` was called.strmodulenameN)__name__ __module__ __qualname____firstlineno____doc____annotations____static_attributes__rU/home/mande/repo/quber/.venv/lib/python3.13/site-packages/pydantic/plugin/__init__.pyrrs[ K Ir$r) BaseModel TypeAdapter dataclass create_model validate_callrc>\rSrSrSrSSjrSrg)r(z5Protocol defining the interface for Pydantic plugins.c[S5e)aThis method is called for each plugin every time a new [`SchemaValidator`][pydantic_core.SchemaValidator] is created. It should return an event handler for each of the three validation methods, or `None` if the plugin does not implement that method. Args: schema: The schema to validate against. schema_type: The original type which the schema was created from, e.g. the model class. schema_type_path: Path defining where `schema_type` was defined, or where `TypeAdapter` was called. schema_kind: The kind of schema to validate against. config: The config to use for validation. plugin_settings: Any plugin settings. Returns: A tuple of optional event handlers for each of the three validation methods - `validate_python`, `validate_json`, `validate_strings`. z9Pydantic plugins should implement `new_schema_validator`.)NotImplementedError)selfschema schema_typeschema_type_path schema_kindconfigplugin_settingss r%new_schema_validator+PydanticPluginProtocol.new_schema_validator+s:""]^^r$rN)r0r r1rr2rr3rr4zCoreConfig | Noner5zdict[str, object]returnr)rrrr r!r6r#rr$r%rr(sV?___) _  _ " _+_ _r$rcD\rSrSr%SrS\S'S SjrS SjrS SjrSr g ) rKzBase 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_entercg)zcCallback to be notified of successful validation. Args: result: The result of the validation. Nr)r/results r% on_success&BaseValidateHandlerProtocol.on_successU r$cg)zVCallback to be notified of validation errors. Args: error: The validation error. Nr)r/errors r%on_error$BaseValidateHandlerProtocol.on_error]r@r$cg)zpCallback to be notified of validation exceptions. Args: exception: The exception raised during validation. Nr)r/ exceptions r% on_exception(BaseValidateHandlerProtocol.on_exceptioner@r$rN)r=rr8None)rBr r8rI)rF Exceptionr8rI) rrrr r!r"r>rCrGr#rr$r%rrKs! "!Er$rcX\rSrSrSrSSSSSSSS.SSjjrSrg)rnz4Event handler for `SchemaValidator.validate_python`.N)strictextrafrom_attributescontext self_instanceby_aliasby_namecg)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. 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) r/inputrMrNrOrPrQrRrSs r%r;&ValidatePythonHandlerProtocol.on_enterqr$r)rUrrM bool | NonerNExtraValues | NonerOrXrP Any | NonerQrZrRrXrSrXr8rIrrrr r!r;r#rr$r%rrns~> #$('+"$( $#    "  %   "      r$rcR\rSrSrSrSSSSSSS.SSjjrSrg)rz2Event handler for `SchemaValidator.validate_json`.N)rMrNrPrQrRrScg)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)r/rUrMrNrPrQrRrSs r%r;$ValidateJsonHandlerProtocol.on_enterrWr$r)rUzstr | bytes | bytearrayrMrXrNrYrPrZrQrZrRrXrSrXr8rIr[rr$r%rrsq< #$("$( $# &   "    "      r$rzdict[str, StringInput] StringInputcL\rSrSrSrSSSSSS.SSjjrSrg)rz5Event handler for `SchemaValidator.validate_strings`.N)rMrNrPrRrScg)a"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. 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)r/rUrMrNrPrRrSs r%r;'ValidateStringsHandlerProtocol.on_enterrWr$r)rUr`rMrXrNrYrPrZrRrXrSrXr8rIr[rr$r%rrsd? #$(" $#    "         r$rN)r! __future__rtypingrrrr pydantic_corerr r typing_extensionsr r pydantic.configr __all__rr"rrrrrrr`rrr$r%rks #55AA1' W)WZ hi Ii _X _F ( F $? < "=x 82 Y1 %@( r$