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"""Usage docs: https://docs.pydantic.dev/2.6/concepts/plugins#build-a-plugin Plugin interface for Pydantic plugins, and related types. """ from __future__ import annotations from typing import Any, Callable, NamedTuple from pydantic_core import CoreConfig, CoreSchema, ValidationError from typing_extensions import Literal, Protocol, TypeAlias __all__ = ( 'PydanticPluginProtocol', 'BaseValidateHandlerProtocol', 'ValidatePythonHandlerProtocol', 'ValidateJsonHandlerProtocol', 'ValidateStringsHandlerProtocol', 'NewSchemaReturns', 'SchemaTypePath', 'SchemaKind', ) NewSchemaReturns: TypeAlias = 'tuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]' class SchemaTypePath(NamedTuple): """Path defining where `schema_type` was defined, or where `TypeAdapter` was called.""" module: str name: str SchemaKind: TypeAlias = Literal['BaseModel', 'TypeAdapter', 'dataclass', 'create_model', 'validate_call'] class PydanticPluginProtocol(Protocol): """Protocol defining the interface for Pydantic plugins.""" def new_schema_validator( self, schema: CoreSchema, schema_type: Any, schema_type_path: SchemaTypePath, schema_kind: SchemaKind, config: CoreConfig | None, plugin_settings: dict[str, object], ) -> tuple[ ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None ]: """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`. """ raise NotImplementedError('Pydantic plugins should implement `new_schema_validator`.') class BaseValidateHandlerProtocol(Protocol): """Base 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. """ on_enter: Callable[..., None] """`on_enter` is changed to be more specific on all subclasses""" def on_success(self, result: Any) -> None: """Callback to be notified of successful validation. Args: result: The result of the validation. """ return def on_error(self, error: ValidationError) -> None: """Callback to be notified of validation errors. Args: error: The validation error. """ return def on_exception(self, exception: Exception) -> None: """Callback to be notified of validation exceptions. Args: exception: The exception raised during validation. """ return class ValidatePythonHandlerProtocol(BaseValidateHandlerProtocol, Protocol): """Event handler for `SchemaValidator.validate_python`.""" def on_enter( self, input: Any, *, strict: bool | None = None, from_attributes: bool | None = None, context: dict[str, Any] | None = None, self_instance: Any | None = None, ) -> None: """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. """ pass class ValidateJsonHandlerProtocol(BaseValidateHandlerProtocol, Protocol): """Event handler for `SchemaValidator.validate_json`.""" def on_enter( self, input: str | bytes | bytearray, *, strict: bool | None = None, context: dict[str, Any] | None = None, self_instance: Any | None = None, ) -> None: """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. """ pass StringInput: TypeAlias = 'dict[str, StringInput]' class ValidateStringsHandlerProtocol(BaseValidateHandlerProtocol, Protocol): """Event handler for `SchemaValidator.validate_strings`.""" def on_enter( self, input: StringInput, *, strict: bool | None = None, context: dict[str, Any] | None = None ) -> None: """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. """ pass