관리-도구
편집 파일: __init__.cpython-38.pyc
U /?�f� � @ s� U d Z ddlmZ ddlmZmZmZ ddlmZm Z m Z ddl m Z m Z mZ dZdZded < G d d � d e�Ze d Zded < G dd� de �ZG dd� de �ZG dd� dee �ZG dd� dee �ZdZded< G dd� dee �ZdS )z�Usage docs: https://docs.pydantic.dev/2.8/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� SchemaKind�vtuple[ValidatePythonHandlerProtocol | None, ValidateJsonHandlerProtocol | None, ValidateStringsHandlerProtocol | None]r r c @ s" e Zd ZU dZded< ded< dS )r zQPath defining where `schema_type` was defined, or where `TypeAdapter` was called.�str�module�nameN)�__name__� __module__� __qualname__�__doc__�__annotations__� r r �F/opt/hc_python/lib/python3.8/site-packages/pydantic/plugin/__init__.pyr s r )Z BaseModelZ TypeAdapter� dataclassZ create_modelZ validate_callr c @ s* e Zd ZdZdddddddd �d d �Zd S ) r z5Protocol defining the interface for Pydantic plugins.r r r r zCoreConfig | Nonezdict[str, object]r )�schema� schema_type�schema_type_path� schema_kind�config�plugin_settings�returnc C s t d��dS )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`.N)�NotImplementedError)�selfr r! r" r# r$ r% r r r �new_schema_validator( s z+PydanticPluginProtocol.new_schema_validatorN)r r r r r) r r r r r % s r c @ sJ e Zd ZU dZded< ddd�dd�Zd dd �d d �Zd dd�dd�ZdS )r z�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. zCallable[(Ellipsis, None)]�on_enterr �None)�resultr& c C s dS )z{Callback to be notified of successful validation. Args: result: The result of the validation. Nr )r( r, r r r � on_successR s z&BaseValidateHandlerProtocol.on_successr )�errorr& c C s dS )znCallback to be notified of validation errors. Args: error: The validation error. Nr )r( r. r r r �on_errorZ s z$BaseValidateHandlerProtocol.on_error� Exception)� exceptionr& c C s dS )z�Callback to be notified of validation exceptions. Args: exception: The exception raised during validation. Nr )r( r1 r r r � on_exceptionb s z(BaseValidateHandlerProtocol.on_exceptionN)r r r r r r- r/ r2 r r r r r H s r c @ s4 e Zd ZdZddddd�ddddddd �d d �ZdS ) r z4Event handler for `SchemaValidator.validate_python`.N)�strict�from_attributes�context� self_instancer � bool | None�dict[str, Any] | None� Any | Noner+ )�inputr3 r4 r5 r6 r& c C s dS )aT Callback to be notified of validation start, and create an instance of the event handler. Args: input: The input to be validated. strict: Whether to validate the object in strict mode. from_attributes: Whether to validate objects as inputs by extracting attributes. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. Nr )r( r: r3 r4 r5 r6 r r r r* n s z&ValidatePythonHandlerProtocol.on_enter�r r r r r* r r r r r k s �r c @ s0 e Zd ZdZdddd�dddddd �d d �ZdS ) r z2Event handler for `SchemaValidator.validate_json`.N)r3 r5 r6 zstr | bytes | bytearrayr7 r8 r9 r+ )r: r3 r5 r6 r& c C s dS )a� Callback to be notified of validation start, and create an instance of the event handler. Args: input: The JSON data to be validated. strict: Whether to validate the object in strict mode. context: The context to use for validation, this is passed to functional validators. self_instance: An instance of a model to set attributes on from validation, this is used when running validation from the `__init__` method of a model. Nr )r( r: r3 r5 r6 r r r r* � s z$ValidateJsonHandlerProtocol.on_enterr; r r r r r � s �r zdict[str, StringInput]� StringInputc @ s, e Zd ZdZddd�ddddd�d d �ZdS ) r z5Event handler for `SchemaValidator.validate_strings`.N)r3 r5 r< r7 r8 r+ )r: r3 r5 r& c C s dS )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 )r( r: r3 r5 r r r r* � s z'ValidateStringsHandlerProtocol.on_enterr; r r r r r � s �r N)r � __future__r �typingr r r Z pydantic_corer r r �typing_extensionsr r r �__all__r r r r r r r r r< r r r r r �<module> s ##