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Annotated Handlers

Type annotations to use with __get_pydantic_core_schema__ and __get_pydantic_json_schema__.

GetJsonSchemaHandler

Handler to call into the next JSON schema generation function.

Attributes:

Name Type Description
mode JsonSchemaMode

Json schema mode, can be validation or serialization.

resolve_ref_schema 

resolve_ref_schema(__maybe_ref_json_schema)

Get the real schema for a {"$ref": ...} schema. If the schema given is not a $ref schema, it will be returned as is. This means you don't have to check before calling this function.

Parameters:

Name Type Description Default
__maybe_ref_json_schema JsonSchemaValue

A JsonSchemaValue, ref based or not.

 required

Raises:

Type Description
LookupError

If the ref is not found.

Returns:

Name Type Description
JsonSchemaValue JsonSchemaValue

A JsonSchemaValue that has no $ref.
Source code in pydantic/annotated_handlers.py 
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def resolve_ref_schema(self, __maybe_ref_json_schema: JsonSchemaValue) -> JsonSchemaValue:
    """Get the real schema for a `{"$ref": ...}` schema.
    If the schema given is not a `$ref` schema, it will be returned as is.
    This means you don't have to check before calling this function.

    Args:
        __maybe_ref_json_schema: A JsonSchemaValue, ref based or not.

    Raises:
        LookupError: If the ref is not found.

    Returns:
        JsonSchemaValue: A JsonSchemaValue that has no `$ref`.
    """
    raise NotImplementedError

GetCoreSchemaHandler

Handler to call into the next CoreSchema schema generation function.

field_name property 

field_name: str | None

Get the name of the closest field to this validator.

generate_schema 

generate_schema(__source_type)

Generate a schema unrelated to the current context. Use this function if e.g. you are handling schema generation for a sequence and want to generate a schema for its items. Otherwise, you may end up doing something like applying a min_length constraint that was intended for the sequence itself to its items!

Parameters:

Name Type Description Default
__source_type Any

The input type.

 required

Returns:

Name Type Description
CoreSchema core_schema.CoreSchema

The pydantic-core CoreSchema generated.
Source code in pydantic/annotated_handlers.py 
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def generate_schema(self, __source_type: Any) -> core_schema.CoreSchema:
    """Generate a schema unrelated to the current context.
    Use this function if e.g. you are handling schema generation for a sequence
    and want to generate a schema for its items.
    Otherwise, you may end up doing something like applying a `min_length` constraint
    that was intended for the sequence itself to its items!

    Args:
        __source_type: The input type.

    Returns:
        CoreSchema: The `pydantic-core` CoreSchema generated.
    """
    raise NotImplementedError

resolve_ref_schema 

resolve_ref_schema(__maybe_ref_schema)

Get the real schema for a definition-ref schema. If the schema given is not a definition-ref schema, it will be returned as is. This means you don't have to check before calling this function.

Parameters:

Name Type Description Default
__maybe_ref_schema core_schema.CoreSchema

A CoreSchema, ref-based or not.

 required

Raises:

Type Description
LookupError

If the ref is not found.

Returns:

Type Description
core_schema.CoreSchema

A concrete CoreSchema.
Source code in pydantic/annotated_handlers.py 
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def resolve_ref_schema(self, __maybe_ref_schema: core_schema.CoreSchema) -> core_schema.CoreSchema:
    """Get the real schema for a `definition-ref` schema.
    If the schema given is not a `definition-ref` schema, it will be returned as is.
    This means you don't have to check before calling this function.

    Args:
        __maybe_ref_schema: A `CoreSchema`, `ref`-based or not.

    Raises:
        LookupError: If the `ref` is not found.

    Returns:
        A concrete `CoreSchema`.
    """
    raise NotImplementedError