Functional Serializers

This module contains related classes and functions for serialization.

PlainSerializer dataclass

Plain serializers use a function to modify the output of serialization.

Attributes:

Name	Type	Description
func	core_schema.SerializerFunction	The serializer function.
return_type	Any	The return type for the function. If omitted it will be inferred from the type annotation.
when_used	Literal['always', 'unless-none', 'json', 'json-unless-none']	Determines when this serializer should be used. Accepts a string with values 'always', 'unless-none', 'json', and 'json-unless-none'. Defaults to 'always'.

WrapSerializer dataclass

Wrap serializers receive the raw inputs along with a handler function that applies the standard serialization logic, and can modify the resulting value before returning it as the final output of serialization.

Attributes:

Name	Type	Description
func	core_schema.WrapSerializerFunction	The serializer function to be wrapped.
return_type	Any	The return type for the function. If omitted it will be inferred from the type annotation.
when_used	Literal['always', 'unless-none', 'json', 'json-unless-none']	Determines when this serializer should be used. Accepts a string with values 'always', 'unless-none', 'json', and 'json-unless-none'. Defaults to 'always'.

field_serializer

field_serializer(
    *fields,
    mode="plain",
    return_type=PydanticUndefined,
    when_used="always",
    check_fields=None
)

Decorator that enables custom field serialization.

See Custom serializers for more information.

Four signatures are supported:

• (self, value: Any, info: FieldSerializationInfo)
• (self, value: Any, nxt: SerializerFunctionWrapHandler, info: FieldSerializationInfo)
• (value: Any, info: SerializationInfo)
• (value: Any, nxt: SerializerFunctionWrapHandler, info: SerializationInfo)

Parameters:

Name	Type	Description	Default
fields	str	Which field(s) the method should be called on.	()
mode	Literal['plain', 'wrap']	The serialization mode. plain means the function will be called instead of the default serialization logic, wrap means the function will be called with an argument to optionally call the default serialization logic.	'plain'
return_type	Any	Optional return type for the function, if omitted it will be inferred from the type annotation.	PydanticUndefined
when_used	Literal['always', 'unless-none', 'json', 'json-unless-none']	Determines the serializer will be used for serialization.	'always'
check_fields	bool | None	Whether to check that the fields actually exist on the model.	None

Returns:

Type	Description
Callable[[Any], Any]	The decorator function.

Source code in pydantic/functional_serializers.py

def field_serializer(
    *fields: str,
    mode: Literal['plain', 'wrap'] = 'plain',
    return_type: Any = PydanticUndefined,
    when_used: Literal['always', 'unless-none', 'json', 'json-unless-none'] = 'always',
    check_fields: bool | None = None,
) -> Callable[[Any], Any]:
    """Decorator that enables custom field serialization.

    See [Custom serializers](../usage/serialization.md#custom-serializers) for more information.

    Four signatures are supported:

    - `(self, value: Any, info: FieldSerializationInfo)`
    - `(self, value: Any, nxt: SerializerFunctionWrapHandler, info: FieldSerializationInfo)`
    - `(value: Any, info: SerializationInfo)`
    - `(value: Any, nxt: SerializerFunctionWrapHandler, info: SerializationInfo)`

    Args:
        fields: Which field(s) the method should be called on.
        mode: The serialization mode.

            - `plain` means the function will be called instead of the default serialization logic,
            - `wrap` means the function will be called with an argument to optionally call the
               default serialization logic.
        return_type: Optional return type for the function, if omitted it will be inferred from the type annotation.
        when_used: Determines the serializer will be used for serialization.
        check_fields: Whether to check that the fields actually exist on the model.

    Returns:
        The decorator function.
    """

    def dec(
        f: Callable[..., Any] | staticmethod[Any, Any] | classmethod[Any, Any, Any]
    ) -> _decorators.PydanticDescriptorProxy[Any]:
        dec_info = _decorators.FieldSerializerDecoratorInfo(
            fields=fields,
            mode=mode,
            return_type=return_type,
            when_used=when_used,
            check_fields=check_fields,
        )
        return _decorators.PydanticDescriptorProxy(f, dec_info)

    return dec

model_serializer

model_serializer(
    __f=None,
    *,
    mode="plain",
    when_used="always",
    return_type=PydanticUndefined
)

Decorator that enables custom model serialization.

See Custom serializers for more information.

Parameters:

Name	Type	Description	Default
__f	Callable[..., Any] | None	The function to be decorated.	None
mode	Literal['plain', 'wrap']	The serialization mode. 'plain' means the function will be called instead of the default serialization logic 'wrap' means the function will be called with an argument to optionally call the default serialization logic.	'plain'
when_used	Literal['always', 'unless-none', 'json', 'json-unless-none']	Determines when this serializer should be used.	'always'
return_type	Any	The return type for the function. If omitted it will be inferred from the type annotation.	PydanticUndefined

Returns:

Type	Description
Callable[[Any], Any]	The decorator function.

Source code in pydantic/functional_serializers.py

def model_serializer(
    __f: Callable[..., Any] | None = None,
    *,
    mode: Literal['plain', 'wrap'] = 'plain',
    when_used: Literal['always', 'unless-none', 'json', 'json-unless-none'] = 'always',
    return_type: Any = PydanticUndefined,
) -> Callable[[Any], Any]:
    """Decorator that enables custom model serialization.

    See [Custom serializers](../usage/serialization.md#custom-serializers) for more information.

    Args:
        __f: The function to be decorated.
        mode: The serialization mode.

            - `'plain'` means the function will be called instead of the default serialization logic
            - `'wrap'` means the function will be called with an argument to optionally call the default
                serialization logic.
        when_used: Determines when this serializer should be used.
        return_type: The return type for the function. If omitted it will be inferred from the type annotation.

    Returns:
        The decorator function.
    """

    def dec(f: Callable[..., Any]) -> _decorators.PydanticDescriptorProxy[Any]:
        dec_info = _decorators.ModelSerializerDecoratorInfo(mode=mode, return_type=return_type, when_used=when_used)
        return _decorators.PydanticDescriptorProxy(f, dec_info)

    if __f is None:
        return dec
    else:
        return dec(__f)  # type: ignore