Then you can declare an `alias`, and that alias is what will be used to find the parameter value:

{* ../../docs_src/query_params_str_validations/tutorial009_an_py310.py hl[9] *}

## Deprecating parameters { #deprecating-parameters }

Now let's say you don't like this parameter anymore.

    dependentSchemas: Optional[dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[list["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generates a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", list["SchemaOrBool"]]] = None

    # This expects that GenerateJsonSchema was already used to generate the definitions
    json_schema = field_mapping[(field, override_mode or field.mode)]
    if "$ref" not in json_schema:
        # TODO remove when deprecating Pydantic v1
        # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207
        json_schema["title"] = field.field_info.title or field_alias.title().replace(

Тогда можно объявить `alias`, и этот псевдоним будет использован для поиска значения параметра:

{* ../../docs_src/query_params_str_validations/tutorial009_an_py310.py hl[9] *}

## Маркировка параметров как устаревших { #deprecating-parameters }

Предположим, этот параметр вам больше не нравится.

{* ../../docs_src/query_params_str_validations/tutorial009_an_py310.py hl[9] *}

## Parameter als deprecatet ausweisen { #deprecating-parameters }

Nehmen wir an, Ihnen gefällt dieser Parameter nicht mehr.

Então você pode declarar um `alias`, e esse alias será usado para encontrar o valor do parâmetro:

{* ../../docs_src/query_params_str_validations/tutorial009_an_py310.py hl[9] *}

## Descontinuando parâmetros { #deprecating-parameters }

Agora digamos que você não gosta mais desse parâmetro.

Entonces puedes declarar un `alias`, y ese alias será usado para encontrar el valor del parámetro:

{* ../../docs_src/query_params_str_validations/tutorial009_an_py310.py hl[9] *}

## Declarar parámetros obsoletos { #deprecating-parameters }

Ahora digamos que ya no te gusta este parámetro.

- Deprecated metrics will be hidden as per the metrics deprecation policy. https://kubernetes.io/docs/reference/using-api/deprecation-policy/#deprecating-a-metric . ([#133436](https://github.com/kubernetes/kubernetes/pull/133436), [@richabanker](https://github.com/richabanker)) [SIG Architecture, Instrumentation and Network]

            # would pass the validation and be returned as is.
            # By being a new field, no inheritance will be passed as is. A new model
            # will always be created.
            # TODO: remove when deprecating Pydantic v1
            self.secure_cloned_response_field: Optional[ModelField] = (
                create_cloned_field(self.response_field)
            )
        else:

  - [Urgent Upgrade Notes](#urgent-upgrade-notes)
    - [(No, really, you MUST read this before you upgrade)](#no-really-you-must-read-this-before-you-upgrade)
  - [Changes by Kind](#changes-by-kind-3)
    - [Deprecation](#deprecation)
    - [API Change](#api-change)
    - [Feature](#feature-2)
    - [Failing Test](#failing-test)
    - [Bug or Regression](#bug-or-regression-3)
    - [Other (Cleanup or Flake)](#other-cleanup-or-flake-1)