# Path Parameters and Numeric Validations { #path-parameters-and-numeric-validations }

In the same way that you can declare more validations and metadata for query parameters with `Query`, you can declare the same type of validations and metadata for path parameters with `Path`.

## Import `Path` { #import-path }

First, import `Path` from `fastapi`, and import `Annotated`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

# Parámetros de Path y Validaciones Numéricas { #path-parameters-and-numeric-validations }

De la misma manera que puedes declarar más validaciones y metadatos para los parámetros de query con `Query`, puedes declarar el mismo tipo de validaciones y metadatos para los parámetros de path con `Path`.

## Importar Path { #import-path }

Primero, importa `Path` de `fastapi`, e importa `Annotated`:

# Pfad-Parameter und Validierung von Zahlen { #path-parameters-and-numeric-validations }

So wie Sie mit `Query` für Query-Parameter zusätzliche Validierungen und Metadaten deklarieren können, können Sie mit `Path` die gleichen Validierungen und Metadaten für Pfad-Parameter deklarieren.

## `Path` importieren { #import-path }

Importieren Sie zuerst `Path` von `fastapi`, und importieren Sie `Annotated`:

# Parâmetros de path e validações numéricas { #path-parameters-and-numeric-validations }

Da mesma forma que você pode declarar mais validações e metadados para parâmetros de consulta com `Query`, você pode declarar o mesmo tipo de validações e metadados para parâmetros de path com `Path`.

## Importe `Path` { #import-path }

Primeiro, importe `Path` de `fastapi`, e importe `Annotated`:

# Path-параметры и валидация числовых данных { #path-parameters-and-numeric-validations }

Так же, как с помощью `Query` вы можете добавлять валидацию и метаданные для query-параметров, так и с помощью `Path` вы можете добавлять такую же валидацию и метаданные для path-параметров.

## Импорт `Path` { #import-path }

Сначала импортируйте `Path` из `fastapi`, а также импортируйте `Annotated`:

///

## About HTTP status codes { #about-http-status-codes }

/// note

If you already know what HTTP status codes are, skip to the next section.

///

In HTTP, you send a numeric status code of 3 digits as part of the response.

These status codes have a name associated to recognize them, but the important part is the number.

In short:

            try {
                readInterval = Long.parseLong(value);
            } catch (final NumberFormatException e) {
                logger.warn("Invalid readInterval value: '{}'. Expected: numeric value in milliseconds.", value);
            }
        }
        return readInterval;
    }

    /**
     * Sleep for the specified interval.
     * @param interval The interval.
     */

def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.
    Our Id type is a prime example of this.

    - tutorial/index.md
    - tutorial/first-steps.md
    - tutorial/path-params.md
    - tutorial/query-params.md
    - tutorial/body.md
    - tutorial/query-params-str-validations.md
    - tutorial/path-params-numeric-validations.md
    - tutorial/query-param-models.md
    - tutorial/body-multiple-params.md
    - tutorial/body-fields.md
    - tutorial/body-nested-models.md
    - tutorial/schema-extra-example.md

it is a <a href="#Type_definitions">defined type</a>.
</p>

<h3 id="Numeric_types">Numeric types</h3>

<p>
An <i>integer</i>, <i>floating-point</i>, or <i>complex</i> type
represents the set of integer, floating-point, or complex values, respectively.
They are collectively called <i>numeric types</i>.
The predeclared architecture-independent numeric types are:
</p>

<pre class="grammar">