À la place, il prend les octets JSON générés avec Pydantic en utilisant le modèle de réponse (ou le type de retour) et renvoie directement une `Response` avec le type de média approprié pour JSON (`application/json`).

## Notes { #notes }

///

## Múltiples parámetros del cuerpo { #multiple-body-parameters }

En el ejemplo anterior, las *path operations* esperarían un cuerpo JSON con los atributos de un `Item`, como:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

    automatically JSON-encoded and sent as the `data:` field.

    All `data` values **including plain strings** are JSON-serialized.

    For example, `data="hello"` produces `data: "hello"` on the wire (with
    quotes).
    """

    data: Annotated[
        Any,
        Doc(
            """
            The event payload.

            Can be any JSON-serializable value: a Pydantic model, dict, list,

package json

import (
	"bufio"
	"bytes"
	"io"
	"runtime"
	"sync"

	"github.com/minio/minio/internal/bpool"
	"github.com/minio/minio/internal/s3select/jstream"
	"github.com/minio/minio/internal/s3select/sql"
)

// PReader - JSON record reader for S3Select.
// Operates concurrently on line-delimited JSON.
type PReader struct {
	args        *ReaderArgs

# Chequeo estricto de Content-Type { #strict-content-type-checking }

Por defecto, **FastAPI** usa un chequeo estricto del header `Content-Type` para request bodies JSON, esto significa que las requests JSON deben incluir un header `Content-Type` válido (p. ej. `application/json`) para que el request body se parse como JSON.

## Riesgo de CSRF { #csrf-risk }

	Host          string                        `json:"host"`
	Err           string                        `json:"err,omitempty"`
	WaitingDrives map[string]madmin.DiskMetrics `json:"waitingDrives,omitempty"`
}

type serviceResult struct {
	Action  madmin.ServiceAction `json:"action"`
	DryRun  bool                 `json:"dryRun"`
	Results []servicePeerResult  `json:"results,omitempty"`
}

## Herhangi Bir Veriyi JSON Uyumlu Hale Getirme { #convert-any-data-to-json-compatible }

Herhangi bir veriyi JSON uyumlu hale getirmek için, [Tutorial - JSON Compatible Encoder](../tutorial/encoder.md) dokümantasyonunu okuyun.

## OpenAPI Meta Verileri - Dokümantasyon { #openapi-metadata-docs }

				formatMetaV1: formatMetaV1{
					Version: "2",
					Format:  "Erasure",
				},
				Erasure: struct {
					Version          string     `json:"version"`
					This             string     `json:"this"`
					Sets             [][]string `json:"sets"`
					DistributionAlgo string     `json:"distributionAlgo"`
				}{
					Version: "2",
				},
			},
			false,
		},
		// Invalid Erasure format "Unknown".
		{

            builder.field("media", "test");
            builder.endObject();
            return builder;
        };

        // Test with JSON
        OutputStream jsonOutput = SearchEngineUtil.getXContentBuilderOutputStream(callback, XContentType.JSON);
        assertNotNull(jsonOutput);

        // Test with YAML

Es wird getestet, ob der String eine gültige URL ist, und als solche wird er in JSON Schema / OpenAPI dokumentiert.

## Attribute mit Listen von Kindmodellen { #attributes-with-lists-of-submodels }

Sie können Pydantic-Modelle auch als Typen innerhalb von `list`, `set`, usw. verwenden:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

Das wird einen JSON-Body erwarten (konvertieren, validieren, dokumentieren, usw.) wie: