{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

该字符串将被检查是否为有效的 URL，并在 JSON Schema / OpenAPI 文档中进行记录。

## 带有一组子模型的属性

你还可以将 Pydantic 模型用作 `list`、`set` 等的子类型：

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

这将期望（转换，校验，记录文档等）下面这样的 JSON 请求体：

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,

        |  -H 'Authorization: Bearer abc123' \
        |  -H 'Content-Type: application/json; charset=utf-8' \
        |  --data '{"key":"value"}'
        """.trimMargin(),
      )
  }

  @Test
  fun bodyContentTypeTakesPrecedence() {
    val body = "{\"key\":\"value\"}".toRequestBody("application/json".toMediaType())

    val request =
      Request
        .Builder()

	}

	var inputs []string

	// Parse parameters
	switch {
	case *stdin:
		// Parse 'mc support inspect --json' output
		input := struct {
			File string `json:"file"`
			Key  string `json:"key"`
		}{}
		got, err := io.ReadAll(os.Stdin)
		if err != nil {
			fatalErr(err)
		}
		fatalErr(json.Unmarshal(got, &input))
		inputs = []string{input.File}
		*keyHex = input.Key
	case len(flag.Args()) == 1:

    if mod_name.startswith("tutorial003"):
        response_content = {"application/json": {"schema": {}}}
    else:
        response_content = {"text/html": {"schema": {"type": "string"}}}

    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},

package config

import (
	"encoding/json"
	"fmt"
	"strconv"
	"strings"
)

// BoolFlag - wrapper bool type.
type BoolFlag bool

// String - returns string of BoolFlag.
func (bf BoolFlag) String() string {
	if bf {
		return "on"
	}

	return "off"
}

// MarshalJSON - converts BoolFlag into JSON data.
func (bf BoolFlag) MarshalJSON() ([]byte, error) {

* Автоматична документація моделей даних за допомогою <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (оскільки OpenAPI базується саме на JSON Schema).
* Розроблено на основі цих стандартів після ретельного аналізу, а не як додатковий рівень поверх основної архітектури.

     * Supports both GET and PUT requests for retrieving paginated duplicate host configurations.
     *
     * @param body search parameters for filtering and pagination
     * @return JSON response containing duplicate host settings list with pagination info
     */
    @Execute
    public JsonResponse<ApiResult> settings(final SearchBody body) {
        validateApi(body, messages -> {});

import com.google.gson.Gson;
import com.google.gson.annotations.SerializedName;
import com.google.gson.reflect.TypeToken;

/**
 * A Java class to verify that all .adoc files and their anchors listed in a JSON file exist
 * within a specified directory.
 */
@CacheableTask
public abstract class FindMissingDocumentationFiles extends DefaultTask {
    private static final Set<String> EXCLUDED_FILES = new HashSet<>(Arrays.asList(

Par défaut, **FastAPI** convertirait automatiquement cette valeur de retour en JSON en utilisant le `jsonable_encoder` expliqué dans [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Ensuite, en arrière-plan, il mettra ces données JSON-compatible (par exemple un `dict`) à l'intérieur d'un `JSONResponse` qui sera utilisé pour envoyer la réponse au client.

	fi
done

echo "{\"Parts\":[${PARTS}]}" >fileparts.json
jq <fileparts.json
aws s3api --endpoint-url=https://localhost:9001 complete-multipart-upload --multipart-upload file://fileparts.json --bucket test-bucket --key mpartobj --upload-id "${UPLOAD_ID}" --no-verify-ssl --profile enterprise
sleep 120

# List the objects from replicated site