* 一个媒体类型作为键，例如 `application/json`，它的值是另一个 JSON 对象，该对象包含：
        * 一个键 `schema`，它的值是来自该模型的 JSON Schema，这里就是正确的位置。
            * **FastAPI** 会在这里添加一个引用，指向你 OpenAPI 中另一个位置的全局 JSON Schemas，而不是直接内联。这样，其他应用和客户端可以直接使用这些 JSON Schemas，提供更好的代码生成工具等。

///

为该*路径操作*在 OpenAPI 中生成的响应将是：

```JSON hl_lines="3-12"
{
    "responses": {
        "404": {
            "description": "Additional Response",
            "content": {

                restApi {
                    include 'foo', 'xpackfoo'
                }
            }
        """
        String apiFoo = "foo.json"
        String apiXpackFoo = "xpackfoo.json"
        String apiBar = "bar.json"
        String apiXpackBar = "xpackbar.json"
        setupRestResources([apiFoo, apiBar, apiXpackFoo, apiXpackBar])
        addRestTestsToProject(["10_basic.yml"])

        when:

type Config struct {
	Enabled     bool              `json:"enabled"`
	Name        string            `json:"name"`
	UserAgent   string            `json:"userAgent"`
	Endpoint    *xnet.URL         `json:"endpoint"`
	AuthToken   string            `json:"authToken"`
	ClientCert  string            `json:"clientCert"`
	ClientKey   string            `json:"clientKey"`
	BatchSize   int               `json:"batchSize"`

	ValueType ValueType
}

// KV contains a key and value pair parsed from a decoded object
type KV struct {
	Key   string `json:"key"`
	Value any    `json:"value"`
}

// KVS - represents key values in an JSON object
type KVS []KV

// MarshalJSON - implements converting a KVS datastructure into a JSON
// object with multiple keys and values.
func (kvs KVS) MarshalJSON() ([]byte, error) {
	b := new(bytes.Buffer)

tement":[{"Effect":"Allow","Action":["s3:*"],"Resource":["arn:aws:s3:::*"]}]},writeonly":{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Action":["s3:PutObject"],"Resource":["arn:aws:s3:::*"]}]}} iam-assets/users.json {} iam-assets/groups.json {} iam-assets/svcaccts.json {"dillon-service-2":{"parent":"oCnAoSQFtdVQtKwrB73j","accessKey":"dillon-service-2","secretKey":"dillon-service-2","groups":null,"claims":{"accessKey":"dillon-service-2","at_hash":"LL4jvrkBRNQhOKiC83RL","aud":"minio-clie...

    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str_missing(path: str, json: dict | None):
    client = TestClient(app)
    response = client.post(path, json=json)
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-[`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps) kodiert werden kann.

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

El resultado de llamarlo es algo que puede ser codificado con la función estándar de Python [`json.dumps()`](https://docs.python.org/3/library/json.html#json.dumps).

	return ARN{TargetID: tid, region: region}
}

// MarshalJSON - encodes to JSON data.
func (tid TargetID) MarshalJSON() ([]byte, error) {
	return json.Marshal(tid.String())
}

// UnmarshalJSON - decodes JSON data.
func (tid *TargetID) UnmarshalJSON(data []byte) error {
	var s string
	if err := json.Unmarshal(data, &s); err != nil {
		return err
	}

	targetID, err := parseTargetID(s)

    assert response.status_code == 200, response.text
    assert response.json() == "a"


def test_b():
    response = client.get("/b")
    assert response.status_code == 200, response.text
    assert response.json() == "b"


def test_c():
    response = client.get("/c")
    assert response.status_code == 200, response.text
    assert response.json() == "c"


def test_d():
    response = client.get("/d")