try:
    import orjson
except ImportError:  # pragma: nocover
    orjson = None  # type: ignore


class UJSONResponse(JSONResponse):
    """
    JSON response using the high-performance ujson library to serialize data to JSON.

    Read more about it in the
    [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/).
    """

**FastAPI** prendra le modèle Pydantic à partir de là, générera le `JSON Schema` et le placera au bon endroit.

Le bon endroit est :

* Dans la clé `content`, qui a pour valeur un autre objet JSON (`dict`) qui contient :
    * Une clé avec le type de support, par ex. `application/json`, qui contient comme valeur un autre objet JSON, qui contient :
        * Une clé `schema`, qui a pour valeur le schéma JSON du modèle, voici le bon endroit.

// XferStats has transfer stats for replication
type XferStats struct {
	Curr    float64          `json:"currRate" msg:"cr"`
	Avg     float64          `json:"avgRate" msg:"av"`
	Peak    float64          `json:"peakRate" msg:"p"`
	N       int64            `json:"n" msg:"n"`
	measure *rateMeasurement `json:"-"`
	sma     *SMA             `json:"-"`
}

// Clone returns a copy of XferStats
func (rx *XferStats) Clone() *XferStats {

		Enable        bool               `json:"enable"`
		RootCAs       *x509.CertPool     `json:"-"`
		SkipVerify    bool               `json:"skipVerify"`
		ClientAuth    tls.ClientAuthType `json:"clientAuth"`
		ClientTLSCert string             `json:"clientTLSCert"`
		ClientTLSKey  string             `json:"clientTLSKey"`
	} `json:"tls"`
	SASL struct {
		Enable    bool   `json:"enable"`
		User      string `json:"username"`

                }
            ]
        }
    )


@needs_py39
def test_post_body_json(client: TestClient):
    response = client.post("/files/", json={"file": "Foo"})
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",
                    "loc": ["body", "files"],

        - 媒体类型的密钥，例如 `application/json` ，它包含另一个`JSON`对象作为值，该对象包含：
            - 一个键` schema` ，它的值是来自模型的`JSON Schema`，正确的位置在这里。
                - **FastAPI**在这里添加了对OpenAPI中另一个地方的全局JSON模式的引用，而不是直接包含它。这样，其他应用程序和客户端可以直接使用这些JSON模式，提供更好的代码生成工具等。

///

**在OpenAPI中为该路径操作生成的响应将是：**

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

    assert response.status_code == 200, response.text
    assert response.json() == {"filename": "test.txt"}


def test_openapi_schema():
    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"},
        "paths": {
            "/files/": {

    assert response.status_code == 200, response.text
    assert response.json() == {"filename": "test.txt"}


def test_openapi_schema():
    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"},
        "paths": {
            "/files/": {

O **FastAPI** pegará o modelo do Pydantic, gerará o `JSON Schema`, e adicionará no local correto.

O local correto é:

* Na chave `content`, que tem como valor um outro objeto JSON (`dict`) que contém:
    * Uma chave com o media type, como por exemplo `application/json`, que contém como valor um outro objeto JSON, contendo::
        * Uma chave `schema`, que contém como valor o JSON Schema do modelo, sendo este o local correto.

    response = client.post("/files/")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "No file sent"}


def test_post_uploadfile_no_body():
    response = client.post("/uploadfile/")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "No upload file sent"}


def test_post_file(tmp_path):
    path = tmp_path / "test.txt"