"content": {"application/json": {"schema": {}}},
                    },
                },
                "summary": "A",
                "operationId": "a_a_get",
            }
        }
    },
}

client = TestClient(app)


def test_openapi_schema():
    with pytest.raises(ValueError):

	var b bytes.Buffer
	gzWriter := gzip.NewWriter(&b)

	header := struct {
		Version string `json:"version"`
	}{Version: healthInfo.Version}

	enc := json.NewEncoder(gzWriter)
	if e := enc.Encode(header); e != nil {
		internalLogIf(ctx, fmt.Errorf("Could not encode health info header: %w", e))
		return nil
	}

	if e := enc.Encode(healthInfo); e != nil {

#### `openapi.json` Dosyasına Göz At

Ham OpenAPI şemasının nasıl göründüğünü merak ediyorsanız, FastAPI otomatik olarak tüm API'ınızın tanımlamalarını içeren bir JSON (şeması) oluşturur.

Bu şemayı direkt olarak <a href="http://127.0.0.1:8000/openapi.json" class="external-link" target="_blank">http://127.0.0.1:8000/openapi.json</a> bağlantısından görüntüleyebilirsiniz.

Aşağıdaki gibi başlayan bir JSON ile karşılaşacaksınız:

```JSON
{

    )
    assert response.status_code == 200
    assert response.json() == {"files_count": 2, "sizes": [8, 8]}


def test_optional_bytes_list_no_files():
    client = TestClient(app)
    response = client.post("/files")
    assert response.status_code == 200

    assert response.status_code == 302
    assert response.headers["location"] == "https://docs.pydantic.dev/"


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": {
            "/pydantic": {
                "get": {

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package json

import (
	"encoding/xml"
	"fmt"
	"strings"
)

const (
	document = "document"
	lines    = "lines"

	defaultRecordDelimiter = "\n"
)

// ReaderArgs - represents elements inside <InputSerialization><JSON/> in request XML.
type ReaderArgs struct {
	ContentType string `xml:"Type"`
	unmarshaled bool
}

// The result will be compared with the result obtained from json.unMarshal of the byte data.
func TestGetXLMetaV1Jsoniter1(t *testing.T) {
	xlMetaJSON := getXLMetaBytes(1)

	var unMarshalXLMeta xlMetaV1Object
	if err := json.Unmarshal(xlMetaJSON, &unMarshalXLMeta); err != nil {
		t.Errorf("Unmarshalling failed: %v", err)
	}

	var jsoniterXLMeta xlMetaV1Object
	json := jsoniter.ConfigCompatibleWithStandardLibrary

{* ../../docs_src/body_nested_models/tutorial005.py hl[4,10] *}

文字列は有効なURLであることが確認され、そのようにJSONスキーマ・OpenAPIで文書化されます。

## サブモデルのリストを持つ属性

Pydanticモデルを`list`や`set`などのサブタイプとして使用することもできます:

{* ../../docs_src/body_nested_models/tutorial006.py hl[20] *}

これは、次のようなJSONボディを期待します（変換、検証、ドキュメントなど）:

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

使用 `Form` 可以声明与 `Body` （及 `Query`、`Path`、`Cookie`）相同的元数据和验证。

/// info | 说明

`Form` 是直接继承自 `Body` 的类。

///

/// tip | 提示

声明表单体要显式使用 `Form` ，否则，FastAPI 会把该参数当作查询参数或请求体（JSON）参数。

///

## 关于 "表单字段"

与 JSON 不同，HTML 表单（`<form></form>`）向服务器发送数据通常使用「特殊」的编码。

**FastAPI** 要确保从正确的位置读取数据，而不是读取 JSON。

/// note | 技术细节

text_type = "text/plain; charset=utf-8"
html_type = "text/html; charset=utf-8"
override_type = "application/x-override"


def test_app():
    with client:
        response = client.get("/")
    assert response.json() == {"msg": "Hello World"}
    assert response.headers["content-type"] == orjson_type


def test_app_override():
    with client:
        response = client.get("/override")