// See the License for the specific language governing permissions and
// limitations under the License.

package manifests

import (
	"embed"
	"io/fs"
	"os"
)

// FS embeds the manifests
//
//go:embed all:charts/* profiles/*
var FS embed.FS

// BuiltinOrDir returns a FS for the provided directory. If no directory is passed, the compiled in
// FS will be used
func BuiltinOrDir(dir string) fs.FS {

		// to set the Body to nil. But turns out too much code
		// depends on NewRequest returning a non-nil Body,
		// so we use a well-known ReadCloser variable instead
		// and have the http package also treat that sentinel
		// variable to mean explicitly zero.
		if req.GetBody != nil && req.ContentLength == 0 {
			req.Body = http.NoBody
			req.GetBody = func() (io.ReadCloser, error) { return http.NoBody, nil }

  // instance for every unit test.
  MockWebServer server = new MockWebServer();

  // Schedule some responses.
  server.enqueue(new MockResponse().setBody("hello, world!"));
  server.enqueue(new MockResponse().setBody("sup, bra?"));
  server.enqueue(new MockResponse().setBody("yo dog"));

  // Start the server.
  server.start();

  // Ask the server for its URL. You'll need this to make HTTP requests.

    assertThat(response.status).isEqualTo("HTTP/1.1 202 That'll do pig")
  }

  @Test
  fun setBodyAdjustsHeaders() {
    val response = MockResponse().setBody("ABC")
    assertThat(headersToList(response)).containsExactly("Content-Length: 3")
    assertThat(response.getBody()!!.readUtf8()).isEqualTo("ABC")
  }

  @Test
  fun mockResponseAddHeader() {
    val response =
      MockResponse()
        .clearHeaders()

## Embed a single body parameter

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python
item: Item = Body(embed=True)
```

<img src="/img/tutorial/body/image01.png">

そして、それらが使われる *パスオペレーション* のそれぞれのAPIドキュメントにも表示されます:

<img src="/img/tutorial/body/image02.png">

## エディターサポート

エディターによる型ヒントと補完が関数内で利用できます (Pydanticモデルではなく `dict` を受け取ると、同じサポートは受けられません):

<img src="/img/tutorial/body/image03.png">

型によるエラーチェックも可能です:

<img src="/img/tutorial/body/image04.png">

これは偶然ではなく、このデザインに基づいてフレームワークが作られています。

```Python hl_lines="4"
{!../../../docs_src/body/tutorial001.py!}
```

## Créez votre modèle de données

Déclarez ensuite votre modèle de données en tant que classe qui hérite de `BaseModel`.

Utilisez les types Python standard pour tous les attributs :

```Python hl_lines="7-11"
{!../../../docs_src/body/tutorial001.py!}
```

## Без Pydantic

```Python
item: Item = Body(embed=True)
```

so wie in:

=== "Python 3.10+"

    ```Python hl_lines="17"
    {!> ../../../docs_src/body_multiple_params/tutorial005_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="17"
    {!> ../../../docs_src/body_multiple_params/tutorial005_an_py39.py!}
    ```

=== "Python 3.8+"

기본적으로 **FastAPI**는 직접 본문으로 예측할 것입니다.

하지만, 만약 모델 내용에 `item `키를 가진 JSON으로 예측하길 원한다면, 추가적인 본문 매개변수를 선언한 것처럼 `Body`의 특별한 매개변수인 `embed`를 사용할 수 있습니다:

```Python hl_lines="17"
{!../../../docs_src/body_multiple_params/tutorial005.py!}
```

아래 처럼:

```Python
item: Item = Body(..., embed=True)
```

이 경우에 **FastAPI**는 본문을 아래 대신에:

```JSON hl_lines="2"
{
    "name": "Foo",