## Die Dokumentation testen { #check-the-docs }

Sie können dies in der Dokumentations-UI unter `/docs` testen:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

**FastAPI** va **extraire** les données pour **chaque champ** à partir des **données de formulaire** de la requête et vous fournir le modèle Pydantic que vous avez défini.

## Consulter les documents { #check-the-docs }

Vous pouvez le vérifier dans l'interface des documents à `/docs` :

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

# 直接使用 Request { #using-the-request-directly }

到目前為止，你都是用對應的型別來宣告你需要的請求各部分。

例如從以下來源取得資料：

- 路徑中的參數。
- 標頭。
- Cookies。
- 等等。

這麼做時，FastAPI 會自動驗證並轉換這些資料，還會為你的 API 產生文件。

但有些情況你可能需要直接存取 `Request` 物件。

## 關於 `Request` 物件的細節 { #details-about-the-request-object }

由於 FastAPI 底層其實是 Starlette，再加上一層工具，因此在需要時你可以直接使用 Starlette 的 [`Request`](https://www.starlette.dev/requests/) 物件。

///

## Документация по `Request` { #request-documentation }

Подробнее об [объекте `Request` на официальном сайте документации Starlette](https://www.starlette.dev/requests/).

/// note | Технические детали

Вы также можете использовать `from starlette.requests import Request`.

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

    CharSequenceReader reader = new CharSequenceReader(string);
    assertTrue(reader.markSupported());

    assertThat(readFully(reader)).isEqualTo(string);
    assertFullyRead(reader);

    // reset and read again
    reader.reset();
    assertThat(readFully(reader)).isEqualTo(string);
    assertFullyRead(reader);

    // reset, skip, mark, then read the rest
    reader.reset();
    assertEquals(5, reader.skip(5));

	}
}

var UnreadRuneErrorTests = []struct {
	name string
	f    func(*Reader)
}{
	{"Read", func(r *Reader) { r.Read([]byte{0}) }},
	{"ReadByte", func(r *Reader) { r.ReadByte() }},
	{"UnreadRune", func(r *Reader) { r.UnreadRune() }},
	{"Seek", func(r *Reader) { r.Seek(0, io.SeekCurrent) }},
	{"WriteTo", func(r *Reader) { r.WriteTo(&Buffer{}) }},
}

func TestUnreadRuneError(t *testing.T) {

    }

    /**
     * Reads an XML node from a reader.
     */
    @Nonnull
    public static XmlNode read(Reader reader) throws XMLStreamException {
        return read(reader, null);
    }

    /**
     * Reads an XML node from a reader.
     */
    @Nonnull
    public static XmlNode read(Reader reader, @Nullable InputLocationBuilder locationBuilder)

            this.inputStream = inputStream;
            return this;
        }

        public XmlReaderRequestBuilder reader(Reader reader) {
            this.reader = reader;
            return this;
        }

        public XmlReaderRequestBuilder transformer(Transformer transformer) {
            this.transformer = transformer;
            return this;

# Using the Request Directly { #using-the-request-directly }

Up to now, you have been declaring the parts of the request that you need with their types.

Taking data from:

* The path as parameters.
* Headers.
* Cookies.
* etc.

And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.

But there are situations where you might need to access the `Request` object directly.