**FastAPI** **извлечёт** данные для **каждого поля** из **заголовков** запроса и выдаст заданную вами Pydantic-модель.

## Проверьте документацию { #check-the-docs }

Вы можете посмотреть нужные header-параметры в графическом интерфейсе сгенерированной документации по пути `/docs`:

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

		Name:       key.KeyID,
		Ciphertext: key.Ciphertext,
	})
	if err != nil {
		t.Fatalf("Failed to decrypt key: %v", err)
	}
	if !bytes.Equal(key.Plaintext, plaintext) {
		t.Fatalf("Decrypted key does not match generated one: got %x - want %x", key.Plaintext, plaintext)
	}
}

func TestDecryptKey(t *testing.T) {
	KMS, err := ParseSecretKey("my-key:eEm+JI9/q4JhH8QwKvf3LKo4DEBl6QbfvAl1CAbMIv8=")
	if err != nil {

        val runningDocsTestTask: Property<Boolean>
    }

    override fun obtain(): String? = parameters.run {
        if (enableConfigurationCacheForDocsTests.getOrElse(false)) {
            // If the CC is enabled for docs tests, use a static dummy timestamp (the Epoch) so that we get hits,
            // otherwise we'll use the current timestamp by default and miss
            val formatter = SimpleDateFormat("yyyyMMddHHmmssZ").apply {

class BackgroundTasks(StarletteBackgroundTasks):
    """
    A collection of background tasks that will be called after a response has been
    sent to the client.

    Read more about it in the
    [FastAPI docs for Background Tasks](https://fastapi.tiangolo.com/tutorial/background-tasks/).

    ## Example

    ```python
    from fastapi import BackgroundTasks, FastAPI

    app = FastAPI()

### Target language

Translate to Simplified Chinese (简体中文).

Language code: zh.

### Grammar and tone

1) Use clear, concise technical Chinese consistent with existing docs.
2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Simplified Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.

Par exemple, en étendant le modèle précédent, vous pouvez vouloir ajouter un paramètre `importance` dans le même body, en plus des paramètres `item` et `user`.

Si vous le déclarez tel quel, comme c'est une valeur [scalaire](https://docs.github.com/fr/graphql/reference/scalars), **FastAPI** supposera qu'il s'agit d'un paramètre de requête (`Query`).

Mais vous pouvez indiquer à **FastAPI** de la traiter comme une variable de body en utilisant `Body` :

{"item_id": 5, "q": "somequery"}
```

## Documentation interactive de l'API

Vous pouvez maintenant visiter <a href="http://192.168.99.100/docs" class="external-link" target="_blank">http://192.168.99.100/docs</a> ou <a href="http://127.0.0.1/docs" class="external-link" target="_blank">http://127.0.0.1/docs</a> (ou équivalent, en utilisant votre hôte Docker).

     */
    @Test
    public void testWriteParameterWordsWireFormat() {
        byte[] dst = new byte[10];
        int dstIndex = 0;
        // This method does nothing and should return 0.
        assertEquals(0, response.writeParameterWordsWireFormat(dst, dstIndex));
    }

    /**
     * Test of writeBytesWireFormat method, of class SmbComQueryInformationResponse.
     */

Attribution 4.0 International

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# 使用数据类

FastAPI 基于 **Pydantic** 构建，前文已经介绍过如何使用 Pydantic 模型声明请求与响应。

但 FastAPI 还可以使用数据类（<a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a>）：

{* ../../docs_src/dataclasses_/tutorial001.py hl[1,7:12,19:20] *}

这还是借助于 **Pydantic** 及其<a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">内置的 `dataclasses`</a>。