<div class="termy">

```console
$ ADMIN_EMAIL="deadpool@example.com" APP_NAME="ChimichangApp" fastapi run main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

/// tip

要為單一指令設定多個環境變數，只要用空白分隔它們，並全部放在指令前面即可。

///

如此一來，`admin_email` 設定會被設為 `"deadpool@example.com"`。

`app_name` 會是 `"ChimichangApp"`。

    This feature may be used with `POST` requests to cache their responses. In such cases the
    request body is not used to determine the cache key, so you must manually add cache-relevant
    data to the override URL. For example, you could add a `request-body-sha256` query parameter so
    requests with the same POST data get the same cache entry.

 *  New: `HttpLoggingInterceptor.redactQueryParams()` configures the query parameters to redact

    * En requests y responses, manejado igual que un `float`.
* Puedes revisar todos los tipos de datos válidos de Pydantic aquí: [Tipos de datos de Pydantic](https://docs.pydantic.dev/latest/usage/types/types/).

## Ejemplo { #example }

Aquí tienes un ejemplo de una *path operation* con parámetros usando algunos de los tipos anteriores.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

        doc.put("title", "Test Title");
        doc.put("url", "https://example.com");
        doc.put("doc_id", "doc-123");
        doc.put("content_description", "Test snippet");

        final ChatSource source = new ChatSource(5, doc);

        assertEquals(5, source.getIndex());
        assertEquals("Test Title", source.getTitle());
        assertEquals("https://example.com", source.getUrl());

  }

  @Test fun testMultipleParameters() {
    val mediaType = parse("Message/Partial; number=2; total=3; id=\"oc=abc@example.com\"")
    assertEquals("2", mediaType.parameter("number"))
    assertEquals("3", mediaType.parameter("total"))
    assertEquals("oc=abc@example.com", mediaType.parameter("id"))
    assertNull(mediaType.parameter("foo"))
  }

  @Test fun testRepeatedParameter() {

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.model_dump()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="john.doe@example.com")
```

그 다음, 다음과 같이 호출합니다:

```Python
user_dict = user_in.model_dump()
```

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

```Python

Sonraki adımda server'ı çalıştırırken konfigürasyonları environment variable olarak geçersiniz; örneğin `ADMIN_EMAIL` ve `APP_NAME` şu şekilde ayarlanabilir:

<div class="termy">

```console
$ ADMIN_EMAIL="deadpool@example.com" APP_NAME="ChimichangApp" fastapi run main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

/// tip | İpucu

    }

    @Test
    public void test_getHostKey_withVirtualHost() {
        RelatedContent entity = createRelatedContent("term", "content", "example.com");
        String key = relatedContentHelper.getHostKey(entity);
        assertEquals("example.com", key);
    }

    @Test
    public void test_getRelatedContents_noMatch() {
        List<RelatedContent> testData = new ArrayList<>();

### Die resultierende Response { #the-resulting-response }

Wenn der Client `http://example.com/items/foo` anfordert (ein `item_id` `"foo"`), erhält dieser Client einen HTTP-Statuscode 200 und diese JSON-Response:

```JSON
{
  "item": "The Foo Wrestlers"
}
```

Und es muss etwas geben, das für die **Erneuerung der HTTPS-Zertifikate** zuständig ist, es könnte sich um dieselbe Komponente handeln oder um etwas anderes.

### Beispieltools für HTTPS { #example-tools-for-https }

Einige der Tools, die Sie als TLS-Terminierungsproxy verwenden können, sind:

* Traefik
    * Handhabt automatisch Zertifikat-Erneuerungen ✨
* Caddy