Geri kalanı ise **FastAPI** tarafından işlenecektir.

Eğer uygulamanızı çalıştırıp <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> adresine giderseniz, Flask'tan gelen yanıtı göreceksiniz:

```txt
Hello, World from Flask!
```

Eğer <a href="http://localhost:8000/v2/" class="external-link" target="_blank">http://localhost:8000/v2/</a> adresine giderseniz, FastAPI'dan gelen yanıtı göreceksiniz:

```JSON

### Testen Sie es

Öffnen Sie Ihren Browser unter <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000.</a>

Sie werden folgende JSON-Response sehen:

```JSON
{"message": "Hello World"}
```

### Interaktive API-Dokumentation

Gehen Sie als Nächstes auf <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs </a>.

			Description:     "manage remote lambda functions",
			MultipleTargets: true,
		},
		config.HelpKV{
			Key:         config.EtcdSubSys,
			Description: "persist IAM assets externally to etcd",
		},
		config.HelpKV{
			Key:         config.BrowserSubSys,
			Description: "manage Browser HTTP specific features, such as Security headers, etc.",
			Optional:    true,
		},
		config.HelpKV{

        return newW3cXmlSchemaFactory(false);
    }

    public static SchemaFactory newW3cXmlSchemaFactory(final boolean external) {
        final SchemaFactory schemaFactory = SchemaFactory.newInstance(XMLConstants.W3C_XML_SCHEMA_NS_URI);
        if (!external) {
            disableExternalResources(schemaFactory);
        }
        return schemaFactory;
    }

    /**

## `jsonable_encoder` 사용

JSON 호환 가능 데이터만 수신하는 `fake_db` 데이터베이스가 존재한다고 가정하겠습니다.

예를 들면, `datetime` 객체는 JSON과 호환되는 데이터가 아니므로 이 데이터는 받아들여지지 않습니다.

따라서 `datetime` 객체는 <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a> 데이터를 포함하는 `str`로 변환되어야 합니다.

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

# The base path of dex and the external name of the OpenID Connect service.
# This is the canonical URL that all clients MUST use to refer to dex. If a
# path is provided, dex's HTTP service will listen at a non-root URL.
issuer: http://127.0.0.1:5556/dex

# The storage configuration determines where dex stores its state. Supported
# options include SQL flavors and Kubernetes third party resources.
#

And the rest will be handled by **FastAPI**.

If you run it and go to <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> you will see the response from Flask:

```txt
Hello, World from Flask!
```

And if you go to <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> you will see the response from FastAPI:

```JSON
{

⏮️ 🖼 ✊ ⏮️ <a href="https://code.visualstudio.com" class="external-link" target="_blank">🎙 🎙 📟</a>.

✋️ 👆 🔜 🤚 🎏 👨‍🎨 🐕‍🦺 ⏮️ <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">🗒</a> &amp; 🌅 🎏 🐍 👨‍🎨:

<img src="/img/tutorial/body/image05.png">

/// tip

## Instalacja

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

Na serwerze produkcyjnym będziesz także potrzebował serwera ASGI, np. <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> lub <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>.

You might want to try their courses:

* <a href="https://training.talkpython.fm/fastapi-courses" class="external-link" target="_blank">Talk Python Training</a>