But when checking benchmarks and comparisons you should keep the following in mind.

## Benchmarks and speed

The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command.

There are several alternatives, including:

* <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: a high performance ASGI server.

# Generate Clients

As **FastAPI** is based on the OpenAPI specification, you get automatic compatibility with many tools, including the automatic API docs (provided by Swagger UI).

One particular advantage that is not necessarily obvious is that you can **generate clients** (sometimes called <abbr title="Software Development Kits">**SDKs**</abbr> ) for your API, for many different **programming languages**.

## OpenAPI Client Generators

## About proxies with a stripped path prefix

Keep in mind that a proxy with stripped path prefix is only one of the ways to configure it.

Probably in many cases the default will be that the proxy doesn't have a stripped path prefix.

    Mais si vous avez spécifié une classe de réponse personnalisée avec `None` comme type de média, FastAPI utilisera `application/json` pour toute réponse supplémentaire associée à un modèle.

## Combinaison d'informations

次の章では、FastAPIアプリケーションをデプロイするための**具体的なレシピ**を紹介します。

しかし、今はこれらの重要な**コンセプトに基づくアイデア**を確認しましょう。これらのコンセプトは、他のどのタイプのWeb APIにも当てはまります。💡

## セキュリティ - HTTPS

<!-- NOTE: https.md written in Japanese does not exist, so it redirects to English one  -->
[前チャプターのHTTPSについて](https.md){.internal-link target=_blank}では、HTTPSがどのようにAPIを暗号化するのかについて学びました。

通常、アプリケーションサーバにとって**外部の**コンポーネントである**TLS Termination Proxy**によって提供されることが一般的です。このプロキシは通信の暗号化を担当します。

    app,
    create_access_token,
    fake_users_db,
    get_password_hash,
    verify_password,
)

client = TestClient(app)


def get_access_token(username="johndoe", password="secret", scope=None):
    data = {"username": username, "password": password}
    if scope:
        data["scope"] = scope
    response = client.post("/token", data=data)
    content = response.json()

    👉 🚫 🚫 **FastAPI**, ⚫️ 🍕 🇺🇸🔍 🛠️.

## 📦 📁 📂

👆 💪 ⚒ 📁 📦 ⚙️ 🐩 🆎 ✍ & ⚒ 🔢 💲 `None`:

=== "🐍 3️⃣.6️⃣ & 🔛"

    ```Python hl_lines="9  17"
    {!> ../../../docs_src/request_files/tutorial001_02.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="7  14"

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile

В этой же директории создайте файл `Dockerfile` и заполните его:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

!!! info
    In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.