currently wrong for execution.

    <<NOTE:>> Do we want to fail when we cannot bind a mojo to the lifecycle
    because of offline/online status? That would probably indicate that the user
    was trying to do something they cannot succeed at for now...so we probably

By validating the data with Pydantic we can make sure that we have, for example, exactly a `list` of `str` with the scopes and a `str` with the `username`.

Instead of, for example, a `dict`, or something else, as it could break the application at some point later, making it a security risk.

We also verify that we have a user with that username, and if not, we raise that same exception we created before.

        // Test with matching bad word
        String[] badWords2 = { "test", "bad" };
        assertTrue(item.isBadWord(badWords2));

        // Test with partial match
        item.setText("testing something");
        String[] badWords3 = { "test" };
        assertTrue(item.isBadWord(badWords3));
    }

    @Test
    public void testToEmptyMap() {
        // Test toEmptyMap method

    }

    @Override
    public OneSizeTestContainerGenerator<Map<K, V>, Entry<K, V>> getInnerGenerator() {
      return mapGenerator;
    }
  }

  // TODO(cpovirk): could something like this be used elsewhere, e.g., ReserializedListGenerator?
  static class ForwardingTestMapGenerator<K extends @Nullable Object, V extends @Nullable Object>
      implements TestMapGenerator<K, V> {

이로인해, FastAPI 0.99.0 이전 버전은 아직 OpenAPI 3.1.0 보다 낮은 버전을 사용했습니다.

///

### Pydantic과 FastAPI `examples`

`examples`를 Pydantic 모델 속에 추가할 때, `schema_extra` 혹은 `Field(examples=["something"])`를 사용하면 Pydantic 모델의 **JSON 스키마**에 해당 예시가 추가됩니다.

그리고 Pydantic 모델의 **JSON 스키마**는 API의 **OpenAPI**에 포함되고, 그 후 문서 UI 속에서 사용됩니다.

## Build a Docker Image for FastAPI { #build-a-docker-image-for-fastapi }

Okay, let's build something now! 🚀

I'll show you how to build a **Docker image** for FastAPI **from scratch**, based on the **official Python** image.

This is what you would want to do in **most cases**, for example:

Now that we have all the security flow, let's make the application actually secure, using <abbr title="JSON Web Tokens">JWT</abbr> tokens and secure password hashing.

This code is something you can actually use in your application, save the password hashes in your database, etc.

We are going to start from where we left in the previous chapter and increment it.

## About JWT { #about-jwt }

* по пути `/`
* с использованием <abbr title="метод HTTP GET"><code>get</code> операции</abbr>

/// info | Информация о `@decorator`

Синтаксис `@something` в Python называется «декоратор».

Его размещают над функцией. Как красивая декоративная шляпа (кажется, отсюда и пошёл термин).

«Декоратор» берёт функцию ниже и делает с ней что-то.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

/// tip

If you want something quick to copy and paste, don't use this example, use the last one below.

///

`@app.get("/")` 告诉 **FastAPI** 在它下方的函数负责处理如下访问请求：

* 请求路径为 `/`
* 使用 <abbr title="HTTP GET 方法"><code>get</code> 操作</abbr>

/// info | `@decorator` Info

`@something` 语法在 Python 中被称为「装饰器」。

像一顶漂亮的装饰帽一样，将它放在一个函数的上方（我猜测这个术语的命名就是这么来的）。

装饰器接收位于其下方的函数并且用它完成一些工作。

在我们的例子中，这个装饰器告诉 **FastAPI** 位于其下方的函数对应着**路径** `/` 加上 `get` **操作**。

它是一个「**路径操作装饰器**」。

///