`user_in`は`UserIn`クラスのPydanticモデルです。

Pydanticモデルには、モデルのデータを含む`dict`を返す`.dict()`メソッドがあります。

そこで、以下のようなPydanticオブジェクト`user_in`を作成すると:

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

そして呼び出すと:

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

これで変数`user_dict`のデータを持つ`dict`ができました。（これはPydanticモデルのオブジェクトの代わりに`dict`です）。

そして呼び出すと:

```Python
print(user_dict)

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

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

y luego llamamos a:

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

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).

///

## Motivation

Fangen wir mit einem einfachen Beispiel an:

{* ../../docs_src/python_types/tutorial001.py *}

Dieses Programm gibt aus:

```
John Doe
```

Die Funktion macht Folgendes:

* Nimmt einen `first_name` und `last_name`.
* Schreibt den ersten Buchstaben eines jeden Wortes groß, mithilfe von `title()`.

### 🤚 👆 👍 👩‍💻 💽

🔜 ⚙️ 🛠️ `GET` ⏮️ ➡ `/users/me`.

👆 🔜 🤚 👆 👩‍💻 📊, 💖:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

🚥 👆 🖊 🔒 ℹ &amp; ⏏, &amp; ⤴️ 🔄 🎏 🛠️ 🔄, 👆 🔜 🤚 🇺🇸🔍 4️⃣0️⃣1️⃣ ❌:

///

## Motivasyon

Basit bir örnek ile başlayalım:

{* ../../docs_src/python_types/tutorial001.py *}


Programın çıktısı:

```
John Doe
```

Fonksiyon sırayla şunları yapar:

* `first_name` ve `last_name` değerlerini alır.
* `title()` ile değişkenlerin ilk karakterlerini büyütür.

        Map<String, Object> context = new HashMap<>();
        context.put("password", "secretpassword123");
        context.put("sessionId", "abc123def456");
        context.put("username", "john.doe@example.com");

        logger.logEvent(EventType.AUTHENTICATION_SUCCESS, Severity.INFO, "Login attempt", context);

        // The test verifies that the logger runs without errors when masking is enabled

Verwenden Sie nun die Operation `GET` mit dem Pfad `/users/me`.

Sie erhalten Ihre Benutzerdaten:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

///

<img src="/img/tutorial/security/image08.png">

🤙 🔗 `/users/me/`, 👆 🔜 🤚 📨:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

🚥 👆 📂 👩‍💻 🧰, 👆 💪 👀 ❔ 📊 📨 🕴 🔌 🤝, 🔐 🕴 📨 🥇 📨 🔓 👩‍💻 &amp; 🤚 👈 🔐 🤝, ✋️ 🚫 ⏮️:

Ahora usa la operación `GET` con la path `/users/me`.

Obtendrás los datos de tu usuario, como:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

///

## Motivation { #motivation }

Let's start with a simple example:

{* ../../docs_src/python_types/tutorial001.py *}

Calling this program outputs:

```
John Doe
```

The function does the following:

* Takes a `first_name` and `last_name`.
* Converts the first letter of each one to upper case with `title()`.