//
//	// assign an email if the record is not found
//	db.Where(User{Name: "non_existing"}).Attrs(User{Email: "******@****.***"}).FirstOrInit(&user)
//	// user -> User{Name: "non_existing", Email: "******@****.***"}
//
//	// assign an email if the record is not found, otherwise ignore provided email
//	db.Where(User{Name: "jinzhu"}).Attrs(User{Email: "******@****.***"}).FirstOrInit(&user)

Cela comprend, par exemple :

* Les notifications par email envoyées après l'exécution d'une action :
    * Étant donné que se connecter à un serveur et envoyer un email a tendance à être «lent» (plusieurs secondes), vous pouvez retourner la réponse directement et envoyer la notification en arrière-plan.
* Traiter des données :

    home: https://min.io
    icon: https://min.io/resources/img/logo/MINIO_wordmark.png
    keywords:
    - minio
    - storage
    - object-storage
    - s3
    - cluster
    maintainers:
    - email: ******@****.***
      name: MinIO, Inc
    name: minio
    sources:
    - https://github.com/minio/minio
    urls:
    - https://charts.min.io/helm-releases/minio-5.3.0.tgz
    version: 5.3.0
  - apiVersion: v1

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

🔜 🏁 🕳 🌓:

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

⚖️ 🌅 ⚫️❔, ⚙️ `user_dict` 🔗, ⏮️ ⚫️❔ 🎚 ⚫️ 💪 ✔️ 🔮:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Pydantic 🏷 ⚪️➡️ 🎚 ➕1️⃣

```

就会生成如下结果：

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

或更精准，直接把可能会用到的内容与 `user_dict` 一起使用：

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### 用其它模型中的内容生成 Pydantic 模型

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Or more exactly, using `user_dict` directly, with whatever contents it might have in the future:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

| `license_info` | `dict` | Информация о лицензии открытого API. Может содержать несколько полей. <details><summary>поля <code>license_info</c...

```

////

#### 🔃 `**user_dict`

`UserInDB(**user_dict)` ⛓:

*🚶‍♀️ 🔑 & 💲 `user_dict` 🔗 🔑-💲 ❌, 🌓:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```