```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"],
)
```

package tests_test

import (
	"testing"
	"time"

	"gorm.io/gorm"
)

func TestDefaultValue(t *testing.T) {
	type Harumph struct {
		gorm.Model
		Email   string    `gorm:"not null;index:,unique"`
		Name    string    `gorm:"notNull;default:foo"`
		Name2   string    `gorm:"size:233;not null;default:'foo'"`
		Name3   string    `gorm:"size:233;notNull;default:''"`
		Age     int       `gorm:"default:18"`

```

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

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret2",
        "disabled": True,
    },
}

# TODO: pv2 add version with Pydantic v2
@needs_pydanticv1
def test_create_user(client):
    test_user = {"email": "******@****.***", "password": "secret"}
    response = client.post("/users/", json=test_user)
    assert response.status_code == 200, response.text
    data = response.json()
    assert test_user["email"] == data["email"]
    assert "id" in data
    response = client.post("/users/", json=test_user)

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

Oder, präziser, `user_dict` wird direkt verwendet, welche Werte es auch immer haben mag:

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

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

もっと正確に言えば、`user_dict`を将来的にどんな内容であっても直接使用することになります:

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

#### 別のモデルからつくるPydanticモデル

	stmt := dryRunDB.Where(
		DB.Where("pizza = ?", "pepperoni").Where(DB.Where("size = ?", "small").Or("size = ?", "medium")),
	).Or(
		DB.Where("pizza = ?", "hawaiian").Where("size = ?", "xlarge"),
	).Find(&Pizza{}).Statement

	execStmt := dryRunDB.Exec("WHERE (pizza = ? AND (size = ? OR size = ?)) OR (pizza = ? AND size = ?)", "pepperoni", "small", "medium", "hawaiian", "xlarge").Statement

            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"

//
//	// 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 email regardless of if record is found
//	db.Where(User{Name: "jinzhu"}).Assign(User{Email: "******@****.***"}).FirstOrInit(&user)