class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None

    model_config = {
        "json_schema_extra": {
            "examples": [
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                }
            ]
        }

    assert response.json() == {"name": "coerce", "price": 1.0, "owner_ids": None}


def test_validlist():
    response = client.get("/items/validlist")
    response.raise_for_status()
    assert response.json() == [
        {"name": "foo", "price": None, "owner_ids": None},
        {"name": "bar", "price": 1.0, "owner_ids": None},
        {"name": "baz", "price": 2.0, "owner_ids": [1, 2, 3]},

    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


@needs_py310
def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})
    assert response.status_code == 200

    response = client.post("/items/", json={"name": "Foo", "price": 50.5})
    assert response.status_code == 200
    assert response.json() == {
        "name": "Foo",
        "price": 50.5,
        "description": None,
        "tax": None,
    }


def test_post_with_str_float(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "50.5"})
    assert response.status_code == 200

                        ["name", "description", "price", "tax"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "price": {"title": "Price", "type": "number"},

    }


def test_invalid_price(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": -3.0}})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",

```JSON hl_lines="2"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

아래 처럼 예측할 것 입니다:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    }
}
```

## 정리

	// will set all product's price to last product's price + 10
	for idx, value := range []int64{410, 410, 410} {
		if products[idx].Price != value {
			t.Errorf("invalid price for product #%v, expects: %v, got %v", idx, value, products[idx].Price)
		}
	}

	products2 := []Product3{
		{Name: "Product-1", Price: 100},
		{Name: "Product-2", Price: 200},
		{Name: "Product-3", Price: 300},
	}

	DB.Create(&products2)

    }


@needs_py310
def test_invalid_price(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": -3.0}})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",

                        ["name", "description", "price", "tax"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "price": {"title": "Price", "type": "number"},