from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",

     */
    private String sanitizeForLog(String str) {
        if (str == null) {
            return "null";
        }

        // Truncate long strings
        if (str.length() > 100) {
            str = str.substring(0, 100) + "...";
        }

        // Remove control characters
        return str.replaceAll("[\\x00-\\x1F\\x7F]", "?");
    }

    /**

class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.9+ sin Anotaciones

/// tip | Consejo

Prefiere usar la versión `Annotated` si es posible.

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):

    b: Annotated[float, Body(allow_inf_nan=False)] = 0,
) -> str:
    return "OK"


client = TestClient(app)


@pytest.mark.parametrize(
    "value,code",
    [
        ("-1", 200),
        ("inf", 200),
        ("-inf", 200),
        ("nan", 200),
        ("0", 200),
        ("342", 200),
    ],
)
def test_allow_inf_nan_param_true(value: str, code: int):
    response = client.post(f"/?x={value}")

@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_missing(path: str):
    client = TestClient(app)
    response = client.get(path)
    assert response.status_code == 200
    assert response.json() == {"p": None}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str(path: str):
    client = TestClient(app)

到目前为止，您一直在使用常见的数据类型，如:

* `int`
* `float`
* `str`
* `bool`

但是您也可以使用更复杂的数据类型。

您仍然会拥有现在已经看到的相同的特性:

* 很棒的编辑器支持。
* 传入请求的数据转换。
* 响应数据转换。
* 数据验证。
* 自动补全和文档。

## 其他数据类型

下面是一些你可以使用的其他数据类型:

* `UUID`:
    * 一种标准的 "通用唯一标识符" ，在许多数据库和系统中用作ID。
    * 在请求和响应中将以 `str` 表示。
* `datetime.datetime`:
    * 一个 Python `datetime.datetime`.
    * 在请求和响应中将表示为 ISO 8601 格式的 `str` ，比如: `2008-09-15T15:53:00+05:00`.

		}
	}
}

func TestParseKey(t *testing.T) {
	testCases := []struct {
		str         string
		expectedKey Key
	}{
		{
			str: "01894394-d046-4783-ba0d-f1c6885790dc.event",
			expectedKey: Key{
				Name:      "01894394-d046-4783-ba0d-f1c6885790dc",
				Extension: ".event",
				ItemCount: 1,
			},
		},
		{
			str: "100:01894394-d046-4783-ba0d-f1c6885790dc.event.snappy",
			expectedKey: Key{

     * @throws Exception
     */
    public void testFromBinaryToObject_DefaultFilter_AllowsSafeClasses() throws Exception {
        // Test String
        final String str = "test string";
        byte[] binary = SerializeUtil.fromObjectToBinary(str);
        assertEquals(str, SerializeUtil.fromBinaryToObject(binary));

        // Test Integer
        final Integer num = 42;
        binary = SerializeUtil.fromObjectToBinary(num);

from typing import Optional


def get_authorization_scheme_param(
    authorization_header_value: Optional[str],
) -> tuple[str, str]:
    if not authorization_header_value:
        return "", ""
    scheme, _, param = authorization_header_value.partition(" ")