from typing import Annotated, Union

from fastapi import Body, FastAPI
from pydantic import BaseModel, Field

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = Field(
        default=None, title="The description of the item", max_length=300
    )
    price: float = Field(gt=0, description="The price must be greater than zero")
    tax: Union[float, None] = None


@app.put("/items/{item_id}")

from typing import Union

from fastapi import Body, Cookie, FastAPI, Header, Path, Query
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    data: str


@app.post("/examples/")
def examples(
    item: Item = Body(
        examples=[
            {"data": "Data in Body examples, example1"},
        ],
        openapi_examples={
            "Example One": {

        String str = cmd.toString();
        // toString uses Hexdump.toHexString(informationLevel, 3)
        assertTrue(str.contains(Hexdump.toHexString(level, 3)), "toString should contain hex level");
        assertTrue(str.contains("Trans2QueryFSInformation["), "should start with class name");
        assertTrue(str.contains(",informationLevel=0x"), "should contain level field marker");
    }

    try:
        yield "Rick"
    except InternalError:
        print("We don't swallow the internal error here, we raise again 😎")
        raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: str = Depends(get_username)):
    if item_id == "portal-gun":
        raise InternalError(
            f"The portal gun is too dangerous to be owned by {username}"
        )
    if item_id != "plumbus":

    try:
        yield "Rick"
    except InternalError:
        print("We don't swallow the internal error here, we raise again 😎")
        raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id == "portal-gun":
        raise InternalError(
            f"The portal gun is too dangerous to be owned by {username}"
        )
    if item_id != "plumbus":

from typing import Annotated

from fastapi import Depends, FastAPI, Header, HTTPException


async def verify_token(x_token: Annotated[str, Header()]):
    if x_token != "fake-super-secret-token":
        raise HTTPException(status_code=400, detail="X-Token header invalid")


async def verify_key(x_key: Annotated[str, Header()]):
    if x_key != "fake-super-secret-key":
        raise HTTPException(status_code=400, detail="X-Key header invalid")

    }

    public static String normalizeText(final String str, final int initialCapacity, final int maxAlphanumTermSize,
            final int maxSymbolTermSize, final boolean removeDuplication) {
        if (str == null) {
            return StringUtil.EMPTY;
        }
        try (final Reader reader = new StringReader(str)) {

### 添加类型

让我们来修改上面例子的一行代码。

我们将把下面这段代码中的函数参数从：

```Python
    first_name, last_name
```

改成：

```Python
    first_name: str, last_name: str
```

就是这样。

这些就是"类型提示"：

{* ../../docs_src/python_types/tutorial002.py hl[1] *}


这和声明默认值是不同的，例如：

```Python
    first_name="john", last_name="doe"
```

这两者不一样。

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()


class ResponseModel(BaseModel):
    code: int = 200
    message: str = Field(default_factory=lambda: "Successful operation.")


@app.get(
    "/response_model_has_default_factory_return_dict",
    response_model=ResponseModel,
)
async def response_model_has_default_factory_return_dict():

* Передайте внутрішні типи як "параметри типу", використовуючи квадратні дужки: `[` and `]`.

У Python 3.9 це буде виглядати так:

```Python
my_list: list[str]
```

У версіях Python до 3.9 це виглядає так:

```Python
from typing import List

my_list: List[str]
```

Це стандартний синтаксис Python для оголошення типів.

Використовуйте той самий стандартний синтаксис для атрибутів моделей з внутрішніми типами.