{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## Den Benutzer abrufen { #get-the-user }

`get_current_user` wird eine von uns erstellte (gefakte) Hilfsfunktion verwenden, welche einen Token vom Typ `str` entgegennimmt und unser Pydantic-`User`-Modell zurückgibt:

}

// ParseReplicationTS parse http.TimeFormat first
// will try time.RFC3339Nano when parse http.TimeFormat failed
func ParseReplicationTS(str string) (time.Time, error) {
	tm, err := time.Parse(http.TimeFormat, str)
	if tm.IsZero() || err != nil {
		tm, err = time.Parse(time.RFC3339Nano, str)
	}
	return tm, err

    yield "s"
    raise ValueError("Broken after yield")


app = FastAPI()


@app.get("/catching")
def catching(d: Annotated[str, Depends(catching_dep)]) -> Any:
    raise CustomError("Simulated error during streaming")


@app.get("/broken")
def broken(d: Annotated[str, Depends(broken_dep)]) -> Any:
    return {"message": "all good?"}


client = TestClient(app)


def test_catching():

from inline_snapshot import snapshot
from pydantic import BaseModel

app = FastAPI()

oid = OpenIdConnect(openIdConnectUrl="/openid", auto_error=False)


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str | None = Security(oid)):
    if oauth_header is None:
        return None
    user = User(username=oauth_header)
    return user


@app.get("/users/me")

def get_username():
    try:
        yield "Rick"
    except OwnerError as e:
        raise HTTPException(status_code=400, detail=f"Owner error: {e}")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id not in data:
        raise HTTPException(status_code=404, detail="Item not found")
    item = data[item_id]
    if item["owner"] != username:

記得依賴可以有子依賴嗎？

`get_current_user` 會依賴我們先前建立的相同 `oauth2_scheme`。

如同先前在*路徑操作*中直接做的一樣，新的依賴 `get_current_user` 會從子依賴 `oauth2_scheme` 接收一個作為 `str` 的 `token`：

{* ../../docs_src/security/tutorial002_an_py310.py hl[25] *}

## 取得使用者 { #get-the-user }

`get_current_user` 會使用我們建立的（假的）工具函式，它接收一個作為 `str` 的 token，並回傳我們的 Pydantic `User` 模型：

{* ../../docs_src/security/tutorial002_an_py310.py hl[19:22,26:27] *}

from fastapi import APIRouter, FastAPI
from fastapi.testclient import TestClient

app = FastAPI()

router = APIRouter()


@router.get("/users/{id}")
def read_user(segment: str, id: str):
    return {"segment": segment, "id": id}


app.include_router(router, prefix="/{segment}")


client = TestClient(app)


def test_get():
    response = client.get("/seg/users/foo")

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",

    public void test_toString() {
        final SearchResult result = SearchResult.create().allRecordCount(100).queryTime(50).build();

        final String str = result.toString();
        assertNotNull(str);
        assertTrue(str.contains("allRecordCount=100"));
        assertTrue(str.contains("queryTime=50"));
    }

    /**
     * Test SearchResult with all fields populated.
     */
    @Test

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {