from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: bool | None = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}


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

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: str | None = Query(default=None, max_length=50)):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

Wenn es keinen `Authorization`-Header sieht, oder der Wert keinen `Bearer `-Token hat, antwortet es direkt mit einem 401-Statuscode-Error (`UNAUTHORIZED`).

Sie müssen nicht einmal prüfen, ob der Token existiert, um einen Fehler zurückzugeben. Seien Sie sicher, dass Ihre Funktion, wenn sie ausgeführt wird, ein `str` in diesem Token enthält.

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[str | None, Query(min_length=3)]):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

async def add_process_time_header(request: Request, call_next):
    start_time = time.perf_counter()
    response = await call_next(request)
    process_time = time.perf_counter() - start_time
    response.headers["X-Process-Time"] = str(process_time)

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[str | None, Query(min_length=3, max_length=50)] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[str | None, Query(alias="item-query")] = None):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

from typing import Annotated

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        str | None, Query(min_length=3, max_length=50, pattern="^fixedquery$")
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})

Python'da bir class'tan instance oluştururken de aynı söz dizimini kullandığınızı fark etmiş olabilirsiniz.

Örneğin:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

Bu durumda `fluffy`, `Cat` class'ının bir instance'ıdır.

Ve `fluffy` oluşturmak için `Cat`'i "çağırmış" olursunuz.

from inline_snapshot import snapshot
from pydantic import BaseModel, ConfigDict, Field


@pytest.fixture(name="client")
def get_client():
    app = FastAPI()

    class ModelWithRef(BaseModel):
        ref: str = Field(validation_alias="$ref", serialization_alias="$ref")
        model_config = ConfigDict(validate_by_alias=True, serialize_by_alias=True)

    @app.get("/", response_model=ModelWithRef)
    async def read_root() -> Any: