from fastapi import FastAPI

app = FastAPI()


@app.get("/items/", include_in_schema=False)
async def read_items():

def get_items(item_a: str, item_b: int, item_c: float, item_d: bool, item_e: bytes):

from fastapi import FastAPI

app = FastAPI()


@app.get("/items/", openapi_extra={"x-aperture-labs-portal": "blue"})
async def read_items():

from fastapi import FastAPI, Form

app = FastAPI()


@app.post("/login/")
async def login(username: str = Form(), password: str = Form()):

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(user_agent: str | None = Header(default=None)):

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: list[str] | None = Query(default=None)):
    query_items = {"q": q}

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(x_token: list[str] | None = Header(default=None)):

from typing import Annotated

from fastapi import FastAPI, Header

app = FastAPI()


@app.get("/items/")
async def read_items(
    strange_header: Annotated[str | None, Header(convert_underscores=False)] = None,
):

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(strict_content_type=False)


class Item(BaseModel):
    name: str
    price: float


@app.post("/items/")
async def create_item(item: Item):

Aber in vielen Fällen würde das Lesen einer Datei oder eines dateiähnlichen Objekts blockieren.

///

Um die Event-Loop nicht zu blockieren, können Sie die Pfadoperation-Funktion einfach mit normalem `def` statt `async def` deklarieren, dadurch führt FastAPI sie in einem Threadpool-Worker aus, um die Haupt-Event-Loop nicht zu blockieren.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip | Tipp