}
        RenderDataUtil.register(data, "webConfigItems", itemList);
    }

    /**
     * Creates a map item for UI rendering with label and value.
     *
     * @param label the display label for the item
     * @param value the value for the item
     * @return map containing the label and value
     */
    protected Map<String, String> createItem(final String label, final String value) {

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=[
                {
                    "name": "Foo",

class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    image: Image | None = None


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

Откройте браузер на [http://127.0.0.1:8000/items/5?q=somequery](http://127.0.0.1:8000/items/5?q=somequery).

Вы увидите JSON-ответ:

```JSON
{"item_id": 5, "q": "somequery"}
```

Вы уже создали API, который:

* Получает HTTP-запросы по _путям_ `/` и `/items/{item_id}`.
* Оба _пути_ используют `GET` операции (также известные как HTTP _методы_).

from fastapi import FastAPI
from pydantic import BaseModel


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


app = FastAPI()


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

from dataclasses import dataclass

from fastapi import FastAPI


@dataclass
class Item:
    name: str
    price: float
    description: str | None = None
    tax: float | None = None


app = FastAPI()


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

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


class Item(BaseModel):
    name: str


app = FastAPI()


@app.get("/items/stream-bare-async")
async def stream_bare_async() -> AsyncIterable:
    yield {"name": "foo"}


@app.get("/items/stream-bare-sync")
def stream_bare_sync() -> Iterable:
    yield {"name": "bar"}


client = TestClient(app)

app = FastAPI()


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


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):
    results = {"item_id": item_id, "item": item, "user": user, "importance": importance}

from fastapi import FastAPI
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    id: str
    value: str


class Message(BaseModel):
    message: str


app = FastAPI()


@app.get("/items/{item_id}", response_model=Item, responses={404: {"model": Message}})
async def read_item(item_id: str):
    if item_id == "foo":

                items.length, size, type, parseTime, indexTime, cpuLoad, maxMemory / (1024 * 1024),
                (maxMemory - freeMemory) / (1024 * 1024));
        logger.info(msg);
        if (logger.isDebugEnabled()) {
            for (final SuggestItem item : items) {
                logger.debug("[{}] {}", type, item.toJsonString());
            }
        }
    }

    /**