/**
     * Indexes a single suggest item.
     * @param item The suggest item to index.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse index(final SuggestItem item) {
        ensureOperations();
        return indexingOps.index(index, item, badWords);
    }

    /**
     * Indexes multiple suggest items.
     * @param items The suggest items to index.

def test_get(client: TestClient):
    response = client.get("/items/baz")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "Baz",
        "description": None,
        "price": 50.2,
        "tax": 10.5,
        "tags": [],
    }


def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )

@dataclass
class Item:
    name: str
    description: str | None = None


@dataclass
class Author:
    name: str
    items: list[Item] = field(default_factory=list)  # (3)


app = FastAPI()


@app.post("/authors/{author_id}/items/", response_model=Author)  # (4)
async def create_author_items(author_id: str, items: list[Item]):  # (5)

Entonces, enviará el primer ítem, el cliente lo recibirá y empezará a procesarlo, y tú podrías seguir produciendo el siguiente ítem.

```mermaid
sequenceDiagram
    participant App
    participant Client

    App->>App: Produce Item 1
    App->>Client: Send Item 1
    App->>App: Produce Item 2

"**Streaming**" data means that your app will start sending data items to the client without waiting for the entire sequence of items to be ready.

So, it will send the first item, the client will receive and start processing it, and you might still be producing the next item.

```mermaid
sequenceDiagram
    participant App
    participant Client

    App->>App: Produce Item 1
    App->>Client: Send Item 1
    App->>App: Produce Item 2

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str


items = [
    {"name": "Foo", "description": "There comes my hero"},
    {"name": "Red", "description": "It's my aeroplane"},
]


@app.get("/items/", response_model=list[Item])
async def read_items():

            }
        }

        @Override
        public int compareTo(Item item) {
            if (item == null) {
                if (size() == 0) {
                    return 0; // 1-0 = 1- (normalize) = 1
                }
                // Compare the entire list of items with null - not just the first one, MNG-6964
                for (Item i : this) {
                    int result = i.compareTo(null);

from pydantic import BaseModel

app = FastAPI()


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


items = [
    Item(name="Plumbus", price=32.99),
    Item(name="Portal Gun", price=999.99),
    Item(name="Meeseeks Box", price=49.99),
]


@app.get("/items/stream", response_class=EventSourceResponse)
async def stream_items(

Wenn Sie nun zu:

```
http://127.0.0.1:8000/items/foo?short=1
```

oder

```
http://127.0.0.1:8000/items/foo?short=True
```

oder

```
http://127.0.0.1:8000/items/foo?short=true
```

oder

```
http://127.0.0.1:8000/items/foo?short=on
```

oder

```
http://127.0.0.1:8000/items/foo?short=yes
```

def test_path_operation():
    response = client.get("/items/foo")
    assert response.status_code == 200, response.text
    assert response.json() == {"id": "foo", "value": "there goes my hero"}


def test_path_operation_not_found():
    response = client.get("/items/bar")
    assert response.status_code == 404, response.text
    assert response.json() == {"message": "Item not found"}


def test_openapi_schema():