Stellen Sie sich vor, Sie entwickeln eine Anwendung, mit der Sie Rechnungen erstellen können.

Diese Rechnungen haben eine `id`, einen optionalen `title`, einen `customer` (Kunde) und ein `total` (Gesamtsumme).

Der Benutzer Ihrer API (ein externer Entwickler) erstellt mit einem POST-Request eine Rechnung in Ihrer API.

Dann wird Ihre API (beispielsweise):

Podrías poner tu contenido XML en un string, ponerlo en una `Response` y devolverlo:

```Python hl_lines="1  18"
{!../../../docs_src/response_directly/tutorial002.py!}
```

## Notas

Cuando devuelves una `Response` directamente, los datos no son validados, convertidos (serializados), ni documentados automáticamente.

👉 💼, 👆 💪 💚 📄 ❔ 👈 🔢 🛠️ *🔜* 👀 💖. ⚫️❔ *➡ 🛠️* ⚫️ 🔜 ✔️, ⚫️❔ 💪 ⚫️ 🔜 ⌛, ⚫️❔ 📨 ⚫️ 🔜 📨, ♒️.

## 📱 ⏮️ ⏲

➡️ 👀 🌐 👉 ⏮️ 🖼.

🌈 👆 🛠️ 📱 👈 ✔ 🏗 🧾.

👉 🧾 🔜 ✔️ `id`, `title` (📦), `customer`, & `total`.

👩‍💻 👆 🛠️ (🔢 👩‍💻) 🔜 ✍ 🧾 👆 🛠️ ⏮️ 🏤 📨.

⤴️ 👆 🛠️ 🔜 (➡️ 🌈):

* 📨 🧾 🕴 🔢 👩‍💻.
* 📈 💸.
* 📨 📨 🔙 🛠️ 👩‍💻 (🔢 👩‍💻).

def test_get_item():
    response = client.get("/items/portal-gun")
    assert response.status_code == 200, response.text

from fastapi import Depends, FastAPI, HTTPException

app = FastAPI()


data = {
    "plumbus": {"description": "Freshly pickled plumbus", "owner": "Morty"},
    "portal-gun": {"description": "Gun to create portals", "owner": "Rick"},
}


class OwnerError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except OwnerError as e:

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Union[str, None] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

### Multiple Processes - An Example

### Versões disponíveis

Você pode ver as versões disponíveis (por exemplo, para verificar qual é a versão atual) nas [Notas de Lançamento](release-notes.md){.internal-link target=_blank}.

### Sobre as versões

Seguindo as convenções do Versionamento Semântico, qualquer versão abaixo de `1.0.0` pode potencialmente adicionar mudanças que quebrem.

from typing_extensions import Annotated

app = FastAPI()


data = {
    "plumbus": {"description": "Freshly pickled plumbus", "owner": "Morty"},
    "portal-gun": {"description": "Gun to create portals", "owner": "Rick"},
}


class OwnerError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except OwnerError as e:

                            {"title": "Title", "type": "string"}
                        ),
                        "customer": {"title": "Customer", "type": "string"},
                        "total": {"title": "Total", "type": "number"},
                    },
                },
                "InvoiceEvent": {
                    "title": "InvoiceEvent",
                    "required": ["description", "paid"],