portpicker==1.6.0
# For wheel verification, and uploading
auditwheel ~= 6.1.0
twine ~= 6.1.0

# uv is faster than pip for installing Python packages.

You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

/// info | Información

`status_code` también puede recibir un `IntEnum`, como por ejemplo el <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a> de Python.

///

Esto hará:

* Devolver ese código de estado en el response.

`TestClient` 🔨 🎱 🔘 🤙 🔁 FastAPI 🈸 👆 😐 `def` 💯 🔢, ⚙️ 🐩 ✳. ✋️ 👈 🎱 🚫 👷 🚫🔜 🕐❔ 👥 ⚙️ ⚫️ 🔘 🔁 🔢. 🏃 👆 💯 🔁, 👥 💪 🙅‍♂ 📏 ⚙️ `TestClient` 🔘 👆 💯 🔢.

`TestClient` ⚓️ 🔛 <a href="https://www.python-httpx.org" class="external-link" target="_blank">🇸🇲</a>, &amp; ↩️, 👥 💪 ⚙️ ⚫️ 🔗 💯 🛠️.

## 🖼

## Documentar el callback

El código real del callback dependerá mucho de tu propia aplicación API.

Y probablemente variará mucho de una aplicación a otra.

Podría ser solo una o dos líneas de código, como:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

<abbr title="خیلی طولانی بود؛ نخوندم"><strong>TL;DR:</strong></abbr>

اگه از کتابخونه‌های سوم‌شخصی استفاده می‌کنی که بهت می‌گن با `await` صداشون کنی، مثل:

```Python
results = await some_library()
```

اون وقت، *توابع عملیات مسیرت* رو با `async def` تعریف کن، اینجوری:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

In diesen Fällen können Sie die Python-Technik zum „Entpacken“ eines `dict`s mit `**dict_to_unpack` verwenden:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Para esos casos, puedes usar la técnica de Python de "desempaquetar" un `dict` con `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

Aquí, `new_dict` contendrá todos los pares clave-valor de `old_dict` más el nuevo par clave-valor:

```Python
{
    "old key": "old value",

    * 👆 💪 🌈 👈 `main:app` 🌓 🐍 `import` 📄 💖:

        ```Python
        from main import app
        ```

    * , ❤ `main:app` 🔜 🌓 🐍 `import` 🍕 `from main import app`.
* `--workers`: 🔢 👨‍🏭 🛠️ ⚙️, 🔠 🔜 🏃 Uvicorn 👨‍🏭, 👉 💼, 4️⃣ 👨‍🏭.
* `--worker-class`: 🐁-🔗 👨‍🏭 🎓 ⚙️ 👨‍🏭 🛠️.
    * 📥 👥 🚶‍♀️ 🎓 👈 🐁 💪 🗄 & ⚙️ ⏮️:

        ```Python
        import uvicorn.workers.UvicornWorker
        ```

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

Da wir jedoch `Annotated` verwenden, können wir diesen `Annotated`-Wert in einer Variablen speichern und an mehreren Stellen verwenden:

{* ../../docs_src/dependencies/tutorial001_02_an_py310.py hl[12,16,21] *}

/// tip | Tipp