///

## Integrated with OpenAPI { #integrated-with-openapi }

All the request declarations, validations and requirements of your dependencies (and sub-dependencies) will be integrated in the same OpenAPI schema.

So, the interactive docs will have all the information from these dependencies too:

app.add_middleware(UnicornMiddleware, some_config="rainbow")
```

`app.add_middleware()` receives a middleware class as the first argument and any additional arguments to be passed to the middleware.

## Integrated middlewares { #integrated-middlewares }

**FastAPI** includes several middlewares for common use cases, we'll see next how to use them.

/// note | Technical Details

But you still need to define what is the dependable, the callable that you pass as a parameter to `Depends()` or `Security()`.

There are multiple tools that you can use to create those dependables, and they get integrated into OpenAPI so they are shown in the automatic docs UI, they can be used by automatically generated clients and SDKs, etc.

You can import them from `fastapi.security`:

```python
from fastapi.security import (

↩️ 👆 🏃 Uvicorn 💽 🔗 ⚪️➡️ 👆 📟, 👆 💪 🤙 👆 🐍 📋 (👆 FastAPI 🈸) 🔗 ⚪️➡️ 🕹.

---

🖼, 🎙 🎙 📟, 👆 💪:

* 🚶 "ℹ" 🎛.
* "🚮 📳...".
* 🖊 "🐍"
* 🏃 🕹 ⏮️ 🎛 "`Python: Current File (Integrated Terminal)`".

⚫️ 🔜 ⤴️ ▶️ 💽 ⏮️ 👆 **FastAPI** 📟, ⛔️ 👆 0️⃣, ♒️.

📥 ❔ ⚫️ 💪 👀:

<img src="/img/tutorial/debugging/image01.png">

---

🚥 👆 ⚙️ 🗒, 👆 💪:

* 📂 "🏃" 🍣.

---

Por exemplo, no Visual Studio Code, você pode:

* Ir para o painel "Debug".
* "Add configuration...".
* Selecionar "Python"
* Executar o depurador com a opção "`Python: Current File (Integrated Terminal)`".

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

<img src="/img/tutorial/debugging/image01.png">

---

- Cliquer sur l'onglet "Debug" de la barre d'activités de Visual Studio Code.
- "Add configuration...".
- Sélectionnez "Python".
- Lancez le <abbr title="En anglais: debugger">débogueur</abbr> avec l'option "`Python: Current File (Integrated Terminal)`".

Il démarrera alors le serveur avec votre code **FastAPI**, s'arrêtera à vos points d'arrêt, etc.

Voici à quoi cela pourrait ressembler :

<img src="/img/tutorial/debugging/image01.png">

---

---

Наприклад, у Visual Studio Code Ви можете:

* Перейдіть на вкладку "Debug".
* Натисніть "Add configuration...".
* Виберіть "Python"
* Запустіть дебагер з опцією "`Python: Current File (Integrated Terminal)`".

Це запустить сервер з Вашим **FastAPI** кодом, зупиниться на точках зупину тощо.

Ось як це може виглядати:

<img src="/img/tutorial/debugging/image01.png">

---

---

Por ejemplo, en Visual Studio Code, puedes:

* Ir al panel de "Debug".
* "Add configuration...".
* Seleccionar "Python".
* Ejecutar el depurador con la opción "`Python: Current File (Integrated Terminal)`".

Luego, iniciará el servidor con tu código **FastAPI**, deteniéndose en tus puntos de interrupción, etc.

Así es como podría verse:

<img src="/img/tutorial/debugging/image01.png">

---

---

Например, в Visual Studio Code вы можете выполнить следующие шаги:

* Перейдите на панель "Debug".
* Выберите "Add configuration...".
* Выберите "Python"
* Запустите отладчик "`Python: Current File (Integrated Terminal)`".

Это запустит сервер с вашим **FastAPI** кодом, остановится на точках останова, и т.д.

Вот как это может выглядеть:

<img src="/img/tutorial/debugging/image01.png">

---

And you could do this even if the data type in the request is not JSON.

For example, in this application we don't use FastAPI's integrated functionality to extract the JSON Schema from Pydantic models nor the automatic validation for JSON. In fact, we are declaring the request content type as YAML, not JSON:

//// tab | Pydantic v2