///

## 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:

---

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">

---

↩️ 👆 🏃 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">

---

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

---

예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.
* "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.

그런 다음 **FastAPI** 코드로 서버를 시작하고 중단점 등에서 중지합니다.

다음과 같이 표시됩니다.

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

---

Pycharm을 사용하는 경우 다음을 수행할 수 있습니다

---

For example, in Visual Studio Code, you can:

* Go to the "Debug" panel.
* "Add configuration...".
* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

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

---

///

/// info

In this example we use invented custom headers `X-Key` and `X-Token`.

But in real cases, when implementing security, you would get more benefits from using the integrated [Security utilities (the next chapter)](../security/index.md){.internal-link target=_blank}.

///

## Dependencies errors and return values

You can use the same dependency *functions* you use normally.

    * URL.
    * Email.
    * UUID.
    * ...and others.

All the validation is handled by the well-established and robust **Pydantic**.

### Security and authentication

Security and authentication integrated. Without any compromise with databases or data models.

All the security schemes defined in OpenAPI, including:

* HTTP Basic.