# ➡ 🛠️ 🏧 📳

## 🗄 {

!!! warning
    🚥 👆 🚫 "🕴" 🗄, 👆 🎲 🚫 💪 👉.

👆 💪 ⚒ 🗄 `operationId` ⚙️ 👆 *➡ 🛠️* ⏮️ 🔢 `operation_id`.

👆 🔜 ✔️ ⚒ 💭 👈 ⚫️ 😍 🔠 🛠️.

```Python hl_lines="6"
{!../../../docs_src/path_operation_advanced_configuration/tutorial001.py!}
```

### ⚙️ *➡ 🛠️ 🔢* 📛 {

🚥 👆 💚 ⚙️ 👆 🔗' 🔢 📛 `operationId`Ⓜ, 👆 💪 🔁 🤭 🌐 👫 & 🔐 🔠 *➡ 🛠️* `operation_id` ⚙️ 👫 `APIRoute.name`.

# Réponses supplémentaires dans OpenAPI

!!! warning "Attention"
    Ceci concerne un sujet plutôt avancé.

    Si vous débutez avec **FastAPI**, vous n'en aurez peut-être pas besoin.

Vous pouvez déclarer des réponses supplémentaires, avec des codes HTTP, des types de médias, des descriptions, etc.

Ces réponses supplémentaires seront incluses dans le schéma OpenAPI, elles apparaîtront donc également dans la documentation de l'API.

    ```

=== "Python 3.8+ Annotated가 없는 경우"

    !!! tip "팁"
        가능하다면 `Annotated`가 달린 버전을 권장합니다.

    ```Python hl_lines="4"
    {!> ../../../docs_src/body_fields/tutorial001.py!}
    ```

!!! warning "경고"
    `Field`는 다른 것들처럼 (`Query`, `Path`, `Body` 등) `fastapi`에서가 아닌 `pydantic`에서 바로 임포트 되는 점에 주의하세요.

## 모델 어트리뷰트 선언

그 다음 모델 어트리뷰트와 함께 `Field`를 사용할 수 있습니다:

=== "Python 3.10+"

    * `app`: the object created inside of `main.py` with the line `app = FastAPI()`.

    It is equivalent to:

    ```Python
    from main import app
    ```

!!! warning
    Uvicorn and others support a `--reload` option that is useful during development.

    The `--reload` option consumes much more resources, is more unstable, etc.

Right as we wanted it. ✔️

This is because FastAPI uses this `root_path` to create the default `server` in OpenAPI with the URL provided by `root_path`.

## Additional servers

!!! warning
    This is a more advanced use case. Feel free to skip it.

By default, **FastAPI** will create a `server` in the OpenAPI schema with the URL for the `root_path`.

## Caso de uso

Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖

    The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> once it is updated to use Pydantic v2 as well.

!!! warning "Deprecated"
    This tutorial is deprecated and will be removed in a future version.

* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.

!!! warning "Предупреждение"
    Скорее всего у вас **нет необходимости** в использовании этого образа или подобного ему и лучше создать свой образ с нуля как описано тут: [Создать Docker-образ для FastAPI](#docker-fastapi).

🕐❔ `with` 🍫 🏁, ⚫️ ⚒ 💭 🔐 📁, 🚥 📤 ⚠.

🕐❔ 👆 ✍ 🔗 ⏮️ `yield`, **FastAPI** 🔜 🔘 🗜 ⚫️ 🔑 👨‍💼, & 🌀 ⚫️ ⏮️ 🎏 🔗 🧰.

### ⚙️ 🔑 👨‍💼 🔗 ⏮️ `yield`

!!! warning
    👉, 🌅 ⚖️ 🌘, "🏧" 💭.

    🚥 👆 ▶️ ⏮️ **FastAPI** 👆 💪 💚 🚶 ⚫️ 🔜.

* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.