# Depuración { #debugging }

Puedes conectar el depurador en tu editor, por ejemplo con Visual Studio Code o PyCharm.

## Llama a `uvicorn` { #call-uvicorn }

En tu aplicación de FastAPI, importa y ejecuta `uvicorn` directamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Acerca de `__name__ == "__main__"` { #about-name-main }

    }

  private fun loomThreadFactory(): ThreadFactory {
    val ofVirtual = Thread::class.java.getMethod("ofVirtual").invoke(null)

    return Class
      .forName("java.lang.Thread\$Builder")
      .getMethod("factory")
      .invoke(ofVirtual) as ThreadFactory
  }

  private fun isLoom(): Boolean = getPlatformSystemProperty() == LOOM_PROPERTY

# Depuração { #debugging }

Você pode conectar o depurador no seu editor, por exemplo, com o Visual Studio Code ou PyCharm.

## Chamar `uvicorn` { #call-uvicorn }

Em sua aplicação FastAPI, importe e execute `uvicorn` diretamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Sobre `__name__ == "__main__"` { #about-name-main }

# 디버깅

예를 들면 Visual Studio Code 또는 PyCharm을 사용하여 편집기에서 디버거를 연결할 수 있습니다.

## `uvicorn` 호출

FastAPI 애플리케이션에서 `uvicorn`을 직접 임포트하여 실행합니다

{* ../../docs_src/debugging/tutorial001.py hl[1,15] *}

### `__name__ == "__main__"` 에 대하여

`__name__ == "__main__"`의 주요 목적은 다음과 같이 파일이 호출될 때 실행되는 일부 코드를 갖는 것입니다.

<div class="termy">

```console
$ python myapp.py
```

</div>

그러나 다음과 같이 다른 파일을 가져올 때는 호출되지 않습니다.

```Python

# Debugging { #debugging }

Sie können den Debugger in Ihrem Editor verbinden, zum Beispiel mit Visual Studio Code oder PyCharm.

## `uvicorn` aufrufen { #call-uvicorn }

Importieren und führen Sie `uvicorn` direkt in Ihrer FastAPI-Anwendung aus:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Über `__name__ == "__main__"` { #about-name-main }

labels.max_access_count=Maximaal aantal toegangspogingen
labels.number_of_thread=Aantal threads
labels.interval_time=Interval
labels.millisec=milliseconden
labels.permissions=Machtigingen
labels.virtual_hosts=Virtuele hosts
labels.virtual_host=Virtuele host
labels.label_type=Label
labels.file_crawling_button_create=Maken
labels.file_crawling_button_create_job=Nieuwe taak maken
labels.web_crawling_configuration=Webcrawlen

* Fix a bug in server printer that could cause kube-apiserver to panic. ([#79349](https://github.com/kubernetes/kubernetes/pull/79349), [@roycaihw](https://github.com/roycaihw))
* Fix a bug in the IPVS proxier where virtual servers are not cleaned up even though the corresponding Service object was deleted. ([#80942](https://github.com/kubernetes/kubernetes/pull/80942), [@gongguan](https://github.com/gongguan))

# v1.14.6

# Debugging { #debugging }

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn` { #call-uvicorn }

In your FastAPI application, import and run `uvicorn` directly:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### About `__name__ == "__main__"` { #about-name-main }

# 调试

你可以在编辑器中连接调试器，例如使用 Visual Studio Code 或 PyCharm。

## 调用 `uvicorn`

在你的 FastAPI 应用中直接导入 `uvicorn` 并运行：

{* ../../docs_src/debugging/tutorial001.py hl[1,15] *}

### 关于 `__name__ == "__main__"`

`__name__ == "__main__"` 的主要目的是使用以下代码调用文件时执行一些代码：

<div class="termy">

```console
$ python myapp.py
```

</div>

而当其它文件导入它时并不会被调用，像这样：

```Python
from myapp import app
```

#### 更多细节

# Deploy FastAPI on Cloud Providers { #deploy-fastapi-on-cloud-providers }

You can use virtually **any cloud provider** to deploy your FastAPI application.

In most of the cases, the main cloud providers have guides to deploy FastAPI with them.

## FastAPI Cloud { #fastapi-cloud }

**<a href="https://fastapicloud.com" class="external-link" target="_blank">FastAPI Cloud</a>** is built by the same author and team behind **FastAPI**.