# Debugging

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

## Call `uvicorn`

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

```Python hl_lines="1  15"
{!../../../docs_src/debugging/tutorial001.py!}
```

### About `__name__ == "__main__"`

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

# 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：

```Python hl_lines="1  15"
{!../../../docs_src/debugging/tutorial001.py!}
```

### 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

Для поддержки этого даже были внесены некоторые изменения в сам Pydantic.

На всех предыдущих скриншотах используется <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Но у вас будет такая же поддержка и с <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>, и вообще с любым редактором Python:

* Atom Hydrogen veya Visual Studio Code Jupyter gibi uzantılarla uzaktan veya Docker içi geliştirme için **Jupyter Çekirdekleri** ile kolay Python entegrasyonu.
* **Vue** ile frontend:
    * Vue CLI ile oluşturulmuş.
    * Dahili **JWT kimlik doğrulama**.

    link: https://www.evidentlyai.com/blog/fastapi-tutorial
    title: ML serving and monitoring with FastAPI and Evidently
  - author: Visual Studio Code Team
    author_link: https://code.visualstudio.com/
    link: https://code.visualstudio.com/docs/python/tutorial-fastapi
    title: FastAPI Tutorial in Visual Studio Code
  - author: Apitally
    author_link: https://apitally.io

Houveram mudanças no próprio Pydantic para que isso fosse possível.

As capturas de tela anteriores foram capturas no <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Mas você terá o mesmo suporte do editor no <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> e na maioria dos editores Python:

* Простая интеграция Python с **Jupyter Kernels** для разработки удалённо или в Docker с расширениями похожими на Atom Hydrogen или Visual Studio Code Jupyter.
* Фронтенд построен на фреймворке **Vue**:
    * Сгенерирован с помощью Vue CLI.
    * Поддерживает **аутентификацию с помощью JWT-токенов**.
    * Страница логина.

Es gab sogar ein paar Änderungen an Pydantic selbst, um das zu unterstützen.

Die vorherigen Screenshots zeigten <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

Aber Sie bekommen die gleiche Editor-Unterstützung in <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> und in den meisten anderen Python-Editoren:

There were even some changes to Pydantic itself to support this.

The previous screenshots were taken with <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

But you would get the same editor support with <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> and most of the other Python editors:

这并非偶然，整个 **FastAPI** 框架都是围绕这种思路精心设计的。

并且，在 FastAPI 的设计阶段，我们就已经进行了全面测试，以确保 FastAPI 可以获得所有编辑器的支持。

我们还改进了 Pydantic，让它也支持这些功能。

虽然上面的截图取自 <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>。

但 <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> 和大多数 Python 编辑器也支持同样的功能：

<img src="/img/tutorial/body/image05.png">

!!! tip "提示"