# Поддержка редактора кода { #editor-support }

Официальное [расширение FastAPI](https://marketplace.visualstudio.com/items?itemName=FastAPILabs.fastapi-vscode) улучшает ваш процесс разработки на FastAPI за счет обнаружения и навигации по *операциям пути* (обработчикам пути), а также развертывания в FastAPI Cloud и потоковой передачи логов в реальном времени.

Подробности о расширении смотрите в README в [репозитории GitHub](https://github.com/fastapi/fastapi-vscode).

# 编辑器支持 { #editor-support }

官方的 [FastAPI 扩展](https://marketplace.visualstudio.com/items?itemName=FastAPILabs.fastapi-vscode)为你的 FastAPI 开发流程带来增强，包括*路径操作*的发现与导航、部署到 FastAPI Cloud，以及实时日志流式传输。

有关该扩展的更多详情，请参阅其 [GitHub 仓库](https://github.com/fastapi/fastapi-vscode)中的 README。

## 安装与配置 { #setup-and-installation }

# 編輯器支援 { #editor-support }

官方的 [FastAPI 擴充套件](https://marketplace.visualstudio.com/items?itemName=FastAPILabs.fastapi-vscode) 透過支援路徑操作（path operation）探索、導覽，以及 FastAPI Cloud 部署與即時日誌串流，強化你的 FastAPI 開發流程。

想了解更多關於此擴充套件的細節，請參考其 [GitHub 儲存庫](https://github.com/fastapi/fastapi-vscode) 中的 README。

## 安裝與設定 { #setup-and-installation }

# 에디터 지원 { #editor-support }

공식 [FastAPI 확장](https://marketplace.visualstudio.com/items?itemName=FastAPILabs.fastapi-vscode)은 FastAPI 개발 워크플로우를 강화해 줍니다. *경로 처리* 탐색 및 이동, FastAPI Cloud 배포, 실시간 로그 스트리밍을 제공합니다.

확장에 대한 자세한 내용은 [GitHub 저장소](https://github.com/fastapi/fastapi-vscode)의 README를 참고하세요.

## 설치 및 설정 { #setup-and-installation }

{* ../../docs_src/body_nested_models/tutorial008_py310.py hl[13] *}

## Her yerde editör desteği { #editor-support-everywhere }

Ve her yerde editör desteği alırsınız.

List içindeki öğeler için bile:

<img src="/img/tutorial/body-nested-models/image01.png">

Pydantic modelleri yerine doğrudan `dict` ile çalışsaydınız bu tür bir editör desteğini alamazdınız.

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

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

/// tip

If you have strict type checks in your editor, mypy, etc, you can declare the function return type as `Any`.

That way you tell the editor that you are intentionally returning anything. But FastAPI will still do the data documentation, validation, filtering, etc. with the `response_model`.

///

    * request'lerde ve response'larda `str` olarak temsil edilir.
* `datetime.datetime`:
    * Python `datetime.datetime`.
    * request'lerde ve response'larda ISO 8601 formatında bir `str` olarak temsil edilir, örn: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python `datetime.date`.
    * request'lerde ve response'larda ISO 8601 formatında bir `str` olarak temsil edilir, örn: `2008-09-15`.
* `datetime.time`:

By doing that, your editor can provide support even while processing items from the list:

<img src="/img/python-types/image05.png">

Without types, that's almost impossible to achieve.

Notice that the variable `item` is one of the elements in the list `items`.

And still, the editor knows it is a `str`, and provides support for that.

  fun cannotOperateOnEditAfterPublish() {
    val editor = cache.edit("k1")!!
    editor.setString(0, "A")
    editor.setString(1, "B")
    editor.commit()
    editor.assertInoperable()
  }

  @Test
  fun cannotOperateOnEditAfterRevert() {
    val editor = cache.edit("k1")!!
    editor.setString(0, "A")
    editor.setString(1, "B")
    editor.abort()
    editor.assertInoperable()
  }

  @Test