### Docker

We provide Docker images on [ghcr.io](https://github.com/orgs/codelibs/packages). We also provide a Docker Compose (YAML) file in [this repository](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Browser UI

- Search UI: http://localhost:8080/

![Search UI](https://fess.codelibs.org/_images/fess_search_result1.png)

* kubectl rolling-update support for same image ([#24645](https://github.com/kubernetes/kubernetes/pull/24645), [@jlowdermilk](https://github.com/jlowdermilk))
* Add an entry to the salt config to allow Debian jessie on GCE. ([#25123](https://github.com/kubernetes/kubernetes/pull/25123), [@jlewi](https://github.com/jlewi))
    * As with the existing Wheezy image on GCE, docker is expected to already be installed in the image.

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

也會用於每個需要它們的*路徑操作*內的 API 文件：

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

## 編輯器支援 { #editor-support }

在編輯器裡、於你的函式中，你會在各處獲得型別提示與自動完成（如果你接收的是 `dict` 而不是 Pydantic 模型，就不會有這些）：

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

你也會獲得對不正確型別操作的錯誤檢查：

<img src="/img/tutorial/body/image04.png">

這不是偶然，整個框架就是圍繞這個設計而建。

```

</div>

## Перевірте { #check-it }

Перейдіть до інтерактивної документації: [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs).

Ви побачите щось подібне:

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

/// check | Кнопка Authorize!

У вас уже є нова блискуча кнопка «Authorize».

А ваша *операція шляху* має маленький замок у правому верхньому куті, на який можна натиснути.

///

Tarayıcınızı [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs) adresinde açtığınızda, aşağıdaki gibi otomatik ve interaktif bir API dokümantasyonu görürsünüz:

<img src="/img/tutorial/path-params/image01.png">

/// check | Ek bilgi

Yine, sadece aynı Python tip tanımıyla **FastAPI** size otomatik ve interaktif dokümantasyon (Swagger UI entegrasyonuyla) sağlar.

Dikkat edin: path parametresi integer olarak tanımlanmıştır.

For example, you can add an additional media type of `image/png`, declaring that your *path operation* can return a JSON object (with media type `application/json`) or a PNG image:

{* ../../docs_src/additional_responses/tutorial002_py310.py hl[17:22,26] *}

/// note

Notice that you have to return the image using a `FileResponse` directly.

///

/// info

* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.
* It has a [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) `async` interface.

### Content Formats

#### Office Documents
- Microsoft Office (Word, Excel, PowerPoint)
- OpenOffice/LibreOffice documents
- RTF, WordPerfect

#### PDFs and Images
- PDF documents (text and metadata extraction)
- Images (JPEG, PNG, GIF, TIFF, BMP)
- Image metadata (EXIF, IPTC, XMP)

#### Archives and Compressed Files
- ZIP, TAR, GZ archives
- LHA compression format
- Nested archive extraction

## Документація { #documentation }

А коли ви відкриєте у браузері [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs), ви побачите автоматичну, інтерактивну, API-документацію на кшталт:

<img src="/img/tutorial/path-params/image01.png">

/// check | Перевірте

Знову ж таки, лише з тим самим оголошенням типу в Python **FastAPI** надає вам автоматичну, інтерактивну документацію (з інтеграцією Swagger UI).

### Docker

Wir bieten Docker-Images auf [ghcr.io](https://github.com/orgs/codelibs/packages) an. Wir stellen auch eine Docker Compose (YAML)-Datei in [diesem Repository](https://github.com/codelibs/docker-fess/tree/master/compose) bereit.

### Browser-Benutzeroberfläche

- Suchoberfläche: http://localhost:8080/

![Suchoberfläche](https://fess.codelibs.org/_images/fess_search_result1.png)