## Traefik으로 로컬 테스트하기 { #testing-locally-with-traefik }

[Traefik](https://docs.traefik.io/)을 사용하면, 경로 접두사가 제거되는 구성을 로컬에서 쉽게 실험할 수 있습니다.

[Traefik 다운로드](https://github.com/containous/traefik/releases)는 단일 바이너리이며, 압축 파일을 풀고 터미널에서 바로 실행할 수 있습니다.

그 다음 다음 내용을 가진 `traefik.toml` 파일을 생성하세요:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]

When a plugin has a complete and valid configuration, the plugin would be looked up in the Plexus container and be ready to perform any operations requested of it.

h3. Execution of the plugin

    reading the next byte from a connection, or writing the next byte to a
    connection takes more than 10 seconds to complete, you’ll need to adjust
    the timeouts manually.

 *  **OkHttp now rejects request headers that contain invalid characters.** This
    includes potential security problems (newline characters) as well as simple
    non-ASCII characters (including international characters and emoji).

- Visit <http://localhost:8080>, login will direct the user to the Google OAuth2 Auth URL to obtain a permission grant.
- The redirection URI (callback handler) receives the OAuth2 callback, verifies the state parameter, and obtains a Token.
- Using the id_token the callback handler further talks to Google OAuth2 Token URL to obtain an JWT id_token.
- Once obtained the JWT id_token is further sent to STS endpoint i.e MinIO to retrieve temporary credentials.

Puedes ejecutar fácilmente el experimento localmente con un prefijo de path eliminado usando [Traefik](https://docs.traefik.io/).

[Descarga Traefik](https://github.com/containous/traefik/releases), es un archivo binario único, puedes extraer el archivo comprimido y ejecutarlo directamente desde la terminal.

Luego crea un archivo `traefik.toml` con:

```TOML hl_lines="3"
[entryPoints]

    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10

Sie können das Experiment mit einem abgetrennten Pfadpräfix einfach lokal ausführen, indem Sie [Traefik](https://docs.traefik.io/) verwenden.

[Laden Sie Traefik herunter](https://github.com/containous/traefik/releases), es ist eine einzelne Binärdatei, Sie können die komprimierte Datei extrahieren und sie direkt vom Terminal aus ausführen.

Dann erstellen Sie eine Datei `traefik.toml` mit:

```TOML hl_lines="3"

/// tip | Astuce

/// note | Remarque

Gardez à l’esprit que différents outils peuvent avoir des niveaux de prise en charge d’OpenAPI différents.

Certains d’entre eux pourraient ne pas encore afficher toutes les informations supplémentaires déclarées, bien que, dans la plupart des cas, la fonctionnalité manquante soit déjà prévue au développement.

///

## 在本機使用 Traefik 測試 { #testing-locally-with-traefik }

你可以很容易地用 [Traefik](https://docs.traefik.io/) 在本機跑一個「移除路徑前綴」的測試。

[下載 Traefik](https://github.com/containous/traefik/releases)，它是一個單一的執行檔，你可以解壓縮後直接在終端機執行。

然後建立一個 `traefik.toml` 檔案，內容如下：

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]