import org.codelibs.fess.opensearch.user.exentity.User;

/**
 * Authentication chain implementation that executes external commands for user operations.
 * Provides user management through command-line tool execution for password changes and user deletion.
 */
public class CommandChain implements AuthenticationChain {

    private static final Logger logger = LogManager.getLogger(CommandChain.class);

    /** Working directory for command execution. */

我们正在使用此模型声明输入数据，并使用同一模型声明输出数据：

{* ../../docs_src/response_model/tutorial002.py hl[17:18] *}

现在，每当浏览器使用一个密码创建用户时，API 都会在响应中返回相同的密码。

在这个案例中，这可能不算是问题，因为用户自己正在发送密码。

但是，如果我们在其他的*路径操作*中使用相同的模型，则可能会将用户的密码发送给每个客户端。

/// danger

永远不要存储用户的明文密码，也不要在响应中发送密码。

///

## 添加输出模型

相反，我们可以创建一个有明文密码的输入模型和一个没有明文密码的输出模型：

{* ../../docs_src/response_model/tutorial003_py310.py hl[9,11,16] *}

这样，即便我们的*路径操作函数*将会返回包含密码的相同输入用户：

export MINIO_ROOT_PASSWORD=<SECRET_KEY>
minio server http://host{1...n}/export{1...m}
```

> **NOTE:** In above example `n` and `m` represent positive integers, _do not copy paste and expect it work make the changes according to local deployment and setup_.

// This should be always:
String value = getSomeProperty().get()
```

## Status

ACCEPTED

## Consequences

* We are incurring debt that will need to be paid later via deprecations or breaking changes to existing classes. The implementation for some Gradle types will be more complicated than an equivalent clean-sheet implementation.

    en_path: Annotated[Path, typer.Option(envvar="EN_PATH")],
) -> None:
    assert language != "en", (
        "`en` is the source language, choose another language as translation target"
    )
    langs = get_langs()
    language_name = langs[language]
    lang_path = Path(f"docs/{language}")
    lang_path.mkdir(exist_ok=True)
    lang_prompt_path = lang_path / "llm-prompt.md"

								<li class="nav-item" data-bs-toggle="tooltip" data-placement="left" title="<la:message key="labels.eol_error" />">
									<a class="nav-link active" href="${eolLink}" target="_olh"><i class="fas fa-times-circle text-danger" aria-hidden="true"></i></a>
								</li>
							</c:if>
							<c:if test="${developmentMode}">
								<li class="nav-item" data-bs-toggle="tooltip" data-placement="left"

     * duplication of properties (multiple name/value pairs with the same name can be added).
     */
    @Override
    public String toString() {
      // create a copy to keep it consistent in case value changes
      boolean omitNullValuesSnapshot = omitNullValues;
      boolean omitEmptyValuesSnapshot = omitEmptyValues;
      String nextSeparator = "";

Wir bauen auf dem vorherigen Kapitel auf.

## Über JWT { #about-jwt }

JWT bedeutet „JSON Web Tokens“.

Es ist ein Standard, um ein JSON-Objekt in einem langen, kompakten String ohne Leerzeichen zu kodieren. Das sieht so aus:

```
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c

 <span style="background-color:#C4A000"><font color="#2E3436">╰─────────────────────────────────────────────────────╯</font></span>

<font color="#4E9A06">INFO</font>:     Will watch for changes in these directories: [&apos;/home/user/code/awesomeapp&apos;]
<font color="#4E9A06">INFO</font>:     Uvicorn running on <b>http://127.0.0.1:8000</b> (Press CTRL+C to quit)

#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/eager/c_api.h"

// --------------------------------------------------------------------------
// Experimental C API for TensorFlow.
//
// The API here is subject to changes in the future.
// --------------------------------------------------------------------------

#ifdef __cplusplus
extern "C" {
#endif

// When `enable` is true, set