import jakarta.annotation.Resource;

/**
 * API action for admin elevate word management.
 * Provides RESTful API endpoints for managing elevate word settings in the Fess search engine.
 * Elevate words boost specific search terms to appear higher in search results.
 */
public class ApiAdminElevatewordAction extends FessApiAdminAction {

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.util.ComponentUtil;

import jakarta.annotation.PostConstruct;

/**
 * Configuration class for query field mappings in the Fess search engine.
 * This class manages field configurations for various query operations including
 * response fields, search fields, facet fields, sort fields, and highlighting.

## 문제/질문

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## 시작하기

Fess를 사용해보는 방법은 두 가지가 있습니다. 첫 번째는 직접 다운로드하여 설치하는 방법이며, 두 번째는 [Docker](https://www.docker.com/products/docker-engine)를 사용하는 방법입니다.

### 다운로드 및 설치/실행

Fess 15.3이 현재 사용 가능하며, [릴리스 페이지](https://github.com/codelibs/fess/releases "download")에서 다운로드할 수 있습니다. 다운로드는 deb, rpm, zip의 세 가지 형식으로 제공됩니다.

다음 명령은 zip 다운로드 사용 방법을 보여줍니다:

    protected long searchStoreInterval = 1; // min

    /**
     * Initializes the SuggestHelper.
     * This method sets up the suggester, configures field names, and initializes
     * the connection to the search engine.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initializing {}", this.getClass().getSimpleName());
        }

[fess.codelibs.org](https://fess.codelibs.org/)

## 問題や質問

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## はじめに

Fessを試す方法は2つあります。1つは自分でダウンロードしてインストールする方法、もう1つは[Docker](https://www.docker.com/products/docker-engine)を使用する方法です。

### ダウンロードおよびインストール/実行

Fess 15.3が利用可能で、[リリースページ](https://github.com/codelibs/fess/releases "download")からダウンロードできます。ダウンロードには、deb、rpm、zipの3つの形式があります。

以下のコマンドは、zipファイルを使用する例です：

  string name_;
};

static TracingContext* GraphTracingFactory(const char* name, TF_Status* s) {
  return new GraphContext(name);
}

// Register the tracing implemented in this file as the default tracing engine.
static bool register_tracing = [] {
  RegisterTracingEngineFactory("graphdef", GraphTracingFactory);
  SetDefaultTracingEngine("graphdef").IgnoreError();
  return true;
}();

}  // namespace graph

│   └── service/             # Core services
├── fess-crawler-lasta/       # LastaFlute DI integration
└── fess-crawler-opensearch/  # OpenSearch backend
```

### Key Components

#### Core Engine
- **Crawler**: Main orchestrator managing crawl execution
- **CrawlerContext**: Execution context and configuration
- **CrawlerThread**: Individual crawler thread implementation

#### Client Architecture

    @Resource
    protected LabelTypeBhv labelTypeBhv;

    /** Configuration settings for Fess application */
    @Resource
    protected FessConfig fessConfig;

    /** Client for interacting with the search engine */
    @Resource
    protected SearchEngineClient searchEngineClient;

    /**
     * Retrieves a paginated list of elevate words based on the provided pager criteria.
     *

namespace tensorflow {
namespace {

// The tests are parameterized on:
// - a string representing the tracing implementation: "mlir" or "graphdef".
// - a boolean that when true enables TFRT as the execution engine.
class UnifiedCAPI
    : public ::testing::TestWithParam<std::tuple<const char*, bool>> {
 protected:
  void SetUp() override {
    TF_StatusPtr status(TF_NewStatus());

    // ===================================================================================
    // Attribute
    // =========

    /** Client for interacting with the search engine. */
    @Resource
    protected SearchEngineClient searchEngineClient;

    /** Helper for building and parsing search queries. */
    @Resource
    protected QueryHelper queryHelper;