* [fess_message_en.properties](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_message_en.properties)

 * artifact publishing by reducing the artifacts and packaging reports that consist of multiple files.
 *
 * Reducing the number of reports also makes it easier to find the important ones when analysing a failed build in
 * TeamCity.
 */
val testFilesCleanup = project.extensions.create<TestFileCleanUpExtension>("testFilesCleanup").apply {
    reportOnly.convention(false)
}

     */
    public String hash;

    /**
     * Query identifier associated with the search that led to this document access.
     * This is required for tracking and analytics purposes.
     */
    @Required
    public String queryId;

    /**
     * Order or ranking position of the document in search results.
     * This optional field helps track which result position was clicked.

= Elasticsearch

Elasticsearch is the distributed, RESTful search and analytics engine at the
heart of the https://www.elastic.co/products[Elastic Stack]. You can use
Elasticsearch to store, search, and manage data for:

* Logs
* Metrics
* A search backend
* Application monitoring
* Endpoint security

\... and more!

To learn more about Elasticsearch's features and capabilities, see our

 * a goal-based architecture with pluggable upgrade strategies.</p>
 *
 * <h2>Architecture Overview</h2>
 *
 * <h3>Goals</h3>
 * <ul>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.Check} - Analyzes projects and reports needed upgrades</li>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.Apply} - Applies upgrades to project files</li>

Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools
- Built for AI & Analytics – Optimized for large-scale data pipelines
- High Performance – Ideal for demanding storage workloads.

 * This class handles user identification through cookies, session management, and query tracking.
 * It provides functionality for generating unique user codes, managing user sessions,
 * and tracking search result document IDs for analytics and personalization.
 *
 */
public class UserInfoHelper {

    /**
     * Default constructor for UserInfoHelper.
     */
    public UserInfoHelper() {
        // Default constructor
    }

### Examples

Use American English spelling, for example:

* `color` (not `colour`)
* `initialize` (not `initialise`)
* `behavior` (not `behaviour`)
* `analyze` (not `analyse`)
* `organization` (not `organisation`)
* `center` (not `centre`)
* `canceled` (not `cancelled`)
* `labeled` (not `labelled`)

### Rationale for American English

import jakarta.annotation.Resource;

/**
 * Service class for managing search logs and related analytics.
 *
 * This service provides functionality for querying, aggregating, and managing
 * various types of search logs including search logs, click logs, favorite logs,
 * and user information logs. It supports different aggregation types for
 * analytics and reporting purposes.
 */
public class SearchLogService {

	app.Name = name
	app.Author = "MinIO, Inc."
	app.Version = ReleaseTag
	app.Usage = "High Performance Object Storage"
	app.Description = `Build high performance data infrastructure for machine learning, analytics and application data workloads with MinIO`
	app.Flags = GlobalFlags
	app.HideHelpCommand = true // Hide `help, h` command, we already have `minio --help`.
	app.Commands = commands