/**
     * Private constructor to prevent instantiation.
     */
    private SystemUtil() {
    }

    /**
     * Gets the HTTP address of the search engine.
     *
     * @return The search engine HTTP address.
     */
    public static String getSearchEngineHttpAddress() {
        return System.getProperty(Constants.FESS_SEARCH_ENGINE_HTTP_ADDRESS);
    }

    /**

 */
package org.codelibs.fess.opensearch.client;

import org.codelibs.fess.exception.FessSystemException;

/**
 * Exception thrown when search engine client operations fail.
 * This exception wraps underlying search engine errors and provides
 * meaningful error messages for troubleshooting.
 */
public class SearchEngineClientException extends FessSystemException {

smart.deploy.mode.location = fess_env.properties: lasta_di.smart.deploy.mode

# package for smart deploy target e.g. org.docksidestage.app
smart.package1 = org.codelibs.fess.app

# script engine

### Create an Engine { #create-an-engine }

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.

            "CCR",
            "CRUD",
            "Client",
            "Cluster Coordination",
            "Discovery-Plugins",
            "Distributed",
            "EQL",
            "Engine",
            "FIPS",
            "Features/CAT APIs",
            "Features/Data streams",
            "Features/Features",
            "Features/ILM+SLM",
            "Features/Indices APIs",

    /** The expression used to match documents for boosting */
    private String matchExpression;

    /** The script engine type used for expression evaluation */
    private final String scriptType;

    /**
     * Default constructor that creates a DocBoostMatcher with default script type.
     * Uses the default script engine as defined in Constants.DEFAULT_SCRIPT.
     */
    public DocBoostMatcher() {

    // Search Engine Type Constants
    // ============================================================

    /** Cloud-based search engine type. */
    public static final String FESEN_TYPE_CLOUD = "cloud";

    /** AWS-based search engine type. */
    public static final String FESEN_TYPE_AWS = "aws";

    /** Search engine username configuration key. */

     * The template is evaluated using the specified script engine with the value and context.
     *
     * @param dataMap the data map to modify
     * @param key the key to store the processed value under
     * @param value the original value to process
     * @param template the template script to evaluate
     * @param scriptType the type of script engine to use
     */

    public void close() {
        scriptCache.invalidateAll();
        scriptCache.cleanUp();
    }

    /**
     * Returns the name identifier for this script engine.
     *
     * @return "groovy" - the identifier used to register and retrieve this engine
     */
    @Override
    protected String getName() {
        return "groovy";
    }

    /**

    SQLModel 会知道声明为 `str` 的内容将是类型为 `TEXT`（或 `VARCHAR`，具体取决于数据库）的 SQL 列。

### 创建引擎（Engine） { #create-an-engine }

SQLModel 的 `engine`（实际上它是一个 SQLAlchemy 的 `engine`）是用来与数据库**保持连接**的。

你只需构建**一个 `engine` 对象**，让你的所有代码连接到同一个数据库。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *}