}


val testRuntimeOnly = configurations.maybeCreate("testRuntimeOnly")
dependencies {
  testRuntimeOnly(library("junit-jupiter-engine"))
  testRuntimeOnly(library("junit-vintage-engine"))
  testRuntimeOnly(library("junit-platform-launcher"))
}

tasks.withType<Test> {
  useJUnitPlatform()
  jvmArgs("-Dokhttp.platform=$platform")

  if (platform == "loom") {

        final StringWriter writer = new StringWriter();

        try {
            final SimpleTemplateEngine engine = new SimpleTemplateEngine();
            engine.createTemplate(template).make(bindings).writeTo(writer);
        } catch (ClassNotFoundException e) {
            throw new RuntimeException(e);
        }

 */
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 {

        testScriptEngine.register();

        // Verify that the engine was registered with the factory
        ScriptEngine retrievedEngine = scriptEngineFactory.getScriptEngine("testEngine");
        assertNotNull(retrievedEngine);
        assertEquals(testScriptEngine, retrievedEngine);

        // Verify that the engine was also registered with its class name

  testImplementation(libs.square.okio.fakefilesystem)
  testImplementation(projects.okhttpTestingSupport)
  testImplementation(libs.conscrypt.openjdk)
  testImplementation(libs.junit.jupiter.engine)
  testImplementation(libs.junit.vintage.engine)

  androidTestImplementation(projects.okhttpTestingSupport) {
    exclude("org.openjsse", "openjsse")
    exclude("org.conscrypt", "conscrypt-openjdk-uber")

### Criar um Engine { #create-an-engine }
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

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

Bir SQLModel `engine`’i (altta aslında bir SQLAlchemy `engine`’idir) veritabanına olan **bağlantıları tutan** yapıdır.

Tüm kodunuzun aynı veritabanına bağlanması için **tek bir `engine` nesnesi** kullanırsınız.

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

    SQLModel знатиме, що оголошене як `str` стане SQL-стовпцем типу `TEXT` (або `VARCHAR`, залежно від бази).

### Створіть рушій { #create-an-engine }

`engine` SQLModel (під капотом це `engine` SQLAlchemy) - це те, що **утримує з’єднання** з базою даних.

У вас має бути **єдиний об’єкт `engine`** для всього коду, що під’єднується до тієї самої бази.

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

    /**
     * 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);
    }

    /**

        implementation(libs.assertk)
        implementation(libs.conscrypt.openjdk)
        implementation(libs.junit.jupiter.api)
        implementation(libs.junit.jupiter.engine)
        implementation(libs.junit.jupiter.params)
        implementation(libs.junit.vintage.engine)
        implementation(libs.junit)
        implementation(libs.kotlin.test.annotations)
        implementation(libs.kotlin.test.common)