import org.codelibs.fess.util.JobProcess;
import org.codelibs.fess.util.SystemUtil;

import jakarta.servlet.ServletContext;

/**
 * Job for executing Python scripts within the Fess search engine environment.
 * This job extends ExecJob to provide Python-specific functionality for running
 * Python scripts with proper environment setup and argument passing.
 *

import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.index.IndexAction;
import org.opensearch.action.index.IndexRequestBuilder;
import org.opensearch.action.search.SearchAction;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.TermQueryBuilder;

      labelIndex: Int,
    ): String? {
      var low = 0
      var high = size
      var match: String? = null
      while (low < high) {
        var mid = (low + high) / 2
        // Search for a '\n' that marks the start of a value. Don't go back past the start of the
        // array.
        while (mid > -1 && this[mid] != '\n'.code.toByte()) {
          mid--
        }
        mid++

        // assertEquals(0, result.size()); // Commented out due to variable scope
    }

    public void test_buildQuery_withVariousKeywords() {
        List<String> keywordList = Arrays.asList("java", "programming", "search", "");
        List<FilterFunctionBuilder> functionBuilders = new ArrayList<>();

        try {
            keyMatchHelper.buildQuery(keywordList, functionBuilders);
        } catch (Exception e) {

## Modèles d'apprentissage automatique avec spaCy et FastAPI - Fonctionnalités

* Intégration d'un modèle NER **spaCy**.
* Formatage de requête pour **Azure Cognitive Search**.
* Serveur Python web **prêt à utiliser en production** utilisant Uvicorn et Gunicorn.
* Déploiement CI/CD Kubernetes pour **Azure DevOps** (AKS).

import org.dbflute.dbmeta.accessory.DerivedTypeHandler;
import org.dbflute.jdbc.StatementConfig;
import org.dbflute.system.DBFluteSystem;
import org.dbflute.twowaysql.style.BoundDateDisplayStyle;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.common.unit.TimeValue;

/**
 * @author ESFlute (using FreeGen)
 */
public abstract class EsAbstractConditionBean implements ConditionBean {

import org.dbflute.dbmeta.accessory.DerivedTypeHandler;
import org.dbflute.jdbc.StatementConfig;
import org.dbflute.system.DBFluteSystem;
import org.dbflute.twowaysql.style.BoundDateDisplayStyle;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.common.unit.TimeValue;

/**
 * @author ESFlute (using FreeGen)
 */
public abstract class EsAbstractConditionBean implements ConditionBean {

You could then update `test_main.py` with the extended tests:

{* ../../docs_src/app_testing/app_b/test_main.py *}


Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in `httpx`, or even how to do it with `requests`, as HTTPX's design is based on Requests' design.

Then you just do the same in your tests.

E.g.:

 * Google search:
 *
 * ```java
 * HttpUrl url = new HttpUrl.Builder()
 *     .scheme("https")
 *     .host("www.google.com")
 *     .addPathSegment("search")
 *     .addQueryParameter("q", "polar bears")
 *     .build();
 * System.out.println(url);
 * ```
 *
 * which prints:
 *
 * ```
 * https://www.google.com/search?q=polar%20bears
 * ```
 *

 * for document data. This class wraps an existing map and provides custom behavior
 * for the entrySet method to ensure language fields appear first in iteration order.
 * Used throughout the Fess search system for document data manipulation.
 *
 */
public class DocMap implements Map<String, Object> {

    /** The key used for language field identification */
    private static final String LANG_KEY = "lang";