## 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).

                extractFile(ent.getKey(), embeddedFile, writer);
            }
        }
    }

    protected PDEmbeddedFile getEmbeddedFile(final PDComplexFileSpecification fileSpec) {
        // search for the first available alternative of the embedded file
        PDEmbeddedFile embeddedFile = null;
        if (fileSpec != null) {
            embeddedFile = fileSpec.getEmbeddedFileUnicode();

import org.codelibs.fess.util.DocList;
import org.codelibs.fess.util.MemoryUtil;
import org.codelibs.fess.util.ThreadDumpUtil;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;
import jakarta.annotation.Resource;

With respect to development inside an IDE the workspace from which we would like to resolve and retrieve dependencies is a read-only local repository to Mercury which is put at the front-end of the search order of any repository that Mercury will consult for artifacts.

h4. Generation of plugin metadata and packaging

import io.restassured.response.Response;

public class CrawlTestBase extends ITBase {
    private static final Logger logger = LogManager.getLogger(CrawlTestBase.class);

    private static final String DOC_INDEX_NAME = "fess.search";

    protected static void createJob(final Map<String, Object> requestBody) {
        checkMethodBase(requestBody).put("/api/admin/scheduler/setting").then().body("response.created", equalTo(true))

import org.codehaus.plexus.interpolation.PrefixedValueSourceWrapper;
import org.codehaus.plexus.interpolation.RecursionInterceptor;
import org.codehaus.plexus.interpolation.ValueSource;

/**
 * Use a regular expression search to find and resolve expressions within the POM.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

   * i, i + target.length)} contains exactly the same elements as {@code target}.
   *
   * @param array the array to search for the sequence {@code target}
   * @param target the array to search for as a sub-sequence of {@code array}
   */
  public static int indexOf(byte[] array, byte[] target) {
    checkNotNull(array, "array");
    checkNotNull(target, "target");

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;

        this.save(os);
    }

    /**
     * Searches for the property with the specified key in this property list.
     *
     * @param key the property key.
     * @return the value in this property list with the specified key value.
     */
    public String getProperty(String key) {
        return this.get(key);
    }

    /**

### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen

* **spaCy** NER-Modellintegration.
* **Azure Cognitive Search**-Anforderungsformat integriert.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
* **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.