}
                exitCode.set(1);
            }
        }

        if (ComponentUtil.getFessConfig().isSuggestSearchLog()) {
            logger.info("Parsing words from search logs.");
            try {
                suggestHelper.storeSearchLog();
            } catch (final Exception e) {
                if (logger.isDebugEnabled()) {

## 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.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;

     */
    private int checkHeaderComment(List<String> commentLines) {
        if (getHeader() == null && layout.isEmpty()) {
            // This is the first comment. Search for blank lines.
            int index = commentLines.size() - 1;
            while (index >= 0 && !commentLines.get(index).isEmpty()) {
                index--;
            }

### 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.

* <a href="https://developers.liblab.com/tutorials/sdk-for-fastapi/?utm_source=fastapi" class="external-link" target="_blank">liblab</a>

There are also several other companies offering similar services that you can search and find online. 🤓

## Generate a TypeScript Frontend Client

Let's start with a simple FastAPI application:

//// tab | Python 3.9+

```Python hl_lines="7-9  12-13  16-17  21"

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o targetContainer: (Required)
    #  The target DI container.
    #  Your possible choices are:
    #
    #       spring, guice, seasar, cdi, lasta_di
    #
    ; targetContainer = spring
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o packageBase: (Required)