Und dieselben Informationen aus den Modellen, die in OpenAPI enthalten sind, können zum **Generieren des Client-Codes** verwendet werden.

### Einen TypeScript-Client generieren

Nachdem wir nun die Anwendung mit den Modellen haben, können wir den Client-Code für das Frontend generieren.

#### `openapi-ts` installieren

* **du support de l'éditeur**
* **de la vérification de types**

...et **FastAPI** utilise ces mêmes déclarations pour :

* **Définir les prérequis** : depuis les paramètres de chemins des requêtes, les entêtes, les corps, les dépendances, etc.
* **Convertir des données** : depuis la requête vers les types requis.
* **Valider des données** : venant de chaque requête :

	"fmt"
	"io"
	"maps"
	"net/http"
	"net/url"
	"os"
	"path"
	"path/filepath"
	"runtime"
	"runtime/pprof"
	"runtime/trace"
	"slices"
	"strings"
	"sync"
	"time"

	"github.com/coreos/go-oidc/v3/oidc"
	"github.com/dustin/go-humanize"
	"github.com/felixge/fgprof"
	"github.com/minio/madmin-go/v3"
	xaudit "github.com/minio/madmin-go/v3/logger/audit"
	"github.com/minio/minio-go/v7"

        if: failure() || cancelled()
        with:
          name: ${{ github.run_number }}-integration-test-artifact-${{ runner.os }}-${{ matrix.java }}

    // Make sure that hash codes are not computed per-instance.
    assertEqualHashCode(Predicates.not(p1), Predicates.not(p1));

    assertEqualHashCode(Predicates.and(p1, p2), Predicates.and(p1, p2));

    assertEqualHashCode(Predicates.or(p1, p2), Predicates.or(p1, p2));

    // While not a contractual requirement, we'd like the hash codes for ands
    // & ors of the same predicates to not collide.

import org.codelibs.fess.opensearch.client.SearchEngineClient;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.mail.send.hook.SMailCallbackContext;
import org.lastaflute.core.mail.Postbox;
import org.opensearch.action.admin.cluster.health.ClusterHealthResponse;
import org.opensearch.cluster.health.ClusterHealthStatus;

public class PingSearchEngineJobTest extends UnitFessTestCase {

import javax.xml.XMLConstants;
import javax.xml.parsers.SAXParser;
import javax.xml.parsers.SAXParserFactory;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.entity.SitemapFile;
import org.codelibs.fess.crawler.entity.SitemapSet;
import org.codelibs.fess.crawler.entity.SitemapUrl;

package org.codelibs.fess.ldap;

import java.util.Hashtable;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicReference;
import java.util.function.Consumer;

import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.helper.ActivityHelper;
import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.mylasta.action.FessUserBean;
import org.codelibs.fess.mylasta.direction.FessConfig;

* Поддержка **WebSocket**.
* Фоновые задачи для процессов.
* События запуска и выключения.
* Тестовый клиент построен на библиотеке HTTPX.
* **CORS**, GZip, статические файлы, потоковые ответы.
* Поддержка **сессий и cookie**.
* 100% покрытие тестами.
* 100% аннотирование типов в кодовой базе.

## Особенности и возможности Pydantic

package org.codelibs.fess.util;

import java.io.IOException;
import java.io.InputStream;
import java.io.StringReader;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.ResourceUtil;
import org.codelibs.fess.exception.GsaConfigException;
import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.opensearch.config.exentity.LabelType;
import org.codelibs.fess.unit.UnitFessTestCase;