Since FastAPI 0.119.0, there's also partial support for Pydantic v1 from inside of Pydantic v2, to facilitate the migration to v2.

So, you could upgrade Pydantic to the latest version 2, and change the imports to use the `pydantic.v1` submodule, and in many cases it would just work.

{* ../../docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py hl[2,5,15] *}

/// warning

        }
    };

    /**
     * The tag used to denote an effective dependency management section from an imported model.
     */
    ModelCacheTag<DependencyManagement> IMPORT = new ModelCacheTag<DependencyManagement>() {

        @Override
        public String getName() {
            return "import";
        }

        @Override
        public Class<DependencyManagement> getType() {

### Basic Usage

#### 1. Create Suggester Instance

```java
import org.codelibs.fess.suggest.Suggester;
import org.opensearch.client.Client;

// Initialize with your OpenSearch client
String suggestId = "my-suggest-index";
Suggester suggester = Suggester.builder().build(client, suggestId);
```

#### 2. Add Suggestion Documents

```java
import org.codelibs.fess.suggest.entity.SuggestItem;

Asegúrate de [Actualizar la versión de FastAPI](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} al menos a la 0.95.1 antes de usar `Annotated`.

///

### Importar `Depends` { #import-depends }

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[3] *}

### Declarar la dependencia, en el "dependant" { #declare-the-dependency-in-the-dependant }

Certifique-se de criar um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo e então instalá-lo, por exemplo:

```console
$ pip install python-multipart
```

///

## Importe `Form` { #import-form }

Importe `Form` de `fastapi`:

{* ../../docs_src/request_forms/tutorial001_an_py39.py hl[3] *}

## Defina parâmetros de `Form` { #define-form-parameters }

package org.apache.maven.internal.aether;

import java.io.File;
import java.io.IOException;
import java.io.UncheckedIOException;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.List;
import java.util.ListIterator;
import java.util.Objects;

import org.apache.maven.api.model.InputLocation;
import org.apache.maven.api.model.Plugin;

 */
package org.codelibs.fess.app.service;

import java.io.IOException;
import java.io.Reader;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.BadWordPager;

///

## Importe o `BaseModel` do Pydantic { #import-pydantics-basemodel }

Primeiro, você precisa importar `BaseModel` do `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crie seu modelo de dados { #create-your-data-model }

 */
package org.codelibs.fess.app.service;

import static org.codelibs.core.stream.StreamUtil.split;
import static org.codelibs.core.stream.StreamUtil.stream;

import java.io.IOException;
import java.io.Reader;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

Asegúrate de crear un [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, activarlo y luego instalarlo, por ejemplo:

```console
$ pip install httpx
```

///

Importa `TestClient`.

Crea un `TestClient` pasándole tu aplicación de **FastAPI**.

Crea funciones con un nombre que comience con `test_` (esta es la convención estándar de `pytest`).