Het aanroepen van dit programma leidt tot het volgende resultaat:

```
John Doe
```

De functie voert het volgende uit:

* Neem een `first_name` en een `last_name`
* Converteer de eerste letter van elk naar een hoofdletter met `title()`.
``
* <abbr title="Voegt ze samen, als één. Met de inhoud van de een na de ander.">Voeg samen</abbr> met een spatie in het midden.

///

#### Menghasilkan *anggota enumerasi*

Anda bisa menghasilkan *anggota enumerasi* dari *operasi path* bahkan di body JSON bersarang (contoh `dict`).

They will be converted to their corresponding values (strings in this case) before returning them to the client:

{* ../../docs_src/path_params/tutorial005.py hl[18,21,23] *}

Klien akan mendapatkan respon JSON seperti berikut:

```JSON

                return directive;
            }
        }
        return null;
    }

    /**
     * Adds a directive to the robots.txt rules.
     * The user-agent pattern in the directive is converted to a regular expression pattern,
     * where '*' is replaced with '.*' for pattern matching, and stored case-insensitively.
     *
     * @param directive The directive to add to the robots.txt rules
     */

    }

    /**
     * Creates an EditBody from a WebConfig entity.
     *
     * @param entity the web configuration entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final WebConfig entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <abbr title="converted from some plain format, like bytes, into Python objects">parsed</abbr> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.

/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

    /**
     * Creates an EditBody from a StemmerOverrideItem entity for API responses.
     *
     * @param entity the StemmerOverrideItem entity to convert
     * @param dictId the dictionary ID
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final StemmerOverrideItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();

    }

    /**
     * Registers a data store instance with the factory using the specified name.
     * The data store will be accessible by both the provided name and its class simple name,
     * both converted to lowercase for case-insensitive lookup.
     *
     * @param name the name to register the data store under, must not be null
     * @param dataStore the data store instance to register, must not be null

/// info

Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models.

- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer
- **Popular Words Analytics**: Track and analyze frequently searched terms
- **Flexible Text Processing**: Configurable converters and normalizers for text transformation
- **OpenSearch Integration**: Seamless integration with OpenSearch/Elasticsearch clusters
- **Asynchronous Operations**: Non-blocking suggestion requests with callback support