}

    /**
     * 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.

    /**
     * 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.

    }

    /**
     * Creates an EditBody from a ScheduledJob entity.
     *
     * @param entity the scheduled job entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final ScheduledJob entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, op -> op.exclude(Constants.COMMON_CONVERSION_RULE));

                        .setSize(keyMatch.getMaxSize());
                return true;
            });
        }
        return Collections.emptyList();
    }

    /**
     * Converts a string to lowercase.
     *
     * @param term The string to convert.
     * @return The lowercase string.
     */
    private String toLowerCase(final String term) {

```java
// Configure bean copying behavior
CopyOptions options = new CopyOptions()
    .exclude("password", "internalId")      // Exclude specific fields
    .includeNull(false)                     // Skip null values
    .converter("dateField", new DateConverter("yyyy-MM-dd"));

BeanUtil.copyBeanToBean(source, dest, options);
```

## 🤝 Contributing

We welcome contributions! Please see our contributing guidelines for details.

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.suggest.analysis.SuggestAnalyzer;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.exception.SuggesterException;
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;

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

En este ejemplo, no declaramos ningún modelo Pydantic. De hecho, el cuerpo del request ni siquiera se <abbr title="converted from some plain format, like bytes, into Python objects">parse</abbr> como JSON, se lee directamente como `bytes`, y la función `magic_data_reader()` sería la encargada de parsearlo de alguna manera.