.findFirst()
                .orElseThrow(() -> new AssertionError("Custom resource not found"));

        // Verify targetPath was preserved through conversion chain
        assertEquals(
                "custom-output", customResource.getTargetPath(), "targetPath should be preserved in ConnectedResource");

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):

                || url.startsWith("gcs:");
    }

    /**
     * Checks if the given path has a known protocol prefix that should not be converted.
     * Used to determine if path conversion is needed in the wizard.
     *
     * @param path the path to check
     * @return true if the path has a known protocol prefix
     */
    public boolean hasKnownProtocol(final String path) {

* <abbr title="también conocido como: serialización, parsing, marshalling">Conversión</abbr> de datos de entrada: de la red a los datos y tipos de Python. Leyendo desde:
    * JSON.
    * Parámetros de path.
    * Parámetros de query.
    * Cookies.
    * Headers.
    * Forms.
    * Archivos.

         * @return The created query builder.
         */
        QueryBuilder buildQuery(String field, String text, float boost);
    }

    /**
     * Template method that handles the common pattern of query conversion:
     * 1. Check if field is DEFAULT_FIELD and apply default query builder
     * 2. Check if field is a search field and apply field-specific query
     * 3. Fall back to default query builder for unsupported fields
     *

import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {

 *   <li><strong>Namespace Update</strong>: Changes namespace from Maven 4.0.0 to 4.1.0 for all elements</li>
 *   <li><strong>Schema Location Update</strong>: Updates xsi:schemaLocation to Maven 4.1.0 XSD</li>
 *   <li><strong>Module Conversion</strong>: Converts {@code <modules>} to {@code <subprojects>} and {@code <module>} to {@code <subproject>}</li>
 *   <li><strong>Model Version Update</strong>: Updates {@code <modelVersion>} to 4.1.0</li>
 * </ol>
 *

        return new UpgradeResult(processedPoms, modifiedPoms, errorPoms);
    }

    /**
     * Performs the core model upgrade from current version to target version.
     * This includes namespace updates and module conversion using domtrip.
     * Returns the upgraded document.
     */
    private Document performModelUpgrade(
            Document pomDocument, UpgradeContext context, String currentVersion, String targetModelVersion) {

Try to be as specific and objective as possible, avoid generalizations.

For conversations that are more difficult, for example to reject a PR, you can ask me (@tiangolo) to handle it directly.

## Edit PR Titles

│   │   ├── SuggestIndexer.java     # Main indexing API
│   │   ├── contents/               # Content parsers and readers
│   │   └── writer/                 # Index writing strategies
│   ├── converter/                  # Text conversion utilities
│   ├── normalizer/                 # Text normalization
│   ├── analysis/                   # Custom analyzers
│   └── settings/                   # Configuration management
├── main/resources/