public ActionForm() {
        // nothing
    }

    /**
     * The flag to replace aliases.
     */
    @Size(max = 10)
    public String replaceAliases;

    /**
     * The flag to reset dictionaries.
     */
    @Size(max = 10)
    public String resetDictionaries;

    /**
     * The number of shards for doc.
     */
    @Size(max = 10)

9. This *path operation function* is not returning dataclasses (although it could), but a list of dictionaries with internal data.

    FastAPI will use the `response_model` parameter (that includes dataclasses) to convert the response.

			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->
			 "indices.breaker.total.limit":"100%",
			 "action.auto_create_index":"-*"}
		</property>
		<!-- Dictionaries -->
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"mapping.txt"</arg>
		</postConstruct>
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"synonym.txt"</arg>

    }

    /**
     * Starts a reindex operation with the specified parameters.
     *
     * @param replaceAliases whether to replace aliases after reindexing
     * @param resetDictionaries whether to reset dictionaries during reindexing
     * @param numberOfShards the number of shards for the new index
     * @param autoExpandReplicas the auto expand replicas setting for the new index

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

FastAPI will use this return type to:

* **Validate** the returned data.

labels.upgrade_data_migration=Data Migration
labels.upgrade_reindex=Re-indexing
labels.upgrade_start_button=Start
labels.replace_aliases=Replace Aliases
labels.reset_dictionaries=Reset Dictionaries
labels.reindex_start_button=Start
labels.targetVersion=Target Version
labels.target_version=Target Version
labels.sereq_configuration=Request to OpenSearch
labels.sereq_request_file=Request File

labels.upgrade_data_migration=Data Migration
labels.upgrade_reindex=Re-indexing
labels.upgrade_start_button=Start
labels.replace_aliases=Replace Aliases
labels.reset_dictionaries=Reset Dictionaries
labels.reindex_start_button=Start
labels.targetVersion=Target Version
labels.target_version=Target Version
labels.sereq_configuration=Request to OpenSearch
labels.sereq_request_file=Request File

    /** The key of the message: Replace Aliases */
    public static final String LABELS_replace_aliases = "{labels.replace_aliases}";

    /** The key of the message: Reset Dictionaries */
    public static final String LABELS_reset_dictionaries = "{labels.reset_dictionaries}";

    /** The key of the message: Start */

    *   `steps_per_epoch` and `steps` arguments are supported with numpy arrays.
    *   New error message when unexpected keys are used in
        sample_weight/class_weight dictionaries
    *   Losses are scaled in Keras compile/fit and not in the optimizers
        anymore. If you are using custom training loop, we have new utilities to
        help scale losses `tf.nn.compute_average_loss`,

9. Diese *Pfadoperation-Funktion* gibt keine Datenklassen zurück (obwohl dies möglich wäre), sondern eine Liste von Dictionarys mit internen Daten.

    FastAPI verwendet den Parameter `response_model` (der Datenklassen enthält), um die Response zu konvertieren.