* @throws IOException If an I/O error occurs.
     */
    protected String loadIndexSettings() throws IOException {
        final String dictionaryPath = System.getProperty("fess.dictionary.path", StringUtil.EMPTY);
        final StringBuilder sb = new StringBuilder();
        try (BufferedReader br =

                    }
                },
                "x-aperture-labs-portal": "blue"
            }
        }
    }
}
```

### Benutzerdefiniertes OpenAPI-*Pfadoperation*-Schema

Das Dictionary in `openapi_extra` wird mit dem automatisch generierten OpenAPI-Schema für die *Pfadoperation* zusammengeführt (mittels Deep Merge).

Sie können dem automatisch generierten Schema also zusätzliche Daten hinzufügen.

{* ../../docs_src/events/tutorial003.py hl[16,19] *}

Here we are simulating the expensive *startup* operation of loading the model by putting the (fake) model function in the dictionary with machine learning models before the `yield`. This code will be executed **before** the application **starts taking requests**, during the *startup*.

     * @return The message manager.
     */
    public static MessageManager getMessageManager() {
        return getComponent(MESSAGE_MANAGER);
    }

    /**
     * Gets the dictionary manager component.
     * @return The dictionary manager.
     */
    public static DictionaryManager getDictionaryManager() {
        return getComponent(DICTIONARY_MANAGER);
    }

    /**
     * Gets the data service component.

        assertEquals("/error/system.jsp", FessHtmlPath.path_Error_SystemJsp.getRoutingPath());
    }

    public void test_dictPaths() throws Exception {
        // Test dictionary paths structure
        assertEquals("/admin/dict/admin_dict.jsp", FessHtmlPath.path_AdminDict_AdminDictJsp.getRoutingPath());
        assertEquals("/admin/dict/kuromoji/admin_dict_kuromoji.jsp",

                },
                "x-aperture-labs-portal": "blue"
            }
        }
    }
}
```

### Custom OpenAPI *path operation* schema { #custom-openapi-path-operation-schema }

The dictionary in `openapi_extra` will be deeply merged with the automatically generated OpenAPI schema for the *path operation*.

So, you could add additional data to the automatically generated schema.

@GwtCompatible
public final class Comparators {
  private Comparators() {}

  /**
   * Returns a new comparator which sorts iterables by comparing corresponding elements pairwise
   * until a nonzero result is found; imposes "dictionary order." If the end of one iterable is
   * reached, but not the other, the shorter iterable is considered to be less than the longer one.

{* ../../docs_src/events/tutorial003.py hl[16,19] *}

Hier simulieren wir das langsame *Hochfahren*, das Laden des Modells, indem wir die (Fake-)Modellfunktion vor dem `yield` in das Dictionary mit Modellen für maschinelles Lernen einfügen. Dieser Code wird ausgeführt, **bevor** die Anwendung **beginnt, Requests entgegenzunehmen**, während des *Hochfahrens*.

    /** The key of the message: Dictionary List */
    public static final String LABELS_dict_configuration = "{labels.dict_configuration}";

    /** The key of the message: Dictionary List */
    public static final String LABELS_dict_list_title = "{labels.dict_list_title}";

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

    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` bedeutet:

Nimm die Schlüssel-Wert-Paare des `second_user_data` <abbr title="Dictionary – Wörterbuch: In anderen Programmiersprachen auch Hash, Map, Objekt, Assoziatives Array genannt">Dicts</abbr> und übergib sie direkt als Schlüsselwort-Argumente. Äquivalent zu: `User(id=4, name="Mary", joined="2018-11-30")`.

///