return clickLogBhv.selectCount(cb -> {
            cb.query().setUrl_Equal(url);
        });
    }

    /**
     * Gets the favorite count for a URL.
     *
     * @param url The URL.
     * @return The favorite count.
     */
    public long getFavoriteCount(final String url) {
        final FavoriteLogBhv favoriteLogBhv = ComponentUtil.getComponent(FavoriteLogBhv.class);

    @Resource
    protected HttpServletRequest request;

    /** Flag indicating whether search logging is enabled. */
    protected boolean searchLogSupport;

    /** Flag indicating whether favorite functionality is enabled. */
    protected boolean favoriteSupport;

    /** Flag indicating whether thumbnail generation is enabled. */
    protected boolean thumbnailSupport;

    /**

labels.search_result_sort_click_count_asc=Klikken (oplopend)
labels.search_result_sort_click_count_desc=Klikken (aflopend)
labels.search_result_sort_favorite_count_asc=Favorieten (oplopend)
labels.search_result_sort_favorite_count_desc=Favorieten (aflopend)
labels.search_result_sort_multiple=Meerdere
labels.search_result_size={0} bytes
labels.search_result_created=Registratiedatum:

indexer.unprocessed.document.size=1000
# Whether to enable click count tracking in the indexer.
indexer.click.count.enabled=true
# Whether to enable favorite count tracking in the indexer.
indexer.favorite.count.enabled=true
# Commit margin time (ms) for webfs in the indexer.
indexer.webfs.commit.margin.time=5000
# Maximum number of empty lists for webfs in the indexer.

    /** Property key for user information configuration. */
    public static final String USER_INFO_PROPERTY = "user.info";

    /** Property key for user favorite functionality configuration. */
    public static final String USER_FAVORITE_PROPERTY = "user.favorite";

    /** Property key for search log configuration. */
    public static final String SEARCH_LOG_PROPERTY = "search.log";

You can also return Pydantic models (you'll see more about that later).

There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.

### Step 6: Deploy it { #step-6-deploy-it }

Deploy your app to **[FastAPI Cloud](https://fastapicloud.com)** with one command: `fastapi deploy`. 🎉

                        breakCursor = true;
                    }
                }
            });
        };
    }

    /**
     * Get the write call for favorite log ndjson.
     * @return The write call.
     */
    public static Consumer<Writer> getFavoriteLogNdjsonWriteCall() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

También puedes retornar modelos de Pydantic (verás más sobre eso más adelante).

Hay muchos otros objetos y modelos que serán automáticamente convertidos a JSON (incluyendo ORMs, etc). Intenta usar tus favoritos, es altamente probable que ya sean compatibles.

### Paso 6: Despliégalo { #step-6-deploy-it }

Despliega tu app en **[FastAPI Cloud](https://fastapicloud.com)** con un solo comando: `fastapi deploy`. 🎉

Você também pode devolver modelos Pydantic ( você verá mais sobre isso mais tarde).

Existem muitos outros objetos e modelos que serão convertidos automaticamente para JSON (incluindo ORMs, etc). Tente usar seus favoritos, é altamente provável que já sejam compatíveis.

### Passo 6: Faça o deploy { #step-6-deploy-it }

Faça o deploy da sua aplicação para a **[FastAPI Cloud](https://fastapicloud.com)** com um comando: `fastapi deploy`. 🎉

    /** The key of the message: by Favorite Count (asc) */
    public static final String LABELS_search_result_sort_favorite_count_asc = "{labels.search_result_sort_favorite_count_asc}";

    /** The key of the message: by Favorite Count (desc) */