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.

## Recap { #recap }

* Import `FastAPI`.
* Create an `app` instance.
* Write a **path operation decorator** using decorators like `@app.get("/")`.

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.

    @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;

    /**

    /** 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";

    /** 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) */

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

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

Vous pouvez aussi retourner des models **Pydantic** (qui seront détaillés plus tard).

Il y a de nombreux autres objets et modèles qui seront automatiquement convertis en JSON. Essayez d'utiliser vos favoris, il est fort probable qu'ils soient déjà supportés.

## Récapitulatif

* Importez `FastAPI`.
* Créez une instance d'`app`.
* Ajoutez une **décorateur d'opération de chemin** (tel que `@app.get("/")`).

                    .addSearchLog(params, DfTypeUtil.toLocalDateTime(requestedTime), queryId, query, params.getStartPosition(),
                            params.getPageSize(), queryResponseList);
        }

        // favorite
        if (fessConfig.isUserFavorite()) {
            ComponentUtil.getUserInfoHelper().storeQueryId(queryId, documentItems);
        }

    }

    /**

This solved having to write YAML (another syntax) inside of Python docstrings.

This combination of Flask, Flask-apispec with Marshmallow and Webargs was my favorite backend stack until building **FastAPI**.

Using it led to the creation of several Flask full-stack generators. These are the main stacks I (and several external teams) have been using up to now:

     */
    boolean isIndexerClickCountEnabled();

    /**
     * Get the value for the key 'indexer.favorite.count.enabled'. <br>
     * The value is, e.g. true <br>
     * comment: Whether to enable favorite count tracking in the indexer.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */