}
        final String type = value.toLowerCase(Locale.ROOT);
        if ("documents".equals(type)) {
            if (values.length > 5 && "favorite".equals(values[5])) {
                request.setAttribute(DOC_ID_FIELD, values[4]);
                return FormatType.FAVORITE;
            }
            if (values.length > 4 && "all".equals(values[4])) {
                return FormatType.SCROLL;
            }

                    params.getStartPosition(), params.getPageSize(), queryResponseList);
        }

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

    }

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

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

            final long count = searchLogHelper.getFavoriteCount(url);
            map.put(fessConfig.getIndexFieldFavoriteCount(), count);
            if (logger.isDebugEnabled()) {
                logger.debug("Favorite Count: {}, url: {}", count, url);
            }
        }
    }

    private long cleanupAccessResults(final List<EsAccessResult> accessResultList) {
        if (!accessResultList.isEmpty()) {

crawler.document.cache.html.mimetypes=text/html

# indexer
indexer.thread.dump.enabled=true
indexer.unprocessed.document.size=1000
indexer.click.count.enabled=true
indexer.favorite.count.enabled=true
indexer.webfs.commit.margin.time=5000
indexer.webfs.max.empty.list.count=3600
indexer.webfs.update.interval=10000
indexer.webfs.max.document.cache.size=10

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:

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

    /**
     * Is the property for the key 'indexer.favorite.count.enabled' true? <br>
     * The value is, e.g. true <br>

Mais vous auriez le même support de l'éditeur avec <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> et la majorité des autres éditeurs de code Python.

<img src="/img/tutorial/body/image05.png">

/// tip | "Astuce"

Isso resolveu o problema de ter que escrever YAML (outra sintaxe) dentro das _docstrings_ Python.

Essa combinação de Flask, Flask-apispec com Marshmallow e Webargs foi meu _backend stack_ favorito até construir o **FastAPI**.

Usando essa combinação levou a criação de vários geradores Flask _full-stack_. Há muitas _stacks_ que eu (e vários times externos) estou utilizando até agora: