urlQueueService.insert(urlQueue);

        // Poll should return the item
        final OpenSearchUrlQueue polled = urlQueueService.poll(sessionId);
        assertNotNull(polled);
        assertEquals("http://www.example.com/page1", polled.getUrl());
        assertEquals(sessionId, polled.getSessionId());

        // Second poll should return null (queue is empty)

     */
    public String getUrl() {
        return url;
    }

    /**
     * Checks whether the crawling process should be aborted due to this exception.
     *
     * @return true if the crawling should be aborted, false otherwise
     */
    public boolean aborted() {
        return abort;
    }

///

### <a href="https://moltenframework.com/" class="external-link" target="_blank">Molten</a> { #molten }

Я обнаружил Molten на ранних этапах создания **FastAPI**. И у него были очень похожие идеи:

* Основан на аннотациях типов Python.
* Валидация и документация из этих типов.
* Система внедрения зависимостей.

Although in FastAPI it's optional, and is used mainly to set headers, cookies, and alternative status codes.

///

### <a href="https://moltenframework.com/" class="external-link" target="_blank">Molten</a> { #molten }

I discovered Molten in the first stages of building **FastAPI**. And it has quite similar ideas:

* Based on Python type hints.
* Validation and documentation from these types.
* Dependency Injection system.

                // We'll handle success/failure reporting inside the TEARDOWN phase
                shouldExecute = true;
            } else {
                // For regular steps:
                // Don't run for halted builds, blacklisted projects, or if predecessors failed
                shouldExecute = !status.isHalted() && !status.isBlackListed(step.project) && allPredecessorsExecuted;
            }

     *
     * @return sorted list of data store class simple names discovered from plugins
     */
    protected List<String> loadDataStoreNameList() {
        final Set<String> nameSet = new HashSet<>();
        final File[] jarFiles = ResourceUtil.getPluginJarFiles(PluginHelper.ArtifactType.DATA_STORE.getId());
        if (jarFiles == null) {
            return nameSet.stream().sorted().collect(Collectors.toList());
        }

        stream(tags).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(roles).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));
        buf.append(CACHE_KEY_SPLITTER);
        stream(fields).of(stream -> stream.sorted().reduce((l, r) -> l + r).ifPresent(v -> buf.append(v)));

    * Se você quer fazer comparações com o FastAPI, compare com um _framework_  (ou conjunto de ferramentas) para aplicações _web_ que forneça validação de dados, serialização e documentação, como Flask-apispec, NestJS, Molten, etc. _Frameworks_ com validação de dados automática, serialização e documentação integradas....

        try (final ResponseData responseData = s3Client.doGet("s3://fess/")) {
            fail();
        } catch (ChildUrlsException e) {
            String[] values = e.getChildUrlList().stream().map(d -> d.getUrl()).sorted().toArray(n -> new String[n]);
            assertEquals(3, values.length);
            assertEquals("s3://fess/dir1/", values[0]);
            assertEquals("s3://fess/dir3/", values[1]);

///

### <a href="https://moltenframework.com/" class="external-link" target="_blank">Molten</a> { #molten }

Ich habe Molten in den ersten Phasen der Entwicklung von **FastAPI** entdeckt. Und es hat ganz ähnliche Ideen:

* Basierend auf Python-Typhinweisen.
* Validierung und Dokumentation aus diesen Typen.