assertTrue(result.contains("Data Config Id: data1"));
    }

    // Test getRunningJobCount method
    public void test_getRunningJobCount() {
        // Skip this test - requires complex DB setup
        if (true)
            return;
        // Setup test with mock ScheduledJobBhv
        final AtomicInteger callCount = new AtomicInteger(0);

        assertEquals(originalQueryName, extractedQueryName);
    }

    public void test_complex_field_names() {
        // Test various complex field names
        String[] fieldNames = { "simple_field", "field-with-dashes", "field.with.dots", "field_with_underscores", "fieldWithCamelCase",

        RenderData data = new RenderData();

        ComplexObject obj = new ComplexObject();
        obj.setValue("complex value");

        RenderDataUtil.register(data, "complex", obj);

        Object result = data.getDataMap().get("complex");
        assertEquals(obj, result); // Non-entity objects are registered as-is
    }

    public void test_register_arrayList() {

                WebResourceRoot.class.isAssignableFrom(FessWebResourceRoot.class));
    }

    public void test_classStructure() {
        // Basic class structure tests that don't require complex mocking
        assertEquals("FessWebResourceRoot should be in correct package", "org.codelibs.fess.tomcat.webresources.FessWebResourceRoot",
                FessWebResourceRoot.class.getName());

    O FastAPI usará o parâmetro `response_model` (que inclui dataclasses) para converter a resposta.

Você pode combinar `dataclasses` com outras anotações de tipo em muitas combinações diferentes para formar estruturas de dados complexas.

Confira as dicas de anotação no código acima para ver mais detalhes específicos.

## Saiba Mais

* Valideer **complexe structuren**:
    * Gebruik van hiërarchische Pydantic modellen, Python `typing`'s `List` en `Dict`, enz.
    * Met validators kunnen complexe dataschema's duidelijk en eenvoudig worden gedefinieerd, gecontroleerd en gedocumenteerd als JSON Schema.

        assertNotNull(crawlerLogHelper);
    }

    public void test_log_method_exists() {
        // Test that the log method exists and can be called
        // We can't easily test the actual functionality without complex mocking
        // but we can verify the class structure
        assertNotNull(crawlerLogHelper);
        assertTrue(CrawlerLogHelper.class.getSuperclass().getSimpleName().contains("LogHelper"));
    }

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

    /**
     * This test primarily exists to ensure the constants interface can be loaded
     * and to provide a basic check of its values.
     * Since it's an interface with only static final fields, there is no complex logic to test.
     */
    @Test
    void testConstants() {
        // A simple assertion to verify that some of the constants have the expected values.

Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan dans différents process, et potentiellement, sur plusieurs serveurs.