Es verbessert die Editor-Unterstützung für Pydantic-Modelle, mit:

    * Code-Vervollständigung
    * Typüberprüfungen
    * Refaktorisierung
    * Suchen
    * Inspektionen

## Das Modell verwenden

Innerhalb der Funktion können Sie alle Attribute des Modells direkt verwenden:

=== "Python 3.10+"

    ```Python hl_lines="19"

    public Optional<Model> getRawModel(String modelId) {
        return Optional.ofNullable(rawModels.get(modelId));
    }

    public DefaultModelBuilderResult setRawModel(String modelId, Model rawModel) {
        // Intentionally notNull because Super POM may not contain a modelId
        Objects.requireNonNull(modelId, "modelId cannot be null");

        rawModels.put(modelId, rawModel);

        return this;
    }

        DefaultModelProblem pb2 =
                new DefaultModelProblem("message2", ModelProblem.Severity.ERROR, null, "source", 0, 0, "modelId", null);
        String msg = ModelBuildingException.toMessage("modelId", Arrays.asList(pb1, pb2));
        assertEquals(
                "2 problems were encountered while building the effective model for modelId" + System.lineSeparator()

        void setValue(String value)
    }

    def collectionPath = ModelPath.path("collection")
    def collectionType = new ModelType<ModelSet<NamedThing>>() {}
    private ModelReference<ModelSet<NamedThing>> reference = ModelReference.of(collectionPath, new ModelType<ModelSet<NamedThing>>() {})

    def setup() {
        registry.register(

            val addressSerializer = BlockAddressSerializer()
            val intermediateModels = mutableMapOf<ModelKey, BlockAddress>()
            readCollection {
                val modelKey = readModelKey()
                val address = addressSerializer.read(this)
                intermediateModels[modelKey] = address
            }
            val metadata = mutableMapOf<Path, BlockAddress>()
            readCollection {

                "@${Managed.name} interface SomeThing { SomeThing getThing() }",
                "@${Managed.name} interface SomeThing { ${ModelSet.name}<SomeThing> getThings() }",
                "@${Managed.name} interface SomeThing { @${Managed.name} static interface Child {}; ${ModelSet.name}<Child> getThings() }",
        ]
    }

    def "does not hold strong reference to a managed #type type"() {
        given:

# OpenAPI-`models`

OpenAPI Pydantic-Modelle, werden zum Generieren und Validieren der generierten OpenAPI verwendet.

            int columnNumber,
            String modelId,
            Exception exception) {
        this.message = message;
        this.severity = (severity != null) ? severity : Severity.ERROR;
        this.source = (source != null) ? source : "";
        this.lineNumber = lineNumber;
        this.columnNumber = columnNumber;
        this.modelId = (modelId != null) ? modelId : "";
        this.exception = exception;

* **JWT-Token**-Authentifizierung.
* **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können).
* Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf).
* **Alembic**-Migrationen.
* **CORS** (Cross Origin Resource Sharing).
* **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.

    private val cacheFingerprintController: ConfigurationCacheFingerprintController
) : ProjectStateStore<ModelKey, IntermediateModel>(store, StateType.IntermediateModels, "intermediate model", calculatedValueContainerFactory) {
    override fun projectPathForKey(key: ModelKey) = key.identityPath

    override fun write(encoder: Encoder, value: IntermediateModel) {