/**
   * Returns the {@link Executor} that will be used to run this service. Subclasses may override
   * this method to use a custom {@link Executor}, which may configure its worker thread with a
   * specific name, thread group or priority. The returned executor's {@link
   * Executor#execute(Runnable) execute()} method is called when this service is started and
   * stopped, and should return promptly.

        }

        def stylesheetFile = new File(getTemporaryDir(), "dslHtml.xsl")
        def xslthlConfigFile = getStylesheetHighlightFile().get().asFile.toURI()

        // TODO: Implement this with the worker API
        workerLeaseService.runAsIsolatedTask({
            source.visit { FileVisitDetails fvd ->
                if (fvd.isDirectory()) {
                    return
                }

- **Configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.
- **Execution**: Runs the work efficiently. This includes scheduling, execution, caching and so on.

#### Software development platform

### Full Stack FastAPI PostgreSQL – Funktionen

* Vollständige **Docker**-Integration (Docker-basiert).
* Docker-Schwarmmodus-Deployment.
* **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.

	current     []jstream.KVS   // current block of results to be returned
	recordsRead int             // number of records read in current slice
	input       chan *queueItem // input for workers
	queue       chan *queueItem // output from workers in order
	err         error           // global error state, only touched by Reader.Read
	bufferPool  sync.Pool       // pool of []byte objects for input

### Full Stack FastAPI PostgreSQL - Fonctionnalités

* Intégration **Docker** complète (basée sur Docker).
* Déploiement Docker en mode <a href="https://docs.docker.com/engine/swarm/" class="external-link" target="_blank">Swarm</a>
* Intégration **Docker Compose** et optimisation pour développement local.
* Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.

					"precondition-tester",
					"tooling-api-builders",
					"daemon-services",
					"hashing",
					"service-registry-builder",
					"base-services-groovy",
					"declarative-dsl-internal-utils",
					"worker-main"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"language-java",
					"kotlin-dsl-provider-plugins",
					"native",

## Offizielles Docker-Image mit Gunicorn – Uvicorn

Es gibt ein offizielles Docker-Image, in dem Gunicorn mit Uvicorn-Workern ausgeführt wird, wie in einem vorherigen Kapitel beschrieben: [Serverworker – Gunicorn mit Uvicorn](server-workers.md){.internal-link target=_blank}.

   * Run the service. This method is invoked on the execution thread. Implementations must respond
   * to stop requests. You could poll for lifecycle changes in a work loop:
   *
   * <pre>
   *   public void run() {
   *     while ({@link #isRunning()}) {
   *       // perform a unit of work
   *     }
   *   }
   * </pre>
   *
   * <p>...or you could respond to stop requests by implementing {@link #triggerShutdown()}, which

- **core-configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.
- **core-execution**: Runs the work efficiently. This includes scheduling, execution, caching and so on.