/**
     * Checks the specified (raw) model for missing or invalid values. The raw model is directly created from the POM
     * file and has not been subjected to inheritance, interpolation or profile/default injection.
     *
     * @param model The model to validate, must not be {@code null}.
     * @param request The model building request that holds further settings, must not be {@code null}.

     */
    public FacetQueryView() {
        // Default constructor
    }

    /**
     * Initializes the facet query view with default file type queries.
     * This method is called after dependency injection to set up file type facets
     * and register all queries with the FacetInfo component.
     */
    @PostConstruct
    public void init() {

# Dependency Injection

Use dependencies when:

* They can't be declared in Pydantic validation and require additional logic
* The logic depends on external resources or could block in any other way
* Other dependencies need their results (it's a sub-dependency)
* The logic can be shared by multiple endpoints to do things like error early, authentication, etc.
* They need to handle cleanup (e.g., DB sessions, file handles), using dependencies with `yield`

 * <p>
 * Beans injected into Mojo parameters are prepared by <a href="https://www.eclipse.org/sisu/">Sisu</a> JSR330-based
 * container: this annotation is only effective on fields of the Mojo class itself, nested bean injection
 * requires Sisu or JSR330 annotations.
 *
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD, ElementType.METHOD})
@Inherited

import org.apache.maven.model.io.ModelReader;
import org.apache.maven.model.locator.ModelLocator;
import org.eclipse.sisu.Typed;

/**
 *
 * Note: uses @Typed to limit the types it is available for injection to just ModelProcessor.
 *
 * This is because the ModelProcessor interface extends ModelLocator and ModelReader. If we
 * made this component available under all its interfaces then it could end up being injected

* das Handbuch für fortgeschrittene Benutzer
* die SQLModel-Dokumentation
* die API-Dokumentation
* die automatische Dokumentation

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic-Authentifizierung
* HTTP Digest
* ISO-Format
* der JSON-Schema-Standard
* das JSON-Schema
* die Schema-Definition
* Password Flow
* Mobile

* deprecatet
* designt

     * We never want to pass null for them, so we haven't annotated them to say that null is
     * allowed. But at the same time, it seems wasteful to bother inserting the checkNotNull calls
     * that NullPointerTester wants.
     *
     * (This empty method disables the automatic null testing provided by PackageSanityTests.)
     */
  }

* Любые именованные аргументы, которые должны быть переданы функции задачи (`message="some notification"`).

## Встраивание зависимостей { #dependency-injection }

     *
     * @return the effective model of the parent POM, never {@code null}
     */
    @Nonnull
    Model getParentModel();

    /**
     * Gets the assembled model with inheritance, interpolation and profile injection.
     *
     * @return The assembled model, never {@code null}.
     */
    @Nonnull
    Model getEffectiveModel();

    /**
     * Gets the profiles that were active during model building.
     *

    return {"fresh_value": fresh_value}
```

////

## Zusammenfassung { #recap }

Abgesehen von all den ausgefallenen Wörtern, die hier verwendet werden, ist das **Dependency Injection**-System recht simpel.

Einfach Funktionen, die genauso aussehen wie *Pfadoperation-Funktionen*.

Dennoch ist es sehr mächtig und ermöglicht Ihnen die Deklaration beliebig tief verschachtelter Abhängigkeits-„Graphen“ (Bäume).