Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.CMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} xpp3-writer Does nothing. false true false false false true generate-sources org.apache.maven.plugin.coreit.BMojo java per-lookup once-per-session models java.lang.String[] false true version java.lang.String false true ${version} org.apache.maven maven-plugin-api jar 2.0 org/apache/m...

import org.apache.maven.api.model.Exclusion;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.services.BuilderProblem.Severity;
import org.apache.maven.api.services.ModelBuilderRequest;
import org.apache.maven.api.services.ModelProblem.Version;
import org.apache.maven.api.services.ModelProblemCollector;
import org.apache.maven.api.services.model.*;

/**
 * Handles the import of dependency management from other models into the target model.

* Automatyczna dokumentacja modelu danych za pomocą <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (ponieważ OpenAPI bazuje na JSON Schema).

            @Override
            public Model getRawModel(Path from, String gId, String aId) {
                Model model = findRawModel(from, gId, aId);
                if (model != null) {
                    context.modelByGA.put(new GAKey(gId, aId), new Holder(model));
                    context.modelByPath.put(model.getPomFile(), new Holder(model));
                }
                return model;
            }

            @Override

        Doc(
            """
            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        Optional[IncEx],
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),
    ] = None,

              <goal>xdoc</goal>
            </goals>
            <phase>pre-site</phase>
            <configuration>
              <version>1.0.0</version>
              <models>
                <model>src/main/mdo/extension.mdo</model>
              </models>
            </configuration>
          </execution>
        </executions>
      </plugin>
      <plugin>
        <groupId>org.codehaus.mojo</groupId>

    def _model_rebuild(model: Type[BaseModel]) -> None:
        model.model_rebuild()

    def _model_dump(
        model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
    ) -> Any:
        return model.model_dump(mode=mode, **kwargs)

    def _get_model_config(model: BaseModel) -> Any:
        return model.model_config

    def get_schema_from_model_field(

     */
    private static final Map<String, Model> SUPER_MODELS = new ConcurrentHashMap<>();

    @Inject
    public DefaultSuperPomProvider(ModelProcessor modelProcessor) {
        this.modelProcessor = modelProcessor;
    }

    @Override
    public Model getSuperPom(String version) {
        return SUPER_MODELS.computeIfAbsent(Objects.requireNonNull(version), v -> readModel(version, v));
    }

    ```

!!! info
    In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.

Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.

import org.apache.maven.model.building.ArtifactModelSource;
import org.apache.maven.model.building.DefaultModelProblem;
import org.apache.maven.model.building.FileModelSource;
import org.apache.maven.model.building.ModelSource2;
import org.apache.maven.model.building.ModelSource3;
import org.apache.maven.model.resolution.UnresolvableModelException;
import org.apache.maven.model.root.RootLocator;