Model out = interpolator.interpolateModel(
                model, new File("."), createModelBuildingRequest(context), new SimpleProblemCollector());

        assertEquals(orgName + " Tools", out.getName());
    }

    @Test
    public void shouldInterpolateDependencyVersionToSetSameAsProjectVersion() throws Exception {
        Model model = new Model(org.apache.maven.api.model.Model.newBuilder()

import org.apache.maven.model.DistributionManagement;
import org.apache.maven.model.Exclusion;
import org.apache.maven.model.Extension;
import org.apache.maven.model.FileSet;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.IssueManagement;
import org.apache.maven.model.License;
import org.apache.maven.model.MailingList;
import org.apache.maven.model.Model;
import org.apache.maven.model.ModelBase;

	user := *GetUser("SoftDelete", Config{})
	DB.Save(&user)

	var count int64
	var age uint

	if DB.Model(&User{}).Where("name = ?", user.Name).Count(&count).Error != nil || count != 1 {
		t.Errorf("Count soft deleted record, expects: %v, got: %v", 1, count)
	}

	if DB.Model(&User{}).Select("age").Where("name = ?", user.Name).Scan(&age).Error != nil || age != user.Age {

    FunctionalTestBucketGenerator(model, testClassDataJson).generate(generatedBucketsJson)
}

class FunctionalTestBucketGenerator(
    private val model: CIBuildModel,
    testTimeDataJson: File,
) {
    private val gson: Gson = GsonBuilder().setPrettyPrinting().create()
    private val buckets: Map<TestCoverage, List<SmallSubprojectBucket>> = buildBuckets(testTimeDataJson, model)

    fun generate(jsonFile: File) {

 */
package org.apache.maven.project;

import java.util.ArrayList;
import java.util.List;

import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.model.Model;
import org.apache.maven.model.Repository;

/**
 * A stub implementation to bypass artifact resolution from repositories.
 *
 */
public class EmptyProjectBuildingHelper implements ProjectBuildingHelper {

    @Override

    model = ModelWithDefault(foo="foo", bar="bar")
    assert jsonable_encoder(model) == {"foo": "foo", "bar": "bar", "bla": "bla"}
    assert jsonable_encoder(model, exclude_unset=True) == {"foo": "foo", "bar": "bar"}
    assert jsonable_encoder(model, exclude_defaults=True) == {"foo": "foo"}
    assert jsonable_encoder(model, exclude_unset=True, exclude_defaults=True) == {
        "foo": "foo"
    }

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, die Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

import org.apache.maven.model.PluginContainer;
import org.apache.maven.model.ReportPlugin;
import org.apache.maven.model.Reporting;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.merge.MavenModelMerger;
import org.codehaus.plexus.util.StringUtils;

/**
 * Handles inheritance of model values.
 *

    }

    /**
     * Converts this compat model InputSource to an API model InputSource.
     * This method is used for converting between the compat model and the API model.
     *
     * @return the equivalent API model InputSource
     */
    public org.apache.maven.api.model.InputSource toApiSource() {
        return org.apache.maven.api.model.InputSource.of(modelId, location);
    }