Da mesma forma, este banco de dados não receberia um modelo Pydantic (um objeto com atributos), apenas um `dict`.

Você pode usar a função `jsonable_encoder` para resolver isso.

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

    /**
     * Gets the file model.
     *
     * @return the file model, never {@code null}.
     */
    @Nonnull
    Model getFileModel();

    /**
     * Gets the file model + build pom transformation, without inheritance nor interpolation.
     *
     * @return The raw model, never {@code null}.
     */
    @Nonnull
    Model getRawModel();

    /**
     * Gets the effective model of the parent POM.
     *

    } // -- void setAddDefaultEntities( boolean )

    protected Model read(Reader reader, boolean strict, InputSource source) throws IOException, XmlPullParserException {
        try {
            org.apache.maven.api.model.Model model =
                    delegate.read(reader, strict, source != null ? source.toApiSource() : null);
            return new Model(model);
        } catch (XMLStreamException e) {

    model: CIBuildModel,
    stage: Stage,
    os: Os? = null,
) = stageTriggerUuid(model, stage.stageName, os)

fun stageTriggerId(
    model: CIBuildModel,
    stageName: StageName,
    os: Os? = null,
) = "${model.projectId}_Stage_${stageName.id}_${osSuffix(os)}Trigger"

fun stageTriggerUuid(
    model: CIBuildModel,
    stageName: StageName,
    os: Os? = null,

import org.apache.maven.api.model.ModelBase;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.model.PluginContainer;
import org.apache.maven.api.model.Profile;
import org.apache.maven.api.model.ReportPlugin;
import org.apache.maven.api.model.Reporting;
import org.apache.maven.model.v4.MavenMerger;

/**
 * As long as Maven controls the BuildPomXMLFilter, the entities that need merging are known.

	DB.Model(&blog).Association("Tags").Delete(tag5)
	var tags3 []Tag
	DB.Model(&blog).Association("Tags").Find(&tags3)
	if !compareTags(tags3, []string{"tag6"}) {
		t.Fatalf("Should find 1 tags after Delete")
	}

	if DB.Model(&blog).Association("Tags").Count() != 1 {
		t.Fatalf("Blog should has three tags after Delete")
	}

	DB.Model(&blog).Association("Tags").Delete(tag3)
	var tags4 []Tag

 * <ol>
 * <li>success - in which case only the model field is set
 * <li>success with warnings - model field + non-error model problems
 * <li>error - no model, but diagnostics
 * <li>error - (partial) model and diagnostics
 * </ol>
 * Could encode these variants as subclasses, but kept in one for now
 *
 * @param <T> the model type
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead

    },
    BuildLogicTest {
        override fun create(
            model: CIBuildModel,
            stage: Stage,
            flakyTestStrategy: FlakyTestStrategy,
        ): OsAwareBaseGradleBuildType = BuildLogicTest(model, stage)
    },
    BuildDistributions {
        override fun create(
            model: CIBuildModel,
            stage: Stage,

 */
package org.apache.maven.model.normalization;

import javax.inject.Named;
import javax.inject.Singleton;

import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

import org.apache.maven.model.Build;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Model;
import org.apache.maven.model.Plugin;

De la misma manera, esta base de datos no recibiría un modelo de Pydantic (un objeto con atributos), solo un `dict`.

Puedes usar `jsonable_encoder` para eso.

Recibe un objeto, como un modelo de Pydantic, y devuelve una versión compatible con JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.