import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.ModelBuildingException;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelSource;
import org.apache.maven.model.building.UrlModelSource;
import org.apache.maven.plugin.LegacySupport;
import org.apache.maven.profiles.ProfileManager;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

import org.apache.maven.api.model.Build;
import org.apache.maven.api.model.Dependency;
import org.apache.maven.api.model.Extension;
import org.apache.maven.api.model.Parent;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.artifact.ArtifactUtils;
import org.apache.maven.project.Graph.Vertex;

/**
 * ProjectSorter
 */

		{Name: "ID", DBName: "id", BindNames: []string{"Model", "ID"}, DataType: schema.Uint, PrimaryKey: true, Tag: `gorm:"primarykey"`, TagSettings: map[string]string{"PRIMARYKEY": "PRIMARYKEY"}, Size: 64, HasDefaultValue: true, AutoIncrement: true},
		{Name: "CreatedAt", DBName: "created_at", BindNames: []string{"Model", "CreatedAt"}, DataType: schema.Time},
		{Name: "UpdatedAt", DBName: "updated_at", BindNames: []string{"Model", "UpdatedAt"}, DataType: schema.Time},

```Python
id = data.id
```

And with this, the Pydantic *model* is compatible with ORMs, and you can just declare it in the `response_model` argument in your *path operations*.

You will be able to return a database model and it will read the data from it.

#### Technical Details about ORM mode

SQLAlchemy and many others are by default "lazy loading".

              <goal>xpp3-reader</goal>
              <goal>xpp3-writer</goal>
            </goals>
            <configuration>
              <version>1.0.0</version>
              <model>src/main/mdo/archetype-common.mdo</model>
            </configuration>
          </execution>
          <execution>
            <id>archetype-registry</id>
            <goals>
              <goal>java</goal>

    }

    //
    // Taken from LegacyRepositorySystem
    //

    public static org.apache.maven.model.Repository fromSettingsRepository(
            org.apache.maven.settings.Repository settingsRepository) {
        org.apache.maven.model.Repository modelRepository = new org.apache.maven.model.Repository();
        modelRepository.setId(settingsRepository.getId());

import gradlebuild.binarycompatibility.rules.SinceAnnotationMissingRule
import japicmp.model.JApiAnnotation
import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.model.JApiConstructor
import japicmp.model.JApiField
import japicmp.model.JApiMethod
import japicmp.model.JApiParameter
import me.champeau.gradle.japicmp.report.AbstractContextAwareViolationRule

	"gorm.io/gorm/clause"
	"gorm.io/gorm/utils"
)

// Model specify the model you would like to run db operations
//
//	// update all users's name to `hello`
//	db.Model(&User{}).Update("name", "hello")
//	// if user's primary key is non-blank, will use it as condition, then will only update that user's name to `hello`
//	db.Model(&user).Update("name", "hello")
func (db *DB) Model(value interface{}) (tx *DB) {
	tx = db.getInstance()

              <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>

    ```

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

=== "Pydantic v2"

    In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic's docs: Model Config</a>.