"language-java",
          "language-jvm",
          "language-native",
          "launcher",
          "logging",
          "maven",
          "messaging",
          "model-core",
          "model-groovy",
          "persistent-cache",
          "platform-base",
          "platform-jvm",
          "platform-native",
          "plugin-development",
          "plugin-use",

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

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

In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.

		}
	}

	r = dryDB.Table("(?) as u", DB.Model(&User{}).Select("name")).Find(&User{}).Statement
	if !regexp.MustCompile("SELECT \\* FROM \\(SELECT .name. FROM .users. WHERE .users.\\..deleted_at. IS NULL\\) as u WHERE .u.\\..deleted_at. IS NULL").MatchString(r.Statement.SQL.String()) {
		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())
	}

Por supuesto, probablemente encontrarás formas mucho mejores de aprovechar esto que formatear JSON. 😉

### `orjson` o Response Model { #orjson-or-response-model }

Si lo que buscas es rendimiento, probablemente te convenga más usar un [Response Model](../tutorial/response-model.md) que un response con `orjson`.

import java.util.List;
import java.util.Map;
import java.util.Properties;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblem;
import org.apache.maven.model.profile.DefaultProfileActivationContext;
import org.apache.maven.model.profile.ProfileSelector;
import org.apache.maven.profiles.activation.ProfileActivationException;

 * limitations under the License.
 */


@file:JvmName("JapicmpExtensions")

package gradlebuild.binarycompatibility

import japicmp.model.JApiBehavior
import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.model.JApiField


internal
val JApiCompatibility.jApiClass: JApiClass
    get() = when (this) {
        is JApiClass -> this

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.building;

import org.apache.maven.model.io.ModelReader;
import org.apache.maven.model.locator.ModelLocator;

/**
 * ModelProcessor
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

 * <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

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

Si chaque élément JSON que vous voulez renvoyer est de type `Item` (un modèle Pydantic) et que c'est une fonction async, vous pouvez déclarer le type de retour comme `AsyncIterable[Item]` :

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}