{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | 경고

`Field`는 다른 것들처럼 (`Query`, `Path`, `Body` 등) `fastapi`에서가 아닌 `pydantic`에서 바로 임포트 되는 점에 주의하세요.

///

## 모델 어트리뷰트 선언 { #declare-model-attributes }

그 다음 모델 어트리뷰트와 함께 `Field`를 사용할 수 있습니다:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field`는 `Query`, `Path`와 `Body`와 같은 방식으로 동작하며, 모두 같은 매개변수들 등을 가집니다.

/// note | 기술 세부사항

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

/**
 * Describes a build extension to utilise.
 *
 * @deprecated Use {@link org.apache.maven.api.cli.extensions.CoreExtension} instead
 */
@Deprecated
@SuppressWarnings("all")

        @Test
        @DisplayName("should inherit behavior from AbstractUpgradeGoal")
        void shouldInheritBehaviorFromAbstractUpgradeGoal() {
            // This test verifies that Check inherits the model version logic from AbstractUpgradeGoal
            // The actual logic is tested in AbstractUpgradeGoalTest
            // Here we just verify that Check is properly configured as a subclass

# Response Status Code { #response-status-code }

The same way you can specify a response model, you can also declare the HTTP status code used for the response with the parameter `status_code` in any of the *path operations*:

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* etc.

{* ../../docs_src/response_status_code/tutorial001_py310.py hl[6] *}

/// note

Pero si tienes un montón de dataclasses por ahí, este es un buen truco para usarlos para potenciar una API web usando FastAPI. 🤓

///

## Dataclasses en `response_model` { #dataclasses-in-response-model }

También puedes usar `dataclasses` en el parámetro `response_model`:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

El dataclass será automáticamente convertido a un dataclass de Pydantic.

Mas se você tem um monte de dataclasses por aí, este é um truque legal para usá-las para alimentar uma API web usando FastAPI. 🤓

///

## Dataclasses em `response_model` { #dataclasses-in-response-model }

Você também pode usar `dataclasses` no parâmetro `response_model`:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

A dataclass será automaticamente convertida para uma dataclass Pydantic.

* callback hell: callback hell (clarify as `ад обратных вызовов`)
* on the fly: на лету
* scratch the surface: поверхностно ознакомиться
* tip: совет (or `подсказка` depending on context)
* Pydantic model: Pydantic-модель (`модель Pydantic` and `Pydantic модель` are also fine)
* declare: объявить
* have the next best performance, after: быть на следующем месте по производительности после

                            <goal>java</goal>
                        </goals>
                    </execution>
                </executions>
                <configuration>
                    <mainClass>model.FunctionalTestBucketGeneratorKt</mainClass>
                    <classpathScope>test</classpathScope>
                </configuration>
            </plugin>
        </plugins>
    </build>

    <dependencies>

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package model

import java.util.LinkedList

/**
 * Split a list of elements into nearly even sublist. If an element is too large, largeElementSplitFunction will be used to split the large element into several smaller pieces;

///

## Utiliser des dataclasses dans `response_model` { #dataclasses-in-response-model }

Vous pouvez aussi utiliser `dataclasses` dans le paramètre `response_model` :

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

La dataclass sera automatiquement convertie en dataclass Pydantic.