Und dann validieren wir diese Daten mit dem Pydantic-Modell (wobei wir die `ValidationError`-Exception abfangen), und wenn wir beim Lesen des JWT-Tokens oder beim Validieren der Daten mit Pydantic einen Fehler erhalten, lösen wir die zuvor erstellte `HTTPException` aus.

Dazu aktualisieren wir das Pydantic-Modell `TokenData` mit einem neuen Attribut `scopes`.

import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.ConcurrentHashMap;
import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.apache.maven.api.model.Model;
import org.apache.maven.api.services.Lookup;
import org.apache.maven.eventspy.EventSpy;
import org.apache.maven.execution.ExecutionEvent;
import org.apache.maven.execution.MavenSession;

 * under the License.
 */
package org.apache.maven.lifecycle;

import java.util.List;
import java.util.Set;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Plugin;
import org.apache.maven.plugin.InvalidPluginDescriptorException;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.MojoNotFoundException;

首先，你需要匯入它：

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


/// warning

請注意，`Field` 是直接從 `pydantic` 匯入的，不像其他（如 `Query`、`Path`、`Body` 等）是從 `fastapi` 匯入。

///

## 宣告模型屬性 { #declare-model-attributes }

接著你可以在模型屬性上使用 `Field`：

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

`Field` 的用法與 `Query`、`Path`、`Body` 相同，擁有相同的參數等。

/// note | 技術細節

{* ../../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.