* @return the timeout task for monitoring
     */
    public TimeoutTask startMonitorTask(final JobLog jobLog) {
        final TimeoutTarget target = new MonitorTarget(jobLog);
        return TimeoutManager.getInstance().addTimeoutTarget(target, monitorInterval, true);
    }

    /**
     * Sets the monitor interval for job monitoring.
     *
     * @param monitorInterval the monitor interval in seconds

{* ../../docs_src/handling_errors/tutorial002.py hl[14] *}

## Встановлення власних обробників помилок

Ви можете додати власні обробники помилок за допомогою <a href="https://www.starlette.dev/exceptions/" class="external-link" target="_blank">тих самих утиліт обробки помилок зі Starlette</a>.

Припустимо, у Вас є власний обʼєкт помилки `UnicornException`, яке Ви (або бібліотека, яку Ви використовуєте) може `згенерувати` (`raise`).

td><code>str</code></td><td><strong>필수</strong> (<code>license_info</code>가 설정된 경우). API에 사용된 라이선스 이름입니다.</td></tr><tr><td><code>identifier</code></td><td><code>str</code></td><td>API에 대한 <a href="https://spdx.org/licenses/" class="external-link" target="_blank">SPDX</a> 라이선스 표현입니다. <code>identifier</code> 필드는 <code>url</code> 필드와 상호 배타적입니다. <small>OpenAPI 3.1.0, FastAPI 0.99.0부터 사용 가능</small></td></tr><tr><td><code>url</code></td><td><code>str</code></td><td>API에 사용된 라이선스의 URL입니다. URL 형식이어야 합니다...

                                                        </c:if>
                                                    </c:if></td>
                                                    <td class="text-center">${f:h(data.target)}</td>
                                                    <td>${f:h(data.cronExpression)}</td>
                                                </tr>
                                            </c:forEach>

				// Remove ARN not found queues, because we previously allowed
				// adding unexpected entries into the config.
				//
				// With newer config disallowing changing / turning off
				// notification targets without removing ARN in notification
				// configuration we won't see this problem anymore.
				if reflect.DeepEqual(queue.ARN, arnErr.ARN) && i < len(config.QueueList) {
					config.QueueList = append(config.QueueList[:i],

labels.reading=Lettura
labels.roleTypeIds=ID ruolo
labels.scriptData=Script
labels.scriptResult=Risultato
labels.scriptType=Tipo di esecuzione
labels.segmentation=Segmentazione
labels.startTime=Ora di inizio
labels.target=Target
labels.token=Token
labels.synonymFile=File sinonimi
labels.stopwordsFile=File stopwords
labels.stemmerOverrideFile=File override stemmer
labels.mappingFile=File di mappatura
labels.protwordsFile=File protwords

        } else {
            setupFieldDescsByClass(beanClass);
        }
    }

    /**
     * Prepares the fields defined in the interface.
     *
     * @param interfaceClass
     *            the target interface
     */
    protected void setupFieldDescsByInterface(final Class<?> interfaceClass) {
        addFieldDescs(interfaceClass);
        final Class<?>[] interfaces = interfaceClass.getInterfaces();

# FastAPI全栈模板

模板通常带有特定的设置，而且被设计为灵活和可定制的。这允许您根据项目的需求修改和调整它们，使它们成为一个很好的起点。🏁

您可以使用此模板开始，因为它包含了许多已经为您完成的初始设置、安全性、数据库和一些API端点。

代码仓： <a href="https://github.com/fastapi/full-stack-fastapi-template" class="external-link" target="_blank">Full Stack FastAPI Template</a>

## FastAPI全栈模板 - 技术栈和特性

- ⚡ [**FastAPI**](https://fastapi.tiangolo.com) 用于Python后端API.
    - 🧰 [SQLModel](https://sqlmodel.tiangolo.com) 用于Python和SQL数据库的集成（ORM）。

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

### Import `Depends` { #import-depends }

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[3] *}

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.action.admin.cluster.node.hotthreads.NodesHotThreadsResponse;
import org.opensearch.common.unit.TimeValue;

/**
 * Monitor target for tracking hot threads in the OpenSearch cluster.
 * This class extends MonitorTarget to provide monitoring functionality for
 * hot threads, which helps identify performance bottlenecks and resource