v2.0: 提交当前所有变更,准备创建v2.0标签
7 files added
7 files modified
| | |
| | | "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==", |
| | | "license": "ISC" |
| | | }, |
| | | "node_modules/yaml": { |
| | | "version": "2.8.2", |
| | | "resolved": "https://registry.npmmirror.com/yaml/-/yaml-2.8.2.tgz", |
| | | "integrity": "sha512-mplynKqc1C2hTVYxd0PU2xQAc22TI1vShAYGksCCfxbn/dFwnHTNi1bvYsBTkhdUNtGIf5xNOg938rrSSYvS9A==", |
| | | "license": "ISC", |
| | | "optional": true, |
| | | "peer": true, |
| | | "bin": { |
| | | "yaml": "bin.mjs" |
| | | }, |
| | | "engines": { |
| | | "node": ">= 14.6" |
| | | }, |
| | | "funding": { |
| | | "url": "https://github.com/sponsors/eemeli" |
| | | } |
| | | }, |
| | | "node_modules/yargs": { |
| | | "version": "16.2.0", |
| | | "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz", |
| | |
| | | * @param {Function} props.onRefreshData - 数据刷新回调 |
| | | */ |
| | | const OutboundCallWidget = ({ onSwitchTab, onRefreshData }) => { |
| | | const { caseData } = useCaseData(); |
| | | const { caseData, refreshNodeData } = useCaseData(); |
| | | const [isVisible, setIsVisible] = useState(false); // 默认隐藏 |
| | | const [isMinimized, setIsMinimized] = useState(false); // 默认展开(非最小化) |
| | | const [calls, setCalls] = useState([]); |
| | | const [mediationRecords, setMediationRecords] = useState([]); // AI调解记录 |
| | | const [aiProcessingTasks, setAiProcessingTasks] = useState([]); // AI处理中任务 |
| | | const isMountedRef = useRef(true); |
| | | |
| | | // 轮询间隔(毫秒) |
| | | const POLL_INTERVAL = 10000; // 10秒 |
| | | const POLL_INTERVAL = 2000; // 2秒 |
| | | |
| | | // 节点数据轻量刷新间隔(毫秒)—— 与主轮询对齐,避免节点进度延迟 |
| | | const NODE_REFRESH_INTERVAL = 2000; // 2秒 |
| | | |
| | | // 最大重试次数 |
| | | const MAX_RETRY_COUNT = 10; |
| | |
| | | }; |
| | | |
| | | /** |
| | | * 批量更新通话状态到后端 |
| | | * @param {Array} jobsToUpdate - 需要更新的任务列表 |
| | | * @returns {Promise<boolean>} 是否有成功的更新 |
| | | * [已废弃] 批量更新通话状态到后端 |
| | | * 改造后状态更新由后端回调驱动,前端不再调用 update-status API |
| | | */ |
| | | const updateCallStatusToBackend = async (jobsToUpdate) => { |
| | | if (!jobsToUpdate || jobsToUpdate.length === 0) return false; |
| | | |
| | | try { |
| | | // 并行调用所有任务的更新API |
| | | const results = await Promise.all( |
| | | jobsToUpdate.map(async (job) => { |
| | | try { |
| | | const statusToUpdate = job.backendStatus || job.newStatus; |
| | | if (!statusToUpdate) { |
| | | return { success: false, job }; |
| | | } |
| | | await OutboundBotAPIService.updateCallStatus({ |
| | | jobId: job.jobId, |
| | | callStatus: statusToUpdate |
| | | }); |
| | | console.log(`状态更新成功: ${job.jobId} -> ${statusToUpdate}`); |
| | | return { success: true, job }; |
| | | } catch (err) { |
| | | console.error(`状态更新失败: ${job.jobId}`, err); |
| | | return { success: false, job }; |
| | | } |
| | | }) |
| | | ); |
| | | |
| | | // 检查是否有成功的更新 |
| | | const hasSuccess = results.some(r => r.success); |
| | | return hasSuccess; |
| | | } catch (err) { |
| | | console.error('批量更新状态失败:', err); |
| | | return false; |
| | | } |
| | | }; |
| | | // const updateCallStatusToBackend = async (jobsToUpdate) => { ... 已移除 }; |
| | | |
| | | /** |
| | | * 触发页面更新(刷新数据 + 切换Tab) |
| | | * 触发页面更新(轻量刷新节点数据 + 切换Tab) |
| | | * 不调用 onRefreshData(全量刷新会重复触发外呼/OCR),改用轻量级 refreshNodeData |
| | | */ |
| | | const triggerPageUpdate = useCallback(() => { |
| | | // 刷新案件数据 |
| | | if (onRefreshData) { |
| | | onRefreshData(); |
| | | // 轻量刷新节点数据(仅 timeline + processNodes,不触发外呼等副作用) |
| | | if (refreshNodeData) { |
| | | console.log('[Widget] 终态检测 → 立即轻量刷新节点数据'); |
| | | refreshNodeData(); |
| | | } |
| | | // 切换到AI调解实时看板 |
| | | if (onSwitchTab) { |
| | | onSwitchTab('mediation-board'); |
| | | } |
| | | }, [onRefreshData, onSwitchTab]); |
| | | }, [refreshNodeData, onSwitchTab]); |
| | | |
| | | /** |
| | | * 移除终态或超时的任务 |
| | |
| | | * 查询通话状态 |
| | | */ |
| | | const fetchCallStatus = useCallback(async () => { |
| | | // 从 localStorage 读取任务 |
| | | // ── Step 1: 从后端补充活跃记录(解决后端创建任务前端不知情的问题)── |
| | | if (mediationId) { |
| | | try { |
| | | const backendResp = await OutboundBotAPIService.getActiveRecords({ mediation_id: mediationId }); |
| | | const backendJobs = backendResp?.data || []; |
| | | if (backendJobs.length > 0) { |
| | | const storedRaw = localStorage.getItem(OUTBOUND_JOBS_KEY); |
| | | const storedJobs = storedRaw ? JSON.parse(storedRaw) : []; |
| | | const storedJobIds = new Set(storedJobs.map(j => j.jobId)); |
| | | let changed = false; |
| | | backendJobs.forEach(bj => { |
| | | if (!storedJobIds.has(bj.jobId)) { |
| | | const createTs = bj.createTime ? new Date(bj.createTime).getTime() : Date.now(); |
| | | storedJobs.push({ |
| | | ...bj, |
| | | startTime: createTs, |
| | | pollStartTime: Date.now(), |
| | | retryCount: 0, |
| | | }); |
| | | changed = true; |
| | | console.log('[Widget] 从后端补充活跃外呼任务:', bj.jobId, bj.perTypeName, bj.callStatus); |
| | | } |
| | | }); |
| | | if (changed) { |
| | | localStorage.setItem(OUTBOUND_JOBS_KEY, JSON.stringify(storedJobs)); |
| | | } |
| | | } |
| | | } catch (e) { |
| | | console.warn('[Widget] 从后端获取活跃记录失败:', e); |
| | | } |
| | | } |
| | | |
| | | // ── Step 2: 从 localStorage 读取任务(与原逻辑一致)── |
| | | const storedJobs = loadJobsFromStorage(); |
| | | |
| | | // 分离成功任务和失败任务 |
| | |
| | | // 清理超时任务 |
| | | const cleanedJobs = cleanupJobs(filteredJobs); |
| | | |
| | | // 如果有需要更新到后端的任务,批量调用更新API |
| | | if (jobsNeedBackendUpdate.length > 0) { |
| | | const hasUpdateSuccess = await updateCallStatusToBackend(jobsNeedBackendUpdate); |
| | | |
| | | // 如果有成功的更新,触发页面更新 |
| | | if (hasUpdateSuccess) { |
| | | triggerPageUpdate(); |
| | | } |
| | | // 轮询仅用于 UI 展示,不再调用后端 update-status API |
| | | // 状态更新已由后端回调驱动,前端不再触发推进 |
| | | |
| | | // 如果有终态任务,触发页面更新 |
| | | const hasTerminalJobs = jobsNeedBackendUpdate.length > 0; |
| | | if (hasTerminalJobs) { |
| | | triggerPageUpdate(); |
| | | } |
| | | |
| | | // 保存到 localStorage |
| | |
| | | setIsVisible(true); |
| | | } |
| | | } |
| | | }, [isVisible, triggerPageUpdate]); |
| | | }, [isVisible, triggerPageUpdate, mediationId]); |
| | | |
| | | // 记录上一次 AI 处理任务数,用于检测 "处理中→完成" 变化 |
| | | const prevAiTaskCountRef = useRef(0); |
| | | |
| | | // 轮询 AI 处理状态 |
| | | const fetchAiProcessingStatus = useCallback(async () => { |
| | | if (!mediationId) return; |
| | | try { |
| | | const resp = await OutboundBotAPIService.getAiProcessingStatus({ mediation_id: mediationId }); |
| | | const tasks = resp?.data || []; |
| | | if (isMountedRef.current) { |
| | | const prevCount = prevAiTaskCountRef.current; |
| | | prevAiTaskCountRef.current = tasks.length; |
| | | setAiProcessingTasks(tasks); |
| | | |
| | | // AI 任务从 "有" → "无"(处理完成),立即刷新节点数据以感知新节点推进 |
| | | if (prevCount > 0 && tasks.length === 0) { |
| | | console.log('[Widget] AI处理全部完成 → 立即刷新节点数据'); |
| | | if (refreshNodeData) refreshNodeData(); |
| | | } |
| | | |
| | | // 如果有 AI 处理中任务,确保悬浮窗可见 |
| | | if (tasks.length > 0 && !isVisible) { |
| | | setIsVisible(true); |
| | | } |
| | | } |
| | | } catch (e) { |
| | | // 不影响主流程,静默失败 |
| | | console.warn('[Widget] 查询AI处理状态失败:', e); |
| | | } |
| | | }, [mediationId, isVisible, refreshNodeData]); |
| | | |
| | | // 定时轮询通话状态 |
| | | useEffect(() => { |
| | |
| | | fetchCallStatus(); |
| | | loadMediationRecords(); // 初始加载调解记录 |
| | | |
| | | // AI 处理状态初始加载 |
| | | fetchAiProcessingStatus(); |
| | | |
| | | // 设置轮询定时器(10秒间隔) |
| | | const interval = setInterval(() => { |
| | | fetchCallStatus(); |
| | | loadMediationRecords(); // 每10秒加载一次AI调解记录 |
| | | fetchAiProcessingStatus(); // 每10秒查询AI处理状态 |
| | | }, POLL_INTERVAL); |
| | | |
| | | // 监听外呼任务更新事件(立即刷新) |
| | |
| | | window.removeEventListener('mediation-terminated', handleMediationTerminated); |
| | | isMountedRef.current = false; |
| | | }; |
| | | }, [fetchCallStatus, loadMediationRecords]); |
| | | }, [fetchCallStatus, loadMediationRecords, fetchAiProcessingStatus]); |
| | | |
| | | // 独立定时器:周期性轻量刷新 timeline + processNodes(不依赖闭包变量,避免过期状态问题) |
| | | useEffect(() => { |
| | | const mediationState = caseData?.mediation?.state; |
| | | // 仅在调解进行中时启动周期性刷新 |
| | | if (mediationState !== 1) return; |
| | | |
| | | console.log('[Widget] 启动节点数据周期性轻量刷新,间隔:', NODE_REFRESH_INTERVAL, 'ms'); |
| | | const nodeRefreshTimer = setInterval(() => { |
| | | if (isMountedRef.current && refreshNodeData) { |
| | | console.log('[Widget] 执行节点数据轻量刷新'); |
| | | refreshNodeData(); |
| | | } |
| | | }, NODE_REFRESH_INTERVAL); |
| | | |
| | | return () => clearInterval(nodeRefreshTimer); |
| | | }, [caseData?.mediation?.state, refreshNodeData]); |
| | | |
| | | // 关闭气泡 |
| | | const handleClose = (e) => { |
| | |
| | | return true; |
| | | }); |
| | | |
| | | // 如果没有活跃任务且不可见,不渲染任何内容 |
| | | if (activeCalls.length === 0 && !isVisible) { |
| | | // 如果没有活跃任务且没有AI处理中任务且不可见,不渲染任何内容 |
| | | if (activeCalls.length === 0 && aiProcessingTasks.length === 0 && !isVisible) { |
| | | return null; |
| | | } |
| | | |
| | |
| | | color: 'white', |
| | | }} |
| | | /> |
| | | {/* 红点提示有通话 */} |
| | | {activeCalls.length > 0 && ( |
| | | {/* 红点提示有通话或AI处理中 */} |
| | | {(activeCalls.length + aiProcessingTasks.length) > 0 && ( |
| | | <div |
| | | style={{ |
| | | position: 'absolute', |
| | |
| | | width: 16, |
| | | height: 16, |
| | | borderRadius: '50%', |
| | | background: '#ff4d4f', |
| | | background: aiProcessingTasks.length > 0 ? '#722ED1' : '#ff4d4f', |
| | | display: 'flex', |
| | | alignItems: 'center', |
| | | justifyContent: 'center', |
| | |
| | | fontWeight: 'bold', |
| | | }} |
| | | > |
| | | {activeCalls.length} |
| | | {activeCalls.length + aiProcessingTasks.length} |
| | | </div> |
| | | )} |
| | | </div> |
| | |
| | | </div> |
| | | ))} |
| | | |
| | | {/* AI 处理中加载态卡片 */} |
| | | {aiProcessingTasks.map((task, index) => ( |
| | | <div |
| | | key={`ai-${task.jobId || index}`} |
| | | style={{ |
| | | background: 'linear-gradient(135deg, #722ED1 0%, #531DAB 100%)', |
| | | borderRadius: 12, |
| | | padding: '16px 20px', |
| | | color: 'white', |
| | | boxShadow: '0 4px 16px rgba(114, 46, 209, 0.3)', |
| | | position: 'relative', |
| | | minWidth: 280, |
| | | }} |
| | | > |
| | | {/* 头部 - AI 分析中 */} |
| | | <div |
| | | style={{ |
| | | display: 'flex', |
| | | alignItems: 'center', |
| | | gap: 10, |
| | | marginBottom: 12, |
| | | }} |
| | | > |
| | | <div |
| | | style={{ |
| | | width: 36, |
| | | height: 36, |
| | | borderRadius: '50%', |
| | | background: 'rgba(255,255,255,0.2)', |
| | | display: 'flex', |
| | | alignItems: 'center', |
| | | justifyContent: 'center', |
| | | }} |
| | | > |
| | | <i className="fas fa-brain" style={{ fontSize: 18, animation: 'pulse 1.5s infinite' }} /> |
| | | </div> |
| | | <div style={{ flex: 1 }}> |
| | | <div |
| | | style={{ |
| | | fontSize: 16, |
| | | fontWeight: 600, |
| | | display: 'flex', |
| | | alignItems: 'center', |
| | | gap: 8, |
| | | }} |
| | | > |
| | | AI 分析中 |
| | | <span |
| | | style={{ |
| | | width: 8, |
| | | height: 8, |
| | | borderRadius: '50%', |
| | | background: '#B37FEB', |
| | | animation: 'pulse 1.5s infinite', |
| | | }} |
| | | /> |
| | | </div> |
| | | </div> |
| | | </div> |
| | | |
| | | {/* 分析信息 */} |
| | | <div style={{ marginBottom: 10 }}> |
| | | <div style={{ fontSize: 14, opacity: 0.95, lineHeight: 1.6 }}> |
| | | <span>{task.personName || '当事人'} 通话分析</span> |
| | | </div> |
| | | <div style={{ fontSize: 12, opacity: 0.75, marginTop: 6, display: 'flex', flexDirection: 'column', gap: 4 }}> |
| | | {(task.steps || []).includes('summary') && ( |
| | | <div style={{ display: 'flex', alignItems: 'center', gap: 6 }}> |
| | | <i className="fas fa-file-alt" style={{ fontSize: 11 }} /> |
| | | <span>对话总结生成中...</span> |
| | | </div> |
| | | )} |
| | | {(task.steps || []).includes('emotion') && ( |
| | | <div style={{ display: 'flex', alignItems: 'center', gap: 6 }}> |
| | | <i className="fas fa-heart" style={{ fontSize: 11 }} /> |
| | | <span>情绪识别中...</span> |
| | | </div> |
| | | )} |
| | | {(task.steps || []).includes('success_rate') && ( |
| | | <div style={{ display: 'flex', alignItems: 'center', gap: 6 }}> |
| | | <i className="fas fa-chart-line" style={{ fontSize: 11 }} /> |
| | | <span>成功率评估中...</span> |
| | | </div> |
| | | )} |
| | | </div> |
| | | </div> |
| | | </div> |
| | | ))} |
| | | |
| | | {/* 无通话时的占位提示 */} |
| | | {activeCalls.length === 0 && isVisible && ( |
| | | {activeCalls.length === 0 && aiProcessingTasks.length === 0 && isVisible && ( |
| | | <div |
| | | style={{ |
| | | background: 'linear-gradient(135deg, #1A6FB8 0%, #0d4a8a 100%)', |
| | |
| | | import React, { useState, useEffect, forwardRef, useImperativeHandle } from 'react'; |
| | | import React, { useState, useEffect, useCallback, useRef, forwardRef, useImperativeHandle } from 'react'; |
| | | import { useCaseData } from '../../contexts/CaseDataContext'; |
| | | import { formatDuration, formatSuccessRate } from '../../utils/stateTranslator'; |
| | | import ProcessAPIService from '../../services/ProcessAPIService'; |
| | |
| | | })); |
| | | }; |
| | | |
| | | // 获取调解记录数据 |
| | | const loadMediationRecords = async () => { |
| | | setLoading(true); |
| | | // 看板轮询间隔(毫秒) |
| | | const BOARD_POLL_INTERVAL = 5000; // 5秒 |
| | | const isBoardMountedRef = useRef(true); |
| | | |
| | | // 获取调解记录数据(首次加载带 loading,后续静默刷新) |
| | | const loadMediationRecords = useCallback(async (silent = false) => { |
| | | if (!silent) { |
| | | setLoading(true); |
| | | } |
| | | setError(null); |
| | | |
| | | try { |
| | | // 从timeline中获取mediation_id |
| | | const mediationId = timeline.mediation?.id; |
| | | if (!mediationId) { |
| | | throw new Error('未找到调解ID'); |
| | | if (!silent) throw new Error('未找到调解ID'); |
| | | return; |
| | | } |
| | | |
| | | // 调用API获取记录列表 |
| | |
| | | |
| | | // 格式化数据 |
| | | const formattedRecords = formatRecordData(response.data || []); |
| | | setRecords(formattedRecords); |
| | | if (isBoardMountedRef.current) { |
| | | setRecords(formattedRecords); |
| | | } |
| | | |
| | | } catch (err) { |
| | | setError(err.message); |
| | | console.error('获取调解记录失败:', err); |
| | | message.error(`获取调解记录失败: ${err.message}`); |
| | | if (!silent) { |
| | | setError(err.message); |
| | | console.error('获取调解记录失败:', err); |
| | | message.error(`获取调解记录失败: ${err.message}`); |
| | | } else { |
| | | console.warn('[MediationBoard] 静默刷新失败:', err.message); |
| | | } |
| | | } finally { |
| | | setLoading(false); |
| | | if (!silent) { |
| | | setLoading(false); |
| | | } |
| | | } |
| | | }; |
| | | }, [timeline.mediation?.id]); |
| | | |
| | | // 监听Tab切换 |
| | | // Tab激活时:首次加载 + 启动周期性轮询 |
| | | useEffect(() => { |
| | | isBoardMountedRef.current = true; |
| | | |
| | | if (activeTab === 'mediation-board') { |
| | | loadMediationRecords(); |
| | | // 首次加载(带 loading 效果) |
| | | loadMediationRecords(false); |
| | | |
| | | // 周期性静默刷新(不显示 loading) |
| | | const pollTimer = setInterval(() => { |
| | | if (isBoardMountedRef.current) { |
| | | loadMediationRecords(true); |
| | | } |
| | | }, BOARD_POLL_INTERVAL); |
| | | |
| | | console.log('[MediationBoard] 启动周期轮询,间隔:', BOARD_POLL_INTERVAL, 'ms'); |
| | | |
| | | return () => { |
| | | clearInterval(pollTimer); |
| | | isBoardMountedRef.current = false; |
| | | }; |
| | | } |
| | | }, [activeTab]); |
| | | |
| | | return () => { isBoardMountedRef.current = false; }; |
| | | }, [activeTab, loadMediationRecords]); |
| | | |
| | | // 如果还在加载中,显示Loading状态 |
| | | if (loading) { |
| | |
| | | }; |
| | | |
| | | // 当前环境,默认为SIT测试环境 |
| | | const CURRENT_ENV = process.env.REACT_APP_ENV || ENV_TYPES.SIT; |
| | | const CURRENT_ENV = process.env.REACT_APP_ENV || ENV_TYPES.DEV; |
| | | |
| | | // 环境配置映射 |
| | | const ENV_CONFIG = { |
| | |
| | | }; |
| | | |
| | | /** |
| | | * 触发智能外呼 |
| | | * [已废弃] 触发智能外呼(前端直接调用) |
| | | * 改造后由后端 /trigger API 驱动,前端不再直接发起外呼 |
| | | */ |
| | | |
| | | /** |
| | | * 触发后端外呼(通过 MQ 异步处理) |
| | | * @param {Object} timeline - 案件时间线数据 |
| | | */ |
| | | const triggerOutboundCall = async (timeline) => { |
| | |
| | | console.warn('调解状态已结束,mediation.state:', state); |
| | | return; |
| | | } |
| | | // 检查是否已有活跃任务,如有则跳过 |
| | | if (hasActiveOutboundJobs()) { |
| | | console.log('检测到活跃外呼任务,跳过发起新外呼'); |
| | | return; |
| | | } |
| | | |
| | | const mediationId = timeline.id; |
| | | const caseId = timeline.case_id; |
| | |
| | | return; |
| | | } |
| | | |
| | | console.log('发起智能外呼,mediationId:', mediationId, ', caseId:', caseId); |
| | | console.log('触发后端外呼,mediationId:', mediationId, ', caseId:', caseId); |
| | | |
| | | // 调用外呼API |
| | | const response = await OutboundBotAPIService.makeCallV2({ |
| | | // 调用后端 /trigger API(由后端校验状态 + 防重复 + MQ 异步处理) |
| | | const response = await OutboundBotAPIService.triggerOutbound({ |
| | | mediationId: String(mediationId), |
| | | caseId: String(caseId), |
| | | callAuto: 0, |
| | | callPersonId: '' |
| | | }); |
| | | |
| | | // 处理响应 |
| | | if (response?.data && Array.isArray(response.data)) { |
| | | const successJobs = []; |
| | | const failedJobs = []; |
| | | |
| | | // 分类成功和失败的记录 |
| | | response.data.forEach(item => { |
| | | if (item.errorCode === 0 && item.jobId) { |
| | | successJobs.push({ |
| | | jobId: item.jobId, |
| | | callStatus: item.callStatus || 'Scheduling', |
| | | personId: item.personId, |
| | | mediationId: item.mediationId, |
| | | caseId: String(caseId), // 添加 caseId 字段用于轮询 |
| | | perTypeName: item.perTypeName || '', // 当事人类型名称(申请方当事人/被申请方当事人) |
| | | perClassName: item.perClassName || '', // 添加人员类型名称 |
| | | trueName: item.trueName || '', // 添加真实姓名 |
| | | startTime: item.createTime || item.createdTime || item.start_time, // 兼容 createTime 和 createdTime |
| | | pollStartTime: Date.now(), |
| | | retryCount: 0 |
| | | }); |
| | | } else if (item.errorCode > 0) { |
| | | failedJobs.push({ |
| | | personId: item.personId, |
| | | message: item.message || '未知错误', |
| | | perTypeName: item.perTypeName || '', // 当事人类型名称(申请方当事人/被申请方当事人) |
| | | perClassName: item.perClassName || '', // 添加人员类型名称 |
| | | trueName: item.trueName || '', // 添加真实姓名 |
| | | errorCode: item.errorCode, // 添加错误码 |
| | | startTime: new Date(item.startTime || item.start_time).getTime() // 转换为时间戳 |
| | | }); |
| | | } |
| | | }); |
| | | |
| | | // 存储成功的任务到 localStorage |
| | | if (successJobs.length > 0) { |
| | | // 新任务发起时,先清除所有旧的成功任务(替换而不是追加) |
| | | localStorage.setItem(OUTBOUND_JOBS_KEY, JSON.stringify(successJobs)); |
| | | console.log('存储外呼任务成功,数量:', successJobs.length); |
| | | |
| | | // 外呼成功后,清除所有失败记录(新任务开始时应清空旧记录) |
| | | localStorage.removeItem(`${OUTBOUND_JOBS_KEY}_failed`); |
| | | console.log('外呼成功后清除所有失败记录'); |
| | | |
| | | // 触发自定义事件,通知 OutboundCallWidget 组件立即刷新 |
| | | setTimeout(() => { |
| | | window.dispatchEvent(new CustomEvent('outbound-jobs-updated')); |
| | | }, 300); |
| | | } |
| | | |
| | | // 存储失败的任务到 localStorage(用于气泡显示) |
| | | if (failedJobs.length > 0) { |
| | | console.log('准备存储失败任务:', failedJobs); |
| | | // 读取现有的失败任务 |
| | | const storedFailedJobs = JSON.parse(localStorage.getItem(`${OUTBOUND_JOBS_KEY}_failed`) || '[]'); |
| | | |
| | | // 去重:按 personId 去重,保留最新的错误信息 |
| | | const uniqueFailedJobs = [...storedFailedJobs]; |
| | | failedJobs.forEach(newJob => { |
| | | const existingIndex = uniqueFailedJobs.findIndex(job => job.personId === newJob.personId); |
| | | if (existingIndex >= 0) { |
| | | // 更新已存在的失败任务 |
| | | uniqueFailedJobs[existingIndex] = newJob; |
| | | } else { |
| | | // 添加新的失败任务 |
| | | uniqueFailedJobs.push(newJob); |
| | | } |
| | | }); |
| | | |
| | | // 清理超过24小时的失败任务 |
| | | const now = Date.now(); |
| | | const cleanedFailedJobs = uniqueFailedJobs.filter(job => { |
| | | return (now - job.startTime) < 24 * 60 * 60 * 1000; // 24小时 |
| | | }); |
| | | |
| | | localStorage.setItem(`${OUTBOUND_JOBS_KEY}_failed`, JSON.stringify(cleanedFailedJobs)); |
| | | console.log('存储外呼失败任务,数量:', cleanedFailedJobs.length); |
| | | } |
| | | |
| | | // 提示失败的任务 |
| | | if (failedJobs.length > 0) { |
| | | const failedMsg = failedJobs |
| | | .map(job => `${job.personId}(${job.message})`) |
| | | .join('、'); |
| | | message.warning(`部分联系人外呼失败:${failedMsg}`); |
| | | console.warn('部分外呼失败:', failedJobs); |
| | | if (response?.data) { |
| | | console.log('后端外呼触发结果:', response.data); |
| | | if (response.data.queued) { |
| | | console.log('外呼任务已提交到队列,等待后端处理'); |
| | | } |
| | | } |
| | | } catch (err) { |
| | | console.error('智能外呼发起失败:', err); |
| | | message.error('智能外呼发起失败,请检查网络后重试'); |
| | | console.error('后端外呼触发失败:', err); |
| | | // 不显示错误提示,后端已有降级处理 |
| | | } |
| | | }; |
| | | |
| | |
| | | }; |
| | | |
| | | /** |
| | | * 刷新数据(强制从API获取) |
| | | * 刷新数据(强制从API获取,含全部副作用) |
| | | */ |
| | | const refreshData = () => { |
| | | loadCaseData(true); |
| | | }; |
| | | |
| | | /** |
| | | * 轻量级刷新:仅更新 timeline + processNodes,不触发外呼/OCR等副作用 |
| | | * 适用于周期性轮询场景,避免重复触发外呼任务 |
| | | */ |
| | | const refreshNodeData = async () => { |
| | | try { |
| | | const params = getMergedParams(); |
| | | if (!params.caseId) return; |
| | | |
| | | const response = await ProcessAPIService.getCaseProcessInfo( |
| | | params.caseId, |
| | | { |
| | | caseTypeFirst: params.caseTypeFirst, |
| | | platform_code: params.platform_code, |
| | | authorization: params.auth_token || params.authorization || '' |
| | | } |
| | | ); |
| | | |
| | | const timelineData = response.timeline || response.data?.timeline || response; |
| | | const nodesData = response.data?.nodeList || response.data?.nodes || response.nodes || []; |
| | | |
| | | // 仅更新数据状态,不触发任何副作用 |
| | | setCaseData(timelineData); |
| | | setProcessNodes(Array.isArray(nodesData) ? nodesData : []); |
| | | console.log('[refreshNodeData] 轻量刷新完成, current_node:', timelineData.current_node?.node_name); |
| | | } catch (err) { |
| | | console.warn('[refreshNodeData] 轻量刷新失败:', err); |
| | | } |
| | | }; |
| | | |
| | | // 防止重复加载的引用标识 |
| | |
| | | loading, |
| | | error, |
| | | refreshData, |
| | | refreshNodeData, // 轻量级刷新(仅 timeline + nodes) |
| | | loadCaseData, |
| | | taskStartTime, // 任务开始时间 |
| | | isTaskTimeFallback, // 是否降级模式 |
| | |
| | | } |
| | | |
| | | /** |
| | | * 触发外呼任务(后端驱动,MQ异步处理) |
| | | * POST /api/v1/outbound-bot/trigger |
| | | * @param {Object} data - 请求数据 |
| | | * @param {string} data.mediationId - 调解反馈表ID |
| | | * @param {string} data.caseId - 案件ID |
| | | * @param {number} data.callAuto - 呼叫模式 (0:自动, 1:手动) |
| | | * @param {string} data.callPersonId - 手动模式指定当事人ID |
| | | * @returns {Promise} 触发结果 |
| | | */ |
| | | static triggerOutbound(data = {}) { |
| | | return request.post('/api/v1/outbound-bot/trigger', data); |
| | | } |
| | | |
| | | /** |
| | | * 获取当前节点活跃外呼记录(后端驱动模式下补充 localStorage) |
| | | * GET /api/v1/outbound-bot/active-records |
| | | * @param {Object} params |
| | | * @param {string} params.mediationId - 调解反馈表ID |
| | | * @returns {Promise} 活跃外呼记录列表 |
| | | */ |
| | | static getActiveRecords(params = {}) { |
| | | return request.get('/api/v1/outbound-bot/active-records', params); |
| | | } |
| | | |
| | | /** |
| | | * 更新呼叫状态 |
| | | * [已废弃] 状态更新现由后端回调驱动,前端不再调用 |
| | | * POST /api/v1/outbound-bot/update-status |
| | | * @param {Object} data - 请求数据 |
| | | * @param {string} data.jobId - 工作ID |
| | |
| | | } |
| | | |
| | | /** |
| | | * 查询AI处理状态(摘要生成/情绪识别是否进行中) |
| | | * GET /api/v1/outbound-bot/ai-processing-status |
| | | * @param {Object} params |
| | | * @param {string} params.mediation_id - 调解反馈表ID |
| | | * @returns {Promise} AI处理状态列表 |
| | | */ |
| | | static getAiProcessingStatus(params = {}) { |
| | | return request.get('/api/v1/outbound-bot/ai-processing-status', params); |
| | | } |
| | | |
| | | /** |
| | | * 获取通话录音文件 |
| | | * GET /api/v1/outbound-bot/file-play |
| | | * @param {string} recordUrl - 录音文件相对路径 |
| | |
| | | resolved "https://registry.npmmirror.com/yaml/-/yaml-1.10.2.tgz" |
| | | integrity sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg== |
| | | |
| | | yaml@^2.4.2: |
| | | version "2.8.2" |
| | | resolved "https://registry.npmmirror.com/yaml/-/yaml-2.8.2.tgz" |
| | | integrity sha512-mplynKqc1C2hTVYxd0PU2xQAc22TI1vShAYGksCCfxbn/dFwnHTNi1bvYsBTkhdUNtGIf5xNOg938rrSSYvS9A== |
| | | |
| | | yargs-parser@^20.2.2: |
| | | version "20.2.9" |
| | | resolved "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz" |