refactor: enforce 800 line source limits
This commit is contained in:
caoxiaozhu
371
web/src/composables/workbenchAiMode/useWorkbenchAiStewardFlow.js
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371
web/src/composables/workbenchAiMode/useWorkbenchAiStewardFlow.js
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import {
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fetchStewardPlan,
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fetchStewardPlanStream
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} from '../../services/steward.js'
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import { fetchExpenseClaims } from '../../services/reimbursements.js'
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import {
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buildStewardPlanMessageText,
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buildStewardPlanRequest,
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buildStewardSuggestedActions,
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normalizeStewardPlan
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} from '../../views/scripts/stewardPlanModel.js'
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import {
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buildRequiredApplicationActions,
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buildRequiredApplicationMissingText,
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buildRequiredApplicationSelectionText,
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filterRequiredApplicationCandidates
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} from '../../views/scripts/travelReimbursementApplicationLinkModel.js'
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function shouldCheckAiRequiredApplicationGate(prompt) {
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const compact = String(prompt || '').replace(/\s+/g, '')
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if (!compact || !/(出差|差旅|部署|实施|支撑|支持|协助|拜访|调研|驻场|上线|验收)/.test(compact)) {
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return false
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}
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if (!/\d{1,2}月\d{1,2}|昨天|前天|上周|上月/.test(compact)) {
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return false
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}
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return !/(申请|报销|草稿|提交|审批|保存|发起|创建)/.test(compact)
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}
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function serializeRequiredApplicationCandidate(candidate = {}) {
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return {
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id: String(candidate.id || '').trim(),
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claim_no: String(candidate.claim_no || '').trim(),
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reason: String(candidate.reason || '').trim(),
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location: String(candidate.location || '').trim(),
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business_time: String(candidate.business_time || '').trim(),
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status_label: String(candidate.status_label || '').trim()
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}
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}
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function resolveRequiredApplicationGateContinuationFlow(normalizedPlan) {
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if (String(normalizedPlan?.pendingFlowConfirmation?.status || '').trim() !== 'pending') {
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return null
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}
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const flows = Array.isArray(normalizedPlan?.candidateFlows) ? normalizedPlan.candidateFlows : []
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const applicationFlow = flows.find((flow) => flow.flowId === 'travel_application')
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if (flows.length === 1 && applicationFlow && /先发起出差申请/.test(applicationFlow.label)) {
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return applicationFlow
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}
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return flows.find((flow) => (
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flow.flowId === 'travel_reimbursement' &&
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/关联已有申请单/.test(flow.label)
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)) || null
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}
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function buildAiRequiredApplicationGateAutoMessage(normalizedPlan, flow) {
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const baseText = buildStewardPlanMessageText({
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planStatus: normalizedPlan?.planStatus,
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nextAction: normalizedPlan?.nextAction,
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summary: normalizedPlan?.summary,
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pendingFlowConfirmation: normalizedPlan?.pendingFlowConfirmation,
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candidateFlows: normalizedPlan?.candidateFlows
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})
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const contextText = String(baseText || '')
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.split(/\n\n1\. \*\*/)[0]
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.trim()
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.replace('### 需要先确认流程方向', '### 我已先查询申请单')
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if (flow?.flowId === 'travel_application') {
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return [
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contextText || baseText,
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'这类操作需要你手动确认。请点击下方 **确认发起出差申请**，我再在当前对话里生成完整申请表，并把已识别的信息自动预填。'
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].filter(Boolean).join('\n\n')
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}
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if (flow?.flowId === 'travel_reimbursement') {
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return [
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contextText || baseText,
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'这类操作需要你手动确认。请点击下方 **确认关联已有申请单**，我再继续查询并展示可关联单据。'
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].filter(Boolean).join('\n\n')
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}
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return baseText
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}
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function buildAiRequiredApplicationGateSuggestedActions(flow, prompt = '') {
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if (flow.flowId === 'travel_application') {
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return [{
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label: '确认发起出差申请',
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description: '确认后生成完整申请表，并预填已识别的时间、地点和事由。',
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icon: 'mdi mdi-file-plus-outline',
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action_type: 'ai_application_start_inline',
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payload: {
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expense_type: 'travel',
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expense_type_label: '差旅费',
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carry_text: prompt
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}
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}]
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}
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if (flow.flowId === 'travel_reimbursement') {
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return [{
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label: '确认关联已有申请单',
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description: '确认后查询你名下可关联的差旅申请单，并进入关联步骤。',
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icon: 'mdi mdi-link-variant',
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action_type: 'steward_confirm_flow',
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payload: {
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steward_confirm_flow: true,
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flow_id: 'travel_reimbursement',
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expense_type: 'travel',
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expense_type_label: '差旅费',
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carry_text: prompt
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}
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}]
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}
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return []
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}
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function normalizeStreamThinkingEvent(event = {}) {
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const data = event?.data && typeof event.data === 'object' ? event.data : {}
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const eventId = String(data.event_id || data.eventId || data.stage || `thinking-${Date.now()}`).trim()
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return {
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eventId,
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stage: String(data.stage || '').trim(),
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title: String(data.title || '小财管家正在分析').trim(),
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content: String(data.content || '').trim(),
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status: String(data.status || 'running').trim() || 'running'
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}
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}
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export function useWorkbenchAiStewardFlow({
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activeConversationTitle,
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collectAiModeReceiptContext,
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conversationId,
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conversationMessages,
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createInlineMessage,
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currentUser,
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deleteAiWorkbenchConversation,
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emit,
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handleAiDocumentQueryIntent,
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inlineConversationAutoScrollPinned,
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persistCurrentConversation,
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replaceInlineMessage,
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resolveInlineThinkingEvents,
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scrollInlineConversationToBottom,
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sending,
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stewardState,
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streamInlineAssistantContent,
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updateInlineMessageContent,
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appendInlineMessageContent,
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toast
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}) {
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async function attachAiRequiredApplicationGate(planRequest, prompt) {
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if (!shouldCheckAiRequiredApplicationGate(prompt)) {
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return planRequest
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}
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try {
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const claims = await fetchExpenseClaims()
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const candidates = filterRequiredApplicationCandidates(claims, 'travel', currentUser.value || {})
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planRequest.context_json = {
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...(planRequest.context_json || {}),
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required_application_gate: {
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...((planRequest.context_json || {}).required_application_gate || {}),
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travel: {
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checked: true,
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candidate_count: candidates.length,
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candidates: candidates.slice(0, 5).map((candidate) => serializeRequiredApplicationCandidate(candidate))
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}
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}
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}
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} catch (error) {
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console.warn('AI mode required application lookup failed:', error)
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planRequest.context_json = {
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...(planRequest.context_json || {}),
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required_application_gate: {
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...((planRequest.context_json || {}).required_application_gate || {}),
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travel: {
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checked: false,
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query_failed: true
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}
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}
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}
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}
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return planRequest
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}
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function handleInlineStewardStreamEvent(messageId, event) {
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const message = conversationMessages.value.find((item) => item.id === messageId)
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if (!message) {
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return
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}
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if (event?.event === 'answer_delta') {
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const data = event?.data && typeof event.data === 'object' ? event.data : {}
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const shouldAutoScroll = inlineConversationAutoScrollPinned.value
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appendInlineMessageContent(message, data.delta || data.content || data.text || '')
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message.stewardPlan = {
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...(message.stewardPlan || {}),
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streamStatus: 'streaming'
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}
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scrollInlineConversationToBottom({ force: shouldAutoScroll })
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return
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}
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if (event?.event !== 'thinking') {
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return
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}
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const nextEvent = normalizeStreamThinkingEvent(event)
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const shouldAutoScroll = inlineConversationAutoScrollPinned.value
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const currentPlan = message.stewardPlan || {}
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const currentEvents = Array.isArray(currentPlan.thinkingEvents) ? currentPlan.thinkingEvents : []
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const eventIndex = currentEvents.findIndex((item) => item.eventId && item.eventId === nextEvent.eventId)
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const nextEvents = eventIndex >= 0
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? currentEvents.map((item, index) => (index === eventIndex ? { ...item, ...nextEvent } : item))
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: [...currentEvents, nextEvent]
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message.stewardPlan = {
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...currentPlan,
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thinkingEvents: nextEvents,
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streamStatus: 'streaming'
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}
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scrollInlineConversationToBottom({ force: shouldAutoScroll })
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}
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async function fetchInlineStewardPlan(messageId, payload) {
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try {
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return await fetchStewardPlanStream(
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payload,
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{
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onEvent: (event) => handleInlineStewardStreamEvent(messageId, event)
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},
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{
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idleTimeoutMs: 90000,
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timeoutMessage: '小财管家仍在规划任务，已停止等待。你可以稍后继续追问。'
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}
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)
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} catch (error) {
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if (String(error?.message || '').includes('流式服务')) {
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return fetchStewardPlan(payload, {
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timeoutMs: 75000,
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timeoutMessage: '小财管家仍在规划任务，已停止等待。你可以稍后继续追问。'
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})
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}
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throw error
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}
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}
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async function requestInlineAssistantReply(prompt, entry = {}, files = []) {
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let shouldAutoScrollOnFinish = true
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const pendingMessage = createInlineMessage('assistant', '', {
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pending: true,
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stewardPlan: {
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streamStatus: 'streaming',
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thinkingEvents: [
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{
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eventId: 'init',
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title: '小财管家正在接入业务流程',
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content: '正在识别你的意图、上下文和附件信息。',
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status: 'running'
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}
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]
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}
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})
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conversationMessages.value.push(pendingMessage)
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scrollInlineConversationToBottom()
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try {
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if (await handleAiDocumentQueryIntent(prompt, pendingMessage)) {
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shouldAutoScrollOnFinish = inlineConversationAutoScrollPinned.value
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return
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}
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const receiptContext = await collectAiModeReceiptContext(files)
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const planRequest = buildStewardPlanRequest({
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rawText: prompt,
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files,
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currentUser: currentUser.value || {},
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conversationId: conversationId.value,
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stewardState: stewardState.value
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})
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planRequest.context_json = {
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...planRequest.context_json,
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entry_source: 'workbench_ai_inline',
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source: entry.source || 'workbench',
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attachment_names: receiptContext.attachmentNames,
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attachment_count: receiptContext.attachmentCount,
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ocr_summary: receiptContext.ocrSummary,
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ocr_documents: receiptContext.ocrDocuments,
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ocr_source_file_names: receiptContext.ocrSourceFileNames,
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...(receiptContext.ocrError ? { ocr_error: receiptContext.ocrError } : {})
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}
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await attachAiRequiredApplicationGate(planRequest, prompt)
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const plan = await fetchInlineStewardPlan(pendingMessage.id, planRequest)
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const normalizedPlan = normalizeStewardPlan(plan, {
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visibleThinkingEventCount: Number.MAX_SAFE_INTEGER,
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initialSummaryOnly: true
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})
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const previousThinkingEvents = resolveInlineThinkingEvents(pendingMessage)
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const nextThinkingEvents = normalizedPlan.thinkingEvents.length
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? normalizedPlan.thinkingEvents
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: previousThinkingEvents.map((item) => ({ ...item, status: 'completed' }))
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const previousConversationId = conversationId.value
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const nextConversationId = String(normalizedPlan.conversationId || '').trim()
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if (nextConversationId) {
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conversationId.value = nextConversationId
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emit('conversation-change', { id: conversationId.value, title: activeConversationTitle.value })
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if (previousConversationId && previousConversationId !== nextConversationId) {
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deleteAiWorkbenchConversation(currentUser.value || {}, previousConversationId)
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}
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}
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if (normalizedPlan.stewardState) {
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stewardState.value = normalizedPlan.stewardState
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}
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const requiredApplicationContinuationFlow = resolveRequiredApplicationGateContinuationFlow(normalizedPlan)
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const finalMessageText = requiredApplicationContinuationFlow
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? buildAiRequiredApplicationGateAutoMessage(normalizedPlan, requiredApplicationContinuationFlow)
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: buildStewardPlanMessageText(plan)
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const hasServerStreamedContent = Boolean(String(pendingMessage.content || '').trim())
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if (!hasServerStreamedContent) {
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await streamInlineAssistantContent(pendingMessage.id, finalMessageText)
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}
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shouldAutoScrollOnFinish = inlineConversationAutoScrollPinned.value
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replaceInlineMessage(
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pendingMessage.id,
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createInlineMessage('assistant', finalMessageText, {
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id: pendingMessage.id,
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stewardPlan: {
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...normalizedPlan,
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thinkingEvents: nextThinkingEvents,
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streamStatus: 'completed'
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},
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suggestedActions: requiredApplicationContinuationFlow
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? buildAiRequiredApplicationGateSuggestedActions(requiredApplicationContinuationFlow, prompt)
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: buildStewardSuggestedActions(plan)
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})
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)
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persistCurrentConversation()
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} catch (error) {
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shouldAutoScrollOnFinish = inlineConversationAutoScrollPinned.value
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replaceInlineMessage(
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pendingMessage.id,
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createInlineMessage(
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'assistant',
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error?.message || '小财管家暂时无法完成规划，请稍后再试。',
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{
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id: pendingMessage.id,
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stewardPlan: {
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streamStatus: 'failed',
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thinkingEvents: resolveInlineThinkingEvents(pendingMessage).map((item) => ({
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...item,
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status: 'failed'
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}))
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}
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}
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)
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)
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toast(error?.message || '小财管家暂时无法完成规划。')
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persistCurrentConversation()
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} finally {
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sending.value = false
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scrollInlineConversationToBottom({ force: shouldAutoScrollOnFinish })
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}
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}
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return {
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buildRequiredApplicationActions,
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buildRequiredApplicationMissingText,
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buildRequiredApplicationSelectionText,
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filterRequiredApplicationCandidates,
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requestInlineAssistantReply
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}
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}
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