feat(platform): close AI expense value loop
Add tenant-safe value, telemetry, connector, commercial, and production-readiness foundations.
This commit is contained in:
caoxiaozhu
@@ -0,0 +1,277 @@
|
||||
import { isReimbursementCreationIntent } from './workbenchAiApplicationGateModel.js'
|
||||
import {
|
||||
buildRuleFallbackWorkbenchAiIntentPlan,
|
||||
isLowConfidenceTravelApplicationPlan,
|
||||
normalizeWorkbenchAiIntentPlan,
|
||||
resolveExecutableTravelApplicationPlan
|
||||
} from './workbenchAiIntentPlannerModel.js'
|
||||
import {
|
||||
buildInitialModelPlanningThinkingEvents,
|
||||
buildModelPlanningProgressSchedule,
|
||||
mergeWorkbenchAiThinkingEvents
|
||||
} from './workbenchAiPlanningThinkingModel.js'
|
||||
|
||||
export function useWorkbenchAiIntentExecution(options) {
|
||||
const {
|
||||
actionRouter,
|
||||
activeConversationTitle,
|
||||
activateInlineConversation,
|
||||
applicationFlow,
|
||||
assistantDraft,
|
||||
clearAiModeFiles,
|
||||
closeWorkbenchDatePicker,
|
||||
conversationId,
|
||||
conversationMessages,
|
||||
createInlineMessage,
|
||||
expenseFlow,
|
||||
inlineConversationAutoScrollPinned,
|
||||
persistCurrentConversation,
|
||||
removeWorkbenchDateTag,
|
||||
replaceInlineMessage,
|
||||
resolveInlineThinkingEvents,
|
||||
scrollInlineConversationToBottom,
|
||||
searchConversationId,
|
||||
sending,
|
||||
stewardFlow
|
||||
} = options
|
||||
|
||||
function isModelPlannedReimbursementTask(modelPlan = {}) {
|
||||
const tasks = Array.isArray(modelPlan?.tasks) ? modelPlan.tasks : []
|
||||
return tasks.some((task) => {
|
||||
const taskType = String(task?.task_type || task?.taskType || '').trim()
|
||||
const assignedAgent = String(task?.assigned_agent || task?.assignedAgent || '').trim()
|
||||
return taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
|
||||
})
|
||||
}
|
||||
|
||||
function updateModelPlanningThinkingEvent(messageId, event) {
|
||||
const message = conversationMessages.value.find((item) => item.id === messageId)
|
||||
if (!message) {
|
||||
return
|
||||
}
|
||||
const currentPlan = message.stewardPlan || {}
|
||||
message.stewardPlan = {
|
||||
...currentPlan,
|
||||
streamStatus: 'streaming',
|
||||
thinkingEvents: mergeWorkbenchAiThinkingEvents(resolveInlineThinkingEvents(message), [event])
|
||||
}
|
||||
persistCurrentConversation()
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
|
||||
function startModelPlanningProgressUpdates(messageId) {
|
||||
const timerIds = buildModelPlanningProgressSchedule().map(({ delayMs, event }) => (
|
||||
globalThis.setTimeout(() => {
|
||||
updateModelPlanningThinkingEvent(messageId, event)
|
||||
}, delayMs)
|
||||
))
|
||||
return () => {
|
||||
timerIds.forEach((timerId) => globalThis.clearTimeout(timerId))
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlanningConversation(cleanPrompt, entry = {}) {
|
||||
if (conversationId.value === searchConversationId) {
|
||||
conversationId.value = ''
|
||||
conversationMessages.value = []
|
||||
activeConversationTitle.value = ''
|
||||
}
|
||||
activateInlineConversation({
|
||||
title: entry.label || cleanPrompt.slice(0, 18) || '新对话'
|
||||
})
|
||||
inlineConversationAutoScrollPinned.value = true
|
||||
conversationMessages.value.push(createInlineMessage('user', cleanPrompt))
|
||||
assistantDraft.value = ''
|
||||
removeWorkbenchDateTag()
|
||||
closeWorkbenchDatePicker()
|
||||
clearAiModeFiles()
|
||||
const pendingMessage = createInlineMessage('assistant', '正在识别意图，准备拆解申请、报销和附件任务。', {
|
||||
pending: true,
|
||||
stewardPlan: {
|
||||
streamStatus: 'streaming',
|
||||
thinkingEvents: buildInitialModelPlanningThinkingEvents()
|
||||
}
|
||||
})
|
||||
conversationMessages.value.push(pendingMessage)
|
||||
scrollInlineConversationToBottom()
|
||||
persistCurrentConversation()
|
||||
return pendingMessage
|
||||
}
|
||||
|
||||
function buildModelPlannedNextTaskAction(remainingTasks = []) {
|
||||
const tasks = Array.isArray(remainingTasks) ? remainingTasks : []
|
||||
const nextTask = tasks[0]
|
||||
if (!nextTask || typeof nextTask !== 'object') {
|
||||
return null
|
||||
}
|
||||
const taskType = String(nextTask.task_type || nextTask.taskType || '').trim()
|
||||
const assignedAgent = String(nextTask.assigned_agent || nextTask.assignedAgent || '').trim()
|
||||
const isApplication = taskType === 'expense_application' || assignedAgent === 'application_assistant'
|
||||
const isReimbursement = taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
|
||||
if (!isApplication && !isReimbursement) {
|
||||
return null
|
||||
}
|
||||
const ontologyFields = nextTask.ontology_fields || nextTask.ontologyFields || {}
|
||||
const flowId = isApplication ? 'travel_application' : 'travel_reimbursement'
|
||||
const taskLabel = isApplication ? '出差申请' : '费用报销'
|
||||
return {
|
||||
label: `继续处理${taskLabel}`,
|
||||
action_type: 'steward_continue_next_task',
|
||||
payload: {
|
||||
steward_confirm_flow: true,
|
||||
flow_id: flowId,
|
||||
steward_current_task: nextTask,
|
||||
expense_type: String(ontologyFields.expense_type || 'travel').trim() || 'travel',
|
||||
expense_type_label: String(ontologyFields.expense_type_label || '差旅费').trim() || '差旅费',
|
||||
ontology_fields: ontologyFields,
|
||||
original_message: String(nextTask.summary || nextTask.title || `继续处理${taskLabel}`).trim(),
|
||||
steward_remaining_tasks: tasks.slice(1)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlannedNextTask(remainingTasks = []) {
|
||||
const nextTaskAction = buildModelPlannedNextTaskAction(remainingTasks)
|
||||
if (nextTaskAction) {
|
||||
actionRouter.handleInlineSuggestedAction(nextTaskAction)
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage = null) {
|
||||
void applicationFlow.startAiApplicationPreview(
|
||||
travelApplicationRequest.expenseType,
|
||||
travelApplicationRequest.expenseTypeLabel,
|
||||
travelApplicationRequest.sourceText,
|
||||
{
|
||||
userMessage: travelApplicationRequest.sourceText,
|
||||
pushUserMessage: !plannerPendingMessage,
|
||||
pendingMessageId: plannerPendingMessage?.id,
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks,
|
||||
onPreviewReadyForNextTask: startModelPlannedNextTask,
|
||||
onApplicationActionCompleted: startModelPlannedNextTask
|
||||
}
|
||||
)
|
||||
}
|
||||
|
||||
function buildLowConfidenceTravelApplicationConfirmationText(request, plan) {
|
||||
const fields = request.ontologyFields || {}
|
||||
const summaryParts = []
|
||||
if (fields.time_range) summaryParts.push(`时间：${fields.time_range}`)
|
||||
if (fields.location) summaryParts.push(`地点：${fields.location}`)
|
||||
if (fields.reason) summaryParts.push(`事由：${fields.reason}`)
|
||||
if (fields.transport_mode) summaryParts.push(`交通：${fields.transport_mode}`)
|
||||
const summary = summaryParts.length ? `\n\n${summaryParts.join('；')}` : ''
|
||||
const confidenceNote = Number.isFinite(Number(plan?.confidence))
|
||||
? `（模型识别置信度较低，约 ${Math.round(Number(plan.confidence) * 100)}%）`
|
||||
: '（模型识别置信度较低）'
|
||||
return [
|
||||
'### 需要确认：您是要发起出差申请吗？',
|
||||
'',
|
||||
`小财管家把这句话理解成了“发起差旅申请”${confidenceNote}，为避免误操作，先请您确认。`,
|
||||
summary,
|
||||
'',
|
||||
'点击下方「确认发起出差申请」即可继续；如果理解有误，请补充说明您的实际需求。'
|
||||
].filter(Boolean).join('\n')
|
||||
}
|
||||
|
||||
function startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, plan, plannerPendingMessage) {
|
||||
const confirmAction = {
|
||||
label: '确认发起出差申请',
|
||||
description: '根据上面识别到的信息生成出差申请预览。',
|
||||
icon: 'mdi mdi-check-circle-outline',
|
||||
action_type: 'ai_application_confirm_intent',
|
||||
payload: {
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
sourceText: travelApplicationRequest.sourceText,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks
|
||||
}
|
||||
}
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage(
|
||||
'assistant',
|
||||
buildLowConfidenceTravelApplicationConfirmationText(travelApplicationRequest, plan),
|
||||
{
|
||||
id: plannerPendingMessage.id,
|
||||
suggestedActions: [confirmAction],
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage)
|
||||
.map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}
|
||||
))
|
||||
persistCurrentConversation()
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
|
||||
async function executeModelPlannedWorkbenchIntent(cleanPrompt, entry = {}, files = []) {
|
||||
let intentPlan = null
|
||||
let modelPlan = null
|
||||
const plannerPendingMessage = startModelPlanningConversation(cleanPrompt, entry)
|
||||
const stopPlanningProgressUpdates = startModelPlanningProgressUpdates(plannerPendingMessage.id)
|
||||
sending.value = true
|
||||
try {
|
||||
modelPlan = await stewardFlow.resolveInlineExecutionPlan(cleanPrompt, entry, files, {
|
||||
pendingMessageId: plannerPendingMessage.id
|
||||
})
|
||||
intentPlan = normalizeWorkbenchAiIntentPlan(modelPlan, { prompt: cleanPrompt })
|
||||
} catch (error) {
|
||||
console.warn('AI mode intent planner failed, using local fallback:', error)
|
||||
const ruleRequest = resolveExecutableTravelApplicationPlan(
|
||||
buildRuleFallbackWorkbenchAiIntentPlan(cleanPrompt)
|
||||
)
|
||||
if (ruleRequest) {
|
||||
sending.value = false
|
||||
startModelPlannedApplicationPreview(ruleRequest, plannerPendingMessage)
|
||||
return
|
||||
}
|
||||
} finally {
|
||||
stopPlanningProgressUpdates()
|
||||
sending.value = false
|
||||
}
|
||||
|
||||
const travelApplicationRequest = resolveExecutableTravelApplicationPlan(intentPlan)
|
||||
if (travelApplicationRequest) {
|
||||
if (isLowConfidenceTravelApplicationPlan(intentPlan)) {
|
||||
startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, intentPlan, plannerPendingMessage)
|
||||
} else {
|
||||
startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if (isModelPlannedReimbursementTask(modelPlan) || isReimbursementCreationIntent(cleanPrompt)) {
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage(
|
||||
'assistant',
|
||||
'已识别为报销任务，正在进入报销流程。',
|
||||
{
|
||||
id: plannerPendingMessage.id,
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage)
|
||||
.map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}
|
||||
))
|
||||
void expenseFlow.startAiReimbursementAssociationGate(cleanPrompt, entry.label || cleanPrompt)
|
||||
return
|
||||
}
|
||||
|
||||
void stewardFlow.requestInlineAssistantReply(cleanPrompt, entry, files, {
|
||||
pendingMessageId: plannerPendingMessage.id
|
||||
})
|
||||
}
|
||||
|
||||
return {
|
||||
executeModelPlannedWorkbenchIntent,
|
||||
startModelPlannedNextTask
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user