feat(web): AI 工作台意图规划与规划思考模型

- 新增 workbenchAiIntentPlannerModel,基于 LLM function_call 解析建单/草稿/提交意图,区分 model 与 rule_fallback 来源
- 新增 workbenchAiPlanningThinkingModel 合并规划思考事件流,按 eventId 去重合并
- application gate/preview 模型接入意图规划,usePersonalWorkbenchAiMode/useWorkbenchAiStewardFlow/useWorkbenchAiActionRouter 链路适配,支持上下文提交
- steward 服务与 stewardPlanModel 适配新动作结构,receipt-folder-view 微调样式
- 新增 intent-planner-model/application-context-submit/steward-actions-service 测试,更新 gate-model/action-router/plan-message-copy/fast-preview 测试
This commit is contained in:
caoxiaozhu
2026-06-24 21:58:46 +08:00
parent 5311c99d69
commit bc560145a4
18 changed files with 1914 additions and 38 deletions

View File

@@ -549,59 +549,156 @@
}
.associate-hint {
margin: 0;
margin: 0 0 2px 0;
color: #64748b;
font-size: 13px;
line-height: 1.4;
}
.receipt-checkbox-list,
.draft-choice-list {
max-height: 360px;
max-height: 340px;
display: grid;
gap: 8px;
overflow-y: auto;
padding: 1px;
}
.receipt-checkbox-list :deep(.el-checkbox),
.draft-choice {
min-height: 50px;
display: flex !important;
min-height: 52px;
align-items: center;
margin-right: 0;
padding: 9px 10px;
border: 1px solid #dbe4ee;
padding: 10px 14px;
border: 1px solid #e2e8f0;
border-radius: 4px;
background: #fff;
transition: all 150ms ease;
box-sizing: border-box;
}
.receipt-checkbox-list :deep(.el-checkbox:hover),
.draft-choice:hover {
border-color: #cbd5e1;
background: #f8fafc;
}
.receipt-checkbox-list :deep(.el-checkbox.is-checked) {
border-color: var(--theme-primary);
background: rgba(58, 124, 165, 0.04);
}
.receipt-checkbox-list :deep(.el-checkbox__label) {
flex: 1;
display: grid;
gap: 3px;
gap: 2px;
color: #0f172a;
font-weight: 750;
font-size: 13px;
font-weight: 600;
line-height: 1.35;
}
.receipt-checkbox-list small,
.draft-choice small {
color: #64748b;
font-size: 12px;
font-weight: 650;
font-size: 11.5px;
font-weight: 400;
line-height: 1.35;
}
.draft-choice {
display: grid;
grid-template-columns: auto minmax(0, 1fr);
gap: 9px;
gap: 10px;
cursor: pointer;
}
.draft-choice.active {
border-color: rgba(58, 124, 165, .42);
background: rgba(58, 124, 165, .07);
border-color: var(--theme-primary);
background: rgba(58, 124, 165, 0.04);
}
.draft-choice span {
display: grid;
gap: 3px;
gap: 2px;
}
.draft-choice strong {
color: #0f172a;
font-size: 13px;
font-weight: 600;
line-height: 1.35;
}
/* Global styles for the association dialog */
:global(.receipt-associate-dialog.el-dialog) {
border-radius: 6px;
box-shadow: 0 16px 36px rgba(15, 23, 42, 0.12);
}
:global(.receipt-associate-dialog .el-dialog__header) {
padding: 20px 24px 12px 24px;
margin-right: 0;
}
:global(.receipt-associate-dialog .el-dialog__headerbtn) {
top: 20px;
right: 24px;
}
:global(.receipt-associate-dialog .el-dialog__title) {
font-size: 15px;
font-weight: 600;
color: #0f172a;
}
:global(.receipt-associate-dialog .el-dialog__body) {
padding: 0 24px 20px 24px;
}
:global(.receipt-associate-dialog .el-dialog__footer) {
padding: 12px 24px 16px 24px;
background: #f8fafc;
border-top: 1px solid #e2e8f0;
display: flex;
justify-content: flex-end;
gap: 8px;
}
:global(.receipt-associate-dialog .el-dialog__footer .apply-btn),
:global(.receipt-associate-dialog .el-dialog__footer .ghost-btn) {
min-height: 36px;
height: 36px;
padding: 0 16px;
border-radius: 4px;
font-size: 13px;
font-weight: 500;
transition: all 150ms ease;
}
:global(.receipt-associate-dialog .el-dialog__footer .ghost-btn) {
border-color: #cbd5e1;
color: #334155;
background: #fff;
}
:global(.receipt-associate-dialog .el-dialog__footer .ghost-btn:hover) {
background: #f8fafc;
border-color: #94a3b8;
color: #0f172a;
}
:global(.receipt-associate-dialog .el-dialog__footer .apply-btn) {
background: var(--theme-primary);
border-color: var(--theme-primary);
color: #fff;
}
:global(.receipt-associate-dialog .el-dialog__footer .apply-btn:hover:not(:disabled)) {
background: var(--theme-primary-active);
border-color: var(--theme-primary-active);
box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
}
@media (max-width: 1180px) {

View File

@@ -35,7 +35,20 @@ import { useWorkbenchAiMessageActions } from './useWorkbenchAiMessageActions.js'
import { useWorkbenchAiMessageExpansion } from './useWorkbenchAiMessageExpansion.js'
import { useWorkbenchAiSessionCommands } from './useWorkbenchAiSessionCommands.js'
import { useWorkbenchAiStewardFlow } from './useWorkbenchAiStewardFlow.js'
import { isReimbursementCreationIntent } from './workbenchAiApplicationGateModel.js'
import {
isReimbursementCreationIntent
} from './workbenchAiApplicationGateModel.js'
import {
buildRuleFallbackWorkbenchAiIntentPlan,
normalizeWorkbenchAiIntentPlan,
resolveExecutableTravelApplicationPlan,
shouldRequestWorkbenchAiIntentPlan
} from './workbenchAiIntentPlannerModel.js'
import {
buildInitialModelPlanningThinkingEvents,
buildModelPlanningProgressSchedule,
mergeWorkbenchAiThinkingEvents
} from './workbenchAiPlanningThinkingModel.js'
const AI_SEARCH_CONVERSATION_ID = 'ai-search'
const INLINE_ANSWER_STREAM_CHUNK_SIZE = 6
@@ -251,11 +264,16 @@ export function usePersonalWorkbenchAiMode(props, emit) {
applicationFlow,
assistantDraft,
attachmentFlow,
conversationMessages,
createInlineMessage,
emit,
expenseFlow,
focusAiModeInput,
hasInlineAttachmentOcrDetails,
persistCurrentConversation,
replaceInlineMessage,
resolveLatestInlineUserPrompt,
scrollInlineConversationToBottom,
selectedFiles,
startInlineConversation,
toast,
@@ -560,6 +578,131 @@ export function usePersonalWorkbenchAiMode(props, emit) {
return false
}
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 === AI_SEARCH_CONVERSATION_ID) {
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()
filesFlow.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 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
}
)
}
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 rulePlan = buildRuleFallbackWorkbenchAiIntentPlan(cleanPrompt)
const ruleRequest = resolveExecutableTravelApplicationPlan(rulePlan)
if (ruleRequest) {
sending.value = false
startModelPlannedApplicationPreview(ruleRequest, plannerPendingMessage)
return
}
} finally {
stopPlanningProgressUpdates()
sending.value = false
}
const travelApplicationRequest = resolveExecutableTravelApplicationPlan(intentPlan)
if (travelApplicationRequest) {
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 })
}
function handleAiAnswerMarkdownClick(event) {
const target = event?.target
const link = target?.closest?.('a[href^="#ai-open-document-detail:"], a[href^="#ai-open-application-detail:"]')
@@ -594,6 +737,11 @@ export function usePersonalWorkbenchAiMode(props, emit) {
return
}
if (shouldRequestWorkbenchAiIntentPlan(cleanPrompt)) {
void executeModelPlannedWorkbenchIntent(cleanPrompt, entry, files)
return
}
if (isReimbursementCreationIntent(cleanPrompt)) {
void expenseFlow.startAiReimbursementAssociationGate(cleanPrompt, entry.label || '我要报销')
return

View File

@@ -2,6 +2,7 @@ import {
AI_APPLICATION_ACTION_SAVE_DRAFT,
AI_APPLICATION_ACTION_SUBMIT
} from '../../services/aiApplicationPreviewActions.js'
import { executeStewardAction } from '../../services/steward.js'
import { buildAiDocumentDetailRequest } from '../../utils/aiDocumentDetailReference.js'
import {
mergeComposerPrefill,
@@ -25,11 +26,16 @@ export function useWorkbenchAiActionRouter({
applicationFlow,
assistantDraft,
attachmentFlow,
conversationMessages,
createInlineMessage,
emit,
expenseFlow,
focusAiModeInput,
hasInlineAttachmentOcrDetails,
persistCurrentConversation,
replaceInlineMessage,
resolveLatestInlineUserPrompt,
scrollInlineConversationToBottom,
selectedFiles,
startInlineConversation,
toast,
@@ -45,6 +51,9 @@ export function useWorkbenchAiActionRouter({
const actionType = String(action?.action_type || '').trim()
const actionPayload = action?.payload && typeof action.payload === 'object' ? action.payload : {}
if (actionPayload.steward_execute_action) {
return executeInlineStewardAction(action, sourceMessage)
}
if (actionType === AI_ATTACHMENT_OCR_DETAIL_ACTION) {
if (!hasInlineAttachmentOcrDetails(sourceMessage)) {
toast('当前消息没有可查看的附件识别明细。')
@@ -162,6 +171,191 @@ export function useWorkbenchAiActionRouter({
}, action?.payload?.carry_files ? Array.from(selectedFiles.value) : [])
}
async function executeInlineStewardAction(action = {}, sourceMessage = null) {
const actionPayload = action?.payload && typeof action.payload === 'object' ? action.payload : {}
const actionType = String(actionPayload.steward_action_type || '').trim()
if (!actionType || !actionPayload.steward_current_task) {
toast('当前动作缺少可执行任务快照,请重新发起规划。')
return false
}
if (sourceMessage?.suggestedActionsLocked) {
return true
}
if (sourceMessage) {
sourceMessage.suggestedActionsLocked = true
}
const pendingMessage = appendStewardActionMessage(
`正在执行:${String(action.label || '小财管家动作').trim() || '小财管家动作'}...`,
{ pending: true }
)
try {
let precheckResult = null
if (actionType === 'submit_application') {
precheckResult = await executeStewardAction(
buildStewardActionExecutePayload(action, 'run_duplicate_precheck')
)
if (!isSuccessfulStewardPrecheck(precheckResult)) {
finalizeStewardActionMessage(pendingMessage, buildStewardActionResultText(precheckResult), {
suggestedActions: []
})
return true
}
}
const contextJson = precheckResult
? { precheck_result: precheckResult.result_payload || precheckResult.resultPayload || {} }
: {}
const result = await executeStewardAction(
buildStewardActionExecutePayload(action, actionType, contextJson)
)
finalizeStewardActionMessage(pendingMessage, buildStewardActionResultText(result), {
suggestedActions: buildStewardActionResultActions(result)
})
return true
} catch (error) {
if (sourceMessage) {
sourceMessage.suggestedActionsLocked = false
}
finalizeStewardActionMessage(
pendingMessage,
`动作执行失败:${String(error?.message || '请稍后重试。').trim()}`
)
return false
}
}
function buildStewardActionExecutePayload(action = {}, actionType = '', contextJson = {}) {
const actionPayload = action?.payload && typeof action.payload === 'object' ? action.payload : {}
const currentTask = actionPayload.steward_current_task || null
return {
action_type: actionType,
message: resolveStewardActionMessage(action),
plan_id: String(actionPayload.steward_plan_id || '').trim(),
conversation_id: String(actionPayload.conversation_id || actionPayload.conversationId || '').trim() || null,
task: currentTask,
action_step: resolveStewardActionStep(actionPayload, actionType),
confirmed: true,
context_json: contextJson,
client_trace_id: buildStewardActionClientTraceId(actionPayload, actionType)
}
}
function resolveStewardActionMessage(action = {}) {
const actionPayload = action?.payload && typeof action.payload === 'object' ? action.payload : {}
return String(
actionPayload.carry_text ||
actionPayload.original_message ||
resolveLatestInlineUserPrompt?.() ||
action.label ||
''
).trim()
}
function resolveStewardActionStep(actionPayload = {}, actionType = '') {
if (String(actionPayload.steward_action_step?.action_type || '').trim() === actionType) {
return actionPayload.steward_action_step
}
const steps = Array.isArray(actionPayload.steward_current_task?.action_steps)
? actionPayload.steward_current_task.action_steps
: []
return steps.find((step) => String(step?.action_type || '').trim() === actionType) || null
}
function buildStewardActionClientTraceId(actionPayload = {}, actionType = '') {
const planId = String(actionPayload.steward_plan_id || 'steward').trim() || 'steward'
const taskId = String(actionPayload.steward_action_task_id || actionPayload.steward_current_task?.task_id || 'task').trim() || 'task'
return `${planId}:${taskId}:${actionType}:${Date.now()}`
}
function isSuccessfulStewardPrecheck(result = {}) {
const status = String(result?.status || '').trim()
const payload = result?.result_payload || result?.resultPayload || {}
return status === 'succeeded' && payload?.blocking !== true
}
function appendStewardActionMessage(content, options = {}) {
if (!conversationMessages?.value || typeof createInlineMessage !== 'function') {
toast(String(content || '').trim())
return null
}
const message = createInlineMessage('assistant', content, options)
conversationMessages.value.push(message)
persistStewardActionConversation()
return message
}
function finalizeStewardActionMessage(pendingMessage, content, options = {}) {
if (!conversationMessages?.value || typeof createInlineMessage !== 'function') {
toast(String(content || '').trim())
return
}
const finalMessage = createInlineMessage('assistant', content, {
...options,
id: pendingMessage?.id
})
if (pendingMessage?.id && typeof replaceInlineMessage === 'function') {
replaceInlineMessage(pendingMessage.id, finalMessage)
} else if (pendingMessage?.id) {
const index = conversationMessages.value.findIndex((item) => item.id === pendingMessage.id)
if (index >= 0) {
conversationMessages.value.splice(index, 1, finalMessage)
} else {
conversationMessages.value.push(finalMessage)
}
} else {
conversationMessages.value.push(finalMessage)
}
persistStewardActionConversation()
}
function persistStewardActionConversation() {
persistCurrentConversation?.()
scrollInlineConversationToBottom?.({ force: true })
}
function buildStewardActionResultText(result = {}) {
const status = String(result?.status || '').trim()
const message = String(result?.message || '').trim()
if (status === 'succeeded') {
return message || '动作已完成。'
}
if (status === 'needs_confirmation') {
return message || '这一步还需要您确认后才能继续。'
}
if (status === 'blocked') {
return ['这一步暂时不能继续。', message].filter(Boolean).join('\n\n')
}
if (status === 'failed') {
return `动作执行失败:${message || '请稍后重试。'}`
}
return message || '动作已返回结果。'
}
function buildStewardActionResultActions(result = {}) {
if (String(result?.status || '').trim() !== 'succeeded') {
return []
}
const resultPayload = result?.result_payload || result?.resultPayload || {}
const draftPayload = resultPayload?.draft_payload || resultPayload?.draftPayload || resultPayload
const claimNo = String(draftPayload?.claim_no || draftPayload?.claimNo || '').trim()
const claimId = String(draftPayload?.claim_id || draftPayload?.claimId || '').trim()
if (!claimNo && !claimId) {
return []
}
return [{
label: claimNo ? `查看单据 ${claimNo}` : '查看单据',
description: '打开刚生成的单据详情。',
icon: 'mdi mdi-open-in-new',
action_type: 'open_application_detail',
payload: {
claim_id: claimId,
claim_no: claimNo
}
}]
}
return {
handleInlineSuggestedAction
}

View File

@@ -27,6 +27,10 @@ import {
extractInlineApplicationDraftPayload
} from './workbenchAiApplicationPreviewModel.js'
import { AI_ATTACHMENT_ASSOCIATION_CONFIRM_ACTION } from './workbenchAiMessageModel.js'
import {
completeWorkbenchAiThinkingEvents,
mergeWorkbenchAiThinkingEvents
} from './workbenchAiPlanningThinkingModel.js'
import {
isOrphanInlineApplicationPreviewMessage,
resolveInlineApplicationPreviewTextAction,
@@ -202,6 +206,26 @@ export function useWorkbenchAiApplicationPreviewFlow({
].join('\n\n')
}
function hasSavedInlineApplicationDraft(message = {}, options = {}) {
const draftPayload = message?.draftPayload || options.draftPayload || null
if (!draftPayload || typeof draftPayload !== 'object') {
return false
}
const claimId = String(draftPayload.claim_id || draftPayload.claimId || '').trim()
const claimNo = String(draftPayload.claim_no || draftPayload.claimNo || '').trim()
const status = String(draftPayload.status || '').trim().toLowerCase()
return Boolean((claimId || claimNo) && status !== 'submitted')
}
function isContextualInlineApplicationSubmitText(text = '') {
const normalized = String(text || '').replace(/\s+/g, '').trim()
return Boolean(
normalized &&
/提交/.test(normalized) &&
/(这个|这张|当前|上面|上述|刚才|申请单|单据|草稿|领导|审核|审批)/.test(normalized)
)
}
function resolveLatestInlineApplicationPreviewMessage() {
return resolveLatestApplicationPreviewMessage(conversationMessages.value)
}
@@ -334,7 +358,12 @@ export function useWorkbenchAiApplicationPreviewFlow({
return true
}
if (isSubmit && !options.confirmed) {
const shouldSubmitSavedDraftDirectly = isSubmit &&
!options.confirmed &&
hasSavedInlineApplicationDraft(targetMessage, options) &&
isContextualInlineApplicationSubmitText(userText)
if (isSubmit && !options.confirmed && !shouldSubmitSavedDraftDirectly) {
requestInlineApplicationSubmitConfirmation(targetMessage, { ...options, userText })
return true
}
@@ -474,11 +503,16 @@ export function useWorkbenchAiApplicationPreviewFlow({
pushInlineUserMessage(options.userMessage || '确认发起出差申请')
}
const existingPendingMessage = options.pendingMessageId
? conversationMessages.value.find((item) => item.id === options.pendingMessageId)
: null
const previousThinkingEvents = completeWorkbenchAiThinkingEvents(resolveInlineThinkingEvents(existingPendingMessage))
const pendingMessage = createInlineMessage('assistant', '正在生成申请核对表,请稍等...', {
id: options.pendingMessageId,
pending: true,
stewardPlan: {
streamStatus: 'streaming',
thinkingEvents: [
thinkingEvents: mergeWorkbenchAiThinkingEvents(previousThinkingEvents, [
{
eventId: 'application-preview-build',
title: '整理申请表字段',
@@ -491,19 +525,25 @@ export function useWorkbenchAiApplicationPreviewFlow({
content: '正在刷新差旅规则和费用测算,完成后会直接展示核对表。',
status: 'pending'
}
]
])
}
})
conversationMessages.value.push(pendingMessage)
if (options.pendingMessageId) {
replaceInlineMessage(options.pendingMessageId, pendingMessage)
} else {
conversationMessages.value.push(pendingMessage)
}
persistCurrentConversation()
scrollInlineConversationToBottom()
try {
const preview = await refreshApplicationPreviewEstimate(
buildInlineApplicationPreview(expenseTypeLabel || expenseType, previewSourceText, currentUser.value || {})
buildInlineApplicationPreview(expenseTypeLabel || expenseType, previewSourceText, currentUser.value || {}, {
ontologyFields: options.ontologyFields
})
)
const content = buildLocalApplicationPreviewMessage(preview)
replaceInlineMessage(pendingMessage.id, createInlineMessage('assistant', content, {
const previewMessage = createInlineMessage('assistant', content, {
id: pendingMessage.id,
applicationPreview: preview,
suggestedActions: buildInlineApplicationPreviewSuggestedActions(preview),
@@ -512,7 +552,20 @@ export function useWorkbenchAiApplicationPreviewFlow({
thinkingEvents: completeInlineThinkingEvents(resolveInlineThinkingEvents(pendingMessage))
},
text: content
}))
})
replaceInlineMessage(pendingMessage.id, previewMessage)
if (options.autoSubmit && normalizeApplicationPreview(preview).readyToSubmit) {
await executeInlineApplicationPreviewAction(AI_APPLICATION_ACTION_SUBMIT, previewMessage, {
confirmed: true,
skipUserMessage: true,
userText: options.userMessage || '直接提交'
})
} else if (options.autoSaveDraft) {
await executeInlineApplicationPreviewAction(AI_APPLICATION_ACTION_SAVE_DRAFT, previewMessage, {
skipUserMessage: true,
userText: options.userMessage || '保存草稿'
})
}
} catch (error) {
replaceInlineMessage(pendingMessage.id, createInlineMessage('assistant', error?.message || '申请核对表生成失败,请稍后重试。', {
id: pendingMessage.id,

View File

@@ -21,6 +21,10 @@ import {
import {
buildInlineAttachmentOcrDetails
} from './workbenchAiMessageModel.js'
import {
completeWorkbenchAiThinkingEvents,
mergeWorkbenchAiThinkingEvents
} from './workbenchAiPlanningThinkingModel.js'
function shouldCheckAiRequiredApplicationGate(prompt) {
const compact = String(prompt || '').replace(/\s+/g, '')
@@ -187,13 +191,16 @@ export function useWorkbenchAiStewardFlow({
return planRequest
}
function handleInlineStewardStreamEvent(messageId, event) {
function handleInlineStewardStreamEvent(messageId, event, options = {}) {
const message = conversationMessages.value.find((item) => item.id === messageId)
if (!message) {
return
}
if (event?.event === 'answer_delta') {
if (options.includeAnswerDelta === false) {
return
}
const data = event?.data && typeof event.data === 'object' ? event.data : {}
const shouldAutoScroll = inlineConversationAutoScrollPinned.value
appendInlineMessageContent(message, data.delta || data.content || data.text || '')
@@ -226,16 +233,23 @@ export function useWorkbenchAiStewardFlow({
scrollInlineConversationToBottom({ force: shouldAutoScroll })
}
async function fetchInlineStewardPlan(messageId, payload) {
async function fetchInlineStewardPlan(messageId, payload, options = {}) {
const {
includeAnswerDelta = true,
idleTimeoutMs = 90000,
timeoutMs = 0,
timeoutMessage = '小财管家仍在规划任务,已停止等待。您可以稍后继续追问。'
} = options
try {
return await fetchStewardPlanStream(
payload,
{
onEvent: (event) => handleInlineStewardStreamEvent(messageId, event)
onEvent: (event) => handleInlineStewardStreamEvent(messageId, event, { includeAnswerDelta })
},
{
idleTimeoutMs: 90000,
timeoutMessage: '小财管家仍在规划任务,已停止等待。您可以稍后继续追问。'
idleTimeoutMs,
timeoutMs,
timeoutMessage
}
)
} catch (error) {
@@ -249,23 +263,67 @@ export function useWorkbenchAiStewardFlow({
}
}
async function requestInlineAssistantReply(prompt, entry = {}, files = []) {
async function resolveInlineExecutionPlan(prompt, entry = {}, files = [], options = {}) {
const receiptContext = await collectAiModeReceiptContext(files)
const planRequest = buildStewardPlanRequest({
rawText: prompt,
files,
currentUser: currentUser.value || {},
conversationId: conversationId.value,
stewardState: stewardState.value
})
planRequest.context_json = {
...planRequest.context_json,
entry_source: 'workbench_ai_inline_execution_plan',
source: entry.source || 'workbench',
attachment_names: receiptContext.attachmentNames,
attachment_count: receiptContext.attachmentCount,
ocr_summary: receiptContext.ocrSummary,
ocr_documents: receiptContext.ocrDocuments,
ocr_source_file_names: receiptContext.ocrSourceFileNames,
requested_execution_mode: 'plan_then_execute',
...(receiptContext.ocrError ? { ocr_error: receiptContext.ocrError } : {})
}
await attachAiRequiredApplicationGate(planRequest, prompt)
const planningMessageId = String(options.pendingMessageId || '').trim()
if (planningMessageId) {
return fetchInlineStewardPlan(planningMessageId, planRequest, {
includeAnswerDelta: false,
idleTimeoutMs: 45000,
timeoutMs: 35000,
timeoutMessage: '小财管家意图规划超时,已切换到本地保守计划。'
})
}
return fetchStewardPlan(planRequest, {
timeoutMs: 35000,
timeoutMessage: '小财管家意图规划超时,已切换到本地保守计划。'
})
}
async function requestInlineAssistantReply(prompt, entry = {}, files = [], options = {}) {
let shouldAutoScrollOnFinish = true
const reusablePendingMessageId = String(options.pendingMessageId || '').trim()
const reusablePendingMessage = reusablePendingMessageId
? conversationMessages.value.find((item) => item.id === reusablePendingMessageId)
: null
const previousThinkingEvents = resolveInlineThinkingEvents(reusablePendingMessage)
const completedPreviousThinkingEvents = completeWorkbenchAiThinkingEvents(previousThinkingEvents)
const pendingMessage = createInlineMessage('assistant', '', {
id: reusablePendingMessageId || undefined,
pending: true,
stewardPlan: {
streamStatus: 'streaming',
thinkingEvents: [
thinkingEvents: mergeWorkbenchAiThinkingEvents(completedPreviousThinkingEvents, [
{
eventId: 'init',
title: '小财管家正在接入业务流程',
content: '正在识别您的意图、上下文和附件信息。',
status: 'running'
}
]
])
}
})
conversationMessages.value.push(pendingMessage)
reusablePendingMessageId ? replaceInlineMessage(reusablePendingMessageId, pendingMessage) : conversationMessages.value.push(pendingMessage)
scrollInlineConversationToBottom()
try {
@@ -303,8 +361,8 @@ export function useWorkbenchAiStewardFlow({
})
const previousThinkingEvents = resolveInlineThinkingEvents(pendingMessage)
const nextThinkingEvents = normalizedPlan.thinkingEvents.length
? normalizedPlan.thinkingEvents
: previousThinkingEvents.map((item) => ({ ...item, status: 'completed' }))
? mergeWorkbenchAiThinkingEvents(previousThinkingEvents, normalizedPlan.thinkingEvents)
: completeWorkbenchAiThinkingEvents(previousThinkingEvents)
const previousConversationId = conversationId.value
const nextConversationId = String(normalizedPlan.conversationId || '').trim()
if (nextConversationId) {
@@ -374,6 +432,7 @@ export function useWorkbenchAiStewardFlow({
buildRequiredApplicationMissingText,
buildRequiredApplicationSelectionText,
filterRequiredApplicationCandidates,
resolveInlineExecutionPlan,
requestInlineAssistantReply
}
}

View File

@@ -17,15 +17,45 @@ export function isReimbursementCreationIntent(prompt = '') {
)
}
export function resolveInlineTravelApplicationRequest(prompt = '') {
const sourceText = String(prompt || '').trim()
const compact = sourceText.replace(/\s+/g, '')
if (!compact) {
return null
}
if (/标准|制度|规则|政策|口径|怎么|如何|能不能|可以吗|查一下|查询|状态|进度|多少钱|多少/.test(compact)) {
return null
}
const hasTravelIntent = /出差|差旅|差旅费|交通/.test(compact)
const hasTravelDetail = (
/去[\u4e00-\u9fa5A-Za-z0-9]{2,24}/.test(compact) ||
/[\u4e00-\u9fa5A-Za-z0-9]{2,24}出差/.test(compact) ||
/地点[:]?[\u4e00-\u9fa5A-Za-z0-9]{2,24}/.test(compact) ||
/交通(?:方式)?[:]?(火车|高铁|动车|飞机|航班|轮船|轮渡|汽车|网约车|自驾)/.test(compact) ||
/(火车|高铁|动车|飞机|航班|轮船|轮渡|汽车|网约车|自驾)/.test(compact)
)
if (!hasTravelIntent || !hasTravelDetail) {
return null
}
return {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText,
autoSubmit: /直接提交|提交申请|确认提交|提交审批/.test(compact)
}
}
export function resolveInlineApplicationPreviewTextAction(text = '') {
const normalized = String(text || '').replace(/\s+/g, '').trim()
if (!normalized) {
return ''
}
if (/^(保存草稿|保存|存草稿|先保存)$/.test(normalized)) {
if (/^(保存草稿|保存|存草稿|先保存|保存这个单据|保存这个申请|保存这个申请单|保存这张单据|保存这张申请单|保存当前单据|保存当前申请|保存上面的单据|保存刚才的草稿)$/.test(normalized)) {
return AI_APPLICATION_ACTION_SAVE_DRAFT
}
if (/^(提交|提交申请|确认提交|提交审批|直接提交)$/.test(normalized)) {
if (/^(提交|提交申请|确认提交|提交审批|直接提交|提交这个单据|提交这个申请|提交这个申请单|提交这张单据|提交这张申请单|提交当前单据|提交当前申请|提交上面的单据|提交刚才保存的草稿|提交刚才的草稿|把这个单据提交|把这个申请单提交|提交到领导审批|提交给领导审核)$/.test(normalized)) {
return AI_APPLICATION_ACTION_SUBMIT
}
return ''

View File

@@ -1,6 +1,7 @@
import {
buildApplicationTemplatePreview,
buildLocalApplicationPreview,
buildModelRefinedApplicationPreview,
normalizeApplicationPreview
} from '../../utils/expenseApplicationPreview.js'
import {
@@ -187,11 +188,74 @@ export function normalizeInlineApplicationTypeLabel(expenseTypeLabel, fallback =
return `${label}申请`
}
export function buildInlineApplicationPreview(expenseTypeLabel, sourceText = '', currentUser = {}) {
function buildOntologyTimeRangeFromCanonical(value = '') {
const raw = String(value || '').trim()
if (!raw) {
return {}
}
const normalized = raw.replace(/\s+/g, ' ')
const [startDate, endDate] = normalized
.split(/\s*(?:至|到|~|--|—)\s*/)
.map((item) => item.trim())
.filter(Boolean)
if (/^20\d{2}-\d{1,2}-\d{1,2}$/.test(startDate || '')) {
return {
raw,
start_date: startDate,
end_date: /^20\d{2}-\d{1,2}-\d{1,2}$/.test(endDate || '') ? endDate : startDate
}
}
return { raw }
}
function buildEntityFromCanonicalField(type, value) {
const normalizedValue = String(value || '').trim()
if (!type || !normalizedValue) {
return null
}
return {
type,
value: normalizedValue,
normalized_value: normalizedValue
}
}
function buildApplicationOntologyFromCanonicalFields(fields = {}) {
const source = fields && typeof fields === 'object' ? fields : {}
const entityKeys = [
'expense_type',
'location',
'reason',
'amount',
'transport_mode',
'customer_name',
'merchant_name',
'department_name',
'employee_name',
'employee_no'
]
return {
parse_strategy: 'llm_primary',
time_range: buildOntologyTimeRangeFromCanonical(source.time_range),
entities: entityKeys
.map((key) => buildEntityFromCanonicalField(key, source[key]))
.filter(Boolean)
}
}
export function buildInlineApplicationPreview(expenseTypeLabel, sourceText = '', currentUser = {}, options = {}) {
const rawText = String(sourceText || '').trim()
const preview = rawText
const basePreview = rawText
? buildLocalApplicationPreview(rawText, currentUser)
: buildApplicationTemplatePreview(currentUser)
const preview = options.ontologyFields && typeof options.ontologyFields === 'object'
? buildModelRefinedApplicationPreview(
basePreview,
buildApplicationOntologyFromCanonicalFields(options.ontologyFields),
rawText,
currentUser
)
: basePreview
const normalized = normalizeApplicationPreview(preview)
return normalizeApplicationPreview({
...normalized,

View File

@@ -0,0 +1,276 @@
import { resolveInlineTravelApplicationRequest } from './workbenchAiApplicationGateModel.js'
export const WORKBENCH_AI_INTENT_SOURCE_MODEL = 'llm_function_call'
export const WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK = 'rule_fallback'
export const WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW = 'build_application_preview'
export const WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS = 'validate_required_fields'
export const WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT = 'save_application_draft'
export const WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK = 'run_duplicate_precheck'
export const WORKBENCH_AI_STEP_SUBMIT_APPLICATION = 'submit_application'
const TRAVEL_APPLICATION_INTENT = 'create_travel_application'
function normalizePromptAction(prompt = '') {
const compact = String(prompt || '').replace(/\s+/g, '')
if (/直接提交|提交申请|确认提交|提交审批/.test(compact)) {
return 'submit'
}
if (/保存草稿|保存|存草稿|先保存/.test(compact)) {
return 'save_draft'
}
return 'preview'
}
function normalizePlannerSource(value = '') {
return String(value || '').trim() === WORKBENCH_AI_INTENT_SOURCE_MODEL
? WORKBENCH_AI_INTENT_SOURCE_MODEL
: WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK
}
function normalizeSlotKey(key = '') {
const normalized = String(key || '').trim()
if (['time_range', 'business_time', 'occurred_date', 'application_time'].includes(normalized)) {
return 'timeRange'
}
if (['transport_mode', 'transportType', 'transport_type', 'trafficMode'].includes(normalized)) {
return 'transportMode'
}
if (['business_reason', 'businessPurpose', 'purpose'].includes(normalized)) {
return 'reason'
}
return normalized
}
function normalizeSlots(rawSlots = {}) {
if (!rawSlots || typeof rawSlots !== 'object') {
return {}
}
return Object.entries(rawSlots).reduce((slots, [key, value]) => {
const normalizedKey = normalizeSlotKey(key)
const normalizedValue = String(value || '').trim()
if (normalizedKey && normalizedValue) {
slots[normalizedKey] = normalizedValue
}
return slots
}, {})
}
const ONTOLOGY_FIELD_ALIASES = {
business_time: 'time_range',
occurred_date: 'time_range',
application_time: 'time_range',
transportType: 'transport_mode',
transport_type: 'transport_mode',
trafficMode: 'transport_mode',
business_reason: 'reason',
businessPurpose: 'reason',
purpose: 'reason'
}
const SUPPORTED_ONTOLOGY_FIELDS = new Set([
'expense_type',
'time_range',
'location',
'reason',
'amount',
'transport_mode',
'attachments',
'customer_name',
'merchant_name',
'department_name',
'employee_name',
'employee_no'
])
function normalizeOntologyFields(rawFields = {}) {
if (!rawFields || typeof rawFields !== 'object') {
return {}
}
return Object.entries(rawFields).reduce((fields, [key, value]) => {
const normalizedKey = ONTOLOGY_FIELD_ALIASES[String(key || '').trim()] || String(key || '').trim()
const normalizedValue = String(value || '').trim()
if (SUPPORTED_ONTOLOGY_FIELDS.has(normalizedKey) && normalizedValue) {
fields[normalizedKey] = normalizedValue
}
return fields
}, {})
}
function buildApplicationSteps(requestedAction = 'preview') {
const steps = [
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS
]
if (requestedAction === 'submit') {
steps.push(
WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
WORKBENCH_AI_STEP_SUBMIT_APPLICATION
)
} else if (requestedAction === 'save_draft') {
steps.push(WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT)
}
return steps
}
function normalizeServerApplicationSteps(rawSteps = []) {
if (!Array.isArray(rawSteps)) {
return []
}
const mappedSteps = rawSteps
.map((step) => String(step?.action_type || step?.actionType || '').trim())
.map((actionType) => {
if (actionType === WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW) {
return WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW
}
if (actionType === WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS) {
return WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS
}
if (actionType === WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT) {
return WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT
}
if (actionType === WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK) {
return WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK
}
if (actionType === WORKBENCH_AI_STEP_SUBMIT_APPLICATION) {
return WORKBENCH_AI_STEP_SUBMIT_APPLICATION
}
return ''
})
.filter(Boolean)
return [...new Set(mappedSteps)]
}
function findModelTravelApplicationTask(rawPlan = {}) {
const tasks = Array.isArray(rawPlan?.tasks) ? rawPlan.tasks : []
return tasks.find((task) => {
const taskType = String(task?.task_type || task?.taskType || '').trim()
const assignedAgent = String(task?.assigned_agent || task?.assignedAgent || '').trim()
return taskType === 'expense_application' || assignedAgent === 'application_assistant'
}) || null
}
function resolveCandidateFlows(rawPlan = {}) {
const pendingFlow = rawPlan?.pending_flow_confirmation || rawPlan?.pendingFlowConfirmation || {}
const pendingCandidates = pendingFlow?.candidate_flows || pendingFlow?.candidateFlows
const rootCandidates = rawPlan?.candidate_flows || rawPlan?.candidateFlows
if (Array.isArray(pendingCandidates)) {
return pendingCandidates
}
return Array.isArray(rootCandidates) ? rootCandidates : []
}
function findSingleApplicationCandidateFlow(rawPlan = {}) {
const pendingFlow = rawPlan?.pending_flow_confirmation || rawPlan?.pendingFlowConfirmation || {}
if (String(pendingFlow?.status || '').trim() !== 'pending') {
return null
}
const candidateFlows = resolveCandidateFlows(rawPlan)
if (candidateFlows.length !== 1) {
return null
}
const [candidate] = candidateFlows
const flowId = String(candidate?.flow_id || candidate?.flowId || '').trim()
const label = String(candidate?.label || '').trim()
if (flowId === 'travel_application' && /先发起出差申请/.test(label)) {
return candidate
}
return null
}
export function normalizeWorkbenchAiIntentPlan(rawPlan = {}, options = {}) {
const prompt = String(options.prompt || rawPlan?.sourceText || rawPlan?.source_text || '').trim()
const task = findModelTravelApplicationTask(rawPlan)
if (!task) {
const candidateFlow = findSingleApplicationCandidateFlow(rawPlan)
if (!candidateFlow) {
return null
}
const ontologyFields = normalizeOntologyFields(candidateFlow.ontology_fields || candidateFlow.ontologyFields)
const requestedAction = normalizePromptAction(prompt)
return {
source: normalizePlannerSource(rawPlan.planning_source || rawPlan.planningSource),
intent: TRAVEL_APPLICATION_INTENT,
requestedAction,
confidence: Number(candidateFlow.confidence || rawPlan.confidence || 0),
sourceText: prompt,
ontologyFields,
slots: normalizeSlots(ontologyFields),
missingFields: Array.isArray(candidateFlow.missing_fields || candidateFlow.missingFields)
? candidateFlow.missing_fields || candidateFlow.missingFields
: [],
steps: buildApplicationSteps(requestedAction)
}
}
const rawOntologyFields = task.ontology_fields || task.ontologyFields || rawPlan.slots
const ontologyFields = normalizeOntologyFields(rawOntologyFields)
const requestedAction = String(
task.requested_action ||
task.requestedAction ||
rawPlan.requested_action ||
rawPlan.requestedAction ||
''
).trim() || normalizePromptAction(prompt)
const serverSteps = normalizeServerApplicationSteps(task.action_steps || task.actionSteps)
return {
source: normalizePlannerSource(rawPlan.planning_source || rawPlan.planningSource),
intent: TRAVEL_APPLICATION_INTENT,
requestedAction,
confidence: Number(task.confidence || rawPlan.confidence || 0),
sourceText: prompt,
ontologyFields,
slots: normalizeSlots(ontologyFields),
missingFields: Array.isArray(task.missing_fields || task.missingFields)
? task.missing_fields || task.missingFields
: [],
steps: serverSteps.length ? serverSteps : buildApplicationSteps(requestedAction)
}
}
export function buildRuleFallbackWorkbenchAiIntentPlan(prompt = '') {
const request = resolveInlineTravelApplicationRequest(prompt)
if (!request) {
return null
}
const requestedAction = request.autoSubmit ? 'submit' : normalizePromptAction(prompt)
return {
source: WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK,
intent: TRAVEL_APPLICATION_INTENT,
requestedAction,
confidence: 0.72,
sourceText: request.sourceText,
ontologyFields: {},
slots: {},
missingFields: [],
steps: buildApplicationSteps(requestedAction)
}
}
export function shouldRequestWorkbenchAiIntentPlan(prompt = '') {
const compact = String(prompt || '').replace(/\s+/g, '')
if (!compact) {
return false
}
if (compact.length < 2 || /^[\d\s.,,。:;!?-]+$/.test(compact)) {
return false
}
return true
}
export function resolveExecutableTravelApplicationPlan(plan = null) {
if (!plan || plan.intent !== TRAVEL_APPLICATION_INTENT) {
return null
}
if (!Array.isArray(plan.steps) || !plan.steps.includes(WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW)) {
return null
}
return {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: String(plan.sourceText || '').trim(),
ontologyFields: normalizeOntologyFields(plan.ontologyFields || {}),
autoSubmit: plan.steps.includes(WORKBENCH_AI_STEP_SUBMIT_APPLICATION),
autoSaveDraft: plan.steps.includes(WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT)
}
}

View File

@@ -0,0 +1,80 @@
export function mergeWorkbenchAiThinkingEvents(...groups) {
const merged = []
const indexById = new Map()
groups.flat().filter(Boolean).forEach((event) => {
const eventId = String(event.eventId || event.event_id || '').trim()
if (!eventId || !indexById.has(eventId)) {
if (eventId) {
indexById.set(eventId, merged.length)
}
merged.push(event)
return
}
const index = indexById.get(eventId)
merged.splice(index, 1, {
...merged[index],
...event,
eventId
})
})
return merged
}
export function completeWorkbenchAiThinkingEvents(events = []) {
return events.map((event) => ({
...event,
status: event.status === 'failed' ? 'failed' : 'completed'
}))
}
export function buildInitialModelPlanningThinkingEvents() {
return [
{
eventId: 'model-planning-intent',
title: '判断办理意图',
content: '正在判断这句话是要办申请、做报销、处理附件,还是普通咨询。',
status: 'running'
}
]
}
export function buildModelPlanningProgressSchedule() {
return [
{
delayMs: 900,
event: {
eventId: 'model-planning-slots',
title: '抽取关键信息',
content: '正在整理日期、地点、事由、交通方式、附件和“保存/提交”等动作线索。',
status: 'running'
}
},
{
delayMs: 2200,
event: {
eventId: 'model-planning-steps',
title: '规划执行步骤',
content: '正在生成可执行动作序列,例如填充申请表、校验必填项、保存草稿或发起提交。',
status: 'running'
}
},
{
delayMs: 5200,
event: {
eventId: 'model-planning-tools',
title: '匹配业务工具',
content: '正在把模型计划映射到白名单工具,避免未确认的提交或附件关联直接产生副作用。',
status: 'running'
}
},
{
delayMs: 9000,
event: {
eventId: 'model-planning-fallback',
title: '准备兜底策略',
content: '如果模型等待过久或调用失败,会按保守规则继续识别,保证申请、报销和草稿流程还能推进。',
status: 'running'
}
}
]
}

View File

@@ -24,6 +24,14 @@ export function fetchStewardRuntimeDecision(payload, options = {}) {
})
}
export function executeStewardAction(payload, options = {}) {
return apiRequest('/steward/actions/execute', {
method: 'POST',
body: JSON.stringify(payload),
...options
})
}
export async function fetchStewardPlanStream(payload, handlers = {}, options = {}) {
const {
timeoutMs = 0,

View File

@@ -28,6 +28,13 @@ const AGENT_LABELS = {
expense: '报销助手'
}
const EXECUTABLE_STEWARD_ACTION_TYPES = new Set([
'save_application_draft',
'submit_application',
'create_reimbursement_draft',
'associate_attachments'
])
export function buildStewardPlanRequest({
rawText = '',
files = [],
@@ -102,10 +109,12 @@ export function normalizeStewardPlan(rawPlan = {}, options = {}) {
summary: String(item.summary || ''),
status: String(item.status || ''),
confidence: Number(item.confidence || 0),
requestedAction: String(item.requested_action || item.requestedAction || ''),
ontologyFields: item.ontology_fields || item.ontologyFields || {},
missingFields,
missingFieldItems: buildStewardFieldItems(missingFields, taskType),
confirmationRequired: item.confirmation_required ?? item.confirmationRequired ?? true
confirmationRequired: item.confirmation_required ?? item.confirmationRequired ?? true,
actionSteps: normalizeStewardActionSteps(item.action_steps || item.actionSteps)
}
})
: [],
@@ -137,6 +146,26 @@ export function normalizeStewardPlan(rawPlan = {}, options = {}) {
}
}
function normalizeStewardActionSteps(rawSteps = []) {
if (!Array.isArray(rawSteps)) {
return []
}
return rawSteps
.map((step) => ({
step_id: String(step?.step_id || step?.stepId || ''),
action_type: String(step?.action_type || step?.actionType || ''),
label: String(step?.label || ''),
target_task_id: String(step?.target_task_id || step?.targetTaskId || ''),
status: String(step?.status || 'planned'),
requires_confirmation: Boolean(step?.requires_confirmation ?? step?.requiresConfirmation),
depends_on: Array.isArray(step?.depends_on || step?.dependsOn)
? step.depends_on || step.dependsOn
: [],
payload: step?.payload && typeof step.payload === 'object' ? step.payload : {}
}))
.filter((step) => step.step_id && step.action_type)
}
export function buildStewardPlanMessageText(plan) {
const normalized = normalizeStewardPlan(plan)
if (isOffTopicPlan(normalized)) {
@@ -353,6 +382,7 @@ export function buildStewardSuggestedActions(plan) {
const targetSessionType = actionType === 'confirm_create_application'
? SESSION_TYPE_APPLICATION
: SESSION_TYPE_EXPENSE
const executableStep = resolveExecutableStewardActionStep(task)
return [
{
label: buildNextActionLabel(actionType, task),
@@ -372,6 +402,7 @@ export function buildStewardSuggestedActions(plan) {
steward_confirmation_id: String(action.confirmation_id || action.confirmationId || ''),
steward_plan_id: normalized.planId,
steward_next_task_id: task?.taskId || '',
...buildStewardExecuteActionPayload(executableStep, task),
steward_current_task: buildStewardTaskPayload(task),
steward_remaining_task_count: normalized.tasks.filter((item) => item.taskId !== task?.taskId).length,
steward_remaining_tasks: buildRemainingTaskPayload(normalized, task?.taskId)
@@ -380,6 +411,26 @@ export function buildStewardSuggestedActions(plan) {
]
}
function resolveExecutableStewardActionStep(task = null) {
const steps = Array.isArray(task?.actionSteps || task?.action_steps)
? task.actionSteps || task.action_steps
: []
return [...steps].reverse().find((step) => EXECUTABLE_STEWARD_ACTION_TYPES.has(String(step.action_type || step.actionType || ''))) || null
}
function buildStewardExecuteActionPayload(step, task) {
if (!step) {
return {}
}
return {
steward_execute_action: true,
steward_action_type: String(step.action_type || step.actionType || ''),
steward_action_step: step,
steward_action_requires_confirmation: Boolean(step.requires_confirmation ?? step.requiresConfirmation),
steward_action_task_id: task?.taskId || task?.task_id || ''
}
}
function normalizePendingFlowConfirmation(rawPlan = {}) {
const rawPending = rawPlan.pending_flow_confirmation || rawPlan.pendingFlowConfirmation || {}
const rawCandidates = Array.isArray(rawPlan.candidate_flows || rawPlan.candidateFlows)
@@ -779,7 +830,9 @@ function buildStewardTaskPayload(task) {
title: task.title || '',
summary: task.summary || '',
assigned_agent: task.assignedAgent || task.assigned_agent || '',
requested_action: task.requestedAction || task.requested_action || '',
ontology_fields: task.ontologyFields || task.ontology_fields || {},
missing_fields: task.missingFields || task.missing_fields || []
missing_fields: task.missingFields || task.missing_fields || [],
action_steps: task.actionSteps || task.action_steps || []
}
}

View File

@@ -51,6 +51,9 @@ import {
import {
shouldUseBudgetCompileReport
} from '../src/views/scripts/budgetAssistantReportModel.js'
import {
buildInlineApplicationPreview
} from '../src/composables/workbenchAiMode/workbenchAiApplicationPreviewModel.js'
import { resolveStewardTypewriterNextIndex } from '../src/views/scripts/stewardTypewriter.js'
import {
ASSISTANT_SCOPE_ACTION_SWITCH,
@@ -140,6 +143,14 @@ const flowScript = readFileSync(
fileURLToPath(new URL('../src/views/scripts/useTravelReimbursementFlow.js', import.meta.url)),
'utf8'
)
const personalWorkbenchAiModeScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/usePersonalWorkbenchAiMode.js', import.meta.url)),
'utf8'
)
const applicationPreviewFlowScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/useWorkbenchAiApplicationPreviewFlow.js', import.meta.url)),
'utf8'
)
function createFlowHarness() {
return useTravelReimbursementFlow({
@@ -241,6 +252,32 @@ test('application intent uses local preview instead of immediate orchestrator ca
assert.match(buildLocalApplicationPreviewMessage(preview), /点击对应行即可直接编辑/)
})
test('AI workbench routes compact travel direct-submit planner into application preview auto submit', () => {
assert.match(personalWorkbenchAiModeScript, /buildRuleFallbackWorkbenchAiIntentPlan/)
assert.match(personalWorkbenchAiModeScript, /normalizeWorkbenchAiIntentPlan/)
assert.match(personalWorkbenchAiModeScript, /resolveExecutableTravelApplicationPlan/)
assert.match(
personalWorkbenchAiModeScript,
/async function executeModelPlannedWorkbenchIntent\(cleanPrompt, entry = \{\}, files = \[\]\)/
)
assert.match(
personalWorkbenchAiModeScript,
/modelPlan = await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files\)/
)
assert.match(
personalWorkbenchAiModeScript,
/const rulePlan = buildRuleFallbackWorkbenchAiIntentPlan\(cleanPrompt\)/
)
assert.match(
personalWorkbenchAiModeScript,
/applicationFlow\.startAiApplicationPreview\([\s\S]*travelApplicationRequest\.expenseType[\s\S]*travelApplicationRequest\.expenseTypeLabel[\s\S]*travelApplicationRequest\.sourceText[\s\S]*ontologyFields:\s*travelApplicationRequest\.ontologyFields[\s\S]*autoSubmit:\s*travelApplicationRequest\.autoSubmit/
)
assert.doesNotMatch(personalWorkbenchAiModeScript, /fallbackIntentPlan/)
assert.match(applicationPreviewFlowScript, /if \(options\.autoSubmit && normalizeApplicationPreview\(preview\)\.readyToSubmit\)/)
assert.match(applicationPreviewFlowScript, /confirmed:\s*true/)
assert.match(applicationPreviewFlowScript, /skipUserMessage:\s*true/)
})
test('unsupported business guidance opens in assistant conversation form', () => {
const conversation = buildUnsupportedBusinessScopeConversation('你好')
@@ -366,6 +403,20 @@ test('application preview renders ordered editable rows and submit text uses edi
assert.match(buildApplicationPreviewSubmitText(editedPreview), /系统预估费用1900元/)
})
test('application preview keeps compact direct-submit command out of business reason', () => {
const preview = buildInlineApplicationPreview(
'差旅费',
'去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交',
{ grade: 'P5' }
)
assert.equal(preview.fields.location, '上海')
assert.equal(preview.fields.reason, '辅助国网仿生产服务器部署')
assert.equal(preview.fields.transportMode, '火车')
assert.equal(preview.readyToSubmit, false)
assert.deepEqual(preview.missingFields, ['出发时间', '天数'])
})
test('application estimate builds deterministic mock transport amount and total', () => {
const trainEstimate = buildMockApplicationTransportEstimate({ transportMode: '高铁', location: '上海' })
const datedTrainEstimate = buildMockApplicationTransportEstimate({

View File

@@ -0,0 +1,54 @@
import assert from 'node:assert/strict'
import { executeStewardAction } from '../src/services/steward.js'
async function testExecuteStewardActionUsesActionEndpoint() {
let capturedUrl = ''
let capturedOptions = null
global.fetch = async (url, options) => {
capturedUrl = String(url)
capturedOptions = options
return {
ok: true,
async json() {
return {
action_type: 'save_application_draft',
status: 'succeeded',
message: '申请草稿已保存。',
result_payload: {
draft_payload: {
claim_id: 'claim-action-draft',
claim_no: 'A12345678',
status: 'draft'
}
}
}
}
}
}
const payload = await executeStewardAction({
action_type: 'save_application_draft',
message: '保存草稿',
task: {
task_id: 'task-app-1',
task_type: 'expense_application'
}
})
assert.equal(capturedUrl, '/api/v1/steward/actions/execute')
assert.equal(capturedOptions.method, 'POST')
assert.equal(JSON.parse(capturedOptions.body).action_type, 'save_application_draft')
assert.equal(payload.status, 'succeeded')
}
async function run() {
await testExecuteStewardActionUsesActionEndpoint()
console.log('steward actions service tests passed')
}
run().catch((error) => {
console.error(error)
process.exit(1)
})

View File

@@ -71,3 +71,55 @@ test('steward plan summary guides bare reimbursement intent into scene selection
assert.match(action.description, /先进入报销助手选择具体费用类型/)
assert.equal(action.payload.carry_text, '我要报销')
})
test('steward suggested action carries server executable application action step', () => {
const plan = {
plan_id: 'plan-application-submit',
tasks: [
{
task_id: 'task-app-1',
task_type: 'expense_application',
title: '上海出差申请',
assigned_agent: 'application_assistant',
requested_action: 'submit',
ontology_fields: {
expense_type: 'travel',
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: 'train'
},
missing_fields: [],
action_steps: [
{ step_id: 'task-app-1:01', action_type: 'fill_application_fields', status: 'planned' },
{ step_id: 'task-app-1:02', action_type: 'build_application_preview', status: 'planned' },
{ step_id: 'task-app-1:03', action_type: 'validate_required_fields', status: 'planned' },
{ step_id: 'task-app-1:04', action_type: 'run_duplicate_precheck', status: 'planned' },
{
step_id: 'task-app-1:05',
action_type: 'submit_application',
status: 'pending_confirmation',
requires_confirmation: true
}
]
}
],
confirmation_groups: [
{
confirmation_id: 'confirm-task-app-1',
action_type: 'confirm_create_application',
target_task_id: 'task-app-1'
}
],
next_action: 'confirm_task'
}
const [action] = buildStewardSuggestedActions(plan)
assert.equal(action.payload.steward_execute_action, true)
assert.equal(action.payload.steward_action_type, 'submit_application')
assert.equal(action.payload.steward_action_step.step_id, 'task-app-1:05')
assert.equal(action.payload.steward_action_requires_confirmation, true)
assert.equal(action.payload.steward_current_task.requested_action, 'submit')
assert.equal(action.payload.steward_current_task.action_steps.at(-1).action_type, 'submit_application')
})

View File

@@ -245,3 +245,147 @@ test('workbench standalone draft action asks before creating a new reimbursement
label: '独立新建报销单'
})
})
test('workbench steward executable submit action runs precheck before submit and writes result message', async () => {
const requests = []
const originalFetch = globalThis.fetch
globalThis.fetch = async (_url, options = {}) => {
const body = JSON.parse(String(options.body || '{}'))
requests.push(body)
if (body.action_type === 'run_duplicate_precheck') {
return {
ok: true,
async json() {
return {
action_type: 'run_duplicate_precheck',
status: 'succeeded',
message: '未发现重复或冲突申请,可以继续提交。',
result_payload: {
status: 'ok',
blocking: false
}
}
}
}
}
return {
ok: true,
async json() {
return {
action_type: 'submit_application',
status: 'succeeded',
message: '申请已提交审批。',
result_payload: {
draft_payload: {
claim_id: 'claim-app-1',
claim_no: 'A1BCDEF2'
}
}
}
}
}
}
try {
const messages = []
let messageSeq = 0
const createInlineMessage = (role, content, options = {}) => ({
id: options.id || `msg-${++messageSeq}`,
role,
content,
pending: Boolean(options.pending),
suggestedActions: Array.isArray(options.suggestedActions) ? options.suggestedActions : []
})
const replaceInlineMessage = (id, nextMessage) => {
const index = messages.findIndex((item) => item.id === id)
if (index >= 0) {
messages.splice(index, 1, nextMessage)
}
}
let persisted = false
const router = useWorkbenchAiActionRouter({
aiExpenseDraft: { value: null },
applicationFlow: {
isInlineSuggestedActionDisabled: () => false,
executeInlineApplicationPreviewAction: () => {}
},
assistantDraft: { value: '' },
attachmentFlow: {
confirmAiAttachmentAssociation: () => {}
},
conversationMessages: { value: messages },
createInlineMessage,
emit: () => {},
expenseFlow: {
linkAiExpenseApplication: () => {},
pushInlineExpenseSceneSelectionPrompt: () => {},
startAiApplicationPreviewFromAction: () => {},
startAiExpenseDraft: () => {}
},
focusAiModeInput: () => {},
hasInlineAttachmentOcrDetails: () => false,
persistCurrentConversation: () => {
persisted = true
},
replaceInlineMessage,
resolveLatestInlineUserPrompt: () => '2026-02-20 至 2026-02-23去上海出差交通火车直接提交',
scrollInlineConversationToBottom: () => {},
selectedFiles: { value: [] },
startInlineConversation: () => {},
toast: () => {},
toggleInlineAttachmentOcrDetails: () => {}
})
const sourceMessage = {
suggestedActionsLocked: false
}
await router.handleInlineSuggestedAction({
label: '确认提交申请',
action_type: 'switch_session',
payload: {
steward_execute_action: true,
steward_plan_id: 'plan-submit-1',
steward_action_type: 'submit_application',
steward_action_requires_confirmation: true,
steward_action_step: {
step_id: 'task-app-1:05',
action_type: 'submit_application',
requires_confirmation: true
},
steward_current_task: {
task_id: 'task-app-1',
task_type: 'expense_application',
assigned_agent: 'application_assistant',
title: '上海出差申请',
summary: '2026-02-20 至 2026-02-23 去上海出差,交通火车。',
requested_action: 'submit',
ontology_fields: {
expense_type: 'travel',
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: 'train'
},
missing_fields: [],
action_steps: [
{ step_id: 'task-app-1:04', action_type: 'run_duplicate_precheck' },
{ step_id: 'task-app-1:05', action_type: 'submit_application', requires_confirmation: true }
]
},
carry_text: '2026-02-20 至 2026-02-23去上海出差交通火车直接提交'
}
}, sourceMessage)
assert.equal(requests.length, 2)
assert.equal(requests[0].action_type, 'run_duplicate_precheck')
assert.equal(requests[1].action_type, 'submit_application')
assert.equal(requests[1].confirmed, true)
assert.equal(requests[1].context_json.precheck_result.status, 'ok')
assert.equal(sourceMessage.suggestedActionsLocked, true)
assert.equal(persisted, true)
assert.match(messages.at(-1).content, /申请已提交审批/)
assert.equal(messages.at(-1).suggestedActions[0].action_type, 'open_application_detail')
} finally {
globalThis.fetch = originalFetch
}
})

View File

@@ -0,0 +1,166 @@
import assert from 'node:assert/strict'
import test from 'node:test'
import { useWorkbenchAiApplicationPreviewFlow } from '../src/composables/workbenchAiMode/useWorkbenchAiApplicationPreviewFlow.js'
function createRef(value) {
return { value }
}
function createInlineMessage(role, content, options = {}) {
return {
id: options.id || `msg-${Math.random().toString(16).slice(2)}`,
role,
content,
text: content,
paragraphs: String(content || '').split(/\n+/).filter(Boolean),
pending: Boolean(options.pending),
...options
}
}
function buildApplicationPreviewFlowHarness(messages) {
const conversationMessages = createRef(messages)
const applicationSubmitConfirmOpen = createRef(false)
const applicationSubmitConfirmContext = createRef(null)
const persisted = createRef(0)
const flow = useWorkbenchAiApplicationPreviewFlow({
activateInlineConversation: () => {},
applicationPreviewEditor: createRef({}),
applicationSubmitConfirmContext,
applicationSubmitConfirmOpen,
assistantDraft: createRef(''),
cancelApplicationPreviewEditor: () => {},
clearAiModeFiles: () => {},
closeWorkbenchDatePicker: () => {},
commitApplicationPreviewEditor: async () => true,
conversationId: createRef('conversation-context-submit'),
conversationMessages,
conversationStarted: createRef(true),
createInlineMessage,
currentUser: createRef({ username: 'zhangsan@example.com', name: '张三' }),
handleApplicationPreviewEditorKeydown: () => {},
inlineConversationAutoScrollPinned: createRef(true),
isApplicationPreviewEditing: createRef(false),
openApplicationPreviewEditor: () => {},
persistCurrentConversation: () => { persisted.value += 1 },
pushInlineApplicationActionUserMessage: (text) => {
conversationMessages.value.push(createInlineMessage('user', text))
},
pushInlineUserMessage: (text) => {
conversationMessages.value.push(createInlineMessage('user', text))
},
refreshApplicationPreviewEstimate: async (preview) => preview,
removeWorkbenchDateTag: () => {},
replaceInlineMessage: (id, nextMessage) => {
const index = conversationMessages.value.findIndex((item) => item.id === id)
if (index >= 0) {
conversationMessages.value.splice(index, 1, nextMessage)
} else {
conversationMessages.value.push(nextMessage)
}
},
resolveApplicationPreviewEditorDateMax: () => '',
resolveApplicationPreviewEditorDateMin: () => '',
resolveApplicationPreviewEditorControl: () => null,
resolveApplicationPreviewEditorOptions: () => [],
resolveInlineThinkingEvents: (message) => message?.stewardPlan?.thinkingEvents || [],
resolveLatestInlineUserPrompt: () => '2026-02-20 至 2026-02-23去上海出差交通火车保存草稿',
scrollInlineConversationToBottom: () => {},
sending: createRef(false),
toast: () => {}
})
return {
applicationSubmitConfirmOpen,
conversationMessages,
flow,
persisted
}
}
test('workbench saved application draft can be submitted by contextual text without re-planning', async () => {
const originalFetch = globalThis.fetch
const requests = []
globalThis.fetch = async (url, options = {}) => {
const normalizedUrl = String(url)
if (normalizedUrl.includes('/reimbursements/claims')) {
return {
ok: true,
async json() {
return { items: [] }
}
}
}
if (normalizedUrl.includes('/reimbursements/application-preview-action')) {
const body = JSON.parse(String(options.body || '{}'))
requests.push({ url: normalizedUrl, body })
return {
ok: true,
async json() {
return {
status: 'succeeded',
result: {
draft_payload: {
claim_id: 'claim-saved-draft',
claim_no: 'A20260220',
status: 'submitted',
approval_stage: '直属领导审批'
}
}
}
}
}
}
throw new Error(`unexpected request: ${normalizedUrl}`)
}
try {
const previewMessage = createInlineMessage('assistant', '申请核对表', {
id: 'application-preview-1',
applicationPreview: {
readyToSubmit: true,
fields: {
applicationType: '差旅费用申请',
time: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
days: '4天',
transportMode: '火车',
amount: '1200元'
},
missingFields: [],
validationIssues: []
},
draftPayload: {
claim_id: 'claim-saved-draft',
claim_no: 'A20260220',
status: 'draft'
}
})
const harness = buildApplicationPreviewFlowHarness([
createInlineMessage('user', '2026-02-20 至 2026-02-23去上海出差交通火车保存草稿'),
previewMessage,
createInlineMessage('assistant', '### 申请草稿已保存', {
draftPayload: previewMessage.draftPayload
})
])
const handled = harness.flow.handleInlineApplicationPreviewTextAction(
'提交这个单据',
createRef(false)
)
assert.equal(handled, true)
await new Promise((resolve) => setTimeout(resolve, 0))
assert.equal(harness.applicationSubmitConfirmOpen.value, false)
assert.equal(requests.length, 1)
assert.equal(requests[0].body.context_json.application_edit_claim_id, 'claim-saved-draft')
assert.equal(requests[0].body.context_json.application_edit_mode, true)
assert.match(harness.conversationMessages.value.at(-1).content, /申请单据已生成/)
assert.ok(harness.persisted.value > 0)
} finally {
globalThis.fetch = originalFetch
}
})

View File

@@ -4,6 +4,7 @@ import test from 'node:test'
import {
isOrphanInlineApplicationPreviewMessage,
isReimbursementCreationIntent,
resolveInlineTravelApplicationRequest,
resolveInlineApplicationPreviewTextAction,
resolveLatestApplicationPreviewMessage,
resolveLatestOrphanApplicationPreviewMessage
@@ -28,9 +29,24 @@ test('workbench application gate resolves save and submit text actions consisten
assert.equal(resolveInlineApplicationPreviewTextAction(' 先保存 '), AI_APPLICATION_ACTION_SAVE_DRAFT)
assert.equal(resolveInlineApplicationPreviewTextAction('确认提交'), AI_APPLICATION_ACTION_SUBMIT)
assert.equal(resolveInlineApplicationPreviewTextAction('直接提交'), AI_APPLICATION_ACTION_SUBMIT)
assert.equal(resolveInlineApplicationPreviewTextAction('提交这个单据'), AI_APPLICATION_ACTION_SUBMIT)
assert.equal(resolveInlineApplicationPreviewTextAction('提交这个申请单'), AI_APPLICATION_ACTION_SUBMIT)
assert.equal(resolveInlineApplicationPreviewTextAction('继续修改'), '')
})
test('workbench application gate detects compact travel application direct submit intent', () => {
const request = resolveInlineTravelApplicationRequest('去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交')
assert.deepEqual(request, {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: '去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交',
autoSubmit: true
})
assert.equal(resolveInlineTravelApplicationRequest('去上海出差,辅助国网仿生产服务器部署,交通火车')?.autoSubmit, false)
assert.equal(resolveInlineTravelApplicationRequest('帮我查询上海差旅标准'), null)
})
test('workbench application gate resolves latest live or orphan preview message', () => {
const messages = [
{ id: 'user-1', role: 'user', content: '2月去上海出差' },

View File

@@ -0,0 +1,331 @@
import assert from 'node:assert/strict'
import { readFileSync } from 'node:fs'
import test from 'node:test'
import { fileURLToPath } from 'node:url'
import {
WORKBENCH_AI_INTENT_SOURCE_MODEL,
WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK,
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT,
WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
WORKBENCH_AI_STEP_SUBMIT_APPLICATION,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
buildRuleFallbackWorkbenchAiIntentPlan,
normalizeWorkbenchAiIntentPlan,
resolveExecutableTravelApplicationPlan,
shouldRequestWorkbenchAiIntentPlan
} from '../src/composables/workbenchAiMode/workbenchAiIntentPlannerModel.js'
import { buildInlineApplicationPreview } from '../src/composables/workbenchAiMode/workbenchAiApplicationPreviewModel.js'
const personalWorkbenchAiModeScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/usePersonalWorkbenchAiMode.js', import.meta.url)),
'utf8'
)
const stewardFlowScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/useWorkbenchAiStewardFlow.js', import.meta.url)),
'utf8'
)
const applicationPreviewFlowScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/useWorkbenchAiApplicationPreviewFlow.js', import.meta.url)),
'utf8'
)
const planningThinkingModelScript = readFileSync(
fileURLToPath(new URL('../src/composables/workbenchAiMode/workbenchAiPlanningThinkingModel.js', import.meta.url)),
'utf8'
)
test('workbench AI intent planner normalizes model travel application submit plan into executable steps', () => {
const plan = normalizeWorkbenchAiIntentPlan({
planning_source: 'llm_function_call',
tasks: [{
task_type: 'expense_application',
assigned_agent: 'application_assistant',
requested_action: 'submit',
confidence: 0.91,
ontology_fields: {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: '火车'
}
}]
}, {
prompt: '去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交'
})
assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_MODEL)
assert.equal(plan.intent, 'create_travel_application')
assert.equal(plan.requestedAction, 'submit')
assert.deepEqual(plan.steps, [
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
WORKBENCH_AI_STEP_SUBMIT_APPLICATION
])
assert.deepEqual(plan.ontologyFields, {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: '火车'
})
assert.deepEqual(plan.slots, {
timeRange: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transportMode: '火车'
})
})
test('workbench AI intent planner prefers server action steps when present', () => {
const plan = normalizeWorkbenchAiIntentPlan({
planning_source: 'llm_function_call',
tasks: [{
task_type: 'expense_application',
assigned_agent: 'application_assistant',
requested_action: 'submit',
confidence: 0.91,
ontology_fields: {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: '火车'
},
action_steps: [
{ action_type: 'fill_application_fields' },
{ action_type: 'build_application_preview' },
{ action_type: 'validate_required_fields' },
{ action_type: 'save_application_draft' }
]
}]
}, {
prompt: '2026-02-20 至 2026-02-23去上海出差辅助国网仿生产服务器部署交通火车直接提交'
})
assert.deepEqual(plan.steps, [
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT
])
})
test('workbench AI intent planner falls back to rule plan for compact travel direct submit', () => {
const plan = buildRuleFallbackWorkbenchAiIntentPlan('去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交')
assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
assert.equal(plan.intent, 'create_travel_application')
assert.equal(plan.requestedAction, 'submit')
assert.deepEqual(plan.steps, [
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
WORKBENCH_AI_STEP_SUBMIT_APPLICATION
])
})
test('workbench AI intent planner detects compact travel save-draft variant before rules are enough', () => {
const prompt = '2026-02-20 至 2026-02-23上海出差国网仿生产服务器部署火车保存草稿。'
const plan = buildRuleFallbackWorkbenchAiIntentPlan(prompt)
assert.equal(shouldRequestWorkbenchAiIntentPlan(prompt), true)
assert.equal(shouldRequestWorkbenchAiIntentPlan('帮我查询上海差旅标准'), true)
assert.equal(shouldRequestWorkbenchAiIntentPlan('1'), false)
assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
assert.equal(plan.intent, 'create_travel_application')
assert.equal(plan.requestedAction, 'save_draft')
assert.deepEqual(plan.steps, [
WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT
])
assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: prompt,
ontologyFields: {},
autoSubmit: false,
autoSaveDraft: true
})
})
test('workbench AI intent planner turns model fields and action into executable application preview payload', () => {
const prompt = '2026-02-20 至 2026-02-23上海出差国网仿生产服务器部署火车保存草稿。'
const plan = normalizeWorkbenchAiIntentPlan({
planning_source: 'llm_function_call',
tasks: [{
task_type: 'expense_application',
assigned_agent: 'application_assistant',
requested_action: 'save_draft',
confidence: 0.95,
ontology_fields: {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '国网仿生产服务器部署',
transport_mode: '火车'
},
missing_fields: []
}]
}, { prompt })
assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: prompt,
ontologyFields: {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '国网仿生产服务器部署',
transport_mode: '火车'
},
autoSubmit: false,
autoSaveDraft: true
})
})
test('workbench AI intent planner turns single application candidate flow into executable preview payload', () => {
const prompt = '2026-02-20 至 2026-02-23去上海出差辅助国网仿生产服务器部署交通火车'
const plan = normalizeWorkbenchAiIntentPlan({
planning_source: 'rule_fallback',
plan_status: 'needs_flow_confirmation',
pending_flow_confirmation: {
status: 'pending',
candidate_flows: [{
flow_id: 'travel_application',
label: '先发起出差申请',
confidence: 0.86,
ontology_fields: {
expense_type: 'travel',
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: '火车'
},
missing_fields: []
}]
}
}, { prompt })
assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
assert.equal(plan.intent, 'create_travel_application')
assert.equal(plan.requestedAction, 'preview')
assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: prompt,
ontologyFields: {
expense_type: 'travel',
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '辅助国网仿生产服务器部署',
transport_mode: '火车'
},
autoSubmit: false,
autoSaveDraft: false
})
})
test('workbench AI application preview prefers model ontology fields over local text guesses', () => {
const preview = buildInlineApplicationPreview(
'差旅费',
'2026-02-20 至 2026-02-23上海出差国网仿生产服务器部署火车保存草稿。',
{ name: '李文静', grade: 'P5', location: '武汉' },
{
ontologyFields: {
time_range: '2026-02-20 至 2026-02-23',
location: '上海',
reason: '国网仿生产服务器部署',
transport_mode: '火车'
}
}
)
assert.equal(preview.fields.time, '2026-02-20 至 2026-02-23')
assert.equal(preview.fields.location, '上海')
assert.equal(preview.fields.reason, '国网仿生产服务器部署')
assert.equal(preview.fields.transportMode, '火车')
})
test('workbench AI intent planner rejects policy question and resolves executable application request', () => {
assert.equal(buildRuleFallbackWorkbenchAiIntentPlan('帮我查询上海差旅标准'), null)
const request = resolveExecutableTravelApplicationPlan(
buildRuleFallbackWorkbenchAiIntentPlan('去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交')
)
assert.deepEqual(request, {
expenseType: 'travel',
expenseTypeLabel: '差旅费',
sourceText: '去上海出差,辅助国网仿生产服务器部署,交通火车,直接提交',
ontologyFields: {},
autoSubmit: true,
autoSaveDraft: false
})
})
test('workbench AI mode asks steward model plan before fallback execution', () => {
assert.match(stewardFlowScript, /async function resolveInlineExecutionPlan\(prompt, entry = \{\}, files = \[\], options = \{\}\)/)
assert.match(stewardFlowScript, /fetchStewardPlan\(planRequest/)
assert.match(stewardFlowScript, /timeoutMs:\s*35000/)
assert.match(personalWorkbenchAiModeScript, /async function executeModelPlannedWorkbenchIntent\(cleanPrompt, entry = \{\}, files = \[\]\)/)
assert.match(personalWorkbenchAiModeScript, /await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files,\s*\{/)
assert.match(personalWorkbenchAiModeScript, /normalizeWorkbenchAiIntentPlan\(modelPlan,\s*\{\s*prompt:\s*cleanPrompt/)
assert.match(personalWorkbenchAiModeScript, /buildRuleFallbackWorkbenchAiIntentPlan\(cleanPrompt\)/)
assert.match(personalWorkbenchAiModeScript, /shouldRequestWorkbenchAiIntentPlan\(cleanPrompt\)/)
assert.match(personalWorkbenchAiModeScript, /resolveExecutableTravelApplicationPlan\(intentPlan\)/)
assert.doesNotMatch(personalWorkbenchAiModeScript, /fallbackIntentPlan/)
assert.match(personalWorkbenchAiModeScript, /autoSaveDraft:\s*travelApplicationRequest\.autoSaveDraft/)
assert.match(personalWorkbenchAiModeScript, /ontologyFields:\s*travelApplicationRequest\.ontologyFields/)
assert.match(applicationPreviewFlowScript, /options\.autoSaveDraft/)
assert.match(applicationPreviewFlowScript, /ontologyFields:\s*options\.ontologyFields/)
assert.match(applicationPreviewFlowScript, /executeInlineApplicationPreviewAction\(AI_APPLICATION_ACTION_SAVE_DRAFT/)
assert.match(applicationPreviewFlowScript, /buildInlineApplicationPreview\([\s\S]*ontologyFields:\s*options\.ontologyFields/)
assert.doesNotMatch(personalWorkbenchAiModeScript, /const travelApplicationRequest = resolveInlineTravelApplicationRequest\(cleanPrompt\)/)
})
test('workbench AI mode shows a visible planning response before waiting for steward model plan', () => {
assert.match(personalWorkbenchAiModeScript, /function startModelPlanningConversation\(cleanPrompt, entry = \{\}\)/)
assert.match(personalWorkbenchAiModeScript, /conversationMessages\.value\.push\(createInlineMessage\('user', cleanPrompt\)\)/)
assert.match(personalWorkbenchAiModeScript, /正在识别意图,准备拆解申请、报销和附件任务/)
assert.match(
personalWorkbenchAiModeScript,
/const plannerPendingMessage = startModelPlanningConversation\(cleanPrompt, entry\)[\s\S]*await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files,\s*\{/
)
assert.match(
personalWorkbenchAiModeScript,
/pendingMessageId:\s*plannerPendingMessage\?\.id/
)
assert.match(applicationPreviewFlowScript, /options\.pendingMessageId/)
})
test('workbench AI mode streams planning thinking into the pending message', () => {
assert.match(planningThinkingModelScript, /buildModelPlanningProgressSchedule/)
assert.match(planningThinkingModelScript, /判断办理意图/)
assert.match(planningThinkingModelScript, /抽取关键信息/)
assert.match(planningThinkingModelScript, /规划执行步骤/)
assert.match(planningThinkingModelScript, /准备兜底策略/)
assert.match(personalWorkbenchAiModeScript, /function startModelPlanningProgressUpdates\(messageId\)/)
assert.match(personalWorkbenchAiModeScript, /globalThis\.setTimeout\(\(\) => \{\s*updateModelPlanningThinkingEvent\(messageId, event\)/)
assert.match(personalWorkbenchAiModeScript, /const stopPlanningProgressUpdates = startModelPlanningProgressUpdates\(plannerPendingMessage\.id\)/)
assert.match(personalWorkbenchAiModeScript, /stopPlanningProgressUpdates\(\)/)
assert.match(
personalWorkbenchAiModeScript,
/await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files,\s*\{\s*pendingMessageId:\s*plannerPendingMessage\.id\s*\}\)/
)
assert.match(stewardFlowScript, /async function resolveInlineExecutionPlan\(prompt, entry = \{\}, files = \[\], options = \{\}\)/)
assert.match(stewardFlowScript, /fetchInlineStewardPlan\(planningMessageId, planRequest,\s*\{[\s\S]*includeAnswerDelta:\s*false/)
assert.match(applicationPreviewFlowScript, /mergeWorkbenchAiThinkingEvents\(previousThinkingEvents,\s*\[/)
})
test('workbench AI mode reuses planning pending message for regular steward replies', () => {
assert.match(
personalWorkbenchAiModeScript,
/stewardFlow\.requestInlineAssistantReply\(cleanPrompt, entry, files,\s*\{\s*pendingMessageId:\s*plannerPendingMessage\.id\s*\}\)/
)
assert.doesNotMatch(
personalWorkbenchAiModeScript,
/replaceInlineMessage\(plannerPendingMessage\.id,\s*createInlineMessage\('assistant', '已完成意图识别,继续为您整理回复。'/
)
assert.match(stewardFlowScript, /async function requestInlineAssistantReply\(prompt, entry = \{\}, files = \[\], options = \{\}\)/)
assert.match(stewardFlowScript, /const reusablePendingMessageId = String\(options\.pendingMessageId \|\| ''\)\.trim\(\)/)
assert.match(stewardFlowScript, /reusablePendingMessageId \? replaceInlineMessage\(reusablePendingMessageId, pendingMessage\) : conversationMessages\.value\.push\(pendingMessage\)/)
})