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