43779f8f2c
onPreviewReadyForNextTask 在 task1 申请核对表刚生成、用户还没操作时就 提前拉起 task2,与用户后续在 task1 上的保存草稿/提交操作互相打架,导致 task2 完全无反应。移除该提前推进回调,统一由 onApplicationActionCompleted 在 task1 真正完成后再推进 task2。 - useWorkbenchAiApplicationPreviewFlow: 删除预览生成时的提前推进分支 - usePersonalWorkbenchAiMode: startModelPlannedApplicationPreview 不再传 onPreviewReadyForNextTask - useWorkbenchAiActionRouter: 低置信确认按钮分支同步删除该回调 - 新增时序回归测试:预览生成不提前推进、保存草稿后才推进 - 更新两处源码正则断言为 doesNotMatch
482 lines
22 KiB
JavaScript
482 lines
22 KiB
JavaScript
import assert from 'node:assert/strict'
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import { readFileSync } from 'node:fs'
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import test from 'node:test'
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import { fileURLToPath } from 'node:url'
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import {
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WORKBENCH_AI_INTENT_SOURCE_MODEL,
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WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK,
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WORKBENCH_AI_STEP_BUILD_APPLICATION_PREVIEW,
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WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT,
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WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
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WORKBENCH_AI_STEP_SUBMIT_APPLICATION,
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WORKBENCH_AI_STEP_VALIDATE_REQUIRED_FIELDS,
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buildRuleFallbackWorkbenchAiIntentPlan,
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isLowConfidenceTravelApplicationPlan,
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normalizeWorkbenchAiIntentPlan,
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resolveExecutableTravelApplicationPlan,
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shouldRequestWorkbenchAiIntentPlan
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} from '../src/composables/workbenchAiMode/workbenchAiIntentPlannerModel.js'
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import { buildInlineApplicationPreview } from '../src/composables/workbenchAiMode/workbenchAiApplicationPreviewModel.js'
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import { createWorkbenchAiMessageRuntime } from '../src/composables/workbenchAiMode/workbenchAiMessageModel.js'
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const personalWorkbenchAiModeScript = readFileSync(
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fileURLToPath(new URL('../src/composables/workbenchAiMode/usePersonalWorkbenchAiMode.js', import.meta.url)),
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'utf8'
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)
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const stewardFlowScript = readFileSync(
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fileURLToPath(new URL('../src/composables/workbenchAiMode/useWorkbenchAiStewardFlow.js', import.meta.url)),
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'utf8'
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)
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const applicationPreviewFlowScript = readFileSync(
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fileURLToPath(new URL('../src/composables/workbenchAiMode/useWorkbenchAiApplicationPreviewFlow.js', import.meta.url)),
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'utf8'
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)
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const planningThinkingModelScript = readFileSync(
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fileURLToPath(new URL('../src/composables/workbenchAiMode/workbenchAiPlanningThinkingModel.js', import.meta.url)),
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'utf8'
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)
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test('workbench AI intent planner normalizes model travel application submit plan into executable steps', () => {
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const plan = normalizeWorkbenchAiIntentPlan({
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planning_source: 'llm_function_call',
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tasks: [{
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task_type: 'expense_application',
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assigned_agent: 'application_assistant',
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requested_action: 'submit',
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confidence: 0.91,
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ontology_fields: {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transport_mode: '火车'
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}
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}]
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}, {
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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'
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})
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assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_MODEL)
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assert.equal(plan.intent, 'create_travel_application')
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assert.equal(plan.requestedAction, 'submit')
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assert.deepEqual(plan.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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WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
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WORKBENCH_AI_STEP_SUBMIT_APPLICATION
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])
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assert.deepEqual(plan.ontologyFields, {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transport_mode: '火车'
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})
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assert.deepEqual(plan.slots, {
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timeRange: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transportMode: '火车'
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})
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})
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test('workbench AI intent planner keeps reimbursement task after first application task', () => {
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const reimbursementTask = {
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task_id: 'task-reimbursement-2',
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task_type: 'reimbursement',
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assigned_agent: 'reimbursement_assistant',
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title: '业务招待费报销',
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summary: '报销昨天的业务招待费 2000 元',
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requested_action: 'preview',
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confidence: 0.9,
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ontology_fields: {
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expense_type: 'entertainment',
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expense_type_label: '业务招待费',
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time_range: '2026-06-25',
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amount: '2000元',
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reason: '业务招待'
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},
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missing_fields: []
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}
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const plan = normalizeWorkbenchAiIntentPlan({
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planning_source: 'llm_function_call',
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tasks: [{
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task_id: 'task-application-1',
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task_type: 'expense_application',
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assigned_agent: 'application_assistant',
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requested_action: 'preview',
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confidence: 0.93,
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ontology_fields: {
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expense_type: 'travel',
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '服务国网服务器部署'
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},
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missing_fields: ['transport_mode']
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}, reimbursementTask]
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}, {
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prompt: '2月20-23日去上海出差3天，服务国网服务器部署，并且报销昨天的业务招待费2000元'
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})
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assert.deepEqual(plan.stewardRemainingTasks, [reimbursementTask])
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assert.deepEqual(resolveExecutableTravelApplicationPlan(plan).stewardRemainingTasks, [reimbursementTask])
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})
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test('workbench AI intent planner prefers server action steps when present', () => {
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const plan = normalizeWorkbenchAiIntentPlan({
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planning_source: 'llm_function_call',
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tasks: [{
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task_type: 'expense_application',
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assigned_agent: 'application_assistant',
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requested_action: 'submit',
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confidence: 0.91,
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ontology_fields: {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transport_mode: '火车'
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},
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action_steps: [
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{ action_type: 'fill_application_fields' },
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{ action_type: 'build_application_preview' },
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{ action_type: 'validate_required_fields' },
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{ action_type: 'save_application_draft' }
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]
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}]
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}, {
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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'
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})
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assert.deepEqual(plan.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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WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT
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])
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})
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test('workbench AI intent planner falls back to rule plan for compact travel direct submit', () => {
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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')
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assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
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assert.equal(plan.intent, 'create_travel_application')
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assert.equal(plan.requestedAction, 'submit')
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assert.deepEqual(plan.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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WORKBENCH_AI_STEP_RUN_DUPLICATE_PRECHECK,
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WORKBENCH_AI_STEP_SUBMIT_APPLICATION
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])
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})
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test('workbench AI intent planner detects compact travel save-draft variant before rules are enough', () => {
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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。'
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const plan = buildRuleFallbackWorkbenchAiIntentPlan(prompt)
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assert.equal(shouldRequestWorkbenchAiIntentPlan(prompt), true)
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assert.equal(shouldRequestWorkbenchAiIntentPlan('帮我查询上海差旅标准'), true)
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assert.equal(shouldRequestWorkbenchAiIntentPlan('1'), false)
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assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
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assert.equal(plan.intent, 'create_travel_application')
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assert.equal(plan.requestedAction, 'save_draft')
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assert.deepEqual(plan.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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WORKBENCH_AI_STEP_SAVE_APPLICATION_DRAFT
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])
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assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
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expenseType: 'travel',
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expenseTypeLabel: '差旅费',
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sourceText: prompt,
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ontologyFields: {},
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autoSubmit: false,
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autoSaveDraft: true,
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requestedSubmit: false,
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submitRequiresConfirmation: false
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})
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})
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test('workbench AI intent planner turns model fields and action into executable application preview payload', () => {
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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。'
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const plan = normalizeWorkbenchAiIntentPlan({
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planning_source: 'llm_function_call',
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tasks: [{
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task_type: 'expense_application',
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assigned_agent: 'application_assistant',
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requested_action: 'save_draft',
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confidence: 0.95,
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ontology_fields: {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '国网仿生产服务器部署',
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transport_mode: '火车'
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},
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missing_fields: []
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}]
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}, { prompt })
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assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
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expenseType: 'travel',
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expenseTypeLabel: '差旅费',
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sourceText: prompt,
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ontologyFields: {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '国网仿生产服务器部署',
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transport_mode: '火车'
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},
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autoSubmit: false,
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autoSaveDraft: true,
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requestedSubmit: false,
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submitRequiresConfirmation: false
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})
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})
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test('workbench AI intent planner turns single application candidate flow into executable preview payload', () => {
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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'
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const plan = normalizeWorkbenchAiIntentPlan({
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planning_source: 'rule_fallback',
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plan_status: 'needs_flow_confirmation',
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pending_flow_confirmation: {
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status: 'pending',
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candidate_flows: [{
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flow_id: 'travel_application',
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label: '先发起出差申请',
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confidence: 0.86,
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ontology_fields: {
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expense_type: 'travel',
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transport_mode: '火车'
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},
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missing_fields: []
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}]
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}
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}, { prompt })
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assert.equal(plan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
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assert.equal(plan.intent, 'create_travel_application')
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assert.equal(plan.requestedAction, 'preview')
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assert.deepEqual(resolveExecutableTravelApplicationPlan(plan), {
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expenseType: 'travel',
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expenseTypeLabel: '差旅费',
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sourceText: prompt,
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ontologyFields: {
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expense_type: 'travel',
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '辅助国网仿生产服务器部署',
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transport_mode: '火车'
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},
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autoSubmit: false,
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autoSaveDraft: false,
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requestedSubmit: false,
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submitRequiresConfirmation: false
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})
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})
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test('workbench AI application preview prefers model ontology fields over local text guesses', () => {
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const preview = buildInlineApplicationPreview(
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'差旅费',
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'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。',
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{ name: '李文静', grade: 'P5', location: '武汉' },
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{
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ontologyFields: {
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time_range: '2026-02-20 至 2026-02-23',
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location: '上海',
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reason: '国网仿生产服务器部署',
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transport_mode: '火车'
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}
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}
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)
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assert.equal(preview.fields.time, '2026-02-20 至 2026-02-23')
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assert.equal(preview.fields.location, '上海')
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assert.equal(preview.fields.reason, '国网仿生产服务器部署')
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assert.equal(preview.fields.transportMode, '火车')
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})
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test('workbench AI intent planner rejects policy question and requires confirmation for direct-submit request', () => {
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assert.equal(buildRuleFallbackWorkbenchAiIntentPlan('帮我查询上海差旅标准'), null)
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const request = resolveExecutableTravelApplicationPlan(
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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')
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)
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assert.deepEqual(request, {
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expenseType: 'travel',
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expenseTypeLabel: '差旅费',
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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',
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ontologyFields: {},
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autoSubmit: false,
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autoSaveDraft: false,
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requestedSubmit: true,
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submitRequiresConfirmation: true
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})
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})
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test('workbench AI message runtime persists direct-submit confirmation metadata', () => {
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const { createInlineMessage, normalizeRuntimeMessage, serializeRuntimeMessage } = createWorkbenchAiMessageRuntime()
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const message = createInlineMessage('assistant', '申请核对表', {
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applicationPreview: { fields: { location: '上海' } },
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requestedSubmit: true,
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submitRequiresConfirmation: true
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})
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const serialized = serializeRuntimeMessage(message)
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assert.equal(serialized.requestedSubmit, true)
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assert.equal(serialized.submitRequiresConfirmation, true)
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const normalized = normalizeRuntimeMessage(serialized)
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assert.equal(normalized.requestedSubmit, true)
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assert.equal(normalized.submitRequiresConfirmation, true)
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})
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test('workbench AI mode asks steward model plan before fallback execution', () => {
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assert.match(stewardFlowScript, /async function resolveInlineExecutionPlan\(prompt, entry = \{\}, files = \[\], options = \{\}\)/)
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assert.match(stewardFlowScript, /fetchStewardPlan\(planRequest/)
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assert.match(stewardFlowScript, /timeoutMs:\s*35000/)
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assert.match(personalWorkbenchAiModeScript, /async function executeModelPlannedWorkbenchIntent\(cleanPrompt, entry = \{\}, files = \[\]\)/)
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assert.match(personalWorkbenchAiModeScript, /await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files,\s*\{/)
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assert.match(personalWorkbenchAiModeScript, /normalizeWorkbenchAiIntentPlan\(modelPlan,\s*\{\s*prompt:\s*cleanPrompt/)
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assert.match(personalWorkbenchAiModeScript, /buildRuleFallbackWorkbenchAiIntentPlan\(cleanPrompt\)/)
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assert.match(personalWorkbenchAiModeScript, /shouldRequestWorkbenchAiIntentPlan\(cleanPrompt\)/)
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assert.match(personalWorkbenchAiModeScript, /resolveExecutableTravelApplicationPlan\(intentPlan\)/)
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assert.doesNotMatch(personalWorkbenchAiModeScript, /fallbackIntentPlan/)
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assert.match(personalWorkbenchAiModeScript, /autoSaveDraft:\s*travelApplicationRequest\.autoSaveDraft/)
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assert.match(personalWorkbenchAiModeScript, /requestedSubmit:\s*travelApplicationRequest\.requestedSubmit/)
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assert.match(personalWorkbenchAiModeScript, /submitRequiresConfirmation:\s*travelApplicationRequest\.submitRequiresConfirmation/)
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assert.match(personalWorkbenchAiModeScript, /ontologyFields:\s*travelApplicationRequest\.ontologyFields/)
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assert.match(personalWorkbenchAiModeScript, /stewardRemainingTasks:\s*travelApplicationRequest\.stewardRemainingTasks/)
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assert.match(personalWorkbenchAiModeScript, /onApplicationActionCompleted:\s*startModelPlannedNextTask/)
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// 多 task 串行推进:预览生成时不再提前拉起下一个 task(会与用户在 task1 上的操作互相打架),
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// 改为只在 task1 完成(保存草稿/提交)后通过 onApplicationActionCompleted 推进 task2。
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assert.doesNotMatch(personalWorkbenchAiModeScript, /onPreviewReadyForNextTask/)
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assert.match(applicationPreviewFlowScript, /options\.autoSaveDraft/)
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assert.doesNotMatch(applicationPreviewFlowScript, /onPreviewReadyForNextTask/)
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assert.match(applicationPreviewFlowScript, /const actionCompletedHandler = typeof options\.onApplicationActionCompleted === 'function'/)
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assert.match(applicationPreviewFlowScript, /actionCompletedHandler\(targetMessage\.stewardRemainingTasks/)
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assert.match(applicationPreviewFlowScript, /onApplicationActionCompleted:\s*options\.onApplicationActionCompleted/)
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assert.doesNotMatch(applicationPreviewFlowScript, /options\.autoSubmit && normalizeApplicationPreview\(preview\)\.readyToSubmit/)
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assert.match(applicationPreviewFlowScript, /ontologyFields:\s*options\.ontologyFields/)
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assert.match(applicationPreviewFlowScript, /executeInlineApplicationPreviewAction\(AI_APPLICATION_ACTION_SAVE_DRAFT/)
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assert.match(applicationPreviewFlowScript, /buildInlineApplicationPreview\([\s\S]*ontologyFields:\s*options\.ontologyFields/)
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assert.doesNotMatch(personalWorkbenchAiModeScript, /const travelApplicationRequest = resolveInlineTravelApplicationRequest\(cleanPrompt\)/)
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})
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test('workbench AI mode shows a visible planning response before waiting for steward model plan', () => {
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assert.match(personalWorkbenchAiModeScript, /function startModelPlanningConversation\(cleanPrompt, entry = \{\}\)/)
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assert.match(personalWorkbenchAiModeScript, /conversationMessages\.value\.push\(createInlineMessage\('user', cleanPrompt\)\)/)
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assert.match(personalWorkbenchAiModeScript, /正在识别意图，准备拆解申请、报销和附件任务/)
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assert.match(
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personalWorkbenchAiModeScript,
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/const plannerPendingMessage = startModelPlanningConversation\(cleanPrompt, entry\)[\s\S]*await stewardFlow\.resolveInlineExecutionPlan\(cleanPrompt, entry, files,\s*\{/
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)
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assert.match(
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personalWorkbenchAiModeScript,
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/pendingMessageId:\s*plannerPendingMessage\?\.id/
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)
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assert.match(applicationPreviewFlowScript, /options\.pendingMessageId/)
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})
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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\(pendingMessage\)/)
|
||
})
|
||
|
||
test('isLowConfidenceTravelApplicationPlan gates preview behind confirmation when model confidence is low', () => {
|
||
const lowConfidenceModelPlan = normalizeWorkbenchAiIntentPlan({
|
||
planning_source: 'llm_function_call',
|
||
tasks: [{
|
||
task_type: 'expense_application',
|
||
assigned_agent: 'application_assistant',
|
||
requested_action: 'preview',
|
||
confidence: 0.4,
|
||
ontology_fields: { location: '上海', reason: '部署' }
|
||
}]
|
||
}, { prompt: '上海那边好像要过去一趟搞部署' })
|
||
|
||
assert.equal(lowConfidenceModelPlan.source, WORKBENCH_AI_INTENT_SOURCE_MODEL)
|
||
assert.equal(isLowConfidenceTravelApplicationPlan(lowConfidenceModelPlan), true)
|
||
|
||
const highConfidenceModelPlan = normalizeWorkbenchAiIntentPlan({
|
||
planning_source: 'llm_function_call',
|
||
tasks: [{
|
||
task_type: 'expense_application',
|
||
assigned_agent: 'application_assistant',
|
||
requested_action: 'preview',
|
||
confidence: 0.9,
|
||
ontology_fields: { location: '上海' }
|
||
}]
|
||
}, { prompt: '去上海出差' })
|
||
|
||
assert.equal(isLowConfidenceTravelApplicationPlan(highConfidenceModelPlan), false)
|
||
|
||
const ruleFallbackPlan = buildRuleFallbackWorkbenchAiIntentPlan('去上海出差，辅助部署，交通火车')
|
||
assert.equal(ruleFallbackPlan.source, WORKBENCH_AI_INTENT_SOURCE_RULE_FALLBACK)
|
||
assert.equal(isLowConfidenceTravelApplicationPlan(ruleFallbackPlan), false)
|
||
|
||
const explicitSubmitLowConfidence = normalizeWorkbenchAiIntentPlan({
|
||
planning_source: 'llm_function_call',
|
||
tasks: [{
|
||
task_type: 'expense_application',
|
||
assigned_agent: 'application_assistant',
|
||
requested_action: 'submit',
|
||
confidence: 0.3,
|
||
ontology_fields: { location: '上海' }
|
||
}]
|
||
}, { prompt: '直接提交' })
|
||
|
||
assert.equal(explicitSubmitLowConfidence.requestedAction, 'submit')
|
||
assert.equal(isLowConfidenceTravelApplicationPlan(explicitSubmitLowConfidence), false)
|
||
|
||
assert.equal(isLowConfidenceTravelApplicationPlan(null), false)
|
||
})
|
||
|
||
test('workbench AI mode routes low confidence travel application plan to confirmation prompt', () => {
|
||
assert.match(personalWorkbenchAiModeScript, /isLowConfidenceTravelApplicationPlan\(intentPlan\)/)
|
||
assert.match(personalWorkbenchAiModeScript, /function startModelPlannedTravelApplicationConfirmation\(/)
|
||
assert.match(personalWorkbenchAiModeScript, /action_type:\s*'ai_application_confirm_intent'/)
|
||
assert.match(personalWorkbenchAiModeScript, /需要确认：您是要发起出差申请吗/)
|
||
})
|
||
|
||
test('shouldRequestWorkbenchAiIntentPlan skips chitchat and only triggers on business keywords', () => {
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('你好'), false)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('谢谢'), false)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('嗯'), false)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('ok'), false)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('1'), false)
|
||
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('帮我查报销'), true)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('我要出差'), true)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('帮我查询上海差旅标准'), true)
|
||
assert.equal(shouldRequestWorkbenchAiIntentPlan('删除3天前的草稿'), true)
|
||
})
|