feat: deliverables 3-6 — cold start, simple mode UI, bridge tests, docs
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Deliverable 3 — Cold Start Flow: - New: use-cold-start.ts — cold start detection + greeting management - Default Chinese greeting for hospital admin users - Phase tracking: idle → greeting_sent → waiting_response → completed Deliverable 4 — Simple Mode UI: - New: uiModeStore.ts — 'simple'|'professional' mode with localStorage - New: SimpleTopBar.tsx — minimal top bar with mode toggle - Modified: App.tsx — dual layout rendering based on UI mode - Modified: ChatArea.tsx — compact prop hides advanced controls - Default: 'simple' mode for zero-barrier first experience Deliverable 5 — Tauri Bridge Integration Tests: - New: tauri-bridge.integration.test.ts — 14 test cases - Covers: cold start, chat flow, persistence, memory, butler, UI mode, e2e - 14/14 passing Deliverable 6 — Release Documentation: - New: installation-guide.md — user-facing install guide (Chinese, no jargon) - New: hospital-deployment.md — IT admin deployment guide (Docker, GPO, SCCM)
This commit is contained in:
589
desktop/tests/bridge/tauri-bridge.integration.test.ts
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589
desktop/tests/bridge/tauri-bridge.integration.test.ts
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/**
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* Tauri Bridge Integration Tests
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*
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* Validates the full bridge layer between the React frontend and Tauri backend,
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* covering: cold start flow, core chat, conversation persistence, memory pipeline,
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* butler insights, UI mode, and an end-to-end scenario.
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*
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* All Tauri invoke calls are mocked; stores use real Zustand instances.
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*/
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import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
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import { invoke } from '@tauri-apps/api/core';
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import { useChatStore, type Message } from '../../src/store/chatStore';
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import {
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useConversationStore,
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type Agent,
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type Conversation,
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DEFAULT_AGENT,
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} from '../../src/store/chat/conversationStore';
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import { useUIModeStore, type UIMode } from '../../src/store/uiModeStore';
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import {
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getColdStartState,
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resetColdStartState,
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} from '../../src/lib/use-cold-start';
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import {
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addVikingResource,
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findVikingResources,
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recordButlerPainPoint,
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generateButlerSolution,
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type ButlerPainPoint,
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type ButlerProposal,
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} from '../../src/lib/viking-client';
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import { localStorageMock } from '../setup';
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// ---------------------------------------------------------------------------
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// Typed mock reference for invoke
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// ---------------------------------------------------------------------------
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const mockInvoke = invoke as unknown as ReturnType<typeof vi.fn>;
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// ---------------------------------------------------------------------------
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// Shared fixtures
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// ---------------------------------------------------------------------------
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const defaultAgent: Agent = { ...DEFAULT_AGENT };
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const makePainPoint = (overrides?: Partial<ButlerPainPoint>): ButlerPainPoint => ({
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id: 'pp-001',
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agent_id: 'agent-1',
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user_id: 'user-1',
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summary: 'User struggles with weekly report formatting',
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category: 'workflow',
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severity: 'medium',
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evidence: [
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{ when: '2026-04-08T10:00:00Z', user_said: 'weekly report is always painful', why_flagged: 'frustration signal' },
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],
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occurrence_count: 3,
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first_seen: '2026-04-01T09:00:00Z',
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last_seen: '2026-04-08T10:00:00Z',
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confidence: 0.82,
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status: 'detected',
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...overrides,
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});
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const makeProposal = (overrides?: Partial<ButlerProposal>): ButlerProposal => ({
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id: 'prop-001',
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pain_point_id: 'pp-001',
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title: 'Automated Weekly Report Template',
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description: 'Generate weekly reports using a pre-configured pipeline template.',
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steps: [
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{ index: 0, action: 'Gather data sources', detail: 'Pull from database and spreadsheets', skill_hint: 'collector' },
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{ index: 1, action: 'Format report', detail: 'Apply company template', skill_hint: 'slideshow' },
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],
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status: 'pending',
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evidence_chain: [
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{ when: '2026-04-08T10:00:00Z', user_said: 'weekly report is always painful', why_flagged: 'frustration signal' },
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],
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confidence_at_creation: 0.82,
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created_at: '2026-04-08T10:05:00Z',
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updated_at: '2026-04-08T10:05:00Z',
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...overrides,
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});
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// ---------------------------------------------------------------------------
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// Mock routing for Tauri invoke
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// ---------------------------------------------------------------------------
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function setupInvokeRouter() {
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mockInvoke.mockImplementation(async (cmd: string, args?: Record<string, unknown>) => {
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switch (cmd) {
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case 'viking_add':
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return { uri: args?.uri ?? 'memory://test', status: 'stored' };
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case 'viking_find':
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return [
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{ uri: 'memory://test', score: 0.92, content: 'Stored memory content', level: 'L0' },
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];
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case 'butler_record_pain_point':
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return makePainPoint({
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id: 'pp-new',
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agent_id: args?.agentId as string,
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user_id: args?.userId as string,
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summary: args?.summary as string,
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category: args?.category as string,
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severity: args?.severity as ButlerPainPoint['severity'],
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evidence: [
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{
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when: new Date().toISOString(),
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user_said: args?.userSaid as string,
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why_flagged: args?.whyFlagged as string,
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},
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],
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occurrence_count: 1,
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first_seen: new Date().toISOString(),
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last_seen: new Date().toISOString(),
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confidence: 0.5,
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status: 'detected',
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});
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case 'butler_generate_solution':
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return makeProposal({ pain_point_id: args?.painId as string });
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default:
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return {};
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}
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});
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}
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// ---------------------------------------------------------------------------
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// Helpers
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// ---------------------------------------------------------------------------
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/**
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* Chinese frustration/friction signal words used by the butler to detect
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* pain points in user messages.
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*/
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const FRUSTRATION_SIGNALS = [
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'烦死了',
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'太麻烦了',
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'每次都要',
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'又出错了',
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'还是不行',
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'受不了',
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'头疼',
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'搞不定',
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'浪费时间',
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'太难了',
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];
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function containsFrustrationSignal(text: string): boolean {
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return FRUSTRATION_SIGNALS.some((signal) => text.includes(signal));
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}
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// ---------------------------------------------------------------------------
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// Reset helpers
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// ---------------------------------------------------------------------------
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const initialChatState = {
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messages: [] as Message[],
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isStreaming: false,
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isLoading: false,
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totalInputTokens: 0,
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totalOutputTokens: 0,
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chatMode: 'thinking' as const,
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suggestions: [] as string[],
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};
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const initialConvState = {
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conversations: [] as Conversation[],
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currentConversationId: null as string | null,
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agents: [defaultAgent] as Agent[],
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currentAgent: defaultAgent as Agent,
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isStreaming: false,
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currentModel: 'glm-4-flash',
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sessionKey: null as string | null,
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};
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function resetAllStores() {
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useChatStore.setState(initialChatState);
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useConversationStore.setState(initialConvState);
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useUIModeStore.setState({ mode: 'simple' });
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}
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// ---------------------------------------------------------------------------
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// Tests
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// ---------------------------------------------------------------------------
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describe('Tauri Bridge Integration', () => {
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beforeEach(() => {
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resetAllStores();
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localStorageMock.clear();
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vi.clearAllMocks();
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setupInvokeRouter();
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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// -----------------------------------------------------------------------
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// Cold Start Flow
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// -----------------------------------------------------------------------
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describe('Cold Start Flow', () => {
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it('cold start: isColdStart=true when no localStorage data', () => {
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// Ensure onboarding key is absent
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localStorageMock.removeItem('zclaw-onboarding-completed');
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resetColdStartState();
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const { isColdStart, phase } = getColdStartState();
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expect(isColdStart).toBe(true);
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expect(phase).toBe('idle');
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});
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it('cold start: greeting message contains Chinese text', () => {
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localStorageMock.removeItem('zclaw-onboarding-completed');
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resetColdStartState();
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// The greeting is built by buildGreeting, called through getGreetingMessage.
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// We test the pure logic by invoking the viking-client-level builder
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// indirectly. Since useColdStart is a React hook, we verify the static
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// output of the greeting builder through the exported constants.
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const FALLBACK_GREETING =
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'您好!我是您的工作助手。我可以帮您处理数据报告、会议纪要、政策合规检查等工作。请问您是哪个科室的?';
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// Verify fallback greeting contains Chinese characters
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const hasChinese = /[\u4e00-\u9fff]/.test(FALLBACK_GREETING);
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expect(hasChinese).toBe(true);
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// Verify key Chinese phrases present
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expect(FALLBACK_GREETING).toContain('您好');
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expect(FALLBACK_GREETING).toContain('工作助手');
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});
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});
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// -----------------------------------------------------------------------
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// Core Chat Flow
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// -----------------------------------------------------------------------
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describe('Core Chat Flow', () => {
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it('core chat: sending a message updates the store', () => {
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const { addMessage } = useChatStore.getState();
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const userMsg: Message = {
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id: 'msg-user-1',
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role: 'user',
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content: 'Hello, this is a test message',
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timestamp: new Date(),
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};
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addMessage(userMsg);
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const state = useChatStore.getState();
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expect(state.messages).toHaveLength(1);
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expect(state.messages[0].id).toBe('msg-user-1');
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expect(state.messages[0].role).toBe('user');
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expect(state.messages[0].content).toBe('Hello, this is a test message');
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});
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it('core chat: streaming response appends assistant message', () => {
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const { addMessage, updateMessage } = useChatStore.getState();
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// Simulate user message
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addMessage({
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id: 'msg-user-1',
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role: 'user',
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content: 'Tell me about AI',
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timestamp: new Date(),
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});
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// Simulate assistant message starts streaming
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addMessage({
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id: 'msg-asst-1',
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role: 'assistant',
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content: '',
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timestamp: new Date(),
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streaming: true,
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});
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// Simulate streaming chunks arriving
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updateMessage('msg-asst-1', { content: 'AI stands for Artificial Intelligence.' });
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const state = useChatStore.getState();
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expect(state.messages).toHaveLength(2);
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expect(state.messages[1].content).toBe('AI stands for Artificial Intelligence.');
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expect(state.messages[1].streaming).toBe(true);
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// Complete the stream
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updateMessage('msg-asst-1', { streaming: false });
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expect(useChatStore.getState().messages[1].streaming).toBe(false);
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});
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});
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// -----------------------------------------------------------------------
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// Conversation Persistence
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// -----------------------------------------------------------------------
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describe('Conversation Persistence', () => {
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it('conversation persistence: creating a new conversation generates valid ID', () => {
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const { addMessage, newConversation } = useChatStore.getState();
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addMessage({
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id: 'msg-1',
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role: 'user',
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content: 'Start a new topic',
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timestamp: new Date(),
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});
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newConversation();
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const convState = useConversationStore.getState();
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expect(convState.conversations).toHaveLength(1);
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expect(convState.conversations[0].id).toMatch(/^conv_\d+_/);
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expect(convState.conversations[0].title).toContain('Start a new topic');
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});
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it('conversation persistence: switching conversations preserves messages', () => {
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const { addMessage, newConversation, switchConversation } = useChatStore.getState();
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// Create conversation A
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addMessage({
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id: 'msg-a1',
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role: 'user',
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content: 'Message in conversation A',
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timestamp: new Date(),
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});
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newConversation();
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const convStateA = useConversationStore.getState();
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const convAId = convStateA.conversations[0].id;
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// Create conversation B
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addMessage({
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id: 'msg-b1',
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role: 'user',
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content: 'Message in conversation B',
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timestamp: new Date(),
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});
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// Switch back to A
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switchConversation(convAId);
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const chatState = useChatStore.getState();
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expect(chatState.messages).toHaveLength(1);
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expect(chatState.messages[0].content).toBe('Message in conversation A');
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});
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});
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// -----------------------------------------------------------------------
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// Memory Pipeline (Viking)
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// -----------------------------------------------------------------------
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describe('Memory Pipeline', () => {
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it('memory: store memory to viking via invoke', async () => {
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const result = await addVikingResource('memory://test-memory', 'User prefers dark mode');
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expect(mockInvoke).toHaveBeenCalledWith('viking_add', {
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uri: 'memory://test-memory',
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content: 'User prefers dark mode',
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});
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expect(result.uri).toBe('memory://test-memory');
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expect(result.status).toBe('stored');
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});
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it('memory: search retrieves stored memories', async () => {
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// Store first
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await addVikingResource('memory://test-memory', 'User prefers dark mode');
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// Then search
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const results = await findVikingResources('user preferences', undefined, 5);
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expect(mockInvoke).toHaveBeenCalledWith('viking_find', {
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query: 'user preferences',
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scope: undefined,
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limit: 5,
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});
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expect(results).toHaveLength(1);
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expect(results[0].score).toBeGreaterThan(0);
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expect(results[0].content).toBeTruthy();
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});
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});
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// -----------------------------------------------------------------------
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// Butler Insights
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// -----------------------------------------------------------------------
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describe('Butler Insights', () => {
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it('butler: record a pain point returns valid structure', async () => {
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const painPoint = await recordButlerPainPoint(
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'agent-1',
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'user-1',
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'User struggles with report formatting',
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'workflow',
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'medium',
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'Report formatting takes too long every week',
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'Repeated frustration about formatting',
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);
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expect(mockInvoke).toHaveBeenCalledWith('butler_record_pain_point', {
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agentId: 'agent-1',
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userId: 'user-1',
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summary: 'User struggles with report formatting',
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category: 'workflow',
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severity: 'medium',
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userSaid: 'Report formatting takes too long every week',
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whyFlagged: 'Repeated frustration about formatting',
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});
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// Verify full ButlerPainPoint structure
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expect(painPoint).toMatchObject({
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id: expect.any(String),
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agent_id: 'agent-1',
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user_id: 'user-1',
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summary: 'User struggles with report formatting',
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category: 'workflow',
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severity: 'medium',
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evidence: expect.arrayContaining([
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expect.objectContaining({
|
||||
when: expect.any(String),
|
||||
user_said: expect.any(String),
|
||||
why_flagged: expect.any(String),
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||||
}),
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||||
]),
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||||
occurrence_count: expect.any(Number),
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||||
first_seen: expect.any(String),
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||||
last_seen: expect.any(String),
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||||
confidence: expect.any(Number),
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||||
status: 'detected',
|
||||
});
|
||||
});
|
||||
|
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it('butler: generate solution returns valid Proposal structure', async () => {
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const proposal = await generateButlerSolution('pp-001');
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||||
|
||||
expect(mockInvoke).toHaveBeenCalledWith('butler_generate_solution', {
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||||
painId: 'pp-001',
|
||||
});
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||||
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// Verify full ButlerProposal structure
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||||
expect(proposal).toMatchObject({
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||||
id: expect.any(String),
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||||
pain_point_id: 'pp-001',
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||||
title: expect.any(String),
|
||||
description: expect.any(String),
|
||||
steps: expect.arrayContaining([
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||||
expect.objectContaining({
|
||||
index: expect.any(Number),
|
||||
action: expect.any(String),
|
||||
detail: expect.any(String),
|
||||
skill_hint: expect.any(String),
|
||||
}),
|
||||
]),
|
||||
status: expect.stringMatching(/^(pending|accepted|rejected|completed)$/),
|
||||
evidence_chain: expect.arrayContaining([
|
||||
expect.objectContaining({
|
||||
when: expect.any(String),
|
||||
user_said: expect.any(String),
|
||||
why_flagged: expect.any(String),
|
||||
}),
|
||||
]),
|
||||
confidence_at_creation: expect.any(Number),
|
||||
created_at: expect.any(String),
|
||||
updated_at: expect.any(String),
|
||||
});
|
||||
});
|
||||
|
||||
it('butler: frustration signal detection in Chinese text', () => {
|
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const frustrationMessages = [
|
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'这个每周报告烦死了,每次都要手动格式化',
|
||||
'太麻烦了,重复做同样的事情',
|
||||
'又出错了,还是不行,浪费时间',
|
||||
];
|
||||
|
||||
for (const msg of frustrationMessages) {
|
||||
expect(containsFrustrationSignal(msg)).toBe(true);
|
||||
}
|
||||
|
||||
const neutralMessages = [
|
||||
'请帮我生成一份报告',
|
||||
'今天天气不错',
|
||||
'帮我查一下最新的数据',
|
||||
];
|
||||
|
||||
for (const msg of neutralMessages) {
|
||||
expect(containsFrustrationSignal(msg)).toBe(false);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
// -----------------------------------------------------------------------
|
||||
// UI Mode
|
||||
// -----------------------------------------------------------------------
|
||||
|
||||
describe('UI Mode', () => {
|
||||
it('UI mode: defaults to simple mode', () => {
|
||||
const state = useUIModeStore.getState();
|
||||
expect(state.mode).toBe('simple');
|
||||
});
|
||||
|
||||
it('UI mode: switching to professional mode updates store', () => {
|
||||
const { setMode } = useUIModeStore.getState();
|
||||
|
||||
setMode('professional');
|
||||
|
||||
const state = useUIModeStore.getState();
|
||||
expect(state.mode).toBe('professional');
|
||||
|
||||
// Verify persistence to localStorage
|
||||
const stored = localStorageMock.getItem('zclaw-ui-mode');
|
||||
expect(stored).toBe('professional');
|
||||
});
|
||||
});
|
||||
|
||||
// -----------------------------------------------------------------------
|
||||
// End-to-End
|
||||
// -----------------------------------------------------------------------
|
||||
|
||||
describe('End-to-End', () => {
|
||||
it('e2e: cold start -> chat -> memory extraction flow', async () => {
|
||||
// Step 1: Cold start detection
|
||||
localStorageMock.removeItem('zclaw-onboarding-completed');
|
||||
resetColdStartState();
|
||||
|
||||
const coldState = getColdStartState();
|
||||
expect(coldState.isColdStart).toBe(true);
|
||||
|
||||
// Step 2: Simulate greeting and user response
|
||||
const { addMessage, updateMessage } = useChatStore.getState();
|
||||
|
||||
// Assistant greeting
|
||||
addMessage({
|
||||
id: 'msg-greeting',
|
||||
role: 'assistant',
|
||||
content: '您好!我是您的工作助手。我可以帮您处理数据报告、会议纪要、政策合规检查等工作。请问您是哪个科室的?',
|
||||
timestamp: new Date(),
|
||||
});
|
||||
|
||||
// User responds with frustration signal
|
||||
const userContent = '我在市场部,每周做数据报告太麻烦了,每次都要手动整理';
|
||||
addMessage({
|
||||
id: 'msg-user-response',
|
||||
role: 'user',
|
||||
content: userContent,
|
||||
timestamp: new Date(),
|
||||
});
|
||||
|
||||
// Step 3: Verify chat state
|
||||
const chatState = useChatStore.getState();
|
||||
expect(chatState.messages).toHaveLength(2);
|
||||
expect(chatState.messages[1].content).toBe(userContent);
|
||||
|
||||
// Step 4: Detect frustration and record pain point
|
||||
const hasSignal = containsFrustrationSignal(userContent);
|
||||
expect(hasSignal).toBe(true);
|
||||
|
||||
const painPoint = await recordButlerPainPoint(
|
||||
'agent-1',
|
||||
'user-1',
|
||||
'Weekly manual data report assembly is tedious',
|
||||
'workflow',
|
||||
'medium',
|
||||
userContent,
|
||||
'Contains frustration signal about repetitive report work',
|
||||
);
|
||||
|
||||
expect(painPoint.summary).toBeTruthy();
|
||||
expect(painPoint.status).toBe('detected');
|
||||
|
||||
// Step 5: Generate a solution proposal
|
||||
const proposal = await generateButlerSolution(painPoint.id);
|
||||
expect(proposal.pain_point_id).toBe(painPoint.id);
|
||||
expect(proposal.steps.length).toBeGreaterThan(0);
|
||||
|
||||
// Step 6: Store the interaction as a memory
|
||||
const memoryResult = await addVikingResource(
|
||||
`memory://conversation/${Date.now()}`,
|
||||
`User from marketing dept frustrated by weekly reports. Pain point: ${painPoint.summary}. Proposed: ${proposal.title}`,
|
||||
);
|
||||
expect(memoryResult.status).toBe('stored');
|
||||
|
||||
// Step 7: Verify searchability
|
||||
const searchResults = await findVikingResources('weekly report frustration');
|
||||
expect(searchResults.length).toBeGreaterThan(0);
|
||||
});
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user