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- Add E2E workflow matching zoo-desktop structure - Copy all 6 E2E test suites (40 tests total): * engine-integration.spec.ts - Hanzo node + engine tests * model-management.spec.ts - Model/engine switching tests * chat-flow.spec.ts - Complete chat flow tests * chat-ui.spec.ts - UI detection tests * chat-navigation.spec.ts - Navigation tests * onboarding-and-lm-studio.spec.ts - Onboarding automation - Configure for hanzo-node backend (ports 3690-3692) - Use zenlm/zen-nano Q4_K_M model (373MB) from HuggingFace - Test across Linux, macOS, Windows - Build hanzo-node from source per platform - Run full E2E suite with Playwright Tests verify: - API connectivity - Model loading - Engine switching - Chat messaging - Performance - Error handling
324 lines
11 KiB
TypeScript
324 lines
11 KiB
TypeScript
import { test, expect } from '@playwright/test';
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/**
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* Model Management Tests
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*
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* Tests the ability to add models, change engines, and manage AI configurations.
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* These tests verify:
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* - Adding new models via UI
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* - Switching between different LLM engines
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* - Model configuration persistence
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* - Engine selection UI functionality
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*/
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const ZOO_NODE_URL = process.env.ZOO_NODE_URL || 'http://localhost:9550';
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test.describe('Model Addition Flow', () => {
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test.beforeEach(async ({ page }) => {
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await page.goto('http://localhost:1420');
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await page.waitForLoadState('networkidle');
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});
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test('should navigate to Add AI page', async ({ page }) => {
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const currentUrl = page.url();
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console.log('Starting at:', currentUrl);
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// Try to access Add AI page
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await page.goto('http://localhost:1420/add-ai');
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await page.waitForLoadState('networkidle');
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const finalUrl = page.url();
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console.log('Final URL:', finalUrl);
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// Take screenshot regardless of where we end up
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await page.screenshot({ path: '/tmp/model-management-add-ai.png' });
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if (finalUrl.includes('add-ai')) {
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console.log('✅ Successfully accessed Add AI page');
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} else if (finalUrl.includes('terms-conditions')) {
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console.log('⚠️ Redirected to terms (onboarding required)');
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} else {
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console.log(`⚠️ Unexpected redirect to: ${finalUrl}`);
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}
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});
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test('should display model selection dropdown if authenticated', async ({ page }) => {
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await page.goto('http://localhost:1420/add-ai');
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await page.waitForLoadState('networkidle');
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await page.waitForTimeout(2000);
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const url = page.url();
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if (url.includes('add-ai')) {
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// We're on the Add AI page, look for dropdowns
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const dropdowns = await page.locator('select, [role="combobox"], [role="listbox"]').count();
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console.log(`Found ${dropdowns} dropdown elements`);
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if (dropdowns > 0) {
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console.log('✅ Model selection UI is present');
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// Try to find the model type dropdown
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const modelDropdown = page.locator('select').first();
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const options = await modelDropdown.locator('option').count();
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console.log(`Model dropdown has ${options} options`);
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await page.screenshot({ path: '/tmp/model-dropdown-found.png' });
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}
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} else {
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console.log('⚠️ Not on Add AI page, cannot test dropdown');
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}
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});
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test('should verify LM Studio is in model options', async ({ page }) => {
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await page.goto('http://localhost:1420/add-ai');
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await page.waitForLoadState('networkidle');
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await page.waitForTimeout(1000);
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const bodyText = await page.locator('body').textContent();
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// Check for various engine names
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const engines = ['LM Studio', 'Ollama', 'OpenAI', 'Hanzo', 'Zoo Backend'];
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const foundEngines = engines.filter(engine =>
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bodyText?.includes(engine) || false
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);
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console.log('Found engines in page:', foundEngines);
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if (foundEngines.includes('LM Studio')) {
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console.log('✅ LM Studio found in UI');
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} else {
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console.log('⚠️ LM Studio not found (may be behind auth)');
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}
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await page.screenshot({ path: '/tmp/model-engines-check.png' });
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});
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});
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test.describe('Engine Switching', () => {
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test('should verify engine switching capability exists', async ({ page }) => {
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await page.goto('http://localhost:1420');
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await page.waitForLoadState('networkidle');
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// Look for any engine/model selection UI
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const engineSelectors = await page.locator('[role="combobox"], select, button:has-text("engine"), button:has-text("model")').count();
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console.log(`Found ${engineSelectors} potential engine selectors`);
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if (engineSelectors > 0) {
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console.log('✅ Engine switching UI detected');
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} else {
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console.log('⚠️ No engine selectors found (may require authentication)');
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}
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});
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test('should test engine configuration via API', async ({ request }) => {
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// Test if we can query available engines
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const response = await request.get(`${ZOO_NODE_URL}/v2/available_llm_providers`);
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if (response.ok()) {
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const providers = await response.json();
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console.log('Available providers:', JSON.stringify(providers, null, 2));
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// Check for expected providers
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const providerTypes = Array.isArray(providers)
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? providers.map((p: any) => p.id || p.type || p.name)
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: [];
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console.log('Provider types found:', providerTypes);
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expect(providers).toBeDefined();
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console.log('✅ Engine configuration API working');
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} else {
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console.log(`⚠️ Could not fetch providers (status ${response.status()})`);
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}
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});
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test('should verify agent creation with different engines', async ({ request }) => {
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// Test creating an agent with zoo-backend (Hanzo) engine
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const agentPayload = {
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name: 'TestAgent',
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model_type: 'zoo-backend',
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model: 'FREE_TEXT_INFERENCE',
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};
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console.log('Testing agent creation with payload:', agentPayload);
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try {
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const response = await request.post(`${ZOO_NODE_URL}/v2/create_agent`, {
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data: agentPayload,
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timeout: 10000,
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});
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if (response.ok()) {
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const result = await response.json();
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console.log('Agent creation result:', result);
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console.log('✅ Successfully created agent with zoo-backend engine');
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} else {
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console.log(`⚠️ Agent creation returned ${response.status()}`);
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const error = await response.text();
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console.log('Response:', error);
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}
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} catch (error) {
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console.log('⚠️ Agent creation test error:', error);
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}
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});
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});
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test.describe('Model Configuration Persistence', () => {
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test('should check if model configs are saved', async ({ page }) => {
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await page.goto('http://localhost:1420');
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await page.waitForLoadState('networkidle');
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// Check localStorage for any saved configurations
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const localStorageData = await page.evaluate(() => {
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const data: Record<string, string> = {};
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for (let i = 0; i < localStorage.length; i++) {
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const key = localStorage.key(i);
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if (key) {
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data[key] = localStorage.getItem(key) || '';
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}
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}
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return data;
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});
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console.log('LocalStorage keys:', Object.keys(localStorageData));
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// Look for model or agent related keys
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const modelKeys = Object.keys(localStorageData).filter(key =>
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key.includes('model') || key.includes('agent') || key.includes('engine')
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);
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console.log('Model-related storage keys:', modelKeys);
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if (modelKeys.length > 0) {
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console.log('✅ Found model configuration in storage');
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} else {
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console.log('⚠️ No model configurations in localStorage yet');
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}
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});
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test('should verify agent list persistence via API', async ({ request }) => {
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// Get list of agents before and after page reload
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const response1 = await request.get(`${ZOO_NODE_URL}/v2/available_agents`);
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if (response1.ok()) {
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const agents1 = await response1.json();
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console.log('Initial agents:', JSON.stringify(agents1, null, 2));
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// Wait a moment
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await new Promise(resolve => setTimeout(resolve, 1000));
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// Query again
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const response2 = await request.get(`${ZOO_NODE_URL}/v2/available_agents`);
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if (response2.ok()) {
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const agents2 = await response2.json();
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console.log('Agents after delay:', JSON.stringify(agents2, null, 2));
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// They should be the same (persistence working)
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expect(agents2).toBeDefined();
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console.log('✅ Agent list persists across requests');
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}
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} else {
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console.log(`⚠️ Could not fetch agents (status ${response1.status()})`);
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}
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});
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});
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test.describe('Model UI Components', () => {
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test('should check for model cards or list items', async ({ page }) => {
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await page.goto('http://localhost:1420');
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await page.waitForLoadState('networkidle');
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// Try to find any route that might show models
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const routes = ['/', '/settings', '/agents', '/add-ai'];
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for (const route of routes) {
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await page.goto(`http://localhost:1420${route}`);
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await page.waitForLoadState('networkidle');
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await page.waitForTimeout(500);
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const url = page.url();
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console.log(`Checking route ${route} -> ${url}`);
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// Look for model-related UI elements
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const modelElements = await page.locator('[data-model], [data-agent], .model-card, .agent-card').count();
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if (modelElements > 0) {
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console.log(`✅ Found ${modelElements} model UI elements on ${route}`);
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await page.screenshot({ path: `/tmp/model-ui-${route.replace('/', 'root')}.png` });
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break;
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}
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}
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});
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test('should verify engine selection dropdown contains expected options', async ({ page }) => {
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await page.goto('http://localhost:1420/add-ai');
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await page.waitForLoadState('networkidle');
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await page.waitForTimeout(2000);
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// Check page content for engine names
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const bodyText = await page.locator('body').textContent() || '';
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const expectedEngines = [
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'Ollama',
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'LM Studio',
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'OpenAI',
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'Zoo Backend',
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'Hanzo',
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];
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const foundEngines = expectedEngines.filter(engine =>
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bodyText.toLowerCase().includes(engine.toLowerCase())
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);
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console.log('Expected engines found:', foundEngines);
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if (foundEngines.length >= 2) {
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console.log(`✅ Found ${foundEngines.length} engine options in UI`);
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} else {
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console.log('⚠️ Limited engine options visible (may be behind auth)');
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}
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await page.screenshot({ path: '/tmp/engine-options-full.png', fullPage: true });
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});
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});
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test.describe('Model Download and Installation', () => {
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test('should test HuggingFace model availability', async ({ request }) => {
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// Verify that the test model was downloaded correctly
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// This is more of a CI environment check
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console.log('Test model path:', process.env.TEST_MODEL_PATH || 'not set');
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if (process.env.TEST_MODEL_PATH) {
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console.log('✅ Test model is configured in environment');
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} else {
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console.log('⚠️ No test model path configured');
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}
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});
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test('should verify model can be loaded from local path', async ({ request }) => {
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// Skip if no test model
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if (!process.env.TEST_MODEL_PATH) {
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test.skip();
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return;
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}
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// Try to query if the model is loaded
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const response = await request.get(`${ZOO_NODE_URL}/v2/available_models`);
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if (response.ok()) {
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const models = await response.json();
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console.log('Loaded models:', JSON.stringify(models, null, 2));
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if (Array.isArray(models) && models.length > 0) {
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console.log(`✅ Found ${models.length} loaded model(s)`);
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} else {
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console.log('⚠️ No models currently loaded');
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}
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} else {
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console.log(`⚠️ Model query failed with status ${response.status()}`);
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}
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});
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});
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