@clduab11/gemini-flow
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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.
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text/typescript
/**
* Veo3 Video Generation Integration Tests
* Comprehensive testing of Veo3 video generation capabilities
*/
import { describe, it, expect, beforeAll, afterAll, beforeEach, afterEach, jest } from '@jest/globals';
import { performance } from 'perf_hooks';
import { setTimeout as delay } from 'timers/promises';
// Test Infrastructure
import { TestEnvironmentManager } from '../fixtures/test-environment-manager';
import { MockGoogleCloudProvider } from '../fixtures/mock-google-cloud-provider';
import { TestDataGenerator } from '../fixtures/test-data-generator';
import { MetricsCollector } from '../fixtures/metrics-collector';
// System Under Test
import { Veo3Integration } from '../../src/integrations/veo3/video-generation-pipeline';
import { EnhancedStreamingAPI } from '../../src/streaming/enhanced-streaming-api';
import { MultimediaGenerationRequest, VideoGenerationConfig } from '../../src/types/multimedia';
interface VideoGenerationTest {
id: string;
prompt: string;
duration: number;
quality: 'low' | 'medium' | 'high' | 'ultra';
style?: string;
expectedFeatures: string[];
}
interface VideoValidationResult {
passed: boolean;
quality: {
resolution: string;
bitrate: number;
frameRate: number;
score: number;
};
content: {
promptAdherence: number;
creativityScore: number;
technicalQuality: number;
};
metadata: {
duration: number;
size: number;
format: string;
};
}
describe('Veo3 Video Generation Integration Tests', () => {
let testEnvironment: TestEnvironmentManager;
let mockProvider: MockGoogleCloudProvider;
let dataGenerator: TestDataGenerator;
let metricsCollector: MetricsCollector;
let veo3Integration: Veo3Integration;
let streamingAPI: EnhancedStreamingAPI;
beforeAll(async () => {
testEnvironment = new TestEnvironmentManager({
services: ['veo3', 'streaming-api'],
mockServices: true,
metricsCollection: true
});
mockProvider = new MockGoogleCloudProvider({
latency: { min: 5000, max: 30000 }, // Video generation takes longer
reliability: 0.98,
rateLimits: {
'veo3': 5 // Lower limit for video generation
}
});
dataGenerator = new TestDataGenerator({
videoPrompts: [
'A serene mountain landscape with flowing water',
'Urban city skyline at sunset with dynamic lighting',
'Abstract geometric patterns morphing through colors',
'Wildlife documentary scene with animals in natural habitat'
]
});
metricsCollector = new MetricsCollector({
interval: 1000,
retention: 600000 // 10 minutes for longer video generation
});
await testEnvironment.initialize();
await mockProvider.start();
await metricsCollector.start();
veo3Integration = new Veo3Integration({
apiKey: mockProvider.getApiKey(),
project: 'test-project',
renderingConfig: {
quality: 'high',
format: 'mp4'
}
});
streamingAPI = new EnhancedStreamingAPI({
apiKey: mockProvider.getApiKey(),
projectId: 'test-project'
});
await veo3Integration.initialize();
await streamingAPI.initialize();
console.log('🎬 Veo3 test environment initialized');
}, 120000); // 2 minutes for setup
afterAll(async () => {
await metricsCollector.stop();
await mockProvider.stop();
await testEnvironment.cleanup();
}, 60000);
beforeEach(async () => {
metricsCollector.reset();
});
describe('Basic Video Generation', () => {
it('should generate video from text prompt', async () => {
const testPrompt = 'A peaceful garden with blooming flowers and gentle breeze';
const startTime = performance.now();
const generationRequest = {
prompt: testPrompt,
duration: 5000, // 5 seconds
quality: 'medium' as const,
style: {
type: 'cinematic',
mood: 'peaceful'
}
};
const result = await veo3Integration.generateVideo(generationRequest);
const duration = performance.now() - startTime;
expect(result.success).toBe(true);
expect(result.data.videoUrl).toBeDefined();
expect(result.data.duration).toBeCloseTo(5000, 500); // Within 500ms
expect(result.metadata.processingTime).toBeGreaterThan(1000);
expect(duration).toBeLessThan(60000); // Should complete within 1 minute
// Validate video content
const validation = await validateVideoContent(result.data, testPrompt);
expect(validation.passed).toBe(true);
expect(validation.content.promptAdherence).toBeGreaterThan(0.8);
});
it('should generate video with different quality settings', async () => {
const qualities: Array<'low' | 'medium' | 'high' | 'ultra'> = ['low', 'medium', 'high'];
const results: { quality: string; result: any; metrics: any }[] = [];
for (const quality of qualities) {
const request = {
prompt: 'Simple animation of geometric shapes',
duration: 3000,
quality,
style: { type: 'minimal' }
};
const startTime = performance.now();
const result = await veo3Integration.generateVideo(request);
const processingTime = performance.now() - startTime;
expect(result.success).toBe(true);
results.push({ quality, result: result.data, metrics: { processingTime } });
}
// Validate quality progression
for (let i = 1; i < results.length; i++) {
const current = results[i];
const previous = results[i - 1];
// Higher quality should have better resolution but may take longer
expect(current.result.quality.score).toBeGreaterThanOrEqual(previous.result.quality.score);
}
});
it('should handle custom aspect ratios and resolutions', async () => {
const aspectRatios = [
{ ratio: '16:9', width: 1920, height: 1080 },
{ ratio: '9:16', width: 1080, height: 1920 }, // Vertical
{ ratio: '1:1', width: 1080, height: 1080 }, // Square
{ ratio: '21:9', width: 2560, height: 1080 } // Ultra-wide
];
for (const { ratio, width, height } of aspectRatios) {
const request = {
prompt: `Test video in ${ratio} aspect ratio`,
duration: 3000,
quality: 'medium' as const,
aspectRatio: ratio,
resolution: { width, height }
};
const result = await veo3Integration.generateVideo(request);
expect(result.success).toBe(true);
expect(result.data.resolution.width).toBe(width);
expect(result.data.resolution.height).toBe(height);
expect(result.data.aspectRatio).toBe(ratio);
}
});
});
describe('Advanced Video Generation Features', () => {
it('should generate video with style transfer', async () => {
const baseRequest = {
prompt: 'A dancing figure in motion',
duration: 4000,
quality: 'high' as const
};
// Generate base video
const baseVideo = await veo3Integration.generateVideo(baseRequest);
expect(baseVideo.success).toBe(true);
// Apply style transfer
const styleTransferRequest = {
...baseRequest,
styleTransfer: {
enabled: true,
sourceVideo: baseVideo.data.videoUrl,
targetStyle: 'impressionist_painting',
strength: 0.7
}
};
const styledVideo = await veo3Integration.generateVideo(styleTransferRequest);
expect(styledVideo.success).toBe(true);
expect(styledVideo.data.styleApplied).toBe('impressionist_painting');
expect(styledVideo.data.styleStrength).toBe(0.7);
// Validate style application
const styleValidation = await validateStyleTransfer(baseVideo.data, styledVideo.data);
expect(styleValidation.styleDetected).toBe(true);
expect(styleValidation.contentPreserved).toBeGreaterThan(0.8);
});
it('should generate video with motion controls', async () => {
const motionControlRequest = {
prompt: 'Camera panning across a scenic landscape',
duration: 6000,
quality: 'high' as const,
motionControls: {
cameraMovement: {
type: 'pan',
direction: 'left_to_right',
speed: 'smooth'
},
objectMotion: {
enabled: true,
intensity: 'medium'
},
transitionEffects: ['fade_in', 'fade_out']
}
};
const result = await veo3Integration.generateVideo(motionControlRequest);
expect(result.success).toBe(true);
expect(result.data.motionAnalysis.cameraMovement).toBeDefined();
expect(result.data.motionAnalysis.dominantMotion).toBe('pan');
expect(result.data.effects).toContain('fade_in');
expect(result.data.effects).toContain('fade_out');
});
it('should generate video with audio synchronization', async () => {
const audioSyncRequest = {
prompt: 'Musicians playing instruments in perfect harmony',
duration: 8000,
quality: 'high' as const,
audioSync: {
enabled: true,
musicStyle: 'classical',
tempo: 120, // BPM
moodAlignment: true
}
};
const result = await veo3Integration.generateVideo(audioSyncRequest);
expect(result.success).toBe(true);
expect(result.data.audioTrack).toBeDefined();
expect(result.data.audioSync.tempo).toBe(120);
expect(result.data.audioSync.synchronized).toBe(true);
// Validate audio-video synchronization
const syncValidation = await validateAudioVideoSync(result.data);
expect(syncValidation.syncAccuracy).toBeGreaterThan(0.95);
expect(syncValidation.tempoMatch).toBe(true);
});
it('should handle multi-scene video generation', async () => {
const multiSceneRequest = {
scenes: [
{
prompt: 'Opening scene: sunrise over mountains',
duration: 3000,
transition: 'fade'
},
{
prompt: 'Middle scene: forest with wildlife',
duration: 4000,
transition: 'dissolve'
},
{
prompt: 'Closing scene: peaceful lake reflection',
duration: 3000,
transition: 'fade_out'
}
],
quality: 'high' as const,
overallTheme: 'nature_documentary'
};
const result = await veo3Integration.generateMultiSceneVideo(multiSceneRequest);
expect(result.success).toBe(true);
expect(result.data.scenes).toHaveLength(3);
expect(result.data.totalDuration).toBeCloseTo(10000, 500);
// Validate scene transitions
for (let i = 0; i < result.data.scenes.length - 1; i++) {
const scene = result.data.scenes[i];
const transition = result.data.transitions[i];
expect(transition.type).toBeDefined();
expect(transition.duration).toBeGreaterThan(0);
expect(transition.smoothness).toBeGreaterThan(0.8);
}
});
});
describe('Performance and Quality Optimization', () => {
it('should optimize video generation for different use cases', async () => {
const useCases = [
{
name: 'social_media',
config: {
prompt: 'Quick product showcase',
duration: 2000,
quality: 'medium' as const,
optimization: 'fast_generation'
},
expectations: {
maxProcessingTime: 30000,
minQuality: 0.7
}
},
{
name: 'professional_content',
config: {
prompt: 'High-quality brand advertisement',
duration: 5000,
quality: 'ultra' as const,
optimization: 'quality_first'
},
expectations: {
maxProcessingTime: 120000,
minQuality: 0.9
}
},
{
name: 'real_time_preview',
config: {
prompt: 'Quick preview for editing',
duration: 1000,
quality: 'low' as const,
optimization: 'speed_first'
},
expectations: {
maxProcessingTime: 10000,
minQuality: 0.5
}
}
];
for (const useCase of useCases) {
const startTime = performance.now();
const result = await veo3Integration.generateVideo(useCase.config);
const processingTime = performance.now() - startTime;
expect(result.success).toBe(true);
expect(processingTime).toBeLessThan(useCase.expectations.maxProcessingTime);
expect(result.data.qualityScore).toBeGreaterThan(useCase.expectations.minQuality);
console.log(`${useCase.name}: ${processingTime}ms, quality: ${result.data.qualityScore}`);
}
});
it('should handle concurrent video generation requests', async () => {
const concurrentRequests = 3;
const requests = Array.from({ length: concurrentRequests }, (_, i) => ({
prompt: `Concurrent test video ${i + 1}`,
duration: 3000,
quality: 'medium' as const,
id: `concurrent-${i}`
}));
const startTime = performance.now();
const results = await Promise.all(
requests.map(request => veo3Integration.generateVideo(request))
);
const totalTime = performance.now() - startTime;
// All requests should succeed
expect(results.every(r => r.success)).toBe(true);
// Concurrent processing should be faster than sequential
const sequentialTimeEstimate = concurrentRequests * 20000; // 20s per video
expect(totalTime).toBeLessThan(sequentialTimeEstimate * 0.8); // At least 20% faster
// Validate resource usage didn't exceed limits
const peakMemoryUsage = await metricsCollector.getPeakMemoryUsage();
expect(peakMemoryUsage).toBeLessThan(2048); // Less than 2GB
});
it('should maintain quality consistency across similar prompts', async () => {
const basePrompt = 'A serene landscape with mountains and trees';
const variations = [
basePrompt,
'A peaceful landscape featuring mountains and trees',
'Mountains and trees in a calm, serene setting',
'Tranquil scenery with mountain peaks and forest'
];
const results = await Promise.all(
variations.map(prompt => veo3Integration.generateVideo({
prompt,
duration: 3000,
quality: 'high' as const
}))
);
expect(results.every(r => r.success)).toBe(true);
// Quality scores should be consistent (within 10% range)
const qualityScores = results.map(r => r.data.qualityScore);
const avgQuality = qualityScores.reduce((sum, score) => sum + score, 0) / qualityScores.length;
qualityScores.forEach(score => {
expect(Math.abs(score - avgQuality)).toBeLessThan(0.1);
});
// Content similarity should be high
const contentSimilarity = await calculateContentSimilarity(results.map(r => r.data));
expect(contentSimilarity.averageSimilarity).toBeGreaterThan(0.8);
});
});
describe('Error Handling and Edge Cases', () => {
it('should handle invalid prompts gracefully', async () => {
const invalidPrompts = [
'', // Empty prompt
'a'.repeat(10000), // Extremely long prompt
'🔥💯🚀✨🎉🌟💫⭐', // Only emojis
'AAAAAAAAAAAAAAAAAAA', // Repetitive content
'<script>alert("xss")</script>' // Potential XSS
];
for (const prompt of invalidPrompts) {
const result = await veo3Integration.generateVideo({
prompt,
duration: 3000,
quality: 'medium' as const
});
// Should either succeed with warning or fail gracefully
if (!result.success) {
expect(result.error).toBeDefined();
expect(result.error.recoverable).toBe(true);
} else {
expect(result.warnings).toBeDefined();
expect(result.warnings.length).toBeGreaterThan(0);
}
}
});
it('should handle network interruptions during generation', async () => {
const request = {
prompt: 'Network interruption test video',
duration: 5000,
quality: 'medium' as const
};
// Start generation
const generationPromise = veo3Integration.generateVideo(request);
// Simulate network interruption after 2 seconds
setTimeout(async () => {
await mockProvider.simulateNetworkInterruption(3000); // 3 second outage
}, 2000);
const result = await generationPromise;
// Should either succeed with retry or fail gracefully
if (result.success) {
expect(result.metadata.retryCount).toBeGreaterThan(0);
expect(result.metadata.networkIssuesHandled).toBe(true);
} else {
expect(result.error.code).toBe('NETWORK_ERROR');
expect(result.error.recoverable).toBe(true);
}
});
it('should handle resource exhaustion gracefully', async () => {
// Simulate high resource usage
await mockProvider.simulateResourceExhaustion('gpu', 0.95); // 95% GPU usage
const request = {
prompt: 'Resource exhaustion test',
duration: 3000,
quality: 'high' as const
};
const result = await veo3Integration.generateVideo(request);
if (!result.success) {
expect(result.error.code).toBe('RESOURCE_EXHAUSTED');
expect(result.error.retryAfter).toBeGreaterThan(0);
} else {
// Should have adapted quality or processing
expect(result.data.adaptiveQuality).toBeDefined();
expect(result.data.processingOptimized).toBe(true);
}
});
it('should handle timeout scenarios appropriately', async () => {
const longGenerationRequest = {
prompt: 'Complex scene with many details requiring long processing',
duration: 10000, // 10 seconds of video
quality: 'ultra' as const,
complexity: 'maximum',
timeout: 30000 // 30 second timeout
};
const startTime = performance.now();
const result = await veo3Integration.generateVideo(longGenerationRequest);
const processingTime = performance.now() - startTime;
if (!result.success && result.error.code === 'TIMEOUT') {
expect(processingTime).toBeCloseTo(30000, 1000); // Should timeout at specified time
expect(result.error.partialResult).toBeDefined(); // Should provide partial result
} else if (result.success) {
expect(processingTime).toBeLessThan(30000);
}
});
});
describe('Integration with Streaming API', () => {
it('should stream video generation progress', async () => {
const request = {
prompt: 'Streaming progress test video',
duration: 5000,
quality: 'high' as const,
streaming: {
enabled: true,
progressUpdates: true,
chunkSize: 1024 * 1024 // 1MB chunks
}
};
const progressUpdates: any[] = [];
const onProgress = (update: any) => {
progressUpdates.push(update);
};
const result = await veo3Integration.generateVideoStream(request, onProgress);
expect(result.success).toBe(true);
expect(progressUpdates.length).toBeGreaterThan(0);
// Validate progress updates
const firstUpdate = progressUpdates[0];
const lastUpdate = progressUpdates[progressUpdates.length - 1];
expect(firstUpdate.progress).toBe(0);
expect(lastUpdate.progress).toBe(100);
expect(progressUpdates.every(update =>
update.progress >= 0 && update.progress <= 100
)).toBe(true);
});
it('should enable real-time video preview during generation', async () => {
const request = {
prompt: 'Real-time preview test',
duration: 6000,
quality: 'medium' as const,
preview: {
enabled: true,
updateInterval: 1000, // Update every second
previewQuality: 'low'
}
};
const previews: any[] = [];
const onPreview = (preview: any) => {
previews.push(preview);
};
const result = await veo3Integration.generateVideoWithPreview(request, onPreview);
expect(result.success).toBe(true);
expect(previews.length).toBeGreaterThan(0);
// Validate preview frames
previews.forEach(preview => {
expect(preview.frameData).toBeDefined();
expect(preview.timestamp).toBeGreaterThan(0);
expect(preview.quality).toBe('low');
});
// Final video should match last preview
const finalPreview = previews[previews.length - 1];
expect(result.data.duration).toBeCloseTo(finalPreview.timestamp, 1000);
});
});
describe('Quality Validation and Metrics', () => {
it('should provide comprehensive quality metrics', async () => {
const request = {
prompt: 'Quality metrics validation video',
duration: 4000,
quality: 'high' as const,
enableDetailedMetrics: true
};
const result = await veo3Integration.generateVideo(request);
expect(result.success).toBe(true);
expect(result.data.qualityMetrics).toBeDefined();
const metrics = result.data.qualityMetrics;
expect(metrics.technicalQuality).toBeGreaterThan(0.8);
expect(metrics.visualCoherence).toBeGreaterThan(0.8);
expect(metrics.motionSmoothness).toBeGreaterThan(0.7);
expect(metrics.colorAccuracy).toBeGreaterThan(0.8);
expect(metrics.sharpness).toBeGreaterThan(0.7);
expect(metrics.overallScore).toBeGreaterThan(0.8);
});
it('should validate content against safety guidelines', async () => {
const safetyTestPrompts = [
'Peaceful nature scene with flowers', // Safe content
'Violent action scene with explosions', // Potentially unsafe
'Educational content about science', // Safe educational
'Inappropriate adult content reference' // Unsafe
];
for (const prompt of safetyTestPrompts) {
const request = {
prompt,
duration: 3000,
quality: 'medium' as const,
safetyCheck: true
};
const result = await veo3Integration.generateVideo(request);
expect(result.safetyRating).toBeDefined();
if (prompt.includes('violent') || prompt.includes('inappropriate')) {
expect(result.safetyRating.blocked).toBe(true);
expect(result.success).toBe(false);
} else {
expect(result.safetyRating.probability).toBe('NEGLIGIBLE');
expect(result.success).toBe(true);
}
}
});
});
// Helper functions
async function validateVideoContent(videoData: any, expectedPrompt: string): Promise<VideoValidationResult> {
// Mock video content validation
return {
passed: true,
quality: {
resolution: '1080p',
bitrate: 5000000,
frameRate: 30,
score: 0.88
},
content: {
promptAdherence: 0.85,
creativityScore: 0.82,
technicalQuality: 0.89
},
metadata: {
duration: videoData.duration,
size: videoData.size || 50 * 1024 * 1024, // 50MB default
format: videoData.format || 'mp4'
}
};
}
async function validateStyleTransfer(baseVideo: any, styledVideo: any): Promise<any> {
return {
styleDetected: true,
contentPreserved: 0.85,
styleStrength: 0.7,
visualCoherence: 0.88
};
}
async function validateAudioVideoSync(videoData: any): Promise<any> {
return {
syncAccuracy: 0.96,
tempoMatch: true,
audioQuality: 0.87,
lipSyncAccuracy: 0.92
};
}
async function calculateContentSimilarity(videoDataArray: any[]): Promise<any> {
return {
averageSimilarity: 0.83,
pairwiseSimilarities: [0.85, 0.81, 0.83],
semanticConsistency: 0.87
};
}
});