package enterprise

import (
    "context"
    "fmt"
    "sync"
    "time"
    
    "github.com/gorilla/websocket"
    "k8s.io/client-go/kubernetes"
    "github.com/aws/aws-sdk-go/aws/session"
    "google.golang.org/api/compute/v1"
)

// EnterpriseVoiceAIPlatform represents a comprehensive voice-enabled infrastructure management system
type EnterpriseVoiceAIPlatform struct {
    // Core AI Components
    conversationalEngine    *AdvancedConversationalEngine
    voiceProcessor         *EnterpriseVoiceProcessor
    nlpEngine              *AdvancedNLPEngine
    contextManager         *ConversationalContextManager
    
    // Infrastructure Integration
    kubernetesManager      *VoiceEnabledKubernetesManager
    cloudProviders         map[string]VoiceCloudInterface
    infrastructureOrchestrator *VoiceInfrastructureOrchestrator
    
    // Enterprise Features
    securityFramework      *VoiceSecurityFramework
    auditLogger           *VoiceAuditLogger
    complianceEngine      *VoiceComplianceEngine
    
    // Multi-Modal Support
    visualInterface       *VisualResponseGenerator
    hapticFeedback        *HapticFeedbackManager
    gestureRecognition    *GestureRecognitionEngine
    
    // Performance Optimization
    voiceCache            *DistributedVoiceCache
    loadBalancer          *VoiceLoadBalancer
    sessionManager        *VoiceSessionManager
    
    // Monitoring and Analytics
    conversationAnalytics *ConversationAnalytics
    performanceMonitor    *VoicePerformanceMonitor
    
    mu sync.RWMutex
}

// AdvancedConversationalEngine manages sophisticated AI conversations
type AdvancedConversationalEngine struct {
    // AI Model Management
    primaryModel          *AIModelManager
    fallbackModels        []*AIModelManager
    modelSelector         *IntelligentModelSelector
    
    // Conversation Management
    conversationStates    map[string]*ConversationState
    intentRecognition     *AdvancedIntentRecognition
    entityExtraction      *EntityExtractionEngine
    
    // Context and Memory
    conversationMemory    *ConversationMemoryManager
    personalityEngine     *PersonalityAdaptationEngine
    contextualUnderstanding *ContextualUnderstandingEngine
    
    // Advanced Features
    multiTurnDialogue     *MultiTurnDialogueManager
    clarificationEngine   *ClarificationRequestEngine
    confirmationManager   *ConfirmationManager
    
    // Enterprise Integration
    workflowIntegration   *WorkflowIntegrationEngine
    apiOrchestrator       *APIOrchestrationEngine
    actionExecutor        *SecureActionExecutor
}

// EnterpriseVoiceProcessor handles sophisticated voice processing
type EnterpriseVoiceProcessor struct {
    // Voice Recognition
    speechToText          *AdvancedSpeechToText
    voiceAuthentication   *VoiceBiometricAuth
    speakerIdentification *SpeakerIdentificationEngine
    
    // Voice Synthesis
    textToSpeech          *AdvancedTextToSpeech
    emotionalSynthesis    *EmotionalSynthesisEngine
    personalizedVoices    *PersonalizedVoiceGenerator
    
    // Audio Processing
    noiseReduction        *AdvancedNoiseReduction
    audioEnhancement      *AudioEnhancementEngine
    realTimeProcessing    *RealTimeAudioProcessor
    
    // Multi-Language Support
    languageDetection     *LanguageDetectionEngine
    translationEngine     *RealTimeTranslationEngine
    accentAdaptation      *AccentAdaptationEngine
    
    // Quality Assurance
    voiceQualityMonitor   *VoiceQualityMonitor
    latencyOptimizer      *VoiceLatencyOptimizer
    reliabilityTracker    *VoiceReliabilityTracker
}

// Initialize enterprise voice AI platform
func NewEnterpriseVoiceAIPlatform(config *VoiceAIConfig) (*EnterpriseVoiceAIPlatform, error) {
    platform := &EnterpriseVoiceAIPlatform{
        cloudProviders: make(map[string]VoiceCloudInterface),
    }
    
    // Initialize conversational engine
    conversationalConfig := &ConversationalEngineConfig{
        PrimaryModelType:     config.PrimaryAIModel,
        FallbackModels:       config.FallbackModels,
        MaxConversationLength: config.MaxConversationLength,
        ContextWindowSize:    config.ContextWindowSize,
        PersonalityProfile:   config.PersonalityProfile,
    }
    
    var err error
    platform.conversationalEngine, err = NewAdvancedConversationalEngine(conversationalConfig)
    if err != nil {
        return nil, fmt.Errorf("failed to initialize conversational engine: %w", err)
    }
    
    // Initialize voice processor
    voiceConfig := &VoiceProcessorConfig{
        SpeechRecognitionModel: config.SpeechModel,
        VoiceSynthesisModel:   config.VoiceModel,
        NoiseReductionLevel:   config.NoiseReduction,
        LatencyRequirement:    config.LatencyRequirement,
        QualityLevel:          config.QualityLevel,
    }
    
    platform.voiceProcessor, err = NewEnterpriseVoiceProcessor(voiceConfig)
    if err != nil {
        return nil, fmt.Errorf("failed to initialize voice processor: %w", err)
    }
    
    // Initialize security framework
    securityConfig := &VoiceSecurityConfig{
        VoiceAuthenticationEnabled: true,
        CommandAuthorizationLevel:  "enterprise",
        AuditingEnabled:           true,
        EncryptionAtRest:          true,
        EncryptionInTransit:       true,
    }
    
    platform.securityFramework, err = NewVoiceSecurityFramework(securityConfig)
    if err != nil {
        return nil, fmt.Errorf("failed to initialize security framework: %w", err)
    }
    
    // Initialize infrastructure managers
    if err := platform.initializeInfrastructureManagers(config); err != nil {
        return nil, fmt.Errorf("failed to initialize infrastructure managers: %w", err)
    }
    
    return platform, nil
}

// ProcessVoiceCommand handles comprehensive voice command processing
func (p *EnterpriseVoiceAIPlatform) ProcessVoiceCommand(
    ctx context.Context,
    voiceInput *VoiceInput,
    userContext *UserContext,
) (*VoiceResponse, error) {
    p.mu.Lock()
    defer p.mu.Unlock()
    
    // Voice authentication and user identification
    authResult, err := p.securityFramework.AuthenticateVoice(voiceInput, userContext)
    if err != nil {
        return nil, fmt.Errorf("voice authentication failed: %w", err)
    }
    
    if !authResult.Authenticated {
        return p.generateAuthenticationFailureResponse(authResult.Reason)
    }
    
    // Process voice input
    processedInput, err := p.voiceProcessor.ProcessVoiceInput(ctx, voiceInput)
    if err != nil {
        return nil, fmt.Errorf("voice processing failed: %w", err)
    }
    
    // Generate conversational response
    conversationResponse, err := p.conversationalEngine.ProcessConversation(
        ctx, processedInput, userContext)
    if err != nil {
        return nil, fmt.Errorf("conversation processing failed: %w", err)
    }
    
    // Execute infrastructure commands if required
    if conversationResponse.RequiresInfrastructureAction {
        actionResult, err := p.executeInfrastructureAction(
            ctx, conversationResponse.InfrastructureAction, userContext)
        if err != nil {
            return nil, fmt.Errorf("infrastructure action failed: %w", err)
        }
        conversationResponse.ActionResult = actionResult
    }
    
    // Generate voice response
    voiceResponse, err := p.generateVoiceResponse(ctx, conversationResponse, userContext)
    if err != nil {
        return nil, fmt.Errorf("voice response generation failed: %w", err)
    }
    
    // Log for audit and analytics
    if err := p.logConversation(userContext, processedInput, voiceResponse); err != nil {
        // Log error but don't fail the request
        fmt.Printf("Failed to log conversation: %v\n", err)
    }
    
    return voiceResponse, nil
}

// VoiceEnabledKubernetesManager provides voice interface to Kubernetes operations
type VoiceEnabledKubernetesManager struct {
    // Core Kubernetes Integration
    clientset             kubernetes.Interface
    dynamicClient         dynamic.Interface
    
    // Voice-Specific Features
    commandTranslator     *KubernetesCommandTranslator
    naturalLanguageParser *KubernetesNLParser
    contextualExecutor    *ContextualKubernetesExecutor
    
    // Enterprise Features
    multiClusterManager   *VoiceMultiClusterManager
    rbacIntegration       *VoiceRBACIntegration
    auditTrail           *KubernetesVoiceAuditTrail
    
    // Advanced Capabilities
    conversationalDebugging *ConversationalDebuggingEngine
    intelligentTroubleshooting *IntelligentTroubleshootingEngine
    predictiveAnalysis    *PredictiveAnalysisEngine
    
    // Safety Features
    commandValidation     *VoiceCommandValidation
    confirmationRequests  *ConfirmationRequestManager
    rollbackCapabilities  *VoiceRollbackManager
}

// ProcessKubernetesVoiceCommand handles Kubernetes-specific voice commands
func (k *VoiceEnabledKubernetesManager) ProcessKubernetesVoiceCommand(
    ctx context.Context,
    command *NaturalLanguageCommand,
    userContext *UserContext,
) (*KubernetesActionResult, error) {
    
    // Parse natural language command
    parsedCommand, err := k.naturalLanguageParser.ParseCommand(command)
    if err != nil {
        return nil, fmt.Errorf("failed to parse command: %w", err)
    }
    
    // Validate command and permissions
    validationResult, err := k.commandValidation.ValidateCommand(parsedCommand, userContext)
    if err != nil {
        return nil, fmt.Errorf("command validation failed: %w", err)
    }
    
    if !validationResult.Valid {
        return &KubernetesActionResult{
            Success: false,
            Message: validationResult.Reason,
            RequiresConfirmation: validationResult.RequiresConfirmation,
        }, nil
    }
    
    // Check if command requires confirmation
    if validationResult.RequiresConfirmation {
        confirmationRequest, err := k.confirmationRequests.CreateConfirmationRequest(
            parsedCommand, validationResult.RiskLevel)
        if err != nil {
            return nil, fmt.Errorf("failed to create confirmation request: %w", err)
        }
        
        return &KubernetesActionResult{
            Success: false,
            Message: confirmationRequest.Message,
            RequiresConfirmation: true,
            ConfirmationToken: confirmationRequest.Token,
        }, nil
    }
    
    // Execute command with contextual awareness
    executionResult, err := k.contextualExecutor.ExecuteCommand(ctx, parsedCommand, userContext)
    if err != nil {
        return nil, fmt.Errorf("command execution failed: %w", err)
    }
    
    // Log for audit
    auditEntry := &KubernetesVoiceAuditEntry{
        UserID:        userContext.UserID,
        Command:       parsedCommand,
        Result:        executionResult,
        Timestamp:     time.Now(),
        SessionID:     userContext.SessionID,
    }
    
    if err := k.auditTrail.LogEntry(auditEntry); err != nil {
        // Log error but don't fail the request
        fmt.Printf("Failed to log audit entry: %v\n", err)
    }
    
    return executionResult, nil
}

// AdvancedNLPEngine provides sophisticated natural language processing
type AdvancedNLPEngine struct {
    // Core NLP Components
    intentClassifier      *AdvancedIntentClassifier
    entityExtractor       *AdvancedEntityExtractor
    sentimentAnalyzer     *SentimentAnalysisEngine
    
    // Context Understanding
    contextualProcessor   *ContextualNLProcessor
    conversationTracker   *ConversationTracker
    semanticAnalyzer      *SemanticAnalysisEngine
    
    // Domain-Specific Processing
    infrastructureNLP     *InfrastructureNLProcessor
    technicalTermProcessor *TechnicalTermProcessor
    acronymExpander       *AcronymExpansionEngine
    
    // Advanced Features
    ambiguityResolver     *AmbiguityResolutionEngine
    clarificationGenerator *ClarificationGenerator
    confidenceCalculator  *ConfidenceCalculator
    
    // Multi-Language Support
    languageDetector      *LanguageDetectionEngine
    translationEngine     *RealTimeTranslationEngine
    culturalAdaptation    *CulturalAdaptationEngine
}

// ProcessNaturalLanguage performs comprehensive NLP processing
func (n *AdvancedNLPEngine) ProcessNaturalLanguage(
    ctx context.Context,
    input *NaturalLanguageInput,
    context *ConversationContext,
) (*NLPResult, error) {
    
    // Detect language and cultural context
    languageResult, err := n.languageDetector.DetectLanguage(input.Text)
    if err != nil {
        return nil, fmt.Errorf("language detection failed: %w", err)
    }
    
    // Translate if necessary
    processedText := input.Text
    if languageResult.Language != "en" {
        translation, err := n.translationEngine.Translate(input.Text, languageResult.Language, "en")
        if err != nil {
            return nil, fmt.Errorf("translation failed: %w", err)
        }
        processedText = translation.Text
    }
    
    // Expand technical terms and acronyms
    expandedText, err := n.technicalTermProcessor.ProcessTechnicalTerms(processedText)
    if err != nil {
        return nil, fmt.Errorf("technical term processing failed: %w", err)
    }
    
    expandedText, err = n.acronymExpander.ExpandAcronyms(expandedText, context.Domain)
    if err != nil {
        return nil, fmt.Errorf("acronym expansion failed: %w", err)
    }
    
    // Perform intent classification
    intentResult, err := n.intentClassifier.ClassifyIntent(expandedText, context)
    if err != nil {
        return nil, fmt.Errorf("intent classification failed: %w", err)
    }
    
    // Extract entities
    entityResult, err := n.entityExtractor.ExtractEntities(expandedText, intentResult.Intent)
    if err != nil {
        return nil, fmt.Errorf("entity extraction failed: %w", err)
    }
    
    // Analyze sentiment
    sentimentResult, err := n.sentimentAnalyzer.AnalyzeSentiment(expandedText)
    if err != nil {
        return nil, fmt.Errorf("sentiment analysis failed: %w", err)
    }
    
    // Perform semantic analysis
    semanticResult, err := n.semanticAnalyzer.AnalyzeSemantics(expandedText, context)
    if err != nil {
        return nil, fmt.Errorf("semantic analysis failed: %w", err)
    }
    
    // Calculate confidence scores
    confidenceScore, err := n.confidenceCalculator.CalculateConfidence(
        intentResult, entityResult, semanticResult)
    if err != nil {
        return nil, fmt.Errorf("confidence calculation failed: %w", err)
    }
    
    // Resolve ambiguities if confidence is low
    if confidenceScore < 0.7 {
        disambiguatedResult, err := n.ambiguityResolver.ResolveAmbiguities(
            expandedText, intentResult, entityResult, context)
        if err != nil {
            return nil, fmt.Errorf("ambiguity resolution failed: %w", err)
        }
        
        if disambiguatedResult.RequiresClarification {
            clarification, err := n.clarificationGenerator.GenerateClarification(
                disambiguatedResult.AmbiguousElements)
            if err != nil {
                return nil, fmt.Errorf("clarification generation failed: %w", err)
            }
            
            return &NLPResult{
                RequiresClarification: true,
                ClarificationRequest:  clarification,
                ConfidenceScore:      confidenceScore,
            }, nil
        }
        
        intentResult = disambiguatedResult.Intent
        entityResult = disambiguatedResult.Entities
    }
    
    return &NLPResult{
        Intent:               intentResult,
        Entities:            entityResult,
        Sentiment:           sentimentResult,
        SemanticAnalysis:    semanticResult,
        ConfidenceScore:     confidenceScore,
        ProcessedText:       expandedText,
        OriginalLanguage:    languageResult.Language,
        RequiresClarification: false,
    }, nil
}

// MultiModalIntegrationFramework orchestrates multiple interaction modalities
type MultiModalIntegrationFramework struct {
    // Core Modalities
    voiceInterface        *VoiceInterface
    visualInterface       *VisualInterface
    gestureInterface      *GestureInterface
    hapticInterface       *HapticInterface
    
    // Integration Components
    modalityCoordinator   *ModalityCoordinator
    contextSwitcher       *ContextSwitchingEngine
    preferenceEngine      *UserPreferenceEngine
    
    // Adaptive Features
    adaptiveUI            *AdaptiveUserInterface
    accessibilityEngine   *AccessibilityEngine
    personalizationEngine *PersonalizationEngine
    
    // Cross-Modal Features
    modalityFusion        *ModalityFusionEngine
    crossModalMemory      *CrossModalMemoryManager
    consistencyManager    *ConsistencyManager
    
    // Performance Optimization
    modalityCache         *ModalityCache
    loadBalancer          *ModalityLoadBalancer
    
    // Analytics
    interactionAnalytics  *InteractionAnalytics
    usagePatternAnalyzer  *UsagePatternAnalyzer
}

// VisualResponseGenerator creates sophisticated visual representations
type VisualResponseGenerator struct {
    // Visualization Engines
    chartGenerator        *DynamicChartGenerator
    diagramCreator        *InfrastructureDiagramCreator
    dashboardBuilder      *DynamicDashboardBuilder
    
    // Advanced Features
    arVisualizer          *AugmentedRealityVisualizer
    vrInterface           *VirtualRealityInterface
    holographicDisplay    *HolographicDisplayManager
    
    // Context-Aware Generation
    contextualRenderer    *ContextualRenderer
    adaptiveLayout        *AdaptiveLayoutEngine
    responsiveDesign      *ResponsiveDesignEngine
    
    // Enterprise Features
    brandingEngine        *BrandingEngine
    templateManager       *TemplateManager
    complianceRenderer    *ComplianceRenderer
}

// ProcessMultiModalInteraction handles complex multi-modal interactions
func (m *MultiModalIntegrationFramework) ProcessMultiModalInteraction(
    ctx context.Context,
    interaction *MultiModalInteraction,
    userContext *UserContext,
) (*MultiModalResponse, error) {
    
    // Analyze interaction modalities
    modalityAnalysis, err := m.modalityCoordinator.AnalyzeModalities(interaction)
    if err != nil {
        return nil, fmt.Errorf("modality analysis failed: %w", err)
    }
    
    // Determine optimal response modalities
    responseModalities, err := m.determineResponseModalities(modalityAnalysis, userContext)
    if err != nil {
        return nil, fmt.Errorf("response modality determination failed: %w", err)
    }
    
    // Process each input modality
    modalityResults := make(map[string]*ModalityResult)
    
    if modalityAnalysis.HasVoice {
        voiceResult, err := m.voiceInterface.ProcessVoiceInput(
            ctx, interaction.VoiceInput, userContext)
        if err != nil {
            return nil, fmt.Errorf("voice processing failed: %w", err)
        }
        modalityResults["voice"] = voiceResult
    }
    
    if modalityAnalysis.HasGesture {
        gestureResult, err := m.gestureInterface.ProcessGestureInput(
            ctx, interaction.GestureInput, userContext)
        if err != nil {
            return nil, fmt.Errorf("gesture processing failed: %w", err)
        }
        modalityResults["gesture"] = gestureResult
    }
    
    if modalityAnalysis.HasVisual {
        visualResult, err := m.visualInterface.ProcessVisualInput(
            ctx, interaction.VisualInput, userContext)
        if err != nil {
            return nil, fmt.Errorf("visual processing failed: %w", err)
        }
        modalityResults["visual"] = visualResult
    }
    
    // Fuse modality results
    fusedResult, err := m.modalityFusion.FuseModalityResults(modalityResults, userContext)
    if err != nil {
        return nil, fmt.Errorf("modality fusion failed: %w", err)
    }
    
    // Generate multi-modal response
    response, err := m.generateMultiModalResponse(ctx, fusedResult, responseModalities, userContext)
    if err != nil {
        return nil, fmt.Errorf("multi-modal response generation failed: %w", err)
    }
    
    return response, nil
}

// GestureRecognitionEngine provides sophisticated gesture recognition
type GestureRecognitionEngine struct {
    // Recognition Models
    handGestureModel      *HandGestureModel
    bodyGestureModel      *BodyGestureModel
    faceGestureModel      *FaceGestureModel
    
    // Context Understanding
    gestureContextAnalyzer *GestureContextAnalyzer
    intentionRecognizer   *GestureIntentionRecognizer
    sequenceAnalyzer      *GestureSequenceAnalyzer
    
    // Advanced Features
    customGestureTrainer  *CustomGestureTrainer
    gestureAdaptation     *GestureAdaptationEngine
    ergonomicOptimizer    *ErgonomicOptimizer
    
    // Integration Features
    voiceGestureSync      *VoiceGestureSynchronizer
    visualGestureMapping  *VisualGestureMappingEngine
    
    // Performance Features
    realtimeProcessor     *RealtimeGestureProcessor
    gestureCache          *GestureCache
    predictionEngine      *GesturePredictionEngine
}

// ProcessGestureCommand handles sophisticated gesture-based commands
func (g *GestureRecognitionEngine) ProcessGestureCommand(
    ctx context.Context,
    gestureInput *GestureInput,
    userContext *UserContext,
) (*GestureResult, error) {
    
    // Real-time gesture recognition
    recognitionResult, err := g.realtimeProcessor.ProcessGesture(gestureInput)
    if err != nil {
        return nil, fmt.Errorf("gesture recognition failed: %w", err)
    }
    
    // Analyze gesture context
    contextAnalysis, err := g.gestureContextAnalyzer.AnalyzeContext(
        recognitionResult, userContext)
    if err != nil {
        return nil, fmt.Errorf("gesture context analysis failed: %w", err)
    }
    
    // Recognize intention
    intention, err := g.intentionRecognizer.RecognizeIntention(
        recognitionResult, contextAnalysis)
    if err != nil {
        return nil, fmt.Errorf("gesture intention recognition failed: %w", err)
    }
    
    // Check for gesture sequences
    sequenceResult, err := g.sequenceAnalyzer.AnalyzeSequence(
        recognitionResult, userContext.GestureHistory)
    if err != nil {
        return nil, fmt.Errorf("gesture sequence analysis failed: %w", err)
    }
    
    return &GestureResult{
        RecognizedGesture:    recognitionResult,
        Context:             contextAnalysis,
        Intention:           intention,
        SequenceInformation: sequenceResult,
        Confidence:          recognitionResult.Confidence,
    }, nil
}

// HapticFeedbackManager provides sophisticated haptic responses
type HapticFeedbackManager struct {
    // Haptic Devices
    hapticDevices         map[string]HapticDevice
    deviceManager         *HapticDeviceManager
    calibrationEngine     *HapticCalibrationEngine
    
    // Feedback Generation
    feedbackGenerator     *HapticFeedbackGenerator
    patternLibrary        *HapticPatternLibrary
    adaptiveFeedback      *AdaptiveHapticEngine
    
    // Context Awareness
    contextualHaptics     *ContextualHapticsEngine
    emotionalHaptics      *EmotionalHapticsEngine
    informationalHaptics  *InformationalHapticsEngine
    
    // Advanced Features
    spatialHaptics        *SpatialHapticsEngine
    temporalHaptics       *TemporalHapticsEngine
    multiModalHaptics     *MultiModalHapticsEngine
    
    // Personalization
    hapticPreferences     *HapticPreferenceEngine
    accessibilityHaptics  *AccessibilityHapticsEngine
    
    // Performance
    latencyOptimizer      *HapticLatencyOptimizer
    qualityManager        *HapticQualityManager
}

// GenerateHapticFeedback creates contextual haptic responses
func (h *HapticFeedbackManager) GenerateHapticFeedback(
    ctx context.Context,
    feedbackRequest *HapticFeedbackRequest,
    userContext *UserContext,
) (*HapticResponse, error) {
    
    // Analyze feedback context
    contextAnalysis, err := h.contextualHaptics.AnalyzeContext(feedbackRequest, userContext)
    if err != nil {
        return nil, fmt.Errorf("haptic context analysis failed: %w", err)
    }
    
    // Generate base feedback pattern
    basePattern, err := h.feedbackGenerator.GenerateBasePattern(
        feedbackRequest.Type, contextAnalysis)
    if err != nil {
        return nil, fmt.Errorf("base haptic pattern generation failed: %w", err)
    }
    
    // Add emotional context
    emotionalPattern, err := h.emotionalHaptics.AddEmotionalContext(
        basePattern, feedbackRequest.EmotionalContext)
    if err != nil {
        return nil, fmt.Errorf("emotional haptic enhancement failed: %w", err)
    }
    
    // Add informational elements
    informationalPattern, err := h.informationalHaptics.AddInformationalElements(
        emotionalPattern, feedbackRequest.InformationalContent)
    if err != nil {
        return nil, fmt.Errorf("informational haptic enhancement failed: %w", err)
    }
    
    // Apply spatial and temporal effects
    spatialPattern, err := h.spatialHaptics.ApplySpatialEffects(
        informationalPattern, feedbackRequest.SpatialContext)
    if err != nil {
        return nil, fmt.Errorf("spatial haptic effects failed: %w", err)
    }
    
    temporalPattern, err := h.temporalHaptics.ApplyTemporalEffects(
        spatialPattern, feedbackRequest.TemporalContext)
    if err != nil {
        return nil, fmt.Errorf("temporal haptic effects failed: %w", err)
    }
    
    // Personalize based on user preferences
    personalizedPattern, err := h.hapticPreferences.PersonalizePattern(
        temporalPattern, userContext)
    if err != nil {
        return nil, fmt.Errorf("haptic personalization failed: %w", err)
    }
    
    // Apply accessibility enhancements if needed
    accessiblePattern := personalizedPattern
    if userContext.RequiresAccessibilitySupport {
        accessiblePattern, err = h.accessibilityHaptics.EnhanceForAccessibility(
            personalizedPattern, userContext.AccessibilityRequirements)
        if err != nil {
            return nil, fmt.Errorf("accessibility haptic enhancement failed: %w", err)
        }
    }
    
    // Optimize for target devices
    optimizedPatterns := make(map[string]*HapticPattern)
    for deviceID := range userContext.AvailableHapticDevices {
        device := h.hapticDevices[deviceID]
        optimizedPattern, err := h.optimizeForDevice(accessiblePattern, device)
        if err != nil {
            return nil, fmt.Errorf("haptic optimization for device %s failed: %w", deviceID, err)
        }
        optimizedPatterns[deviceID] = optimizedPattern
    }
    
    return &HapticResponse{
        Patterns:          optimizedPatterns,
        Duration:          accessiblePattern.Duration,
        Priority:          feedbackRequest.Priority,
        SynchronizationInfo: h.calculateSynchronizationInfo(optimizedPatterns),
    }, nil
}