//! Advanced Integration Module for Advanced Mode
//!
//! This module provides the highest level of AI integration, combining quantum-inspired
//! processing, neuromorphic computing, advanced AI optimization, and next-generation
//! computer vision techniques into a unified Advanced processing framework.
//!
//! # Features
//!
//! - Neural-Quantum Hybrid Processing
//! - Multi-Modal AI Fusion
//! - Adaptive Advanced Pipeline
//! - Real-Time Cognitive Enhancement
//! - Self-Optimizing Intelligent Systems
//! - Advanced Meta-Learning
//! - Emergent Behavior Detection
//! - Quantum-Enhanced Neural Networks
//!
//! **Note**: This module has been refactored into smaller, focused sub-modules
//! for better maintainability. The original API is preserved for backward compatibility.

#![allow(missing_docs)]
#![allow(dead_code)]

// Import the modular implementation
#[path = "integration_modules/mod.rs"]
pub mod integration_modules;

// Re-export types for backward compatibility
pub use integration_modules::{
    // Processing Core
    batch_process_advanced,
    process_with_advanced_mode,
    realtime_advanced_stream,
    // Data Structures
    AdvancedAdvancedProcessingResult,
    // Cross-Module Coordination
    AdvancedCrossModuleCoordinator,
    AdvancedInitializationReport,
    AdvancedInputData,
    AdvancedModeStatus,
    AdvancedPerformanceMetrics,
    AdvancedProcessingResult,

    AdvancedResourceManager,
    // Neural-Quantum Hybrid Processing
    AlignmentStrategy,
    AllocationDecision,
    BehaviorPattern,
    ClusteringCoordinationInterface,
    ClusteringPerformanceFeedback,
    ComplexityMetrics,
    ComputationalResources,
    CrossModuleAdvancedProcessingResult,
    CrossModuleFewShotLearner,
    CrossModuleFusedResult,
    CrossModuleLearningEpisode,
    CrossModulePerformanceTracker,
    DomainAdaptationMethod,
    EfficiencyMetrics,
    EmergenceIndicator,
    EmergentBehaviorDetection,
    EmergentBehaviorDetector,
    FeatureAlignmentConfig,
    FusionQualityIndicators,
    FusionStrategy,
    GlobalAdvancedOptimizer,
    GlobalResourceStrategy,
    HybridFusionParameters,
    ImpactMeasurement,
    ImpactTracker,
    MetaLearningAlgorithm,
    MetaLearningPerformance,
    MetaLearningSystem,
    ModificationAction,
    ModificationEvent,
    ModificationRule,
    ModulePerformanceMetrics,
    MultiObjectiveTargets,
    NeuralNetworkInterface,
    NeuralPerformanceMetric,
    NeuralQuantumHybridProcessor,
    NeuromorphicProcessingMetrics,
    PerformanceBottleneck,
    PerformanceMetrics,
    PerformancePredictionModel,
    PerformanceTracker,
    ProcessingTimingBreakdown,
    QualityAssuranceMetrics,
    QuantumProcessingMetrics,
    ReallocationTrigger,
    RealtimeIndicators,
    ResourceAllocation,
    ResourceUsageStatistics,
    SafetyConstraints,
    SafetyLevel,
    SelfModificationEngine,
    SpatialPerformanceMetric,
    SpatialProcessingInterface,
    SystemPerformanceMetrics,
    TaskAdaptationParams,
    TransferLearningConfig,
    TriggerCondition,
    UncertaintyQuantification,

    UnifiedMetaLearningSystem,

    VisionResult,
};

#[cfg(test)]
mod tests {
    use super::*;
    use crate::activity_recognition::*;
    use crate::streaming::{Frame, FrameMetadata};
    use scirs2_core::ndarray::Array2;
    use std::collections::HashMap;
    use std::time::Instant;

    #[test]
    fn test_neural_quantum_hybrid_processor() {
        let processor = NeuralQuantumHybridProcessor::new_for_testing();
        assert!(processor.fusion_params.quantum_weight > 0.0);
        assert!(processor.fusion_params.neuromorphic_weight > 0.0);
        assert!(processor.fusion_params.classical_weight > 0.0);
    }

    #[test]
    fn test_advanced_processing() {
        let test_frame = Frame {
            data: Array2::zeros((240, 320)),
            timestamp: Instant::now(),
            index: 0,
            metadata: Some(FrameMetadata {
                width: 320,
                height: 240,
                fps: 30.0,
                channels: 1,
            }),
        };

        let result = process_with_advanced_mode(test_frame);
        assert!(result.is_ok());
    }

    #[test]
    fn test_emergent_behavior_detection() {
        let mut processor = NeuralQuantumHybridProcessor::new_for_testing();
        let activity_result = ActivityRecognitionResult {
            activities: Vec::new(),
            sequences: Vec::new(),
            interactions: Vec::new(),
            scene_summary: ActivitySummary {
                dominant_activity: "test".to_string(),
                diversity_index: 0.5,
                energy_level: 0.5,
                social_interaction_level: 0.5,
                complexity_score: 0.5,
                anomaly_indicators: Vec::new(),
            },
            timeline: ActivityTimeline {
                segments: Vec::new(),
                resolution: 1.0,
                flow_patterns: Vec::new(),
            },
            confidence_scores: ConfidenceScores {
                overall: 0.8,
                per_activity: HashMap::new(),
                temporal_segmentation: 0.8,
                spatial_localization: 0.8,
            },
            uncertainty: crate::activity_recognition::ActivityUncertainty {
                epistemic: 0.1,
                aleatoric: 0.1,
                temporal: 0.1,
                spatial: 0.1,
                confusion_matrix: Array2::zeros((5, 5)),
            },
        };

        let behaviors = processor.detect_emergent_behaviors(&activity_result);
        assert!(behaviors.is_ok());
    }

    #[test]
    fn test_advanced_input_data() {
        let vision_data = scirs2_core::ndarray::Array3::zeros((240, 320, 3));
        let input_data = AdvancedInputData::with_vision_data(vision_data);

        assert!(input_data.has_data());
        assert_eq!(input_data.data_source_count(), 1);
    }

    #[test]
    fn test_cross_module_coordinator() {
        let coordinator_result = AdvancedCrossModuleCoordinator::new_for_testing();
        assert!(coordinator_result.is_ok());
    }

    #[test]
    fn test_advanced_mode_initialization() {
        let coordinator = AdvancedCrossModuleCoordinator::new_for_testing();
        assert!(coordinator.is_ok());

        // Test initialization data structures
        let coordinator = coordinator.expect("Operation failed");
        // Verify coordinator was created successfully - this validates the structure
        assert!(format!("{:?}", coordinator).contains("AdvancedCrossModuleCoordinator"));
    }
}
