use serde::{Deserialize, Serialize}; use anyhow::{Result, anyhow}; use std::collections::HashMap; use dashmap::DashMap; use chrono::{Utc, Duration}; use rayon::prelude::*; use uuid::Uuid; use crate::teleport::{TeleportCompressor, BF16}; use crate::moe::MixtureOfExperts; use crate::kanban::KanbanBoard; /// Adaptive Trinary Logic for Quantum Tunneling /// Represents -1, 0, +1 states for quantum superposition handling #[derive(Debug, Clone, Copy, PartialEq, PartialOrd, Serialize, Deserialize)] pub enum Trinary { Negative = -1, Neutral = 0, Positive = 1, } impl Trinary { pub fn from_f32(value: f32) -> Self { if value < -0.1 { Trinary::Negative } else if value > 0.1 { Trinary::Positive } else { Trinary::Neutral } } pub fn to_f32(self) -> f32 { match self { Trinary::Negative => -1.0, Trinary::Neutral => 0.0, Trinary::Positive => 1.0, } } pub fn quantum_tunnel(&self, probability: f32) -> Self { if probability > 0.8 { // High probability tunneling - flip state match self { Trinary::Negative => Trinary::Positive, Trinary::Positive => Trinary::Negative, Trinary::Neutral => Trinary::from_f32(rand::random::() - 0.5), } } else if probability > 0.3 { // Medium probability - maintain but adjust *self } else { // Low probability - collapse to neutral Trinary::Neutral } } } /// Metanarrative Harness for MoE Integration /// Provides narrative context and meaning to the optimization process #[derive(Debug, Clone, Serialize, Deserialize)] pub struct MetanarrativeContext { pub narrative_id: String, pub story_arc: StoryArc, pub character_roles: HashMap, pub plot_points: Vec, pub thematic_elements: Vec, pub emotional_resonance: f32, pub purpose_alignment: f32, } #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] pub enum StoryArc { Creation, Optimization, Transcendence, Equilibrium, Evolution, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct CharacterRole { pub role_name: String, pub purpose: String, pub capabilities: Vec, pub growth_potential: f32, pub narrative_weight: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct PlotPoint { pub point_id: String, pub description: String, pub significance: f32, pub required_optimization: OptimizationLevel, pub trinary_logic_required: bool, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ThematicElement { pub theme: String, pub manifestation: String, pub optimization_impact: f32, pub narrative_coherence: f32, } /// Unified Substrate Signal Optimization System with Metanarrative Harness /// Integrates metanarrative context with MoE for meaningful optimization #[derive(Debug, Clone)] pub struct UnifiedSubstrateOptimizer { /// Unified signal state cache pub substrate_state: DashMap, /// Quantum coherence map with trinary logic pub quantum_coherence: DashMap, /// Thermal equilibrium state pub thermal_equilibrium: DashMap, /// Network harmony state pub network_harmony: DashMap, /// Trinary logic cache for quantum tunneling pub trinary_cache: DashMap, /// Metanarrative context cache pub metanarrative_cache: DashMap, /// Teleport compressor for unified compression pub teleport: TeleportCompressor, /// MoE with metanarrative harness pub moe: MixtureOfExperts, /// Kanban interface for system management pub kanban: KanbanBoard, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct SubstrateState { pub timestamp: chrono::DateTime, pub substrate_id: String, pub components: Vec, pub signal_interconnectivity: SignalMatrix, pub quantum_entanglement: Vec, pub compression_ratio: f32, pub optimization_level: OptimizationLevel, pub bf16_unified_state: Vec, pub equilibrium_score: f32, pub trinary_coherence: Vec, pub metanarrative_alignment: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct HardwareComponent { pub component_type: ComponentType, pub identifier: String, pub signal_characteristics: SignalCharacteristics, pub thermal_profile: ThermalProfile, pub quantum_state: QuantumState, pub network_profile: NetworkProfile, pub trinary_logic_state: TrinaryLogicState, pub narrative_role: Option, } #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] pub enum ComponentType { CPU, GPU, RAM, NVMe, PCIe, PowerSupply, CoolingSystem, Motherboard, NetworkInterface, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct SignalCharacteristics { pub frequency: f64, pub amplitude: f64, pub phase: f64, pub jitter: f64, pub signal_to_noise: f64, pub timing_precision: f64, pub compression_efficiency: f32, pub trinary_stability: f32, pub narrative_resonance: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ThermalProfile { pub temperature: f32, pub thermal_gradient: Vec, pub heat_dissipation_rate: f32, pub throttling_threshold: f32, pub cooling_efficiency: f32, pub thermal_compression: f32, pub trinary_thermal_state: Trinary, pub narrative_balance: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct QuantumState { pub coherence_time: Duration, pub entanglement_strength: f32, pub superposition_stability: f32, pub quantum_tunnels: usize, pub energy_landscape: Vec, pub annealing_progress: f32, pub trinary_tunneling: Vec, pub narrative_coherence: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct NetworkProfile { pub bandwidth: f64, pub latency: f64, pub packet_loss: f64, pub network_jitter: f64, pub compression_ratio: f32, pub harmony_score: f32, pub trinary_sync_state: Trinary, pub narrative_flow: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct TrinaryLogicState { pub current_state: Trinary, pub tunneling_probability: f32, pub coherence_duration: Duration, pub entanglement_partners: Vec, pub superposition_history: Vec, pub narrative_significance: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct SignalMatrix { pub interconnectivity_map: HashMap>, pub signal_propagation: Vec, pub interference_patterns: Vec, pub optimization_paths: Vec>, pub quantum_tunneling: HashMap, pub trinary_interactions: HashMap, pub narrative_connections: HashMap, } #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)] pub enum OptimizationLevel { SubstrateMinimal, SubstrateBalanced, SubstrateAggressive, SubstrateQuantum, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct QuantumCoherenceState { pub coherence_duration: Duration, pub entanglement_network: Vec, pub superposition_matrix: Vec>, pub quantum_annealing_schedule: Vec, pub trinary_coherence_map: HashMap, pub tunneling_frequency: f32, pub narrative_alignment: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct ThermalEquilibriumState { pub equilibrium_temperature: f32, pub thermal_gradient_map: HashMap, pub heat_flow_optimization: Vec, pub cooling_efficiency_map: HashMap, pub trinary_thermal_balance: Trinary, pub narrative_harmony: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct NetworkHarmonyState { pub harmony_bandwidth: f64, pub latency_optimization: f64, pub packet_loss_reduction: f64, pub network_jitter_stabilization: f64, pub trinary_sync_network: HashMap, pub narrative_continuity: f32, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct TrinaryState { pub state_id: String, pub current_value: Trinary, pub probability_distribution: [f32; 3], // [-1, 0, +1] pub tunneling_history: Vec, pub entanglement_links: Vec, pub coherence_time: Duration, pub narrative_context: String, } #[derive(Debug, Clone, Serialize, Deserialize)] pub struct SubstrateOptimization { pub substrate_id: String, pub optimization_level: OptimizationLevel, pub equilibrium_score: f32, pub compression_ratio: f32, pub trinary_coherence: f32, pub narrative_alignment: f32, pub performance_gain: f32, pub thermal_improvement: f32, pub network_optimization: f32, } #[derive(Debug, Clone)] pub struct HardwareConfig { pub cpu_cores: u8, pub cpu_base_freq: f64, pub cpu_boost_freq: f64, pub ram_capacity_gb: u64, pub ram_frequency_mhz: f64, pub gpu_vram_gb: u64, pub gpu_core_clock: f64, pub nvme_capacity_tb: f64, pub pcie_lanes: u8, pub story_arc: StoryArc, } impl Default for UnifiedSubstrateOptimizer { fn default() -> Self { Self::new() } } impl UnifiedSubstrateOptimizer { pub fn new() -> Self { Self { substrate_state: DashMap::new(), quantum_coherence: DashMap::new(), thermal_equilibrium: DashMap::new(), network_harmony: DashMap::new(), trinary_cache: DashMap::new(), metanarrative_cache: DashMap::new(), teleport: TeleportCompressor::new(), moe: MixtureOfExperts::new(), kanban: KanbanBoard::new("Unified Substrate Control".to_string()), } } /// Initialize unified substrate with metanarrative context pub async fn initialize_substrate(&self, hardware_config: HardwareConfig) -> Result { let substrate_id = Uuid::new_v4().to_string(); // Create metanarrative context let metanarrative = self.create_metanarrative_context(&substrate_id, &hardware_config).await?; // Create unified substrate state with narrative integration let substrate_state = self.create_unified_substrate_state(&substrate_id, hardware_config, &metanarrative).await?; // Initialize quantum coherence with trinary logic and narrative self.initialize_quantum_coherence(&substrate_id, &substrate_state, &metanarrative).await?; // Initialize thermal equilibrium with narrative balance self.initialize_thermal_equilibrium(&substrate_id, &substrate_state, &metanarrative).await?; // Initialize network harmony with narrative flow self.initialize_network_harmony(&substrate_id, &substrate_state, &metanarrative).await?; // Cache the unified state with metanarrative self.substrate_state.insert(substrate_id.clone(), substrate_state); self.metanarrative_cache.insert(substrate_id.clone(), metanarrative); Ok(substrate_id) } /// Optimize unified substrate with metanarrative harness and MoE pub async fn optimize_substrate(&self, substrate_id: &str) -> Result { let substrate = self.substrate_state.get(substrate_id) .ok_or_else(|| anyhow!("Substrate not found: {}", substrate_id))?; let metanarrative = self.metanarrative_cache.get(substrate_id) .ok_or_else(|| anyhow!("Metanarrative not found: {}", substrate_id))?; // Create optimization narrative for MoE let optimization_narrative = self.create_optimization_narrative(substrate.value(), metanarrative.value()).await?; // Process with MoE using metanarrative context let _moe_result = self.moe.route(&optimization_narrative).await?; // Apply trinary logic optimization with narrative guidance let trinary_optimized = self.apply_trinary_optimization_with_narrative(substrate.value(), metanarrative.value()).await?; // Calculate unified optimization metrics with narrative alignment let optimization = SubstrateOptimization { substrate_id: substrate_id.to_string(), optimization_level: OptimizationLevel::SubstrateQuantum, equilibrium_score: self.calculate_equilibrium_score(&trinary_optimized).await?, compression_ratio: self.calculate_compression_ratio(&trinary_optimized).await?, trinary_coherence: self.calculate_trinary_coherence(&trinary_optimized).await?, narrative_alignment: self.calculate_narrative_alignment(metanarrative.value(), &trinary_optimized).await?, performance_gain: self.calculate_performance_gain(substrate.value(), &trinary_optimized).await?, thermal_improvement: self.calculate_thermal_improvement(substrate.value(), &trinary_optimized).await?, network_optimization: self.calculate_network_optimization(substrate.value(), &trinary_optimized).await?, }; Ok(optimization) } /// Create metanarrative context for the substrate async fn create_metanarrative_context(&self, substrate_id: &str, config: &HardwareConfig) -> Result { let narrative_id = format!("narrative_{}", substrate_id); // Create character roles for each component let mut character_roles = HashMap::new(); character_roles.insert("CPU".to_string(), CharacterRole { role_name: "The Strategist".to_string(), purpose: "Orchestrates computational decisions and maintains system intelligence".to_string(), capabilities: vec!["Parallel processing".to_string(), "Decision optimization".to_string()], growth_potential: 0.8, narrative_weight: 0.9, }); character_roles.insert("GPU".to_string(), CharacterRole { role_name: "The Visionary".to_string(), purpose: "Handles visual computation and parallel processing tasks".to_string(), capabilities: vec!["Graphics rendering".to_string(), "Parallel computation".to_string()], growth_potential: 0.9, narrative_weight: 0.8, }); character_roles.insert("RAM".to_string(), CharacterRole { role_name: "The Memory Keeper".to_string(), purpose: "Maintains active data and enables rapid access to information".to_string(), capabilities: vec!["Data storage".to_string(), "Rapid retrieval".to_string()], growth_potential: 0.7, narrative_weight: 0.7, }); character_roles.insert("NVMe".to_string(), CharacterRole { role_name: "The Archive".to_string(), purpose: "Preserves long-term data and provides persistent storage".to_string(), capabilities: vec!["Data persistence".to_string(), "High-speed access".to_string()], growth_potential: 0.6, narrative_weight: 0.6, }); // Create plot points based on optimization journey let plot_points = vec![ PlotPoint { point_id: "initialization".to_string(), description: "System initialization and component awakening".to_string(), significance: 0.8, required_optimization: OptimizationLevel::SubstrateMinimal, trinary_logic_required: false, }, PlotPoint { point_id: "optimization".to_string(), description: "Quantum optimization and signal refinement".to_string(), significance: 0.9, required_optimization: OptimizationLevel::SubstrateAggressive, trinary_logic_required: true, }, PlotPoint { point_id: "transcendence".to_string(), description: "Achieving unified equilibrium and transcendent performance".to_string(), significance: 1.0, required_optimization: OptimizationLevel::SubstrateQuantum, trinary_logic_required: true, }, ]; // Create thematic elements let thematic_elements = vec![ ThematicElement { theme: "Unity".to_string(), manifestation: "All components working in perfect harmony".to_string(), optimization_impact: 0.9, narrative_coherence: 0.95, }, ThematicElement { theme: "Balance".to_string(), manifestation: "Thermal, electrical, and computational equilibrium".to_string(), optimization_impact: 0.8, narrative_coherence: 0.9, }, ThematicElement { theme: "Evolution".to_string(), manifestation: "Continuous improvement and adaptation".to_string(), optimization_impact: 0.7, narrative_coherence: 0.85, }, ]; Ok(MetanarrativeContext { narrative_id, story_arc: config.story_arc.clone(), character_roles, plot_points, thematic_elements, emotional_resonance: 0.85, purpose_alignment: 0.9, }) } /// Create unified substrate state with narrative integration async fn create_unified_substrate_state( &self, substrate_id: &str, config: HardwareConfig, metanarrative: &MetanarrativeContext ) -> Result { let mut components = Vec::new(); // Create CPU component with narrative role components.push(HardwareComponent { component_type: ComponentType::CPU, identifier: format!("cpu_{}_cores", config.cpu_cores), signal_characteristics: SignalCharacteristics { frequency: config.cpu_base_freq, amplitude: 1.0, phase: 0.0, jitter: 0.01, signal_to_noise: 40.0, timing_precision: 0.99, compression_efficiency: 0.8, trinary_stability: 0.9, narrative_resonance: 0.9, }, thermal_profile: ThermalProfile { temperature: 45.0, thermal_gradient: vec![0.1, 0.2, 0.1], heat_dissipation_rate: 0.8, throttling_threshold: 85.0, cooling_efficiency: 0.7, thermal_compression: 0.6, trinary_thermal_state: Trinary::Neutral, narrative_balance: 0.8, }, quantum_state: QuantumState { coherence_time: Duration::seconds(10), entanglement_strength: 0.8, superposition_stability: 0.9, quantum_tunnels: 5, energy_landscape: vec![BF16::from_f32(0.5); 10], annealing_progress: 0.0, trinary_tunneling: vec![Trinary::Neutral; 5], narrative_coherence: 0.85, }, network_profile: NetworkProfile { bandwidth: 1000.0, latency: 0.1, packet_loss: 0.001, network_jitter: 0.01, compression_ratio: 0.7, harmony_score: 0.8, trinary_sync_state: Trinary::Positive, narrative_flow: 0.85, }, trinary_logic_state: TrinaryLogicState { current_state: Trinary::Positive, tunneling_probability: 0.3, coherence_duration: Duration::seconds(5), entanglement_partners: vec!["GPU".to_string(), "RAM".to_string()], superposition_history: vec![Trinary::Neutral, Trinary::Positive], narrative_significance: 0.9, }, narrative_role: metanarrative.character_roles.get("CPU").cloned(), }); // Add other components similarly... Ok(SubstrateState { timestamp: Utc::now(), substrate_id: substrate_id.to_string(), components, signal_interconnectivity: SignalMatrix { interconnectivity_map: HashMap::new(), signal_propagation: vec![], interference_patterns: vec![], optimization_paths: vec![], quantum_tunneling: HashMap::new(), trinary_interactions: HashMap::new(), narrative_connections: HashMap::new(), }, quantum_entanglement: vec![], compression_ratio: 0.0, optimization_level: OptimizationLevel::SubstrateMinimal, bf16_unified_state: vec![], equilibrium_score: 0.0, trinary_coherence: vec![], metanarrative_alignment: 0.0, }) } /// Apply trinary optimization with narrative guidance async fn apply_trinary_optimization_with_narrative( &self, substrate: &SubstrateState, metanarrative: &MetanarrativeContext ) -> Result { let mut optimized = substrate.clone(); // Apply trinary logic based on narrative context for component in &mut optimized.components { if let Some(role) = &component.narrative_role { // Adjust trinary state based on character role and narrative let narrative_influence = role.narrative_weight * metanarrative.emotional_resonance; component.trinary_logic_state.current_state = match role.role_name.as_str() { "The Strategist" => Trinary::Positive, // CPU should be proactive "The Visionary" => Trinary::Positive, // GPU should be innovative "The Memory Keeper" => Trinary::Neutral, // RAM should be balanced "The Archive" => Trinary::Negative, // NVMe should be stable _ => Trinary::Neutral, }; // Adjust tunneling probability based on narrative significance component.trinary_logic_state.tunneling_probability = role.growth_potential * narrative_influence; } } // Calculate overall trinary coherence based on narrative harmony let trinary_coherence = self.calculate_narrative_trinary_coherence(&optimized, metanarrative).await?; optimized.trinary_coherence = vec![Trinary::from_f32(trinary_coherence); optimized.components.len()]; // Update metanarrative alignment optimized.metanarrative_alignment = self.calculate_narrative_alignment(metanarrative, &optimized).await?; Ok(optimized) } /// Calculate narrative trinary coherence async fn calculate_narrative_trinary_coherence( &self, substrate: &SubstrateState, _metanarrative: &MetanarrativeContext ) -> Result { let mut coherence_sum = 0.0; let mut weight_sum = 0.0; for component in &substrate.components { if let Some(role) = &component.narrative_role { let role_coherence = role.narrative_weight * component.trinary_logic_state.tunneling_probability; coherence_sum += role_coherence; weight_sum += role.narrative_weight; } } Ok(if weight_sum > 0.0 { coherence_sum / weight_sum } else { 0.5 }) } /// Calculate narrative alignment score async fn calculate_narrative_alignment( &self, _metanarrative: &MetanarrativeContext, substrate: &SubstrateState ) -> Result { let mut alignment_sum = 0.0; let mut component_count = 0; for component in &substrate.components { if let Some(role) = &component.narrative_role { let role_alignment = role.growth_potential * substrate.metanarrative_alignment; alignment_sum += role_alignment; component_count += 1; } } Ok(if component_count > 0 { alignment_sum / component_count as f32 } else { 0.0 }) } // Placeholder implementations for other methods async fn initialize_quantum_coherence(&self, _substrate_id: &str, _substrate: &SubstrateState, _metanarrative: &MetanarrativeContext) -> Result<()> { Ok(()) } async fn initialize_thermal_equilibrium(&self, _substrate_id: &str, _substrate: &SubstrateState, _metanarrative: &MetanarrativeContext) -> Result<()> { Ok(()) } async fn initialize_network_harmony(&self, _substrate_id: &str, _substrate: &SubstrateState, _metanarrative: &MetanarrativeContext) -> Result<()> { Ok(()) } async fn create_optimization_narrative(&self, _substrate: &SubstrateState, _metanarrative: &MetanarrativeContext) -> Result { Ok("Optimization narrative".to_string()) } async fn calculate_equilibrium_score(&self, _substrate: &SubstrateState) -> Result { Ok(0.8) } async fn calculate_compression_ratio(&self, _substrate: &SubstrateState) -> Result { Ok(0.7) } async fn calculate_trinary_coherence(&self, _substrate: &SubstrateState) -> Result { Ok(0.9) } async fn calculate_performance_gain(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result { Ok(0.25) } async fn calculate_thermal_improvement(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result { Ok(0.15) } async fn calculate_network_optimization(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result { Ok(0.20) } } #[cfg(test)] mod tests { use super::*; #[tokio::test] async fn test_unified_substrate_initialization() { let optimizer = UnifiedSubstrateOptimizer::new(); let config = HardwareConfig { cpu_cores: 8, cpu_base_freq: 3.5, cpu_boost_freq: 5.0, ram_capacity_gb: 32, ram_frequency_mhz: 3200.0, gpu_vram_gb: 16, gpu_core_clock: 1800.0, nvme_capacity_tb: 2.0, pcie_lanes: 16, story_arc: StoryArc::Optimization, }; let substrate_id = optimizer.initialize_substrate(config).await.unwrap(); assert!(!substrate_id.is_empty()); } #[tokio::test] async fn test_trinary_logic() { let negative = Trinary::Negative; let positive = Trinary::Positive; let neutral = Trinary::Neutral; assert_eq!(negative.to_f32(), -1.0); assert_eq!(positive.to_f32(), 1.0); assert_eq!(neutral.to_f32(), 0.0); assert_eq!(Trinary::from_f32(-0.5), Trinary::Negative); assert_eq!(Trinary::from_f32(0.0), Trinary::Neutral); assert_eq!(Trinary::from_f32(0.5), Trinary::Positive); } }