Research-Stack/5-Applications/teleport-kanban/src/interface.rs

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::<f32>() - 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<String, CharacterRole>,
    pub plot_points: Vec<PlotPoint>,
    pub thematic_elements: Vec<ThematicElement>,
    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<String>,
    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<String, SubstrateState>,
    /// Quantum coherence map with trinary logic
    pub quantum_coherence: DashMap<String, QuantumCoherenceState>,
    /// Thermal equilibrium state
    pub thermal_equilibrium: DashMap<String, ThermalEquilibriumState>,
    /// Network harmony state
    pub network_harmony: DashMap<String, NetworkHarmonyState>,
    /// Trinary logic cache for quantum tunneling
    pub trinary_cache: DashMap<String, TrinaryState>,
    /// Metanarrative context cache
    pub metanarrative_cache: DashMap<String, MetanarrativeContext>,
    /// 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<Utc>,
    pub substrate_id: String,
    pub components: Vec<HardwareComponent>,
    pub signal_interconnectivity: SignalMatrix,
    pub quantum_entanglement: Vec<String>,
    pub compression_ratio: f32,
    pub optimization_level: OptimizationLevel,
    pub bf16_unified_state: Vec<BF16>,
    pub equilibrium_score: f32,
    pub trinary_coherence: Vec<Trinary>,
    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<CharacterRole>,
}

#[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<f32>,
    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<BF16>,
    pub annealing_progress: f32,
    pub trinary_tunneling: Vec<Trinary>,
    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<String>,
    pub superposition_history: Vec<Trinary>,
    pub narrative_significance: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SignalMatrix {
    pub interconnectivity_map: HashMap<String, HashMap<String, f32>>,
    pub signal_propagation: Vec<f32>,
    pub interference_patterns: Vec<String>,
    pub optimization_paths: Vec<Vec<String>>,
    pub quantum_tunneling: HashMap<String, String>,
    pub trinary_interactions: HashMap<String, Trinary>,
    pub narrative_connections: HashMap<String, String>,
}

#[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<String>,
    pub superposition_matrix: Vec<Vec<BF16>>,
    pub quantum_annealing_schedule: Vec<f64>,
    pub trinary_coherence_map: HashMap<String, Trinary>,
    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<String, f32>,
    pub heat_flow_optimization: Vec<String>,
    pub cooling_efficiency_map: HashMap<String, f32>,
    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<String, Trinary>,
    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<Trinary>,
    pub entanglement_links: Vec<String>,
    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<String> {
        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<SubstrateOptimization> {
        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<MetanarrativeContext> {
        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<SubstrateState> {
        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<SubstrateState> {
        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<f32> {
        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<f32> {
        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<String> {
        Ok("Optimization narrative".to_string())
    }

    async fn calculate_equilibrium_score(&self, _substrate: &SubstrateState) -> Result<f32> {
        Ok(0.8)
    }

    async fn calculate_compression_ratio(&self, _substrate: &SubstrateState) -> Result<f32> {
        Ok(0.7)
    }

    async fn calculate_trinary_coherence(&self, _substrate: &SubstrateState) -> Result<f32> {
        Ok(0.9)
    }

    async fn calculate_performance_gain(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result<f32> {
        Ok(0.25)
    }

    async fn calculate_thermal_improvement(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result<f32> {
        Ok(0.15)
    }

    async fn calculate_network_optimization(&self, _original: &SubstrateState, _optimized: &SubstrateState) -> Result<f32> {
        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);
    }
}