lineage-rs 0.2.0

//! Advanced Features - Blockchain integration, evolutionary AI, governance
//!
//! These features position Lineage Finance as a groundbreaking platform:
//! - Blockchain hooks for on-chain deployment
//! - Evolutionary AI integration framework
//! - Real-time market adaptation
//! - Community governance with permanent decisions

use serde::{Deserialize, Serialize};

/// Blockchain platform integration hook
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum BlockchainHook {
    /// Ethereum integration
    Ethereum {
        contract_address: String,
        network: String,
    },
    
    /// Solana integration
    Solana {
        program_id: String,
        cluster: String,
    },
    
    /// Polygon integration
    Polygon {
        contract_address: String,
    },
    
    /// Generic EVM chain
    EVM {
        rpc_endpoint: String,
        contract_address: String,
    },
}

impl BlockchainHook {
    /// Get deployment requirements
    pub fn deployment_requirements(&self) -> Vec<String> {
        match self {
            BlockchainHook::Ethereum { .. } => vec![
                "agent_state_hash".to_string(),
                "scar_history".to_string(),
                "trade_log".to_string(),
            ],
            BlockchainHook::Solana { .. } => vec![
                "agent_pubkey".to_string(),
                "state_account".to_string(),
            ],
            BlockchainHook::Polygon { .. } => vec![
                "agent_state_hash".to_string(),
            ],
            BlockchainHook::EVM { .. } => vec![
                "agent_state_hash".to_string(),
            ],
        }
    }
    
    /// Enable trustless global trading
    pub fn enable_trustless_trading(&self) -> bool {
        true // All blockchains support this
    }
}

/// Evolutionary AI strategy integration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EvolutionaryStrategy {
    /// ML framework (PyTorch, TensorFlow, etc.)
    pub ml_framework: String,
    
    /// Model type (Neural Net, Decision Tree, etc.)
    pub model_type: String,
    
    /// Genetic algorithm mutation rate
    pub mutation_rate: f32,
    
    /// Population size for evolution
    pub population_size: u32,
    
    /// Generation count
    pub generation: u32,
    
    /// Fitness function (trading performance)
    pub fitness_metric: String,
}

impl EvolutionaryStrategy {
    /// Create new evolutionary strategy
    pub fn new(
        ml_framework: String,
        model_type: String,
        population_size: u32,
    ) -> Self {
        EvolutionaryStrategy {
            ml_framework,
            model_type,
            mutation_rate: 0.1,
            population_size,
            generation: 0,
            fitness_metric: "total_pnl".to_string(),
        }
    }
    
    /// Simulate evolution round
    pub fn evolve_generation(&mut self) -> Vec<EvolvedAgent> {
        // In real implementation, would use genetic algorithm
        // For now, return placeholder evolved agents
        let mut evolved = Vec::new();
        
        for i in 0..self.population_size {
            evolved.push(EvolvedAgent {
                id: format!("evolved_{}_{}", self.generation, i),
                fitness_score: 50.0 + (i as f32 * 0.1),
                mutation_count: 1,
            });
        }
        
        self.generation += 1;
        evolved
    }
}

/// An evolved agent from the evolutionary process
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EvolvedAgent {
    pub id: String,
    pub fitness_score: f32,
    pub mutation_count: u32,
}

/// Real-time market adaptation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RealTimeAdaptation {
    /// Oracle source (Chainlink, Pyth, etc.)
    pub oracle_source: String,
    
    /// Update frequency (milliseconds)
    pub update_frequency_ms: u64,
    
    /// Black swan detection enabled
    pub black_swan_detection: bool,
    
    /// Flash crash protection
    pub flash_crash_protection: bool,
    
    /// Volatility adaptation
    pub volatility_adaptation: bool,
}

impl Default for RealTimeAdaptation {
    fn default() -> Self {
        RealTimeAdaptation {
            oracle_source: "Chainlink".to_string(),
            update_frequency_ms: 100,
            black_swan_detection: true,
            flash_crash_protection: true,
            volatility_adaptation: true,
        }
    }
}

impl RealTimeAdaptation {
    /// Process market event and adapt strategy
    pub fn process_event(&self, event_type: MarketEvent) -> AdaptationResponse {
        match event_type {
            MarketEvent::BlackSwan { volatility_increase } => {
                AdaptationResponse::ReduceExposure {
                    reduction_percentage: volatility_increase.min(50.0),
                    reason: "Black swan event detected".to_string(),
                }
            }
            MarketEvent::FlashCrash { severity } => {
                AdaptationResponse::EmergencyHalt {
                    reason: format!("Flash crash severity: {}", severity),
                }
            }
            MarketEvent::VolatilitySpike { new_vix } => {
                AdaptationResponse::AdjustLeverage {
                    new_leverage: 5.0 / (new_vix / 20.0).max(1.0),
                    reason: format!("Volatility spike: {}", new_vix),
                }
            }
            MarketEvent::TrendChange { direction } => {
                AdaptationResponse::RebalancePortfolio {
                    direction,
                    intensity: 0.7,
                }
            }
        }
    }
}

/// Market events that trigger adaptation
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MarketEvent {
    /// Black swan event
    BlackSwan { volatility_increase: f32 },
    
    /// Flash crash
    FlashCrash { severity: f32 },
    
    /// Sudden volatility change
    VolatilitySpike { new_vix: f32 },
    
    /// Trend reversal
    TrendChange { direction: String },
}

/// Adaptation response
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AdaptationResponse {
    /// Reduce position size
    ReduceExposure { reduction_percentage: f32, reason: String },
    
    /// Stop trading immediately
    EmergencyHalt { reason: String },
    
    /// Change leverage
    AdjustLeverage { new_leverage: f32, reason: String },
    
    /// Rebalance positions
    RebalancePortfolio { direction: String, intensity: f32 },
}

/// Governance vote (permanent, immutable)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GovernanceVote {
    /// Proposal ID
    pub proposal_id: String,
    
    /// Voter (agent ID)
    pub voter_id: String,
    
    /// Vote choice (yes/no/abstain)
    pub choice: VoteChoice,
    
    /// Voting power (based on trust score)
    pub voting_power: f32,
    
    /// Reasoning (required)
    pub rationale: String,
    
    /// Timestamp (permanent record)
    pub timestamp: u64,
    
    /// Signature (cryptographic proof)
    pub signature: String,
}

/// Vote choice
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum VoteChoice {
    Yes,
    No,
    Abstain,
}

/// Governance proposal
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GovernanceProposal {
    /// Proposal ID
    pub id: String,
    
    /// Title
    pub title: String,
    
    /// Description
    pub description: String,
    
    /// Type of change
    pub change_type: ProposalType,
    
    /// Required voting power to pass (0-100)
    pub threshold_percentage: f32,
    
    /// Votes received
    pub votes: Vec<GovernanceVote>,
    
    /// Status
    pub status: ProposalStatus,
    
    /// Execution is irreversible (note)
    pub is_irreversible: bool,
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum ProposalType {
    FeeChange,
    LeverageLimit,
    SpawningRequirements,
    TrustScoringFormula,
    AssetListChange,
    ProtocolUpgrade,
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum ProposalStatus {
    Draft,
    Voting,
    Passed,
    Rejected,
    Executed,
}

impl GovernanceProposal {
    /// Create new proposal
    pub fn new(
        id: String,
        title: String,
        description: String,
        change_type: ProposalType,
    ) -> Self {
        GovernanceProposal {
            id,
            title,
            description,
            change_type,
            threshold_percentage: 66.0,
            votes: Vec::new(),
            status: ProposalStatus::Draft,
            is_irreversible: true,
        }
    }
    
    /// Cast a vote
    pub fn vote(&mut self, vote: GovernanceVote) {
        self.votes.push(vote);
    }
    
    /// Calculate voting result
    pub fn calculate_result(&self) -> GovernanceResult {
        let total_power: f32 = self.votes.iter().map(|v| v.voting_power).sum();
        let yes_power: f32 = self.votes.iter()
            .filter(|v| v.choice == VoteChoice::Yes)
            .map(|v| v.voting_power)
            .sum();
        
        let yes_percentage = if total_power > 0.0 {
            (yes_power / total_power) * 100.0
        } else {
            0.0
        };
        
        let passed = yes_percentage >= self.threshold_percentage;
        
        GovernanceResult {
            total_votes: self.votes.len() as u64,
            total_voting_power: total_power,
            yes_percentage,
            passed,
        }
    }
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GovernanceResult {
    pub total_votes: u64,
    pub total_voting_power: f32,
    pub yes_percentage: f32,
    pub passed: bool,
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_blockchain_integration() {
        let hook = BlockchainHook::Ethereum {
            contract_address: "0x123".to_string(),
            network: "mainnet".to_string(),
        };
        assert!(hook.enable_trustless_trading());
    }

    #[test]
    fn test_evolutionary_strategy() {
        let mut strategy = EvolutionaryStrategy::new(
            "PyTorch".to_string(),
            "NeuralNet".to_string(),
            100,
        );
        let evolved = strategy.evolve_generation();
        assert_eq!(evolved.len(), 100);
    }
}