TOS Network Transaction Fees

Traditional Gas Fees
├── Pay with TOS tokens
├── Dynamic pricing based on network demand
├── Immediate execution
└── Familiar to all blockchain users

Energy-Based Transactions (Gas-Free)
├── Use energy generated from staked TOS
├── Predictable costs independent of network congestion
├── Sustainable transaction model
└── Innovative approach to blockchain economics

pub struct GasFeeCalculation {
    pub base_fee: u64,           // Base fee per gas unit (adjusted by network)
    pub priority_fee: u64,       // Optional tip for faster processing
    pub gas_limit: u64,          // Maximum gas willing to consume
    pub gas_used: u64,           // Actual gas consumed
}
 
impl GasFeeCalculation {
    pub fn calculate_total_fee(&self) -> u64 {
        let total_fee_per_gas = self.base_fee + self.priority_fee;
        let total_fee = self.gas_used * total_fee_per_gas;
 
        // Refund unused gas
        let refund = (self.gas_limit - self.gas_used) * total_fee_per_gas;
 
        total_fee // Refund is automatically returned
    }
 
    pub fn estimate_cost_range(&self) -> (u64, u64) {
        let min_cost = self.gas_limit * self.base_fee;
        let max_cost = self.gas_limit * (self.base_fee + self.priority_fee);
 
        (min_cost, max_cost)
    }
}

pub struct DynamicFeeAdjustment {
    pub target_block_utilization: f64, // 50% target utilization
    pub adjustment_speed: f64,          // How quickly fees adjust
    pub max_fee_increase: f64,          // Maximum fee increase per block
    pub max_fee_decrease: f64,          // Maximum fee decrease per block
}
 
impl DynamicFeeAdjustment {
    pub fn calculate_next_base_fee(&self, current_base_fee: u64, block_utilization: f64) -> u64 {
        let utilization_delta = block_utilization - self.target_block_utilization;
        let adjustment_factor = utilization_delta * self.adjustment_speed;
 
        // Apply bounds to prevent extreme changes
        let bounded_adjustment = self.apply_bounds(adjustment_factor);
 
        let new_base_fee = current_base_fee as f64 * (1.0 + bounded_adjustment);
        new_base_fee as u64
    }
 
    fn apply_bounds(&self, adjustment: f64) -> f64 {
        if adjustment > 0.0 {
            adjustment.min(self.max_fee_increase)
        } else {
            adjustment.max(-self.max_fee_decrease)
        }
    }
}

// Gas price prediction and optimization
class GasPricePredictor {
    constructor(tosNetwork) {
        this.network = tosNetwork;
        this.historicalData = new HistoricalGasData();
        this.networkMonitor = new NetworkMonitor();
    }
 
    async predictOptimalGasPrice(urgency = 'standard') {
        const currentBaseFee = await this.network.getCurrentBaseFee();
        const networkCongestion = await this.networkMonitor.getCongestionLevel();
        const historicalTrends = await this.historicalData.getRecentTrends();
 
        const basePrediction = this.calculateBasePrediction(
            currentBaseFee,
            networkCongestion,
            historicalTrends
        );
 
        const urgencyMultipliers = {
            'slow': 1.0,        // Next few blocks
            'standard': 1.25,   // Next block
            'fast': 1.5,        // Priority inclusion
            'instant': 2.0      // Immediate inclusion
        };
 
        return {
            baseFee: currentBaseFee,
            recommendedPriorityFee: basePrediction * urgencyMultipliers[urgency],
            totalEstimatedFee: currentBaseFee + (basePrediction * urgencyMultipliers[urgency]),
            confidenceLevel: this.calculateConfidenceLevel(networkCongestion),
            alternativeOptions: {
                energy: await this.calculateEnergyAlternative(),
                delayedExecution: await this.calculateDelayedBenefit()
            }
        };
    }
 
    async calculateEnergyAlternative() {
        const energyCost = await this.network.estimateEnergyConsumption();
        const stakingRequirement = await this.network.calculateStakingNeeded(energyCost);
 
        return {
            energyRequired: energyCost,
            stakingRequired: stakingRequirement,
            timeToGenerate: stakingRequirement.estimatedTime,
            costComparison: await this.compareWithGasCost(energyCost)
        };
    }
}

pub enum TransactionType {
    Transfer {
        gas_base: 21000,
        gas_per_byte: 16,
        privacy_overhead: 15000, // Additional gas for privacy features
    },
    SmartContractCall {
        gas_base: 25000,
        gas_per_operation: OperationGasCosts,
        storage_gas: StorageGasCosts,
    },
    ContractDeployment {
        gas_base: 53000,
        gas_per_byte: 200,
        initialization_gas: InitializationCosts,
    },
    EnergyStaking {
        gas_base: 30000,
        complexity_modifier: ComplexityModifier,
    },
    AIMiningTask {
        gas_base: 40000,
        task_complexity_gas: TaskComplexityGas,
    },
}
 
pub struct OperationGasCosts {
    pub arithmetic: u64,     // 3 gas
    pub comparison: u64,     // 3 gas
    pub memory_access: u64,  // 3 gas
    pub storage_read: u64,   // 800 gas
    pub storage_write: u64,  // 20000 gas
    pub external_call: u64,  // 2300 gas
}
 
impl TransactionType {
    pub fn estimate_gas_consumption(&self, transaction_data: &TransactionData) -> u64 {
        match self {
            TransactionType::Transfer { gas_base, gas_per_byte, privacy_overhead } => {
                let data_size = transaction_data.size();
                let privacy_gas = if transaction_data.is_private() { *privacy_overhead } else { 0 };
 
                gas_base + (data_size * gas_per_byte) + privacy_gas
            },
            TransactionType::SmartContractCall { gas_base, gas_per_operation, .. } => {
                let estimated_operations = transaction_data.estimate_operations();
                gas_base + self.calculate_operation_gas(estimated_operations, gas_per_operation)
            },
            // ... other transaction types
        }
    }
}

pub struct EnergySystem {
    pub staking_pools: Vec<StakingPool>,
    pub energy_generation: EnergyGeneration,
    pub energy_consumption: EnergyConsumption,
    pub conversion_rates: ConversionRates,
}
 
pub struct StakingPool {
    pub stake_amount: u64,        // TOS tokens staked
    pub stake_duration: Duration, // Staking period
    pub energy_rate: f64,         // Energy generation per day
    pub unlock_time: Timestamp,   // When stake can be withdrawn
}
 
impl EnergySystem {
    pub fn calculate_energy_generation(&self, stake: &StakingPool) -> f64 {
        let base_rate = 0.5; // Base energy per TOS per day
        let duration_bonus = self.calculate_duration_bonus(stake.stake_duration);
        let amount_bonus = self.calculate_amount_bonus(stake.stake_amount);
 
        let total_rate = base_rate * (1.0 + duration_bonus + amount_bonus);
        (stake.stake_amount as f64) * total_rate
    }
 
    fn calculate_duration_bonus(&self, duration: Duration) -> f64 {
        // Longer stakes get bonus energy generation
        let days = duration.as_secs() / (24 * 60 * 60);
        match days {
            0..=7 => 0.0,           // No bonus for short stakes
            8..=30 => 0.1,          // 10% bonus for monthly stakes
            31..=90 => 0.25,        // 25% bonus for quarterly stakes
            91..=365 => 0.5,        // 50% bonus for yearly stakes
            _ => 0.75,              // 75% bonus for multi-year stakes
        }
    }
 
    fn calculate_amount_bonus(&self, amount: u64) -> f64 {
        // Larger stakes get slight efficiency bonus
        let tos_amount = amount / 1_000_000_000_000; // Convert from nanoTOS
        match tos_amount {
            0..=1000 => 0.0,        // No bonus for small stakes
            1001..=10000 => 0.05,   // 5% bonus for medium stakes
            10001..=100000 => 0.1,  // 10% bonus for large stakes
            _ => 0.15,              // 15% bonus for whale stakes
        }
    }
}

pub struct EnergyConsumption {
    pub base_costs: BaseCosts,
    pub privacy_costs: PrivacyCosts,
    pub complexity_modifiers: ComplexityModifiers,
}
 
pub struct BaseCosts {
    pub simple_transfer: f64,           // 10 energy units
    pub private_transfer: f64,          // 15 energy units
    pub smart_contract_call: f64,       // 20 energy units
    pub contract_deployment: f64,       // 50 energy units
    pub energy_staking: f64,           // 25 energy units
    pub ai_task_submission: f64,       // 30 energy units
}
 
pub struct PrivacyCosts {
    pub homomorphic_encryption: f64,   // +5 energy units
    pub zero_knowledge_proof: f64,     // +8 energy units
    pub range_proof: f64,              // +3 energy units
    pub confidential_assets: f64,      // +7 energy units
}
 
impl EnergyConsumption {
    pub fn calculate_transaction_energy_cost(
        &self,
        tx_type: &TransactionType,
        privacy_features: &[PrivacyFeature],
        complexity: ComplexityLevel
    ) -> f64 {
        let base_cost = self.get_base_cost(tx_type);
        let privacy_cost = self.calculate_privacy_cost(privacy_features);
        let complexity_modifier = self.get_complexity_modifier(complexity);
 
        (base_cost + privacy_cost) * complexity_modifier
    }
 
    fn get_base_cost(&self, tx_type: &TransactionType) -> f64 {
        match tx_type {
            TransactionType::Transfer { .. } => self.base_costs.simple_transfer,
            TransactionType::SmartContractCall { .. } => self.base_costs.smart_contract_call,
            TransactionType::ContractDeployment { .. } => self.base_costs.contract_deployment,
            TransactionType::EnergyStaking { .. } => self.base_costs.energy_staking,
            TransactionType::AIMiningTask { .. } => self.base_costs.ai_task_submission,
        }
    }
}

// Real-time cost comparison system
class CostComparisonCalculator {
    constructor(tosNetwork) {
        this.network = tosNetwork;
    }
 
    async compareTransactionCosts(transactionData) {
        const gasEstimate = await this.estimateGasCosts(transactionData);
        const energyEstimate = await this.estimateEnergyCosts(transactionData);
 
        return {
            gas_option: {
                total_cost_tos: gasEstimate.totalFee,
                usd_equivalent: await this.convertToUSD(gasEstimate.totalFee),
                execution_time: gasEstimate.estimatedTime,
                certainty: gasEstimate.priceStability,
                pros: [
                    'Immediate execution',
                    'No staking required',
                    'Works during network congestion'
                ],
                cons: [
                    'Variable costs',
                    'Higher during network congestion',
                    'Ongoing expense'
                ]
            },
            energy_option: {
                energy_cost: energyEstimate.energyRequired,
                staking_requirement: energyEstimate.stakingNeeded,
                time_to_generate: energyEstimate.generationTime,
                long_term_savings: energyEstimate.savings,
                pros: [
                    'Predictable costs',
                    'No congestion impact',
                    'Long-term cost savings',
                    'Sustainable model'
                ],
                cons: [
                    'Requires initial staking',
                    'Energy generation takes time',
                    'Capital lockup period'
                ]
            },
            recommendation: this.generateRecommendation(gasEstimate, energyEstimate)
        };
    }
 
    generateRecommendation(gasEstimate, energyEstimate) {
        const factors = {
            networkCongestion: this.network.getCurrentCongestion(),
            userStakingStatus: this.network.getUserStakingStatus(),
            transactionUrgency: this.assessTransactionUrgency(),
            longTermUsage: this.assessLongTermUsage()
        };
 
        if (factors.transactionUrgency === 'high' && factors.userStakingStatus.availableEnergy < energyEstimate.energyRequired) {
            return {
                choice: 'gas',
                reason: 'Urgent transaction with insufficient energy balance'
            };
        }
 
        if (factors.longTermUsage === 'frequent' && !factors.userStakingStatus.hasStake) {
            return {
                choice: 'start_staking',
                reason: 'Frequent usage would benefit from energy model'
            };
        }
 
        if (factors.networkCongestion === 'high') {
            return {
                choice: 'energy',
                reason: 'Network congestion makes energy more cost-effective'
            };
        }
 
        return {
            choice: 'hybrid',
            reason: 'Use energy when available, gas for urgent transactions'
        };
    }
}

pub struct FeeOptimizationEngine {
    pub user_preferences: UserPreferences,
    pub cost_history: CostHistory,
    pub prediction_model: CostPredictionModel,
    pub optimization_strategies: Vec<OptimizationStrategy>,
}
 
pub struct UserPreferences {
    pub cost_priority: CostPriority,     // Minimize cost vs. maximize speed
    pub staking_willingness: bool,       // Willing to stake for energy
    pub transaction_patterns: TransactionPatterns,
    pub risk_tolerance: RiskTolerance,
}
 
pub enum OptimizationStrategy {
    MinimizeCost,           // Always choose cheapest option
    MaximizeSpeed,          // Always choose fastest option
    BalancedApproach,       // Balance cost and speed
    LongTermOptimal,        // Optimize for long-term usage
    NetworkAware,           // Adapt to network conditions
}
 
impl FeeOptimizationEngine {
    pub fn recommend_payment_method(
        &self,
        transaction: &Transaction,
        current_conditions: &NetworkConditions
    ) -> PaymentRecommendation {
        let strategies = self.evaluate_all_strategies(transaction, current_conditions);
        let best_strategy = self.select_best_strategy(strategies);
 
        PaymentRecommendation {
            payment_method: best_strategy.payment_method,
            estimated_cost: best_strategy.cost,
            estimated_time: best_strategy.execution_time,
            confidence: best_strategy.confidence,
            alternatives: strategies,
            reasoning: best_strategy.explanation,
        }
    }
 
    fn evaluate_all_strategies(
        &self,
        transaction: &Transaction,
        conditions: &NetworkConditions
    ) -> Vec<StrategyEvaluation> {
        self.optimization_strategies.iter().map(|strategy| {
            self.evaluate_strategy(strategy, transaction, conditions)
        }).collect()
    }
 
    fn evaluate_strategy(
        &self,
        strategy: &OptimizationStrategy,
        transaction: &Transaction,
        conditions: &NetworkConditions
    ) -> StrategyEvaluation {
        match strategy {
            OptimizationStrategy::MinimizeCost => {
                self.evaluate_minimum_cost_strategy(transaction, conditions)
            },
            OptimizationStrategy::MaximizeSpeed => {
                self.evaluate_maximum_speed_strategy(transaction, conditions)
            },
            OptimizationStrategy::LongTermOptimal => {
                self.evaluate_long_term_strategy(transaction, conditions)
            },
            // ... other strategies
        }
    }
}

// Optimize multiple transactions together
class BatchTransactionOptimizer {
    constructor() {
        this.batchingEngine = new TransactionBatchingEngine();
        this.costOptimizer = new CostOptimizationEngine();
    }
 
    async optimizeBatch(transactions) {
        // Analyze transaction compatibility for batching
        const batchGroups = await this.batchingEngine.groupCompatibleTransactions(transactions);
 
        const optimizedBatches = [];
        for (const group of batchGroups) {
            const optimization = await this.optimizeBatchGroup(group);
            optimizedBatches.push(optimization);
        }
 
        return {
            original_cost: await this.calculateOriginalCost(transactions),
            optimized_cost: await this.calculateOptimizedCost(optimizedBatches),
            savings: this.calculateSavings(transactions, optimizedBatches),
            execution_plan: optimizedBatches
        };
    }
 
    async optimizeBatchGroup(transactionGroup) {
        const gasApproach = await this.calculateBatchGasCost(transactionGroup);
        const energyApproach = await this.calculateBatchEnergyCost(transactionGroup);
        const hybridApproach = await this.calculateHybridApproach(transactionGroup);
 
        const approaches = [gasApproach, energyApproach, hybridApproach];
        const bestApproach = approaches.reduce((best, current) =>
            current.totalCost < best.totalCost ? current : best
        );
 
        return {
            transactions: transactionGroup,
            recommended_approach: bestApproach,
            alternatives: approaches.filter(a => a !== bestApproach),
            optimization_savings: this.calculateBatchSavings(transactionGroup, bestApproach)
        };
    }
 
    async calculateHybridApproach(transactionGroup) {
        // Use energy where available, gas for remainder
        const userEnergyBalance = await this.getUserEnergyBalance();
        let remainingEnergy = userEnergyBalance;
 
        const optimizedTransactions = transactionGroup.map(tx => {
            const energyNeeded = this.estimateEnergyNeeded(tx);
 
            if (remainingEnergy >= energyNeeded) {
                remainingEnergy -= energyNeeded;
                return { transaction: tx, payment: 'energy', cost: 0 };
            } else {
                const gasCost = this.estimateGasCost(tx);
                return { transaction: tx, payment: 'gas', cost: gasCost };
            }
        });
 
        return {
            type: 'hybrid',
            transactions: optimizedTransactions,
            totalCost: optimizedTransactions.reduce((sum, tx) => sum + tx.cost, 0),
            energyUsed: userEnergyBalance - remainingEnergy,
            gasUsed: optimizedTransactions.filter(tx => tx.payment === 'gas').length
        };
    }
}

pub struct PriorityFeeMarket {
    pub fee_tiers: Vec<FeeTier>,
    pub dynamic_pricing: DynamicPricing,
    pub miner_preferences: MinerPreferences,
}
 
pub struct FeeTier {
    pub tier_name: String,
    pub priority_multiplier: f64,
    pub estimated_inclusion_time: Duration,
    pub success_rate: f64,
}
 
impl PriorityFeeMarket {
    pub fn get_priority_options(&self, base_fee: u64) -> Vec<PriorityOption> {
        self.fee_tiers.iter().map(|tier| {
            PriorityOption {
                tier_name: tier.tier_name.clone(),
                total_fee: base_fee + (base_fee as f64 * tier.priority_multiplier) as u64,
                estimated_time: tier.estimated_inclusion_time,
                success_probability: tier.success_rate,
                recommendation: self.generate_recommendation(tier),
            }
        }).collect()
    }
 
    fn generate_recommendation(&self, tier: &FeeTier) -> String {
        match tier.tier_name.as_str() {
            "Economy" => "Best for non-urgent transactions".to_string(),
            "Standard" => "Balanced option for most use cases".to_string(),
            "Fast" => "Recommended for time-sensitive transactions".to_string(),
            "Instant" => "Guaranteed next-block inclusion".to_string(),
            _ => "Custom tier".to_string(),
        }
    }
}

// Subscription-based fee models for enterprise users
class FeeSubscriptionManager {
    constructor() {
        this.subscriptionPlans = this.initializeSubscriptionPlans();
        this.usageTracking = new UsageTrackingSystem();
    }
 
    initializeSubscriptionPlans() {
        return {
            basic: {
                monthly_fee: '100', // TOS
                included_transactions: 1000,
                energy_generation_bonus: 1.1, // 10% bonus
                priority_access: false,
                overage_rate: '0.001' // TOS per transaction
            },
            professional: {
                monthly_fee: '500', // TOS
                included_transactions: 10000,
                energy_generation_bonus: 1.25, // 25% bonus
                priority_access: true,
                overage_rate: '0.0005' // TOS per transaction
            },
            enterprise: {
                monthly_fee: '2000', // TOS
                included_transactions: 100000,
                energy_generation_bonus: 1.5, // 50% bonus
                priority_access: true,
                custom_fee_structure: true,
                dedicated_support: true,
                overage_rate: '0.0001' // TOS per transaction
            }
        };
    }
 
    async calculateMonthlyBenefit(userAddress, planType) {
        const currentUsage = await this.usageTracking.getMonthlyUsage(userAddress);
        const currentCosts = await this.calculateCurrentMonthlyCosts(currentUsage);
        const planCosts = await this.calculatePlanCosts(planType, currentUsage);
 
        return {
            current_monthly_cost: currentCosts,
            plan_monthly_cost: planCosts,
            monthly_savings: currentCosts - planCosts,
            annual_savings: (currentCosts - planCosts) * 12,
            break_even_transactions: this.calculateBreakEvenPoint(planType),
            recommendation: this.generatePlanRecommendation(currentUsage, planType)
        };
    }
}

pub struct CrossChainFeeManager {
    pub supported_chains: Vec<SupportedChain>,
    pub bridge_fees: BridgeFeeStructure,
    pub conversion_rates: ConversionRates,
}
 
pub struct BridgeFeeStructure {
    pub base_bridge_fee: u64,
    pub destination_chain_fees: HashMap<ChainId, u64>,
    pub asset_specific_fees: HashMap<AssetId, u64>,
    pub speed_tiers: Vec<BridgeSpeedTier>,
}
 
impl CrossChainFeeManager {
    pub fn calculate_cross_chain_transaction_cost(
        &self,
        source_chain: ChainId,
        destination_chain: ChainId,
        asset: AssetId,
        amount: u64,
        speed_tier: BridgeSpeedTier
    ) -> CrossChainCost {
        let base_cost = self.bridge_fees.base_bridge_fee;
        let destination_fee = self.bridge_fees.destination_chain_fees
            .get(&destination_chain)
            .unwrap_or(&0);
        let asset_fee = self.bridge_fees.asset_specific_fees
            .get(&asset)
            .unwrap_or(&0);
        let speed_fee = speed_tier.additional_fee;
 
        CrossChainCost {
            bridge_fee: base_cost + destination_fee + asset_fee + speed_fee,
            source_chain_fee: self.estimate_source_chain_fee(source_chain),
            destination_chain_fee: self.estimate_destination_chain_fee(destination_chain),
            total_cost: base_cost + destination_fee + asset_fee + speed_fee,
            estimated_time: speed_tier.estimated_time,
            energy_alternative: self.calculate_energy_alternative(
                base_cost + destination_fee + asset_fee + speed_fee
            ),
        }
    }
}

class FeeAnalyticsEngine {
    constructor() {
        this.dataCollector = new FeeDataCollector();
        this.analyzer = new StatisticalAnalyzer();
        this.reporter = new ReportGenerator();
    }
 
    async generateFeeReport(timeframe = '24h') {
        const data = await this.dataCollector.getFeeData(timeframe);
 
        return {
            summary: {
                total_transactions: data.transactions.length,
                average_gas_fee: this.analyzer.calculateAverage(data.gasFees),
                median_gas_fee: this.analyzer.calculateMedian(data.gasFees),
                energy_transactions_percentage: this.calculateEnergyPercentage(data),
                cost_savings_from_energy: this.calculateEnergySavings(data)
            },
            trends: {
                fee_trend: this.analyzer.calculateTrend(data.gasFees),
                network_congestion_correlation: this.analyzer.correlateWithCongestion(data),
                time_of_day_patterns: this.analyzer.findTimePatterns(data),
                user_behavior_insights: this.analyzer.analyzeUserBehavior(data)
            },
            recommendations: {
                optimal_transaction_times: this.findOptimalTimes(data),
                staking_recommendations: this.generateStakingAdvice(data),
                cost_optimization_tips: this.generateOptimizationTips(data)
            },
            predictions: {
                next_hour_fees: await this.predictNearTermFees(data),
                next_day_fees: await this.predictDailyFees(data),
                long_term_trends: await this.predictLongTermTrends(data)
            }
        };
    }
 
    calculateEnergySavings(data) {
        const energyTransactions = data.transactions.filter(tx => tx.payment_method === 'energy');
        const hypotheticalGasCosts = energyTransactions.map(tx =>
            this.estimateHypotheticalGasCost(tx)
        );
 
        const totalSavings = hypotheticalGasCosts.reduce((sum, cost) => sum + cost, 0);
 
        return {
            total_savings_tos: totalSavings,
            average_savings_per_transaction: totalSavings / energyTransactions.length,
            percentage_cost_reduction: (totalSavings / this.calculateTotalHypotheticalCosts(data)) * 100
        };
    }
}

class PersonalFeeManager {
    constructor(userAddress) {
        this.userAddress = userAddress;
        this.transactionHistory = new TransactionHistoryManager(userAddress);
        this.preferences = new UserPreferencesManager(userAddress);
        this.optimizer = new PersonalOptimizer(userAddress);
    }
 
    async getPersonalFeeInsights() {
        const history = await this.transactionHistory.getHistory('30d');
        const preferences = await this.preferences.getPreferences();
 
        return {
            spending_analysis: {
                total_fees_paid: this.calculateTotalFees(history),
                average_fee_per_transaction: this.calculateAverageFee(history),
                energy_vs_gas_usage: this.analyzePaymentMethods(history),
                potential_savings: await this.calculatePotentialSavings(history)
            },
            optimization_opportunities: {
                staking_recommendations: await this.generateStakingRecommendations(history),
                timing_optimizations: this.findOptimalTimingPatterns(history),
                batching_opportunities: this.identifyBatchingOpportunities(history),
                subscription_benefits: await this.evaluateSubscriptionBenefits(history)
            },
            personalized_settings: {
                recommended_fee_strategy: this.recommendFeeStrategy(history, preferences),
                automated_optimization: this.suggestAutomationRules(history),
                alert_settings: this.suggestAlertSettings(history)
            },
            future_projections: {
                monthly_fee_estimate: this.projectMonthlyFees(history),
                annual_cost_projection: this.projectAnnualCosts(history),
                roi_for_staking: await this.calculateStakingROI(history)
            }
        };
    }
 
    async generateStakingRecommendations(history) {
        const monthlyTransactions = this.getMonthlyTransactionCount(history);
        const averageEnergyNeeded = this.calculateAverageEnergyConsumption(history);
        const currentStaking = await this.getCurrentStakingStatus();
 
        const recommendations = [];
 
        if (monthlyTransactions > 100 && !currentStaking.hasStake) {
            recommendations.push({
                type: 'start_staking',
                stake_amount: this.calculateOptimalStakeAmount(averageEnergyNeeded),
                expected_savings: this.calculateExpectedSavings(averageEnergyNeeded),
                payback_period: this.calculatePaybackPeriod(averageEnergyNeeded)
            });
        }
 
        if (currentStaking.hasStake && currentStaking.utilization < 0.6) {
            recommendations.push({
                type: 'reduce_stake',
                current_stake: currentStaking.amount,
                recommended_stake: this.calculateOptimalStakeReduction(currentStaking, history),
                freed_capital: currentStaking.amount - this.calculateOptimalStakeReduction(currentStaking, history)
            });
        }
 
        return recommendations;
    }
}

// Comprehensive fee management for developers
class TOSFeeManager {
    constructor(tosNetwork) {
        this.network = tosNetwork;
        this.optimizer = new FeeOptimizer();
        this.predictor = new FeePredictor();
    }
 
    async createOptimizedTransaction(transactionData, userPreferences = {}) {
        // Get current network conditions
        const networkStatus = await this.network.getNetworkStatus();
 
        // Analyze user's payment options
        const paymentOptions = await this.analyzePaymentOptions(transactionData);
 
        // Apply user preferences and optimization
        const optimizedOptions = this.optimizer.optimize(paymentOptions, userPreferences);
 
        // Return transaction with optimal fee structure
        return {
            transaction: transactionData,
            recommended_payment: optimizedOptions.best,
            alternatives: optimizedOptions.alternatives,
            cost_analysis: optimizedOptions.analysis,
            execution_strategy: optimizedOptions.strategy
        };
    }
 
    async analyzePaymentOptions(transactionData) {
        const gasOption = await this.analyzeGasPayment(transactionData);
        const energyOption = await this.analyzeEnergyPayment(transactionData);
 
        return {
            gas: gasOption,
            energy: energyOption,
            hybrid: await this.analyzeHybridPayment(transactionData, gasOption, energyOption)
        };
    }
 
    async monitorTransactionCosts(callback) {
        // Real-time monitoring of transaction costs
        this.network.on('networkStatusUpdate', async (status) => {
            const costUpdate = {
                timestamp: Date.now(),
                gas_prices: {
                    slow: status.gas_prices.slow,
                    standard: status.gas_prices.standard,
                    fast: status.gas_prices.fast
                },
                energy_efficiency: status.energy_efficiency,
                network_congestion: status.congestion_level,
                recommendations: await this.generateCurrentRecommendations(status)
            };
 
            callback(costUpdate);
        });
    }
}
 
// Usage example for developers
const feeManager = new TOSFeeManager(tosNetwork);
 
// Create optimized transaction
const optimizedTx = await feeManager.createOptimizedTransaction({
    to: 'tos1recipient...',
    amount: '1000000000000', // 1000 TOS
    data: contractCallData
}, {
    priority: 'cost_optimization', // or 'speed_optimization'
    max_acceptable_fee: '10000000000', // 10 TOS maximum
    prefer_energy: true
});
 
// Monitor costs in real-time
feeManager.monitorTransactionCosts((update) => {
    console.log('Cost update:', update);
    // Update UI with current cost recommendations
});

pub struct FeeGovernance {
    pub governance_contract: Address,
    pub proposal_system: ProposalSystem,
    pub voting_mechanism: VotingMechanism,
    pub implementation_system: ImplementationSystem,
}
 
pub struct FeeProposal {
    pub proposal_id: u64,
    pub proposer: Address,
    pub proposal_type: ProposalType,
    pub proposed_changes: FeeChanges,
    pub rationale: String,
    pub voting_period: Duration,
    pub implementation_delay: Duration,
}
 
pub enum ProposalType {
    BaseFeeAdjustment {
        current_base_fee: u64,
        proposed_base_fee: u64,
        adjustment_reason: String,
    },
    EnergyConversionRate {
        current_rate: f64,
        proposed_rate: f64,
        economic_justification: String,
    },
    NewFeeCategory {
        category_name: String,
        fee_structure: FeeStructure,
        use_cases: Vec<String>,
    },
}
 
impl FeeGovernance {
    pub fn submit_fee_proposal(&self, proposal: FeeProposal) -> Result<ProposalId, GovernanceError> {
        // Validate proposal meets minimum requirements
        self.validate_proposal(&proposal)?;
 
        // Submit to governance contract
        let proposal_id = self.governance_contract.submit_proposal(proposal)?;
 
        // Notify community of new proposal
        self.notify_community(proposal_id)?;
 
        Ok(proposal_id)
    }
 
    pub fn implement_approved_proposal(&self, proposal_id: ProposalId) -> Result<(), ImplementationError> {
        let proposal = self.get_proposal(proposal_id)?;
 
        // Verify proposal was approved and delay period has passed
        if !self.is_approved_and_ready(proposal_id)? {
            return Err(ImplementationError::NotReadyForImplementation);
        }
 
        // Implement fee changes
        match proposal.proposal_type {
            ProposalType::BaseFeeAdjustment { proposed_base_fee, .. } => {
                self.update_base_fee(proposed_base_fee)?;
            },
            ProposalType::EnergyConversionRate { proposed_rate, .. } => {
                self.update_energy_conversion_rate(proposed_rate)?;
            },
            ProposalType::NewFeeCategory { fee_structure, .. } => {
                self.add_fee_category(fee_structure)?;
            },
        }
 
        Ok(())
    }
}