dex/cmd/memory-full-features/main.go

package main

import (
	"fmt"
	"runtime"
	"runtime/debug"
)

// Complete feature set memory structures

// User account with all features
type UserAccount struct {
	UserID           uint64                    // 8 bytes
	Username         string                    // ~32 bytes avg
	Email            string                    // ~32 bytes avg
	KYCData          [256]byte                 // 256 bytes
	Positions        map[string]*Position      // Variable
	Orders           map[uint64]*Order         // Variable
	TradeHistory     []Trade                   // Variable
	Balances         map[string]float64        // Variable per asset
	MarginAccount    *MarginAccount            // Pointer
	VaultPositions   map[uint64]*VaultPosition // Variable
	StakingPositions map[string]*StakePosition // Variable
	APIKeys          []APIKey                  // Variable
	Sessions         []Session                 // Variable
	Notifications    []Notification            // Variable
	Settings         UserSettings              // ~1KB
}

// Position tracking
type Position struct {
	Symbol           string  // 16 bytes
	Side             uint8   // 1 byte
	Size             float64 // 8 bytes
	EntryPrice       float64 // 8 bytes
	MarkPrice        float64 // 8 bytes
	UnrealizedPNL    float64 // 8 bytes
	RealizedPNL      float64 // 8 bytes
	Margin           float64 // 8 bytes
	Leverage         uint8   // 1 byte
	LiquidationPrice float64 // 8 bytes
	UpdateTime       int64   // 8 bytes
} // ~82 bytes

// Margin account
type MarginAccount struct {
	AccountValue      float64            // 8 bytes
	BuyingPower       float64            // 8 bytes
	MaintenanceMargin float64            // 8 bytes
	InitialMargin     float64            // 8 bytes
	MarginRatio       float64            // 8 bytes
	CrossMargin       bool               // 1 byte
	IsolatedPositions map[string]float64 // Variable
	CollateralAssets  map[string]float64 // Variable
	BorrowedAssets    map[string]float64 // Variable
	InterestRates     map[string]float64 // Variable
	MarginCalls       []MarginCall       // Variable
} // ~200+ bytes with maps

// Vault position
type VaultPosition struct {
	VaultID        uint64  // 8 bytes
	DepositAmount  float64 // 8 bytes
	SharesOwned    float64 // 8 bytes
	CurrentValue   float64 // 8 bytes
	PendingRewards float64 // 8 bytes
	LockupPeriod   int64   // 8 bytes
	APY            float64 // 8 bytes
	Strategy       string  // 32 bytes
} // ~88 bytes

// Staking position
type StakePosition struct {
	StakeID        uint64  // 8 bytes
	Amount         float64 // 8 bytes
	RewardRate     float64 // 8 bytes
	AccruedRewards float64 // 8 bytes
	StartTime      int64   // 8 bytes
	UnlockTime     int64   // 8 bytes
	Validator      string  // 32 bytes
} // ~80 bytes

// Settlement tracking
type Settlement struct {
	SettlementID   uint64         // 8 bytes
	TradeID        uint64         // 8 bytes
	UserID         uint64         // 8 bytes
	CounterpartyID uint64         // 8 bytes
	Amount         float64        // 8 bytes
	Asset          string         // 16 bytes
	Status         uint8          // 1 byte
	SettlementTime int64          // 8 bytes
	BlockNumber    uint64         // 8 bytes
	TxHash         [32]byte       // 32 bytes
	Netting        []NettingEntry // Variable
} // ~105+ bytes

type NettingEntry struct {
	TradeID uint64  // 8 bytes
	Amount  float64 // 8 bytes
	Fee     float64 // 8 bytes
} // 24 bytes

// Order with all features
type Order struct {
	OrderID         uint64  // 8 bytes
	UserID          uint64  // 8 bytes
	Symbol          string  // 16 bytes
	Side            uint8   // 1 byte
	Type            uint8   // 1 byte
	Price           float64 // 8 bytes
	Size            float64 // 8 bytes
	FilledSize      float64 // 8 bytes
	RemainingSize   float64 // 8 bytes
	Status          uint8   // 1 byte
	TimeInForce     uint8   // 1 byte
	PostOnly        bool    // 1 byte
	ReduceOnly      bool    // 1 byte
	CloseOnTrigger  bool    // 1 byte
	TriggerPrice    float64 // 8 bytes
	TrailingPercent float64 // 8 bytes
	TakeProfitPrice float64 // 8 bytes
	StopLossPrice   float64 // 8 bytes
	Commission      float64 // 8 bytes
	CreateTime      int64   // 8 bytes
	UpdateTime      int64   // 8 bytes
} // ~113 bytes

// Trade record
type Trade struct {
	TradeID       uint64  // 8 bytes
	OrderID       uint64  // 8 bytes
	Symbol        string  // 16 bytes
	Side          uint8   // 1 byte
	Price         float64 // 8 bytes
	Size          float64 // 8 bytes
	Fee           float64 // 8 bytes
	FeeCurrency   string  // 8 bytes
	IsMaker       bool    // 1 byte
	ExecutionTime int64   // 8 bytes
} // ~74 bytes

// Risk management
type RiskProfile struct {
	UserID              uint64             // 8 bytes
	RiskScore           float64            // 8 bytes
	MaxLeverage         uint8              // 1 byte
	MaxPositionSize     float64            // 8 bytes
	DailyLossLimit      float64            // 8 bytes
	MaxOpenPositions    int                // 8 bytes
	RequiredMarginRatio float64            // 8 bytes
	MaintenanceMargin   float64            // 8 bytes
	LiquidationHistory  []LiquidationEvent // Variable
	RiskFlags           uint32             // 4 bytes
} // ~61+ bytes

type LiquidationEvent struct {
	Timestamp    int64   // 8 bytes
	PositionSize float64 // 8 bytes
	LossAmount   float64 // 8 bytes
	Symbol       string  // 16 bytes
} // 40 bytes

// Market data cache
type MarketDataCache struct {
	Symbol       string       // 16 bytes
	BidPrices    [100]float64 // 800 bytes (L2 depth)
	BidSizes     [100]float64 // 800 bytes
	AskPrices    [100]float64 // 800 bytes
	AskSizes     [100]float64 // 800 bytes
	LastPrice    float64      // 8 bytes
	Volume24h    float64      // 8 bytes
	High24h      float64      // 8 bytes
	Low24h       float64      // 8 bytes
	OpenInterest float64      // 8 bytes
	FundingRate  float64      // 8 bytes
	MarkPrice    float64      // 8 bytes
	IndexPrice   float64      // 8 bytes
	OHLCVBars    [1440]OHLCV  // 1440 1-min bars = 46KB
	Trades       [1000]Trade  // Recent trades = 74KB
	UpdateTime   int64        // 8 bytes
} // ~124 KB per market!

type OHLCV struct {
	Time   int64   // 8 bytes
	Open   float64 // 8 bytes
	High   float64 // 8 bytes
	Low    float64 // 8 bytes
	Close  float64 // 8 bytes
	Volume float64 // 8 bytes
} // 48 bytes

// Session management
type Session struct {
	SessionID    string // 32 bytes
	IP           string // 16 bytes
	UserAgent    string // 128 bytes
	LoginTime    int64  // 8 bytes
	LastActivity int64  // 8 bytes
	ExpiryTime   int64  // 8 bytes
} // ~200 bytes

type APIKey struct {
	KeyID       string   // 32 bytes
	Permissions []string // Variable
	RateLimit   int      // 8 bytes
	CreatedAt   int64    // 8 bytes
} // ~48+ bytes

type Notification struct {
	ID        uint64 // 8 bytes
	Type      string // 16 bytes
	Message   string // 256 bytes avg
	Timestamp int64  // 8 bytes
	Read      bool   // 1 byte
} // ~289 bytes

type UserSettings struct {
	Theme           string            // 16 bytes
	Language        string            // 8 bytes
	Timezone        string            // 32 bytes
	EmailAlerts     bool              // 1 byte
	PushAlerts      bool              // 1 byte
	TradingSettings map[string]string // ~500 bytes
	UIPreferences   map[string]string // ~500 bytes
} // ~1KB

type MarginCall struct {
	Timestamp      int64   // 8 bytes
	RequiredAmount float64 // 8 bytes
	Deadline       int64   // 8 bytes
	Status         uint8   // 1 byte
} // 25 bytes

func main() {
	runtime.GC()
	debug.FreeOSMemory()

	fmt.Println("╔════════════════════════════════════════════════════════════════════════╗")
	fmt.Println("║     COMPLETE LX DEX Memory Analysis - ALL Features for Millions       ║")
	fmt.Println("╚════════════════════════════════════════════════════════════════════════╝")
	fmt.Println()

	// Configuration
	numMarkets := 21000   // 11K securities + 10K crypto
	numUsers := 1_000_000 // 1 million active users
	numVaults := 1000     // 1000 vault strategies

	fmt.Println("System Configuration:")
	fmt.Printf("  • Markets: %s (11K securities + 10K crypto)\n", formatNumber(numMarkets))
	fmt.Printf("  • Active Users: %s\n", formatNumber(numUsers))
	fmt.Printf("  • Vault Strategies: %s\n", formatNumber(numVaults))
	fmt.Printf("  • Target Hardware: Mac Studio M2 Ultra (512GB)\n")
	fmt.Println()

	// Calculate memory requirements
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("MEMORY BREAKDOWN BY COMPONENT")
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println()

	var totalMemory int64

	// 1. Order Books (from previous analysis)
	orderBookMem := calculateOrderBookMemory(numMarkets)
	totalMemory += orderBookMem

	// 2. Market Data Cache
	marketDataMem := calculateMarketDataMemory(numMarkets)
	totalMemory += marketDataMem

	// 3. User Accounts
	userAccountMem := calculateUserMemory(numUsers)
	totalMemory += userAccountMem

	// 4. Active Positions
	positionsMem := calculatePositionsMemory(numUsers)
	totalMemory += positionsMem

	// 5. Margin System
	marginMem := calculateMarginMemory(numUsers)
	totalMemory += marginMem

	// 6. Vaults
	vaultMem := calculateVaultMemory(numVaults, numUsers)
	totalMemory += vaultMem

	// 7. Settlement Engine
	settlementMem := calculateSettlementMemory(numUsers)
	totalMemory += settlementMem

	// 8. Risk Management
	riskMem := calculateRiskMemory(numUsers)
	totalMemory += riskMem

	// 9. Session Management
	sessionMem := calculateSessionMemory(numUsers)
	totalMemory += sessionMem

	// 10. Trade History
	tradeHistoryMem := calculateTradeHistoryMemory(numUsers)
	totalMemory += tradeHistoryMem

	// Summary
	fmt.Println()
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("TOTAL MEMORY REQUIREMENTS")
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Printf("\nTotal Memory Required: %s\n", formatBytes(totalMemory))
	fmt.Printf("Percentage of 512GB: %.2f%%\n", float64(totalMemory)*100/(512*1024*1024*1024))

	// Mac Studio Analysis
	fmt.Println()
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("MAC STUDIO M2 ULTRA (512GB) ANALYSIS")
	fmt.Println("═══════════════════════════════════════════════════════════════════════")

	availableMemory := int64(462) * 1024 * 1024 * 1024 // 462GB available

	fmt.Printf("\nAvailable Memory: 462 GB\n")
	fmt.Printf("Required Memory: %.2f GB\n", float64(totalMemory)/(1024*1024*1024))
	fmt.Printf("Remaining Memory: %.2f GB\n", float64(availableMemory-totalMemory)/(1024*1024*1024))
	fmt.Printf("Utilization: %.2f%%\n", float64(totalMemory)*100/float64(availableMemory))

	if totalMemory < availableMemory {
		fmt.Println("\nStatus: ✅ SYSTEM CAN HANDLE FULL PRODUCTION LOAD")

		// Calculate maximum scale
		scaleFactor := float64(availableMemory) / float64(totalMemory)
		fmt.Printf("\nMaximum Capacity:")
		fmt.Printf("\n  • Max Users: %s (%.1fx current)\n",
			formatNumber(int(float64(numUsers)*scaleFactor)), scaleFactor)
		fmt.Printf("  • Max Markets: %s (%.1fx current)\n",
			formatNumber(int(float64(numMarkets)*scaleFactor)), scaleFactor)
	} else {
		fmt.Println("\nStatus: ❌ EXCEEDS AVAILABLE MEMORY")
		fmt.Println("Recommendation: Use distributed architecture or reduce features")
	}

	// Per-user metrics
	fmt.Println()
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("PER-USER METRICS")
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	perUserMem := totalMemory / int64(numUsers)
	fmt.Printf("\nMemory per user: %s\n", formatBytes(perUserMem))
	fmt.Printf("Users per GB: %d\n", 1024*1024*1024/int(perUserMem))

	// Optimization recommendations
	fmt.Println()
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("OPTIMIZATION STRATEGIES")
	fmt.Println("═══════════════════════════════════════════════════════════════════════")
	fmt.Println("\n1. Tiered Storage:")
	fmt.Println("   • Hot: Active users (last 24h) in memory")
	fmt.Println("   • Warm: Recent users (last 7d) in SSD cache")
	fmt.Println("   • Cold: Inactive users in database")

	fmt.Println("\n2. Data Compression:")
	fmt.Println("   • OHLCV bars: Delta encoding (70% reduction)")
	fmt.Println("   • Trade history: Compression (60% reduction)")
	fmt.Println("   • Market data: Shared price levels (50% reduction)")

	fmt.Println("\n3. Dynamic Loading:")
	fmt.Println("   • Load user data on login")
	fmt.Println("   • Evict inactive sessions after 1 hour")
	fmt.Println("   • Stream market data on demand")
}

func calculateOrderBookMemory(numMarkets int) int64 {
	// From optimized analysis: 4KB per market
	perMarketMem := int64(4 * 1024)
	total := perMarketMem * int64(numMarkets)

	fmt.Println("1. ORDER BOOKS")
	fmt.Printf("   Markets: %d\n", numMarkets)
	fmt.Printf("   Memory per market: 4 KB\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateMarketDataMemory(numMarkets int) int64 {
	// Full L2 depth + OHLCV + recent trades
	perMarketMem := int64(124 * 1024) // 124KB per market
	total := perMarketMem * int64(numMarkets)

	fmt.Println("\n2. MARKET DATA CACHE")
	fmt.Printf("   L2 Depth (100 levels): 3.2 KB per market\n")
	fmt.Printf("   OHLCV bars (1440 × 1min): 46 KB per market\n")
	fmt.Printf("   Recent trades (1000): 74 KB per market\n")
	fmt.Printf("   Total per market: 124 KB\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateUserMemory(numUsers int) int64 {
	// Core user account data
	baseUserSize := int64(2048) // 2KB base structure

	// Assume 20% very active, 30% active, 50% occasional
	veryActive := int64(numUsers) * 20 / 100
	active := int64(numUsers) * 30 / 100
	occasional := int64(numUsers) * 50 / 100

	// Different memory footprints
	veryActiveMem := veryActive * baseUserSize * 10 // 20KB each
	activeMem := active * baseUserSize * 5          // 10KB each
	occasionalMem := occasional * baseUserSize      // 2KB each

	total := veryActiveMem + activeMem + occasionalMem

	fmt.Println("\n3. USER ACCOUNTS")
	fmt.Printf("   Very active (20%%): %s users × 20 KB\n", formatNumber(int(veryActive)))
	fmt.Printf("   Active (30%%): %s users × 10 KB\n", formatNumber(int(active)))
	fmt.Printf("   Occasional (50%%): %s users × 2 KB\n", formatNumber(int(occasional)))
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculatePositionsMemory(numUsers int) int64 {
	// Assume 10% of users have open positions
	activeTraders := int64(numUsers) * 10 / 100
	avgPositionsPerUser := int64(5)
	bytesPerPosition := int64(82)

	total := activeTraders * avgPositionsPerUser * bytesPerPosition

	fmt.Println("\n4. ACTIVE POSITIONS")
	fmt.Printf("   Active traders (10%%): %s\n", formatNumber(int(activeTraders)))
	fmt.Printf("   Avg positions per trader: %d\n", avgPositionsPerUser)
	fmt.Printf("   Memory per position: 82 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateMarginMemory(numUsers int) int64 {
	// 5% of users use margin
	marginUsers := int64(numUsers) * 5 / 100
	marginAccountSize := int64(500) // Including maps and history

	total := marginUsers * marginAccountSize

	fmt.Println("\n5. MARGIN SYSTEM")
	fmt.Printf("   Margin users (5%%): %s\n", formatNumber(int(marginUsers)))
	fmt.Printf("   Memory per margin account: 500 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateVaultMemory(numVaults, numUsers int) int64 {
	// 2% of users participate in vaults
	vaultUsers := int64(numUsers) * 2 / 100
	avgVaultsPerUser := int64(2)
	bytesPerVaultPosition := int64(88)

	// Vault strategy data
	vaultStrategyMem := int64(numVaults) * 100 * 1024 // 100KB per vault

	// User positions
	userVaultMem := vaultUsers * avgVaultsPerUser * bytesPerVaultPosition

	total := vaultStrategyMem + userVaultMem

	fmt.Println("\n6. VAULTS")
	fmt.Printf("   Vault strategies: %d × 100 KB\n", numVaults)
	fmt.Printf("   Vault participants (2%%): %s\n", formatNumber(int(vaultUsers)))
	fmt.Printf("   Avg vaults per user: %d\n", avgVaultsPerUser)
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateSettlementMemory(numUsers int) int64 {
	// Active settlements in memory (last 24h)
	avgSettlementsPerDay := int64(numUsers) * 10 / 100 // 10% of users trade daily
	settlementSize := int64(150)                       // Including netting

	total := avgSettlementsPerDay * settlementSize

	fmt.Println("\n7. SETTLEMENT ENGINE")
	fmt.Printf("   Daily settlements: %s\n", formatNumber(int(avgSettlementsPerDay)))
	fmt.Printf("   Memory per settlement: 150 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateRiskMemory(numUsers int) int64 {
	// Risk profiles for active traders
	activeTraders := int64(numUsers) * 10 / 100
	riskProfileSize := int64(200) // Including history

	total := activeTraders * riskProfileSize

	fmt.Println("\n8. RISK MANAGEMENT")
	fmt.Printf("   Active traders (10%%): %s\n", formatNumber(int(activeTraders)))
	fmt.Printf("   Memory per risk profile: 200 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateSessionMemory(numUsers int) int64 {
	// Assume 5% concurrent users
	concurrentUsers := int64(numUsers) * 5 / 100
	sessionSize := int64(200)

	total := concurrentUsers * sessionSize

	fmt.Println("\n9. SESSION MANAGEMENT")
	fmt.Printf("   Concurrent users (5%%): %s\n", formatNumber(int(concurrentUsers)))
	fmt.Printf("   Memory per session: 200 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func calculateTradeHistoryMemory(numUsers int) int64 {
	// Last 100 trades per active user
	activeTraders := int64(numUsers) * 10 / 100
	tradesPerUser := int64(100)
	tradeSize := int64(74)

	total := activeTraders * tradesPerUser * tradeSize

	fmt.Println("\n10. TRADE HISTORY")
	fmt.Printf("   Active traders (10%%): %s\n", formatNumber(int(activeTraders)))
	fmt.Printf("   Trades per user: %d\n", tradesPerUser)
	fmt.Printf("   Memory per trade: 74 bytes\n")
	fmt.Printf("   Total: %s\n", formatBytes(total))

	return total
}

func formatBytes(bytes int64) string {
	if bytes < 1024 {
		return fmt.Sprintf("%d B", bytes)
	} else if bytes < 1024*1024 {
		return fmt.Sprintf("%.2f KB", float64(bytes)/1024)
	} else if bytes < 1024*1024*1024 {
		return fmt.Sprintf("%.2f MB", float64(bytes)/(1024*1024))
	} else {
		return fmt.Sprintf("%.2f GB", float64(bytes)/(1024*1024*1024))
	}
}

func formatNumber(n int) string {
	if n < 1000 {
		return fmt.Sprintf("%d", n)
	} else if n < 1000000 {
		return fmt.Sprintf("%.1fK", float64(n)/1000)
	} else if n < 1000000000 {
		return fmt.Sprintf("%.1fM", float64(n)/1000000)
	} else {
		return fmt.Sprintf("%.1fB", float64(n)/1000000000)
	}
}