Add enhanced concurrency patterns, rate limiting, market management, and pipeline processing

This commit is contained in:
Krypto Kajun
2025-09-12 01:35:50 -05:00
parent 300976219a
commit fbb85e529a
17 changed files with 1440 additions and 190 deletions

181
pkg/market/fan.go Normal file
View File

@@ -0,0 +1,181 @@
package market
import (
"context"
"fmt"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/internal/ratelimit"
"github.com/ethereum/go-ethereum/core/types"
)
// FanManager manages fan-in/fan-out patterns for multiple data sources
type FanManager struct {
config *config.Config
logger *logger.Logger
rateLimiter *ratelimit.LimiterManager
bufferSize int
maxWorkers int
}
// NewFanManager creates a new fan manager
func NewFanManager(cfg *config.Config, logger *logger.Logger, rateLimiter *ratelimit.LimiterManager) *FanManager {
return &FanManager{
config: cfg,
logger: logger,
rateLimiter: rateLimiter,
bufferSize: cfg.Bot.ChannelBufferSize,
maxWorkers: cfg.Bot.MaxWorkers,
}
}
// FanOut distributes work across multiple workers
func (fm *FanManager) FanOut(ctx context.Context, jobs <-chan *types.Transaction, numWorkers int) <-chan *types.Transaction {
// Create the output channel
out := make(chan *types.Transaction, fm.bufferSize)
// Create a wait group to wait for all workers
var wg sync.WaitGroup
// Start the workers
for i := 0; i < numWorkers; i++ {
wg.Add(1)
go func(workerID int) {
defer wg.Done()
fm.worker(ctx, jobs, out, workerID)
}(i)
}
// Close the output channel when all workers are done
go func() {
wg.Wait()
close(out)
}()
return out
}
// worker processes jobs from the input channel and sends results to the output channel
func (fm *FanManager) worker(ctx context.Context, jobs <-chan *types.Transaction, out chan<- *types.Transaction, workerID int) {
for {
select {
case job, ok := <-jobs:
if !ok {
return // Channel closed
}
// Process the job (in this case, just pass it through)
// In practice, you would do some processing here
fm.logger.Debug(fmt.Sprintf("Worker %d processing transaction %s", workerID, job.Hash().Hex()))
// Simulate some work
time.Sleep(10 * time.Millisecond)
// Send the result to the output channel
select {
case out <- job:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}
// FanIn combines multiple input channels into a single output channel
func (fm *FanManager) FanIn(ctx context.Context, inputs ...<-chan *types.Transaction) <-chan *types.Transaction {
// Create the output channel
out := make(chan *types.Transaction, fm.bufferSize)
// Create a wait group to wait for all input channels
var wg sync.WaitGroup
// Start a goroutine for each input channel
for i, input := range inputs {
wg.Add(1)
go func(inputID int, inputChan <-chan *types.Transaction) {
defer wg.Done()
fm.fanInWorker(ctx, inputChan, out, inputID)
}(i, input)
}
// Close the output channel when all input channels are done
go func() {
wg.Wait()
close(out)
}()
return out
}
// fanInWorker reads from an input channel and writes to the output channel
func (fm *FanManager) fanInWorker(ctx context.Context, input <-chan *types.Transaction, out chan<- *types.Transaction, inputID int) {
for {
select {
case job, ok := <-input:
if !ok {
return // Channel closed
}
// Send the job to the output channel
select {
case out <- job:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}
// Multiplex distributes transactions across multiple endpoints with rate limiting
func (fm *FanManager) Multiplex(ctx context.Context, transactions <-chan *types.Transaction) []<-chan *types.Transaction {
endpoints := fm.rateLimiter.GetEndpoints()
outputs := make([]<-chan *types.Transaction, len(endpoints))
// Create a channel for each endpoint
for i, endpoint := range endpoints {
// Create a buffered channel for this endpoint
endpointChan := make(chan *types.Transaction, fm.bufferSize)
outputs[i] = endpointChan
// Start a worker for this endpoint
go func(endpointURL string, outChan chan<- *types.Transaction) {
defer close(outChan)
for {
select {
case tx, ok := <-transactions:
if !ok {
return // Input channel closed
}
// Wait for rate limiter
if err := fm.rateLimiter.WaitForLimit(ctx, endpointURL); err != nil {
fm.logger.Error(fmt.Sprintf("Rate limiter error for %s: %v", endpointURL, err))
continue
}
// Send to endpoint-specific channel
select {
case outChan <- tx:
case <-ctx.Done():
return
}
case <-ctx.Done():
return
}
}
}(endpoint, endpointChan)
}
return outputs
}

201
pkg/market/manager.go Normal file
View File

@@ -0,0 +1,201 @@
package market
import (
"context"
"fmt"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/ethereum/go-ethereum/common"
"github.com/holiman/uint256"
"golang.org/x/sync/singleflight"
)
// MarketManager manages market data and pool information
type MarketManager struct {
config *config.UniswapConfig
logger *logger.Logger
pools map[string]*PoolData
mu sync.RWMutex
cacheGroup singleflight.Group
cacheDuration time.Duration
maxCacheSize int
}
// PoolData represents data for a Uniswap V3 pool
type PoolData struct {
Address common.Address
Token0 common.Address
Token1 common.Address
Fee int64
Liquidity *uint256.Int
SqrtPriceX96 *uint256.Int
Tick int
TickSpacing int
LastUpdated time.Time
}
// NewMarketManager creates a new market manager
func NewMarketManager(cfg *config.UniswapConfig, logger *logger.Logger) *MarketManager {
return &MarketManager{
config: cfg,
logger: logger,
pools: make(map[string]*PoolData),
cacheDuration: time.Duration(cfg.Cache.Expiration) * time.Second,
maxCacheSize: cfg.Cache.MaxSize,
}
}
// GetPool retrieves pool data, either from cache or by fetching it
func (mm *MarketManager) GetPool(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
// Check if we have it in cache and it's still valid
poolKey := poolAddress.Hex()
mm.mu.RLock()
if pool, exists := mm.pools[poolKey]; exists {
// Check if cache is still valid
if time.Since(pool.LastUpdated) < mm.cacheDuration {
mm.mu.RUnlock()
return pool, nil
}
}
mm.mu.RUnlock()
// Use singleflight to prevent duplicate requests for the same pool
result, err, _ := mm.cacheGroup.Do(poolKey, func() (interface{}, error) {
return mm.fetchPoolData(ctx, poolAddress)
})
if err != nil {
return nil, err
}
pool := result.(*PoolData)
// Update cache
mm.mu.Lock()
// Check if we need to evict old entries
if len(mm.pools) >= mm.maxCacheSize {
mm.evictOldest()
}
mm.pools[poolKey] = pool
mm.mu.Unlock()
return pool, nil
}
// fetchPoolData fetches pool data from the blockchain
func (mm *MarketManager) fetchPoolData(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
// This is a simplified implementation
// In practice, you would interact with the Ethereum blockchain to get real data
// For now, we'll return mock data
pool := &PoolData{
Address: poolAddress,
Token0: common.HexToAddress("0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48"), // USDC
Token1: common.HexToAddress("0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2"), // WETH
Fee: 3000, // 0.3%
Liquidity: uint256.NewInt(1000000000000000000), // 1 ETH equivalent
SqrtPriceX96: uint256.NewInt(2505414483750470000), // Mock sqrt price
Tick: 200000, // Mock tick
TickSpacing: 60, // Tick spacing for 0.3% fee
LastUpdated: time.Now(),
}
mm.logger.Debug(fmt.Sprintf("Fetched pool data for %s", poolAddress.Hex()))
return pool, nil
}
// evictOldest removes the oldest entry from the cache
func (mm *MarketManager) evictOldest() {
oldestKey := ""
var oldestTime time.Time
for key, pool := range mm.pools {
if oldestKey == "" || pool.LastUpdated.Before(oldestTime) {
oldestKey = key
oldestTime = pool.LastUpdated
}
}
if oldestKey != "" {
delete(mm.pools, oldestKey)
mm.logger.Debug(fmt.Sprintf("Evicted pool %s from cache", oldestKey))
}
}
// UpdatePool updates pool data
func (mm *MarketManager) UpdatePool(poolAddress common.Address, liquidity *uint256.Int, sqrtPriceX96 *uint256.Int, tick int) {
poolKey := poolAddress.Hex()
mm.mu.Lock()
defer mm.mu.Unlock()
if pool, exists := mm.pools[poolKey]; exists {
pool.Liquidity = liquidity
pool.SqrtPriceX96 = sqrtPriceX96
pool.Tick = tick
pool.LastUpdated = time.Now()
} else {
// Create new pool entry
pool := &PoolData{
Address: poolAddress,
Liquidity: liquidity,
SqrtPriceX96: sqrtPriceX96,
Tick: tick,
LastUpdated: time.Now(),
}
mm.pools[poolKey] = pool
}
}
// GetPoolsByTokens retrieves pools for a pair of tokens
func (mm *MarketManager) GetPoolsByTokens(token0, token1 common.Address) []*PoolData {
mm.mu.RLock()
defer mm.mu.RUnlock()
pools := make([]*PoolData, 0)
for _, pool := range mm.pools {
// Check if this pool contains the token pair
if (pool.Token0 == token0 && pool.Token1 == token1) ||
(pool.Token0 == token1 && pool.Token1 == token0) {
pools = append(pools, pool)
}
}
return pools
}
// GetAllPools returns all cached pools
func (mm *MarketManager) GetAllPools() []*PoolData {
mm.mu.RLock()
defer mm.mu.RUnlock()
pools := make([]*PoolData, 0, len(mm.pools))
for _, pool := range mm.pools {
pools = append(pools, pool)
}
return pools
}
// ClearCache clears all cached pool data
func (mm *MarketManager) ClearCache() {
mm.mu.Lock()
defer mm.mu.Unlock()
mm.pools = make(map[string]*PoolData)
mm.logger.Info("Cleared pool cache")
}
// GetCacheStats returns cache statistics
func (mm *MarketManager) GetCacheStats() (int, int) {
mm.mu.RLock()
defer mm.mu.RUnlock()
return len(mm.pools), mm.maxCacheSize
}

249
pkg/market/pipeline.go Normal file
View File

@@ -0,0 +1,249 @@
package market
import (
"context"
"fmt"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/pkg/scanner"
"github.com/ethereum/go-ethereum/core/types"
"github.com/holiman/uint256"
)
// Pipeline processes transactions through multiple stages
type Pipeline struct {
config *config.BotConfig
logger *logger.Logger
marketMgr *MarketManager
scanner *scanner.MarketScanner
stages []PipelineStage
bufferSize int
concurrency int
}
// PipelineStage represents a stage in the processing pipeline
type PipelineStage func(context.Context, <-chan *types.Transaction, chan<- *scanner.SwapDetails) error
// NewPipeline creates a new transaction processing pipeline
func NewPipeline(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
scanner *scanner.MarketScanner,
) *Pipeline {
return &Pipeline{
config: cfg,
logger: logger,
marketMgr: marketMgr,
scanner: scanner,
bufferSize: cfg.ChannelBufferSize,
concurrency: cfg.MaxWorkers,
}
}
// AddStage adds a processing stage to the pipeline
func (p *Pipeline) AddStage(stage PipelineStage) {
p.stages = append(p.stages, stage)
}
// ProcessTransactions processes a batch of transactions through the pipeline
func (p *Pipeline) ProcessTransactions(ctx context.Context, transactions []*types.Transaction) error {
if len(p.stages) == 0 {
return fmt.Errorf("no pipeline stages configured")
}
// Create the initial input channel
inputChan := make(chan *types.Transaction, p.bufferSize)
// Send transactions to the input channel
go func() {
defer close(inputChan)
for _, tx := range transactions {
select {
case inputChan <- tx:
case <-ctx.Done():
return
}
}
}()
// Process through each stage
var currentChan <-chan *scanner.SwapDetails = nil
for i, stage := range p.stages {
// Create output channel for this stage
outputChan := make(chan *scanner.SwapDetails, p.bufferSize)
// For the first stage, we need to convert transactions to swap details
if i == 0 {
// Special handling for first stage
go func(stage PipelineStage, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) {
defer close(output)
err := stage(ctx, input, output)
if err != nil {
p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
}
}(stage, inputChan, outputChan)
} else {
// For subsequent stages
go func(stage PipelineStage, input <-chan *scanner.SwapDetails, output chan<- *scanner.SwapDetails) {
defer close(output)
// We need to create a dummy input channel for this stage
// This is a simplification - in practice you'd have a more complex pipeline
dummyInput := make(chan *types.Transaction, p.bufferSize)
close(dummyInput)
err := stage(ctx, dummyInput, output)
if err != nil {
p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
}
}(stage, currentChan, outputChan)
}
currentChan = outputChan
}
// Process the final output
if currentChan != nil {
go p.processSwapDetails(ctx, currentChan)
}
return nil
}
// processSwapDetails processes the final output of the pipeline
func (p *Pipeline) processSwapDetails(ctx context.Context, swapDetails <-chan *scanner.SwapDetails) {
for {
select {
case swap, ok := <-swapDetails:
if !ok {
return // Channel closed
}
// Submit to the market scanner for processing
p.scanner.SubmitSwap(*swap)
case <-ctx.Done():
return
}
}
}
// TransactionDecoderStage decodes transactions to identify swap opportunities
func TransactionDecoderStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
var wg sync.WaitGroup
// Process transactions concurrently
for i := 0; i < cfg.MaxWorkers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case tx, ok := <-input:
if !ok {
return // Channel closed
}
// Process the transaction
swapDetails := decodeTransaction(tx, logger)
if swapDetails != nil {
select {
case output <- swapDetails:
case <-ctx.Done():
return
}
}
case <-ctx.Done():
return
}
}
}()
}
// Wait for all workers to finish
go func() {
wg.Wait()
close(output)
}()
return nil
}
}
// decodeTransaction decodes a transaction to extract swap details
func decodeTransaction(tx *types.Transaction, logger *logger.Logger) *scanner.SwapDetails {
// This is a simplified implementation
// In practice, you would:
// 1. Check if the transaction is calling a Uniswap-like contract
// 2. Decode the function call data
// 3. Extract token addresses, amounts, etc.
// For now, we'll return mock data for demonstration
if tx.To() != nil {
swap := &scanner.SwapDetails{
PoolAddress: tx.To().Hex(),
Token0: "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48", // USDC
Token1: "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", // WETH
Amount0In: big.NewInt(1000000000), // 1000 USDC
Amount0Out: big.NewInt(0),
Amount1In: big.NewInt(0),
Amount1Out: big.NewInt(500000000000000000), // 0.5 WETH
SqrtPriceX96: uint256.NewInt(2505414483750470000),
Liquidity: uint256.NewInt(1000000000000000000),
Tick: 200000,
Timestamp: time.Now(),
TransactionHash: tx.Hash(),
}
logger.Debug(fmt.Sprintf("Decoded swap transaction: %s", tx.Hash().Hex()))
return swap
}
return nil
}
// MarketAnalysisStage performs market analysis on swap details
func MarketAnalysisStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
// This is a placeholder for market analysis
// In practice, you would:
// 1. Get pool data from market manager
// 2. Analyze price impact
// 3. Check for arbitrage opportunities
close(output)
return nil
}
}
// ArbitrageDetectionStage detects arbitrage opportunities
func ArbitrageDetectionStage(
cfg *config.BotConfig,
logger *logger.Logger,
marketMgr *MarketManager,
) PipelineStage {
return func(ctx context.Context, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) error {
// This is a placeholder for arbitrage detection
// In practice, you would:
// 1. Compare prices across multiple pools
// 2. Calculate potential profit
// 3. Filter based on profitability
close(output)
return nil
}
}

View File

@@ -3,74 +3,147 @@ package monitor
import (
"context"
"fmt"
"log"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/internal/ratelimit"
"github.com/your-username/mev-beta/pkg/market"
"github.com/your-username/mev-beta/pkg/scanner"
"github.com/ethereum/go-ethereum/common"
"github.com/ethereum/go-ethereum/core/types"
"github.com/ethereum/go-ethereum/ethclient"
"golang.org/x/time/rate"
)
// ArbitrumMonitor monitors the Arbitrum sequencer for transactions
// ArbitrumMonitor monitors the Arbitrum sequencer for transactions with concurrency support
type ArbitrumMonitor struct {
config *config.ArbitrumConfig
botConfig *config.BotConfig
client *ethclient.Client
rpcEndpoint string
logger *logger.Logger
rateLimiter *ratelimit.LimiterManager
marketMgr *market.MarketManager
scanner *scanner.MarketScanner
pipeline *market.Pipeline
fanManager *market.FanManager
limiter *rate.Limiter
pollInterval time.Duration
running bool
mu sync.RWMutex
}
// NewArbitrumMonitor creates a new Arbitrum monitor
func NewArbitrumMonitor(rpcEndpoint string, pollInterval time.Duration) (*ArbitrumMonitor, error) {
client, err := ethclient.Dial(rpcEndpoint)
// NewArbitrumMonitor creates a new Arbitrum monitor with rate limiting
func NewArbitrumMonitor(
arbCfg *config.ArbitrumConfig,
botCfg *config.BotConfig,
logger *logger.Logger,
rateLimiter *ratelimit.LimiterManager,
marketMgr *market.MarketManager,
scanner *scanner.MarketScanner,
) (*ArbitrumMonitor, error) {
// Create Ethereum client
client, err := ethclient.Dial(arbCfg.RPCEndpoint)
if err != nil {
return nil, fmt.Errorf("failed to connect to Arbitrum node: %v", err)
}
// Create rate limiter based on config
limiter := rate.NewLimiter(
rate.Limit(arbCfg.RateLimit.RequestsPerSecond),
arbCfg.RateLimit.Burst,
)
// Create pipeline
pipeline := market.NewPipeline(botCfg, logger, marketMgr, scanner)
// Add stages to pipeline
pipeline.AddStage(market.TransactionDecoderStage(botCfg, logger, marketMgr))
// Create fan manager
fanManager := market.NewFanManager(
&config.Config{
Arbitrum: *arbCfg,
Bot: *botCfg,
},
logger,
rateLimiter,
)
return &ArbitrumMonitor{
config: arbCfg,
botConfig: botCfg,
client: client,
rpcEndpoint: rpcEndpoint,
pollInterval: pollInterval,
logger: logger,
rateLimiter: rateLimiter,
marketMgr: marketMgr,
scanner: scanner,
pipeline: pipeline,
fanManager: fanManager,
limiter: limiter,
pollInterval: time.Duration(botCfg.PollingInterval) * time.Second,
running: false,
}, nil
}
// Start begins monitoring the Arbitrum sequencer
func (m *ArbitrumMonitor) Start(ctx context.Context) error {
log.Println("Starting Arbitrum sequencer monitoring...")
m.mu.Lock()
m.running = true
m.mu.Unlock()
m.logger.Info("Starting Arbitrum sequencer monitoring...")
// Get the latest block to start from
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
return fmt.Errorf("rate limit error: %v", err)
}
header, err := m.client.HeaderByNumber(ctx, nil)
if err != nil {
return fmt.Errorf("failed to get latest block header: %v", err)
}
lastBlock := header.Number.Uint64()
log.Printf("Starting from block: %d", lastBlock)
m.logger.Info(fmt.Sprintf("Starting from block: %d", lastBlock))
for {
m.mu.RLock()
running := m.running
m.mu.RUnlock()
if !running {
break
}
for m.running {
select {
case <-ctx.Done():
m.running = false
m.Stop()
return nil
case <-time.After(m.pollInterval):
// Get the latest block
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
m.logger.Error(fmt.Sprintf("Rate limit error: %v", err))
continue
}
header, err := m.client.HeaderByNumber(ctx, nil)
if err != nil {
log.Printf("Failed to get latest block header: %v", err)
m.logger.Error(fmt.Sprintf("Failed to get latest block header: %v", err))
continue
}
currentBlock := header.Number.Uint64()
// Process blocks from lastBlock+1 to currentBlock
for blockNum := lastBlock + 1; blockNum <= currentBlock; blockNum++ {
if err := m.processBlock(ctx, blockNum); err != nil {
log.Printf("Failed to process block %d: %v", blockNum, err)
m.logger.Error(fmt.Sprintf("Failed to process block %d: %v", blockNum, err))
}
}
lastBlock = currentBlock
}
}
@@ -80,24 +153,33 @@ func (m *ArbitrumMonitor) Start(ctx context.Context) error {
// Stop stops the monitor
func (m *ArbitrumMonitor) Stop() {
m.mu.Lock()
defer m.mu.Unlock()
m.running = false
m.logger.Info("Stopping Arbitrum monitor...")
}
// processBlock processes a single block for potential swap transactions
func (m *ArbitrumMonitor) processBlock(ctx context.Context, blockNumber uint64) error {
log.Printf("Processing block %d", blockNumber)
m.logger.Debug(fmt.Sprintf("Processing block %d", blockNumber))
// Wait for rate limiter
if err := m.rateLimiter.WaitForLimit(ctx, m.config.RPCEndpoint); err != nil {
return fmt.Errorf("rate limit error: %v", err)
}
// Get block by number
block, err := m.client.BlockByNumber(ctx, big.NewInt(int64(blockNumber)))
if err != nil {
return fmt.Errorf("failed to get block %d: %v", blockNumber, err)
}
// Process each transaction in the block
for _, tx := range block.Transactions() {
if err := m.processTransaction(ctx, tx); err != nil {
log.Printf("Failed to process transaction %s: %v", tx.Hash().Hex(), err)
}
// Process transactions using pipeline
transactions := block.Transactions()
// Process transactions through the pipeline
if err := m.pipeline.ProcessTransactions(ctx, transactions); err != nil {
m.logger.Error(fmt.Sprintf("Pipeline processing error: %v", err))
}
return nil
@@ -108,17 +190,17 @@ func (m *ArbitrumMonitor) processTransaction(ctx context.Context, tx *types.Tran
// Check if this is a potential swap transaction
// This is a simplified check - in practice, you would check for
// specific function signatures of Uniswap-like contracts
// For now, we'll just log all transactions
from, err := m.client.TransactionSender(ctx, tx, common.Hash{}, 0)
if err != nil {
// This can happen for pending transactions
from = common.HexToAddress("0x0")
}
log.Printf("Transaction: %s, From: %s, To: %s, Value: %s ETH",
tx.Hash().Hex(),
from.Hex(),
m.logger.Debug(fmt.Sprintf("Transaction: %s, From: %s, To: %s, Value: %s ETH",
tx.Hash().Hex(),
from.Hex(),
func() string {
if tx.To() != nil {
return tx.To().Hex()
@@ -126,15 +208,15 @@ func (m *ArbitrumMonitor) processTransaction(ctx context.Context, tx *types.Tran
return "contract creation"
}(),
new(big.Float).Quo(new(big.Float).SetInt(tx.Value()), big.NewFloat(1e18)).String(),
)
))
// TODO: Add logic to detect swap transactions and analyze them
// This would involve:
// 1. Checking if the transaction is calling a Uniswap-like contract
// 2. Decoding the swap function call
// 3. Extracting the token addresses and amounts
// 4. Calculating potential price impact
return nil
}
@@ -142,12 +224,12 @@ func (m *ArbitrumMonitor) processTransaction(ctx context.Context, tx *types.Tran
func (m *ArbitrumMonitor) GetPendingTransactions(ctx context.Context) ([]*types.Transaction, error) {
// This is a simplified implementation
// In practice, you might need to use a different approach to access pending transactions
// Query for pending transactions
txs := make([]*types.Transaction, 0)
// Note: ethclient doesn't directly expose pending transactions
// You might need to use a different approach or a custom RPC call
return txs, nil
}

246
pkg/scanner/concurrent.go Normal file
View File

@@ -0,0 +1,246 @@
package scanner
import (
"fmt"
"math/big"
"sync"
"time"
"github.com/your-username/mev-beta/internal/config"
"github.com/your-username/mev-beta/internal/logger"
"github.com/your-username/mev-beta/pkg/uniswap"
"github.com/ethereum/go-ethereum/common"
"github.com/holiman/uint256"
)
// MarketScanner scans markets for price movement opportunities with concurrency
type MarketScanner struct {
config *config.BotConfig
logger *logger.Logger
workerPool chan chan SwapDetails
workers []*SwapWorker
wg sync.WaitGroup
}
// SwapWorker represents a worker that processes swap details
type SwapWorker struct {
ID int
WorkerPool chan chan SwapDetails
JobChannel chan SwapDetails
QuitChan chan bool
scanner *MarketScanner
}
// NewMarketScanner creates a new market scanner with concurrency support
func NewMarketScanner(cfg *config.BotConfig, logger *logger.Logger) *MarketScanner {
scanner := &MarketScanner{
config: cfg,
logger: logger,
workerPool: make(chan chan SwapDetails, cfg.MaxWorkers),
workers: make([]*SwapWorker, 0, cfg.MaxWorkers),
}
// Create workers
for i := 0; i < cfg.MaxWorkers; i++ {
worker := NewSwapWorker(i, scanner.workerPool, scanner)
scanner.workers = append(scanner.workers, worker)
worker.Start()
}
return scanner
}
// NewSwapWorker creates a new swap worker
func NewSwapWorker(id int, workerPool chan chan SwapDetails, scanner *MarketScanner) *SwapWorker {
return &SwapWorker{
ID: id,
WorkerPool: workerPool,
JobChannel: make(chan SwapDetails),
QuitChan: make(chan bool),
scanner: scanner,
}
}
// Start begins the worker
func (w *SwapWorker) Start() {
go func() {
for {
// Register the worker in the worker pool
w.WorkerPool <- w.JobChannel
select {
case job := <-w.JobChannel:
// Process the job
w.Process(job)
case <-w.QuitChan:
// Stop the worker
return
}
}
}()
}
// Stop terminates the worker
func (w *SwapWorker) Stop() {
go func() {
w.QuitChan <- true
}()
}
// Process handles a swap detail
func (w *SwapWorker) Process(swap SwapDetails) {
// Analyze the swap in a separate goroutine to maintain throughput
go func() {
defer w.scanner.wg.Done()
// Log the processing
w.scanner.logger.Debug(fmt.Sprintf("Worker %d processing swap in pool %s", w.ID, swap.PoolAddress))
// Analyze the swap
priceMovement, err := w.scanner.AnalyzeSwap(swap)
if err != nil {
w.scanner.logger.Error(fmt.Sprintf("Error analyzing swap: %v", err))
return
}
// Check if the movement is significant
if w.scanner.IsSignificantMovement(priceMovement, w.scanner.config.MinProfitThreshold) {
w.scanner.logger.Info(fmt.Sprintf("Significant price movement detected: %+v", priceMovement))
// TODO: Send to arbitrage engine
}
}()
}
// SubmitSwap submits a swap for processing by the worker pool
func (s *MarketScanner) SubmitSwap(swap SwapDetails) {
s.wg.Add(1)
// Get an available worker job channel
jobChannel := <-s.workerPool
// Send the job to the worker
jobChannel <- swap
}
// AnalyzeSwap analyzes a swap to determine if it's large enough to move the price
func (s *MarketScanner) AnalyzeSwap(swap SwapDetails) (*PriceMovement, error) {
// Calculate the price before the swap
priceBefore := uniswap.SqrtPriceX96ToPrice(swap.SqrtPriceX96.ToBig())
// For a more accurate calculation, we would need to:
// 1. Calculate the new sqrtPriceX96 after the swap
// 2. Convert that to a price
// 3. Calculate the price impact
priceMovement := &PriceMovement{
Token0: swap.Token0,
Token1: swap.Token1,
Pool: swap.PoolAddress,
AmountIn: new(big.Int).Add(swap.Amount0In, swap.Amount1In),
AmountOut: new(big.Int).Add(swap.Amount0Out, swap.Amount1Out),
PriceBefore: priceBefore,
TickBefore: swap.Tick,
// TickAfter would be calculated based on the swap size and liquidity
}
// Calculate price impact (simplified)
// In practice, this would involve more complex calculations using Uniswap V3 math
if priceMovement.AmountIn.Cmp(big.NewInt(0)) > 0 {
impact := new(big.Float).Quo(
new(big.Float).SetInt(priceMovement.AmountOut),
new(big.Float).SetInt(priceMovement.AmountIn),
)
priceImpact, _ := impact.Float64()
priceMovement.PriceImpact = priceImpact
}
return priceMovement, nil
}
// IsSignificantMovement determines if a price movement is significant enough to exploit
func (s *MarketScanner) IsSignificantMovement(movement *PriceMovement, threshold float64) bool {
// Check if the price impact is above our threshold
return movement.PriceImpact > threshold
}
// CalculateTickAfterSwap calculates the tick after a swap occurs
func (s *MarketScanner) CalculateTickAfterSwap(
currentTick int,
liquidity *uint256.Int,
amountIn *big.Int,
zeroForOne bool, // true if swapping token0 for token1
) int {
// This is a simplified implementation
// In practice, you would need to use the Uniswap V3 math formulas
// The actual calculation would involve:
// 1. Converting amounts to sqrt prices
// 2. Using the liquidity to determine the price movement
// 3. Calculating the new tick based on the price movement
// For now, we'll return a placeholder
return currentTick
}
// FindArbitrageOpportunities looks for arbitrage opportunities based on price movements
func (s *MarketScanner) FindArbitrageOpportunities(movements []*PriceMovement) []ArbitrageOpportunity {
opportunities := make([]ArbitrageOpportunity, 0)
// This would contain logic to:
// 1. Compare prices across different pools
// 2. Calculate potential profit after gas costs
// 3. Identify triangular arbitrage opportunities
// 4. Check if the opportunity is profitable
return opportunities
}
// Stop stops the market scanner and all workers
func (s *MarketScanner) Stop() {
// Stop all workers
for _, worker := range s.workers {
worker.Stop()
}
// Wait for all jobs to complete
s.wg.Wait()
}
// ArbitrageOpportunity represents a potential arbitrage opportunity
type ArbitrageOpportunity struct {
Path []string // Token path for the arbitrage
Pools []string // Pools involved in the arbitrage
Profit *big.Int // Estimated profit in wei
GasEstimate *big.Int // Estimated gas cost
ROI float64 // Return on investment percentage
}
// PriceMovement represents a potential price movement
type PriceMovement struct {
Token0 string // Token address
Token1 string // Token address
Pool string // Pool address
AmountIn *big.Int // Amount of token being swapped in
AmountOut *big.Int // Amount of token being swapped out
PriceBefore *big.Float // Price before the swap
PriceAfter *big.Float // Price after the swap (to be calculated)
PriceImpact float64 // Calculated price impact
TickBefore int // Tick before the swap
TickAfter int // Tick after the swap (to be calculated)
}
// SwapDetails contains details about a detected swap
type SwapDetails struct {
PoolAddress string
Token0 string
Token1 string
Amount0In *big.Int
Amount0Out *big.Int
Amount1In *big.Int
Amount1Out *big.Int
SqrtPriceX96 *uint256.Int
Liquidity *uint256.Int
Tick int
Timestamp time.Time
TransactionHash common.Hash
}

View File

@@ -1,122 +1,2 @@
package scanner
import (
"math/big"
"github.com/holiman/uint256"
)
// MarketScanner scans markets for price movement opportunities
type MarketScanner struct {
// Configuration fields would go here
}
// NewMarketScanner creates a new market scanner
func NewMarketScanner() *MarketScanner {
return &MarketScanner{}
}
// PriceMovement represents a potential price movement
type PriceMovement struct {
Token0 string // Token address
Token1 string // Token address
Pool string // Pool address
AmountIn *big.Int // Amount of token being swapped in
AmountOut *big.Int // Amount of token being swapped out
PriceImpact float64 // Calculated price impact
TickBefore int // Tick before the swap
TickAfter int // Tick after the swap
}
// SwapDetails contains details about a detected swap
type SwapDetails struct {
PoolAddress string
Token0 string
Token1 string
Amount0In *big.Int
Amount0Out *big.Int
Amount1In *big.Int
Amount1Out *big.Int
SqrtPriceX96 *uint256.Int
Liquidity *uint256.Int
Tick int
}
// AnalyzeSwap analyzes a swap to determine if it's large enough to move the price
func (s *MarketScanner) AnalyzeSwap(swap SwapDetails) (*PriceMovement, error) {
// This is a simplified implementation
// In practice, you would need to:
// 1. Calculate the price before the swap
// 2. Calculate the price after the swap
// 3. Determine the price impact
priceMovement := &PriceMovement{
Token0: swap.Token0,
Token1: swap.Token1,
Pool: swap.PoolAddress,
AmountIn: new(big.Int).Add(swap.Amount0In, swap.Amount1In),
AmountOut: new(big.Int).Add(swap.Amount0Out, swap.Amount1Out),
TickBefore: swap.Tick,
// TickAfter would be calculated based on the swap size and liquidity
}
// Calculate price impact (simplified)
// In practice, this would involve more complex calculations
if priceMovement.AmountIn.Cmp(big.NewInt(0)) > 0 {
impact := new(big.Float).Quo(
new(big.Float).SetInt(priceMovement.AmountOut),
new(big.Float).SetInt(priceMovement.AmountIn),
)
priceImpact, _ := impact.Float64()
priceMovement.PriceImpact = priceImpact
}
return priceMovement, nil
}
// IsSignificantMovement determines if a price movement is significant enough to exploit
func (s *MarketScanner) IsSignificantMovement(movement *PriceMovement, threshold float64) bool {
// Check if the price impact is above our threshold
return movement.PriceImpact > threshold
}
// CalculateTickAfterSwap calculates the tick after a swap occurs
func (s *MarketScanner) CalculateTickAfterSwap(
currentTick int,
liquidity *uint256.Int,
amountIn *big.Int,
zeroForOne bool, // true if swapping token0 for token1
) int {
// This is a simplified implementation
// In practice, you would need to use the Uniswap V3 math formulas
// The actual calculation would involve:
// 1. Converting amounts to sqrt prices
// 2. Using the liquidity to determine the price movement
// 3. Calculating the new tick based on the price movement
// For now, we'll return a placeholder
return currentTick
}
// FindArbitrageOpportunities looks for arbitrage opportunities based on price movements
func (s *MarketScanner) FindArbitrageOpportunities(movements []*PriceMovement) []ArbitrageOpportunity {
opportunities := make([]ArbitrageOpportunity, 0)
// This would contain logic to:
// 1. Compare prices across different pools
// 2. Calculate potential profit after gas costs
// 3. Identify triangular arbitrage opportunities
// 4. Check if the opportunity is profitable
return opportunities
}
// ArbitrageOpportunity represents a potential arbitrage opportunity
type ArbitrageOpportunity struct {
Path []string // Token path for the arbitrage
Pools []string // Pools involved in the arbitrage
Profit *big.Int // Estimated profit in wei
GasEstimate *big.Int // Estimated gas cost
ROI float64 // Return on investment percentage
}
// Deprecated: Use concurrent.go instead
package scanner

View File

@@ -1,6 +1,7 @@
package uniswap
import (
"math"
"math/big"
"github.com/holiman/uint256"
@@ -8,7 +9,7 @@ import (
const (
// Q96 represents 2^96 used in Uniswap V3 sqrtPriceX96 calculations
Q96 = 79228162514264337593543950336 // 2^96
Q96 = "79228162514264337593543950336" // 2^96 as string to avoid overflow
// Tick spacing for different fee tiers
LowTickSpacing = 10
@@ -58,17 +59,22 @@ func TickToSqrtPriceX96(tick int) *big.Int {
// sqrtPriceX96 = 1.0001^(tick/2) * 2^96
// Calculate 1.0001^(tick/2)
base := new(big.Float).SetFloat64(1.0001)
tickF := new(big.Float).SetFloat64(float64(tick) / 2.0)
power := new(big.Float).Pow(base, tickF)
base := 1.0001
power := float64(tick) / 2.0
result := math.Pow(base, power)
// Convert to big.Float
price := new(big.Float).SetFloat64(result)
// Multiply by 2^96
q96 := new(big.Float).SetInt(new(big.Int).Exp(big.NewInt(2), big.NewInt(96), nil))
sqrtPrice := new(big.Float).Mul(power, q96)
q96Int := new(big.Int)
q96Int.SetString(Q96, 10)
q96 := new(big.Float).SetInt(q96Int)
price.Mul(price, q96)
// Convert to big.Int
sqrtPriceX96 := new(big.Int)
sqrtPrice.Int(sqrtPriceX96)
price.Int(sqrtPriceX96)
return sqrtPriceX96
}
@@ -85,7 +91,9 @@ func SqrtPriceX96ToTick(sqrtPriceX96 *big.Int) int {
// Convert to big.Float
sqrtPrice := new(big.Float).SetInt(sqrtPriceX96)
q96 := new(big.Float).SetInt(new(big.Int).SetInt64(Q96))
q96Int := new(big.Int)
q96Int.SetString(Q96, 10)
q96 := new(big.Float).SetInt(q96Int)
// Calculate sqrtPriceX96 / 2^96
ratio := new(big.Float).Quo(sqrtPrice, q96)
@@ -95,14 +103,15 @@ func SqrtPriceX96ToTick(sqrtPriceX96 *big.Int) int {
// Calculate log_1.0001(price)
// log_1.0001(x) = ln(x) / ln(1.0001)
lnPrice := new(big.Float).Log(price)
lnBase := new(big.Float).Log(new(big.Float).SetFloat64(1.0001))
logRatio := new(big.Float).Quo(lnPrice, lnBase)
priceFloat, _ := price.Float64()
lnPrice := math.Log(priceFloat)
lnBase := math.Log(1.0001)
logRatio := lnPrice / lnBase
// Convert to int
tick, _ := logRatio.Int64()
tick := int(logRatio)
return int(tick)
return tick
}
// GetTickAtSqrtPrice calculates the tick for a given sqrtPriceX96 using uint256