Add enhanced concurrency patterns, rate limiting, market management, and pipeline processing
This commit is contained in:
Krypto Kajun
181
pkg/market/fan.go
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181
pkg/market/fan.go
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@@ -0,0 +1,181 @@
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package market
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import (
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"context"
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"fmt"
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"sync"
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"time"
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"github.com/your-username/mev-beta/internal/config"
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"github.com/your-username/mev-beta/internal/logger"
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"github.com/your-username/mev-beta/internal/ratelimit"
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"github.com/ethereum/go-ethereum/core/types"
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)
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// FanManager manages fan-in/fan-out patterns for multiple data sources
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type FanManager struct {
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config *config.Config
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logger *logger.Logger
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rateLimiter *ratelimit.LimiterManager
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bufferSize int
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maxWorkers int
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}
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// NewFanManager creates a new fan manager
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func NewFanManager(cfg *config.Config, logger *logger.Logger, rateLimiter *ratelimit.LimiterManager) *FanManager {
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return &FanManager{
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config: cfg,
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logger: logger,
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rateLimiter: rateLimiter,
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bufferSize: cfg.Bot.ChannelBufferSize,
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maxWorkers: cfg.Bot.MaxWorkers,
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}
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}
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// FanOut distributes work across multiple workers
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func (fm *FanManager) FanOut(ctx context.Context, jobs <-chan *types.Transaction, numWorkers int) <-chan *types.Transaction {
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// Create the output channel
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out := make(chan *types.Transaction, fm.bufferSize)
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// Create a wait group to wait for all workers
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var wg sync.WaitGroup
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// Start the workers
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for i := 0; i < numWorkers; i++ {
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wg.Add(1)
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go func(workerID int) {
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defer wg.Done()
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fm.worker(ctx, jobs, out, workerID)
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}(i)
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}
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// Close the output channel when all workers are done
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go func() {
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wg.Wait()
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close(out)
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}()
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return out
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}
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// worker processes jobs from the input channel and sends results to the output channel
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func (fm *FanManager) worker(ctx context.Context, jobs <-chan *types.Transaction, out chan<- *types.Transaction, workerID int) {
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for {
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select {
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case job, ok := <-jobs:
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if !ok {
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return // Channel closed
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}
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// Process the job (in this case, just pass it through)
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// In practice, you would do some processing here
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fm.logger.Debug(fmt.Sprintf("Worker %d processing transaction %s", workerID, job.Hash().Hex()))
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// Simulate some work
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time.Sleep(10 * time.Millisecond)
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// Send the result to the output channel
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select {
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case out <- job:
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case <-ctx.Done():
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return
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}
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case <-ctx.Done():
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return
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}
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}
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}
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// FanIn combines multiple input channels into a single output channel
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func (fm *FanManager) FanIn(ctx context.Context, inputs ...<-chan *types.Transaction) <-chan *types.Transaction {
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// Create the output channel
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out := make(chan *types.Transaction, fm.bufferSize)
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// Create a wait group to wait for all input channels
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var wg sync.WaitGroup
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// Start a goroutine for each input channel
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for i, input := range inputs {
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wg.Add(1)
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go func(inputID int, inputChan <-chan *types.Transaction) {
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defer wg.Done()
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fm.fanInWorker(ctx, inputChan, out, inputID)
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}(i, input)
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}
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// Close the output channel when all input channels are done
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go func() {
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wg.Wait()
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close(out)
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}()
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return out
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}
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// fanInWorker reads from an input channel and writes to the output channel
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func (fm *FanManager) fanInWorker(ctx context.Context, input <-chan *types.Transaction, out chan<- *types.Transaction, inputID int) {
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for {
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select {
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case job, ok := <-input:
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if !ok {
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return // Channel closed
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}
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// Send the job to the output channel
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select {
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case out <- job:
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case <-ctx.Done():
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return
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}
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case <-ctx.Done():
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return
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}
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}
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}
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// Multiplex distributes transactions across multiple endpoints with rate limiting
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func (fm *FanManager) Multiplex(ctx context.Context, transactions <-chan *types.Transaction) []<-chan *types.Transaction {
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endpoints := fm.rateLimiter.GetEndpoints()
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outputs := make([]<-chan *types.Transaction, len(endpoints))
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// Create a channel for each endpoint
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for i, endpoint := range endpoints {
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// Create a buffered channel for this endpoint
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endpointChan := make(chan *types.Transaction, fm.bufferSize)
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outputs[i] = endpointChan
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// Start a worker for this endpoint
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go func(endpointURL string, outChan chan<- *types.Transaction) {
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defer close(outChan)
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for {
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select {
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case tx, ok := <-transactions:
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if !ok {
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return // Input channel closed
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}
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// Wait for rate limiter
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if err := fm.rateLimiter.WaitForLimit(ctx, endpointURL); err != nil {
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fm.logger.Error(fmt.Sprintf("Rate limiter error for %s: %v", endpointURL, err))
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continue
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}
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// Send to endpoint-specific channel
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select {
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case outChan <- tx:
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case <-ctx.Done():
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return
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}
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case <-ctx.Done():
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return
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}
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}
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}(endpoint, endpointChan)
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}
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return outputs
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}
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201
pkg/market/manager.go
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201
pkg/market/manager.go
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@@ -0,0 +1,201 @@
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package market
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import (
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"context"
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"fmt"
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"sync"
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"time"
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"github.com/your-username/mev-beta/internal/config"
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"github.com/your-username/mev-beta/internal/logger"
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"github.com/ethereum/go-ethereum/common"
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"github.com/holiman/uint256"
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"golang.org/x/sync/singleflight"
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)
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// MarketManager manages market data and pool information
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type MarketManager struct {
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config *config.UniswapConfig
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logger *logger.Logger
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pools map[string]*PoolData
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mu sync.RWMutex
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cacheGroup singleflight.Group
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cacheDuration time.Duration
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maxCacheSize int
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}
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// PoolData represents data for a Uniswap V3 pool
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type PoolData struct {
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Address common.Address
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Token0 common.Address
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Token1 common.Address
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Fee int64
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Liquidity *uint256.Int
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SqrtPriceX96 *uint256.Int
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Tick int
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TickSpacing int
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LastUpdated time.Time
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}
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// NewMarketManager creates a new market manager
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func NewMarketManager(cfg *config.UniswapConfig, logger *logger.Logger) *MarketManager {
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return &MarketManager{
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config: cfg,
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logger: logger,
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pools: make(map[string]*PoolData),
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cacheDuration: time.Duration(cfg.Cache.Expiration) * time.Second,
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maxCacheSize: cfg.Cache.MaxSize,
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}
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}
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// GetPool retrieves pool data, either from cache or by fetching it
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func (mm *MarketManager) GetPool(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
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// Check if we have it in cache and it's still valid
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poolKey := poolAddress.Hex()
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mm.mu.RLock()
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if pool, exists := mm.pools[poolKey]; exists {
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// Check if cache is still valid
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if time.Since(pool.LastUpdated) < mm.cacheDuration {
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mm.mu.RUnlock()
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return pool, nil
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}
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}
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mm.mu.RUnlock()
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// Use singleflight to prevent duplicate requests for the same pool
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result, err, _ := mm.cacheGroup.Do(poolKey, func() (interface{}, error) {
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return mm.fetchPoolData(ctx, poolAddress)
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})
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if err != nil {
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return nil, err
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}
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pool := result.(*PoolData)
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// Update cache
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mm.mu.Lock()
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// Check if we need to evict old entries
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if len(mm.pools) >= mm.maxCacheSize {
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mm.evictOldest()
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}
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mm.pools[poolKey] = pool
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mm.mu.Unlock()
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return pool, nil
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}
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// fetchPoolData fetches pool data from the blockchain
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func (mm *MarketManager) fetchPoolData(ctx context.Context, poolAddress common.Address) (*PoolData, error) {
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// This is a simplified implementation
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// In practice, you would interact with the Ethereum blockchain to get real data
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// For now, we'll return mock data
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pool := &PoolData{
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Address: poolAddress,
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Token0: common.HexToAddress("0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48"), // USDC
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Token1: common.HexToAddress("0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2"), // WETH
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Fee: 3000, // 0.3%
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Liquidity: uint256.NewInt(1000000000000000000), // 1 ETH equivalent
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SqrtPriceX96: uint256.NewInt(2505414483750470000), // Mock sqrt price
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Tick: 200000, // Mock tick
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TickSpacing: 60, // Tick spacing for 0.3% fee
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LastUpdated: time.Now(),
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}
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mm.logger.Debug(fmt.Sprintf("Fetched pool data for %s", poolAddress.Hex()))
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return pool, nil
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}
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// evictOldest removes the oldest entry from the cache
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func (mm *MarketManager) evictOldest() {
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oldestKey := ""
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var oldestTime time.Time
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for key, pool := range mm.pools {
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if oldestKey == "" || pool.LastUpdated.Before(oldestTime) {
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oldestKey = key
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oldestTime = pool.LastUpdated
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}
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}
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if oldestKey != "" {
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delete(mm.pools, oldestKey)
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mm.logger.Debug(fmt.Sprintf("Evicted pool %s from cache", oldestKey))
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}
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}
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// UpdatePool updates pool data
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func (mm *MarketManager) UpdatePool(poolAddress common.Address, liquidity *uint256.Int, sqrtPriceX96 *uint256.Int, tick int) {
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poolKey := poolAddress.Hex()
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mm.mu.Lock()
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defer mm.mu.Unlock()
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if pool, exists := mm.pools[poolKey]; exists {
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pool.Liquidity = liquidity
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pool.SqrtPriceX96 = sqrtPriceX96
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pool.Tick = tick
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pool.LastUpdated = time.Now()
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} else {
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// Create new pool entry
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pool := &PoolData{
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Address: poolAddress,
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Liquidity: liquidity,
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SqrtPriceX96: sqrtPriceX96,
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Tick: tick,
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LastUpdated: time.Now(),
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}
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mm.pools[poolKey] = pool
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}
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}
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// GetPoolsByTokens retrieves pools for a pair of tokens
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func (mm *MarketManager) GetPoolsByTokens(token0, token1 common.Address) []*PoolData {
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mm.mu.RLock()
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defer mm.mu.RUnlock()
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pools := make([]*PoolData, 0)
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for _, pool := range mm.pools {
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// Check if this pool contains the token pair
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if (pool.Token0 == token0 && pool.Token1 == token1) ||
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(pool.Token0 == token1 && pool.Token1 == token0) {
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pools = append(pools, pool)
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}
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}
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return pools
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}
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// GetAllPools returns all cached pools
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func (mm *MarketManager) GetAllPools() []*PoolData {
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mm.mu.RLock()
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defer mm.mu.RUnlock()
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pools := make([]*PoolData, 0, len(mm.pools))
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for _, pool := range mm.pools {
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pools = append(pools, pool)
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}
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return pools
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}
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// ClearCache clears all cached pool data
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func (mm *MarketManager) ClearCache() {
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mm.mu.Lock()
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defer mm.mu.Unlock()
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mm.pools = make(map[string]*PoolData)
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mm.logger.Info("Cleared pool cache")
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}
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// GetCacheStats returns cache statistics
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func (mm *MarketManager) GetCacheStats() (int, int) {
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mm.mu.RLock()
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defer mm.mu.RUnlock()
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return len(mm.pools), mm.maxCacheSize
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}
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249
pkg/market/pipeline.go
Normal file
249
pkg/market/pipeline.go
Normal file
@@ -0,0 +1,249 @@
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package market
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import (
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"context"
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"fmt"
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"math/big"
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"sync"
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"time"
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"github.com/your-username/mev-beta/internal/config"
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"github.com/your-username/mev-beta/internal/logger"
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"github.com/your-username/mev-beta/pkg/scanner"
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"github.com/ethereum/go-ethereum/core/types"
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"github.com/holiman/uint256"
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)
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// Pipeline processes transactions through multiple stages
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type Pipeline struct {
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config *config.BotConfig
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logger *logger.Logger
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marketMgr *MarketManager
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scanner *scanner.MarketScanner
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stages []PipelineStage
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bufferSize int
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concurrency int
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}
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// PipelineStage represents a stage in the processing pipeline
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type PipelineStage func(context.Context, <-chan *types.Transaction, chan<- *scanner.SwapDetails) error
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// NewPipeline creates a new transaction processing pipeline
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func NewPipeline(
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cfg *config.BotConfig,
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logger *logger.Logger,
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marketMgr *MarketManager,
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scanner *scanner.MarketScanner,
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) *Pipeline {
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return &Pipeline{
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config: cfg,
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logger: logger,
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marketMgr: marketMgr,
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scanner: scanner,
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bufferSize: cfg.ChannelBufferSize,
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concurrency: cfg.MaxWorkers,
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}
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}
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// AddStage adds a processing stage to the pipeline
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func (p *Pipeline) AddStage(stage PipelineStage) {
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p.stages = append(p.stages, stage)
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}
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// ProcessTransactions processes a batch of transactions through the pipeline
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func (p *Pipeline) ProcessTransactions(ctx context.Context, transactions []*types.Transaction) error {
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if len(p.stages) == 0 {
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return fmt.Errorf("no pipeline stages configured")
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}
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// Create the initial input channel
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inputChan := make(chan *types.Transaction, p.bufferSize)
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// Send transactions to the input channel
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go func() {
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defer close(inputChan)
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for _, tx := range transactions {
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select {
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case inputChan <- tx:
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case <-ctx.Done():
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return
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}
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}
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}()
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// Process through each stage
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var currentChan <-chan *scanner.SwapDetails = nil
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for i, stage := range p.stages {
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// Create output channel for this stage
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outputChan := make(chan *scanner.SwapDetails, p.bufferSize)
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// For the first stage, we need to convert transactions to swap details
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if i == 0 {
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// Special handling for first stage
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go func(stage PipelineStage, input <-chan *types.Transaction, output chan<- *scanner.SwapDetails) {
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defer close(output)
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err := stage(ctx, input, output)
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if err != nil {
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p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
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}
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}(stage, inputChan, outputChan)
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} else {
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// For subsequent stages
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go func(stage PipelineStage, input <-chan *scanner.SwapDetails, output chan<- *scanner.SwapDetails) {
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defer close(output)
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// We need to create a dummy input channel for this stage
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// This is a simplification - in practice you'd have a more complex pipeline
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dummyInput := make(chan *types.Transaction, p.bufferSize)
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close(dummyInput)
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err := stage(ctx, dummyInput, output)
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if err != nil {
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p.logger.Error(fmt.Sprintf("Pipeline stage %d error: %v", i, err))
|
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}
|
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}(stage, currentChan, outputChan)
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}
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currentChan = outputChan
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}
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// Process the final output
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if currentChan != nil {
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go p.processSwapDetails(ctx, currentChan)
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}
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return nil
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}
|
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|
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// processSwapDetails processes the final output of the pipeline
|
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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
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user