- Fixed duplicate type declarations in transport package - Removed unused variables in lifecycle and dependency injection - Fixed big.Int arithmetic operations in uniswap contracts - Added missing methods to MetricsCollector (IncrementCounter, RecordLatency, etc.) - Fixed jitter calculation in TCP transport retry logic - Updated ComponentHealth field access to use transport type - Ensured all core packages build successfully All major compilation errors resolved: ✅ Transport package builds clean ✅ Lifecycle package builds clean ✅ Main MEV bot application builds clean ✅ Fixed method signature mismatches ✅ Resolved type conflicts and duplications 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
600 lines
17 KiB
Go
600 lines
17 KiB
Go
package arbitrum
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import (
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"fmt"
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"log"
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"time"
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"github.com/fraktal/mev-beta/internal/logger"
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"github.com/fraktal/mev-beta/pkg/oracle"
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)
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// ExampleUsage demonstrates how to use the enhanced DEX parser
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func ExampleUsage() {
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// Initialize logger
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logger := logger.New("enhanced-parser", "info", "json")
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// Initialize price oracle (placeholder)
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priceOracle := &oracle.PriceOracle{} // This would be properly initialized
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// Create enhanced parser configuration
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config := &EnhancedParserConfig{
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RPCEndpoint: "wss://arbitrum-mainnet.core.chainstack.com/your-api-key",
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RPCTimeout: 30 * time.Second,
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MaxRetries: 3,
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EnabledProtocols: []Protocol{
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ProtocolUniswapV2, ProtocolUniswapV3,
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ProtocolSushiSwapV2, ProtocolSushiSwapV3,
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ProtocolCamelotV2, ProtocolCamelotV3,
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ProtocolTraderJoeV1, ProtocolTraderJoeV2, ProtocolTraderJoeLB,
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ProtocolCurve, ProtocolBalancerV2,
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ProtocolKyberClassic, ProtocolKyberElastic,
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ProtocolGMX, ProtocolRamses, ProtocolChronos,
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},
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MinLiquidityUSD: 1000.0,
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MaxSlippageBps: 1000, // 10%
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EnablePoolDiscovery: true,
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EnableEventEnrichment: true,
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MaxWorkers: 10,
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CacheSize: 10000,
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CacheTTL: 1 * time.Hour,
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BatchSize: 100,
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EnableMetrics: true,
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MetricsInterval: 1 * time.Minute,
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EnableHealthCheck: true,
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}
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// Create enhanced parser
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parser, err := NewEnhancedDEXParser(config, logger, priceOracle)
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if err != nil {
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log.Fatalf("Failed to create enhanced parser: %v", err)
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}
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defer parser.Close()
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// Example 1: Parse a specific transaction
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exampleParseTransaction(parser)
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// Example 2: Parse a block
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exampleParseBlock(parser)
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// Example 3: Monitor real-time events
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exampleRealTimeMonitoring(parser)
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// Example 4: Analyze parser metrics
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exampleAnalyzeMetrics(parser)
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}
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// exampleParseTransaction demonstrates parsing a specific transaction
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func exampleParseTransaction(parser *EnhancedDEXParser) {
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fmt.Println("=== Example: Parse Specific Transaction ===")
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// This would be a real transaction hash from Arbitrum
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// txHash := common.HexToHash("0x1234567890abcdef...")
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// For demonstration, we'll show the expected workflow:
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/*
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// Get transaction
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tx, receipt, err := getTransactionAndReceipt(txHash)
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if err != nil {
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log.Printf("Failed to get transaction: %v", err)
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return
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}
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// Parse transaction
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result, err := parser.ParseTransaction(tx, receipt)
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if err != nil {
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log.Printf("Failed to parse transaction: %v", err)
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return
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}
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// Display results
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fmt.Printf("Found %d DEX events:\n", len(result.Events))
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for i, event := range result.Events {
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fmt.Printf("Event %d:\n", i+1)
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fmt.Printf(" Protocol: %s\n", event.Protocol)
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fmt.Printf(" Type: %s\n", event.EventType)
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fmt.Printf(" Contract: %s\n", event.ContractAddress.Hex())
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if event.AmountIn != nil {
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fmt.Printf(" Amount In: %s\n", event.AmountIn.String())
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}
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if event.AmountOut != nil {
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fmt.Printf(" Amount Out: %s\n", event.AmountOut.String())
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}
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fmt.Printf(" Token In: %s\n", event.TokenInSymbol)
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fmt.Printf(" Token Out: %s\n", event.TokenOutSymbol)
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if event.AmountInUSD > 0 {
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fmt.Printf(" Value USD: $%.2f\n", event.AmountInUSD)
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}
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fmt.Printf(" Is MEV: %t\n", event.IsMEV)
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if event.IsMEV {
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fmt.Printf(" MEV Type: %s\n", event.MEVType)
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fmt.Printf(" Profit: $%.2f\n", event.ProfitUSD)
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}
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fmt.Println()
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}
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fmt.Printf("Discovered %d new pools\n", len(result.NewPools))
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fmt.Printf("Processing time: %dms\n", result.ProcessingTimeMs)
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*/
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fmt.Println("Transaction parsing example completed (placeholder)")
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}
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// exampleParseBlock demonstrates parsing an entire block
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func exampleParseBlock(parser *EnhancedDEXParser) {
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fmt.Println("=== Example: Parse Block ===")
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// Parse a recent block (this would be a real block number)
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_ = uint64(200000000) // Example block number placeholder
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// Parse block
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/*
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result, err := parser.ParseBlock(blockNumber)
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if err != nil {
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log.Printf("Failed to parse block: %v", err)
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return
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}
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// Analyze results
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protocolCounts := make(map[Protocol]int)
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eventTypeCounts := make(map[EventType]int)
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totalVolumeUSD := 0.0
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mevCount := 0
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for _, event := range result.Events {
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protocolCounts[event.Protocol]++
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eventTypeCounts[event.EventType]++
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totalVolumeUSD += event.AmountInUSD
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if event.IsMEV {
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mevCount++
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}
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}
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fmt.Printf("Block %d Analysis:\n", blockNumber)
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fmt.Printf(" Total Events: %d\n", len(result.Events))
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fmt.Printf(" Total Volume: $%.2f\n", totalVolumeUSD)
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fmt.Printf(" MEV Events: %d\n", mevCount)
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fmt.Printf(" New Pools: %d\n", len(result.NewPools))
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fmt.Printf(" Errors: %d\n", len(result.Errors))
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fmt.Println(" Protocol Breakdown:")
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for protocol, count := range protocolCounts {
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fmt.Printf(" %s: %d events\n", protocol, count)
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}
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fmt.Println(" Event Type Breakdown:")
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for eventType, count := range eventTypeCounts {
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fmt.Printf(" %s: %d events\n", eventType, count)
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}
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*/
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fmt.Println("Block parsing example completed (placeholder)")
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}
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// exampleRealTimeMonitoring demonstrates real-time event monitoring
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func exampleRealTimeMonitoring(parser *EnhancedDEXParser) {
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fmt.Println("=== Example: Real-Time Monitoring ===")
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// This would set up real-time monitoring
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/*
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ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
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defer cancel()
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// Subscribe to new blocks
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blockChan := make(chan uint64, 100)
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go subscribeToNewBlocks(ctx, blockChan) // This would be implemented
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// Process blocks as they arrive
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for {
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select {
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case blockNumber := <-blockChan:
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go func(bn uint64) {
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result, err := parser.ParseBlock(bn)
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if err != nil {
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log.Printf("Failed to parse block %d: %v", bn, err)
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return
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}
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// Filter for high-value or MEV events
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for _, event := range result.Events {
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if event.AmountInUSD > 10000 || event.IsMEV {
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log.Printf("High-value event detected: %s %s $%.2f",
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event.Protocol, event.EventType, event.AmountInUSD)
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if event.IsMEV {
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log.Printf("MEV opportunity: %s profit $%.2f",
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event.MEVType, event.ProfitUSD)
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}
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}
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}
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}(blockNumber)
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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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fmt.Println("Real-time monitoring example completed (placeholder)")
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}
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// exampleAnalyzeMetrics demonstrates how to analyze parser performance
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func exampleAnalyzeMetrics(parser *EnhancedDEXParser) {
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fmt.Println("=== Example: Parser Metrics Analysis ===")
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// Get current metrics
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metrics := parser.GetMetrics()
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fmt.Printf("Parser Performance Metrics:\n")
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fmt.Printf(" Uptime: %v\n", time.Since(metrics.StartTime))
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fmt.Printf(" Total Transactions Parsed: %d\n", metrics.TotalTransactionsParsed)
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fmt.Printf(" Total Events Parsed: %d\n", metrics.TotalEventsParsed)
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fmt.Printf(" Total Pools Discovered: %d\n", metrics.TotalPoolsDiscovered)
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fmt.Printf(" Parse Error Count: %d\n", metrics.ParseErrorCount)
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fmt.Printf(" Average Processing Time: %.2fms\n", metrics.AvgProcessingTimeMs)
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fmt.Printf(" Last Processed Block: %d\n", metrics.LastProcessedBlock)
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fmt.Println(" Protocol Breakdown:")
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for protocol, count := range metrics.ProtocolBreakdown {
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fmt.Printf(" %s: %d events\n", protocol, count)
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}
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fmt.Println(" Event Type Breakdown:")
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for eventType, count := range metrics.EventTypeBreakdown {
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fmt.Printf(" %s: %d events\n", eventType, count)
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}
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// Calculate error rate
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if metrics.TotalTransactionsParsed > 0 {
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errorRate := float64(metrics.ParseErrorCount) / float64(metrics.TotalTransactionsParsed) * 100
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fmt.Printf(" Error Rate: %.2f%%\n", errorRate)
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}
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// Performance assessment
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if metrics.AvgProcessingTimeMs < 100 {
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fmt.Println(" Performance: Excellent")
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} else if metrics.AvgProcessingTimeMs < 500 {
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fmt.Println(" Performance: Good")
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} else {
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fmt.Println(" Performance: Needs optimization")
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}
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}
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// IntegrationExample shows how to integrate with existing MEV bot architecture
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func IntegrationExample() {
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fmt.Println("=== Integration with Existing MEV Bot ===")
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// This shows how the enhanced parser would integrate with the existing
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// MEV bot architecture described in the codebase
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/*
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// 1. Initialize enhanced parser
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config := DefaultEnhancedParserConfig()
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config.RPCEndpoint = "wss://arbitrum-mainnet.core.chainstack.com/your-api-key"
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logger := logger.New(logger.Config{Level: "info"})
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oracle := &oracle.PriceOracle{} // Initialize with actual oracle
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parser, err := NewEnhancedDEXParser(config, logger, oracle)
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if err != nil {
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log.Fatalf("Failed to create parser: %v", err)
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}
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defer parser.Close()
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// 2. Integrate with existing arbitrage detection
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// Replace the existing simple parser with enhanced parser in:
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// - pkg/market/pipeline.go
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// - pkg/monitor/concurrent.go
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// - pkg/scanner/concurrent.go
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// 3. Example integration point in market pipeline
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func (p *MarketPipeline) ProcessTransaction(tx *types.Transaction, receipt *types.Receipt) error {
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// Use enhanced parser instead of simple parser
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result, err := p.enhancedParser.ParseTransaction(tx, receipt)
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if err != nil {
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return fmt.Errorf("enhanced parsing failed: %w", err)
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}
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// Process each detected DEX event
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for _, event := range result.Events {
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// Convert to existing arbitrage opportunity format
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opportunity := &ArbitrageOpportunity{
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Protocol: string(event.Protocol),
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TokenIn: event.TokenIn,
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TokenOut: event.TokenOut,
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AmountIn: event.AmountIn,
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AmountOut: event.AmountOut,
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ExpectedProfit: event.ProfitUSD,
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PoolAddress: event.PoolAddress,
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Timestamp: event.Timestamp,
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}
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// Apply existing arbitrage detection logic
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if p.isArbitrageOpportunity(opportunity) {
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p.opportunityChannel <- opportunity
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}
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}
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return nil
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}
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// 4. Enhanced MEV detection
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func (p *MarketPipeline) detectMEVOpportunities(events []*EnhancedDEXEvent) {
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for _, event := range events {
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if event.IsMEV {
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switch event.MEVType {
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case "arbitrage":
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p.handleArbitrageOpportunity(event)
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case "sandwich":
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p.handleSandwichOpportunity(event)
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case "liquidation":
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p.handleLiquidationOpportunity(event)
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}
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}
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}
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}
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// 5. Pool discovery integration
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func (p *PoolDiscovery) discoverNewPools() {
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// Use enhanced parser's pool discovery
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pools, err := p.enhancedParser.DiscoverPools(latestBlock-1000, latestBlock)
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if err != nil {
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p.logger.Error("Pool discovery failed", "error", err)
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return
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}
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for _, pool := range pools {
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// Add to existing pool registry
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p.addPool(pool)
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// Update pool cache
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p.poolCache.AddPool(pool)
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}
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}
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*/
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fmt.Println("Integration example completed (placeholder)")
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}
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// BenchmarkExample demonstrates performance testing
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func BenchmarkExample() {
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fmt.Println("=== Performance Benchmark ===")
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/*
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// This would run performance benchmarks
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config := DefaultEnhancedParserConfig()
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config.MaxWorkers = 20
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config.EnableMetrics = true
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parser, _ := NewEnhancedDEXParser(config, logger, oracle)
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defer parser.Close()
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// Benchmark block parsing
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startTime := time.Now()
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blockCount := 1000
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for i := 0; i < blockCount; i++ {
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blockNumber := uint64(200000000 + i)
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_, err := parser.ParseBlock(blockNumber)
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if err != nil {
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log.Printf("Failed to parse block %d: %v", blockNumber, err)
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}
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}
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duration := time.Since(startTime)
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blocksPerSecond := float64(blockCount) / duration.Seconds()
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fmt.Printf("Benchmark Results:\n")
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fmt.Printf(" Blocks parsed: %d\n", blockCount)
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fmt.Printf(" Duration: %v\n", duration)
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fmt.Printf(" Blocks per second: %.2f\n", blocksPerSecond)
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metrics := parser.GetMetrics()
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fmt.Printf(" Average processing time: %.2fms\n", metrics.AvgProcessingTimeMs)
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fmt.Printf(" Total events found: %d\n", metrics.TotalEventsParsed)
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*/
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fmt.Println("Benchmark example completed (placeholder)")
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}
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// MonitoringDashboardExample shows how to create a monitoring dashboard
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func MonitoringDashboardExample() {
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fmt.Println("=== Monitoring Dashboard ===")
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/*
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// This would create a real-time monitoring dashboard
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type DashboardMetrics struct {
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CurrentBlock uint64
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EventsPerSecond float64
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PoolsDiscovered uint64
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MEVOpportunities uint64
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TotalVolumeUSD float64
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TopProtocols map[Protocol]uint64
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ErrorRate float64
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ProcessingLatency time.Duration
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}
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func createDashboard(parser *EnhancedDEXParser) *DashboardMetrics {
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metrics := parser.GetMetrics()
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// Calculate events per second
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uptime := time.Since(metrics.StartTime).Seconds()
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eventsPerSecond := float64(metrics.TotalEventsParsed) / uptime
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// Calculate error rate
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errorRate := 0.0
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if metrics.TotalTransactionsParsed > 0 {
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errorRate = float64(metrics.ParseErrorCount) / float64(metrics.TotalTransactionsParsed) * 100
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}
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return &DashboardMetrics{
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CurrentBlock: metrics.LastProcessedBlock,
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EventsPerSecond: eventsPerSecond,
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PoolsDiscovered: metrics.TotalPoolsDiscovered,
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TotalVolumeUSD: calculateTotalVolume(metrics),
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TopProtocols: metrics.ProtocolBreakdown,
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ErrorRate: errorRate,
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ProcessingLatency: time.Duration(metrics.AvgProcessingTimeMs) * time.Millisecond,
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}
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}
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// Display dashboard
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ticker := time.NewTicker(10 * time.Second)
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defer ticker.Stop()
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for range ticker.C {
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dashboard := createDashboard(parser)
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fmt.Printf("\n=== DEX Parser Dashboard ===\n")
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fmt.Printf("Current Block: %d\n", dashboard.CurrentBlock)
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fmt.Printf("Events/sec: %.2f\n", dashboard.EventsPerSecond)
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fmt.Printf("Pools Discovered: %d\n", dashboard.PoolsDiscovered)
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fmt.Printf("Total Volume: $%.2f\n", dashboard.TotalVolumeUSD)
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fmt.Printf("Error Rate: %.2f%%\n", dashboard.ErrorRate)
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fmt.Printf("Latency: %v\n", dashboard.ProcessingLatency)
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fmt.Println("Top Protocols:")
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for protocol, count := range dashboard.TopProtocols {
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if count > 0 {
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fmt.Printf(" %s: %d\n", protocol, count)
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}
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}
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}
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*/
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fmt.Println("Monitoring dashboard example completed (placeholder)")
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}
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// ProductionDeploymentExample shows production deployment considerations
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func ProductionDeploymentExample() {
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fmt.Println("=== Production Deployment Guide ===")
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fmt.Println(`
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Production Deployment Checklist:
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1. Infrastructure Setup:
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- Use redundant RPC endpoints
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- Configure load balancing
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- Set up monitoring and alerting
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- Implement log aggregation
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- Configure auto-scaling
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2. Configuration:
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- Set appropriate cache sizes based on memory
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- Configure worker pools based on CPU cores
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- Set reasonable timeouts and retries
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- Enable metrics and health checks
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- Configure database persistence
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3. Security:
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- Secure RPC endpoints with authentication
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- Use environment variables for secrets
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- Implement rate limiting
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- Set up network security
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- Enable audit logging
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4. Performance Optimization:
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- Profile memory usage
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- Monitor CPU utilization
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- Optimize database queries
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- Implement connection pooling
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- Use efficient data structures
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5. Monitoring:
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- Set up Prometheus metrics
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- Configure Grafana dashboards
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- Implement alerting rules
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- Monitor error rates
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- Track performance metrics
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6. Disaster Recovery:
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- Implement backup strategies
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- Set up failover mechanisms
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- Test recovery procedures
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- Document emergency procedures
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- Plan for data corruption scenarios
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Example production configuration:
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config := &EnhancedParserConfig{
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RPCEndpoint: os.Getenv("ARBITRUM_RPC_ENDPOINT"),
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RPCTimeout: 45 * time.Second,
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MaxRetries: 5,
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EnabledProtocols: allProtocols,
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MinLiquidityUSD: 500.0,
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MaxSlippageBps: 2000,
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EnablePoolDiscovery: true,
|
|
EnableEventEnrichment: true,
|
|
MaxWorkers: runtime.NumCPU() * 2,
|
|
CacheSize: 50000,
|
|
CacheTTL: 2 * time.Hour,
|
|
BatchSize: 200,
|
|
EnableMetrics: true,
|
|
MetricsInterval: 30 * time.Second,
|
|
EnableHealthCheck: true,
|
|
EnablePersistence: true,
|
|
DatabaseURL: os.Getenv("DATABASE_URL"),
|
|
RedisURL: os.Getenv("REDIS_URL"),
|
|
}
|
|
`)
|
|
}
|
|
|
|
// AdvancedFeaturesExample demonstrates advanced features
|
|
func AdvancedFeaturesExample() {
|
|
fmt.Println("=== Advanced Features ===")
|
|
|
|
fmt.Println(`
|
|
Advanced Features Available:
|
|
|
|
1. Multi-Protocol Arbitrage Detection:
|
|
- Cross-DEX arbitrage opportunities
|
|
- Flash loan integration
|
|
- Gas cost optimization
|
|
- Profit threshold filtering
|
|
|
|
2. MEV Protection:
|
|
- Sandwich attack detection
|
|
- Front-running identification
|
|
- Private mempool integration
|
|
- MEV protection strategies
|
|
|
|
3. Liquidity Analysis:
|
|
- Pool depth analysis
|
|
- Impermanent loss calculation
|
|
- Yield farming opportunities
|
|
- Liquidity mining rewards
|
|
|
|
4. Risk Management:
|
|
- Smart slippage protection
|
|
- Position sizing algorithms
|
|
- Market impact analysis
|
|
- Volatility assessment
|
|
|
|
5. Machine Learning Integration:
|
|
- Pattern recognition
|
|
- Predictive analytics
|
|
- Anomaly detection
|
|
- Strategy optimization
|
|
|
|
6. Advanced Caching:
|
|
- Distributed caching
|
|
- Cache warming strategies
|
|
- Intelligent prefetching
|
|
- Memory optimization
|
|
|
|
7. Real-Time Analytics:
|
|
- Stream processing
|
|
- Complex event processing
|
|
- Real-time aggregations
|
|
- Alert systems
|
|
|
|
8. Custom Protocol Support:
|
|
- Plugin architecture
|
|
- Custom parser development
|
|
- Protocol-specific optimizations
|
|
- Extension mechanisms
|
|
`)
|
|
}
|