package arbitrum

import (
	"fmt"
	"log"
	"time"

	"github.com/fraktal/mev-beta/internal/logger"
	"github.com/fraktal/mev-beta/pkg/oracle"
)

// ExampleUsage demonstrates how to use the enhanced DEX parser
func ExampleUsage() {
	// Initialize logger
	logger := logger.New("enhanced-parser", "info", "json")

	// Initialize price oracle (placeholder)
	priceOracle := &oracle.PriceOracle{} // This would be properly initialized

	// Create enhanced parser configuration
	config := &EnhancedParserConfig{
		RPCEndpoint: "wss://arbitrum-mainnet.core.chainstack.com/your-api-key",
		RPCTimeout:  30 * time.Second,
		MaxRetries:  3,
		EnabledProtocols: []Protocol{
			ProtocolUniswapV2, ProtocolUniswapV3,
			ProtocolSushiSwapV2, ProtocolSushiSwapV3,
			ProtocolCamelotV2, ProtocolCamelotV3,
			ProtocolTraderJoeV1, ProtocolTraderJoeV2, ProtocolTraderJoeLB,
			ProtocolCurve, ProtocolBalancerV2,
			ProtocolKyberClassic, ProtocolKyberElastic,
			ProtocolGMX, ProtocolRamses, ProtocolChronos,
		},
		MinLiquidityUSD:       1000.0,
		MaxSlippageBps:        1000, // 10%
		EnablePoolDiscovery:   true,
		EnableEventEnrichment: true,
		MaxWorkers:            10,
		CacheSize:             10000,
		CacheTTL:              1 * time.Hour,
		BatchSize:             100,
		EnableMetrics:         true,
		MetricsInterval:       1 * time.Minute,
		EnableHealthCheck:     true,
	}

	// Create enhanced parser
	parser, err := NewEnhancedDEXParser(config, logger, priceOracle)
	if err != nil {
		log.Fatalf("Failed to create enhanced parser: %v", err)
	}
	defer parser.Close()

	// Example 1: Parse a specific transaction
	exampleParseTransaction(parser)

	// Example 2: Parse a block
	exampleParseBlock(parser)

	// Example 3: Monitor real-time events
	exampleRealTimeMonitoring(parser)

	// Example 4: Analyze parser metrics
	exampleAnalyzeMetrics(parser)
}

// exampleParseTransaction demonstrates parsing a specific transaction
func exampleParseTransaction(parser *EnhancedDEXParser) {
	fmt.Println("=== Example: Parse Specific Transaction ===")

	// This would be a real transaction hash from Arbitrum
	// txHash := common.HexToHash("0x1234567890abcdef...")

	// For demonstration, we'll show the expected workflow:
	/*
		// Get transaction
		tx, receipt, err := getTransactionAndReceipt(txHash)
		if err != nil {
			log.Printf("Failed to get transaction: %v", err)
			return
		}

		// Parse transaction
		result, err := parser.ParseTransaction(tx, receipt)
		if err != nil {
			log.Printf("Failed to parse transaction: %v", err)
			return
		}

		// Display results
		fmt.Printf("Found %d DEX events:\n", len(result.Events))
		for i, event := range result.Events {
			fmt.Printf("Event %d:\n", i+1)
			fmt.Printf("  Protocol: %s\n", event.Protocol)
			fmt.Printf("  Type: %s\n", event.EventType)
			fmt.Printf("  Contract: %s\n", event.ContractAddress.Hex())
			if event.AmountIn != nil {
				fmt.Printf("  Amount In: %s\n", event.AmountIn.String())
			}
			if event.AmountOut != nil {
				fmt.Printf("  Amount Out: %s\n", event.AmountOut.String())
			}
			fmt.Printf("  Token In: %s\n", event.TokenInSymbol)
			fmt.Printf("  Token Out: %s\n", event.TokenOutSymbol)
			if event.AmountInUSD > 0 {
				fmt.Printf("  Value USD: $%.2f\n", event.AmountInUSD)
			}
			fmt.Printf("  Is MEV: %t\n", event.IsMEV)
			if event.IsMEV {
				fmt.Printf("    MEV Type: %s\n", event.MEVType)
				fmt.Printf("    Profit: $%.2f\n", event.ProfitUSD)
			}
			fmt.Println()
		}

		fmt.Printf("Discovered %d new pools\n", len(result.NewPools))
		fmt.Printf("Processing time: %dms\n", result.ProcessingTimeMs)
	*/

	fmt.Println("Transaction parsing example completed (placeholder)")
}

// exampleParseBlock demonstrates parsing an entire block
func exampleParseBlock(parser *EnhancedDEXParser) {
	fmt.Println("=== Example: Parse Block ===")

	// Parse a recent block (this would be a real block number)
	_ = uint64(200000000) // Example block number placeholder

	// Parse block
	/*
		result, err := parser.ParseBlock(blockNumber)
		if err != nil {
			log.Printf("Failed to parse block: %v", err)
			return
		}

		// Analyze results
		protocolCounts := make(map[Protocol]int)
		eventTypeCounts := make(map[EventType]int)
		totalVolumeUSD := 0.0
		mevCount := 0

		for _, event := range result.Events {
			protocolCounts[event.Protocol]++
			eventTypeCounts[event.EventType]++
			totalVolumeUSD += event.AmountInUSD
			if event.IsMEV {
				mevCount++
			}
		}

		fmt.Printf("Block %d Analysis:\n", blockNumber)
		fmt.Printf("  Total Events: %d\n", len(result.Events))
		fmt.Printf("  Total Volume: $%.2f\n", totalVolumeUSD)
		fmt.Printf("  MEV Events: %d\n", mevCount)
		fmt.Printf("  New Pools: %d\n", len(result.NewPools))
		fmt.Printf("  Errors: %d\n", len(result.Errors))

		fmt.Println("  Protocol Breakdown:")
		for protocol, count := range protocolCounts {
			fmt.Printf("    %s: %d events\n", protocol, count)
		}

		fmt.Println("  Event Type Breakdown:")
		for eventType, count := range eventTypeCounts {
			fmt.Printf("    %s: %d events\n", eventType, count)
		}
	*/

	fmt.Println("Block parsing example completed (placeholder)")
}

// exampleRealTimeMonitoring demonstrates real-time event monitoring
func exampleRealTimeMonitoring(parser *EnhancedDEXParser) {
	fmt.Println("=== Example: Real-Time Monitoring ===")

	// This would set up real-time monitoring
	/*
		ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
		defer cancel()

		// Subscribe to new blocks
		blockChan := make(chan uint64, 100)
		go subscribeToNewBlocks(ctx, blockChan) // This would be implemented

		// Process blocks as they arrive
		for {
			select {
			case blockNumber := <-blockChan:
				go func(bn uint64) {
					result, err := parser.ParseBlock(bn)
					if err != nil {
						log.Printf("Failed to parse block %d: %v", bn, err)
						return
					}

					// Filter for high-value or MEV events
					for _, event := range result.Events {
						if event.AmountInUSD > 10000 || event.IsMEV {
							log.Printf("High-value event detected: %s %s $%.2f",
								event.Protocol, event.EventType, event.AmountInUSD)

							if event.IsMEV {
								log.Printf("MEV opportunity: %s profit $%.2f",
									event.MEVType, event.ProfitUSD)
							}
						}
					}
				}(blockNumber)

			case <-ctx.Done():
				return
			}
		}
	*/

	fmt.Println("Real-time monitoring example completed (placeholder)")
}

// exampleAnalyzeMetrics demonstrates how to analyze parser performance
func exampleAnalyzeMetrics(parser *EnhancedDEXParser) {
	fmt.Println("=== Example: Parser Metrics Analysis ===")

	// Get current metrics
	metrics := parser.GetMetrics()

	fmt.Printf("Parser Performance Metrics:\n")
	fmt.Printf("  Uptime: %v\n", time.Since(metrics.StartTime))
	fmt.Printf("  Total Transactions Parsed: %d\n", metrics.TotalTransactionsParsed)
	fmt.Printf("  Total Events Parsed: %d\n", metrics.TotalEventsParsed)
	fmt.Printf("  Total Pools Discovered: %d\n", metrics.TotalPoolsDiscovered)
	fmt.Printf("  Parse Error Count: %d\n", metrics.ParseErrorCount)
	fmt.Printf("  Average Processing Time: %.2fms\n", metrics.AvgProcessingTimeMs)
	fmt.Printf("  Last Processed Block: %d\n", metrics.LastProcessedBlock)

	fmt.Println("  Protocol Breakdown:")
	for protocol, count := range metrics.ProtocolBreakdown {
		fmt.Printf("    %s: %d events\n", protocol, count)
	}

	fmt.Println("  Event Type Breakdown:")
	for eventType, count := range metrics.EventTypeBreakdown {
		fmt.Printf("    %s: %d events\n", eventType, count)
	}

	// Calculate error rate
	if metrics.TotalTransactionsParsed > 0 {
		errorRate := float64(metrics.ParseErrorCount) / float64(metrics.TotalTransactionsParsed) * 100
		fmt.Printf("  Error Rate: %.2f%%\n", errorRate)
	}

	// Performance assessment
	if metrics.AvgProcessingTimeMs < 100 {
		fmt.Println("  Performance: Excellent")
	} else if metrics.AvgProcessingTimeMs < 500 {
		fmt.Println("  Performance: Good")
	} else {
		fmt.Println("  Performance: Needs optimization")
	}
}

// IntegrationExample shows how to integrate with existing MEV bot architecture
func IntegrationExample() {
	fmt.Println("=== Integration with Existing MEV Bot ===")

	// This shows how the enhanced parser would integrate with the existing
	// MEV bot architecture described in the codebase

	/*
		// 1. Initialize enhanced parser
		config := DefaultEnhancedParserConfig()
		config.RPCEndpoint = "wss://arbitrum-mainnet.core.chainstack.com/your-api-key"

		logger := logger.New(logger.Config{Level: "info"})
		oracle := &oracle.PriceOracle{} // Initialize with actual oracle

		parser, err := NewEnhancedDEXParser(config, logger, oracle)
		if err != nil {
			log.Fatalf("Failed to create parser: %v", err)
		}
		defer parser.Close()

		// 2. Integrate with existing arbitrage detection
		// Replace the existing simple parser with enhanced parser in:
		// - pkg/market/pipeline.go
		// - pkg/monitor/concurrent.go
		// - pkg/scanner/concurrent.go

		// 3. Example integration point in market pipeline
		func (p *MarketPipeline) ProcessTransaction(tx *types.Transaction, receipt *types.Receipt) error {
			// Use enhanced parser instead of simple parser
			result, err := p.enhancedParser.ParseTransaction(tx, receipt)
			if err != nil {
				return fmt.Errorf("enhanced parsing failed: %w", err)
			}

			// Process each detected DEX event
			for _, event := range result.Events {
				// Convert to existing arbitrage opportunity format
				opportunity := &ArbitrageOpportunity{
					Protocol:     string(event.Protocol),
					TokenIn:      event.TokenIn,
					TokenOut:     event.TokenOut,
					AmountIn:     event.AmountIn,
					AmountOut:    event.AmountOut,
					ExpectedProfit: event.ProfitUSD,
					PoolAddress:  event.PoolAddress,
					Timestamp:    event.Timestamp,
				}

				// Apply existing arbitrage detection logic
				if p.isArbitrageOpportunity(opportunity) {
					p.opportunityChannel <- opportunity
				}
			}

			return nil
		}

		// 4. Enhanced MEV detection
		func (p *MarketPipeline) detectMEVOpportunities(events []*EnhancedDEXEvent) {
			for _, event := range events {
				if event.IsMEV {
					switch event.MEVType {
					case "arbitrage":
						p.handleArbitrageOpportunity(event)
					case "sandwich":
						p.handleSandwichOpportunity(event)
					case "liquidation":
						p.handleLiquidationOpportunity(event)
					}
				}
			}
		}

		// 5. Pool discovery integration
		func (p *PoolDiscovery) discoverNewPools() {
			// Use enhanced parser's pool discovery
			pools, err := p.enhancedParser.DiscoverPools(latestBlock-1000, latestBlock)
			if err != nil {
				p.logger.Error("Pool discovery failed", "error", err)
				return
			}

			for _, pool := range pools {
				// Add to existing pool registry
				p.addPool(pool)

				// Update pool cache
				p.poolCache.AddPool(pool)
			}
		}
	*/

	fmt.Println("Integration example completed (placeholder)")
}

// BenchmarkExample demonstrates performance testing
func BenchmarkExample() {
	fmt.Println("=== Performance Benchmark ===")

	/*
		// This would run performance benchmarks

		config := DefaultEnhancedParserConfig()
		config.MaxWorkers = 20
		config.EnableMetrics = true

		parser, _ := NewEnhancedDEXParser(config, logger, oracle)
		defer parser.Close()

		// Benchmark block parsing
		startTime := time.Now()
		blockCount := 1000

		for i := 0; i < blockCount; i++ {
			blockNumber := uint64(200000000 + i)
			_, err := parser.ParseBlock(blockNumber)
			if err != nil {
				log.Printf("Failed to parse block %d: %v", blockNumber, err)
			}
		}

		duration := time.Since(startTime)
		blocksPerSecond := float64(blockCount) / duration.Seconds()

		fmt.Printf("Benchmark Results:\n")
		fmt.Printf("  Blocks parsed: %d\n", blockCount)
		fmt.Printf("  Duration: %v\n", duration)
		fmt.Printf("  Blocks per second: %.2f\n", blocksPerSecond)

		metrics := parser.GetMetrics()
		fmt.Printf("  Average processing time: %.2fms\n", metrics.AvgProcessingTimeMs)
		fmt.Printf("  Total events found: %d\n", metrics.TotalEventsParsed)
	*/

	fmt.Println("Benchmark example completed (placeholder)")
}

// MonitoringDashboardExample shows how to create a monitoring dashboard
func MonitoringDashboardExample() {
	fmt.Println("=== Monitoring Dashboard ===")

	/*
		// This would create a real-time monitoring dashboard

		type DashboardMetrics struct {
			CurrentBlock        uint64
			EventsPerSecond     float64
			PoolsDiscovered     uint64
			MEVOpportunities    uint64
			TotalVolumeUSD      float64
			TopProtocols        map[Protocol]uint64
			ErrorRate           float64
			ProcessingLatency   time.Duration
		}

		func createDashboard(parser *EnhancedDEXParser) *DashboardMetrics {
			metrics := parser.GetMetrics()

			// Calculate events per second
			uptime := time.Since(metrics.StartTime).Seconds()
			eventsPerSecond := float64(metrics.TotalEventsParsed) / uptime

			// Calculate error rate
			errorRate := 0.0
			if metrics.TotalTransactionsParsed > 0 {
				errorRate = float64(metrics.ParseErrorCount) / float64(metrics.TotalTransactionsParsed) * 100
			}

			return &DashboardMetrics{
				CurrentBlock:        metrics.LastProcessedBlock,
				EventsPerSecond:     eventsPerSecond,
				PoolsDiscovered:     metrics.TotalPoolsDiscovered,
				TotalVolumeUSD:      calculateTotalVolume(metrics),
				TopProtocols:        metrics.ProtocolBreakdown,
				ErrorRate:           errorRate,
				ProcessingLatency:   time.Duration(metrics.AvgProcessingTimeMs) * time.Millisecond,
			}
		}

		// Display dashboard
		ticker := time.NewTicker(10 * time.Second)
		defer ticker.Stop()

		for range ticker.C {
			dashboard := createDashboard(parser)

			fmt.Printf("\n=== DEX Parser Dashboard ===\n")
			fmt.Printf("Current Block: %d\n", dashboard.CurrentBlock)
			fmt.Printf("Events/sec: %.2f\n", dashboard.EventsPerSecond)
			fmt.Printf("Pools Discovered: %d\n", dashboard.PoolsDiscovered)
			fmt.Printf("Total Volume: $%.2f\n", dashboard.TotalVolumeUSD)
			fmt.Printf("Error Rate: %.2f%%\n", dashboard.ErrorRate)
			fmt.Printf("Latency: %v\n", dashboard.ProcessingLatency)

			fmt.Println("Top Protocols:")
			for protocol, count := range dashboard.TopProtocols {
				if count > 0 {
					fmt.Printf("  %s: %d\n", protocol, count)
				}
			}
		}
	*/

	fmt.Println("Monitoring dashboard example completed (placeholder)")
}

// ProductionDeploymentExample shows production deployment considerations
func ProductionDeploymentExample() {
	fmt.Println("=== Production Deployment Guide ===")

	fmt.Println(`
Production Deployment Checklist:

1. Infrastructure Setup:
   - Use redundant RPC endpoints
   - Configure load balancing
   - Set up monitoring and alerting
   - Implement log aggregation
   - Configure auto-scaling

2. Configuration:
   - Set appropriate cache sizes based on memory
   - Configure worker pools based on CPU cores
   - Set reasonable timeouts and retries
   - Enable metrics and health checks
   - Configure database persistence

3. Security:
   - Secure RPC endpoints with authentication
   - Use environment variables for secrets
   - Implement rate limiting
   - Set up network security
   - Enable audit logging

4. Performance Optimization:
   - Profile memory usage
   - Monitor CPU utilization
   - Optimize database queries
   - Implement connection pooling
   - Use efficient data structures

5. Monitoring:
   - Set up Prometheus metrics
   - Configure Grafana dashboards
   - Implement alerting rules
   - Monitor error rates
   - Track performance metrics

6. Disaster Recovery:
   - Implement backup strategies
   - Set up failover mechanisms
   - Test recovery procedures
   - Document emergency procedures
   - Plan for data corruption scenarios

Example production configuration:

config := &EnhancedParserConfig{
    RPCEndpoint:           os.Getenv("ARBITRUM_RPC_ENDPOINT"),
    RPCTimeout:            45 * time.Second,
    MaxRetries:            5,
    EnabledProtocols:      allProtocols,
    MinLiquidityUSD:       500.0,
    MaxSlippageBps:        2000,
    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
	`)
}