using System.Diagnostics;
using Managing.Application.Abstractions;
using Managing.Application.Abstractions.Repositories;
using Managing.Application.Abstractions.Services;
using Managing.Application.Bots;
using Managing.Common;
using Managing.Domain.Backtests;
using Managing.Domain.Bots;
using Managing.Domain.Candles;
using Managing.Domain.Shared.Helpers;
using Managing.Domain.Strategies.Base;
using Managing.Domain.Users;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
using static Managing.Common.Enums;

namespace Managing.Application.Backtests;

/// <summary>
/// Signal caching optimization to reduce redundant calculations
/// </summary>
public class SignalCache
{
    private readonly Dictionary<int, Dictionary<IndicatorType, object>> _cachedSignals = new();
    private readonly int _cacheSize = 50; // Cache last N candle signals to balance memory vs performance
    private int _nextCacheKey = 0;

    public bool TryGetCachedSignal(int cacheKey, IndicatorType indicatorType, out object signal)
    {
        if (_cachedSignals.TryGetValue(cacheKey, out var candleSignals) &&
            candleSignals.TryGetValue(indicatorType, out signal))
        {
            return true;
        }

        signal = null;
        return false;
    }

    public int CacheSignal(IndicatorType indicatorType, object signal)
    {
        var cacheKey = _nextCacheKey++;
        if (!_cachedSignals.ContainsKey(cacheKey))
            _cachedSignals[cacheKey] = new Dictionary<IndicatorType, object>();

        _cachedSignals[cacheKey][indicatorType] = signal;

        // Maintain cache size - remove oldest entries
        if (_cachedSignals.Count > _cacheSize)
        {
            var oldestKey = _cachedSignals.Keys.Min();
            _cachedSignals.Remove(oldestKey);
        }

        return cacheKey;
    }

    public void Clear()
    {
        _cachedSignals.Clear();
        _nextCacheKey = 0;
    }
}

/// <summary>
/// Comprehensive telemetry data for backtest execution profiling
/// </summary>
public class BacktestTelemetry
{
    public long MemoryUsageAtStart { get; set; }
    public long MemoryUsageAtEnd { get; set; }
    public long PeakMemoryUsage { get; set; }
    public TimeSpan IndicatorPreCalculationTime { get; set; }
    public TimeSpan CandleProcessingTime { get; set; }
    public TimeSpan SignalUpdateTime { get; set; }
    public TimeSpan BacktestStepTime { get; set; }
    public TimeSpan ProgressCallbackTime { get; set; }
    public TimeSpan ResultCalculationTime { get; set; }
    public int TotalCandlesProcessed { get; set; }
    public int TotalSignalUpdates { get; set; }
    public int TotalBacktestSteps { get; set; }
    public int ProgressCallbacksCount { get; set; }
    public Dictionary<string, TimeSpan> OperationBreakdown { get; } = new();
}

/// <summary>
/// Service for executing backtests without Orleans dependencies.
/// Extracted from BacktestTradingBotGrain to be reusable in compute workers.
/// </summary>
public class BacktestExecutor
{
    private readonly ILogger<BacktestExecutor> _logger;
    private readonly IServiceScopeFactory _scopeFactory;
    private readonly IBacktestRepository _backtestRepository;
    private readonly IScenarioService _scenarioService;
    private readonly IAccountService _accountService;
    private readonly IMessengerService _messengerService;
    private readonly SignalCache _signalCache = new();

    public BacktestExecutor(
        ILogger<BacktestExecutor> logger,
        IServiceScopeFactory scopeFactory,
        IBacktestRepository backtestRepository,
        IScenarioService scenarioService,
        IAccountService accountService,
        IMessengerService messengerService)
    {
        _logger = logger;
        _scopeFactory = scopeFactory;
        _backtestRepository = backtestRepository;
        _scenarioService = scenarioService;
        _accountService = accountService;
        _messengerService = messengerService;
    }

    /// <summary>
    /// Executes a backtest with the given configuration and candles.
    /// </summary>
    /// <param name="config">The trading bot configuration</param>
    /// <param name="candles">The candles to use for backtesting</param>
    /// <param name="user">The user running the backtest</param>
    /// <param name="save">Whether to save the backtest result</param>
    /// <param name="withCandles">Whether to include candles in the result</param>
    /// <param name="requestId">The request ID to associate with this backtest</param>
    /// <param name="bundleRequestId">Optional bundle request ID to update with backtest result</param>
    /// <param name="metadata">Additional metadata</param>
    /// <param name="progressCallback">Optional callback for progress updates (0-100)</param>
    /// <param name="cancellationToken">Cancellation token to stop execution</param>
    /// <returns>The lightweight backtest result</returns>
    public async Task<LightBacktest> ExecuteAsync(
        TradingBotConfig config,
        IReadOnlyList<Candle> candles,
        User user,
        bool save = false,
        bool withCandles = false,
        string requestId = null,
        Guid? bundleRequestId = null,
        object metadata = null,
        Func<int, Task> progressCallback = null,
        CancellationToken cancellationToken = default)
    {
        if (candles == null || candles.Count == 0)
        {
            throw new Exception("No candle to backtest");
        }

        // Comprehensive telemetry setup
        var backtestStartTime = DateTime.UtcNow;
        var stopwatch = Stopwatch.StartNew();
        var telemetry = new BacktestTelemetry();

        // Initial memory snapshot
        var initialMemory = GC.GetTotalMemory(false);
        telemetry.MemoryUsageAtStart = initialMemory;

        _logger.LogInformation(
            "🚀 Backtest execution started - RequestId: {RequestId}, Candles: {CandleCount}, Memory: {MemoryMB:F2}MB",
            requestId ?? "N/A", candles.Count, initialMemory / 1024.0 / 1024.0);

        // Ensure user has accounts loaded
        if (user.Accounts == null || !user.Accounts.Any())
        {
            user.Accounts = (await _accountService.GetAccountsByUserAsync(user, hideSecrets: true, getBalance: false))
                .ToList();
        }

        // Create a fresh TradingBotBase instance for this backtest
        var tradingBot = CreateTradingBotInstance(config);
        var account = user.Accounts.First();
        account.User = user; // Ensure Account.User is set for backtest
        tradingBot.Account = account;

        var totalCandles = candles.Count;
        var currentCandle = 0;
        var lastLoggedPercentage = 0;

        _logger.LogInformation("Backtest requested by {UserId} with {TotalCandles} candles for {Ticker} on {Timeframe}",
            user.Id, totalCandles, config.Ticker, config.Timeframe);

        // Pre-calculate indicator values once for all candles to optimize performance
        // This avoids recalculating indicators for every candle iteration
        Dictionary<IndicatorType, IndicatorsResultBase> preCalculatedIndicatorValues = null;
        if (config.Scenario != null && false)
        {
            var indicatorCalcStart = Stopwatch.GetTimestamp();

            try
            {
                _logger.LogInformation("⚡ Pre-calculating indicator values for {IndicatorCount} indicators",
                    config.Scenario.Indicators?.Count ?? 0);

                // Convert LightScenario to Scenario for CalculateIndicatorsValues
                var scenario = config.Scenario.ToScenario();

                // Calculate all indicator values once with all candles
                preCalculatedIndicatorValues = TradingBox.CalculateIndicatorsValues(scenario, candles);
                telemetry.IndicatorPreCalculationTime = Stopwatch.GetElapsedTime(indicatorCalcStart);
                _logger.LogInformation(
                    "✅ Successfully pre-calculated indicator values for {IndicatorCount} indicator types in {Duration:F2}ms",
                    preCalculatedIndicatorValues?.Count ?? 0, telemetry.IndicatorPreCalculationTime.TotalMilliseconds);
            }
            catch (Exception ex)
            {
                telemetry.IndicatorPreCalculationTime = Stopwatch.GetElapsedTime(indicatorCalcStart);
                _logger.LogWarning(ex,
                    "❌ Failed to pre-calculate indicator values in {Duration:F2}ms, will calculate on-the-fly. Error: {ErrorMessage}",
                    telemetry.IndicatorPreCalculationTime.TotalMilliseconds, ex.Message);
                // Continue with normal calculation if pre-calculation fails
                preCalculatedIndicatorValues = null;
            }
        }

        // Initialize wallet balance with first candle
        tradingBot.WalletBalances.Clear();
        tradingBot.WalletBalances.Add(candles.FirstOrDefault()!.Date, config.BotTradingBalance);
        var initialBalance = config.BotTradingBalance;

        // Pre-allocate and populate candle structures for maximum performance
        var orderedCandles = candles.ToList();

        // Skip pre-calculated signals - the approach was flawed and caused performance regression
        // The signal calculation depends on rolling window state and cannot be pre-calculated effectively

        // Use optimized rolling window approach - TradingBox.GetSignal only needs last 600 candles
        // Use List<Candle> directly to preserve chronological order and enable incremental updates
        const int RollingWindowSize = 600; // TradingBox.GetSignal only needs last 600 candles
        var rollingWindowCandles = new List<Candle>(RollingWindowSize); // Pre-allocate capacity for performance
        var candlesProcessed = 0;

        // Signal caching optimization - reduce signal update frequency for better performance
        var signalUpdateSkipCount = 0;

        var lastProgressUpdate = DateTime.UtcNow;
        const int progressUpdateIntervalMs = 5000; // Update progress every 5 seconds to reduce database load
        const int walletCheckInterval = 10; // Check wallet balance every N candles instead of every candle
        var lastWalletCheck = 0;
        var lastWalletBalance = config.BotTradingBalance;

        // Track memory usage during processing
        var peakMemory = initialMemory;
        const int memoryCheckInterval = 100; // Check memory every N candles to reduce GC.GetTotalMemory overhead
        var lastMemoryCheck = 0;

        // Start timing the candle processing loop
        var candleProcessingStart = Stopwatch.GetTimestamp();
        var signalUpdateTotalTime = TimeSpan.Zero;
        var backtestStepTotalTime = TimeSpan.Zero;
        var progressCallbackTotalTime = TimeSpan.Zero;

        _logger.LogInformation("🔄 Starting candle processing for {CandleCount} candles", orderedCandles.Count);

        // Process all candles with optimized rolling window approach
        foreach (var candle in orderedCandles)
        {
            // Check for cancellation (timeout or shutdown)
            cancellationToken.ThrowIfCancellationRequested();

            // Maintain rolling window of last 600 candles to prevent exponential memory growth
            // Incremental updates: remove oldest if at capacity, then add newest
            // This preserves chronological order and avoids expensive HashSet recreation
            if (rollingWindowCandles.Count >= RollingWindowSize)
            {
                rollingWindowCandles.RemoveAt(0); // Remove oldest candle (O(n) but only 600 items max)
            }
            rollingWindowCandles.Add(candle); // Add newest candle (O(1) amortized)

            tradingBot.LastCandle = candle;

            // Run with optimized backtest path (minimize async calls)
            var signalUpdateStart = Stopwatch.GetTimestamp();
            // Pass List<Candle> directly - no conversion needed, order is preserved
            await tradingBot.UpdateSignals(rollingWindowCandles, preCalculatedIndicatorValues);
            signalUpdateTotalTime += Stopwatch.GetElapsedTime(signalUpdateStart);

            var backtestStepStart = Stopwatch.GetTimestamp();
            await tradingBot.Run();
            backtestStepTotalTime += Stopwatch.GetElapsedTime(backtestStepStart);

            telemetry.TotalBacktestSteps++;

            currentCandle++;
            candlesProcessed++;

            // Optimized wallet balance check - only check every N candles and cache result
            if (currentCandle - lastWalletCheck >= walletCheckInterval)
            {
                lastWalletBalance = tradingBot.WalletBalances.Values.LastOrDefault();
                lastWalletCheck = currentCandle;

                if (lastWalletBalance < Constants.GMX.Config.MinimumPositionAmount)
                {
                    _logger.LogWarning(
                        "Backtest stopped early: Wallet balance fell below {MinimumPositionAmount} USDC (Current: {CurrentBalance:F2} USDC) at candle {CurrentCandle}/{TotalCandles} from {CandleDate}",
                        Constants.GMX.Config.MinimumPositionAmount, lastWalletBalance, currentCandle, totalCandles,
                        candle.Date.ToString("yyyy-MM-dd HH:mm"));
                    break;
                }
            }

            // Update progress callback if provided (optimized frequency)
            var currentPercentage = (currentCandle * 100) / totalCandles;
            var timeSinceLastUpdate = (DateTime.UtcNow - lastProgressUpdate).TotalMilliseconds;
            if (progressCallback != null && (timeSinceLastUpdate >= progressUpdateIntervalMs ||
                                             currentPercentage >= lastLoggedPercentage + 10))
            {
                var progressCallbackStart = Stopwatch.GetTimestamp();
                try
                {
                    await progressCallback(currentPercentage);
                    telemetry.ProgressCallbacksCount++;
                }
                catch (Exception ex)
                {
                    _logger.LogWarning(ex, "Error in progress callback");
                }

                progressCallbackTotalTime += Stopwatch.GetElapsedTime(progressCallbackStart);
                lastProgressUpdate = DateTime.UtcNow;
            }

            // Track peak memory usage (reduced frequency to minimize GC overhead)
            if (currentCandle - lastMemoryCheck >= memoryCheckInterval)
            {
                var currentMemory = GC.GetTotalMemory(false);
                if (currentMemory > peakMemory)
                {
                    peakMemory = currentMemory;
                }

                lastMemoryCheck = currentCandle;
            }

            // Log progress every 10% (reduced frequency)
            if (currentPercentage >= lastLoggedPercentage + 10)
            {
                lastLoggedPercentage = currentPercentage;
                _logger.LogInformation(
                    "Backtest progress: {Percentage}% ({CurrentCandle}/{TotalCandles} candles processed)",
                    currentPercentage, currentCandle, totalCandles);
            }
        }

        // Complete candle processing telemetry
        telemetry.CandleProcessingTime = Stopwatch.GetElapsedTime(candleProcessingStart);
        telemetry.SignalUpdateTime = signalUpdateTotalTime;
        telemetry.BacktestStepTime = backtestStepTotalTime;
        telemetry.ProgressCallbackTime = progressCallbackTotalTime;
        telemetry.TotalCandlesProcessed = candlesProcessed;

        _logger.LogInformation("✅ Backtest processing completed. Calculating final results...");

        // Start result calculation timing
        var resultCalculationStart = Stopwatch.GetTimestamp();

        // Calculate final results using static methods from TradingBox
        var realizedPnl = TradingBox.GetTotalRealizedPnL(tradingBot.Positions); // PnL before fees
        var netPnl = TradingBox.GetTotalNetPnL(tradingBot.Positions); // PnL after fees
        var winRate = TradingBox.GetWinRate(tradingBot.Positions);
        var stats = TradingBox.GetStatistics(tradingBot.WalletBalances);
        var growthPercentage =
            TradingBox.GetGrowthFromInitalBalance(tradingBot.WalletBalances.FirstOrDefault().Value, netPnl);
        var hodlPercentage = TradingBox.GetHodlPercentage(candles.First(), candles.Last());

        var fees = TradingBox.GetTotalFees(tradingBot.Positions);
        var scoringParams = new BacktestScoringParams(
            sharpeRatio: (double)stats.SharpeRatio,
            growthPercentage: (double)growthPercentage,
            hodlPercentage: (double)hodlPercentage,
            winRate: winRate,
            totalPnL: (double)netPnl,
            fees: (double)fees,
            tradeCount: tradingBot.Positions.Count,
            maxDrawdownRecoveryTime: stats.MaxDrawdownRecoveryTime,
            maxDrawdown: stats.MaxDrawdown,
            initialBalance: tradingBot.WalletBalances.FirstOrDefault().Value,
            tradingBalance: config.BotTradingBalance,
            startDate: candles.First().Date,
            endDate: candles.Last().Date,
            timeframe: config.Timeframe,
            moneyManagement: config.MoneyManagement
        );

        var scoringResult = BacktestScorer.CalculateDetailedScore(scoringParams);

        // Complete result calculation telemetry
        telemetry.ResultCalculationTime = Stopwatch.GetElapsedTime(resultCalculationStart);

        // Final memory snapshot
        var finalMemory = GC.GetTotalMemory(false);
        telemetry.MemoryUsageAtEnd = finalMemory;
        telemetry.PeakMemoryUsage = peakMemory;

        // Generate requestId if not provided
        var finalRequestId = requestId != null ? Guid.Parse(requestId) : Guid.NewGuid();

        // Create backtest result with conditional candles and indicators values
        var result = new Backtest(config, tradingBot.Positions, tradingBot.Signals)
        {
            FinalPnl = realizedPnl, // Realized PnL before fees
            WinRate = winRate,
            GrowthPercentage = growthPercentage,
            HodlPercentage = hodlPercentage,
            Fees = fees,
            Statistics = stats,
            Score = scoringResult.Score,
            ScoreMessage = scoringResult.GenerateSummaryMessage(),
            Id = Guid.NewGuid().ToString(),
            RequestId = finalRequestId,
            Metadata = metadata,
            StartDate = candles.FirstOrDefault()!.OpenTime,
            EndDate = candles.LastOrDefault()!.OpenTime,
            InitialBalance = initialBalance,
            NetPnl = netPnl, // Net PnL after fees
            PositionCount = tradingBot.Positions.Count,
        };

        if (save && user != null)
        {
            await _backtestRepository.InsertBacktestForUserAsync(user, result);
        }

        // Send notification if backtest meets criteria
        await SendBacktestNotificationIfCriteriaMet(result);

        // Stop overall timing
        stopwatch.Stop();
        var totalExecutionTime = stopwatch.Elapsed;

        // Comprehensive performance telemetry logging
        _logger.LogInformation("📊 === BACKTEST PERFORMANCE TELEMETRY ===");
        _logger.LogInformation("⏱️  Total Execution Time: {TotalTime:F2}s", totalExecutionTime.TotalSeconds);
        _logger.LogInformation("📈 Candles Processed: {Candles} ({CandlesPerSecond:F1} candles/sec)",
            telemetry.TotalCandlesProcessed, telemetry.TotalCandlesProcessed / totalExecutionTime.TotalSeconds);

        _logger.LogInformation("💾 Memory Usage: Start={StartMB:F2}MB, End={EndMB:F2}MB, Peak={PeakMB:F2}MB",
            telemetry.MemoryUsageAtStart / 1024.0 / 1024.0,
            telemetry.MemoryUsageAtEnd / 1024.0 / 1024.0,
            telemetry.PeakMemoryUsage / 1024.0 / 1024.0);

        _logger.LogInformation("⚡ Operation Breakdown:");
        _logger.LogInformation("   • Indicator Pre-calculation: {Time:F2}ms ({Percentage:F1}%)",
            telemetry.IndicatorPreCalculationTime.TotalMilliseconds,
            telemetry.IndicatorPreCalculationTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100);
        _logger.LogInformation("   • Candle Processing: {Time:F2}ms ({Percentage:F1}%)",
            telemetry.CandleProcessingTime.TotalMilliseconds,
            telemetry.CandleProcessingTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100);
        _logger.LogInformation(
            "   • Signal Updates: {Time:F2}ms ({Percentage:F1}%) - {Count} updates, {SkipCount} skipped ({Efficiency:F1}% efficiency)",
            telemetry.SignalUpdateTime.TotalMilliseconds,
            telemetry.SignalUpdateTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100,
            telemetry.TotalSignalUpdates,
            signalUpdateSkipCount,
            signalUpdateSkipCount > 0
                ? (double)signalUpdateSkipCount / (telemetry.TotalSignalUpdates + signalUpdateSkipCount) * 100
                : 0);
        _logger.LogInformation("   • Backtest Steps: {Time:F2}ms ({Percentage:F1}%) - {Count} steps",
            telemetry.BacktestStepTime.TotalMilliseconds,
            telemetry.BacktestStepTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100,
            telemetry.TotalBacktestSteps);
        _logger.LogInformation("   • Progress Callbacks: {Time:F2}ms ({Percentage:F1}%) - {Count} calls",
            telemetry.ProgressCallbackTime.TotalMilliseconds,
            telemetry.ProgressCallbackTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100,
            telemetry.ProgressCallbacksCount);
        _logger.LogInformation("   • Result Calculation: {Time:F2}ms ({Percentage:F1}%)",
            telemetry.ResultCalculationTime.TotalMilliseconds,
            telemetry.ResultCalculationTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds * 100);

        // Performance insights
        var signalUpdateAvg = telemetry.TotalSignalUpdates > 0
            ? telemetry.SignalUpdateTime.TotalMilliseconds / telemetry.TotalSignalUpdates
            : 0;
        var backtestStepAvg = telemetry.TotalBacktestSteps > 0
            ? telemetry.BacktestStepTime.TotalMilliseconds / telemetry.TotalBacktestSteps
            : 0;

        _logger.LogInformation("🔍 Performance Insights:");
        _logger.LogInformation("   • Average Signal Update: {Avg:F2}ms per update", signalUpdateAvg);
        _logger.LogInformation("   • Average Backtest Step: {Avg:F2}ms per step", backtestStepAvg);
        _logger.LogInformation("   • Memory Efficiency: {Efficiency:F2}MB per 1000 candles",
            (telemetry.PeakMemoryUsage - telemetry.MemoryUsageAtStart) / 1024.0 / 1024.0 /
            (telemetry.TotalCandlesProcessed / 1000.0));

        // Identify potential bottlenecks
        var bottlenecks = new List<string>();
        if (telemetry.SignalUpdateTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds > 0.5)
            bottlenecks.Add("Signal Updates");
        if (telemetry.BacktestStepTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds > 0.3)
            bottlenecks.Add("Backtest Steps");
        if (telemetry.IndicatorPreCalculationTime.TotalMilliseconds / totalExecutionTime.TotalMilliseconds > 0.2)
            bottlenecks.Add("Indicator Pre-calculation");

        if (bottlenecks.Any())
        {
            _logger.LogWarning("⚠️  Performance Bottlenecks Detected: {Bottlenecks}",
                string.Join(", ", bottlenecks));
        }

        _logger.LogInformation(
            "🎯 Backtest completed successfully - RequestId: {RequestId} - Score: {Score} - Realized PnL: {RealizedPnl} - Net PnL: {NetPnl} - Fees: {Fees}",
            finalRequestId, result.Score, result.FinalPnl, result.NetPnl, result.Fees);

        // Convert Backtest to LightBacktest
        return ConvertToLightBacktest(result);
    }

    /// <summary>
    /// Pre-calculates all signals for the entire backtest period
    /// This eliminates repeated GetSignal() calls during the backtest loop
    /// </summary>
    /// <summary>
    /// Converts a Backtest to LightBacktest
    /// </summary>
    private LightBacktest ConvertToLightBacktest(Backtest backtest)
    {
        return new LightBacktest
        {
            Id = backtest.Id,
            Config = backtest.Config,
            FinalPnl = backtest.FinalPnl,
            WinRate = backtest.WinRate,
            GrowthPercentage = backtest.GrowthPercentage,
            HodlPercentage = backtest.HodlPercentage,
            StartDate = backtest.StartDate,
            EndDate = backtest.EndDate,
            MaxDrawdown = backtest.Statistics?.MaxDrawdown,
            Fees = backtest.Fees,
            SharpeRatio = (double?)backtest.Statistics?.SharpeRatio,
            Score = backtest.Score,
            ScoreMessage = backtest.ScoreMessage,
            InitialBalance = backtest.InitialBalance,
            NetPnl = backtest.NetPnl,
            PositionCount = backtest.PositionCount
        };
    }

    /// <summary>
    /// Creates a TradingBotBase instance for backtesting
    /// </summary>
    private TradingBotBase CreateTradingBotInstance(TradingBotConfig config)
    {
        // Validate configuration for backtesting
        if (config == null)
        {
            throw new InvalidOperationException("Bot configuration is not initialized");
        }

        if (config.TradingType != TradingType.BacktestFutures && config.TradingType != TradingType.BacktestSpot)
        {
            throw new InvalidOperationException($"BacktestExecutor can only be used for backtesting. TradingType must be BacktestFutures or BacktestSpot, but got {config.TradingType}");
        }

        // Create the trading bot instance based on TradingType
        using var scope = _scopeFactory.CreateScope();
        var logger = scope.ServiceProvider.GetRequiredService<ILogger<TradingBotBase>>();
        
        TradingBotBase tradingBot = config.TradingType switch
        {
            TradingType.BacktestFutures => new BacktestFuturesBot(logger, _scopeFactory, config),
            TradingType.BacktestSpot => new BacktestSpotBot(logger, _scopeFactory, config),
            _ => throw new InvalidOperationException($"Unsupported TradingType for backtest: {config.TradingType}")
        };
        
        return tradingBot;
    }

    /// <summary>
    /// Sends notification if backtest meets criteria
    /// </summary>
    private async Task SendBacktestNotificationIfCriteriaMet(Backtest backtest)
    {
        try
        {
            if (backtest.Score > 65 && backtest.Statistics.SharpeRatio >= 0.01m)
            {
                await _messengerService.SendBacktestNotification(backtest);
            }
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Failed to send backtest notification for backtest {Id}", backtest.Id);
        }
    }
}