using System;
using System.Text.Json;
using System.Threading;
using System.Threading.Tasks;
using FinlyticAnalyzer.Database;
using FinlyticAnalyzer.Entities;
using FinlyticAnalyzer.Services;
using FinlyticCore.Models.Analyzer;
using FinlyticCore.Models.Trades;
using Microsoft.AspNetCore.Mvc;
using Microsoft.EntityFrameworkCore;
using Microsoft.Extensions.Logging;

namespace FinlyticAnalyzer.Controllers;

public class ManualAnalysisRequest
{
    public string Symbol { get; set; } = string.Empty;
    public string Isin { get; set; } = string.Empty;
    public string Sector { get; set; } = "Technology";
    public string Headline { get; set; } = "Manual User Request";
    public decimal CurrentPrice { get; set; } = 100.0m;
    public int RiskScore { get; set; } = 50; // 0 to 100
    public int MinTimeframeValue { get; set; } = 4;
    public int MaxTimeframeValue { get; set; } = 6;
    public string TimeframeUnit { get; set; } = "Tage";
    public string InstrumentType { get; set; } = "Stock";
    public string UserNotes { get; set; } = string.Empty;
}

[ApiController]
[Route("api/v1/analyze")]
public class ManualAnalysisController : ControllerBase
{
    private readonly IVixTrackerService _vixTracker;
    private readonly IN8nEvaluationService _n8nService;
    private readonly IWinRateCalculator _winRateCalculator;
    private readonly AnalyzerDbContext _dbContext;
    private readonly ILogger<ManualAnalysisController> _logger;

    public ManualAnalysisController(
        IVixTrackerService vixTracker,
        IN8nEvaluationService n8nService,
        IWinRateCalculator winRateCalculator,
        AnalyzerDbContext dbContext,
        ILogger<ManualAnalysisController> logger)
    {
        _vixTracker = vixTracker;
        _n8nService = n8nService;
        _winRateCalculator = winRateCalculator;
        _dbContext = dbContext;
        _logger = logger;
    }

    /// <summary>
    /// Runs a manual analysis based on the provided request.
    /// </summary>
    [HttpPost("manual")]
    public async Task<IActionResult> RunManualAnalysis([FromBody] ManualAnalysisRequest request, CancellationToken cancellationToken)
    {
        if (string.IsNullOrWhiteSpace(request.Symbol) && string.IsNullOrWhiteSpace(request.Isin))
        {
            return BadRequest(new { error = "Symbol or ISIN is required." });
        }

        var regime = _vixTracker.GetCurrentRegime();
        var currentVix = _vixTracker.GetCurrentVix();
        string analysisId = Guid.NewGuid().ToString("N");
        double winRate = _winRateCalculator.CalculateWinRate(request.Sector, request.Symbol, regime);

        string riskLabel = request.RiskScore > 70 ? $"Aggressiv ({request.RiskScore}/100)" : (request.RiskScore > 30 ? $"Balanced ({request.RiskScore}/100)" : $"Konservativ ({request.RiskScore}/100)");
        string timeframeFormatted = $"{request.MinTimeframeValue}-{request.MaxTimeframeValue} {request.TimeframeUnit}";

        var n8nRequest = new N8nAnalysisRequestDto
        {
            RequestId = analysisId,
            Timestamp = DateTime.UtcNow,
            TriggerType = "Manual",
            TargetAsset = new TargetAssetInfo
            {
                Symbol = request.Symbol.ToUpperInvariant(),
                Isin = request.Isin.ToUpperInvariant(),
                Sector = request.Sector
            },
            MarketContext = new MarketContextInfo
            {
                Vix = currentVix,
                MarketRegime = regime.ToString()
            },
            FilterContext = new FilterContextInfo
            {
                ImpactScore = 1.0,
                RawNewsHeadline = string.IsNullOrWhiteSpace(request.Headline) ? "Manual User Trigger" : request.Headline
            },
            UserPreferences = new UserPreferencesInfo
            {
                RiskScore = request.RiskScore,
                RiskTolerance = riskLabel,
                MinTimeframeValue = request.MinTimeframeValue,
                MaxTimeframeValue = request.MaxTimeframeValue,
                TimeframeUnit = request.TimeframeUnit,
                TimeframeFormatted = timeframeFormatted,
                InstrumentType = request.InstrumentType,
                UserNotes = request.UserNotes
            },
            TradeFeedback = new TradeFeedbackInfo
            {
                TotalAssetTrades = 12,
                AssetWinRate = winRate,
                AvgReturnPercent = 3.4,
                LastTradeResult = "WIN"
            }
        };

        var n8nResponse = await _n8nService.EvaluateAssetAsync(n8nRequest, cancellationToken);
        bool shouldProceed = n8nResponse != null && string.Equals(n8nResponse.AiDecision, "Proceed", StringComparison.OrdinalIgnoreCase);

        TradeProposalDto? proposal = null;
        if (shouldProceed && n8nResponse != null)
        {
            proposal = new TradeProposalDto
            {
                AnalysisId = analysisId,
                EventId = analysisId,
                Sector = request.Sector,
                Symbol = request.Symbol.ToUpperInvariant(),
                Isin = request.Isin.ToUpperInvariant(),
                CompanyName = request.Symbol,
                EntryPrice = request.CurrentPrice,
                SignalType = string.Equals(n8nResponse.SuggestedDirection, "Short", StringComparison.OrdinalIgnoreCase) ? "SELL" : "BUY",
                RiskTolerance = n8nResponse.SuggestedRisk,
                Timeframe = timeframeFormatted,
                InstrumentType = request.InstrumentType,
                WinRate = winRate,
                VixRegime = regime,
                VixValue = currentVix,
                TtlMinutes = 60,
                Reasoning = $"Manual n8n Evaluation ({n8nResponse.AiDecision}): {n8nResponse.AiReasoning}",
                CreatedAt = DateTime.UtcNow
            };
        }

        var analysisEntity = new AnalysisEntity
        {
            AnalysisId = analysisId,
            EventId = analysisId,
            Sector = request.Sector,
            Symbol = request.Symbol.ToUpperInvariant(),
            Isin = request.Isin.ToUpperInvariant(),
            VixRegime = regime,
            VixValue = currentVix,
            ImpactScore = 1.0,
            WinRate = winRate,
            RawDataJson = JsonSerializer.Serialize(request),
            AiOutputJson = proposal != null ? JsonSerializer.Serialize(proposal) : "{}",
            N8nResponseJson = n8nResponse != null ? JsonSerializer.Serialize(n8nResponse) : "{}",
            N8nEvalScore = n8nResponse?.EvalScore ?? 0,
            N8nDecision = n8nResponse?.AiDecision ?? "Rejected",
            IsTradeProposed = shouldProceed,
            CreatedAt = DateTime.UtcNow
        };

        _dbContext.Analyses.Add(analysisEntity);
        await _dbContext.SaveChangesAsync(cancellationToken);

        if (!shouldProceed)
        {
            return Ok(new
            {
                analysisId,
                isTradeProposed = false,
                status = "Rejected",
                recommendation = "NOT_RECOMMENDED",
                reasoning = n8nResponse?.AiReasoning ?? "Die KI stuft diesen Trade als zu riskant ein und empfiehlt keine Positionierung.",
                n8nResponse,
                proposal = (object?)null
            });
        }

        return Ok(new
        {
            analysisId,
            isTradeProposed = true,
            status = "Success",
            recommendation = "RECOMMENDED",
            n8nResponse,
            proposal
        });
    }
}