using Microsoft.EntityFrameworkCore;
using PowderCoating.Core.Entities;

namespace PowderCoating.Infrastructure.Services;

public partial class SeedDataService
{
    /// <summary>
    /// Seeds 8 <see cref="AiItemPrediction"/> demo records and attaches them to the first
    /// 8 eligible <see cref="QuoteItem"/> records, marking those items as AI-analysed.
    /// </summary>
    /// <remarks>
    /// <para>
    /// "Eligible" means <c>SurfaceAreaSqFt &gt; 0</c>, not a labor item, and not already
    /// linked to a prediction. This ensures the seeder is safe to run even if a partial seed
    /// left some items pre-linked.
    /// </para>
    /// <para>
    /// Each prediction record captures a realistic AI analysis: predicted surface area,
    /// estimated minutes, complexity tier, unit price, confidence level, reasoning text, and
    /// comma-separated AI tags. Three of the eight items have <c>UserOverrodeEstimate = true</c>
    /// to demonstrate the override-tracking feature on the AI Accuracy report.
    /// </para>
    /// <para>
    /// Items are updated in-place with <c>IsAiItem = true</c> and the FK
    /// <c>AiPredictionId</c> pointing to the new prediction. <c>SaveChangesAsync</c> is called
    /// per item so any single FK conflict (unlikely in a fresh seed) does not abort the others.
    /// </para>
    /// Idempotency: returns 0 immediately if any AiItemPrediction records already exist for
    /// the company.
    /// </remarks>
    /// <param name="company">The tenant company to seed predictions for.</param>
    /// <returns>Number of prediction records inserted, or 0 if already seeded.</returns>
    private async Task<int> SeedAiPredictionsAsync(Company company)
    {
        var existingCount = await _context.Set<AiItemPrediction>()
            .IgnoreQueryFilters()
            .CountAsync(p => p.CompanyId == company.Id && !p.IsDeleted);

        if (existingCount > 0)
            return 0;

        // Grab the first 8 eligible quote items ordered by id for determinism
        var quoteItems = await _context.Set<QuoteItem>()
            .IgnoreQueryFilters()
            .Include(qi => qi.Quote)
            .Where(qi => qi.CompanyId == company.Id
                      && !qi.IsDeleted
                      && qi.SurfaceAreaSqFt > 0
                      && !qi.IsLaborItem
                      && qi.AiPredictionId == null)
            .OrderBy(qi => qi.Id)
            .Take(8)
            .ToListAsync();

        if (quoteItems.Count == 0)
            return 0;

        // Per-slot prediction specs — deterministic, varied across complexity/confidence tiers.
        // PredictedSqFt is intentionally close but NOT identical to the actual item SqFt so the
        // AI Accuracy report shows realistic prediction deltas.
        var specs = new[]
        {
            // slot 0 — complex automotive, AI nailed it
            ( sqft: 13.5m,  mins: 88,  complexity: "Complex",  confidence: "High",
              price: 125.00m, tags: "automotive,tubular,custom",   rounds: 1, overrode: false,
              reasoning: "Detected a tubular motorcycle frame with multiple weld joints. High complexity due to intricate geometry and masking requirements around bearing surfaces. Confidence high — similar frames appear frequently in training data." ),

            // slot 1 — wheel set, quick read, accepted as-is
            ( sqft: 11.2m,  mins: 42,  complexity: "Simple",   confidence: "High",
              price:  98.00m, tags: "automotive,wheels,aluminum", rounds: 1, overrode: false,
              reasoning: "Four aluminum wheels, uniform shape, minimal masking needed. Straightforward batch candidate for the main oven. Estimated surface area based on standard 18\" wheel profile." ),

            // slot 2 — bumper job, user bumped sqft slightly
            ( sqft: 14.8m,  mins: 62,  complexity: "Moderate", confidence: "Medium",
              price: 135.00m, tags: "automotive,bumper,off-road",  rounds: 2, overrode: true,
              reasoning: "Steel off-road bumper and rock sliders. Moderate complexity — flat stock with mounting tabs. Second image round requested for accurate rock slider dimensions. User adjusted surface area slightly after physical measurement." ),

            // slot 3 — large gate, low confidence, user corrected price
            ( sqft: 34.2m,  mins: 195, complexity: "Complex",  confidence: "Low",
              price: 310.00m, tags: "architectural,gate,ornamental", rounds: 2, overrode: true,
              reasoning: "Wrought iron entry gate with decorative scrollwork. Low confidence due to depth ambiguity in photos — scrollwork surface area is difficult to estimate from images alone. Recommend physical measurement before finalising price. User overrode unit price after measuring on-site." ),

            // slot 4 — patio furniture, solid read
            ( sqft: 22.8m,  mins: 52,  complexity: "Moderate", confidence: "High",
              price: 195.00m, tags: "furniture,outdoor,patio",     rounds: 1, overrode: false,
              reasoning: "Six-piece patio furniture set: four chairs, one table, one side table. Powder-coated tubular steel, standard outdoor finish. Good photo coverage — confidence high. Recommend Textured Beige or Satin Bronze for exterior durability." ),

            // slot 5 — handrail, accepted price
            ( sqft: 39.0m,  mins: 118, complexity: "Moderate", confidence: "High",
              price: 342.00m, tags: "architectural,handrail,railing", rounds: 1, overrode: false,
              reasoning: "40-foot steel handrail system, square tube construction. Consistent profile makes area calculation straightforward. Standard Gloss Black most common finish for this application — confirmed with customer." ),

            // slot 6 — brake calipers, small & simple
            ( sqft:  3.8m,  mins: 30,  complexity: "Simple",   confidence: "High",
              price:  65.00m, tags: "automotive,brake,caliper",    rounds: 1, overrode: false,
              reasoning: "Set of four brake calipers, cast iron with machined mating surfaces. Masking required on piston bores and bleed nipples. Candy Red most requested finish. High confidence — calipers are a common item with well-established pricing." ),

            // slot 7 — bicycle frame, two-round conversation
            ( sqft:  6.1m,  mins: 65,  complexity: "Moderate", confidence: "Medium",
              price:  82.00m, tags: "recreational,bicycle,frame",  rounds: 2, overrode: true,
              reasoning: "Road bicycle frame, aluminium alloy. Second image round needed to assess cable routing channels and dropout geometry. Moderate complexity due to small-radius bends. User adjusted surface area after AI initially underestimated top-tube length." )
        };

        var seeded = 0;

        for (int i = 0; i < quoteItems.Count && i < specs.Length; i++)
        {
            var item = quoteItems[i];
            var s    = specs[i];

            var prediction = new AiItemPrediction
            {
                PredictedSurfaceAreaSqFt = s.sqft,
                PredictedMinutes         = s.mins,
                PredictedComplexity      = s.complexity,
                PredictedUnitPrice       = s.price,
                Confidence               = s.confidence,
                Reasoning                = s.reasoning,
                AiTags                   = s.tags,
                ConversationRounds       = s.rounds,
                UserOverrodeEstimate     = s.overrode,
                CompanyId                = company.Id,
                CreatedAt                = item.CreatedAt
            };

            await _context.Set<AiItemPrediction>().AddAsync(prediction);
            await _context.SaveChangesAsync();
            seeded++;

            // Mark the quote item as AI-analysed and link the prediction
            item.IsAiItem       = true;
            item.AiPredictionId = prediction.Id;
            item.AiTags         = s.tags;
            await _context.SaveChangesAsync();
        }

        return seeded;
    }
}