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namespace PowderCoating.Application.DTOs.AI;
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/// <summary>Request payload sent from JS wizard to the AiAnalyzeItem endpoint.</summary>
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public class AiAnalyzeItemRequest
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{
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/// <summary>TempIds of already-uploaded photos.</summary>
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public List<string> PhotoTempIds { get; set; } = new();
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// User-supplied context
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public string ReferenceDimension { get; set; } = string.Empty; // e.g. "longest edge is 18 inches"
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public int Quantity { get; set; } = 1;
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public string DesiredColor { get; set; } = string.Empty;
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public int CoatCount { get; set; } = 1;
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/// <summary>Material type — helps AI factor in prep, outgassing, cure time (e.g. "Cast Iron", "Aluminum").</summary>
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public string? MaterialType { get; set; }
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/// <summary>Approximate weight in lbs per piece — used to factor heavy-handling surcharge into time estimate.</summary>
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public decimal? EstimatedWeightLbs { get; set; }
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// Follow-up support (null on first call)
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public List<AiConversationTurn>? ConversationHistory { get; set; }
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public string? FollowUpAnswer { get; set; }
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public int CompanyId { get; set; }
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/// <summary>
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/// Id of the <see cref="CompanyBlastSetup"/> the user selected before analyzing.
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/// When set, the controller loads that setup and passes it to the AI service so the
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/// correct blast rate is injected into the prompt.
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/// </summary>
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public int? BlastSetupId { get; set; }
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}
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public class AiConversationTurn
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{
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public string Role { get; set; } = string.Empty; // "user" | "assistant"
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public string Content { get; set; } = string.Empty;
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}
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/// <summary>Result returned to the JS wizard from AI analysis.</summary>
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public class AiAnalyzeItemResult
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{
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public bool Success { get; set; }
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public string? ErrorMessage { get; set; }
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// When NeedsFollowUp is true, the wizard shows FollowUpQuestion to the user
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public bool NeedsFollowUp { get; set; }
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public string? FollowUpQuestion { get; set; }
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public int FollowUpRound { get; set; } // 1 or 2
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// Final item data (populated when NeedsFollowUp is false)
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public string? Description { get; set; }
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public decimal SurfaceAreaSqFt { get; set; }
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public string Complexity { get; set; } = "Moderate"; // Simple|Moderate|Complex|Extreme
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public int EstimatedMinutes { get; set; }
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public string? AiReasoning { get; set; }
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public string Confidence { get; set; } = "Medium"; // Low|Medium|High
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// Pricing preview (filled by server using company operating costs)
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public decimal EstimatedUnitPrice { get; set; }
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public decimal EstimatedTotal { get; set; }
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public decimal PowderCostPerLb { get; set; }
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public decimal CoverageSqFtPerLb { get; set; } = 30m;
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public decimal TransferEfficiency { get; set; } = 65m;
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// Raw conversation to pass back for follow-up round 2
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public List<AiConversationTurn> ConversationHistory { get; set; } = new();
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// AI-generated standardized tags from fixed taxonomy
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public List<string> Tags { get; set; } = new();
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// Historical price benchmark from completed jobs
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public AiBenchmarkResult? Benchmark { get; set; }
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// ID of the persisted AiItemPrediction record — returned on final result (not follow-up rounds).
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// The JS wizard stores this per-item so the controller can link prediction to QuoteItem/JobItem on save.
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public int? AiPredictionId { get; set; }
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// Pricing breakdown — helps users understand and sanity-check the estimate
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public AiPricingBreakdown? Breakdown { get; set; }
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}
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/// <summary>
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/// Display-only cost breakdown returned to the client.
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/// Contains computed dollar amounts only — rates, percentages, and coverage constants are intentionally excluded.
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/// </summary>
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public class AiPricingBreakdown
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{
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public decimal SurfaceAreaSqFt { get; set; }
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public decimal PowderLbsPerCoat { get; set; }
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public int CoatCount { get; set; }
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public decimal MaterialCost { get; set; }
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public decimal ConsumablesCost { get; set; }
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public int EstimatedMinutes { get; set; }
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/// <summary>Non-zero when a material-type minimum floor exists for this material.</summary>
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public int MaterialMinMinutes { get; set; }
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/// <summary>True when the floor was actually applied (AI returned less than the floor).</summary>
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public bool MinFloorApplied { get; set; }
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public decimal LaborCost { get; set; }
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public int OvenCycleMinutes { get; set; }
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public decimal OvenCost { get; set; }
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public bool RequiresPreheat { get; set; }
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public int PreheatMinutes { get; set; }
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public decimal PreheatCost { get; set; }
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public decimal SubtotalBeforeComplexity { get; set; }
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public string Complexity { get; set; } = string.Empty;
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public decimal ComplexityCharge { get; set; }
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public decimal SubtotalBeforeMarkup { get; set; }
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public decimal MarkupAmount { get; set; }
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public decimal UnitPrice { get; set; }
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}
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/// <summary>Request to recalculate AI item price when the user overrides sq ft, minutes, or complexity.</summary>
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public class AiRecalcPriceRequest
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{
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public decimal SurfaceAreaSqFt { get; set; }
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public int EstimatedMinutes { get; set; }
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public string Complexity { get; set; } = "Moderate";
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public int CoatCount { get; set; } = 1;
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}
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/// <summary>Result of a price recalculation — returns the new unit price and a display-safe breakdown.</summary>
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public class AiRecalcPriceResult
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{
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public bool Success { get; set; }
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public decimal UnitPrice { get; set; }
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public AiPricingBreakdown? Breakdown { get; set; }
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}
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/// <summary>Historical price benchmark from completed jobs with similar complexity and size.</summary>
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public class AiBenchmarkResult
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{
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public int MatchCount { get; set; }
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public decimal MinPrice { get; set; }
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public decimal MaxPrice { get; set; }
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public decimal AvgPrice { get; set; }
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public string ComplexityLevel { get; set; } = string.Empty;
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public decimal SqFtRangeMin { get; set; }
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public decimal SqFtRangeMax { get; set; }
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}
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/// <summary>
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/// Company-specific AI context passed to the quote service on every analysis call.
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/// Contains optional free-text profile and recent accepted predictions as few-shot calibration examples.
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/// </summary>
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public class CompanyAiContext
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{
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/// <summary>Free-text description of the shop's specialties and pricing style (from Company Settings).</summary>
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public string? ProfileText { get; set; }
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/// <summary>Recent predictions the user accepted without override — used as few-shot calibration examples.</summary>
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public List<AiFewShotExample> AcceptedExamples { get; set; } = new();
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}
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/// <summary>A single accepted-prediction record formatted for AI few-shot context.</summary>
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public class AiFewShotExample
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{
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public string Description { get; set; } = string.Empty;
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public decimal SurfaceAreaSqFt { get; set; }
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public string Complexity { get; set; } = string.Empty;
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public int EstimatedMinutes { get; set; }
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public decimal FinalUnitPrice { get; set; }
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public string? Tags { get; set; }
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}
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/// <summary>Internal structured response that Claude returns as JSON.</summary>
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public class ClaudeQuoteResponse
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{
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public string Description { get; set; } = string.Empty;
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public decimal SurfaceAreaSqFt { get; set; }
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public string Complexity { get; set; } = "Moderate";
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public int EstimatedMinutes { get; set; }
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public bool RequiresPreheat { get; set; }
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public int PreheatMinutes { get; set; }
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public string Confidence { get; set; } = "Medium";
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public bool NeedsFollowUp { get; set; }
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public string? FollowUpQuestion { get; set; }
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public string Reasoning { get; set; } = string.Empty;
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public List<string> Tags { get; set; } = new();
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}
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