using System.Text;
using System.Text.Json;
using System.Text.RegularExpressions;
using NCalc2;
using Anthropic.SDK;
using Anthropic.SDK.Messaging;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.Logging;
using PowderCoating.Application.DTOs.Company;
using PowderCoating.Application.Interfaces;
namespace PowderCoating.Infrastructure.Services;
///
/// Generates NCalc pricing formula templates from natural-language descriptions using
/// Claude Sonnet. Accepts an optional diagram image so the model can see the physical
/// shape being estimated. The model returns a structured JSON object containing the
/// field list, NCalc expression, output mode, and verification inputs; the service
/// parses and returns it as a .
///
public class CustomFormulaAiService : ICustomFormulaAiService
{
private readonly IConfiguration _config;
private readonly ILogger _logger;
private const string SystemPrompt = @"You are an expert pricing formula engineer for a powder coating business.
Your job is to generate NCalc expressions that calculate either a fixed price or a surface area
from user-supplied field values.
CRITICAL: NCalc function names are CASE-SENSITIVE and must be ALL LOWERCASE.
Supported built-in functions (always write these exactly as shown):
if(condition, trueValue, falseValue) — conditional expression
abs(x) — absolute value
round(x, digits) — round to N decimal places
max(a, b) — larger of two values
min(a, b) — smaller of two values
pow(base, exponent) — exponentiation
sqrt(x) — square root
Standard operators: + - * / %
Comparison operators: < > <= >= == !=
Boolean operators: && || !
Do NOT use: IF, Abs, Round, Max, Min, Pow, Sqrt (uppercase versions) — NCalc will reject them.
The user will describe a custom fabricated item (e.g., 'Roof curb', 'Electrical enclosure',
'Tubular frame') and you must produce a pricing formula template.
Respond ONLY with a valid JSON object matching this exact schema — no markdown, no explanation:
{
""name"": ""string — short template name (e.g. 'Roof Curb', 'Electrical Enclosure')"",
""outputMode"": ""FixedRate"" | ""SurfaceAreaSqFt"",
""fields"": [
{
""name"": ""snake_case_variable_name"",
""label"": ""Human-readable label"",
""unit"": ""in / ft / mm / cm / qty / lbs — or empty string"",
""defaultValue"": number
}
],
""formula"": ""NCalc expression using field name variables and optionally 'rate'"",
""defaultRate"": number or null,
""rateLabel"": ""string label for the rate field, e.g. '$/sq ft' — null if no rate"",
""reasoning"": ""1-2 sentences explaining how the formula was derived"",
""verificationInputs"": { ""variable_name"": number },
""verificationResult"": number
}
Built-in shop-rate variables (injected automatically at eval time — do NOT redeclare them as fields):
standard_labor_rate — shop billing rate in $/hr (e.g. hours * standard_labor_rate)
additional_coat_labor_pct — extra-coat labor surcharge 0–100 (e.g. cost * (1 + additional_coat_labor_pct/100))
markup_pct — general markup percentage 0–100 (e.g. cost * (1 + markup_pct/100))
Rules:
- Use FixedRate when the formula directly calculates a dollar amount (e.g. surface area × rate per sqft)
- Use SurfaceAreaSqFt when the formula calculates square footage and the standard pricing engine handles the rest
- Always include a 'rate' variable when outputMode is FixedRate and the price scales with dimensions, UNLESS the formula already uses standard_labor_rate or another built-in
- Field names must be valid NCalc identifiers (letters, digits, underscores; no spaces or hyphens)
- Do NOT include standard_labor_rate, additional_coat_labor_pct, or markup_pct in the fields array — they are injected automatically
- verificationInputs and verificationResult must use the exact field names and formula you generated
- Surface area formulas for box shapes: 2*(L*W + L*H + W*H) where L/W/H are in the same unit; convert to sqft if needed
- For inch inputs convert to sqft: divide by 144 (sqin→sqft) or use /12 per side before multiplying
";
public CustomFormulaAiService(IConfiguration config, ILogger logger)
{
_config = config;
_logger = logger;
}
///
public async Task GenerateFormulaAsync(
GenerateFormulaFromAiRequest request,
byte[]? imageBytes = null,
string? imageContentType = null)
{
var apiKey = _config["AI:Anthropic:ApiKey"];
if (string.IsNullOrWhiteSpace(apiKey) || apiKey.StartsWith("your-"))
{
return new GenerateFormulaFromAiResponse
{
Success = false,
Error = "Anthropic API key is not configured. Add AI:Anthropic:ApiKey to appsettings.json."
};
}
try
{
var client = new AnthropicClient(apiKey);
var userContent = new List();
if (imageBytes is { Length: > 0 } && !string.IsNullOrWhiteSpace(imageContentType))
{
userContent.Add(new ImageContent
{
Source = new ImageSource
{
MediaType = imageContentType,
Data = Convert.ToBase64String(imageBytes)
}
});
}
userContent.Add(new TextContent { Text = request.Description });
var messages = new List
{
new() { Role = RoleType.User, Content = userContent }
};
var response = await client.Messages.GetClaudeMessageAsync(new MessageParameters
{
Model = "claude-sonnet-4-6",
MaxTokens = 1024,
SystemMessage = SystemPrompt,
Messages = messages
});
var rawJson = response.Message.ToString().Trim();
// Strip markdown code fences if the model adds them
if (rawJson.StartsWith("```"))
{
var start = rawJson.IndexOf('\n') + 1;
var end = rawJson.LastIndexOf("```");
if (end > start) rawJson = rawJson[start..end].Trim();
}
using var doc = JsonDocument.Parse(rawJson);
var root = doc.RootElement;
var fieldsJson = root.TryGetProperty("fields", out var fieldsEl)
? fieldsEl.GetRawText()
: "[]";
decimal? defaultRate = null;
if (root.TryGetProperty("defaultRate", out var rateEl) && rateEl.ValueKind == JsonValueKind.Number)
defaultRate = rateEl.GetDecimal();
decimal? verificationResult = null;
if (root.TryGetProperty("verificationResult", out var vrEl) && vrEl.ValueKind == JsonValueKind.Number)
verificationResult = vrEl.GetDecimal();
string? verificationInputs = null;
if (root.TryGetProperty("verificationInputs", out var viEl))
verificationInputs = viEl.GetRawText();
return new GenerateFormulaFromAiResponse
{
Success = true,
Name = root.TryGetProperty("name", out var nameEl) ? nameEl.GetString() : null,
OutputMode = root.TryGetProperty("outputMode", out var omEl) ? omEl.GetString() : "FixedRate",
FieldsJson = fieldsJson,
Formula = root.TryGetProperty("formula", out var fEl) ? fEl.GetString() : null,
DefaultRate = defaultRate,
RateLabel = root.TryGetProperty("rateLabel", out var rlEl) ? rlEl.GetString() : null,
Reasoning = root.TryGetProperty("reasoning", out var reEl) ? reEl.GetString() : null,
VerificationResult = verificationResult,
VerificationInputs = verificationInputs
};
}
catch (Exception ex)
{
_logger.LogError(ex, "CustomFormulaAiService.GenerateFormulaAsync failed");
return new GenerateFormulaFromAiResponse { Success = false, Error = ex.Message };
}
}
// Lowercase NCalc built-in names before evaluation so that user-typed or AI-generated
// uppercase variants (IF, Abs, POW, etc.) don't produce "Function not found" errors.
private static readonly Regex _ncalcFuncRegex = new(
@"\b(if|abs|round|max|min|pow|sqrt|ceiling|floor|truncate|sign|log|exp)\b(?=\s*\()",
RegexOptions.IgnoreCase | RegexOptions.Compiled);
private static string NormalizeFormula(string formula) =>
_ncalcFuncRegex.Replace(formula, m => m.Value.ToLowerInvariant());
///
public (string NormalizedFormula, string? Error) NormalizeAndValidate(string formula)
{
if (string.IsNullOrWhiteSpace(formula))
return (formula, "Formula cannot be empty.");
var normalized = NormalizeFormula(formula);
try
{
var expr = new Expression(normalized);
if (expr.HasErrors())
return (formula, expr.Error);
return (normalized, null);
}
catch (Exception ex)
{
return (formula, ex.Message);
}
}
///
public EvaluateFormulaResponse EvaluateFormula(EvaluateFormulaRequest request)
{
if (string.IsNullOrWhiteSpace(request?.Formula))
return new EvaluateFormulaResponse { Success = false, Error = "Formula is required." };
try
{
var variables = JsonSerializer.Deserialize>(
request.VariablesJson ?? "{}") ?? new();
var expr = new Expression(NormalizeFormula(request.Formula));
foreach (var kv in variables)
{
expr.Parameters[kv.Key] = kv.Value.ValueKind == JsonValueKind.Number
? (object)kv.Value.GetDouble()
: (object)(kv.Value.GetString() ?? "");
}
var result = expr.Evaluate();
var decResult = Convert.ToDecimal(result);
return new EvaluateFormulaResponse { Success = true, Result = Math.Round(decResult, 4) };
}
catch (Exception ex)
{
return new EvaluateFormulaResponse { Success = false, Error = ex.Message };
}
}
}