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myAi/Apis/rag-api/Services/DocumentClassifier.cs
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2026-05-14 14:12:29 +03:00

66 lines
3.1 KiB
C#

using System.Text.RegularExpressions;
using Api.Services.Contracts;
using Rag.Models;
namespace Api.Services;
public sealed class DocumentClassifier : IDocumentClassifier
{
private static readonly HashSet<string> KnownTypes = new(StringComparer.OrdinalIgnoreCase)
{
"cv", "job", "article", "contract", "invoice", "product", "documentation", "unknown"
};
public Task<DocumentClassification> ClassifyAsync(string text, string? providedType, string? providedTitle, CancellationToken ct)
{
if (!string.IsNullOrWhiteSpace(providedType))
{
var normalized = NormalizeType(providedType);
return Task.FromResult(new DocumentClassification
{
DocumentType = normalized,
Confidence = KnownTypes.Contains(normalized) && normalized != "unknown" ? 1.0 : 0.6,
Title = BuildTitle(providedTitle, text, normalized)
});
}
var lower = text.ToLowerInvariant();
var scores = new Dictionary<string, int>(StringComparer.OrdinalIgnoreCase)
{
["cv"] = Count(lower, "curriculum vitae", "resume", "work experience", "professional experience", "education", "skills", "technologies", "linkedin", "github"),
["job"] = Count(lower, "job description", "requirements", "responsibilities", "qualifications", "apply", "we are looking", "salary", "benefits", "remote", "hybrid"),
["contract"] = Count(lower, "agreement", "contract", "party", "parties", "liability", "termination", "confidentiality", "governing law"),
["invoice"] = Count(lower, "invoice", "vat", "subtotal", "total", "amount due", "due date", "billing"),
["documentation"] = Count(lower, "api", "endpoint", "configuration", "install", "usage", "parameters", "response", "request"),
["product"] = Count(lower, "features", "pricing", "sku", "product", "specification", "warranty")
};
var best = scores.OrderByDescending(x => x.Value).First();
var type = best.Value <= 0 ? "unknown" : best.Key;
var confidence = best.Value <= 0 ? 0.25 : Math.Min(0.95, 0.45 + best.Value * 0.08);
return Task.FromResult(new DocumentClassification
{
DocumentType = type,
Confidence = confidence,
Title = BuildTitle(providedTitle, text, type)
});
}
private static int Count(string lower, params string[] terms) => terms.Count(term => lower.Contains(term));
private static string NormalizeType(string value)
{
var cleaned = Regex.Replace(value.Trim().ToLowerInvariant(), "[^a-z0-9_-]", "-");
return string.IsNullOrWhiteSpace(cleaned) ? "unknown" : cleaned;
}
private static string BuildTitle(string? providedTitle, string text, string documentType)
{
if (!string.IsNullOrWhiteSpace(providedTitle)) return providedTitle.Trim();
var firstLine = text.Split('.', '\n', '\r').Select(x => x.Trim()).FirstOrDefault(x => x.Length > 20);
if (!string.IsNullOrWhiteSpace(firstLine)) return firstLine.Length <= 120 ? firstLine : firstLine[..120];
return $"{documentType} document";
}
}