DP44/DataPRO/Modules/DatabaseImporter/DatabaseImport/DASConcepts/LinearizationFormula.cs

using System;
using System.Collections.Generic;

namespace DatabaseImport
{
    public class LinearizationFormula
    {
        private bool _bIsValid;
        //        public bool IsValid() { return _bIsValid; }
        public void MarkValid(bool bValid)
        {
            _bIsValid = bValid;
        }
        public NonLinearStyles NonLinearStyle { get; set; } = NonLinearStyles.IRTraccDiagnosticsZero;

        public double PolynomialSensitivity { get; set; } = 1D;

        public double LinearizationExponent { get; set; } = 1D;


        /// <summary>
        /// THIS IS MM/V, (UI has already been updated, we need to update the variable name)
        /// </summary>
        public double MMPerV { get; set; }

        public double MVAt0MM { get; set; }

        public double Slope { get; set; }

        public double Intercept { get; set; }

        public double CalibrationFactor { get; set; }

        public double ZeroPositionIntercept { get; set; }

        public LinearizationFormula()
        {
            ZeroPositionIntercept = 0D;
            CalibrationFactor = 0D;
            Intercept = 0D;
            _coefficients = new List<double>(new double[] { 0, 0, 0, 0 });
            _exponents = new List<double>(new double[] { 0, 1, 2, 3 });
        }

        public LinearizationFormula(LinearizationFormula copy)
        {
            UsemVOverVForPolys = copy.UsemVOverVForPolys;
            _bIsValid = copy._bIsValid;
            _coefficients = new List<double>(copy._coefficients.ToArray());
            _exponents = new List<double>(copy._exponents.ToArray());
            Intercept = copy.Intercept;
            LinearizationExponent = copy.LinearizationExponent;
            MMPerV = copy.MMPerV;
            MVAt0MM = copy.MVAt0MM;
            Slope = copy.Slope;
            NonLinearStyle = copy.NonLinearStyle;
            _coefficients = new List<double>(copy._coefficients);
            _exponents = new List<double>(copy._exponents);
            PolynomialSensitivity = copy.PolynomialSensitivity;
            ZeroPositionIntercept = copy.ZeroPositionIntercept;
            CalibrationFactor = copy.CalibrationFactor;
        }
        public bool UsemVOverVForPolys { get; set; } = true;
        private List<double> _coefficients = new List<double>();
        private List<double> _exponents = new List<double>();
        public void FromIRTraccCalFactorString(string s, System.Globalization.CultureInfo culture)
        {
            var tokens = s.Split('x');
            if (tokens.Length < 3) { throw new NotSupportedException("Invalid CalFactor format: " + s); }

            CalibrationFactor = double.Parse(tokens[0], culture);
            LinearizationExponent = double.Parse(tokens[1], culture);
            ZeroPositionIntercept = double.Parse(tokens[2], culture);
        }
        public void FromIRTraccDiagnosticZeroString(string s, System.Globalization.CultureInfo culture)
        {
            var tokens = s.Split('x');
            if (tokens.Length < 2) { throw new NotSupportedException("Invalid DiagnosticsZero format: " + s); }
            MMPerV = double.Parse(tokens[0], culture);
            LinearizationExponent = double.Parse(tokens[1], culture);
        }
        public void FromIRTraccManualString(string s, System.Globalization.CultureInfo culture)
        {
            var tokens = s.Split('x');
            if (tokens.Length < 3) { throw new NotSupportedException("Invalid IRTraccManual format: " + s); }
            Slope = double.Parse(tokens[0], culture);
            Intercept = double.Parse(tokens[1], culture);
            LinearizationExponent = double.Parse(tokens[2], culture);
        }
        public void FromIRTraccAverageOverTimeString(string s, System.Globalization.CultureInfo culture)
        {
            var tokens = s.Split('x');
            if (tokens.Length < 2) { throw new NotSupportedException("Invalid IRTRaccAverageOverTime format: " + s); }
            MMPerV = double.Parse(tokens[0], culture);
            LinearizationExponent = double.Parse(tokens[1], culture);
        }
        public void FromIRTraccZeroMMmVString(string s, System.Globalization.CultureInfo culture)
        {
            var tokens = s.Split('x');
            if (tokens.Length < 3) { throw new NotSupportedException("Invalid IRTraccZeroMMmV format: " + s); }
            MMPerV = double.Parse(tokens[0], culture);
            MVAt0MM = double.Parse(tokens[1], culture);
            LinearizationExponent = double.Parse(tokens[2], culture);
        }
        public void FromPolynomialString(string s, System.Globalization.CultureInfo culture)
        {
            _coefficients.Clear();
            _exponents.Clear();

            var tokens = s.Split(',');
            foreach (var t in tokens)
            {
                var subtokens = t.Split('x');
                if (2 == subtokens.Length)
                {
                    double d;
                    if (double.TryParse(subtokens[0], System.Globalization.NumberStyles.Float, culture, out d))
                    {
                        _coefficients.Add(d);
                        _exponents.Add(double.Parse(subtokens[1], culture));
                    }
                    else
                    {
                        PolynomialSensitivity = double.Parse(subtokens[1], culture);
                    }
                }
                else
                {
                    subtokens = t.Split('=');
                    if (subtokens.Length == 2)
                    {
                        switch (subtokens[0])
                        {
                            case "S":
                                PolynomialSensitivity = double.Parse(subtokens[1], culture);
                                break;
                            case "mV":
                                UsemVOverVForPolys = Convert.ToBoolean(subtokens[1], culture);
                                break;
                        }
                    }
                }
            }
        }
        public void FromSerializeString(string s, System.Globalization.CultureInfo culture)
        {
            if (string.IsNullOrEmpty(s)) { _bIsValid = false; return; }
            if (s.Equals("1") || s.Equals("0") || s.Equals("1 ")) { _bIsValid = false; return; }

            var tokens = s.Split('_');
            if (tokens.Length < 2) { throw new NotSupportedException("unsupported Linearization Formula Format"); }
            var style = (NonLinearStyles)Enum.Parse(typeof(NonLinearStyles), tokens[0], true);
            NonLinearStyle = style;
            switch (NonLinearStyle)
            {
                case NonLinearStyles.IRTraccDiagnosticsZero:
                    FromIRTraccDiagnosticZeroString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                case NonLinearStyles.IRTraccManual:
                    FromIRTraccManualString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                case NonLinearStyles.IRTraccZeroMMmV:
                    FromIRTraccZeroMMmVString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                case NonLinearStyles.Polynomial:
                    FromPolynomialString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                case NonLinearStyles.IRTraccAverageOverTime:
                    FromIRTraccAverageOverTimeString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                case NonLinearStyles.IRTraccCalFactor:
                    FromIRTraccCalFactorString(tokens[1], culture);
                    _bIsValid = true;
                    break;
                default:
                    throw new NotSupportedException("Unknown format: " + NonLinearStyle);
            }
        }
        public void FromSerializeString(string s)
        {
            FromSerializeString(s, System.Globalization.CultureInfo.InvariantCulture);
        }
    }
}