private ForecastTerm CreateTerm(TextFile tf, int idx)
{
var s = tf[idx].Split(',')[1].Trim();
ForecastTerm rval = null;
if (s == "Antecedent Runoff")
{
rval = new AntecedentRunoffForecastTerm();
}
else if (s == "Precipitation")
{
rval = new PrecipitationForecastTerm();
}
else if (s == "Snow")
{
rval = new SnowForecastTerm();
}
else if (s == "Runoff")
{
rval = new RunoffForecastTerm();
}
else
{
throw new NotImplementedException();
}
rval.Number = Convert.ToInt32(tf[idx].Split(',')[0].Substring(1, 1));// X1, Y1, X2...
return(rval);
}
private void ReadFromFile(string filename)
{
var tf = new TextFile(filename);
Name = ReadStringToken(tf, "Name");
StartYear = Convert.ToInt32(ReadStringToken(tf, "StartYear"));
EndYear = Convert.ToInt32(ReadStringToken(tf, "EndYear"));
this.aveargeFlowStation = ReadStringToken(tf, "AverageRunoff");
this.coefficients = ReadCoefficients(tf);
string pattern = @"(X|Y)[0-9]{1}[A-Za-z]?\s*,";
int idx = tf.IndexOfRegex(pattern);
while (idx > 0)
{
var term = CreateTerm(tf, idx);
term.MonthNames = ReadDateRange(tf, idx);
var isYterm = tf[idx].IndexOf("Y") == 0;
if (isYterm)
{
YTerm = (RunoffForecastTerm)term;
}
else
{
XTerms.Add(term);
}
idx++;
while (idx < tf.Length && !Regex.IsMatch(tf[idx], pattern))
{
if (tf[idx].Length > 0 && tf[idx].IndexOf("#") == 0 || tf[idx].IndexOf("\"#") == 0)
{// comment line
idx++;
continue;
}
var tokens = CsvFile.ParseCSV(tf[idx]);
if (tokens.Length <= 0)
{
break;
}
if (tokens[0].Trim() == "")
{
break;
}
term.siteNames.Add(tokens[0]);
// remove any extra space between cbtt and pcode
var tmp = TextFile.Split(tokens[1].Trim());
if (tmp.Length != 2)
{// might be an equation...
term.cbttPodes.Add(tokens[1].Trim());
}
else
{
term.cbttPodes.Add(tmp[0].Trim().ToUpper() + " " + tmp[1].Trim().ToUpper());
}
term.siteWeights.Add(Convert.ToDouble(tokens[2]));
if (isYterm)
{// y-term should not be weighted... put in 1's
double[] w = Array.ConvertAll(term.MonthNames.ToArray(), s => 1.0);
term.MonthlyWeights.Clear();
term.MonthlyWeights.AddRange(w);
}
else
{
term.MonthlyWeights = ReadDoubles(tokens, 3, term.MonthNames.Count);
}
idx++;
}
if (idx >= tf.Length)
{
break;
}
idx = tf.IndexOfRegex(pattern, idx);
}
}
