public string Simulate(string toonJson)
{
try
{
Response.ContentType = "application/json";
if (string.IsNullOrWhiteSpace(toonJson))
{
Response.StatusCode = 500;
return(JsonConvert.SerializeObject(new { ErrorMessage = "No character definitions provided" }));
}
CharacterDefinition[] toons = JsonConvert.DeserializeObject <CharacterDefinition[]>(toonJson);
List <BNetCharacterDetails> dets = new List <BNetCharacterDetails>();
for (int i = 0; i < toons.Length; i++)
{
var charDetails = GetCharacterDetails(toons[i]);
if (charDetails != null)
{
dets.Add(charDetails);
}
}
if (dets.Count < 1)
{
Response.StatusCode = 404;
return(JsonConvert.SerializeObject(new { ErrorMessage = "Unable to retreive details for any character provided" }));
}
LMResult simResult = Simulation.Run(dets);
return(JsonConvert.SerializeObject(new { ErrorMessage = "", Sim = simResult }));
}
catch (Exception ex)
{
LogError(ex);
Response.StatusCode = 500;
return(JsonConvert.SerializeObject(new { ErrorMessage = "System error occured" }));
}
}
static void Main(string[] args)
{
if (args.Length < 3)
{
Console.WriteLine("lm_score.exe [LexDict file] [language model file] [ngram-order] <input file> <output file>");
Console.WriteLine(" if <input file> and <output file> is empty, the input/output will be re-directed to console.");
return;
}
WordSeg.WordSeg wordseg = new WordSeg.WordSeg();
WordSeg.Tokens tokens = null;
//Load lexical dictionary for word breaking
wordseg.LoadLexicalDict(args[0], true);
tokens = wordseg.CreateTokens();
//Load language model
LMDecoder.KNDecoder lmDecoder = new LMDecoder.KNDecoder();
lmDecoder.LoadLM(args[1]);
StreamReader sr = null;
if (args.Length >= 4)
{
sr = new StreamReader(args[3]);
}
StreamWriter sw = null;
if (args.Length >= 5)
{
sw = new StreamWriter(args[4]);
}
Console.WriteLine("Ready...");
if (sw == null)
{
Console.WriteLine("Text\tProbability\tOOV\tPerplexity");
}
else
{
sw.WriteLine("Text\tProbability\tOOV\tPerplexity");
}
int order = int.Parse(args[2]);
while (true)
{
string strLine = null;
if (sr == null)
{
strLine = Console.ReadLine();
}
else
{
strLine = sr.ReadLine();
}
//Empty line, exit
if (strLine == null || strLine.Length == 0)
{
break;
}
//Only use the first column
string[] items = strLine.Split('\t');
string strText = items[0];
//Segment text by lexical dictionary
wordseg.Segment(strText, tokens, false);
StringBuilder sb = new StringBuilder();
//Parse each broken token
for (int i = 0; i < tokens.tokenList.Count; i++)
{
string strTerm = tokens.tokenList[i].strTerm.Trim();
if (strTerm.Length > 0)
{
sb.Append(strTerm);
sb.Append(" ");
}
}
strText = sb.ToString().Trim();
LMResult LMRst = lmDecoder.GetSentProb(strText, order);
if (sw == null)
{
Console.WriteLine("{0}\t{1}\t{2}\t{3}", strText, LMRst.logProb, LMRst.oovs, LMRst.perplexity);
}
else
{
sw.WriteLine("{0}\t{1}\t{2}\t{3}", strText, LMRst.logProb, LMRst.oovs, LMRst.perplexity);
}
}
if (sr != null)
{
sr.Close();
}
if (sw != null)
{
sw.Close();
}
}
