/// <summary>
/// loads a collection pf ProcessData from DB, generates the Envelopes based on precision and/or links and saves results to DB
/// </summary>
/// <param name="processids">given list of process ids</param>
/// <param name="precision">level of precision (compared to normalized View - [0,1]!)</param>
/// <param name="links">number of links('Glieder') we want our Envelope to have</param>
/// <returns></returns>
public ActionResult SaveEnvelopes(int[] processids = null, decimal precision = 0m, int links = 5)
{
if (processids == null)
{
processids = WSConnection.GetProcessesWhere(new List <Tuple <string, string, string, string> >());
}
PredictiveProcessCollection coll = new PredictiveProcessCollection(processids, precision, links);
PredictiveProcessCollection.SaveEnvelopes(coll);
return(Content("collection was saved", "text/html"));
}
/// <summary>
/// loads precalculated param evaluations of a dataset from DB
/// </summary>
public static void LoadParams()
{
string json = WSConnection.GetParamStatistics();
string [][] ret = Newtonsoft.Json.JsonConvert.DeserializeObject <string[][]>(json);
if (ret.Length == 0)
{
var processids = WSConnection.GetProcessesWhere(new List <Tuple <string, string, string, string> >());
DataContainers = new PredictiveProcessCollection(processids);
foreach (ParamEvaluation eva in DataContainers.ParamEvaluations.Values)
{
WSConnection.InsertParamStatistic(eva.ParamName, eva.ParamType.ToString(), eva.ValueCount, eva.DistinctValues.Select(x => x.Item1));
}
}
else
{
DataContainers = new PredictiveProcessCollection(new List <PredictiveProcessData>());
for (int i = 0; i < ret.Length; i++)
{
DataContainers.ParamEvaluations.Add(ret[i][0], new ParamEvaluation(ret[i][0], ret[i][1], ret[i][2].Split(';').ToList(), int.Parse(ret[i][3])));
}
}
loadedAll = true;
}
