public void LoadRecommendation(string LoginID)
{
Predict_DAO_MC dao = null;
RecommdationSchedule schedule = new RecommdationSchedule();
schedule.Log = "Recommendation";
schedule.LoginID = LoginID;
Predict_MC predictMC = new Predict_MC();
try
{
dao = new Predict_DAO_MC();
dao.beginTransaction();
RecommdationSchedule currentSchedule = dao.addRecommdationSchedule(schedule);
// Settings st = getSettings();
Settings r = predictMC.GetRecommendationSeting(dao);
Dictionary<string, double> UCA = predictMC.getUCA(dao);
//Data service
IntergrationManager manager = new IntergrationManager(); manager.execute();
//Learn the quantity GAP
List<ADDGAP> lstADDGAP = predictMC.GetListOfNewGAP(dao); //get list of new GAP
List<QTY_GAP> lstGAP = predictMC.UpdateQTYGap(dao, lstADDGAP); //Update new GAP and return the GAP Matrix
//Clustering service
new ClusterUsers().startClusteringAuto();
/*
*
*
* this paragraph need to rewrite
*
* */
//C4
ComputeConfident(dao);
// C5
ComputeDIST(dao);
//=====================================================================================
//dao.CLEAN_RECOMMENDATION();
//// C6 - MC
DateTime startC6 = DateTime.Now;
predictMC.R1(dao, currentSchedule, r.nbR1, UCA, lstGAP);
DateTime endC6 = DateTime.Now;
int time_Seconds_CLC6 = Convert.ToInt32((endC6 - startC6).TotalSeconds);
//// C7 - NGO
DateTime startC7 = DateTime.Now;
setRCPurchasedItems(dao, currentSchedule, r.nbR2, lstGAP);
DateTime endC7 = DateTime.Now;
int time_Seconds_CLC7 = Convert.ToInt32((endC7 - startC7).TotalSeconds);
//// C8 - MC
DateTime startC8 = DateTime.Now;
predictMC.R3(dao, currentSchedule, r.nbR3, UCA, lstGAP);
DateTime endC8 = DateTime.Now;
int time_Seconds_CLC8 = Convert.ToInt32((endC8 - startC8).TotalSeconds);
//// C9 - MC
DateTime startC9 = DateTime.Now;
predictMC.R4(dao, currentSchedule, r.paramR4, UCA, lstGAP);
DateTime endC9 = DateTime.Now;
int time_Seconds_CLC9 = Convert.ToInt32((endC9 - startC9).TotalSeconds);
////Get R1R4 for new users
DateTime startR1R4NewUsers = DateTime.Now;
predictMC.R1R4_FOR_NEW_USERS(dao, currentSchedule, UCA);
DateTime endR1R4NewUsers = DateTime.Now;
int time_second_R1R4NewUsers = Convert.ToInt32((endR1R4NewUsers - startR1R4NewUsers).TotalSeconds);
//GetPrice
dao.GetPrice();
Console.WriteLine("FINISH");
// build statistic log
List<string[]> lstStatic = dao.getStaticsData();
foreach (string[] statics in lstStatic)
{
schedule.Log += statics[0] + statics[1] + ". ";
}
schedule.Log += "Time to find LRS01 : " + time_Seconds_CLC6.ToString() + ". ";
schedule.Log += "Time to find LRS02 : " + time_Seconds_CLC7.ToString() + ". ";
schedule.Log += "Time to find LRS03 : " + time_Seconds_CLC8.ToString() + ". ";
schedule.Log += "Time to find LRS04 : " + time_Seconds_CLC9.ToString() + ". ";
schedule.Log += "Time to find recommendations for new clients : " + time_second_R1R4NewUsers.ToString() + ". ";
schedule.Log += "System successfully stopped at " + DateTime.Now.ToString();
dao.updateRecommdationSchedule(schedule);
dao.commitTransaction();
}
catch (Exception ex)
{
dao.rollbackTransaction();
throw ex;
}
}
public void LoadRecommendation(string LoginID)
{
Predict_DAO_MCol dao = null;
RecommdationSchedule schedule = new RecommdationSchedule();
schedule.Log = "Recommendation";
schedule.LoginID = LoginID;
Predict_MC predictMC = new Predict_MC();
try
{
dao = new Predict_DAO_MCol();
dao.beginTransaction();
RecommdationSchedule currentSchedule = dao.addRecommdationSchedule(schedule);
//Settings st = getSettings();
Settings r = predictMC.GetRecommendationSeting(dao);
Dictionary <string, double> UCA = predictMC.getUCA(dao);
//Data service
IntergrationManager manager = new IntergrationManager();
manager.execute();
//Clustering service
new ClusterUsers().startClusteringAuto();
/*
*
*
* this paragraph need to rewrite
*
* */
//calculate confident matrix - c4
ComputeConfident(dao);
// calculate dist matrix - C5
ComputeDIST(dao);
//=====================================================================================
dao.CLEAN_RECOMMENDATION();
// R1
DateTime startC6 = DateTime.Now;
// predictMC.R1(dao, currentSchedule, r.nbR1, UCA, lstGAP);
predictMC.R1(dao, currentSchedule);
DateTime endC6 = DateTime.Now;
int time_Seconds_CLC6 = Convert.ToInt32((endC6 - startC6).TotalSeconds);
//////R2
//DateTime startC7 = DateTime.Now;
//setRCPurchasedItems(dao, currentSchedule, r.nbR2, lstGAP);
//DateTime endC7 = DateTime.Now;
//int time_Seconds_CLC7 = Convert.ToInt32((endC7 - startC7).TotalSeconds);
//// R3
DateTime startC8 = DateTime.Now;
// predictMC.R3(dao, currentSchedule, r.nbR3, UCA, lstGAP);
predictMC.R3(dao, currentSchedule);
DateTime endC8 = DateTime.Now;
int time_Seconds_CLC8 = Convert.ToInt32((endC8 - startC8).TotalSeconds);
//// R4
DateTime startC9 = DateTime.Now;
// predictMC.R4(dao, currentSchedule, r.paramR4, UCA, lstGAP);
predictMC.R4(dao, currentSchedule);
DateTime endC9 = DateTime.Now;
int time_Seconds_CLC9 = Convert.ToInt32((endC9 - startC9).TotalSeconds);
////Get R1R4 for new users
DateTime startR1R4NewUsers = DateTime.Now;
predictMC.R1R4_FOR_NEW_USERS(dao, currentSchedule, UCA);
DateTime endR1R4NewUsers = DateTime.Now;
int time_second_R1R4NewUsers = Convert.ToInt32((endR1R4NewUsers - startR1R4NewUsers).TotalSeconds);
//GetPrice
//dao.GetPrice();
Console.WriteLine("FINISH");
// build statistic log
List <string[]> lstStatic = dao.getStaticsData();
foreach (string[] statics in lstStatic)
{
schedule.Log += statics[0] + statics[1] + ". ";
}
schedule.Log += "Time to find LRS01 : " + time_Seconds_CLC6.ToString() + ". ";
//schedule.Log += "Time to find LRS02 : " + time_Seconds_CLC7.ToString() + ". ";
schedule.Log += "Time to find LRS03 : " + time_Seconds_CLC8.ToString() + ". ";
schedule.Log += "Time to find LRS04 : " + time_Seconds_CLC9.ToString() + ". ";
schedule.Log += "Time to find recommendations for new clients : " + time_second_R1R4NewUsers.ToString() + ". ";
schedule.Log += "System successfully stopped at " + DateTime.Now.ToString();
dao.updateRecommdationSchedule(schedule);
dao.commitTransaction();
}
catch (Exception ex)
{
dao.rollbackTransaction();
throw ex;
}
}