public void AutoLoadNext()
{
int powerDistance = 50;
if (this.isLoaded)
{
List <PowerFrequency>[] pfList = new List <PowerFrequency> [TimeSlotUtils.TimeSlotToSize(this.timeslot)];
for (int p = 0; p < this.dayStore[(int)this.day][0].data.timeSlot.Length; p++)
{
pfList[p] = new List <PowerFrequency>();
}
for (int d = 0; d < this.dayStore[(int)this.day].Count; d++)
{
for (int t = 0; t < this.dayStore[(int)this.day][d].data.timeSlot.Length; t++)
{
PowerFrequency findPf = pfList[t].Find(
(pf) => pf.wh == Math.Floor((Math.Round(this.dayStore[(int)this.day][d].data.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance);
if (findPf == null)
{
pfList[t].Add(new PowerFrequency(Math.Floor((Math.Round(this.dayStore[(int)this.day][d].data.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance));
}
else
{
findPf.IncFrequency();
}
}
}
for (int p = 0; p < this.dayStore[(int)this.day][0].data.timeSlot.Length; p++)
{
pfList[p].Sort();
if (pfList[p][pfList[p].Count() - 1].wh >= maxWh)
{
maxWh = pfList[p][pfList[p].Count() - 1].wh;
}
}
if (++this.autoCount >= 10)
{
this.changed.Invoke(this, new ModelEventArgs(COMMON_ACTIONS.STOP_LOADING));
this.changed.Invoke(this, new ModelEventArgs(VIEW_ACTIONS.AUTO_LOAD_LAST, this.keyword, pfList, this.timeslot));
}
else
{
this.changed.Invoke(this, new ModelEventArgs(VIEW_ACTIONS.AUTO_LOAD_NEXT_SUCCESS, this.keyword, pfList, this.timeslot));
}
}
}
public async void RequestSimPf()
{
int powerDistance = 50;
await Task.Run(() =>
{
this.similarDatas.ForEach(async(sm) =>
{
List <Data> datas = new List <Data>();
for (int d = 0; d < this.dayStore[(int)this.day].Count; d++)
{
string path = System.Windows.Forms.Application.StartupPath + @"\" + this.timeslot + @"\clustering_" + this.dayStore[(int)this.day][d].date.ToString("yyyyMMdd") + ".csv";
StreamReader sr = new StreamReader(path, Encoding.GetEncoding("euc-kr"));
while (!sr.EndOfStream)
{
string line = await sr.ReadLineAsync();
string uid = line.Split(',')[0];
if (uid == sm.uid)
{
datas.Add(new Data(line.Split(',').ToList()));
break;
}
}
sr.Close();
}
// datas 가 전부 만들어졌을 거임
List <PowerFrequency>[] pfList = new List <PowerFrequency> [TimeSlotUtils.TimeSlotToSize(this.timeslot)];
for (int p = 0; p < datas[0].timeSlot.Length; p++)
{
pfList[p] = new List <PowerFrequency>();
}
for (int d = 0; d < datas.Count; d++)
{
for (int t = 0; t < datas[d].timeSlot.Length; t++)
{
PowerFrequency findPf = pfList[t].Find(
(pf) => pf.wh == Math.Floor((Math.Round(datas[d].timeSlot[t] / 10) * 10) / powerDistance) * powerDistance);
if (findPf == null)
{
pfList[t].Add(new PowerFrequency(Math.Floor((Math.Round(datas[d].timeSlot[t] / 10) * 10) / powerDistance) * powerDistance));
}
else
{
findPf.IncFrequency();
}
}
}
for (int p = 0; p < datas[0].timeSlot.Length; p++)
{
pfList[p].Sort();
}
// PowerFrequency 도 구성 끝!
this.changed.Invoke(this, new ModelEventArgs(VIEW_ACTIONS.REQUEST_SIMPF_SUCCESS, string.Format("{0} ({1})", sm.uid, sm.frequency), pfList, this.timeslot));
});
});
}
public void RequestDayData(bool isNotify = true)
{
this.maxWh = 0;
int powerDistance = 50;
if (this.isLoaded)
{
Console.WriteLine(string.Format("{0} --- DayData", this.day));
List <PowerFrequency>[] pfList = new List <PowerFrequency> [TimeSlotUtils.TimeSlotToSize(this.timeslot)];
// cluster Power Frequency
List <PowerFrequency>[] cpfList = new List <PowerFrequency> [TimeSlotUtils.TimeSlotToSize(this.timeslot)];
for (int p = 0; p < this.dayStore[(int)this.day][0].data.timeSlot.Length; p++)
{
pfList[p] = new List <PowerFrequency>();
cpfList[p] = new List <PowerFrequency>();
}
for (int d = 0; d < this.dayStore[(int)this.day].Count; d++)
{
for (int t = 0; t < this.dayStore[(int)this.day][d].data.timeSlot.Length; t++)
{
PowerFrequency findPf = pfList[t].Find(
(pf) => pf.wh == Math.Floor((Math.Round(this.dayStore[(int)this.day][d].data.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance);
if (findPf == null)
{
pfList[t].Add(new PowerFrequency(Math.Floor((Math.Round(this.dayStore[(int)this.day][d].data.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance));
}
else
{
findPf.IncFrequency();
}
}
for (int t = 0; t < this.dayStore[(int)this.day][d].cluster.timeSlot.Length; t++)
{
PowerFrequency findPf = cpfList[t].Find(
(pf) => pf.wh == Math.Floor((Math.Round(this.dayStore[(int)this.day][d].cluster.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance);
if (findPf == null)
{
cpfList[t].Add(new PowerFrequency(Math.Floor((Math.Round(this.dayStore[(int)this.day][d].cluster.timeSlot[t] / 10) * 10) / powerDistance) * powerDistance));
}
else
{
findPf.IncFrequency();
}
}
}
for (int p = 0; p < this.dayStore[(int)this.day][0].data.timeSlot.Length; p++)
{
pfList[p].Sort();
cpfList[p].Sort();
if (pfList[p][pfList[p].Count() - 1].wh >= maxWh)
{
maxWh = pfList[p][pfList[p].Count() - 1].wh;
}
}
/*
* for (int p = 0; p < this.dayStore[(int)this.day][0].data.timeSlot.Length; p++)
* {
* pfList[p].ForEach((pf) =>
* {
* Console.WriteLine(pf.ToString());
* });
* }
*/
this.powerFrequencies = pfList;
this.clusterPowerFrequencies = cpfList;
if (isNotify)
{
this.changed.Invoke(this, new ModelEventArgs(VIEW_ACTIONS.REQUEST_DAYDATA_SUCCESS, this.dayStore[(int)this.day].ToArray(), this.powerFrequencies, this.clusterPowerFrequencies, this.timeslot, this.maxWh));
}
}
}
