/* public InputSynthese(DateTime date1, DateTime date2, string wilaya)
* {
* this.date1 = date1;
* this.date2 = date2;
* this.path=defaultpath + @"\" + wilaya + ".csv";
* this.dataset = new ManipDS(path);
* this.periode = dataset.requetteAIntervalle(date1, date2);
* }*/
public InputSynthese(DateTime date1, DateTime date2, string path)
{
this.date1 = date1;
this.date2 = date2;
this.path = path;
this.dataset = new ManipDS(path);
this.periode = dataset.requetteAIntervalle(date1, date2);
}
public void SetObservationTable()
{
_datatSet = new ManipDS(_path);
//Le partie du dataset contenant tous les observations de la meme saison
_donnees = _datatSet.getSaison(saison);
_donneesSaisonSuivante = _datatSet.getSaison(
((saison + 1) > Saison.automne) ? (Saison.hiver) : (saison + 1) //gestion d'une erreur
); //et la saison suivante
//************************************
//_donnees = FilterToDays(_donnees);
//_donneesSaisonSuivante = FilterToDays(_donneesSaisonsSuivante);
//************************************
// having the number of all observations, Initilizing the observation table.
observationsTable = new List <PredictionCouple>(_donnees.Count);
int delay = query.Duration;
int numberOfParameters = query.ParameterKeys.Count;
//****By tha way, knowing that the attributes in the application are different from
//those in the dataset, so we need a conversion. (Line: 115)
foreach (Observation observation in _donnees)
{
//Allocating new space for the double table
List <double> pastList = new List <double>(numberOfParameters);
List <double> futureList = new List <double>(numberOfParameters);
foreach (string key in query.ParameterKeys)
{
//**DEBUG ONLY****
//Console.WriteLine("Key : " + key + " in ds : " + consideredWilaya.getAttr(key) + " value of the 1st obs : " + observation
// .getDonnee(consideredWilaya.getAttr(key)) + " Datetime" + observation.GetDate().ToString());
//Console.Read();
//****************
//Filling the tables of doubles,
//TODO: Expections: key might not exist in the Dictionnary
pastList.Add(observation.getDonnee(
consideredWilaya.getAttr(key)
));
try
{
futureList.Add(
_donnees[_donnees.IndexOf(observation) + delay].getDonnee(
consideredWilaya.getAttr(key)
));
}
catch (ArgumentOutOfRangeException e)
{
//If we go beyond the first list of the current season we will get those in the next season
futureList.Add(
_donneesSaisonSuivante[_donnees.Count - _donnees.IndexOf(observation)].getDonnee(
consideredWilaya.getAttr(key)
));
}
catch (Exception e)
{
Console.Write(e);
throw;
}
}
double[] past = new double[numberOfParameters];
double[] future = new double[numberOfParameters];
past = pastList.ToArray();
future = futureList.ToArray();
observationsTable.Add(new PredictionCouple(past, future));
}
}
public void SetPath2(String path)
{
path2 = path;
this.dataset2 = new ManipDS(path2);
this.periode2 = dataset2.requetteAIntervalle(date1, date2);
}
/* public InputSynthesePrime () : base()
* {
* path2 = base.defaultpath + @"\ADRAR.csv";
* this.dataset2 = new ManipDS(path2);
* this.periode2 = dataset2.requetteAIntervalle(date1, date2);
* }*/
public InputSynthesePrime(DateTime date1, DateTime date2, string path1, string path2) : base(date1, date2, path1)
{
this.path2 = path2;
this.dataset2 = new ManipDS(path2);
this.periode2 = dataset2.requetteAIntervalle(date1, date2);
}
/*public InputSynthese()
* {
* date1 = date2 = DateTime.Today;
* path = defaultpath+ @"\ADRAR.csv";
* this.dataset = new ManipDS(path);
* this.periode = dataset.requetteAIntervalle(date1, date2);
* }*/
public void SetPath(String path)
{
this.path = path;
this.dataset = new ManipDS(path);
this.periode = dataset.requetteAIntervalle(date1, date2);
}
