from MLL.Algorithm.evolutionAlgorithmGroupItem import *
from MLL.Algorithm.evolutionAlgorithm import *
import MLL.Utility.globalSettings as gs
from MLL.DAO.dataLoader import *
from MLL.Algorithm.objectiveFunction import *
import os,sys
if __name__ == '__main__':
# set entry point for other packages.
# other packages use this to determine file locations.
# gs._project_entry_point_ = os.getcwd()
# print 'Entry point has been set to '+gs._project_entry_point_
# initialize data loader
dr = dataLoader()
dr.initialize()
# load some data. Will change to batch work later
dr.loadSalesData(gs._project_entry_point_ + "/../preprocess/output/Monthly_Sold_Waste/10 October_Week 3.csv","October Week 3","efficiency")
dr.loadSalesData(gs._project_entry_point_ + "/../preprocess/output/Monthly_Sold_Waste/10 October_Week 4.csv","October Week 4","efficiency")
# create your algorithm prototype here
for i in range(1):
sys.stdout.write(str(i)+' ')
evolutionAlgorithmController = evolutionAlgorithmGroupItem()
#evolutionAlgorithmController = evolutionAlgorithm()
# get data from data loader
evolutionAlgorithmController.getData(dr)
resultForEvolutionAlgorithm = evolutionAlgorithmController.generateRecommendation()
def __init__(self):
self.dr = dataLoader()