EWaGI-Model/GoodsSector.java at main · pharting/EWaGI-Model · GitHub

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package eWAGI_Firms;

import java.util.ArrayList;

import repast.simphony.context.Context;
import repast.simphony.engine.schedule.ScheduledMethod;
import repast.simphony.space.continuous.ContinuousSpace;
import repast.simphony.space.grid.Grid;
import repast.simphony.util.ContextUtils;

public class GoodsSector extends Sector{

	ArrayList<GoodsMall> mallList;

	GoodsSector(ContinuousSpace<Object> space, Grid<Object> grid, int sectorID, double totalSizeLaborForce, int numFirms){

		super(space, grid,sectorID,  totalSizeLaborForce,  numFirms);
		mallList = new ArrayList<GoodsMall>();

	}


	//determines wage offer using greedy algorithm
	@ScheduledMethod (start = 1, interval = 1, priority = 79)
	public void clearOrderBooks1() {

		for(int i=0; i < mallList.size();i++) {


			for(int j=0; j < mallList.get(i).firmInventories.size();j++) {

				mallList.get(i).firmInventories.get(j).orderBook.clear();

			}

		}


	}


	//determines wage offer using greedy algorithm
		@ScheduledMethod (start = 1, interval = 1, priority = 55)
		public void allocateOrders1() {

			for(int i=0; i < mallList.size();i++) {

				mallList.get(i).setup();

				mallList.get(i).allocateOrders();

			}


		}


		//determines wage offer using greedy algorithm
		@ScheduledMethod (start = 1, interval = 1, priority = 50)
		public void clearOrderBooks2() {

			for(int i=0; i < mallList.size();i++) {

				for(int j=0; j < mallList.get(i).firmInventories.size();j++) {

					mallList.get(i).firmInventories.get(j).orderBook.clear();

				}

			}


		}


		//determines wage offer using greedy algorithm
				@ScheduledMethod (start = 1, interval = 1, priority = 47)
				public void allocateOrders2() {

					for(int i=0; i < mallList.size();i++) {

						mallList.get(i).allocateOrders();

						mallList.get(i).closeMall();

					}


				}


				//determines wage offer using greedy algorithm
				@ScheduledMethod (start = 1, interval = 1, priority = 47)
				public void computeStatistics() {

					double totalSales = 0;
					double totalKnowledgeStock=0;
					avgKnowledgeStock = 0;
					priceIndex = 0;

					for(int i=0; i < mallList.size();i++) {

						for(int j=0; j < mallList.get(i).firmInventories.size();j++) {

							totalSales += mallList.get(i).firmInventories.get(j).soldQuantities;

							priceIndex += mallList.get(i).firmInventories.get(j).soldQuantities*mallList.get(i).firmInventories.get(j).price;


						}

					}


					priceIndex = priceIndex / totalSales;

					int counter = 0;

					Context  context = ContextUtils.getContext(this);

					//TODO: Implement mall choice
					Iterable<GoodsFirm> allFirms = context.getObjects(GoodsFirm.class);
					for(GoodsFirm obj : allFirms) {

						if(obj.ownSector.sectorID == sectorID) {

							totalKnowledgeStock += obj.rdKnowledgeStock;
							counter ++;

						}

					}

					if(counter>0)
						avgKnowledgeStock = totalKnowledgeStock/counter;

				}


}