EWaGI-Model/ServiceSector.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 ServiceSector extends Sector{

		ArrayList<ServiceMall> mallList;
		ArrayList<ServiceFirm> firmList;

		double totalMarketSales;

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

			super(space, grid,sectorID,  totalSizeLaborForce,  numFirms);

			mallList = new ArrayList<ServiceMall>();
			firmList = new ArrayList<ServiceFirm>();
		}


		//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;
						priceIndex = 0;
						double totalKnowledgeStock=0;
						avgKnowledgeStock = 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<ServiceFirm> allFirms = context.getObjects(ServiceFirm.class);
						for(ServiceFirm obj : allFirms) {

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

								totalKnowledgeStock += obj.rdKnowledgeStock;
								counter ++;

							}

						}

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

					}


	}