package org.opentrafficsim.imb.kpi.demo;

import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.Map;
import java.util.Set;

import org.djunits.unit.DurationUnit;
import org.djunits.unit.FrequencyUnit;
import org.djunits.unit.LengthUnit;
import org.djunits.unit.TimeUnit;
import org.djunits.value.vdouble.scalar.Duration;
import org.djunits.value.vdouble.scalar.Frequency;
import org.djunits.value.vdouble.scalar.Length;
import org.djunits.value.vdouble.scalar.Time;
import org.opentrafficsim.imb.IMBException;
import org.opentrafficsim.imb.connector.IMBConnector;
import org.opentrafficsim.imb.kpi.GtuTypeData;
import org.opentrafficsim.imb.kpi.IMBSampler;
import org.opentrafficsim.imb.kpi.ImbKpiTransceiver;
import org.opentrafficsim.imb.kpi.LaneData;
import org.opentrafficsim.imb.kpi.LinkData;
import org.opentrafficsim.imb.kpi.NodeData;
import org.opentrafficsim.kpi.interfaces.GtuTypeDataInterface;
import org.opentrafficsim.kpi.sampling.KpiGtuDirectionality;
import org.opentrafficsim.kpi.sampling.KpiLaneDirection;
import org.opentrafficsim.kpi.sampling.Query;
import org.opentrafficsim.kpi.sampling.meta.MetaDataGtuType;
import org.opentrafficsim.kpi.sampling.meta.MetaDataSet;

import nl.tno.imb.TConnection;
import nl.tudelft.simulation.language.d3.CartesianPoint;

/**
 * <p>
 * Copyright (c) 2013-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved. <br>
 * BSD-style license. See <a href="http://opentrafficsim.org/node/13">OpenTrafficSim License</a>.
 * <p>
 * @version $Revision$, $LastChangedDate$, by $Author$, initial version 4 nov. 2016 <br>
 * @author <a href="http://www.tbm.tudelft.nl/averbraeck">Alexander Verbraeck</a>
 * @author <a href="http://www.tudelft.nl/pknoppers">Peter Knoppers</a>
 * @author <a href="http://www.transport.citg.tudelft.nl">Wouter Schakel</a>
 */

public class VissimQueryKPI
{

    /**
     * Runs the module from model control.
     * @param imbConnection TConnection; the connection to IMB
     */
    public static void run(final TConnection imbConnection)
    {
        try
        {
            start(new IMBConnector(imbConnection));
        }
        catch (IMBException exception)
        {
            throw new RuntimeException(exception);
        }
    }

    /**
     * @param args String[]; command line args
     * @throws IMBException in case of IMB problem
     */
    public static void main(String[] args) throws IMBException
    {

        // connection
        String host = "localhost"; // "vps17642.public.cloudvps.com";
        int port = 4000;
        String modelName = "KPI Model";
        int modelId = 3456;
        String federation = "OTS_RT";
        if (args.length > 0 && args.length < 3)
        {
            throw new RuntimeException("Need three arguments in KPI module.");
        }
        if (args.length == 3)
        {
            host = args[0];
            port = Integer.valueOf(args[1]);
            federation = args[2];
        }

        IMBConnector imbConnector;
        try
        {
            imbConnector = new IMBConnector(host, port, modelName, modelId, federation);
        }
        catch (IMBException exception)
        {
            throw new RuntimeException(exception);
        }
        start(imbConnector);

    }

    /**
     * Starts the KPI module
     * @param imbConnector IMBConnector; the connector to the IMB bus
     * @throws IMBException when making the query fails
     */
    private static void start(final IMBConnector imbConnector) throws IMBException
    {

        // nodes
        Map<String, NodeData> nodes = new LinkedHashMap<>();
        for (int i = 0; i < net.length; i++)
        {
            for (int j = 0; j < 2; j++)
            {
                if (!nodes.containsKey(net[i][j]))
                {
                    nodes.put(net[i][j], new NodeData(net[i][j], new CartesianPoint(0.0, 0.0, 0.0)));
                }
            }
        }

        // links
        Map<String, LinkData> links = new LinkedHashMap<>();
        for (int i = 0; i < net.length; i++)
        {
            links.put(net[i][2], new LinkData(net[i][2], nodes.get(net[i][0]), nodes.get(net[i][1]),
                    new Length(Double.valueOf(net[i][3]), LengthUnit.SI)));
        }

        // lanes
        Map<String, LaneData> lanes = new LinkedHashMap<>();
        for (int i = 0; i < net.length; i++)
        {
            int n = Integer.valueOf(net[i][4]);
            for (int j = 1; j <= n; j++)
            {
                String id = net[i][2] + "." + j;
                lanes.put(id, new LaneData(links.get(net[i][2]), id, links.get(net[i][2]).getLength()));
            }
        }

        // sampler
        IMBSampler sampler;
        try
        {
            sampler = new IMBSampler(imbConnector);
        }
        catch (IMBException exception)
        {
            throw new RuntimeException("Could not connect the Vissim query KPI to the IMB.", exception);
        }

        // query
        Set<GtuTypeDataInterface> gtuTypes;
        String id;
        String queryDescription;
        MetaDataSet metaDataSet;

        id = "All";
        queryDescription = "All query for VISSIM model.";
        metaDataSet = new MetaDataSet();
        makeQuery(sampler, id, queryDescription, metaDataSet, lanes, imbConnector);

        id = "Equipped";
        queryDescription = "Equipped query for VISSIM model.";
        metaDataSet = new MetaDataSet();
        gtuTypes = new LinkedHashSet<>();
        gtuTypes.add(new GtuTypeData("car_equipped"));
        gtuTypes.add(new GtuTypeData("truck_equipped"));
        metaDataSet.put(new MetaDataGtuType(), gtuTypes);
        makeQuery(sampler, id, queryDescription, metaDataSet, lanes, imbConnector);

        id = "Not equipped";
        queryDescription = "Not equipped query for VISSIM model.";
        metaDataSet = new MetaDataSet();
        gtuTypes = new LinkedHashSet<>();
        gtuTypes.add(new GtuTypeData("car"));
        gtuTypes.add(new GtuTypeData("truck"));
        metaDataSet.put(new MetaDataGtuType(), gtuTypes);
        makeQuery(sampler, id, queryDescription, metaDataSet, lanes, imbConnector);

    }

    /**
     * @param sampler IMBSampler; sampler
     * @param id String; id
     * @param queryDescription String; query description
     * @param metaDataSet MetaDataSet; meta data set
     * @param lanes Map&lt;String,LaneData&gt;; lanes
     * @param imbConnector IMBConnector; imb connector
     * @throws IMBException on connection error
     */
    private static void makeQuery(IMBSampler sampler, String id, String queryDescription, MetaDataSet metaDataSet,
            Map<String, LaneData> lanes, IMBConnector imbConnector) throws IMBException
    {
        Query query = new Query(sampler, id, queryDescription, metaDataSet, new Frequency(2.0, FrequencyUnit.PER_MINUTE));
        for (String laneId : lanes.keySet())
        {
            query.addSpaceTimeRegion(new KpiLaneDirection(lanes.get(laneId), KpiGtuDirectionality.DIR_PLUS), Length.ZERO,
                    lanes.get(laneId).getLength(), Time.ZERO, new Time(1.0, TimeUnit.BASE_HOUR));
        }
        sampler.addImbKpiTransceiver(new ImbKpiTransceiver(imbConnector, Time.ZERO, imbConnector.getModelName(), query,
                new Duration(30.0, DurationUnit.SI)));
    }

    /**
     * Hard-coded vissim network: from node, to node, link id, length [m], number of lanes. Lane id's are defined as linkId.#.
     * Lane lengths are equal to the link lengths.
     */
    private final static String[][] net = new String[][] {new String[] {"461", "462", "10062", "7.71", "1"},
            new String[] {"463", "464", "10063", "8.02", "1"}, new String[] {"457", "458", "10060", "7.18", "1"},
            new String[] {"459", "460", "10061", "6.81", "1"}, new String[] {"469", "470", "10066", "23.42", "1"},
            new String[] {"471", "472", "10067", "12.55", "1"}, new String[] {"465", "466", "10064", "30.32", "1"},
            new String[] {"467", "468", "10065", "30.82", "1"}, new String[] {"327", "328", "165", "51.34", "2"},
            new String[] {"497", "498", "10080", "24.54", "1"}, new String[] {"473", "474", "10068", "18.77", "1"},
            new String[] {"475", "476", "10069", "29.91", "1"}, new String[] {"361", "362", "10012", "14.69", "2"},
            new String[] {"499", "500", "10081", "25.86", "1"}, new String[] {"265", "266", "133", "157.20", "1"},
            new String[] {"263", "264", "132", "142.13", "1"}, new String[] {"261", "262", "131", "107.87", "1"},
            new String[] {"259", "260", "130", "35.15", "1"}, new String[] {"273", "274", "137", "57.80", "1"},
            new String[] {"271", "272", "136", "57.80", "1"}, new String[] {"269", "270", "135", "124.43", "1"},
            new String[] {"267", "268", "134", "127.02", "1"}, new String[] {"547", "548", "10105", "13.89", "1"},
            new String[] {"545", "546", "10104", "10.74", "1"}, new String[] {"277", "278", "139", "66.33", "1"},
            new String[] {"275", "276", "138", "66.33", "1"}, new String[] {"539", "540", "10101", "15.03", "1"},
            new String[] {"329", "330", "166", "261.86", "3"}, new String[] {"543", "544", "10103", "15.33", "1"},
            new String[] {"541", "542", "10102", "12.60", "1"}, new String[] {"47", "48", "24", "816.44", "2"},
            new String[] {"49", "50", "25", "182.51", "2"}, new String[] {"51", "52", "26", "157.13", "1"},
            new String[] {"53", "54", "27", "93.81", "2"}, new String[] {"39", "40", "20", "60.87", "2"},
            new String[] {"41", "42", "21", "1456.31", "2"}, new String[] {"43", "44", "22", "110.12", "1"},
            new String[] {"45", "46", "23", "29.15", "3"}, new String[] {"317", "318", "160", "70.95", "1"},
            new String[] {"629", "630", "10146", "8.04", "2"}, new String[] {"55", "56", "28", "262.64", "4"},
            new String[] {"57", "58", "29", "73.82", "3"}, new String[] {"319", "320", "161", "68.62", "1"},
            new String[] {"609", "610", "10136", "18.63", "1"}, new String[] {"635", "636", "10149", "9.74", "1"},
            new String[] {"7", "8", "4", "56.82", "1"}, new String[] {"15", "16", "8", "301.40", "2"},
            new String[] {"323", "324", "163", "51.11", "2"}, new String[] {"523", "524", "10093", "16.63", "2"},
            new String[] {"237", "238", "119", "25.50", "1"}, new String[] {"479", "480", "10071", "28.13", "1"},
            new String[] {"455", "456", "10059", "20.53", "2"}, new String[] {"453", "454", "10058", "12.22", "1"},
            new String[] {"451", "452", "10057", "6.98", "1"}, new String[] {"449", "450", "10056", "8.94", "1"},
            new String[] {"357", "358", "10010", "22.21", "2"}, new String[] {"445", "446", "10054", "21.60", "1"},
            new String[] {"443", "444", "10053", "12.86", "2"}, new String[] {"441", "442", "10052", "15.68", "1"},
            new String[] {"439", "440", "10051", "16.35", "2"}, new String[] {"437", "438", "10050", "13.35", "1"},
            new String[] {"239", "240", "120", "25.50", "1"}, new String[] {"241", "242", "121", "36.63", "1"},
            new String[] {"243", "244", "122", "36.63", "1"}, new String[] {"245", "246", "123", "28.66", "1"},
            new String[] {"247", "248", "124", "28.66", "1"}, new String[] {"249", "250", "125", "57.15", "1"},
            new String[] {"251", "252", "126", "57.95", "1"}, new String[] {"253", "254", "127", "19.70", "1"},
            new String[] {"255", "256", "128", "19.67", "1"}, new String[] {"257", "258", "129", "108.25", "1"},
            new String[] {"565", "566", "10114", "6.76", "1"}, new String[] {"567", "568", "10115", "21.47", "1"},
            new String[] {"331", "332", "167", "133.04", "4"}, new String[] {"563", "564", "10113", "8.31", "1"},
            new String[] {"389", "390", "10026", "47.68", "2"}, new String[] {"529", "530", "10096", "15.95", "1"},
            new String[] {"235", "236", "118", "41.32", "1"}, new String[] {"117", "118", "59", "80.44", "1"},
            new String[] {"115", "116", "58", "78.53", "1"}, new String[] {"109", "110", "55", "313.42", "1"},
            new String[] {"107", "108", "54", "79.51", "2"}, new String[] {"113", "114", "57", "918.90", "2"},
            new String[] {"111", "112", "56", "238.80", "1"}, new String[] {"101", "102", "51", "67.18", "1"},
            new String[] {"99", "100", "50", "164.45", "1"}, new String[] {"105", "106", "53", "40.13", "2"},
            new String[] {"103", "104", "52", "373.22", "1"}, new String[] {"573", "574", "10118", "22.82", "1"},
            new String[] {"515", "516", "10089", "30.90", "1"}, new String[] {"391", "392", "10027", "49.33", "2"},
            new String[] {"553", "554", "10108", "14.15", "1"}, new String[] {"325", "326", "164", "50.85", "1"},
            new String[] {"435", "436", "10049", "24.02", "2"}, new String[] {"371", "372", "10017", "26.26", "1"},
            new String[] {"369", "370", "10016", "23.79", "1"}, new String[] {"477", "478", "10070", "16.50", "1"},
            new String[] {"417", "418", "10040", "16.76", "2"}, new String[] {"419", "420", "10041", "15.49", "2"},
            new String[] {"421", "422", "10042", "21.25", "2"}, new String[] {"395", "396", "10029", "18.85", "1"},
            new String[] {"425", "426", "10044", "10.58", "2"}, new String[] {"427", "428", "10045", "14.10", "2"},
            new String[] {"429", "430", "10046", "25.53", "1"}, new String[] {"431", "432", "10047", "19.60", "1"},
            new String[] {"229", "230", "115", "88.60", "1"}, new String[] {"227", "228", "114", "83.61", "1"},
            new String[] {"175", "176", "88", "8.81", "1"}, new String[] {"177", "178", "89", "416.80", "1"},
            new String[] {"221", "222", "111", "43.34", "1"}, new String[] {"219", "220", "110", "43.34", "1"},
            new String[] {"225", "226", "113", "65.06", "1"}, new String[] {"223", "224", "112", "43.38", "1"},
            new String[] {"163", "164", "82", "12.86", "1"}, new String[] {"165", "166", "83", "333.72", "1"},
            new String[] {"159", "160", "80", "367.71", "1"}, new String[] {"161", "162", "81", "13.66", "1"},
            new String[] {"171", "172", "86", "19.56", "1"}, new String[] {"173", "174", "87", "7.62", "1"},
            new String[] {"167", "168", "84", "349.30", "1"}, new String[] {"169", "170", "85", "16.69", "1"},
            new String[] {"549", "550", "10106", "51.27", "1"}, new String[] {"363", "364", "10013", "19.80", "2"},
            new String[] {"491", "492", "10077", "35.52", "1"}, new String[] {"483", "484", "10073", "21.83", "1"},
            new String[] {"525", "526", "10094", "7.62", "1"}, new String[] {"489", "490", "10076", "29.56", "2"},
            new String[] {"593", "594", "10128", "29.66", "1"}, new String[] {"537", "538", "10100", "17.94", "1"},
            new String[] {"5", "6", "3", "56.13", "2"}, new String[] {"13", "14", "7", "87.97", "1"},
            new String[] {"519", "520", "10091", "34.54", "1"}, new String[] {"379", "380", "10021", "18.05", "2"},
            new String[] {"487", "488", "10075", "26.51", "2"}, new String[] {"605", "606", "10134", "7.90", "1"},
            new String[] {"607", "608", "10135", "17.30", "1"}, new String[] {"365", "366", "10014", "26.61", "1"},
            new String[] {"611", "612", "10137", "8.28", "1"}, new String[] {"597", "598", "10130", "22.38", "1"},
            new String[] {"599", "600", "10131", "0.15", "1"}, new String[] {"601", "602", "10132", "25.55", "2"},
            new String[] {"603", "604", "10133", "8.63", "1"}, new String[] {"531", "532", "10097", "14.77", "1"},
            new String[] {"407", "408", "10035", "14.63", "1"}, new String[] {"615", "616", "10139", "8.74", "3"},
            new String[] {"215", "216", "108", "87.20", "1"}, new String[] {"217", "218", "109", "43.38", "1"},
            new String[] {"415", "416", "10039", "30.57", "3"}, new String[] {"413", "414", "10038", "31.75", "1"},
            new String[] {"203", "204", "102", "46.91", "1"}, new String[] {"205", "206", "103", "62.52", "1"},
            new String[] {"199", "200", "100", "45.54", "1"}, new String[] {"201", "202", "101", "47.88", "1"},
            new String[] {"211", "212", "106", "33.56", "1"}, new String[] {"213", "214", "107", "37.56", "1"},
            new String[] {"207", "208", "104", "62.45", "1"}, new String[] {"209", "210", "105", "84.15", "1"},
            new String[] {"77", "78", "39", "71.45", "2"}, new String[] {"75", "76", "38", "192.09", "2"},
            new String[] {"613", "614", "10138", "8.34", "3"}, new String[] {"65", "66", "33", "861.78", "2"},
            new String[] {"63", "64", "32", "242.25", "3"}, new String[] {"61", "62", "31", "91.81", "1"},
            new String[] {"59", "60", "30", "86.58", "1"}, new String[] {"73", "74", "37", "172.76", "2"},
            new String[] {"71", "72", "36", "509.55", "3"}, new String[] {"69", "70", "35", "391.52", "3"},
            new String[] {"67", "68", "34", "36.36", "3"}, new String[] {"517", "518", "10090", "25.72", "2"},
            new String[] {"521", "522", "10092", "29.67", "1"}, new String[] {"433", "434", "10048", "22.20", "1"},
            new String[] {"555", "556", "10109", "38.98", "1"}, new String[] {"619", "620", "10141", "11.78", "3"},
            new String[] {"345", "346", "10004", "5.53", "3"}, new String[] {"623", "624", "10143", "15.51", "1"},
            new String[] {"621", "622", "10142", "15.56", "1"}, new String[] {"627", "628", "10145", "6.59", "2"},
            new String[] {"527", "528", "10095", "14.12", "1"}, new String[] {"631", "632", "10147", "12.65", "2"},
            new String[] {"347", "348", "10005", "13.16", "1"}, new String[] {"411", "412", "10037", "15.52", "2"},
            new String[] {"633", "634", "10148", "16.67", "1"}, new String[] {"575", "576", "10119", "19.51", "1"},
            new String[] {"351", "352", "10007", "14.40", "2"}, new String[] {"349", "350", "10006", "29.45", "1"},
            new String[] {"119", "120", "60", "731.84", "2"}, new String[] {"121", "122", "61", "91.86", "1"},
            new String[] {"123", "124", "62", "90.92", "1"}, new String[] {"125", "126", "63", "211.45", "2"},
            new String[] {"127", "128", "64", "61.35", "2"}, new String[] {"129", "130", "65", "2516.84", "2"},
            new String[] {"131", "132", "66", "91.76", "1"}, new String[] {"133", "134", "67", "92.50", "1"},
            new String[] {"135", "136", "68", "2287.27", "2"}, new String[] {"137", "138", "69", "715.82", "2"},
            new String[] {"385", "386", "10024", "21.53", "1"}, new String[] {"387", "388", "10025", "23.69", "2"},
            new String[] {"381", "382", "10022", "17.01", "1"}, new String[] {"383", "384", "10023", "14.72", "2"},
            new String[] {"377", "378", "10020", "22.54", "2"}, new String[] {"339", "340", "10001", "39.92", "1"},
            new String[] {"409", "410", "10036", "8.24", "1"}, new String[] {"341", "342", "10002", "17.25", "1"},
            new String[] {"569", "570", "10116", "16.97", "1"}, new String[] {"399", "400", "10031", "28.34", "1"},
            new String[] {"337", "338", "10000", "39.26", "2"}, new String[] {"343", "344", "10003", "17.37", "1"},
            new String[] {"589", "590", "10126", "6.38", "1"}, new String[] {"511", "512", "10087", "30.29", "2"},
            new String[] {"397", "398", "10030", "28.34", "2"}, new String[] {"591", "592", "10127", "0.15", "1"},
            new String[] {"3", "4", "2", "118.92", "2"}, new String[] {"321", "322", "162", "126.30", "4"},
            new String[] {"403", "404", "10033", "20.02", "3"}, new String[] {"11", "12", "6", "63.83", "3"},
            new String[] {"401", "402", "10032", "23.38", "1"}, new String[] {"639", "640", "10152", "0.15", "4"},
            new String[] {"551", "552", "10107", "16.69", "1"}, new String[] {"625", "626", "10144", "10.98", "3"},
            new String[] {"423", "424", "10043", "10.53", "1"}, new String[] {"617", "618", "10140", "11.43", "1"},
            new String[] {"571", "572", "10117", "17.52", "1"}, new String[] {"197", "198", "99", "48.25", "1"},
            new String[] {"195", "196", "98", "83.79", "2"}, new String[] {"375", "376", "10019", "20.91", "1"},
            new String[] {"373", "374", "10018", "19.03", "1"}, new String[] {"333", "334", "168", "47.53", "4"},
            new String[] {"335", "336", "169", "129.99", "1"}, new String[] {"393", "394", "10028", "52.26", "1"},
            new String[] {"181", "182", "91", "49.61", "1"}, new String[] {"179", "180", "90", "368.08", "1"},
            new String[] {"185", "186", "93", "291.44", "1"}, new String[] {"183", "184", "92", "58.83", "1"},
            new String[] {"189", "190", "95", "24.67", "1"}, new String[] {"187", "188", "94", "131.86", "1"},
            new String[] {"193", "194", "97", "75.82", "2"}, new String[] {"191", "192", "96", "22.27", "1"},
            new String[] {"21", "22", "11", "74.14", "1"}, new String[] {"19", "20", "10", "570.77", "2"},
            new String[] {"25", "26", "13", "81.82", "1"}, new String[] {"23", "24", "12", "86.14", "2"},
            new String[] {"29", "30", "15", "139.73", "2"}, new String[] {"27", "28", "14", "136.32", "2"},
            new String[] {"33", "34", "17", "70.53", "1"}, new String[] {"31", "32", "16", "699.43", "2"},
            new String[] {"37", "38", "19", "210.12", "1"}, new String[] {"35", "36", "18", "1118.59", "2"},
            new String[] {"535", "536", "10099", "46.21", "1"}, new String[] {"533", "534", "10098", "16.22", "1"},
            new String[] {"501", "502", "10082", "17.40", "1"}, new String[] {"233", "234", "117", "41.25", "1"},
            new String[] {"405", "406", "10034", "13.94", "1"}, new String[] {"485", "486", "10074", "15.06", "1"},
            new String[] {"231", "232", "116", "112.02", "1"}, new String[] {"299", "300", "151", "190.45", "2"},
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}