// Copyright (C) GAMS Development and others 2008-2009
// All Rights Reserved.
// This code is published under the Eclipse Public License.
//
// $Id: OSosrl2gams.cpp 4292 2011-09-21 05:47:18Z kmartin $
//
// Authors: Stefan Vigerske

#include "OSResult.h"
#include "OSosrl2gams.hpp"
#include "OSrLReader.h"
#include "OSErrorClass.h"
#include "CoinHelperFunctions.hpp"

#ifdef HAVE_CSTRING
#include <cstring>
#else
#ifdef HAVE_STRING_H
#include <string.h>
#else
#error "don't have header file for string"
#endif
#endif

#include "gmomcc.h"
#include "gevmcc.h"

OSrL2Gams::OSrL2Gams(gmoHandle_t gmo_)
    : gmo(gmo_), gev(gmo_ ? (gevHandle_t)gmoEnvironment(gmo_) : NULL)
{ }

void OSrL2Gams::writeSolution(OSResult& osresult)
{
    if (osresult.general == NULL)
    {
        gmoModelStatSet(gmo, ModelStat_ErrorNoSolution);
        gmoSolveStatSet(gmo, SolveStat_SolverErr);
        gevLogStat(gev, "Error: OS result does not have header.");
        return;
    }
    else if (osresult.getGeneralStatusType() == "error")
    {
        gmoModelStatSet(gmo, ModelStat_ErrorNoSolution);
        gmoSolveStatSet(gmo, SolveStat_SolverErr);
        gevLogStatPChar(gev, "Error: OS result reports error: ");
        gevLogStat(gev, osresult.getGeneralMessage().c_str());
        return;
    }
    else if (osresult.getGeneralStatusType() == "warning")
    {
        gevLogStatPChar(gev, "Warning: OS result reports warning: ");
        gevLogStat(gev, osresult.getGeneralMessage().c_str());
    }

    gmoSolveStatSet(gmo, SolveStat_Normal);

    if (osresult.getSolutionNumber() == 0)
    {
        gmoModelStatSet(gmo, ModelStat_NoSolutionReturned);
    }
    else if (osresult.getSolutionStatusType(0) == "unbounded")
    {
        gmoModelStatSet(gmo, ModelStat_Unbounded);
    }
    else if (osresult.getSolutionStatusType(0) == "globallyOptimal")
    {
        gmoModelStatSet(gmo, ModelStat_OptimalGlobal);
    }
    else if (osresult.getSolutionStatusType(0) == "locallyOptimal")
    {
        gmoModelStatSet(gmo, ModelStat_OptimalLocal);
    }
    else if (osresult.getSolutionStatusType(0) == "optimal")
    {
        gmoModelStatSet(gmo, ModelStat_OptimalGlobal);
    }
    else if (osresult.getSolutionStatusType(0) == "bestSoFar")
    {
        gmoModelStatSet(gmo, ModelStat_NonOptimalIntermed);	// or should we report integer solution if integer var.?
    }
    else if (osresult.getSolutionStatusType(0) == "feasible")
    {
        gmoModelStatSet(gmo, ModelStat_NonOptimalIntermed);	// or should we report integer solution if integer var.?
    }
    else if (osresult.getSolutionStatusType(0) == "infeasible")
    {
        gmoModelStatSet(gmo, ModelStat_InfeasibleGlobal);
    }
    else if (osresult.getSolutionStatusType(0) == "stoppedByLimit")
    {
        gmoSolveStatSet(gmo, SolveStat_Iteration); // just a guess
        gmoModelStatSet(gmo, ModelStat_InfeasibleIntermed);
    }
    else if (osresult.getSolutionStatusType(0) == "unsure")
    {
        gmoModelStatSet(gmo, ModelStat_InfeasibleIntermed);
    }
    else if (osresult.getSolutionStatusType(0) == "error")
    {
        gmoModelStatSet(gmo, ModelStat_ErrorUnknown);
    }
    else if (osresult.getSolutionStatusType(0) == "other")
    {
        gmoModelStatSet(gmo, ModelStat_InfeasibleIntermed);
    }
    else
    {
        gmoModelStatSet(gmo, ModelStat_ErrorUnknown);
    }

    if (osresult.getVariableNumber() != gmoN(gmo))
    {
        gevLogStat(gev, "Error: Number of variables in OS result does not match with gams model.");
        gmoModelStatSet(gmo, ModelStat_ErrorNoSolution);
        gmoSolveStatSet(gmo, SolveStat_SystemErr);
        return;
    }
    if (osresult.getConstraintNumber() != gmoM(gmo))
    {
        gevLogStat(gev, "Error: Number of constraints in OS result does not match with gams model.");
        gmoModelStatSet(gmo, ModelStat_ErrorNoSolution);
        gmoSolveStatSet(gmo, SolveStat_SystemErr);
        return;
    }

    OptimizationSolution* sol = osresult.optimization->solution[0];

#define SMAG_DBL_NA -1E20  // there is a gmoNAinteger, but no gmoNAdouble
    int* colBasStat = CoinCopyOfArray((int*)NULL, gmoN(gmo), (int)Bstat_Super);
    int* colIndic   = CoinCopyOfArray((int*)NULL, gmoN(gmo), (int)Cstat_OK);
    double* colMarg = CoinCopyOfArray((double*)NULL, gmoN(gmo), SMAG_DBL_NA);
    double* colLev  = CoinCopyOfArray((double*)NULL, gmoN(gmo), SMAG_DBL_NA);

    int* rowBasStat = CoinCopyOfArray((int*)NULL, gmoM(gmo), (int)Bstat_Super);
    int* rowIndic   = CoinCopyOfArray((int*)NULL, gmoM(gmo), (int)Cstat_OK);
    double* rowLev  = CoinCopyOfArray((double*)NULL, gmoM(gmo), SMAG_DBL_NA);
    double* rowMarg = CoinCopyOfArray((double*)NULL, gmoM(gmo), SMAG_DBL_NA);

    //TODO
//	if (sol->constraints && sol->constraints->values) // set row levels, if available
//		for (std::vector<ConValue*>::iterator it(sol->constraints->values->con.begin());
//		it!=sol->constraints->values->con.end(); ++it)
//			rowLev[(*it)->idx]=(*it)->value;
    if (sol->constraints && sol->constraints->dualValues) // set row dual values, if available
//		for (std::vector<DualVarValue*>::iterator it(sol->constraints->dualValues->con.begin());
//		it!=sol->constraints->dualValues->con.end(); ++it)
//			rowMarg[(*it)->idx]=(*it)->value; // what are it->lbValue and it->ubValue ?
        for (int i=0; i < sol->constraints->dualValues->numberOfCon; i++)
            rowMarg[sol->constraints->dualValues->con[i]->idx] = sol->constraints->dualValues->con[i]->value;
    if (sol->variables && sol->variables->values) // set var values, if available
//		for (std::vector<VarValue*>::const_iterator it(sol->variables->values->var.begin());
//		it!=sol->variables->values->var.end(); ++it)
//			colLev[(*it)->idx]=(*it)->value;
        for (int i=0; i < sol->variables->values->numberOfVar; i++)
            colLev[sol->variables->values->var[i]->idx] = sol->variables->values->var[i]->value;
    if (sol->variables)
        for (int i=0; i<sol->variables->numberOfOtherVariableResults; ++i)
        {
            if (sol->variables->other[i]->name=="reduced costs")
            {
//				for (std::vector<OtherVarResult*>::const_iterator it(sol->variables->other[i]->var.begin());
//				it!=sol->variables->other[i]->var.end(); ++it)
//					colMarg[(*it)->idx]=atof((*it)->value.c_str());
                for (int j=0; j < sol->variables->other[i]->numberOfVar; j++)
                    colLev[sol->variables->other[i]->var[j]->idx] = atof(sol->variables->other[i]->var[j]->value.c_str());
                break;
            }
        }

    gmoSetSolution8(gmo, colLev, colMarg, rowMarg, rowLev, colBasStat, colIndic, rowBasStat, rowIndic);

    delete[] rowLev;
    delete[] rowMarg;
    delete[] rowBasStat;
    delete[] rowIndic;
    delete[] colLev;
    delete[] colMarg;
    delete[] colBasStat;
    delete[] colIndic;

    if (sol->objectives && sol->objectives->values && sol->objectives->values->obj[0])
        gmoSetHeadnTail(gmo, HobjVal, sol->objectives->values->obj[0]->value);
}

void OSrL2Gams::writeSolution(std::string& osrl)
{
    OSResult* osresult = NULL;
    OSrLReader osrl_reader;
    try
    {
        osresult = osrl_reader.readOSrL(osrl);
    }
    catch(const ErrorClass& error)
    {
        gevLogStat(gev, "Error parsing the OS result string:");
        gevLogStat(gev, error.errormsg.c_str());
        gmoModelStatSet(gmo, ModelStat_ErrorNoSolution);
        gmoSolveStatSet(gmo, SolveStat_SystemErr);
        return;
    }
    if (osresult)
        writeSolution(*osresult);
}
