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#include <iostream>
#include <Eigen/Dense>
#include <boost/program_options.hpp>
#include <string>
#include "tools/easylogging++.h"
#include "model/ranksvmtn.h"
#include "tools/fileDataProvider.h"

INITIALIZE_EASYLOGGINGPP

using Eigen::MatrixXd;
namespace po = boost::program_options;

po::variables_map vm;

int train() {
    RSVM *rsvm;
    rsvm = RSVM::loadModel(vm["model"].as<std::string>().c_str());
    FileDP dp(vm["feature"].as<std::string>().c_str());
    DataSet D;
    Labels L;
    while (!dp.EOFile())
    {
        dp.getDataSet(D);
        dp.getLabel(L);
        rsvm->train(D,L);
    }
    rsvm->saveModel(vm["output"].as<std::string>().c_str());
    delete rsvm;
    return 0;
}

int predict() {
    RSVM *rsvm;
    rsvm = RSVM::loadModel(vm["model"].as<std::string>().c_str());
    FileDP dp(vm["feature"].as<std::string>().c_str());
    DataSet D;
    MatrixXd L;
    while (!dp.EOFile())
    {
        dp.getDataSet(D);
        rsvm->predict(D,L);
    }
    delete rsvm;
    return 0;
}

int main(int argc, char **argv) {
    // Defining program options
    po::options_description desc("Allowed options");
    desc.add_options()
            ("help,h", "produce help message")
            ("train,T", "training model")
            ("validate,V", "validate model")
            ("predict,P", "use model for prediction")
            ("model,m", po::value<std::string>(), "set input model file")
            ("output,o", po::value<std::string>(), "set output model file")
            ("feature,i", po::value<std::string>(), "set input feature file");

    // Parsing program options
    po::store(po::parse_command_line(argc, argv, desc), vm);
    po::notify(vm);

    // Print help if necessary
    if (vm.count("help") || !(vm.count("train") || vm.count("validate") || vm.count("predict"))) {
        std::cout << desc;
        return 0;
    }

    if (vm.count("train")) {
        LOG(INFO) << "Program option: training";
        train();
    }
    else if (vm.count("validate")) {
        LOG(INFO) << "Program option: validate";
        predict();
    }
    else if (vm.count("predict")) {
        LOG(INFO) << "Program option: predict";
        predict();
    }
    return 0;
}