//
// Created by baiguwen on 2022/4/24.
//
#include <iostream>
#include "white_noise.h"
#include <fstream>
#include <string>
#include <sstream>
#include <vector>
//#include <sciplot/sciplot.hpp>

int main() {
    white_noise algorithm;
    double white_noise_stddev=2;
    double white_noise_mean=0;

    algorithm.set_config(
            {
                    {"WHITE_NOISE_MEAN",     white_noise_mean},
                    {"WHITE_NOISE_STDDEV", white_noise_stddev},

            }
    );
    std::vector <std::vector<double>> user_arr;
    std::ifstream fp("C:/data/user_data.csv");
    std::string line;
    getline(fp,line);
    while (getline(fp,line)){
        std::vector <double> data_line;
        std::string number;
        std::istringstream readstr(line);
        for(int j = 0;j < 2814;j++){
            getline(readstr,number,',');
            data_line.push_back(atof(number.c_str()));
        }
        user_arr.push_back(data_line);
    }
    std::ofstream outfile;
    outfile.open("C:/data/user_data8.csv", std::ios::out);
    outfile<<"origin"<<','<<"white_noise"<<std::endl;
    for (int i = 0; i <2814; ++i) {
        user_arr[i][1]=algorithm.eval(user_arr[i][0]);
        std::cout << i << "\t" << user_arr[i][1] << std::endl;
        outfile<<user_arr[i][0]<<','<<user_arr[i][1]<<std::endl;
    }
    outfile.close();

    return 0;
}
//    int length=round(white_noise_stddev)*6;
//    std::vector<int>    x(length+1,0);
//for(int i=0;i<length+1;i++){
//    x[i]=100-length/2+round(white_noise_mean)+i;
//}
//
//    std::vector<double> virtual_data(10000, 100.0);
//    std::vector<double>  white_noise_data;
//    std::vector<int>  white_noise_data_number(length+1,0);
//    sciplot::Plot       plot;
//
//    for (auto iter: virtual_data) {
//        double a=algorithm.eval(iter);
//        white_noise_data.push_back (round(a));
//        std::cout << iter << "\t" << a << std::endl;
//    }
//    for(int k=0;k<virtual_data.size();k++){
//        for(int l=0;l<length+1;l++){
//            if(white_noise_data[k]==x[l])
//                white_noise_data_number[l]++;
//
//
//        }
//
//    }
//
//    plot.drawCurve(x, white_noise_data_number).label("td");
//    plot.show();
//
//    return 0;
//}