#include "exports.hpp"
#include "graph.hpp"
#include "graph_ccm.hpp"
#include "graph_powerlaw.hpp"
#include "switchchain.hpp"
#include <algorithm>
#include <fstream>
#include <iostream>
#include <numeric>
#include <random>
#include <vector>

int main(int argc, char* argv[]) {
    // Simulation parameters
    const int numVerticesMin = 200;
    const int numVerticesMax = 2000;
    const int numVerticesStep = 400;

    float tauValues[] = {2.1f, 2.2f, 2.3f, 2.4f, 2.5f, 2.6f, 2.7f, 2.8f, 2.9f};
    //float tauValues[] = {2.1f, 2.3f, 2.5f, 2.7f, 2.9f};

    const int totalDegreeSamples = 200;

    auto getMixingTime = [](int n, float tau) {
        return int(50.0f * (50.0f - 30.0f * (tau - 2.0f)) * n);
    };
    auto getMeasurements = [](int n, float tau) {
        (void)n;
        (void)tau;
        return 100;
    };
    auto getMeasureSkip = [](int n, float tau) {
        (void)tau;
        return 10 * n; // Take a sample every ... steps
    };

    // Output file
    std::ofstream outfile;
    if (argc >= 2)
        outfile.open(argv[1]);
    else
        outfile.open("graphdata_ccm_initialtris.m");
    if (!outfile.is_open()) {
        std::cout << "ERROR: Could not open output file.\n";
        return 1;
    }

    // Output Mathematica-style comment to indicate file contents
    outfile << "(*\n";
    outfile << "n from " << numVerticesMin << " to " << numVerticesMax
            << " step " << numVerticesStep << std::endl;
    outfile << "tauValues: " << tauValues << std::endl;
    outfile << "degreeSamples: " << totalDegreeSamples << std::endl;
    outfile << "mixingTime: 50 * (50 - 30 (tau - 2)) n\n";
    outfile << "measurements: 100\n";
    outfile << "measureSkip: 10 n\n";
    outfile << "data:\n";
    outfile << "1: {n,tau}\n";
    outfile << "2: avgTriangles\n";
    outfile << "3: {ccmTris1, ccmsrate1} \n";
    outfile << "4: {ccmTris2, ccmsrate2} \n";
    outfile << "*)" << std::endl;
 
    // Mathematica does not accept normal scientific notation
    outfile << std::fixed;
    outfile << '{';
    bool outputComma = false;

    std::mt19937 rng(std::random_device{}());
    Graph g;
    for (int numVertices = numVerticesMin; numVertices <= numVerticesMax;
         numVertices += numVerticesStep) {
        for (float tau : tauValues) {
            // For a single n,tau take samples over several instances of
            // the degree distribution.
            for (int degreeSample = 0; degreeSample < totalDegreeSamples;
                 ++degreeSample) {
                DegreeSequence ds;
                generatePowerlawGraph(numVertices, tau, g, ds, rng);

                std::cout << "Running (n,tau) = (" << numVertices << ',' << tau
                          << "). " << std::flush;

                //
                // Test the GCM1 and GCM2 success rate
                //
                long long gcmTris1 = 0;
                long long gcmTris2 = 0;
                int successrate1 = 0;
                int successrate2 = 0;
                for (int i = 0; i < 100; ++i) {
                    Graph gtemp;
                    // Take new highest degree every time
                    if (constrainedConfigurationModel(ds, gtemp, rng, false)) {
                        ++successrate1;
                        gcmTris1 += gtemp.countTriangles();
                    }
                    // Finish all pairings of highest degree first
                    if (constrainedConfigurationModel(ds, gtemp, rng, true)) {
                        ++successrate2;
                        gcmTris2 += gtemp.countTriangles();
                    }
                }

                SwitchChain chain;
                if (!chain.initialize(g)) {
                    std::cerr << "Could not initialize Markov chain.\n";
                    return 1;
                }


                long long trianglesTotal = 0;

                std::cout << " Finished CCM generation." << std::flush;

                int mixingTime = getMixingTime(numVertices, tau);
                for (int i = 0; i < mixingTime; ++i) {
                    chain.doMove();
                }
                chain.g.getTrackedTriangles() = chain.g.countTriangles();
                int measurements = getMeasurements(numVertices, tau);
                int measureSkip = getMeasureSkip(numVertices, tau);
                for (int i = 0; i < measurements; ++i) {
                    for (int j = 0; j < measureSkip; ++j)
                        chain.doMove(true);
                    trianglesTotal += chain.g.getTrackedTriangles();
                }

                std::cout << " Finished mixing and measurements." << std::flush;

                if (outputComma)
                    outfile << ',' << '\n';
                outputComma = true;

                float avgTriangles =
                    float(trianglesTotal) / float(measurements);
                outfile << '{';
                outfile << '{' << numVertices << ',' << tau << '}';
                outfile << ',' << avgTriangles;
                outfile << ',' << '{' << gcmTris1 << ',' << successrate1 << '}';
                outfile << ',' << '{' << gcmTris2 << ',' << successrate2 << '}';
                outfile << '}' << std::flush;

                std::cout << std::endl;
            }
        }
    }
    outfile << '}';
    return 0;
}