#include "measurements.hpp"
#include <iostream>
#include <cstdio>

class badcycleException: public std::exception
{
  virtual const char* what() const throw()
  {
    return "Could not find a valid cycle on the broken system.";
  }
} badcycleex;


void update_distribution_file(std::string id, const std::vector<uint64_t>& data, std::string model_string) {
  std::string filename = model_string + id + ".dat";
  std::ifstream file(filename);

  std::vector<uint64_t> data_old(data.size(), 0);

  if (file.is_open()) {
    for (unsigned i = 0; i < data.size(); i++) {
      uint64_t num;
      file >> num;
      data_old[i] = num;
    }

    file.close();
  }

  std::ofstream file_out(filename);

  for (unsigned i = 0; i < data.size(); i++) {
    file_out <<std::fixed<< data_old[i] + data[i] << " ";
  }

  file_out.close();
}

template <class T>
void update_field_file(std::string id, const std::vector<T>& data, unsigned N, std::string model_string, unsigned Mx, unsigned My) {
  std::string filename = model_string + id + "_" + std::to_string(Mx) + "_" + std::to_string(My) + ".dat";
  std::ifstream file(filename);

  uint64_t N_old = 0;
  std::vector<T> data_old(data.size(), 0);

  if (file.is_open()) {
    file >> N_old;
    for (unsigned j = 0; j < data.size(); j++) {
      file >> data_old[j];
    }
    file.close();
  }

  std::ofstream file_out(filename);

  file_out <<std::fixed<< N_old + N <<  "\n";
  for (unsigned j = 0; j < data.size(); j++) {
    file_out << data_old[j] + data[j] << " ";
  }

  file_out.close();
}

fftw_complex* data_transform(unsigned Mx, unsigned My, fftw_plan forward_plan, double *fftw_forward_in, fftw_complex *fftw_forward_out) {
  fftw_execute(forward_plan);

  fftw_complex* output = (fftw_complex*)malloc(Mx * (My / 2 + 1) * sizeof(fftw_complex));

  for (unsigned i = 0; i < Mx * (My / 2 + 1); i++) {
    output[i][0] = fftw_forward_out[i][0];
    output[i][1] = fftw_forward_out[i][1];
  }

  return output;
}

template <class T>
void correlation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& data, const fftw_complex* tx1, const fftw_complex* tx2, fftw_plan reverse_plan, fftw_complex *fftw_reverse_in, double *fftw_reverse_out) {
  for (unsigned i = 0; i < Mx * (My / 2 + 1); i++) {
    fftw_reverse_in[i][0] = tx1[i][0] * tx2[i][0] + tx1[i][1] * tx2[i][1];
    fftw_reverse_in[i][1] = tx1[i][0] * tx2[i][1] - tx1[i][1] * tx2[i][0];
  }

  fftw_execute(reverse_plan);

  for (unsigned j = 0; j < data.size(); j++) {
    for (unsigned i = 0; i < (Mx / 2 + 1) * (My / 2 + 1); i++) {
      data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % (Mx / 2 + 1)] / (Mx * My), j + 1);
    }
  }
}

void autocorrelation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, const std::list<graph::coordinate>& pos) {
  for (std::list<graph::coordinate>::const_iterator it1 = pos.begin(); it1 != pos.end(); it1++) {
    for (std::list<graph::coordinate>::const_iterator it2 = it1; it2 != pos.end(); it2++) {
      double Δx_tmp = fabs(it1->x - it2->x);
      double Δx = Δx_tmp < Lx / 2 ? Δx_tmp : Lx - Δx_tmp;

      double Δy_tmp = fabs(it1->y - it2->y);
      double Δy = Δy_tmp < Ly / 2 ? Δy_tmp : Ly - Δy_tmp;

      data[(unsigned)(Mx * (Δx / Lx)) + (Mx / 2) * (unsigned)(My * (Δy / Ly))]++;
    }
  }
}

void correlation2(double Lx, double Ly, unsigned Mx, unsigned My, std::vector<uint64_t>& data, const std::list<graph::coordinate>& pos1, const std::list<graph::coordinate>& pos2) {
  for (std::list<graph::coordinate>::const_iterator it1 = pos1.begin(); it1 != pos1.end(); it1++) {
    for (std::list<graph::coordinate>::const_iterator it2 = pos2.begin(); it2 != pos2.end(); it2++) {
      double Δx_tmp = fabs(it1->x - it2->x);
      double Δx = Δx_tmp < Lx / 2 ? Δx_tmp : Lx - Δx_tmp;

      double Δy_tmp = fabs(it1->y - it2->y);
      double Δy = Δy_tmp < Ly / 2 ? Δy_tmp : Ly - Δy_tmp;

      data[floor((Mx * Δx) / Lx) + (Mx / 2) * floor((My * Δy) / Ly)]++;
    }
  }
}

template <class T>
void autocorrelation(unsigned Mx, unsigned My, std::vector<std::vector<T>>& out_data, fftw_plan forward_plan, double *fftw_forward_in, fftw_complex *fftw_forward_out, fftw_plan reverse_plan, fftw_complex *fftw_reverse_in, double *fftw_reverse_out) {
  fftw_execute(forward_plan);

  for (unsigned i = 0; i < My * (Mx / 2 + 1); i++) {
    fftw_reverse_in[i][0] = pow(fftw_forward_out[i][0], 2) + pow(fftw_forward_out[i][1], 2);
    fftw_reverse_in[i][1] = 0.0;
  }

  fftw_execute(reverse_plan);

  for (unsigned j = 0; j < out_data.size(); j++) {
    for (unsigned i = 0; i < (Mx / 2 + 1) * (My / 2 + 1); i++) {
      out_data[j][i] += (T)pow(fftw_reverse_out[Mx * (i / (Mx / 2 + 1)) + i % (Mx / 2 + 1)] / (Mx * My), j + 1);
    }
  }
}

unsigned edge_r_to_ind(graph::coordinate r, double Lx, double Ly, unsigned Mx, unsigned My) {
  return floor((Mx * r.x) / Lx) + Mx * floor((My * r.y) / Ly);
}

ma::ma(unsigned n, double a, unsigned Mx, unsigned My, double beta) :
  G(2 * n),
  sc(2 * n),
  sm(2 * n),
  sa(3 * n),
  sl(2 * n),
  sn(2 * n)
{
  if (beta != 0.0) {
    model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_" + std::to_string(beta) + "_";
  } else {
    model_string = "fracture_" + std::to_string(n) + "_" + std::to_string(a) + "_INF_";
  }
}

ma::ma(unsigned Lx, unsigned Ly, double beta) :
  G(Lx * Ly / 2),
  sc(Lx * Ly / 2),
  sm(Lx * Ly / 2),
  sa(Lx * Ly),
  sl(Lx * Ly / 2),
  sn(Lx * Ly / 2)
{
  if (beta != 0.0) {
    model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_" + std::to_string(beta) + "_";
  } else {
    model_string = "fracture_" + std::to_string(Lx) + "_" + std::to_string(Ly) + "_INF_";
  }
}

ma::~ma() {
  update_distribution_file("sc", sc, model_string);
  update_distribution_file("sm", sm, model_string);
  update_distribution_file("sa", sa, model_string);
  update_distribution_file("sl", sl, model_string);
  update_distribution_file("sn", sn, model_string);
}

void ma::pre_fracture(const network&) {
  lv = std::numeric_limits<long double>::lowest();
  boost::remove_edge_if(trivial, G);
  avalanches = {};
}

void ma::bond_broken(const network& net, const current_info& cur, unsigned i) {
  long double c = net.thresholds[i] - logl(cur.currents[i]);
  if (c > lv) {
    lv = c;
    avalanches.push_back({i});
  } else {
    avalanches.back().push_back(i);
  }

  boost::add_edge(net.G.dual_edges[i].v[0], net.G.dual_edges[i].v[1], {i}, G);
}

void ma::post_fracture(network &n) {
  auto post_cracks = find_minimal_crack(G, n);
  std::vector<unsigned> component(boost::num_vertices(G));
  unsigned num = boost::connected_components(G, &component[0]);
  if (post_cracks.size() > 2 || post_cracks.size() == 0) {
    throw badcycleex;
  }
  for (auto c : post_cracks) {
    sl[c.second.size() - 1]++;
  }
  unsigned crack_component = component[n.G.dual_edges[post_cracks.front().second.front()].v[0]];

  std::vector<std::list<graph::coordinate>> components(num);

  for (unsigned i = 0; i < n.G.dual_vertices.size(); i++) {
    components[component[i]].push_back(n.G.dual_vertices[i].r);
  }

  for (unsigned i = 0; i < num; i++) {
    if (i != crack_component) {
      sm[components[i].size() - 1]++;
    }
    sn[components[i].size() - 1]++;
  }

  auto av_it = avalanches.rbegin();

  while (true) {
    for (unsigned e : *av_it) {
      boost::remove_edge(n.G.dual_edges[e].v[0], n.G.dual_edges[e].v[1], G);
      n.fuses[e] = false;
    }

    auto cracks = find_minimal_crack(G, n);

    if (cracks.size() == 0) {
      break;
    }

    av_it++;
  }

  num = boost::connected_components(G, &component[0]);

  std::vector<std::list<graph::coordinate>> new_components(num);

  for (unsigned i = 0; i < n.G.dual_vertices.size(); i++) {
    new_components[component[i]].push_back(n.G.dual_vertices[i].r);
  }

  for (unsigned i = 0; i < num; i++) {
    sc[new_components[i].size() - 1]++;
  }

  av_it++;

  while (av_it != avalanches.rend()) {
    sa[(*av_it).size() - 1]++;
    av_it++;
  }
}