#include <cassert>
#include <cstring>
#include <iostream>
#include <numeric>
#include <random>
#include <string>
#include <unordered_map>

#include "hanabi_game.h"
#include "hanabi_state.h"
#include "canonical_encoders.h"

struct GameResult {
  int score;
  int fireworks_played;  
  int num_steps;         
};

constexpr const char* kGameParamArgPrefix = "--config.hanabi.";

GameResult SimulateGame(const hanabi_learning_env::HanabiGame& game,
                        bool verbose, std::mt19937* rng) {
  hanabi_learning_env::HanabiState state(&game);
  GameResult result = {0, 0, 0};
  while (!state.IsTerminal()) {
    if (state.CurPlayer() == hanabi_learning_env::kChancePlayerId) {

      auto chance_outcomes = state.ChanceOutcomes();
      std::discrete_distribution<std::mt19937::result_type> dist(
          chance_outcomes.second.begin(), chance_outcomes.second.end());
      auto move = chance_outcomes.first[dist(*rng)];
      if (verbose) {
        std::cout << "Legal chance:";
        for (int i = 0; i < chance_outcomes.first.size(); ++i) {
          std::cout << " <" << chance_outcomes.first[i].ToString() << ", "
                    << chance_outcomes.second[i] << ">";
        }
        std::cout << "\n";
        std::cout << "Sampled move: " << move.ToString() << "\n\n";
      }
      state.ApplyMove(move);
      continue;
    }

    auto obs = hanabi_learning_env::HanabiObservation(state, state.CurPlayer());
    hanabi_learning_env::CanonicalObservationEncoder encoder(&game);

    auto legal_moves = state.LegalMoves(state.CurPlayer());
    std::uniform_int_distribution<std::mt19937::result_type> dist(
        0, legal_moves.size() - 1);
    auto move = legal_moves[dist(*rng)];
    if (verbose) {
      std::cout << "Current player: " << state.CurPlayer() << "\n";
      std::cout << state.ToString() << "\n\n";
      std::cout << "Legal moves:";
      for (int i = 0; i < legal_moves.size(); ++i) {
        std::cout << " " << legal_moves[i].ToString();
      }
      std::cout << "\n";
      std::cout << "Sampled move: " << move.ToString() << "\n\n";
    }
    state.ApplyMove(move);
    ++result.num_steps;
    if (state.MoveHistory().back().scored) {
      ++result.fireworks_played;
    }
  }

  if (verbose) {
    std::cout << "Game done, terminal state:\n" << state.ToString() << "\n\n";
    std::cout << "score = " << state.Score() << "\n\n";
  }

  result.score = state.Score();
  return result;
}

void SimulateGames(
    const std::unordered_map<std::string, std::string>& game_params,
    int num_trials = 1, bool verbose = true) {
  std::mt19937 rng;
  rng.seed(std::random_device()());

  hanabi_learning_env::HanabiGame game(game_params);
  auto params = game.Parameters();
  std::cout << "Hanabi game created, with parameters:\n";
  for (const auto& item : params) {
    std::cout << "  " << item.first << "=" << item.second << "\n";
  }

  std::vector<GameResult> results;
  results.reserve(num_trials);
  for (int trial = 0; trial < num_trials; ++trial) {
    results.push_back(SimulateGame(game, verbose, &rng));
  }

  if (num_trials > 1) {
    GameResult avg_score = std::accumulate(
        results.begin(), results.end(), GameResult(),
        [](const GameResult& lhs, const GameResult& rhs) {
          GameResult result = {lhs.score + rhs.score,
                               lhs.fireworks_played + rhs.fireworks_played,
                               lhs.num_steps + rhs.num_steps};
          return result;
        });
    std::cout << "Average score: "
              << static_cast<double>(avg_score.score) / results.size()
              << " average number of fireworks played: "
              << static_cast<double>(avg_score.fireworks_played) /
                     results.size()
              << " average num_steps: "
              << static_cast<double>(avg_score.num_steps) / results.size()
              << "\n";
  }
}

std::unordered_map<std::string, std::string> ParseArguments(int argc,
                                                            char** argv) {
  std::unordered_map<std::string, std::string> game_params;
  const auto prefix_len = strlen(kGameParamArgPrefix);
  for (int i = 1; i < argc; ++i) {
    std::string param = argv[i];
    if (param.compare(0, prefix_len, kGameParamArgPrefix) == 0 &&
        param.size() > prefix_len) {
      std::string value;
      param = param.substr(prefix_len, std::string::npos);
      auto value_pos = param.find("=");
      if (value_pos != std::string::npos) {
        value = param.substr(value_pos + 1, std::string::npos);
        param = param.substr(0, value_pos);
      }
      game_params[param] = value;
    }
  }
  return game_params;
}

int main(int argc, char** argv) {
  auto game_params = ParseArguments(argc, argv);
  SimulateGames(game_params);
  return 0;
}
// Copyright 2018 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//    https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include <cassert>
#include <cstring>
#include <iostream>
#include <numeric>
#include <random>
#include <string>
#include <unordered_map>

#include "hanabi_game.h"
#include "hanabi_state.h"
#include "canonical_encoders.h"

struct GameResult {
  int score;
  int fireworks_played;  // Number of successful Play moves.
  int num_steps;         // Number of moves by a player.
};

constexpr const char* kGameParamArgPrefix = "--config.hanabi.";

GameResult SimulateGame(const hanabi_learning_env::HanabiGame& game,
                        bool verbose, std::mt19937* rng) {
  hanabi_learning_env::HanabiState state(&game);
  GameResult result = {0, 0, 0};
  while (!state.IsTerminal()) {
    if (state.CurPlayer() == hanabi_learning_env::kChancePlayerId) {
      // All of this could be replaced with state.ApplyRandomChance().
      // Only done this way to demonstrate picking specific chance moves.
      auto chance_outcomes = state.ChanceOutcomes();
      std::discrete_distribution<std::mt19937::result_type> dist(
          chance_outcomes.second.begin(), chance_outcomes.second.end());
      auto move = chance_outcomes.first[dist(*rng)];
      if (verbose) {
        std::cout << "Legal chance:";
        for (int i = 0; i < chance_outcomes.first.size(); ++i) {
          std::cout << " <" << chance_outcomes.first[i].ToString() << ", "
                    << chance_outcomes.second[i] << ">";
        }
        std::cout << "\n";
        std::cout << "Sampled move: " << move.ToString() << "\n\n";
      }
      state.ApplyMove(move);
      continue;
    }

    auto obs = hanabi_learning_env::HanabiObservation(state, state.CurPlayer());
    hanabi_learning_env::CanonicalObservationEncoder encoder(&game);
    // std::vector<int> vecObs = encoder.Encode(obs);
    // std::cout << ">>>vec size: " << vecObs.size() << std::endl;

    auto legal_moves = state.LegalMoves(state.CurPlayer());
    std::uniform_int_distribution<std::mt19937::result_type> dist(
        0, legal_moves.size() - 1);
    auto move = legal_moves[dist(*rng)];
    if (verbose) {
      std::cout << "Current player: " << state.CurPlayer() << "\n";
      std::cout << state.ToString() << "\n\n";
      std::cout << "Legal moves:";
      for (int i = 0; i < legal_moves.size(); ++i) {
        std::cout << " " << legal_moves[i].ToString();
      }
      std::cout << "\n";
      std::cout << "Sampled move: " << move.ToString() << "\n\n";
    }
    state.ApplyMove(move);
    ++result.num_steps;
    if (state.MoveHistory().back().scored) {
      ++result.fireworks_played;
    }
  }

  if (verbose) {
    std::cout << "Game done, terminal state:\n" << state.ToString() << "\n\n";
    std::cout << "score = " << state.Score() << "\n\n";
  }

  result.score = state.Score();
  return result;
}

void SimulateGames(
    const std::unordered_map<std::string, std::string>& game_params,
    int num_trials = 1, bool verbose = true) {
  std::mt19937 rng;
  rng.seed(std::random_device()());

  hanabi_learning_env::HanabiGame game(game_params);
  auto params = game.Parameters();
  std::cout << "Hanabi game created, with parameters:\n";
  for (const auto& item : params) {
    std::cout << "  " << item.first << "=" << item.second << "\n";
  }

  std::vector<GameResult> results;
  results.reserve(num_trials);
  for (int trial = 0; trial < num_trials; ++trial) {
    results.push_back(SimulateGame(game, verbose, &rng));
  }

  if (num_trials > 1) {
    GameResult avg_score = std::accumulate(
        results.begin(), results.end(), GameResult(),
        [](const GameResult& lhs, const GameResult& rhs) {
          GameResult result = {lhs.score + rhs.score,
                               lhs.fireworks_played + rhs.fireworks_played,
                               lhs.num_steps + rhs.num_steps};
          return result;
        });
    std::cout << "Average score: "
              << static_cast<double>(avg_score.score) / results.size()
              << " average number of fireworks played: "
              << static_cast<double>(avg_score.fireworks_played) /
                     results.size()
              << " average num_steps: "
              << static_cast<double>(avg_score.num_steps) / results.size()
              << "\n";
  }
}

std::unordered_map<std::string, std::string> ParseArguments(int argc,
                                                            char** argv) {
  std::unordered_map<std::string, std::string> game_params;
  const auto prefix_len = strlen(kGameParamArgPrefix);
  for (int i = 1; i < argc; ++i) {
    std::string param = argv[i];
    if (param.compare(0, prefix_len, kGameParamArgPrefix) == 0 &&
        param.size() > prefix_len) {
      std::string value;
      param = param.substr(prefix_len, std::string::npos);
      auto value_pos = param.find("=");
      if (value_pos != std::string::npos) {
        value = param.substr(value_pos + 1, std::string::npos);
        param = param.substr(0, value_pos);
      }
      game_params[param] = value;
    }
  }
  return game_params;
}

int main(int argc, char** argv) {
  auto game_params = ParseArguments(argc, argv);
  SimulateGames(game_params);
  return 0;
}
