/**
 * Copyright 2019 Huawei Technologies Co., Ltd
 *
 * 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
 *
 * http://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.
 */

#ifndef MINDSPORE_CCSRC_UTILS_CONFIG_MANAGER_H_
#define MINDSPORE_CCSRC_UTILS_CONFIG_MANAGER_H_

#include <string>
#include <memory>
#include <vector>
#include <map>
#include <utility>
#include <sstream>

#include "utils/overload.h"

namespace mindspore {

enum ParallelStrategy {
  ONE_DEVICE = 0,
  DISTRIBUTION,
};

enum DatasetMode { DS_NORMAL_MODE = 0, DS_SINK_MODE };

class DatasetGraphParam {
 public:
  DatasetGraphParam(const std::string& name, int64_t size, int64_t batch_size, const std::vector<int64_t>& ge_types,
                    const std::vector<std::vector<int64_t>>& shapes, const std::vector<int64_t>& input_indexes)
      : queue_name_(name),
        loop_size_(size),
        batch_size_(batch_size),
        ge_types_(ge_types),
        shapes_(shapes),
        input_indexes_(input_indexes) {}

  ~DatasetGraphParam() = default;

  std::string ToString() const {
    std::ostringstream buffer;
    buffer << "DatasetGraphParam: queue_name=" << queue_name_ << " size=" << loop_size_ << " batch_size=" << batch_size_
           << " ge_types=" << ge_types_ << " shapes=" << shapes_ << " input_indexes=" << input_indexes_;
    return buffer.str();
  }
  std::string queue_name() const { return queue_name_; }
  int64_t loop_size() const { return loop_size_; }
  int64_t batch_size() const { return batch_size_; }
  std::vector<int64_t> ge_types() const { return ge_types_; }
  std::vector<std::vector<int64_t>> shapes() const { return shapes_; }
  std::vector<int64_t> input_indexes() const { return input_indexes_; }

 private:
  std::string queue_name_;
  int64_t loop_size_;
  int64_t batch_size_;
  std::vector<int64_t> ge_types_;
  std::vector<std::vector<int64_t>> shapes_;
  std::vector<int64_t> input_indexes_;
};

class ConfigManager {
 public:
  ConfigManager(const ConfigManager&) = delete;
  ConfigManager& operator=(const ConfigManager&) = delete;
  static ConfigManager& GetInstance() noexcept;

  ParallelStrategy parallel_strategy() const { return parallel_strategy_; }
  void set_parallel_strategy(ParallelStrategy strategy) { parallel_strategy_ = strategy; }

  const std::map<std::string, std::string>& ge_initialize_options() const { return ge_initialize_options_; }
  void set_ge_initialize_options(const std::map<std::string, std::string>& options) {
    ge_initialize_options_ = options;
  }

  DatasetMode dataset_mode() const { return dataset_mode_; }
  void set_dataset_mode(DatasetMode mode) { dataset_mode_ = mode; }
  int64_t iter_num() const { return iter_num_; }
  void set_iter_num(const int64_t num) { iter_num_ = num; }

  std::string dataset_phase() const { return dataset_phase_; }
  void set_dataset_phase(const std::string& phase) { dataset_phase_ = phase; }

  DatasetGraphParam dataset_param() const { return dataset_param_; }
  void set_dataset_param(const DatasetGraphParam& param) { dataset_param_ = param; }

  static void SetDatasetModeConfig(const std::string& mode);

  void ResetConfig() noexcept;

  std::map<std::string, std::string> ge_initialize_options_;

 private:
  ConfigManager() = default;
  ~ConfigManager() = default;

  ParallelStrategy parallel_strategy_{ONE_DEVICE};
  DatasetMode dataset_mode_{DS_NORMAL_MODE};
  DatasetGraphParam dataset_param_{"", 0, 0, {}, {}, {}};
  int64_t iter_num_{1};
  std::string dataset_phase_{""};
};

}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_UTILS_CONFIG_MANAGER_H_
