/*
 * File: pedestrian_vehicle_trespass.hpp
 * Created Date: Tuesday February 22nd 2022
 * Author: yangzilong (yangzilong@objecteye.com)
 * Description:
 * -----
 * Last Modified: Tuesday, 22nd February 2022 4:35:04 pm
 * Modified By: yangzilong (yangzilong@objecteye.com>)
 * -----
 * Copyright 2022
 */

#pragma once
#include "include.h"
#include "opencv2/highgui/highgui.hpp"
#include <deque>
#include <map>
#include <vector>

namespace ai_engine_module {
namespace pedestrian_vehicle_trespass {

using obj_id_t = long;
using task_id_t = std::string;

enum class direction_t {
  NEGATIVE = 0,
  POSITIVE = 1,
};

struct trace_t {
  box_t box;
  point_t point;
};

// struct unique_obj_id_t {
//   obj_id_t obj_id;
//   task_id_t task_id;

//   bool operator<(const unique_obj_id_t &obj) const {
//     return obj_id < obj.obj_id || (task_id < obj.task_id);
//   }
// };

struct unique_obj_id_t {
  obj_id_t obj_id;
  task_id_t task_id;

  // bool operator<(const unique_obj_id_t &obj) const {
  //   return obj_id < obj.obj_id || (task_id < obj.task_id);
  // }
  // 221012-------------------------------------------------
  bool operator<(const unique_obj_id_t &obj) const {
    if (obj_id < obj.obj_id)
      return true;

    else if (obj_id == obj.obj_id) {
      if (strcmp(task_id.c_str(), obj.task_id.c_str()) < 0)
        return true;
    }
    return false;
  }
  //----------------------------------------------------------
};

typedef struct result_data_t {
  box_t box;
  sy_img ori_img;
  sy_img roi_img;
  bool ori_img_is_in_gpu{false};
  bool roi_img_is_in_gpu{false};
} result_data_t;

using results_data_t = std::vector<result_data_t>;
using multi_obj_key_t = std::vector<obj_key_t>;

class PedestrianVehicleTrespass {
  /**
   * @brief
   *  1. move able
   */
public:
  PedestrianVehicleTrespass();

  ~PedestrianVehicleTrespass();

  void pedestrianvehicletrespass_init_region(const string &task_id, const algorithm_type_t algor_type, const int width,
                                             const int height);

  bool update_mstreams(const std::set<task_id_t> &tasks_id, const sy_img *det_input_images,
                       const std::vector<onelevel_det_result> &det_result, const vector<vector<int>> &delete_objs);

  bool update_mstreams2(const std::vector<task_id_t> &tasks_id, const sy_img *det_input_images,
                       const std::vector<onelevel_det_result> &det_result, const vector<vector<int>> &delete_objs);

  std::shared_ptr<results_data_t> get_results_by_id(const obj_key_t &id, bool do_erase = true);

  PedestrianVehicleTrespass(const PedestrianVehicleTrespass &) = delete;
  PedestrianVehicleTrespass &operator=(const PedestrianVehicleTrespass &) = delete;

  PedestrianVehicleTrespass(PedestrianVehicleTrespass &&) = default;
  PedestrianVehicleTrespass &operator=(PedestrianVehicleTrespass &&) = default;

private:
  bool in_rect_analysis(const obj_key_t &id, const box_t &cur_bos);

  task_param_manager *task_param_manager_;
  std::map<obj_key_t, results_data_t> obj_to_alarm_boxes_;
  std::map<obj_key_t, box_t>
      obj_to_position_; // 保存物体上一帧的位置，基于非法闯入判断逻辑，上一帧在框外，下一帧闯入禁区
  std::map<obj_key_t, cv::Mat> trespass_regions;
};
} // namespace pedestrian_vehicle_trespass
} // namespace ai_engine_module