ranking_response.h

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#pragma once
#include "container_iterator.h"
#include "slot_ranking.h"
 
#include <cstddef>
#include <iterator>
#include <string>
#include <vector>
 
namespace reinforcement_learning
{
class api_status;
 
class ranking_response
{
private:
  std::string _model_id;
  slot_ranking _slot_impl;
 
public:
  ranking_response() = default;
  ~ranking_response() = default;
 
  ranking_response(char const* event_id);
 
  const char* get_event_id() const;
 
  void set_event_id(const char* event_id);
 
  int get_chosen_action_id(
      size_t& action_id, api_status* status = nullptr) const;  // id of the top action chosen by the model
 
  int set_chosen_action_id(size_t action_id, api_status* status = nullptr);  // id of the top action chosen by the model
 
  int set_chosen_action_id_unchecked(size_t action_id, api_status* status = nullptr);
 
  void push_back(const size_t action_id, const float prob);
 
  size_t size() const;
 
  void set_model_id(const char* model_id);
 
  void set_model_id(std::string&& model_id);
 
  const char* get_model_id() const;
 
  void clear();
 
  ranking_response(ranking_response&&) noexcept;
 
  ranking_response& operator=(ranking_response&&) noexcept;
 
  ranking_response(const ranking_response&) = delete;
 
  ranking_response& operator=(const ranking_response&) = delete;
 
public:
  using iterator = slot_ranking::iterator;
  using const_iterator = slot_ranking::const_iterator;
 
  const_iterator begin() const;
  iterator begin();
 
  const_iterator end() const;
  iterator end();
};
}  // namespace reinforcement_learning