nlp_feedback.h

Go to the documentation of this file.

#ifndef RESULT_FEEDVACK_HPP
#define RESULT_FEEDVACK_HPP
#include <curl/curl.h>
#include <fstream>
#include <iostream>
#include <vector>

enum RobotAciton
{
  NO_ACTION = 0,
  CLOSE_CHAT,
  BACK_TO_ORIGINAL_LOCATION,
  TAKE_A_STEP_FORWARD,
  TAKE_A_STEP_BACKWARD,
  TURN_LEFT,
  TURN_RIGHT,
  RAISE_LEFT_HAND,
  PUT_DOWM_LEFT_HAND,
  RAISE_RIGHT_HAND,
  PUT_DOWN_RIGHT_HAND,
  LEFT_HAND_GRIP,
  LEFT_HAND_OPEN,
  RIGHT_HAND_GRIP,
  RIGHT_HAND_OPEN,
  NAVI_TO_FANGZONG,
  NAVI_TO_CHANGZONG,
  START_CHAT,
};

enum ActionMode
{
  PLAY_BEFORE_ACTION = 0,
  PLAY_AFTER_ACTION,
  PLAY_AND_ACTION_SYNC,
  PLAY_ONLY,
  ACTION_ONLY,

};

class ResultFeedback
{
public:
  ResultFeedback() : answer_dictionary_(4)
  {
  }

  bool resultIsValid(const std::string recog_result);

  std::vector<std::vector<std::string>> readAnswerTable(std::string answer_config_file);

  bool keywordDetection();

  void keywordResponse(const std::string log_path);

  std::vector<std::string> answerContent();

  int actionDetect();

  bool isKeywordRepeated(std::string key_word);

  void uninitNLP();

private:
  std::vector<std::string> answer_dictionary_;          // 存储一个关键词及其对应的反馈内容
  std::vector<std::vector<std::string>> answer_table_;  // 存储整个csv表格的内容
  int detect_count_ = 0;                                // 存储识别到的关键词存在的回复的个数
  std::string recog_final_result_;                      // 从json串中解析出的语音识别结果
  std::string base_path_;
  std::string tts_path_;
  void robotPlay();
  int robotAction();
};

class TuLingRobot
{
public:
  void setAskJson(const std::string ask_str);

  std::string callTulingApi();

  std::string textFromJson();

  void uninitTuling();

private:
  std::string tuling_url_ = "http://openapi.tuling123.com/openapi/api/v2";
  std::string tuling_key_ = "58dcf416803a401a8b0770b9c551acef";
  std::string ask_json_;
  std::string answer_json_;
  std::string answer_text_;
  static size_t http_data_writer(void* data, size_t size, size_t nmemb, void* content);
};

#endif