/*********************************************************************
 *
 *  文      件:    SampleTrendAnalysis.h
 *
 *  版权所有:   Shanghai Baosight Software Co., Ltd.
 *  zoufuzhou
 *********************************************************************/

#ifndef H_TREND_SAMPLE_H
#define H_TREND_SAMPLE_H
#include "mix_cc/algorithm/fast_dtw/EuclideanDistance.h"
#include "mix_cc/algorithm/fast_dtw/FastDTW.h"
#include <eqpalg/AlgCommonDefine.h>
#include <eqpalg/stat/NormalDistribution.h>
#include <iostream>
#include <memory>
#include <vector>
#include <zhd/hd3Struct.h>

using namespace std;

/*********************************************************************
 *  类      名:   	SampleTrendAnalysis
 *  版权所有:   Shanghai Baosight Software Co., Ltd.
 *********************************************************************/

class SampleTrendAnalysis {
public:
  // step 0 init parameter
  SampleTrendAnalysis(const string &table = "T_RULE_SAMPLE", int judgemode = 0,
                      int archive = 0, double probability = 0.9,
                      std::string tag_name = "DEFAULT_TAG");

  virtual ~SampleTrendAnalysis();

  // step 1 init parameter
  void Init(const string &table = "T_RULE_SAMPLE", int judgemode = 0,
            int archive = 0, double probability = 0.9,
            std::string tag_name = "DEFAULT_TAG");

  void SetRule(const string &ruleid, const string &rulename);

  // step2 read sample by db
  int Read(const string &dbwhere);

  // step3 learning sample store db
  int Learning(double value, int covert2samplesize = 5);
  int Learning(vector<double> value, int covert2samplesize = 5);

  // get current judge mode
  int JudgeMode();

  // get whether the sampling
  bool HaveSample();

  // get whether learned
  bool IsLearned();

  // get sample parameter
  const SampleProperty *GetProperty();

public:
  bool ShouldReportCurve(const vector<double> &value, double dest);
  // get distance of two curves using Dynamic Time Warping Algorthim
  double CalcDTWValue(const vector<double> &value);
  double CalcDTWValue(HD3Record *record);

private:
  int LearningAbsDiff(void);
  int LearningNormal(void);
  int LearningTrend(vector<double> value);

  int ReadAbsDiff(const string &dbwhere);
  int ReadNormal(const string &dbwhere, vector<double> &voutdatas);
  int ReadJson(const string &dbwhere);

  string GetSql(const string &dbwhere);
  long GetCount(const string &dbwhere);
  int Save(void);

private:
  NormalDistribution *mp_normal;

private:
  SampleProperty m_sample;

private:
  string m_table;
  string m_ruleid;
  string m_rulename;
};

#endif