ProcessStatisticFunctions.cc
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/*
* ProcessStatisticFunctions.cc
*
* Created on: Jun 21, 2018
* Author: benjamin
*/
#include <stdlib.h>
#include <string>
#include <boost/lexical_cast.hpp>
#include "DicError.hh"
#include "AMDA_exception.hh"
#include "Operation.hh"
#include "ParameterManager.hh"
#include "ProcessStatisticFunctions.hh"
#include "ParamMgr.hh"
using namespace std;
using namespace boost;
using namespace log4cxx;
namespace AMDA {
namespace Parameters {
ProcessStatisticFunctions::ProcessStatisticFunctions(Parameter ¶meter, StatisticFunctionsCreator::StatisticFunctionsType type) : SingleParamProcess_CRTP(parameter), _type(type), _windowtime(0.) {
}
ProcessStatisticFunctions::ProcessStatisticFunctions(const ProcessStatisticFunctions& pProcess, Parameter ¶meter)
: SingleParamProcess_CRTP(pProcess,parameter), _type(pProcess._type) {
}
ProcessStatisticFunctions::~ProcessStatisticFunctions() {
}
TimeStamp ProcessStatisticFunctions::init() {
//Get window time
if (_attributList.size() != 1) {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_PROCESS_ERR) << AMDA::ex_msg(std::string("ProcessStatisticFunctions required at least one attribute: Window Time")));
}
if (!isValid<double>(_attributList[0])) {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_PROCESS_ERR) << AMDA::ex_msg(std::string("Window Time must be a double.")));
}
_windowtime = atof(_attributList[0].c_str());
if (_windowtime <= 0) {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_PROCESS_ERR) << AMDA::ex_msg(std::string("Window Time must be greater than 0.")));
}
TimeStamp time = _parameterInput->init( this, _timeIntervalList);
_paramInput = _parameterInput->getParamData(this).get();
StatisticFunctionsCreator lCreator(*this, _timeIntervalList, *_paramInput, _type, _windowtime);
_operation = lCreator.getOperation();
_paramData = ParamDataSPtr(_operation->getParamOutput());
int minSampling = static_cast<StatisticFunctions::AbstractFuncBase*>(_operation)->getSampling();
_paramData->setMinSampling(static_cast<StatisticFunctions::AbstractFuncBase*>(_operation)->getSampling());
int gapThreshold = minSampling / _paramInput->getMinSampling() * _parameterInput->getGapThreshold();
if (gapThreshold < 1) {
gapThreshold = 1;
}
_parameter.setGapThreshold(gapThreshold);
return time;
}
ProcessMinFunc::ProcessMinFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_MIN) {
}
ProcessMinSmFunc::ProcessMinSmFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_MIN_SM) {
}
ProcessMaxFunc::ProcessMaxFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_MAX) {
}
ProcessMaxSmFunc::ProcessMaxSmFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_MAX_SM) {
}
ProcessVarFunc::ProcessVarFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_VAR) {
}
ProcessVarSmFunc::ProcessVarSmFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_VAR_SM) {
}
ProcessRmsFunc::ProcessRmsFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_RMS) {
}
ProcessRmsSmFunc::ProcessRmsSmFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_RMS_SM) {
}
ProcessSkewFunc::ProcessSkewFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_SKEW) {
}
ProcessSkewSmFunc::ProcessSkewSmFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_SKEW_SM) {
}
ProcessMedianFunc::ProcessMedianFunc(Parameter ¶meter) : ProcessStatisticFunctions(parameter,StatisticFunctionsCreator::StatisticFunctionsType::SFT_MEDIAN) {
}
} /* namespace Parameters */
} /* namespace AMDA */