/* * ProcessStatisticFunctions.cc * * Created on: Jun 21, 2018 * Author: benjamin */ #include #include #include #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(_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(_operation)->getSampling(); _paramData->setMinSampling(static_cast(_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 */