Files
OpenSpace/modules/iswa/util/dataprocessortext.cpp
2017-12-29 20:11:22 +01:00

237 lines
8.7 KiB
C++

/*****************************************************************************************
* *
* OpenSpace *
* *
* Copyright (c) 2014-2018 *
* *
* Permission is hereby granted, free of charge, to any person obtaining a copy of this *
* software and associated documentation files (the "Software"), to deal in the Software *
* without restriction, including without limitation the rights to use, copy, modify, *
* merge, publish, distribute, sublicense, and/or sell copies of the Software, and to *
* permit persons to whom the Software is furnished to do so, subject to the following *
* conditions: *
* *
* The above copyright notice and this permission notice shall be included in all copies *
* or substantial portions of the Software. *
* *
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A *
* PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT *
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF *
* CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE *
* OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. *
****************************************************************************************/
#include <modules/iswa/util/dataprocessortext.h>
//#include <algorithm>
//#include <boost/iostreams/device/mapped_file.hpp>
//
//#include <boost/config/warning_disable.hpp>
//#include <boost/spirit/include/qi.hpp>
//#include <boost/spirit/include/phoenix_core.hpp>
//#include <boost/spirit/include/phoenix_operator.hpp>
//#include <boost/spirit/include/phoenix_stl.hpp>
namespace {
constexpr const char* _loggerCat = "DataProcessorText";
} // namespace
namespace openspace{
DataProcessorText::DataProcessorText()
: DataProcessor()
{}
DataProcessorText::~DataProcessorText(){}
std::vector<std::string> DataProcessorText::readMetadata(std::string data,
glm::size3_t& dimensions)
{
//The intresting part of the file looks like this:
//# Output data: field with 61x61=3721 elements
//# x y z N V_x B_x
std::vector<std::string> options = std::vector<std::string>();
// The string where the interesting data begins
std::string info = "# Output data: field with ";
if(!data.empty()){
std::string line;
std::stringstream memorystream(data);
while(getline(memorystream, line)){
if(line.find(info) == 0){
line = line.substr(info.size());
std::stringstream ss(line);
std::string token;
getline(ss, token, 'x');
int x = std::stoi(token);
getline(ss, token, '=');
int y = std::stoi(token);
dimensions = glm::size3_t(x, y, 1);
getline(memorystream, line);
line = line.substr(1); //because of the # char
ss = std::stringstream(line);
std::string option;
while(ss >> option){
if(_coordinateVariables.find(option) == _coordinateVariables.end())
options.push_back(option);
}
}
}
}
return options;
}
void DataProcessorText::addDataValues(std::string data,
properties::SelectionProperty& dataOptions)
{
int numOptions = static_cast<int>(dataOptions.options().size());
initializeVectors(numOptions);
if (!data.empty()) {
std::string line;
std::stringstream memorystream(data);
// for standard diviation in the add() function
std::vector<float> sum(numOptions, 0.0f);
std::vector<std::vector<float>> optionValues(numOptions, std::vector<float>());
std::vector<float> values;
float value;
// for each data point
while(getline(memorystream, line)){
if(line.find("#") == 0) continue;
values = std::vector<float>();
std::istringstream ss(line);
std::string val;
int skip = 0;
//for each data option (variable)
while(ss >> val){
// first three values are coordinates
if( skip < 3 ){
skip++;
continue;
}
float v = std::stof(val);
// Some values are "NaN", use 0 instead
if(!std::isnan(v)){
values.push_back(v);
} else {
values.push_back(0.0f);
}
val.clear();
}
if(values.size() <= 0) continue;
for(int i=0; i<numOptions; i++){
value = values[i];
optionValues[i].push_back(value);
_min[i] = std::min(_min[i], value);
_max[i] = std::max(_max[i], value);
sum[i] += value;
}
}
add(optionValues, sum);
}
}
std::vector<float*> DataProcessorText::processData(std::string data,
properties::SelectionProperty& options,
glm::size3_t& dimensions)
{
if (!data.empty()) {
std::string line;
std::stringstream memorystream(data);
std::vector<int> selectedOptions = options.value();
// int numSelected = selectedOptions.size();
int numOptions = static_cast<int>(options.options().size());
std::vector<float> values;
float value;
int first, last, option, lineSize;
std::vector<float*> dataOptions(numOptions, nullptr);
for (int o : selectedOptions) {
dataOptions[o] = new float[dimensions.x * dimensions.y] { 0.f };
}
int numValues = 0;
while (getline(memorystream, line)) {
if (line.find("#") == 0) continue;
// ----------- OLD METHODS ------------------------
// values = std::vector<float>();
// std::stringstream ss(line);
// float v;
// while(ss >> v){
// values.push_back(v);
// }
// copy(
// std::istream_iterator<float> (ss),
// std::istream_iterator<float> (),
// back_inserter(values)
// );
// +3 because options x, y and z in the file
// copy(
// std::next( std::istream_iterator<float> (ss), 3 ),
// std::istream_iterator<float> (),
// back_inserter(values)
// );
// for(int option : selectedOptions){
// value = values[option];
// //value = values[option+3]; //+3 because options x, y and z in the file
// dataOptions[option][numValues] = processDataPoint(value, option);
// }
// ----------- OLD METHODS ------------------------
// first = 0;
last = 0;
option = -3;
lineSize = static_cast<int>(line.size());
while (last < lineSize) {
first = static_cast<int>(line.find_first_not_of(" \t", last));
last = static_cast<int>(line.find_first_of(" \t", first));
last = (last > 0)? last : lineSize;
auto it = std::find(
selectedOptions.begin(),
selectedOptions.end(),
option
);
if (option >= 0 && it != selectedOptions.end()) {
value = std::stof(line.substr(first, last));
dataOptions[option][numValues] = processDataPoint(value, option);
}
option++;
}
numValues++;
}
calculateFilterValues(selectedOptions);
return dataOptions;
}
return std::vector<float*>();
}
} //namespace openspace