OpenSpace/modules/iswa/util/dataprocessorkameleon.cpp

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 * OpenSpace                                                                             *
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 * Copyright (c) 2014-2018                                                               *
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#include <modules/iswa/util/dataprocessorkameleon.h>
//#include <algorithm>
#include <ghoul/filesystem/filesystem.h>
#include <ghoul/glm.h>

namespace {
    constexpr const char* _loggerCat = "DataProcessorKameleon";
} // namespace

namespace openspace {

DataProcessorKameleon::DataProcessorKameleon()
    : DataProcessor()
    , _kwPath("")
    , _kw(nullptr)
    , _initialized(false)
    , _slice(0.5)
{}

DataProcessorKameleon::~DataProcessorKameleon(){}

std::vector<std::string> DataProcessorKameleon::readMetadata(std::string path,
                                                             glm::size3_t&)
{
    if (!path.empty()) {
        if (path != _kwPath || !_kw) {
            initializeKameleonWrapper(path);
        }

        std::vector<std::string> opts = _kw->getVariables();
        opts.erase(
            std::remove_if(
                opts.begin(),
                opts.end(),
                [this](std::string opt) {
                     return (opt.size() > 3 ||
                            _coordinateVariables.find(opt) != _coordinateVariables.end());
                 }
            ),
            opts.end()
        );
        return opts;
    }

    return std::vector<std::string>();
}

void DataProcessorKameleon::addDataValues(std::string path,
                                          properties::SelectionProperty& dataOptions)
{
    int numOptions = static_cast<int>(dataOptions.options().size());
    initializeVectors(numOptions);

    if (!path.empty()) {
        if (path != _kwPath || !_kw) {
            initializeKameleonWrapper(path);
        }

        std::vector<float> sum(numOptions, 0.0f);
        std::vector<std::vector<float>> optionValues(numOptions, std::vector<float>());
        auto options = dataOptions.options();

        int numValues = static_cast<int>(_dimensions.x * _dimensions.y * _dimensions.z);

        float* values;
        float value;

        for (int i=0; i<numOptions; i++) {
            //0.5 to gather interesting values for the normalization/histograms.
            values = _kw->getUniformSliceValues(
                options[i].description,
                _dimensions,
                0.5f
            );

            for (int j=0; j<numValues; j++) {
                value = values[j];

                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*> DataProcessorKameleon::processData(std::string path,
                                               properties::SelectionProperty& dataOptions,
                                               glm::size3_t& dimensions,
                                               float slice)
{
    _slice = slice;
    // _dimensions = dimensions;
    return processData(path, dataOptions, dimensions);
}

std::vector<float*> DataProcessorKameleon::processData(std::string path,
                                               properties::SelectionProperty& optionProp,
                                               glm::size3_t& dimensions)
{
    int numOptions = static_cast<int>(optionProp.options().size());

    if (!path.empty()) {
        if (path != _kwPath || !_kw) {
            initializeKameleonWrapper(path);
        }

        std::vector<int> selectedOptions = optionProp.value();
//        int numSelected = selectedOptions.size();

        const std::vector<properties::SelectionProperty::Option>& options =
            optionProp.options();

        int numValues = static_cast<int>(glm::compMul(dimensions));

        float value;

        std::vector<float*> dataOptions(numOptions, nullptr);
        for (int option : selectedOptions) {
            dataOptions[option] = _kw->getUniformSliceValues(
                options[option].description,
                dimensions,
                _slice
            );

            for (int i = 0; i < numValues; i++) {
                value = dataOptions[option][i];
                dataOptions[option][i] = processDataPoint(value, option);
            }
        }

        calculateFilterValues(selectedOptions);
        return dataOptions;
    }
    return std::vector<float*>(numOptions, nullptr);
}

void DataProcessorKameleon::dimensions(glm::size3_t dimensions) {
    _dimensions = dimensions;
}

void DataProcessorKameleon::initializeKameleonWrapper(std::string path){
    const std::string& extension = ghoul::filesystem::File(absPath(path)).fileExtension();
    if(FileSys.fileExists(absPath(path)) && extension == "cdf"){
        if(_kw) _kw->close();

        _kwPath = path;
        _kw = std::make_shared<KameleonWrapper>(absPath(_kwPath));
    }
}

} //namespace openspace