#include "SmileTest.h"

#include <fstream>
#include <iostream> // for cout
#include <iomanip> // for setprecision( int p )
#include <memory> // For auto_ptr
#include <sstream>

#include <boost/filesystem/path.hpp> // For system independent path support
namespace bf = boost::filesystem;

#include "FilePairLineIterator.h"

using namespace std;

CPPUNIT_TEST_SUITE_REGISTRATION( SmileTest );

SmileTest::SmileTest() : rotator( SMD_FACE_SIZE )
{
    std::string defaultFD( "./featuredetector/frozenData/" );
    loadFeatureDetector( defaultFD );
    smiledetector.setPixelMax( 1.0 );
}

void
SmileTest::loadFeatureDetector( const std::string &dir )
{
    bf::path dirPath( dir );
    bf::path fdtxml;
    bf::path gpriorxml;

    featureDetector.setUseSequence( false );

    fdtxml = dirPath / "left_eye_CERT3.fdtxml";
    gpriorxml = dirPath / "left_eye_CERT3.gpriorxml";
    featureDetector.loadFeatureFromFiles( fdtxml.native_file_string().c_str(), gpriorxml.native_file_string().c_str() );

    fdtxml = dirPath / "right_eye_CERT3.fdtxml";
    gpriorxml = dirPath / "right_eye_CERT3.gpriorxml";
    featureDetector.loadFeatureFromFiles( fdtxml.native_file_string().c_str(), gpriorxml.native_file_string().c_str() );

    fdtxml = dirPath / "nose_CERT3.fdtxml";
    gpriorxml = dirPath / "nose_CERT3.gpriorxml";
    featureDetector.loadFeatureFromFiles( fdtxml.native_file_string().c_str(), gpriorxml.native_file_string().c_str() );

    fdtxml = dirPath / "mouth_CERT3_1.fdtxml";
    gpriorxml = dirPath / "mouth_CERT3_1.gpriorxml";
    featureDetector.loadFeatureFromFiles( fdtxml.native_file_string().c_str(), gpriorxml.native_file_string().c_str() );

    featureDetector.setCERT3_3_FaceBox();
}

/**
 */
void SmileTest::setUp()
{
}

/**
 */
void SmileTest::tearDown()
{
}

/** Rotate an RImage and compare.
 * Rotate the input RImage and compare with one we know is properly rotated.
 */
void SmileTest::testDataFile()
{
    static const bf::path imageDir( "/Users/asalamon/Desktop/kalman_bu/testbot/Images" );
    float count = 0;
    float correct = 0;
    float errors = 0;
    FilePairLineIterator iter( "unit_test_data.txt" );

//    std::cout << "CERT v" << CERT_CLASS::getVersion() << " (build " << CERT_CLASS::getBuildString() << ")" << std::endl;
    while( !iter.eof() )
    {
        std::string filename1;
        std::string filename2;
        if( iter.nextDataLine( filename1, filename2 ) )
        {
            bf::path path1( imageDir / filename1 );
            bf::path path2( imageDir / filename2 );
            float smile1, smile2;
            if( smileForImage( path1.native_file_string(), smile1 )
                && smileForImage( path2.native_file_string(), smile2 ) )
            {
                if( smile1 > smile2 )
                    ++correct;
            }
            else
            {
                ++errors;
            }
            ++count;
        }
        else
        {
            // error message? Assert?
        }
    }

    CPPUNIT_ASSERT( count > 0.0 );

    float auc = correct / (count - errors);

    std::stringstream errorStream;
    errorStream << "SmileTest correct/total/missed-faces: " << correct << "/" << count << "/" << errors <<
    ". AUC (correct/(total-missed)) = " << auc;

    std::string errorString = errorStream.str() + "\n";
    CPPUNIT_ASSERT_MESSAGE( errorString, (auc > 0.96) );

    std::cout << ": " << errorStream.str();
}

bool
SmileTest::smileForImage( const std::string &filename, float &smile )
{
    RImage<float> pixels;

//    std::cout << "Image: " << filename << std::endl;
    if( !loader.loadRImage( pixels, filename ) )
        return false;

    EyeFaceList faceList;
    featureDetector.findEyes( pixels, faceList );

    ObjectWithFeatures *face = featureDetector.getLargestFace();

    if( face )
    {
        EyeFaceList faces;
        FDFaceObject tempFace;

        mp_FDEyes::FaceFromObject( tempFace, *face );
        faces.push_back( tempFace );

        RImage<float> *intImageTmp =featureDetector.getIntegralPtr().get(); // to get intergral image pointer
        RIntegral<float> *intImage = static_cast<RIntegral<float> *>(intImageTmp);

        int err = smiledetector.findSmilesGivenEyes( pixels, faces, 1.0f, intImage );
        if( SMD_NO_ERR != err )
        {
            return false;
        }

        smile = faces[0].activation;
        return true;
    }

    return false;
}