int main(int argc, char** argv)
{
terrama2::core::initializeTerraMA();
terrama2::core::registerFactories();
QApplication app(argc, argv);
try
{
auto& serviceManager = terrama2::core::ServiceManager::getInstance();
std::map<std::string, std::string> connInfo { {"PG_HOST", TERRAMA2_DATABASE_HOST},
{"PG_PORT", TERRAMA2_DATABASE_PORT},
{"PG_USER", TERRAMA2_DATABASE_USERNAME},
{"PG_PASSWORD", TERRAMA2_DATABASE_PASSWORD},
{"PG_DB_NAME", TERRAMA2_DATABASE_DBNAME},
{"PG_CONNECT_TIMEOUT", "4"},
{"PG_CLIENT_ENCODING", "UTF-8"}
};
serviceManager.setLogConnectionInfo(connInfo);
serviceManager.setInstanceId(1);
std::shared_ptr<terrama2::services::view::core::DataManager> dataManager = std::make_shared<terrama2::services::view::core::DataManager>();
prepareExample(dataManager);
terrama2::services::view::core::Service service(dataManager);
service.start();
terrama2::services::view::core::View* view = new terrama2::services::view::core::View();
terrama2::services::view::core::ViewPtr viewPtr(view);
view->id = 1;
view->projectId = 1;
view->serviceInstanceId = 1;
view->active = true;
view->resolutionWidth = 800;
view->resolutionHeight = 600;
terrama2::core::Schedule schedule;
schedule.id = 1;
schedule.frequency = 2;
schedule.frequencyUnit = "min";
view->schedule = schedule;
view->dataSeriesList.push_back(1);
view->dataSeriesList.push_back(2);
view->dataSeriesList.push_back(3);
terrama2::core::Filter filter;
view->filtersPerDataSeries.emplace(1, filter);
view->filtersPerDataSeries.emplace(2, filter);
view->filtersPerDataSeries.emplace(3, filter);
dataManager->add(viewPtr);
QTimer timer;
QObject::connect(&timer, SIGNAL(timeout()), QCoreApplication::instance(), SLOT(quit()));
timer.start(20000);
app.exec();
service.stopService();
}
catch(const std::exception& e)
{
std::cout << std::endl << "An exception has occurred in DrawLayer example: " << e.what() << std::endl;
return EXIT_FAILURE;
}
catch(...)
{
std::cout << std::endl << "An unexpected exception has occurred in DrawLayer example!" << std::endl;
return EXIT_FAILURE;
}
terrama2::core::finalizeTerraMA();
return EXIT_SUCCESS;
}
string KNNAdapter::classify(vector<float>& example) {
Mat matExample;
prepareExample(example, matExample);
float prediction = knn.find_nearest(matExample, k);
return getLabelStringFromOpenCV(prediction);
}
