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git-svn-id: https://svn.d4science.research-infrastructures.eu/gcube/trunk/data-analysis/EcologicalEngineSmartExecutor@122178 82a268e6-3cf1-43bd-a215-b396298e98cf

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Gianpaolo Coro 2016-01-10 18:51:47 +00:00
parent 6dc02ec422
commit 5338b7f0df
1 changed files with 44 additions and 0 deletions
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src/main/java/org/gcube/dataanalysis/executor/tests/TestKnitrCompiler.java Normal file
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package org.gcube.dataanalysis.executor.tests;
import java.util.List;
import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
import org.gcube.dataanalysis.ecoengine.interfaces.ComputationalAgent;
import org.gcube.dataanalysis.ecoengine.processing.factories.TransducerersFactory;
import org.gcube.dataanalysis.ecoengine.test.regression.Regressor;
public class TestKnitrCompiler {
public static void main(String[] args) throws Exception {
// setup the configuration
AlgorithmConfiguration config = new AlgorithmConfiguration();
// set the path to the cfg folder and to the PARALLEL_PROCESSING folder
config.setConfigPath("./cfg/");
config.setPersistencePath("./PARALLEL_PROCESSING");
AnalysisLogger.setLogger(config.getConfigPath()+AlgorithmConfiguration.defaultLoggerFile);
//set the scope and the user (optional for this test)
config.setGcubeScope( "/gcube/devsec/devVRE");
config.setParam("ServiceUserName", "test.user");
config.setParam("zipfile", "C:/Users/coro/Desktop/WorkFolder/Workspace/EcologicalEngineSmartExecutor/cfg/knitr_test_julien_wfs.zip");
config.setParam("file.inout", "test_julien_zip");
//set the name of the algorithm to call, as is is in the transducerer.properties file
config.setAgent("KNITR_COMPILER");
//recall the transducerer with the above name
List<ComputationalAgent> transducers = TransducerersFactory.getTransducerers(config);
ComputationalAgent transducer =transducers.get(0);
//init the transducerer
transducer.init();
//start the process
Regressor.process(transducer);
//retrieve the output
StatisticalType st = transducer.getOutput();
System.out.println("st:"+((PrimitiveType)st).getContent());
}
}