112 lines
4.0 KiB
Java
112 lines
4.0 KiB
Java
package org.gcube.dataanalysis.executor.tests;
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import java.util.List;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.interfaces.ComputationalAgent;
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import org.gcube.dataanalysis.ecoengine.processing.factories.GeneratorsFactory;
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public class RegressionTestGenerators {
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/**
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* example of parallel processing on a single machine the procedure will generate a new table for a distribution on suitable species
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*
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*/
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public static void main(String[] args) throws Exception {
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System.out.println("TEST 1");
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List<ComputationalAgent> generators = GeneratorsFactory.getGenerators(testAquamapsSuitable());
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generators.get(0).init();
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CustomRegressor.process(generators.get(0));
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generators = null;
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}
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private static AlgorithmConfiguration testAquamapsSuitable() {
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AlgorithmConfiguration config = CustomRegressor.getConfig();
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config.setNumberOfResources(5);
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config.setModel("AQUAMAPS_SUITABLE");
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config.setParam("UserName", "gianpaolo.coro");
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config.setGcubeScope("/gcube");
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config.setParam("ServiceUserName", "gianpaolo.coro");
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config.setParam("DistributionTable", "hspec_suitable_test_parallel");
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config.setParam("CsquarecodesTable", "hcaf_d");
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// config.setParam("EnvelopeTable", "hspen_filteredid_3a150e47_274e_47fc_b257_6a2933ec8e67");
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config.setParam("EnvelopeTable", "hspen1000");
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config.setParam("OccurrencePointsTable", "occurrencecells");
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config.setParam("CreateTable", "true");
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return config;
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}
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private static AlgorithmConfiguration testAquamapsNative() {
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AlgorithmConfiguration config = CustomRegressor.getConfig();
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config.setNumberOfResources(5);
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config.setModel("AQUAMAPS_NATIVE");
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config.setParam("UserName", "gianpaolo.coro");
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config.setGcubeScope("/gcube");
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config.setParam("ServiceUserName", "gianpaolo.coro");
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config.setParam("DistributionTable", "hspec_native_test_parallel2_1000");
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config.setParam("CsquarecodesTable", "hcaf_d");
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// config.setParam("EnvelopeTable", "hspen_micro_1");
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// config.setParam("EnvelopeTable", "hspen_mini_1000");
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config.setParam("EnvelopeTable", "hspen_filteredid_3a150e47_274e_47fc_b257_6a2933ec8e67");
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config.setParam("OccurrencePointsTable", "occurrencecells");
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config.setParam("CreateTable", "true");
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return config;
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}
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private static AlgorithmConfiguration testAquamapsNative2050() {
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AlgorithmConfiguration config = CustomRegressor.getConfig();
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config.setNumberOfResources(5);
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config.setModel("AQUAMAPS_NATIVE_2050");
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config.setParam("UserName", "gianpaolo.coro");
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config.setGcubeScope("/gcube");
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config.setParam("ServiceUserName", "gianpaolo.coro");
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config.setParam("DistributionTable", "hspec_native2050_test_parallel");
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config.setParam("CsquarecodesTable", "hcaf_d");
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// config.setParam("EnvelopeTable", "hspen_micro_1");
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// config.setParam("EnvelopeTable", "hspen_validation");
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config.setParam("EnvelopeTable", "hspen_filteredid_3a150e47_274e_47fc_b257_6a2933ec8e67");//1species
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config.setParam("OccurrencePointsTable", "occurrencecells");
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config.setParam("CreateTable", "true");
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return config;
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}
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private static AlgorithmConfiguration testAquamapsSuitable2050() {
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AlgorithmConfiguration config = CustomRegressor.getConfig();
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config.setNumberOfResources(5);
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config.setModel("AQUAMAPS_SUITABLE_2050");
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config.setParam("UserName", "gianpaolo.coro");
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config.setGcubeScope("/gcube");
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config.setParam("ServiceUserName", "gianpaolo.coro");
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config.setParam("DistributionTable", "hspec_suitable2050_test_parallel_validation2");
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config.setParam("CsquarecodesTable", "hcaf_d");
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// config.setParam("EnvelopeTable", "hspen_micro_1");
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config.setParam("EnvelopeTable", "hspen_filteredid_3a150e47_274e_47fc_b257_6a2933ec8e67");
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// config.setParam("EnvelopeTable", "hspen_validation");
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config.setParam("OccurrencePointsTable", "occurrencecells");
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config.setParam("CreateTable", "true");
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return config;
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}
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}
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