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// Copyright 2018 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package ai.vespa.models.evaluation;
import com.yahoo.config.subscription.ConfigGetter;
import com.yahoo.config.subscription.FileSource;
import com.yahoo.path.Path;
import com.yahoo.tensor.Tensor;
import com.yahoo.vespa.config.search.RankProfilesConfig;
import com.yahoo.vespa.config.search.core.RankingConstantsConfig;
import org.junit.Test;
import java.io.File;
import static org.junit.Assert.assertEquals;
/**
* @author bratseth
*/
public class ModelsEvaluatorTest {
private static final double delta = 0.00000000001;
@Test
public void testTensorEvaluation() {
ModelsEvaluator models = createModels("src/test/resources/config/rankexpression/");
FunctionEvaluator function = models.evaluatorOf("macros", "fourtimessum");
function.bind("var1", Tensor.from("{{x:0}:3,{x:1}:5}"));
function.bind("var2", Tensor.from("{{x:0}:7,{x:1}:11}"));
assertEquals(Tensor.from("{{x:0}:40.0,{x:1}:64.0}"), function.evaluate());
}
@Test
public void testEvaluationDependingOnMacroTakingArguments() {
ModelsEvaluator models = createModels("src/test/resources/config/rankexpression/");
FunctionEvaluator function = models.evaluatorOf("macros", "secondphase");
function.bind("match", 3);
function.bind("rankBoost", 5);
assertEquals(32.0, function.evaluate().asDouble(), delta);
}
// TODO: Test argument-less function
// TODO: Test that binding nonexisting variable doesn't work
// TODO: Test that rebinding doesn't work
// TODO: Test with nested macros
private ModelsEvaluator createModels(String path) {
Path configDir = Path.fromString(path);
RankProfilesConfig config = new ConfigGetter<>(new FileSource(configDir.append("rank-profiles.cfg").toFile()),
RankProfilesConfig.class).getConfig("");
RankingConstantsConfig constantsConfig = new ConfigGetter<>(new FileSource(configDir.append("ranking-constants.cfg").toFile()),
RankingConstantsConfig.class).getConfig("");
return new ModelsEvaluator(config, constantsConfig);
}
}
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