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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.FileReference;
import com.yahoo.config.subscription.ConfigGetter;
import com.yahoo.config.subscription.FileSource;
import com.yahoo.filedistribution.fileacquirer.FileAcquirer;
import com.yahoo.filedistribution.fileacquirer.MockFileAcquirer;
import com.yahoo.io.GrowableByteBuffer;
import com.yahoo.io.IOUtils;
import com.yahoo.path.Path;
import com.yahoo.searchlib.rankingexpression.ExpressionFunction;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import com.yahoo.tensor.serialization.TypedBinaryFormat;
import com.yahoo.vespa.config.search.RankProfilesConfig;
import com.yahoo.vespa.config.search.core.OnnxModelsConfig;
import com.yahoo.vespa.config.search.core.RankingConstantsConfig;
import com.yahoo.vespa.config.search.core.RankingExpressionsConfig;
import java.io.IOException;
import java.util.Map;
import java.util.Optional;
import java.util.logging.Logger;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
/**
* Helper for testing model import and evaluation
*
* @author bratseth
*/
public class ModelTester {
private final Map<String, Model> models;
public ModelTester(String modelConfigDirectory) {
models = createModels(modelConfigDirectory);
}
public Map<String, Model> models() { return models; }
private static Map<String, Model> 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("");
RankingExpressionsConfig expresionsConfig = new ConfigGetter<>(new FileSource(configDir.append("ranking-expressions.cfg").toFile()),
RankingExpressionsConfig.class).getConfig("");
OnnxModelsConfig onnxModelsConfig = new ConfigGetter<>(new FileSource(configDir.append("onnx-models.cfg").toFile()),
OnnxModelsConfig.class).getConfig("");
return new RankProfilesConfigImporterWithMockedConstants(Path.fromString(path).append("constants"), MockFileAcquirer.returnFile(null))
.importFrom(config, constantsConfig, expresionsConfig, onnxModelsConfig);
}
public ExpressionFunction assertFunction(String name, String expression, Model model) {
assertNotNull("Model is present in config", model);
ExpressionFunction function = model.function(name);
assertNotNull("Function '" + name + "' is in " + model, function);
assertEquals(name, function.getName());
assertEquals(expression, function.getBody().getRoot().toString());
return function;
}
public void assertBoundFunction(String name, String expression, Model model) {
ExpressionFunction function = model.referencedFunctions().get(FunctionReference.fromSerial(name).get());
assertNotNull("Function '" + name + "' is present", function);
assertEquals(expression, function.getBody().getRoot().toString());
}
/** Allows us to provide canned tensor constants during import since file distribution does not work in tests */
public static class RankProfilesConfigImporterWithMockedConstants extends RankProfilesConfigImporter {
private static final Logger log = Logger.getLogger(RankProfilesConfigImporterWithMockedConstants.class.getName());
private final Path constantsPath;
public RankProfilesConfigImporterWithMockedConstants(Path constantsPath, FileAcquirer fileAcquirer) {
super(fileAcquirer);
this.constantsPath = constantsPath;
}
@Override
protected Tensor readTensorFromFile(String name, TensorType type, FileReference fileReference) {
try {
return TypedBinaryFormat.decode(Optional.of(type),
GrowableByteBuffer.wrap(IOUtils.readFileBytes(constantsPath.append(name).toFile())));
}
catch (IOException e) {
log.warning("Missing a mocked tensor constant for '" + name + "': " + e.getMessage() +
". Returning an empty tensor");
return Tensor.from(type, "{}");
}
}
}
}
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