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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.schema.processing;
import com.yahoo.collections.Pair;
import com.yahoo.component.ComponentId;
import com.yahoo.config.model.application.provider.MockFileRegistry;
import com.yahoo.config.model.deploy.TestProperties;
import com.yahoo.search.query.profile.QueryProfileRegistry;
import com.yahoo.search.query.profile.types.FieldDescription;
import com.yahoo.search.query.profile.types.FieldType;
import com.yahoo.search.query.profile.types.QueryProfileType;
import com.yahoo.search.query.profile.types.QueryProfileTypeRegistry;
import com.yahoo.schema.LargeRankingExpressions;
import com.yahoo.schema.RankProfile;
import com.yahoo.schema.RankProfileRegistry;
import com.yahoo.schema.Schema;
import com.yahoo.schema.ApplicationBuilder;
import com.yahoo.schema.AbstractSchemaTestCase;
import com.yahoo.schema.derived.AttributeFields;
import com.yahoo.schema.derived.RawRankProfile;
import com.yahoo.schema.parser.ParseException;
import ai.vespa.rankingexpression.importer.configmodelview.ImportedMlModels;
import org.junit.jupiter.api.Test;
import java.util.List;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.fail;
public class TensorTransformTestCase extends AbstractSchemaTestCase {
@Test
void requireThatNormalMaxAndMinAreNotReplaced() throws ParseException {
assertTransformedExpression("max(1.0,2.0)",
"max(1.0,2.0)");
assertTransformedExpression("min(attribute(double_field),x)",
"min(attribute(double_field),x)");
assertTransformedExpression("max(attribute(double_field),attribute(double_array_field))",
"max(attribute(double_field),attribute(double_array_field))");
assertTransformedExpression("min(attribute(tensor_field_1),attribute(double_field))",
"min(attribute(tensor_field_1),attribute(double_field))");
assertTransformedExpression("reduce(max(attribute(tensor_field_1),attribute(tensor_field_2)),sum)",
"reduce(max(attribute(tensor_field_1),attribute(tensor_field_2)),sum)");
assertTransformedExpression("min(constant(test_constant_tensor),1.0)",
"min(test_constant_tensor,1.0)");
assertTransformedExpression("max(constant(base_constant_tensor),1.0)",
"max(base_constant_tensor,1.0)");
assertTransformedExpression("min(constant(file_constant_tensor),1.0)",
"min(constant(file_constant_tensor),1.0)");
assertTransformedExpression("max(query(q),1.0)",
"max(query(q),1.0)");
assertTransformedExpression("max(query(n),1.0)",
"max(query(n),1.0)");
}
@Test
void requireThatMaxAndMinWithTensorAttributesAreReplaced() throws ParseException {
assertTransformedExpression("reduce(attribute(tensor_field_1),max,x)",
"max(attribute(tensor_field_1),x)");
assertTransformedExpression("1+reduce(attribute(tensor_field_1),max,x)",
"1 + max(attribute(tensor_field_1),x)");
assertTransformedExpression("if(attribute(double_field),1+reduce(attribute(tensor_field_1),max,x),reduce(attribute(tensor_field_1),sum,x))",
"if(attribute(double_field),1 + max(attribute(tensor_field_1),x),reduce(attribute(tensor_field_1), sum, x))");
assertTransformedExpression("reduce(max(attribute(tensor_field_1),attribute(tensor_field_2)),max,x)",
"max(max(attribute(tensor_field_1),attribute(tensor_field_2)),x)");
assertTransformedExpression("reduce(if(attribute(double_field),attribute(tensor_field_2),attribute(tensor_field_2)),max,x)",
"max(if(attribute(double_field),attribute(tensor_field_2),attribute(tensor_field_2)),x)");
assertTransformedExpression("max(reduce(attribute(tensor_field_1),max,x),x)",
"max(max(attribute(tensor_field_1),x),x)"); // will result in deploy error.
assertTransformedExpression("reduce(reduce(attribute(tensor_field_2),max,x),max,y)",
"max(max(attribute(tensor_field_2),x),y)");
}
@Test
void requireThatMaxAndMinWithConstantTensorsAreReplaced() throws ParseException {
assertTransformedExpression("reduce(constant(test_constant_tensor),max,x)",
"max(test_constant_tensor,x)");
assertTransformedExpression("reduce(constant(base_constant_tensor),max,x)",
"max(base_constant_tensor,x)");
assertTransformedExpression("reduce(constant(file_constant_tensor),min,x)",
"min(constant(file_constant_tensor),x)");
}
@Test
void requireThatMaxAndMinWithTensorExpressionsAreReplaced() throws ParseException {
assertTransformedExpression("reduce(attribute(double_field)+attribute(tensor_field_1),min,x)",
"min(attribute(double_field) + attribute(tensor_field_1),x)");
assertTransformedExpression("reduce(attribute(tensor_field_1)*attribute(tensor_field_2),min,x)",
"min(attribute(tensor_field_1) * attribute(tensor_field_2),x)");
assertTransformedExpression("reduce(join(attribute(tensor_field_1),attribute(tensor_field_2),f(x,y)(x*y)),min,x)",
"min(join(attribute(tensor_field_1),attribute(tensor_field_2),f(x,y)(x*y)),x)");
assertTransformedExpression("min(join(tensor_field_1,tensor_field_2,f(x,y)(x*y)),x)",
"min(join(tensor_field_1,tensor_field_2,f(x,y)(x*y)),x)"); // because tensor fields are not in attribute(...)
assertTransformedExpression("reduce(join(attribute(tensor_field_1),backend_rank_feature,f(x,y)(x*y)),min,x)",
"min(join(attribute(tensor_field_1),backend_rank_feature,f(x,y)(x*y)),x)");
}
@Test
void requireThatMaxAndMinWithTensorFromIsReplaced() throws ParseException {
assertTransformedExpression("reduce(tensorFromLabels(attribute(double_array_field)),max,double_array_field)",
"max(tensorFromLabels(attribute(double_array_field)),double_array_field)");
assertTransformedExpression("reduce(tensorFromLabels(attribute(double_array_field),x),max,x)",
"max(tensorFromLabels(attribute(double_array_field),x),x)");
assertTransformedExpression("reduce(tensorFromWeightedSet(attribute(weightedset_field)),max,weightedset_field)",
"max(tensorFromWeightedSet(attribute(weightedset_field)),weightedset_field)");
assertTransformedExpression("reduce(tensorFromWeightedSet(attribute(weightedset_field),x),max,x)",
"max(tensorFromWeightedSet(attribute(weightedset_field),x),x)");
}
@Test
void requireThatMaxAndMinWithTensorInQueryIsReplaced() throws ParseException {
assertTransformedExpression("reduce(query(q),max,x)", "max(query(q),x)");
assertTransformedExpression("max(query(n),x)", "max(query(n),x)");
}
@Test
void requireThatMaxAndMinWithTensorsReturnedFromFunctionsAreReplaced() throws ParseException {
assertTransformedExpression("reduce(rankingExpression(returns_tensor),max,x)",
"max(returns_tensor,x)");
assertTransformedExpression("reduce(rankingExpression(wraps_returns_tensor),max,x)",
"max(wraps_returns_tensor,x)");
assertTransformedExpression("reduce(rankingExpression(tensor_inheriting),max,x)",
"max(tensor_inheriting,x)");
assertTransformedExpression("reduce(rankingExpression(returns_tensor_with_arg@),max,x)",
"max(returns_tensor_with_arg(attribute(tensor_field_1)),x)");
}
private void assertTransformedExpression(String expected, String original) throws ParseException {
for (Pair<String, String> rankPropertyExpression : buildSearch(original)) {
String rankProperty = rankPropertyExpression.getFirst();
if (rankProperty.equals("rankingExpression(testexpression).rankingScript")) {
String rankExpression = censorBindingHash(rankPropertyExpression.getSecond().replace(" ",""));
assertEquals(expected, rankExpression);
return;
}
}
fail("No 'rankingExpression(testexpression).rankingScript' property produced");
}
private List<Pair<String, String>> buildSearch(String expression) throws ParseException {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
QueryProfileRegistry queryProfiles = setupQueryProfileTypes();
ApplicationBuilder builder = new ApplicationBuilder(rankProfileRegistry, queryProfiles);
builder.addSchema(
"search test {\n" +
" document test { \n" +
" field double_field type double { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" field double_array_field type array<double> { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" field weightedset_field type weightedset<int> { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" field tensor_field_1 type tensor(x{}) { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" field tensor_field_2 type tensor(x[3],y[3]) { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" }\n" +
" constant file_constant_tensor {\n" +
" file: constants/tensor.json\n" +
" type: tensor(x{})\n" +
" }\n" +
" rank-profile base {\n" +
" constants {\n" +
" base_constant_tensor tensor(x[1]):[0]\n"+
" }\n" +
" function base_tensor() {\n" +
" expression: constant(base_constant_tensor)\n" +
" }\n" +
" }\n" +
" rank-profile test inherits base {\n" +
" constants {\n" +
" test_constant_tensor tensor(x[1]):[1]" +
" }\n" +
" function returns_tensor_with_arg(arg1) {\n" +
" expression: 2.0 * arg1\n" +
" }\n" +
" function wraps_returns_tensor() {\n" +
" expression: returns_tensor\n" +
" }\n" +
" function returns_tensor() {\n" +
" expression: attribute(tensor_field_2)\n" +
" }\n" +
" function tensor_inheriting() {\n" +
" expression: base_tensor\n" +
" }\n" +
" function testexpression() {\n" +
" expression: " + expression + "\n" +
" }\n" +
" }\n" +
"}\n");
builder.build(true);
Schema s = builder.getSchema();
RankProfile test = rankProfileRegistry.get(s, "test").compile(queryProfiles, new ImportedMlModels());
List<Pair<String, String>> testRankProperties = new RawRankProfile(test,
new LargeRankingExpressions(new MockFileRegistry()),
queryProfiles,
new ImportedMlModels(),
new AttributeFields(s), new TestProperties()).configProperties();
return testRankProperties;
}
private static QueryProfileRegistry setupQueryProfileTypes() {
QueryProfileRegistry registry = new QueryProfileRegistry();
QueryProfileTypeRegistry typeRegistry = registry.getTypeRegistry();
QueryProfileType type = new QueryProfileType(new ComponentId("testtype"));
type.addField(new FieldDescription("ranking.features.query(q)",
FieldType.fromString("tensor(x{})", typeRegistry)), typeRegistry);
type.addField(new FieldDescription("ranking.features.query(n)",
FieldType.fromString("integer", typeRegistry)), typeRegistry);
typeRegistry.register(type);
return registry;
}
private String censorBindingHash(String s) {
StringBuilder b = new StringBuilder();
boolean areInHash = false;
for (int i = 0; i < s.length() ; i++) {
char current = s.charAt(i);
if ( ! Character.isLetterOrDigit(current)) // end of hash
areInHash = false;
if ( ! areInHash)
b.append(current);
if (current == '@') // start of hash
areInHash = true;
}
return b.toString();
}
}
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