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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchdefinition.processing;
import com.yahoo.collections.Pair;
import com.yahoo.component.ComponentId;
import com.yahoo.config.model.application.provider.BaseDeployLogger;
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.searchdefinition.RankProfile;
import com.yahoo.searchdefinition.RankProfileRegistry;
import com.yahoo.searchdefinition.Search;
import com.yahoo.searchdefinition.SearchBuilder;
import com.yahoo.searchdefinition.SearchDefinitionTestCase;
import com.yahoo.searchdefinition.derived.AttributeFields;
import com.yahoo.searchdefinition.derived.RawRankProfile;
import com.yahoo.searchdefinition.parser.ParseException;
import com.yahoo.vespa.model.container.search.QueryProfiles;
import org.junit.Test;
import java.util.List;
import static org.junit.Assert.assertTrue;
public class TensorTransformTestCase extends SearchDefinitionTestCase {
@Test
public void requireThatNormalMaxAndMinAreNotReplaced() throws ParseException {
assertContainsExpression("max(1.0,2.0)", "max(1.0,2.0)");
assertContainsExpression("min(attribute(double_field),x)", "min(attribute(double_field),x)");
assertContainsExpression("max(attribute(double_field),attribute(double_array_field))", "max(attribute(double_field),attribute(double_array_field))");
assertContainsExpression("min(attribute(tensor_field_1),attribute(double_field))", "min(attribute(tensor_field_1),attribute(double_field))");
assertContainsExpression("max(attribute(tensor_field_1),attribute(tensor_field_2))", "max(attribute(tensor_field_1),attribute(tensor_field_2))");
assertContainsExpression("min(test_constant_tensor,1.0)", "min(constant(test_constant_tensor),1.0)");
assertContainsExpression("max(base_constant_tensor,1.0)", "max(constant(base_constant_tensor),1.0)");
assertContainsExpression("min(constant(file_constant_tensor),1.0)", "min(constant(file_constant_tensor),1.0)");
assertContainsExpression("max(query(q),1.0)", "max(query(q),1.0)");
assertContainsExpression("max(query(n),1.0)", "max(query(n),1.0)");
}
@Test
public void requireThatMaxAndMinWithTensorAttributesAreReplaced() throws ParseException {
assertContainsExpression("max(attribute(tensor_field_1),x)", "reduce(attribute(tensor_field_1),max,x)");
assertContainsExpression("1 + max(attribute(tensor_field_1),x)", "1+reduce(attribute(tensor_field_1),max,x)");
assertContainsExpression("if(attribute(double_field),1 + max(attribute(tensor_field_1),x),0)", "if(attribute(double_field),1+reduce(attribute(tensor_field_1),max,x),0)");
assertContainsExpression("max(max(attribute(tensor_field_1),attribute(tensor_field_2)),x)", "reduce(max(attribute(tensor_field_1),attribute(tensor_field_2)),max,x)");
assertContainsExpression("max(if(attribute(double_field),attribute(tensor_field_1),attribute(tensor_field_2)),x)", "reduce(if(attribute(double_field),attribute(tensor_field_1),attribute(tensor_field_2)),max,x)");
assertContainsExpression("max(max(attribute(tensor_field_1),x),x)", "max(reduce(attribute(tensor_field_1),max,x),x)"); // will result in deploy error.
assertContainsExpression("max(max(attribute(tensor_field_2),x),y)", "reduce(reduce(attribute(tensor_field_2),max,x),max,y)");
}
@Test
public void requireThatMaxAndMinWithConstantTensorsAreReplaced() throws ParseException {
assertContainsExpression("max(test_constant_tensor,x)", "reduce(constant(test_constant_tensor),max,x)");
assertContainsExpression("max(base_constant_tensor,x)", "reduce(constant(base_constant_tensor),max,x)");
assertContainsExpression("min(constant(file_constant_tensor),x)", "reduce(constant(file_constant_tensor),min,x)");
}
@Test
public void requireThatMaxAndMinWithTensorExpressionsAreReplaced() throws ParseException {
assertContainsExpression("min(attribute(double_field) + attribute(tensor_field_1),x)", "reduce(attribute(double_field)+attribute(tensor_field_1),min,x)");
assertContainsExpression("min(attribute(tensor_field_1) * attribute(tensor_field_2),x)", "reduce(attribute(tensor_field_1)*attribute(tensor_field_2),min,x)");
assertContainsExpression("min(join(attribute(tensor_field_1),attribute(tensor_field_2),f(x,y)(x*y)),x)", "reduce(join(attribute(tensor_field_1),attribute(tensor_field_2),f(x,y)(x*y)),min,x)");
assertContainsExpression("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(...)
assertContainsExpression("min(join(attribute(tensor_field_1),backend_rank_feature,f(x,y)(x*y)),x)", "min(join(attribute(tensor_field_1),backend_rank_feature,f(x,y)(x*y)),x)");
}
@Test
public void requireThatMaxAndMinWithTensorFromIsReplaced() throws ParseException {
assertContainsExpression("max(tensorFromLabels(attribute(double_array_field)),double_array_field)", "reduce(tensorFromLabels(attribute(double_array_field)),max,double_array_field)");
assertContainsExpression("max(tensorFromLabels(attribute(double_array_field),x),x)", "reduce(tensorFromLabels(attribute(double_array_field),x),max,x)");
assertContainsExpression("max(tensorFromWeightedSet(attribute(weightedset_field)),weightedset_field)", "reduce(tensorFromWeightedSet(attribute(weightedset_field)),max,weightedset_field)");
assertContainsExpression("max(tensorFromWeightedSet(attribute(weightedset_field),x),x)", "reduce(tensorFromWeightedSet(attribute(weightedset_field),x),max,x)");
}
@Test
public void requireThatMaxAndMinWithTensorInQueryIsReplaced() throws ParseException {
assertContainsExpression("max(query(q),x)", "reduce(query(q),max,x)");
assertContainsExpression("max(query(n),x)", "max(query(n),x)");
}
@Test
public void requireThatMaxAndMinWithTensoresReturnedFromMacrosAreReplaced() throws ParseException {
assertContainsExpression("max(returns_tensor,x)", "reduce(rankingExpression(returns_tensor),max,x)");
assertContainsExpression("max(wraps_returns_tensor,x)", "reduce(rankingExpression(wraps_returns_tensor),max,x)");
assertContainsExpression("max(tensor_inheriting,x)", "reduce(rankingExpression(tensor_inheriting),max,x)");
assertContainsExpression("max(returns_tensor_with_arg(attribute(tensor_field_1)),x)", "reduce(rankingExpression(returns_tensor_with_arg@),max,x)");
}
private void assertContainsExpression(String expr, String transformedExpression) throws ParseException {
assertTrue("Expected expression '" + transformedExpression + "' found",
containsExpression(expr, transformedExpression));
}
private boolean containsExpression(String expr, String transformedExpression) throws ParseException {
for (Pair<String, String> rankPropertyExpression : buildSearch(expr)) {
String rankProperty = rankPropertyExpression.getFirst();
if (rankProperty.equals("rankingExpression(firstphase).rankingScript")) {
String rankExpression = censorBindingHash(rankPropertyExpression.getSecond().replace(" ",""));
return rankExpression.equals(transformedExpression);
}
}
return false;
}
private List<Pair<String, String>> buildSearch(String expression) throws ParseException {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
SearchBuilder builder = new SearchBuilder(rankProfileRegistry);
builder.importString(
"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<double> { \n" +
" indexing: summary | attribute \n" +
" }\n" +
" field tensor_field_1 type tensor(x{}) { \n" +
" indexing: summary | attribute \n" +
" attribute: tensor(x{}) \n" +
" }\n" +
" field tensor_field_2 type tensor(x[3],y[3]) { \n" +
" indexing: summary | attribute \n" +
" attribute: tensor(x[3],y[3]) \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 {\n" +
" value: { {x:0}:0 }\n" +
" }\n" +
" }\n" +
" macro base_tensor() {\n" +
" expression: constant(base_constant_tensor)\n" +
" }\n" +
" }\n" +
" rank-profile test inherits base {\n" +
" constants {\n" +
" test_constant_tensor {\n" +
" value: { {x:0}:1 }\n" +
" }\n" +
" }\n" +
" macro returns_tensor_with_arg(arg1) {\n" +
" expression: 2.0 * arg1\n" +
" }\n" +
" macro wraps_returns_tensor() {\n" +
" expression: returns_tensor\n" +
" }\n" +
" macro returns_tensor() {\n" +
" expression: attribute(tensor_field_2)\n" +
" }\n" +
" macro tensor_inheriting() {\n" +
" expression: base_tensor\n" +
" }\n" +
" first-phase {\n" +
" expression: " + expression + "\n" +
" }\n" +
" }\n" +
"}\n");
builder.build(new BaseDeployLogger(), setupQueryProfileTypes());
Search s = builder.getSearch();
RankProfile test = rankProfileRegistry.getRankProfile(s, "test").compile(new QueryProfileRegistry());
List<Pair<String, String>> testRankProperties = new RawRankProfile(test,
new QueryProfileRegistry(),
new AttributeFields(s)).configProperties();
return testRankProperties;
}
private static QueryProfiles 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 new QueryProfiles(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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