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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 com.yahoo.searchdefinition.processing;
import com.yahoo.searchdefinition.RankProfile;
import com.yahoo.searchdefinition.RankProfileRegistry;
import com.yahoo.searchdefinition.SearchBuilder;
import com.yahoo.searchlib.rankingexpression.rule.ReferenceNode;
import com.yahoo.tensor.TensorType;
import com.yahoo.yolean.Exceptions;
import org.junit.Test;
import java.util.Map;
import java.util.stream.Collectors;
import static com.yahoo.config.model.test.TestUtil.joinLines;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.fail;
/**
* @author bratseth
*/
public class RankingExpressionTypeValidatorTestCase {
@Test
public void tensorFirstPhaseMustProduceDouble() throws Exception {
try {
SearchBuilder builder = new SearchBuilder();
builder.importString(joinLines(
"search test {",
" document test { ",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" }",
" rank-profile my_rank_profile {",
" first-phase {",
" expression: attribute(a)",
" }",
" }",
"}"
));
builder.build();
fail("Expected exception");
}
catch (IllegalArgumentException expected) {
assertEquals("In search definition 'test', rank profile 'my_rank_profile': The first-phase expression must produce a double (a tensor with no dimensions), but produces tensor(x[],y[])",
Exceptions.toMessageString(expected));
}
}
@Test
public void tensorSecondPhaseMustProduceDouble() throws Exception {
try {
SearchBuilder builder = new SearchBuilder();
builder.importString(joinLines(
"search test {",
" document test { ",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" }",
" rank-profile my_rank_profile {",
" first-phase {",
" expression: sum(attribute(a))",
" }",
" second-phase {",
" expression: attribute(a)",
" }",
" }",
"}"
));
builder.build();
fail("Expected exception");
}
catch (IllegalArgumentException expected) {
assertEquals("In search definition 'test', rank profile 'my_rank_profile': The second-phase expression must produce a double (a tensor with no dimensions), but produces tensor(x[],y[])",
Exceptions.toMessageString(expected));
}
}
@Test
public void tensorConditionsMustHaveTypeCompatibleBranches() throws Exception {
try {
SearchBuilder searchBuilder = new SearchBuilder();
searchBuilder.importString(joinLines(
"search test {",
" document test { ",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" field b type tensor(z[10]) {",
" indexing: attribute",
" }",
" }",
" rank-profile my_rank_profile {",
" first-phase {",
" expression: sum(if(1>0, attribute(a), attribute(b)))",
" }",
" }",
"}"
));
searchBuilder.build();
fail("Expected exception");
}
catch (IllegalArgumentException expected) {
assertEquals("In search definition 'test', rank profile 'my_rank_profile': The first-phase expression is invalid: An if expression must produce compatible types in both alternatives, but the 'true' type is tensor(x[],y[]) while the 'false' type is tensor(z[10])",
Exceptions.toMessageString(expected));
}
}
@Test
public void testMacroInvocationTypes() throws Exception {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
SearchBuilder builder = new SearchBuilder(rankProfileRegistry);
builder.importString(joinLines(
"search test {",
" document test { ",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" field b type tensor(z[10]) {",
" indexing: attribute",
" }",
" }",
" rank-profile my_rank_profile {",
" macro macro1(attribute_to_use) {",
" expression: attribute(attribute_to_use)",
" }",
" summary-features {",
" macro1(a)",
" macro1(b)",
" }",
" }",
"}"
));
builder.build();
RankProfile profile =
builder.getRankProfileRegistry().get(builder.getSearch(), "my_rank_profile");
assertEquals(TensorType.fromSpec("tensor(x[],y[])"),
summaryFeatures(profile).get("macro1(a)").type(profile.typeContext(builder.getQueryProfileRegistry())));
assertEquals(TensorType.fromSpec("tensor(z[10])"),
summaryFeatures(profile).get("macro1(b)").type(profile.typeContext(builder.getQueryProfileRegistry())));
}
@Test
public void testTensorMacroInvocationTypes_Nested() throws Exception {
SearchBuilder builder = new SearchBuilder();
builder.importString(joinLines(
"search test {",
" document test { ",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" field b type tensor(z[10]) {",
" indexing: attribute",
" }",
" }",
" rank-profile my_rank_profile {",
" macro return_a() {",
" expression: return_first(attribute(a), attribute(b))",
" }",
" macro return_b() {",
" expression: return_second(attribute(a), attribute(b))",
" }",
" macro return_first(e1, e2) {",
" expression: e1",
" }",
" macro return_second(e1, e2) {",
" expression: return_first(e2, e1)",
" }",
" summary-features {",
" return_a",
" return_b",
" }",
" }",
"}"
));
builder.build();
RankProfile profile =
builder.getRankProfileRegistry().get(builder.getSearch(), "my_rank_profile");
assertEquals(TensorType.fromSpec("tensor(x[],y[])"),
summaryFeatures(profile).get("return_a").type(profile.typeContext(builder.getQueryProfileRegistry())));
assertEquals(TensorType.fromSpec("tensor(z[10])"),
summaryFeatures(profile).get("return_b").type(profile.typeContext(builder.getQueryProfileRegistry())));
}
@Test
public void importedFieldsAreAvailable() throws Exception {
SearchBuilder builder = new SearchBuilder();
builder.importString(joinLines(
"search parent {",
" document parent {",
" field a type tensor(x[],y[]) {",
" indexing: attribute",
" }",
" }",
"}"
));
builder.importString(joinLines(
"search child {",
" document child { ",
" field ref type reference<parent> {",
"indexing: attribute | summary",
" }",
" }",
" import field ref.a as imported_a {}",
" rank-profile my_rank_profile {",
" first-phase {",
" expression: sum(attribute(imported_a))",
" }",
" }",
"}"
));
builder.build();
}
@Test
public void undeclaredQueryFeaturesAreAccepted() throws Exception {
SearchBuilder builder = new SearchBuilder();
builder.importString(joinLines(
"search test {",
" document test { ",
" }",
" rank-profile my_rank_profile {",
" first-phase {",
" expression: query(foo)",
" }",
" }",
"}"
));
builder.build();
}
private Map<String, ReferenceNode> summaryFeatures(RankProfile profile) {
return profile.getSummaryFeatures().stream().collect(Collectors.toMap(f -> f.toString(), f -> f));
}
}
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