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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.schema;
import com.yahoo.collections.Pair;
import com.yahoo.config.model.application.provider.MockFileRegistry;
import com.yahoo.config.model.deploy.TestProperties;
import com.yahoo.search.query.profile.QueryProfile;
import com.yahoo.search.query.profile.QueryProfileRegistry;
import com.yahoo.search.query.profile.types.FieldDescription;
import com.yahoo.search.query.profile.types.QueryProfileType;
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;
/**
* @author lesters
*/
public class RankingExpressionShadowingTestCase extends AbstractSchemaTestCase {
@Test
void testBasicFunctionShadowing() throws ParseException {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
ApplicationBuilder builder = new ApplicationBuilder(rankProfileRegistry);
builder.addSchema(
"search test {\n" +
" document test { \n" +
" field a type string { \n" +
" indexing: index \n" +
" }\n" +
" }\n" +
" \n" +
" rank-profile test {\n" +
" function sin(x) {\n" +
" expression: x * x\n" +
" }\n" +
" first-phase {\n" +
" expression: sin(2)\n" +
" }\n" +
" }\n" +
"\n" +
"}\n");
builder.build(true);
Schema s = builder.getSchema();
RankProfile test = rankProfileRegistry.get(s, "test").compile(new QueryProfileRegistry(), new ImportedMlModels());
List<Pair<String, String>> testRankProperties = createRawRankProfile(test, new QueryProfileRegistry(), s).configProperties();
assertEquals("(rankingExpression(sin@).rankingScript, 2 * 2)",
censorBindingHash(testRankProperties.get(0).toString()));
assertEquals("(rankingExpression(sin).rankingScript, x * x)",
testRankProperties.get(1).toString());
assertEquals("(vespa.rank.firstphase, rankingExpression(sin@))",
censorBindingHash(testRankProperties.get(2).toString()));
}
@Test
void testMultiLevelFunctionShadowing() throws ParseException {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
ApplicationBuilder builder = new ApplicationBuilder(rankProfileRegistry);
builder.addSchema(
"search test {\n" +
" document test { \n" +
" field a type string { \n" +
" indexing: index \n" +
" }\n" +
" }\n" +
" \n" +
" rank-profile test {\n" +
" function tan(x) {\n" +
" expression: x * x\n" +
" }\n" +
" function cos(x) {\n" +
" expression: tan(x)\n" +
" }\n" +
" function sin(x) {\n" +
" expression: cos(x)\n" +
" }\n" +
" first-phase {\n" +
" expression: sin(2)\n" +
" }\n" +
" }\n" +
"\n" +
"}\n");
builder.build(true);
Schema s = builder.getSchema();
RankProfile test = rankProfileRegistry.get(s, "test").compile(new QueryProfileRegistry(), new ImportedMlModels());
List<Pair<String, String>> testRankProperties = createRawRankProfile(test, new QueryProfileRegistry(), s).configProperties();
assertEquals("(rankingExpression(tan@).rankingScript, 2 * 2)",
censorBindingHash(testRankProperties.get(0).toString()));
assertEquals("(rankingExpression(cos@).rankingScript, rankingExpression(tan@))",
censorBindingHash(testRankProperties.get(1).toString()));
assertEquals("(rankingExpression(sin@).rankingScript, rankingExpression(cos@))",
censorBindingHash(testRankProperties.get(2).toString()));
assertEquals("(rankingExpression(tan).rankingScript, x * x)",
testRankProperties.get(3).toString());
assertEquals("(rankingExpression(tan@).rankingScript, x * x)",
censorBindingHash(testRankProperties.get(4).toString()));
assertEquals("(rankingExpression(cos).rankingScript, rankingExpression(tan@))",
censorBindingHash(testRankProperties.get(5).toString()));
assertEquals("(rankingExpression(cos@).rankingScript, rankingExpression(tan@))",
censorBindingHash(testRankProperties.get(6).toString()));
assertEquals("(rankingExpression(sin).rankingScript, rankingExpression(cos@))",
censorBindingHash(testRankProperties.get(7).toString()));
assertEquals("(vespa.rank.firstphase, rankingExpression(sin@))",
censorBindingHash(testRankProperties.get(8).toString()));
}
@Test
void testFunctionShadowingArguments() throws ParseException {
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
ApplicationBuilder builder = new ApplicationBuilder(rankProfileRegistry);
builder.addSchema(
"search test {\n" +
" document test { \n" +
" field a type string { \n" +
" indexing: index \n" +
" }\n" +
" }\n" +
" \n" +
" rank-profile test {\n" +
" function sin(x) {\n" +
" expression: x * x\n" +
" }\n" +
" first-phase {\n" +
" expression: cos(sin(2*2)) + sin(cos(1+4))\n" +
" }\n" +
" }\n" +
"\n" +
"}\n");
builder.build(true);
Schema s = builder.getSchema();
RankProfile test = rankProfileRegistry.get(s, "test").compile(new QueryProfileRegistry(), new ImportedMlModels());
List<Pair<String, String>> testRankProperties = createRawRankProfile(test, new QueryProfileRegistry(), s).configProperties();
assertEquals("(rankingExpression(sin@).rankingScript, 4.0 * 4.0)",
censorBindingHash(testRankProperties.get(0).toString()));
assertEquals("(rankingExpression(sin@).rankingScript, cos(5.0) * cos(5.0))",
censorBindingHash(testRankProperties.get(1).toString()));
assertEquals("(rankingExpression(sin).rankingScript, x * x)",
testRankProperties.get(2).toString());
assertEquals("(vespa.rank.firstphase, rankingExpression(firstphase))",
censorBindingHash(testRankProperties.get(3).toString()));
assertEquals("(rankingExpression(firstphase).rankingScript, cos(rankingExpression(sin@)) + rankingExpression(sin@))",
censorBindingHash(testRankProperties.get(4).toString()));
}
@Test
void testNeuralNetworkSetup() throws ParseException {
// Note: the type assigned to query profile and constant tensors here is not the correct type
RankProfileRegistry rankProfileRegistry = new RankProfileRegistry();
QueryProfileRegistry queryProfiles = queryProfileWith("query(q)", "tensor(input[1])");
ApplicationBuilder builder = new ApplicationBuilder(rankProfileRegistry, queryProfiles);
builder.addSchema(
"search test {\n" +
" document test { \n" +
" field a type string { \n" +
" indexing: index \n" +
" }\n" +
" }\n" +
" \n" +
" rank-profile test {\n" +
" function relu(x) {\n" + // relu is a built in function, redefined here
" expression: max(1.0, x)\n" +
" }\n" +
" function hidden_layer() {\n" +
" expression: relu(sum(query(q) * constant(W_hidden), input) + constant(b_input))\n" +
" }\n" +
" function final_layer() {\n" +
" expression: sigmoid(sum(hidden_layer * constant(W_final), hidden) + constant(b_final))\n" +
" }\n" +
" second-phase {\n" +
" expression: sum(final_layer)\n" +
" }\n" +
" }\n" +
" constant W_hidden {\n" +
" type: tensor(hidden[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant b_input {\n" +
" type: tensor(hidden[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant W_final {\n" +
" type: tensor(final[1])\n" +
" file: ignored.json\n" +
" }\n" +
" constant b_final {\n" +
" type: tensor(final[1])\n" +
" file: ignored.json\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 = createRawRankProfile(test, queryProfiles, s).configProperties();
assertEquals("(rankingExpression(autogenerated_ranking_feature@).rankingScript, reduce(query(q) * constant(W_hidden), sum, input) + constant(b_input))",
censorBindingHash(testRankProperties.get(0).toString()));
assertEquals("(rankingExpression(relu@).rankingScript, max(1.0,rankingExpression(autogenerated_ranking_feature@)))",
censorBindingHash(testRankProperties.get(1).toString()));
assertEquals("(rankingExpression(hidden_layer).rankingScript, rankingExpression(relu@))",
censorBindingHash(testRankProperties.get(2).toString()));
assertEquals("(rankingExpression(final_layer).rankingScript, sigmoid(reduce(rankingExpression(hidden_layer) * constant(W_final), sum, hidden) + constant(b_final)))",
testRankProperties.get(4).toString());
assertEquals("(rankingExpression(relu).rankingScript, max(1.0,x))",
testRankProperties.get(6).toString());
assertEquals("(vespa.rank.secondphase, rankingExpression(secondphase))",
testRankProperties.get(7).toString());
assertEquals("(rankingExpression(secondphase).rankingScript, reduce(rankingExpression(final_layer), sum))",
testRankProperties.get(8).toString());
}
private static RawRankProfile createRawRankProfile(RankProfile profile, QueryProfileRegistry queryProfiles, Schema schema) {
return new RawRankProfile(profile,
new LargeRankingExpressions(new MockFileRegistry()),
queryProfiles,
new ImportedMlModels(),
new AttributeFields(schema),
new TestProperties());
}
private QueryProfileRegistry queryProfileWith(String field, String type) {
QueryProfileType queryProfileType = new QueryProfileType("root");
queryProfileType.addField(new FieldDescription(field, type));
QueryProfileRegistry queryProfileRegistry = new QueryProfileRegistry();
queryProfileRegistry.getTypeRegistry().register(queryProfileType);
QueryProfile profile = new QueryProfile("default");
profile.setType(queryProfileType);
queryProfileRegistry.register(profile);
return queryProfileRegistry;
}
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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