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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.search.schema;
import com.yahoo.container.QrSearchersConfig;
import com.yahoo.search.Query;
import com.yahoo.search.config.SchemaInfoConfig;
import com.yahoo.search.schema.RankProfile.InputType;
import com.yahoo.tensor.TensorType;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import static org.junit.jupiter.api.Assertions.assertEquals;
/**
* @author bratseth
*/
public class SchemaInfoTester {
private final SchemaInfo schemaInfo;
SchemaInfoTester() {
this.schemaInfo = createSchemaInfo();
}
SchemaInfo schemaInfo() { return schemaInfo; }
Query query(String sources, String restrict) {
Map<String, String> params = new HashMap<>();
if ( ! sources.isEmpty())
params.put("sources", sources);
if ( ! restrict.isEmpty())
params.put("restrict", restrict);
return new Query.Builder().setSchemaInfo(schemaInfo)
.setRequestMap(params)
.build();
}
void assertInput(TensorType expectedType, String sources, String restrict, String rankProfile, String feature) {
assertEquals(expectedType,
schemaInfo.newSession(query(sources, restrict)).rankProfileInput(feature, rankProfile).tensorType());
}
void assertInputConflict(TensorType expectedType, String sources, String restrict, String rankProfile, String feature) {
try {
assertInput(expectedType, sources, restrict, rankProfile, feature);
}
catch (IllegalArgumentException e) {
assertEquals("Conflicting input type declarations for '" + feature + "'",
e.getMessage().split(":")[0]);
}
}
static SchemaInfo createSchemaInfo() {
List<Schema> schemas = new ArrayList<>();
RankProfile.Builder common = new RankProfile.Builder("commonProfile")
.addInput("query(myTensor1)", InputType.fromSpec("tensor(a{},b{})"))
.addInput("query(myTensor2)", InputType.fromSpec("tensor(x[2],y[2])"))
.addInput("query(myTensor3)", InputType.fromSpec("tensor(x[2],y[2])"))
.addInput("query(myTensor4)", InputType.fromSpec("tensor<float>(x[5])"));
schemas.add(new Schema.Builder("a")
.add(common.build())
.add(new RankProfile.Builder("inconsistent")
.addInput("query(myTensor1)", InputType.fromSpec("tensor(a{},b{})"))
.build())
.add(new DocumentSummary.Builder("testSummary")
.add(new DocumentSummary.Field("field1", "string"))
.add(new DocumentSummary.Field("field2", "integer"))
.setDynamic(true)
.build())
.build());
schemas.add(new Schema.Builder("b")
.add(common.build())
.add(new RankProfile.Builder("inconsistent")
.addInput("query(myTensor1)", InputType.fromSpec("tensor(x[10])"))
.build())
.add(new RankProfile.Builder("bOnly")
.addInput("query(myTensor1)", InputType.fromSpec("tensor(a{},b{})"))
.build())
.build());
List<Cluster> clusters = new ArrayList<>();
clusters.add(new Cluster.Builder("ab").addSchema("a").addSchema("b").build());
clusters.add(new Cluster.Builder("a").addSchema("a").setStreaming(true).build());
return new SchemaInfo(schemas, clusters);
}
/** Creates the same schema info as createSchemaInfo from config objects. */
static SchemaInfo createSchemaInfoFromConfig() {
var rankProfileCommon = new SchemaInfoConfig.Schema.Rankprofile.Builder();
rankProfileCommon.name("commonProfile");
rankProfileCommon.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor1)").type("tensor(a{},b{})"));
rankProfileCommon.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor2)").type("tensor(x[2],y[2])"));
rankProfileCommon.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor3)").type("tensor(x[2],y[2])"));
rankProfileCommon.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor4)").type("tensor<float>(x[5])"));
var schemaInfoInfoConfig = new SchemaInfoConfig.Builder();
// ----- Schema A
var schemaA = new SchemaInfoConfig.Schema.Builder();
schemaA.name("a");
schemaA.rankprofile(rankProfileCommon);
var rankProfileInconsistentA = new SchemaInfoConfig.Schema.Rankprofile.Builder();
rankProfileInconsistentA.name("inconsistent");
rankProfileInconsistentA.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor1)").type("tensor(a{},b{})"));
schemaA.rankprofile(rankProfileInconsistentA);
var summaryClass = new SchemaInfoConfig.Schema.Summaryclass.Builder();
summaryClass.name("testSummary");
var field1 = new SchemaInfoConfig.Schema.Summaryclass.Fields.Builder();
field1.name("field1").type("string").dynamic(true);
summaryClass.fields(field1);
var field2 = new SchemaInfoConfig.Schema.Summaryclass.Fields.Builder();
field2.name("field2").type("integer");
summaryClass.fields(field2);
schemaA.summaryclass(summaryClass);
schemaInfoInfoConfig.schema(schemaA);
// ----- Schema B
var schemaB = new SchemaInfoConfig.Schema.Builder();
schemaB.name("b");
schemaB.rankprofile(rankProfileCommon);
var rankProfileInconsistentB = new SchemaInfoConfig.Schema.Rankprofile.Builder();
rankProfileInconsistentB.name("inconsistent");
rankProfileInconsistentB.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor1)").type("tensor(x[10])"));
schemaB.rankprofile(rankProfileInconsistentB);
var rankProfileBOnly = new SchemaInfoConfig.Schema.Rankprofile.Builder();
rankProfileBOnly.name("bOnly");
rankProfileBOnly.input(new SchemaInfoConfig.Schema.Rankprofile.Input.Builder().name("query(myTensor1)").type("tensor(a{},b{})"));
schemaB.rankprofile(rankProfileBOnly);
schemaInfoInfoConfig.schema(schemaB);
// ----- Info about clusters
var qrSearchersConfig = new QrSearchersConfig.Builder();
var clusterAB = new QrSearchersConfig.Searchcluster.Builder();
clusterAB.name("ab");
clusterAB.searchdef("a").searchdef("b");
qrSearchersConfig.searchcluster(clusterAB);
var clusterA = new QrSearchersConfig.Searchcluster.Builder();
clusterA.name("a");
clusterA.indexingmode(QrSearchersConfig.Searchcluster.Indexingmode.Enum.STREAMING);
clusterA.searchdef("a");
qrSearchersConfig.searchcluster(clusterA);
return new SchemaInfo(schemaInfoInfoConfig.build(), qrSearchersConfig.build());
}
}
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