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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.prelude.fastsearch;
import com.yahoo.search.config.RankProfile;
import com.yahoo.tensor.TensorType;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
* Representation of a document database realizing a schema in a content cluster.
*
* @author geirst
*/
public class DocumentDatabase {
// TODO: What about name conflicts when different search defs have the same rank profile/docsum?
public static final String MATCH_PROPERTY = "match";
public static final String SEARCH_DOC_TYPE_KEY = "documentdb.searchdoctype";
private final String name;
private final DocsumDefinitionSet docsumDefSet;
private final Map<String, RankProfile> rankProfiles;
public DocumentDatabase(DocumentdbInfoConfig.Documentdb documentDb) {
this(documentDb.name(), new DocsumDefinitionSet(documentDb), toRankProfiles(documentDb.rankprofile()));
}
public DocumentDatabase(String name, DocsumDefinitionSet docsumDefinitionSet, Collection<RankProfile> rankProfiles) {
this.name = name;
this.docsumDefSet = docsumDefinitionSet;
this.rankProfiles = Map.copyOf(rankProfiles.stream().collect(Collectors.toMap(RankProfile::name, p -> p)));
}
public String getName() {
return name;
}
public DocsumDefinitionSet getDocsumDefinitionSet() {
return docsumDefSet;
}
/** Returns an unmodifiable map of all the rank profiles in this indexed by rank profile name */
public Map<String, RankProfile> rankProfiles() { return rankProfiles; }
private static Collection<RankProfile> toRankProfiles(Collection<DocumentdbInfoConfig.Documentdb.Rankprofile> rankProfileConfigList) {
List<RankProfile> rankProfiles = new ArrayList<>();
for (var profileConfig : rankProfileConfigList) {
var builder = new RankProfile.Builder(profileConfig.name());
builder.setHasSummaryFeatures(profileConfig.hasSummaryFeatures());
builder.setHasRankFeatures(profileConfig.hasRankFeatures());
for (var inputConfig : profileConfig.input())
builder.addInput(inputConfig.name(), TensorType.fromSpec(inputConfig.type()));
rankProfiles.add(builder.build());
}
return rankProfiles;
}
}
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