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Neo4j Graph Data Science :: Pipelines Procedure Facade
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.gds.procedures.pipelines;
import org.neo4j.gds.NodeLabel;
import org.neo4j.gds.RelationshipType;
import org.neo4j.gds.annotation.Configuration;
import org.neo4j.gds.api.GraphStore;
import org.neo4j.gds.config.MutateNodePropertyConfig;
import org.neo4j.gds.core.CypherMapWrapper;
import java.util.Collection;
import static org.neo4j.gds.utils.StringFormatting.formatWithLocale;
@Configuration
public interface NodeClassificationPredictPipelineMutateConfig extends
NodeClassificationPredictPipelineMutateOrWriteConfig,
MutateNodePropertyConfig {
static NodeClassificationPredictPipelineMutateConfig of(String username, CypherMapWrapper config) {
return new NodeClassificationPredictPipelineMutateConfigImpl(username, config);
}
@Configuration.Check
default void validateMutatePropertiesDiffer() {
predictedProbabilityProperty().ifPresent(predictedProbabilityProperty -> {
if (mutateProperty().equals(predictedProbabilityProperty)) {
throw new IllegalArgumentException(
formatWithLocale(
"Configuration parameters `%s` and `%s` must be different (both were `%s`)",
"mutateProperty",
"predictedProbabilityProperty",
predictedProbabilityProperty
)
);
}
});
}
@Configuration.GraphStoreValidationCheck
default void validatePredictedProbabilityPropertyDoesNotExist(
GraphStore graphStore,
Collection selectedLabels,
Collection selectedRelationshipTypes
) {
predictedProbabilityProperty().ifPresent(predictedProbabilityProperty -> {
if (graphStore.hasNodeProperty(selectedLabels, predictedProbabilityProperty)) {
throw new IllegalArgumentException(formatWithLocale(
"Node property `%s` already exists in the in-memory graph.",
predictedProbabilityProperty
));
}
});
}
}
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