/** * ============LICENSE_START======================================================= * org.onap.aai * ================================================================================ * Copyright © 2017 AT&T Intellectual Property. All rights reserved. * Copyright © 2017 Amdocs * ================================================================================ * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============LICENSE_END========================================================= * * ECOMP is a trademark and service mark of AT&T Intellectual Property. */ package org.onap.aai.sa.searchdbabstraction.util; import com.fasterxml.jackson.core.JsonParseException; import com.fasterxml.jackson.databind.JsonMappingException; import com.fasterxml.jackson.databind.ObjectMapper; import org.onap.aai.sa.rest.DocumentFieldSchema; import org.onap.aai.sa.rest.DocumentSchema; import java.io.IOException; import java.util.List; import java.util.concurrent.atomic.AtomicBoolean; public class DocumentSchemaUtil { public static String generateDocumentMappings(String documentSchema) throws JsonParseException, JsonMappingException, IOException { // Unmarshal the json content into a document schema object. ObjectMapper mapper = new ObjectMapper(); DocumentSchema schema = mapper.readValue(documentSchema, DocumentSchema.class); return generateDocumentMappings(schema); } public static String generateDocumentMappings(DocumentSchema schema) { // Now, generate the Elastic Search mapping json and return it. StringBuilder sb = new StringBuilder(); sb.append("{"); sb.append("\"properties\": {"); generateFieldMappings(schema.getFields(), sb); sb.append("}"); sb.append("}"); return sb.toString(); } private static void generateFieldMappings(List fields, StringBuilder sb) { AtomicBoolean firstField = new AtomicBoolean(true); for (DocumentFieldSchema field : fields) { // If this isn't the first field in the list, prepend it with a ',' if (!firstField.compareAndSet(true, false)) { sb.append(", "); } // Now, append the translated field contents. generateFieldMapping(field, sb); } } private static void generateFieldMapping(DocumentFieldSchema fieldSchema, StringBuilder sb) { sb.append("\"").append(fieldSchema.getName()).append("\": {"); // The field type is mandatory. sb.append("\"type\": \"").append(fieldSchema.getDataType()).append("\""); // For date type fields we may optionally supply a format specifier. if (fieldSchema.getDataType().equals("date")) { if (fieldSchema.getFormat() != null) { sb.append(", \"format\": \"").append(fieldSchema.getFormat()).append("\""); } } // If the index field was specified, then append it. if (fieldSchema.getSearchable() != null) { sb.append(", \"index\": \"").append(fieldSchema.getSearchable() ? "analyzed" : "not_analyzed").append("\""); } // If a search analyzer was specified, then append it. if (fieldSchema.getSearchAnalyzer() != null) { sb.append(", \"search_analyzer\": \"").append(fieldSchema.getSearchAnalyzer()).append("\""); } // If an indexing analyzer was specified, then append it. if (fieldSchema.getIndexAnalyzer() != null) { sb.append(", \"analyzer\": \"").append(fieldSchema.getIndexAnalyzer()).append("\""); } if (fieldSchema.getDataType().equals("nested")) { sb.append(", \"properties\": {"); generateFieldMappings(fieldSchema.getSubFields(), sb); sb.append("}"); } sb.append("}"); } }