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/**
* ============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.openecomp.sa.searchdbabstraction.util;
import com.fasterxml.jackson.core.JsonParseException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.openecomp.sa.rest.DocumentFieldSchema;
import org.openecomp.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<DocumentFieldSchema> 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("}");
}
}
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