/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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. */ package org.apache.nifi.processors.hadoop.inotify; import org.apache.hadoop.hdfs.inotify.Event; import org.apache.nifi.components.ValidationContext; import org.apache.nifi.components.ValidationResult; import org.apache.nifi.components.Validator; import java.util.ArrayList; import java.util.List; class EventTypeValidator implements Validator { @Override public ValidationResult validate(String subject, String input, ValidationContext context) { final String explanation = isValidEventType(input); return new ValidationResult.Builder() .subject(subject) .input(input) .valid(explanation == null) .explanation(explanation) .build(); } private String isValidEventType(String input) { if (input != null && !"".equals(input.trim())) { final String[] events = input.split(","); final List<String> invalid = new ArrayList<>(); for (String event : events) { try { Event.EventType.valueOf(event.trim().toUpperCase()); } catch (IllegalArgumentException e) { invalid.add(event.trim()); } } return invalid.isEmpty() ? null : "The following are not valid event types: " + invalid; } return "Empty event types are not allowed."; } }