/*
* 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.";
}
}