content: /*
   * 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.kafka.clients.reporter;
  
  import org.apache.kafka.common.MetricName;
  import org.apache.kafka.common.metrics.KafkaMetric;
  
  import java.util.regex.Pattern;
  
  public class RegexMetricPredicate {
      private Pattern pattern = null;
  
      public RegexMetricPredicate(String regex)
      {
          this.pattern = Pattern.compile(regex);
      }
  
      public boolean matches(MetricName name, KafkaMetric metric) {
          Boolean excluded = pattern.matcher(name.name()).matches();
          // Collect client aggregated metrics only.
          // So we need to exclude topic-level or broker-level metrics, including:
          // 1. exclude metrics whose `tags` contain "topic" and "node-id".
          // 2. exclude metrics whose MetricName format is '{topic}-{partition}.xxx',
          //    like test-1.records-lag-avg.
          Boolean topicLevelMetrics = name.tags().containsKey("topic")
              || name.tags().containsKey("node-id")
              || name.name().contains(".");
          return !excluded && !topicLevelMetrics;
      }
  }
  