/*
 * 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.common.requests;

import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.Uuid;
import org.apache.kafka.common.message.LeaderAndIsrResponseData;
import org.apache.kafka.common.message.LeaderAndIsrResponseData.LeaderAndIsrTopicError;
import org.apache.kafka.common.message.LeaderAndIsrResponseData.LeaderAndIsrPartitionError;
import org.apache.kafka.common.protocol.ApiKeys;
import org.apache.kafka.common.protocol.ByteBufferAccessor;
import org.apache.kafka.common.protocol.Errors;
import org.apache.kafka.common.utils.FlattenedIterator;

import java.nio.ByteBuffer;
import java.util.Collections;
import java.util.List;
import java.util.HashMap;
import java.util.Map;

public class LeaderAndIsrResponse extends AbstractResponse {

    /**
     * Possible error code:
     *
     * STALE_CONTROLLER_EPOCH (11)
     * STALE_BROKER_EPOCH (77)
     */
    private final LeaderAndIsrResponseData data;
    private short version;

    public LeaderAndIsrResponse(LeaderAndIsrResponseData data, short version) {
        super(ApiKeys.LEADER_AND_ISR);
        this.data = data;
        this.version = version;
    }

    public List<LeaderAndIsrTopicError> topics() {
        return this.data.topics();
    }

    public Iterable<LeaderAndIsrPartitionError> partitions() {
        if (version < 5) {
            return data.partitionErrors();
        }
        return () -> new FlattenedIterator<>(data.topics().iterator(),
            topic -> topic.partitionErrors().iterator());
    }

    public Errors error() {
        return Errors.forCode(data.errorCode());
    }

    @Override
    public Map<Errors, Integer> errorCounts() {
        Errors error = error();
        if (error != Errors.NONE) {
            // Minor optimization since the top-level error applies to all partitions
            if (version < 5) 
                return Collections.singletonMap(error, data.partitionErrors().size() + 1);
            return Collections.singletonMap(error, 
                    data.topics().stream().mapToInt(t -> t.partitionErrors().size()).sum() + 1);
        }
        Map<Errors, Integer> errors;
        if (version < 5)
            errors = errorCounts(data.partitionErrors().stream().map(l -> Errors.forCode(l.errorCode())));
        else
            errors = errorCounts(data.topics().stream().flatMap(t -> t.partitionErrors().stream()).map(l ->
                Errors.forCode(l.errorCode())));
        updateErrorCounts(errors, Errors.NONE);
        return errors;
    }

    public Map<TopicPartition, Errors> partitionErrors(Map<Uuid, String> topicNames) {
        Map<TopicPartition, Errors> errors = new HashMap<>();
        if (version < 5) {
            data.partitionErrors().forEach(partition ->
                    errors.put(new TopicPartition(partition.topicName(), partition.partitionIndex()),
                            Errors.forCode(partition.errorCode())));
        } else {
            for (LeaderAndIsrTopicError topic : data.topics()) {
                String topicName = topicNames.get(topic.topicId());
                if (topicName != null) {
                    topic.partitionErrors().forEach(partition ->
                            errors.put(new TopicPartition(topicName, partition.partitionIndex()),
                                    Errors.forCode(partition.errorCode())));
                }
            }
        }
        return errors;
    }

    @Override
    public int throttleTimeMs() {
        return DEFAULT_THROTTLE_TIME;
    }

    public static LeaderAndIsrResponse parse(ByteBuffer buffer, short version) {
        return new LeaderAndIsrResponse(new LeaderAndIsrResponseData(new ByteBufferAccessor(buffer), version), version);
    }

    @Override
    public LeaderAndIsrResponseData data() {
        return data;
    }

    @Override
    public String toString() {
        return data.toString();
    }

}

@@ -1076,100 +1076,8 @@
 or;%0A
-import org.apache.kafka.common.message.LeaderAndIsrResponseData.LeaderAndIsrPartitionError;%0A
 impo
@@ -1232,64 +1232,8 @@
 ors;
-%0Aimport org.apache.kafka.common.utils.FlattenedIterator;
 %0A%0Aim
@@ -1897,287 +1897,8 @@
  %7D%0A%0A
-    public Iterable%3CLeaderAndIsrPartitionError%3E partitions() %7B%0A        if (version %3C 5) %7B%0A            return data.partitionErrors();%0A        %7D%0A        return () -%3E new FlattenedIterator%3C%3E(data.topics().iterator(),%0A            topic -%3E topic.partitionErrors().iterator());%0A    %7D%0A%0A
     

Remove unused LeaderAndIsrResponse.partitions() since it has been replaced with partitionErrors() (#10127)