/*
 * Licensed to Elasticsearch under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch 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.elasticsearch.search.suggest.completion;

import org.elasticsearch.common.text.Text;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.test.ESTestCase;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.lessThanOrEqualTo;

public class CompletionSuggestionTests extends ESTestCase {

    @AwaitsFix(bugUrl = "https://github.com/elastic/elasticsearch/issues/19896")
    public void testToReduce() throws Exception {
        List<Suggest.Suggestion<CompletionSuggestion.Entry>> shardSuggestions = new ArrayList<>();
        int nShards = randomIntBetween(1, 10);
        String name = randomAsciiOfLength(10);
        int size = randomIntBetween(3, 5);
        for (int i = 0; i < nShards; i++) {
            CompletionSuggestion suggestion = new CompletionSuggestion(name, size);
            suggestion.addTerm(new CompletionSuggestion.Entry(new Text(""), 0, 0));
            shardSuggestions.add(suggestion);
        }
        int totalResults = randomIntBetween(0, 5) * nShards;
        float maxScore = randomIntBetween(totalResults, totalResults*2);
        for (int i = 0; i < totalResults; i++) {
            Suggest.Suggestion<CompletionSuggestion.Entry> suggestion = randomFrom(shardSuggestions);
            suggestion.getEntries().get(0).addOption(new CompletionSuggestion.Entry.Option(i, new Text(""),
                maxScore - i, Collections.emptyMap()));
        }
        CompletionSuggestion reducedSuggestion = CompletionSuggestion.reduceTo(shardSuggestions);
        assertNotNull(reducedSuggestion);
        assertThat(reducedSuggestion.getOptions().size(), lessThanOrEqualTo(size));
        int count = 0;
        for (CompletionSuggestion.Entry.Option option : reducedSuggestion.getOptions()) {
            assertThat(option.getDoc().doc, equalTo(count));
            count++;
        }
    }
}

/*
 * Licensed to Elasticsearch under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch 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.elasticsearch.search.suggest.completion;

import org.elasticsearch.common.text.Text;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.test.ESTestCase;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import static org.hamcrest.Matchers.equalTo;
import static org.hamcrest.Matchers.lessThanOrEqualTo;

public class CompletionSuggestionTests extends ESTestCase {

    public void testToReduce() throws Exception {
        List<Suggest.Suggestion<CompletionSuggestion.Entry>> shardSuggestions = new ArrayList<>();
        int nShards = randomIntBetween(1, 10);
        String name = randomAsciiOfLength(10);
        int size = randomIntBetween(3, 5);
        for (int i = 0; i < nShards; i++) {
            CompletionSuggestion suggestion = new CompletionSuggestion(name, size);
            suggestion.addTerm(new CompletionSuggestion.Entry(new Text(""), 0, 0));
            shardSuggestions.add(suggestion);
        }
        int totalResults = randomIntBetween(0, 5) * nShards;
        float maxScore = randomIntBetween(totalResults, totalResults*2);
        for (int i = 0; i < totalResults; i++) {
            Suggest.Suggestion<CompletionSuggestion.Entry> suggestion = randomFrom(shardSuggestions);
            CompletionSuggestion.Entry entry = suggestion.getEntries().get(0);
            if (entry.getOptions().size() < size) {
                entry.addOption(new CompletionSuggestion.Entry.Option(i, new Text(""),
                    maxScore - i, Collections.emptyMap()));
            }
        }
        CompletionSuggestion reducedSuggestion = CompletionSuggestion.reduceTo(shardSuggestions);
        assertNotNull(reducedSuggestion);
        assertThat(reducedSuggestion.getOptions().size(), lessThanOrEqualTo(size));
        int count = 0;
        for (CompletionSuggestion.Entry.Option option : reducedSuggestion.getOptions()) {
            assertThat(option.getDoc().doc, equalTo(count));
            count++;
        }
    }
}

fix CompletionSuggestion test failed caused by shard is 1