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/*
 * SPDX-License-Identifier: Apache-2.0
 *
 * The OpenSearch Contributors require contributions made to
 * this file be licensed under the Apache-2.0 license or a
 * compatible open source license.
 */

/*
 * 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.
 */
/*
 * Modifications Copyright OpenSearch Contributors. See
 * GitHub history for details.
 */

package org.opensearch.search.suggest;

import org.apache.lucene.util.CharsRefBuilder;
import org.opensearch.OpenSearchException;
import org.opensearch.search.internal.SearchContext;
import org.opensearch.search.suggest.Suggest.Suggestion;
import org.opensearch.search.suggest.Suggest.Suggestion.Entry;
import org.opensearch.search.suggest.Suggest.Suggestion.Entry.Option;
import org.opensearch.search.suggest.SuggestionSearchContext.SuggestionContext;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * SuggestProcessor of a search request, used to collect suggestions
 *
 * @opensearch.internal
 */
public class SuggestProcessor {

    public void process(SearchContext context) {
        final SuggestionSearchContext suggest = context.suggest();
        if (suggest == null) {
            return;
        }
        try {
            CharsRefBuilder spare = new CharsRefBuilder();
            final List>> suggestions = new ArrayList<>(suggest.suggestions().size());

            for (Map.Entry entry : suggest.suggestions().entrySet()) {
                SuggestionSearchContext.SuggestionContext suggestion = entry.getValue();
                Suggester suggester = suggestion.getSuggester();
                Suggestion> result = suggester.execute(
                    entry.getKey(),
                    suggestion,
                    context.searcher(),
                    spare
                );
                if (result != null) {
                    assert entry.getKey().equals(result.name);
                    suggestions.add(result);
                }
            }
            context.queryResult().suggest(new Suggest(suggestions));
        } catch (IOException e) {
            throw new OpenSearchException("I/O exception during suggest phase", e);
        }
    }

}