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 * 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.index.mapper.core;

import org.apache.lucene.analysis.CannedTokenStream;
import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenStream;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.index.mapper.DocumentMapper;
import org.elasticsearch.index.mapper.DocumentMapperParser;
import org.elasticsearch.test.ElasticsearchSingleNodeTest;
import org.junit.Test;

import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;

import static org.elasticsearch.index.mapper.DocumentMapper.MergeFlags.mergeFlags;
import static org.hamcrest.Matchers.equalTo;

/**
 * Test for {@link TokenCountFieldMapper}.
 */
public class TokenCountFieldMapperTests extends ElasticsearchSingleNodeTest {
    @Test
    public void testMerge() throws IOException {
        String stage1Mapping = XContentFactory.jsonBuilder().startObject()
                .startObject("person")
                    .startObject("properties")
                        .startObject("tc")
                            .field("type", "token_count")
                            .field("analyzer", "keyword")
                        .endObject()
                    .endObject()
                .endObject().endObject().string();
        DocumentMapperParser parser = createIndex("test").mapperService().documentMapperParser();
        DocumentMapper stage1 = parser.parse(stage1Mapping);

        String stage2Mapping = XContentFactory.jsonBuilder().startObject()
                .startObject("person")
                    .startObject("properties")
                        .startObject("tc")
                            .field("type", "token_count")
                            .field("analyzer", "standard")
                        .endObject()
                    .endObject()
                .endObject().endObject().string();
        DocumentMapper stage2 = parser.parse(stage2Mapping);

        DocumentMapper.MergeResult mergeResult = stage1.merge(stage2, mergeFlags().simulate(true));
        assertThat(mergeResult.hasConflicts(), equalTo(false));
        // Just simulated so merge hasn't happened yet
        assertThat(((TokenCountFieldMapper) stage1.mappers().smartName("tc").mapper()).analyzer(), equalTo("keyword"));

        mergeResult = stage1.merge(stage2, mergeFlags().simulate(false));
        assertThat(mergeResult.hasConflicts(), equalTo(false));
        // Just simulated so merge hasn't happened yet
        assertThat(((TokenCountFieldMapper) stage1.mappers().smartName("tc").mapper()).analyzer(), equalTo("standard"));
    }

    @Test
    public void testCountPositions() throws IOException {
        // We're looking to make sure that we:
        Token t1 = new Token();      // Don't count tokens without an increment
        t1.setPositionIncrement(0);
        Token t2 = new Token();
        t2.setPositionIncrement(1);  // Count normal tokens with one increment
        Token t3 = new Token();
        t2.setPositionIncrement(2);  // Count funny tokens with more than one increment
        int finalTokenIncrement = 4; // Count the final token increment on the rare token streams that have them
        Token[] tokens = new Token[] {t1, t2, t3};
        Collections.shuffle(Arrays.asList(tokens), getRandom());
        TokenStream tokenStream = new CannedTokenStream(finalTokenIncrement, 0, tokens);
        assertThat(TokenCountFieldMapper.countPositions(tokenStream), equalTo(7));
    }
}
