add CamelCase support to Suggester where missing
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@ -49,7 +49,6 @@ import org.elasticsearch.index.analysis.NamedAnalyzer;
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import org.elasticsearch.index.analysis.ShingleTokenFilterFactory;
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import org.elasticsearch.index.analysis.TokenFilterFactory;
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import org.elasticsearch.index.mapper.MapperService;
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import org.elasticsearch.search.internal.SearchContext;
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import org.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
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public final class SuggestUtils {
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@ -189,7 +188,7 @@ public final class SuggestUtils {
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public static StringDistance resolveDistance(String distanceVal) {
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if ("internal".equals(distanceVal)) {
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return DirectSpellChecker.INTERNAL_LEVENSHTEIN;
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} else if ("damerau_levenshtein".equals(distanceVal)) {
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} else if ("damerau_levenshtein".equals(distanceVal) || "damerauLevenshtein".equals(distanceVal)) {
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return new LuceneLevenshteinDistance();
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} else if ("levenstein".equals(distanceVal)) {
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return new LevensteinDistance();
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@ -212,12 +211,12 @@ public final class SuggestUtils {
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suggestion.sort(SuggestUtils.resolveSort(parser.text()));
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} else if ("string_distance".equals(fieldName) || "stringDistance".equals(fieldName)) {
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suggestion.stringDistance(SuggestUtils.resolveDistance(parser.text()));
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} else if ("max_edits".equals(fieldName) || "maxEdits".equals(fieldName) || "fuzziness".equals(fieldName)) {
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} else if ("max_edits".equals(fieldName) || "maxEdits".equals(fieldName)) {
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suggestion.maxEdits(parser.intValue());
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if (suggestion.maxEdits() < 1 || suggestion.maxEdits() > LevenshteinAutomata.MAXIMUM_SUPPORTED_DISTANCE) {
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throw new ElasticSearchIllegalArgumentException("Illegal max_edits value " + suggestion.maxEdits());
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}
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} else if ("max_inspections".equals(fieldName)) {
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} else if ("max_inspections".equals(fieldName) || "maxInspections".equals(fieldName)) {
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suggestion.maxInspections(parser.intValue());
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} else if ("max_term_freq".equals(fieldName) || "maxTermFreq".equals(fieldName)) {
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suggestion.maxTermFreq(parser.floatValue());
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@ -18,23 +18,6 @@
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*/
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package org.elasticsearch.search.suggest.phrase;
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/*
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. ElasticSearch licenses this
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* file to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import java.io.IOException;
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import org.apache.lucene.analysis.Analyzer;
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@ -64,7 +47,7 @@ public final class PhraseSuggestParser implements SuggestContextParser {
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fieldName = parser.currentName();
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} else if (token.isValue()) {
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if (!SuggestUtils.parseSuggestContext(parser, mapperService, fieldName, suggestion)) {
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if ("real_word_error_likelihood".equals(fieldName)) {
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if ("real_word_error_likelihood".equals(fieldName) || "realWorldErrorLikelihood".equals(fieldName)) {
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suggestion.setRealWordErrorLikelihood(parser.floatValue());
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if (suggestion.realworldErrorLikelyhood() <= 0.0) {
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throw new ElasticSearchIllegalArgumentException("real_word_error_likelihood must be > 0.0");
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@ -76,25 +59,25 @@ public final class PhraseSuggestParser implements SuggestContextParser {
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}
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} else if ("separator".equals(fieldName)) {
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suggestion.setSeparator(new BytesRef(parser.text()));
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} else if ("max_errors".equals(fieldName)) {
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} else if ("max_errors".equals(fieldName) || "maxErrors".equals(fieldName)) {
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suggestion.setMaxErrors(parser.floatValue());
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if (suggestion.maxErrors() <= 0.0) {
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throw new ElasticSearchIllegalArgumentException("max_error must be > 0.0");
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}
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} else if ("gram_size".equals(fieldName)) {
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} else if ("gram_size".equals(fieldName) || "gramSize".equals(fieldName)) {
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suggestion.setGramSize(parser.intValue());
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if (suggestion.gramSize() < 1) {
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throw new ElasticSearchIllegalArgumentException("gram_size must be >= 1");
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}
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gramSizeSet = true;
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} else if ("force_unigrams".equals(fieldName)) {
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} else if ("force_unigrams".equals(fieldName) || "forceUnigrams".equals(fieldName)) {
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suggestion.setRequireUnigram(parser.booleanValue());
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} else {
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throw new ElasticSearchIllegalArgumentException("suggester[phrase] doesn't support field [" + fieldName + "]");
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}
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}
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} else if (token == Token.START_ARRAY) {
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if ("direct_generator".equals(fieldName)) {
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if ("direct_generator".equals(fieldName) || "directGenerator".equals(fieldName)) {
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// for now we only have a single type of generators
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while ((token = parser.nextToken()) == Token.START_OBJECT) {
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PhraseSuggestionContext.DirectCandidateGenerator generator = new PhraseSuggestionContext.DirectCandidateGenerator();
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@ -167,17 +150,17 @@ public final class PhraseSuggestParser implements SuggestContextParser {
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fieldName = parser.currentName();
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}
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if (token.isValue()) {
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if ("trigram_lambda".equals(fieldName)) {
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if ("trigram_lambda".equals(fieldName) || "trigramLambda".equals(fieldName)) {
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lambdas[0] = parser.doubleValue();
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if (lambdas[0] < 0) {
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throw new ElasticSearchIllegalArgumentException("trigram_lambda must be positive");
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}
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} else if ("bigram_lambda".equals(fieldName)) {
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} else if ("bigram_lambda".equals(fieldName) || "bigramLambda".equals(fieldName)) {
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lambdas[1] = parser.doubleValue();
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if (lambdas[1] < 0) {
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throw new ElasticSearchIllegalArgumentException("bigram_lambda must be positive");
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}
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} else if ("unigram_lambda".equals(fieldName)) {
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} else if ("unigram_lambda".equals(fieldName) || "unigramLambda".equals(fieldName)) {
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lambdas[2] = parser.doubleValue();
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if (lambdas[2] < 0) {
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throw new ElasticSearchIllegalArgumentException("unigram_lambda must be positive");
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@ -224,7 +207,7 @@ public final class PhraseSuggestParser implements SuggestContextParser {
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}
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});
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} else if ("stupid_backoff".equals(fieldName)) {
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} else if ("stupid_backoff".equals(fieldName) || "stupidBackoff".equals(fieldName)) {
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ensureNoSmoothing(suggestion);
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double theDiscount = 0.4;
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while ((token = parser.nextToken()) != Token.END_OBJECT) {
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