Package org.elasticsearch.search.suggest.completion

Examples of org.elasticsearch.search.suggest.completion.CompletionSuggestion$Entry$Option

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    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();

    Option inputOpt = obuilder.withLongName("dir").withRequired(true).withArgument(
        abuilder.withName("dir").withMinimum(1).withMaximum(1).create())
        .withDescription("The Lucene directory").withShortName("d").create();

    Option outputOpt = obuilder.withLongName("output").withRequired(true).withArgument(
        abuilder.withName("output").withMinimum(1).withMaximum(1).create()).withDescription("The output file")
        .withShortName("o").create();

    Option fieldOpt = obuilder.withLongName("field").withRequired(true).withArgument(
        abuilder.withName("field").withMinimum(1).withMaximum(1).create()).withDescription(
        "The field in the index").withShortName("f").create();

    Option idFieldOpt = obuilder.withLongName("idField").withRequired(false).withArgument(
        abuilder.withName("idField").withMinimum(1).withMaximum(1).create()).withDescription(
        "The field in the index containing the index.  If null, then the Lucene internal doc "
            + "id is used which is prone to error if the underlying index changes").create();

    Option dictOutOpt = obuilder.withLongName("dictOut").withRequired(true).withArgument(
        abuilder.withName("dictOut").withMinimum(1).withMaximum(1).create()).withDescription(
        "The output of the dictionary").withShortName("t").create();

    Option weightOpt = obuilder.withLongName("weight").withRequired(false).withArgument(
        abuilder.withName("weight").withMinimum(1).withMaximum(1).create()).withDescription(
        "The kind of weight to use. Currently TF or TFIDF").withShortName("w").create();

    Option delimiterOpt = obuilder.withLongName("delimiter").withRequired(false).withArgument(
        abuilder.withName("delimiter").withMinimum(1).withMaximum(1).create()).withDescription(
        "The delimiter for outputting the dictionary").withShortName("l").create();

    Option powerOpt = obuilder.withLongName("norm").withRequired(false).withArgument(
        abuilder.withName("norm").withMinimum(1).withMaximum(1).create()).withDescription(
        "The norm to use, expressed as either a double or \"INF\" if you want to use the Infinite norm.  "
            + "Must be greater or equal to 0.  The default is not to normalize").withShortName("n").create();

    Option maxOpt = obuilder.withLongName("max").withRequired(false).withArgument(
        abuilder.withName("max").withMinimum(1).withMaximum(1).create()).withDescription(
        "The maximum number of vectors to output.  If not specified, then it will loop over all docs")
        .withShortName("m").create();

    Option minDFOpt = obuilder.withLongName("minDF").withRequired(false).withArgument(
        abuilder.withName("minDF").withMinimum(1).withMaximum(1).create()).withDescription(
        "The minimum document frequency.  Default is 1").withShortName("md").create();

    Option maxDFPercentOpt = obuilder.withLongName("maxDFPercent").withRequired(false).withArgument(
        abuilder.withName("maxDFPercent").withMinimum(1).withMaximum(1).create()).withDescription(
        "The max percentage of docs for the DF.  Can be used to remove really high frequency terms."
            + "  Expressed as an integer between 0 and 100. Default is 99.").withShortName("x").create();

    Option maxPercentErrorDocsOpt = obuilder.withLongName("maxPercentErrorDocs").withRequired(false).withArgument(
        abuilder.withName("maxPercentErrorDocs").withMinimum(1).withMaximum(1).create()).withDescription(
        "The max percentage of docs that can have a null term vector. These are noise document and can occur if the " +
            "analyzer used strips out all terms in the target field. This percentage is expressed as a value between 0 and 1. " +
            "The default is 0.").withShortName("err").create();

    Option helpOpt = obuilder.withLongName("help").withDescription("Print out help").withShortName("h")
        .create();

    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(idFieldOpt).withOption(
        outputOpt).withOption(delimiterOpt).withOption(helpOpt).withOption(fieldOpt).withOption(maxOpt)
        .withOption(dictOutOpt).withOption(powerOpt).withOption(maxDFPercentOpt)
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  public static void main(String[] args) throws IOException, InvalidDatastoreException {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option pathOpt = obuilder.withLongName("model").withRequired(true).withArgument(
      abuilder.withName("model").withMinimum(1).withMaximum(1).create()).withDescription(
      "The path on HDFS as defined by the -source parameter").withShortName("m")
        .create();
   
    Option dirOpt = obuilder.withLongName("testDir").withRequired(true).withArgument(
      abuilder.withName("testDir").withMinimum(1).withMaximum(1).create()).withDescription(
      "The directory where test documents resides in").withShortName("d").create();
   
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option encodingOpt = obuilder.withLongName("encoding").withArgument(
      abuilder.withName("encoding").withMinimum(1).withMaximum(1).create()).withDescription(
      "The file encoding.  Defaults to UTF-8").withShortName("e").create();
   
    Option defaultCatOpt = obuilder.withLongName("defaultCat").withArgument(
      abuilder.withName("defaultCat").withMinimum(1).withMaximum(1).create()).withDescription(
      "The default category Default Value: unknown").withShortName("default").create();
   
    Option gramSizeOpt = obuilder.withLongName("gramSize").withRequired(false).withArgument(
      abuilder.withName("gramSize").withMinimum(1).withMaximum(1).create()).withDescription(
      "Size of the n-gram. Default Value: 1").withShortName("ng").create();
   
    Option alphaOpt = obuilder.withLongName("alpha").withRequired(false).withArgument(
      abuilder.withName("a").withMinimum(1).withMaximum(1).create()).withDescription(
      "Smoothing parameter Default Value: 1.0").withShortName("a").create();
   
    Option verboseOutputOpt = obuilder.withLongName("verbose").withRequired(false).withDescription(
      "Output which values were correctly and incorrectly classified").withShortName("v").create();
   
    Option typeOpt = obuilder.withLongName("classifierType").withRequired(false).withArgument(
      abuilder.withName("classifierType").withMinimum(1).withMaximum(1).create()).withDescription(
      "Type of classifier: bayes|cbayes. Default Value: bayes").withShortName("type").create();
   
    Option dataSourceOpt = obuilder.withLongName("dataSource").withRequired(false).withArgument(
      abuilder.withName("dataSource").withMinimum(1).withMaximum(1).create()).withDescription(
      "Location of model: hdfs").withShortName("source").create();
   
    Option methodOpt = obuilder.withLongName("method").withRequired(false).withArgument(
      abuilder.withName("method").withMinimum(1).withMaximum(1).create()).withDescription(
      "Method of Classification: sequential|mapreduce. Default Value: mapreduce").withShortName("method")
        .create();
   
    Option confusionMatrixOpt = obuilder.withLongName("confusionMatrix").withRequired(false).withArgument(
        abuilder.withName("confusionMatrix").withMinimum(1).withMaximum(1).create()).withDescription(
        "Export ConfusionMatrix as SequenceFile").withShortName("cm").create();
     
    Group group = gbuilder.withName("Options").withOption(defaultCatOpt).withOption(dirOpt).withOption(
      encodingOpt).withOption(gramSizeOpt).withOption(pathOpt).withOption(typeOpt).withOption(dataSourceOpt)
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  public static void main(String[] args) throws Exception {
    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Option inputDirOpt = DefaultOptionCreator.inputOption().create();
   
    Option outputOpt = DefaultOptionCreator.outputOption().create();
   
    Option gramSizeOpt = obuilder.withLongName("gramSize").withRequired(false).withArgument(
      abuilder.withName("gramSize").withMinimum(1).withMaximum(1).create()).withDescription(
      "Size of the n-gram. Default Value: 1 ").withShortName("ng").create();
   
    Option minDfOpt = obuilder.withLongName("minDf").withRequired(false).withArgument(
        abuilder.withName("minDf").withMinimum(1).withMaximum(1).create()).withDescription(
        "Minimum Term Document Frequency: 1 ").withShortName("mf").create();
   
    Option minSupportOpt = obuilder.withLongName("minSupport").withRequired(false).withArgument(
        abuilder.withName("minSupport").withMinimum(1).withMaximum(1).create()).withDescription(
        "Minimum Support (Term Frequency): 1 ").withShortName("ms").create();
   
    Option alphaOpt = obuilder.withLongName("alpha").withRequired(false).withArgument(
      abuilder.withName("a").withMinimum(1).withMaximum(1).create()).withDescription(
      "Smoothing parameter Default Value: 1.0").withShortName("a").create();
   
    Option typeOpt = obuilder.withLongName("classifierType").withRequired(false).withArgument(
      abuilder.withName("classifierType").withMinimum(1).withMaximum(1).create()).withDescription(
      "Type of classifier: bayes|cbayes. Default: bayes").withShortName("type").create();
   
    Option dataSourceOpt = obuilder.withLongName("dataSource").withRequired(false).withArgument(
      abuilder.withName("dataSource").withMinimum(1).withMaximum(1).create()).withDescription(
      "Location of model: hdfs. Default Value: hdfs").withShortName("source").create();
   
    Option skipCleanupOpt = obuilder.withLongName("skipCleanup").withRequired(false).withDescription(
        "Skip cleanup of feature extraction output").withShortName("sc").create();
   
    Group group = gbuilder.withName("Options").withOption(gramSizeOpt).withOption(helpOpt).withOption(
      inputDirOpt).withOption(outputOpt).withOption(typeOpt).withOption(dataSourceOpt).withOption(alphaOpt)
        .withOption(minDfOpt).withOption(minSupportOpt).withOption(skipCleanupOpt).create();
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    DefaultOptionBuilder obuilder = new DefaultOptionBuilder();
    ArgumentBuilder abuilder = new ArgumentBuilder();
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option pathOpt = obuilder.withLongName("path").withRequired(true).withArgument(
      abuilder.withName("path").withMinimum(1).withMaximum(1).create()).withDescription(
      "The local file system path").withShortName("m").create();
   
    Option classifyOpt = obuilder.withLongName("classify").withRequired(true).withArgument(
      abuilder.withName("classify").withMinimum(1).withMaximum(1).create()).withDescription(
      "The doc to classify").withShortName("").create();
   
    Option encodingOpt = obuilder.withLongName("encoding").withRequired(true).withArgument(
      abuilder.withName("encoding").withMinimum(1).withMaximum(1).create()).withDescription(
      "The file encoding.  Default: UTF-8").withShortName("e").create();
   
    Option analyzerOpt = obuilder.withLongName("analyzer").withRequired(true).withArgument(
      abuilder.withName("analyzer").withMinimum(1).withMaximum(1).create()).withDescription(
      "The Analyzer to use").withShortName("a").create();
   
    Option defaultCatOpt = obuilder.withLongName("defaultCat").withRequired(true).withArgument(
      abuilder.withName("defaultCat").withMinimum(1).withMaximum(1).create()).withDescription(
      "The default category").withShortName("d").create();
   
    Option gramSizeOpt = obuilder.withLongName("gramSize").withRequired(true).withArgument(
      abuilder.withName("gramSize").withMinimum(1).withMaximum(1).create()).withDescription(
      "Size of the n-gram").withShortName("ng").create();
   
    Option typeOpt = obuilder.withLongName("classifierType").withRequired(true).withArgument(
      abuilder.withName("classifierType").withMinimum(1).withMaximum(1).create()).withDescription(
      "Type of classifier").withShortName("type").create();
   
    Option dataSourceOpt = obuilder.withLongName("dataSource").withRequired(true).withArgument(
      abuilder.withName("dataSource").withMinimum(1).withMaximum(1).create()).withDescription(
      "Location of model: hdfs").withShortName("source").create();
   
    Group options = gbuilder.withName("Options").withOption(pathOpt).withOption(classifyOpt).withOption(
      encodingOpt).withOption(analyzerOpt).withOption(defaultCatOpt).withOption(gramSizeOpt).withOption(
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   *           any exception thrown at job execution.
   * */
  public static void execute(String[] args, BayesJob job) throws IOException {
    GroupBuilder gbuilder = new GroupBuilder();
   
    Option inputOpt = DefaultOptionCreator.inputOption().create();
    Option outputOpt = DefaultOptionCreator.outputOption().create();
    Option helpOpt = DefaultOptionCreator.helpOption();
   
    Group group = gbuilder.withName("Options").withOption(inputOpt).withOption(outputOpt).withOption(helpOpt)
        .create();
   
    try {
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                    for (TestMethod testMethod : inputTestData.getTestMethod()) {
                        List<TestRecord> originalTestRecords = testMethod.getTestRecord();
                        for (TestRecord originalTestRecord : originalTestRecords) {
                            if (originalTestRecord.getId().equals(testRecord.get(RECORD_POSITION))) {
                                OutputData outputData = new OutputData();
                                Entry outputEntry = new Entry();
                                outputEntry.setKey(ACTUAL_RESULT);
                                outputEntry.setValue(testRecord.get(ACTUAL_RESULT).toString());
                                outputData.getEntry().add(outputEntry);
                                originalTestRecord.setOutputData(outputData);
                                outputDataAdded = true;
                                break;
                            }
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                    for (TestMethod testMethod : inputTestData.getTestMethod()) {
                        List<TestRecord> originalTestRecords = testMethod.getTestRecord();
                        for (TestRecord originalTestRecord : originalTestRecords) {
                            if (originalTestRecord.getId().equals(testRecord.get(RECORD_POSITION))) {
                                OutputData outputData = new OutputData();
                                Entry outputEntry = new Entry();
                                outputEntry.setKey(ACTUAL_RESULT);
                                outputEntry.setValue(testRecord.get(ACTUAL_RESULT).toString());
                                Entry durationEntry = new Entry();
                                durationEntry.setKey(DURATION);
                                durationEntry.setValue(testRecord.get(DURATION).toString());
                                outputData.getEntry().add(outputEntry);
                                outputData.getEntry().add(durationEntry);
                                if(testRecord.get(TEST_STATUS) != null){
                                    Entry statusEntry = new Entry();
                                    statusEntry.setKey(TEST_STATUS);
                                    statusEntry.setValue(testRecord.get(TEST_STATUS).toString());
                                    outputData.getEntry().add(statusEntry);
                                }
                               
                               
                                originalTestRecord.setOutputData(outputData);
                                outputDataAdded = true;
                                break;
                            }
                        }
                        if (outputDataAdded) {
                            break;
                        }
                    }
                }else{
                    //Method did not return any data. So only write the duration as output
                    for (TestMethod testMethod : inputTestData.getTestMethod()) {
                        List<TestRecord> originalTestRecords = testMethod.getTestRecord();
                        for (TestRecord originalTestRecord : originalTestRecords) {
                            if (originalTestRecord.getId().equals(testRecord.get(RECORD_POSITION))) {
                                OutputData outputData = new OutputData();
                                Entry durationEntry = new Entry();
                                durationEntry.setKey(DURATION);
                                durationEntry.setValue(testRecord.get(DURATION).toString());
                                outputData.getEntry().add(durationEntry);
                                originalTestRecord.setOutputData(outputData);
                                outputDataAdded = true;
                                break;
                            }
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    .text("m")
    .field("suggest");

  //when
  SuggestResponse suggestResponse = elasticsearchTemplate.suggest(completionSuggestionFuzzyBuilder, CompletionEntity.class);
  CompletionSuggestion completionSuggestion = suggestResponse.getSuggest().getSuggestion("test-suggest");
  List<CompletionSuggestion.Entry.Option> options = completionSuggestion.getEntries().get(0).getOptions();

  //then
  assertThat(options.size(), is(2));
    assertThat(options.get(0).getText().string(), isOneOf("Marchand","Mohsin Husen"));
    }
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    .text("m")
    .field("suggest");

  //when
  SuggestResponse suggestResponse = elasticsearchTemplate.suggest(completionSuggestionFuzzyBuilder, CompletionEntity.class);
  CompletionSuggestion completionSuggestion = suggestResponse.getSuggest().getSuggestion("test-suggest");
  List<CompletionSuggestion.Entry.Option> options = completionSuggestion.getEntries().get(0).getOptions();

  //then
  assertThat(options.size(), is(2));
  assertThat(options.get(0).getText().string(), isOneOf("Marchand","Mohsin Husen"));
    }
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            switch (type) {
            case TermSuggestion.TYPE:
                suggestion = new TermSuggestion();
                break;
            case CompletionSuggestion.TYPE:
                suggestion = new CompletionSuggestion();
                break;
            case PhraseSuggestion.TYPE:
                suggestion = new PhraseSuggestion();
                break;
            default:
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