Examples with Text org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text used on opensource projects

Example 26 with Text

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text in project graylog2-server by Graylog2.

the class QuerySuggestionsES7 method suggest.

@Override
public SuggestionResponse suggest(SuggestionRequest req) {
    final Set<String> affectedIndices = indexLookup.indexNamesForStreamsInTimeRange(req.streams(), req.timerange());
    final TermSuggestionBuilder suggestionBuilder = SuggestBuilders.termSuggestion(req.field()).text(req.input()).size(req.size());
    final SearchSourceBuilder search = new SearchSourceBuilder().query(QueryBuilders.prefixQuery(req.field(), req.input())).size(0).aggregation(AggregationBuilders.terms("fieldvalues").field(req.field()).size(req.size())).suggest(new SuggestBuilder().addSuggestion("corrections", suggestionBuilder));
    try {
        final SearchResponse result = client.singleSearch(new SearchRequest(affectedIndices.toArray(new String[] {})).source(search), "Failed to execute aggregation");
        final ParsedStringTerms fieldValues = result.getAggregations().get("fieldvalues");
        final List<SuggestionEntry> entries = fieldValues.getBuckets().stream().map(b -> new SuggestionEntry(b.getKeyAsString(), b.getDocCount())).collect(Collectors.toList());
        if (!entries.isEmpty()) {
            return SuggestionResponse.forSuggestions(req.field(), req.input(), entries, fieldValues.getSumOfOtherDocCounts());
        } else {
            TermSuggestion suggestion = result.getSuggest().getSuggestion("corrections");
            final List<SuggestionEntry> corrections = suggestion.getEntries().stream().flatMap(e -> e.getOptions().stream()).map(o -> new SuggestionEntry(o.getText().string(), o.getFreq())).collect(Collectors.toList());
            return SuggestionResponse.forSuggestions(req.field(), req.input(), corrections, null);
        }
    } catch (org.graylog.shaded.elasticsearch7.org.elasticsearch.ElasticsearchException exception) {
        final SuggestionError err = tryResponseException(exception).orElseGet(() -> parseException(exception));
        return SuggestionResponse.forError(req.field(), req.input(), err);
    }
}

Example 27 with Text

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text in project graylog2-server by Graylog2.

the class ElasticsearchFilterDeprecationWarningsInterceptorTest method testInterceptorMultipleHeaderFilteredWarningAndMultipleTriggers.

@Test
public void testInterceptorMultipleHeaderFilteredWarningAndMultipleTriggers() throws IOException, HttpException {
    ElasticsearchFilterDeprecationWarningsInterceptor interceptor = new ElasticsearchFilterDeprecationWarningsInterceptor();
    HttpResponse response = new BasicHttpResponse(new BasicStatusLine(new ProtocolVersion("HTTP", 0, 0), 0, null));
    response.addHeader("Test", "This header should not trigger the interceptor.");
    response.addHeader("Warning", "This warning should not trigger the interceptor.");
    response.addHeader("Warning", "This text contains the trigger: but in a future major version, direct access to system indices and their aliases will not be allowed - and should be filtered out");
    response.addHeader("Warning", "This text contains the trigger: setting was deprecated in Elasticsearch - and should be filtered out");
    assertThat(response.getAllHeaders()).as("Number of Headers should be 4 before start.").hasSize(4);
    interceptor.process(response, null);
    assertThat(response.getAllHeaders()).as("Number of Headers should be 2 less after running the interceptor.").hasSize(2);
}

Example 28 with Text

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text in project graylog2-server by Graylog2.

the class ElasticsearchFilterDeprecationWarningsInterceptorTest method testInterceptorMultipleHeaderFilteredWarning.

@Test
public void testInterceptorMultipleHeaderFilteredWarning() throws IOException, HttpException {
    ElasticsearchFilterDeprecationWarningsInterceptor interceptor = new ElasticsearchFilterDeprecationWarningsInterceptor();
    HttpResponse response = new BasicHttpResponse(new BasicStatusLine(new ProtocolVersion("HTTP", 0, 0), 0, null));
    response.addHeader("Test", "This header should not trigger the interceptor.");
    response.addHeader("Warning", "This warning should not trigger the interceptor.");
    response.addHeader("Warning", "This text contains the trigger: setting was deprecated in Elasticsearch - and should be filtered out");
    assertThat(response.getAllHeaders()).as("Number of Headers should be 3 before start.").hasSize(3);
    interceptor.process(response, null);
    assertThat(response.getAllHeaders()).as("Number of Headers should be 1 less after running the interceptor.").hasSize(2);
}

Example 29 with Text

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text in project elasticsearch by elastic.

the class HighlightField method writeTo.

@Override
public void writeTo(StreamOutput out) throws IOException {
    out.writeString(name);
    if (fragments == null) {
        out.writeBoolean(false);
    } else {
        out.writeBoolean(true);
        out.writeVInt(fragments.length);
        for (Text fragment : fragments) {
            out.writeText(fragment);
        }
    }
}

Example 30 with Text

use of org.graylog.shaded.elasticsearch7.org.elasticsearch.common.text.Text in project elasticsearch by elastic.

the class PhraseSuggester method innerExecute.

/*
     * More Ideas:
     *   - add ability to find whitespace problems -> we can build a poor mans decompounder with our index based on a automaton?
     *   - add ability to build different error models maybe based on a confusion matrix?
     *   - try to combine a token with its subsequent token to find / detect word splits (optional)
     *      - for this to work we need some way to defined the position length of a candidate
     *   - phonetic filters could be interesting here too for candidate selection
     */
@Override
public Suggestion<? extends Entry<? extends Option>> innerExecute(String name, PhraseSuggestionContext suggestion, IndexSearcher searcher, CharsRefBuilder spare) throws IOException {
    double realWordErrorLikelihood = suggestion.realworldErrorLikelyhood();
    final PhraseSuggestion response = new PhraseSuggestion(name, suggestion.getSize());
    final IndexReader indexReader = searcher.getIndexReader();
    List<PhraseSuggestionContext.DirectCandidateGenerator> generators = suggestion.generators();
    final int numGenerators = generators.size();
    final List<CandidateGenerator> gens = new ArrayList<>(generators.size());
    for (int i = 0; i < numGenerators; i++) {
        PhraseSuggestionContext.DirectCandidateGenerator generator = generators.get(i);
        DirectSpellChecker directSpellChecker = generator.createDirectSpellChecker();
        Terms terms = MultiFields.getTerms(indexReader, generator.field());
        if (terms != null) {
            gens.add(new DirectCandidateGenerator(directSpellChecker, generator.field(), generator.suggestMode(), indexReader, realWordErrorLikelihood, generator.size(), generator.preFilter(), generator.postFilter(), terms));
        }
    }
    final String suggestField = suggestion.getField();
    final Terms suggestTerms = MultiFields.getTerms(indexReader, suggestField);
    if (gens.size() > 0 && suggestTerms != null) {
        final NoisyChannelSpellChecker checker = new NoisyChannelSpellChecker(realWordErrorLikelihood, suggestion.getRequireUnigram(), suggestion.getTokenLimit());
        final BytesRef separator = suggestion.separator();
        WordScorer wordScorer = suggestion.model().newScorer(indexReader, suggestTerms, suggestField, realWordErrorLikelihood, separator);
        Result checkerResult;
        try (TokenStream stream = checker.tokenStream(suggestion.getAnalyzer(), suggestion.getText(), spare, suggestion.getField())) {
            checkerResult = checker.getCorrections(stream, new MultiCandidateGeneratorWrapper(suggestion.getShardSize(), gens.toArray(new CandidateGenerator[gens.size()])), suggestion.maxErrors(), suggestion.getShardSize(), wordScorer, suggestion.confidence(), suggestion.gramSize());
        }
        PhraseSuggestion.Entry resultEntry = buildResultEntry(suggestion, spare, checkerResult.cutoffScore);
        response.addTerm(resultEntry);
        final BytesRefBuilder byteSpare = new BytesRefBuilder();
        final Function<Map<String, Object>, ExecutableScript> collateScript = suggestion.getCollateQueryScript();
        final boolean collatePrune = (collateScript != null) && suggestion.collatePrune();
        for (int i = 0; i < checkerResult.corrections.length; i++) {
            Correction correction = checkerResult.corrections[i];
            spare.copyUTF8Bytes(correction.join(SEPARATOR, byteSpare, null, null));
            boolean collateMatch = true;
            if (collateScript != null) {
                // Checks if the template query collateScript yields any documents
                // from the index for a correction, collateMatch is updated
                final Map<String, Object> vars = suggestion.getCollateScriptParams();
                vars.put(SUGGESTION_TEMPLATE_VAR_NAME, spare.toString());
                QueryShardContext shardContext = suggestion.getShardContext();
                final ExecutableScript executable = collateScript.apply(vars);
                final BytesReference querySource = (BytesReference) executable.run();
                try (XContentParser parser = XContentFactory.xContent(querySource).createParser(shardContext.getXContentRegistry(), querySource)) {
                    QueryBuilder innerQueryBuilder = shardContext.newParseContext(parser).parseInnerQueryBuilder();
                    final ParsedQuery parsedQuery = shardContext.toQuery(innerQueryBuilder);
                    collateMatch = Lucene.exists(searcher, parsedQuery.query());
                }
            }
            if (!collateMatch && !collatePrune) {
                continue;
            }
            Text phrase = new Text(spare.toString());
            Text highlighted = null;
            if (suggestion.getPreTag() != null) {
                spare.copyUTF8Bytes(correction.join(SEPARATOR, byteSpare, suggestion.getPreTag(), suggestion.getPostTag()));
                highlighted = new Text(spare.toString());
            }
            if (collatePrune) {
                resultEntry.addOption(new Suggestion.Entry.Option(phrase, highlighted, (float) (correction.score), collateMatch));
            } else {
                resultEntry.addOption(new Suggestion.Entry.Option(phrase, highlighted, (float) (correction.score)));
            }
        }
    } else {
        response.addTerm(buildResultEntry(suggestion, spare, Double.MIN_VALUE));
    }
    return response;
}