package it.cavallium.dbengine.lucene;

import it.cavallium.dbengine.client.CompositeSnapshot;
import it.cavallium.dbengine.client.IndicizerAnalyzers;
import it.cavallium.dbengine.client.IndicizerSimilarities;
import it.cavallium.dbengine.client.query.QueryParser;
import it.cavallium.dbengine.client.query.current.data.QueryParams;
import it.cavallium.dbengine.client.query.current.data.TotalHitsCount;
import it.cavallium.dbengine.database.EnglishItalianStopFilter;
import it.cavallium.dbengine.database.LLKeyScore;
import it.cavallium.dbengine.database.LLUtils;
import it.cavallium.dbengine.database.collections.DatabaseMapDictionary;
import it.cavallium.dbengine.database.collections.DatabaseMapDictionaryDeep;
import it.cavallium.dbengine.database.collections.ValueGetter;
import it.cavallium.dbengine.database.disk.LLIndexSearchers;
import it.cavallium.dbengine.lucene.analyzer.NCharGramAnalyzer;
import it.cavallium.dbengine.lucene.analyzer.NCharGramEdgeAnalyzer;
import it.cavallium.dbengine.lucene.analyzer.TextFieldsAnalyzer;
import it.cavallium.dbengine.lucene.analyzer.TextFieldsSimilarity;
import it.cavallium.dbengine.lucene.analyzer.WordAnalyzer;
import it.cavallium.dbengine.lucene.mlt.BigCompositeReader;
import it.cavallium.dbengine.lucene.mlt.MultiMoreLikeThis;
import it.cavallium.dbengine.lucene.searcher.LocalQueryParams;
import it.cavallium.dbengine.lucene.similarity.NGramSimilarity;
import java.io.EOFException;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.channels.FileChannel;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.LowerCaseFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.en.EnglishPossessiveFilter;
import org.apache.lucene.analysis.en.KStemFilter;
import org.apache.lucene.analysis.miscellaneous.ASCIIFoldingFilter;
import org.apache.lucene.analysis.miscellaneous.PerFieldAnalyzerWrapper;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexableField;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.BooleanQuery.Builder;
import org.apache.lucene.search.ConstantScoreQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.MatchNoDocsQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.TopFieldDocs;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.similarities.BooleanSimilarity;
import org.apache.lucene.search.similarities.ClassicSimilarity;
import org.apache.lucene.search.similarities.PerFieldSimilarityWrapper;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.search.similarities.TFIDFSimilarity;
import org.jetbrains.annotations.NotNull;
import org.jetbrains.annotations.Nullable;
import org.novasearch.lucene.search.similarities.BM25Similarity;
import org.novasearch.lucene.search.similarities.BM25Similarity.BM25Model;
import org.novasearch.lucene.search.similarities.LdpSimilarity;
import org.novasearch.lucene.search.similarities.LtcSimilarity;
import org.novasearch.lucene.search.similarities.RobertsonSimilarity;
import org.warp.commonutils.log.Logger;
import org.warp.commonutils.log.LoggerFactory;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import reactor.core.scheduler.Schedulers;
import reactor.util.concurrent.Queues;
import reactor.util.function.Tuple2;

public class LuceneUtils {

	private static final Logger logger = LoggerFactory.getLogger(LuceneUtils.class);

	private static final Analyzer lucene4GramWordsAnalyzerEdgeInstance = new NCharGramEdgeAnalyzer(true, 4, 4);
	private static final Analyzer lucene4GramStringAnalyzerEdgeInstance = new NCharGramEdgeAnalyzer(false, 4, 4);
	private static final Analyzer lucene4GramWordsAnalyzerInstance = new NCharGramAnalyzer(true, 4, 4);
	private static final Analyzer lucene4GramStringAnalyzerInstance = new NCharGramAnalyzer(false, 4, 4);
	private static final Analyzer lucene3To5GramWordsAnalyzerEdgeInstance = new NCharGramEdgeAnalyzer(true, 3, 5);
	private static final Analyzer lucene3To5GramStringAnalyzerEdgeInstance = new NCharGramEdgeAnalyzer(false, 3, 5);
	private static final Analyzer lucene3To5GramWordsAnalyzerInstance = new NCharGramAnalyzer(true, 3, 5);
	private static final Analyzer lucene3To5GramStringAnalyzerInstance = new NCharGramAnalyzer(false, 3, 5);
	private static final Analyzer luceneStandardAnalyzerInstance = new StandardAnalyzer();
	private static final Analyzer luceneWordAnalyzerStopWordsAndStemInstance = new WordAnalyzer(false,true, true);
	private static final Analyzer luceneWordAnalyzerStopWordsInstance = new WordAnalyzer(false, true, false);
	private static final Analyzer luceneWordAnalyzerStemInstance = new WordAnalyzer(false, false, true);
	private static final Analyzer luceneWordAnalyzerSimpleInstance = new WordAnalyzer(false, false, false);
	private static final Analyzer luceneICUCollationKeyInstance = new WordAnalyzer(false, true, true);
	private static final Similarity luceneBM25ClassicSimilarityInstance = new BM25Similarity(BM25Model.CLASSIC);
	private static final Similarity luceneBM25PlusSimilarityInstance = new BM25Similarity(BM25Model.PLUS);
	private static final Similarity luceneBM25LSimilarityInstance = new BM25Similarity(BM25Model.L);
	private static final Similarity luceneBM15PlusSimilarityInstance = new BM25Similarity(1.2f, 0.0f, 0.5f, BM25Model.PLUS);
	private static final Similarity luceneBM11PlusSimilarityInstance = new BM25Similarity(1.2f, 1.0f, 0.5f, BM25Model.PLUS);
	private static final Similarity luceneBM25ClassicNGramSimilarityInstance = NGramSimilarity.bm25(BM25Model.CLASSIC);
	private static final Similarity luceneBM25PlusNGramSimilarityInstance = NGramSimilarity.bm25(BM25Model.PLUS);
	private static final Similarity luceneBM25LNGramSimilarityInstance = NGramSimilarity.bm25(BM25Model.L);
	private static final Similarity luceneBM15PlusNGramSimilarityInstance = NGramSimilarity.bm15(BM25Model.PLUS);
	private static final Similarity luceneBM11PlusNGramSimilarityInstance = NGramSimilarity.bm11(BM25Model.PLUS);
	private static final Similarity luceneClassicSimilarityInstance = new ClassicSimilarity();
	private static final Similarity luceneClassicNGramSimilarityInstance = NGramSimilarity.classic();
	private static final Similarity luceneLTCSimilarityInstance = new LtcSimilarity();
	private static final Similarity luceneLDPSimilarityInstance = new LdpSimilarity();
	private static final Similarity luceneLDPNoLengthSimilarityInstance = new LdpSimilarity(0, 0.5f);
	private static final Similarity luceneBooleanSimilarityInstance = new BooleanSimilarity();
	private static final Similarity luceneRobertsonSimilarityInstance = new RobertsonSimilarity();
	// TODO: remove this default page limits and make the limits configurable into QueryParams
	private static final PageLimits DEFAULT_PAGE_LIMITS = new ExponentialPageLimits();

	@SuppressWarnings("DuplicatedCode")
	public static Analyzer getAnalyzer(TextFieldsAnalyzer analyzer) {
		return switch (analyzer) {
			case N4GramPartialWords -> lucene4GramWordsAnalyzerInstance;
			case N4GramPartialString -> lucene4GramStringAnalyzerInstance;
			case N4GramPartialWordsEdge -> lucene4GramWordsAnalyzerEdgeInstance;
			case N4GramPartialStringEdge -> lucene4GramStringAnalyzerEdgeInstance;
			case N3To5GramPartialWords -> lucene3To5GramWordsAnalyzerInstance;
			case N3To5GramPartialString -> lucene3To5GramStringAnalyzerInstance;
			case N3To5GramPartialWordsEdge -> lucene3To5GramWordsAnalyzerEdgeInstance;
			case N3To5GramPartialStringEdge -> lucene3To5GramStringAnalyzerEdgeInstance;
			case Standard -> luceneStandardAnalyzerInstance;
			case FullText -> luceneWordAnalyzerStopWordsAndStemInstance;
			case WordWithStopwordsStripping -> luceneWordAnalyzerStopWordsInstance;
			case WordWithStemming -> luceneWordAnalyzerStemInstance;
			case WordSimple -> luceneWordAnalyzerSimpleInstance;
			case ICUCollationKey -> luceneICUCollationKeyInstance;
			//noinspection UnnecessaryDefault
			default -> throw new UnsupportedOperationException("Unknown analyzer: " + analyzer);
		};
	}

	@SuppressWarnings("DuplicatedCode")
	public static Similarity getSimilarity(TextFieldsSimilarity similarity) {
		return switch (similarity) {
			case BM25Classic -> luceneBM25ClassicSimilarityInstance;
			case NGramBM25Classic -> luceneBM25ClassicNGramSimilarityInstance;
			case BM25L -> luceneBM25LSimilarityInstance;
			case NGramBM25L -> luceneBM25LNGramSimilarityInstance;
			case Classic -> luceneClassicSimilarityInstance;
			case NGramClassic -> luceneClassicNGramSimilarityInstance;
			case BM25Plus -> luceneBM25PlusSimilarityInstance;
			case NGramBM25Plus -> luceneBM25PlusNGramSimilarityInstance;
			case BM15Plus -> luceneBM15PlusSimilarityInstance;
			case NGramBM15Plus -> luceneBM15PlusNGramSimilarityInstance;
			case BM11Plus -> luceneBM11PlusSimilarityInstance;
			case NGramBM11Plus -> luceneBM11PlusNGramSimilarityInstance;
			case LTC -> luceneLTCSimilarityInstance;
			case LDP -> luceneLDPSimilarityInstance;
			case LDPNoLength -> luceneLDPNoLengthSimilarityInstance;
			case Robertson -> luceneRobertsonSimilarityInstance;
			case Boolean -> luceneBooleanSimilarityInstance;
			//noinspection UnnecessaryDefault
			default -> throw new IllegalStateException("Unknown similarity: " + similarity);
		};
	}

	/**
	 *
	 * @param stem Enable stem filters on words.
	 *              Pass false if it will be used with a n-gram filter
	 */
	public static TokenStream newCommonFilter(TokenStream tokenStream, boolean stem) {
		tokenStream = newCommonNormalizer(tokenStream);
		if (stem) {
			tokenStream = new KStemFilter(tokenStream);
			tokenStream = new EnglishPossessiveFilter(tokenStream);
		}
		return tokenStream;
	}

	public static TokenStream newCommonNormalizer(TokenStream tokenStream) {
		tokenStream = new ASCIIFoldingFilter(tokenStream);
		tokenStream = new LowerCaseFilter(tokenStream);
		return tokenStream;
	}

	/**
	 * @throws NoSuchElementException when the key is not found
	 * @throws IOException when an error occurs when reading the document
	 */
	@NotNull
	public static String keyOfTopDoc(int docId, IndexReader indexReader,
			String keyFieldName) throws IOException, NoSuchElementException {
		if (Schedulers.isInNonBlockingThread()) {
			throw new UnsupportedOperationException("Called keyOfTopDoc in a nonblocking thread");
		}
		if (docId > indexReader.maxDoc()) {
			throw new IOException("Document " + docId + " > maxDoc (" +indexReader.maxDoc() + ")");
		}
		DocumentStoredSingleFieldVisitor visitor = new DocumentStoredSingleFieldVisitor(keyFieldName);
		indexReader.document(docId, visitor);
		Document d = visitor.getDocument();
		if (d.getFields().isEmpty()) {
			throw new NoSuchElementException(
					"Can't get key (field \"" + keyFieldName + "\") of document docId: " + docId + ". Available fields: []");
		} else {
			var field = d.getField(keyFieldName);
			if (field == null) {
				throw new NoSuchElementException(
						"Can't get key (field \"" + keyFieldName + "\") of document docId: " + docId + ". Available fields: " + d
								.getFields()
								.stream()
								.map(IndexableField::name)
								.collect(Collectors.joining(",", "[", "]")));
			} else {
				return field.stringValue();
			}
		}
	}

	public static <T, U, V> ValueGetter<Entry<T, U>, V> getAsyncDbValueGetterDeep(
			CompositeSnapshot snapshot,
			DatabaseMapDictionaryDeep<T, Map<U, V>, DatabaseMapDictionary<U, V>> dictionaryDeep) {
		return entry -> LLUtils.usingResource(dictionaryDeep
				.at(snapshot, entry.getKey()), sub -> sub.getValue(snapshot, entry.getValue()), true);
	}

	public static PerFieldAnalyzerWrapper toPerFieldAnalyzerWrapper(IndicizerAnalyzers indicizerAnalyzers) {
		HashMap<String, Analyzer> perFieldAnalyzer = new HashMap<>();
		indicizerAnalyzers
				.fieldAnalyzer()
				.forEach((key, value) -> perFieldAnalyzer.put(key, LuceneUtils.getAnalyzer(value)));
		return new PerFieldAnalyzerWrapper(LuceneUtils.getAnalyzer(indicizerAnalyzers.defaultAnalyzer()), perFieldAnalyzer);
	}

	public static PerFieldSimilarityWrapper toPerFieldSimilarityWrapper(IndicizerSimilarities indicizerSimilarities) {
		HashMap<String, Similarity> perFieldSimilarity = new HashMap<>();
		indicizerSimilarities
				.fieldSimilarity()
				.forEach((key, value) -> perFieldSimilarity.put(key, LuceneUtils.getSimilarity(value)));
		var defaultSimilarity = LuceneUtils.getSimilarity(indicizerSimilarities.defaultSimilarity());
		return new PerFieldSimilarityWrapper() {

			@Override
			public Similarity get(String name) {
				return perFieldSimilarity.getOrDefault(name, defaultSimilarity);
			}
		};
	}

	public static int alignUnsigned(int number, boolean expand) {
		if (number % 4096 != 0) {
			if (expand) {
				return number + (4096 - (number % 4096));
			} else {
				return number - (number % 4096);
			}
		} else {
			return number;
		}
	}

	public static long alignUnsigned(long number, boolean expand) {
		if (number % 4096L != 0) {
			if (expand) {
				return number + (4096L - (number % 4096L));
			} else {
				return number - (number % 4096L);
			}
		} else {
			return number;
		}
	}

	public static void readInternalAligned(Object ref,
			FileChannel channel,
			long pos,
			ByteBuffer b,
			int readLength,
			int usefulLength,
			long end) throws IOException {
		if (Schedulers.isInNonBlockingThread()) {
			throw new UnsupportedOperationException("Called readInternalAligned in a nonblocking thread");
		}
		int startBufPosition = b.position();
		int readData = 0;
		int i;
		for(; readLength > 0; readLength -= i) {
			int toRead = readLength;
			b.limit(b.position() + toRead);

			assert b.remaining() == toRead;

			var beforeReadBufPosition = b.position();
			channel.read(b, pos);
			b.limit(Math.min(startBufPosition + usefulLength, b.position() + toRead));
			var afterReadBufPosition = b.position();
			i = (afterReadBufPosition - beforeReadBufPosition);
			readData += i;

			if (i < toRead && i > 0) {
				if (readData < usefulLength) {
					throw new EOFException("read past EOF: " + ref + " buffer: " + b + " chunkLen: " + toRead + " end: " + end);
				}
				if (readData == usefulLength) {
					b.limit(b.position());
					// File end reached
					return;
				}
			}

			if (i < 0) {
				throw new EOFException("read past EOF: " + ref + " buffer: " + b + " chunkLen: " + toRead + " end: " + end);
			}

			assert i > 0 : "FileChannel.read with non zero-length bb.remaining() must always read at least one byte (FileChannel is in blocking mode, see spec of ReadableByteChannel)";

			pos += i;
		}

		assert readLength == 0;
	}

	public static int safeLongToInt(long l) {
		if (l > 2147483630) {
			return 2147483630;
		} else if (l < -2147483630) {
			return -2147483630;
		} else {
			return (int) l;
		}
	}

	@Nullable
	public static ScoreDoc getLastScoreDoc(ScoreDoc[] scoreDocs) {
		if (scoreDocs == null) {
			return null;
		}
		if (scoreDocs.length == 0) {
			return null;
		}
		return scoreDocs[scoreDocs.length - 1];
	}

	public static LocalQueryParams toLocalQueryParams(QueryParams queryParams) {
		return new LocalQueryParams(QueryParser.toQuery(queryParams.query()),
				queryParams.offset(),
				queryParams.limit(),
				DEFAULT_PAGE_LIMITS,
				queryParams.minCompetitiveScore().getNullable(),
				QueryParser.toSort(queryParams.sort()),
				queryParams.complete()
		);
	}

	public static Flux<LLKeyScore> convertHits(Flux<ScoreDoc> hitsFlux,
			List<IndexSearcher> indexSearchers,
			String keyFieldName,
			boolean preserveOrder) {
		if (preserveOrder) {
			return hitsFlux
					.mapNotNull(hit -> mapHitBlocking(hit, indexSearchers, keyFieldName));
		} else {
			// Compute parallelism
			var availableProcessors = Runtime.getRuntime().availableProcessors();
			var min = Queues.XS_BUFFER_SIZE;
			var maxParallelGroups = Math.max(availableProcessors, min);

			return hitsFlux
					.groupBy(hit -> hit.shardIndex % maxParallelGroups) // Max n groups
					.flatMap(shardHits -> shardHits
									.mapNotNull(hit -> mapHitBlocking(hit, indexSearchers, keyFieldName)),
							maxParallelGroups // Max n concurrency. Concurrency must be >= total groups count
					);
		}
	}

	@Nullable
	private static LLKeyScore mapHitBlocking(ScoreDoc hit,
			List<IndexSearcher> indexSearchers,
			String keyFieldName) {
		if (Schedulers.isInNonBlockingThread()) {
			throw new UnsupportedOperationException("Called mapHitBlocking in a nonblocking thread");
		}
		int shardDocId = hit.doc;
		int shardIndex = hit.shardIndex;
		float score = hit.score;
		if (shardIndex == -1 && indexSearchers.size() == 1) {
			shardIndex = 0;
		}
		var indexSearcher = indexSearchers.get(shardIndex);
		try {
			String collectedDoc = keyOfTopDoc(shardDocId, indexSearcher.getIndexReader(), keyFieldName);
			return new LLKeyScore(shardDocId, score, collectedDoc);
		} catch (NoSuchElementException ex) {
			logger.debug("Error: document {} key is not present!", shardDocId);
			return null;
		} catch (Exception ex) {
			logger.error("Failed to read document {}", shardDocId, ex);
			return new LLKeyScore(shardDocId, score, null);
		}
	}

	public static TopDocs mergeTopDocs(
			@Nullable Sort sort,
			@Nullable Integer startN,
			@Nullable Integer topN,
			TopDocs[] topDocs,
			Comparator<ScoreDoc> tieBreaker) {
		if ((startN == null) != (topN == null)) {
			throw new IllegalArgumentException("You must pass startN and topN together or nothing");
		}
		TopDocs result;
		if (sort != null) {
			if (!(topDocs instanceof TopFieldDocs[])) {
				throw new IllegalStateException("Expected TopFieldDocs[], got TopDocs[]");
			}
			if (startN == null) {
				int defaultTopN = 0;
				for (TopDocs td : topDocs) {
					int length = td.scoreDocs.length;
					defaultTopN += length;
				}
				result = TopDocs.merge(sort, 0, defaultTopN,
						(TopFieldDocs[]) topDocs,
						tieBreaker
				);
			} else {
				result = TopDocs.merge(sort, startN,
						topN,
						(TopFieldDocs[]) topDocs,
						tieBreaker
				);
			}
		} else {
			if (startN == null) {
				int defaultTopN = 0;
				for (TopDocs td : topDocs) {
					int length = td.scoreDocs.length;
					defaultTopN += length;
				}
				result = TopDocs.merge(0,
						defaultTopN,
						topDocs,
						tieBreaker
				);
			} else {
				result = TopDocs.merge(startN,
						topN,
						topDocs,
						tieBreaker
				);
			}
		}
		return result;
	}

	public static int totalHitsThreshold(boolean complete) {
		return complete ? Integer.MAX_VALUE : 1;
	}

	public static long totalHitsThresholdLong(boolean complete) {
		return complete ? Long.MAX_VALUE : 1;
	}

	public static TotalHitsCount convertTotalHitsCount(TotalHits totalHits) {
		return switch (totalHits.relation) {
			case EQUAL_TO -> TotalHitsCount.of(totalHits.value, true);
			case GREATER_THAN_OR_EQUAL_TO -> TotalHitsCount.of(totalHits.value, false);
		};
	}

	public static TotalHitsCount sum(TotalHitsCount totalHitsCount, TotalHitsCount totalHitsCount1) {
		return TotalHitsCount.of(totalHitsCount.value() + totalHitsCount1.value(),
				totalHitsCount.exact() && totalHitsCount1.exact()
		);
	}

	@SuppressWarnings("unused")
	public static String toHumanReadableString(TotalHitsCount totalHitsCount) {
		if (totalHitsCount.exact()) {
			return Long.toString(totalHitsCount.value());
		} else {
			return totalHitsCount.value() + "+";
		}
	}

	public static Mono<LocalQueryParams> getMoreLikeThisQuery(
			LLIndexSearchers inputIndexSearchers,
			LocalQueryParams localQueryParams,
			Analyzer analyzer,
			Similarity similarity,
			Flux<Tuple2<String, Set<String>>> mltDocumentFieldsFlux) {
		var indexSearchers = inputIndexSearchers.shards();
		Query luceneAdditionalQuery;
		try {
			luceneAdditionalQuery = localQueryParams.query();
		} catch (Exception e) {
			return Mono.error(e);
		}
		return mltDocumentFieldsFlux
				.collectMap(Tuple2::getT1, Tuple2::getT2, HashMap::new)
				.flatMap(mltDocumentFields -> Mono.fromCallable(() -> {
					mltDocumentFields.entrySet().removeIf(entry -> entry.getValue().isEmpty());
					if (mltDocumentFields.isEmpty()) {
						return new LocalQueryParams(new MatchNoDocsQuery(),
								localQueryParams.offsetLong(),
								localQueryParams.limitLong(),
								DEFAULT_PAGE_LIMITS,
								localQueryParams.minCompetitiveScore(),
								localQueryParams.sort(),
								localQueryParams.complete()
						);
					}
					MultiMoreLikeThis mlt;
					if (indexSearchers.size() == 1) {
						mlt = new MultiMoreLikeThis(new BigCompositeReader<>(indexSearchers.get(0).getIndexReader(), IndexReader[]::new), null);
					} else {
						IndexReader[] indexReaders = new IndexReader[indexSearchers.size()];
						for (int i = 0, size = indexSearchers.size(); i < size; i++) {
							indexReaders[i] = indexSearchers.get(i).getIndexReader();
						}
						mlt = new MultiMoreLikeThis(new BigCompositeReader<>(indexReaders, new ArrayIndexComparator(indexReaders)), null);
					}
					mlt.setAnalyzer(analyzer);
					mlt.setFieldNames(mltDocumentFields.keySet().toArray(String[]::new));
					mlt.setMinTermFreq(1);
					mlt.setMinDocFreq(3);
					mlt.setMaxDocFreqPct(20);
					mlt.setBoost(localQueryParams.needsScores());
					mlt.setStopWords(EnglishItalianStopFilter.getStopWordsString());
					if (similarity instanceof TFIDFSimilarity tfidfSimilarity) {
						mlt.setSimilarity(tfidfSimilarity);
					} else {
						mlt.setSimilarity(new ClassicSimilarity());
					}

					// Get the reference docId and apply it to MoreLikeThis, to generate the query
					@SuppressWarnings({"unchecked", "rawtypes"})
					var mltQuery = mlt.like((Map) mltDocumentFields);
					Query luceneQuery;
					if (!(luceneAdditionalQuery instanceof MatchAllDocsQuery)) {
						luceneQuery = new Builder()
								.add(mltQuery, Occur.MUST)
								.add(new ConstantScoreQuery(luceneAdditionalQuery), Occur.MUST)
								.build();
					} else {
						luceneQuery = mltQuery;
					}

					return new LocalQueryParams(luceneQuery,
							localQueryParams.offsetLong(),
							localQueryParams.limitLong(),
							DEFAULT_PAGE_LIMITS,
							localQueryParams.minCompetitiveScore(),
							localQueryParams.sort(),
							localQueryParams.complete()
					);
				}).subscribeOn(Schedulers.boundedElastic()));
	}
}