public DocList filterResultsBySyntMatchReduceDocSet()

in opennlp-similarity/src/main/java/opennlp/tools/similarity/apps/solr/SyntGenRequestHandler.java [105:182]
65 lines of code
16 McCabe index (conditional complexity)

	public DocList filterResultsBySyntMatchReduceDocSet(DocList docList,
			SolrQueryRequest req,  SolrParams params) {
		//if (!docList.hasScores())
		//	return docList;

		int len = docList.size();
		if (len < 1) // do nothing
			return docList;
		ParserChunker2MatcherProcessor pos = ParserChunker2MatcherProcessor .getInstance();

		DocIterator iter = docList.iterator();
		float[] syntMatchScoreArr = new float[len];
		String requestExpression = req.getParamString();
		String[] exprParts = requestExpression.split("&");
		for(String part: exprParts){
			if (part.startsWith("q="))
				requestExpression = part;
		}
		String fieldNameQuery = StringUtils.substringBetween(requestExpression, "=", ":");
		// extract phrase query (in double-quotes)
		String[] queryParts = requestExpression.split("\"");
		if  (queryParts.length>=2 && queryParts[1].length()>5)
			requestExpression = queryParts[1].replace('+', ' ');
		else if (requestExpression.contains(":")) {// still field-based expression
			requestExpression = requestExpression.replaceAll(fieldNameQuery+":", "").replace('+',' ').replaceAll("  ", " ").replace("q=", "");
		}

		if (fieldNameQuery ==null)
			return docList;
		if (requestExpression==null || requestExpression.length()<5  || requestExpression.split(" ").length<3)
			return docList;
		int[] docIDsHits = new int[len];

		IndexReader indexReader = req.getSearcher().getIndexReader();
		List<Integer> bestMatchesDocIds = new ArrayList<>(); List<Float> bestMatchesScore = new ArrayList<>();
		List<Pair<Integer, Float>> docIdsScores = new ArrayList<> ();
		try {
			for (int i=0; i<docList.size(); ++i) {
				int docId = iter.nextDoc();
				docIDsHits[i] = docId;
				Document doc = indexReader.document(docId);

				// get text for event
				String answerText = doc.get(fieldNameQuery);
				if (answerText==null)
					continue;
				SentencePairMatchResult matchResult = pos.assessRelevance( requestExpression , answerText);
				float syntMatchScore = Double.valueOf(parseTreeChunkListScorer.getParseTreeChunkListScore(matchResult.getMatchResult())).floatValue();
				bestMatchesDocIds.add(docId);
				bestMatchesScore.add(syntMatchScore);
				syntMatchScoreArr[i] = syntMatchScore; //*iter.score();
				System.out.println(" Matched query = '"+requestExpression + "' with answer = '"+answerText +"' | doc_id = '"+docId);
				System.out.println(" Match result = '"+matchResult.getMatchResult() + "' with score = '"+syntMatchScore +"';" );
				docIdsScores.add(new Pair<>(docId, syntMatchScore));
			}

		} catch (CorruptIndexException e1) {
			e1.printStackTrace();
			//log.severe("Corrupt index"+e1);
		} catch (IOException e1) {
			e1.printStackTrace();
			//log.severe("File read IO / index"+e1);
		}

		docIdsScores.sort(new PairComparable<>());
		for (int i = 0; i<docIdsScores.size(); i++){
			bestMatchesDocIds.set(i, docIdsScores.get(i).getFirst());
			bestMatchesScore.set(i, docIdsScores.get(i).getSecond());
		}
		System.out.println(bestMatchesScore);
		float maxScore = docList.maxScore(); // do not change
		int limit = docIdsScores.size();
		int start = 0;
		return new DocSlice(start, limit,
				ArrayUtils.toPrimitive(bestMatchesDocIds.toArray(new Integer[0])),
				ArrayUtils.toPrimitive(bestMatchesScore.toArray(new Float[0])),
				bestMatchesDocIds.size(), maxScore, TotalHits.Relation.GREATER_THAN_OR_EQUAL_TO);
	}