defaultList.add("keyword1");
        defaultList.add("keyword2");
        fieldLogMap.put(Constants.DEFAULT_FIELD, defaultList);
        getMockRequest().setAttribute(Constants.FIELD_LOGS, fieldLogMap);

        queryContext = new QueryContext("test", true);
        List<String> keywords = queryContext.getDefaultKeyword();
        assertEquals(2, keywords.size());

    }

    /**
     * Loads the known keywords. Although the JSON on disk maps from language to keywords, this method
     * inverts this to map from keyword to languages. This is because the same keywords are found in
     * multiple languages, so it is easier and more useful to have a single map of keywords.
     *
     * @return a mapping from keyword to languages.
     */

        "keywords": ["Hola", "món", "recerca"]
      },
      "catalan_stemmer": {
        "type":       "stemmer",
        "language":   "catalan"
      },
      "czech_stop": {
        "type":       "stop",
        "stopwords":  "_czech_"
      },
      "czech_keywords": {
        "type":       "keyword_marker",
        "keywords": ["Haló", "svět", "vyhledávání"]
      },

        "keywords": ["Hola", "món", "recerca"]
      },
      "catalan_stemmer": {
        "type":       "stemmer",
        "language":   "catalan"
      },
      "czech_stop": {
        "type":       "stop",
        "stopwords":  "_czech_"
      },
      "czech_keywords": {
        "type":       "keyword_marker",
        "keywords": ["Haló", "svět", "vyhledávání"]
      },

        "keywords":   ["مرحباا"]
      },
      "arabic_stemmer": {
        "type":       "stemmer",
        "language":   "arabic"
      },
      "bulgarian_stop": {
        "type":       "stop",
        "stopwords":  "_bulgarian_"
      },
      "bulgarian_keywords": {
        "type":       "keyword_marker",
        "keywords":   ["Добър ден"]
      },

      },
      "english_keywords": {
        "type":       "keyword_marker",
        "keywords":   ["hello"]
      },
      "finnish_stop": {
        "type":       "stop",
        "stopwords":  "_finnish_"
      },
      "finnish_keywords": {
        "type":       "keyword_marker",
        "keywords":   ["Hei"]
      },
      "finnish_stemmer": {
        "type":       "stemmer",

            for (String keyword : query.split(" ")) {
                if (keyword.equals("AND")) {
                    continue;
                }
                assertTrue(
                        doc.entrySet()
                                .stream()
                                .anyMatch(entry -> entry.getValue().toString().toLowerCase().contains(keyword.toLowerCase())),

     *
     * @param q the query string to parse and extract keywords from
     * @param fields the fields to consider when extracting keywords
     * @return a list of unique keywords extracted from the query string
     */
    public static List<String> getKeywords(final String q, final String[] fields) {
        final List<String> keywords = new ArrayList<>();

        if (map != null) {
            return map;
        }
        return Collections.emptyMap();
    }

    /**
     * Builds a query for boosting documents based on the keyword list.
     *
     * @param keywordList The list of keywords.
     * @param list The list of filter function builders to add to.
     */
    public void buildQuery(final List<String> keywordList, final List<FilterFunctionBuilder> list) {

     * those keywords are replaced by, for example, the actual timestamp.
     *
     * @see ArtifactCoordinates#getVersionConstraint()
     */
    @Nonnull
    Version getVersion();

    /**
     * {@return the version or meta-version of the artifact}.
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.