- name: Export Language Codes
        id: show-langs
        run: |
          echo "langs=$(python ./scripts/docs.py langs-json)" >> $GITHUB_OUTPUT

  build-docs:
    needs:
      - changes
      - langs
    if: ${{ needs.changes.outputs.docs == 'true' }}
    runs-on: ubuntu-latest
    strategy:
      matrix:
        lang: ${{ fromJson(needs.langs.outputs.langs) }}
    steps:
      - name: Dump GitHub context

public interface Normalizer {
    /**
     * Normalizes the given text.
     * @param text The text to normalize
     * @param field The field name
     * @param langs The language
     * @return The normalized text
     */
    String normalize(String text, String field, String... langs);

        final ReadingConverter converter;
        if (langs == null || langs.length == 0) {
            converter = new LangAnalyzerConverter(null);
        } else {
            final ReadingConverterChain chain = new ReadingConverterChain();
            for (final String lang : langs) {
                chain.addConverter(new LangAnalyzerConverter(lang));

    List<Normalizer> normalizers = new ArrayList<>();

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        String tmp = text;
        for (final Normalizer normalizer : normalizers) {
            tmp = normalizer.normalize(tmp, field, langs);
        }
        return tmp;
    }

    /**
     * Adds a normalizer to the chain.
     * @param normalizer The normalizer to add.

        final Normalizer normalizer;
        if (langs == null || langs.length == 0) {
            normalizer = new LangAnalyzerNormalizer(null);
        } else {
            final NormalizerChain chain = new NormalizerChain();
            for (final String lang : langs) {
                chain.add(new LangAnalyzerNormalizer(lang));
            }
            normalizer = chain;

     * @param field the field to be used for conversion.
     * @param langs the languages to be used for conversion.
     * @return a list of readings for the given text.
     * @throws IOException if an I/O error occurs during conversion.
     */
    List<String> convert(String text, final String field, String... langs) throws IOException;

        getQueryLanguages().ifPresent(langs -> stream(langs).of(stream -> stream.forEach(lang -> {
            defaultQuery.add(
                    builder.apply(fessConfig.getIndexFieldTitle() + "_" + lang, fessConfig.getQueryBoostTitleLangAsDecimal().floatValue()));
            defaultQuery.add(builder.apply(fessConfig.getIndexFieldContent() + "_" + lang,

     */
    public FullWidthToHalfWidthAlphabetNormalizer() {
        // nothing
    }

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        final char[] chars = new char[text.length()];
        for (int i = 0; i < chars.length; i++) {
            final char c = text.charAt(i);
            if (c >= 'ａ' && c <= 'ｚ') {

     * @param normalizer the normalizer to use for normalizing the search words
     * @param analyzer the analyzer to use for analyzing the search words
     * @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */

            }

            @Override
            public List<String> convert(String text, final String field, String... langs) throws IOException {
                return null;
            }
        };

        final Normalizer normalizer = (text, field, lang) -> null;

        final Suggester suggester = Suggester.builder()