final List<LlmMessage> history) {
        if (logger.isDebugEnabled()) {
            logger.debug("[RAG:ANSWER] generateAnswer. userMessage={}, documentCount={}, historySize={}", userMessage, documents.size(),
                    history.size());
        }
        final String context = buildContext(documents, "answer");

        public ChatSearchResult(final List<Map<String, Object>> documents, final String queryId, final long requestedTime) {
            this.documents = documents;
            this.queryId = queryId;
            this.requestedTime = requestedTime;
        }

        /**
         * Gets the search result documents.
         *
         * @return the list of documents
         */

        final List<Map<String, Object>> documents = new ArrayList<>();
        final Map<String, Object> doc = new HashMap<>();
        doc.put("title", "Test Doc");
        doc.put("url", "http://example.com");
        doc.put("content", "Plain text content without any HTML");
        documents.add(doc);

        final String result = client.testBuildContext(documents);

# Maximum length of site name in documents.
crawler.document.max.site.length=100
# Encoding for site names in documents.
crawler.document.site.encoding=UTF-8
# Hostname to use when unknown in documents.
crawler.document.unknown.hostname=unknown
# Whether to use site encoding for English documents.
crawler.document.use.site.encoding.on.english=false
# Whether to append data to documents.
crawler.document.append.data=true

        assertEquals("Exported 0 documents.", result);
    }

    @Test
    public void test_execute_queryAndFormatChaining() {
        setupMockComponents(Collections.emptyList());

        final String result = indexExportJob.query(QueryBuilders.matchAllQuery()).format("json").execute();

        assertEquals("Exported 0 documents.", result);
    }

labels.chat_phase_evaluate=Reviewing search results...
labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search

labels.chat_phase_evaluate=Reviewing search results...
labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search

        final String value = values.length > 3 ? values[3] : null;
        if (value == null) {
            return FormatType.SEARCH;
        }
        final String type = value.toLowerCase(Locale.ROOT);
        if ("documents".equals(type)) {
            if (values.length > 5 && "favorite".equals(values[5])) {
                request.setAttribute(DOC_ID_FIELD, values[4]);
                return FormatType.FAVORITE;
            }

labels.file_crawling_title_details=Configuration de l'exploration de fichiers
labels.included_paths=Chemins inclus
labels.excluded_paths=Chemins exclus
labels.included_doc_paths=Chemins de documents inclus
labels.excluded_doc_paths=Chemins de documents exclus
labels.config_parameter=Paramètres de configuration
labels.max_access_count=Nombre d'accès maximum
labels.number_of_thread=Nombre de threads
labels.interval_time=Intervalle

import org.w3c.dom.NamedNodeMap;
import org.w3c.dom.Node;
import org.w3c.dom.NodeList;
import org.xml.sax.InputSource;

import jakarta.annotation.PostConstruct;

/**
 * A transformer implementation for processing HTML documents using XPath expressions.
 * This class extends XpathTransformer to provide Fess-specific document processing capabilities
 * including content extraction, metadata processing, and robots tag handling.
 */