languageHelper.createScript(doc, "aaa").getIdOrCode());
    }

    @Test
    public void test_getReindexScriptSource() {
        assertEquals(
                "if(ctx._source.lang!=null){ctx._source['title_'+ctx._source.lang]=ctx._source.title;ctx._source['content_'+ctx._source.lang]=ctx._source.content}",

        FessConfig fessConfig = ComponentUtil.getFessConfig();
        QueryContext context1 = new QueryContext("test", true);
        QueryContext context2 = new QueryContext("test", true);

        // Using template method
        QueryBuilder result1 = queryCommand.convertWithFieldCheck(fessConfig, context1, "title", "test", 1.0f,
                (field, boost) -> QueryBuilders.matchQuery(field, "test").boost(boost),

        "content_gl",
        "content_gu",
        "content_he",
        "content_hi",
        "content_hr",
        "content_hu",
        "content_hy",
        "content_id",
        "content_it",
        "content_ja",
        "content_ko",
        "content_lt",
        "content_lv",
        "content_mk",
        "content_ml",
        "content_nl",
        "content_no",

        List<RelatedContent> testData = new ArrayList<>();
        testData.add(createRelatedContent("term1", "Content for host1", "host1"));
        testData.add(createRelatedContent("term1", "Content for host2", "host2"));
        testData.add(createRelatedContent("term2", "Content for default", ""));
        mockBhv.setTestData(testData);

        int count = relatedContentHelper.load();

During crawling and indexing, Fess:

1. Detects language from document content using Apache Tika
2. Validates against `supported.languages` list
3. Creates language-specific fields (e.g., `content_ja`, `title_en`, `content_sv`)
4. Applies language-specific analyzers for better search results

Configured in `fess_config.properties`:
```properties
indexer.language.fields=content,important_content,title
```

        assertQueryBuilder("content", "test", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "a", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "あ", PrefixQueryBuilder.class);
        assertQueryBuilder("content", "ああ", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "ア", PrefixQueryBuilder.class);

    /** The separator for text content. */
    protected static final String TEXT_SEP = " ";

    /** The suggester instance for handling suggest operations. */
    protected Suggester suggester;

    /** The Fess configuration for accessing system settings. */
    protected FessConfig fessConfig;

    /** The set of field names for content. */

        }
        return getAvailableClient().evaluateResults(userMessage, query, searchResults);
    }

    /**
     * Generates an answer using document content (synchronous).
     *
     * @param userMessage the user's message
     * @param documents the documents with content
     * @param history the conversation history
     * @return the chat response
     * @throws LlmException if LLM is not available
     */

        // Test that multiple invocations return consistent results
        QueryContext context = new QueryContext("*:*", false);
        MatchAllDocsQuery query = new MatchAllDocsQuery();
        float boost = 1.0f;

        QueryBuilder result1 = matchAllQueryCommand.execute(context, query, boost);
        QueryBuilder result2 = matchAllQueryCommand.execute(context, query, boost);

        assertNotNull(result1);
        assertNotNull(result2);

```bash
# Create NDJSON file
cat > documents.ndjson << 'EOF'
{"url":"http://example.com/page1","title":"Page 1","content":"Content here..."}
{"url":"http://example.com/page2","title":"Page 2","content":"More content..."}
EOF

# Import via API
curl -X PUT "http://localhost:8080/api/admin/documents/bulk" \
  -H "Content-Type: application/x-ndjson" \
  -u admin:admin \
  --data-binary @documents.ndjson
```