"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",

        "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",

        "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",

        assertEquals("aaa;ctx._source.title_ja=ctx._source.title;ctx._source.content_ja=ctx._source.content",
                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}",

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
```

                    contentList.add(regexData.getSecond().replace(queryPlaceHolder, query));
                }
            }
            return contentList.toArray(new String[contentList.size()]);
        }
        return StringUtil.EMPTY_STRINGS;
    }

    private String toLowerCase(final String term) {
        return term != null ? term.toLowerCase(Locale.ROOT) : term;
    }

    /**

Avec cela, même si vous recevez une requête contenant des doublons, elle sera convertie en un set d'éléments uniques.

Et chaque fois que vous renverrez ces données, même si la source contenait des doublons, elles seront renvoyées sous la forme d'un set d'éléments uniques.

Elles seront également annotées / documentées en conséquence.

## Modèles imbriqués { #nested-models }

Diyelim ki girintili ve biçimlendirilmiş JSON döndürmek istiyorsunuz; bunun için orjson seçeneği `orjson.OPT_INDENT_2`’yi kullanmak istiyorsunuz.

Bir `CustomORJSONResponse` oluşturabilirsiniz. Burada yapmanız gereken temel şey, content’i `bytes` olarak döndüren bir `Response.render(content)` metodu yazmaktır:

{* ../../docs_src/custom_response/tutorial009c_py310.py hl[9:14,17] *}

Artık şunu döndürmek yerine:

```json

        // Test with Japanese characters
        String word = "日本語テスト";
        float boost = 2.0f;
        List<String> readings = Arrays.asList("ニホンゴテスト");
        List<String> fields = Arrays.asList("content_ja");
        List<String> tags = Arrays.asList("japanese");
        List<String> roles = Arrays.asList("admin");

        elevateWord = new ElevateWord(word, boost, readings, fields, tags, roles);