改动（mapping + 灌入结构）

mappings/search_products.json：把原来的 title_zh/title_en/brief_zh/... 改成按语言 key 的对象结构（ /products/_doc/1 { "title": {"en":...} } ）同时在这些字段下预置了全部 analyzer 语言: arabic, armenian, basque, brazilian, bulgarian, catalan, chinese, cjk, czech, danish, dutch, english, finnish, french, galician, german, greek, hindi, hungarian, indonesian, italian, norwegian, persian, portuguese, romanian, russian, spanish, swedish, turkish, thai 实现为 type: object + properties，同时满足“按语言灌入”和“按语言 analyzer”。索引灌入（全量/增量/transformer）已同步改完 indexer/document_transformer.py：输出从 title_zh/title_en/... 改为： title: {<primary_lang>: 原文, en?: 翻译, zh?: 翻译} brief/description/vendor 同理 category_path/category_name_text 也改为语言对象（避免查询侧继续依赖旧字段） indexer/incremental_service.py：embedding 取值从 title_en/title_zh 改为从 title 对象里优先取 en，否则取 zh，否则取任一可用语言。查询侧与配置、API/文档已同步 search/es_query_builder.py：查询字段统一改成点路径：title.zh / title.en / vendor.zh / vendor.zh.keyword / category_name_text.zh 等。 config/config.yaml：field boosts / indexes 里的字段名同步为新点路径。 API & formatter： api/result_formatter.py 已支持新结构（并保留对旧 *_zh/_en 的兼容兜底）。 api/models.py、相关 docs/examples 里的 vendor_zh.keyword 等已更新为 vendor.zh.keyword。文档/脚本：docs/、README.md、scripts/ 里所有旧字段名引用已批量替换为新结构。

改动（mapping + 灌入结构）
mappings/search_products.json：把原来的 title_zh/title_en/brief_zh/... 改成按语言 key 的对象结构（ /products/_doc/1 { "title": {"en":...} } ）同时在这些字段下预置了全部 analyzer 语言: arabic, armenian, basque, brazilian, bulgarian, catalan, chinese, cjk, czech, danish, dutch, english, finnish, french, galician, german, greek, hindi, hungarian, indonesian, italian, norwegian, persian, portuguese, romanian, russian, spanish, swedish, turkish, thai 实现为 type: object + properties，同时满足“按语言灌入”和“按语言 analyzer”。索引灌入（全量/增量/transformer）已同步改完 indexer/document_transformer.py：输出从 title_zh/title_en/... 改为： title: {<primary_lang>: 原文, en?: 翻译, zh?: 翻译} brief/description/vendor 同理 category_path/category_name_text 也改为语言对象（避免查询侧继续依赖旧字段） indexer/incremental_service.py：embedding 取值从 title_en/title_zh 改为从 title 对象里优先取 en，否则取 zh，否则取任一可用语言。查询侧与配置、API/文档已同步 search/es_query_builder.py：查询字段统一改成点路径：title.zh / title.en / vendor.zh / vendor.zh.keyword / category_name_text.zh 等。 config/config.yaml：field boosts / indexes 里的字段名同步为新点路径。 API & formatter： api/result_formatter.py 已支持新结构（并保留对旧 *_zh/_en 的兼容兜底）。 api/models.py、相关 docs/examples 里的 vendor_zh.keyword 等已更新为 vendor.zh.keyword。文档/脚本：docs/、README.md、scripts/ 里所有旧字段名引用已批量替换为新结构。
tangwang
1 parent 62b7972c
Showing 31 changed files with 1673 additions and 503 deletions Show diff stats
CLAUDE.md
README.md
api/models.py
api/result_formatter.py
config/config.yaml
config/utils.py
docs/MySQL到ES字段映射说明-业务版.md
docs/MySQL到ES文档映射说明.md
docs/Search-API-Examples.md
docs/基础配置指南.md
docs/常用查询 - ES.md
docs/搜索API对接指南.md
docs/搜索API速查表.md
docs/相关性检索优化说明.md
docs/系统设计文档.md
docs/系统设计文档v1.md
docs/索引字段说明v1.md
docs/索引字段说明v2-mapping结构.md
docs/索引字段说明v2-plan.md
docs/索引字段说明v2.md
@@ -256,12 +256,12 @@ The system uses centralized configuration through `config/config.yaml`:
 {
   "tenant_id": "keyword",           // Multi-tenant isolation
   "spu_id": "keyword",              // Product identifier
-  "title_zh/en": "text",            // Multi-language titles
-  "brief_zh/en": "text",            // Short descriptions
-  "description_zh/en": "text",      // Detailed descriptions
-  "vendor_zh/en": "text",           // Supplier/brand with keyword subfield
-  "category_path_zh/en": "text",    // Hierarchical category paths
-  "category_name_zh/en": "text",    // Category names for search
+  "title.zh/en": "text",            // Multi-language titles
+  "brief.zh/en": "text",            // Short descriptions
+  "description.zh/en": "text",      // Detailed descriptions
+  "vendor.zh/en": "text",           // Supplier/brand with keyword subfield
+  "category_path.zh/en": "text",    // Hierarchical category paths
+  "category_name_text.zh/en": "text",    // Category names for search
   "category1/2/3_name": "keyword",  // Multi-level category filtering
   "tags": "keyword",                // Product tags
   "specifications": "nested",       // Product variants (color, size, etc.)
@@ -318,11 +318,11 @@ The system uses centralized configuration through `config/config.yaml`:
 **Field Boost Configuration**:
 ```yaml
 field_boosts:
-  title_zh/en: 3.0              # Highest priority
-  brief_zh/en: 1.5              # Medium priority
-  description_zh/en: 1.0        # Lower priority
-  vendor_zh/en: 1.5             # Brand emphasis
-  category_path_zh/en: 1.5      # Category relevance
+  title.zh/en: 3.0              # Highest priority
+  brief.zh/en: 1.5              # Medium priority
+  description.zh/en: 1.0        # Lower priority
+  vendor.zh/en: 1.5             # Brand emphasis
+  category_path.zh/en: 1.5      # Category relevance
   tags: 1.0                     # Tag matching
 ```
@@ -15,8 +15,8 @@
 "query" : {
   "dis_max" : {
     "queries" : [
-      {"match" : { "title_en" : xxx }},
-      {"match" : { "title_zh" : xxx }},
+      {"match" : { "title.en" : xxx }},
+      {"match" : { "title.zh" : xxx }},
       {"match" : { "title_xx" : xxx }}    
     ],
     "tie_breakler" : 0.8
@@ -86,7 +86,7 @@ class SearchRequest(BaseModel):
             "examples": [
                 {
                     "category_name": ["手机", "电子产品"],
-                    "vendor_zh.keyword": "奇乐",
+                    "vendor.zh.keyword": "奇乐",
                     "specifications": {"name": "颜色", "value": "白色"}
                 },
                 {
@@ -32,13 +32,22 @@ class ResultFormatter:
             lang = "en"
         def pick_lang_field(src: Dict[str, Any], base: str) -> Optional[str]:
-            """从 *_zh / *_en 字段中按语言选择一个值，若目标语言缺失则回退到另一种。"""
-            zh_val = src.get(f"{base}_zh")
-            en_val = src.get(f"{base}_en")
+            """
+            从多语言对象字段中按语言选择一个值：
+              - 新结构: {base: {"zh": "...", "en": "...", ...}}
+              - 兼容旧结构: {base_zh: "...", base_en: "..."}
+            若目标语言缺失则回退到另一种。
+            """
+            obj = src.get(base)
+            if isinstance(obj, dict):
+                zh_val = obj.get("zh")
+                en_val = obj.get("en")
+            else:
+                zh_val = src.get(f"{base}_zh")
+                en_val = src.get(f"{base}_en")
             if lang == "zh":
                 return zh_val or en_val
-            else:
-                return en_val or zh_val
+            return en_val or zh_val
         for hit in es_hits:
             source = hit.get('_source', {})
@@ -60,7 +69,7 @@ class ResultFormatter:
             description = pick_lang_field(source, "description")
             vendor = pick_lang_field(source, "vendor")
             category_path = pick_lang_field(source, "category_path")
-            category_name = pick_lang_field(source, "category_name")
+            category_name = pick_lang_field(source, "category_name_text") or source.get("category_name")
             # Extract SKUs
             skus = []
@@ -15,20 +15,20 @@ es_settings:
 # 只配置权重，不配置字段结构（字段结构由 mappings/search_products.json 定义）
 field_boosts:
   # 文本相关性字段
-  title_zh: 3.0
-  brief_zh: 1.5
-  description_zh: 1.0
-  vendor_zh: 1.5
-  title_en: 3.0
-  brief_en: 1.5
-  description_en: 1.0
-  vendor_en: 1.5
+  "title.zh": 3.0
+  "brief.zh": 1.5
+  "description.zh": 1.0
+  "vendor.zh": 1.5
+  "title.en": 3.0
+  "brief.en": 1.5
+  "description.en": 1.0
+  "vendor.en": 1.5
   # 分类相关字段
-  category_path_zh: 1.5
-  category_name_zh: 1.5
-  category_path_en: 1.5
-  category_name_en: 1.5
+  "category_path.zh": 1.5
+  "category_name_text.zh": 1.5
+  "category_path.en": 1.5
+  "category_name_text.en": 1.5
   # 标签和属性值字段
   tags: 1.0
@@ -42,33 +42,33 @@ indexes:
   - name: "default"
     label: "默认搜索"
     fields:
-      - "title_zh"
-      - "brief_zh"
-      - "description_zh"
-      - "vendor_zh"
+      - "title.zh"
+      - "brief.zh"
+      - "description.zh"
+      - "vendor.zh"
       - "tags"
-      - "category_path_zh"
-      - "category_name_zh"
+      - "category_path.zh"
+      - "category_name_text.zh"
       - "option1_values"
     boost: 1.0
   - name: "title"
     label: "标题搜索"
     fields:
-      - "title_zh"
+      - "title.zh"
     boost: 2.0
   - name: "vendor"
     label: "品牌搜索"
     fields:
-      - "vendor_zh"
+      - "vendor.zh"
     boost: 1.5
   - name: "category"
     label: "类目搜索"
     fields:
-      - "category_path_zh"
-      - "category_name_zh"
+      - "category_path.zh"
+      - "category_name_text.zh"
     boost: 1.5
   - name: "tags"
@@ -17,7 +17,7 @@ def get_match_fields_for_index(config: SearchConfig, index_name: str = &quot;default&quot;
         index_name: Name of the index domain (default: "default")
     Returns:
-        List of field names with boost, e.g., ["title_zh^3.0", "brief_zh^1.5"]
+        List of field names with boost, e.g., ["title.zh^3.0", "brief.zh^1.5"]
     """
     # Find the index config
     index_config = None
@@ -28,14 +28,14 @@
 | ES 字段 | 数据来源表 | 表中字段 | 转换说明 |
 |---------|-----------|----------|----------|
-| `title_zh` | SPU 表 | `title` | 如果主语言是中文，直接使用；否则翻译为中文 |
-| `title_en` | SPU 表 | `title` | 如果主语言是英文，直接使用；否则翻译为英文 |
-| `brief_zh` | SPU 表 | `brief` | 同上 |
-| `brief_en` | SPU 表 | `brief` | 同上 |
-| `description_zh` | SPU 表 | `description` | 同上 |
-| `description_en` | SPU 表 | `description` | 同上 |
-| `vendor_zh` | SPU 表 | `vendor` | 同上 |
-| `vendor_en` | SPU 表 | `vendor` | 同上 |
+| `title.zh` | SPU 表 | `title` | 如果主语言是中文，直接使用；否则翻译为中文 |
+| `title.en` | SPU 表 | `title` | 如果主语言是英文，直接使用；否则翻译为英文 |
+| `brief.zh` | SPU 表 | `brief` | 同上 |
+| `brief.en` | SPU 表 | `brief` | 同上 |
+| `description.zh` | SPU 表 | `description` | 同上 |
+| `description.en` | SPU 表 | `description` | 同上 |
+| `vendor.zh` | SPU 表 | `vendor` | 同上 |
+| `vendor.en` | SPU 表 | `vendor` | 同上 |
 **翻译规则：**
 - 根据租户配置的 `primary_language` 确定主语言
@@ -104,7 +104,7 @@ category_ids = [&quot;1&quot;, &quot;2&quot;, &quot;3&quot;]
 | ES 字段 | 数据来源 | 转换说明 |
 |---------|----------|----------|
-| `category_path_zh` | 类目名称列表 | 用 `/` 连接：`"电子产品/手机/iPhone"` |
+| `category_path.zh` | 类目名称列表 | 用 `/` 连接：`"电子产品/手机/iPhone"` |
 | `category1_name` | 类目名称列表[0] | 一级类目：`"电子产品"` |
 | `category2_name` | 类目名称列表[1] | 二级类目：`"手机"` |
 | `category3_name` | 类目名称列表[2] | 三级类目：`"iPhone"` |
@@ -300,13 +300,13 @@ sku_weight_units = 去重后的重量单位列表
 | ES 字段 | 数据来源 | 转换说明 |
 |---------|----------|----------|
-| `title_embedding` | SPU 表 `title` | 使用文本编码器（BGE）将标题转换为 1024 维向量<br/>优先使用 `title_en`，如果没有则使用 `title_zh` |
+| `title_embedding` | SPU 表 `title` | 使用文本编码器（BGE）将标题转换为 1024 维向量<br/>优先使用 `title.en`，如果没有则使用 `title.zh` |
 **生成逻辑：**
 ```
 如果启用向量搜索：
-  文本 = title_en 或 title_zh
+  文本 = title.en 或 title.zh
   向量 = 文本编码器.encode(文本)
   title_embedding = 向量（1024 维浮点数组）
 ```
@@ -322,17 +322,17 @@ sku_weight_units = 去重后的重量单位列表
 | **基础字段** |
 | `tenant_id` | SPU | `tenant_id` | 租户ID |
 | `spu_id` | SPU | `id` | 商品ID |
-| `title_zh/en` | SPU | `title` | 标题（多语言） |
-| `brief_zh/en` | SPU | `brief` | 简介（多语言） |
-| `description_zh/en` | SPU | `description` | 描述（多语言） |
-| `vendor_zh/en` | SPU | `vendor` | 品牌（多语言） |
+| `title.zh/en` | SPU | `title` | 标题（多语言） |
+| `brief.zh/en` | SPU | `brief` | 简介（多语言） |
+| `description.zh/en` | SPU | `description` | 描述（多语言） |
+| `vendor.zh/en` | SPU | `vendor` | 品牌（多语言） |
 | `tags` | SPU | `tags` | 标签数组 |
 | `image_url` | SPU | `image_src` | 主图URL |
 | `sales` | SPU | `fake_sales` | 销量 |
 | `create_time` | SPU | `create_time` | 创建时间 |
 | `update_time` | SPU | `update_time` | 更新时间 |
 | **类别字段** |
-| `category_path_zh` | SPU + 类目映射 | `category_path` → 类目名称 | 类目路径 |
+| `category_path.zh` | SPU + 类目映射 | `category_path` → 类目名称 | 类目路径 |
 | `category1_name` | SPU + 类目映射 | `category_path` → 类目名称[0] | 一级类目 |
 | `category2_name` | SPU + 类目映射 | `category_path` → 类目名称[1] | 二级类目 |
 | `category3_name` | SPU + 类目映射 | `category_path` → 类目名称[2] | 三级类目 |
@@ -451,14 +451,14 @@ GET /search_products/_search
         "_source": {
           "tenant_id": "162",
           "spu_id": "74174",
-          "title_zh": "实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】",
-          "title_en": "Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging",
-          "brief_zh": "实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】",
-          "brief_en": "Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging",
-          "description_zh": "<p>实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】</p>",
-          "description_en": "<p>Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging]</p",
-          "vendor_zh": "顺达",
-          "vendor_en": "Shunda",
+          "title.zh": "实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】",
+          "title.en": "Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging",
+          "brief.zh": "实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】",
+          "brief.en": "Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging",
+          "description.zh": "<p>实色二阶碳纤维魔方 方形 2阶 塑料【英文包装】</p>",
+          "description.en": "<p>Solid Color 2nd Order Carbon Fiber Rubik's Cube Square 2 Steps Plastic [English Packaging]</p",
+          "vendor.zh": "顺达",
+          "vendor.en": "Shunda",
           "title_embedding": [
             -0.005125104915350676,
 ...
@@ -468,12 +468,12 @@ GET /search_products/_search
             "魔方",
             "ShunDa"
           ],
-          "category_path_zh": "玩具/汽车",
-          "category_path_en": null,
+          "category_path.zh": "玩具/汽车",
+          "category_path.en": null,
           "category1_name": "玩具",
           "category2_name": "汽车",
-          "category_name_zh": "汽车",
-          "category_name_en": null,
+          "category_name_text.zh": "汽车",
+          "category_name_text.en": null,
           "category_name": "汽车",
           "category_id": "593389466647880832",
           "category_level": 2,
@@ -599,7 +599,7 @@ category_ids [&quot;1&quot;, &quot;2&quot;, &quot;3&quot;]
   ↓ [通过映射表转换]
 category_names ["电子产品", "手机", "iPhone"]
   ↓ [构建字段]
-category_path_zh: "电子产品/手机/iPhone"
+category_path.zh: "电子产品/手机/iPhone"
 category1_name: "电子产品"
 category2_name: "手机"
 category3_name: "iPhone"
@@ -644,12 +644,12 @@ sku_prices: [99.99, 109.99, 129.99]
 |--------|---------|------|
 | `id` | `spu_id` | 商品ID |
 | `tenant_id` | `tenant_id` | 租户ID |
-| `title` | `title_zh/en` | 标题 |
-| `brief` | `brief_zh/en` | 简介 |
-| `description` | `description_zh/en` | 描述 |
-| `vendor` | `vendor_zh/en` | 品牌 |
+| `title` | `title.zh/en` | 标题 |
+| `brief` | `brief.zh/en` | 简介 |
+| `description` | `description.zh/en` | 描述 |
+| `vendor` | `vendor.zh/en` | 品牌 |
 | `tags` | `tags` | 标签 |
-| `category_path` | `category_path_zh` | 类目路径 |
+| `category_path` | `category_path.zh` | 类目路径 |
 | `category_id` | `category_id` | 类目ID |
 | `category_level` | `category_level` | 类目层级 |
 | `image_src` | `image_url` | 主图 |
@@ -217,10 +217,10 @@ WHERE deleted = 0 AND category_id IS NOT NULL
 文本字段支持中英文双语，根据租户配置进行自动翻译。
 **字段列表：**
-- `title_zh` / `title_en`
-- `brief_zh` / `brief_en`
-- `description_zh` / `description_en`
-- `vendor_zh` / `vendor_en`
+- `title.zh` / `title.en`
+- `brief.zh` / `brief.en`
+- `description.zh` / `description.en`
+- `vendor.zh` / `vendor.en`
 **填充逻辑：**
@@ -244,8 +244,8 @@ WHERE deleted = 0 AND category_id IS NOT NULL
                translate_to_en=translate_to_en,
                translate_to_zh=translate_to_zh,
            )
-           doc['title_zh'] = translations.get('zh') or (title_text if primary_lang == 'zh' else None)
-           doc['title_en'] = translations.get('en') or (title_text if primary_lang == 'en' else None)
+           doc['title.zh'] = translations.get('zh') or (title_text if primary_lang == 'zh' else None)
+           doc['title.en'] = translations.get('en') or (title_text if primary_lang == 'en' else None)
    ```
 **代码位置：** `indexer/document_transformer.py:168-298`
@@ -340,7 +340,7 @@ for cid in category_ids:
 if category_names:
     # 构建类目路径字符串
     category_path_str = '/'.join(category_names)
-    doc['category_path_zh'] = category_path_str  # 例如："电子产品/手机/iPhone"
+    doc['category_path.zh'] = category_path_str  # 例如："电子产品/手机/iPhone"
     # 填充分层类目名称
     if len(category_names) > 0:
@@ -358,7 +358,7 @@ if category_names:
 ```python
 elif pd.notna(spu_row.get('category')):
     category = str(spu_row['category'])
-    doc['category_name_zh'] = category
+    doc['category_name_text.zh'] = category
     # 尝试从 category 字段解析多级分类（如果包含 "/"）
     if '/' in category:
@@ -375,8 +375,8 @@ elif pd.notna(spu_row.get(&#39;category&#39;)):
 | ES 字段 | 类型 | 说明 |
 |---------|------|------|
-| `category_path_zh` | text | 类目路径字符串（如："电子产品/手机/iPhone"） |
-| `category_path_en` | text | 类目路径英文（暂未实现） |
+| `category_path.zh` | text | 类目路径字符串（如："电子产品/手机/iPhone"） |
+| `category_path.en` | text | 类目路径英文（暂未实现） |
 | `category1_name` | keyword | 一级类目名称 |
 | `category2_name` | keyword | 二级类目名称 |
 | `category3_name` | keyword | 三级类目名称 |
@@ -673,7 +673,7 @@ if enable_embedding and encoder and documents:
     title_texts = []
     title_doc_indices = []
     for i, (_, doc) in enumerate(documents):
-        title_text = doc.get("title_en") or doc.get("title_zh")
+        title_text = doc.get("title.en") or doc.get("title.zh")
         if title_text and str(title_text).strip():
             title_texts.append(str(title_text))
             title_doc_indices.append(i)
@@ -858,16 +858,16 @@ spu_df[&quot;_is_deleted&quot;] = spu_df[&quot;deleted&quot;].apply(_is_deleted_value)
 {
   "tenant_id": "1",
   "spu_id": "12345",
-  "title_zh": "iPhone 15 Pro Max",
-  "title_en": "iPhone 15 Pro Max",
-  "brief_zh": "最新款 iPhone",
-  "brief_en": "Latest iPhone",
-  "description_zh": "详细描述...",
-  "description_en": "Detailed description...",
-  "vendor_zh": "Apple",
-  "vendor_en": "Apple",
+  "title.zh": "iPhone 15 Pro Max",
+  "title.en": "iPhone 15 Pro Max",
+  "brief.zh": "最新款 iPhone",
+  "brief.en": "Latest iPhone",
+  "description.zh": "详细描述...",
+  "description.en": "Detailed description...",
+  "vendor.zh": "Apple",
+  "vendor.en": "Apple",
   "tags": ["手机", "智能手机", "Apple"],
-  "category_path_zh": "电子产品/手机/iPhone",
+  "category_path.zh": "电子产品/手机/iPhone",
   "category1_name": "电子产品",
   "category2_name": "手机",
   "category3_name": "iPhone",
@@ -132,7 +132,7 @@ curl -X POST &quot;http://localhost:6002/search/&quot; \
     "language": "zh",
     "filters": {
       "category_name": "手机",
-      "vendor_zh.keyword": "奇乐"
+      "vendor.zh.keyword": "奇乐"
     }
   }'
 ```
@@ -294,7 +294,7 @@ curl -X POST &quot;http://localhost:6002/search/&quot; \
     "language": "zh",
     "filters": {
       "category_name": ["手机", "电子产品"],
-      "vendor_zh.keyword": "品牌A"
+      "vendor.zh.keyword": "品牌A"
     },
     "range_filters": {
       "min_price": {
@@ -26,12 +26,12 @@
 - `create_time`, `update_time` (date) - 时间字段
 #### 多语言文本字段
-- `title_zh`, `title_en` (text) - 标题（中英文）
-- `brief_zh`, `brief_en` (text) - 短描述（中英文）
-- `description_zh`, `description_en` (text) - 详细描述（中英文）
-- `vendor_zh`, `vendor_en` (text) - 供应商/品牌（中英文，含keyword子字段）
-- `category_path_zh`, `category_path_en` (text) - 类目路径（中英文）
-- `category_name_zh`, `category_name_en` (text) - 类目名称（中英文）
+- `title.zh`, `title.en` (text) - 标题（中英文）
+- `brief.zh`, `brief.en` (text) - 短描述（中英文）
+- `description.zh`, `description.en` (text) - 详细描述（中英文）
+- `vendor.zh`, `vendor.en` (text) - 供应商/品牌（中英文，含keyword子字段）
+- `category_path.zh`, `category_path.en` (text) - 类目路径（中英文）
+- `category_name_text.zh`, `category_name_text.en` (text) - 类目名称（中英文）
 #### 类目字段
 - `category_id` (keyword) - 类目ID
@@ -64,12 +64,12 @@
 ### 文本召回字段
 默认同时搜索以下字段（中英文都包含）：
-- `title_zh^3.0`, `title_en^3.0`
-- `brief_zh^1.5`, `brief_en^1.5`
-- `description_zh^1.0`, `description_en^1.0`
-- `vendor_zh^1.5`, `vendor_en^1.5`
-- `category_path_zh^1.5`, `category_path_en^1.5`
-- `category_name_zh^1.5`, `category_name_en^1.5`
+- `title.zh^3.0`, `title.en^3.0`
+- `brief.zh^1.5`, `brief.en^1.5`
+- `description.zh^1.0`, `description.en^1.0`
+- `vendor.zh^1.5`, `vendor.en^1.5`
+- `category_path.zh^1.5`, `category_path.en^1.5`
+- `category_name_text.zh^1.5`, `category_name_text.en^1.5`
 - `tags^1.0`
 ### 查询架构
@@ -126,12 +126,12 @@
 - `language="en"`: 优先返回 `*_en` 字段，如果为空则回退到 `*_zh` 字段
 映射规则：
-- `title_zh/en` → `title`
-- `brief_zh/en` → `brief`
-- `description_zh/en` → `description`
-- `vendor_zh/en` → `vendor`
-- `category_path_zh/en` → `category_path`
-- `category_name_zh/en` → `category_name`
+- `title.zh/en` → `title`
+- `brief.zh/en` → `brief`
+- `description.zh/en` → `description`
+- `vendor.zh/en` → `vendor`
+- `category_path.zh/en` → `category_path`
+- `category_name_text.zh/en` → `category_name`
 ## 配置修改
@@ -22,7 +22,7 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39;   -X GET &#39;http://localhost:9200/search_products_
 curl -u 'essa:4hOaLaf41y2VuI8y'   -X GET 'http://localhost:9200/search_products/_search?pretty'   -H 'Content-Type: application/json'   -d '{
     "size": 100,
-    "_source": ["title_zh", "title_en"],
+    "_source": ["title"],
     "query": {
       "bool": {
         "filter": [
@@ -34,13 +34,13 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39;   -X GET &#39;http://localhost:9200/search_products/
 curl -u 'essa:4hOaLaf41y2VuI8y'   -X GET 'http://localhost:9200/search_products/_search?pretty'   -H 'Content-Type: application/json'   -d '{
     "size": 1,
-    "_source": ["title_zh", "title_en"],
+    "_source": ["title"],
     "query": {
       "bool": {
         "must": [
           {
             "match": {
-              "title_zh": {
+              "title.zh": {
                 "query": "裙子"
               }
             }
@@ -54,7 +54,7 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39;   -X GET &#39;http://localhost:9200/search_products/
 }'
 curl -u 'essa:4hOaLaf41y2VuI8y'   -X GET 'http://localhost:9200/search_products/_analyze'   -H 'Content-Type: application/json'   -d '{
-  "analyzer": "query_ansj",
+  "analyzer": "icu_analyzer",
   "text": "14寸第4代-眼珠实身冰雪公仔带手动大推车,搪胶雪宝宝"
 }'
@@ -73,13 +73,13 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39;   -X GET &#39;http://localhost:9200/search_products/
           "multi_match": {
             "_name": "base_query",
             "fields": [
-              "title_zh^3.0",
-              "brief_zh^1.5",
-              "description_zh",
-              "vendor_zh^1.5",
+              "title.zh^3.0",
+              "brief.zh^1.5",
+              "description.zh",
+              "vendor.zh^1.5",
               "tags",
-              "category_path_zh^1.5",
-              "category_name_zh^1.5",
+              "category_path.zh^1.5",
+              "category_name_text.zh^1.5",
               "option1_values^0.5"
             ],
             "minimum_should_match": "75%",
@@ -110,13 +110,13 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39;   -X GET &#39;http://localhost:9200/search_products/
           "multi_match": {
             "_name": "base_query",
             "fields": [
-              "title_zh^3.0",
-              "brief_zh^1.5",
-              "description_zh",
-              "vendor_zh^1.5",
+              "title.zh^3.0",
+              "brief.zh^1.5",
+              "description.zh",
+              "vendor.zh^1.5",
               "tags",
-              "category_path_zh^1.5",
-              "category_name_zh^1.5",
+              "category_path.zh^1.5",
+              "category_name_text.zh^1.5",
               "option1_values^0.5"
             ],
             "minimum_should_match": "75%",
@@ -271,7 +271,7 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39; -X GET &#39;http://localhost:9200/search_products/_s
   "size": 1,
   "_source": [
     "spu_id", 
-    "title_zh", 
+    "title", 
     "category1_name", 
     "category2_name",
     "category3_name",
@@ -552,7 +552,7 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39; -X GET &#39;http://localhost:9200/search_products/_s
     }
   },
   "size": 1,
-  "_source": ["spu_id", "title_zh", "specifications"]
+  "_source": ["spu_id", "title", "specifications"]
 }'
 ## 4. 统计查询
@@ -597,7 +597,7 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39; -X GET &#39;http://localhost:9200/search_products/_s
     }
   },
   "size": 10,
-  "_source": ["spu_id", "title_zh", "category_name_zh", "category_path_zh"]
+  "_source": ["spu_id", "title", "category_name_text", "category_path"]
 }'
 ### 5.2 查找有option但没有specifications的文档（数据转换问题）
@@ -614,7 +614,32 @@ curl -u &#39;essa:4hOaLaf41y2VuI8y&#39; -X GET &#39;http://localhost:9200/search_products/_s
     }
   },
   "size": 10,
-  "_source": ["spu_id", "title_zh", "option1_name", "option2_name", "option3_name", "specifications"]
+  "_source": ["spu_id", "title", "option1_name", "option2_name", "option3_name", "specifications"]
 }'
+重排序：
+GET /search_products/_search
+{
+    "query": {
+        "match": {  
+            "title.en": {
+                "query": "quick brown fox",
+                "minimum_should_match": "90%"
+            }
+        }
+    },
+    "rescore": {
+        "window_size": 50, 
+        "query": {         
+            "rescore_query": {
+                "match_phrase": {
+                    "title.en": {
+                        "query": "quick brown fox",
+                        "slop":  50
+                    }
+                }
+            }
+        }
+    }
+}
@@ -203,7 +203,7 @@ curl -X POST &quot;http://120.76.41.98:6002/search/&quot; \
     "category1_name": "服装",                    // 可以为单值 或者 数组 匹配数组中任意一个
     "category2_name": "男装",                    // 可以为单值 或者 数组 匹配数组中任意一个
     "category3_name": "衬衫",                    // 可以为单值 或者 数组 匹配数组中任意一个
-    "vendor_zh.keyword": ["奇乐", "品牌A"],      // 可以为单值 或者 数组 匹配数组中任意一个
+    "vendor.zh.keyword": ["奇乐", "品牌A"],      // 可以为单值 或者 数组 匹配数组中任意一个
     "tags": "手机",                              // 可以为单值 或者 数组 匹配数组中任意一个
     // specifications 嵌套过滤（特殊格式）
     "specifications": {
@@ -274,7 +274,7 @@ curl -X POST &quot;http://120.76.41.98:6002/search/&quot; \
 - `category_name`: 类目名称
 - `category1_name`, `category2_name`, `category3_name`: 多级类目
 - `category_id`: 类目ID
-- `vendor_zh.keyword`, `vendor_en.keyword`: 供应商/品牌（使用keyword子字段）
+- `vendor.zh.keyword`, `vendor.en.keyword`: 供应商/品牌（使用keyword子字段）
 - `tags`: 标签（keyword类型，支持数组）
 - `option1_name`, `option2_name`, `option3_name`: 选项名称
 - `specifications`: 规格过滤（嵌套字段，格式见上文）
@@ -602,7 +602,9 @@ curl &quot;http://localhost:6002/search/instant?q=玩具&amp;size=5&quot;
 {
   "id": "12345",
   "source": {
-    "title_zh": "芭比时尚娃娃",
+    "title": {
+      "zh": "芭比时尚娃娃"
+    },
     "min_price": 89.99,
     "category1_name": "玩具"
   }
@@ -739,7 +741,7 @@ curl &quot;http://localhost:6002/search/12345&quot;
 | 字段 | 类型 | 说明 |
 |------|------|------|
 | `spu_id` | string | SPU ID |
-| `title` | string | 商品标题（根据language参数自动选择title_zh或title_en） |
+| `title` | string | 商品标题（根据language参数自动选择 `title.zh` 或 `title.en`） |
 | `brief` | string | 商品短描述（根据language参数自动选择） |
 | `description` | string | 商品详细描述（根据language参数自动选择） |
 | `vendor` | string | 供应商/品牌（根据language参数自动选择） |
@@ -1088,7 +1090,9 @@ curl -X POST &quot;http://localhost:6004/indexer/index&quot; \
       "document": {
         "tenant_id": "162",
         "spu_id": "123",
-        "title_zh": "商品标题",
+        "title": {
+          "zh": "商品标题"
+        },
         ...
       }
     },
@@ -1298,7 +1302,7 @@ curl -X GET &quot;http://localhost:6004/indexer/health&quot;
   "size": 20,
   "language": "zh",
   "filters": {
-    "vendor_zh.keyword": ["品牌A", "品牌B"]
+    "vendor.zh.keyword": ["品牌A", "品牌B"]
   },
   "range_filters": {
     "min_price": {
@@ -1505,12 +1509,12 @@ curl -X GET &quot;http://localhost:6004/indexer/health&quot;
 |--------|------|------|
 | `tenant_id` | keyword | 租户ID（多租户隔离） |
 | `spu_id` | keyword | SPU ID |
-| `title_zh`, `title_en` | text | 商品标题（中英文） |
-| `brief_zh`, `brief_en` | text | 商品短描述（中英文） |
-| `description_zh`, `description_en` | text | 商品详细描述（中英文） |
-| `vendor_zh`, `vendor_en` | text | 供应商/品牌（中英文，含keyword子字段） |
-| `category_path_zh`, `category_path_en` | text | 类目路径（中英文，用于搜索） |
-| `category_name_zh`, `category_name_en` | text | 类目名称（中英文，用于搜索） |
+| `title.<lang>` | object/text | 商品标题（多语言对象，如 `title.zh`, `title.en`） |
+| `brief.<lang>` | object/text | 商品短描述（多语言对象，如 `brief.zh`, `brief.en`） |
+| `description.<lang>` | object/text | 商品详细描述（多语言对象，如 `description.zh`, `description.en`） |
+| `vendor.<lang>` | object/text | 供应商/品牌（多语言对象，且带 keyword 子字段，如 `vendor.zh.keyword`） |
+| `category_path.<lang>` | object/text | 类目路径（多语言对象，用于搜索，如 `category_path.zh`） |
+| `category_name_text.<lang>` | object/text | 类目名称（多语言对象，用于搜索，如 `category_name_text.zh`） |
 | `category_id` | keyword | 类目ID |
 | `category_name` | keyword | 类目名称（用于过滤） |
 | `category_level` | integer | 类目层级 |
@@ -1552,7 +1556,7 @@ curl -X GET &quot;http://localhost:6004/indexer/health&quot;
 - `category_name`: 类目名称
 - `category1_name`, `category2_name`, `category3_name`: 多级类目
 - `category_id`: 类目ID
-- `vendor_zh.keyword`, `vendor_en.keyword`: 供应商/品牌（使用keyword子字段）
+- `vendor.zh.keyword`, `vendor.en.keyword`: 供应商/品牌（使用keyword子字段）
 - `tags`: 标签（keyword类型）
 - `option1_name`, `option2_name`, `option3_name`: 选项名称
 - `specifications`: 规格过滤（嵌套字段，格式见[过滤器详解](#33-过滤器详解)）
@@ -19,7 +19,7 @@ POST /search/
   "filters": {
     "category_name": "手机",                    // 单值
     "category1_name": "服装",                  // 一级类目
-    "vendor_zh.keyword": ["奇乐", "品牌A"],    // 多值（OR）
+    "vendor.zh.keyword": ["奇乐", "品牌A"],    // 多值（OR）
     "tags": "手机",                             // 标签
     // specifications 嵌套过滤
     "specifications": {
@@ -20,7 +20,7 @@
       {
         "multi_match": {
           "query": "戏水动物",
-          "fields": ["title_zh^3.0", "brief_zh^1.5", ...],
+          "fields": ["title.zh^3.0", "brief.zh^1.5", ...],
           "minimum_should_match": "67%",
           "tie_breaker": 0.9,
           "boost": 1,
@@ -40,7 +40,7 @@
       {
         "multi_match": {
           "_name": "base_query",
-          "fields": ["title_zh^3.0", "brief_zh^1.5", ...],
+          "fields": ["title.zh^3.0", "brief.zh^1.5", ...],
           "minimum_should_match": "75%",
           "operator": "AND",
           "query": "戏水动物",
@@ -51,7 +51,7 @@
         "multi_match": {
           "_name": "base_query_trans_en",
           "boost": 0.4,
-          "fields": ["title_en^3.0", ...],
+          "fields": ["title.en^3.0", ...],
           "minimum_should_match": "75%",
           "operator": "AND",
           "query": "water sports",
@@ -61,7 +61,7 @@
       {
         "multi_match": {
           "query": "戏水动物",
-          "fields": ["title_zh^3.0", "brief_zh^1.5", ...],
+          "fields": ["title.zh^3.0", "brief.zh^1.5", ...],
           "type": "phrase",
           "slop": 2,
           "boost": 1.0,
@@ -71,7 +71,7 @@
       {
         "multi_match": {
           "query": "戏水 动物",
-          "fields": ["title_zh^3.0", "brief_zh^1.5", ...],
+          "fields": ["title.zh^3.0", "brief.zh^1.5", ...],
           "operator": "AND",
           "tie_breaker": 0.9,
           "boost": 0.1,
@@ -31,18 +31,18 @@
 {
   "tenant_id": "1",
   "spu_id": "123",
-  "title_zh": "蓝牙耳机",
-  "title_en": "Bluetooth Headphones",
-  "brief_zh": "高品质蓝牙耳机",
-  "brief_en": "High-quality Bluetooth headphones",
+  "title.zh": "蓝牙耳机",
+  "title.en": "Bluetooth Headphones",
+  "brief.zh": "高品质蓝牙耳机",
+  "brief.en": "High-quality Bluetooth headphones",
   "category_name": "电子产品",
-  "category_path_zh": "电子产品/音频设备/耳机",
-  "category_path_en": "Electronics/Audio/Headphones",
+  "category_path.zh": "电子产品/音频设备/耳机",
+  "category_path.en": "Electronics/Audio/Headphones",
   "category1_name": "电子产品",
   "category2_name": "音频设备",
   "category3_name": "耳机",
-  "vendor_zh": "品牌A",
-  "vendor_en": "Brand A",
+  "vendor.zh": "品牌A",
+  "vendor.en": "Brand A",
   "min_price": 199.99,
   "max_price": 299.99,
   "option1_name": "color",
@@ -93,7 +93,7 @@
 - **查询配置硬编码**：查询相关配置（字段 boost、查询域等）硬编码在 `search/query_config.py`
 **索引结构特点**：
-1. **多语言字段**：所有文本字段支持中英文（`title_zh/en`, `brief_zh/en`, `description_zh/en`, `vendor_zh/en`, `category_path_zh/en`, `category_name_zh/en`）
+1. **多语言字段**：所有文本字段支持中英文（`title.zh/en`, `brief.zh/en`, `description.zh/en`, `vendor.zh/en`, `category_path.zh/en`, `category_name_text.zh/en`）
 2. **嵌套字段**：
    - `skus`: SKU 嵌套数组（包含价格、库存、选项值等）
    - `specifications`: 规格嵌套数组（包含 name、value、sku_id）
@@ -125,12 +125,12 @@
 - `create_time`, `update_time` (date): 创建和更新时间
 #### 多语言文本字段
-- `title_zh/en` (text): 标题（中英文）
-- `brief_zh/en` (text): 短描述（中英文）
-- `description_zh/en` (text): 详细描述（中英文）
-- `vendor_zh/en` (text): 供应商/品牌（中英文）
-- `category_path_zh/en` (text): 类目路径（中英文）
-- `category_name_zh/en` (text): 类目名称（中英文）
+- `title.zh/en` (text): 标题（中英文）
+- `brief.zh/en` (text): 短描述（中英文）
+- `description.zh/en` (text): 详细描述（中英文）
+- `vendor.zh/en` (text): 供应商/品牌（中英文）
+- `category_path.zh/en` (text): 类目路径（中英文）
+- `category_name_text.zh/en` (text): 类目名称（中英文）
 **分析器配置**：
 - 中文字段：`hanlp_index`（索引时）/ `hanlp_standard`（查询时）
@@ -282,7 +282,7 @@ indexes:
 2. **数据转换**（`indexer/spu_transformer.py`）：
    - 按`spu_id`和`tenant_id`关联SPU和SKU数据
    - **多语言字段映射**：
-     - MySQL的`title` → ES的`title_zh`（英文字段设为空）
+     - MySQL的`title` → ES的`title.zh`（英文字段设为空）
      - 其他文本字段类似处理
    - **分类字段映射**：
      - 从SPU表的`category_path`解析多级类目（`category1_name`, `category2_name`, `category3_name`）
@@ -483,7 +483,7 @@ laptop AND (gaming OR professional) ANDNOT cheap
        - 过滤逻辑：不同维度（不同name）是AND关系，相同维度（相同name）的多个值是OR关系
        - 使用ES的`nested`查询实现
    - **text_recall**: 文本相关性召回
-     - 同时搜索中英文字段（`title_zh/en`, `brief_zh/en`, `description_zh/en`, `vendor_zh/en`, `category_path_zh/en`, `category_name_zh/en`, `tags`）
+     - 同时搜索中英文字段（`title.zh/en`, `brief.zh/en`, `description.zh/en`, `vendor.zh/en`, `category_path.zh/en`, `category_name_text.zh/en`, `tags`）
      - 使用 `multi_match` 查询，支持字段 boost
      - 中文字段使用中文分词器，英文字段使用英文分析器
    - **embedding_recall**: 向量召回（KNN）
@@ -503,8 +503,8 @@ laptop AND (gaming OR professional) ANDNOT cheap
               "multi_match": {
                 "query": "手机",
                 "fields": [
-                  "title_zh^3.0", "title_en^3.0",
-                  "brief_zh^1.5", "brief_en^1.5",
+                  "title.zh^3.0", "title.en^3.0",
+                  "brief.zh^1.5", "brief.en^1.5",
                   ...
                 ]
               }
@@ -424,7 +424,7 @@ laptop AND (gaming OR professional) ANDNOT cheap
    - **结构**: `filters AND (text_recall OR embedding_recall)`
    - **filters**: 前端传递的过滤条件（永远起作用，放在 `filter` 中）
    - **text_recall**: 文本相关性召回
-     - 同时搜索中英文字段（`title_zh/en`, `brief_zh/en`, `description_zh/en`, `vendor_zh/en`, `category_path_zh/en`, `category_name_zh/en`, `tags`）
+     - 同时搜索中英文字段（`title.zh/en`, `brief.zh/en`, `description.zh/en`, `vendor.zh/en`, `category_path.zh/en`, `category_name_text.zh/en`, `tags`）
      - 使用 `multi_match` 查询，支持字段 boost
    - **embedding_recall**: 向量召回（KNN）
      - 使用 `title_embedding` 字段进行 KNN 搜索
@@ -443,8 +443,8 @@ laptop AND (gaming OR professional) ANDNOT cheap
               "multi_match": {
                 "query": "手机",
                 "fields": [
-                  "title_zh^3.0", "title_en^3.0",
-                  "brief_zh^1.5", "brief_en^1.5",
+                  "title.zh^3.0", "title.en^3.0",
+                  "brief.zh^1.5", "brief.en^1.5",
                   ...
                 ]
               }
@@ -539,7 +539,7 @@ title brief description seo_title seo_description seo_keywords vendor vendor_key
 2. tenant - 数据灌入：
 对每个tenant设置一一个语言，作为tenant的一个基本配置。
-写入索引的时候，根据语言配置将title 等文本字段写入对应的索引字段（比如 title_en）
+写入索引的时候，根据语言配置将title 等文本字段写入对应的索引字段（比如 title.en）
 查询的时候，将query转为商家所用语言，并到对应的field去查。
@@ -16,22 +16,22 @@
       },
       // 文本相关性相关字段
-      "title_zh": {
+      "title.zh": {
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "brief_zh": {
+      "brief.zh": {
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "description_zh": {
+      "description.zh": {
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "vendor_zh": {
+      "vendor.zh": {
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard",
@@ -43,23 +43,23 @@
         }
       },
-      "title_en": {
+      "title.en": {
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english",
       },
-      "brief_en": {
+      "brief.en": {
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english",
       },
-      "description_en": {
+      "description.en": {
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english",
       },
-      "vendor_en": {
+      "vendor.en": {
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english",
@@ -103,22 +103,22 @@
       },
       // 分类相关
-      "category_path_zh": { // 提供模糊查询功能，辅助相关性计算
+      "category_path.zh": { // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "category_path_en": {  // 提供模糊查询功能，辅助相关性计算
+      "category_path.en": {  // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english"
       },
-      "category_name_zh": { // 提供模糊查询功能，辅助相关性计算
+      "category_name_text.zh": { // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "category_name_en": {  // 提供模糊查询功能，辅助相关性计算
+      "category_name_text.en": {  // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english"
@@ -10,7 +10,7 @@
 #### 1.1 多语言文本字段
-- 为文本字段添加中英文双字段支持（title_zh/title_en, brief_zh/brief_en, description_zh/description_en, vendor_zh/vendor_en）
+- 为文本字段添加中英文双字段支持（title.zh/title.en, brief.zh/brief.en, description.zh/description.en, vendor.zh/vendor.en）
 - 中文字段使用 `index_ansj`/`query_ansj` 分析器（对应文档中的hanlp_index/hanlp_standard）
 - 英文字段使用 `english` 分析器
 - **暂时只填充中文字段，英文字段设为空**（不需要语言检测，每个tenant的语言预先知道）
@@ -28,22 +28,22 @@ category_path varchar(500)
 mapping：
-      "category_path_zh": { // 提供模糊查询功能，辅助相关性计算
+      "category_path.zh": { // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "category_path_en": {  // 提供模糊查询功能，辅助相关性计算
+      "category_path.en": {  // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english"
       },
-      "category_name_zh": { // 提供模糊查询功能，辅助相关性计算
+      "category_name_text.zh": { // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "category_name_en": {  // 提供模糊查询功能，辅助相关性计算
+      "category_name_text.en": {  // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english"
@@ -104,15 +104,15 @@ mapping：
 #### 2.1 多语言文本处理
-- **简化处理**：暂时只填充中文字段（title_zh, brief_zh, description_zh, vendor_zh）
-- 英文字段（title_en, brief_en, description_en, vendor_en）设为空或None
+- **简化处理**：暂时只填充中文字段（title.zh, brief.zh, description.zh, vendor.zh）
+- 英文字段（title.en, brief.en, description.en, vendor.en）设为空或None
 - 不需要语言检测逻辑
 #### 2.2 分类路径解析
 - 从 `category_path` 字段按 "/" 分割提取分类层级
 - 分割结果赋值给 `category1_name`, `category2_name`, `category3_name`
-- 生成 `category_path_zh`（暂时填充，`category_path_en` 设为空）
+- 生成 `category_path.zh`（暂时填充，`category_path.en` 设为空）
 #### 2.3 SKU字段展开计算
@@ -152,7 +152,7 @@ mapping：
 **文件**: `indexer/spu_transformer.py`
-- **简化多语言处理**：只填充中文字段（title_zh, brief_zh等），英文字段设为空或None
+- **简化多语言处理**：只填充中文字段（title.zh, brief.zh等），英文字段设为空或None
 - 实现分类路径的解析和展开
 - 实现SKU字段的展开计算（价格、重量、库存）
 - 实现选项字段的处理
@@ -28,24 +28,24 @@
 | 字段名 | ES类型 | 分析器 | 说明 | 数据来源 |
 |--------|--------|--------|------|----------|
-| `title_zh` | text | hanlp_index / hanlp_standard | 中文标题 | MySQL: `shoplazza_product_spu.title` |
-| `title_en` | text | english | 英文标题 | 暂为空（待翻译服务填充） |
+| `title.zh` | text | hanlp_index / hanlp_standard | 中文标题 | MySQL: `shoplazza_product_spu.title` |
+| `title.en` | text | english | 英文标题 | 暂为空（待翻译服务填充） |
 #### 2.2 描述字段
 | 字段名 | ES类型 | 分析器 | 说明 | 数据来源 |
 |--------|--------|--------|------|----------|
-| `brief_zh` | text | hanlp_index / hanlp_standard | 中文短描述 | MySQL: `shoplazza_product_spu.brief` |
-| `brief_en` | text | english | 英文短描述 | 暂为空 |
-| `description_zh` | text | hanlp_index / hanlp_standard | 中文详细描述 | MySQL: `shoplazza_product_spu.description` |
-| `description_en` | text | english | 英文详细描述 | 暂为空 |
+| `brief.zh` | text | hanlp_index / hanlp_standard | 中文短描述 | MySQL: `shoplazza_product_spu.brief` |
+| `brief.en` | text | english | 英文短描述 | 暂为空 |
+| `description.zh` | text | hanlp_index / hanlp_standard | 中文详细描述 | MySQL: `shoplazza_product_spu.description` |
+| `description.en` | text | english | 英文详细描述 | 暂为空 |
 #### 2.3 供应商/品牌字段
 | 字段名 | ES类型 | 分析器 | 子字段 | 说明 | 数据来源 |
 |--------|--------|--------|--------|------|----------|
-| `vendor_zh` | text | hanlp_index / hanlp_standard | `vendor_zh.keyword` (keyword, normalizer: lowercase) | 中文供应商/品牌 | MySQL: `shoplazza_product_spu.vendor` |
-| `vendor_en` | text | english | `vendor_en.keyword` (keyword, normalizer: lowercase) | 英文供应商/品牌 | 暂为空 |
+| `vendor.zh` | text | hanlp_index / hanlp_standard | `vendor.zh.keyword` (keyword, normalizer: lowercase) | 中文供应商/品牌 | MySQL: `shoplazza_product_spu.vendor` |
+| `vendor.en` | text | english | `vendor.en.keyword` (keyword, normalizer: lowercase) | 英文供应商/品牌 | 暂为空 |
 **用途**:
 - `text` 类型：用于全文搜索（支持模糊匹配）
@@ -65,15 +65,15 @@
 | 字段名 | ES类型 | 分析器 | 说明 | 数据来源 |
 |--------|--------|--------|------|----------|
-| `category_path_zh` | text | hanlp_index / hanlp_standard | 中文类目路径（如"服装/男装/衬衫"） | MySQL: `shoplazza_product_spu.category_path` |
-| `category_path_en` | text | english | 英文类目路径 | 暂为空 |
+| `category_path.zh` | text | hanlp_index / hanlp_standard | 中文类目路径（如"服装/男装/衬衫"） | MySQL: `shoplazza_product_spu.category_path` |
+| `category_path.en` | text | english | 英文类目路径 | 暂为空 |
 #### 4.2 类目名称（用于搜索）
 | 字段名 | ES类型 | 分析器 | 说明 | 数据来源 |
 |--------|--------|--------|------|----------|
-| `category_name_zh` | text | hanlp_index / hanlp_standard | 中文类目名称 | MySQL: `shoplazza_product_spu.category` |
-| `category_name_en` | text | english | 英文类目名称 | 暂为空 |
+| `category_name_text.zh` | text | hanlp_index / hanlp_standard | 中文类目名称 | MySQL: `shoplazza_product_spu.category` |
+| `category_name_text.en` | text | english | 英文类目名称 | 暂为空 |
 #### 4.3 类目标识（用于过滤和分面）
@@ -87,7 +87,7 @@
 | `category3_name` | keyword | 三级类目名称 | 从 `category_path` 解析 |
 **用途**:
-- `category_path_zh/en`, `category_name_zh/en`: 用于全文搜索，支持模糊匹配
+- `category_path.zh/en`, `category_name_text.zh/en`: 用于全文搜索，支持模糊匹配
 - `category_id`, `category_name`, `category_level`, `category1/2/3_name`: 用于精确过滤和分面聚合
 ### 5. 规格字段（Specifications）
@@ -348,20 +348,20 @@
 ### 搜索字段（参与相关性计算）
-- `title_zh`, `title_en` (boost: 3.0)
-- `brief_zh`, `brief_en` (boost: 1.5)
-- `description_zh`, `description_en` (boost: 1.0)
-- `vendor_zh`, `vendor_en` (boost: 1.5)
+- `title.zh`, `title.en` (boost: 3.0)
+- `brief.zh`, `brief.en` (boost: 1.5)
+- `description.zh`, `description.en` (boost: 1.0)
+- `vendor.zh`, `vendor.en` (boost: 1.5)
 - `tags` (boost: 1.0)
-- `category_path_zh`, `category_path_en` (boost: 1.5)
-- `category_name_zh`, `category_name_en` (boost: 1.5)
+- `category_path.zh`, `category_path.en` (boost: 1.5)
+- `category_name_text.zh`, `category_name_text.en` (boost: 1.5)
 - `title_embedding` (向量召回，boost: 0.2)
 ### 过滤字段（精确匹配）
 - `tenant_id` (必需，多租户隔离)
 - `category_id`, `category_name`, `category1_name`, `category2_name`, `category3_name`
-- `vendor_zh.keyword`, `vendor_en.keyword`
+- `vendor.zh.keyword`, `vendor.en.keyword`
 - `specifications` (嵌套查询)
 - `min_price`, `max_price` (范围过滤)
 - `sales` (范围过滤)
@@ -395,12 +395,12 @@
 - `language="en"`: 优先返回 `*_en` 字段，如果为空则回退到 `*_zh` 字段
 映射到前端字段：
-- `title_zh/en` → `title`
-- `brief_zh/en` → `brief`
-- `description_zh/en` → `description`
-- `vendor_zh/en` → `vendor`
-- `category_path_zh/en` → `category_path`
-- `category_name_zh/en` → `category_name`
+- `title.zh/en` → `title`
+- `brief.zh/en` → `brief`
+- `description.zh/en` → `description`
+- `vendor.zh/en` → `vendor`
+- `category_path.zh/en` → `category_path`
+- `category_name_text.zh/en` → `category_name`
 ### 规格数据构建
@@ -434,12 +434,12 @@ filters AND (text_recall OR embedding_recall)
 ### 文本召回字段
 根据查询词的语言选择对应的索引字段：
-- `title_zh^3.0`, `title_en^3.0`
-- `brief_zh^1.5`, `brief_en^1.5`
-- `description_zh^1.0`, `description_en^1.0`
-- `vendor_zh^1.5`, `vendor_en^1.5`
-- `category_path_zh^1.5`, `category_path_en^1.5`
-- `category_name_zh^1.5`, `category_name_en^1.5`
+- `title.zh^3.0`, `title.en^3.0`
+- `brief.zh^1.5`, `brief.en^1.5`
+- `description.zh^1.0`, `description.en^1.0`
+- `vendor.zh^1.5`, `vendor.en^1.5`
+- `category_path.zh^1.5`, `category_path.en^1.5`
+- `category_name_text.zh^1.5`, `category_name_text.en^1.5`
 - `tags^1.0`
 ## 注意事项
@@ -52,12 +52,12 @@ tenant_config:
 ### 配置规则
 1. **主语言**：指定SKU表中 `title`、`brief`、`description`、`vendor` 等字段的语言。
-   - 如果主语言是 `zh`，这些字段的值会填充到 `title_zh`、`brief_zh` 等字段
-   - 如果主语言是 `en`，这些字段的值会填充到 `title_en`、`brief_en` 等字段
+   - 如果主语言是 `zh`，这些字段的值会填充到 `title.zh`、`brief.zh` 等字段
+   - 如果主语言是 `en`，这些字段的值会填充到 `title.en`、`brief.en` 等字段
 2. **翻译配置**：
-   - `translate_to_en: true`：如果主语言是中文，则会将中文内容翻译为英文，填充到 `title_en` 等字段
-   - `translate_to_zh: true`：如果主语言是英文，则会将英文内容翻译为中文，填充到 `title_zh` 等字段
+   - `translate_to_en: true`：如果主语言是中文，则会将中文内容翻译为英文，填充到 `title.en` 等字段
+   - `translate_to_zh: true`：如果主语言是英文，则会将英文内容翻译为中文，填充到 `title.zh` 等字段
    - **注意**：如果主语言本身就是目标语言，则不会触发翻译（例如主语言是英文，`translate_to_en: true` 不会触发翻译）
 3. **默认配置**：如果租户ID不在 `tenants` 中，则使用 `default` 配置。
@@ -72,8 +72,8 @@ tenant_config:
   "translate_to_zh": false
 }
 ```
-- SKU表的 `title` 字段（中文）→ `title_zh`
-- 翻译服务将中文翻译为英文 → `title_en`
+- SKU表的 `title` 字段（中文）→ `title.zh`
+- 翻译服务将中文翻译为英文 → `title.en`
 **示例2：英文主语言，需要翻译中文**
 ```json
@@ -83,8 +83,8 @@ tenant_config:
   "translate_to_zh": true
 }
 ```
-- SKU表的 `title` 字段（英文）→ `title_en`
-- 翻译服务将英文翻译为中文 → `title_zh`
+- SKU表的 `title` 字段（英文）→ `title.en`
+- 翻译服务将英文翻译为中文 → `title.zh`
 **示例3：仅使用主语言，不翻译**
 ```json
@@ -94,8 +94,8 @@ tenant_config:
   "translate_to_zh": false
 }
 ```
-- SKU表的 `title` 字段（中文）→ `title_zh`
-- `title_en` 保持为 `null`
+- SKU表的 `title` 字段（中文）→ `title.zh`
+- `title.en` 保持为 `null`
 ### 配置更新
@@ -272,19 +272,19 @@ String json = response.body().string();
 {
   "tenant_id": "1",
   "spu_id": "123",
-  "title_zh": "商品标题",
-  "title_en": null,
-  "brief_zh": "商品简介",
-  "brief_en": null,
-  "description_zh": "商品详细描述",
-  "description_en": null,
-  "vendor_zh": "供应商名称",
-  "vendor_en": null,
+  "title.zh": "商品标题",
+  "title.en": null,
+  "brief.zh": "商品简介",
+  "brief.en": null,
+  "description.zh": "商品详细描述",
+  "description.en": null,
+  "vendor.zh": "供应商名称",
+  "vendor.en": null,
   "tags": ["标签1", "标签2"],
-  "category_path_zh": "类目1/类目2/类目3",
-  "category_path_en": null,
-  "category_name_zh": "类目名称",
-  "category_name_en": null,
+  "category_path.zh": "类目1/类目2/类目3",
+  "category_path.en": null,
+  "category_name_text.zh": "类目名称",
+  "category_name_text.en": null,
   "category_id": "100",
   "category_name": "类目名称",
   "category_level": 3,
@@ -453,11 +453,11 @@ for (String spuId : changedSpuIds) {
 |---------|--------|------|------|
 | 基础标识 | `tenant_id` | keyword | 租户ID |
 | 基础标识 | `spu_id` | keyword | SPU ID |
-| 文本字段 | `title_zh`, `title_en` | text | 标题（中英文） |
-| 文本字段 | `brief_zh`, `brief_en` | text | 简介（中英文） |
-| 文本字段 | `description_zh`, `description_en` | text | 描述（中英文） |
-| 文本字段 | `vendor_zh`, `vendor_en` | text | 供应商（中英文） |
-| 类目字段 | `category_path_zh`, `category_path_en` | text | 类目路径（中英文） |
+| 文本字段 | `title.zh`, `title.en` | text | 标题（中英文） |
+| 文本字段 | `brief.zh`, `brief.en` | text | 简介（中英文） |
+| 文本字段 | `description.zh`, `description.en` | text | 描述（中英文） |
+| 文本字段 | `vendor.zh`, `vendor.en` | text | 供应商（中英文） |
+| 类目字段 | `category_path.zh`, `category_path.en` | text | 类目路径（中英文） |
 | 类目字段 | `category1_name`, `category2_name`, `category3_name` | keyword | 分层类目名称 |
 | 价格字段 | `min_price`, `max_price` | float | 价格范围 |
 | 库存字段 | `total_inventory` | long | 总库存 |
@@ -178,12 +178,12 @@ category_path varchar(500)
 方案：采用方案2
 4. categoryPath索引 + Prefix 查询（categoryPath.keyword: "服装/男装"）（如果满足条件的key太多的则性能较差，比如 查询的是一级类目，类目树叶子节点太多时性能较差）
 5. categoryPath支撑模糊查询 和 多级cate keyword索引支撑精确查询。 索引阶段冗余，查询性能高。
-      "category_path_zh": { // 提供模糊查询功能，辅助相关性计算
+      "category_path.zh": { // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "hanlp_index",
         "search_analyzer": "hanlp_standard"
       },
-      "category_path_en": {  // 提供模糊查询功能，辅助相关性计算
+      "category_path.en": {  // 提供模糊查询功能，辅助相关性计算
         "type": "text",
         "analyzer": "english",
         "search_analyzer": "english"
@@ -22,8 +22,8 @@
 ```yaml
 translation_prompts:
   # 商品标题翻译提示词
-  product_title_zh: "请将原文翻译成中文商品SKU名称，要求：确保精确、完整地传达原文信息的基础上，语言简洁清晰、地道、专业。"
-  product_title_en: "Translate the original text into an English product SKU name. Requirements: Ensure accurate and complete transmission of the original information, with concise, clear, authentic, and professional language."
+  product_title.zh: "请将原文翻译成中文商品SKU名称，要求：确保精确、完整地传达原文信息的基础上，语言简洁清晰、地道、专业。"
+  product_title.en: "Translate the original text into an English product SKU name. Requirements: Ensure accurate and complete transmission of the original information, with concise, clear, authentic, and professional language."
   # query翻译提示词
   query_zh: "电商领域"
   query_en: "e-commerce domain"
@@ -35,8 +35,8 @@ translation_prompts:
 ### 提示词使用规则
 1. **商品标题翻译**：
-   - 中文→英文：使用 `product_title_en`
-   - 英文→中文：使用 `product_title_zh`
+   - 中文→英文：使用 `product_title.en`
+   - 英文→中文：使用 `product_title.zh`
 2. **其他字段翻译**（brief, description, vendor）：
    - 根据目标语言选择 `default_zh` 或 `default_en`
@@ -72,7 +72,7 @@ translator = Translator(
 # 测试商品标题翻译
 text = "蓝牙耳机"
-prompt = config.query_config.translation_prompts.get('product_title_en')
+prompt = config.query_config.translation_prompts.get('product_title.en')
 result = translator.translate(
     text,
     target_lang='en',
@@ -140,8 +140,8 @@ doc = transformer.transform_spu_to_doc(
     options=pd.DataFrame()
 )
-print(f"title_zh: {doc.get('title_zh')}")
-print(f"title_en: {doc.get('title_en')}")  # 应该包含翻译结果
+print(f"title.zh: {doc.get('title.zh')}")
+print(f"title.en: {doc.get('title.en')}")  # 应该包含翻译结果
 ```
 ### 5. 测试缓存功能
@@ -184,17 +184,40 @@ class SPUDocumentTransformer:
         translate_to_en = bool(self.tenant_config.get('translate_to_en'))
         translate_to_zh = bool(self.tenant_config.get('translate_to_zh'))
+        def _set_lang_obj(field_name: str, source_text: Optional[str], translations: Optional[Dict[str, str]] = None):
+            """
+            Write multilingual text field as an object, e.g.:
+              doc[field_name] = {"zh": "...", "en": "..."}
+            Only writes keys based on tenant primary_language + translate_to_en/translate_to_zh.
+            """
+            if not source_text or not str(source_text).strip():
+                return
+
+            obj: Dict[str, str] = {}
+            src = str(source_text)
+            obj[primary_lang] = src
+
+            tr = translations or {}
+            if translate_to_en and primary_lang != "en":
+                en_text = tr.get("en")
+                if en_text and str(en_text).strip():
+                    obj["en"] = str(en_text)
+            if translate_to_zh and primary_lang != "zh":
+                zh_text = tr.get("zh")
+                if zh_text and str(zh_text).strip():
+                    obj["zh"] = str(zh_text)
+
+            if obj:
+                doc[field_name] = obj
+
         # Title
         if pd.notna(spu_row.get('title')):
             title_text = str(spu_row['title'])
-            
-            # 使用translator的translate_for_indexing方法，自动处理多语言翻译
+
+            translations: Dict[str, str] = {}
             if self.translator:
-                # 根据目标语言选择对应的提示词
                 prompt_zh = self.translation_prompts.get('product_title_zh') or self.translation_prompts.get('default_zh')
                 prompt_en = self.translation_prompts.get('product_title_en') or self.translation_prompts.get('default_en')
-                
-                # 调用translate_for_indexing，自动处理翻译逻辑
                 translations = self.translator.translate_for_indexing(
                     title_text,
                     shop_language=primary_lang,
@@ -202,26 +225,14 @@ class SPUDocumentTransformer:
                     prompt=prompt_zh if primary_lang == 'zh' else prompt_en,
                     translate_to_en=translate_to_en,
                     translate_to_zh=translate_to_zh,
-                )
-                
-                # 填充翻译结果
-                doc['title_zh'] = translations.get('zh') or (title_text if primary_lang == 'zh' else None)
-                doc['title_en'] = translations.get('en') or (title_text if primary_lang == 'en' else None)
-            else:
-                # 无翻译器，只填充主语言字段
-                if primary_lang == 'zh':
-                    doc['title_zh'] = title_text
-                    doc['title_en'] = None
-                else:
-                    doc['title_zh'] = None
-                    doc['title_en'] = title_text
-        else:
-            doc['title_zh'] = None
-            doc['title_en'] = None
+                ) or {}
+
+            _set_lang_obj("title", title_text, translations)
         # Brief
         if pd.notna(spu_row.get('brief')):
             brief_text = str(spu_row['brief'])
+            translations: Dict[str, str] = {}
             if self.translator:
                 prompt = self.translation_prompts.get('default_zh') or self.translation_prompts.get('default_en')
                 translations = self.translator.translate_for_indexing(
@@ -231,23 +242,13 @@ class SPUDocumentTransformer:
                     prompt=prompt,
                     translate_to_en=translate_to_en,
                     translate_to_zh=translate_to_zh,
-                )
-                doc['brief_zh'] = translations.get('zh') or (brief_text if primary_lang == 'zh' else None)
-                doc['brief_en'] = translations.get('en') or (brief_text if primary_lang == 'en' else None)
-            else:
-                if primary_lang == 'zh':
-                    doc['brief_zh'] = brief_text
-                    doc['brief_en'] = None
-                else:
-                    doc['brief_zh'] = None
-                    doc['brief_en'] = brief_text
-        else:
-            doc['brief_zh'] = None
-            doc['brief_en'] = None
+                ) or {}
+            _set_lang_obj("brief", brief_text, translations)
         # Description
         if pd.notna(spu_row.get('description')):
             desc_text = str(spu_row['description'])
+            translations: Dict[str, str] = {}
             if self.translator:
                 prompt = self.translation_prompts.get('default_zh') or self.translation_prompts.get('default_en')
                 translations = self.translator.translate_for_indexing(
@@ -257,23 +258,13 @@ class SPUDocumentTransformer:
                     prompt=prompt,
                     translate_to_en=translate_to_en,
                     translate_to_zh=translate_to_zh,
-                )
-                doc['description_zh'] = translations.get('zh') or (desc_text if primary_lang == 'zh' else None)
-                doc['description_en'] = translations.get('en') or (desc_text if primary_lang == 'en' else None)
-            else:
-                if primary_lang == 'zh':
-                    doc['description_zh'] = desc_text
-                    doc['description_en'] = None
-                else:
-                    doc['description_zh'] = None
-                    doc['description_en'] = desc_text
-        else:
-            doc['description_zh'] = None
-            doc['description_en'] = None
+                ) or {}
+            _set_lang_obj("description", desc_text, translations)
         # Vendor
         if pd.notna(spu_row.get('vendor')):
             vendor_text = str(spu_row['vendor'])
+            translations: Dict[str, str] = {}
             if self.translator:
                 prompt = self.translation_prompts.get('default_zh') or self.translation_prompts.get('default_en')
                 translations = self.translator.translate_for_indexing(
@@ -283,19 +274,8 @@ class SPUDocumentTransformer:
                     prompt=prompt,
                     translate_to_en=translate_to_en,
                     translate_to_zh=translate_to_zh,
-                )
-                doc['vendor_zh'] = translations.get('zh') or (vendor_text if primary_lang == 'zh' else None)
-                doc['vendor_en'] = translations.get('en') or (vendor_text if primary_lang == 'en' else None)
-            else:
-                if primary_lang == 'zh':
-                    doc['vendor_zh'] = vendor_text
-                    doc['vendor_en'] = None
-                else:
-                    doc['vendor_zh'] = None
-                    doc['vendor_en'] = vendor_text
-        else:
-            doc['vendor_zh'] = None
-            doc['vendor_en'] = None
+                ) or {}
+            _set_lang_obj("vendor", vendor_text, translations)
     def _fill_category_fields(self, doc: Dict[str, Any], spu_row: pd.Series):
         """填充类目相关字段。"""
@@ -303,6 +283,8 @@ class SPUDocumentTransformer:
         # - 当商品的类目ID在映射中不存在时，视为“不合法类目”，整条类目相关字段都不写入（当成没有类目）
         # - 仅记录错误日志，不阻塞索引流程
+        primary_lang = self.tenant_config.get('primary_language', 'zh')
+
         if pd.notna(spu_row.get('category_path')):
             category_path = str(spu_row['category_path'])
@@ -329,8 +311,7 @@ class SPUDocumentTransformer:
             # 构建类目路径字符串（用于搜索）
             if category_names:
                 category_path_str = '/'.join(category_names)
-                doc['category_path_zh'] = category_path_str
-                doc['category_path_en'] = None  # 暂时设为空
+                doc['category_path'] = {primary_lang: category_path_str}
                 # 填充分层类目名称
                 if len(category_names) > 0:
@@ -342,8 +323,7 @@ class SPUDocumentTransformer:
         elif pd.notna(spu_row.get('category')):
             # 如果category_path为空，使用category字段作为category1_name的备选
             category = str(spu_row['category'])
-            doc['category_name_zh'] = category
-            doc['category_name_en'] = None
+            doc['category_name_text'] = {primary_lang: category}
             doc['category_name'] = category
             # 尝试从category字段解析多级分类
@@ -362,10 +342,8 @@ class SPUDocumentTransformer:
         if pd.notna(spu_row.get('category')):
             # 确保category相关字段都被设置（如果前面没有设置）
             category_name = str(spu_row['category'])
-            if 'category_name_zh' not in doc:
-                doc['category_name_zh'] = category_name
-            if 'category_name_en' not in doc:
-                doc['category_name_en'] = None
+            if 'category_name_text' not in doc:
+                doc['category_name_text'] = {primary_lang: category_name}
             if 'category_name' not in doc:
                 doc['category_name'] = category_name
@@ -587,13 +565,22 @@ class SPUDocumentTransformer:
         """
         填充标题向量化字段。
-        使用英文标题（title_en）生成embedding。如果title_en不存在，则使用title_zh。
+        使用英文标题（title.en）生成embedding。如果title.en不存在，则使用title.zh。
         Args:
             doc: ES文档字典
         """
-        # 优先使用英文标题，如果没有则使用中文标题
-        title_text = doc.get('title_en') or doc.get('title_zh')
+        # 优先使用英文标题，如果没有则使用中文标题；再没有则取任意可用语言
+        title_obj = doc.get("title") or {}
+        if isinstance(title_obj, dict):
+            title_text = title_obj.get("en") or title_obj.get("zh")
+            if not title_text:
+                for v in title_obj.values():
+                    if v and str(v).strip():
+                        title_text = str(v)
+                        break
+        else:
+            title_text = None
         if not title_text or not title_text.strip():
             logger.debug(f"No title text available for embedding, SPU: {doc.get('spu_id')}")
@@ -130,7 +130,15 @@ class IncrementalIndexerService:
             # 单条场景下也可补齐 embedding（仍走缓存）
             if enable_embedding and encoder:
-                title_text = doc.get("title_en") or doc.get("title_zh")
+                title_obj = doc.get("title") or {}
+                title_text = None
+                if isinstance(title_obj, dict):
+                    title_text = title_obj.get("en") or title_obj.get("zh")
+                    if not title_text:
+                        for v in title_obj.values():
+                            if v and str(v).strip():
+                                title_text = str(v)
+                                break
                 if title_text and str(title_text).strip():
                     try:
                         embeddings = encoder.encode(title_text)
@@ -560,7 +568,15 @@ class IncrementalIndexerService:
                     title_texts: List[str] = []
                     title_doc_indices: List[int] = []
                     for i, (_, doc) in enumerate(documents):
-                        title_text = doc.get("title_en") or doc.get("title_zh")
+                        title_obj = doc.get("title") or {}
+                        title_text = None
+                        if isinstance(title_obj, dict):
+                            title_text = title_obj.get("en") or title_obj.get("zh")
+                            if not title_text:
+                                for v in title_obj.values():
+                                    if v and str(v).strip():
+                                        title_text = str(v)
+                                        break
                         if title_text and str(title_text).strip():
                             title_texts.append(str(title_text))
                             title_doc_indices.append(i)
@@ -114,16 +114,17 @@ def test_full_indexing(tenant_id: str = &quot;162&quot;):
             print(f"\n文档 {i+1}:")
             print(f"  SPU ID: {doc.get('spu_id')}")
             print(f"  Tenant ID: {doc.get('tenant_id')}")
-            print(f"  标题 (中文): {doc.get('title_zh', 'N/A')}")
-            print(f"  标题 (英文): {doc.get('title_en', 'N/A')}")
+            title_obj = doc.get("title") or {}
+            print(f"  标题 (中文): {title_obj.get('zh', 'N/A') if isinstance(title_obj, dict) else 'N/A'}")
+            print(f"  标题 (英文): {title_obj.get('en', 'N/A') if isinstance(title_obj, dict) else 'N/A'}")
             # 检查租户162的翻译状态
             if tenant_id == "162":
-                # 租户162翻译应该关闭，title_en应该为None
-                if doc.get('title_en') is None:
-                    print(f"  ✓ 翻译已关闭（title_en为None）")
+                # 租户162翻译应该关闭：只写入主语言，不应出现 title.en
+                if isinstance(title_obj, dict) and title_obj.get("en") is None:
+                    print(f"  ✓ 翻译已关闭（title.en为空）")
                 else:
-                    print(f"  ⚠ 警告：翻译应该关闭，但title_en有值: {doc.get('title_en')}")
+                    print(f"  ⚠ 警告：翻译应该关闭，但title.en有值: {title_obj.get('en') if isinstance(title_obj, dict) else None}")
         return True
@@ -192,17 +193,18 @@ def test_incremental_indexing(tenant_id: str = &quot;162&quot;):
         print(f"✓ SPU文档获取成功")
         print(f"  SPU ID: {doc.get('spu_id')}")
         print(f"  Tenant ID: {doc.get('tenant_id')}")
-        print(f"  标题 (中文): {doc.get('title_zh', 'N/A')}")
-        print(f"  标题 (英文): {doc.get('title_en', 'N/A')}")
+        title_obj = doc.get("title") or {}
+        print(f"  标题 (中文): {title_obj.get('zh', 'N/A') if isinstance(title_obj, dict) else 'N/A'}")
+        print(f"  标题 (英文): {title_obj.get('en', 'N/A') if isinstance(title_obj, dict) else 'N/A'}")
         print(f"  SKU数量: {len(doc.get('skus', []))}")
         print(f"  规格数量: {len(doc.get('specifications', []))}")
         # 检查租户162的翻译状态
         if tenant_id == "162":
-            if doc.get('title_en') is None:
-                print(f"  ✓ 翻译已关闭（title_en为None）")
+            if isinstance(title_obj, dict) and title_obj.get("en") is None:
+                print(f"  ✓ 翻译已关闭（title.en为空）")
             else:
-                print(f"  ⚠ 警告：翻译应该关闭，但title_en有值: {doc.get('title_en')}")
+                print(f"  ⚠ 警告：翻译应该关闭，但title.en有值: {title_obj.get('en') if isinstance(title_obj, dict) else None}")
         return True
@@ -291,12 +293,13 @@ def test_document_transformer():
         if doc:
             print(f"✓ 文档转换成功")
-            print(f"  title_zh: {doc.get('title_zh')}")
-            print(f"  title_en: {doc.get('title_en')}")
+            title_obj = doc.get("title") or {}
+            print(f"  title.zh: {title_obj.get('zh') if isinstance(title_obj, dict) else None}")
+            print(f"  title.en: {title_obj.get('en') if isinstance(title_obj, dict) else None}")
             print(f"  SKU数量: {len(doc.get('skus', []))}")
             # 验证租户162翻译关闭
-            if doc.get('title_en') is None:
+            if isinstance(title_obj, dict) and title_obj.get("en") is None:
                 print(f"  ✓ 翻译已关闭（符合租户162配置）")
             else:
                 print(f"  ⚠ 警告：翻译应该关闭")
@@ -4,22 +4,12 @@
     "number_of_replicas": 0,
     "refresh_interval": "30s",
     "analysis": {
-      "analyzer": {
-        "hanlp_index": {
-          "type": "custom",
-          "tokenizer": "standard",
-          "filter": ["lowercase", "asciifolding"]
-        },
-        "hanlp_standard": {
-          "type": "custom",
-          "tokenizer": "standard",
-          "filter": ["lowercase", "asciifolding"]
-        }
-      },
       "normalizer": {
         "lowercase": {
           "type": "custom",
-          "filter": ["lowercase"]
+          "filter": [
+            "lowercase"
+          ]
         }
       }
     },
@@ -45,75 +35,963 @@
       "update_time": {
         "type": "date"
       },
-      "title_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
-      },
-      "qanchors_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
-      },
-      "keywords_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
-      },
-      "brief_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
-      },
-      "description_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
-      },
-      "vendor_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard",
-        "fields": {
-          "keyword": {
-            "type": "keyword",
-            "normalizer": "lowercase"
+      "title": {
+        "type": "object",
+        "properties": {
+          "ar": {
+            "type": "text",
+            "analyzer": "arabic"
+          },
+          "hy": {
+            "type": "text",
+            "analyzer": "armenian"
+          },
+          "eu": {
+            "type": "text",
+            "analyzer": "basque"
+          },
+          "pt_br": {
+            "type": "text",
+            "analyzer": "brazilian"
+          },
+          "bg": {
+            "type": "text",
+            "analyzer": "bulgarian"
+          },
+          "ca": {
+            "type": "text",
+            "analyzer": "catalan"
+          },
+          "zh": {
+            "type": "text",
+            "analyzer": "icu_analyzer"
+          },
+          "chinese": {
+            "type": "text",
+            "analyzer": "chinese"
+          },
+          "cjk": {
+            "type": "text",
+            "analyzer": "cjk"
+          },
+          "cs": {
+            "type": "text",
+            "analyzer": "czech"
+          },
+          "da": {
+            "type": "text",
+            "analyzer": "danish"
+          },
+          "nl": {
+            "type": "text",
+            "analyzer": "dutch"
+          },
+          "en": {
+            "type": "text",
+            "analyzer": "english"
+          },
+          "fi": {
+            "type": "text",
+            "analyzer": "finnish"
+          },
+          "fr": {
+            "type": "text",
+            "analyzer": "french"
+          },
+          "gl": {
+            "type": "text",
+            "analyzer": "galician"
+          },
+          "de": {
+            "type": "text",
+            "analyzer": "german"
+          },
+          "el": {
+            "type": "text",
+            "analyzer": "greek"
+          },
+          "hi": {
+            "type": "text",
+            "analyzer": "hindi"
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+                "normalizer": "lowercase"
+              }
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+          "it": {
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+            "analyzer": "italian",
+            "fields": {
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+                "normalizer": "lowercase"
+              }
+            }
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+          "no": {
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+            "analyzer": "norwegian",
+            "fields": {
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+                "normalizer": "lowercase"
+              }
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+            "fields": {
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+                "normalizer": "lowercase"
+              }
+            }
+          },
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+            "analyzer": "portuguese",
+            "fields": {
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+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "ro": {
+            "type": "text",
+            "analyzer": "romanian",
+            "fields": {
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+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "ru": {
+            "type": "text",
+            "analyzer": "russian",
+            "fields": {
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+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "es": {
+            "type": "text",
+            "analyzer": "spanish",
+            "fields": {
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+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "sv": {
+            "type": "text",
+            "analyzer": "swedish",
+            "fields": {
+              "keyword": {
+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "tr": {
+            "type": "text",
+            "analyzer": "turkish",
+            "fields": {
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+                "type": "keyword",
+                "normalizer": "lowercase"
+              }
+            }
+          },
+          "th": {
+            "type": "text",
+            "analyzer": "thai",
+            "fields": {
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+                "normalizer": "lowercase"
+              }
+            }
           }
         }
       },
@@ -158,25 +1036,263 @@
           }
         }
       },
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-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
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-        "analyzer": "english",
-        "search_analyzer": "english"
-      },
-      "category_name_zh": {
-        "type": "text",
-        "analyzer": "hanlp_index",
-        "search_analyzer": "hanlp_standard"
+      "category_path": {
+        "type": "object",
+        "properties": {
+          "ar": {
+            "type": "text",
+            "analyzer": "arabic"
+          },
+          "hy": {
+            "type": "text",
+            "analyzer": "armenian"
+          },
+          "eu": {
+            "type": "text",
+            "analyzer": "basque"
+          },
+          "pt_br": {
+            "type": "text",
+            "analyzer": "brazilian"
+          },
+          "bg": {
+            "type": "text",
+            "analyzer": "bulgarian"
+          },
+          "ca": {
+            "type": "text",
+            "analyzer": "catalan"
+          },
+          "zh": {
+            "type": "text",
+            "analyzer": "icu_analyzer"
+          },
+          "chinese": {
+            "type": "text",
+            "analyzer": "chinese"
+          },
+          "cjk": {
+            "type": "text",
+            "analyzer": "cjk"
+          },
+          "cs": {
+            "type": "text",
+            "analyzer": "czech"
+          },
+          "da": {
+            "type": "text",
+            "analyzer": "danish"
+          },
+          "nl": {
+            "type": "text",
+            "analyzer": "dutch"
+          },
+          "en": {
+            "type": "text",
+            "analyzer": "english"
+          },
+          "fi": {
+            "type": "text",
+            "analyzer": "finnish"
+          },
+          "fr": {
+            "type": "text",
+            "analyzer": "french"
+          },
+          "gl": {
+            "type": "text",
+            "analyzer": "galician"
+          },
+          "de": {
+            "type": "text",
+            "analyzer": "german"
+          },
+          "el": {
+            "type": "text",
+            "analyzer": "greek"
+          },
+          "hi": {
+            "type": "text",
+            "analyzer": "hindi"
+          },
+          "hu": {
+            "type": "text",
+            "analyzer": "hungarian"
+          },
+          "id": {
+            "type": "text",
+            "analyzer": "indonesian"
+          },
+          "it": {
+            "type": "text",
+            "analyzer": "italian"
+          },
+          "no": {
+            "type": "text",
+            "analyzer": "norwegian"
+          },
+          "fa": {
+            "type": "text",
+            "analyzer": "persian"
+          },
+          "pt": {
+            "type": "text",
+            "analyzer": "portuguese"
+          },
+          "ro": {
+            "type": "text",
+            "analyzer": "romanian"
+          },
+          "ru": {
+            "type": "text",
+            "analyzer": "russian"
+          },
+          "es": {
+            "type": "text",
+            "analyzer": "spanish"
+          },
+          "sv": {
+            "type": "text",
+            "analyzer": "swedish"
+          },
+          "tr": {
+            "type": "text",
+            "analyzer": "turkish"
+          },
+          "th": {
+            "type": "text",
+            "analyzer": "thai"
+          }
+        }
       },
-      "category_name_en": {
-        "type": "text",
-        "analyzer": "english",
-        "search_analyzer": "english"
+      "category_name_text": {
+        "type": "object",
+        "properties": {
+          "ar": {
+            "type": "text",
+            "analyzer": "arabic"
+          },
+          "hy": {
+            "type": "text",
+            "analyzer": "armenian"
+          },
+          "eu": {
+            "type": "text",
+            "analyzer": "basque"
+          },
+          "pt_br": {
+            "type": "text",
+            "analyzer": "brazilian"
+          },
+          "bg": {
+            "type": "text",
+            "analyzer": "bulgarian"
+          },
+          "ca": {
+            "type": "text",
+            "analyzer": "catalan"
+          },
+          "zh": {
+            "type": "text",
+            "analyzer": "icu_analyzer"
+          },
+          "chinese": {
+            "type": "text",
+            "analyzer": "chinese"
+          },
+          "cjk": {
+            "type": "text",
+            "analyzer": "cjk"
+          },
+          "cs": {
+            "type": "text",
+            "analyzer": "czech"
+          },
+          "da": {
+            "type": "text",
+            "analyzer": "danish"
+          },
+          "nl": {
+            "type": "text",
+            "analyzer": "dutch"
+          },
+          "en": {
+            "type": "text",
+            "analyzer": "english"
+          },
+          "fi": {
+            "type": "text",
+            "analyzer": "finnish"
+          },
+          "fr": {
+            "type": "text",
+            "analyzer": "french"
+          },
+          "gl": {
+            "type": "text",
+            "analyzer": "galician"
+          },
+          "de": {
+            "type": "text",
+            "analyzer": "german"
+          },
+          "el": {
+            "type": "text",
+            "analyzer": "greek"
+          },
+          "hi": {
+            "type": "text",
+            "analyzer": "hindi"
+          },
+          "hu": {
+            "type": "text",
+            "analyzer": "hungarian"
+          },
+          "id": {
+            "type": "text",
+            "analyzer": "indonesian"
+          },
+          "it": {
+            "type": "text",
+            "analyzer": "italian"
+          },
+          "no": {
+            "type": "text",
+            "analyzer": "norwegian"
+          },
+          "fa": {
+            "type": "text",
+            "analyzer": "persian"
+          },
+          "pt": {
+            "type": "text",
+            "analyzer": "portuguese"
+          },
+          "ro": {
+            "type": "text",
+            "analyzer": "romanian"
+          },
+          "ru": {
+            "type": "text",
+            "analyzer": "russian"
+          },
+          "es": {
+            "type": "text",
+            "analyzer": "spanish"
+          },
+          "sv": {
+            "type": "text",
+            "analyzer": "swedish"
+          },
+          "tr": {
+            "type": "text",
+            "analyzer": "turkish"
+          },
+          "th": {
+            "type": "text",
+            "analyzer": "thai"
+          }
+        }
       },
       "category_id": {
         "type": "keyword"
@@ -294,4 +1410,3 @@
     }
   }
 }
-
@@ -28,12 +28,12 @@ def check_es_facet_fields(es_client, tenant_id: str, size: int = 5):
         "size": size,
         "_source": [
             "spu_id",
-            "title_zh",
+            "title",
             "category1_name",
             "category2_name",
             "category3_name",
             "category_name",
-            "category_path_zh",
+            "category_path",
             "specifications",
             "option1_name",
             "option2_name",
@@ -51,14 +51,16 @@ def check_es_facet_fields(es_client, tenant_id: str, size: int = 5):
         for i, hit in enumerate(hits, 1):
             source = hit.get('_source', {})
+            title_obj = source.get("title") or {}
+            category_path_obj = source.get("category_path") or {}
             print(f"文档 {i}:")
             print(f"  spu_id: {source.get('spu_id')}")
-            print(f"  title_zh: {source.get('title_zh', '')[:50]}")
+            print(f"  title.zh: {str(title_obj.get('zh', ''))[:50] if isinstance(title_obj, dict) else ''}")
             print(f"  category1_name: {source.get('category1_name')}")
             print(f"  category2_name: {source.get('category2_name')}")
             print(f"  category3_name: {source.get('category3_name')}")
             print(f"  category_name: {source.get('category_name')}")
-            print(f"  category_path_zh: {source.get('category_path_zh')}")
+            print(f"  category_path.zh: {category_path_obj.get('zh') if isinstance(category_path_obj, dict) else None}")
             print(f"  option1_name: {source.get('option1_name')}")
             print(f"  option2_name: {source.get('option2_name')}")
             print(f"  option3_name: {source.get('option3_name')}")
@@ -20,11 +20,19 @@ def check_field_mapping(mapping_dict, field_path):
     current = mapping_dict
     for part in parts:
-        if isinstance(current, dict):
-            current = current.get(part)
-            if current is None:
-                return None
-        else:
+        if not isinstance(current, dict):
+            return None
+
+        # ES mapping nesting: object fields store subfields under "properties"
+        if "properties" in current and isinstance(current["properties"], dict):
+            current = current["properties"]
+
+        # multi-fields store subfields under "fields" (e.g. vendor.zh.keyword)
+        if part != parts[0] and "fields" in current and isinstance(current["fields"], dict) and part in current["fields"]:
+            current = current["fields"]
+
+        current = current.get(part)
+        if current is None:
             return None
     return current
@@ -70,12 +78,13 @@ def main():
     # 检查关键字段
     fields_to_check = [
-        'title_zh',
-        'brief_zh', 
-        'description_zh',
-        'vendor_zh',
-        'category_path_zh',
-        'category_name_zh'
+        "title.zh",
+        "brief.zh",
+        "description.zh",
+        "vendor.zh",
+        "vendor.zh.keyword",
+        "category_path.zh",
+        "category_name_text.zh"
     ]
     print("=" * 80)
@@ -83,7 +92,7 @@ def main():
     print("=" * 80)
     for field_name in fields_to_check:
-        field_mapping = index_mapping.get(field_name)
+        field_mapping = check_field_mapping(index_mapping, field_name)
         if field_mapping is None:
             print(f"\n❌ {field_name}: 字段不存在")
@@ -367,37 +367,37 @@ class ESQueryBuilder:
         """
         if language == 'zh':
             all_fields = [
-                "title_zh^3.0",
-                "brief_zh^1.5",
-                "description_zh",
-                "vendor_zh^1.5",
+                "title.zh^3.0",
+                "brief.zh^1.5",
+                "description.zh",
+                "vendor.zh^1.5",
                 "tags",
-                "category_path_zh^1.5",
-                "category_name_zh^1.5",
+                "category_path.zh^1.5",
+                "category_name_text.zh^1.5",
                 "option1_values^0.5"
             ]
             core_fields = [
-                "title_zh^3.0",
-                "brief_zh^1.5",
-                "vendor_zh^1.5",
-                "category_name_zh^1.5"
+                "title.zh^3.0",
+                "brief.zh^1.5",
+                "vendor.zh^1.5",
+                "category_name_text.zh^1.5"
             ]
         else:  # en
             all_fields = [
-                "title_en^3.0",
-                "brief_en^1.5",
-                "description_en",
-                "vendor_en^1.5",
+                "title.en^3.0",
+                "brief.en^1.5",
+                "description.en",
+                "vendor.en^1.5",
                 "tags",
-                "category_path_en^1.5",
-                "category_name_en^1.5",
+                "category_path.en^1.5",
+                "category_name_text.en^1.5",
                 "option1_values^0.5"
             ]
             core_fields = [
-                "title_en^3.0",
-                "brief_en^1.5",
-                "vendor_en^1.5",
-                "category_name_en^1.5"
+                "title.en^3.0",
+                "brief.en^1.5",
+                "vendor.en^1.5",
+                "category_name_text.en^1.5"
             ]
         return all_fields, core_fields
@@ -28,7 +28,7 @@ def sample_index_config() -&gt; IndexConfig:
     return IndexConfig(
         name="default",
         label="默认索引",
-        fields=["title_zh", "brief_zh", "tags"],
+        fields=["title.zh", "brief.zh", "tags"],
         boost=1.0
     )
@@ -60,10 +60,10 @@ def sample_search_config(sample_index_config) -&gt; SearchConfig:
         es_index_name="test_products",
         field_boosts={
             "tenant_id": 1.0,
-            "title_zh": 3.0,
-            "brief_zh": 1.5,
+            "title.zh": 3.0,
+            "brief.zh": 1.5,
             "tags": 1.0,
-            "category_path_zh": 1.5,
+            "category_path.zh": 1.5,
         },
         indexes=[sample_index_config],
         query_config=query_config,
@@ -89,8 +89,8 @@ def mock_es_client() -&gt; Mock:
                     "_id": "1",
                     "_score": 2.5,
                     "_source": {
-                        "title_zh": "红色连衣裙",
-                        "vendor_zh": "测试品牌",
+                        "title": {"zh": "红色连衣裙"},
+                        "vendor": {"zh": "测试品牌"},
                         "min_price": 299.0,
                         "category_id": "1"
                     }
@@ -99,8 +99,8 @@ def mock_es_client() -&gt; Mock:
                     "_id": "2",
                     "_score": 2.2,
                     "_source": {
-                        "title_zh": "蓝色连衣裙",
-                        "vendor_zh": "测试品牌",
+                        "title": {"zh": "蓝色连衣裙"},
+                        "vendor": {"zh": "测试品牌"},
                         "min_price": 399.0,
                         "category_id": "1"
                     }
@@ -142,8 +142,8 @@ def sample_search_results() -&gt; Dict[str, Any]:
         "query": "红色连衣裙",
         "expected_total": 2,
         "expected_products": [
-            {"title_zh": "红色连衣裙", "min_price": 299.0},
-            {"title_zh": "蓝色连衣裙", "min_price": 399.0}
+            {"title": "红色连衣裙", "min_price": 299.0},
+            {"title": "蓝色连衣裙", "min_price": 399.0}
         ]
     }
@@ -157,16 +157,16 @@ def temp_config_file() -&gt; Generator[str, None, None]:
     config_data = {
         "es_index_name": "test_products",
         "field_boosts": {
-            "title_zh": 3.0,
-            "brief_zh": 1.5,
+            "title.zh": 3.0,
+            "brief.zh": 1.5,
             "tags": 1.0,
-            "category_path_zh": 1.5
+            "category_path.zh": 1.5
         },
         "indexes": [
             {
                 "name": "default",
                 "label": "默认索引",
-                "fields": ["title_zh", "brief_zh", "tags"],
+                "fields": ["title.zh", "brief.zh", "tags"],
                 "boost": 1.0
             }
         ],